diff --git a/.github/workflows/pypi-release.yml b/.github/workflows/pypi-release.yml
index 261d7d06a1..5b7d2cd2fa 100644
--- a/.github/workflows/pypi-release.yml
+++ b/.github/workflows/pypi-release.yml
@@ -28,7 +28,7 @@ jobs:
run: twine check dist/*
- name: check PyPI versions
- if: github.ref == 'refs/heads/main' || github.ref == 'refs/heads/v2.3'
+ if: github.ref == 'refs/heads/main' || startsWith(github.ref, 'refs/heads/release/')
run: |
pip install --upgrade requests
python -c "\
diff --git a/docs/nodes/communityNodes.md b/docs/nodes/communityNodes.md
index 47ed407695..d5a5d5654f 100644
--- a/docs/nodes/communityNodes.md
+++ b/docs/nodes/communityNodes.md
@@ -8,28 +8,42 @@ To download a node, simply download the `.py` node file from the link and add it
To use a community workflow, download the the `.json` node graph file and load it into Invoke AI via the **Load Workflow** button in the Workflow Editor.
---------------------------------
+- Community Nodes
+ + [Depth Map from Wavefront OBJ](#depth-map-from-wavefront-obj)
+ + [Film Grain](#film-grain)
+ + [Generative Grammar-Based Prompt Nodes](#generative-grammar-based-prompt-nodes)
+ + [GPT2RandomPromptMaker](#gpt2randompromptmaker)
+ + [Grid to Gif](#grid-to-gif)
+ + [Halftone](#halftone)
+ + [Ideal Size](#ideal-size)
+ + [Image and Mask Composition Pack](#image-and-mask-composition-pack)
+ + [Image to Character Art Image Nodes](#image-to-character-art-image-nodes)
+ + [Image Picker](#image-picker)
+ + [Load Video Frame](#load-video-frame)
+ + [Make 3D](#make-3d)
+ + [Oobabooga](#oobabooga)
+ + [Prompt Tools](#prompt-tools)
+ + [Retroize](#retroize)
+ + [Size Stepper Nodes](#size-stepper-nodes)
+ + [Text font to Image](#text-font-to-image)
+ + [Thresholding](#thresholding)
+ + [XY Image to Grid and Images to Grids nodes](#xy-image-to-grid-and-images-to-grids-nodes)
+- [Example Node Template](#example-node-template)
+- [Disclaimer](#disclaimer)
+- [Help](#help)
+
--------------------------------
-### Make 3D
+### Depth Map from Wavefront OBJ
-**Description:** Create compelling 3D stereo images from 2D originals.
+**Description:** Render depth maps from Wavefront .obj files (triangulated) using this simple 3D renderer utilizing numpy and matplotlib to compute and color the scene. There are simple parameters to change the FOV, camera position, and model orientation.
-**Node Link:** [https://gitlab.com/srcrr/shift3d/-/raw/main/make3d.py](https://gitlab.com/srcrr/shift3d)
+To be imported, an .obj must use triangulated meshes, so make sure to enable that option if exporting from a 3D modeling program. This renderer makes each triangle a solid color based on its average depth, so it will cause anomalies if your .obj has large triangles. In Blender, the Remesh modifier can be helpful to subdivide a mesh into small pieces that work well given these limitations.
-**Example Node Graph:** https://gitlab.com/srcrr/shift3d/-/raw/main/example-workflow.json?ref_type=heads&inline=false
+**Node Link:** https://github.com/dwringer/depth-from-obj-node
-**Output Examples**
-
-{: style="height:512px;width:512px"}
-{: style="height:512px;width:512px"}
-
---------------------------------
-### Ideal Size
-
-**Description:** This node calculates an ideal image size for a first pass of a multi-pass upscaling. The aim is to avoid duplication that results from choosing a size larger than the model is capable of.
-
-**Node Link:** https://github.com/JPPhoto/ideal-size-node
+**Example Usage:**
+</br><img src="https://raw.githubusercontent.com/dwringer/depth-from-obj-node/main/depth_from_obj_usage.jpg" width="500" />
--------------------------------
### Film Grain
@@ -39,68 +53,19 @@ To use a community workflow, download the the `.json` node graph file and load i
**Node Link:** https://github.com/JPPhoto/film-grain-node
--------------------------------
-### Image Picker
+### Generative Grammar-Based Prompt Nodes
-**Description:** This InvokeAI node takes in a collection of images and randomly chooses one. This can be useful when you have a number of poses to choose from for a ControlNet node, or a number of input images for another purpose.
+**Description:** This set of 3 nodes generates prompts from simple user-defined grammar rules (loaded from custom files - examples provided below). The prompts are made by recursively expanding a special template string, replacing nonterminal "parts-of-speech" until no nonterminal terms remain in the string.
-**Node Link:** https://github.com/JPPhoto/image-picker-node
+This includes 3 Nodes:
+- *Lookup Table from File* - loads a YAML file "prompt" section (or of a whole folder of YAML's) into a JSON-ified dictionary (Lookups output)
+- *Lookups Entry from Prompt* - places a single entry in a new Lookups output under the specified heading
+- *Prompt from Lookup Table* - uses a Collection of Lookups as grammar rules from which to randomly generate prompts.
---------------------------------
-### Thresholding
+**Node Link:** https://github.com/dwringer/generative-grammar-prompt-nodes
-**Description:** This node generates masks for highlights, midtones, and shadows given an input image. You can optionally specify a blur for the lookup table used in making those masks from the source image.
-
-**Node Link:** https://github.com/JPPhoto/thresholding-node
-
-**Examples**
-
-Input:
-
-{: style="height:512px;width:512px"}
-
-Highlights/Midtones/Shadows:
-
-<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/727021c1-36ff-4ec8-90c8-105e00de986d" style="width: 30%" />
-<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/0b721bfc-f051-404e-b905-2f16b824ddfe" style="width: 30%" />
-<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/04c1297f-1c88-42b6-a7df-dd090b976286" style="width: 30%" />
-
-Highlights/Midtones/Shadows (with LUT blur enabled):
-
-<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/19aa718a-70c1-4668-8169-d68f4bd13771" style="width: 30%" />
-<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/0a440e43-697f-4d17-82ee-f287467df0a5" style="width: 30%" />
-<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/0701fd0f-2ca7-4fe2-8613-2b52547bafce" style="width: 30%" />
-
---------------------------------
-### Halftone
-
-**Description**: Halftone converts the source image to grayscale and then performs halftoning. CMYK Halftone converts the image to CMYK and applies a per-channel halftoning to make the source image look like a magazine or newspaper. For both nodes, you can specify angles and halftone dot spacing.
-
-**Node Link:** https://github.com/JPPhoto/halftone-node
-
-**Example**
-
-Input:
-
-{: style="height:512px;width:512px"}
-
-Halftone Output:
-
-{: style="height:512px;width:512px"}
-
-CMYK Halftone Output:
-
-{: style="height:512px;width:512px"}
-
---------------------------------
-### Retroize
-
-**Description:** Retroize is a collection of nodes for InvokeAI to "Retroize" images. Any image can be given a fresh coat of retro paint with these nodes, either from your gallery or from within the graph itself. It includes nodes to pixelize, quantize, palettize, and ditherize images; as well as to retrieve palettes from existing images.
-
-**Node Link:** https://github.com/Ar7ific1al/invokeai-retroizeinode/
-
-**Retroize Output Examples**
-
-
+**Example Usage:**
+</br><img src="https://raw.githubusercontent.com/dwringer/generative-grammar-prompt-nodes/main/lookuptables_usage.jpg" width="500" />
--------------------------------
### GPT2RandomPromptMaker
@@ -113,76 +78,49 @@ CMYK Halftone Output:
Generated Prompt: An enchanted weapon will be usable by any character regardless of their alignment.
-
+<img src="https://github.com/mickr777/InvokeAI/assets/115216705/8496ba09-bcdd-4ff7-8076-ff213b6a1e4c" width="200" />
--------------------------------
-### Load Video Frame
+### Grid to Gif
-**Description:** This is a video frame image provider + indexer/video creation nodes for hooking up to iterators and ranges and ControlNets and such for invokeAI node experimentation. Think animation + ControlNet outputs.
+**Description:** One node that turns a grid image into an image collection, one node that turns an image collection into a gif.
-**Node Link:** https://github.com/helix4u/load_video_frame
+**Node Link:** https://github.com/mildmisery/invokeai-GridToGifNode/blob/main/GridToGif.py
-**Example Node Graph:** https://github.com/helix4u/load_video_frame/blob/main/Example_Workflow.json
+**Example Node Graph:** https://github.com/mildmisery/invokeai-GridToGifNode/blob/main/Grid%20to%20Gif%20Example%20Workflow.json
-**Output Example:**
+**Output Examples**
-
-[Full mp4 of Example Output test.mp4](https://github.com/helix4u/load_video_frame/blob/main/test.mp4)
+<img src="https://raw.githubusercontent.com/mildmisery/invokeai-GridToGifNode/main/input.png" width="300" />
+<img src="https://raw.githubusercontent.com/mildmisery/invokeai-GridToGifNode/main/output.gif" width="300" />
--------------------------------
+### Halftone
-### Oobabooga
+**Description**: Halftone converts the source image to grayscale and then performs halftoning. CMYK Halftone converts the image to CMYK and applies a per-channel halftoning to make the source image look like a magazine or newspaper. For both nodes, you can specify angles and halftone dot spacing.
-**Description:** asks a local LLM running in Oobabooga's Text-Generation-Webui to write a prompt based on the user input.
+**Node Link:** https://github.com/JPPhoto/halftone-node
-**Link:** https://github.com/sammyf/oobabooga-node
+**Example**
+Input:
-**Example:**
+<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/fd5efb9f-4355-4409-a1c2-c1ca99e0cab4" width="300" />
-"describe a new mystical creature in its natural environment"
+Halftone Output:
-*can return*
+<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/7e606f29-e68f-4d46-b3d5-97f799a4ec2f" width="300" />
-"The mystical creature I am describing to you is called the "Glimmerwing". It is a majestic, iridescent being that inhabits the depths of the most enchanted forests and glimmering lakes. Its body is covered in shimmering scales that reflect every color of the rainbow, and it has delicate, translucent wings that sparkle like diamonds in the sunlight. The Glimmerwing's home is a crystal-clear lake, surrounded by towering trees with leaves that shimmer like jewels. In this serene environment, the Glimmerwing spends its days swimming gracefully through the water, chasing schools of glittering fish and playing with the gentle ripples of the lake's surface.
-As the sun sets, the Glimmerwing perches on a branch of one of the trees, spreading its wings to catch the last rays of light. The creature's scales glow softly, casting a rainbow of colors across the forest floor. The Glimmerwing sings a haunting melody, its voice echoing through the stillness of the night air. Its song is said to have the power to heal the sick and bring peace to troubled souls. Those who are lucky enough to hear the Glimmerwing's song are forever changed by its beauty and grace."
+CMYK Halftone Output:
-
-
-**Requirement**
-
-a Text-Generation-Webui instance (might work remotely too, but I never tried it) and obviously InvokeAI 3.x
-
-**Note**
-
-This node works best with SDXL models, especially as the style can be described independantly of the LLM's output.
+<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/c59c578f-db8e-4d66-8c66-2851752d75ea" width="300" />
--------------------------------
-### Depth Map from Wavefront OBJ
+### Ideal Size
-**Description:** Render depth maps from Wavefront .obj files (triangulated) using this simple 3D renderer utilizing numpy and matplotlib to compute and color the scene. There are simple parameters to change the FOV, camera position, and model orientation.
+**Description:** This node calculates an ideal image size for a first pass of a multi-pass upscaling. The aim is to avoid duplication that results from choosing a size larger than the model is capable of.
-To be imported, an .obj must use triangulated meshes, so make sure to enable that option if exporting from a 3D modeling program. This renderer makes each triangle a solid color based on its average depth, so it will cause anomalies if your .obj has large triangles. In Blender, the Remesh modifier can be helpful to subdivide a mesh into small pieces that work well given these limitations.
-
-**Node Link:** https://github.com/dwringer/depth-from-obj-node
-
-**Example Usage:**
-
-
---------------------------------
-### Generative Grammar-Based Prompt Nodes
-
-**Description:** This set of 3 nodes generates prompts from simple user-defined grammar rules (loaded from custom files - examples provided below). The prompts are made by recursively expanding a special template string, replacing nonterminal "parts-of-speech" until no more nonterminal terms remain in the string.
-
-This includes 3 Nodes:
-- *Lookup Table from File* - loads a YAML file "prompt" section (or of a whole folder of YAML's) into a JSON-ified dictionary (Lookups output)
-- *Lookups Entry from Prompt* - places a single entry in a new Lookups output under the specified heading
-- *Prompt from Lookup Table* - uses a Collection of Lookups as grammar rules from which to randomly generate prompts.
-
-**Node Link:** https://github.com/dwringer/generative-grammar-prompt-nodes
-
-**Example Usage:**
-
+**Node Link:** https://github.com/JPPhoto/ideal-size-node
--------------------------------
### Image and Mask Composition Pack
@@ -208,45 +146,88 @@ This includes 15 Nodes:
- *Text Mask (simple 2D)* - create and position a white on black (or black on white) line of text using any font locally available to Invoke.
**Node Link:** https://github.com/dwringer/composition-nodes
-
-**Nodes and Output Examples:**
-
+
+</br><img src="https://raw.githubusercontent.com/dwringer/composition-nodes/main/composition_pack_overview.jpg" width="500" />
--------------------------------
-### Size Stepper Nodes
+### Image to Character Art Image Nodes
-**Description:** This is a set of nodes for calculating the necessary size increments for doing upscaling workflows. Use the *Final Size & Orientation* node to enter your full size dimensions and orientation (portrait/landscape/random), then plug that and your initial generation dimensions into the *Ideal Size Stepper* and get 1, 2, or 3 intermediate pairs of dimensions for upscaling. Note this does not output the initial size or full size dimensions: the 1, 2, or 3 outputs of this node are only the intermediate sizes.
+**Description:** Group of nodes to convert an input image into ascii/unicode art Image
-A third node is included, *Random Switch (Integers)*, which is just a generic version of Final Size with no orientation selection.
-
-**Node Link:** https://github.com/dwringer/size-stepper-nodes
-
-**Example Usage:**
-
-
---------------------------------
-
-### Text font to Image
-
-**Description:** text font to text image node for InvokeAI, download a font to use (or if in font cache uses it from there), the text is always resized to the image size, but can control that with padding, optional 2nd line
-
-**Node Link:** https://github.com/mickr777/textfontimage
+**Node Link:** https://github.com/mickr777/imagetoasciiimage
**Output Examples**
-
-
-Results after using the depth controlnet
-
-
-
-
+<img src="https://user-images.githubusercontent.com/115216705/271817646-8e061fcc-9a2c-4fa9-bcc7-c0f7b01e9056.png" width="300" /><img src="https://github.com/mickr777/imagetoasciiimage/assets/115216705/3c4990eb-2f42-46b9-90f9-0088b939dc6a" width="300" /></br>
+<img src="https://github.com/mickr777/imagetoasciiimage/assets/115216705/fee7f800-a4a8-41e2-a66b-c66e4343307e" width="300" />
+<img src="https://github.com/mickr777/imagetoasciiimage/assets/115216705/1d9c1003-a45f-45c2-aac7-46470bb89330" width="300" />
--------------------------------
+### Image Picker
+
+**Description:** This InvokeAI node takes in a collection of images and randomly chooses one. This can be useful when you have a number of poses to choose from for a ControlNet node, or a number of input images for another purpose.
+
+**Node Link:** https://github.com/JPPhoto/image-picker-node
+
+--------------------------------
+### Load Video Frame
+
+**Description:** This is a video frame image provider + indexer/video creation nodes for hooking up to iterators and ranges and ControlNets and such for invokeAI node experimentation. Think animation + ControlNet outputs.
+
+**Node Link:** https://github.com/helix4u/load_video_frame
+
+**Example Node Graph:** https://github.com/helix4u/load_video_frame/blob/main/Example_Workflow.json
+
+**Output Example:**
+
+<img src="https://github.com/helix4u/load_video_frame/blob/main/testmp4_embed_converted.gif" width="500" />
+[Full mp4 of Example Output test.mp4](https://github.com/helix4u/load_video_frame/blob/main/test.mp4)
+
+--------------------------------
+### Make 3D
+
+**Description:** Create compelling 3D stereo images from 2D originals.
+
+**Node Link:** [https://gitlab.com/srcrr/shift3d/-/raw/main/make3d.py](https://gitlab.com/srcrr/shift3d)
+
+**Example Node Graph:** https://gitlab.com/srcrr/shift3d/-/raw/main/example-workflow.json?ref_type=heads&inline=false
+
+**Output Examples**
+
+<img src="https://gitlab.com/srcrr/shift3d/-/raw/main/example-1.png" width="300" />
+<img src="https://gitlab.com/srcrr/shift3d/-/raw/main/example-2.png" width="300" />
+
+--------------------------------
+### Oobabooga
+
+**Description:** asks a local LLM running in Oobabooga's Text-Generation-Webui to write a prompt based on the user input.
+
+**Link:** https://github.com/sammyf/oobabooga-node
+
+**Example:**
+
+"describe a new mystical creature in its natural environment"
+
+*can return*
+
+"The mystical creature I am describing to you is called the "Glimmerwing". It is a majestic, iridescent being that inhabits the depths of the most enchanted forests and glimmering lakes. Its body is covered in shimmering scales that reflect every color of the rainbow, and it has delicate, translucent wings that sparkle like diamonds in the sunlight. The Glimmerwing's home is a crystal-clear lake, surrounded by towering trees with leaves that shimmer like jewels. In this serene environment, the Glimmerwing spends its days swimming gracefully through the water, chasing schools of glittering fish and playing with the gentle ripples of the lake's surface.
+As the sun sets, the Glimmerwing perches on a branch of one of the trees, spreading its wings to catch the last rays of light. The creature's scales glow softly, casting a rainbow of colors across the forest floor. The Glimmerwing sings a haunting melody, its voice echoing through the stillness of the night air. Its song is said to have the power to heal the sick and bring peace to troubled souls. Those who are lucky enough to hear the Glimmerwing's song are forever changed by its beauty and grace."
+
+<img src="https://github.com/sammyf/oobabooga-node/assets/42468608/cecdd820-93dd-4c35-abbf-607e001fb2ed" width="300" />
+
+**Requirement**
+
+a Text-Generation-Webui instance (might work remotely too, but I never tried it) and obviously InvokeAI 3.x
+
+**Note**
+
+This node works best with SDXL models, especially as the style can be described independently of the LLM's output.
+
+--------------------------------
### Prompt Tools
-**Description:** A set of InvokeAI nodes that add general prompt manipulation tools. These where written to accompany the PromptsFromFile node and other prompt generation nodes.
+**Description:** A set of InvokeAI nodes that add general prompt manipulation tools. These were written to accompany the PromptsFromFile node and other prompt generation nodes.
1. PromptJoin - Joins to prompts into one.
2. PromptReplace - performs a search and replace on a prompt. With the option of using regex.
@@ -263,51 +244,83 @@ See full docs here: https://github.com/skunkworxdark/Prompt-tools-nodes/edit/mai
**Node Link:** https://github.com/skunkworxdark/Prompt-tools-nodes
--------------------------------
+### Retroize
+**Description:** Retroize is a collection of nodes for InvokeAI to "Retroize" images. Any image can be given a fresh coat of retro paint with these nodes, either from your gallery or from within the graph itself. It includes nodes to pixelize, quantize, palettize, and ditherize images; as well as to retrieve palettes from existing images.
+
+**Node Link:** https://github.com/Ar7ific1al/invokeai-retroizeinode/
+
+**Retroize Output Examples**
+
+<img src="https://github.com/Ar7ific1al/InvokeAI_nodes_retroize/assets/2306586/de8b4fa6-324c-4c2d-b36c-297600c73974" width="500" />
+
+--------------------------------
+### Size Stepper Nodes
+
+**Description:** This is a set of nodes for calculating the necessary size increments for doing upscaling workflows. Use the *Final Size & Orientation* node to enter your full size dimensions and orientation (portrait/landscape/random), then plug that and your initial generation dimensions into the *Ideal Size Stepper* and get 1, 2, or 3 intermediate pairs of dimensions for upscaling. Note this does not output the initial size or full size dimensions: the 1, 2, or 3 outputs of this node are only the intermediate sizes.
+
+A third node is included, *Random Switch (Integers)*, which is just a generic version of Final Size with no orientation selection.
+
+**Node Link:** https://github.com/dwringer/size-stepper-nodes
+
+**Example Usage:**
+</br><img src="https://raw.githubusercontent.com/dwringer/size-stepper-nodes/main/size_nodes_usage.jpg" width="500" />
+
+--------------------------------
+### Text font to Image
+
+**Description:** text font to text image node for InvokeAI, download a font to use (or if in font cache uses it from there), the text is always resized to the image size, but can control that with padding, optional 2nd line
+
+**Node Link:** https://github.com/mickr777/textfontimage
+
+**Output Examples**
+
+<img src="https://github.com/mickr777/InvokeAI/assets/115216705/c21b0af3-d9c6-4c16-9152-846a23effd36" width="300" />
+
+Results after using the depth controlnet
+
+<img src="https://github.com/mickr777/InvokeAI/assets/115216705/915f1a53-968e-43eb-aa61-07cd8f1a733a" width="300" />
+<img src="https://github.com/mickr777/InvokeAI/assets/115216705/821ef89e-8a60-44f5-b94e-471a9d8690cc" width="300" />
+<img src="https://github.com/mickr777/InvokeAI/assets/115216705/2befcb6d-49f4-4bfd-b5fc-1fee19274f89" width="300" />
+
+--------------------------------
+### Thresholding
+
+**Description:** This node generates masks for highlights, midtones, and shadows given an input image. You can optionally specify a blur for the lookup table used in making those masks from the source image.
+
+**Node Link:** https://github.com/JPPhoto/thresholding-node
+
+**Examples**
+
+Input:
+
+<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/c88ada13-fb3d-484c-a4fe-947b44712632" width="300" />
+
+Highlights/Midtones/Shadows:
+
+<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/727021c1-36ff-4ec8-90c8-105e00de986d" width="300" />
+<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/0b721bfc-f051-404e-b905-2f16b824ddfe" width="300" />
+<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/04c1297f-1c88-42b6-a7df-dd090b976286" width="300" />
+
+Highlights/Midtones/Shadows (with LUT blur enabled):
+
+<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/19aa718a-70c1-4668-8169-d68f4bd13771" width="300" />
+<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/0a440e43-697f-4d17-82ee-f287467df0a5" width="300" />
+<img src="https://github.com/invoke-ai/InvokeAI/assets/34005131/0701fd0f-2ca7-4fe2-8613-2b52547bafce" width="300" />
+
+--------------------------------
### XY Image to Grid and Images to Grids nodes
**Description:** Image to grid nodes and supporting tools.
-1. "Images To Grids" node - Takes a collection of images and creates a grid(s) of images. If there are more images than the size of a single grid then mutilple grids will be created until it runs out of images.
-2. "XYImage To Grid" node - Converts a collection of XYImages into a labeled Grid of images. The XYImages collection has to be built using the supporoting nodes. See example node setups for more details.
-
+1. "Images To Grids" node - Takes a collection of images and creates a grid(s) of images. If there are more images than the size of a single grid then multiple grids will be created until it runs out of images.
+2. "XYImage To Grid" node - Converts a collection of XYImages into a labeled Grid of images. The XYImages collection has to be built using the supporting nodes. See example node setups for more details.
See full docs here: https://github.com/skunkworxdark/XYGrid_nodes/edit/main/README.md
**Node Link:** https://github.com/skunkworxdark/XYGrid_nodes
--------------------------------
-
-### Image to Character Art Image Node's
-
-**Description:** Group of nodes to convert an input image into ascii/unicode art Image
-
-**Node Link:** https://github.com/mickr777/imagetoasciiimage
-
-**Output Examples**
-
-<img src="https://github.com/invoke-ai/InvokeAI/assets/115216705/8e061fcc-9a2c-4fa9-bcc7-c0f7b01e9056" width="300" />
-<img src="https://github.com/mickr777/imagetoasciiimage/assets/115216705/3c4990eb-2f42-46b9-90f9-0088b939dc6a" width="300" /></br>
-<img src="https://github.com/mickr777/imagetoasciiimage/assets/115216705/fee7f800-a4a8-41e2-a66b-c66e4343307e" width="300" />
-<img src="https://github.com/mickr777/imagetoasciiimage/assets/115216705/1d9c1003-a45f-45c2-aac7-46470bb89330" width="300" />
-
---------------------------------
-
-### Grid to Gif
-
-**Description:** One node that turns a grid image into an image colletion, one node that turns an image collection into a gif
-
-**Node Link:** https://github.com/mildmisery/invokeai-GridToGifNode/blob/main/GridToGif.py
-
-**Example Node Graph:** https://github.com/mildmisery/invokeai-GridToGifNode/blob/main/Grid%20to%20Gif%20Example%20Workflow.json
-
-**Output Examples**
-
-<img src="https://raw.githubusercontent.com/mildmisery/invokeai-GridToGifNode/main/input.png" width="300" />
-<img src="https://raw.githubusercontent.com/mildmisery/invokeai-GridToGifNode/main/output.gif" width="300" />
-
---------------------------------
-
### Example Node Template
**Description:** This node allows you to do super cool things with InvokeAI.
@@ -318,7 +331,7 @@ See full docs here: https://github.com/skunkworxdark/XYGrid_nodes/edit/main/READ
**Output Examples**
-{: style="height:115px;width:240px"}
+</br><img src="https://invoke-ai.github.io/InvokeAI/assets/invoke_ai_banner.png" width="500" />
## Disclaimer
diff --git a/invokeai/app/api/dependencies.py b/invokeai/app/api/dependencies.py
index 9db35fb5c3..c9a2f0a843 100644
--- a/invokeai/app/api/dependencies.py
+++ b/invokeai/app/api/dependencies.py
@@ -1,35 +1,35 @@
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
-import sqlite3
from logging import Logger
-from invokeai.app.services.board_image_record_storage import SqliteBoardImageRecordStorage
-from invokeai.app.services.board_images import BoardImagesService, BoardImagesServiceDependencies
-from invokeai.app.services.board_record_storage import SqliteBoardRecordStorage
-from invokeai.app.services.boards import BoardService, BoardServiceDependencies
-from invokeai.app.services.config import InvokeAIAppConfig
-from invokeai.app.services.image_record_storage import SqliteImageRecordStorage
-from invokeai.app.services.images import ImageService, ImageServiceDependencies
-from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
-from invokeai.app.services.resource_name import SimpleNameService
-from invokeai.app.services.session_processor.session_processor_default import DefaultSessionProcessor
-from invokeai.app.services.session_queue.session_queue_sqlite import SqliteSessionQueue
-from invokeai.app.services.urls import LocalUrlService
from invokeai.backend.util.logging import InvokeAILogger
from invokeai.version.invokeai_version import __version__
-from ..services.default_graphs import create_system_graphs
-from ..services.graph import GraphExecutionState, LibraryGraph
-from ..services.image_file_storage import DiskImageFileStorage
-from ..services.invocation_queue import MemoryInvocationQueue
+from ..services.board_image_records.board_image_records_sqlite import SqliteBoardImageRecordStorage
+from ..services.board_images.board_images_default import BoardImagesService
+from ..services.board_records.board_records_sqlite import SqliteBoardRecordStorage
+from ..services.boards.boards_default import BoardService
+from ..services.config import InvokeAIAppConfig
+from ..services.image_files.image_files_disk import DiskImageFileStorage
+from ..services.image_records.image_records_sqlite import SqliteImageRecordStorage
+from ..services.images.images_default import ImageService
+from ..services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
+from ..services.invocation_processor.invocation_processor_default import DefaultInvocationProcessor
+from ..services.invocation_queue.invocation_queue_memory import MemoryInvocationQueue
from ..services.invocation_services import InvocationServices
-from ..services.invocation_stats import InvocationStatsService
+from ..services.invocation_stats.invocation_stats_default import InvocationStatsService
from ..services.invoker import Invoker
-from ..services.latent_storage import DiskLatentsStorage, ForwardCacheLatentsStorage
-from ..services.model_manager_service import ModelManagerService
-from ..services.processor import DefaultInvocationProcessor
-from ..services.sqlite import SqliteItemStorage
-from ..services.thread import lock
+from ..services.item_storage.item_storage_sqlite import SqliteItemStorage
+from ..services.latents_storage.latents_storage_disk import DiskLatentsStorage
+from ..services.latents_storage.latents_storage_forward_cache import ForwardCacheLatentsStorage
+from ..services.model_manager.model_manager_default import ModelManagerService
+from ..services.names.names_default import SimpleNameService
+from ..services.session_processor.session_processor_default import DefaultSessionProcessor
+from ..services.session_queue.session_queue_sqlite import SqliteSessionQueue
+from ..services.shared.default_graphs import create_system_graphs
+from ..services.shared.graph import GraphExecutionState, LibraryGraph
+from ..services.shared.sqlite import SqliteDatabase
+from ..services.urls.urls_default import LocalUrlService
from .events import FastAPIEventService
@@ -63,100 +63,64 @@ class ApiDependencies:
logger.info(f"Root directory = {str(config.root_path)}")
logger.debug(f"Internet connectivity is {config.internet_available}")
- events = FastAPIEventService(event_handler_id)
-
output_folder = config.output_path
- # TODO: build a file/path manager?
- if config.use_memory_db:
- db_location = ":memory:"
- else:
- db_path = config.db_path
- db_path.parent.mkdir(parents=True, exist_ok=True)
- db_location = str(db_path)
+ db = SqliteDatabase(config, logger)
- logger.info(f"Using database at {db_location}")
- db_conn = sqlite3.connect(db_location, check_same_thread=False) # TODO: figure out a better threading solution
+ configuration = config
+ logger = logger
- if config.log_sql:
- db_conn.set_trace_callback(print)
- db_conn.execute("PRAGMA foreign_keys = ON;")
-
- graph_execution_manager = SqliteItemStorage[GraphExecutionState](
- conn=db_conn, table_name="graph_executions", lock=lock
- )
-
- urls = LocalUrlService()
- image_record_storage = SqliteImageRecordStorage(conn=db_conn, lock=lock)
- image_file_storage = DiskImageFileStorage(f"{output_folder}/images")
- names = SimpleNameService()
+ board_image_records = SqliteBoardImageRecordStorage(db=db)
+ board_images = BoardImagesService()
+ board_records = SqliteBoardRecordStorage(db=db)
+ boards = BoardService()
+ events = FastAPIEventService(event_handler_id)
+ graph_execution_manager = SqliteItemStorage[GraphExecutionState](db=db, table_name="graph_executions")
+ graph_library = SqliteItemStorage[LibraryGraph](db=db, table_name="graphs")
+ image_files = DiskImageFileStorage(f"{output_folder}/images")
+ image_records = SqliteImageRecordStorage(db=db)
+ images = ImageService()
+ invocation_cache = MemoryInvocationCache(max_cache_size=config.node_cache_size)
latents = ForwardCacheLatentsStorage(DiskLatentsStorage(f"{output_folder}/latents"))
-
- board_record_storage = SqliteBoardRecordStorage(conn=db_conn, lock=lock)
- board_image_record_storage = SqliteBoardImageRecordStorage(conn=db_conn, lock=lock)
-
- boards = BoardService(
- services=BoardServiceDependencies(
- board_image_record_storage=board_image_record_storage,
- board_record_storage=board_record_storage,
- image_record_storage=image_record_storage,
- url=urls,
- logger=logger,
- )
- )
-
- board_images = BoardImagesService(
- services=BoardImagesServiceDependencies(
- board_image_record_storage=board_image_record_storage,
- board_record_storage=board_record_storage,
- image_record_storage=image_record_storage,
- url=urls,
- logger=logger,
- )
- )
-
- images = ImageService(
- services=ImageServiceDependencies(
- board_image_record_storage=board_image_record_storage,
- image_record_storage=image_record_storage,
- image_file_storage=image_file_storage,
- url=urls,
- logger=logger,
- names=names,
- graph_execution_manager=graph_execution_manager,
- )
- )
+ model_manager = ModelManagerService(config, logger)
+ names = SimpleNameService()
+ performance_statistics = InvocationStatsService()
+ processor = DefaultInvocationProcessor()
+ queue = MemoryInvocationQueue()
+ session_processor = DefaultSessionProcessor()
+ session_queue = SqliteSessionQueue(db=db)
+ urls = LocalUrlService()
services = InvocationServices(
- model_manager=ModelManagerService(config, logger),
- events=events,
- latents=latents,
- images=images,
- boards=boards,
+ board_image_records=board_image_records,
board_images=board_images,
- queue=MemoryInvocationQueue(),
- graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, lock=lock, table_name="graphs"),
+ board_records=board_records,
+ boards=boards,
+ configuration=configuration,
+ events=events,
graph_execution_manager=graph_execution_manager,
- processor=DefaultInvocationProcessor(),
- configuration=config,
- performance_statistics=InvocationStatsService(graph_execution_manager),
+ graph_library=graph_library,
+ image_files=image_files,
+ image_records=image_records,
+ images=images,
+ invocation_cache=invocation_cache,
+ latents=latents,
logger=logger,
- session_queue=SqliteSessionQueue(conn=db_conn, lock=lock),
- session_processor=DefaultSessionProcessor(),
- invocation_cache=MemoryInvocationCache(max_cache_size=config.node_cache_size),
+ model_manager=model_manager,
+ names=names,
+ performance_statistics=performance_statistics,
+ processor=processor,
+ queue=queue,
+ session_processor=session_processor,
+ session_queue=session_queue,
+ urls=urls,
)
create_system_graphs(services.graph_library)
ApiDependencies.invoker = Invoker(services)
- try:
- lock.acquire()
- db_conn.execute("VACUUM;")
- db_conn.commit()
- logger.info("Cleaned database")
- finally:
- lock.release()
+ db.clean()
@staticmethod
def shutdown():
diff --git a/invokeai/app/api/events.py b/invokeai/app/api/events.py
index 41414a9230..40dfdb2c71 100644
--- a/invokeai/app/api/events.py
+++ b/invokeai/app/api/events.py
@@ -7,7 +7,7 @@ from typing import Any
from fastapi_events.dispatcher import dispatch
-from ..services.events import EventServiceBase
+from ..services.events.events_base import EventServiceBase
class FastAPIEventService(EventServiceBase):
diff --git a/invokeai/app/api/routers/boards.py b/invokeai/app/api/routers/boards.py
index 630135f236..69f965da64 100644
--- a/invokeai/app/api/routers/boards.py
+++ b/invokeai/app/api/routers/boards.py
@@ -4,9 +4,9 @@ from fastapi import Body, HTTPException, Path, Query
from fastapi.routing import APIRouter
from pydantic import BaseModel, Field
-from invokeai.app.services.board_record_storage import BoardChanges
-from invokeai.app.services.image_record_storage import OffsetPaginatedResults
-from invokeai.app.services.models.board_record import BoardDTO
+from invokeai.app.services.board_records.board_records_common import BoardChanges
+from invokeai.app.services.boards.boards_common import BoardDTO
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
from ..dependencies import ApiDependencies
diff --git a/invokeai/app/api/routers/images.py b/invokeai/app/api/routers/images.py
index 7e798a3658..43a72943ee 100644
--- a/invokeai/app/api/routers/images.py
+++ b/invokeai/app/api/routers/images.py
@@ -8,9 +8,9 @@ from PIL import Image
from pydantic import BaseModel, Field
from invokeai.app.invocations.metadata import ImageMetadata
-from invokeai.app.models.image import ImageCategory, ResourceOrigin
-from invokeai.app.services.image_record_storage import OffsetPaginatedResults
-from invokeai.app.services.models.image_record import ImageDTO, ImageRecordChanges, ImageUrlsDTO
+from invokeai.app.services.image_records.image_records_common import ImageCategory, ImageRecordChanges, ResourceOrigin
+from invokeai.app.services.images.images_common import ImageDTO, ImageUrlsDTO
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
from ..dependencies import ApiDependencies
@@ -42,7 +42,7 @@ async def upload_image(
crop_visible: Optional[bool] = Query(default=False, description="Whether to crop the image"),
) -> ImageDTO:
"""Uploads an image"""
- if not file.content_type.startswith("image"):
+ if not file.content_type or not file.content_type.startswith("image"):
raise HTTPException(status_code=415, detail="Not an image")
contents = await file.read()
@@ -322,3 +322,20 @@ async def unstar_images_in_list(
return ImagesUpdatedFromListResult(updated_image_names=updated_image_names)
except Exception:
raise HTTPException(status_code=500, detail="Failed to unstar images")
+
+
+class ImagesDownloaded(BaseModel):
+ response: Optional[str] = Field(
+ description="If defined, the message to display to the user when images begin downloading"
+ )
+
+
+@images_router.post("/download", operation_id="download_images_from_list", response_model=ImagesDownloaded)
+async def download_images_from_list(
+ image_names: list[str] = Body(description="The list of names of images to download", embed=True),
+ board_id: Optional[str] = Body(
+ default=None, description="The board from which image should be downloaded from", embed=True
+ ),
+) -> ImagesDownloaded:
+ # return ImagesDownloaded(response="Your images are downloading")
+ raise HTTPException(status_code=501, detail="Endpoint is not yet implemented")
diff --git a/invokeai/app/api/routers/models.py b/invokeai/app/api/routers/models.py
index ebc40f5ce5..018f3af02b 100644
--- a/invokeai/app/api/routers/models.py
+++ b/invokeai/app/api/routers/models.py
@@ -2,11 +2,11 @@
import pathlib
-from typing import List, Literal, Optional, Union
+from typing import Annotated, List, Literal, Optional, Union
from fastapi import Body, Path, Query, Response
from fastapi.routing import APIRouter
-from pydantic import BaseModel, parse_obj_as
+from pydantic import BaseModel, ConfigDict, Field, TypeAdapter
from starlette.exceptions import HTTPException
from invokeai.backend import BaseModelType, ModelType
@@ -23,8 +23,14 @@ from ..dependencies import ApiDependencies
models_router = APIRouter(prefix="/v1/models", tags=["models"])
UpdateModelResponse = Union[tuple(OPENAPI_MODEL_CONFIGS)]
+update_models_response_adapter = TypeAdapter(UpdateModelResponse)
+
ImportModelResponse = Union[tuple(OPENAPI_MODEL_CONFIGS)]
+import_models_response_adapter = TypeAdapter(ImportModelResponse)
+
ConvertModelResponse = Union[tuple(OPENAPI_MODEL_CONFIGS)]
+convert_models_response_adapter = TypeAdapter(ConvertModelResponse)
+
MergeModelResponse = Union[tuple(OPENAPI_MODEL_CONFIGS)]
ImportModelAttributes = Union[tuple(OPENAPI_MODEL_CONFIGS)]
@@ -32,6 +38,11 @@ ImportModelAttributes = Union[tuple(OPENAPI_MODEL_CONFIGS)]
class ModelsList(BaseModel):
models: list[Union[tuple(OPENAPI_MODEL_CONFIGS)]]
+ model_config = ConfigDict(use_enum_values=True)
+
+
+models_list_adapter = TypeAdapter(ModelsList)
+
@models_router.get(
"/",
@@ -49,7 +60,7 @@ async def list_models(
models_raw.extend(ApiDependencies.invoker.services.model_manager.list_models(base_model, model_type))
else:
models_raw = ApiDependencies.invoker.services.model_manager.list_models(None, model_type)
- models = parse_obj_as(ModelsList, {"models": models_raw})
+ models = models_list_adapter.validate_python({"models": models_raw})
return models
@@ -105,11 +116,14 @@ async def update_model(
info.path = new_info.get("path")
# replace empty string values with None/null to avoid phenomenon of vae: ''
- info_dict = info.dict()
+ info_dict = info.model_dump()
info_dict = {x: info_dict[x] if info_dict[x] else None for x in info_dict.keys()}
ApiDependencies.invoker.services.model_manager.update_model(
- model_name=model_name, base_model=base_model, model_type=model_type, model_attributes=info_dict
+ model_name=model_name,
+ base_model=base_model,
+ model_type=model_type,
+ model_attributes=info_dict,
)
model_raw = ApiDependencies.invoker.services.model_manager.list_model(
@@ -117,7 +131,7 @@ async def update_model(
base_model=base_model,
model_type=model_type,
)
- model_response = parse_obj_as(UpdateModelResponse, model_raw)
+ model_response = update_models_response_adapter.validate_python(model_raw)
except ModelNotFoundException as e:
raise HTTPException(status_code=404, detail=str(e))
except ValueError as e:
@@ -152,13 +166,15 @@ async def import_model(
) -> ImportModelResponse:
"""Add a model using its local path, repo_id, or remote URL. Model characteristics will be probed and configured automatically"""
+ location = location.strip("\"' ")
items_to_import = {location}
prediction_types = {x.value: x for x in SchedulerPredictionType}
logger = ApiDependencies.invoker.services.logger
try:
installed_models = ApiDependencies.invoker.services.model_manager.heuristic_import(
- items_to_import=items_to_import, prediction_type_helper=lambda x: prediction_types.get(prediction_type)
+ items_to_import=items_to_import,
+ prediction_type_helper=lambda x: prediction_types.get(prediction_type),
)
info = installed_models.get(location)
@@ -170,7 +186,7 @@ async def import_model(
model_raw = ApiDependencies.invoker.services.model_manager.list_model(
model_name=info.name, base_model=info.base_model, model_type=info.model_type
)
- return parse_obj_as(ImportModelResponse, model_raw)
+ return import_models_response_adapter.validate_python(model_raw)
except ModelNotFoundException as e:
logger.error(str(e))
@@ -204,13 +220,18 @@ async def add_model(
try:
ApiDependencies.invoker.services.model_manager.add_model(
- info.model_name, info.base_model, info.model_type, model_attributes=info.dict()
+ info.model_name,
+ info.base_model,
+ info.model_type,
+ model_attributes=info.model_dump(),
)
logger.info(f"Successfully added {info.model_name}")
model_raw = ApiDependencies.invoker.services.model_manager.list_model(
- model_name=info.model_name, base_model=info.base_model, model_type=info.model_type
+ model_name=info.model_name,
+ base_model=info.base_model,
+ model_type=info.model_type,
)
- return parse_obj_as(ImportModelResponse, model_raw)
+ return import_models_response_adapter.validate_python(model_raw)
except ModelNotFoundException as e:
logger.error(str(e))
raise HTTPException(status_code=404, detail=str(e))
@@ -222,7 +243,10 @@ async def add_model(
@models_router.delete(
"/{base_model}/{model_type}/{model_name}",
operation_id="del_model",
- responses={204: {"description": "Model deleted successfully"}, 404: {"description": "Model not found"}},
+ responses={
+ 204: {"description": "Model deleted successfully"},
+ 404: {"description": "Model not found"},
+ },
status_code=204,
response_model=None,
)
@@ -278,7 +302,7 @@ async def convert_model(
model_raw = ApiDependencies.invoker.services.model_manager.list_model(
model_name, base_model=base_model, model_type=model_type
)
- response = parse_obj_as(ConvertModelResponse, model_raw)
+ response = convert_models_response_adapter.validate_python(model_raw)
except ModelNotFoundException as e:
raise HTTPException(status_code=404, detail=f"Model '{model_name}' not found: {str(e)}")
except ValueError as e:
@@ -301,7 +325,8 @@ async def search_for_models(
) -> List[pathlib.Path]:
if not search_path.is_dir():
raise HTTPException(
- status_code=404, detail=f"The search path '{search_path}' does not exist or is not directory"
+ status_code=404,
+ detail=f"The search path '{search_path}' does not exist or is not directory",
)
return ApiDependencies.invoker.services.model_manager.search_for_models(search_path)
@@ -336,6 +361,26 @@ async def sync_to_config() -> bool:
return True
+# There's some weird pydantic-fastapi behaviour that requires this to be a separate class
+# TODO: After a few updates, see if it works inside the route operation handler?
+class MergeModelsBody(BaseModel):
+ model_names: List[str] = Field(description="model name", min_length=2, max_length=3)
+ merged_model_name: Optional[str] = Field(description="Name of destination model")
+ alpha: Optional[float] = Field(description="Alpha weighting strength to apply to 2d and 3d models", default=0.5)
+ interp: Optional[MergeInterpolationMethod] = Field(description="Interpolation method")
+ force: Optional[bool] = Field(
+ description="Force merging of models created with different versions of diffusers",
+ default=False,
+ )
+
+ merge_dest_directory: Optional[str] = Field(
+ description="Save the merged model to the designated directory (with 'merged_model_name' appended)",
+ default=None,
+ )
+
+ model_config = ConfigDict(protected_namespaces=())
+
+
@models_router.put(
"/merge/{base_model}",
operation_id="merge_models",
@@ -348,31 +393,23 @@ async def sync_to_config() -> bool:
response_model=MergeModelResponse,
)
async def merge_models(
+ body: Annotated[MergeModelsBody, Body(description="Model configuration", embed=True)],
base_model: BaseModelType = Path(description="Base model"),
- model_names: List[str] = Body(description="model name", min_items=2, max_items=3),
- merged_model_name: Optional[str] = Body(description="Name of destination model"),
- alpha: Optional[float] = Body(description="Alpha weighting strength to apply to 2d and 3d models", default=0.5),
- interp: Optional[MergeInterpolationMethod] = Body(description="Interpolation method"),
- force: Optional[bool] = Body(
- description="Force merging of models created with different versions of diffusers", default=False
- ),
- merge_dest_directory: Optional[str] = Body(
- description="Save the merged model to the designated directory (with 'merged_model_name' appended)",
- default=None,
- ),
) -> MergeModelResponse:
"""Convert a checkpoint model into a diffusers model"""
logger = ApiDependencies.invoker.services.logger
try:
- logger.info(f"Merging models: {model_names} into {merge_dest_directory or '<MODELS>'}/{merged_model_name}")
- dest = pathlib.Path(merge_dest_directory) if merge_dest_directory else None
+ logger.info(
+ f"Merging models: {body.model_names} into {body.merge_dest_directory or '<MODELS>'}/{body.merged_model_name}"
+ )
+ dest = pathlib.Path(body.merge_dest_directory) if body.merge_dest_directory else None
result = ApiDependencies.invoker.services.model_manager.merge_models(
- model_names,
- base_model,
- merged_model_name=merged_model_name or "+".join(model_names),
- alpha=alpha,
- interp=interp,
- force=force,
+ model_names=body.model_names,
+ base_model=base_model,
+ merged_model_name=body.merged_model_name or "+".join(body.model_names),
+ alpha=body.alpha,
+ interp=body.interp,
+ force=body.force,
merge_dest_directory=dest,
)
model_raw = ApiDependencies.invoker.services.model_manager.list_model(
@@ -380,9 +417,12 @@ async def merge_models(
base_model=base_model,
model_type=ModelType.Main,
)
- response = parse_obj_as(ConvertModelResponse, model_raw)
+ response = convert_models_response_adapter.validate_python(model_raw)
except ModelNotFoundException:
- raise HTTPException(status_code=404, detail=f"One or more of the models '{model_names}' not found")
+ raise HTTPException(
+ status_code=404,
+ detail=f"One or more of the models '{body.model_names}' not found",
+ )
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
return response
diff --git a/invokeai/app/api/routers/session_queue.py b/invokeai/app/api/routers/session_queue.py
index fb2c98c9f1..7ecb0504a3 100644
--- a/invokeai/app/api/routers/session_queue.py
+++ b/invokeai/app/api/routers/session_queue.py
@@ -18,9 +18,9 @@ from invokeai.app.services.session_queue.session_queue_common import (
SessionQueueItemDTO,
SessionQueueStatus,
)
-from invokeai.app.services.shared.models import CursorPaginatedResults
+from invokeai.app.services.shared.graph import Graph
+from invokeai.app.services.shared.pagination import CursorPaginatedResults
-from ...services.graph import Graph
from ..dependencies import ApiDependencies
session_queue_router = APIRouter(prefix="/v1/queue", tags=["queue"])
diff --git a/invokeai/app/api/routers/sessions.py b/invokeai/app/api/routers/sessions.py
index ac6313edce..fb850d0b2b 100644
--- a/invokeai/app/api/routers/sessions.py
+++ b/invokeai/app/api/routers/sessions.py
@@ -1,56 +1,50 @@
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
-from typing import Annotated, Optional, Union
-from fastapi import Body, HTTPException, Path, Query, Response
+from fastapi import HTTPException, Path
from fastapi.routing import APIRouter
-from pydantic.fields import Field
-# Importing * is bad karma but needed here for node detection
-from ...invocations import * # noqa: F401 F403
-from ...invocations.baseinvocation import BaseInvocation
-from ...services.graph import Edge, EdgeConnection, Graph, GraphExecutionState, NodeAlreadyExecutedError
-from ...services.item_storage import PaginatedResults
+from ...services.shared.graph import GraphExecutionState
from ..dependencies import ApiDependencies
session_router = APIRouter(prefix="/v1/sessions", tags=["sessions"])
-@session_router.post(
- "/",
- operation_id="create_session",
- responses={
- 200: {"model": GraphExecutionState},
- 400: {"description": "Invalid json"},
- },
- deprecated=True,
-)
-async def create_session(
- queue_id: str = Query(default="", description="The id of the queue to associate the session with"),
- graph: Optional[Graph] = Body(default=None, description="The graph to initialize the session with"),
-) -> GraphExecutionState:
- """Creates a new session, optionally initializing it with an invocation graph"""
- session = ApiDependencies.invoker.create_execution_state(queue_id=queue_id, graph=graph)
- return session
+# @session_router.post(
+# "/",
+# operation_id="create_session",
+# responses={
+# 200: {"model": GraphExecutionState},
+# 400: {"description": "Invalid json"},
+# },
+# deprecated=True,
+# )
+# async def create_session(
+# queue_id: str = Query(default="", description="The id of the queue to associate the session with"),
+# graph: Optional[Graph] = Body(default=None, description="The graph to initialize the session with"),
+# ) -> GraphExecutionState:
+# """Creates a new session, optionally initializing it with an invocation graph"""
+# session = ApiDependencies.invoker.create_execution_state(queue_id=queue_id, graph=graph)
+# return session
-@session_router.get(
- "/",
- operation_id="list_sessions",
- responses={200: {"model": PaginatedResults[GraphExecutionState]}},
- deprecated=True,
-)
-async def list_sessions(
- page: int = Query(default=0, description="The page of results to get"),
- per_page: int = Query(default=10, description="The number of results per page"),
- query: str = Query(default="", description="The query string to search for"),
-) -> PaginatedResults[GraphExecutionState]:
- """Gets a list of sessions, optionally searching"""
- if query == "":
- result = ApiDependencies.invoker.services.graph_execution_manager.list(page, per_page)
- else:
- result = ApiDependencies.invoker.services.graph_execution_manager.search(query, page, per_page)
- return result
+# @session_router.get(
+# "/",
+# operation_id="list_sessions",
+# responses={200: {"model": PaginatedResults[GraphExecutionState]}},
+# deprecated=True,
+# )
+# async def list_sessions(
+# page: int = Query(default=0, description="The page of results to get"),
+# per_page: int = Query(default=10, description="The number of results per page"),
+# query: str = Query(default="", description="The query string to search for"),
+# ) -> PaginatedResults[GraphExecutionState]:
+# """Gets a list of sessions, optionally searching"""
+# if query == "":
+# result = ApiDependencies.invoker.services.graph_execution_manager.list(page, per_page)
+# else:
+# result = ApiDependencies.invoker.services.graph_execution_manager.search(query, page, per_page)
+# return result
@session_router.get(
@@ -60,7 +54,6 @@ async def list_sessions(
200: {"model": GraphExecutionState},
404: {"description": "Session not found"},
},
- deprecated=True,
)
async def get_session(
session_id: str = Path(description="The id of the session to get"),
@@ -73,211 +66,211 @@ async def get_session(
return session
-@session_router.post(
- "/{session_id}/nodes",
- operation_id="add_node",
- responses={
- 200: {"model": str},
- 400: {"description": "Invalid node or link"},
- 404: {"description": "Session not found"},
- },
- deprecated=True,
-)
-async def add_node(
- session_id: str = Path(description="The id of the session"),
- node: Annotated[Union[BaseInvocation.get_invocations()], Field(discriminator="type")] = Body( # type: ignore
- description="The node to add"
- ),
-) -> str:
- """Adds a node to the graph"""
- session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
- if session is None:
- raise HTTPException(status_code=404)
+# @session_router.post(
+# "/{session_id}/nodes",
+# operation_id="add_node",
+# responses={
+# 200: {"model": str},
+# 400: {"description": "Invalid node or link"},
+# 404: {"description": "Session not found"},
+# },
+# deprecated=True,
+# )
+# async def add_node(
+# session_id: str = Path(description="The id of the session"),
+# node: Annotated[Union[BaseInvocation.get_invocations()], Field(discriminator="type")] = Body( # type: ignore
+# description="The node to add"
+# ),
+# ) -> str:
+# """Adds a node to the graph"""
+# session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
+# if session is None:
+# raise HTTPException(status_code=404)
- try:
- session.add_node(node)
- ApiDependencies.invoker.services.graph_execution_manager.set(
- session
- ) # TODO: can this be done automatically, or add node through an API?
- return session.id
- except NodeAlreadyExecutedError:
- raise HTTPException(status_code=400)
- except IndexError:
- raise HTTPException(status_code=400)
+# try:
+# session.add_node(node)
+# ApiDependencies.invoker.services.graph_execution_manager.set(
+# session
+# ) # TODO: can this be done automatically, or add node through an API?
+# return session.id
+# except NodeAlreadyExecutedError:
+# raise HTTPException(status_code=400)
+# except IndexError:
+# raise HTTPException(status_code=400)
-@session_router.put(
- "/{session_id}/nodes/{node_path}",
- operation_id="update_node",
- responses={
- 200: {"model": GraphExecutionState},
- 400: {"description": "Invalid node or link"},
- 404: {"description": "Session not found"},
- },
- deprecated=True,
-)
-async def update_node(
- session_id: str = Path(description="The id of the session"),
- node_path: str = Path(description="The path to the node in the graph"),
- node: Annotated[Union[BaseInvocation.get_invocations()], Field(discriminator="type")] = Body( # type: ignore
- description="The new node"
- ),
-) -> GraphExecutionState:
- """Updates a node in the graph and removes all linked edges"""
- session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
- if session is None:
- raise HTTPException(status_code=404)
+# @session_router.put(
+# "/{session_id}/nodes/{node_path}",
+# operation_id="update_node",
+# responses={
+# 200: {"model": GraphExecutionState},
+# 400: {"description": "Invalid node or link"},
+# 404: {"description": "Session not found"},
+# },
+# deprecated=True,
+# )
+# async def update_node(
+# session_id: str = Path(description="The id of the session"),
+# node_path: str = Path(description="The path to the node in the graph"),
+# node: Annotated[Union[BaseInvocation.get_invocations()], Field(discriminator="type")] = Body( # type: ignore
+# description="The new node"
+# ),
+# ) -> GraphExecutionState:
+# """Updates a node in the graph and removes all linked edges"""
+# session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
+# if session is None:
+# raise HTTPException(status_code=404)
- try:
- session.update_node(node_path, node)
- ApiDependencies.invoker.services.graph_execution_manager.set(
- session
- ) # TODO: can this be done automatically, or add node through an API?
- return session
- except NodeAlreadyExecutedError:
- raise HTTPException(status_code=400)
- except IndexError:
- raise HTTPException(status_code=400)
+# try:
+# session.update_node(node_path, node)
+# ApiDependencies.invoker.services.graph_execution_manager.set(
+# session
+# ) # TODO: can this be done automatically, or add node through an API?
+# return session
+# except NodeAlreadyExecutedError:
+# raise HTTPException(status_code=400)
+# except IndexError:
+# raise HTTPException(status_code=400)
-@session_router.delete(
- "/{session_id}/nodes/{node_path}",
- operation_id="delete_node",
- responses={
- 200: {"model": GraphExecutionState},
- 400: {"description": "Invalid node or link"},
- 404: {"description": "Session not found"},
- },
- deprecated=True,
-)
-async def delete_node(
- session_id: str = Path(description="The id of the session"),
- node_path: str = Path(description="The path to the node to delete"),
-) -> GraphExecutionState:
- """Deletes a node in the graph and removes all linked edges"""
- session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
- if session is None:
- raise HTTPException(status_code=404)
+# @session_router.delete(
+# "/{session_id}/nodes/{node_path}",
+# operation_id="delete_node",
+# responses={
+# 200: {"model": GraphExecutionState},
+# 400: {"description": "Invalid node or link"},
+# 404: {"description": "Session not found"},
+# },
+# deprecated=True,
+# )
+# async def delete_node(
+# session_id: str = Path(description="The id of the session"),
+# node_path: str = Path(description="The path to the node to delete"),
+# ) -> GraphExecutionState:
+# """Deletes a node in the graph and removes all linked edges"""
+# session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
+# if session is None:
+# raise HTTPException(status_code=404)
- try:
- session.delete_node(node_path)
- ApiDependencies.invoker.services.graph_execution_manager.set(
- session
- ) # TODO: can this be done automatically, or add node through an API?
- return session
- except NodeAlreadyExecutedError:
- raise HTTPException(status_code=400)
- except IndexError:
- raise HTTPException(status_code=400)
+# try:
+# session.delete_node(node_path)
+# ApiDependencies.invoker.services.graph_execution_manager.set(
+# session
+# ) # TODO: can this be done automatically, or add node through an API?
+# return session
+# except NodeAlreadyExecutedError:
+# raise HTTPException(status_code=400)
+# except IndexError:
+# raise HTTPException(status_code=400)
-@session_router.post(
- "/{session_id}/edges",
- operation_id="add_edge",
- responses={
- 200: {"model": GraphExecutionState},
- 400: {"description": "Invalid node or link"},
- 404: {"description": "Session not found"},
- },
- deprecated=True,
-)
-async def add_edge(
- session_id: str = Path(description="The id of the session"),
- edge: Edge = Body(description="The edge to add"),
-) -> GraphExecutionState:
- """Adds an edge to the graph"""
- session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
- if session is None:
- raise HTTPException(status_code=404)
+# @session_router.post(
+# "/{session_id}/edges",
+# operation_id="add_edge",
+# responses={
+# 200: {"model": GraphExecutionState},
+# 400: {"description": "Invalid node or link"},
+# 404: {"description": "Session not found"},
+# },
+# deprecated=True,
+# )
+# async def add_edge(
+# session_id: str = Path(description="The id of the session"),
+# edge: Edge = Body(description="The edge to add"),
+# ) -> GraphExecutionState:
+# """Adds an edge to the graph"""
+# session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
+# if session is None:
+# raise HTTPException(status_code=404)
- try:
- session.add_edge(edge)
- ApiDependencies.invoker.services.graph_execution_manager.set(
- session
- ) # TODO: can this be done automatically, or add node through an API?
- return session
- except NodeAlreadyExecutedError:
- raise HTTPException(status_code=400)
- except IndexError:
- raise HTTPException(status_code=400)
+# try:
+# session.add_edge(edge)
+# ApiDependencies.invoker.services.graph_execution_manager.set(
+# session
+# ) # TODO: can this be done automatically, or add node through an API?
+# return session
+# except NodeAlreadyExecutedError:
+# raise HTTPException(status_code=400)
+# except IndexError:
+# raise HTTPException(status_code=400)
-# TODO: the edge being in the path here is really ugly, find a better solution
-@session_router.delete(
- "/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}",
- operation_id="delete_edge",
- responses={
- 200: {"model": GraphExecutionState},
- 400: {"description": "Invalid node or link"},
- 404: {"description": "Session not found"},
- },
- deprecated=True,
-)
-async def delete_edge(
- session_id: str = Path(description="The id of the session"),
- from_node_id: str = Path(description="The id of the node the edge is coming from"),
- from_field: str = Path(description="The field of the node the edge is coming from"),
- to_node_id: str = Path(description="The id of the node the edge is going to"),
- to_field: str = Path(description="The field of the node the edge is going to"),
-) -> GraphExecutionState:
- """Deletes an edge from the graph"""
- session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
- if session is None:
- raise HTTPException(status_code=404)
+# # TODO: the edge being in the path here is really ugly, find a better solution
+# @session_router.delete(
+# "/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}",
+# operation_id="delete_edge",
+# responses={
+# 200: {"model": GraphExecutionState},
+# 400: {"description": "Invalid node or link"},
+# 404: {"description": "Session not found"},
+# },
+# deprecated=True,
+# )
+# async def delete_edge(
+# session_id: str = Path(description="The id of the session"),
+# from_node_id: str = Path(description="The id of the node the edge is coming from"),
+# from_field: str = Path(description="The field of the node the edge is coming from"),
+# to_node_id: str = Path(description="The id of the node the edge is going to"),
+# to_field: str = Path(description="The field of the node the edge is going to"),
+# ) -> GraphExecutionState:
+# """Deletes an edge from the graph"""
+# session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
+# if session is None:
+# raise HTTPException(status_code=404)
- try:
- edge = Edge(
- source=EdgeConnection(node_id=from_node_id, field=from_field),
- destination=EdgeConnection(node_id=to_node_id, field=to_field),
- )
- session.delete_edge(edge)
- ApiDependencies.invoker.services.graph_execution_manager.set(
- session
- ) # TODO: can this be done automatically, or add node through an API?
- return session
- except NodeAlreadyExecutedError:
- raise HTTPException(status_code=400)
- except IndexError:
- raise HTTPException(status_code=400)
+# try:
+# edge = Edge(
+# source=EdgeConnection(node_id=from_node_id, field=from_field),
+# destination=EdgeConnection(node_id=to_node_id, field=to_field),
+# )
+# session.delete_edge(edge)
+# ApiDependencies.invoker.services.graph_execution_manager.set(
+# session
+# ) # TODO: can this be done automatically, or add node through an API?
+# return session
+# except NodeAlreadyExecutedError:
+# raise HTTPException(status_code=400)
+# except IndexError:
+# raise HTTPException(status_code=400)
-@session_router.put(
- "/{session_id}/invoke",
- operation_id="invoke_session",
- responses={
- 200: {"model": None},
- 202: {"description": "The invocation is queued"},
- 400: {"description": "The session has no invocations ready to invoke"},
- 404: {"description": "Session not found"},
- },
- deprecated=True,
-)
-async def invoke_session(
- queue_id: str = Query(description="The id of the queue to associate the session with"),
- session_id: str = Path(description="The id of the session to invoke"),
- all: bool = Query(default=False, description="Whether or not to invoke all remaining invocations"),
-) -> Response:
- """Invokes a session"""
- session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
- if session is None:
- raise HTTPException(status_code=404)
+# @session_router.put(
+# "/{session_id}/invoke",
+# operation_id="invoke_session",
+# responses={
+# 200: {"model": None},
+# 202: {"description": "The invocation is queued"},
+# 400: {"description": "The session has no invocations ready to invoke"},
+# 404: {"description": "Session not found"},
+# },
+# deprecated=True,
+# )
+# async def invoke_session(
+# queue_id: str = Query(description="The id of the queue to associate the session with"),
+# session_id: str = Path(description="The id of the session to invoke"),
+# all: bool = Query(default=False, description="Whether or not to invoke all remaining invocations"),
+# ) -> Response:
+# """Invokes a session"""
+# session = ApiDependencies.invoker.services.graph_execution_manager.get(session_id)
+# if session is None:
+# raise HTTPException(status_code=404)
- if session.is_complete():
- raise HTTPException(status_code=400)
+# if session.is_complete():
+# raise HTTPException(status_code=400)
- ApiDependencies.invoker.invoke(queue_id, session, invoke_all=all)
- return Response(status_code=202)
+# ApiDependencies.invoker.invoke(queue_id, session, invoke_all=all)
+# return Response(status_code=202)
-@session_router.delete(
- "/{session_id}/invoke",
- operation_id="cancel_session_invoke",
- responses={202: {"description": "The invocation is canceled"}},
- deprecated=True,
-)
-async def cancel_session_invoke(
- session_id: str = Path(description="The id of the session to cancel"),
-) -> Response:
- """Invokes a session"""
- ApiDependencies.invoker.cancel(session_id)
- return Response(status_code=202)
+# @session_router.delete(
+# "/{session_id}/invoke",
+# operation_id="cancel_session_invoke",
+# responses={202: {"description": "The invocation is canceled"}},
+# deprecated=True,
+# )
+# async def cancel_session_invoke(
+# session_id: str = Path(description="The id of the session to cancel"),
+# ) -> Response:
+# """Invokes a session"""
+# ApiDependencies.invoker.cancel(session_id)
+# return Response(status_code=202)
diff --git a/invokeai/app/api/routers/utilities.py b/invokeai/app/api/routers/utilities.py
index e664cb9070..476d10e2c0 100644
--- a/invokeai/app/api/routers/utilities.py
+++ b/invokeai/app/api/routers/utilities.py
@@ -1,4 +1,4 @@
-from typing import Optional
+from typing import Optional, Union
from dynamicprompts.generators import CombinatorialPromptGenerator, RandomPromptGenerator
from fastapi import Body
@@ -27,6 +27,7 @@ async def parse_dynamicprompts(
combinatorial: bool = Body(default=True, description="Whether to use the combinatorial generator"),
) -> DynamicPromptsResponse:
"""Creates a batch process"""
+ generator: Union[RandomPromptGenerator, CombinatorialPromptGenerator]
try:
error: Optional[str] = None
if combinatorial:
diff --git a/invokeai/app/api/sockets.py b/invokeai/app/api/sockets.py
index ae699f35ef..5725901de0 100644
--- a/invokeai/app/api/sockets.py
+++ b/invokeai/app/api/sockets.py
@@ -5,7 +5,7 @@ from fastapi_events.handlers.local import local_handler
from fastapi_events.typing import Event
from socketio import ASGIApp, AsyncServer
-from ..services.events import EventServiceBase
+from ..services.events.events_base import EventServiceBase
class SocketIO:
@@ -30,8 +30,8 @@ class SocketIO:
async def _handle_sub_queue(self, sid, data, *args, **kwargs):
if "queue_id" in data:
- self.__sio.enter_room(sid, data["queue_id"])
+ await self.__sio.enter_room(sid, data["queue_id"])
async def _handle_unsub_queue(self, sid, data, *args, **kwargs):
if "queue_id" in data:
- self.__sio.enter_room(sid, data["queue_id"])
+ await self.__sio.enter_room(sid, data["queue_id"])
diff --git a/invokeai/app/api_app.py b/invokeai/app/api_app.py
index fdbd64b30d..e07b037dd1 100644
--- a/invokeai/app/api_app.py
+++ b/invokeai/app/api_app.py
@@ -22,7 +22,7 @@ if True: # hack to make flake8 happy with imports coming after setting up the c
from fastapi.staticfiles import StaticFiles
from fastapi_events.handlers.local import local_handler
from fastapi_events.middleware import EventHandlerASGIMiddleware
- from pydantic.schema import schema
+ from pydantic.json_schema import models_json_schema
# noinspection PyUnresolvedReferences
import invokeai.backend.util.hotfixes # noqa: F401 (monkeypatching on import)
@@ -51,7 +51,7 @@ mimetypes.add_type("text/css", ".css")
# Create the app
# TODO: create this all in a method so configuration/etc. can be passed in?
-app = FastAPI(title="Invoke AI", docs_url=None, redoc_url=None)
+app = FastAPI(title="Invoke AI", docs_url=None, redoc_url=None, separate_input_output_schemas=False)
# Add event handler
event_handler_id: int = id(app)
@@ -63,18 +63,18 @@ app.add_middleware(
socket_io = SocketIO(app)
+app.add_middleware(
+ CORSMiddleware,
+ allow_origins=app_config.allow_origins,
+ allow_credentials=app_config.allow_credentials,
+ allow_methods=app_config.allow_methods,
+ allow_headers=app_config.allow_headers,
+)
+
# Add startup event to load dependencies
@app.on_event("startup")
async def startup_event():
- app.add_middleware(
- CORSMiddleware,
- allow_origins=app_config.allow_origins,
- allow_credentials=app_config.allow_credentials,
- allow_methods=app_config.allow_methods,
- allow_headers=app_config.allow_headers,
- )
-
ApiDependencies.initialize(config=app_config, event_handler_id=event_handler_id, logger=logger)
@@ -85,11 +85,6 @@ async def shutdown_event():
# Include all routers
-# TODO: REMOVE
-# app.include_router(
-# invocation.invocation_router,
-# prefix = '/api')
-
app.include_router(sessions.session_router, prefix="/api")
app.include_router(utilities.utilities_router, prefix="/api")
@@ -117,6 +112,7 @@ def custom_openapi():
description="An API for invoking AI image operations",
version="1.0.0",
routes=app.routes,
+ separate_input_output_schemas=False, # https://fastapi.tiangolo.com/how-to/separate-openapi-schemas/
)
# Add all outputs
@@ -127,29 +123,32 @@ def custom_openapi():
output_type = signature(invoker.invoke).return_annotation
output_types.add(output_type)
- output_schemas = schema(output_types, ref_prefix="#/components/schemas/")
- for schema_key, output_schema in output_schemas["definitions"].items():
- output_schema["class"] = "output"
- openapi_schema["components"]["schemas"][schema_key] = output_schema
-
+ output_schemas = models_json_schema(
+ models=[(o, "serialization") for o in output_types], ref_template="#/components/schemas/{model}"
+ )
+ for schema_key, output_schema in output_schemas[1]["$defs"].items():
# TODO: note that we assume the schema_key here is the TYPE.__name__
# This could break in some cases, figure out a better way to do it
output_type_titles[schema_key] = output_schema["title"]
# Add Node Editor UI helper schemas
- ui_config_schemas = schema([UIConfigBase, _InputField, _OutputField], ref_prefix="#/components/schemas/")
- for schema_key, ui_config_schema in ui_config_schemas["definitions"].items():
+ ui_config_schemas = models_json_schema(
+ [(UIConfigBase, "serialization"), (_InputField, "serialization"), (_OutputField, "serialization")],
+ ref_template="#/components/schemas/{model}",
+ )
+ for schema_key, ui_config_schema in ui_config_schemas[1]["$defs"].items():
openapi_schema["components"]["schemas"][schema_key] = ui_config_schema
# Add a reference to the output type to additionalProperties of the invoker schema
for invoker in all_invocations:
invoker_name = invoker.__name__
- output_type = signature(invoker.invoke).return_annotation
+ output_type = signature(obj=invoker.invoke).return_annotation
output_type_title = output_type_titles[output_type.__name__]
- invoker_schema = openapi_schema["components"]["schemas"][invoker_name]
+ invoker_schema = openapi_schema["components"]["schemas"][f"{invoker_name}"]
outputs_ref = {"$ref": f"#/components/schemas/{output_type_title}"}
invoker_schema["output"] = outputs_ref
invoker_schema["class"] = "invocation"
+ openapi_schema["components"]["schemas"][f"{output_type_title}"]["class"] = "output"
from invokeai.backend.model_management.models import get_model_config_enums
@@ -172,7 +171,7 @@ def custom_openapi():
return app.openapi_schema
-app.openapi = custom_openapi
+app.openapi = custom_openapi # type: ignore [method-assign] # this is a valid assignment
# Override API doc favicons
app.mount("/static", StaticFiles(directory=Path(web_dir.__path__[0], "static/dream_web")), name="static")
diff --git a/invokeai/app/cli/commands.py b/invokeai/app/cli/commands.py
index b000abcf6a..c21c6315ed 100644
--- a/invokeai/app/cli/commands.py
+++ b/invokeai/app/cli/commands.py
@@ -24,8 +24,8 @@ def add_field_argument(command_parser, name: str, field, default_override=None):
if field.default_factory is None
else field.default_factory()
)
- if get_origin(field.type_) == Literal:
- allowed_values = get_args(field.type_)
+ if get_origin(field.annotation) == Literal:
+ allowed_values = get_args(field.annotation)
allowed_types = set()
for val in allowed_values:
allowed_types.add(type(val))
@@ -38,15 +38,15 @@ def add_field_argument(command_parser, name: str, field, default_override=None):
type=field_type,
default=default,
choices=allowed_values,
- help=field.field_info.description,
+ help=field.description,
)
else:
command_parser.add_argument(
f"--{name}",
dest=name,
- type=field.type_,
+ type=field.annotation,
default=default,
- help=field.field_info.description,
+ help=field.description,
)
@@ -142,7 +142,6 @@ class BaseCommand(ABC, BaseModel):
"""A CLI command"""
# All commands must include a type name like this:
- # type: Literal['your_command_name'] = 'your_command_name'
@classmethod
def get_all_subclasses(cls):
diff --git a/invokeai/app/invocations/baseinvocation.py b/invokeai/app/invocations/baseinvocation.py
index 71af414f5b..cdbcc05226 100644
--- a/invokeai/app/invocations/baseinvocation.py
+++ b/invokeai/app/invocations/baseinvocation.py
@@ -7,28 +7,16 @@ import re
from abc import ABC, abstractmethod
from enum import Enum
from inspect import signature
-from typing import (
- TYPE_CHECKING,
- AbstractSet,
- Any,
- Callable,
- ClassVar,
- Literal,
- Mapping,
- Optional,
- Type,
- TypeVar,
- Union,
- get_args,
- get_type_hints,
-)
+from types import UnionType
+from typing import TYPE_CHECKING, Any, Callable, ClassVar, Iterable, Literal, Optional, Type, TypeVar, Union
import semver
-from pydantic import BaseModel, Field, validator
-from pydantic.fields import ModelField, Undefined
-from pydantic.typing import NoArgAnyCallable
+from pydantic import BaseModel, ConfigDict, Field, create_model, field_validator
+from pydantic.fields import _Unset
+from pydantic_core import PydanticUndefined
-from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig
+from invokeai.app.services.config.config_default import InvokeAIAppConfig
+from invokeai.app.util.misc import uuid_string
if TYPE_CHECKING:
from ..services.invocation_services import InvocationServices
@@ -215,6 +203,11 @@ class _InputField(BaseModel):
ui_choice_labels: Optional[dict[str, str]]
item_default: Optional[Any]
+ model_config = ConfigDict(
+ validate_assignment=True,
+ json_schema_serialization_defaults_required=True,
+ )
+
class _OutputField(BaseModel):
"""
@@ -228,34 +221,36 @@ class _OutputField(BaseModel):
ui_type: Optional[UIType]
ui_order: Optional[int]
+ model_config = ConfigDict(
+ validate_assignment=True,
+ json_schema_serialization_defaults_required=True,
+ )
+
+
+def get_type(klass: BaseModel) -> str:
+ """Helper function to get an invocation or invocation output's type. This is the default value of the `type` field."""
+ return klass.model_fields["type"].default
+
def InputField(
- *args: Any,
- default: Any = Undefined,
- default_factory: Optional[NoArgAnyCallable] = None,
- alias: Optional[str] = None,
- title: Optional[str] = None,
- description: Optional[str] = None,
- exclude: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None,
- include: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None,
- const: Optional[bool] = None,
- gt: Optional[float] = None,
- ge: Optional[float] = None,
- lt: Optional[float] = None,
- le: Optional[float] = None,
- multiple_of: Optional[float] = None,
- allow_inf_nan: Optional[bool] = None,
- max_digits: Optional[int] = None,
- decimal_places: Optional[int] = None,
- min_items: Optional[int] = None,
- max_items: Optional[int] = None,
- unique_items: Optional[bool] = None,
- min_length: Optional[int] = None,
- max_length: Optional[int] = None,
- allow_mutation: bool = True,
- regex: Optional[str] = None,
- discriminator: Optional[str] = None,
- repr: bool = True,
+ # copied from pydantic's Field
+ default: Any = _Unset,
+ default_factory: Callable[[], Any] | None = _Unset,
+ title: str | None = _Unset,
+ description: str | None = _Unset,
+ pattern: str | None = _Unset,
+ strict: bool | None = _Unset,
+ gt: float | None = _Unset,
+ ge: float | None = _Unset,
+ lt: float | None = _Unset,
+ le: float | None = _Unset,
+ multiple_of: float | None = _Unset,
+ allow_inf_nan: bool | None = _Unset,
+ max_digits: int | None = _Unset,
+ decimal_places: int | None = _Unset,
+ min_length: int | None = _Unset,
+ max_length: int | None = _Unset,
+ # custom
input: Input = Input.Any,
ui_type: Optional[UIType] = None,
ui_component: Optional[UIComponent] = None,
@@ -263,7 +258,6 @@ def InputField(
ui_order: Optional[int] = None,
ui_choice_labels: Optional[dict[str, str]] = None,
item_default: Optional[Any] = None,
- **kwargs: Any,
) -> Any:
"""
Creates an input field for an invocation.
@@ -293,18 +287,26 @@ def InputField(
: param int ui_order: [None] Specifies the order in which this field should be rendered in the UI. \
: param bool item_default: [None] Specifies the default item value, if this is a collection input. \
- Ignored for non-collection fields..
+ Ignored for non-collection fields.
"""
- return Field(
- *args,
+
+ json_schema_extra_: dict[str, Any] = dict(
+ input=input,
+ ui_type=ui_type,
+ ui_component=ui_component,
+ ui_hidden=ui_hidden,
+ ui_order=ui_order,
+ item_default=item_default,
+ ui_choice_labels=ui_choice_labels,
+ )
+
+ field_args = dict(
default=default,
default_factory=default_factory,
- alias=alias,
title=title,
description=description,
- exclude=exclude,
- include=include,
- const=const,
+ pattern=pattern,
+ strict=strict,
gt=gt,
ge=ge,
lt=lt,
@@ -313,57 +315,92 @@ def InputField(
allow_inf_nan=allow_inf_nan,
max_digits=max_digits,
decimal_places=decimal_places,
- min_items=min_items,
- max_items=max_items,
- unique_items=unique_items,
min_length=min_length,
max_length=max_length,
- allow_mutation=allow_mutation,
- regex=regex,
- discriminator=discriminator,
- repr=repr,
- input=input,
- ui_type=ui_type,
- ui_component=ui_component,
- ui_hidden=ui_hidden,
- ui_order=ui_order,
- item_default=item_default,
- ui_choice_labels=ui_choice_labels,
- **kwargs,
+ )
+
+ """
+ Invocation definitions have their fields typed correctly for their `invoke()` functions.
+ This typing is often more specific than the actual invocation definition requires, because
+ fields may have values provided only by connections.
+
+ For example, consider an ResizeImageInvocation with an `image: ImageField` field.
+
+ `image` is required during the call to `invoke()`, but when the python class is instantiated,
+ the field may not be present. This is fine, because that image field will be provided by a
+ an ancestor node that outputs the image.
+
+ So we'd like to type that `image` field as `Optional[ImageField]`. If we do that, however, then
+ we need to handle a lot of extra logic in the `invoke()` function to check if the field has a
+ value or not. This is very tedious.
+
+ Ideally, the invocation definition would be able to specify that the field is required during
+ invocation, but optional during instantiation. So the field would be typed as `image: ImageField`,
+ but when calling the `invoke()` function, we raise an error if the field is not present.
+
+ To do this, we need to do a bit of fanagling to make the pydantic field optional, and then do
+ extra validation when calling `invoke()`.
+
+ There is some additional logic here to cleaning create the pydantic field via the wrapper.
+ """
+
+ # Filter out field args not provided
+ provided_args = {k: v for (k, v) in field_args.items() if v is not PydanticUndefined}
+
+ if (default is not PydanticUndefined) and (default_factory is not PydanticUndefined):
+ raise ValueError("Cannot specify both default and default_factory")
+
+ # because we are manually making fields optional, we need to store the original required bool for reference later
+ if default is PydanticUndefined and default_factory is PydanticUndefined:
+ json_schema_extra_.update(dict(orig_required=True))
+ else:
+ json_schema_extra_.update(dict(orig_required=False))
+
+ # make Input.Any and Input.Connection fields optional, providing None as a default if the field doesn't already have one
+ if (input is Input.Any or input is Input.Connection) and default_factory is PydanticUndefined:
+ default_ = None if default is PydanticUndefined else default
+ provided_args.update(dict(default=default_))
+ if default is not PydanticUndefined:
+ # before invoking, we'll grab the original default value and set it on the field if the field wasn't provided a value
+ json_schema_extra_.update(dict(default=default))
+ json_schema_extra_.update(dict(orig_default=default))
+ elif default is not PydanticUndefined and default_factory is PydanticUndefined:
+ default_ = default
+ provided_args.update(dict(default=default_))
+ json_schema_extra_.update(dict(orig_default=default_))
+ elif default_factory is not PydanticUndefined:
+ provided_args.update(dict(default_factory=default_factory))
+ # TODO: cannot serialize default_factory...
+ # json_schema_extra_.update(dict(orig_default_factory=default_factory))
+
+ return Field(
+ **provided_args,
+ json_schema_extra=json_schema_extra_,
)
def OutputField(
- *args: Any,
- default: Any = Undefined,
- default_factory: Optional[NoArgAnyCallable] = None,
- alias: Optional[str] = None,
- title: Optional[str] = None,
- description: Optional[str] = None,
- exclude: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None,
- include: Optional[Union[AbstractSet[Union[int, str]], Mapping[Union[int, str], Any], Any]] = None,
- const: Optional[bool] = None,
- gt: Optional[float] = None,
- ge: Optional[float] = None,
- lt: Optional[float] = None,
- le: Optional[float] = None,
- multiple_of: Optional[float] = None,
- allow_inf_nan: Optional[bool] = None,
- max_digits: Optional[int] = None,
- decimal_places: Optional[int] = None,
- min_items: Optional[int] = None,
- max_items: Optional[int] = None,
- unique_items: Optional[bool] = None,
- min_length: Optional[int] = None,
- max_length: Optional[int] = None,
- allow_mutation: bool = True,
- regex: Optional[str] = None,
- discriminator: Optional[str] = None,
- repr: bool = True,
+ # copied from pydantic's Field
+ default: Any = _Unset,
+ default_factory: Callable[[], Any] | None = _Unset,
+ title: str | None = _Unset,
+ description: str | None = _Unset,
+ pattern: str | None = _Unset,
+ strict: bool | None = _Unset,
+ gt: float | None = _Unset,
+ ge: float | None = _Unset,
+ lt: float | None = _Unset,
+ le: float | None = _Unset,
+ multiple_of: float | None = _Unset,
+ allow_inf_nan: bool | None = _Unset,
+ max_digits: int | None = _Unset,
+ decimal_places: int | None = _Unset,
+ min_length: int | None = _Unset,
+ max_length: int | None = _Unset,
+ # custom
ui_type: Optional[UIType] = None,
ui_hidden: bool = False,
ui_order: Optional[int] = None,
- **kwargs: Any,
) -> Any:
"""
Creates an output field for an invocation output.
@@ -383,15 +420,12 @@ def OutputField(
: param int ui_order: [None] Specifies the order in which this field should be rendered in the UI. \
"""
return Field(
- *args,
default=default,
default_factory=default_factory,
- alias=alias,
title=title,
description=description,
- exclude=exclude,
- include=include,
- const=const,
+ pattern=pattern,
+ strict=strict,
gt=gt,
ge=ge,
lt=lt,
@@ -400,19 +434,13 @@ def OutputField(
allow_inf_nan=allow_inf_nan,
max_digits=max_digits,
decimal_places=decimal_places,
- min_items=min_items,
- max_items=max_items,
- unique_items=unique_items,
min_length=min_length,
max_length=max_length,
- allow_mutation=allow_mutation,
- regex=regex,
- discriminator=discriminator,
- repr=repr,
- ui_type=ui_type,
- ui_hidden=ui_hidden,
- ui_order=ui_order,
- **kwargs,
+ json_schema_extra=dict(
+ ui_type=ui_type,
+ ui_hidden=ui_hidden,
+ ui_order=ui_order,
+ ),
)
@@ -426,7 +454,13 @@ class UIConfigBase(BaseModel):
title: Optional[str] = Field(default=None, description="The node's display name")
category: Optional[str] = Field(default=None, description="The node's category")
version: Optional[str] = Field(
- default=None, description='The node\'s version. Should be a valid semver string e.g. "1.0.0" or "3.8.13".'
+ default=None,
+ description='The node\'s version. Should be a valid semver string e.g. "1.0.0" or "3.8.13".',
+ )
+
+ model_config = ConfigDict(
+ validate_assignment=True,
+ json_schema_serialization_defaults_required=True,
)
@@ -461,23 +495,38 @@ class BaseInvocationOutput(BaseModel):
All invocation outputs must use the `@invocation_output` decorator to provide their unique type.
"""
- @classmethod
- def get_all_subclasses_tuple(cls):
- subclasses = []
- toprocess = [cls]
- while len(toprocess) > 0:
- next = toprocess.pop(0)
- next_subclasses = next.__subclasses__()
- subclasses.extend(next_subclasses)
- toprocess.extend(next_subclasses)
- return tuple(subclasses)
+ _output_classes: ClassVar[set[BaseInvocationOutput]] = set()
- class Config:
- @staticmethod
- def schema_extra(schema: dict[str, Any], model_class: Type[BaseModel]) -> None:
- if "required" not in schema or not isinstance(schema["required"], list):
- schema["required"] = list()
- schema["required"].extend(["type"])
+ @classmethod
+ def register_output(cls, output: BaseInvocationOutput) -> None:
+ cls._output_classes.add(output)
+
+ @classmethod
+ def get_outputs(cls) -> Iterable[BaseInvocationOutput]:
+ return cls._output_classes
+
+ @classmethod
+ def get_outputs_union(cls) -> UnionType:
+ outputs_union = Union[tuple(cls._output_classes)] # type: ignore [valid-type]
+ return outputs_union # type: ignore [return-value]
+
+ @classmethod
+ def get_output_types(cls) -> Iterable[str]:
+ return map(lambda i: get_type(i), BaseInvocationOutput.get_outputs())
+
+ @staticmethod
+ def json_schema_extra(schema: dict[str, Any], model_class: Type[BaseModel]) -> None:
+ # Because we use a pydantic Literal field with default value for the invocation type,
+ # it will be typed as optional in the OpenAPI schema. Make it required manually.
+ if "required" not in schema or not isinstance(schema["required"], list):
+ schema["required"] = list()
+ schema["required"].extend(["type"])
+
+ model_config = ConfigDict(
+ validate_assignment=True,
+ json_schema_serialization_defaults_required=True,
+ json_schema_extra=json_schema_extra,
+ )
class RequiredConnectionException(Exception):
@@ -502,104 +551,91 @@ class BaseInvocation(ABC, BaseModel):
All invocations must use the `@invocation` decorator to provide their unique type.
"""
+ _invocation_classes: ClassVar[set[BaseInvocation]] = set()
+
@classmethod
- def get_all_subclasses(cls):
+ def register_invocation(cls, invocation: BaseInvocation) -> None:
+ cls._invocation_classes.add(invocation)
+
+ @classmethod
+ def get_invocations_union(cls) -> UnionType:
+ invocations_union = Union[tuple(cls._invocation_classes)] # type: ignore [valid-type]
+ return invocations_union # type: ignore [return-value]
+
+ @classmethod
+ def get_invocations(cls) -> Iterable[BaseInvocation]:
app_config = InvokeAIAppConfig.get_config()
- subclasses = []
- toprocess = [cls]
- while len(toprocess) > 0:
- next = toprocess.pop(0)
- next_subclasses = next.__subclasses__()
- subclasses.extend(next_subclasses)
- toprocess.extend(next_subclasses)
- allowed_invocations = []
- for sc in subclasses:
+ allowed_invocations: set[BaseInvocation] = set()
+ for sc in cls._invocation_classes:
+ invocation_type = get_type(sc)
is_in_allowlist = (
- sc.__fields__.get("type").default in app_config.allow_nodes
- if isinstance(app_config.allow_nodes, list)
- else True
+ invocation_type in app_config.allow_nodes if isinstance(app_config.allow_nodes, list) else True
)
-
is_in_denylist = (
- sc.__fields__.get("type").default in app_config.deny_nodes
- if isinstance(app_config.deny_nodes, list)
- else False
+ invocation_type in app_config.deny_nodes if isinstance(app_config.deny_nodes, list) else False
)
-
if is_in_allowlist and not is_in_denylist:
- allowed_invocations.append(sc)
+ allowed_invocations.add(sc)
return allowed_invocations
@classmethod
- def get_invocations(cls):
- return tuple(BaseInvocation.get_all_subclasses())
-
- @classmethod
- def get_invocations_map(cls):
+ def get_invocations_map(cls) -> dict[str, BaseInvocation]:
# Get the type strings out of the literals and into a dictionary
return dict(
map(
- lambda t: (get_args(get_type_hints(t)["type"])[0], t),
- BaseInvocation.get_all_subclasses(),
+ lambda i: (get_type(i), i),
+ BaseInvocation.get_invocations(),
)
)
@classmethod
- def get_output_type(cls):
+ def get_invocation_types(cls) -> Iterable[str]:
+ return map(lambda i: get_type(i), BaseInvocation.get_invocations())
+
+ @classmethod
+ def get_output_type(cls) -> BaseInvocationOutput:
return signature(cls.invoke).return_annotation
- class Config:
- validate_assignment = True
- validate_all = True
-
- @staticmethod
- def schema_extra(schema: dict[str, Any], model_class: Type[BaseModel]) -> None:
- uiconfig = getattr(model_class, "UIConfig", None)
- if uiconfig and hasattr(uiconfig, "title"):
- schema["title"] = uiconfig.title
- if uiconfig and hasattr(uiconfig, "tags"):
- schema["tags"] = uiconfig.tags
- if uiconfig and hasattr(uiconfig, "category"):
- schema["category"] = uiconfig.category
- if uiconfig and hasattr(uiconfig, "version"):
- schema["version"] = uiconfig.version
- if "required" not in schema or not isinstance(schema["required"], list):
- schema["required"] = list()
- schema["required"].extend(["type", "id"])
+ @staticmethod
+ def json_schema_extra(schema: dict[str, Any], model_class: Type[BaseModel]) -> None:
+ # Add the various UI-facing attributes to the schema. These are used to build the invocation templates.
+ uiconfig = getattr(model_class, "UIConfig", None)
+ if uiconfig and hasattr(uiconfig, "title"):
+ schema["title"] = uiconfig.title
+ if uiconfig and hasattr(uiconfig, "tags"):
+ schema["tags"] = uiconfig.tags
+ if uiconfig and hasattr(uiconfig, "category"):
+ schema["category"] = uiconfig.category
+ if uiconfig and hasattr(uiconfig, "version"):
+ schema["version"] = uiconfig.version
+ if "required" not in schema or not isinstance(schema["required"], list):
+ schema["required"] = list()
+ schema["required"].extend(["type", "id"])
@abstractmethod
def invoke(self, context: InvocationContext) -> BaseInvocationOutput:
"""Invoke with provided context and return outputs."""
pass
- def __init__(self, **data):
- # nodes may have required fields, that can accept input from connections
- # on instantiation of the model, we need to exclude these from validation
- restore = dict()
- try:
- field_names = list(self.__fields__.keys())
- for field_name in field_names:
- # if the field is required and may get its value from a connection, exclude it from validation
- field = self.__fields__[field_name]
- _input = field.field_info.extra.get("input", None)
- if _input in [Input.Connection, Input.Any] and field.required:
- if field_name not in data:
- restore[field_name] = self.__fields__.pop(field_name)
- # instantiate the node, which will validate the data
- super().__init__(**data)
- finally:
- # restore the removed fields
- for field_name, field in restore.items():
- self.__fields__[field_name] = field
-
def invoke_internal(self, context: InvocationContext) -> BaseInvocationOutput:
- for field_name, field in self.__fields__.items():
- _input = field.field_info.extra.get("input", None)
- if field.required and not hasattr(self, field_name):
- if _input == Input.Connection:
- raise RequiredConnectionException(self.__fields__["type"].default, field_name)
- elif _input == Input.Any:
- raise MissingInputException(self.__fields__["type"].default, field_name)
+ for field_name, field in self.model_fields.items():
+ if not field.json_schema_extra or callable(field.json_schema_extra):
+ # something has gone terribly awry, we should always have this and it should be a dict
+ continue
+
+ # Here we handle the case where the field is optional in the pydantic class, but required
+ # in the `invoke()` method.
+
+ orig_default = field.json_schema_extra.get("orig_default", PydanticUndefined)
+ orig_required = field.json_schema_extra.get("orig_required", True)
+ input_ = field.json_schema_extra.get("input", None)
+ if orig_default is not PydanticUndefined and not hasattr(self, field_name):
+ setattr(self, field_name, orig_default)
+ if orig_required and orig_default is PydanticUndefined and getattr(self, field_name) is None:
+ if input_ == Input.Connection:
+ raise RequiredConnectionException(self.model_fields["type"].default, field_name)
+ elif input_ == Input.Any:
+ raise MissingInputException(self.model_fields["type"].default, field_name)
# skip node cache codepath if it's disabled
if context.services.configuration.node_cache_size == 0:
@@ -622,23 +658,31 @@ class BaseInvocation(ABC, BaseModel):
return self.invoke(context)
def get_type(self) -> str:
- return self.__fields__["type"].default
+ return self.model_fields["type"].default
id: str = Field(
- description="The id of this instance of an invocation. Must be unique among all instances of invocations."
+ default_factory=uuid_string,
+ description="The id of this instance of an invocation. Must be unique among all instances of invocations.",
)
- is_intermediate: bool = InputField(
- default=False, description="Whether or not this is an intermediate invocation.", ui_type=UIType.IsIntermediate
+ is_intermediate: Optional[bool] = Field(
+ default=False,
+ description="Whether or not this is an intermediate invocation.",
+ json_schema_extra=dict(ui_type=UIType.IsIntermediate),
)
- workflow: Optional[str] = InputField(
+ workflow: Optional[str] = Field(
default=None,
description="The workflow to save with the image",
- ui_type=UIType.WorkflowField,
+ json_schema_extra=dict(ui_type=UIType.WorkflowField),
+ )
+ use_cache: Optional[bool] = Field(
+ default=True,
+ description="Whether or not to use the cache",
)
- use_cache: bool = InputField(default=True, description="Whether or not to use the cache")
- @validator("workflow", pre=True)
+ @field_validator("workflow", mode="before")
+ @classmethod
def validate_workflow_is_json(cls, v):
+ """We don't have a workflow schema in the backend, so we just check that it's valid JSON"""
if v is None:
return None
try:
@@ -649,8 +693,14 @@ class BaseInvocation(ABC, BaseModel):
UIConfig: ClassVar[Type[UIConfigBase]]
+ model_config = ConfigDict(
+ validate_assignment=True,
+ json_schema_extra=json_schema_extra,
+ json_schema_serialization_defaults_required=True,
+ )
-GenericBaseInvocation = TypeVar("GenericBaseInvocation", bound=BaseInvocation)
+
+TBaseInvocation = TypeVar("TBaseInvocation", bound=BaseInvocation)
def invocation(
@@ -660,7 +710,7 @@ def invocation(
category: Optional[str] = None,
version: Optional[str] = None,
use_cache: Optional[bool] = True,
-) -> Callable[[Type[GenericBaseInvocation]], Type[GenericBaseInvocation]]:
+) -> Callable[[Type[TBaseInvocation]], Type[TBaseInvocation]]:
"""
Adds metadata to an invocation.
@@ -672,12 +722,15 @@ def invocation(
:param Optional[bool] use_cache: Whether or not to use the invocation cache. Defaults to True. The user may override this in the workflow editor.
"""
- def wrapper(cls: Type[GenericBaseInvocation]) -> Type[GenericBaseInvocation]:
+ def wrapper(cls: Type[TBaseInvocation]) -> Type[TBaseInvocation]:
# Validate invocation types on creation of invocation classes
# TODO: ensure unique?
if re.compile(r"^\S+$").match(invocation_type) is None:
raise ValueError(f'"invocation_type" must consist of non-whitespace characters, got "{invocation_type}"')
+ if invocation_type in BaseInvocation.get_invocation_types():
+ raise ValueError(f'Invocation type "{invocation_type}" already exists')
+
# Add OpenAPI schema extras
uiconf_name = cls.__qualname__ + ".UIConfig"
if not hasattr(cls, "UIConfig") or cls.UIConfig.__qualname__ != uiconf_name:
@@ -695,59 +748,83 @@ def invocation(
raise InvalidVersionError(f'Invalid version string for node "{invocation_type}": "{version}"') from e
cls.UIConfig.version = version
if use_cache is not None:
- cls.__fields__["use_cache"].default = use_cache
+ cls.model_fields["use_cache"].default = use_cache
+
+ # Add the invocation type to the model.
+
+ # You'd be tempted to just add the type field and rebuild the model, like this:
+ # cls.model_fields.update(type=FieldInfo.from_annotated_attribute(Literal[invocation_type], invocation_type))
+ # cls.model_rebuild() or cls.model_rebuild(force=True)
+
+ # Unfortunately, because the `GraphInvocation` uses a forward ref in its `graph` field's annotation, this does
+ # not work. Instead, we have to create a new class with the type field and patch the original class with it.
- # Add the invocation type to the pydantic model of the invocation
invocation_type_annotation = Literal[invocation_type] # type: ignore
- invocation_type_field = ModelField.infer(
- name="type",
- value=invocation_type,
- annotation=invocation_type_annotation,
- class_validators=None,
- config=cls.__config__,
+ invocation_type_field = Field(
+ title="type",
+ default=invocation_type,
)
- cls.__fields__.update({"type": invocation_type_field})
- # to support 3.9, 3.10 and 3.11, as described in https://docs.python.org/3/howto/annotations.html
- if annotations := cls.__dict__.get("__annotations__", None):
- annotations.update({"type": invocation_type_annotation})
+
+ docstring = cls.__doc__
+ cls = create_model(
+ cls.__qualname__,
+ __base__=cls,
+ __module__=cls.__module__,
+ type=(invocation_type_annotation, invocation_type_field),
+ )
+ cls.__doc__ = docstring
+
+ # TODO: how to type this correctly? it's typed as ModelMetaclass, a private class in pydantic
+ BaseInvocation.register_invocation(cls) # type: ignore
+
return cls
return wrapper
-GenericBaseInvocationOutput = TypeVar("GenericBaseInvocationOutput", bound=BaseInvocationOutput)
+TBaseInvocationOutput = TypeVar("TBaseInvocationOutput", bound=BaseInvocationOutput)
def invocation_output(
output_type: str,
-) -> Callable[[Type[GenericBaseInvocationOutput]], Type[GenericBaseInvocationOutput]]:
+) -> Callable[[Type[TBaseInvocationOutput]], Type[TBaseInvocationOutput]]:
"""
Adds metadata to an invocation output.
:param str output_type: The type of the invocation output. Must be unique among all invocation outputs.
"""
- def wrapper(cls: Type[GenericBaseInvocationOutput]) -> Type[GenericBaseInvocationOutput]:
+ def wrapper(cls: Type[TBaseInvocationOutput]) -> Type[TBaseInvocationOutput]:
# Validate output types on creation of invocation output classes
# TODO: ensure unique?
if re.compile(r"^\S+$").match(output_type) is None:
raise ValueError(f'"output_type" must consist of non-whitespace characters, got "{output_type}"')
- # Add the output type to the pydantic model of the invocation output
- output_type_annotation = Literal[output_type] # type: ignore
- output_type_field = ModelField.infer(
- name="type",
- value=output_type,
- annotation=output_type_annotation,
- class_validators=None,
- config=cls.__config__,
- )
- cls.__fields__.update({"type": output_type_field})
+ if output_type in BaseInvocationOutput.get_output_types():
+ raise ValueError(f'Invocation type "{output_type}" already exists')
- # to support 3.9, 3.10 and 3.11, as described in https://docs.python.org/3/howto/annotations.html
- if annotations := cls.__dict__.get("__annotations__", None):
- annotations.update({"type": output_type_annotation})
+ # Add the output type to the model.
+
+ output_type_annotation = Literal[output_type] # type: ignore
+ output_type_field = Field(
+ title="type",
+ default=output_type,
+ )
+
+ docstring = cls.__doc__
+ cls = create_model(
+ cls.__qualname__,
+ __base__=cls,
+ __module__=cls.__module__,
+ type=(output_type_annotation, output_type_field),
+ )
+ cls.__doc__ = docstring
+
+ BaseInvocationOutput.register_output(cls) # type: ignore # TODO: how to type this correctly?
return cls
return wrapper
+
+
+GenericBaseModel = TypeVar("GenericBaseModel", bound=BaseModel)
diff --git a/invokeai/app/invocations/collections.py b/invokeai/app/invocations/collections.py
index 83863422f8..f26eebe1ff 100644
--- a/invokeai/app/invocations/collections.py
+++ b/invokeai/app/invocations/collections.py
@@ -2,7 +2,7 @@
import numpy as np
-from pydantic import validator
+from pydantic import ValidationInfo, field_validator
from invokeai.app.invocations.primitives import IntegerCollectionOutput
from invokeai.app.util.misc import SEED_MAX, get_random_seed
@@ -20,9 +20,9 @@ class RangeInvocation(BaseInvocation):
stop: int = InputField(default=10, description="The stop of the range")
step: int = InputField(default=1, description="The step of the range")
- @validator("stop")
- def stop_gt_start(cls, v, values):
- if "start" in values and v <= values["start"]:
+ @field_validator("stop")
+ def stop_gt_start(cls, v: int, info: ValidationInfo):
+ if "start" in info.data and v <= info.data["start"]:
raise ValueError("stop must be greater than start")
return v
diff --git a/invokeai/app/invocations/compel.py b/invokeai/app/invocations/compel.py
index b2634c2c56..b3ebc92320 100644
--- a/invokeai/app/invocations/compel.py
+++ b/invokeai/app/invocations/compel.py
@@ -1,6 +1,6 @@
import re
from dataclasses import dataclass
-from typing import List, Union
+from typing import List, Optional, Union
import torch
from compel import Compel, ReturnedEmbeddingsType
@@ -43,7 +43,13 @@ class ConditioningFieldData:
# PerpNeg = "perp_neg"
-@invocation("compel", title="Prompt", tags=["prompt", "compel"], category="conditioning", version="1.0.0")
+@invocation(
+ "compel",
+ title="Prompt",
+ tags=["prompt", "compel"],
+ category="conditioning",
+ version="1.0.0",
+)
class CompelInvocation(BaseInvocation):
"""Parse prompt using compel package to conditioning."""
@@ -61,17 +67,19 @@ class CompelInvocation(BaseInvocation):
@torch.no_grad()
def invoke(self, context: InvocationContext) -> ConditioningOutput:
tokenizer_info = context.services.model_manager.get_model(
- **self.clip.tokenizer.dict(),
+ **self.clip.tokenizer.model_dump(),
context=context,
)
text_encoder_info = context.services.model_manager.get_model(
- **self.clip.text_encoder.dict(),
+ **self.clip.text_encoder.model_dump(),
context=context,
)
def _lora_loader():
for lora in self.clip.loras:
- lora_info = context.services.model_manager.get_model(**lora.dict(exclude={"weight"}), context=context)
+ lora_info = context.services.model_manager.get_model(
+ **lora.model_dump(exclude={"weight"}), context=context
+ )
yield (lora_info.context.model, lora.weight)
del lora_info
return
@@ -160,11 +168,11 @@ class SDXLPromptInvocationBase:
zero_on_empty: bool,
):
tokenizer_info = context.services.model_manager.get_model(
- **clip_field.tokenizer.dict(),
+ **clip_field.tokenizer.model_dump(),
context=context,
)
text_encoder_info = context.services.model_manager.get_model(
- **clip_field.text_encoder.dict(),
+ **clip_field.text_encoder.model_dump(),
context=context,
)
@@ -172,7 +180,11 @@ class SDXLPromptInvocationBase:
if prompt == "" and zero_on_empty:
cpu_text_encoder = text_encoder_info.context.model
c = torch.zeros(
- (1, cpu_text_encoder.config.max_position_embeddings, cpu_text_encoder.config.hidden_size),
+ (
+ 1,
+ cpu_text_encoder.config.max_position_embeddings,
+ cpu_text_encoder.config.hidden_size,
+ ),
dtype=text_encoder_info.context.cache.precision,
)
if get_pooled:
@@ -186,7 +198,9 @@ class SDXLPromptInvocationBase:
def _lora_loader():
for lora in clip_field.loras:
- lora_info = context.services.model_manager.get_model(**lora.dict(exclude={"weight"}), context=context)
+ lora_info = context.services.model_manager.get_model(
+ **lora.model_dump(exclude={"weight"}), context=context
+ )
yield (lora_info.context.model, lora.weight)
del lora_info
return
@@ -273,8 +287,16 @@ class SDXLPromptInvocationBase:
class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
"""Parse prompt using compel package to conditioning."""
- prompt: str = InputField(default="", description=FieldDescriptions.compel_prompt, ui_component=UIComponent.Textarea)
- style: str = InputField(default="", description=FieldDescriptions.compel_prompt, ui_component=UIComponent.Textarea)
+ prompt: str = InputField(
+ default="",
+ description=FieldDescriptions.compel_prompt,
+ ui_component=UIComponent.Textarea,
+ )
+ style: str = InputField(
+ default="",
+ description=FieldDescriptions.compel_prompt,
+ ui_component=UIComponent.Textarea,
+ )
original_width: int = InputField(default=1024, description="")
original_height: int = InputField(default=1024, description="")
crop_top: int = InputField(default=0, description="")
@@ -310,7 +332,9 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
[
c1,
torch.zeros(
- (c1.shape[0], c2.shape[1] - c1.shape[1], c1.shape[2]), device=c1.device, dtype=c1.dtype
+ (c1.shape[0], c2.shape[1] - c1.shape[1], c1.shape[2]),
+ device=c1.device,
+ dtype=c1.dtype,
),
],
dim=1,
@@ -321,7 +345,9 @@ class SDXLCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase):
[
c2,
torch.zeros(
- (c2.shape[0], c1.shape[1] - c2.shape[1], c2.shape[2]), device=c2.device, dtype=c2.dtype
+ (c2.shape[0], c1.shape[1] - c2.shape[1], c2.shape[2]),
+ device=c2.device,
+ dtype=c2.dtype,
),
],
dim=1,
@@ -359,7 +385,9 @@ class SDXLRefinerCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase
"""Parse prompt using compel package to conditioning."""
style: str = InputField(
- default="", description=FieldDescriptions.compel_prompt, ui_component=UIComponent.Textarea
+ default="",
+ description=FieldDescriptions.compel_prompt,
+ ui_component=UIComponent.Textarea,
) # TODO: ?
original_width: int = InputField(default=1024, description="")
original_height: int = InputField(default=1024, description="")
@@ -403,10 +431,16 @@ class SDXLRefinerCompelPromptInvocation(BaseInvocation, SDXLPromptInvocationBase
class ClipSkipInvocationOutput(BaseInvocationOutput):
"""Clip skip node output"""
- clip: ClipField = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP")
+ clip: Optional[ClipField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP")
-@invocation("clip_skip", title="CLIP Skip", tags=["clipskip", "clip", "skip"], category="conditioning", version="1.0.0")
+@invocation(
+ "clip_skip",
+ title="CLIP Skip",
+ tags=["clipskip", "clip", "skip"],
+ category="conditioning",
+ version="1.0.0",
+)
class ClipSkipInvocation(BaseInvocation):
"""Skip layers in clip text_encoder model."""
@@ -421,7 +455,9 @@ class ClipSkipInvocation(BaseInvocation):
def get_max_token_count(
- tokenizer, prompt: Union[FlattenedPrompt, Blend, Conjunction], truncate_if_too_long=False
+ tokenizer,
+ prompt: Union[FlattenedPrompt, Blend, Conjunction],
+ truncate_if_too_long=False,
) -> int:
if type(prompt) is Blend:
blend: Blend = prompt
diff --git a/invokeai/app/invocations/controlnet_image_processors.py b/invokeai/app/invocations/controlnet_image_processors.py
index 933c32c908..200c37d851 100644
--- a/invokeai/app/invocations/controlnet_image_processors.py
+++ b/invokeai/app/invocations/controlnet_image_processors.py
@@ -2,7 +2,7 @@
# initial implementation by Gregg Helt, 2023
# heavily leverages controlnet_aux package: https://github.com/patrickvonplaten/controlnet_aux
from builtins import bool, float
-from typing import Dict, List, Literal, Optional, Union
+from typing import Dict, List, Literal, Union
import cv2
import numpy as np
@@ -24,12 +24,12 @@ from controlnet_aux import (
)
from controlnet_aux.util import HWC3, ade_palette
from PIL import Image
-from pydantic import BaseModel, Field, validator
+from pydantic import BaseModel, ConfigDict, Field, field_validator
from invokeai.app.invocations.primitives import ImageField, ImageOutput
+from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
from ...backend.model_management import BaseModelType
-from ..models.image import ImageCategory, ResourceOrigin
from .baseinvocation import (
BaseInvocation,
BaseInvocationOutput,
@@ -57,6 +57,8 @@ class ControlNetModelField(BaseModel):
model_name: str = Field(description="Name of the ControlNet model")
base_model: BaseModelType = Field(description="Base model")
+ model_config = ConfigDict(protected_namespaces=())
+
class ControlField(BaseModel):
image: ImageField = Field(description="The control image")
@@ -71,7 +73,7 @@ class ControlField(BaseModel):
control_mode: CONTROLNET_MODE_VALUES = Field(default="balanced", description="The control mode to use")
resize_mode: CONTROLNET_RESIZE_VALUES = Field(default="just_resize", description="The resize mode to use")
- @validator("control_weight")
+ @field_validator("control_weight")
def validate_control_weight(cls, v):
"""Validate that all control weights in the valid range"""
if isinstance(v, list):
@@ -124,9 +126,7 @@ class ControlNetInvocation(BaseInvocation):
)
-@invocation(
- "image_processor", title="Base Image Processor", tags=["controlnet"], category="controlnet", version="1.0.0"
-)
+# This invocation exists for other invocations to subclass it - do not register with @invocation!
class ImageProcessorInvocation(BaseInvocation):
"""Base class for invocations that preprocess images for ControlNet"""
@@ -393,9 +393,9 @@ class ContentShuffleImageProcessorInvocation(ImageProcessorInvocation):
detect_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.detect_res)
image_resolution: int = InputField(default=512, ge=0, description=FieldDescriptions.image_res)
- h: Optional[int] = InputField(default=512, ge=0, description="Content shuffle `h` parameter")
- w: Optional[int] = InputField(default=512, ge=0, description="Content shuffle `w` parameter")
- f: Optional[int] = InputField(default=256, ge=0, description="Content shuffle `f` parameter")
+ h: int = InputField(default=512, ge=0, description="Content shuffle `h` parameter")
+ w: int = InputField(default=512, ge=0, description="Content shuffle `w` parameter")
+ f: int = InputField(default=256, ge=0, description="Content shuffle `f` parameter")
def run_processor(self, image):
content_shuffle_processor = ContentShuffleDetector()
@@ -575,14 +575,14 @@ class ColorMapImageProcessorInvocation(ImageProcessorInvocation):
def run_processor(self, image: Image.Image):
image = image.convert("RGB")
- image = np.array(image, dtype=np.uint8)
- height, width = image.shape[:2]
+ np_image = np.array(image, dtype=np.uint8)
+ height, width = np_image.shape[:2]
width_tile_size = min(self.color_map_tile_size, width)
height_tile_size = min(self.color_map_tile_size, height)
color_map = cv2.resize(
- image,
+ np_image,
(width // width_tile_size, height // height_tile_size),
interpolation=cv2.INTER_CUBIC,
)
diff --git a/invokeai/app/invocations/cv.py b/invokeai/app/invocations/cv.py
index cbe76091d6..3b85955d74 100644
--- a/invokeai/app/invocations/cv.py
+++ b/invokeai/app/invocations/cv.py
@@ -6,7 +6,7 @@ import numpy
from PIL import Image, ImageOps
from invokeai.app.invocations.primitives import ImageField, ImageOutput
-from invokeai.app.models.image import ImageCategory, ResourceOrigin
+from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
from .baseinvocation import BaseInvocation, InputField, InvocationContext, invocation
diff --git a/invokeai/app/invocations/facetools.py b/invokeai/app/invocations/facetools.py
index 7926f76ce2..40e15e9476 100644
--- a/invokeai/app/invocations/facetools.py
+++ b/invokeai/app/invocations/facetools.py
@@ -8,7 +8,7 @@ import numpy as np
from mediapipe.python.solutions.face_mesh import FaceMesh # type: ignore[import]
from PIL import Image, ImageDraw, ImageFilter, ImageFont, ImageOps
from PIL.Image import Image as ImageType
-from pydantic import validator
+from pydantic import field_validator
import invokeai.assets.fonts as font_assets
from invokeai.app.invocations.baseinvocation import (
@@ -20,7 +20,7 @@ from invokeai.app.invocations.baseinvocation import (
invocation_output,
)
from invokeai.app.invocations.primitives import ImageField, ImageOutput
-from invokeai.app.models.image import ImageCategory, ResourceOrigin
+from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
@invocation_output("face_mask_output")
@@ -46,6 +46,8 @@ class FaceResultData(TypedDict):
y_center: float
mesh_width: int
mesh_height: int
+ chunk_x_offset: int
+ chunk_y_offset: int
class FaceResultDataWithId(FaceResultData):
@@ -78,6 +80,48 @@ FONT_SIZE = 32
FONT_STROKE_WIDTH = 4
+def coalesce_faces(face1: FaceResultData, face2: FaceResultData) -> FaceResultData:
+ face1_x_offset = face1["chunk_x_offset"] - min(face1["chunk_x_offset"], face2["chunk_x_offset"])
+ face2_x_offset = face2["chunk_x_offset"] - min(face1["chunk_x_offset"], face2["chunk_x_offset"])
+ face1_y_offset = face1["chunk_y_offset"] - min(face1["chunk_y_offset"], face2["chunk_y_offset"])
+ face2_y_offset = face2["chunk_y_offset"] - min(face1["chunk_y_offset"], face2["chunk_y_offset"])
+
+ new_im_width = (
+ max(face1["image"].width, face2["image"].width)
+ + max(face1["chunk_x_offset"], face2["chunk_x_offset"])
+ - min(face1["chunk_x_offset"], face2["chunk_x_offset"])
+ )
+ new_im_height = (
+ max(face1["image"].height, face2["image"].height)
+ + max(face1["chunk_y_offset"], face2["chunk_y_offset"])
+ - min(face1["chunk_y_offset"], face2["chunk_y_offset"])
+ )
+ pil_image = Image.new(mode=face1["image"].mode, size=(new_im_width, new_im_height))
+ pil_image.paste(face1["image"], (face1_x_offset, face1_y_offset))
+ pil_image.paste(face2["image"], (face2_x_offset, face2_y_offset))
+
+ # Mask images are always from the origin
+ new_mask_im_width = max(face1["mask"].width, face2["mask"].width)
+ new_mask_im_height = max(face1["mask"].height, face2["mask"].height)
+ mask_pil = create_white_image(new_mask_im_width, new_mask_im_height)
+ black_image = create_black_image(face1["mask"].width, face1["mask"].height)
+ mask_pil.paste(black_image, (0, 0), ImageOps.invert(face1["mask"]))
+ black_image = create_black_image(face2["mask"].width, face2["mask"].height)
+ mask_pil.paste(black_image, (0, 0), ImageOps.invert(face2["mask"]))
+
+ new_face = FaceResultData(
+ image=pil_image,
+ mask=mask_pil,
+ x_center=max(face1["x_center"], face2["x_center"]),
+ y_center=max(face1["y_center"], face2["y_center"]),
+ mesh_width=max(face1["mesh_width"], face2["mesh_width"]),
+ mesh_height=max(face1["mesh_height"], face2["mesh_height"]),
+ chunk_x_offset=max(face1["chunk_x_offset"], face2["chunk_x_offset"]),
+ chunk_y_offset=max(face2["chunk_y_offset"], face2["chunk_y_offset"]),
+ )
+ return new_face
+
+
def prepare_faces_list(
face_result_list: list[FaceResultData],
) -> list[FaceResultDataWithId]:
@@ -91,7 +135,7 @@ def prepare_faces_list(
should_add = True
candidate_x_center = candidate["x_center"]
candidate_y_center = candidate["y_center"]
- for face in deduped_faces:
+ for idx, face in enumerate(deduped_faces):
face_center_x = face["x_center"]
face_center_y = face["y_center"]
face_radius_w = face["mesh_width"] / 2
@@ -105,6 +149,7 @@ def prepare_faces_list(
)
if p < 1: # Inside of the already-added face's radius
+ deduped_faces[idx] = coalesce_faces(face, candidate)
should_add = False
break
@@ -138,7 +183,6 @@ def generate_face_box_mask(
chunk_x_offset: int = 0,
chunk_y_offset: int = 0,
draw_mesh: bool = True,
- check_bounds: bool = True,
) -> list[FaceResultData]:
result = []
mask_pil = None
@@ -211,33 +255,20 @@ def generate_face_box_mask(
mask_pil = create_white_image(w + chunk_x_offset, h + chunk_y_offset)
mask_pil.paste(init_mask_pil, (chunk_x_offset, chunk_y_offset))
- left_side = x_center - mesh_width
- right_side = x_center + mesh_width
- top_side = y_center - mesh_height
- bottom_side = y_center + mesh_height
- im_width, im_height = pil_image.size
- over_w = im_width * 0.1
- over_h = im_height * 0.1
- if not check_bounds or (
- (left_side >= -over_w)
- and (right_side < im_width + over_w)
- and (top_side >= -over_h)
- and (bottom_side < im_height + over_h)
- ):
- x_center = float(x_center)
- y_center = float(y_center)
- face = FaceResultData(
- image=pil_image,
- mask=mask_pil or create_white_image(*pil_image.size),
- x_center=x_center + chunk_x_offset,
- y_center=y_center + chunk_y_offset,
- mesh_width=mesh_width,
- mesh_height=mesh_height,
- )
+ x_center = float(x_center)
+ y_center = float(y_center)
+ face = FaceResultData(
+ image=pil_image,
+ mask=mask_pil or create_white_image(*pil_image.size),
+ x_center=x_center + chunk_x_offset,
+ y_center=y_center + chunk_y_offset,
+ mesh_width=mesh_width,
+ mesh_height=mesh_height,
+ chunk_x_offset=chunk_x_offset,
+ chunk_y_offset=chunk_y_offset,
+ )
- result.append(face)
- else:
- context.services.logger.info("FaceTools --> Face out of bounds, ignoring.")
+ result.append(face)
return result
@@ -346,7 +377,6 @@ def get_faces_list(
chunk_x_offset=0,
chunk_y_offset=0,
draw_mesh=draw_mesh,
- check_bounds=False,
)
if should_chunk or len(result) == 0:
context.services.logger.info("FaceTools --> Chunking image (chunk toggled on, or no face found in full image).")
@@ -360,24 +390,26 @@ def get_faces_list(
if width > height:
# Landscape - slice the image horizontally
fx = 0.0
- steps = int(width * 2 / height)
+ steps = int(width * 2 / height) + 1
+ increment = (width - height) / (steps - 1)
while fx <= (width - height):
x = int(fx)
- image_chunks.append(image.crop((x, 0, x + height - 1, height - 1)))
+ image_chunks.append(image.crop((x, 0, x + height, height)))
x_offsets.append(x)
y_offsets.append(0)
- fx += (width - height) / steps
+ fx += increment
context.services.logger.info(f"FaceTools --> Chunk starting at x = {x}")
elif height > width:
# Portrait - slice the image vertically
fy = 0.0
- steps = int(height * 2 / width)
+ steps = int(height * 2 / width) + 1
+ increment = (height - width) / (steps - 1)
while fy <= (height - width):
y = int(fy)
- image_chunks.append(image.crop((0, y, width - 1, y + width - 1)))
+ image_chunks.append(image.crop((0, y, width, y + width)))
x_offsets.append(0)
y_offsets.append(y)
- fy += (height - width) / steps
+ fy += increment
context.services.logger.info(f"FaceTools --> Chunk starting at y = {y}")
for idx in range(len(image_chunks)):
@@ -404,7 +436,7 @@ def get_faces_list(
return all_faces
-@invocation("face_off", title="FaceOff", tags=["image", "faceoff", "face", "mask"], category="image", version="1.0.1")
+@invocation("face_off", title="FaceOff", tags=["image", "faceoff", "face", "mask"], category="image", version="1.0.2")
class FaceOffInvocation(BaseInvocation):
"""Bound, extract, and mask a face from an image using MediaPipe detection"""
@@ -498,7 +530,7 @@ class FaceOffInvocation(BaseInvocation):
return output
-@invocation("face_mask_detection", title="FaceMask", tags=["image", "face", "mask"], category="image", version="1.0.1")
+@invocation("face_mask_detection", title="FaceMask", tags=["image", "face", "mask"], category="image", version="1.0.2")
class FaceMaskInvocation(BaseInvocation):
"""Face mask creation using mediapipe face detection"""
@@ -518,7 +550,7 @@ class FaceMaskInvocation(BaseInvocation):
)
invert_mask: bool = InputField(default=False, description="Toggle to invert the mask")
- @validator("face_ids")
+ @field_validator("face_ids")
def validate_comma_separated_ints(cls, v) -> str:
comma_separated_ints_regex = re.compile(r"^\d*(,\d+)*$")
if comma_separated_ints_regex.match(v) is None:
@@ -616,7 +648,7 @@ class FaceMaskInvocation(BaseInvocation):
@invocation(
- "face_identifier", title="FaceIdentifier", tags=["image", "face", "identifier"], category="image", version="1.0.1"
+ "face_identifier", title="FaceIdentifier", tags=["image", "face", "identifier"], category="image", version="1.0.2"
)
class FaceIdentifierInvocation(BaseInvocation):
"""Outputs an image with detected face IDs printed on each face. For use with other FaceTools."""
diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py
index 0301768219..3a4f4eadac 100644
--- a/invokeai/app/invocations/image.py
+++ b/invokeai/app/invocations/image.py
@@ -9,10 +9,10 @@ from PIL import Image, ImageChops, ImageFilter, ImageOps
from invokeai.app.invocations.metadata import CoreMetadata
from invokeai.app.invocations.primitives import BoardField, ColorField, ImageField, ImageOutput
+from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
from invokeai.backend.image_util.invisible_watermark import InvisibleWatermark
from invokeai.backend.image_util.safety_checker import SafetyChecker
-from ..models.image import ImageCategory, ResourceOrigin
from .baseinvocation import BaseInvocation, FieldDescriptions, Input, InputField, InvocationContext, invocation
@@ -36,7 +36,13 @@ class ShowImageInvocation(BaseInvocation):
)
-@invocation("blank_image", title="Blank Image", tags=["image"], category="image", version="1.0.0")
+@invocation(
+ "blank_image",
+ title="Blank Image",
+ tags=["image"],
+ category="image",
+ version="1.0.0",
+)
class BlankImageInvocation(BaseInvocation):
"""Creates a blank image and forwards it to the pipeline"""
@@ -65,7 +71,13 @@ class BlankImageInvocation(BaseInvocation):
)
-@invocation("img_crop", title="Crop Image", tags=["image", "crop"], category="image", version="1.0.0")
+@invocation(
+ "img_crop",
+ title="Crop Image",
+ tags=["image", "crop"],
+ category="image",
+ version="1.0.0",
+)
class ImageCropInvocation(BaseInvocation):
"""Crops an image to a specified box. The box can be outside of the image."""
@@ -98,7 +110,13 @@ class ImageCropInvocation(BaseInvocation):
)
-@invocation("img_paste", title="Paste Image", tags=["image", "paste"], category="image", version="1.0.1")
+@invocation(
+ "img_paste",
+ title="Paste Image",
+ tags=["image", "paste"],
+ category="image",
+ version="1.0.1",
+)
class ImagePasteInvocation(BaseInvocation):
"""Pastes an image into another image."""
@@ -151,7 +169,13 @@ class ImagePasteInvocation(BaseInvocation):
)
-@invocation("tomask", title="Mask from Alpha", tags=["image", "mask"], category="image", version="1.0.0")
+@invocation(
+ "tomask",
+ title="Mask from Alpha",
+ tags=["image", "mask"],
+ category="image",
+ version="1.0.0",
+)
class MaskFromAlphaInvocation(BaseInvocation):
"""Extracts the alpha channel of an image as a mask."""
@@ -182,7 +206,13 @@ class MaskFromAlphaInvocation(BaseInvocation):
)
-@invocation("img_mul", title="Multiply Images", tags=["image", "multiply"], category="image", version="1.0.0")
+@invocation(
+ "img_mul",
+ title="Multiply Images",
+ tags=["image", "multiply"],
+ category="image",
+ version="1.0.0",
+)
class ImageMultiplyInvocation(BaseInvocation):
"""Multiplies two images together using `PIL.ImageChops.multiply()`."""
@@ -215,7 +245,13 @@ class ImageMultiplyInvocation(BaseInvocation):
IMAGE_CHANNELS = Literal["A", "R", "G", "B"]
-@invocation("img_chan", title="Extract Image Channel", tags=["image", "channel"], category="image", version="1.0.0")
+@invocation(
+ "img_chan",
+ title="Extract Image Channel",
+ tags=["image", "channel"],
+ category="image",
+ version="1.0.0",
+)
class ImageChannelInvocation(BaseInvocation):
"""Gets a channel from an image."""
@@ -247,7 +283,13 @@ class ImageChannelInvocation(BaseInvocation):
IMAGE_MODES = Literal["L", "RGB", "RGBA", "CMYK", "YCbCr", "LAB", "HSV", "I", "F"]
-@invocation("img_conv", title="Convert Image Mode", tags=["image", "convert"], category="image", version="1.0.0")
+@invocation(
+ "img_conv",
+ title="Convert Image Mode",
+ tags=["image", "convert"],
+ category="image",
+ version="1.0.0",
+)
class ImageConvertInvocation(BaseInvocation):
"""Converts an image to a different mode."""
@@ -276,7 +318,13 @@ class ImageConvertInvocation(BaseInvocation):
)
-@invocation("img_blur", title="Blur Image", tags=["image", "blur"], category="image", version="1.0.0")
+@invocation(
+ "img_blur",
+ title="Blur Image",
+ tags=["image", "blur"],
+ category="image",
+ version="1.0.0",
+)
class ImageBlurInvocation(BaseInvocation):
"""Blurs an image"""
@@ -330,7 +378,13 @@ PIL_RESAMPLING_MAP = {
}
-@invocation("img_resize", title="Resize Image", tags=["image", "resize"], category="image", version="1.0.0")
+@invocation(
+ "img_resize",
+ title="Resize Image",
+ tags=["image", "resize"],
+ category="image",
+ version="1.0.0",
+)
class ImageResizeInvocation(BaseInvocation):
"""Resizes an image to specific dimensions"""
@@ -359,7 +413,7 @@ class ImageResizeInvocation(BaseInvocation):
node_id=self.id,
session_id=context.graph_execution_state_id,
is_intermediate=self.is_intermediate,
- metadata=self.metadata.dict() if self.metadata else None,
+ metadata=self.metadata.model_dump() if self.metadata else None,
workflow=self.workflow,
)
@@ -370,7 +424,13 @@ class ImageResizeInvocation(BaseInvocation):
)
-@invocation("img_scale", title="Scale Image", tags=["image", "scale"], category="image", version="1.0.0")
+@invocation(
+ "img_scale",
+ title="Scale Image",
+ tags=["image", "scale"],
+ category="image",
+ version="1.0.0",
+)
class ImageScaleInvocation(BaseInvocation):
"""Scales an image by a factor"""
@@ -411,7 +471,13 @@ class ImageScaleInvocation(BaseInvocation):
)
-@invocation("img_lerp", title="Lerp Image", tags=["image", "lerp"], category="image", version="1.0.0")
+@invocation(
+ "img_lerp",
+ title="Lerp Image",
+ tags=["image", "lerp"],
+ category="image",
+ version="1.0.0",
+)
class ImageLerpInvocation(BaseInvocation):
"""Linear interpolation of all pixels of an image"""
@@ -444,7 +510,13 @@ class ImageLerpInvocation(BaseInvocation):
)
-@invocation("img_ilerp", title="Inverse Lerp Image", tags=["image", "ilerp"], category="image", version="1.0.0")
+@invocation(
+ "img_ilerp",
+ title="Inverse Lerp Image",
+ tags=["image", "ilerp"],
+ category="image",
+ version="1.0.0",
+)
class ImageInverseLerpInvocation(BaseInvocation):
"""Inverse linear interpolation of all pixels of an image"""
@@ -456,7 +528,7 @@ class ImageInverseLerpInvocation(BaseInvocation):
image = context.services.images.get_pil_image(self.image.image_name)
image_arr = numpy.asarray(image, dtype=numpy.float32)
- image_arr = numpy.minimum(numpy.maximum(image_arr - self.min, 0) / float(self.max - self.min), 1) * 255
+ image_arr = numpy.minimum(numpy.maximum(image_arr - self.min, 0) / float(self.max - self.min), 1) * 255 # type: ignore [assignment]
ilerp_image = Image.fromarray(numpy.uint8(image_arr))
@@ -477,7 +549,13 @@ class ImageInverseLerpInvocation(BaseInvocation):
)
-@invocation("img_nsfw", title="Blur NSFW Image", tags=["image", "nsfw"], category="image", version="1.0.0")
+@invocation(
+ "img_nsfw",
+ title="Blur NSFW Image",
+ tags=["image", "nsfw"],
+ category="image",
+ version="1.0.0",
+)
class ImageNSFWBlurInvocation(BaseInvocation):
"""Add blur to NSFW-flagged images"""
@@ -505,7 +583,7 @@ class ImageNSFWBlurInvocation(BaseInvocation):
node_id=self.id,
session_id=context.graph_execution_state_id,
is_intermediate=self.is_intermediate,
- metadata=self.metadata.dict() if self.metadata else None,
+ metadata=self.metadata.model_dump() if self.metadata else None,
workflow=self.workflow,
)
@@ -515,7 +593,7 @@ class ImageNSFWBlurInvocation(BaseInvocation):
height=image_dto.height,
)
- def _get_caution_img(self) -> Image:
+ def _get_caution_img(self) -> Image.Image:
import invokeai.app.assets.images as image_assets
caution = Image.open(Path(image_assets.__path__[0]) / "caution.png")
@@ -523,7 +601,11 @@ class ImageNSFWBlurInvocation(BaseInvocation):
@invocation(
- "img_watermark", title="Add Invisible Watermark", tags=["image", "watermark"], category="image", version="1.0.0"
+ "img_watermark",
+ title="Add Invisible Watermark",
+ tags=["image", "watermark"],
+ category="image",
+ version="1.0.0",
)
class ImageWatermarkInvocation(BaseInvocation):
"""Add an invisible watermark to an image"""
@@ -544,7 +626,7 @@ class ImageWatermarkInvocation(BaseInvocation):
node_id=self.id,
session_id=context.graph_execution_state_id,
is_intermediate=self.is_intermediate,
- metadata=self.metadata.dict() if self.metadata else None,
+ metadata=self.metadata.model_dump() if self.metadata else None,
workflow=self.workflow,
)
@@ -555,7 +637,13 @@ class ImageWatermarkInvocation(BaseInvocation):
)
-@invocation("mask_edge", title="Mask Edge", tags=["image", "mask", "inpaint"], category="image", version="1.0.0")
+@invocation(
+ "mask_edge",
+ title="Mask Edge",
+ tags=["image", "mask", "inpaint"],
+ category="image",
+ version="1.0.0",
+)
class MaskEdgeInvocation(BaseInvocation):
"""Applies an edge mask to an image"""
@@ -601,7 +689,11 @@ class MaskEdgeInvocation(BaseInvocation):
@invocation(
- "mask_combine", title="Combine Masks", tags=["image", "mask", "multiply"], category="image", version="1.0.0"
+ "mask_combine",
+ title="Combine Masks",
+ tags=["image", "mask", "multiply"],
+ category="image",
+ version="1.0.0",
)
class MaskCombineInvocation(BaseInvocation):
"""Combine two masks together by multiplying them using `PIL.ImageChops.multiply()`."""
@@ -632,7 +724,13 @@ class MaskCombineInvocation(BaseInvocation):
)
-@invocation("color_correct", title="Color Correct", tags=["image", "color"], category="image", version="1.0.0")
+@invocation(
+ "color_correct",
+ title="Color Correct",
+ tags=["image", "color"],
+ category="image",
+ version="1.0.0",
+)
class ColorCorrectInvocation(BaseInvocation):
"""
Shifts the colors of a target image to match the reference image, optionally
@@ -742,7 +840,13 @@ class ColorCorrectInvocation(BaseInvocation):
)
-@invocation("img_hue_adjust", title="Adjust Image Hue", tags=["image", "hue"], category="image", version="1.0.0")
+@invocation(
+ "img_hue_adjust",
+ title="Adjust Image Hue",
+ tags=["image", "hue"],
+ category="image",
+ version="1.0.0",
+)
class ImageHueAdjustmentInvocation(BaseInvocation):
"""Adjusts the Hue of an image."""
@@ -980,7 +1084,7 @@ class SaveImageInvocation(BaseInvocation):
image: ImageField = InputField(description=FieldDescriptions.image)
board: Optional[BoardField] = InputField(default=None, description=FieldDescriptions.board, input=Input.Direct)
- metadata: CoreMetadata = InputField(
+ metadata: Optional[CoreMetadata] = InputField(
default=None,
description=FieldDescriptions.core_metadata,
ui_hidden=True,
@@ -997,7 +1101,7 @@ class SaveImageInvocation(BaseInvocation):
node_id=self.id,
session_id=context.graph_execution_state_id,
is_intermediate=self.is_intermediate,
- metadata=self.metadata.dict() if self.metadata else None,
+ metadata=self.metadata.model_dump() if self.metadata else None,
workflow=self.workflow,
)
diff --git a/invokeai/app/invocations/infill.py b/invokeai/app/invocations/infill.py
index e703b4ab41..d8384290f3 100644
--- a/invokeai/app/invocations/infill.py
+++ b/invokeai/app/invocations/infill.py
@@ -7,12 +7,12 @@ import numpy as np
from PIL import Image, ImageOps
from invokeai.app.invocations.primitives import ColorField, ImageField, ImageOutput
+from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
from invokeai.app.util.misc import SEED_MAX, get_random_seed
from invokeai.backend.image_util.cv2_inpaint import cv2_inpaint
from invokeai.backend.image_util.lama import LaMA
from invokeai.backend.image_util.patchmatch import PatchMatch
-from ..models.image import ImageCategory, ResourceOrigin
from .baseinvocation import BaseInvocation, InputField, InvocationContext, invocation
from .image import PIL_RESAMPLING_MAP, PIL_RESAMPLING_MODES
diff --git a/invokeai/app/invocations/ip_adapter.py b/invokeai/app/invocations/ip_adapter.py
index 3e3a3d9b1f..81fd1f9f5d 100644
--- a/invokeai/app/invocations/ip_adapter.py
+++ b/invokeai/app/invocations/ip_adapter.py
@@ -2,7 +2,7 @@ import os
from builtins import float
from typing import List, Union
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
from invokeai.app.invocations.baseinvocation import (
BaseInvocation,
@@ -25,11 +25,15 @@ class IPAdapterModelField(BaseModel):
model_name: str = Field(description="Name of the IP-Adapter model")
base_model: BaseModelType = Field(description="Base model")
+ model_config = ConfigDict(protected_namespaces=())
+
class CLIPVisionModelField(BaseModel):
model_name: str = Field(description="Name of the CLIP Vision image encoder model")
base_model: BaseModelType = Field(description="Base model (usually 'Any')")
+ model_config = ConfigDict(protected_namespaces=())
+
class IPAdapterField(BaseModel):
image: ImageField = Field(description="The IP-Adapter image prompt.")
diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py
index 077f6135da..917f0e13e8 100644
--- a/invokeai/app/invocations/latent.py
+++ b/invokeai/app/invocations/latent.py
@@ -19,7 +19,7 @@ from diffusers.models.attention_processor import (
)
from diffusers.schedulers import DPMSolverSDEScheduler
from diffusers.schedulers import SchedulerMixin as Scheduler
-from pydantic import validator
+from pydantic import field_validator
from torchvision.transforms.functional import resize as tv_resize
from invokeai.app.invocations.ip_adapter import IPAdapterField
@@ -34,6 +34,7 @@ from invokeai.app.invocations.primitives import (
build_latents_output,
)
from invokeai.app.invocations.t2i_adapter import T2IAdapterField
+from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
from invokeai.app.util.controlnet_utils import prepare_control_image
from invokeai.app.util.step_callback import stable_diffusion_step_callback
from invokeai.backend.ip_adapter.ip_adapter import IPAdapter, IPAdapterPlus
@@ -54,7 +55,6 @@ from ...backend.stable_diffusion.diffusers_pipeline import (
from ...backend.stable_diffusion.diffusion.shared_invokeai_diffusion import PostprocessingSettings
from ...backend.stable_diffusion.schedulers import SCHEDULER_MAP
from ...backend.util.devices import choose_precision, choose_torch_device
-from ..models.image import ImageCategory, ResourceOrigin
from .baseinvocation import (
BaseInvocation,
BaseInvocationOutput,
@@ -84,12 +84,20 @@ class SchedulerOutput(BaseInvocationOutput):
scheduler: SAMPLER_NAME_VALUES = OutputField(description=FieldDescriptions.scheduler, ui_type=UIType.Scheduler)
-@invocation("scheduler", title="Scheduler", tags=["scheduler"], category="latents", version="1.0.0")
+@invocation(
+ "scheduler",
+ title="Scheduler",
+ tags=["scheduler"],
+ category="latents",
+ version="1.0.0",
+)
class SchedulerInvocation(BaseInvocation):
"""Selects a scheduler."""
scheduler: SAMPLER_NAME_VALUES = InputField(
- default="euler", description=FieldDescriptions.scheduler, ui_type=UIType.Scheduler
+ default="euler",
+ description=FieldDescriptions.scheduler,
+ ui_type=UIType.Scheduler,
)
def invoke(self, context: InvocationContext) -> SchedulerOutput:
@@ -97,7 +105,11 @@ class SchedulerInvocation(BaseInvocation):
@invocation(
- "create_denoise_mask", title="Create Denoise Mask", tags=["mask", "denoise"], category="latents", version="1.0.0"
+ "create_denoise_mask",
+ title="Create Denoise Mask",
+ tags=["mask", "denoise"],
+ category="latents",
+ version="1.0.0",
)
class CreateDenoiseMaskInvocation(BaseInvocation):
"""Creates mask for denoising model run."""
@@ -106,7 +118,11 @@ class CreateDenoiseMaskInvocation(BaseInvocation):
image: Optional[ImageField] = InputField(default=None, description="Image which will be masked", ui_order=1)
mask: ImageField = InputField(description="The mask to use when pasting", ui_order=2)
tiled: bool = InputField(default=False, description=FieldDescriptions.tiled, ui_order=3)
- fp32: bool = InputField(default=DEFAULT_PRECISION == "float32", description=FieldDescriptions.fp32, ui_order=4)
+ fp32: bool = InputField(
+ default=DEFAULT_PRECISION == "float32",
+ description=FieldDescriptions.fp32,
+ ui_order=4,
+ )
def prep_mask_tensor(self, mask_image):
if mask_image.mode != "L":
@@ -134,7 +150,7 @@ class CreateDenoiseMaskInvocation(BaseInvocation):
if image is not None:
vae_info = context.services.model_manager.get_model(
- **self.vae.vae.dict(),
+ **self.vae.vae.model_dump(),
context=context,
)
@@ -167,7 +183,7 @@ def get_scheduler(
) -> Scheduler:
scheduler_class, scheduler_extra_config = SCHEDULER_MAP.get(scheduler_name, SCHEDULER_MAP["ddim"])
orig_scheduler_info = context.services.model_manager.get_model(
- **scheduler_info.dict(),
+ **scheduler_info.model_dump(),
context=context,
)
with orig_scheduler_info as orig_scheduler:
@@ -209,34 +225,64 @@ class DenoiseLatentsInvocation(BaseInvocation):
negative_conditioning: ConditioningField = InputField(
description=FieldDescriptions.negative_cond, input=Input.Connection, ui_order=1
)
- noise: Optional[LatentsField] = InputField(description=FieldDescriptions.noise, input=Input.Connection, ui_order=3)
+ noise: Optional[LatentsField] = InputField(
+ default=None,
+ description=FieldDescriptions.noise,
+ input=Input.Connection,
+ ui_order=3,
+ )
steps: int = InputField(default=10, gt=0, description=FieldDescriptions.steps)
cfg_scale: Union[float, List[float]] = InputField(
default=7.5, ge=1, description=FieldDescriptions.cfg_scale, title="CFG Scale"
)
- denoising_start: float = InputField(default=0.0, ge=0, le=1, description=FieldDescriptions.denoising_start)
+ denoising_start: float = InputField(
+ default=0.0,
+ ge=0,
+ le=1,
+ description=FieldDescriptions.denoising_start,
+ )
denoising_end: float = InputField(default=1.0, ge=0, le=1, description=FieldDescriptions.denoising_end)
scheduler: SAMPLER_NAME_VALUES = InputField(
- default="euler", description=FieldDescriptions.scheduler, ui_type=UIType.Scheduler
+ default="euler",
+ description=FieldDescriptions.scheduler,
+ ui_type=UIType.Scheduler,
)
- unet: UNetField = InputField(description=FieldDescriptions.unet, input=Input.Connection, title="UNet", ui_order=2)
- control: Union[ControlField, list[ControlField]] = InputField(
+ unet: UNetField = InputField(
+ description=FieldDescriptions.unet,
+ input=Input.Connection,
+ title="UNet",
+ ui_order=2,
+ )
+ control: Optional[Union[ControlField, list[ControlField]]] = InputField(
default=None,
input=Input.Connection,
ui_order=5,
)
ip_adapter: Optional[Union[IPAdapterField, list[IPAdapterField]]] = InputField(
- description=FieldDescriptions.ip_adapter, title="IP-Adapter", default=None, input=Input.Connection, ui_order=6
+ description=FieldDescriptions.ip_adapter,
+ title="IP-Adapter",
+ default=None,
+ input=Input.Connection,
+ ui_order=6,
)
- t2i_adapter: Union[T2IAdapterField, list[T2IAdapterField]] = InputField(
- description=FieldDescriptions.t2i_adapter, title="T2I-Adapter", default=None, input=Input.Connection, ui_order=7
+ t2i_adapter: Optional[Union[T2IAdapterField, list[T2IAdapterField]]] = InputField(
+ description=FieldDescriptions.t2i_adapter,
+ title="T2I-Adapter",
+ default=None,
+ input=Input.Connection,
+ ui_order=7,
+ )
+ latents: Optional[LatentsField] = InputField(
+ default=None, description=FieldDescriptions.latents, input=Input.Connection
)
- latents: Optional[LatentsField] = InputField(description=FieldDescriptions.latents, input=Input.Connection)
denoise_mask: Optional[DenoiseMaskField] = InputField(
- default=None, description=FieldDescriptions.mask, input=Input.Connection, ui_order=8
+ default=None,
+ description=FieldDescriptions.mask,
+ input=Input.Connection,
+ ui_order=8,
)
- @validator("cfg_scale")
+ @field_validator("cfg_scale")
def ge_one(cls, v):
"""validate that all cfg_scale values are >= 1"""
if isinstance(v, list):
@@ -259,7 +305,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
stable_diffusion_step_callback(
context=context,
intermediate_state=intermediate_state,
- node=self.dict(),
+ node=self.model_dump(),
source_node_id=source_node_id,
base_model=base_model,
)
@@ -451,9 +497,10 @@ class DenoiseLatentsInvocation(BaseInvocation):
# models are needed in memory. This would help to reduce peak memory utilization in low-memory environments.
with image_encoder_model_info as image_encoder_model:
# Get image embeddings from CLIP and ImageProjModel.
- image_prompt_embeds, uncond_image_prompt_embeds = ip_adapter_model.get_image_embeds(
- input_image, image_encoder_model
- )
+ (
+ image_prompt_embeds,
+ uncond_image_prompt_embeds,
+ ) = ip_adapter_model.get_image_embeds(input_image, image_encoder_model)
conditioning_data.ip_adapter_conditioning.append(
IPAdapterConditioningInfo(image_prompt_embeds, uncond_image_prompt_embeds)
)
@@ -628,7 +675,10 @@ class DenoiseLatentsInvocation(BaseInvocation):
# TODO(ryand): I have hard-coded `do_classifier_free_guidance=True` to mirror the behaviour of ControlNets,
# below. Investigate whether this is appropriate.
t2i_adapter_data = self.run_t2i_adapters(
- context, self.t2i_adapter, latents.shape, do_classifier_free_guidance=True
+ context,
+ self.t2i_adapter,
+ latents.shape,
+ do_classifier_free_guidance=True,
)
# Get the source node id (we are invoking the prepared node)
@@ -641,7 +691,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
def _lora_loader():
for lora in self.unet.loras:
lora_info = context.services.model_manager.get_model(
- **lora.dict(exclude={"weight"}),
+ **lora.model_dump(exclude={"weight"}),
context=context,
)
yield (lora_info.context.model, lora.weight)
@@ -649,7 +699,7 @@ class DenoiseLatentsInvocation(BaseInvocation):
return
unet_info = context.services.model_manager.get_model(
- **self.unet.unet.dict(),
+ **self.unet.unet.model_dump(),
context=context,
)
with (
@@ -701,7 +751,10 @@ class DenoiseLatentsInvocation(BaseInvocation):
denoising_end=self.denoising_end,
)
- result_latents, result_attention_map_saver = pipeline.latents_from_embeddings(
+ (
+ result_latents,
+ result_attention_map_saver,
+ ) = pipeline.latents_from_embeddings(
latents=latents,
timesteps=timesteps,
init_timestep=init_timestep,
@@ -729,7 +782,11 @@ class DenoiseLatentsInvocation(BaseInvocation):
@invocation(
- "l2i", title="Latents to Image", tags=["latents", "image", "vae", "l2i"], category="latents", version="1.0.0"
+ "l2i",
+ title="Latents to Image",
+ tags=["latents", "image", "vae", "l2i"],
+ category="latents",
+ version="1.0.0",
)
class LatentsToImageInvocation(BaseInvocation):
"""Generates an image from latents."""
@@ -744,7 +801,7 @@ class LatentsToImageInvocation(BaseInvocation):
)
tiled: bool = InputField(default=False, description=FieldDescriptions.tiled)
fp32: bool = InputField(default=DEFAULT_PRECISION == "float32", description=FieldDescriptions.fp32)
- metadata: CoreMetadata = InputField(
+ metadata: Optional[CoreMetadata] = InputField(
default=None,
description=FieldDescriptions.core_metadata,
ui_hidden=True,
@@ -755,7 +812,7 @@ class LatentsToImageInvocation(BaseInvocation):
latents = context.services.latents.get(self.latents.latents_name)
vae_info = context.services.model_manager.get_model(
- **self.vae.vae.dict(),
+ **self.vae.vae.model_dump(),
context=context,
)
@@ -817,7 +874,7 @@ class LatentsToImageInvocation(BaseInvocation):
node_id=self.id,
session_id=context.graph_execution_state_id,
is_intermediate=self.is_intermediate,
- metadata=self.metadata.dict() if self.metadata else None,
+ metadata=self.metadata.model_dump() if self.metadata else None,
workflow=self.workflow,
)
@@ -831,7 +888,13 @@ class LatentsToImageInvocation(BaseInvocation):
LATENTS_INTERPOLATION_MODE = Literal["nearest", "linear", "bilinear", "bicubic", "trilinear", "area", "nearest-exact"]
-@invocation("lresize", title="Resize Latents", tags=["latents", "resize"], category="latents", version="1.0.0")
+@invocation(
+ "lresize",
+ title="Resize Latents",
+ tags=["latents", "resize"],
+ category="latents",
+ version="1.0.0",
+)
class ResizeLatentsInvocation(BaseInvocation):
"""Resizes latents to explicit width/height (in pixels). Provided dimensions are floor-divided by 8."""
@@ -877,7 +940,13 @@ class ResizeLatentsInvocation(BaseInvocation):
return build_latents_output(latents_name=name, latents=resized_latents, seed=self.latents.seed)
-@invocation("lscale", title="Scale Latents", tags=["latents", "resize"], category="latents", version="1.0.0")
+@invocation(
+ "lscale",
+ title="Scale Latents",
+ tags=["latents", "resize"],
+ category="latents",
+ version="1.0.0",
+)
class ScaleLatentsInvocation(BaseInvocation):
"""Scales latents by a given factor."""
@@ -916,7 +985,11 @@ class ScaleLatentsInvocation(BaseInvocation):
@invocation(
- "i2l", title="Image to Latents", tags=["latents", "image", "vae", "i2l"], category="latents", version="1.0.0"
+ "i2l",
+ title="Image to Latents",
+ tags=["latents", "image", "vae", "i2l"],
+ category="latents",
+ version="1.0.0",
)
class ImageToLatentsInvocation(BaseInvocation):
"""Encodes an image into latents."""
@@ -980,7 +1053,7 @@ class ImageToLatentsInvocation(BaseInvocation):
image = context.services.images.get_pil_image(self.image.image_name)
vae_info = context.services.model_manager.get_model(
- **self.vae.vae.dict(),
+ **self.vae.vae.model_dump(),
context=context,
)
@@ -1008,7 +1081,13 @@ class ImageToLatentsInvocation(BaseInvocation):
return vae.encode(image_tensor).latents
-@invocation("lblend", title="Blend Latents", tags=["latents", "blend"], category="latents", version="1.0.0")
+@invocation(
+ "lblend",
+ title="Blend Latents",
+ tags=["latents", "blend"],
+ category="latents",
+ version="1.0.0",
+)
class BlendLatentsInvocation(BaseInvocation):
"""Blend two latents using a given alpha. Latents must have same size."""
diff --git a/invokeai/app/invocations/math.py b/invokeai/app/invocations/math.py
index b52cbb28bf..2aefa1def4 100644
--- a/invokeai/app/invocations/math.py
+++ b/invokeai/app/invocations/math.py
@@ -3,7 +3,7 @@
from typing import Literal
import numpy as np
-from pydantic import validator
+from pydantic import field_validator
from invokeai.app.invocations.primitives import FloatOutput, IntegerOutput
@@ -72,7 +72,14 @@ class RandomIntInvocation(BaseInvocation):
return IntegerOutput(value=np.random.randint(self.low, self.high))
-@invocation("rand_float", title="Random Float", tags=["math", "float", "random"], category="math", version="1.0.0")
+@invocation(
+ "rand_float",
+ title="Random Float",
+ tags=["math", "float", "random"],
+ category="math",
+ version="1.0.1",
+ use_cache=False,
+)
class RandomFloatInvocation(BaseInvocation):
"""Outputs a single random float"""
@@ -178,7 +185,7 @@ class IntegerMathInvocation(BaseInvocation):
a: int = InputField(default=0, description=FieldDescriptions.num_1)
b: int = InputField(default=0, description=FieldDescriptions.num_2)
- @validator("b")
+ @field_validator("b")
def no_unrepresentable_results(cls, v, values):
if values["operation"] == "DIV" and v == 0:
raise ValueError("Cannot divide by zero")
@@ -252,7 +259,7 @@ class FloatMathInvocation(BaseInvocation):
a: float = InputField(default=0, description=FieldDescriptions.num_1)
b: float = InputField(default=0, description=FieldDescriptions.num_2)
- @validator("b")
+ @field_validator("b")
def no_unrepresentable_results(cls, v, values):
if values["operation"] == "DIV" and v == 0:
raise ValueError("Cannot divide by zero")
diff --git a/invokeai/app/invocations/metadata.py b/invokeai/app/invocations/metadata.py
index 54e385feb3..4d76926aaa 100644
--- a/invokeai/app/invocations/metadata.py
+++ b/invokeai/app/invocations/metadata.py
@@ -44,28 +44,31 @@ class CoreMetadata(BaseModelExcludeNull):
"""Core generation metadata for an image generated in InvokeAI."""
app_version: str = Field(default=__version__, description="The version of InvokeAI used to generate this image")
- generation_mode: str = Field(
+ generation_mode: Optional[str] = Field(
+ default=None,
description="The generation mode that output this image",
)
- created_by: Optional[str] = Field(description="The name of the creator of the image")
- positive_prompt: str = Field(description="The positive prompt parameter")
- negative_prompt: str = Field(description="The negative prompt parameter")
- width: int = Field(description="The width parameter")
- height: int = Field(description="The height parameter")
- seed: int = Field(description="The seed used for noise generation")
- rand_device: str = Field(description="The device used for random number generation")
- cfg_scale: float = Field(description="The classifier-free guidance scale parameter")
- steps: int = Field(description="The number of steps used for inference")
- scheduler: str = Field(description="The scheduler used for inference")
+ created_by: Optional[str] = Field(default=None, description="The name of the creator of the image")
+ positive_prompt: Optional[str] = Field(default=None, description="The positive prompt parameter")
+ negative_prompt: Optional[str] = Field(default=None, description="The negative prompt parameter")
+ width: Optional[int] = Field(default=None, description="The width parameter")
+ height: Optional[int] = Field(default=None, description="The height parameter")
+ seed: Optional[int] = Field(default=None, description="The seed used for noise generation")
+ rand_device: Optional[str] = Field(default=None, description="The device used for random number generation")
+ cfg_scale: Optional[float] = Field(default=None, description="The classifier-free guidance scale parameter")
+ steps: Optional[int] = Field(default=None, description="The number of steps used for inference")
+ scheduler: Optional[str] = Field(default=None, description="The scheduler used for inference")
clip_skip: Optional[int] = Field(
default=None,
description="The number of skipped CLIP layers",
)
- model: MainModelField = Field(description="The main model used for inference")
- controlnets: list[ControlField] = Field(description="The ControlNets used for inference")
- ipAdapters: list[IPAdapterMetadataField] = Field(description="The IP Adapters used for inference")
- t2iAdapters: list[T2IAdapterField] = Field(description="The IP Adapters used for inference")
- loras: list[LoRAMetadataField] = Field(description="The LoRAs used for inference")
+ model: Optional[MainModelField] = Field(default=None, description="The main model used for inference")
+ controlnets: Optional[list[ControlField]] = Field(default=None, description="The ControlNets used for inference")
+ ipAdapters: Optional[list[IPAdapterMetadataField]] = Field(
+ default=None, description="The IP Adapters used for inference"
+ )
+ t2iAdapters: Optional[list[T2IAdapterField]] = Field(default=None, description="The IP Adapters used for inference")
+ loras: Optional[list[LoRAMetadataField]] = Field(default=None, description="The LoRAs used for inference")
vae: Optional[VAEModelField] = Field(
default=None,
description="The VAE used for decoding, if the main model's default was not used",
@@ -122,27 +125,34 @@ class MetadataAccumulatorOutput(BaseInvocationOutput):
class MetadataAccumulatorInvocation(BaseInvocation):
"""Outputs a Core Metadata Object"""
- generation_mode: str = InputField(
+ generation_mode: Optional[str] = InputField(
+ default=None,
description="The generation mode that output this image",
)
- positive_prompt: str = InputField(description="The positive prompt parameter")
- negative_prompt: str = InputField(description="The negative prompt parameter")
- width: int = InputField(description="The width parameter")
- height: int = InputField(description="The height parameter")
- seed: int = InputField(description="The seed used for noise generation")
- rand_device: str = InputField(description="The device used for random number generation")
- cfg_scale: float = InputField(description="The classifier-free guidance scale parameter")
- steps: int = InputField(description="The number of steps used for inference")
- scheduler: str = InputField(description="The scheduler used for inference")
- clip_skip: Optional[int] = Field(
+ positive_prompt: Optional[str] = InputField(default=None, description="The positive prompt parameter")
+ negative_prompt: Optional[str] = InputField(default=None, description="The negative prompt parameter")
+ width: Optional[int] = InputField(default=None, description="The width parameter")
+ height: Optional[int] = InputField(default=None, description="The height parameter")
+ seed: Optional[int] = InputField(default=None, description="The seed used for noise generation")
+ rand_device: Optional[str] = InputField(default=None, description="The device used for random number generation")
+ cfg_scale: Optional[float] = InputField(default=None, description="The classifier-free guidance scale parameter")
+ steps: Optional[int] = InputField(default=None, description="The number of steps used for inference")
+ scheduler: Optional[str] = InputField(default=None, description="The scheduler used for inference")
+ clip_skip: Optional[int] = InputField(
default=None,
description="The number of skipped CLIP layers",
)
- model: MainModelField = InputField(description="The main model used for inference")
- controlnets: list[ControlField] = InputField(description="The ControlNets used for inference")
- ipAdapters: list[IPAdapterMetadataField] = InputField(description="The IP Adapters used for inference")
- t2iAdapters: list[T2IAdapterField] = Field(description="The IP Adapters used for inference")
- loras: list[LoRAMetadataField] = InputField(description="The LoRAs used for inference")
+ model: Optional[MainModelField] = InputField(default=None, description="The main model used for inference")
+ controlnets: Optional[list[ControlField]] = InputField(
+ default=None, description="The ControlNets used for inference"
+ )
+ ipAdapters: Optional[list[IPAdapterMetadataField]] = InputField(
+ default=None, description="The IP Adapters used for inference"
+ )
+ t2iAdapters: Optional[list[T2IAdapterField]] = InputField(
+ default=None, description="The IP Adapters used for inference"
+ )
+ loras: Optional[list[LoRAMetadataField]] = InputField(default=None, description="The LoRAs used for inference")
strength: Optional[float] = InputField(
default=None,
description="The strength used for latents-to-latents",
@@ -156,6 +166,20 @@ class MetadataAccumulatorInvocation(BaseInvocation):
description="The VAE used for decoding, if the main model's default was not used",
)
+ # High resolution fix metadata.
+ hrf_width: Optional[int] = InputField(
+ default=None,
+ description="The high resolution fix height and width multipler.",
+ )
+ hrf_height: Optional[int] = InputField(
+ default=None,
+ description="The high resolution fix height and width multipler.",
+ )
+ hrf_strength: Optional[float] = InputField(
+ default=None,
+ description="The high resolution fix img2img strength used in the upscale pass.",
+ )
+
# SDXL
positive_style_prompt: Optional[str] = InputField(
default=None,
@@ -199,4 +223,4 @@ class MetadataAccumulatorInvocation(BaseInvocation):
def invoke(self, context: InvocationContext) -> MetadataAccumulatorOutput:
"""Collects and outputs a CoreMetadata object"""
- return MetadataAccumulatorOutput(metadata=CoreMetadata(**self.dict()))
+ return MetadataAccumulatorOutput(metadata=CoreMetadata(**self.model_dump()))
diff --git a/invokeai/app/invocations/model.py b/invokeai/app/invocations/model.py
index 625d848bce..32815191c2 100644
--- a/invokeai/app/invocations/model.py
+++ b/invokeai/app/invocations/model.py
@@ -1,7 +1,7 @@
import copy
from typing import List, Optional
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
from invokeai.app.invocations.shared import FreeUConfig
@@ -26,6 +26,8 @@ class ModelInfo(BaseModel):
model_type: ModelType = Field(description="Info to load submodel")
submodel: Optional[SubModelType] = Field(default=None, description="Info to load submodel")
+ model_config = ConfigDict(protected_namespaces=())
+
class LoraInfo(ModelInfo):
weight: float = Field(description="Lora's weight which to use when apply to model")
@@ -87,6 +89,8 @@ class MainModelField(BaseModel):
base_model: BaseModelType = Field(description="Base model")
model_type: ModelType = Field(description="Model Type")
+ model_config = ConfigDict(protected_namespaces=())
+
class LoRAModelField(BaseModel):
"""LoRA model field"""
@@ -94,8 +98,16 @@ class LoRAModelField(BaseModel):
model_name: str = Field(description="Name of the LoRA model")
base_model: BaseModelType = Field(description="Base model")
+ model_config = ConfigDict(protected_namespaces=())
-@invocation("main_model_loader", title="Main Model", tags=["model"], category="model", version="1.0.0")
+
+@invocation(
+ "main_model_loader",
+ title="Main Model",
+ tags=["model"],
+ category="model",
+ version="1.0.0",
+)
class MainModelLoaderInvocation(BaseInvocation):
"""Loads a main model, outputting its submodels."""
@@ -202,10 +214,16 @@ class LoraLoaderInvocation(BaseInvocation):
lora: LoRAModelField = InputField(description=FieldDescriptions.lora_model, input=Input.Direct, title="LoRA")
weight: float = InputField(default=0.75, description=FieldDescriptions.lora_weight)
unet: Optional[UNetField] = InputField(
- default=None, description=FieldDescriptions.unet, input=Input.Connection, title="UNet"
+ default=None,
+ description=FieldDescriptions.unet,
+ input=Input.Connection,
+ title="UNet",
)
clip: Optional[ClipField] = InputField(
- default=None, description=FieldDescriptions.clip, input=Input.Connection, title="CLIP"
+ default=None,
+ description=FieldDescriptions.clip,
+ input=Input.Connection,
+ title="CLIP",
)
def invoke(self, context: InvocationContext) -> LoraLoaderOutput:
@@ -266,20 +284,35 @@ class SDXLLoraLoaderOutput(BaseInvocationOutput):
clip2: Optional[ClipField] = OutputField(default=None, description=FieldDescriptions.clip, title="CLIP 2")
-@invocation("sdxl_lora_loader", title="SDXL LoRA", tags=["lora", "model"], category="model", version="1.0.0")
+@invocation(
+ "sdxl_lora_loader",
+ title="SDXL LoRA",
+ tags=["lora", "model"],
+ category="model",
+ version="1.0.0",
+)
class SDXLLoraLoaderInvocation(BaseInvocation):
"""Apply selected lora to unet and text_encoder."""
lora: LoRAModelField = InputField(description=FieldDescriptions.lora_model, input=Input.Direct, title="LoRA")
weight: float = InputField(default=0.75, description=FieldDescriptions.lora_weight)
unet: Optional[UNetField] = InputField(
- default=None, description=FieldDescriptions.unet, input=Input.Connection, title="UNet"
+ default=None,
+ description=FieldDescriptions.unet,
+ input=Input.Connection,
+ title="UNet",
)
clip: Optional[ClipField] = InputField(
- default=None, description=FieldDescriptions.clip, input=Input.Connection, title="CLIP 1"
+ default=None,
+ description=FieldDescriptions.clip,
+ input=Input.Connection,
+ title="CLIP 1",
)
clip2: Optional[ClipField] = InputField(
- default=None, description=FieldDescriptions.clip, input=Input.Connection, title="CLIP 2"
+ default=None,
+ description=FieldDescriptions.clip,
+ input=Input.Connection,
+ title="CLIP 2",
)
def invoke(self, context: InvocationContext) -> SDXLLoraLoaderOutput:
@@ -352,13 +385,18 @@ class VAEModelField(BaseModel):
model_name: str = Field(description="Name of the model")
base_model: BaseModelType = Field(description="Base model")
+ model_config = ConfigDict(protected_namespaces=())
+
@invocation("vae_loader", title="VAE", tags=["vae", "model"], category="model", version="1.0.0")
class VaeLoaderInvocation(BaseInvocation):
"""Loads a VAE model, outputting a VaeLoaderOutput"""
vae_model: VAEModelField = InputField(
- description=FieldDescriptions.vae_model, input=Input.Direct, ui_type=UIType.VaeModel, title="VAE"
+ description=FieldDescriptions.vae_model,
+ input=Input.Direct,
+ ui_type=UIType.VaeModel,
+ title="VAE",
)
def invoke(self, context: InvocationContext) -> VAEOutput:
@@ -387,19 +425,31 @@ class VaeLoaderInvocation(BaseInvocation):
class SeamlessModeOutput(BaseInvocationOutput):
"""Modified Seamless Model output"""
- unet: Optional[UNetField] = OutputField(description=FieldDescriptions.unet, title="UNet")
- vae: Optional[VaeField] = OutputField(description=FieldDescriptions.vae, title="VAE")
+ unet: Optional[UNetField] = OutputField(default=None, description=FieldDescriptions.unet, title="UNet")
+ vae: Optional[VaeField] = OutputField(default=None, description=FieldDescriptions.vae, title="VAE")
-@invocation("seamless", title="Seamless", tags=["seamless", "model"], category="model", version="1.0.0")
+@invocation(
+ "seamless",
+ title="Seamless",
+ tags=["seamless", "model"],
+ category="model",
+ version="1.0.0",
+)
class SeamlessModeInvocation(BaseInvocation):
"""Applies the seamless transformation to the Model UNet and VAE."""
unet: Optional[UNetField] = InputField(
- default=None, description=FieldDescriptions.unet, input=Input.Connection, title="UNet"
+ default=None,
+ description=FieldDescriptions.unet,
+ input=Input.Connection,
+ title="UNet",
)
vae: Optional[VaeField] = InputField(
- default=None, description=FieldDescriptions.vae_model, input=Input.Connection, title="VAE"
+ default=None,
+ description=FieldDescriptions.vae_model,
+ input=Input.Connection,
+ title="VAE",
)
seamless_y: bool = InputField(default=True, input=Input.Any, description="Specify whether Y axis is seamless")
seamless_x: bool = InputField(default=True, input=Input.Any, description="Specify whether X axis is seamless")
diff --git a/invokeai/app/invocations/noise.py b/invokeai/app/invocations/noise.py
index c46747aa89..3c1651a2f0 100644
--- a/invokeai/app/invocations/noise.py
+++ b/invokeai/app/invocations/noise.py
@@ -2,7 +2,7 @@
import torch
-from pydantic import validator
+from pydantic import field_validator
from invokeai.app.invocations.latent import LatentsField
from invokeai.app.util.misc import SEED_MAX, get_random_seed
@@ -65,7 +65,7 @@ Nodes
class NoiseOutput(BaseInvocationOutput):
"""Invocation noise output"""
- noise: LatentsField = OutputField(default=None, description=FieldDescriptions.noise)
+ noise: LatentsField = OutputField(description=FieldDescriptions.noise)
width: int = OutputField(description=FieldDescriptions.width)
height: int = OutputField(description=FieldDescriptions.height)
@@ -78,7 +78,13 @@ def build_noise_output(latents_name: str, latents: torch.Tensor, seed: int):
)
-@invocation("noise", title="Noise", tags=["latents", "noise"], category="latents", version="1.0.0")
+@invocation(
+ "noise",
+ title="Noise",
+ tags=["latents", "noise"],
+ category="latents",
+ version="1.0.0",
+)
class NoiseInvocation(BaseInvocation):
"""Generates latent noise."""
@@ -105,7 +111,7 @@ class NoiseInvocation(BaseInvocation):
description="Use CPU for noise generation (for reproducible results across platforms)",
)
- @validator("seed", pre=True)
+ @field_validator("seed", mode="before")
def modulo_seed(cls, v):
"""Returns the seed modulo (SEED_MAX + 1) to ensure it is within the valid range."""
return v % (SEED_MAX + 1)
diff --git a/invokeai/app/invocations/onnx.py b/invokeai/app/invocations/onnx.py
index 1d531d45a2..3f4f688cf4 100644
--- a/invokeai/app/invocations/onnx.py
+++ b/invokeai/app/invocations/onnx.py
@@ -9,18 +9,18 @@ from typing import List, Literal, Optional, Union
import numpy as np
import torch
from diffusers.image_processor import VaeImageProcessor
-from pydantic import BaseModel, Field, validator
+from pydantic import BaseModel, ConfigDict, Field, field_validator
from tqdm import tqdm
from invokeai.app.invocations.metadata import CoreMetadata
from invokeai.app.invocations.primitives import ConditioningField, ConditioningOutput, ImageField, ImageOutput
+from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
from invokeai.app.util.step_callback import stable_diffusion_step_callback
from invokeai.backend import BaseModelType, ModelType, SubModelType
from ...backend.model_management import ONNXModelPatcher
from ...backend.stable_diffusion import PipelineIntermediateState
from ...backend.util import choose_torch_device
-from ..models.image import ImageCategory, ResourceOrigin
from .baseinvocation import (
BaseInvocation,
BaseInvocationOutput,
@@ -63,14 +63,17 @@ class ONNXPromptInvocation(BaseInvocation):
def invoke(self, context: InvocationContext) -> ConditioningOutput:
tokenizer_info = context.services.model_manager.get_model(
- **self.clip.tokenizer.dict(),
+ **self.clip.tokenizer.model_dump(),
)
text_encoder_info = context.services.model_manager.get_model(
- **self.clip.text_encoder.dict(),
+ **self.clip.text_encoder.model_dump(),
)
with tokenizer_info as orig_tokenizer, text_encoder_info as text_encoder: # , ExitStack() as stack:
loras = [
- (context.services.model_manager.get_model(**lora.dict(exclude={"weight"})).context.model, lora.weight)
+ (
+ context.services.model_manager.get_model(**lora.model_dump(exclude={"weight"})).context.model,
+ lora.weight,
+ )
for lora in self.clip.loras
]
@@ -175,14 +178,14 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
description=FieldDescriptions.unet,
input=Input.Connection,
)
- control: Optional[Union[ControlField, list[ControlField]]] = InputField(
+ control: Union[ControlField, list[ControlField]] = InputField(
default=None,
description=FieldDescriptions.control,
)
# seamless: bool = InputField(default=False, description="Whether or not to generate an image that can tile without seams", )
# seamless_axes: str = InputField(default="", description="The axes to tile the image on, 'x' and/or 'y'")
- @validator("cfg_scale")
+ @field_validator("cfg_scale")
def ge_one(cls, v):
"""validate that all cfg_scale values are >= 1"""
if isinstance(v, list):
@@ -241,7 +244,7 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
stable_diffusion_step_callback(
context=context,
intermediate_state=intermediate_state,
- node=self.dict(),
+ node=self.model_dump(),
source_node_id=source_node_id,
)
@@ -254,12 +257,15 @@ class ONNXTextToLatentsInvocation(BaseInvocation):
eta=0.0,
)
- unet_info = context.services.model_manager.get_model(**self.unet.unet.dict())
+ unet_info = context.services.model_manager.get_model(**self.unet.unet.model_dump())
with unet_info as unet: # , ExitStack() as stack:
# loras = [(stack.enter_context(context.services.model_manager.get_model(**lora.dict(exclude={"weight"}))), lora.weight) for lora in self.unet.loras]
loras = [
- (context.services.model_manager.get_model(**lora.dict(exclude={"weight"})).context.model, lora.weight)
+ (
+ context.services.model_manager.get_model(**lora.model_dump(exclude={"weight"})).context.model,
+ lora.weight,
+ )
for lora in self.unet.loras
]
@@ -346,7 +352,7 @@ class ONNXLatentsToImageInvocation(BaseInvocation):
raise Exception(f"Expected vae_decoder, found: {self.vae.vae.model_type}")
vae_info = context.services.model_manager.get_model(
- **self.vae.vae.dict(),
+ **self.vae.vae.model_dump(),
)
# clear memory as vae decode can request a lot
@@ -375,7 +381,7 @@ class ONNXLatentsToImageInvocation(BaseInvocation):
node_id=self.id,
session_id=context.graph_execution_state_id,
is_intermediate=self.is_intermediate,
- metadata=self.metadata.dict() if self.metadata else None,
+ metadata=self.metadata.model_dump() if self.metadata else None,
workflow=self.workflow,
)
@@ -403,6 +409,8 @@ class OnnxModelField(BaseModel):
base_model: BaseModelType = Field(description="Base model")
model_type: ModelType = Field(description="Model Type")
+ model_config = ConfigDict(protected_namespaces=())
+
@invocation("onnx_model_loader", title="ONNX Main Model", tags=["onnx", "model"], category="model", version="1.0.0")
class OnnxModelLoaderInvocation(BaseInvocation):
diff --git a/invokeai/app/invocations/param_easing.py b/invokeai/app/invocations/param_easing.py
index 7c327a6657..0e86fb978b 100644
--- a/invokeai/app/invocations/param_easing.py
+++ b/invokeai/app/invocations/param_easing.py
@@ -44,13 +44,22 @@ from invokeai.app.invocations.primitives import FloatCollectionOutput
from .baseinvocation import BaseInvocation, InputField, InvocationContext, invocation
-@invocation("float_range", title="Float Range", tags=["math", "range"], category="math", version="1.0.0")
+@invocation(
+ "float_range",
+ title="Float Range",
+ tags=["math", "range"],
+ category="math",
+ version="1.0.0",
+)
class FloatLinearRangeInvocation(BaseInvocation):
"""Creates a range"""
start: float = InputField(default=5, description="The first value of the range")
stop: float = InputField(default=10, description="The last value of the range")
- steps: int = InputField(default=30, description="number of values to interpolate over (including start and stop)")
+ steps: int = InputField(
+ default=30,
+ description="number of values to interpolate over (including start and stop)",
+ )
def invoke(self, context: InvocationContext) -> FloatCollectionOutput:
param_list = list(np.linspace(self.start, self.stop, self.steps))
@@ -95,7 +104,13 @@ EASING_FUNCTION_KEYS = Literal[tuple(list(EASING_FUNCTIONS_MAP.keys()))]
# actually I think for now could just use CollectionOutput (which is list[Any]
-@invocation("step_param_easing", title="Step Param Easing", tags=["step", "easing"], category="step", version="1.0.0")
+@invocation(
+ "step_param_easing",
+ title="Step Param Easing",
+ tags=["step", "easing"],
+ category="step",
+ version="1.0.0",
+)
class StepParamEasingInvocation(BaseInvocation):
"""Experimental per-step parameter easing for denoising steps"""
@@ -159,7 +174,9 @@ class StepParamEasingInvocation(BaseInvocation):
context.services.logger.debug("base easing duration: " + str(base_easing_duration))
even_num_steps = num_easing_steps % 2 == 0 # even number of steps
easing_function = easing_class(
- start=self.start_value, end=self.end_value, duration=base_easing_duration - 1
+ start=self.start_value,
+ end=self.end_value,
+ duration=base_easing_duration - 1,
)
base_easing_vals = list()
for step_index in range(base_easing_duration):
@@ -199,7 +216,11 @@ class StepParamEasingInvocation(BaseInvocation):
#
else: # no mirroring (default)
- easing_function = easing_class(start=self.start_value, end=self.end_value, duration=num_easing_steps - 1)
+ easing_function = easing_class(
+ start=self.start_value,
+ end=self.end_value,
+ duration=num_easing_steps - 1,
+ )
for step_index in range(num_easing_steps):
step_val = easing_function.ease(step_index)
easing_list.append(step_val)
diff --git a/invokeai/app/invocations/prompt.py b/invokeai/app/invocations/prompt.py
index b3d482b779..cb43a52447 100644
--- a/invokeai/app/invocations/prompt.py
+++ b/invokeai/app/invocations/prompt.py
@@ -3,7 +3,7 @@ from typing import Optional, Union
import numpy as np
from dynamicprompts.generators import CombinatorialPromptGenerator, RandomPromptGenerator
-from pydantic import validator
+from pydantic import field_validator
from invokeai.app.invocations.primitives import StringCollectionOutput
@@ -21,7 +21,10 @@ from .baseinvocation import BaseInvocation, InputField, InvocationContext, UICom
class DynamicPromptInvocation(BaseInvocation):
"""Parses a prompt using adieyal/dynamicprompts' random or combinatorial generator"""
- prompt: str = InputField(description="The prompt to parse with dynamicprompts", ui_component=UIComponent.Textarea)
+ prompt: str = InputField(
+ description="The prompt to parse with dynamicprompts",
+ ui_component=UIComponent.Textarea,
+ )
max_prompts: int = InputField(default=1, description="The number of prompts to generate")
combinatorial: bool = InputField(default=False, description="Whether to use the combinatorial generator")
@@ -36,21 +39,31 @@ class DynamicPromptInvocation(BaseInvocation):
return StringCollectionOutput(collection=prompts)
-@invocation("prompt_from_file", title="Prompts from File", tags=["prompt", "file"], category="prompt", version="1.0.0")
+@invocation(
+ "prompt_from_file",
+ title="Prompts from File",
+ tags=["prompt", "file"],
+ category="prompt",
+ version="1.0.0",
+)
class PromptsFromFileInvocation(BaseInvocation):
"""Loads prompts from a text file"""
file_path: str = InputField(description="Path to prompt text file")
pre_prompt: Optional[str] = InputField(
- default=None, description="String to prepend to each prompt", ui_component=UIComponent.Textarea
+ default=None,
+ description="String to prepend to each prompt",
+ ui_component=UIComponent.Textarea,
)
post_prompt: Optional[str] = InputField(
- default=None, description="String to append to each prompt", ui_component=UIComponent.Textarea
+ default=None,
+ description="String to append to each prompt",
+ ui_component=UIComponent.Textarea,
)
start_line: int = InputField(default=1, ge=1, description="Line in the file to start start from")
max_prompts: int = InputField(default=1, ge=0, description="Max lines to read from file (0=all)")
- @validator("file_path")
+ @field_validator("file_path")
def file_path_exists(cls, v):
if not exists(v):
raise ValueError(FileNotFoundError)
@@ -79,6 +92,10 @@ class PromptsFromFileInvocation(BaseInvocation):
def invoke(self, context: InvocationContext) -> StringCollectionOutput:
prompts = self.promptsFromFile(
- self.file_path, self.pre_prompt, self.post_prompt, self.start_line, self.max_prompts
+ self.file_path,
+ self.pre_prompt,
+ self.post_prompt,
+ self.start_line,
+ self.max_prompts,
)
return StringCollectionOutput(collection=prompts)
diff --git a/invokeai/app/invocations/t2i_adapter.py b/invokeai/app/invocations/t2i_adapter.py
index e1bd8d0d04..76c250a552 100644
--- a/invokeai/app/invocations/t2i_adapter.py
+++ b/invokeai/app/invocations/t2i_adapter.py
@@ -1,6 +1,6 @@
from typing import Union
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
from invokeai.app.invocations.baseinvocation import (
BaseInvocation,
@@ -23,6 +23,8 @@ class T2IAdapterModelField(BaseModel):
model_name: str = Field(description="Name of the T2I-Adapter model")
base_model: BaseModelType = Field(description="Base model")
+ model_config = ConfigDict(protected_namespaces=())
+
class T2IAdapterField(BaseModel):
image: ImageField = Field(description="The T2I-Adapter image prompt.")
diff --git a/invokeai/app/invocations/upscale.py b/invokeai/app/invocations/upscale.py
index a1f3d2691a..d30bb71d95 100644
--- a/invokeai/app/invocations/upscale.py
+++ b/invokeai/app/invocations/upscale.py
@@ -7,10 +7,11 @@ import numpy as np
import torch
from basicsr.archs.rrdbnet_arch import RRDBNet
from PIL import Image
+from pydantic import ConfigDict
from realesrgan import RealESRGANer
from invokeai.app.invocations.primitives import ImageField, ImageOutput
-from invokeai.app.models.image import ImageCategory, ResourceOrigin
+from invokeai.app.services.image_records.image_records_common import ImageCategory, ResourceOrigin
from invokeai.backend.util.devices import choose_torch_device
from .baseinvocation import BaseInvocation, InputField, InvocationContext, invocation
@@ -38,6 +39,8 @@ class ESRGANInvocation(BaseInvocation):
default=400, ge=0, description="Tile size for tiled ESRGAN upscaling (0=tiling disabled)"
)
+ model_config = ConfigDict(protected_namespaces=())
+
def invoke(self, context: InvocationContext) -> ImageOutput:
image = context.services.images.get_pil_image(self.image.image_name)
models_path = context.services.configuration.models_path
diff --git a/invokeai/app/models/exceptions.py b/invokeai/app/models/exceptions.py
deleted file mode 100644
index 662e1948ce..0000000000
--- a/invokeai/app/models/exceptions.py
+++ /dev/null
@@ -1,4 +0,0 @@
-class CanceledException(Exception):
- """Execution canceled by user."""
-
- pass
diff --git a/invokeai/app/models/image.py b/invokeai/app/models/image.py
deleted file mode 100644
index 88cf8af5f9..0000000000
--- a/invokeai/app/models/image.py
+++ /dev/null
@@ -1,71 +0,0 @@
-from enum import Enum
-
-from pydantic import BaseModel, Field
-
-from invokeai.app.util.metaenum import MetaEnum
-
-
-class ProgressImage(BaseModel):
- """The progress image sent intermittently during processing"""
-
- width: int = Field(description="The effective width of the image in pixels")
- height: int = Field(description="The effective height of the image in pixels")
- dataURL: str = Field(description="The image data as a b64 data URL")
-
-
-class ResourceOrigin(str, Enum, metaclass=MetaEnum):
- """The origin of a resource (eg image).
-
- - INTERNAL: The resource was created by the application.
- - EXTERNAL: The resource was not created by the application.
- This may be a user-initiated upload, or an internal application upload (eg Canvas init image).
- """
-
- INTERNAL = "internal"
- """The resource was created by the application."""
- EXTERNAL = "external"
- """The resource was not created by the application.
- This may be a user-initiated upload, or an internal application upload (eg Canvas init image).
- """
-
-
-class InvalidOriginException(ValueError):
- """Raised when a provided value is not a valid ResourceOrigin.
-
- Subclasses `ValueError`.
- """
-
- def __init__(self, message="Invalid resource origin."):
- super().__init__(message)
-
-
-class ImageCategory(str, Enum, metaclass=MetaEnum):
- """The category of an image.
-
- - GENERAL: The image is an output, init image, or otherwise an image without a specialized purpose.
- - MASK: The image is a mask image.
- - CONTROL: The image is a ControlNet control image.
- - USER: The image is a user-provide image.
- - OTHER: The image is some other type of image with a specialized purpose. To be used by external nodes.
- """
-
- GENERAL = "general"
- """GENERAL: The image is an output, init image, or otherwise an image without a specialized purpose."""
- MASK = "mask"
- """MASK: The image is a mask image."""
- CONTROL = "control"
- """CONTROL: The image is a ControlNet control image."""
- USER = "user"
- """USER: The image is a user-provide image."""
- OTHER = "other"
- """OTHER: The image is some other type of image with a specialized purpose. To be used by external nodes."""
-
-
-class InvalidImageCategoryException(ValueError):
- """Raised when a provided value is not a valid ImageCategory.
-
- Subclasses `ValueError`.
- """
-
- def __init__(self, message="Invalid image category."):
- super().__init__(message)
diff --git a/invokeai/app/models/__init__.py b/invokeai/app/services/board_image_records/__init__.py
similarity index 100%
rename from invokeai/app/models/__init__.py
rename to invokeai/app/services/board_image_records/__init__.py
diff --git a/invokeai/app/services/board_image_records/board_image_records_base.py b/invokeai/app/services/board_image_records/board_image_records_base.py
new file mode 100644
index 0000000000..c8f7b35908
--- /dev/null
+++ b/invokeai/app/services/board_image_records/board_image_records_base.py
@@ -0,0 +1,47 @@
+from abc import ABC, abstractmethod
+from typing import Optional
+
+
+class BoardImageRecordStorageBase(ABC):
+ """Abstract base class for the one-to-many board-image relationship record storage."""
+
+ @abstractmethod
+ def add_image_to_board(
+ self,
+ board_id: str,
+ image_name: str,
+ ) -> None:
+ """Adds an image to a board."""
+ pass
+
+ @abstractmethod
+ def remove_image_from_board(
+ self,
+ image_name: str,
+ ) -> None:
+ """Removes an image from a board."""
+ pass
+
+ @abstractmethod
+ def get_all_board_image_names_for_board(
+ self,
+ board_id: str,
+ ) -> list[str]:
+ """Gets all board images for a board, as a list of the image names."""
+ pass
+
+ @abstractmethod
+ def get_board_for_image(
+ self,
+ image_name: str,
+ ) -> Optional[str]:
+ """Gets an image's board id, if it has one."""
+ pass
+
+ @abstractmethod
+ def get_image_count_for_board(
+ self,
+ board_id: str,
+ ) -> int:
+ """Gets the number of images for a board."""
+ pass
diff --git a/invokeai/app/services/board_image_record_storage.py b/invokeai/app/services/board_image_records/board_image_records_sqlite.py
similarity index 80%
rename from invokeai/app/services/board_image_record_storage.py
rename to invokeai/app/services/board_image_records/board_image_records_sqlite.py
index c4d06ec131..9f4e4379bc 100644
--- a/invokeai/app/services/board_image_record_storage.py
+++ b/invokeai/app/services/board_image_records/board_image_records_sqlite.py
@@ -1,69 +1,24 @@
import sqlite3
import threading
-from abc import ABC, abstractmethod
from typing import Optional, cast
-from invokeai.app.services.image_record_storage import OffsetPaginatedResults
-from invokeai.app.services.models.image_record import ImageRecord, deserialize_image_record
+from invokeai.app.services.image_records.image_records_common import ImageRecord, deserialize_image_record
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+from invokeai.app.services.shared.sqlite import SqliteDatabase
-
-class BoardImageRecordStorageBase(ABC):
- """Abstract base class for the one-to-many board-image relationship record storage."""
-
- @abstractmethod
- def add_image_to_board(
- self,
- board_id: str,
- image_name: str,
- ) -> None:
- """Adds an image to a board."""
- pass
-
- @abstractmethod
- def remove_image_from_board(
- self,
- image_name: str,
- ) -> None:
- """Removes an image from a board."""
- pass
-
- @abstractmethod
- def get_all_board_image_names_for_board(
- self,
- board_id: str,
- ) -> list[str]:
- """Gets all board images for a board, as a list of the image names."""
- pass
-
- @abstractmethod
- def get_board_for_image(
- self,
- image_name: str,
- ) -> Optional[str]:
- """Gets an image's board id, if it has one."""
- pass
-
- @abstractmethod
- def get_image_count_for_board(
- self,
- board_id: str,
- ) -> int:
- """Gets the number of images for a board."""
- pass
+from .board_image_records_base import BoardImageRecordStorageBase
class SqliteBoardImageRecordStorage(BoardImageRecordStorageBase):
_conn: sqlite3.Connection
_cursor: sqlite3.Cursor
- _lock: threading.Lock
+ _lock: threading.RLock
- def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None:
+ def __init__(self, db: SqliteDatabase) -> None:
super().__init__()
- self._conn = conn
- # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
- self._conn.row_factory = sqlite3.Row
+ self._lock = db.lock
+ self._conn = db.conn
self._cursor = self._conn.cursor()
- self._lock = lock
try:
self._lock.acquire()
diff --git a/invokeai/app/services/board_images.py b/invokeai/app/services/board_images.py
deleted file mode 100644
index 788722ec37..0000000000
--- a/invokeai/app/services/board_images.py
+++ /dev/null
@@ -1,112 +0,0 @@
-from abc import ABC, abstractmethod
-from logging import Logger
-from typing import Optional
-
-from invokeai.app.services.board_image_record_storage import BoardImageRecordStorageBase
-from invokeai.app.services.board_record_storage import BoardRecord, BoardRecordStorageBase
-from invokeai.app.services.image_record_storage import ImageRecordStorageBase
-from invokeai.app.services.models.board_record import BoardDTO
-from invokeai.app.services.urls import UrlServiceBase
-
-
-class BoardImagesServiceABC(ABC):
- """High-level service for board-image relationship management."""
-
- @abstractmethod
- def add_image_to_board(
- self,
- board_id: str,
- image_name: str,
- ) -> None:
- """Adds an image to a board."""
- pass
-
- @abstractmethod
- def remove_image_from_board(
- self,
- image_name: str,
- ) -> None:
- """Removes an image from a board."""
- pass
-
- @abstractmethod
- def get_all_board_image_names_for_board(
- self,
- board_id: str,
- ) -> list[str]:
- """Gets all board images for a board, as a list of the image names."""
- pass
-
- @abstractmethod
- def get_board_for_image(
- self,
- image_name: str,
- ) -> Optional[str]:
- """Gets an image's board id, if it has one."""
- pass
-
-
-class BoardImagesServiceDependencies:
- """Service dependencies for the BoardImagesService."""
-
- board_image_records: BoardImageRecordStorageBase
- board_records: BoardRecordStorageBase
- image_records: ImageRecordStorageBase
- urls: UrlServiceBase
- logger: Logger
-
- def __init__(
- self,
- board_image_record_storage: BoardImageRecordStorageBase,
- image_record_storage: ImageRecordStorageBase,
- board_record_storage: BoardRecordStorageBase,
- url: UrlServiceBase,
- logger: Logger,
- ):
- self.board_image_records = board_image_record_storage
- self.image_records = image_record_storage
- self.board_records = board_record_storage
- self.urls = url
- self.logger = logger
-
-
-class BoardImagesService(BoardImagesServiceABC):
- _services: BoardImagesServiceDependencies
-
- def __init__(self, services: BoardImagesServiceDependencies):
- self._services = services
-
- def add_image_to_board(
- self,
- board_id: str,
- image_name: str,
- ) -> None:
- self._services.board_image_records.add_image_to_board(board_id, image_name)
-
- def remove_image_from_board(
- self,
- image_name: str,
- ) -> None:
- self._services.board_image_records.remove_image_from_board(image_name)
-
- def get_all_board_image_names_for_board(
- self,
- board_id: str,
- ) -> list[str]:
- return self._services.board_image_records.get_all_board_image_names_for_board(board_id)
-
- def get_board_for_image(
- self,
- image_name: str,
- ) -> Optional[str]:
- board_id = self._services.board_image_records.get_board_for_image(image_name)
- return board_id
-
-
-def board_record_to_dto(board_record: BoardRecord, cover_image_name: Optional[str], image_count: int) -> BoardDTO:
- """Converts a board record to a board DTO."""
- return BoardDTO(
- **board_record.dict(exclude={"cover_image_name"}),
- cover_image_name=cover_image_name,
- image_count=image_count,
- )
diff --git a/invokeai/app/services/board_images/__init__.py b/invokeai/app/services/board_images/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/board_images/board_images_base.py b/invokeai/app/services/board_images/board_images_base.py
new file mode 100644
index 0000000000..356ff7068b
--- /dev/null
+++ b/invokeai/app/services/board_images/board_images_base.py
@@ -0,0 +1,39 @@
+from abc import ABC, abstractmethod
+from typing import Optional
+
+
+class BoardImagesServiceABC(ABC):
+ """High-level service for board-image relationship management."""
+
+ @abstractmethod
+ def add_image_to_board(
+ self,
+ board_id: str,
+ image_name: str,
+ ) -> None:
+ """Adds an image to a board."""
+ pass
+
+ @abstractmethod
+ def remove_image_from_board(
+ self,
+ image_name: str,
+ ) -> None:
+ """Removes an image from a board."""
+ pass
+
+ @abstractmethod
+ def get_all_board_image_names_for_board(
+ self,
+ board_id: str,
+ ) -> list[str]:
+ """Gets all board images for a board, as a list of the image names."""
+ pass
+
+ @abstractmethod
+ def get_board_for_image(
+ self,
+ image_name: str,
+ ) -> Optional[str]:
+ """Gets an image's board id, if it has one."""
+ pass
diff --git a/invokeai/app/services/models/board_image.py b/invokeai/app/services/board_images/board_images_common.py
similarity index 100%
rename from invokeai/app/services/models/board_image.py
rename to invokeai/app/services/board_images/board_images_common.py
diff --git a/invokeai/app/services/board_images/board_images_default.py b/invokeai/app/services/board_images/board_images_default.py
new file mode 100644
index 0000000000..85e478619c
--- /dev/null
+++ b/invokeai/app/services/board_images/board_images_default.py
@@ -0,0 +1,38 @@
+from typing import Optional
+
+from invokeai.app.services.invoker import Invoker
+
+from .board_images_base import BoardImagesServiceABC
+
+
+class BoardImagesService(BoardImagesServiceABC):
+ __invoker: Invoker
+
+ def start(self, invoker: Invoker) -> None:
+ self.__invoker = invoker
+
+ def add_image_to_board(
+ self,
+ board_id: str,
+ image_name: str,
+ ) -> None:
+ self.__invoker.services.board_image_records.add_image_to_board(board_id, image_name)
+
+ def remove_image_from_board(
+ self,
+ image_name: str,
+ ) -> None:
+ self.__invoker.services.board_image_records.remove_image_from_board(image_name)
+
+ def get_all_board_image_names_for_board(
+ self,
+ board_id: str,
+ ) -> list[str]:
+ return self.__invoker.services.board_image_records.get_all_board_image_names_for_board(board_id)
+
+ def get_board_for_image(
+ self,
+ image_name: str,
+ ) -> Optional[str]:
+ board_id = self.__invoker.services.board_image_records.get_board_for_image(image_name)
+ return board_id
diff --git a/invokeai/app/services/board_records/board_records_base.py b/invokeai/app/services/board_records/board_records_base.py
new file mode 100644
index 0000000000..30f819618a
--- /dev/null
+++ b/invokeai/app/services/board_records/board_records_base.py
@@ -0,0 +1,55 @@
+from abc import ABC, abstractmethod
+
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+
+from .board_records_common import BoardChanges, BoardRecord
+
+
+class BoardRecordStorageBase(ABC):
+ """Low-level service responsible for interfacing with the board record store."""
+
+ @abstractmethod
+ def delete(self, board_id: str) -> None:
+ """Deletes a board record."""
+ pass
+
+ @abstractmethod
+ def save(
+ self,
+ board_name: str,
+ ) -> BoardRecord:
+ """Saves a board record."""
+ pass
+
+ @abstractmethod
+ def get(
+ self,
+ board_id: str,
+ ) -> BoardRecord:
+ """Gets a board record."""
+ pass
+
+ @abstractmethod
+ def update(
+ self,
+ board_id: str,
+ changes: BoardChanges,
+ ) -> BoardRecord:
+ """Updates a board record."""
+ pass
+
+ @abstractmethod
+ def get_many(
+ self,
+ offset: int = 0,
+ limit: int = 10,
+ ) -> OffsetPaginatedResults[BoardRecord]:
+ """Gets many board records."""
+ pass
+
+ @abstractmethod
+ def get_all(
+ self,
+ ) -> list[BoardRecord]:
+ """Gets all board records."""
+ pass
diff --git a/invokeai/app/services/models/board_record.py b/invokeai/app/services/board_records/board_records_common.py
similarity index 59%
rename from invokeai/app/services/models/board_record.py
rename to invokeai/app/services/board_records/board_records_common.py
index 4b93d0ea23..d08951b499 100644
--- a/invokeai/app/services/models/board_record.py
+++ b/invokeai/app/services/board_records/board_records_common.py
@@ -1,7 +1,7 @@
from datetime import datetime
from typing import Optional, Union
-from pydantic import Field
+from pydantic import BaseModel, Field
from invokeai.app.util.misc import get_iso_timestamp
from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
@@ -18,21 +18,12 @@ class BoardRecord(BaseModelExcludeNull):
"""The created timestamp of the image."""
updated_at: Union[datetime, str] = Field(description="The updated timestamp of the board.")
"""The updated timestamp of the image."""
- deleted_at: Union[datetime, str, None] = Field(description="The deleted timestamp of the board.")
+ deleted_at: Optional[Union[datetime, str]] = Field(default=None, description="The deleted timestamp of the board.")
"""The updated timestamp of the image."""
- cover_image_name: Optional[str] = Field(description="The name of the cover image of the board.")
+ cover_image_name: Optional[str] = Field(default=None, description="The name of the cover image of the board.")
"""The name of the cover image of the board."""
-class BoardDTO(BoardRecord):
- """Deserialized board record with cover image URL and image count."""
-
- cover_image_name: Optional[str] = Field(description="The name of the board's cover image.")
- """The URL of the thumbnail of the most recent image in the board."""
- image_count: int = Field(description="The number of images in the board.")
- """The number of images in the board."""
-
-
def deserialize_board_record(board_dict: dict) -> BoardRecord:
"""Deserializes a board record."""
@@ -53,3 +44,29 @@ def deserialize_board_record(board_dict: dict) -> BoardRecord:
updated_at=updated_at,
deleted_at=deleted_at,
)
+
+
+class BoardChanges(BaseModel, extra="forbid"):
+ board_name: Optional[str] = Field(default=None, description="The board's new name.")
+ cover_image_name: Optional[str] = Field(default=None, description="The name of the board's new cover image.")
+
+
+class BoardRecordNotFoundException(Exception):
+ """Raised when an board record is not found."""
+
+ def __init__(self, message="Board record not found"):
+ super().__init__(message)
+
+
+class BoardRecordSaveException(Exception):
+ """Raised when an board record cannot be saved."""
+
+ def __init__(self, message="Board record not saved"):
+ super().__init__(message)
+
+
+class BoardRecordDeleteException(Exception):
+ """Raised when an board record cannot be deleted."""
+
+ def __init__(self, message="Board record not deleted"):
+ super().__init__(message)
diff --git a/invokeai/app/services/board_record_storage.py b/invokeai/app/services/board_records/board_records_sqlite.py
similarity index 73%
rename from invokeai/app/services/board_record_storage.py
rename to invokeai/app/services/board_records/board_records_sqlite.py
index c12a9c8eea..9e3423ab19 100644
--- a/invokeai/app/services/board_record_storage.py
+++ b/invokeai/app/services/board_records/board_records_sqlite.py
@@ -1,103 +1,32 @@
import sqlite3
import threading
-from abc import ABC, abstractmethod
-from typing import Optional, Union, cast
+from typing import Union, cast
-from pydantic import BaseModel, Extra, Field
-
-from invokeai.app.services.image_record_storage import OffsetPaginatedResults
-from invokeai.app.services.models.board_record import BoardRecord, deserialize_board_record
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+from invokeai.app.services.shared.sqlite import SqliteDatabase
from invokeai.app.util.misc import uuid_string
-
-class BoardChanges(BaseModel, extra=Extra.forbid):
- board_name: Optional[str] = Field(description="The board's new name.")
- cover_image_name: Optional[str] = Field(description="The name of the board's new cover image.")
-
-
-class BoardRecordNotFoundException(Exception):
- """Raised when an board record is not found."""
-
- def __init__(self, message="Board record not found"):
- super().__init__(message)
-
-
-class BoardRecordSaveException(Exception):
- """Raised when an board record cannot be saved."""
-
- def __init__(self, message="Board record not saved"):
- super().__init__(message)
-
-
-class BoardRecordDeleteException(Exception):
- """Raised when an board record cannot be deleted."""
-
- def __init__(self, message="Board record not deleted"):
- super().__init__(message)
-
-
-class BoardRecordStorageBase(ABC):
- """Low-level service responsible for interfacing with the board record store."""
-
- @abstractmethod
- def delete(self, board_id: str) -> None:
- """Deletes a board record."""
- pass
-
- @abstractmethod
- def save(
- self,
- board_name: str,
- ) -> BoardRecord:
- """Saves a board record."""
- pass
-
- @abstractmethod
- def get(
- self,
- board_id: str,
- ) -> BoardRecord:
- """Gets a board record."""
- pass
-
- @abstractmethod
- def update(
- self,
- board_id: str,
- changes: BoardChanges,
- ) -> BoardRecord:
- """Updates a board record."""
- pass
-
- @abstractmethod
- def get_many(
- self,
- offset: int = 0,
- limit: int = 10,
- ) -> OffsetPaginatedResults[BoardRecord]:
- """Gets many board records."""
- pass
-
- @abstractmethod
- def get_all(
- self,
- ) -> list[BoardRecord]:
- """Gets all board records."""
- pass
+from .board_records_base import BoardRecordStorageBase
+from .board_records_common import (
+ BoardChanges,
+ BoardRecord,
+ BoardRecordDeleteException,
+ BoardRecordNotFoundException,
+ BoardRecordSaveException,
+ deserialize_board_record,
+)
class SqliteBoardRecordStorage(BoardRecordStorageBase):
_conn: sqlite3.Connection
_cursor: sqlite3.Cursor
- _lock: threading.Lock
+ _lock: threading.RLock
- def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None:
+ def __init__(self, db: SqliteDatabase) -> None:
super().__init__()
- self._conn = conn
- # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
- self._conn.row_factory = sqlite3.Row
+ self._lock = db.lock
+ self._conn = db.conn
self._cursor = self._conn.cursor()
- self._lock = lock
try:
self._lock.acquire()
diff --git a/invokeai/app/services/boards.py b/invokeai/app/services/boards.py
deleted file mode 100644
index e7a516da65..0000000000
--- a/invokeai/app/services/boards.py
+++ /dev/null
@@ -1,158 +0,0 @@
-from abc import ABC, abstractmethod
-from logging import Logger
-
-from invokeai.app.services.board_image_record_storage import BoardImageRecordStorageBase
-from invokeai.app.services.board_images import board_record_to_dto
-from invokeai.app.services.board_record_storage import BoardChanges, BoardRecordStorageBase
-from invokeai.app.services.image_record_storage import ImageRecordStorageBase, OffsetPaginatedResults
-from invokeai.app.services.models.board_record import BoardDTO
-from invokeai.app.services.urls import UrlServiceBase
-
-
-class BoardServiceABC(ABC):
- """High-level service for board management."""
-
- @abstractmethod
- def create(
- self,
- board_name: str,
- ) -> BoardDTO:
- """Creates a board."""
- pass
-
- @abstractmethod
- def get_dto(
- self,
- board_id: str,
- ) -> BoardDTO:
- """Gets a board."""
- pass
-
- @abstractmethod
- def update(
- self,
- board_id: str,
- changes: BoardChanges,
- ) -> BoardDTO:
- """Updates a board."""
- pass
-
- @abstractmethod
- def delete(
- self,
- board_id: str,
- ) -> None:
- """Deletes a board."""
- pass
-
- @abstractmethod
- def get_many(
- self,
- offset: int = 0,
- limit: int = 10,
- ) -> OffsetPaginatedResults[BoardDTO]:
- """Gets many boards."""
- pass
-
- @abstractmethod
- def get_all(
- self,
- ) -> list[BoardDTO]:
- """Gets all boards."""
- pass
-
-
-class BoardServiceDependencies:
- """Service dependencies for the BoardService."""
-
- board_image_records: BoardImageRecordStorageBase
- board_records: BoardRecordStorageBase
- image_records: ImageRecordStorageBase
- urls: UrlServiceBase
- logger: Logger
-
- def __init__(
- self,
- board_image_record_storage: BoardImageRecordStorageBase,
- image_record_storage: ImageRecordStorageBase,
- board_record_storage: BoardRecordStorageBase,
- url: UrlServiceBase,
- logger: Logger,
- ):
- self.board_image_records = board_image_record_storage
- self.image_records = image_record_storage
- self.board_records = board_record_storage
- self.urls = url
- self.logger = logger
-
-
-class BoardService(BoardServiceABC):
- _services: BoardServiceDependencies
-
- def __init__(self, services: BoardServiceDependencies):
- self._services = services
-
- def create(
- self,
- board_name: str,
- ) -> BoardDTO:
- board_record = self._services.board_records.save(board_name)
- return board_record_to_dto(board_record, None, 0)
-
- def get_dto(self, board_id: str) -> BoardDTO:
- board_record = self._services.board_records.get(board_id)
- cover_image = self._services.image_records.get_most_recent_image_for_board(board_record.board_id)
- if cover_image:
- cover_image_name = cover_image.image_name
- else:
- cover_image_name = None
- image_count = self._services.board_image_records.get_image_count_for_board(board_id)
- return board_record_to_dto(board_record, cover_image_name, image_count)
-
- def update(
- self,
- board_id: str,
- changes: BoardChanges,
- ) -> BoardDTO:
- board_record = self._services.board_records.update(board_id, changes)
- cover_image = self._services.image_records.get_most_recent_image_for_board(board_record.board_id)
- if cover_image:
- cover_image_name = cover_image.image_name
- else:
- cover_image_name = None
-
- image_count = self._services.board_image_records.get_image_count_for_board(board_id)
- return board_record_to_dto(board_record, cover_image_name, image_count)
-
- def delete(self, board_id: str) -> None:
- self._services.board_records.delete(board_id)
-
- def get_many(self, offset: int = 0, limit: int = 10) -> OffsetPaginatedResults[BoardDTO]:
- board_records = self._services.board_records.get_many(offset, limit)
- board_dtos = []
- for r in board_records.items:
- cover_image = self._services.image_records.get_most_recent_image_for_board(r.board_id)
- if cover_image:
- cover_image_name = cover_image.image_name
- else:
- cover_image_name = None
-
- image_count = self._services.board_image_records.get_image_count_for_board(r.board_id)
- board_dtos.append(board_record_to_dto(r, cover_image_name, image_count))
-
- return OffsetPaginatedResults[BoardDTO](items=board_dtos, offset=offset, limit=limit, total=len(board_dtos))
-
- def get_all(self) -> list[BoardDTO]:
- board_records = self._services.board_records.get_all()
- board_dtos = []
- for r in board_records:
- cover_image = self._services.image_records.get_most_recent_image_for_board(r.board_id)
- if cover_image:
- cover_image_name = cover_image.image_name
- else:
- cover_image_name = None
-
- image_count = self._services.board_image_records.get_image_count_for_board(r.board_id)
- board_dtos.append(board_record_to_dto(r, cover_image_name, image_count))
-
- return board_dtos
diff --git a/invokeai/app/services/boards/__init__.py b/invokeai/app/services/boards/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/boards/boards_base.py b/invokeai/app/services/boards/boards_base.py
new file mode 100644
index 0000000000..6f90334d53
--- /dev/null
+++ b/invokeai/app/services/boards/boards_base.py
@@ -0,0 +1,59 @@
+from abc import ABC, abstractmethod
+
+from invokeai.app.services.board_records.board_records_common import BoardChanges
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+
+from .boards_common import BoardDTO
+
+
+class BoardServiceABC(ABC):
+ """High-level service for board management."""
+
+ @abstractmethod
+ def create(
+ self,
+ board_name: str,
+ ) -> BoardDTO:
+ """Creates a board."""
+ pass
+
+ @abstractmethod
+ def get_dto(
+ self,
+ board_id: str,
+ ) -> BoardDTO:
+ """Gets a board."""
+ pass
+
+ @abstractmethod
+ def update(
+ self,
+ board_id: str,
+ changes: BoardChanges,
+ ) -> BoardDTO:
+ """Updates a board."""
+ pass
+
+ @abstractmethod
+ def delete(
+ self,
+ board_id: str,
+ ) -> None:
+ """Deletes a board."""
+ pass
+
+ @abstractmethod
+ def get_many(
+ self,
+ offset: int = 0,
+ limit: int = 10,
+ ) -> OffsetPaginatedResults[BoardDTO]:
+ """Gets many boards."""
+ pass
+
+ @abstractmethod
+ def get_all(
+ self,
+ ) -> list[BoardDTO]:
+ """Gets all boards."""
+ pass
diff --git a/invokeai/app/services/boards/boards_common.py b/invokeai/app/services/boards/boards_common.py
new file mode 100644
index 0000000000..0cb54102bb
--- /dev/null
+++ b/invokeai/app/services/boards/boards_common.py
@@ -0,0 +1,23 @@
+from typing import Optional
+
+from pydantic import Field
+
+from ..board_records.board_records_common import BoardRecord
+
+
+class BoardDTO(BoardRecord):
+ """Deserialized board record with cover image URL and image count."""
+
+ cover_image_name: Optional[str] = Field(description="The name of the board's cover image.")
+ """The URL of the thumbnail of the most recent image in the board."""
+ image_count: int = Field(description="The number of images in the board.")
+ """The number of images in the board."""
+
+
+def board_record_to_dto(board_record: BoardRecord, cover_image_name: Optional[str], image_count: int) -> BoardDTO:
+ """Converts a board record to a board DTO."""
+ return BoardDTO(
+ **board_record.model_dump(exclude={"cover_image_name"}),
+ cover_image_name=cover_image_name,
+ image_count=image_count,
+ )
diff --git a/invokeai/app/services/boards/boards_default.py b/invokeai/app/services/boards/boards_default.py
new file mode 100644
index 0000000000..5b37d6c7ad
--- /dev/null
+++ b/invokeai/app/services/boards/boards_default.py
@@ -0,0 +1,79 @@
+from invokeai.app.services.board_records.board_records_common import BoardChanges
+from invokeai.app.services.boards.boards_common import BoardDTO
+from invokeai.app.services.invoker import Invoker
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+
+from .boards_base import BoardServiceABC
+from .boards_common import board_record_to_dto
+
+
+class BoardService(BoardServiceABC):
+ __invoker: Invoker
+
+ def start(self, invoker: Invoker) -> None:
+ self.__invoker = invoker
+
+ def create(
+ self,
+ board_name: str,
+ ) -> BoardDTO:
+ board_record = self.__invoker.services.board_records.save(board_name)
+ return board_record_to_dto(board_record, None, 0)
+
+ def get_dto(self, board_id: str) -> BoardDTO:
+ board_record = self.__invoker.services.board_records.get(board_id)
+ cover_image = self.__invoker.services.image_records.get_most_recent_image_for_board(board_record.board_id)
+ if cover_image:
+ cover_image_name = cover_image.image_name
+ else:
+ cover_image_name = None
+ image_count = self.__invoker.services.board_image_records.get_image_count_for_board(board_id)
+ return board_record_to_dto(board_record, cover_image_name, image_count)
+
+ def update(
+ self,
+ board_id: str,
+ changes: BoardChanges,
+ ) -> BoardDTO:
+ board_record = self.__invoker.services.board_records.update(board_id, changes)
+ cover_image = self.__invoker.services.image_records.get_most_recent_image_for_board(board_record.board_id)
+ if cover_image:
+ cover_image_name = cover_image.image_name
+ else:
+ cover_image_name = None
+
+ image_count = self.__invoker.services.board_image_records.get_image_count_for_board(board_id)
+ return board_record_to_dto(board_record, cover_image_name, image_count)
+
+ def delete(self, board_id: str) -> None:
+ self.__invoker.services.board_records.delete(board_id)
+
+ def get_many(self, offset: int = 0, limit: int = 10) -> OffsetPaginatedResults[BoardDTO]:
+ board_records = self.__invoker.services.board_records.get_many(offset, limit)
+ board_dtos = []
+ for r in board_records.items:
+ cover_image = self.__invoker.services.image_records.get_most_recent_image_for_board(r.board_id)
+ if cover_image:
+ cover_image_name = cover_image.image_name
+ else:
+ cover_image_name = None
+
+ image_count = self.__invoker.services.board_image_records.get_image_count_for_board(r.board_id)
+ board_dtos.append(board_record_to_dto(r, cover_image_name, image_count))
+
+ return OffsetPaginatedResults[BoardDTO](items=board_dtos, offset=offset, limit=limit, total=len(board_dtos))
+
+ def get_all(self) -> list[BoardDTO]:
+ board_records = self.__invoker.services.board_records.get_all()
+ board_dtos = []
+ for r in board_records:
+ cover_image = self.__invoker.services.image_records.get_most_recent_image_for_board(r.board_id)
+ if cover_image:
+ cover_image_name = cover_image.image_name
+ else:
+ cover_image_name = None
+
+ image_count = self.__invoker.services.board_image_records.get_image_count_for_board(r.board_id)
+ board_dtos.append(board_record_to_dto(r, cover_image_name, image_count))
+
+ return board_dtos
diff --git a/invokeai/app/services/config/__init__.py b/invokeai/app/services/config/__init__.py
index a404f33638..b9a92b03d2 100644
--- a/invokeai/app/services/config/__init__.py
+++ b/invokeai/app/services/config/__init__.py
@@ -2,5 +2,5 @@
Init file for InvokeAI configure package
"""
-from .base import PagingArgumentParser # noqa F401
-from .invokeai_config import InvokeAIAppConfig, get_invokeai_config # noqa F401
+from .config_base import PagingArgumentParser # noqa F401
+from .config_default import InvokeAIAppConfig, get_invokeai_config # noqa F401
diff --git a/invokeai/app/services/config/base.py b/invokeai/app/services/config/config_base.py
similarity index 79%
rename from invokeai/app/services/config/base.py
rename to invokeai/app/services/config/config_base.py
index f24879af05..9405c1dfae 100644
--- a/invokeai/app/services/config/base.py
+++ b/invokeai/app/services/config/config_base.py
@@ -12,25 +12,15 @@ from __future__ import annotations
import argparse
import os
-import pydoc
import sys
from argparse import ArgumentParser
from pathlib import Path
from typing import ClassVar, Dict, List, Literal, Optional, Union, get_args, get_origin, get_type_hints
from omegaconf import DictConfig, ListConfig, OmegaConf
-from pydantic import BaseSettings
+from pydantic_settings import BaseSettings, SettingsConfigDict
-
-class PagingArgumentParser(argparse.ArgumentParser):
- """
- A custom ArgumentParser that uses pydoc to page its output.
- It also supports reading defaults from an init file.
- """
-
- def print_help(self, file=None):
- text = self.format_help()
- pydoc.pager(text)
+from invokeai.app.services.config.config_common import PagingArgumentParser, int_or_float_or_str
class InvokeAISettings(BaseSettings):
@@ -42,12 +32,14 @@ class InvokeAISettings(BaseSettings):
initconf: ClassVar[Optional[DictConfig]] = None
argparse_groups: ClassVar[Dict] = {}
+ model_config = SettingsConfigDict(env_file_encoding="utf-8", arbitrary_types_allowed=True, case_sensitive=True)
+
def parse_args(self, argv: Optional[list] = sys.argv[1:]):
parser = self.get_parser()
opt, unknown_opts = parser.parse_known_args(argv)
if len(unknown_opts) > 0:
print("Unknown args:", unknown_opts)
- for name in self.__fields__:
+ for name in self.model_fields:
if name not in self._excluded():
value = getattr(opt, name)
if isinstance(value, ListConfig):
@@ -64,10 +56,12 @@ class InvokeAISettings(BaseSettings):
cls = self.__class__
type = get_args(get_type_hints(cls)["type"])[0]
field_dict = dict({type: dict()})
- for name, field in self.__fields__.items():
+ for name, field in self.model_fields.items():
if name in cls._excluded_from_yaml():
continue
- category = field.field_info.extra.get("category") or "Uncategorized"
+ category = (
+ field.json_schema_extra.get("category", "Uncategorized") if field.json_schema_extra else "Uncategorized"
+ )
value = getattr(self, name)
if category not in field_dict[type]:
field_dict[type][category] = dict()
@@ -83,7 +77,7 @@ class InvokeAISettings(BaseSettings):
else:
settings_stanza = "Uncategorized"
- env_prefix = getattr(cls.Config, "env_prefix", None)
+ env_prefix = getattr(cls.model_config, "env_prefix", None)
env_prefix = env_prefix if env_prefix is not None else settings_stanza.upper()
initconf = (
@@ -99,14 +93,18 @@ class InvokeAISettings(BaseSettings):
for key, value in os.environ.items():
upcase_environ[key.upper()] = value
- fields = cls.__fields__
+ fields = cls.model_fields
cls.argparse_groups = {}
for name, field in fields.items():
if name not in cls._excluded():
current_default = field.default
- category = field.field_info.extra.get("category", "Uncategorized")
+ category = (
+ field.json_schema_extra.get("category", "Uncategorized")
+ if field.json_schema_extra
+ else "Uncategorized"
+ )
env_name = env_prefix + "_" + name
if category in initconf and name in initconf.get(category):
field.default = initconf.get(category).get(name)
@@ -156,11 +154,6 @@ class InvokeAISettings(BaseSettings):
"tiled_decode",
]
- class Config:
- env_file_encoding = "utf-8"
- arbitrary_types_allowed = True
- case_sensitive = True
-
@classmethod
def add_field_argument(cls, command_parser, name: str, field, default_override=None):
field_type = get_type_hints(cls).get(name)
@@ -171,7 +164,7 @@ class InvokeAISettings(BaseSettings):
if field.default_factory is None
else field.default_factory()
)
- if category := field.field_info.extra.get("category"):
+ if category := (field.json_schema_extra.get("category", None) if field.json_schema_extra else None):
if category not in cls.argparse_groups:
cls.argparse_groups[category] = command_parser.add_argument_group(category)
argparse_group = cls.argparse_groups[category]
@@ -179,7 +172,7 @@ class InvokeAISettings(BaseSettings):
argparse_group = command_parser
if get_origin(field_type) == Literal:
- allowed_values = get_args(field.type_)
+ allowed_values = get_args(field.annotation)
allowed_types = set()
for val in allowed_values:
allowed_types.add(type(val))
@@ -192,7 +185,7 @@ class InvokeAISettings(BaseSettings):
type=field_type,
default=default,
choices=allowed_values,
- help=field.field_info.description,
+ help=field.description,
)
elif get_origin(field_type) == Union:
@@ -201,7 +194,7 @@ class InvokeAISettings(BaseSettings):
dest=name,
type=int_or_float_or_str,
default=default,
- help=field.field_info.description,
+ help=field.description,
)
elif get_origin(field_type) == list:
@@ -209,32 +202,17 @@ class InvokeAISettings(BaseSettings):
f"--{name}",
dest=name,
nargs="*",
- type=field.type_,
+ type=field.annotation,
default=default,
- action=argparse.BooleanOptionalAction if field.type_ == bool else "store",
- help=field.field_info.description,
+ action=argparse.BooleanOptionalAction if field.annotation == bool else "store",
+ help=field.description,
)
else:
argparse_group.add_argument(
f"--{name}",
dest=name,
- type=field.type_,
+ type=field.annotation,
default=default,
- action=argparse.BooleanOptionalAction if field.type_ == bool else "store",
- help=field.field_info.description,
+ action=argparse.BooleanOptionalAction if field.annotation == bool else "store",
+ help=field.description,
)
-
-
-def int_or_float_or_str(value: str) -> Union[int, float, str]:
- """
- Workaround for argparse type checking.
- """
- try:
- return int(value)
- except Exception as e: # noqa F841
- pass
- try:
- return float(value)
- except Exception as e: # noqa F841
- pass
- return str(value)
diff --git a/invokeai/app/services/config/config_common.py b/invokeai/app/services/config/config_common.py
new file mode 100644
index 0000000000..d11bcabcf9
--- /dev/null
+++ b/invokeai/app/services/config/config_common.py
@@ -0,0 +1,41 @@
+# Copyright (c) 2023 Lincoln Stein (https://github.com/lstein) and the InvokeAI Development Team
+
+"""
+Base class for the InvokeAI configuration system.
+It defines a type of pydantic BaseSettings object that
+is able to read and write from an omegaconf-based config file,
+with overriding of settings from environment variables and/or
+the command line.
+"""
+
+from __future__ import annotations
+
+import argparse
+import pydoc
+from typing import Union
+
+
+class PagingArgumentParser(argparse.ArgumentParser):
+ """
+ A custom ArgumentParser that uses pydoc to page its output.
+ It also supports reading defaults from an init file.
+ """
+
+ def print_help(self, file=None):
+ text = self.format_help()
+ pydoc.pager(text)
+
+
+def int_or_float_or_str(value: str) -> Union[int, float, str]:
+ """
+ Workaround for argparse type checking.
+ """
+ try:
+ return int(value)
+ except Exception as e: # noqa F841
+ pass
+ try:
+ return float(value)
+ except Exception as e: # noqa F841
+ pass
+ return str(value)
diff --git a/invokeai/app/services/config/invokeai_config.py b/invokeai/app/services/config/config_default.py
similarity index 70%
rename from invokeai/app/services/config/invokeai_config.py
rename to invokeai/app/services/config/config_default.py
index d8b598815d..df01b65882 100644
--- a/invokeai/app/services/config/invokeai_config.py
+++ b/invokeai/app/services/config/config_default.py
@@ -144,8 +144,8 @@ which is set to the desired top-level name. For example, to create a
class InvokeBatch(InvokeAISettings):
type: Literal["InvokeBatch"] = "InvokeBatch"
- node_count : int = Field(default=1, description="Number of nodes to run on", category='Resources')
- cpu_count : int = Field(default=8, description="Number of GPUs to run on per node", category='Resources')
+ node_count : int = Field(default=1, description="Number of nodes to run on", json_schema_extra=dict(category='Resources'))
+ cpu_count : int = Field(default=8, description="Number of GPUs to run on per node", json_schema_extra=dict(category='Resources'))
This will now read and write from the "InvokeBatch" section of the
config file, look for environment variables named INVOKEBATCH_*, and
@@ -175,9 +175,10 @@ from pathlib import Path
from typing import ClassVar, Dict, List, Literal, Optional, Union, get_type_hints
from omegaconf import DictConfig, OmegaConf
-from pydantic import Field, parse_obj_as
+from pydantic import Field, TypeAdapter
+from pydantic_settings import SettingsConfigDict
-from .base import InvokeAISettings
+from .config_base import InvokeAISettings
INIT_FILE = Path("invokeai.yaml")
DB_FILE = Path("invokeai.db")
@@ -185,6 +186,21 @@ LEGACY_INIT_FILE = Path("invokeai.init")
DEFAULT_MAX_VRAM = 0.5
+class Categories(object):
+ WebServer = dict(category="Web Server")
+ Features = dict(category="Features")
+ Paths = dict(category="Paths")
+ Logging = dict(category="Logging")
+ Development = dict(category="Development")
+ Other = dict(category="Other")
+ ModelCache = dict(category="Model Cache")
+ Device = dict(category="Device")
+ Generation = dict(category="Generation")
+ Queue = dict(category="Queue")
+ Nodes = dict(category="Nodes")
+ MemoryPerformance = dict(category="Memory/Performance")
+
+
class InvokeAIAppConfig(InvokeAISettings):
"""
Generate images using Stable Diffusion. Use "invokeai" to launch
@@ -201,86 +217,88 @@ class InvokeAIAppConfig(InvokeAISettings):
type: Literal["InvokeAI"] = "InvokeAI"
# WEB
- host : str = Field(default="127.0.0.1", description="IP address to bind to", category='Web Server')
- port : int = Field(default=9090, description="Port to bind to", category='Web Server')
- allow_origins : List[str] = Field(default=[], description="Allowed CORS origins", category='Web Server')
- allow_credentials : bool = Field(default=True, description="Allow CORS credentials", category='Web Server')
- allow_methods : List[str] = Field(default=["*"], description="Methods allowed for CORS", category='Web Server')
- allow_headers : List[str] = Field(default=["*"], description="Headers allowed for CORS", category='Web Server')
+ host : str = Field(default="127.0.0.1", description="IP address to bind to", json_schema_extra=Categories.WebServer)
+ port : int = Field(default=9090, description="Port to bind to", json_schema_extra=Categories.WebServer)
+ allow_origins : List[str] = Field(default=[], description="Allowed CORS origins", json_schema_extra=Categories.WebServer)
+ allow_credentials : bool = Field(default=True, description="Allow CORS credentials", json_schema_extra=Categories.WebServer)
+ allow_methods : List[str] = Field(default=["*"], description="Methods allowed for CORS", json_schema_extra=Categories.WebServer)
+ allow_headers : List[str] = Field(default=["*"], description="Headers allowed for CORS", json_schema_extra=Categories.WebServer)
# FEATURES
- esrgan : bool = Field(default=True, description="Enable/disable upscaling code", category='Features')
- internet_available : bool = Field(default=True, description="If true, attempt to download models on the fly; otherwise only use local models", category='Features')
- log_tokenization : bool = Field(default=False, description="Enable logging of parsed prompt tokens.", category='Features')
- patchmatch : bool = Field(default=True, description="Enable/disable patchmatch inpaint code", category='Features')
- ignore_missing_core_models : bool = Field(default=False, description='Ignore missing models in models/core/convert', category='Features')
+ esrgan : bool = Field(default=True, description="Enable/disable upscaling code", json_schema_extra=Categories.Features)
+ internet_available : bool = Field(default=True, description="If true, attempt to download models on the fly; otherwise only use local models", json_schema_extra=Categories.Features)
+ log_tokenization : bool = Field(default=False, description="Enable logging of parsed prompt tokens.", json_schema_extra=Categories.Features)
+ patchmatch : bool = Field(default=True, description="Enable/disable patchmatch inpaint code", json_schema_extra=Categories.Features)
+ ignore_missing_core_models : bool = Field(default=False, description='Ignore missing models in models/core/convert', json_schema_extra=Categories.Features)
# PATHS
- root : Path = Field(default=None, description='InvokeAI runtime root directory', category='Paths')
- autoimport_dir : Path = Field(default='autoimport', description='Path to a directory of models files to be imported on startup.', category='Paths')
- lora_dir : Path = Field(default=None, description='Path to a directory of LoRA/LyCORIS models to be imported on startup.', category='Paths')
- embedding_dir : Path = Field(default=None, description='Path to a directory of Textual Inversion embeddings to be imported on startup.', category='Paths')
- controlnet_dir : Path = Field(default=None, description='Path to a directory of ControlNet embeddings to be imported on startup.', category='Paths')
- conf_path : Path = Field(default='configs/models.yaml', description='Path to models definition file', category='Paths')
- models_dir : Path = Field(default='models', description='Path to the models directory', category='Paths')
- legacy_conf_dir : Path = Field(default='configs/stable-diffusion', description='Path to directory of legacy checkpoint config files', category='Paths')
- db_dir : Path = Field(default='databases', description='Path to InvokeAI databases directory', category='Paths')
- outdir : Path = Field(default='outputs', description='Default folder for output images', category='Paths')
- use_memory_db : bool = Field(default=False, description='Use in-memory database for storing image metadata', category='Paths')
- from_file : Path = Field(default=None, description='Take command input from the indicated file (command-line client only)', category='Paths')
+ root : Optional[Path] = Field(default=None, description='InvokeAI runtime root directory', json_schema_extra=Categories.Paths)
+ autoimport_dir : Optional[Path] = Field(default=Path('autoimport'), description='Path to a directory of models files to be imported on startup.', json_schema_extra=Categories.Paths)
+ lora_dir : Optional[Path] = Field(default=None, description='Path to a directory of LoRA/LyCORIS models to be imported on startup.', json_schema_extra=Categories.Paths)
+ embedding_dir : Optional[Path] = Field(default=None, description='Path to a directory of Textual Inversion embeddings to be imported on startup.', json_schema_extra=Categories.Paths)
+ controlnet_dir : Optional[Path] = Field(default=None, description='Path to a directory of ControlNet embeddings to be imported on startup.', json_schema_extra=Categories.Paths)
+ conf_path : Optional[Path] = Field(default=Path('configs/models.yaml'), description='Path to models definition file', json_schema_extra=Categories.Paths)
+ models_dir : Optional[Path] = Field(default=Path('models'), description='Path to the models directory', json_schema_extra=Categories.Paths)
+ legacy_conf_dir : Optional[Path] = Field(default=Path('configs/stable-diffusion'), description='Path to directory of legacy checkpoint config files', json_schema_extra=Categories.Paths)
+ db_dir : Optional[Path] = Field(default=Path('databases'), description='Path to InvokeAI databases directory', json_schema_extra=Categories.Paths)
+ outdir : Optional[Path] = Field(default=Path('outputs'), description='Default folder for output images', json_schema_extra=Categories.Paths)
+ use_memory_db : bool = Field(default=False, description='Use in-memory database for storing image metadata', json_schema_extra=Categories.Paths)
+ from_file : Optional[Path] = Field(default=None, description='Take command input from the indicated file (command-line client only)', json_schema_extra=Categories.Paths)
# LOGGING
- log_handlers : List[str] = Field(default=["console"], description='Log handler. Valid options are "console", "file=<path>", "syslog=path|address:host:port", "http=<url>"', category="Logging")
+ log_handlers : List[str] = Field(default=["console"], description='Log handler. Valid options are "console", "file=<path>", "syslog=path|address:host:port", "http=<url>"', json_schema_extra=Categories.Logging)
# note - would be better to read the log_format values from logging.py, but this creates circular dependencies issues
- log_format : Literal['plain', 'color', 'syslog', 'legacy'] = Field(default="color", description='Log format. Use "plain" for text-only, "color" for colorized output, "legacy" for 2.3-style logging and "syslog" for syslog-style', category="Logging")
- log_level : Literal["debug", "info", "warning", "error", "critical"] = Field(default="info", description="Emit logging messages at this level or higher", category="Logging")
- log_sql : bool = Field(default=False, description="Log SQL queries", category="Logging")
+ log_format : Literal['plain', 'color', 'syslog', 'legacy'] = Field(default="color", description='Log format. Use "plain" for text-only, "color" for colorized output, "legacy" for 2.3-style logging and "syslog" for syslog-style', json_schema_extra=Categories.Logging)
+ log_level : Literal["debug", "info", "warning", "error", "critical"] = Field(default="info", description="Emit logging messages at this level or higher", json_schema_extra=Categories.Logging)
+ log_sql : bool = Field(default=False, description="Log SQL queries", json_schema_extra=Categories.Logging)
- dev_reload : bool = Field(default=False, description="Automatically reload when Python sources are changed.", category="Development")
+ dev_reload : bool = Field(default=False, description="Automatically reload when Python sources are changed.", json_schema_extra=Categories.Development)
- version : bool = Field(default=False, description="Show InvokeAI version and exit", category="Other")
+ version : bool = Field(default=False, description="Show InvokeAI version and exit", json_schema_extra=Categories.Other)
# CACHE
- ram : Union[float, Literal["auto"]] = Field(default=7.5, gt=0, description="Maximum memory amount used by model cache for rapid switching (floating point number or 'auto')", category="Model Cache", )
- vram : Union[float, Literal["auto"]] = Field(default=0.25, ge=0, description="Amount of VRAM reserved for model storage (floating point number or 'auto')", category="Model Cache", )
- lazy_offload : bool = Field(default=True, description="Keep models in VRAM until their space is needed", category="Model Cache", )
+ ram : float = Field(default=7.5, gt=0, description="Maximum memory amount used by model cache for rapid switching (floating point number, GB)", json_schema_extra=Categories.ModelCache, )
+ vram : float = Field(default=0.25, ge=0, description="Amount of VRAM reserved for model storage (floating point number, GB)", json_schema_extra=Categories.ModelCache, )
+ lazy_offload : bool = Field(default=True, description="Keep models in VRAM until their space is needed", json_schema_extra=Categories.ModelCache, )
# DEVICE
- device : Literal["auto", "cpu", "cuda", "cuda:1", "mps"] = Field(default="auto", description="Generation device", category="Device", )
- precision : Literal["auto", "float16", "float32", "autocast"] = Field(default="auto", description="Floating point precision", category="Device", )
+ device : Literal["auto", "cpu", "cuda", "cuda:1", "mps"] = Field(default="auto", description="Generation device", json_schema_extra=Categories.Device)
+ precision : Literal["auto", "float16", "float32", "autocast"] = Field(default="auto", description="Floating point precision", json_schema_extra=Categories.Device)
# GENERATION
- sequential_guidance : bool = Field(default=False, description="Whether to calculate guidance in serial instead of in parallel, lowering memory requirements", category="Generation", )
- attention_type : Literal["auto", "normal", "xformers", "sliced", "torch-sdp"] = Field(default="auto", description="Attention type", category="Generation", )
- attention_slice_size: Literal["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8] = Field(default="auto", description='Slice size, valid when attention_type=="sliced"', category="Generation", )
- force_tiled_decode : bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category="Generation",)
- force_tiled_decode: bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category="Generation",)
- png_compress_level : int = Field(default=6, description="The compress_level setting of PIL.Image.save(), used for PNG encoding. All settings are lossless. 0 = fastest, largest filesize, 9 = slowest, smallest filesize", category="Generation", )
+ sequential_guidance : bool = Field(default=False, description="Whether to calculate guidance in serial instead of in parallel, lowering memory requirements", json_schema_extra=Categories.Generation)
+ attention_type : Literal["auto", "normal", "xformers", "sliced", "torch-sdp"] = Field(default="auto", description="Attention type", json_schema_extra=Categories.Generation)
+ attention_slice_size: Literal["auto", "balanced", "max", 1, 2, 3, 4, 5, 6, 7, 8] = Field(default="auto", description='Slice size, valid when attention_type=="sliced"', json_schema_extra=Categories.Generation)
+ force_tiled_decode : bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", json_schema_extra=Categories.Generation)
+ png_compress_level : int = Field(default=6, description="The compress_level setting of PIL.Image.save(), used for PNG encoding. All settings are lossless. 0 = fastest, largest filesize, 9 = slowest, smallest filesize", json_schema_extra=Categories.Generation)
# QUEUE
- max_queue_size : int = Field(default=10000, gt=0, description="Maximum number of items in the session queue", category="Queue", )
+ max_queue_size : int = Field(default=10000, gt=0, description="Maximum number of items in the session queue", json_schema_extra=Categories.Queue)
# NODES
- allow_nodes : Optional[List[str]] = Field(default=None, description="List of nodes to allow. Omit to allow all.", category="Nodes")
- deny_nodes : Optional[List[str]] = Field(default=None, description="List of nodes to deny. Omit to deny none.", category="Nodes")
- node_cache_size : int = Field(default=512, description="How many cached nodes to keep in memory", category="Nodes", )
+ allow_nodes : Optional[List[str]] = Field(default=None, description="List of nodes to allow. Omit to allow all.", json_schema_extra=Categories.Nodes)
+ deny_nodes : Optional[List[str]] = Field(default=None, description="List of nodes to deny. Omit to deny none.", json_schema_extra=Categories.Nodes)
+ node_cache_size : int = Field(default=512, description="How many cached nodes to keep in memory", json_schema_extra=Categories.Nodes)
# DEPRECATED FIELDS - STILL HERE IN ORDER TO OBTAN VALUES FROM PRE-3.1 CONFIG FILES
- always_use_cpu : bool = Field(default=False, description="If true, use the CPU for rendering even if a GPU is available.", category='Memory/Performance')
- free_gpu_mem : Optional[bool] = Field(default=None, description="If true, purge model from GPU after each generation.", category='Memory/Performance')
- max_cache_size : Optional[float] = Field(default=None, gt=0, description="Maximum memory amount used by model cache for rapid switching", category='Memory/Performance')
- max_vram_cache_size : Optional[float] = Field(default=None, ge=0, description="Amount of VRAM reserved for model storage", category='Memory/Performance')
- xformers_enabled : bool = Field(default=True, description="Enable/disable memory-efficient attention", category='Memory/Performance')
- tiled_decode : bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", category='Memory/Performance')
+ always_use_cpu : bool = Field(default=False, description="If true, use the CPU for rendering even if a GPU is available.", json_schema_extra=Categories.MemoryPerformance)
+ free_gpu_mem : Optional[bool] = Field(default=None, description="If true, purge model from GPU after each generation.", json_schema_extra=Categories.MemoryPerformance)
+ max_cache_size : Optional[float] = Field(default=None, gt=0, description="Maximum memory amount used by model cache for rapid switching", json_schema_extra=Categories.MemoryPerformance)
+ max_vram_cache_size : Optional[float] = Field(default=None, ge=0, description="Amount of VRAM reserved for model storage", json_schema_extra=Categories.MemoryPerformance)
+ xformers_enabled : bool = Field(default=True, description="Enable/disable memory-efficient attention", json_schema_extra=Categories.MemoryPerformance)
+ tiled_decode : bool = Field(default=False, description="Whether to enable tiled VAE decode (reduces memory consumption with some performance penalty)", json_schema_extra=Categories.MemoryPerformance)
# See InvokeAIAppConfig subclass below for CACHE and DEVICE categories
# fmt: on
- class Config:
- validate_assignment = True
- env_prefix = "INVOKEAI"
+ model_config = SettingsConfigDict(validate_assignment=True, env_prefix="INVOKEAI")
- def parse_args(self, argv: Optional[list[str]] = None, conf: Optional[DictConfig] = None, clobber=False):
+ def parse_args(
+ self,
+ argv: Optional[list[str]] = None,
+ conf: Optional[DictConfig] = None,
+ clobber=False,
+ ):
"""
Update settings with contents of init file, environment, and
command-line settings.
@@ -308,7 +326,11 @@ class InvokeAIAppConfig(InvokeAISettings):
if self.singleton_init and not clobber:
hints = get_type_hints(self.__class__)
for k in self.singleton_init:
- setattr(self, k, parse_obj_as(hints[k], self.singleton_init[k]))
+ setattr(
+ self,
+ k,
+ TypeAdapter(hints[k]).validate_python(self.singleton_init[k]),
+ )
@classmethod
def get_config(cls, **kwargs) -> InvokeAIAppConfig:
diff --git a/invokeai/app/services/events/__init__.py b/invokeai/app/services/events/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/events.py b/invokeai/app/services/events/events_base.py
similarity index 95%
rename from invokeai/app/services/events.py
rename to invokeai/app/services/events/events_base.py
index 0a02a03539..ad00815151 100644
--- a/invokeai/app/services/events.py
+++ b/invokeai/app/services/events/events_base.py
@@ -2,8 +2,7 @@
from typing import Any, Optional
-from invokeai.app.models.image import ProgressImage
-from invokeai.app.services.model_manager_service import BaseModelType, ModelInfo, ModelType, SubModelType
+from invokeai.app.services.invocation_processor.invocation_processor_common import ProgressImage
from invokeai.app.services.session_queue.session_queue_common import (
BatchStatus,
EnqueueBatchResult,
@@ -11,6 +10,8 @@ from invokeai.app.services.session_queue.session_queue_common import (
SessionQueueStatus,
)
from invokeai.app.util.misc import get_timestamp
+from invokeai.backend.model_management.model_manager import ModelInfo
+from invokeai.backend.model_management.models.base import BaseModelType, ModelType, SubModelType
class EventServiceBase:
@@ -54,7 +55,7 @@ class EventServiceBase:
graph_execution_state_id=graph_execution_state_id,
node_id=node.get("id"),
source_node_id=source_node_id,
- progress_image=progress_image.dict() if progress_image is not None else None,
+ progress_image=progress_image.model_dump() if progress_image is not None else None,
step=step,
order=order,
total_steps=total_steps,
@@ -290,8 +291,8 @@ class EventServiceBase:
started_at=str(session_queue_item.started_at) if session_queue_item.started_at else None,
completed_at=str(session_queue_item.completed_at) if session_queue_item.completed_at else None,
),
- batch_status=batch_status.dict(),
- queue_status=queue_status.dict(),
+ batch_status=batch_status.model_dump(),
+ queue_status=queue_status.model_dump(),
),
)
diff --git a/invokeai/app/services/image_files/__init__.py b/invokeai/app/services/image_files/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/image_files/image_files_base.py b/invokeai/app/services/image_files/image_files_base.py
new file mode 100644
index 0000000000..5dde7b05d6
--- /dev/null
+++ b/invokeai/app/services/image_files/image_files_base.py
@@ -0,0 +1,43 @@
+from abc import ABC, abstractmethod
+from pathlib import Path
+from typing import Optional
+
+from PIL.Image import Image as PILImageType
+
+
+class ImageFileStorageBase(ABC):
+ """Low-level service responsible for storing and retrieving image files."""
+
+ @abstractmethod
+ def get(self, image_name: str) -> PILImageType:
+ """Retrieves an image as PIL Image."""
+ pass
+
+ @abstractmethod
+ def get_path(self, image_name: str, thumbnail: bool = False) -> Path:
+ """Gets the internal path to an image or thumbnail."""
+ pass
+
+ # TODO: We need to validate paths before starlette makes the FileResponse, else we get a
+ # 500 internal server error. I don't like having this method on the service.
+ @abstractmethod
+ def validate_path(self, path: str) -> bool:
+ """Validates the path given for an image or thumbnail."""
+ pass
+
+ @abstractmethod
+ def save(
+ self,
+ image: PILImageType,
+ image_name: str,
+ metadata: Optional[dict] = None,
+ workflow: Optional[str] = None,
+ thumbnail_size: int = 256,
+ ) -> None:
+ """Saves an image and a 256x256 WEBP thumbnail. Returns a tuple of the image name, thumbnail name, and created timestamp."""
+ pass
+
+ @abstractmethod
+ def delete(self, image_name: str) -> None:
+ """Deletes an image and its thumbnail (if one exists)."""
+ pass
diff --git a/invokeai/app/services/image_files/image_files_common.py b/invokeai/app/services/image_files/image_files_common.py
new file mode 100644
index 0000000000..e9cc2a3fa7
--- /dev/null
+++ b/invokeai/app/services/image_files/image_files_common.py
@@ -0,0 +1,20 @@
+# TODO: Should these excpetions subclass existing python exceptions?
+class ImageFileNotFoundException(Exception):
+ """Raised when an image file is not found in storage."""
+
+ def __init__(self, message="Image file not found"):
+ super().__init__(message)
+
+
+class ImageFileSaveException(Exception):
+ """Raised when an image cannot be saved."""
+
+ def __init__(self, message="Image file not saved"):
+ super().__init__(message)
+
+
+class ImageFileDeleteException(Exception):
+ """Raised when an image cannot be deleted."""
+
+ def __init__(self, message="Image file not deleted"):
+ super().__init__(message)
diff --git a/invokeai/app/services/image_file_storage.py b/invokeai/app/services/image_files/image_files_disk.py
similarity index 70%
rename from invokeai/app/services/image_file_storage.py
rename to invokeai/app/services/image_files/image_files_disk.py
index 7f32671a8c..9111a71605 100644
--- a/invokeai/app/services/image_file_storage.py
+++ b/invokeai/app/services/image_files/image_files_disk.py
@@ -1,6 +1,5 @@
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) and the InvokeAI Team
import json
-from abc import ABC, abstractmethod
from pathlib import Path
from queue import Queue
from typing import Dict, Optional, Union
@@ -9,68 +8,11 @@ from PIL import Image, PngImagePlugin
from PIL.Image import Image as PILImageType
from send2trash import send2trash
-from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig
+from invokeai.app.services.invoker import Invoker
from invokeai.app.util.thumbnails import get_thumbnail_name, make_thumbnail
-
-# TODO: Should these excpetions subclass existing python exceptions?
-class ImageFileNotFoundException(Exception):
- """Raised when an image file is not found in storage."""
-
- def __init__(self, message="Image file not found"):
- super().__init__(message)
-
-
-class ImageFileSaveException(Exception):
- """Raised when an image cannot be saved."""
-
- def __init__(self, message="Image file not saved"):
- super().__init__(message)
-
-
-class ImageFileDeleteException(Exception):
- """Raised when an image cannot be deleted."""
-
- def __init__(self, message="Image file not deleted"):
- super().__init__(message)
-
-
-class ImageFileStorageBase(ABC):
- """Low-level service responsible for storing and retrieving image files."""
-
- @abstractmethod
- def get(self, image_name: str) -> PILImageType:
- """Retrieves an image as PIL Image."""
- pass
-
- @abstractmethod
- def get_path(self, image_name: str, thumbnail: bool = False) -> str:
- """Gets the internal path to an image or thumbnail."""
- pass
-
- # TODO: We need to validate paths before starlette makes the FileResponse, else we get a
- # 500 internal server error. I don't like having this method on the service.
- @abstractmethod
- def validate_path(self, path: str) -> bool:
- """Validates the path given for an image or thumbnail."""
- pass
-
- @abstractmethod
- def save(
- self,
- image: PILImageType,
- image_name: str,
- metadata: Optional[dict] = None,
- workflow: Optional[str] = None,
- thumbnail_size: int = 256,
- ) -> None:
- """Saves an image and a 256x256 WEBP thumbnail. Returns a tuple of the image name, thumbnail name, and created timestamp."""
- pass
-
- @abstractmethod
- def delete(self, image_name: str) -> None:
- """Deletes an image and its thumbnail (if one exists)."""
- pass
+from .image_files_base import ImageFileStorageBase
+from .image_files_common import ImageFileDeleteException, ImageFileNotFoundException, ImageFileSaveException
class DiskImageFileStorage(ImageFileStorageBase):
@@ -80,7 +22,7 @@ class DiskImageFileStorage(ImageFileStorageBase):
__cache_ids: Queue # TODO: this is an incredibly naive cache
__cache: Dict[Path, PILImageType]
__max_cache_size: int
- __compress_level: int
+ __invoker: Invoker
def __init__(self, output_folder: Union[str, Path]):
self.__cache = dict()
@@ -89,10 +31,12 @@ class DiskImageFileStorage(ImageFileStorageBase):
self.__output_folder: Path = output_folder if isinstance(output_folder, Path) else Path(output_folder)
self.__thumbnails_folder = self.__output_folder / "thumbnails"
- self.__compress_level = InvokeAIAppConfig.get_config().png_compress_level
# Validate required output folders at launch
self.__validate_storage_folders()
+ def start(self, invoker: Invoker) -> None:
+ self.__invoker = invoker
+
def get(self, image_name: str) -> PILImageType:
try:
image_path = self.get_path(image_name)
@@ -136,7 +80,12 @@ class DiskImageFileStorage(ImageFileStorageBase):
if original_workflow is not None:
pnginfo.add_text("invokeai_workflow", original_workflow)
- image.save(image_path, "PNG", pnginfo=pnginfo, compress_level=self.__compress_level)
+ image.save(
+ image_path,
+ "PNG",
+ pnginfo=pnginfo,
+ compress_level=self.__invoker.services.configuration.png_compress_level,
+ )
thumbnail_name = get_thumbnail_name(image_name)
thumbnail_path = self.get_path(thumbnail_name, thumbnail=True)
diff --git a/invokeai/app/services/image_records/__init__.py b/invokeai/app/services/image_records/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/image_records/image_records_base.py b/invokeai/app/services/image_records/image_records_base.py
new file mode 100644
index 0000000000..107ff85f9b
--- /dev/null
+++ b/invokeai/app/services/image_records/image_records_base.py
@@ -0,0 +1,84 @@
+from abc import ABC, abstractmethod
+from datetime import datetime
+from typing import Optional
+
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+
+from .image_records_common import ImageCategory, ImageRecord, ImageRecordChanges, ResourceOrigin
+
+
+class ImageRecordStorageBase(ABC):
+ """Low-level service responsible for interfacing with the image record store."""
+
+ # TODO: Implement an `update()` method
+
+ @abstractmethod
+ def get(self, image_name: str) -> ImageRecord:
+ """Gets an image record."""
+ pass
+
+ @abstractmethod
+ def get_metadata(self, image_name: str) -> Optional[dict]:
+ """Gets an image's metadata'."""
+ pass
+
+ @abstractmethod
+ def update(
+ self,
+ image_name: str,
+ changes: ImageRecordChanges,
+ ) -> None:
+ """Updates an image record."""
+ pass
+
+ @abstractmethod
+ def get_many(
+ self,
+ offset: int = 0,
+ limit: int = 10,
+ image_origin: Optional[ResourceOrigin] = None,
+ categories: Optional[list[ImageCategory]] = None,
+ is_intermediate: Optional[bool] = None,
+ board_id: Optional[str] = None,
+ ) -> OffsetPaginatedResults[ImageRecord]:
+ """Gets a page of image records."""
+ pass
+
+ # TODO: The database has a nullable `deleted_at` column, currently unused.
+ # Should we implement soft deletes? Would need coordination with ImageFileStorage.
+ @abstractmethod
+ def delete(self, image_name: str) -> None:
+ """Deletes an image record."""
+ pass
+
+ @abstractmethod
+ def delete_many(self, image_names: list[str]) -> None:
+ """Deletes many image records."""
+ pass
+
+ @abstractmethod
+ def delete_intermediates(self) -> list[str]:
+ """Deletes all intermediate image records, returning a list of deleted image names."""
+ pass
+
+ @abstractmethod
+ def save(
+ self,
+ image_name: str,
+ image_origin: ResourceOrigin,
+ image_category: ImageCategory,
+ width: int,
+ height: int,
+ is_intermediate: Optional[bool] = False,
+ starred: Optional[bool] = False,
+ session_id: Optional[str] = None,
+ node_id: Optional[str] = None,
+ metadata: Optional[dict] = None,
+ ) -> datetime:
+ """Saves an image record."""
+ pass
+
+ @abstractmethod
+ def get_most_recent_image_for_board(self, board_id: str) -> Optional[ImageRecord]:
+ """Gets the most recent image for a board."""
+ pass
diff --git a/invokeai/app/services/models/image_record.py b/invokeai/app/services/image_records/image_records_common.py
similarity index 56%
rename from invokeai/app/services/models/image_record.py
rename to invokeai/app/services/image_records/image_records_common.py
index 3b215f5b88..5a6e5652c9 100644
--- a/invokeai/app/services/models/image_record.py
+++ b/invokeai/app/services/image_records/image_records_common.py
@@ -1,13 +1,117 @@
+# TODO: Should these excpetions subclass existing python exceptions?
import datetime
+from enum import Enum
from typing import Optional, Union
-from pydantic import Extra, Field, StrictBool, StrictStr
+from pydantic import Field, StrictBool, StrictStr
-from invokeai.app.models.image import ImageCategory, ResourceOrigin
+from invokeai.app.util.metaenum import MetaEnum
from invokeai.app.util.misc import get_iso_timestamp
from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
+class ResourceOrigin(str, Enum, metaclass=MetaEnum):
+ """The origin of a resource (eg image).
+
+ - INTERNAL: The resource was created by the application.
+ - EXTERNAL: The resource was not created by the application.
+ This may be a user-initiated upload, or an internal application upload (eg Canvas init image).
+ """
+
+ INTERNAL = "internal"
+ """The resource was created by the application."""
+ EXTERNAL = "external"
+ """The resource was not created by the application.
+ This may be a user-initiated upload, or an internal application upload (eg Canvas init image).
+ """
+
+
+class InvalidOriginException(ValueError):
+ """Raised when a provided value is not a valid ResourceOrigin.
+
+ Subclasses `ValueError`.
+ """
+
+ def __init__(self, message="Invalid resource origin."):
+ super().__init__(message)
+
+
+class ImageCategory(str, Enum, metaclass=MetaEnum):
+ """The category of an image.
+
+ - GENERAL: The image is an output, init image, or otherwise an image without a specialized purpose.
+ - MASK: The image is a mask image.
+ - CONTROL: The image is a ControlNet control image.
+ - USER: The image is a user-provide image.
+ - OTHER: The image is some other type of image with a specialized purpose. To be used by external nodes.
+ """
+
+ GENERAL = "general"
+ """GENERAL: The image is an output, init image, or otherwise an image without a specialized purpose."""
+ MASK = "mask"
+ """MASK: The image is a mask image."""
+ CONTROL = "control"
+ """CONTROL: The image is a ControlNet control image."""
+ USER = "user"
+ """USER: The image is a user-provide image."""
+ OTHER = "other"
+ """OTHER: The image is some other type of image with a specialized purpose. To be used by external nodes."""
+
+
+class InvalidImageCategoryException(ValueError):
+ """Raised when a provided value is not a valid ImageCategory.
+
+ Subclasses `ValueError`.
+ """
+
+ def __init__(self, message="Invalid image category."):
+ super().__init__(message)
+
+
+class ImageRecordNotFoundException(Exception):
+ """Raised when an image record is not found."""
+
+ def __init__(self, message="Image record not found"):
+ super().__init__(message)
+
+
+class ImageRecordSaveException(Exception):
+ """Raised when an image record cannot be saved."""
+
+ def __init__(self, message="Image record not saved"):
+ super().__init__(message)
+
+
+class ImageRecordDeleteException(Exception):
+ """Raised when an image record cannot be deleted."""
+
+ def __init__(self, message="Image record not deleted"):
+ super().__init__(message)
+
+
+IMAGE_DTO_COLS = ", ".join(
+ list(
+ map(
+ lambda c: "images." + c,
+ [
+ "image_name",
+ "image_origin",
+ "image_category",
+ "width",
+ "height",
+ "session_id",
+ "node_id",
+ "is_intermediate",
+ "created_at",
+ "updated_at",
+ "deleted_at",
+ "starred",
+ ],
+ )
+ )
+)
+
+
class ImageRecord(BaseModelExcludeNull):
"""Deserialized image record without metadata."""
@@ -25,7 +129,9 @@ class ImageRecord(BaseModelExcludeNull):
"""The created timestamp of the image."""
updated_at: Union[datetime.datetime, str] = Field(description="The updated timestamp of the image.")
"""The updated timestamp of the image."""
- deleted_at: Union[datetime.datetime, str, None] = Field(description="The deleted timestamp of the image.")
+ deleted_at: Optional[Union[datetime.datetime, str]] = Field(
+ default=None, description="The deleted timestamp of the image."
+ )
"""The deleted timestamp of the image."""
is_intermediate: bool = Field(description="Whether this is an intermediate image.")
"""Whether this is an intermediate image."""
@@ -43,7 +149,7 @@ class ImageRecord(BaseModelExcludeNull):
"""Whether this image is starred."""
-class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid):
+class ImageRecordChanges(BaseModelExcludeNull, extra="allow"):
"""A set of changes to apply to an image record.
Only limited changes are valid:
@@ -66,41 +172,6 @@ class ImageRecordChanges(BaseModelExcludeNull, extra=Extra.forbid):
"""The image's new `starred` state."""
-class ImageUrlsDTO(BaseModelExcludeNull):
- """The URLs for an image and its thumbnail."""
-
- image_name: str = Field(description="The unique name of the image.")
- """The unique name of the image."""
- image_url: str = Field(description="The URL of the image.")
- """The URL of the image."""
- thumbnail_url: str = Field(description="The URL of the image's thumbnail.")
- """The URL of the image's thumbnail."""
-
-
-class ImageDTO(ImageRecord, ImageUrlsDTO):
- """Deserialized image record, enriched for the frontend."""
-
- board_id: Optional[str] = Field(description="The id of the board the image belongs to, if one exists.")
- """The id of the board the image belongs to, if one exists."""
-
- pass
-
-
-def image_record_to_dto(
- image_record: ImageRecord,
- image_url: str,
- thumbnail_url: str,
- board_id: Optional[str],
-) -> ImageDTO:
- """Converts an image record to an image DTO."""
- return ImageDTO(
- **image_record.dict(),
- image_url=image_url,
- thumbnail_url=thumbnail_url,
- board_id=board_id,
- )
-
-
def deserialize_image_record(image_dict: dict) -> ImageRecord:
"""Deserializes an image record."""
diff --git a/invokeai/app/services/image_record_storage.py b/invokeai/app/services/image_records/image_records_sqlite.py
similarity index 75%
rename from invokeai/app/services/image_record_storage.py
rename to invokeai/app/services/image_records/image_records_sqlite.py
index 21afcaf0bf..9793236d9c 100644
--- a/invokeai/app/services/image_record_storage.py
+++ b/invokeai/app/services/image_records/image_records_sqlite.py
@@ -1,164 +1,36 @@
import json
import sqlite3
import threading
-from abc import ABC, abstractmethod
from datetime import datetime
-from typing import Generic, Optional, TypeVar, cast
+from typing import Optional, Union, cast
-from pydantic import BaseModel, Field
-from pydantic.generics import GenericModel
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+from invokeai.app.services.shared.sqlite import SqliteDatabase
-from invokeai.app.models.image import ImageCategory, ResourceOrigin
-from invokeai.app.services.models.image_record import ImageRecord, ImageRecordChanges, deserialize_image_record
-
-T = TypeVar("T", bound=BaseModel)
-
-
-class OffsetPaginatedResults(GenericModel, Generic[T]):
- """Offset-paginated results"""
-
- # fmt: off
- items: list[T] = Field(description="Items")
- offset: int = Field(description="Offset from which to retrieve items")
- limit: int = Field(description="Limit of items to get")
- total: int = Field(description="Total number of items in result")
- # fmt: on
-
-
-# TODO: Should these excpetions subclass existing python exceptions?
-class ImageRecordNotFoundException(Exception):
- """Raised when an image record is not found."""
-
- def __init__(self, message="Image record not found"):
- super().__init__(message)
-
-
-class ImageRecordSaveException(Exception):
- """Raised when an image record cannot be saved."""
-
- def __init__(self, message="Image record not saved"):
- super().__init__(message)
-
-
-class ImageRecordDeleteException(Exception):
- """Raised when an image record cannot be deleted."""
-
- def __init__(self, message="Image record not deleted"):
- super().__init__(message)
-
-
-IMAGE_DTO_COLS = ", ".join(
- list(
- map(
- lambda c: "images." + c,
- [
- "image_name",
- "image_origin",
- "image_category",
- "width",
- "height",
- "session_id",
- "node_id",
- "is_intermediate",
- "created_at",
- "updated_at",
- "deleted_at",
- "starred",
- ],
- )
- )
+from .image_records_base import ImageRecordStorageBase
+from .image_records_common import (
+ IMAGE_DTO_COLS,
+ ImageCategory,
+ ImageRecord,
+ ImageRecordChanges,
+ ImageRecordDeleteException,
+ ImageRecordNotFoundException,
+ ImageRecordSaveException,
+ ResourceOrigin,
+ deserialize_image_record,
)
-class ImageRecordStorageBase(ABC):
- """Low-level service responsible for interfacing with the image record store."""
-
- # TODO: Implement an `update()` method
-
- @abstractmethod
- def get(self, image_name: str) -> ImageRecord:
- """Gets an image record."""
- pass
-
- @abstractmethod
- def get_metadata(self, image_name: str) -> Optional[dict]:
- """Gets an image's metadata'."""
- pass
-
- @abstractmethod
- def update(
- self,
- image_name: str,
- changes: ImageRecordChanges,
- ) -> None:
- """Updates an image record."""
- pass
-
- @abstractmethod
- def get_many(
- self,
- offset: Optional[int] = None,
- limit: Optional[int] = None,
- image_origin: Optional[ResourceOrigin] = None,
- categories: Optional[list[ImageCategory]] = None,
- is_intermediate: Optional[bool] = None,
- board_id: Optional[str] = None,
- ) -> OffsetPaginatedResults[ImageRecord]:
- """Gets a page of image records."""
- pass
-
- # TODO: The database has a nullable `deleted_at` column, currently unused.
- # Should we implement soft deletes? Would need coordination with ImageFileStorage.
- @abstractmethod
- def delete(self, image_name: str) -> None:
- """Deletes an image record."""
- pass
-
- @abstractmethod
- def delete_many(self, image_names: list[str]) -> None:
- """Deletes many image records."""
- pass
-
- @abstractmethod
- def delete_intermediates(self) -> list[str]:
- """Deletes all intermediate image records, returning a list of deleted image names."""
- pass
-
- @abstractmethod
- def save(
- self,
- image_name: str,
- image_origin: ResourceOrigin,
- image_category: ImageCategory,
- width: int,
- height: int,
- session_id: Optional[str],
- node_id: Optional[str],
- metadata: Optional[dict],
- is_intermediate: bool = False,
- starred: bool = False,
- ) -> datetime:
- """Saves an image record."""
- pass
-
- @abstractmethod
- def get_most_recent_image_for_board(self, board_id: str) -> Optional[ImageRecord]:
- """Gets the most recent image for a board."""
- pass
-
-
class SqliteImageRecordStorage(ImageRecordStorageBase):
_conn: sqlite3.Connection
_cursor: sqlite3.Cursor
- _lock: threading.Lock
+ _lock: threading.RLock
- def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None:
+ def __init__(self, db: SqliteDatabase) -> None:
super().__init__()
- self._conn = conn
- # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
- self._conn.row_factory = sqlite3.Row
+ self._lock = db.lock
+ self._conn = db.conn
self._cursor = self._conn.cursor()
- self._lock = lock
try:
self._lock.acquire()
@@ -245,7 +117,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
"""
)
- def get(self, image_name: str) -> Optional[ImageRecord]:
+ def get(self, image_name: str) -> ImageRecord:
try:
self._lock.acquire()
@@ -351,8 +223,8 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
def get_many(
self,
- offset: Optional[int] = None,
- limit: Optional[int] = None,
+ offset: int = 0,
+ limit: int = 10,
image_origin: Optional[ResourceOrigin] = None,
categories: Optional[list[ImageCategory]] = None,
is_intermediate: Optional[bool] = None,
@@ -377,7 +249,7 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
"""
query_conditions = ""
- query_params = []
+ query_params: list[Union[int, str, bool]] = []
if image_origin is not None:
query_conditions += """--sql
@@ -515,13 +387,13 @@ class SqliteImageRecordStorage(ImageRecordStorageBase):
image_name: str,
image_origin: ResourceOrigin,
image_category: ImageCategory,
- session_id: Optional[str],
width: int,
height: int,
- node_id: Optional[str],
- metadata: Optional[dict],
- is_intermediate: bool = False,
- starred: bool = False,
+ is_intermediate: Optional[bool] = False,
+ starred: Optional[bool] = False,
+ session_id: Optional[str] = None,
+ node_id: Optional[str] = None,
+ metadata: Optional[dict] = None,
) -> datetime:
try:
metadata_json = None if metadata is None else json.dumps(metadata)
diff --git a/invokeai/app/services/images.py b/invokeai/app/services/images.py
deleted file mode 100644
index 08d5093a70..0000000000
--- a/invokeai/app/services/images.py
+++ /dev/null
@@ -1,449 +0,0 @@
-from abc import ABC, abstractmethod
-from logging import Logger
-from typing import TYPE_CHECKING, Callable, Optional
-
-from PIL.Image import Image as PILImageType
-
-from invokeai.app.invocations.metadata import ImageMetadata
-from invokeai.app.models.image import (
- ImageCategory,
- InvalidImageCategoryException,
- InvalidOriginException,
- ResourceOrigin,
-)
-from invokeai.app.services.board_image_record_storage import BoardImageRecordStorageBase
-from invokeai.app.services.image_file_storage import (
- ImageFileDeleteException,
- ImageFileNotFoundException,
- ImageFileSaveException,
- ImageFileStorageBase,
-)
-from invokeai.app.services.image_record_storage import (
- ImageRecordDeleteException,
- ImageRecordNotFoundException,
- ImageRecordSaveException,
- ImageRecordStorageBase,
- OffsetPaginatedResults,
-)
-from invokeai.app.services.item_storage import ItemStorageABC
-from invokeai.app.services.models.image_record import ImageDTO, ImageRecord, ImageRecordChanges, image_record_to_dto
-from invokeai.app.services.resource_name import NameServiceBase
-from invokeai.app.services.urls import UrlServiceBase
-from invokeai.app.util.metadata import get_metadata_graph_from_raw_session
-
-if TYPE_CHECKING:
- from invokeai.app.services.graph import GraphExecutionState
-
-
-class ImageServiceABC(ABC):
- """High-level service for image management."""
-
- _on_changed_callbacks: list[Callable[[ImageDTO], None]]
- _on_deleted_callbacks: list[Callable[[str], None]]
-
- def __init__(self) -> None:
- self._on_changed_callbacks = list()
- self._on_deleted_callbacks = list()
-
- def on_changed(self, on_changed: Callable[[ImageDTO], None]) -> None:
- """Register a callback for when an image is changed"""
- self._on_changed_callbacks.append(on_changed)
-
- def on_deleted(self, on_deleted: Callable[[str], None]) -> None:
- """Register a callback for when an image is deleted"""
- self._on_deleted_callbacks.append(on_deleted)
-
- def _on_changed(self, item: ImageDTO) -> None:
- for callback in self._on_changed_callbacks:
- callback(item)
-
- def _on_deleted(self, item_id: str) -> None:
- for callback in self._on_deleted_callbacks:
- callback(item_id)
-
- @abstractmethod
- def create(
- self,
- image: PILImageType,
- image_origin: ResourceOrigin,
- image_category: ImageCategory,
- node_id: Optional[str] = None,
- session_id: Optional[str] = None,
- board_id: Optional[str] = None,
- is_intermediate: bool = False,
- metadata: Optional[dict] = None,
- workflow: Optional[str] = None,
- ) -> ImageDTO:
- """Creates an image, storing the file and its metadata."""
- pass
-
- @abstractmethod
- def update(
- self,
- image_name: str,
- changes: ImageRecordChanges,
- ) -> ImageDTO:
- """Updates an image."""
- pass
-
- @abstractmethod
- def get_pil_image(self, image_name: str) -> PILImageType:
- """Gets an image as a PIL image."""
- pass
-
- @abstractmethod
- def get_record(self, image_name: str) -> ImageRecord:
- """Gets an image record."""
- pass
-
- @abstractmethod
- def get_dto(self, image_name: str) -> ImageDTO:
- """Gets an image DTO."""
- pass
-
- @abstractmethod
- def get_metadata(self, image_name: str) -> ImageMetadata:
- """Gets an image's metadata."""
- pass
-
- @abstractmethod
- def get_path(self, image_name: str, thumbnail: bool = False) -> str:
- """Gets an image's path."""
- pass
-
- @abstractmethod
- def validate_path(self, path: str) -> bool:
- """Validates an image's path."""
- pass
-
- @abstractmethod
- def get_url(self, image_name: str, thumbnail: bool = False) -> str:
- """Gets an image's or thumbnail's URL."""
- pass
-
- @abstractmethod
- def get_many(
- self,
- offset: int = 0,
- limit: int = 10,
- image_origin: Optional[ResourceOrigin] = None,
- categories: Optional[list[ImageCategory]] = None,
- is_intermediate: Optional[bool] = None,
- board_id: Optional[str] = None,
- ) -> OffsetPaginatedResults[ImageDTO]:
- """Gets a paginated list of image DTOs."""
- pass
-
- @abstractmethod
- def delete(self, image_name: str):
- """Deletes an image."""
- pass
-
- @abstractmethod
- def delete_intermediates(self) -> int:
- """Deletes all intermediate images."""
- pass
-
- @abstractmethod
- def delete_images_on_board(self, board_id: str):
- """Deletes all images on a board."""
- pass
-
-
-class ImageServiceDependencies:
- """Service dependencies for the ImageService."""
-
- image_records: ImageRecordStorageBase
- image_files: ImageFileStorageBase
- board_image_records: BoardImageRecordStorageBase
- urls: UrlServiceBase
- logger: Logger
- names: NameServiceBase
- graph_execution_manager: ItemStorageABC["GraphExecutionState"]
-
- def __init__(
- self,
- image_record_storage: ImageRecordStorageBase,
- image_file_storage: ImageFileStorageBase,
- board_image_record_storage: BoardImageRecordStorageBase,
- url: UrlServiceBase,
- logger: Logger,
- names: NameServiceBase,
- graph_execution_manager: ItemStorageABC["GraphExecutionState"],
- ):
- self.image_records = image_record_storage
- self.image_files = image_file_storage
- self.board_image_records = board_image_record_storage
- self.urls = url
- self.logger = logger
- self.names = names
- self.graph_execution_manager = graph_execution_manager
-
-
-class ImageService(ImageServiceABC):
- _services: ImageServiceDependencies
-
- def __init__(self, services: ImageServiceDependencies):
- super().__init__()
- self._services = services
-
- def create(
- self,
- image: PILImageType,
- image_origin: ResourceOrigin,
- image_category: ImageCategory,
- node_id: Optional[str] = None,
- session_id: Optional[str] = None,
- board_id: Optional[str] = None,
- is_intermediate: bool = False,
- metadata: Optional[dict] = None,
- workflow: Optional[str] = None,
- ) -> ImageDTO:
- if image_origin not in ResourceOrigin:
- raise InvalidOriginException
-
- if image_category not in ImageCategory:
- raise InvalidImageCategoryException
-
- image_name = self._services.names.create_image_name()
-
- # TODO: Do we want to store the graph in the image at all? I don't think so...
- # graph = None
- # if session_id is not None:
- # session_raw = self._services.graph_execution_manager.get_raw(session_id)
- # if session_raw is not None:
- # try:
- # graph = get_metadata_graph_from_raw_session(session_raw)
- # except Exception as e:
- # self._services.logger.warn(f"Failed to parse session graph: {e}")
- # graph = None
-
- (width, height) = image.size
-
- try:
- # TODO: Consider using a transaction here to ensure consistency between storage and database
- self._services.image_records.save(
- # Non-nullable fields
- image_name=image_name,
- image_origin=image_origin,
- image_category=image_category,
- width=width,
- height=height,
- # Meta fields
- is_intermediate=is_intermediate,
- # Nullable fields
- node_id=node_id,
- metadata=metadata,
- session_id=session_id,
- )
- if board_id is not None:
- self._services.board_image_records.add_image_to_board(board_id=board_id, image_name=image_name)
- self._services.image_files.save(image_name=image_name, image=image, metadata=metadata, workflow=workflow)
- image_dto = self.get_dto(image_name)
-
- self._on_changed(image_dto)
- return image_dto
- except ImageRecordSaveException:
- self._services.logger.error("Failed to save image record")
- raise
- except ImageFileSaveException:
- self._services.logger.error("Failed to save image file")
- raise
- except Exception as e:
- self._services.logger.error(f"Problem saving image record and file: {str(e)}")
- raise e
-
- def update(
- self,
- image_name: str,
- changes: ImageRecordChanges,
- ) -> ImageDTO:
- try:
- self._services.image_records.update(image_name, changes)
- image_dto = self.get_dto(image_name)
- self._on_changed(image_dto)
- return image_dto
- except ImageRecordSaveException:
- self._services.logger.error("Failed to update image record")
- raise
- except Exception as e:
- self._services.logger.error("Problem updating image record")
- raise e
-
- def get_pil_image(self, image_name: str) -> PILImageType:
- try:
- return self._services.image_files.get(image_name)
- except ImageFileNotFoundException:
- self._services.logger.error("Failed to get image file")
- raise
- except Exception as e:
- self._services.logger.error("Problem getting image file")
- raise e
-
- def get_record(self, image_name: str) -> ImageRecord:
- try:
- return self._services.image_records.get(image_name)
- except ImageRecordNotFoundException:
- self._services.logger.error("Image record not found")
- raise
- except Exception as e:
- self._services.logger.error("Problem getting image record")
- raise e
-
- def get_dto(self, image_name: str) -> ImageDTO:
- try:
- image_record = self._services.image_records.get(image_name)
-
- image_dto = image_record_to_dto(
- image_record,
- self._services.urls.get_image_url(image_name),
- self._services.urls.get_image_url(image_name, True),
- self._services.board_image_records.get_board_for_image(image_name),
- )
-
- return image_dto
- except ImageRecordNotFoundException:
- self._services.logger.error("Image record not found")
- raise
- except Exception as e:
- self._services.logger.error("Problem getting image DTO")
- raise e
-
- def get_metadata(self, image_name: str) -> Optional[ImageMetadata]:
- try:
- image_record = self._services.image_records.get(image_name)
- metadata = self._services.image_records.get_metadata(image_name)
-
- if not image_record.session_id:
- return ImageMetadata(metadata=metadata)
-
- session_raw = self._services.graph_execution_manager.get_raw(image_record.session_id)
- graph = None
-
- if session_raw:
- try:
- graph = get_metadata_graph_from_raw_session(session_raw)
- except Exception as e:
- self._services.logger.warn(f"Failed to parse session graph: {e}")
- graph = None
-
- return ImageMetadata(graph=graph, metadata=metadata)
- except ImageRecordNotFoundException:
- self._services.logger.error("Image record not found")
- raise
- except Exception as e:
- self._services.logger.error("Problem getting image DTO")
- raise e
-
- def get_path(self, image_name: str, thumbnail: bool = False) -> str:
- try:
- return self._services.image_files.get_path(image_name, thumbnail)
- except Exception as e:
- self._services.logger.error("Problem getting image path")
- raise e
-
- def validate_path(self, path: str) -> bool:
- try:
- return self._services.image_files.validate_path(path)
- except Exception as e:
- self._services.logger.error("Problem validating image path")
- raise e
-
- def get_url(self, image_name: str, thumbnail: bool = False) -> str:
- try:
- return self._services.urls.get_image_url(image_name, thumbnail)
- except Exception as e:
- self._services.logger.error("Problem getting image path")
- raise e
-
- def get_many(
- self,
- offset: int = 0,
- limit: int = 10,
- image_origin: Optional[ResourceOrigin] = None,
- categories: Optional[list[ImageCategory]] = None,
- is_intermediate: Optional[bool] = None,
- board_id: Optional[str] = None,
- ) -> OffsetPaginatedResults[ImageDTO]:
- try:
- results = self._services.image_records.get_many(
- offset,
- limit,
- image_origin,
- categories,
- is_intermediate,
- board_id,
- )
-
- image_dtos = list(
- map(
- lambda r: image_record_to_dto(
- r,
- self._services.urls.get_image_url(r.image_name),
- self._services.urls.get_image_url(r.image_name, True),
- self._services.board_image_records.get_board_for_image(r.image_name),
- ),
- results.items,
- )
- )
-
- return OffsetPaginatedResults[ImageDTO](
- items=image_dtos,
- offset=results.offset,
- limit=results.limit,
- total=results.total,
- )
- except Exception as e:
- self._services.logger.error("Problem getting paginated image DTOs")
- raise e
-
- def delete(self, image_name: str):
- try:
- self._services.image_files.delete(image_name)
- self._services.image_records.delete(image_name)
- self._on_deleted(image_name)
- except ImageRecordDeleteException:
- self._services.logger.error("Failed to delete image record")
- raise
- except ImageFileDeleteException:
- self._services.logger.error("Failed to delete image file")
- raise
- except Exception as e:
- self._services.logger.error("Problem deleting image record and file")
- raise e
-
- def delete_images_on_board(self, board_id: str):
- try:
- image_names = self._services.board_image_records.get_all_board_image_names_for_board(board_id)
- for image_name in image_names:
- self._services.image_files.delete(image_name)
- self._services.image_records.delete_many(image_names)
- for image_name in image_names:
- self._on_deleted(image_name)
- except ImageRecordDeleteException:
- self._services.logger.error("Failed to delete image records")
- raise
- except ImageFileDeleteException:
- self._services.logger.error("Failed to delete image files")
- raise
- except Exception as e:
- self._services.logger.error("Problem deleting image records and files")
- raise e
-
- def delete_intermediates(self) -> int:
- try:
- image_names = self._services.image_records.delete_intermediates()
- count = len(image_names)
- for image_name in image_names:
- self._services.image_files.delete(image_name)
- self._on_deleted(image_name)
- return count
- except ImageRecordDeleteException:
- self._services.logger.error("Failed to delete image records")
- raise
- except ImageFileDeleteException:
- self._services.logger.error("Failed to delete image files")
- raise
- except Exception as e:
- self._services.logger.error("Problem deleting image records and files")
- raise e
diff --git a/invokeai/app/services/images/__init__.py b/invokeai/app/services/images/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/images/images_base.py b/invokeai/app/services/images/images_base.py
new file mode 100644
index 0000000000..a611e9485d
--- /dev/null
+++ b/invokeai/app/services/images/images_base.py
@@ -0,0 +1,129 @@
+from abc import ABC, abstractmethod
+from typing import Callable, Optional
+
+from PIL.Image import Image as PILImageType
+
+from invokeai.app.invocations.metadata import ImageMetadata
+from invokeai.app.services.image_records.image_records_common import (
+ ImageCategory,
+ ImageRecord,
+ ImageRecordChanges,
+ ResourceOrigin,
+)
+from invokeai.app.services.images.images_common import ImageDTO
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+
+
+class ImageServiceABC(ABC):
+ """High-level service for image management."""
+
+ _on_changed_callbacks: list[Callable[[ImageDTO], None]]
+ _on_deleted_callbacks: list[Callable[[str], None]]
+
+ def __init__(self) -> None:
+ self._on_changed_callbacks = list()
+ self._on_deleted_callbacks = list()
+
+ def on_changed(self, on_changed: Callable[[ImageDTO], None]) -> None:
+ """Register a callback for when an image is changed"""
+ self._on_changed_callbacks.append(on_changed)
+
+ def on_deleted(self, on_deleted: Callable[[str], None]) -> None:
+ """Register a callback for when an image is deleted"""
+ self._on_deleted_callbacks.append(on_deleted)
+
+ def _on_changed(self, item: ImageDTO) -> None:
+ for callback in self._on_changed_callbacks:
+ callback(item)
+
+ def _on_deleted(self, item_id: str) -> None:
+ for callback in self._on_deleted_callbacks:
+ callback(item_id)
+
+ @abstractmethod
+ def create(
+ self,
+ image: PILImageType,
+ image_origin: ResourceOrigin,
+ image_category: ImageCategory,
+ node_id: Optional[str] = None,
+ session_id: Optional[str] = None,
+ board_id: Optional[str] = None,
+ is_intermediate: Optional[bool] = False,
+ metadata: Optional[dict] = None,
+ workflow: Optional[str] = None,
+ ) -> ImageDTO:
+ """Creates an image, storing the file and its metadata."""
+ pass
+
+ @abstractmethod
+ def update(
+ self,
+ image_name: str,
+ changes: ImageRecordChanges,
+ ) -> ImageDTO:
+ """Updates an image."""
+ pass
+
+ @abstractmethod
+ def get_pil_image(self, image_name: str) -> PILImageType:
+ """Gets an image as a PIL image."""
+ pass
+
+ @abstractmethod
+ def get_record(self, image_name: str) -> ImageRecord:
+ """Gets an image record."""
+ pass
+
+ @abstractmethod
+ def get_dto(self, image_name: str) -> ImageDTO:
+ """Gets an image DTO."""
+ pass
+
+ @abstractmethod
+ def get_metadata(self, image_name: str) -> ImageMetadata:
+ """Gets an image's metadata."""
+ pass
+
+ @abstractmethod
+ def get_path(self, image_name: str, thumbnail: bool = False) -> str:
+ """Gets an image's path."""
+ pass
+
+ @abstractmethod
+ def validate_path(self, path: str) -> bool:
+ """Validates an image's path."""
+ pass
+
+ @abstractmethod
+ def get_url(self, image_name: str, thumbnail: bool = False) -> str:
+ """Gets an image's or thumbnail's URL."""
+ pass
+
+ @abstractmethod
+ def get_many(
+ self,
+ offset: int = 0,
+ limit: int = 10,
+ image_origin: Optional[ResourceOrigin] = None,
+ categories: Optional[list[ImageCategory]] = None,
+ is_intermediate: Optional[bool] = None,
+ board_id: Optional[str] = None,
+ ) -> OffsetPaginatedResults[ImageDTO]:
+ """Gets a paginated list of image DTOs."""
+ pass
+
+ @abstractmethod
+ def delete(self, image_name: str):
+ """Deletes an image."""
+ pass
+
+ @abstractmethod
+ def delete_intermediates(self) -> int:
+ """Deletes all intermediate images."""
+ pass
+
+ @abstractmethod
+ def delete_images_on_board(self, board_id: str):
+ """Deletes all images on a board."""
+ pass
diff --git a/invokeai/app/services/images/images_common.py b/invokeai/app/services/images/images_common.py
new file mode 100644
index 0000000000..325cecdd26
--- /dev/null
+++ b/invokeai/app/services/images/images_common.py
@@ -0,0 +1,43 @@
+from typing import Optional
+
+from pydantic import Field
+
+from invokeai.app.services.image_records.image_records_common import ImageRecord
+from invokeai.app.util.model_exclude_null import BaseModelExcludeNull
+
+
+class ImageUrlsDTO(BaseModelExcludeNull):
+ """The URLs for an image and its thumbnail."""
+
+ image_name: str = Field(description="The unique name of the image.")
+ """The unique name of the image."""
+ image_url: str = Field(description="The URL of the image.")
+ """The URL of the image."""
+ thumbnail_url: str = Field(description="The URL of the image's thumbnail.")
+ """The URL of the image's thumbnail."""
+
+
+class ImageDTO(ImageRecord, ImageUrlsDTO):
+ """Deserialized image record, enriched for the frontend."""
+
+ board_id: Optional[str] = Field(
+ default=None, description="The id of the board the image belongs to, if one exists."
+ )
+ """The id of the board the image belongs to, if one exists."""
+
+ pass
+
+
+def image_record_to_dto(
+ image_record: ImageRecord,
+ image_url: str,
+ thumbnail_url: str,
+ board_id: Optional[str],
+) -> ImageDTO:
+ """Converts an image record to an image DTO."""
+ return ImageDTO(
+ **image_record.model_dump(),
+ image_url=image_url,
+ thumbnail_url=thumbnail_url,
+ board_id=board_id,
+ )
diff --git a/invokeai/app/services/images/images_default.py b/invokeai/app/services/images/images_default.py
new file mode 100644
index 0000000000..d4e473b8e4
--- /dev/null
+++ b/invokeai/app/services/images/images_default.py
@@ -0,0 +1,286 @@
+from typing import Optional
+
+from PIL.Image import Image as PILImageType
+
+from invokeai.app.invocations.metadata import ImageMetadata
+from invokeai.app.services.invoker import Invoker
+from invokeai.app.services.shared.pagination import OffsetPaginatedResults
+from invokeai.app.util.metadata import get_metadata_graph_from_raw_session
+
+from ..image_files.image_files_common import (
+ ImageFileDeleteException,
+ ImageFileNotFoundException,
+ ImageFileSaveException,
+)
+from ..image_records.image_records_common import (
+ ImageCategory,
+ ImageRecord,
+ ImageRecordChanges,
+ ImageRecordDeleteException,
+ ImageRecordNotFoundException,
+ ImageRecordSaveException,
+ InvalidImageCategoryException,
+ InvalidOriginException,
+ ResourceOrigin,
+)
+from .images_base import ImageServiceABC
+from .images_common import ImageDTO, image_record_to_dto
+
+
+class ImageService(ImageServiceABC):
+ __invoker: Invoker
+
+ def start(self, invoker: Invoker) -> None:
+ self.__invoker = invoker
+
+ def create(
+ self,
+ image: PILImageType,
+ image_origin: ResourceOrigin,
+ image_category: ImageCategory,
+ node_id: Optional[str] = None,
+ session_id: Optional[str] = None,
+ board_id: Optional[str] = None,
+ is_intermediate: Optional[bool] = False,
+ metadata: Optional[dict] = None,
+ workflow: Optional[str] = None,
+ ) -> ImageDTO:
+ if image_origin not in ResourceOrigin:
+ raise InvalidOriginException
+
+ if image_category not in ImageCategory:
+ raise InvalidImageCategoryException
+
+ image_name = self.__invoker.services.names.create_image_name()
+
+ (width, height) = image.size
+
+ try:
+ # TODO: Consider using a transaction here to ensure consistency between storage and database
+ self.__invoker.services.image_records.save(
+ # Non-nullable fields
+ image_name=image_name,
+ image_origin=image_origin,
+ image_category=image_category,
+ width=width,
+ height=height,
+ # Meta fields
+ is_intermediate=is_intermediate,
+ # Nullable fields
+ node_id=node_id,
+ metadata=metadata,
+ session_id=session_id,
+ )
+ if board_id is not None:
+ self.__invoker.services.board_image_records.add_image_to_board(board_id=board_id, image_name=image_name)
+ self.__invoker.services.image_files.save(
+ image_name=image_name, image=image, metadata=metadata, workflow=workflow
+ )
+ image_dto = self.get_dto(image_name)
+
+ self._on_changed(image_dto)
+ return image_dto
+ except ImageRecordSaveException:
+ self.__invoker.services.logger.error("Failed to save image record")
+ raise
+ except ImageFileSaveException:
+ self.__invoker.services.logger.error("Failed to save image file")
+ raise
+ except Exception as e:
+ self.__invoker.services.logger.error(f"Problem saving image record and file: {str(e)}")
+ raise e
+
+ def update(
+ self,
+ image_name: str,
+ changes: ImageRecordChanges,
+ ) -> ImageDTO:
+ try:
+ self.__invoker.services.image_records.update(image_name, changes)
+ image_dto = self.get_dto(image_name)
+ self._on_changed(image_dto)
+ return image_dto
+ except ImageRecordSaveException:
+ self.__invoker.services.logger.error("Failed to update image record")
+ raise
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem updating image record")
+ raise e
+
+ def get_pil_image(self, image_name: str) -> PILImageType:
+ try:
+ return self.__invoker.services.image_files.get(image_name)
+ except ImageFileNotFoundException:
+ self.__invoker.services.logger.error("Failed to get image file")
+ raise
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem getting image file")
+ raise e
+
+ def get_record(self, image_name: str) -> ImageRecord:
+ try:
+ return self.__invoker.services.image_records.get(image_name)
+ except ImageRecordNotFoundException:
+ self.__invoker.services.logger.error("Image record not found")
+ raise
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem getting image record")
+ raise e
+
+ def get_dto(self, image_name: str) -> ImageDTO:
+ try:
+ image_record = self.__invoker.services.image_records.get(image_name)
+
+ image_dto = image_record_to_dto(
+ image_record,
+ self.__invoker.services.urls.get_image_url(image_name),
+ self.__invoker.services.urls.get_image_url(image_name, True),
+ self.__invoker.services.board_image_records.get_board_for_image(image_name),
+ )
+
+ return image_dto
+ except ImageRecordNotFoundException:
+ self.__invoker.services.logger.error("Image record not found")
+ raise
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem getting image DTO")
+ raise e
+
+ def get_metadata(self, image_name: str) -> ImageMetadata:
+ try:
+ image_record = self.__invoker.services.image_records.get(image_name)
+ metadata = self.__invoker.services.image_records.get_metadata(image_name)
+
+ if not image_record.session_id:
+ return ImageMetadata(metadata=metadata)
+
+ session_raw = self.__invoker.services.graph_execution_manager.get_raw(image_record.session_id)
+ graph = None
+
+ if session_raw:
+ try:
+ graph = get_metadata_graph_from_raw_session(session_raw)
+ except Exception as e:
+ self.__invoker.services.logger.warn(f"Failed to parse session graph: {e}")
+ graph = None
+
+ return ImageMetadata(graph=graph, metadata=metadata)
+ except ImageRecordNotFoundException:
+ self.__invoker.services.logger.error("Image record not found")
+ raise
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem getting image DTO")
+ raise e
+
+ def get_path(self, image_name: str, thumbnail: bool = False) -> str:
+ try:
+ return str(self.__invoker.services.image_files.get_path(image_name, thumbnail))
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem getting image path")
+ raise e
+
+ def validate_path(self, path: str) -> bool:
+ try:
+ return self.__invoker.services.image_files.validate_path(path)
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem validating image path")
+ raise e
+
+ def get_url(self, image_name: str, thumbnail: bool = False) -> str:
+ try:
+ return self.__invoker.services.urls.get_image_url(image_name, thumbnail)
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem getting image path")
+ raise e
+
+ def get_many(
+ self,
+ offset: int = 0,
+ limit: int = 10,
+ image_origin: Optional[ResourceOrigin] = None,
+ categories: Optional[list[ImageCategory]] = None,
+ is_intermediate: Optional[bool] = None,
+ board_id: Optional[str] = None,
+ ) -> OffsetPaginatedResults[ImageDTO]:
+ try:
+ results = self.__invoker.services.image_records.get_many(
+ offset,
+ limit,
+ image_origin,
+ categories,
+ is_intermediate,
+ board_id,
+ )
+
+ image_dtos = list(
+ map(
+ lambda r: image_record_to_dto(
+ r,
+ self.__invoker.services.urls.get_image_url(r.image_name),
+ self.__invoker.services.urls.get_image_url(r.image_name, True),
+ self.__invoker.services.board_image_records.get_board_for_image(r.image_name),
+ ),
+ results.items,
+ )
+ )
+
+ return OffsetPaginatedResults[ImageDTO](
+ items=image_dtos,
+ offset=results.offset,
+ limit=results.limit,
+ total=results.total,
+ )
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem getting paginated image DTOs")
+ raise e
+
+ def delete(self, image_name: str):
+ try:
+ self.__invoker.services.image_files.delete(image_name)
+ self.__invoker.services.image_records.delete(image_name)
+ self._on_deleted(image_name)
+ except ImageRecordDeleteException:
+ self.__invoker.services.logger.error("Failed to delete image record")
+ raise
+ except ImageFileDeleteException:
+ self.__invoker.services.logger.error("Failed to delete image file")
+ raise
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem deleting image record and file")
+ raise e
+
+ def delete_images_on_board(self, board_id: str):
+ try:
+ image_names = self.__invoker.services.board_image_records.get_all_board_image_names_for_board(board_id)
+ for image_name in image_names:
+ self.__invoker.services.image_files.delete(image_name)
+ self.__invoker.services.image_records.delete_many(image_names)
+ for image_name in image_names:
+ self._on_deleted(image_name)
+ except ImageRecordDeleteException:
+ self.__invoker.services.logger.error("Failed to delete image records")
+ raise
+ except ImageFileDeleteException:
+ self.__invoker.services.logger.error("Failed to delete image files")
+ raise
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem deleting image records and files")
+ raise e
+
+ def delete_intermediates(self) -> int:
+ try:
+ image_names = self.__invoker.services.image_records.delete_intermediates()
+ count = len(image_names)
+ for image_name in image_names:
+ self.__invoker.services.image_files.delete(image_name)
+ self._on_deleted(image_name)
+ return count
+ except ImageRecordDeleteException:
+ self.__invoker.services.logger.error("Failed to delete image records")
+ raise
+ except ImageFileDeleteException:
+ self.__invoker.services.logger.error("Failed to delete image files")
+ raise
+ except Exception as e:
+ self.__invoker.services.logger.error("Problem deleting image records and files")
+ raise e
diff --git a/invokeai/app/services/invocation_cache/invocation_cache_memory.py b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
index 817dbb958e..4a503b3c6b 100644
--- a/invokeai/app/services/invocation_cache/invocation_cache_memory.py
+++ b/invokeai/app/services/invocation_cache/invocation_cache_memory.py
@@ -58,7 +58,12 @@ class MemoryInvocationCache(InvocationCacheBase):
# If the cache is full, we need to remove the least used
number_to_delete = len(self._cache) + 1 - self._max_cache_size
self._delete_oldest_access(number_to_delete)
- self._cache[key] = CachedItem(invocation_output, invocation_output.json())
+ self._cache[key] = CachedItem(
+ invocation_output,
+ invocation_output.model_dump_json(
+ warnings=False, exclude_defaults=True, exclude_unset=True, include={"type"}
+ ),
+ )
def _delete_oldest_access(self, number_to_delete: int) -> None:
number_to_delete = min(number_to_delete, len(self._cache))
@@ -85,7 +90,7 @@ class MemoryInvocationCache(InvocationCacheBase):
@staticmethod
def create_key(invocation: BaseInvocation) -> int:
- return hash(invocation.json(exclude={"id"}))
+ return hash(invocation.model_dump_json(exclude={"id"}, warnings=False))
def disable(self) -> None:
with self._lock:
diff --git a/invokeai/app/services/invocation_processor/__init__.py b/invokeai/app/services/invocation_processor/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/invocation_processor/invocation_processor_base.py b/invokeai/app/services/invocation_processor/invocation_processor_base.py
new file mode 100644
index 0000000000..04774accc2
--- /dev/null
+++ b/invokeai/app/services/invocation_processor/invocation_processor_base.py
@@ -0,0 +1,5 @@
+from abc import ABC
+
+
+class InvocationProcessorABC(ABC):
+ pass
diff --git a/invokeai/app/services/invocation_processor/invocation_processor_common.py b/invokeai/app/services/invocation_processor/invocation_processor_common.py
new file mode 100644
index 0000000000..347f6c7323
--- /dev/null
+++ b/invokeai/app/services/invocation_processor/invocation_processor_common.py
@@ -0,0 +1,15 @@
+from pydantic import BaseModel, Field
+
+
+class ProgressImage(BaseModel):
+ """The progress image sent intermittently during processing"""
+
+ width: int = Field(description="The effective width of the image in pixels")
+ height: int = Field(description="The effective height of the image in pixels")
+ dataURL: str = Field(description="The image data as a b64 data URL")
+
+
+class CanceledException(Exception):
+ """Execution canceled by user."""
+
+ pass
diff --git a/invokeai/app/services/processor.py b/invokeai/app/services/invocation_processor/invocation_processor_default.py
similarity index 90%
rename from invokeai/app/services/processor.py
rename to invokeai/app/services/invocation_processor/invocation_processor_default.py
index b4c894c52d..c59fb678ef 100644
--- a/invokeai/app/services/processor.py
+++ b/invokeai/app/services/invocation_processor/invocation_processor_default.py
@@ -4,12 +4,12 @@ from threading import BoundedSemaphore, Event, Thread
from typing import Optional
import invokeai.backend.util.logging as logger
+from invokeai.app.invocations.baseinvocation import InvocationContext
+from invokeai.app.services.invocation_queue.invocation_queue_common import InvocationQueueItem
-from ..invocations.baseinvocation import InvocationContext
-from ..models.exceptions import CanceledException
-from .invocation_queue import InvocationQueueItem
-from .invocation_stats import InvocationStatsServiceBase
-from .invoker import InvocationProcessorABC, Invoker
+from ..invoker import Invoker
+from .invocation_processor_base import InvocationProcessorABC
+from .invocation_processor_common import CanceledException
class DefaultInvocationProcessor(InvocationProcessorABC):
@@ -37,7 +37,6 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
def __process(self, stop_event: Event):
try:
self.__threadLimit.acquire()
- statistics: InvocationStatsServiceBase = self.__invoker.services.performance_statistics
queue_item: Optional[InvocationQueueItem] = None
while not stop_event.is_set():
@@ -90,15 +89,14 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
queue_item_id=queue_item.session_queue_item_id,
queue_id=queue_item.session_queue_id,
graph_execution_state_id=graph_execution_state.id,
- node=invocation.dict(),
+ node=invocation.model_dump(),
source_node_id=source_node_id,
)
# Invoke
try:
graph_id = graph_execution_state.id
- model_manager = self.__invoker.services.model_manager
- with statistics.collect_stats(invocation, graph_id, model_manager):
+ with self.__invoker.services.performance_statistics.collect_stats(invocation, graph_id):
# use the internal invoke_internal(), which wraps the node's invoke() method,
# which handles a few things:
# - nodes that require a value, but get it only from a connection
@@ -129,17 +127,17 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
queue_item_id=queue_item.session_queue_item_id,
queue_id=queue_item.session_queue_id,
graph_execution_state_id=graph_execution_state.id,
- node=invocation.dict(),
+ node=invocation.model_dump(),
source_node_id=source_node_id,
- result=outputs.dict(),
+ result=outputs.model_dump(),
)
- statistics.log_stats()
+ self.__invoker.services.performance_statistics.log_stats()
except KeyboardInterrupt:
pass
except CanceledException:
- statistics.reset_stats(graph_execution_state.id)
+ self.__invoker.services.performance_statistics.reset_stats(graph_execution_state.id)
pass
except Exception as e:
@@ -159,12 +157,12 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
queue_item_id=queue_item.session_queue_item_id,
queue_id=queue_item.session_queue_id,
graph_execution_state_id=graph_execution_state.id,
- node=invocation.dict(),
+ node=invocation.model_dump(),
source_node_id=source_node_id,
error_type=e.__class__.__name__,
error=error,
)
- statistics.reset_stats(graph_execution_state.id)
+ self.__invoker.services.performance_statistics.reset_stats(graph_execution_state.id)
pass
# Check queue to see if this is canceled, and skip if so
@@ -189,7 +187,7 @@ class DefaultInvocationProcessor(InvocationProcessorABC):
queue_item_id=queue_item.session_queue_item_id,
queue_id=queue_item.session_queue_id,
graph_execution_state_id=graph_execution_state.id,
- node=invocation.dict(),
+ node=invocation.model_dump(),
source_node_id=source_node_id,
error_type=e.__class__.__name__,
error=traceback.format_exc(),
diff --git a/invokeai/app/services/invocation_queue/__init__.py b/invokeai/app/services/invocation_queue/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/invocation_queue/invocation_queue_base.py b/invokeai/app/services/invocation_queue/invocation_queue_base.py
new file mode 100644
index 0000000000..09f4875c5f
--- /dev/null
+++ b/invokeai/app/services/invocation_queue/invocation_queue_base.py
@@ -0,0 +1,26 @@
+# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
+
+from abc import ABC, abstractmethod
+from typing import Optional
+
+from .invocation_queue_common import InvocationQueueItem
+
+
+class InvocationQueueABC(ABC):
+ """Abstract base class for all invocation queues"""
+
+ @abstractmethod
+ def get(self) -> InvocationQueueItem:
+ pass
+
+ @abstractmethod
+ def put(self, item: Optional[InvocationQueueItem]) -> None:
+ pass
+
+ @abstractmethod
+ def cancel(self, graph_execution_state_id: str) -> None:
+ pass
+
+ @abstractmethod
+ def is_canceled(self, graph_execution_state_id: str) -> bool:
+ pass
diff --git a/invokeai/app/services/invocation_queue/invocation_queue_common.py b/invokeai/app/services/invocation_queue/invocation_queue_common.py
new file mode 100644
index 0000000000..88e72886f7
--- /dev/null
+++ b/invokeai/app/services/invocation_queue/invocation_queue_common.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
+
+import time
+
+from pydantic import BaseModel, Field
+
+
+class InvocationQueueItem(BaseModel):
+ graph_execution_state_id: str = Field(description="The ID of the graph execution state")
+ invocation_id: str = Field(description="The ID of the node being invoked")
+ session_queue_id: str = Field(description="The ID of the session queue from which this invocation queue item came")
+ session_queue_item_id: int = Field(
+ description="The ID of session queue item from which this invocation queue item came"
+ )
+ session_queue_batch_id: str = Field(
+ description="The ID of the session batch from which this invocation queue item came"
+ )
+ invoke_all: bool = Field(default=False)
+ timestamp: float = Field(default_factory=time.time)
diff --git a/invokeai/app/services/invocation_queue.py b/invokeai/app/services/invocation_queue/invocation_queue_memory.py
similarity index 52%
rename from invokeai/app/services/invocation_queue.py
rename to invokeai/app/services/invocation_queue/invocation_queue_memory.py
index 378a9d12cf..33e82fae18 100644
--- a/invokeai/app/services/invocation_queue.py
+++ b/invokeai/app/services/invocation_queue/invocation_queue_memory.py
@@ -1,45 +1,11 @@
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
import time
-from abc import ABC, abstractmethod
from queue import Queue
from typing import Optional
-from pydantic import BaseModel, Field
-
-
-class InvocationQueueItem(BaseModel):
- graph_execution_state_id: str = Field(description="The ID of the graph execution state")
- invocation_id: str = Field(description="The ID of the node being invoked")
- session_queue_id: str = Field(description="The ID of the session queue from which this invocation queue item came")
- session_queue_item_id: int = Field(
- description="The ID of session queue item from which this invocation queue item came"
- )
- session_queue_batch_id: str = Field(
- description="The ID of the session batch from which this invocation queue item came"
- )
- invoke_all: bool = Field(default=False)
- timestamp: float = Field(default_factory=time.time)
-
-
-class InvocationQueueABC(ABC):
- """Abstract base class for all invocation queues"""
-
- @abstractmethod
- def get(self) -> InvocationQueueItem:
- pass
-
- @abstractmethod
- def put(self, item: Optional[InvocationQueueItem]) -> None:
- pass
-
- @abstractmethod
- def cancel(self, graph_execution_state_id: str) -> None:
- pass
-
- @abstractmethod
- def is_canceled(self, graph_execution_state_id: str) -> bool:
- pass
+from .invocation_queue_base import InvocationQueueABC
+from .invocation_queue_common import InvocationQueueItem
class MemoryInvocationQueue(InvocationQueueABC):
diff --git a/invokeai/app/services/invocation_services.py b/invokeai/app/services/invocation_services.py
index e496ff80f2..ba53ea50cf 100644
--- a/invokeai/app/services/invocation_services.py
+++ b/invokeai/app/services/invocation_services.py
@@ -6,21 +6,27 @@ from typing import TYPE_CHECKING
if TYPE_CHECKING:
from logging import Logger
- from invokeai.app.services.board_images import BoardImagesServiceABC
- from invokeai.app.services.boards import BoardServiceABC
- from invokeai.app.services.config import InvokeAIAppConfig
- from invokeai.app.services.events import EventServiceBase
- from invokeai.app.services.graph import GraphExecutionState, LibraryGraph
- from invokeai.app.services.images import ImageServiceABC
- from invokeai.app.services.invocation_cache.invocation_cache_base import InvocationCacheBase
- from invokeai.app.services.invocation_queue import InvocationQueueABC
- from invokeai.app.services.invocation_stats import InvocationStatsServiceBase
- from invokeai.app.services.invoker import InvocationProcessorABC
- from invokeai.app.services.item_storage import ItemStorageABC
- from invokeai.app.services.latent_storage import LatentsStorageBase
- from invokeai.app.services.model_manager_service import ModelManagerServiceBase
- from invokeai.app.services.session_processor.session_processor_base import SessionProcessorBase
- from invokeai.app.services.session_queue.session_queue_base import SessionQueueBase
+ from .board_image_records.board_image_records_base import BoardImageRecordStorageBase
+ from .board_images.board_images_base import BoardImagesServiceABC
+ from .board_records.board_records_base import BoardRecordStorageBase
+ from .boards.boards_base import BoardServiceABC
+ from .config import InvokeAIAppConfig
+ from .events.events_base import EventServiceBase
+ from .image_files.image_files_base import ImageFileStorageBase
+ from .image_records.image_records_base import ImageRecordStorageBase
+ from .images.images_base import ImageServiceABC
+ from .invocation_cache.invocation_cache_base import InvocationCacheBase
+ from .invocation_processor.invocation_processor_base import InvocationProcessorABC
+ from .invocation_queue.invocation_queue_base import InvocationQueueABC
+ from .invocation_stats.invocation_stats_base import InvocationStatsServiceBase
+ from .item_storage.item_storage_base import ItemStorageABC
+ from .latents_storage.latents_storage_base import LatentsStorageBase
+ from .model_manager.model_manager_base import ModelManagerServiceBase
+ from .names.names_base import NameServiceBase
+ from .session_processor.session_processor_base import SessionProcessorBase
+ from .session_queue.session_queue_base import SessionQueueBase
+ from .shared.graph import GraphExecutionState, LibraryGraph
+ from .urls.urls_base import UrlServiceBase
class InvocationServices:
@@ -28,12 +34,16 @@ class InvocationServices:
# TODO: Just forward-declared everything due to circular dependencies. Fix structure.
board_images: "BoardImagesServiceABC"
+ board_image_record_storage: "BoardImageRecordStorageBase"
boards: "BoardServiceABC"
+ board_records: "BoardRecordStorageBase"
configuration: "InvokeAIAppConfig"
events: "EventServiceBase"
graph_execution_manager: "ItemStorageABC[GraphExecutionState]"
graph_library: "ItemStorageABC[LibraryGraph]"
images: "ImageServiceABC"
+ image_records: "ImageRecordStorageBase"
+ image_files: "ImageFileStorageBase"
latents: "LatentsStorageBase"
logger: "Logger"
model_manager: "ModelManagerServiceBase"
@@ -43,16 +53,22 @@ class InvocationServices:
session_queue: "SessionQueueBase"
session_processor: "SessionProcessorBase"
invocation_cache: "InvocationCacheBase"
+ names: "NameServiceBase"
+ urls: "UrlServiceBase"
def __init__(
self,
board_images: "BoardImagesServiceABC",
+ board_image_records: "BoardImageRecordStorageBase",
boards: "BoardServiceABC",
+ board_records: "BoardRecordStorageBase",
configuration: "InvokeAIAppConfig",
events: "EventServiceBase",
graph_execution_manager: "ItemStorageABC[GraphExecutionState]",
graph_library: "ItemStorageABC[LibraryGraph]",
images: "ImageServiceABC",
+ image_files: "ImageFileStorageBase",
+ image_records: "ImageRecordStorageBase",
latents: "LatentsStorageBase",
logger: "Logger",
model_manager: "ModelManagerServiceBase",
@@ -62,14 +78,20 @@ class InvocationServices:
session_queue: "SessionQueueBase",
session_processor: "SessionProcessorBase",
invocation_cache: "InvocationCacheBase",
+ names: "NameServiceBase",
+ urls: "UrlServiceBase",
):
self.board_images = board_images
+ self.board_image_records = board_image_records
self.boards = boards
+ self.board_records = board_records
self.configuration = configuration
self.events = events
self.graph_execution_manager = graph_execution_manager
self.graph_library = graph_library
self.images = images
+ self.image_files = image_files
+ self.image_records = image_records
self.latents = latents
self.logger = logger
self.model_manager = model_manager
@@ -79,3 +101,5 @@ class InvocationServices:
self.session_queue = session_queue
self.session_processor = session_processor
self.invocation_cache = invocation_cache
+ self.names = names
+ self.urls = urls
diff --git a/invokeai/app/services/invocation_stats/__init__.py b/invokeai/app/services/invocation_stats/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/invocation_stats/invocation_stats_base.py b/invokeai/app/services/invocation_stats/invocation_stats_base.py
new file mode 100644
index 0000000000..7db653c3fb
--- /dev/null
+++ b/invokeai/app/services/invocation_stats/invocation_stats_base.py
@@ -0,0 +1,121 @@
+# Copyright 2023 Lincoln D. Stein <lincoln.stein@gmail.com>
+"""Utility to collect execution time and GPU usage stats on invocations in flight
+
+Usage:
+
+statistics = InvocationStatsService(graph_execution_manager)
+with statistics.collect_stats(invocation, graph_execution_state.id):
+ ... execute graphs...
+statistics.log_stats()
+
+Typical output:
+[2023-08-02 18:03:04,507]::[InvokeAI]::INFO --> Graph stats: c7764585-9c68-4d9d-a199-55e8186790f3
+[2023-08-02 18:03:04,507]::[InvokeAI]::INFO --> Node Calls Seconds VRAM Used
+[2023-08-02 18:03:04,507]::[InvokeAI]::INFO --> main_model_loader 1 0.005s 0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> clip_skip 1 0.004s 0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> compel 2 0.512s 0.26G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> rand_int 1 0.001s 0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> range_of_size 1 0.001s 0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> iterate 1 0.001s 0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> metadata_accumulator 1 0.002s 0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> noise 1 0.002s 0.01G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> t2l 1 3.541s 1.93G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> l2i 1 0.679s 0.58G
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> TOTAL GRAPH EXECUTION TIME: 4.749s
+[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> Current VRAM utilization 0.01G
+
+The abstract base class for this class is InvocationStatsServiceBase. An implementing class which
+writes to the system log is stored in InvocationServices.performance_statistics.
+"""
+
+from abc import ABC, abstractmethod
+from contextlib import AbstractContextManager
+from typing import Dict
+
+from invokeai.app.invocations.baseinvocation import BaseInvocation
+from invokeai.backend.model_management.model_cache import CacheStats
+
+from .invocation_stats_common import NodeLog
+
+
+class InvocationStatsServiceBase(ABC):
+ "Abstract base class for recording node memory/time performance statistics"
+
+ # {graph_id => NodeLog}
+ _stats: Dict[str, NodeLog]
+ _cache_stats: Dict[str, CacheStats]
+ ram_used: float
+ ram_changed: float
+
+ @abstractmethod
+ def __init__(self):
+ """
+ Initialize the InvocationStatsService and reset counters to zero
+ """
+ pass
+
+ @abstractmethod
+ def collect_stats(
+ self,
+ invocation: BaseInvocation,
+ graph_execution_state_id: str,
+ ) -> AbstractContextManager:
+ """
+ Return a context object that will capture the statistics on the execution
+ of invocaation. Use with: to place around the part of the code that executes the invocation.
+ :param invocation: BaseInvocation object from the current graph.
+ :param graph_execution_state_id: The id of the current session.
+ """
+ pass
+
+ @abstractmethod
+ def reset_stats(self, graph_execution_state_id: str):
+ """
+ Reset all statistics for the indicated graph
+ :param graph_execution_state_id
+ """
+ pass
+
+ @abstractmethod
+ def reset_all_stats(self):
+ """Zero all statistics"""
+ pass
+
+ @abstractmethod
+ def update_invocation_stats(
+ self,
+ graph_id: str,
+ invocation_type: str,
+ time_used: float,
+ vram_used: float,
+ ):
+ """
+ Add timing information on execution of a node. Usually
+ used internally.
+ :param graph_id: ID of the graph that is currently executing
+ :param invocation_type: String literal type of the node
+ :param time_used: Time used by node's exection (sec)
+ :param vram_used: Maximum VRAM used during exection (GB)
+ """
+ pass
+
+ @abstractmethod
+ def log_stats(self):
+ """
+ Write out the accumulated statistics to the log or somewhere else.
+ """
+ pass
+
+ @abstractmethod
+ def update_mem_stats(
+ self,
+ ram_used: float,
+ ram_changed: float,
+ ):
+ """
+ Update the collector with RAM memory usage info.
+
+ :param ram_used: How much RAM is currently in use.
+ :param ram_changed: How much RAM changed since last generation.
+ """
+ pass
diff --git a/invokeai/app/services/invocation_stats/invocation_stats_common.py b/invokeai/app/services/invocation_stats/invocation_stats_common.py
new file mode 100644
index 0000000000..19b954f6da
--- /dev/null
+++ b/invokeai/app/services/invocation_stats/invocation_stats_common.py
@@ -0,0 +1,25 @@
+from dataclasses import dataclass, field
+from typing import Dict
+
+# size of GIG in bytes
+GIG = 1073741824
+
+
+@dataclass
+class NodeStats:
+ """Class for tracking execution stats of an invocation node"""
+
+ calls: int = 0
+ time_used: float = 0.0 # seconds
+ max_vram: float = 0.0 # GB
+ cache_hits: int = 0
+ cache_misses: int = 0
+ cache_high_watermark: int = 0
+
+
+@dataclass
+class NodeLog:
+ """Class for tracking node usage"""
+
+ # {node_type => NodeStats}
+ nodes: Dict[str, NodeStats] = field(default_factory=dict)
diff --git a/invokeai/app/services/invocation_stats.py b/invokeai/app/services/invocation_stats/invocation_stats_default.py
similarity index 50%
rename from invokeai/app/services/invocation_stats.py
rename to invokeai/app/services/invocation_stats/invocation_stats_default.py
index 33932f73aa..be019b6820 100644
--- a/invokeai/app/services/invocation_stats.py
+++ b/invokeai/app/services/invocation_stats/invocation_stats_default.py
@@ -1,171 +1,35 @@
-# Copyright 2023 Lincoln D. Stein <lincoln.stein@gmail.com>
-"""Utility to collect execution time and GPU usage stats on invocations in flight
-
-Usage:
-
-statistics = InvocationStatsService(graph_execution_manager)
-with statistics.collect_stats(invocation, graph_execution_state.id):
- ... execute graphs...
-statistics.log_stats()
-
-Typical output:
-[2023-08-02 18:03:04,507]::[InvokeAI]::INFO --> Graph stats: c7764585-9c68-4d9d-a199-55e8186790f3
-[2023-08-02 18:03:04,507]::[InvokeAI]::INFO --> Node Calls Seconds VRAM Used
-[2023-08-02 18:03:04,507]::[InvokeAI]::INFO --> main_model_loader 1 0.005s 0.01G
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> clip_skip 1 0.004s 0.01G
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> compel 2 0.512s 0.26G
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> rand_int 1 0.001s 0.01G
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> range_of_size 1 0.001s 0.01G
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> iterate 1 0.001s 0.01G
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> metadata_accumulator 1 0.002s 0.01G
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> noise 1 0.002s 0.01G
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> t2l 1 3.541s 1.93G
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> l2i 1 0.679s 0.58G
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> TOTAL GRAPH EXECUTION TIME: 4.749s
-[2023-08-02 18:03:04,508]::[InvokeAI]::INFO --> Current VRAM utilization 0.01G
-
-The abstract base class for this class is InvocationStatsServiceBase. An implementing class which
-writes to the system log is stored in InvocationServices.performance_statistics.
-"""
-
import time
-from abc import ABC, abstractmethod
-from contextlib import AbstractContextManager
-from dataclasses import dataclass, field
from typing import Dict
import psutil
import torch
import invokeai.backend.util.logging as logger
+from invokeai.app.invocations.baseinvocation import BaseInvocation
+from invokeai.app.services.invoker import Invoker
+from invokeai.app.services.model_manager.model_manager_base import ModelManagerServiceBase
from invokeai.backend.model_management.model_cache import CacheStats
-from ..invocations.baseinvocation import BaseInvocation
-from .graph import GraphExecutionState
-from .item_storage import ItemStorageABC
-from .model_manager_service import ModelManagerService
-
-# size of GIG in bytes
-GIG = 1073741824
-
-
-@dataclass
-class NodeStats:
- """Class for tracking execution stats of an invocation node"""
-
- calls: int = 0
- time_used: float = 0.0 # seconds
- max_vram: float = 0.0 # GB
- cache_hits: int = 0
- cache_misses: int = 0
- cache_high_watermark: int = 0
-
-
-@dataclass
-class NodeLog:
- """Class for tracking node usage"""
-
- # {node_type => NodeStats}
- nodes: Dict[str, NodeStats] = field(default_factory=dict)
-
-
-class InvocationStatsServiceBase(ABC):
- "Abstract base class for recording node memory/time performance statistics"
-
- graph_execution_manager: ItemStorageABC["GraphExecutionState"]
- # {graph_id => NodeLog}
- _stats: Dict[str, NodeLog]
- _cache_stats: Dict[str, CacheStats]
- ram_used: float
- ram_changed: float
-
- @abstractmethod
- def __init__(self, graph_execution_manager: ItemStorageABC["GraphExecutionState"]):
- """
- Initialize the InvocationStatsService and reset counters to zero
- :param graph_execution_manager: Graph execution manager for this session
- """
- pass
-
- @abstractmethod
- def collect_stats(
- self,
- invocation: BaseInvocation,
- graph_execution_state_id: str,
- ) -> AbstractContextManager:
- """
- Return a context object that will capture the statistics on the execution
- of invocaation. Use with: to place around the part of the code that executes the invocation.
- :param invocation: BaseInvocation object from the current graph.
- :param graph_execution_state: GraphExecutionState object from the current session.
- """
- pass
-
- @abstractmethod
- def reset_stats(self, graph_execution_state_id: str):
- """
- Reset all statistics for the indicated graph
- :param graph_execution_state_id
- """
- pass
-
- @abstractmethod
- def reset_all_stats(self):
- """Zero all statistics"""
- pass
-
- @abstractmethod
- def update_invocation_stats(
- self,
- graph_id: str,
- invocation_type: str,
- time_used: float,
- vram_used: float,
- ):
- """
- Add timing information on execution of a node. Usually
- used internally.
- :param graph_id: ID of the graph that is currently executing
- :param invocation_type: String literal type of the node
- :param time_used: Time used by node's exection (sec)
- :param vram_used: Maximum VRAM used during exection (GB)
- """
- pass
-
- @abstractmethod
- def log_stats(self):
- """
- Write out the accumulated statistics to the log or somewhere else.
- """
- pass
-
- @abstractmethod
- def update_mem_stats(
- self,
- ram_used: float,
- ram_changed: float,
- ):
- """
- Update the collector with RAM memory usage info.
-
- :param ram_used: How much RAM is currently in use.
- :param ram_changed: How much RAM changed since last generation.
- """
- pass
+from .invocation_stats_base import InvocationStatsServiceBase
+from .invocation_stats_common import GIG, NodeLog, NodeStats
class InvocationStatsService(InvocationStatsServiceBase):
"""Accumulate performance information about a running graph. Collects time spent in each node,
as well as the maximum and current VRAM utilisation for CUDA systems"""
- def __init__(self, graph_execution_manager: ItemStorageABC["GraphExecutionState"]):
- self.graph_execution_manager = graph_execution_manager
+ _invoker: Invoker
+
+ def __init__(self):
# {graph_id => NodeLog}
self._stats: Dict[str, NodeLog] = {}
self._cache_stats: Dict[str, CacheStats] = {}
self.ram_used: float = 0.0
self.ram_changed: float = 0.0
+ def start(self, invoker: Invoker) -> None:
+ self._invoker = invoker
+
class StatsContext:
"""Context manager for collecting statistics."""
@@ -174,13 +38,13 @@ class InvocationStatsService(InvocationStatsServiceBase):
graph_id: str
start_time: float
ram_used: int
- model_manager: ModelManagerService
+ model_manager: ModelManagerServiceBase
def __init__(
self,
invocation: BaseInvocation,
graph_id: str,
- model_manager: ModelManagerService,
+ model_manager: ModelManagerServiceBase,
collector: "InvocationStatsServiceBase",
):
"""Initialize statistics for this run."""
@@ -208,7 +72,7 @@ class InvocationStatsService(InvocationStatsServiceBase):
)
self.collector.update_invocation_stats(
graph_id=self.graph_id,
- invocation_type=self.invocation.type, # type: ignore - `type` is not on the `BaseInvocation` model, but *is* on all invocations
+ invocation_type=self.invocation.type, # type: ignore # `type` is not on the `BaseInvocation` model, but *is* on all invocations
time_used=time.time() - self.start_time,
vram_used=torch.cuda.max_memory_allocated() / GIG if torch.cuda.is_available() else 0.0,
)
@@ -217,12 +81,11 @@ class InvocationStatsService(InvocationStatsServiceBase):
self,
invocation: BaseInvocation,
graph_execution_state_id: str,
- model_manager: ModelManagerService,
) -> StatsContext:
if not self._stats.get(graph_execution_state_id): # first time we're seeing this
self._stats[graph_execution_state_id] = NodeLog()
self._cache_stats[graph_execution_state_id] = CacheStats()
- return self.StatsContext(invocation, graph_execution_state_id, model_manager, self)
+ return self.StatsContext(invocation, graph_execution_state_id, self._invoker.services.model_manager, self)
def reset_all_stats(self):
"""Zero all statistics"""
@@ -261,7 +124,7 @@ class InvocationStatsService(InvocationStatsServiceBase):
errored = set()
for graph_id, node_log in self._stats.items():
try:
- current_graph_state = self.graph_execution_manager.get(graph_id)
+ current_graph_state = self._invoker.services.graph_execution_manager.get(graph_id)
except Exception:
errored.add(graph_id)
continue
diff --git a/invokeai/app/services/invoker.py b/invokeai/app/services/invoker.py
index 0c98fc285c..134bec2693 100644
--- a/invokeai/app/services/invoker.py
+++ b/invokeai/app/services/invoker.py
@@ -1,11 +1,10 @@
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
-from abc import ABC
from typing import Optional
-from .graph import Graph, GraphExecutionState
-from .invocation_queue import InvocationQueueItem
+from .invocation_queue.invocation_queue_common import InvocationQueueItem
from .invocation_services import InvocationServices
+from .shared.graph import Graph, GraphExecutionState
class Invoker:
@@ -84,7 +83,3 @@ class Invoker:
self.__stop_service(getattr(self.services, service))
self.services.queue.put(None)
-
-
-class InvocationProcessorABC(ABC):
- pass
diff --git a/invokeai/app/services/item_storage/__init__.py b/invokeai/app/services/item_storage/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/item_storage.py b/invokeai/app/services/item_storage/item_storage_base.py
similarity index 78%
rename from invokeai/app/services/item_storage.py
rename to invokeai/app/services/item_storage/item_storage_base.py
index 5fe4eb7456..1446c0cd08 100644
--- a/invokeai/app/services/item_storage.py
+++ b/invokeai/app/services/item_storage/item_storage_base.py
@@ -1,25 +1,16 @@
from abc import ABC, abstractmethod
from typing import Callable, Generic, Optional, TypeVar
-from pydantic import BaseModel, Field
-from pydantic.generics import GenericModel
+from pydantic import BaseModel
+
+from invokeai.app.services.shared.pagination import PaginatedResults
T = TypeVar("T", bound=BaseModel)
-class PaginatedResults(GenericModel, Generic[T]):
- """Paginated results"""
-
- # fmt: off
- items: list[T] = Field(description="Items")
- page: int = Field(description="Current Page")
- pages: int = Field(description="Total number of pages")
- per_page: int = Field(description="Number of items per page")
- total: int = Field(description="Total number of items in result")
- # fmt: on
-
-
class ItemStorageABC(ABC, Generic[T]):
+ """Provides storage for a single type of item. The type must be a Pydantic model."""
+
_on_changed_callbacks: list[Callable[[T], None]]
_on_deleted_callbacks: list[Callable[[str], None]]
diff --git a/invokeai/app/services/sqlite.py b/invokeai/app/services/item_storage/item_storage_sqlite.py
similarity index 79%
rename from invokeai/app/services/sqlite.py
rename to invokeai/app/services/item_storage/item_storage_sqlite.py
index 63f3356b3c..1bb9429130 100644
--- a/invokeai/app/services/sqlite.py
+++ b/invokeai/app/services/item_storage/item_storage_sqlite.py
@@ -2,30 +2,33 @@ import sqlite3
import threading
from typing import Generic, Optional, TypeVar, get_args
-from pydantic import BaseModel, parse_raw_as
+from pydantic import BaseModel, TypeAdapter
-from .item_storage import ItemStorageABC, PaginatedResults
+from invokeai.app.services.shared.pagination import PaginatedResults
+from invokeai.app.services.shared.sqlite import SqliteDatabase
+
+from .item_storage_base import ItemStorageABC
T = TypeVar("T", bound=BaseModel)
-sqlite_memory = ":memory:"
-
class SqliteItemStorage(ItemStorageABC, Generic[T]):
_table_name: str
_conn: sqlite3.Connection
_cursor: sqlite3.Cursor
_id_field: str
- _lock: threading.Lock
+ _lock: threading.RLock
+ _adapter: Optional[TypeAdapter[T]]
- def __init__(self, conn: sqlite3.Connection, table_name: str, lock: threading.Lock, id_field: str = "id"):
+ def __init__(self, db: SqliteDatabase, table_name: str, id_field: str = "id"):
super().__init__()
+ self._lock = db.lock
+ self._conn = db.conn
self._table_name = table_name
self._id_field = id_field # TODO: validate that T has this field
- self._lock = lock
- self._conn = conn
self._cursor = self._conn.cursor()
+ self._adapter: Optional[TypeAdapter[T]] = None
self._create_table()
@@ -44,15 +47,21 @@ class SqliteItemStorage(ItemStorageABC, Generic[T]):
self._lock.release()
def _parse_item(self, item: str) -> T:
- item_type = get_args(self.__orig_class__)[0]
- return parse_raw_as(item_type, item)
+ if self._adapter is None:
+ """
+ We don't get access to `__orig_class__` in `__init__()`, and we need this before start(), so
+ we can create it when it is first needed instead.
+ __orig_class__ is technically an implementation detail of the typing module, not a supported API
+ """
+ self._adapter = TypeAdapter(get_args(self.__orig_class__)[0]) # type: ignore [attr-defined]
+ return self._adapter.validate_json(item)
def set(self, item: T):
try:
self._lock.acquire()
self._cursor.execute(
f"""INSERT OR REPLACE INTO {self._table_name} (item) VALUES (?);""",
- (item.json(),),
+ (item.model_dump_json(warnings=False, exclude_none=True),),
)
self._conn.commit()
finally:
diff --git a/invokeai/app/services/latent_storage.py b/invokeai/app/services/latent_storage.py
deleted file mode 100644
index 8605ef5abd..0000000000
--- a/invokeai/app/services/latent_storage.py
+++ /dev/null
@@ -1,119 +0,0 @@
-# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
-
-from abc import ABC, abstractmethod
-from pathlib import Path
-from queue import Queue
-from typing import Callable, Dict, Optional, Union
-
-import torch
-
-
-class LatentsStorageBase(ABC):
- """Responsible for storing and retrieving latents."""
-
- _on_changed_callbacks: list[Callable[[torch.Tensor], None]]
- _on_deleted_callbacks: list[Callable[[str], None]]
-
- def __init__(self) -> None:
- self._on_changed_callbacks = list()
- self._on_deleted_callbacks = list()
-
- @abstractmethod
- def get(self, name: str) -> torch.Tensor:
- pass
-
- @abstractmethod
- def save(self, name: str, data: torch.Tensor) -> None:
- pass
-
- @abstractmethod
- def delete(self, name: str) -> None:
- pass
-
- def on_changed(self, on_changed: Callable[[torch.Tensor], None]) -> None:
- """Register a callback for when an item is changed"""
- self._on_changed_callbacks.append(on_changed)
-
- def on_deleted(self, on_deleted: Callable[[str], None]) -> None:
- """Register a callback for when an item is deleted"""
- self._on_deleted_callbacks.append(on_deleted)
-
- def _on_changed(self, item: torch.Tensor) -> None:
- for callback in self._on_changed_callbacks:
- callback(item)
-
- def _on_deleted(self, item_id: str) -> None:
- for callback in self._on_deleted_callbacks:
- callback(item_id)
-
-
-class ForwardCacheLatentsStorage(LatentsStorageBase):
- """Caches the latest N latents in memory, writing-thorugh to and reading from underlying storage"""
-
- __cache: Dict[str, torch.Tensor]
- __cache_ids: Queue
- __max_cache_size: int
- __underlying_storage: LatentsStorageBase
-
- def __init__(self, underlying_storage: LatentsStorageBase, max_cache_size: int = 20):
- super().__init__()
- self.__underlying_storage = underlying_storage
- self.__cache = dict()
- self.__cache_ids = Queue()
- self.__max_cache_size = max_cache_size
-
- def get(self, name: str) -> torch.Tensor:
- cache_item = self.__get_cache(name)
- if cache_item is not None:
- return cache_item
-
- latent = self.__underlying_storage.get(name)
- self.__set_cache(name, latent)
- return latent
-
- def save(self, name: str, data: torch.Tensor) -> None:
- self.__underlying_storage.save(name, data)
- self.__set_cache(name, data)
- self._on_changed(data)
-
- def delete(self, name: str) -> None:
- self.__underlying_storage.delete(name)
- if name in self.__cache:
- del self.__cache[name]
- self._on_deleted(name)
-
- def __get_cache(self, name: str) -> Optional[torch.Tensor]:
- return None if name not in self.__cache else self.__cache[name]
-
- def __set_cache(self, name: str, data: torch.Tensor):
- if name not in self.__cache:
- self.__cache[name] = data
- self.__cache_ids.put(name)
- if self.__cache_ids.qsize() > self.__max_cache_size:
- self.__cache.pop(self.__cache_ids.get())
-
-
-class DiskLatentsStorage(LatentsStorageBase):
- """Stores latents in a folder on disk without caching"""
-
- __output_folder: Union[str, Path]
-
- def __init__(self, output_folder: Union[str, Path]):
- self.__output_folder = output_folder if isinstance(output_folder, Path) else Path(output_folder)
- self.__output_folder.mkdir(parents=True, exist_ok=True)
-
- def get(self, name: str) -> torch.Tensor:
- latent_path = self.get_path(name)
- return torch.load(latent_path)
-
- def save(self, name: str, data: torch.Tensor) -> None:
- self.__output_folder.mkdir(parents=True, exist_ok=True)
- latent_path = self.get_path(name)
- torch.save(data, latent_path)
-
- def delete(self, name: str) -> None:
- latent_path = self.get_path(name)
- latent_path.unlink()
-
- def get_path(self, name: str) -> Path:
- return self.__output_folder / name
diff --git a/invokeai/app/services/latents_storage/__init__.py b/invokeai/app/services/latents_storage/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/latents_storage/latents_storage_base.py b/invokeai/app/services/latents_storage/latents_storage_base.py
new file mode 100644
index 0000000000..4850a477d3
--- /dev/null
+++ b/invokeai/app/services/latents_storage/latents_storage_base.py
@@ -0,0 +1,45 @@
+# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
+
+from abc import ABC, abstractmethod
+from typing import Callable
+
+import torch
+
+
+class LatentsStorageBase(ABC):
+ """Responsible for storing and retrieving latents."""
+
+ _on_changed_callbacks: list[Callable[[torch.Tensor], None]]
+ _on_deleted_callbacks: list[Callable[[str], None]]
+
+ def __init__(self) -> None:
+ self._on_changed_callbacks = list()
+ self._on_deleted_callbacks = list()
+
+ @abstractmethod
+ def get(self, name: str) -> torch.Tensor:
+ pass
+
+ @abstractmethod
+ def save(self, name: str, data: torch.Tensor) -> None:
+ pass
+
+ @abstractmethod
+ def delete(self, name: str) -> None:
+ pass
+
+ def on_changed(self, on_changed: Callable[[torch.Tensor], None]) -> None:
+ """Register a callback for when an item is changed"""
+ self._on_changed_callbacks.append(on_changed)
+
+ def on_deleted(self, on_deleted: Callable[[str], None]) -> None:
+ """Register a callback for when an item is deleted"""
+ self._on_deleted_callbacks.append(on_deleted)
+
+ def _on_changed(self, item: torch.Tensor) -> None:
+ for callback in self._on_changed_callbacks:
+ callback(item)
+
+ def _on_deleted(self, item_id: str) -> None:
+ for callback in self._on_deleted_callbacks:
+ callback(item_id)
diff --git a/invokeai/app/services/latents_storage/latents_storage_disk.py b/invokeai/app/services/latents_storage/latents_storage_disk.py
new file mode 100644
index 0000000000..6e7010bae0
--- /dev/null
+++ b/invokeai/app/services/latents_storage/latents_storage_disk.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
+
+from pathlib import Path
+from typing import Union
+
+import torch
+
+from .latents_storage_base import LatentsStorageBase
+
+
+class DiskLatentsStorage(LatentsStorageBase):
+ """Stores latents in a folder on disk without caching"""
+
+ __output_folder: Path
+
+ def __init__(self, output_folder: Union[str, Path]):
+ self.__output_folder = output_folder if isinstance(output_folder, Path) else Path(output_folder)
+ self.__output_folder.mkdir(parents=True, exist_ok=True)
+
+ def get(self, name: str) -> torch.Tensor:
+ latent_path = self.get_path(name)
+ return torch.load(latent_path)
+
+ def save(self, name: str, data: torch.Tensor) -> None:
+ self.__output_folder.mkdir(parents=True, exist_ok=True)
+ latent_path = self.get_path(name)
+ torch.save(data, latent_path)
+
+ def delete(self, name: str) -> None:
+ latent_path = self.get_path(name)
+ latent_path.unlink()
+
+ def get_path(self, name: str) -> Path:
+ return self.__output_folder / name
diff --git a/invokeai/app/services/latents_storage/latents_storage_forward_cache.py b/invokeai/app/services/latents_storage/latents_storage_forward_cache.py
new file mode 100644
index 0000000000..5248362ff5
--- /dev/null
+++ b/invokeai/app/services/latents_storage/latents_storage_forward_cache.py
@@ -0,0 +1,54 @@
+# Copyright (c) 2023 Kyle Schouviller (https://github.com/kyle0654)
+
+from queue import Queue
+from typing import Dict, Optional
+
+import torch
+
+from .latents_storage_base import LatentsStorageBase
+
+
+class ForwardCacheLatentsStorage(LatentsStorageBase):
+ """Caches the latest N latents in memory, writing-thorugh to and reading from underlying storage"""
+
+ __cache: Dict[str, torch.Tensor]
+ __cache_ids: Queue
+ __max_cache_size: int
+ __underlying_storage: LatentsStorageBase
+
+ def __init__(self, underlying_storage: LatentsStorageBase, max_cache_size: int = 20):
+ super().__init__()
+ self.__underlying_storage = underlying_storage
+ self.__cache = dict()
+ self.__cache_ids = Queue()
+ self.__max_cache_size = max_cache_size
+
+ def get(self, name: str) -> torch.Tensor:
+ cache_item = self.__get_cache(name)
+ if cache_item is not None:
+ return cache_item
+
+ latent = self.__underlying_storage.get(name)
+ self.__set_cache(name, latent)
+ return latent
+
+ def save(self, name: str, data: torch.Tensor) -> None:
+ self.__underlying_storage.save(name, data)
+ self.__set_cache(name, data)
+ self._on_changed(data)
+
+ def delete(self, name: str) -> None:
+ self.__underlying_storage.delete(name)
+ if name in self.__cache:
+ del self.__cache[name]
+ self._on_deleted(name)
+
+ def __get_cache(self, name: str) -> Optional[torch.Tensor]:
+ return None if name not in self.__cache else self.__cache[name]
+
+ def __set_cache(self, name: str, data: torch.Tensor):
+ if name not in self.__cache:
+ self.__cache[name] = data
+ self.__cache_ids.put(name)
+ if self.__cache_ids.qsize() > self.__max_cache_size:
+ self.__cache.pop(self.__cache_ids.get())
diff --git a/invokeai/app/services/model_manager/__init__.py b/invokeai/app/services/model_manager/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/model_manager/model_manager_base.py b/invokeai/app/services/model_manager/model_manager_base.py
new file mode 100644
index 0000000000..4c2fc4c085
--- /dev/null
+++ b/invokeai/app/services/model_manager/model_manager_base.py
@@ -0,0 +1,286 @@
+# Copyright (c) 2023 Lincoln D. Stein and the InvokeAI Team
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from logging import Logger
+from pathlib import Path
+from typing import TYPE_CHECKING, Callable, List, Literal, Optional, Tuple, Union
+
+from pydantic import Field
+
+from invokeai.app.services.config.config_default import InvokeAIAppConfig
+from invokeai.backend.model_management import (
+ AddModelResult,
+ BaseModelType,
+ MergeInterpolationMethod,
+ ModelInfo,
+ ModelType,
+ SchedulerPredictionType,
+ SubModelType,
+)
+from invokeai.backend.model_management.model_cache import CacheStats
+
+if TYPE_CHECKING:
+ from invokeai.app.invocations.baseinvocation import BaseInvocation, InvocationContext
+
+
+class ModelManagerServiceBase(ABC):
+ """Responsible for managing models on disk and in memory"""
+
+ @abstractmethod
+ def __init__(
+ self,
+ config: InvokeAIAppConfig,
+ logger: Logger,
+ ):
+ """
+ Initialize with the path to the models.yaml config file.
+ Optional parameters are the torch device type, precision, max_models,
+ and sequential_offload boolean. Note that the default device
+ type and precision are set up for a CUDA system running at half precision.
+ """
+ pass
+
+ @abstractmethod
+ def get_model(
+ self,
+ model_name: str,
+ base_model: BaseModelType,
+ model_type: ModelType,
+ submodel: Optional[SubModelType] = None,
+ node: Optional[BaseInvocation] = None,
+ context: Optional[InvocationContext] = None,
+ ) -> ModelInfo:
+ """Retrieve the indicated model with name and type.
+ submodel can be used to get a part (such as the vae)
+ of a diffusers pipeline."""
+ pass
+
+ @property
+ @abstractmethod
+ def logger(self):
+ pass
+
+ @abstractmethod
+ def model_exists(
+ self,
+ model_name: str,
+ base_model: BaseModelType,
+ model_type: ModelType,
+ ) -> bool:
+ pass
+
+ @abstractmethod
+ def model_info(self, model_name: str, base_model: BaseModelType, model_type: ModelType) -> dict:
+ """
+ Given a model name returns a dict-like (OmegaConf) object describing it.
+ Uses the exact format as the omegaconf stanza.
+ """
+ pass
+
+ @abstractmethod
+ def list_models(self, base_model: Optional[BaseModelType] = None, model_type: Optional[ModelType] = None) -> dict:
+ """
+ Return a dict of models in the format:
+ { model_type1:
+ { model_name1: {'status': 'active'|'cached'|'not loaded',
+ 'model_name' : name,
+ 'model_type' : SDModelType,
+ 'description': description,
+ 'format': 'folder'|'safetensors'|'ckpt'
+ },
+ model_name2: { etc }
+ },
+ model_type2:
+ { model_name_n: etc
+ }
+ """
+ pass
+
+ @abstractmethod
+ def list_model(self, model_name: str, base_model: BaseModelType, model_type: ModelType) -> dict:
+ """
+ Return information about the model using the same format as list_models()
+ """
+ pass
+
+ @abstractmethod
+ def model_names(self) -> List[Tuple[str, BaseModelType, ModelType]]:
+ """
+ Returns a list of all the model names known.
+ """
+ pass
+
+ @abstractmethod
+ def add_model(
+ self,
+ model_name: str,
+ base_model: BaseModelType,
+ model_type: ModelType,
+ model_attributes: dict,
+ clobber: bool = False,
+ ) -> AddModelResult:
+ """
+ Update the named model with a dictionary of attributes. Will fail with an
+ assertion error if the name already exists. Pass clobber=True to overwrite.
+ On a successful update, the config will be changed in memory. Will fail
+ with an assertion error if provided attributes are incorrect or
+ the model name is missing. Call commit() to write changes to disk.
+ """
+ pass
+
+ @abstractmethod
+ def update_model(
+ self,
+ model_name: str,
+ base_model: BaseModelType,
+ model_type: ModelType,
+ model_attributes: dict,
+ ) -> AddModelResult:
+ """
+ Update the named model with a dictionary of attributes. Will fail with a
+ ModelNotFoundException if the name does not already exist.
+
+ On a successful update, the config will be changed in memory. Will fail
+ with an assertion error if provided attributes are incorrect or
+ the model name is missing. Call commit() to write changes to disk.
+ """
+ pass
+
+ @abstractmethod
+ def del_model(
+ self,
+ model_name: str,
+ base_model: BaseModelType,
+ model_type: ModelType,
+ ):
+ """
+ Delete the named model from configuration. If delete_files is true,
+ then the underlying weight file or diffusers directory will be deleted
+ as well. Call commit() to write to disk.
+ """
+ pass
+
+ @abstractmethod
+ def rename_model(
+ self,
+ model_name: str,
+ base_model: BaseModelType,
+ model_type: ModelType,
+ new_name: str,
+ ):
+ """
+ Rename the indicated model.
+ """
+ pass
+
+ @abstractmethod
+ def list_checkpoint_configs(self) -> List[Path]:
+ """
+ List the checkpoint config paths from ROOT/configs/stable-diffusion.
+ """
+ pass
+
+ @abstractmethod
+ def convert_model(
+ self,
+ model_name: str,
+ base_model: BaseModelType,
+ model_type: Literal[ModelType.Main, ModelType.Vae],
+ ) -> AddModelResult:
+ """
+ Convert a checkpoint file into a diffusers folder, deleting the cached
+ version and deleting the original checkpoint file if it is in the models
+ directory.
+ :param model_name: Name of the model to convert
+ :param base_model: Base model type
+ :param model_type: Type of model ['vae' or 'main']
+
+ This will raise a ValueError unless the model is not a checkpoint. It will
+ also raise a ValueError in the event that there is a similarly-named diffusers
+ directory already in place.
+ """
+ pass
+
+ @abstractmethod
+ def heuristic_import(
+ self,
+ items_to_import: set[str],
+ prediction_type_helper: Optional[Callable[[Path], SchedulerPredictionType]] = None,
+ ) -> dict[str, AddModelResult]:
+ """Import a list of paths, repo_ids or URLs. Returns the set of
+ successfully imported items.
+ :param items_to_import: Set of strings corresponding to models to be imported.
+ :param prediction_type_helper: A callback that receives the Path of a Stable Diffusion 2 checkpoint model and returns a SchedulerPredictionType.
+
+ The prediction type helper is necessary to distinguish between
+ models based on Stable Diffusion 2 Base (requiring
+ SchedulerPredictionType.Epsilson) and Stable Diffusion 768
+ (requiring SchedulerPredictionType.VPrediction). It is
+ generally impossible to do this programmatically, so the
+ prediction_type_helper usually asks the user to choose.
+
+ The result is a set of successfully installed models. Each element
+ of the set is a dict corresponding to the newly-created OmegaConf stanza for
+ that model.
+ """
+ pass
+
+ @abstractmethod
+ def merge_models(
+ self,
+ model_names: List[str] = Field(
+ default=None, min_length=2, max_length=3, description="List of model names to merge"
+ ),
+ base_model: Union[BaseModelType, str] = Field(
+ default=None, description="Base model shared by all models to be merged"
+ ),
+ merged_model_name: str = Field(default=None, description="Name of destination model after merging"),
+ alpha: Optional[float] = 0.5,
+ interp: Optional[MergeInterpolationMethod] = None,
+ force: Optional[bool] = False,
+ merge_dest_directory: Optional[Path] = None,
+ ) -> AddModelResult:
+ """
+ Merge two to three diffusrs pipeline models and save as a new model.
+ :param model_names: List of 2-3 models to merge
+ :param base_model: Base model to use for all models
+ :param merged_model_name: Name of destination merged model
+ :param alpha: Alpha strength to apply to 2d and 3d model
+ :param interp: Interpolation method. None (default)
+ :param merge_dest_directory: Save the merged model to the designated directory (with 'merged_model_name' appended)
+ """
+ pass
+
+ @abstractmethod
+ def search_for_models(self, directory: Path) -> List[Path]:
+ """
+ Return list of all models found in the designated directory.
+ """
+ pass
+
+ @abstractmethod
+ def sync_to_config(self):
+ """
+ Re-read models.yaml, rescan the models directory, and reimport models
+ in the autoimport directories. Call after making changes outside the
+ model manager API.
+ """
+ pass
+
+ @abstractmethod
+ def collect_cache_stats(self, cache_stats: CacheStats):
+ """
+ Reset model cache statistics for graph with graph_id.
+ """
+ pass
+
+ @abstractmethod
+ def commit(self, conf_file: Optional[Path] = None) -> None:
+ """
+ Write current configuration out to the indicated file.
+ If no conf_file is provided, then replaces the
+ original file/database used to initialize the object.
+ """
+ pass
diff --git a/invokeai/app/services/model_manager_service.py b/invokeai/app/services/model_manager/model_manager_default.py
similarity index 61%
rename from invokeai/app/services/model_manager_service.py
rename to invokeai/app/services/model_manager/model_manager_default.py
index 143fa8f357..cdb3e59a91 100644
--- a/invokeai/app/services/model_manager_service.py
+++ b/invokeai/app/services/model_manager/model_manager_default.py
@@ -2,16 +2,15 @@
from __future__ import annotations
-from abc import ABC, abstractmethod
from logging import Logger
from pathlib import Path
-from types import ModuleType
from typing import TYPE_CHECKING, Callable, List, Literal, Optional, Tuple, Union
import torch
from pydantic import Field
-from invokeai.app.models.exceptions import CanceledException
+from invokeai.app.services.config.config_default import InvokeAIAppConfig
+from invokeai.app.services.invocation_processor.invocation_processor_common import CanceledException
from invokeai.backend.model_management import (
AddModelResult,
BaseModelType,
@@ -26,273 +25,12 @@ from invokeai.backend.model_management import (
)
from invokeai.backend.model_management.model_cache import CacheStats
from invokeai.backend.model_management.model_search import FindModels
+from invokeai.backend.util import choose_precision, choose_torch_device
-from ...backend.util import choose_precision, choose_torch_device
-from .config import InvokeAIAppConfig
+from .model_manager_base import ModelManagerServiceBase
if TYPE_CHECKING:
- from ..invocations.baseinvocation import BaseInvocation, InvocationContext
-
-
-class ModelManagerServiceBase(ABC):
- """Responsible for managing models on disk and in memory"""
-
- @abstractmethod
- def __init__(
- self,
- config: InvokeAIAppConfig,
- logger: ModuleType,
- ):
- """
- Initialize with the path to the models.yaml config file.
- Optional parameters are the torch device type, precision, max_models,
- and sequential_offload boolean. Note that the default device
- type and precision are set up for a CUDA system running at half precision.
- """
- pass
-
- @abstractmethod
- def get_model(
- self,
- model_name: str,
- base_model: BaseModelType,
- model_type: ModelType,
- submodel: Optional[SubModelType] = None,
- node: Optional[BaseInvocation] = None,
- context: Optional[InvocationContext] = None,
- ) -> ModelInfo:
- """Retrieve the indicated model with name and type.
- submodel can be used to get a part (such as the vae)
- of a diffusers pipeline."""
- pass
-
- @property
- @abstractmethod
- def logger(self):
- pass
-
- @abstractmethod
- def model_exists(
- self,
- model_name: str,
- base_model: BaseModelType,
- model_type: ModelType,
- ) -> bool:
- pass
-
- @abstractmethod
- def model_info(self, model_name: str, base_model: BaseModelType, model_type: ModelType) -> dict:
- """
- Given a model name returns a dict-like (OmegaConf) object describing it.
- Uses the exact format as the omegaconf stanza.
- """
- pass
-
- @abstractmethod
- def list_models(self, base_model: Optional[BaseModelType] = None, model_type: Optional[ModelType] = None) -> dict:
- """
- Return a dict of models in the format:
- { model_type1:
- { model_name1: {'status': 'active'|'cached'|'not loaded',
- 'model_name' : name,
- 'model_type' : SDModelType,
- 'description': description,
- 'format': 'folder'|'safetensors'|'ckpt'
- },
- model_name2: { etc }
- },
- model_type2:
- { model_name_n: etc
- }
- """
- pass
-
- @abstractmethod
- def list_model(self, model_name: str, base_model: BaseModelType, model_type: ModelType) -> dict:
- """
- Return information about the model using the same format as list_models()
- """
- pass
-
- @abstractmethod
- def model_names(self) -> List[Tuple[str, BaseModelType, ModelType]]:
- """
- Returns a list of all the model names known.
- """
- pass
-
- @abstractmethod
- def add_model(
- self,
- model_name: str,
- base_model: BaseModelType,
- model_type: ModelType,
- model_attributes: dict,
- clobber: bool = False,
- ) -> AddModelResult:
- """
- Update the named model with a dictionary of attributes. Will fail with an
- assertion error if the name already exists. Pass clobber=True to overwrite.
- On a successful update, the config will be changed in memory. Will fail
- with an assertion error if provided attributes are incorrect or
- the model name is missing. Call commit() to write changes to disk.
- """
- pass
-
- @abstractmethod
- def update_model(
- self,
- model_name: str,
- base_model: BaseModelType,
- model_type: ModelType,
- model_attributes: dict,
- ) -> AddModelResult:
- """
- Update the named model with a dictionary of attributes. Will fail with a
- ModelNotFoundException if the name does not already exist.
-
- On a successful update, the config will be changed in memory. Will fail
- with an assertion error if provided attributes are incorrect or
- the model name is missing. Call commit() to write changes to disk.
- """
- pass
-
- @abstractmethod
- def del_model(
- self,
- model_name: str,
- base_model: BaseModelType,
- model_type: ModelType,
- ):
- """
- Delete the named model from configuration. If delete_files is true,
- then the underlying weight file or diffusers directory will be deleted
- as well. Call commit() to write to disk.
- """
- pass
-
- @abstractmethod
- def rename_model(
- self,
- model_name: str,
- base_model: BaseModelType,
- model_type: ModelType,
- new_name: str,
- ):
- """
- Rename the indicated model.
- """
- pass
-
- @abstractmethod
- def list_checkpoint_configs(self) -> List[Path]:
- """
- List the checkpoint config paths from ROOT/configs/stable-diffusion.
- """
- pass
-
- @abstractmethod
- def convert_model(
- self,
- model_name: str,
- base_model: BaseModelType,
- model_type: Literal[ModelType.Main, ModelType.Vae],
- ) -> AddModelResult:
- """
- Convert a checkpoint file into a diffusers folder, deleting the cached
- version and deleting the original checkpoint file if it is in the models
- directory.
- :param model_name: Name of the model to convert
- :param base_model: Base model type
- :param model_type: Type of model ['vae' or 'main']
-
- This will raise a ValueError unless the model is not a checkpoint. It will
- also raise a ValueError in the event that there is a similarly-named diffusers
- directory already in place.
- """
- pass
-
- @abstractmethod
- def heuristic_import(
- self,
- items_to_import: set[str],
- prediction_type_helper: Optional[Callable[[Path], SchedulerPredictionType]] = None,
- ) -> dict[str, AddModelResult]:
- """Import a list of paths, repo_ids or URLs. Returns the set of
- successfully imported items.
- :param items_to_import: Set of strings corresponding to models to be imported.
- :param prediction_type_helper: A callback that receives the Path of a Stable Diffusion 2 checkpoint model and returns a SchedulerPredictionType.
-
- The prediction type helper is necessary to distinguish between
- models based on Stable Diffusion 2 Base (requiring
- SchedulerPredictionType.Epsilson) and Stable Diffusion 768
- (requiring SchedulerPredictionType.VPrediction). It is
- generally impossible to do this programmatically, so the
- prediction_type_helper usually asks the user to choose.
-
- The result is a set of successfully installed models. Each element
- of the set is a dict corresponding to the newly-created OmegaConf stanza for
- that model.
- """
- pass
-
- @abstractmethod
- def merge_models(
- self,
- model_names: List[str] = Field(
- default=None, min_items=2, max_items=3, description="List of model names to merge"
- ),
- base_model: Union[BaseModelType, str] = Field(
- default=None, description="Base model shared by all models to be merged"
- ),
- merged_model_name: str = Field(default=None, description="Name of destination model after merging"),
- alpha: Optional[float] = 0.5,
- interp: Optional[MergeInterpolationMethod] = None,
- force: Optional[bool] = False,
- merge_dest_directory: Optional[Path] = None,
- ) -> AddModelResult:
- """
- Merge two to three diffusrs pipeline models and save as a new model.
- :param model_names: List of 2-3 models to merge
- :param base_model: Base model to use for all models
- :param merged_model_name: Name of destination merged model
- :param alpha: Alpha strength to apply to 2d and 3d model
- :param interp: Interpolation method. None (default)
- :param merge_dest_directory: Save the merged model to the designated directory (with 'merged_model_name' appended)
- """
- pass
-
- @abstractmethod
- def search_for_models(self, directory: Path) -> List[Path]:
- """
- Return list of all models found in the designated directory.
- """
- pass
-
- @abstractmethod
- def sync_to_config(self):
- """
- Re-read models.yaml, rescan the models directory, and reimport models
- in the autoimport directories. Call after making changes outside the
- model manager API.
- """
- pass
-
- @abstractmethod
- def collect_cache_stats(self, cache_stats: CacheStats):
- """
- Reset model cache statistics for graph with graph_id.
- """
- pass
-
- @abstractmethod
- def commit(self, conf_file: Optional[Path] = None) -> None:
- """
- Write current configuration out to the indicated file.
- If no conf_file is provided, then replaces the
- original file/database used to initialize the object.
- """
- pass
+ from invokeai.app.invocations.baseinvocation import InvocationContext
# simple implementation
@@ -589,7 +327,7 @@ class ModelManagerService(ModelManagerServiceBase):
def merge_models(
self,
model_names: List[str] = Field(
- default=None, min_items=2, max_items=3, description="List of model names to merge"
+ default=None, min_length=2, max_length=3, description="List of model names to merge"
),
base_model: Union[BaseModelType, str] = Field(
default=None, description="Base model shared by all models to be merged"
diff --git a/invokeai/app/services/names/__init__.py b/invokeai/app/services/names/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/names/names_base.py b/invokeai/app/services/names/names_base.py
new file mode 100644
index 0000000000..f892c43c55
--- /dev/null
+++ b/invokeai/app/services/names/names_base.py
@@ -0,0 +1,11 @@
+from abc import ABC, abstractmethod
+
+
+class NameServiceBase(ABC):
+ """Low-level service responsible for naming resources (images, latents, etc)."""
+
+ # TODO: Add customizable naming schemes
+ @abstractmethod
+ def create_image_name(self) -> str:
+ """Creates a name for an image."""
+ pass
diff --git a/invokeai/app/services/names/names_common.py b/invokeai/app/services/names/names_common.py
new file mode 100644
index 0000000000..7c69f8abe8
--- /dev/null
+++ b/invokeai/app/services/names/names_common.py
@@ -0,0 +1,8 @@
+from enum import Enum, EnumMeta
+
+
+class ResourceType(str, Enum, metaclass=EnumMeta):
+ """Enum for resource types."""
+
+ IMAGE = "image"
+ LATENT = "latent"
diff --git a/invokeai/app/services/names/names_default.py b/invokeai/app/services/names/names_default.py
new file mode 100644
index 0000000000..104268c8bd
--- /dev/null
+++ b/invokeai/app/services/names/names_default.py
@@ -0,0 +1,13 @@
+from invokeai.app.util.misc import uuid_string
+
+from .names_base import NameServiceBase
+
+
+class SimpleNameService(NameServiceBase):
+ """Creates image names from UUIDs."""
+
+ # TODO: Add customizable naming schemes
+ def create_image_name(self) -> str:
+ uuid_str = uuid_string()
+ filename = f"{uuid_str}.png"
+ return filename
diff --git a/invokeai/app/services/resource_name.py b/invokeai/app/services/resource_name.py
deleted file mode 100644
index a17b1a084e..0000000000
--- a/invokeai/app/services/resource_name.py
+++ /dev/null
@@ -1,31 +0,0 @@
-from abc import ABC, abstractmethod
-from enum import Enum, EnumMeta
-
-from invokeai.app.util.misc import uuid_string
-
-
-class ResourceType(str, Enum, metaclass=EnumMeta):
- """Enum for resource types."""
-
- IMAGE = "image"
- LATENT = "latent"
-
-
-class NameServiceBase(ABC):
- """Low-level service responsible for naming resources (images, latents, etc)."""
-
- # TODO: Add customizable naming schemes
- @abstractmethod
- def create_image_name(self) -> str:
- """Creates a name for an image."""
- pass
-
-
-class SimpleNameService(NameServiceBase):
- """Creates image names from UUIDs."""
-
- # TODO: Add customizable naming schemes
- def create_image_name(self) -> str:
- uuid_str = uuid_string()
- filename = f"{uuid_str}.png"
- return filename
diff --git a/invokeai/app/services/session_processor/session_processor_default.py b/invokeai/app/services/session_processor/session_processor_default.py
index 065b80e1a9..5b59dee254 100644
--- a/invokeai/app/services/session_processor/session_processor_default.py
+++ b/invokeai/app/services/session_processor/session_processor_default.py
@@ -7,7 +7,7 @@ from typing import Optional
from fastapi_events.handlers.local import local_handler
from fastapi_events.typing import Event as FastAPIEvent
-from invokeai.app.services.events import EventServiceBase
+from invokeai.app.services.events.events_base import EventServiceBase
from invokeai.app.services.session_queue.session_queue_common import SessionQueueItem
from ..invoker import Invoker
@@ -97,7 +97,6 @@ class DefaultSessionProcessor(SessionProcessorBase):
resume_event.set()
self.__threadLimit.acquire()
queue_item: Optional[SessionQueueItem] = None
- self.__invoker.services.logger
while not stop_event.is_set():
poll_now_event.clear()
try:
diff --git a/invokeai/app/services/session_queue/session_queue_base.py b/invokeai/app/services/session_queue/session_queue_base.py
index cbc16f8283..b5272f1868 100644
--- a/invokeai/app/services/session_queue/session_queue_base.py
+++ b/invokeai/app/services/session_queue/session_queue_base.py
@@ -1,7 +1,6 @@
from abc import ABC, abstractmethod
from typing import Optional
-from invokeai.app.services.graph import Graph
from invokeai.app.services.session_queue.session_queue_common import (
QUEUE_ITEM_STATUS,
Batch,
@@ -18,7 +17,8 @@ from invokeai.app.services.session_queue.session_queue_common import (
SessionQueueItemDTO,
SessionQueueStatus,
)
-from invokeai.app.services.shared.models import CursorPaginatedResults
+from invokeai.app.services.shared.graph import Graph
+from invokeai.app.services.shared.pagination import CursorPaginatedResults
class SessionQueueBase(ABC):
diff --git a/invokeai/app/services/session_queue/session_queue_common.py b/invokeai/app/services/session_queue/session_queue_common.py
index a1eada6523..48e1da83b5 100644
--- a/invokeai/app/services/session_queue/session_queue_common.py
+++ b/invokeai/app/services/session_queue/session_queue_common.py
@@ -3,11 +3,11 @@ import json
from itertools import chain, product
from typing import Generator, Iterable, Literal, NamedTuple, Optional, TypeAlias, Union, cast
-from pydantic import BaseModel, Field, StrictStr, parse_raw_as, root_validator, validator
-from pydantic.json import pydantic_encoder
+from pydantic import BaseModel, ConfigDict, Field, StrictStr, TypeAdapter, field_validator, model_validator
+from pydantic_core import to_jsonable_python
from invokeai.app.invocations.baseinvocation import BaseInvocation
-from invokeai.app.services.graph import Graph, GraphExecutionState, NodeNotFoundError
+from invokeai.app.services.shared.graph import Graph, GraphExecutionState, NodeNotFoundError
from invokeai.app.util.misc import uuid_string
# region Errors
@@ -17,7 +17,7 @@ class BatchZippedLengthError(ValueError):
"""Raise when a batch has items of different lengths."""
-class BatchItemsTypeError(TypeError):
+class BatchItemsTypeError(ValueError): # this cannot be a TypeError in pydantic v2
"""Raise when a batch has items of different types."""
@@ -70,7 +70,7 @@ class Batch(BaseModel):
default=1, ge=1, description="Int stating how many times to iterate through all possible batch indices"
)
- @validator("data")
+ @field_validator("data")
def validate_lengths(cls, v: Optional[BatchDataCollection]):
if v is None:
return v
@@ -81,7 +81,7 @@ class Batch(BaseModel):
raise BatchZippedLengthError("Zipped batch items must all have the same length")
return v
- @validator("data")
+ @field_validator("data")
def validate_types(cls, v: Optional[BatchDataCollection]):
if v is None:
return v
@@ -94,7 +94,7 @@ class Batch(BaseModel):
raise BatchItemsTypeError("All items in a batch must have the same type")
return v
- @validator("data")
+ @field_validator("data")
def validate_unique_field_mappings(cls, v: Optional[BatchDataCollection]):
if v is None:
return v
@@ -107,34 +107,35 @@ class Batch(BaseModel):
paths.add(pair)
return v
- @root_validator(skip_on_failure=True)
+ @model_validator(mode="after")
def validate_batch_nodes_and_edges(cls, values):
- batch_data_collection = cast(Optional[BatchDataCollection], values["data"])
+ batch_data_collection = cast(Optional[BatchDataCollection], values.data)
if batch_data_collection is None:
return values
- graph = cast(Graph, values["graph"])
+ graph = cast(Graph, values.graph)
for batch_data_list in batch_data_collection:
for batch_data in batch_data_list:
try:
node = cast(BaseInvocation, graph.get_node(batch_data.node_path))
except NodeNotFoundError:
raise NodeNotFoundError(f"Node {batch_data.node_path} not found in graph")
- if batch_data.field_name not in node.__fields__:
+ if batch_data.field_name not in node.model_fields:
raise NodeNotFoundError(f"Field {batch_data.field_name} not found in node {batch_data.node_path}")
return values
- @validator("graph")
+ @field_validator("graph")
def validate_graph(cls, v: Graph):
v.validate_self()
return v
- class Config:
- schema_extra = {
- "required": [
+ model_config = ConfigDict(
+ json_schema_extra=dict(
+ required=[
"graph",
"runs",
]
- }
+ )
+ )
# endregion Batch
@@ -146,15 +147,21 @@ DEFAULT_QUEUE_ID = "default"
QUEUE_ITEM_STATUS = Literal["pending", "in_progress", "completed", "failed", "canceled"]
+adapter_NodeFieldValue = TypeAdapter(list[NodeFieldValue])
+
def get_field_values(queue_item_dict: dict) -> Optional[list[NodeFieldValue]]:
field_values_raw = queue_item_dict.get("field_values", None)
- return parse_raw_as(list[NodeFieldValue], field_values_raw) if field_values_raw is not None else None
+ return adapter_NodeFieldValue.validate_json(field_values_raw) if field_values_raw is not None else None
+
+
+adapter_GraphExecutionState = TypeAdapter(GraphExecutionState)
def get_session(queue_item_dict: dict) -> GraphExecutionState:
session_raw = queue_item_dict.get("session", "{}")
- return parse_raw_as(GraphExecutionState, session_raw)
+ session = adapter_GraphExecutionState.validate_json(session_raw, strict=False)
+ return session
class SessionQueueItemWithoutGraph(BaseModel):
@@ -178,14 +185,14 @@ class SessionQueueItemWithoutGraph(BaseModel):
)
@classmethod
- def from_dict(cls, queue_item_dict: dict) -> "SessionQueueItemDTO":
+ def queue_item_dto_from_dict(cls, queue_item_dict: dict) -> "SessionQueueItemDTO":
# must parse these manually
queue_item_dict["field_values"] = get_field_values(queue_item_dict)
return SessionQueueItemDTO(**queue_item_dict)
- class Config:
- schema_extra = {
- "required": [
+ model_config = ConfigDict(
+ json_schema_extra=dict(
+ required=[
"item_id",
"status",
"batch_id",
@@ -196,7 +203,8 @@ class SessionQueueItemWithoutGraph(BaseModel):
"created_at",
"updated_at",
]
- }
+ )
+ )
class SessionQueueItemDTO(SessionQueueItemWithoutGraph):
@@ -207,15 +215,15 @@ class SessionQueueItem(SessionQueueItemWithoutGraph):
session: GraphExecutionState = Field(description="The fully-populated session to be executed")
@classmethod
- def from_dict(cls, queue_item_dict: dict) -> "SessionQueueItem":
+ def queue_item_from_dict(cls, queue_item_dict: dict) -> "SessionQueueItem":
# must parse these manually
queue_item_dict["field_values"] = get_field_values(queue_item_dict)
queue_item_dict["session"] = get_session(queue_item_dict)
return SessionQueueItem(**queue_item_dict)
- class Config:
- schema_extra = {
- "required": [
+ model_config = ConfigDict(
+ json_schema_extra=dict(
+ required=[
"item_id",
"status",
"batch_id",
@@ -227,7 +235,8 @@ class SessionQueueItem(SessionQueueItemWithoutGraph):
"created_at",
"updated_at",
]
- }
+ )
+ )
# endregion Queue Items
@@ -321,7 +330,7 @@ def populate_graph(graph: Graph, node_field_values: Iterable[NodeFieldValue]) ->
"""
Populates the given graph with the given batch data items.
"""
- graph_clone = graph.copy(deep=True)
+ graph_clone = graph.model_copy(deep=True)
for item in node_field_values:
node = graph_clone.get_node(item.node_path)
if node is None:
@@ -354,7 +363,7 @@ def create_session_nfv_tuples(
for item in batch_datum.items
]
node_field_values_to_zip.append(node_field_values)
- data.append(list(zip(*node_field_values_to_zip)))
+ data.append(list(zip(*node_field_values_to_zip))) # type: ignore [arg-type]
# create generator to yield session,nfv tuples
count = 0
@@ -409,11 +418,11 @@ def prepare_values_to_insert(queue_id: str, batch: Batch, priority: int, max_new
values_to_insert.append(
SessionQueueValueToInsert(
queue_id, # queue_id
- session.json(), # session (json)
+ session.model_dump_json(warnings=False, exclude_none=True), # session (json)
session.id, # session_id
batch.batch_id, # batch_id
# must use pydantic_encoder bc field_values is a list of models
- json.dumps(field_values, default=pydantic_encoder) if field_values else None, # field_values (json)
+ json.dumps(field_values, default=to_jsonable_python) if field_values else None, # field_values (json)
priority, # priority
)
)
@@ -421,3 +430,6 @@ def prepare_values_to_insert(queue_id: str, batch: Batch, priority: int, max_new
# endregion Util
+
+Batch.model_rebuild(force=True)
+SessionQueueItem.model_rebuild(force=True)
diff --git a/invokeai/app/services/session_queue/session_queue_sqlite.py b/invokeai/app/services/session_queue/session_queue_sqlite.py
index f995576311..4daab9cdbc 100644
--- a/invokeai/app/services/session_queue/session_queue_sqlite.py
+++ b/invokeai/app/services/session_queue/session_queue_sqlite.py
@@ -5,8 +5,7 @@ from typing import Optional, Union, cast
from fastapi_events.handlers.local import local_handler
from fastapi_events.typing import Event as FastAPIEvent
-from invokeai.app.services.events import EventServiceBase
-from invokeai.app.services.graph import Graph
+from invokeai.app.services.events.events_base import EventServiceBase
from invokeai.app.services.invoker import Invoker
from invokeai.app.services.session_queue.session_queue_base import SessionQueueBase
from invokeai.app.services.session_queue.session_queue_common import (
@@ -29,14 +28,16 @@ from invokeai.app.services.session_queue.session_queue_common import (
calc_session_count,
prepare_values_to_insert,
)
-from invokeai.app.services.shared.models import CursorPaginatedResults
+from invokeai.app.services.shared.graph import Graph
+from invokeai.app.services.shared.pagination import CursorPaginatedResults
+from invokeai.app.services.shared.sqlite import SqliteDatabase
class SqliteSessionQueue(SessionQueueBase):
__invoker: Invoker
__conn: sqlite3.Connection
__cursor: sqlite3.Cursor
- __lock: threading.Lock
+ __lock: threading.RLock
def start(self, invoker: Invoker) -> None:
self.__invoker = invoker
@@ -45,13 +46,11 @@ class SqliteSessionQueue(SessionQueueBase):
local_handler.register(event_name=EventServiceBase.queue_event, _func=self._on_session_event)
self.__invoker.services.logger.info(f"Pruned {prune_result.deleted} finished queue items")
- def __init__(self, conn: sqlite3.Connection, lock: threading.Lock) -> None:
+ def __init__(self, db: SqliteDatabase) -> None:
super().__init__()
- self.__conn = conn
- # Enable row factory to get rows as dictionaries (must be done before making the cursor!)
- self.__conn.row_factory = sqlite3.Row
+ self.__lock = db.lock
+ self.__conn = db.conn
self.__cursor = self.__conn.cursor()
- self.__lock = lock
self._create_tables()
def _match_event_name(self, event: FastAPIEvent, match_in: list[str]) -> bool:
@@ -278,8 +277,8 @@ class SqliteSessionQueue(SessionQueueBase):
if result is None:
raise SessionQueueItemNotFoundError(f"No queue item with batch id {enqueue_result.batch.batch_id}")
return EnqueueGraphResult(
- **enqueue_result.dict(),
- queue_item=SessionQueueItemDTO.from_dict(dict(result)),
+ **enqueue_result.model_dump(),
+ queue_item=SessionQueueItemDTO.queue_item_dto_from_dict(dict(result)),
)
def enqueue_batch(self, queue_id: str, batch: Batch, prepend: bool) -> EnqueueBatchResult:
@@ -352,7 +351,7 @@ class SqliteSessionQueue(SessionQueueBase):
self.__lock.release()
if result is None:
return None
- queue_item = SessionQueueItem.from_dict(dict(result))
+ queue_item = SessionQueueItem.queue_item_from_dict(dict(result))
queue_item = self._set_queue_item_status(item_id=queue_item.item_id, status="in_progress")
return queue_item
@@ -381,7 +380,7 @@ class SqliteSessionQueue(SessionQueueBase):
self.__lock.release()
if result is None:
return None
- return SessionQueueItem.from_dict(dict(result))
+ return SessionQueueItem.queue_item_from_dict(dict(result))
def get_current(self, queue_id: str) -> Optional[SessionQueueItem]:
try:
@@ -405,7 +404,7 @@ class SqliteSessionQueue(SessionQueueBase):
self.__lock.release()
if result is None:
return None
- return SessionQueueItem.from_dict(dict(result))
+ return SessionQueueItem.queue_item_from_dict(dict(result))
def _set_queue_item_status(
self, item_id: int, status: QUEUE_ITEM_STATUS, error: Optional[str] = None
@@ -565,7 +564,7 @@ class SqliteSessionQueue(SessionQueueBase):
queue_item = self.get_queue_item(item_id)
if queue_item.status not in ["canceled", "failed", "completed"]:
status = "failed" if error is not None else "canceled"
- queue_item = self._set_queue_item_status(item_id=item_id, status=status, error=error)
+ queue_item = self._set_queue_item_status(item_id=item_id, status=status, error=error) # type: ignore [arg-type] # mypy seems to not narrow the Literals here
self.__invoker.services.queue.cancel(queue_item.session_id)
self.__invoker.services.events.emit_session_canceled(
queue_item_id=queue_item.item_id,
@@ -700,7 +699,7 @@ class SqliteSessionQueue(SessionQueueBase):
self.__lock.release()
if result is None:
raise SessionQueueItemNotFoundError(f"No queue item with id {item_id}")
- return SessionQueueItem.from_dict(dict(result))
+ return SessionQueueItem.queue_item_from_dict(dict(result))
def list_queue_items(
self,
@@ -752,7 +751,7 @@ class SqliteSessionQueue(SessionQueueBase):
params.append(limit + 1)
self.__cursor.execute(query, params)
results = cast(list[sqlite3.Row], self.__cursor.fetchall())
- items = [SessionQueueItemDTO.from_dict(dict(result)) for result in results]
+ items = [SessionQueueItemDTO.queue_item_dto_from_dict(dict(result)) for result in results]
has_more = False
if len(items) > limit:
# remove the extra item
diff --git a/invokeai/app/services/shared/__init__.py b/invokeai/app/services/shared/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/default_graphs.py b/invokeai/app/services/shared/default_graphs.py
similarity index 85%
rename from invokeai/app/services/default_graphs.py
rename to invokeai/app/services/shared/default_graphs.py
index ad8d220599..9a6e2456cb 100644
--- a/invokeai/app/services/default_graphs.py
+++ b/invokeai/app/services/shared/default_graphs.py
@@ -1,10 +1,11 @@
-from ..invocations.compel import CompelInvocation
-from ..invocations.image import ImageNSFWBlurInvocation
-from ..invocations.latent import DenoiseLatentsInvocation, LatentsToImageInvocation
-from ..invocations.noise import NoiseInvocation
-from ..invocations.primitives import IntegerInvocation
+from invokeai.app.services.item_storage.item_storage_base import ItemStorageABC
+
+from ...invocations.compel import CompelInvocation
+from ...invocations.image import ImageNSFWBlurInvocation
+from ...invocations.latent import DenoiseLatentsInvocation, LatentsToImageInvocation
+from ...invocations.noise import NoiseInvocation
+from ...invocations.primitives import IntegerInvocation
from .graph import Edge, EdgeConnection, ExposedNodeInput, ExposedNodeOutput, Graph, LibraryGraph
-from .item_storage import ItemStorageABC
default_text_to_image_graph_id = "539b2af5-2b4d-4d8c-8071-e54a3255fc74"
@@ -79,10 +80,10 @@ def create_system_graphs(graph_library: ItemStorageABC[LibraryGraph]) -> list[Li
# TODO: Uncomment this when we are ready to fix this up to prevent breaking changes
graphs: list[LibraryGraph] = list()
- # text_to_image = graph_library.get(default_text_to_image_graph_id)
+ text_to_image = graph_library.get(default_text_to_image_graph_id)
- # # TODO: Check if the graph is the same as the default one, and if not, update it
- # #if text_to_image is None:
+ # TODO: Check if the graph is the same as the default one, and if not, update it
+ # if text_to_image is None:
text_to_image = create_text_to_image()
graph_library.set(text_to_image)
diff --git a/invokeai/app/services/graph.py b/invokeai/app/services/shared/graph.py
similarity index 96%
rename from invokeai/app/services/graph.py
rename to invokeai/app/services/shared/graph.py
index ab479300fc..8f974f7c6b 100644
--- a/invokeai/app/services/graph.py
+++ b/invokeai/app/services/shared/graph.py
@@ -5,14 +5,12 @@ import itertools
from typing import Annotated, Any, Optional, Union, get_args, get_origin, get_type_hints
import networkx as nx
-from pydantic import BaseModel, root_validator, validator
+from pydantic import BaseModel, ConfigDict, field_validator, model_validator
from pydantic.fields import Field
-from invokeai.app.util.misc import uuid_string
-
# Importing * is bad karma but needed here for node detection
-from ..invocations import * # noqa: F401 F403
-from ..invocations.baseinvocation import (
+from invokeai.app.invocations import * # noqa: F401 F403
+from invokeai.app.invocations.baseinvocation import (
BaseInvocation,
BaseInvocationOutput,
Input,
@@ -23,6 +21,7 @@ from ..invocations.baseinvocation import (
invocation,
invocation_output,
)
+from invokeai.app.util.misc import uuid_string
# in 3.10 this would be "from types import NoneType"
NoneType = type(None)
@@ -236,7 +235,8 @@ class CollectInvocationOutput(BaseInvocationOutput):
class CollectInvocation(BaseInvocation):
"""Collects values into a collection"""
- item: Any = InputField(
+ item: Optional[Any] = InputField(
+ default=None,
description="The item to collect (all inputs must be of the same type)",
ui_type=UIType.CollectionItem,
title="Collection Item",
@@ -251,8 +251,8 @@ class CollectInvocation(BaseInvocation):
return CollectInvocationOutput(collection=copy.copy(self.collection))
-InvocationsUnion = Union[BaseInvocation.get_invocations()] # type: ignore
-InvocationOutputsUnion = Union[BaseInvocationOutput.get_all_subclasses_tuple()] # type: ignore
+InvocationsUnion: Any = BaseInvocation.get_invocations_union()
+InvocationOutputsUnion: Any = BaseInvocationOutput.get_outputs_union()
class Graph(BaseModel):
@@ -379,13 +379,13 @@ class Graph(BaseModel):
raise NodeNotFoundError(f"Edge destination node {edge.destination.node_id} does not exist in the graph")
# output fields are not on the node object directly, they are on the output type
- if edge.source.field not in source_node.get_output_type().__fields__:
+ if edge.source.field not in source_node.get_output_type().model_fields:
raise NodeFieldNotFoundError(
f"Edge source field {edge.source.field} does not exist in node {edge.source.node_id}"
)
# input fields are on the node
- if edge.destination.field not in destination_node.__fields__:
+ if edge.destination.field not in destination_node.model_fields:
raise NodeFieldNotFoundError(
f"Edge destination field {edge.destination.field} does not exist in node {edge.destination.node_id}"
)
@@ -396,24 +396,24 @@ class Graph(BaseModel):
raise CyclicalGraphError("Graph contains cycles")
# Validate all edge connections are valid
- for e in self.edges:
+ for edge in self.edges:
if not are_connections_compatible(
- self.get_node(e.source.node_id),
- e.source.field,
- self.get_node(e.destination.node_id),
- e.destination.field,
+ self.get_node(edge.source.node_id),
+ edge.source.field,
+ self.get_node(edge.destination.node_id),
+ edge.destination.field,
):
raise InvalidEdgeError(
- f"Invalid edge from {e.source.node_id}.{e.source.field} to {e.destination.node_id}.{e.destination.field}"
+ f"Invalid edge from {edge.source.node_id}.{edge.source.field} to {edge.destination.node_id}.{edge.destination.field}"
)
# Validate all iterators & collectors
# TODO: may need to validate all iterators & collectors in subgraphs so edge connections in parent graphs will be available
- for n in self.nodes.values():
- if isinstance(n, IterateInvocation) and not self._is_iterator_connection_valid(n.id):
- raise InvalidEdgeError(f"Invalid iterator node {n.id}")
- if isinstance(n, CollectInvocation) and not self._is_collector_connection_valid(n.id):
- raise InvalidEdgeError(f"Invalid collector node {n.id}")
+ for node in self.nodes.values():
+ if isinstance(node, IterateInvocation) and not self._is_iterator_connection_valid(node.id):
+ raise InvalidEdgeError(f"Invalid iterator node {node.id}")
+ if isinstance(node, CollectInvocation) and not self._is_collector_connection_valid(node.id):
+ raise InvalidEdgeError(f"Invalid collector node {node.id}")
return None
@@ -595,7 +595,7 @@ class Graph(BaseModel):
def _get_input_edges_and_graphs(
self, node_path: str, prefix: Optional[str] = None
- ) -> list[tuple["Graph", str, Edge]]:
+ ) -> list[tuple["Graph", Union[str, None], Edge]]:
"""Gets all input edges for a node along with the graph they are in and the graph's path"""
edges = list()
@@ -637,7 +637,7 @@ class Graph(BaseModel):
def _get_output_edges_and_graphs(
self, node_path: str, prefix: Optional[str] = None
- ) -> list[tuple["Graph", str, Edge]]:
+ ) -> list[tuple["Graph", Union[str, None], Edge]]:
"""Gets all output edges for a node along with the graph they are in and the graph's path"""
edges = list()
@@ -818,15 +818,15 @@ class GraphExecutionState(BaseModel):
default_factory=dict,
)
- @validator("graph")
+ @field_validator("graph")
def graph_is_valid(cls, v: Graph):
"""Validates that the graph is valid"""
v.validate_self()
return v
- class Config:
- schema_extra = {
- "required": [
+ model_config = ConfigDict(
+ json_schema_extra=dict(
+ required=[
"id",
"graph",
"execution_graph",
@@ -837,7 +837,8 @@ class GraphExecutionState(BaseModel):
"prepared_source_mapping",
"source_prepared_mapping",
]
- }
+ )
+ )
def next(self) -> Optional[BaseInvocation]:
"""Gets the next node ready to execute."""
@@ -911,7 +912,7 @@ class GraphExecutionState(BaseModel):
input_collection = getattr(input_collection_prepared_node_output, input_collection_edge.source.field)
self_iteration_count = len(input_collection)
- new_nodes = list()
+ new_nodes: list[str] = list()
if self_iteration_count == 0:
# TODO: should this raise a warning? It might just happen if an empty collection is input, and should be valid.
return new_nodes
@@ -921,7 +922,7 @@ class GraphExecutionState(BaseModel):
# Create new edges for this iteration
# For collect nodes, this may contain multiple inputs to the same field
- new_edges = list()
+ new_edges: list[Edge] = list()
for edge in input_edges:
for input_node_id in (n[1] for n in iteration_node_map if n[0] == edge.source.node_id):
new_edge = Edge(
@@ -1180,18 +1181,18 @@ class LibraryGraph(BaseModel):
description="The outputs exposed by this graph", default_factory=list
)
- @validator("exposed_inputs", "exposed_outputs")
- def validate_exposed_aliases(cls, v):
+ @field_validator("exposed_inputs", "exposed_outputs")
+ def validate_exposed_aliases(cls, v: list[Union[ExposedNodeInput, ExposedNodeOutput]]):
if len(v) != len(set(i.alias for i in v)):
raise ValueError("Duplicate exposed alias")
return v
- @root_validator
+ @model_validator(mode="after")
def validate_exposed_nodes(cls, values):
- graph = values["graph"]
+ graph = values.graph
# Validate exposed inputs
- for exposed_input in values["exposed_inputs"]:
+ for exposed_input in values.exposed_inputs:
if not graph.has_node(exposed_input.node_path):
raise ValueError(f"Exposed input node {exposed_input.node_path} does not exist")
node = graph.get_node(exposed_input.node_path)
@@ -1201,7 +1202,7 @@ class LibraryGraph(BaseModel):
)
# Validate exposed outputs
- for exposed_output in values["exposed_outputs"]:
+ for exposed_output in values.exposed_outputs:
if not graph.has_node(exposed_output.node_path):
raise ValueError(f"Exposed output node {exposed_output.node_path} does not exist")
node = graph.get_node(exposed_output.node_path)
@@ -1213,4 +1214,6 @@ class LibraryGraph(BaseModel):
return values
-GraphInvocation.update_forward_refs()
+GraphInvocation.model_rebuild(force=True)
+Graph.model_rebuild(force=True)
+GraphExecutionState.model_rebuild(force=True)
diff --git a/invokeai/app/services/shared/models.py b/invokeai/app/services/shared/models.py
deleted file mode 100644
index 7edde152c3..0000000000
--- a/invokeai/app/services/shared/models.py
+++ /dev/null
@@ -1,14 +0,0 @@
-from typing import Generic, TypeVar
-
-from pydantic import BaseModel, Field
-from pydantic.generics import GenericModel
-
-GenericBaseModel = TypeVar("GenericBaseModel", bound=BaseModel)
-
-
-class CursorPaginatedResults(GenericModel, Generic[GenericBaseModel]):
- """Cursor-paginated results"""
-
- limit: int = Field(..., description="Limit of items to get")
- has_more: bool = Field(..., description="Whether there are more items available")
- items: list[GenericBaseModel] = Field(..., description="Items")
diff --git a/invokeai/app/services/shared/pagination.py b/invokeai/app/services/shared/pagination.py
new file mode 100644
index 0000000000..ea342b1101
--- /dev/null
+++ b/invokeai/app/services/shared/pagination.py
@@ -0,0 +1,41 @@
+from typing import Generic, TypeVar
+
+from pydantic import BaseModel, Field
+
+GenericBaseModel = TypeVar("GenericBaseModel", bound=BaseModel)
+
+
+class CursorPaginatedResults(BaseModel, Generic[GenericBaseModel]):
+ """
+ Cursor-paginated results
+ Generic must be a Pydantic model
+ """
+
+ limit: int = Field(..., description="Limit of items to get")
+ has_more: bool = Field(..., description="Whether there are more items available")
+ items: list[GenericBaseModel] = Field(..., description="Items")
+
+
+class OffsetPaginatedResults(BaseModel, Generic[GenericBaseModel]):
+ """
+ Offset-paginated results
+ Generic must be a Pydantic model
+ """
+
+ limit: int = Field(description="Limit of items to get")
+ offset: int = Field(description="Offset from which to retrieve items")
+ total: int = Field(description="Total number of items in result")
+ items: list[GenericBaseModel] = Field(description="Items")
+
+
+class PaginatedResults(BaseModel, Generic[GenericBaseModel]):
+ """
+ Paginated results
+ Generic must be a Pydantic model
+ """
+
+ page: int = Field(description="Current Page")
+ pages: int = Field(description="Total number of pages")
+ per_page: int = Field(description="Number of items per page")
+ total: int = Field(description="Total number of items in result")
+ items: list[GenericBaseModel] = Field(description="Items")
diff --git a/invokeai/app/services/shared/sqlite.py b/invokeai/app/services/shared/sqlite.py
new file mode 100644
index 0000000000..3c75c3d6a7
--- /dev/null
+++ b/invokeai/app/services/shared/sqlite.py
@@ -0,0 +1,48 @@
+import sqlite3
+import threading
+from logging import Logger
+
+from invokeai.app.services.config import InvokeAIAppConfig
+
+sqlite_memory = ":memory:"
+
+
+class SqliteDatabase:
+ conn: sqlite3.Connection
+ lock: threading.RLock
+ _logger: Logger
+ _config: InvokeAIAppConfig
+
+ def __init__(self, config: InvokeAIAppConfig, logger: Logger):
+ self._logger = logger
+ self._config = config
+
+ if self._config.use_memory_db:
+ location = sqlite_memory
+ logger.info("Using in-memory database")
+ else:
+ db_path = self._config.db_path
+ db_path.parent.mkdir(parents=True, exist_ok=True)
+ location = str(db_path)
+ self._logger.info(f"Using database at {location}")
+
+ self.conn = sqlite3.connect(location, check_same_thread=False)
+ self.lock = threading.RLock()
+ self.conn.row_factory = sqlite3.Row
+
+ if self._config.log_sql:
+ self.conn.set_trace_callback(self._logger.debug)
+
+ self.conn.execute("PRAGMA foreign_keys = ON;")
+
+ def clean(self) -> None:
+ try:
+ self.lock.acquire()
+ self.conn.execute("VACUUM;")
+ self.conn.commit()
+ self._logger.info("Cleaned database")
+ except Exception as e:
+ self._logger.error(f"Error cleaning database: {e}")
+ raise e
+ finally:
+ self.lock.release()
diff --git a/invokeai/app/services/thread.py b/invokeai/app/services/thread.py
deleted file mode 100644
index 3fd88295b1..0000000000
--- a/invokeai/app/services/thread.py
+++ /dev/null
@@ -1,3 +0,0 @@
-import threading
-
-lock = threading.Lock()
diff --git a/invokeai/app/services/urls/__init__.py b/invokeai/app/services/urls/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/app/services/urls/urls_base.py b/invokeai/app/services/urls/urls_base.py
new file mode 100644
index 0000000000..c39ba055f3
--- /dev/null
+++ b/invokeai/app/services/urls/urls_base.py
@@ -0,0 +1,10 @@
+from abc import ABC, abstractmethod
+
+
+class UrlServiceBase(ABC):
+ """Responsible for building URLs for resources."""
+
+ @abstractmethod
+ def get_image_url(self, image_name: str, thumbnail: bool = False) -> str:
+ """Gets the URL for an image or thumbnail."""
+ pass
diff --git a/invokeai/app/services/urls.py b/invokeai/app/services/urls/urls_default.py
similarity index 64%
rename from invokeai/app/services/urls.py
rename to invokeai/app/services/urls/urls_default.py
index 7688b3bdd3..801aeac560 100644
--- a/invokeai/app/services/urls.py
+++ b/invokeai/app/services/urls/urls_default.py
@@ -1,14 +1,6 @@
import os
-from abc import ABC, abstractmethod
-
-class UrlServiceBase(ABC):
- """Responsible for building URLs for resources."""
-
- @abstractmethod
- def get_image_url(self, image_name: str, thumbnail: bool = False) -> str:
- """Gets the URL for an image or thumbnail."""
- pass
+from .urls_base import UrlServiceBase
class LocalUrlService(UrlServiceBase):
diff --git a/invokeai/app/util/controlnet_utils.py b/invokeai/app/util/controlnet_utils.py
index e6f34a4c44..51ceec2edd 100644
--- a/invokeai/app/util/controlnet_utils.py
+++ b/invokeai/app/util/controlnet_utils.py
@@ -265,7 +265,7 @@ def np_img_resize(np_img: np.ndarray, resize_mode: str, h: int, w: int, device:
def prepare_control_image(
- image: Image,
+ image: Image.Image,
width: int,
height: int,
num_channels: int = 3,
diff --git a/invokeai/app/util/metadata.py b/invokeai/app/util/metadata.py
index 5ca5f14e12..15951cb009 100644
--- a/invokeai/app/util/metadata.py
+++ b/invokeai/app/util/metadata.py
@@ -3,7 +3,7 @@ from typing import Optional
from pydantic import ValidationError
-from invokeai.app.services.graph import Edge
+from invokeai.app.services.shared.graph import Edge
def get_metadata_graph_from_raw_session(session_raw: str) -> Optional[dict]:
diff --git a/invokeai/app/util/misc.py b/invokeai/app/util/misc.py
index 6d56652ed4..910b05d8dd 100644
--- a/invokeai/app/util/misc.py
+++ b/invokeai/app/util/misc.py
@@ -1,4 +1,5 @@
import datetime
+import typing
import uuid
import numpy as np
@@ -27,3 +28,8 @@ def get_random_seed():
def uuid_string():
res = uuid.uuid4()
return str(res)
+
+
+def is_optional(value: typing.Any):
+ """Checks if a value is typed as Optional. Note that Optional is sugar for Union[x, None]."""
+ return typing.get_origin(value) is typing.Union and type(None) in typing.get_args(value)
diff --git a/invokeai/app/util/model_exclude_null.py b/invokeai/app/util/model_exclude_null.py
index b75f127ec7..6da41039b4 100644
--- a/invokeai/app/util/model_exclude_null.py
+++ b/invokeai/app/util/model_exclude_null.py
@@ -13,11 +13,11 @@ From https://github.com/tiangolo/fastapi/discussions/8882#discussioncomment-5154
class BaseModelExcludeNull(BaseModel):
- def dict(self, *args, **kwargs) -> dict[str, Any]:
+ def model_dump(self, *args, **kwargs) -> dict[str, Any]:
"""
Override the default dict method to exclude None values in the response
"""
kwargs.pop("exclude_none", None)
- return super().dict(*args, exclude_none=True, **kwargs)
+ return super().model_dump(*args, exclude_none=True, **kwargs)
pass
diff --git a/invokeai/app/util/step_callback.py b/invokeai/app/util/step_callback.py
index 6d4a857491..f166206d52 100644
--- a/invokeai/app/util/step_callback.py
+++ b/invokeai/app/util/step_callback.py
@@ -1,8 +1,7 @@
import torch
from PIL import Image
-from invokeai.app.models.exceptions import CanceledException
-from invokeai.app.models.image import ProgressImage
+from invokeai.app.services.invocation_processor.invocation_processor_common import CanceledException, ProgressImage
from ...backend.model_management.models import BaseModelType
from ...backend.stable_diffusion import PipelineIntermediateState
diff --git a/invokeai/assets/__init__.py b/invokeai/assets/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/invokeai/backend/image_util/txt2mask.py b/invokeai/backend/image_util/txt2mask.py
index 12db54b0db..de0c6a1652 100644
--- a/invokeai/backend/image_util/txt2mask.py
+++ b/invokeai/backend/image_util/txt2mask.py
@@ -41,18 +41,18 @@ config = InvokeAIAppConfig.get_config()
class SegmentedGrayscale(object):
- def __init__(self, image: Image, heatmap: torch.Tensor):
+ def __init__(self, image: Image.Image, heatmap: torch.Tensor):
self.heatmap = heatmap
self.image = image
- def to_grayscale(self, invert: bool = False) -> Image:
+ def to_grayscale(self, invert: bool = False) -> Image.Image:
return self._rescale(Image.fromarray(np.uint8(255 - self.heatmap * 255 if invert else self.heatmap * 255)))
- def to_mask(self, threshold: float = 0.5) -> Image:
+ def to_mask(self, threshold: float = 0.5) -> Image.Image:
discrete_heatmap = self.heatmap.lt(threshold).int()
return self._rescale(Image.fromarray(np.uint8(discrete_heatmap * 255), mode="L"))
- def to_transparent(self, invert: bool = False) -> Image:
+ def to_transparent(self, invert: bool = False) -> Image.Image:
transparent_image = self.image.copy()
# For img2img, we want the selected regions to be transparent,
# but to_grayscale() returns the opposite. Thus invert.
@@ -61,7 +61,7 @@ class SegmentedGrayscale(object):
return transparent_image
# unscales and uncrops the 352x352 heatmap so that it matches the image again
- def _rescale(self, heatmap: Image) -> Image:
+ def _rescale(self, heatmap: Image.Image) -> Image.Image:
size = self.image.width if (self.image.width > self.image.height) else self.image.height
resized_image = heatmap.resize((size, size), resample=Image.Resampling.LANCZOS)
return resized_image.crop((0, 0, self.image.width, self.image.height))
@@ -82,7 +82,7 @@ class Txt2Mask(object):
self.model = CLIPSegForImageSegmentation.from_pretrained(CLIPSEG_MODEL, cache_dir=config.cache_dir)
@torch.no_grad()
- def segment(self, image, prompt: str) -> SegmentedGrayscale:
+ def segment(self, image: Image.Image, prompt: str) -> SegmentedGrayscale:
"""
Given a prompt string such as "a bagel", tries to identify the object in the
provided image and returns a SegmentedGrayscale object in which the brighter
@@ -99,7 +99,7 @@ class Txt2Mask(object):
heatmap = torch.sigmoid(outputs.logits)
return SegmentedGrayscale(image, heatmap)
- def _scale_and_crop(self, image: Image) -> Image:
+ def _scale_and_crop(self, image: Image.Image) -> Image.Image:
scaled_image = Image.new("RGB", (CLIPSEG_SIZE, CLIPSEG_SIZE))
if image.width > image.height: # width is constraint
scale = CLIPSEG_SIZE / image.width
diff --git a/invokeai/backend/image_util/util.py b/invokeai/backend/image_util/util.py
index bc7fa01e3b..7eceb9be82 100644
--- a/invokeai/backend/image_util/util.py
+++ b/invokeai/backend/image_util/util.py
@@ -9,7 +9,7 @@ class InitImageResizer:
def __init__(self, Image):
self.image = Image
- def resize(self, width=None, height=None) -> Image:
+ def resize(self, width=None, height=None) -> Image.Image:
"""
Return a copy of the image resized to fit within
a box width x height. The aspect ratio is
diff --git a/invokeai/backend/install/invokeai_configure.py b/invokeai/backend/install/invokeai_configure.py
index 5afbdfb5a3..59cf1260ba 100755
--- a/invokeai/backend/install/invokeai_configure.py
+++ b/invokeai/backend/install/invokeai_configure.py
@@ -662,7 +662,7 @@ def default_ramcache() -> float:
def default_startup_options(init_file: Path) -> Namespace:
opts = InvokeAIAppConfig.get_config()
- opts.ram = default_ramcache()
+ opts.ram = opts.ram or default_ramcache()
return opts
@@ -793,7 +793,11 @@ def migrate_init_file(legacy_format: Path):
old = legacy_parser.parse_args([f"@{str(legacy_format)}"])
new = InvokeAIAppConfig.get_config()
- fields = [x for x, y in InvokeAIAppConfig.__fields__.items() if y.field_info.extra.get("category") != "DEPRECATED"]
+ fields = [
+ x
+ for x, y in InvokeAIAppConfig.model_fields.items()
+ if (y.json_schema_extra.get("category", None) if y.json_schema_extra else None) != "DEPRECATED"
+ ]
for attr in fields:
if hasattr(old, attr):
try:
diff --git a/invokeai/backend/install/model_install_backend.py b/invokeai/backend/install/model_install_backend.py
index 1481300c77..9224f5c8b2 100644
--- a/invokeai/backend/install/model_install_backend.py
+++ b/invokeai/backend/install/model_install_backend.py
@@ -236,9 +236,16 @@ class ModelInstall(object):
if not models_installed:
models_installed = dict()
+ model_path_id_or_url = str(model_path_id_or_url).strip("\"' ")
+
# A little hack to allow nested routines to retrieve info on the requested ID
self.current_id = model_path_id_or_url
path = Path(model_path_id_or_url)
+
+ # fix relative paths
+ if path.exists() and not path.is_absolute():
+ path = path.absolute() # make relative to current WD
+
# checkpoint file, or similar
if path.is_file():
models_installed.update({str(path): self._install_path(path)})
diff --git a/invokeai/backend/model_management/memory_snapshot.py b/invokeai/backend/model_management/memory_snapshot.py
index 4f43affcf7..01f1328114 100644
--- a/invokeai/backend/model_management/memory_snapshot.py
+++ b/invokeai/backend/model_management/memory_snapshot.py
@@ -55,8 +55,10 @@ class MemorySnapshot:
try:
malloc_info = LibcUtil().mallinfo2()
- except OSError:
- # This is expected in environments that do not have the 'libc.so.6' shared library.
+ except (OSError, AttributeError):
+ # OSError: This is expected in environments that do not have the 'libc.so.6' shared library.
+ # AttributeError: This is expected in environments that have `libc.so.6` but do not have the `mallinfo2` (e.g. glibc < 2.33)
+ # TODO: Does `mallinfo` work?
malloc_info = None
return cls(process_ram, vram, malloc_info)
diff --git a/invokeai/backend/model_management/model_cache.py b/invokeai/backend/model_management/model_cache.py
index 9cf3852449..2a6079b2c4 100644
--- a/invokeai/backend/model_management/model_cache.py
+++ b/invokeai/backend/model_management/model_cache.py
@@ -238,11 +238,8 @@ class ModelCache(object):
f"{get_pretty_snapshot_diff(snapshot_before, snapshot_after)}"
)
- # We only log a warning for over-reported (not under-reported) model sizes before load. There is a known
- # issue where models report their fp32 size before load, and are then loaded as fp16. Once this issue is
- # addressed, it would make sense to log a warning for both over-reported and under-reported model sizes.
- if (self_reported_model_size_after_load - self_reported_model_size_before_load) > 10 * MB:
- self.logger.warning(
+ if abs(self_reported_model_size_after_load - self_reported_model_size_before_load) > 10 * MB:
+ self.logger.debug(
f"Model '{key}' mis-reported its size before load. Self-reported size before/after load:"
f" {(self_reported_model_size_before_load/GIG):.2f}GB /"
f" {(self_reported_model_size_after_load/GIG):.2f}GB."
@@ -299,7 +296,7 @@ class ModelCache(object):
rel_tol=0.1,
abs_tol=10 * MB,
):
- self.logger.warning(
+ self.logger.debug(
f"Moving model '{key}' from {source_device} to"
f" {target_device} caused an unexpected change in VRAM usage. The model's"
" estimated size may be incorrect. Estimated model size:"
diff --git a/invokeai/backend/model_management/model_manager.py b/invokeai/backend/model_management/model_manager.py
index 7bb188cb4e..38a7361c85 100644
--- a/invokeai/backend/model_management/model_manager.py
+++ b/invokeai/backend/model_management/model_manager.py
@@ -236,13 +236,13 @@ import types
from dataclasses import dataclass
from pathlib import Path
from shutil import move, rmtree
-from typing import Callable, Dict, List, Literal, Optional, Set, Tuple, Union
+from typing import Callable, Dict, List, Literal, Optional, Set, Tuple, Union, cast
import torch
import yaml
from omegaconf import OmegaConf
from omegaconf.dictconfig import DictConfig
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
import invokeai.backend.util.logging as logger
from invokeai.app.services.config import InvokeAIAppConfig
@@ -294,6 +294,8 @@ class AddModelResult(BaseModel):
base_model: BaseModelType = Field(description="The base model")
config: ModelConfigBase = Field(description="The configuration of the model")
+ model_config = ConfigDict(protected_namespaces=())
+
MAX_CACHE_SIZE = 6.0 # GB
@@ -576,7 +578,7 @@ class ModelManager(object):
"""
model_key = self.create_key(model_name, base_model, model_type)
if model_key in self.models:
- return self.models[model_key].dict(exclude_defaults=True)
+ return self.models[model_key].model_dump(exclude_defaults=True)
else:
return None # TODO: None or empty dict on not found
@@ -632,7 +634,7 @@ class ModelManager(object):
continue
model_dict = dict(
- **model_config.dict(exclude_defaults=True),
+ **model_config.model_dump(exclude_defaults=True),
# OpenAPIModelInfoBase
model_name=cur_model_name,
base_model=cur_base_model,
@@ -900,14 +902,16 @@ class ModelManager(object):
Write current configuration out to the indicated file.
"""
data_to_save = dict()
- data_to_save["__metadata__"] = self.config_meta.dict()
+ data_to_save["__metadata__"] = self.config_meta.model_dump()
for model_key, model_config in self.models.items():
model_name, base_model, model_type = self.parse_key(model_key)
model_class = self._get_implementation(base_model, model_type)
if model_class.save_to_config:
# TODO: or exclude_unset better fits here?
- data_to_save[model_key] = model_config.dict(exclude_defaults=True, exclude={"error"})
+ data_to_save[model_key] = cast(BaseModel, model_config).model_dump(
+ exclude_defaults=True, exclude={"error"}, mode="json"
+ )
# alias for config file
data_to_save[model_key]["format"] = data_to_save[model_key].pop("model_format")
@@ -986,6 +990,8 @@ class ModelManager(object):
for model_path in models_dir.iterdir():
if model_path not in loaded_files: # TODO: check
+ if model_path.name.startswith("."):
+ continue
model_name = model_path.name if model_path.is_dir() else model_path.stem
model_key = self.create_key(model_name, cur_base_model, cur_model_type)
diff --git a/invokeai/backend/model_management/models/__init__.py b/invokeai/backend/model_management/models/__init__.py
index bf4b208395..0afd731032 100644
--- a/invokeai/backend/model_management/models/__init__.py
+++ b/invokeai/backend/model_management/models/__init__.py
@@ -2,7 +2,7 @@ import inspect
from enum import Enum
from typing import Literal, get_origin
-from pydantic import BaseModel
+from pydantic import BaseModel, ConfigDict, create_model
from .base import ( # noqa: F401
BaseModelType,
@@ -106,6 +106,8 @@ class OpenAPIModelInfoBase(BaseModel):
base_model: BaseModelType
model_type: ModelType
+ model_config = ConfigDict(protected_namespaces=())
+
for base_model, models in MODEL_CLASSES.items():
for model_type, model_class in models.items():
@@ -121,17 +123,11 @@ for base_model, models in MODEL_CLASSES.items():
if openapi_cfg_name in vars():
continue
- api_wrapper = type(
+ api_wrapper = create_model(
openapi_cfg_name,
- (cfg, OpenAPIModelInfoBase),
- dict(
- __annotations__=dict(
- model_type=Literal[model_type.value],
- ),
- ),
+ __base__=(cfg, OpenAPIModelInfoBase),
+ model_type=(Literal[model_type], model_type), # type: ignore
)
-
- # globals()[openapi_cfg_name] = api_wrapper
vars()[openapi_cfg_name] = api_wrapper
OPENAPI_MODEL_CONFIGS.append(api_wrapper)
diff --git a/invokeai/backend/model_management/models/base.py b/invokeai/backend/model_management/models/base.py
index 6e507735d4..f735e37189 100644
--- a/invokeai/backend/model_management/models/base.py
+++ b/invokeai/backend/model_management/models/base.py
@@ -19,7 +19,7 @@ from diffusers import logging as diffusers_logging
from onnx import numpy_helper
from onnxruntime import InferenceSession, SessionOptions, get_available_providers
from picklescan.scanner import scan_file_path
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
from transformers import logging as transformers_logging
@@ -86,14 +86,21 @@ class ModelError(str, Enum):
NotFound = "not_found"
+def model_config_json_schema_extra(schema: dict[str, Any]) -> None:
+ if "required" not in schema:
+ schema["required"] = []
+ schema["required"].append("model_type")
+
+
class ModelConfigBase(BaseModel):
path: str # or Path
description: Optional[str] = Field(None)
model_format: Optional[str] = Field(None)
error: Optional[ModelError] = Field(None)
- class Config:
- use_enum_values = True
+ model_config = ConfigDict(
+ use_enum_values=True, protected_namespaces=(), json_schema_extra=model_config_json_schema_extra
+ )
class EmptyConfigLoader(ConfigMixin):
diff --git a/invokeai/backend/model_management/models/ip_adapter.py b/invokeai/backend/model_management/models/ip_adapter.py
index 63694af0c8..c60edd0abe 100644
--- a/invokeai/backend/model_management/models/ip_adapter.py
+++ b/invokeai/backend/model_management/models/ip_adapter.py
@@ -58,14 +58,16 @@ class IPAdapterModel(ModelBase):
def get_model(
self,
- torch_dtype: Optional[torch.dtype],
+ torch_dtype: torch.dtype,
child_type: Optional[SubModelType] = None,
) -> typing.Union[IPAdapter, IPAdapterPlus]:
if child_type is not None:
raise ValueError("There are no child models in an IP-Adapter model.")
model = build_ip_adapter(
- ip_adapter_ckpt_path=os.path.join(self.model_path, "ip_adapter.bin"), device="cpu", dtype=torch_dtype
+ ip_adapter_ckpt_path=os.path.join(self.model_path, "ip_adapter.bin"),
+ device=torch.device("cpu"),
+ dtype=torch_dtype,
)
self.model_size = model.calc_size()
diff --git a/invokeai/backend/model_management/seamless.py b/invokeai/backend/model_management/seamless.py
index 7138f2e123..bfdf9e0c53 100644
--- a/invokeai/backend/model_management/seamless.py
+++ b/invokeai/backend/model_management/seamless.py
@@ -96,7 +96,7 @@ def set_seamless(model: Union[UNet2DConditionModel, AutoencoderKL], seamless_axe
finally:
for module, orig_conv_forward in to_restore:
module._conv_forward = orig_conv_forward
- if hasattr(m, "asymmetric_padding_mode"):
- del m.asymmetric_padding_mode
- if hasattr(m, "asymmetric_padding"):
- del m.asymmetric_padding
+ if hasattr(module, "asymmetric_padding_mode"):
+ del module.asymmetric_padding_mode
+ if hasattr(module, "asymmetric_padding"):
+ del module.asymmetric_padding
diff --git a/invokeai/backend/stable_diffusion/diffusion/cross_attention_map_saving.py b/invokeai/backend/stable_diffusion/diffusion/cross_attention_map_saving.py
index abef979b1c..b5ea40185a 100644
--- a/invokeai/backend/stable_diffusion/diffusion/cross_attention_map_saving.py
+++ b/invokeai/backend/stable_diffusion/diffusion/cross_attention_map_saving.py
@@ -1,7 +1,8 @@
import math
+from typing import Optional
-import PIL
import torch
+from PIL import Image
from torchvision.transforms.functional import InterpolationMode
from torchvision.transforms.functional import resize as tv_resize
@@ -11,7 +12,7 @@ class AttentionMapSaver:
self.token_ids = token_ids
self.latents_shape = latents_shape
# self.collated_maps = #torch.zeros([len(token_ids), latents_shape[0], latents_shape[1]])
- self.collated_maps = {}
+ self.collated_maps: dict[str, torch.Tensor] = {}
def clear_maps(self):
self.collated_maps = {}
@@ -38,9 +39,10 @@ class AttentionMapSaver:
def write_maps_to_disk(self, path: str):
pil_image = self.get_stacked_maps_image()
- pil_image.save(path, "PNG")
+ if pil_image is not None:
+ pil_image.save(path, "PNG")
- def get_stacked_maps_image(self) -> PIL.Image:
+ def get_stacked_maps_image(self) -> Optional[Image.Image]:
"""
Scale all collected attention maps to the same size, blend them together and return as an image.
:return: An image containing a vertical stack of blended attention maps, one for each requested token.
@@ -95,4 +97,4 @@ class AttentionMapSaver:
return None
merged_bytes = merged.mul(0xFF).byte()
- return PIL.Image.fromarray(merged_bytes.numpy(), mode="L")
+ return Image.fromarray(merged_bytes.numpy(), mode="L")
diff --git a/invokeai/backend/util/test_utils.py b/invokeai/backend/util/test_utils.py
index 1c7b538882..09b9de9e98 100644
--- a/invokeai/backend/util/test_utils.py
+++ b/invokeai/backend/util/test_utils.py
@@ -5,7 +5,7 @@ from typing import Optional, Union
import pytest
import torch
-from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig
+from invokeai.app.services.config.config_default import InvokeAIAppConfig
from invokeai.backend.install.model_install_backend import ModelInstall
from invokeai.backend.model_management.model_manager import ModelInfo
from invokeai.backend.model_management.models.base import BaseModelType, ModelNotFoundException, ModelType, SubModelType
diff --git a/invokeai/frontend/install/model_install.py b/invokeai/frontend/install/model_install.py
index 1fb3b61891..0ea2570b2b 100644
--- a/invokeai/frontend/install/model_install.py
+++ b/invokeai/frontend/install/model_install.py
@@ -20,6 +20,7 @@ from multiprocessing import Process
from multiprocessing.connection import Connection, Pipe
from pathlib import Path
from shutil import get_terminal_size
+from typing import Optional
import npyscreen
import torch
@@ -630,21 +631,23 @@ def ask_user_for_prediction_type(model_path: Path, tui_conn: Connection = None)
return _ask_user_for_pt_cmdline(model_path)
-def _ask_user_for_pt_cmdline(model_path: Path) -> SchedulerPredictionType:
+def _ask_user_for_pt_cmdline(model_path: Path) -> Optional[SchedulerPredictionType]:
choices = [SchedulerPredictionType.Epsilon, SchedulerPredictionType.VPrediction, None]
print(
f"""
-Please select the type of the V2 checkpoint named {model_path.name}:
-[1] A model based on Stable Diffusion v2 trained on 512 pixel images (SD-2-base)
-[2] A model based on Stable Diffusion v2 trained on 768 pixel images (SD-2-768)
-[3] Skip this model and come back later.
+Please select the scheduler prediction type of the checkpoint named {model_path.name}:
+[1] "epsilon" - most v1.5 models and v2 models trained on 512 pixel images
+[2] "vprediction" - v2 models trained on 768 pixel images and a few v1.5 models
+[3] Accept the best guess; you can fix it in the Web UI later
"""
)
choice = None
ok = False
while not ok:
try:
- choice = input("select> ").strip()
+ choice = input("select [3]> ").strip()
+ if not choice:
+ return None
choice = choices[int(choice) - 1]
ok = True
except (ValueError, IndexError):
@@ -655,22 +658,18 @@ Please select the type of the V2 checkpoint named {model_path.name}:
def _ask_user_for_pt_tui(model_path: Path, tui_conn: Connection) -> SchedulerPredictionType:
- try:
- tui_conn.send_bytes(f"*need v2 config for:{model_path}".encode("utf-8"))
- # note that we don't do any status checking here
- response = tui_conn.recv_bytes().decode("utf-8")
- if response is None:
- return None
- elif response == "epsilon":
- return SchedulerPredictionType.epsilon
- elif response == "v":
- return SchedulerPredictionType.VPrediction
- elif response == "abort":
- logger.info("Conversion aborted")
- return None
- else:
- return response
- except Exception:
+ tui_conn.send_bytes(f"*need v2 config for:{model_path}".encode("utf-8"))
+ # note that we don't do any status checking here
+ response = tui_conn.recv_bytes().decode("utf-8")
+ if response is None:
+ return None
+ elif response == "epsilon":
+ return SchedulerPredictionType.epsilon
+ elif response == "v":
+ return SchedulerPredictionType.VPrediction
+ elif response == "guess":
+ return None
+ else:
return None
diff --git a/invokeai/frontend/install/widgets.py b/invokeai/frontend/install/widgets.py
index 06d5473fa3..4a37aba9b8 100644
--- a/invokeai/frontend/install/widgets.py
+++ b/invokeai/frontend/install/widgets.py
@@ -381,12 +381,12 @@ def select_stable_diffusion_config_file(
wrap: bool = True,
model_name: str = "Unknown",
):
- message = f"Please select the correct base model for the V2 checkpoint named '{model_name}'. Press <CANCEL> to skip installation."
+ message = f"Please select the correct prediction type for the checkpoint named '{model_name}'. Press <CANCEL> to skip installation."
title = "CONFIG FILE SELECTION"
options = [
- "An SD v2.x base model (512 pixels; no 'parameterization:' line in its yaml file)",
- "An SD v2.x v-predictive model (768 pixels; 'parameterization: \"v\"' line in its yaml file)",
- "Skip installation for now and come back later",
+ "'epsilon' - most v1.5 models and v2 models trained on 512 pixel images",
+ "'vprediction' - v2 models trained on 768 pixel images and a few v1.5 models)",
+ "Accept the best guess; you can fix it in the Web UI later",
]
F = ConfirmCancelPopup(
@@ -410,7 +410,7 @@ def select_stable_diffusion_config_file(
choice = F.add(
npyscreen.SelectOne,
values=options,
- value=[0],
+ value=[2],
max_height=len(options) + 1,
scroll_exit=True,
)
@@ -420,5 +420,5 @@ def select_stable_diffusion_config_file(
if not F.value:
return None
assert choice.value[0] in range(0, 3), "invalid choice"
- choices = ["epsilon", "v", "abort"]
+ choices = ["epsilon", "v", "guess"]
return choices[choice.value[0]]
diff --git a/invokeai/frontend/web/.prettierignore b/invokeai/frontend/web/.prettierignore
index 0c18899000..bdf02d5c9e 100644
--- a/invokeai/frontend/web/.prettierignore
+++ b/invokeai/frontend/web/.prettierignore
@@ -1,4 +1,5 @@
dist/
+public/locales/*.json
.husky/
node_modules/
patches/
diff --git a/invokeai/frontend/web/dist/assets/App-6a1ad010.js b/invokeai/frontend/web/dist/assets/App-6a1ad010.js
deleted file mode 100644
index 6b8d14f198..0000000000
--- a/invokeai/frontend/web/dist/assets/App-6a1ad010.js
+++ /dev/null
@@ -1,169 +0,0 @@
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vk=Object.getOwnPropertySymbols,YQ=Object.prototype.hasOwnProperty,ZQ=Object.prototype.propertyIsEnumerable,JQ=(e,t)=>{var n={};for(var r in e)YQ.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&vk)for(var r of vk(e))t.indexOf(r)<0&&ZQ.call(e,r)&&(n[r]=e[r]);return n};const eY={position:"bottom",offset:8,positionDependencies:[],transitionProps:{transition:"fade",duration:150},middlewares:{flip:!0,shift:!0,inline:!1},arrowSize:7,arrowOffset:5,arrowRadius:0,arrowPosition:"side",closeOnClickOutside:!0,withinPortal:!1,closeOnEscape:!0,trapFocus:!1,withRoles:!0,returnFocus:!1,clickOutsideEvents:["mousedown","touchstart"],zIndex:ey("popover"),__staticSelector:"Popover",width:"max-content"};function Bc(e){var t,n,r,o,s,i;const l=d.useRef(null),u=Dn("Popover",eY,e),{children:p,position:m,offset:h,onPositionChange:g,positionDependencies:x,opened:y,transitionProps:b,width:w,middlewares:S,withArrow:j,arrowSize:_,arrowOffset:E,arrowRadius:I,arrowPosition:M,unstyled:R,classNames:D,styles:A,closeOnClickOutside:O,withinPortal:T,portalProps:X,closeOnEscape:B,clickOutsideEvents:V,trapFocus:U,onClose:N,onOpen:$,onChange:q,zIndex:F,radius:Q,shadow:Y,id:se,defaultOpened:ae,__staticSelector:re,withRoles:G,disabled:K,returnFocus:ee,variant:ce,keepMounted:J}=u,ie=JQ(u,["children","position","offset","onPositionChange","positionDependencies","opened","transitionProps","width","middlewares","withArrow","arrowSize","arrowOffset","arrowRadius","arrowPosition","unstyled","classNames","styles","closeOnClickOutside","withinPortal","portalProps","closeOnEscape","clickOutsideEvents","trapFocus","onClose","onOpen","onChange","zIndex","radius","shadow","id","defaultOpened","__staticSelector","withRoles","disabled","returnFocus","variant","keepMounted"]),[de,ge]=d.useState(null),[Ce,he]=d.useState(null),fe=ny(se),Oe=xa(),_e=vQ({middlewares:S,width:w,position:QQ(Oe.dir,m),offset:typeof h=="number"?h+(j?_/2:0):h,arrowRef:l,arrowOffset:E,onPositionChange:g,positionDependencies:x,opened:y,defaultOpened:ae,onChange:q,onOpen:$,onClose:N});PG(()=>_e.opened&&O&&_e.onClose(),V,[de,Ce]);const Ne=d.useCallback($e=>{ge($e),_e.floating.reference($e)},[_e.floating.reference]),nt=d.useCallback($e=>{he($e),_e.floating.floating($e)},[_e.floating.floating]);return H.createElement(xQ,{value:{returnFocus:ee,disabled:K,controlled:_e.controlled,reference:Ne,floating:nt,x:_e.floating.x,y:_e.floating.y,arrowX:(r=(n=(t=_e.floating)==null?void 0:t.middlewareData)==null?void 0:n.arrow)==null?void 0:r.x,arrowY:(i=(s=(o=_e.floating)==null?void 0:o.middlewareData)==null?void 0:s.arrow)==null?void 0:i.y,opened:_e.opened,arrowRef:l,transitionProps:b,width:w,withArrow:j,arrowSize:_,arrowOffset:E,arrowRadius:I,arrowPosition:M,placement:_e.floating.placement,trapFocus:U,withinPortal:T,portalProps:X,zIndex:F,radius:Q,shadow:Y,closeOnEscape:B,onClose:_e.onClose,onToggle:_e.onToggle,getTargetId:()=>`${fe}-target`,getDropdownId:()=>`${fe}-dropdown`,withRoles:G,targetProps:ie,__staticSelector:re,classNames:D,styles:A,unstyled:R,variant:ce,keepMounted:J}},p)}Bc.Target=nE;Bc.Dropdown=uE;Bc.displayName="@mantine/core/Popover";var tY=Object.defineProperty,$m=Object.getOwnPropertySymbols,dE=Object.prototype.hasOwnProperty,fE=Object.prototype.propertyIsEnumerable,xk=(e,t,n)=>t in e?tY(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n,nY=(e,t)=>{for(var n in t||(t={}))dE.call(t,n)&&xk(e,n,t[n]);if($m)for(var n of $m(t))fE.call(t,n)&&xk(e,n,t[n]);return e},rY=(e,t)=>{var n={};for(var r in e)dE.call(e,r)&&t.indexOf(r)<0&&(n[r]=e[r]);if(e!=null&&$m)for(var r of 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a.jsxs(Po,{children:[a.jsx(tt,{label:p("controlnet.detectResolution"),value:s,onChange:m,handleReset:y,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:!r}),a.jsx(tt,{label:p("controlnet.imageResolution"),value:o,onChange:h,handleReset:b,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:!r}),a.jsx(tt,{label:p("controlnet.w"),value:i,onChange:g,handleReset:w,withReset:!0,min:0,max:1,step:.01,withInput:!0,withSliderMarks:!0,isDisabled:!r}),a.jsx(tt,{label:p("controlnet.h"),value:l,onChange:x,handleReset:S,withReset:!0,min:0,max:1,step:.01,withInput:!0,withSliderMarks:!0,isDisabled:!r})]})},Ole=d.memo(Mle),i_=Fr.normalbae_image_processor.default,Rle=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s}=n,i=Io(),{t:l}=Z(),u=d.useCallback(g=>{i(t,{detect_resolution:g})},[t,i]),p=d.useCallback(g=>{i(t,{image_resolution:g})},[t,i]),m=d.useCallback(()=>{i(t,{detect_resolution:i_.detect_resolution})},[t,i]),h=d.useCallback(()=>{i(t,{image_resolution:i_.image_resolution})},[t,i]);return a.jsxs(Po,{children:[a.jsx(tt,{label:l("controlnet.detectResolution"),value:s,onChange:u,handleReset:m,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:!r}),a.jsx(tt,{label:l("controlnet.imageResolution"),value:o,onChange:p,handleReset:h,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:!r})]})},Dle=d.memo(Rle),l_=Fr.openpose_image_processor.default,Ale=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s,hand_and_face:i}=n,l=Io(),{t:u}=Z(),p=d.useCallback(y=>{l(t,{detect_resolution:y})},[t,l]),m=d.useCallback(y=>{l(t,{image_resolution:y})},[t,l]),h=d.useCallback(()=>{l(t,{detect_resolution:l_.detect_resolution})},[t,l]),g=d.useCallback(()=>{l(t,{image_resolution:l_.image_resolution})},[t,l]),x=d.useCallback(y=>{l(t,{hand_and_face:y.target.checked})},[t,l]);return a.jsxs(Po,{children:[a.jsx(tt,{label:u("controlnet.detectResolution"),value:s,onChange:p,handleReset:h,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:!r}),a.jsx(tt,{label:u("controlnet.imageResolution"),value:o,onChange:m,handleReset:g,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:!r}),a.jsx(fn,{label:u("controlnet.handAndFace"),isChecked:i,onChange:x,isDisabled:!r})]})},Tle=d.memo(Ale),c_=Fr.pidi_image_processor.default,Nle=e=>{const{controlNetId:t,processorNode:n,isEnabled:r}=e,{image_resolution:o,detect_resolution:s,scribble:i,safe:l}=n,u=Io(),{t:p}=Z(),m=d.useCallback(w=>{u(t,{detect_resolution:w})},[t,u]),h=d.useCallback(w=>{u(t,{image_resolution:w})},[t,u]),g=d.useCallback(()=>{u(t,{detect_resolution:c_.detect_resolution})},[t,u]),x=d.useCallback(()=>{u(t,{image_resolution:c_.image_resolution})},[t,u]),y=d.useCallback(w=>{u(t,{scribble:w.target.checked})},[t,u]),b=d.useCallback(w=>{u(t,{safe:w.target.checked})},[t,u]);return a.jsxs(Po,{children:[a.jsx(tt,{label:p("controlnet.detectResolution"),value:s,onChange:m,handleReset:g,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:!r}),a.jsx(tt,{label:p("controlnet.imageResolution"),value:o,onChange:h,handleReset:x,withReset:!0,min:0,max:4096,withInput:!0,withSliderMarks:!0,isDisabled:!r}),a.jsx(fn,{label:p("controlnet.scribble"),isChecked:i,onChange:y}),a.jsx(fn,{label:p("controlnet.safe"),isChecked:l,onChange:b,isDisabled:!r})]})},$le=d.memo(Nle),Lle=e=>null,zle=d.memo(Lle),Fle=e=>{const{controlNetId:t,isEnabled:n,processorNode:r}=e.controlNet;return 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a.jsx(fn,{label:s("controlnet.autoConfigure"),"aria-label":s("controlnet.autoConfigure"),isChecked:r,onChange:i,isDisabled:!n})},Vle=d.memo(Hle),Wle=e=>{const{controlNet:t}=e,n=te(),{t:r}=Z(),o=d.useCallback(()=>{n(HA({controlNet:t}))},[t,n]),s=d.useCallback(()=>{n(VA({controlNet:t}))},[t,n]);return a.jsxs(L,{sx:{gap:2},children:[a.jsx(Fe,{size:"sm",icon:a.jsx(Yi,{}),tooltip:r("controlnet.importImageFromCanvas"),"aria-label":r("controlnet.importImageFromCanvas"),onClick:o}),a.jsx(Fe,{size:"sm",icon:a.jsx(mM,{}),tooltip:r("controlnet.importMaskFromCanvas"),"aria-label":r("controlnet.importMaskFromCanvas"),onClick:s})]})},Ule=d.memo(Wle),u_=e=>`${Math.round(e*100)}%`,Gle=e=>{const{beginStepPct:t,endStepPct:n,isEnabled:r,controlNetId:o}=e.controlNet,s=te(),{t:i}=Z(),l=d.useCallback(u=>{s(WA({controlNetId:o,beginStepPct:u[0]})),s(UA({controlNetId:o,endStepPct:u[1]}))},[o,s]);return a.jsx(Et,{feature:"controlNetBeginEnd",children:a.jsxs(Kt,{isDisabled:!r,children:[a.jsx(wn,{children:i("controlnet.beginEndStepPercent")}),a.jsx(Rh,{w:"100%",gap:2,alignItems:"center",children:a.jsxs(Vb,{"aria-label":["Begin Step %","End Step %!"],value:[t,n],onChange:l,min:0,max:1,step:.01,minStepsBetweenThumbs:5,isDisabled:!r,children:[a.jsx(Wb,{children:a.jsx(Ub,{})}),a.jsx(Ft,{label:u_(t),placement:"top",hasArrow:!0,children:a.jsx(nd,{index:0})}),a.jsx(Ft,{label:u_(n),placement:"top",hasArrow:!0,children:a.jsx(nd,{index:1})}),a.jsx(Ti,{value:0,sx:{insetInlineStart:"0 !important",insetInlineEnd:"unset !important"},children:"0%"}),a.jsx(Ti,{value:.5,sx:{insetInlineStart:"50% !important",transform:"translateX(-50%)"},children:"50%"}),a.jsx(Ti,{value:1,sx:{insetInlineStart:"unset !important",insetInlineEnd:"0 !important"},children:"100%"})]})})]})})},Kle=d.memo(Gle);function qle(e){const{controlMode:t,isEnabled:n,controlNetId:r}=e.controlNet,o=te(),{t:s}=Z(),i=[{label:s("controlnet.balanced"),value:"balanced"},{label:s("controlnet.prompt"),value:"more_prompt"},{label:s("controlnet.control"),value:"more_control"},{label:s("controlnet.megaControl"),value:"unbalanced"}],l=d.useCallback(u=>{o(GA({controlNetId:r,controlMode:u}))},[r,o]);return a.jsx(Et,{feature:"controlNetControlMode",children:a.jsx(Pn,{disabled:!n,label:s("controlnet.controlMode"),data:i,value:String(t),onChange:l})})}const Xle=le(Xy,e=>nr(Fr,n=>({value:n.type,label:n.label})).sort((n,r)=>n.value==="none"?-1:r.value==="none"?1:n.label.localeCompare(r.label)).filter(n=>!e.sd.disabledControlNetProcessors.includes(n.value)),Se),Qle=e=>{const t=te(),{controlNetId:n,isEnabled:r,processorNode:o}=e.controlNet,s=W(Xle),{t:i}=Z(),l=d.useCallback(u=>{t(KA({controlNetId:n,processorType:u}))},[n,t]);return a.jsx(nn,{label:i("controlnet.processor"),value:o.type??"canny_image_processor",data:s,onChange:l,disabled:!r})},Yle=d.memo(Qle);function Zle(e){const{resizeMode:t,isEnabled:n,controlNetId:r}=e.controlNet,o=te(),{t:s}=Z(),i=[{label:s("controlnet.resize"),value:"just_resize"},{label:s("controlnet.crop"),value:"crop_resize"},{label:s("controlnet.fill"),value:"fill_resize"}],l=d.useCallback(u=>{o(qA({controlNetId:r,resizeMode:u}))},[r,o]);return a.jsx(Et,{feature:"controlNetResizeMode",children:a.jsx(Pn,{disabled:!n,label:s("controlnet.resizeMode"),data:i,value:String(t),onChange:l})})}const Jle=e=>{const{controlNet:t}=e,{controlNetId:n}=t,r=te(),{t:o}=Z(),s=W(Jn),i=le(xe,({controlNet:y})=>{const b=y.controlNets[n];if(!b)return{isEnabled:!1,shouldAutoConfig:!1};const{isEnabled:w,shouldAutoConfig:S}=b;return{isEnabled:w,shouldAutoConfig:S}},Se),{isEnabled:l,shouldAutoConfig:u}=W(i),[p,m]=dee(!1),h=d.useCallback(()=>{r(XA({controlNetId:n}))},[n,r]),g=d.useCallback(()=>{r(QA({sourceControlNetId:n,newControlNetId:Zs()}))},[n,r]),x=d.useCallback(y=>{r(YA({controlNetId:n,isEnabled:y.target.checked}))},[n,r]);return a.jsxs(L,{sx:{flexDir:"column",gap:3,p:2,borderRadius:"base",position:"relative",bg:"base.250",_dark:{bg:"base.750"}},children:[a.jsxs(L,{sx:{gap:2,alignItems:"center"},children:[a.jsx(fn,{tooltip:o("controlnet.toggleControlNet"),"aria-label":o("controlnet.toggleControlNet"),isChecked:l,onChange:x}),a.jsx(Ie,{sx:{w:"full",minW:0,transitionProperty:"common",transitionDuration:"0.1s"},children:a.jsx(lle,{controlNet:t})}),s==="unifiedCanvas"&&a.jsx(Ule,{controlNet:t}),a.jsx(Fe,{size:"sm",tooltip:o("controlnet.duplicate"),"aria-label":o("controlnet.duplicate"),onClick:g,icon:a.jsx(Hc,{})}),a.jsx(Fe,{size:"sm",tooltip:o("controlnet.delete"),"aria-label":o("controlnet.delete"),colorScheme:"error",onClick:h,icon:a.jsx(Br,{})}),a.jsx(Fe,{size:"sm",tooltip:o(p?"controlnet.hideAdvanced":"controlnet.showAdvanced"),"aria-label":o(p?"controlnet.hideAdvanced":"controlnet.showAdvanced"),onClick:m,variant:"ghost",sx:{_hover:{bg:"none"}},icon:a.jsx(gg,{sx:{boxSize:4,color:"base.700",transform:p?"rotate(0deg)":"rotate(180deg)",transitionProperty:"common",transitionDuration:"normal",_dark:{color:"base.300"}}})}),!u&&a.jsx(Ie,{sx:{position:"absolute",w:1.5,h:1.5,borderRadius:"full",top:4,insetInlineEnd:4,bg:"accent.700",_dark:{bg:"accent.400"}}})]}),a.jsxs(L,{sx:{w:"full",flexDirection:"column",gap:3},children:[a.jsxs(L,{sx:{gap:4,w:"full",alignItems:"center"},children:[a.jsxs(L,{sx:{flexDir:"column",gap:3,h:28,w:"full",paddingInlineStart:1,paddingInlineEnd:p?1:0,pb:2,justifyContent:"space-between"},children:[a.jsx(ule,{controlNet:t}),a.jsx(Kle,{controlNet:t})]}),!p&&a.jsx(L,{sx:{alignItems:"center",justifyContent:"center",h:28,w:28,aspectRatio:"1/1"},children:a.jsx(e_,{controlNet:t,isSmall:!0})})]}),a.jsxs(L,{sx:{gap:2},children:[a.jsx(qle,{controlNet:t}),a.jsx(Zle,{controlNet:t})]}),a.jsx(Yle,{controlNet:t})]}),p&&a.jsxs(a.Fragment,{children:[a.jsx(e_,{controlNet:t}),a.jsx(Vle,{controlNet:t}),a.jsx(Ble,{controlNet:t})]})]})},ece=d.memo(Jle),d_=e=>`${Math.round(e*100)}%`,tce=()=>{const 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f=c.alternate;f!==null&&(c.alternate=null,PC(f)),c.child=null,c.deletions=null,c.sibling=null,c.tag===5&&(f=c.stateNode,f!==null&&_e(f)),c.stateNode=null,c.return=null,c.dependencies=null,c.memoizedProps=null,c.memoizedState=null,c.pendingProps=null,c.stateNode=null,c.updateQueue=null}function EC(c){return c.tag===5||c.tag===3||c.tag===4}function MC(c){e:for(;;){for(;c.sibling===null;){if(c.return===null||EC(c.return))return null;c=c.return}for(c.sibling.return=c.return,c=c.sibling;c.tag!==5&&c.tag!==6&&c.tag!==18;){if(c.flags&2||c.child===null||c.tag===4)continue e;c.child.return=c,c=c.child}if(!(c.flags&2))return c.stateNode}}function M0(c,f,v){var C=c.tag;if(C===5||C===6)c=c.stateNode,f?Ut(v,c,f):Je(v,c);else if(C!==4&&(c=c.child,c!==null))for(M0(c,f,v),c=c.sibling;c!==null;)M0(c,f,v),c=c.sibling}function O0(c,f,v){var C=c.tag;if(C===5||C===6)c=c.stateNode,f?Le(v,c,f):be(v,c);else if(C!==4&&(c=c.child,c!==null))for(O0(c,f,v),c=c.sibling;c!==null;)O0(c,f,v),c=c.sibling}var er=null,To=!1;function ds(c,f,v){for(v=v.child;v!==null;)R0(c,f,v),v=v.sibling}function R0(c,f,v){if(ss&&typeof ss.onCommitFiberUnmount=="function")try{ss.onCommitFiberUnmount(lf,v)}catch{}switch(v.tag){case 5:ar||Il(v,f);case 6:if(de){var C=er,k=To;er=null,ds(c,f,v),er=C,To=k,er!==null&&(To?Be(er,v.stateNode):ke(er,v.stateNode))}else ds(c,f,v);break;case 18:de&&er!==null&&(To?Fn(er,v.stateNode):Fg(er,v.stateNode));break;case 4:de?(C=er,k=To,er=v.stateNode.containerInfo,To=!0,ds(c,f,v),er=C,To=k):(ge&&(C=v.stateNode.containerInfo,k=Ln(C),ln(C,k)),ds(c,f,v));break;case 0:case 11:case 14:case 15:if(!ar&&(C=v.updateQueue,C!==null&&(C=C.lastEffect,C!==null))){k=C=C.next;do{var P=k,z=P.destroy;P=P.tag,z!==void 0&&(P&2||P&4)&&P0(v,f,z),k=k.next}while(k!==C)}ds(c,f,v);break;case 1:if(!ar&&(Il(v,f),C=v.stateNode,typeof C.componentWillUnmount=="function"))try{C.props=v.memoizedProps,C.state=v.memoizedState,C.componentWillUnmount()}catch(ne){un(v,f,ne)}ds(c,f,v);break;case 21:ds(c,f,v);break;case 22:v.mode&1?(ar=(C=ar)||v.memoizedState!==null,ds(c,f,v),ar=C):ds(c,f,v);break;default:ds(c,f,v)}}function OC(c){var f=c.updateQueue;if(f!==null){c.updateQueue=null;var v=c.stateNode;v===null&&(v=c.stateNode=new J7),f.forEach(function(C){var k=cR.bind(null,c,C);v.has(C)||(v.add(C),C.then(k,k))})}}function No(c,f){var v=f.deletions;if(v!==null)for(var C=0;C<v.length;C++){var k=v[C];try{var P=c,z=f;if(de){var ne=z;e:for(;ne!==null;){switch(ne.tag){case 5:er=ne.stateNode,To=!1;break e;case 3:er=ne.stateNode.containerInfo,To=!0;break e;case 4:er=ne.stateNode.containerInfo,To=!0;break e}ne=ne.return}if(er===null)throw Error(i(160));R0(P,z,k),er=null,To=!1}else R0(P,z,k);var pe=k.alternate;pe!==null&&(pe.return=null),k.return=null}catch(Ee){un(k,f,Ee)}}if(f.subtreeFlags&12854)for(f=f.child;f!==null;)RC(f,c),f=f.sibling}function RC(c,f){var v=c.alternate,C=c.flags;switch(c.tag){case 0:case 11:case 14:case 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z=C.stateNode.containerInfo,ne=MC(c);M0(c,ne,z);break;default:throw Error(i(161))}}}catch(pe){un(c,c.return,pe)}c.flags&=-3}f&4096&&(c.flags&=-4097)}function tR(c,f,v){Ke=c,DC(c)}function DC(c,f,v){for(var C=(c.mode&1)!==0;Ke!==null;){var k=Ke,P=k.child;if(k.tag===22&&C){var z=k.memoizedState!==null||Mf;if(!z){var ne=k.alternate,pe=ne!==null&&ne.memoizedState!==null||ar;ne=Mf;var Ee=ar;if(Mf=z,(ar=pe)&&!Ee)for(Ke=k;Ke!==null;)z=Ke,pe=z.child,z.tag===22&&z.memoizedState!==null?NC(k):pe!==null?(pe.return=z,Ke=pe):NC(k);for(;P!==null;)Ke=P,DC(P),P=P.sibling;Ke=k,Mf=ne,ar=Ee}AC(c)}else k.subtreeFlags&8772&&P!==null?(P.return=k,Ke=P):AC(c)}}function AC(c){for(;Ke!==null;){var f=Ke;if(f.flags&8772){var v=f.alternate;try{if(f.flags&8772)switch(f.tag){case 0:case 11:case 15:ar||Of(5,f);break;case 1:var C=f.stateNode;if(f.flags&4&&!ar)if(v===null)C.componentDidMount();else{var 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P=v.lanes|v.childLanes;if(M7(c,P),c===qn&&(Tn=qn=null,tr=0),!(v.subtreeFlags&2064)&&!(v.flags&2064)||Ff||(Ff=!0,qC(Kg,function(){return Si(),null})),P=(v.flags&15990)!==0,v.subtreeFlags&15990||P){P=Mn.transition,Mn.transition=null;var z=Nt;Nt=1;var ne=jt;jt|=4,$0.current=null,eR(c,v),RC(v,c),Q(c.containerInfo),c.current=v,tR(v),R7(),jt=ne,Nt=z,Mn.transition=P}else c.current=v;if(Ff&&(Ff=!1,Ma=c,Bf=k),P=c.pendingLanes,P===0&&(Ea=null),T7(v.stateNode),Pr(c,Gn()),f!==null)for(C=c.onRecoverableError,v=0;v<f.length;v++)k=f[v],C(k.value,{componentStack:k.stack,digest:k.digest});if(zf)throw zf=!1,c=B0,B0=null,c;return Bf&1&&c.tag!==0&&Si(),P=c.pendingLanes,P&1?c===H0?xu++:(xu=0,H0=c):xu=0,as(),null}function Si(){if(Ma!==null){var c=C2(Bf),f=Mn.transition,v=Nt;try{if(Mn.transition=null,Nt=16>c?16:c,Ma===null)var C=!1;else{if(c=Ma,Ma=null,Bf=0,jt&6)throw Error(i(331));var k=jt;for(jt|=4,Ke=c.current;Ke!==null;){var P=Ke,z=P.child;if(Ke.flags&16){var ne=P.deletions;if(ne!==null){for(var 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Ue=ne.sibling;if(Ue!==null){Ue.return=ne.return,Ke=Ue;break e}Ke=ne.return}}if(jt=k,as(),ss&&typeof ss.onPostCommitFiberRoot=="function")try{ss.onPostCommitFiberRoot(lf,c)}catch{}C=!0}return C}finally{Nt=v,Mn.transition=f}}return!1}function UC(c,f,v){f=_l(v,f),f=cC(c,f,1),c=Pa(c,f,1),f=ir(),c!==null&&(nu(c,1,f),Pr(c,f))}function un(c,f,v){if(c.tag===3)UC(c,c,v);else for(;f!==null;){if(f.tag===3){UC(f,c,v);break}else if(f.tag===1){var C=f.stateNode;if(typeof f.type.getDerivedStateFromError=="function"||typeof C.componentDidCatch=="function"&&(Ea===null||!Ea.has(C))){c=_l(v,c),c=uC(f,c,1),f=Pa(f,c,1),c=ir(),f!==null&&(nu(f,1,c),Pr(f,c));break}}f=f.return}}function iR(c,f,v){var C=c.pingCache;C!==null&&C.delete(f),f=ir(),c.pingedLanes|=c.suspendedLanes&v,qn===c&&(tr&v)===v&&(Hn===4||Hn===3&&(tr&130023424)===tr&&500>Gn()-z0?Ci(c,0):L0|=v),Pr(c,f)}function GC(c,f){f===0&&(c.mode&1?(f=sf,sf<<=1,!(sf&130023424)&&(sf=4194304)):f=1);var v=ir();c=is(c,f),c!==null&&(nu(c,f,v),Pr(c,v))}function 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new file mode 100644
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ype(e){const{model:t}=e,[n,{isLoading:r}]=FT(),o=te(),{t:s}=Z(),l=fi({initialValues:{model_name:t.model_name?t.model_name:"",base_model:t.base_model,model_type:"lora",path:t.path?t.path:"",description:t.description?t.description:"",model_format:t.model_format},validate:{path:u=>u.trim().length===0?"Must provide a path":null}}),i=d.useCallback(u=>{const p={base_model:t.base_model,model_name:t.model_name,body:u};n(p).unwrap().then(m=>{l.setValues(m),o(lt(Qt({title:s("modelManager.modelUpdated"),status:"success"})))}).catch(m=>{l.reset(),o(lt(Qt({title:s("modelManager.modelUpdateFailed"),status:"error"})))})},[o,l,t.base_model,t.model_name,s,n]);return a.jsxs(N,{flexDirection:"column",rowGap:4,width:"100%",children:[a.jsxs(N,{flexDirection:"column",children:[a.jsx(be,{fontSize:"lg",fontWeight:"bold",children:t.model_name}),a.jsxs(be,{fontSize:"sm",color:"base.400",children:[pn[t.base_model]," Model ⋅"," ",BT[t.model_format]," 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a.jsxs(N,{sx:{gap:2,alignItems:"center",w:"full"},children:[a.jsx(N,{as:ot,isChecked:l,sx:{justifyContent:"start",p:2,borderRadius:"base",w:"full",alignItems:"center",bg:l?"accent.400":"base.100",color:l?"base.50":"base.800",_hover:{bg:l?"accent.500":"base.300",color:l?"base.50":"base.800"},_dark:{color:l?"base.50":"base.100",bg:l?"accent.600":"base.850",_hover:{color:l?"base.50":"base.100",bg:l?"accent.550":"base.700"}}},onClick:u,children:a.jsxs(N,{gap:4,alignItems:"center",children:[a.jsx(As,{minWidth:14,p:.5,fontSize:"sm",variant:"solid",children:WT[s.base_model]}),a.jsx(Vt,{label:s.description,hasArrow:!0,placement:"bottom",children:a.jsx(be,{sx:{fontWeight:500},children:s.model_name})})]})}),a.jsx(Ig,{title:t("modelManager.deleteModel"),acceptCallback:p,acceptButtonText:t("modelManager.delete"),triggerComponent:a.jsx(Be,{icon:a.jsx(pne,{}),"aria-label":t("modelManager.deleteConfig"),colorScheme:"error"}),children:a.jsxs(N,{rowGap:4,flexDirection:"column",children:[a.jsx("p",{style:{fontWeight:"bold"},children:t("modelManager.deleteMsg1")}),a.jsx("p",{children:t("modelManager.deleteMsg2")})]})})]})}const wpe=e=>{const{selectedModelId:t,setSelectedModelId:n}=e,{t:r}=Z(),[o,s]=d.useState(""),[l,i]=d.useState("all"),{filteredDiffusersModels:u,isLoadingDiffusersModels:p}=Qo(Ol,{selectFromResult:({data:j,isLoading:E})=>({filteredDiffusersModels:Ou(j,"main","diffusers",o),isLoadingDiffusersModels:E})}),{filteredCheckpointModels:m,isLoadingCheckpointModels:h}=Qo(Ol,{selectFromResult:({data:j,isLoading:E})=>({filteredCheckpointModels:Ou(j,"main","checkpoint",o),isLoadingCheckpointModels:E})}),{filteredLoraModels:g,isLoadingLoraModels:x}=kd(void 0,{selectFromResult:({data:j,isLoading:E})=>({filteredLoraModels:Ou(j,"lora",void 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o=[];return Wn(e==null?void 0:e.entities,s=>{if(!s)return;const l=s.model_name.toLowerCase().includes(r.toLowerCase()),i=n===void 0||s.model_format===n,u=s.model_type===t;l&&i&&u&&o.push(s)}),o},g2=d.memo(e=>a.jsx(N,{flexDirection:"column",gap:4,borderRadius:4,p:4,sx:{bg:"base.200",_dark:{bg:"base.800"}},children:e.children}));g2.displayName="StyledModelContainer";const Xi=d.memo(e=>{const{title:t,modelList:n,selected:r}=e;return a.jsx(g2,{children:a.jsxs(N,{sx:{gap:2,flexDir:"column"},children:[a.jsx(be,{variant:"subtext",fontSize:"sm",children:t}),n.map(o=>a.jsx(Cpe,{model:o,isSelected:r.selectedModelId===o.id,setSelectedModelId:r.setSelectedModelId},o.id))]})})});Xi.displayName="ModelListWrapper";const Qi=d.memo(({loadingMessage:e})=>a.jsx(g2,{children:a.jsxs(N,{justifyContent:"center",alignItems:"center",flexDirection:"column",p:4,gap:8,children:[a.jsx(fa,{}),a.jsx(be,{variant:"subtext",children:e||"Fetching..."})]})}));Qi.displayName="FetchingModelsLoader";function kpe(){const[e,t]=d.useState(),{mainModel:n}=Qo(Ol,{selectFromResult:({data:s})=>({mainModel:e?s==null?void 0:s.entities[e]:void 0})}),{loraModel:r}=kd(void 0,{selectFromResult:({data:s})=>({loraModel:e?s==null?void 0:s.entities[e]:void 0})}),o=n||r;return a.jsxs(N,{sx:{gap:8,w:"full",h:"full"},children:[a.jsx(Spe,{selectedModelId:e,setSelectedModelId:t}),a.jsx(_pe,{model:o})]})}const _pe=e=>{const{model:t}=e;return(t==null?void 0:t.model_format)==="checkpoint"?a.jsx(xpe,{model:t},t.id):(t==null?void 0:t.model_format)==="diffusers"?a.jsx(bpe,{model:t},t.id):(t==null?void 0:t.model_type)==="lora"?a.jsx(ype,{model:t},t.id):a.jsx(N,{sx:{w:"full",h:"full",justifyContent:"center",alignItems:"center",maxH:96,userSelect:"none"},children:a.jsx(be,{variant:"subtext",children:"No Model Selected"})})};function jpe(){const{t:e}=Z();return a.jsxs(N,{sx:{w:"full",p:4,borderRadius:4,gap:4,justifyContent:"space-between",alignItems:"center",bg:"base.200",_dark:{bg:"base.800"}},children:[a.jsxs(N,{sx:{flexDirection:"column",gap:2},children:[a.jsx(be,{sx:{fontWeight:600},children:e("modelManager.syncModels")}),a.jsx(be,{fontSize:"sm",sx:{_dark:{color:"base.400"}},children:e("modelManager.syncModelsDesc")})]}),a.jsx(Xc,{})]})}function Ipe(){return a.jsx(N,{children:a.jsx(jpe,{})})}const 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0,ControlNetModelField:void 0,ControlPolymorphic:void 0,DenoiseMaskField:void 0,float:0,FloatCollection:[],FloatPolymorphic:0,ImageCollection:[],ImageField:void 0,ImagePolymorphic:void 0,integer:0,IntegerCollection:[],IntegerPolymorphic:0,IPAdapterCollection:[],IPAdapterField:void 0,IPAdapterModelField:void 0,IPAdapterPolymorphic:void 0,LatentsCollection:[],LatentsField:void 0,LatentsPolymorphic:void 0,LoRAModelField:void 0,MainModelField:void 0,ONNXModelField:void 0,Scheduler:"euler",SDXLMainModelField:void 0,SDXLRefinerModelField:void 0,string:"",StringCollection:[],StringPolymorphic:"",T2IAdapterCollection:[],T2IAdapterField:void 0,T2IAdapterModelField:void 0,T2IAdapterPolymorphic:void 0,UNetField:void 0,VaeField:void 0,VaeModelField:void 0},Ope=(e,t)=>{const n={id:e,name:t.name,type:t.type,label:"",fieldKind:"input"};return n.value=t.default??Mpe[t.type],n},Dpe=le([e=>e.nodes],e=>e.nodeTemplates),r1={dragHandle:`.${ti}`},Rpe=()=>{const e=W(Dpe),t=db();return d.useCallback(n=>{var 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+ * @license React
+ * react-reconciler.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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pe={mode:"hidden",children:w.children};return!(L&1)&&f.child!==k?(w=f.child,w.childLanes=0,w.pendingProps=pe,f.deletions=null):(w=Aa(k,pe),w.subtreeFlags=k.subtreeFlags&14680064),ne!==null?P=Aa(ne,P):(P=jl(P,L,v,null),P.flags|=2),P.return=f,w.return=f,w.sibling=P,f.child=w,w=P,P=f.child,L=c.child.memoizedState,L=L===null?P0(v):{baseLanes:L.baseLanes|v,cachePool:null,transitions:L.transitions},P.memoizedState=L,P.childLanes=c.childLanes&~v,f.memoizedState=I0,w}return P=c.child,c=P.sibling,w=Aa(P,{mode:"visible",children:w.children}),!(f.mode&1)&&(w.lanes=v),w.return=f,w.sibling=null,c!==null&&(v=f.deletions,v===null?(f.deletions=[c],f.flags|=16):v.push(c)),f.child=w,f.memoizedState=null,w}function E0(c,f){return f=qf({mode:"visible",children:f},c.mode,0,null),f.return=c,c.child=f}function Pf(c,f,v,w){return w!==null&&n0(w),Si(f,c.child,null,v),c=E0(f,f.pendingProps.children),c.flags|=2,f.memoizedState=null,c}function sD(c,f,v,w,k,P,L){if(v)return f.flags&256?(f.flags&=-257,w=S0(Error(l(422))),Pf(c,f,L,w)):f.memoizedState!==null?(f.child=c.child,f.flags|=128,null):(P=w.fallback,k=f.mode,w=qf({mode:"visible",children:w.children},k,0,null),P=jl(P,k,L,null),P.flags|=2,w.return=f,P.return=f,w.sibling=P,f.child=w,f.mode&1&&Si(f,c.child,null,L),f.child.memoizedState=P0(L),f.memoizedState=I0,P);if(!(f.mode&1))return Pf(c,f,L,null);if(Sa(k))return w=ka(k).digest,P=Error(l(419)),w=S0(P,w,void 0),Pf(c,f,L,w);if(v=(L&c.childLanes)!==0,Ir||v){if(w=qn,w!==null){switch(L&-L){case 4:k=2;break;case 16:k=8;break;case 64:case 128:case 256:case 512:case 1024:case 2048:case 4096:case 8192:case 16384:case 32768:case 65536:case 131072:case 262144:case 524288:case 1048576:case 2097152:case 4194304:case 8388608:case 16777216:case 33554432:case 67108864:k=32;break;case 536870912:k=268435456;break;default:k=0}k=k&(w.suspendedLanes|L)?0:k,k!==0&&k!==P.retryLane&&(P.retryLane=k,is(c,k),io(w,c,k,-1))}return X0(),w=S0(Error(l(421))),Pf(c,f,L,w)}return Ls(k)?(f.flags|=128,f.child=c.child,f=xD.bind(null,c),mi(k,f),null):(c=P.treeContext,we&&(oo=Gt(k),Wr=f,ln=!0,Ro=null,au=!1,c!==null&&(no[ro++]=Bs,no[ro++]=Hs,no[ro++]=xl,Bs=c.id,Hs=c.overflow,xl=f)),f=E0(f,w.children),f.flags|=4096,f)}function PC(c,f,v){c.lanes|=f;var w=c.alternate;w!==null&&(w.lanes|=f),a0(c.return,f,v)}function M0(c,f,v,w,k){var P=c.memoizedState;P===null?c.memoizedState={isBackwards:f,rendering:null,renderingStartTime:0,last:w,tail:v,tailMode:k}:(P.isBackwards=f,P.rendering=null,P.renderingStartTime=0,P.last=w,P.tail=v,P.tailMode=k)}function EC(c,f,v){var w=f.pendingProps,k=w.revealOrder,P=w.tail;if(vr(c,f,w.children,v),w=gn.current,w&2)w=w&1|2,f.flags|=128;else{if(c!==null&&c.flags&128)e:for(c=f.child;c!==null;){if(c.tag===13)c.memoizedState!==null&&PC(c,v,f);else if(c.tag===19)PC(c,v,f);else if(c.child!==null){c.child.return=c,c=c.child;continue}if(c===f)break e;for(;c.sibling===null;){if(c.return===null||c.return===f)break e;c=c.return}c.sibling.return=c.return,c=c.sibling}w&=1}if(Mt(gn,w),!(f.mode&1))f.memoizedState=null;else switch(k){case"forwards":for(v=f.child,k=null;v!==null;)c=v.alternate,c!==null&&wf(c)===null&&(k=v),v=v.sibling;v=k,v===null?(k=f.child,f.child=null):(k=v.sibling,v.sibling=null),M0(f,!1,k,v,P);break;case"backwards":for(v=null,k=f.child,f.child=null;k!==null;){if(c=k.alternate,c!==null&&wf(c)===null){f.child=k;break}c=k.sibling,k.sibling=v,v=k,k=c}M0(f,!0,v,null,P);break;case"together":M0(f,!1,null,null,void 0);break;default:f.memoizedState=null}return f.child}function Ef(c,f){!(f.mode&1)&&c!==null&&(c.alternate=null,f.alternate=null,f.flags|=2)}function Ws(c,f,v){if(c!==null&&(f.dependencies=c.dependencies),wl|=f.lanes,!(v&f.childLanes))return null;if(c!==null&&f.child!==c.child)throw Error(l(153));if(f.child!==null){for(c=f.child,v=Aa(c,c.pendingProps),f.child=v,v.return=f;c.sibling!==null;)c=c.sibling,v=v.sibling=Aa(c,c.pendingProps),v.return=f;v.sibling=null}return f.child}function aD(c,f,v){switch(f.tag){case 3:_C(f),yi();break;case 5:G2(f);break;case 1:jr(f.type)&&sf(f);break;case 4:d0(f,f.stateNode.containerInfo);break;case 10:A2(f,f.type._context,f.memoizedProps.value);break;case 13:var w=f.memoizedState;if(w!==null)return w.dehydrated!==null?(Mt(gn,gn.current&1),f.flags|=128,null):v&f.child.childLanes?IC(c,f,v):(Mt(gn,gn.current&1),c=Ws(c,f,v),c!==null?c.sibling:null);Mt(gn,gn.current&1);break;case 19:if(w=(v&f.childLanes)!==0,c.flags&128){if(w)return EC(c,f,v);f.flags|=128}var k=f.memoizedState;if(k!==null&&(k.rendering=null,k.tail=null,k.lastEffect=null),Mt(gn,gn.current),w)break;return null;case 22:case 23:return f.lanes=0,wC(c,f,v)}return Ws(c,f,v)}function ds(c){c.flags|=4}function MC(c,f){if(c!==null&&c.child===f.child)return!0;if(f.flags&16)return!1;for(c=f.child;c!==null;){if(c.flags&12854||c.subtreeFlags&12854)return!1;c=c.sibling}return!0}var mu,hu,Mf,Of;if(de)mu=function(c,f){for(var v=f.child;v!==null;){if(v.tag===5||v.tag===6)re(c,v.stateNode);else if(v.tag!==4&&v.child!==null){v.child.return=v,v=v.child;continue}if(v===f)break;for(;v.sibling===null;){if(v.return===null||v.return===f)return;v=v.return}v.sibling.return=v.return,v=v.sibling}},hu=function(){},Mf=function(c,f,v,w,k){if(c=c.memoizedProps,c!==w){var P=f.stateNode,L=cs(ao.current);v=oe(P,v,c,w,k,L),(f.updateQueue=v)&&ds(f)}},Of=function(c,f,v,w){v!==w&&ds(f)};else if(xe){mu=function(c,f,v,w){for(var k=f.child;k!==null;){if(k.tag===5){var P=k.stateNode;v&&w&&(P=_r(P,k.type,k.memoizedProps,k)),re(c,P)}else if(k.tag===6)P=k.stateNode,v&&w&&(P=Mo(P,k.memoizedProps,k)),re(c,P);else if(k.tag!==4){if(k.tag===22&&k.memoizedState!==null)P=k.child,P!==null&&(P.return=k),mu(c,k,!0,!0);else if(k.child!==null){k.child.return=k,k=k.child;continue}}if(k===f)break;for(;k.sibling===null;){if(k.return===null||k.return===f)return;k=k.return}k.sibling.return=k.return,k=k.sibling}};var OC=function(c,f,v,w){for(var k=f.child;k!==null;){if(k.tag===5){var P=k.stateNode;v&&w&&(P=_r(P,k.type,k.memoizedProps,k)),wn(c,P)}else if(k.tag===6)P=k.stateNode,v&&w&&(P=Mo(P,k.memoizedProps,k)),wn(c,P);else if(k.tag!==4){if(k.tag===22&&k.memoizedState!==null)P=k.child,P!==null&&(P.return=k),OC(c,k,!0,!0);else if(k.child!==null){k.child.return=k,k=k.child;continue}}if(k===f)break;for(;k.sibling===null;){if(k.return===null||k.return===f)return;k=k.return}k.sibling.return=k.return,k=k.sibling}};hu=function(c,f){var v=f.stateNode;if(!MC(c,f)){c=v.containerInfo;var w=Nn(c);OC(w,f,!1,!1),v.pendingChildren=w,ds(f),hn(c,w)}},Mf=function(c,f,v,w,k){var P=c.stateNode,L=c.memoizedProps;if((c=MC(c,f))&&L===w)f.stateNode=P;else{var ne=f.stateNode,pe=cs(ao.current),Ee=null;L!==w&&(Ee=oe(ne,v,L,w,k,pe)),c&&Ee===null?f.stateNode=P:(P=pr(P,Ee,v,L,w,f,c,ne),ae(P,v,w,k,pe)&&ds(f),f.stateNode=P,c?ds(f):mu(P,f,!1,!1))}},Of=function(c,f,v,w){v!==w?(c=cs(ki.current),v=cs(ao.current),f.stateNode=K(w,c,v,f),ds(f)):f.stateNode=c.stateNode}}else hu=function(){},Mf=function(){},Of=function(){};function gu(c,f){if(!ln)switch(c.tailMode){case"hidden":f=c.tail;for(var v=null;f!==null;)f.alternate!==null&&(v=f),f=f.sibling;v===null?c.tail=null:v.sibling=null;break;case"collapsed":v=c.tail;for(var w=null;v!==null;)v.alternate!==null&&(w=v),v=v.sibling;w===null?f||c.tail===null?c.tail=null:c.tail.sibling=null:w.sibling=null}}function or(c){var f=c.alternate!==null&&c.alternate.child===c.child,v=0,w=0;if(f)for(var k=c.child;k!==null;)v|=k.lanes|k.childLanes,w|=k.subtreeFlags&14680064,w|=k.flags&14680064,k.return=c,k=k.sibling;else for(k=c.child;k!==null;)v|=k.lanes|k.childLanes,w|=k.subtreeFlags,w|=k.flags,k.return=c,k=k.sibling;return c.subtreeFlags|=w,c.childLanes=v,f}function lD(c,f,v){var w=f.pendingProps;switch(Jg(f),f.tag){case 2:case 16:case 15:case 0:case 11:case 7:case 8:case 12:case 9:case 14:return or(f),null;case 1:return jr(f.type)&&of(),or(f),null;case 3:return v=f.stateNode,_i(),_t(Rn),_t(rn),m0(),v.pendingContext&&(v.context=v.pendingContext,v.pendingContext=null),(c===null||c.child===null)&&(mf(f)?ds(f):c===null||c.memoizedState.isDehydrated&&!(f.flags&256)||(f.flags|=1024,Ro!==null&&(K0(Ro),Ro=null))),hu(c,f),or(f),null;case 5:f0(f),v=cs(ki.current);var k=f.type;if(c!==null&&f.stateNode!=null)Mf(c,f,k,w,v),c.ref!==f.ref&&(f.flags|=512,f.flags|=2097152);else{if(!w){if(f.stateNode===null)throw Error(l(166));return or(f),null}if(c=cs(ao.current),mf(f)){if(!we)throw Error(l(175));c=Ln(f.stateNode,f.type,f.memoizedProps,v,c,f,!au),f.updateQueue=c,c!==null&&ds(f)}else{var P=Y(k,w,v,c,f);mu(P,f,!1,!1),f.stateNode=P,ae(P,k,w,v,c)&&ds(f)}f.ref!==null&&(f.flags|=512,f.flags|=2097152)}return or(f),null;case 6:if(c&&f.stateNode!=null)Of(c,f,c.memoizedProps,w);else{if(typeof w!="string"&&f.stateNode===null)throw Error(l(166));if(c=cs(ki.current),v=cs(ao.current),mf(f)){if(!we)throw Error(l(176));if(c=f.stateNode,v=f.memoizedProps,(w=kt(c,v,f,!au))&&(k=Wr,k!==null))switch(k.tag){case 3:rf(k.stateNode.containerInfo,c,v,(k.mode&1)!==0);break;case 5:gi(k.type,k.memoizedProps,k.stateNode,c,v,(k.mode&1)!==0)}w&&ds(f)}else f.stateNode=K(w,c,v,f)}return or(f),null;case 13:if(_t(gn),w=f.memoizedState,c===null||c.memoizedState!==null&&c.memoizedState.dehydrated!==null){if(ln&&oo!==null&&f.mode&1&&!(f.flags&128))R2(),yi(),f.flags|=98560,k=!1;else if(k=mf(f),w!==null&&w.dehydrated!==null){if(c===null){if(!k)throw Error(l(318));if(!we)throw Error(l(344));if(k=f.memoizedState,k=k!==null?k.dehydrated:null,!k)throw Error(l(317));ja(k,f)}else yi(),!(f.flags&128)&&(f.memoizedState=null),f.flags|=4;or(f),k=!1}else Ro!==null&&(K0(Ro),Ro=null),k=!0;if(!k)return f.flags&65536?f:null}return f.flags&128?(f.lanes=v,f):(v=w!==null,v!==(c!==null&&c.memoizedState!==null)&&v&&(f.child.flags|=8192,f.mode&1&&(c===null||gn.current&1?Bn===0&&(Bn=3):X0())),f.updateQueue!==null&&(f.flags|=4),or(f),null);case 4:return _i(),hu(c,f),c===null&&fe(f.stateNode.containerInfo),or(f),null;case 10:return s0(f.type._context),or(f),null;case 17:return jr(f.type)&&of(),or(f),null;case 19:if(_t(gn),k=f.memoizedState,k===null)return or(f),null;if(w=(f.flags&128)!==0,P=k.rendering,P===null)if(w)gu(k,!1);else{if(Bn!==0||c!==null&&c.flags&128)for(c=f.child;c!==null;){if(P=wf(c),P!==null){for(f.flags|=128,gu(k,!1),c=P.updateQueue,c!==null&&(f.updateQueue=c,f.flags|=4),f.subtreeFlags=0,c=v,v=f.child;v!==null;)w=v,k=c,w.flags&=14680066,P=w.alternate,P===null?(w.childLanes=0,w.lanes=k,w.child=null,w.subtreeFlags=0,w.memoizedProps=null,w.memoizedState=null,w.updateQueue=null,w.dependencies=null,w.stateNode=null):(w.childLanes=P.childLanes,w.lanes=P.lanes,w.child=P.child,w.subtreeFlags=0,w.deletions=null,w.memoizedProps=P.memoizedProps,w.memoizedState=P.memoizedState,w.updateQueue=P.updateQueue,w.type=P.type,k=P.dependencies,w.dependencies=k===null?null:{lanes:k.lanes,firstContext:k.firstContext}),v=v.sibling;return Mt(gn,gn.current&1|2),f.child}c=c.sibling}k.tail!==null&&Gn()>V0&&(f.flags|=128,w=!0,gu(k,!1),f.lanes=4194304)}else{if(!w)if(c=wf(P),c!==null){if(f.flags|=128,w=!0,c=c.updateQueue,c!==null&&(f.updateQueue=c,f.flags|=4),gu(k,!0),k.tail===null&&k.tailMode==="hidden"&&!P.alternate&&!ln)return or(f),null}else 2*Gn()-k.renderingStartTime>V0&&v!==1073741824&&(f.flags|=128,w=!0,gu(k,!1),f.lanes=4194304);k.isBackwards?(P.sibling=f.child,f.child=P):(c=k.last,c!==null?c.sibling=P:f.child=P,k.last=P)}return k.tail!==null?(f=k.tail,k.rendering=f,k.tail=f.sibling,k.renderingStartTime=Gn(),f.sibling=null,c=gn.current,Mt(gn,w?c&1|2:c&1),f):(or(f),null);case 22:case 23:return q0(),v=f.memoizedState!==null,c!==null&&c.memoizedState!==null!==v&&(f.flags|=8192),v&&f.mode&1?Ur&1073741824&&(or(f),de&&f.subtreeFlags&6&&(f.flags|=8192)):or(f),null;case 24:return null;case 25:return null}throw Error(l(156,f.tag))}function iD(c,f){switch(Jg(f),f.tag){case 1:return jr(f.type)&&of(),c=f.flags,c&65536?(f.flags=c&-65537|128,f):null;case 3:return _i(),_t(Rn),_t(rn),m0(),c=f.flags,c&65536&&!(c&128)?(f.flags=c&-65537|128,f):null;case 5:return f0(f),null;case 13:if(_t(gn),c=f.memoizedState,c!==null&&c.dehydrated!==null){if(f.alternate===null)throw Error(l(340));yi()}return c=f.flags,c&65536?(f.flags=c&-65537|128,f):null;case 19:return _t(gn),null;case 4:return _i(),null;case 10:return s0(f.type._context),null;case 22:case 23:return q0(),null;case 24:return null;default:return null}}var Df=!1,sr=!1,cD=typeof WeakSet=="function"?WeakSet:Set,qe=null;function Ii(c,f){var v=c.ref;if(v!==null)if(typeof v=="function")try{v(null)}catch(w){cn(c,f,w)}else v.current=null}function O0(c,f,v){try{v()}catch(w){cn(c,f,w)}}var DC=!1;function uD(c,f){for(T(c.containerInfo),qe=f;qe!==null;)if(c=qe,f=c.child,(c.subtreeFlags&1028)!==0&&f!==null)f.return=c,qe=f;else for(;qe!==null;){c=qe;try{var v=c.alternate;if(c.flags&1024)switch(c.tag){case 0:case 11:case 15:break;case 1:if(v!==null){var w=v.memoizedProps,k=v.memoizedState,P=c.stateNode,L=P.getSnapshotBeforeUpdate(c.elementType===c.type?w:Ao(c.type,w),k);P.__reactInternalSnapshotBeforeUpdate=L}break;case 3:de&&At(c.stateNode.containerInfo);break;case 5:case 6:case 4:case 17:break;default:throw Error(l(163))}}catch(ne){cn(c,c.return,ne)}if(f=c.sibling,f!==null){f.return=c.return,qe=f;break}qe=c.return}return v=DC,DC=!1,v}function vu(c,f,v){var w=f.updateQueue;if(w=w!==null?w.lastEffect:null,w!==null){var k=w=w.next;do{if((k.tag&c)===c){var P=k.destroy;k.destroy=void 0,P!==void 0&&O0(f,v,P)}k=k.next}while(k!==w)}}function Rf(c,f){if(f=f.updateQueue,f=f!==null?f.lastEffect:null,f!==null){var v=f=f.next;do{if((v.tag&c)===c){var w=v.create;v.destroy=w()}v=v.next}while(v!==f)}}function D0(c){var f=c.ref;if(f!==null){var v=c.stateNode;switch(c.tag){case 5:c=G(v);break;default:c=v}typeof f=="function"?f(c):f.current=c}}function RC(c){var 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+ * @license React
+ * react-reconciler-constants.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */pi.ConcurrentRoot=1;pi.ContinuousEventPriority=4;pi.DefaultEventPriority=16;pi.DiscreteEventPriority=1;pi.IdleEventPriority=536870912;pi.LegacyRoot=0;S7.exports=pi;var k7=S7.exports;const Aj={children:!0,ref:!0,key:!0,style:!0,forwardedRef:!0,unstable_applyCache:!0,unstable_applyDrawHitFromCache:!0};let Tj=!1,$j=!1;const b2=".react-konva-event",kge=`ReactKonva: You have a Konva node with draggable = true and position defined but no onDragMove or onDragEnd events are handled.
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+`,_ge=`ReactKonva: You are using "zIndex" attribute for a Konva node.
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diff --git a/invokeai/frontend/web/dist/assets/MantineProvider-2b56c833.js b/invokeai/frontend/web/dist/assets/MantineProvider-70b4f32d.js
similarity index 99%
rename from invokeai/frontend/web/dist/assets/MantineProvider-2b56c833.js
rename to invokeai/frontend/web/dist/assets/MantineProvider-70b4f32d.js
index 5daf427371..55f1fe838f 100644
--- a/invokeai/frontend/web/dist/assets/MantineProvider-2b56c833.js
+++ b/invokeai/frontend/web/dist/assets/MantineProvider-70b4f32d.js
@@ -1 +1 @@
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diff --git a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-6be4f995.js b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-b6697945.js
similarity index 92%
rename from invokeai/frontend/web/dist/assets/ThemeLocaleProvider-6be4f995.js
rename to invokeai/frontend/web/dist/assets/ThemeLocaleProvider-b6697945.js
index 3d6db01aa7..08e3ce8116 100644
--- a/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-6be4f995.js
+++ b/invokeai/frontend/web/dist/assets/ThemeLocaleProvider-b6697945.js
@@ -1,4 +1,4 @@
-import{v as s,h_ as T,u as l,a1 as I,h$ as R,ad as V,i0 as z,i1 as j,i2 as D,i3 as F,i4 as G,i5 as W,i6 as K,aF as H,i7 as U,i8 as Y}from"./index-a24a7159.js";import{M as Z}from"./MantineProvider-2b56c833.js";var P=String.raw,E=P`
+import{w as s,i2 as T,v as l,a2 as I,i3 as R,ae as V,i4 as z,i5 as j,i6 as D,i7 as F,i8 as G,i9 as W,ia as K,aG as H,ib as U,ic as Y}from"./index-27e8922c.js";import{M as Z}from"./MantineProvider-70b4f32d.js";var P=String.raw,E=P`
:root,
:host {
--chakra-vh: 100vh;
@@ -277,4 +277,4 @@ import{v as s,h_ as T,u as l,a1 as I,h$ as R,ad as V,i0 as z,i1 as j,i2 as D,i3
}
${E}
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diff --git a/invokeai/frontend/web/dist/assets/index-27e8922c.js b/invokeai/frontend/web/dist/assets/index-27e8922c.js
new file mode 100644
index 0000000000..64114559c9
--- /dev/null
+++ b/invokeai/frontend/web/dist/assets/index-27e8922c.js
@@ -0,0 +1,158 @@
+var nQ=Object.defineProperty;var rQ=(e,t,n)=>t in e?nQ(e,t,{enumerable:!0,configurable:!0,writable:!0,value:n}):e[t]=n;var Mw=(e,t,n)=>(rQ(e,typeof t!="symbol"?t+"":t,n),n),$w=(e,t,n)=>{if(!t.has(e))throw TypeError("Cannot "+n)};var ae=(e,t,n)=>($w(e,t,"read from private field"),n?n.call(e):t.get(e)),Yn=(e,t,n)=>{if(t.has(e))throw TypeError("Cannot add the same private member more than once");t instanceof WeakSet?t.add(e):t.set(e,n)},ca=(e,t,n,r)=>($w(e,t,"write to private field"),r?r.call(e,n):t.set(e,n),n);var zp=(e,t,n,r)=>({set _(i){ca(e,t,i,n)},get _(){return ae(e,t,r)}}),_s=(e,t,n)=>($w(e,t,"access private method"),n);function nN(e,t){for(var n=0;n<t.length;n++){const r=t[n];if(typeof r!="string"&&!Array.isArray(r)){for(const i in r)if(i!=="default"&&!(i in e)){const o=Object.getOwnPropertyDescriptor(r,i);o&&Object.defineProperty(e,i,o.get?o:{enumerable:!0,get:()=>r[i]})}}}return Object.freeze(Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}))}(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const i of document.querySelectorAll('link[rel="modulepreload"]'))r(i);new MutationObserver(i=>{for(const o of i)if(o.type==="childList")for(const a of o.addedNodes)a.tagName==="LINK"&&a.rel==="modulepreload"&&r(a)}).observe(document,{childList:!0,subtree:!0});function n(i){const o={};return i.integrity&&(o.integrity=i.integrity),i.referrerPolicy&&(o.referrerPolicy=i.referrerPolicy),i.crossOrigin==="use-credentials"?o.credentials="include":i.crossOrigin==="anonymous"?o.credentials="omit":o.credentials="same-origin",o}function r(i){if(i.ep)return;i.ep=!0;const o=n(i);fetch(i.href,o)}})();var yt=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function Sc(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}function xS(e){if(e.__esModule)return e;var t=e.default;if(typeof t=="function"){var n=function r(){return this instanceof r?Reflect.construct(t,arguments,this.constructor):t.apply(this,arguments)};n.prototype=t.prototype}else n={};return Object.defineProperty(n,"__esModule",{value:!0}),Object.keys(e).forEach(function(r){var i=Object.getOwnPropertyDescriptor(e,r);Object.defineProperty(n,r,i.get?i:{enumerable:!0,get:function(){return e[r]}})}),n}var rN={exports:{}},wS={},iN={exports:{}},Dt={};/**
+ * @license React
+ * react.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
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t.flags&128?(t.lanes=n,t):(r=r!==null,r!==(e!==null&&e.memoizedState!==null)&&r&&(t.child.flags|=8192,t.mode&1&&(e===null||lr.current&1?Qr===0&&(Qr=3):WT())),t.updateQueue!==null&&(t.flags|=4),Fi(t),null);case 4:return Vh(),j3(e,t),e===null&&Am(t.stateNode.containerInfo),Fi(t),null;case 10:return IT(t.type._context),Fi(t),null;case 17:return Io(t.type)&&Rb(),Fi(t),null;case 19:if(Kn(lr),o=t.memoizedState,o===null)return 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Either set keySeparator: false on init or make sure your translations are published in nested format.")}let A=[];const k=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&k&&k[0])for(let L=0;L<k.length;L++)A.push(k[L]);else this.options.saveMissingTo==="all"?A=this.languageUtils.toResolveHierarchy(n.lng||this.language):A.push(n.lng||this.language);const D=(L,M,R)=>{const $=x&&R!==f?R:N;this.options.missingKeyHandler?this.options.missingKeyHandler(L,l,M,$,O,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(L,l,M,$,O,n),this.emit("missingKey",L,l,M,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?A.forEach(L=>{this.pluralResolver.getSuffixes(L,n).forEach(M=>{D([L],a+M,n[`defaultValue${M}`]||E)})}):D(A,a,E))}f=this.extendTranslation(f,t,n,d,r),S&&f===a&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${a}`),(S||v)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${a}`:a,v?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var a=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(a.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):a.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const s=r.postProcess||this.options.postProcess,l=typeof s=="string"?[s]:s;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=HB.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,a,s;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(_=>{this.isValidLookup(r)||(s=_,!yI[`${m[0]}-${_}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(s)&&(yI[`${m[0]}-${_}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${s}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(b=>{if(this.isValidLookup(r))return;a=b;const y=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(y,c,b,_,n);else{let v;f&&(v=this.pluralResolver.getSuffix(b,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(y.push(c+v),n.ordinal&&v.indexOf(w)===0&&y.push(c+v.replace(w,this.options.pluralSeparator)),h&&y.push(c+S)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;y.push(x),f&&(y.push(x+v),n.ordinal&&v.indexOf(w)===0&&y.push(x+v.replace(w,this.options.pluralSeparator)),h&&y.push(x+S))}}let g;for(;g=y.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(b,_,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:a,usedNS:s}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function yC(e){return e.charAt(0).toUpperCase()+e.slice(1)}class vI{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=zs.create("languageUtils")}getScriptPartFromCode(t){if(t=a_(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=a_(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=yC(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=yC(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=yC(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=a=>{a&&(this.isSupportedCode(a)?i.push(a):this.logger.warn(`rejecting language code not found in supportedLngs: ${a}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(a=>{i.indexOf(a)<0&&o(this.formatLanguageCode(a))}),i}}let ase=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],sse={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const lse=["v1","v2","v3"],use=["v4"],bI={zero:0,one:1,two:2,few:3,many:4,other:5};function cse(){const e={};return ase.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:sse[t.fc]}})}),e}class dse{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=zs.create("pluralResolver"),(!this.options.compatibilityJSON||use.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=cse()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(a_(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>bI[i]-bI[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!lse.includes(this.options.compatibilityJSON)}}function _I(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=tse(e,t,n);return!o&&i&&typeof n=="string"&&(o=o_(e,n,r),o===void 0&&(o=o_(t,n,r))),o}class fse{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=zs.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:rse,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?ff(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?ff(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?ff(n.nestingPrefix):n.nestingPrefixEscaped||ff("$t("),this.nestingSuffix=n.nestingSuffix?ff(n.nestingSuffix):n.nestingSuffixEscaped||ff(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const n=`${this.prefix}${this.unescapePrefix}(.+?)${this.unescapeSuffix}${this.suffix}`;this.regexpUnescape=new RegExp(n,"g");const r=`${this.nestingPrefix}(.+?)${this.nestingSuffix}`;this.nestingRegexp=new RegExp(r,"g")}interpolate(t,n,r,i){let o,a,s;const l=this.options&&this.options.interpolation&&this.options.interpolation.defaultVariables||{};function u(p){return p.replace(/\$/g,"$$$$")}const c=p=>{if(p.indexOf(this.formatSeparator)<0){const y=_I(n,l,p,this.options.keySeparator,this.options.ignoreJSONStructure);return this.alwaysFormat?this.format(y,void 0,r,{...i,...n,interpolationkey:p}):y}const m=p.split(this.formatSeparator),_=m.shift().trim(),b=m.join(this.formatSeparator).trim();return this.format(_I(n,l,_,this.options.keySeparator,this.options.ignoreJSONStructure),b,r,{...i,...n,interpolationkey:_})};this.resetRegExp();const d=i&&i.missingInterpolationHandler||this.options.missingInterpolationHandler,f=i&&i.interpolation&&i.interpolation.skipOnVariables!==void 0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:p=>u(p)},{regex:this.regexp,safeValue:p=>this.escapeValue?u(this.escape(p)):u(p)}].forEach(p=>{for(s=0;o=p.regex.exec(t);){const m=o[1].trim();if(a=c(m),a===void 0)if(typeof d=="function"){const b=d(t,o,i);a=typeof b=="string"?b:""}else if(i&&Object.prototype.hasOwnProperty.call(i,m))a="";else if(f){a=o[0];continue}else this.logger.warn(`missed to pass in variable ${m} for interpolating ${t}`),a="";else typeof a!="string"&&!this.useRawValueToEscape&&(a=pI(a));const _=p.safeValue(a);if(t=t.replace(o[0],_),f?(p.regex.lastIndex+=a.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,s++,s>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,a;function s(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${c}[ ]*{`));let f=`{${d[1]}`;l=d[0],f=this.interpolate(f,a);const h=f.match(/'/g),p=f.match(/"/g);(h&&h.length%2===0&&!p||p.length%2!==0)&&(f=f.replace(/'/g,'"'));try{a=JSON.parse(f),u&&(a={...u,...a})}catch(m){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,m),`${l}${c}${f}`}return delete a.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];a={...r},a=a.replace&&typeof a.replace!="string"?a.replace:a,a.applyPostProcessor=!1,delete a.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const c=i[1].split(this.formatSeparator).map(d=>d.trim());i[1]=c.shift(),l=c,u=!0}if(o=n(s.call(this,i[1].trim(),a),a),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=pI(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function hse(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(a=>{if(!a)return;const[s,...l]=a.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[s.trim()]||(n[s.trim()]=u),u==="false"&&(n[s.trim()]=!1),u==="true"&&(n[s.trim()]=!0),isNaN(u)||(n[s.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function hf(e){const t={};return function(r,i,o){const a=i+JSON.stringify(o);let s=t[a];return s||(s=e(a_(i),o),t[a]=s),s(r)}}class pse{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=zs.create("formatter"),this.options=t,this.formats={number:hf((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:hf((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return 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0;if(!t.length)return a(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:a});return}this.readingCalls++;const s=(u,c)=>{if(this.readingCalls--,this.waitingReads.length>0){const d=this.waitingReads.shift();this.read(d.lng,d.ns,d.fcName,d.tried,d.wait,d.callback)}if(u&&c&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,a)},o);return}a(u,c)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(c=>s(null,c)).catch(s):s(null,u)}catch(u){s(u)}return}return l(t,n,s)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. 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You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...a,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>s(null,d)).catch(s):s(null,c)}catch(c){s(c)}else u(t,n,r,i,s,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function SI(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function xI(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function _v(){}function yse(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Gm extends l2{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=xI(t),this.services={},this.logger=zs,this.modules={external:[]},yse(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=SI();this.options={...i,...this.options,...xI(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?zs.init(o(this.modules.logger),this.options):zs.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=pse);const d=new vI(this.options);this.store=new mI(this.options.resources,this.options);const f=this.services;f.logger=zs,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new dse(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new fse(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new mse(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! 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0,this.setResolvedLanguage(l)},a=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},s=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{a(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?s(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(s):this.services.languageDetector.detect(s):s(t),i}getFixedT(t,n,r){var i=this;const o=function(a,s){let l;if(typeof s!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([a,s].concat(c))}else l={...s};l.lng=l.lng||o.lng,l.lngs=l.lngs||o.lngs,l.ns=l.ns||o.ns,l.keyPrefix=l.keyPrefix||r||o.keyPrefix;const f=i.options.keySeparator||".";let h;return l.keyPrefix&&Array.isArray(a)?h=a.map(p=>`${l.keyPrefix}${f}${p}`):h=l.keyPrefix?`${l.keyPrefix}${f}${a}`:a,i.t(h,l)};return typeof t=="string"?o.lng=t:o.lngs=t,o.ns=n,o.keyPrefix=r,o}t(){return this.translator&&this.translator.translate(...arguments)}exists(){return this.translator&&this.translator.exists(...arguments)}setDefaultNamespace(t){this.options.defaultNS=t}hasLoadedNamespace(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(!this.isInitialized)return this.logger.warn("hasLoadedNamespace: i18next was not initialized",this.languages),!1;if(!this.languages||!this.languages.length)return this.logger.warn("hasLoadedNamespace: i18n.languages were undefined or empty",this.languages),!1;const r=n.lng||this.resolvedLanguage||this.languages[0],i=this.options?this.options.fallbackLng:!1,o=this.languages[this.languages.length-1];if(r.toLowerCase()==="cimode")return!0;const a=(s,l)=>{const u=this.services.backendConnector.state[`${s}|${l}`];return u===-1||u===2};if(n.precheck){const s=n.precheck(this,a);if(s!==void 0)return s}return!!(this.hasResourceBundle(r,t)||!this.services.backendConnector.backend||this.options.resources&&!this.options.partialBundledLanguages||a(r,t)&&(!i||a(o,t)))}loadNamespaces(t,n){const r=Xp();return this.options.ns?(typeof t=="string"&&(t=[t]),t.forEach(i=>{this.options.ns.indexOf(i)<0&&this.options.ns.push(i)}),this.loadResources(i=>{r.resolve(),n&&n(i)}),r):(n&&n(),Promise.resolve())}loadLanguages(t,n){const r=Xp();typeof t=="string"&&(t=[t]);const i=this.options.preload||[],o=t.filter(a=>i.indexOf(a)<0);return o.length?(this.options.preload=i.concat(o),this.loadResources(a=>{r.resolve(),n&&n(a)}),r):(n&&n(),Promise.resolve())}dir(t){if(t||(t=this.resolvedLanguage||(this.languages&&this.languages.length>0?this.languages[0]:this.language)),!t)return"rtl";const n=["ar","shu","sqr","ssh","xaa","yhd","yud","aao","abh","abv","acm","acq","acw","acx","acy","adf","ads","aeb","aec","afb","ajp","apc","apd","arb","arq","ars","ary","arz","auz","avl","ayh","ayl","ayn","ayp","bbz","pga","he","iw","ps","pbt","pbu","pst","prp","prd","ug","ur","ydd","yds","yih","ji","yi","hbo","men","xmn","fa","jpr","peo","pes","prs","dv","sam","ckb"],r=this.services&&this.services.languageUtils||new vI(SI());return n.indexOf(r.getLanguagePartFromCode(t))>-1||t.toLowerCase().indexOf("-arab")>1?"rtl":"ltr"}static createInstance(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;return new Gm(t,n)}cloneInstance(){let t=arguments.length>0&&arguments[0]!==void 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me.t("controlnet.openPoseDescription")},default:{id:"openpose_image_processor",type:"openpose_image_processor",detect_resolution:512,image_resolution:512,hand_and_face:!1}},pidi_image_processor:{type:"pidi_image_processor",get label(){return me.t("controlnet.pidi")},get description(){return me.t("controlnet.pidiDescription")},default:{id:"pidi_image_processor",type:"pidi_image_processor",detect_resolution:512,image_resolution:512,scribble:!1,safe:!1}},zoe_depth_image_processor:{type:"zoe_depth_image_processor",get label(){return me.t("controlnet.depthZoe")},get description(){return 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input";break;case he.custom:n="Invalid input";break;case he.invalid_intersection_types:n="Intersection results could not be merged";break;case he.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case he.not_finite:n="Number must be finite";break;default:n=t.defaultError,Yt.assertNever(e)}return{message:n}};let YB=qm;function Dse(e){YB=e}function l_(){return YB}const u_=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],a={...i,path:o};let s="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)s=u(a,{data:t,defaultError:s}).message;return{...i,path:o,message:i.message||s}},Lse=[];function $e(e,t){const n=u_({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,l_(),qm].filter(r=>!!r)});e.common.issues.push(n)}class Ki{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return vt;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Ki.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:a}=i;if(o.status==="aborted"||a.status==="aborted")return vt;o.status==="dirty"&&t.dirty(),a.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof a.value<"u"||i.alwaysSet)&&(r[o.value]=a.value)}return{status:t.value,value:r}}}const vt=Object.freeze({status:"aborted"}),ZB=e=>({status:"dirty",value:e}),co=e=>({status:"valid",value:e}),mA=e=>e.status==="aborted",yA=e=>e.status==="dirty",Hm=e=>e.status==="valid",c_=e=>typeof Promise<"u"&&e instanceof Promise;var rt;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(rt||(rt={}));class tl{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const EI=(e,t)=>{if(Hm(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new ls(e.common.issues);return this._error=n,this._error}}};function xt(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(a,s)=>a.code!=="invalid_type"?{message:s.defaultError}:typeof s.data>"u"?{message:r??s.defaultError}:{message:n??s.defaultError},description:i}}class At{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return Ru(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:Ru(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Ki,ctx:{common:t.parent.common,data:t.data,parsedType:Ru(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(c_(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Ru(t)},o=this._parseSync({data:t,path:i.path,parent:i});return EI(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Ru(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(c_(i)?i:Promise.resolve(i));return EI(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const a=t(i),s=()=>o.addIssue({code:he.custom,...r(i)});return typeof Promise<"u"&&a instanceof Promise?a.then(l=>l?!0:(s(),!1)):a?!0:(s(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new hs({schema:this,typeName:lt.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return Bl.create(this,this._def)}nullable(){return Dd.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return us.create(this,this._def)}promise(){return Zh.create(this,this._def)}or(t){return Xm.create([this,t],this._def)}and(t){return Ym.create(this,t,this._def)}transform(t){return new hs({...xt(this._def),schema:this,typeName:lt.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new n0({...xt(this._def),innerType:this,defaultValue:n,typeName:lt.ZodDefault})}brand(){return new ez({typeName:lt.ZodBranded,type:this,...xt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new p_({...xt(this._def),innerType:this,catchValue:n,typeName:lt.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return vy.create(this,t)}readonly(){return m_.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const Fse=/^c[^\s-]{8,}$/i,Bse=/^[a-z][a-z0-9]*$/,zse=/[0-9A-HJKMNP-TV-Z]{26}/,jse=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,Use=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,Vse=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,Gse=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,qse=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,Hse=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Wse(e,t){return!!((t==="v4"||!t)&&Gse.test(e)||(t==="v6"||!t)&&qse.test(e))}class rs extends At{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:he.invalid_string,...rt.errToObj(r)}),this.nonempty=t=>this.min(1,rt.errToObj(t)),this.trim=()=>new rs({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new rs({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new rs({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==Oe.string){const o=this._getOrReturnCtx(t);return $e(o,{code:he.invalid_type,expected:Oe.string,received:o.parsedType}),vt}const r=new Ki;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),$e(i,{code:he.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),$e(i,{code:he.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const a=t.data.length>o.value,s=t.data.length<o.value;(a||s)&&(i=this._getOrReturnCtx(t,i),a?$e(i,{code:he.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):s&&$e(i,{code:he.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")Use.test(t.data)||(i=this._getOrReturnCtx(t,i),$e(i,{validation:"email",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")Vse.test(t.data)||(i=this._getOrReturnCtx(t,i),$e(i,{validation:"emoji",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")jse.test(t.data)||(i=this._getOrReturnCtx(t,i),$e(i,{validation:"uuid",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")Fse.test(t.data)||(i=this._getOrReturnCtx(t,i),$e(i,{validation:"cuid",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")Bse.test(t.data)||(i=this._getOrReturnCtx(t,i),$e(i,{validation:"cuid2",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")zse.test(t.data)||(i=this._getOrReturnCtx(t,i),$e(i,{validation:"ulid",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),$e(i,{validation:"url",code:he.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),$e(i,{validation:"regex",code:he.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),$e(i,{code:he.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),$e(i,{code:he.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),$e(i,{code:he.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?Hse(o).test(t.data)||(i=this._getOrReturnCtx(t,i),$e(i,{code:he.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Wse(t.data,o.version)||(i=this._getOrReturnCtx(t,i),$e(i,{validation:"ip",code:he.invalid_string,message:o.message}),r.dirty()):Yt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new rs({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...rt.errToObj(t)})}url(t){return this._addCheck({kind:"url",...rt.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...rt.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...rt.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...rt.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...rt.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...rt.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...rt.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...rt.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...rt.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...rt.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...rt.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...rt.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...rt.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...rt.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...rt.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}rs.create=e=>{var t;return new rs({checks:[],typeName:lt.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...xt(e)})};function Kse(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),a=parseInt(t.toFixed(i).replace(".",""));return o%a/Math.pow(10,i)}class cc extends At{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==Oe.number){const o=this._getOrReturnCtx(t);return $e(o,{code:he.invalid_type,expected:Oe.number,received:o.parsedType}),vt}let r;const i=new Ki;for(const o of this._def.checks)o.kind==="int"?Yt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),$e(r,{code:he.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),$e(r,{code:he.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),$e(r,{code:he.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?Kse(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),$e(r,{code:he.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),$e(r,{code:he.not_finite,message:o.message}),i.dirty()):Yt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,rt.toString(n))}gt(t,n){return this.setLimit("min",t,!1,rt.toString(n))}lte(t,n){return this.setLimit("max",t,!0,rt.toString(n))}lt(t,n){return this.setLimit("max",t,!1,rt.toString(n))}setLimit(t,n,r,i){return new cc({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:rt.toString(i)}]})}_addCheck(t){return new cc({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:rt.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:rt.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:rt.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:rt.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:rt.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:rt.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:rt.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:rt.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:rt.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Yt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}cc.create=e=>new cc({checks:[],typeName:lt.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...xt(e)});class dc extends At{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==Oe.bigint){const o=this._getOrReturnCtx(t);return $e(o,{code:he.invalid_type,expected:Oe.bigint,received:o.parsedType}),vt}let r;const i=new Ki;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),$e(r,{code:he.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),$e(r,{code:he.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),$e(r,{code:he.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Yt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,rt.toString(n))}gt(t,n){return this.setLimit("min",t,!1,rt.toString(n))}lte(t,n){return this.setLimit("max",t,!0,rt.toString(n))}lt(t,n){return this.setLimit("max",t,!1,rt.toString(n))}setLimit(t,n,r,i){return new dc({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:rt.toString(i)}]})}_addCheck(t){return new dc({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:rt.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:rt.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:rt.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:rt.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:rt.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}dc.create=e=>{var t;return new dc({checks:[],typeName:lt.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...xt(e)})};class Wm extends At{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==Oe.boolean){const r=this._getOrReturnCtx(t);return $e(r,{code:he.invalid_type,expected:Oe.boolean,received:r.parsedType}),vt}return co(t.data)}}Wm.create=e=>new Wm({typeName:lt.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...xt(e)});class $d extends At{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==Oe.date){const o=this._getOrReturnCtx(t);return $e(o,{code:he.invalid_type,expected:Oe.date,received:o.parsedType}),vt}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return $e(o,{code:he.invalid_date}),vt}const r=new Ki;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),$e(i,{code:he.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),$e(i,{code:he.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Yt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new $d({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:rt.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:rt.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}$d.create=e=>new $d({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:lt.ZodDate,...xt(e)});class d_ extends At{_parse(t){if(this._getType(t)!==Oe.symbol){const r=this._getOrReturnCtx(t);return $e(r,{code:he.invalid_type,expected:Oe.symbol,received:r.parsedType}),vt}return co(t.data)}}d_.create=e=>new d_({typeName:lt.ZodSymbol,...xt(e)});class Km extends At{_parse(t){if(this._getType(t)!==Oe.undefined){const r=this._getOrReturnCtx(t);return $e(r,{code:he.invalid_type,expected:Oe.undefined,received:r.parsedType}),vt}return co(t.data)}}Km.create=e=>new Km({typeName:lt.ZodUndefined,...xt(e)});class Qm extends At{_parse(t){if(this._getType(t)!==Oe.null){const r=this._getOrReturnCtx(t);return $e(r,{code:he.invalid_type,expected:Oe.null,received:r.parsedType}),vt}return co(t.data)}}Qm.create=e=>new Qm({typeName:lt.ZodNull,...xt(e)});class Yh extends At{constructor(){super(...arguments),this._any=!0}_parse(t){return co(t.data)}}Yh.create=e=>new Yh({typeName:lt.ZodAny,...xt(e)});class _d extends At{constructor(){super(...arguments),this._unknown=!0}_parse(t){return co(t.data)}}_d.create=e=>new _d({typeName:lt.ZodUnknown,...xt(e)});class Yl extends At{_parse(t){const n=this._getOrReturnCtx(t);return $e(n,{code:he.invalid_type,expected:Oe.never,received:n.parsedType}),vt}}Yl.create=e=>new Yl({typeName:lt.ZodNever,...xt(e)});class f_ extends At{_parse(t){if(this._getType(t)!==Oe.undefined){const r=this._getOrReturnCtx(t);return $e(r,{code:he.invalid_type,expected:Oe.void,received:r.parsedType}),vt}return co(t.data)}}f_.create=e=>new f_({typeName:lt.ZodVoid,...xt(e)});class us extends At{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==Oe.array)return $e(n,{code:he.invalid_type,expected:Oe.array,received:n.parsedType}),vt;if(i.exactLength!==null){const a=n.data.length>i.exactLength.value,s=n.data.length<i.exactLength.value;(a||s)&&($e(n,{code:a?he.too_big:he.too_small,minimum:s?i.exactLength.value:void 0,maximum:a?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&($e(n,{code:he.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&($e(n,{code:he.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((a,s)=>i.type._parseAsync(new tl(n,a,n.path,s)))).then(a=>Ki.mergeArray(r,a));const o=[...n.data].map((a,s)=>i.type._parseSync(new tl(n,a,n.path,s)));return Ki.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new us({...this._def,minLength:{value:t,message:rt.toString(n)}})}max(t,n){return new us({...this._def,maxLength:{value:t,message:rt.toString(n)}})}length(t,n){return new us({...this._def,exactLength:{value:t,message:rt.toString(n)}})}nonempty(t){return this.min(1,t)}}us.create=(e,t)=>new us({type:e,minLength:null,maxLength:null,exactLength:null,typeName:lt.ZodArray,...xt(t)});function If(e){if(e instanceof sr){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=Bl.create(If(r))}return new sr({...e._def,shape:()=>t})}else return e instanceof us?new us({...e._def,type:If(e.element)}):e instanceof Bl?Bl.create(If(e.unwrap())):e instanceof Dd?Dd.create(If(e.unwrap())):e instanceof nl?nl.create(e.items.map(t=>If(t))):e}class sr extends At{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Yt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==Oe.object){const u=this._getOrReturnCtx(t);return $e(u,{code:he.invalid_type,expected:Oe.object,received:u.parsedType}),vt}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:a}=this._getCached(),s=[];if(!(this._def.catchall instanceof Yl&&this._def.unknownKeys==="strip"))for(const u in i.data)a.includes(u)||s.push(u);const l=[];for(const u of a){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new tl(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Yl){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of s)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")s.length>0&&($e(i,{code:he.unrecognized_keys,keys:s}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of s){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new tl(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>Ki.mergeObjectSync(r,u)):Ki.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return rt.errToObj,new sr({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,a,s;const l=(a=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&a!==void 0?a:r.defaultError;return n.code==="unrecognized_keys"?{message:(s=rt.errToObj(t).message)!==null&&s!==void 0?s:l}:{message:l}}}:{}})}strip(){return new sr({...this._def,unknownKeys:"strip"})}passthrough(){return new sr({...this._def,unknownKeys:"passthrough"})}extend(t){return new sr({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new sr({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:lt.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new sr({...this._def,catchall:t})}pick(t){const n={};return Yt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new sr({...this._def,shape:()=>n})}omit(t){const n={};return Yt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new sr({...this._def,shape:()=>n})}deepPartial(){return If(this)}partial(t){const n={};return Yt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new sr({...this._def,shape:()=>n})}required(t){const n={};return Yt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof Bl;)o=o._def.innerType;n[r]=o}}),new sr({...this._def,shape:()=>n})}keyof(){return JB(Yt.objectKeys(this.shape))}}sr.create=(e,t)=>new sr({shape:()=>e,unknownKeys:"strip",catchall:Yl.create(),typeName:lt.ZodObject,...xt(t)});sr.strictCreate=(e,t)=>new sr({shape:()=>e,unknownKeys:"strict",catchall:Yl.create(),typeName:lt.ZodObject,...xt(t)});sr.lazycreate=(e,t)=>new sr({shape:e,unknownKeys:"strip",catchall:Yl.create(),typeName:lt.ZodObject,...xt(t)});class Xm extends At{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const s of o)if(s.result.status==="valid")return s.result;for(const s of o)if(s.result.status==="dirty")return n.common.issues.push(...s.ctx.common.issues),s.result;const a=o.map(s=>new ls(s.ctx.common.issues));return $e(n,{code:he.invalid_union,unionErrors:a}),vt}if(n.common.async)return Promise.all(r.map(async o=>{const a={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:a}),ctx:a}})).then(i);{let o;const a=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&a.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const s=a.map(l=>new ls(l));return $e(n,{code:he.invalid_union,unionErrors:s}),vt}}get options(){return this._def.options}}Xm.create=(e,t)=>new Xm({options:e,typeName:lt.ZodUnion,...xt(t)});const G1=e=>e instanceof Jm?G1(e.schema):e instanceof hs?G1(e.innerType()):e instanceof e0?[e.value]:e instanceof fc?e.options:e instanceof t0?Object.keys(e.enum):e instanceof n0?G1(e._def.innerType):e instanceof Km?[void 0]:e instanceof Qm?[null]:null;class c2 extends At{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Oe.object)return $e(n,{code:he.invalid_type,expected:Oe.object,received:n.parsedType}),vt;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):($e(n,{code:he.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),vt)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const a=G1(o.shape[t]);if(!a)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const s of a){if(i.has(s))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(s)}`);i.set(s,o)}}return new c2({typeName:lt.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...xt(r)})}}function vA(e,t){const n=Ru(e),r=Ru(t);if(e===t)return{valid:!0,data:e};if(n===Oe.object&&r===Oe.object){const i=Yt.objectKeys(t),o=Yt.objectKeys(e).filter(s=>i.indexOf(s)!==-1),a={...e,...t};for(const s of o){const l=vA(e[s],t[s]);if(!l.valid)return{valid:!1};a[s]=l.data}return{valid:!0,data:a}}else if(n===Oe.array&&r===Oe.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const a=e[o],s=t[o],l=vA(a,s);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===Oe.date&&r===Oe.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class Ym extends At{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,a)=>{if(mA(o)||mA(a))return vt;const s=vA(o.value,a.value);return s.valid?((yA(o)||yA(a))&&n.dirty(),{status:n.value,value:s.data}):($e(r,{code:he.invalid_intersection_types}),vt)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,a])=>i(o,a)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}Ym.create=(e,t,n)=>new Ym({left:e,right:t,typeName:lt.ZodIntersection,...xt(n)});class nl extends At{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Oe.array)return $e(r,{code:he.invalid_type,expected:Oe.array,received:r.parsedType}),vt;if(r.data.length<this._def.items.length)return $e(r,{code:he.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),vt;!this._def.rest&&r.data.length>this._def.items.length&&($e(r,{code:he.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((a,s)=>{const l=this._def.items[s]||this._def.rest;return l?l._parse(new tl(r,a,r.path,s)):null}).filter(a=>!!a);return r.common.async?Promise.all(o).then(a=>Ki.mergeArray(n,a)):Ki.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new nl({...this._def,rest:t})}}nl.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new nl({items:e,typeName:lt.ZodTuple,rest:null,...xt(t)})};class Zm extends At{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Oe.object)return $e(r,{code:he.invalid_type,expected:Oe.object,received:r.parsedType}),vt;const i=[],o=this._def.keyType,a=this._def.valueType;for(const s in r.data)i.push({key:o._parse(new tl(r,s,r.path,s)),value:a._parse(new tl(r,r.data[s],r.path,s))});return r.common.async?Ki.mergeObjectAsync(n,i):Ki.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof At?new Zm({keyType:t,valueType:n,typeName:lt.ZodRecord,...xt(r)}):new Zm({keyType:rs.create(),valueType:t,typeName:lt.ZodRecord,...xt(n)})}}class h_ extends At{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Oe.map)return $e(r,{code:he.invalid_type,expected:Oe.map,received:r.parsedType}),vt;const i=this._def.keyType,o=this._def.valueType,a=[...r.data.entries()].map(([s,l],u)=>({key:i._parse(new tl(r,s,r.path,[u,"key"])),value:o._parse(new tl(r,l,r.path,[u,"value"]))}));if(r.common.async){const s=new Map;return Promise.resolve().then(async()=>{for(const l of a){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return vt;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),s.set(u.value,c.value)}return{status:n.value,value:s}})}else{const s=new Map;for(const l of a){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return vt;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),s.set(u.value,c.value)}return{status:n.value,value:s}}}}h_.create=(e,t,n)=>new h_({valueType:t,keyType:e,typeName:lt.ZodMap,...xt(n)});class Nd extends At{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Oe.set)return $e(r,{code:he.invalid_type,expected:Oe.set,received:r.parsedType}),vt;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&($e(r,{code:he.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&($e(r,{code:he.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function a(l){const u=new Set;for(const c of l){if(c.status==="aborted")return vt;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const s=[...r.data.values()].map((l,u)=>o._parse(new tl(r,l,r.path,u)));return r.common.async?Promise.all(s).then(l=>a(l)):a(s)}min(t,n){return new Nd({...this._def,minSize:{value:t,message:rt.toString(n)}})}max(t,n){return new Nd({...this._def,maxSize:{value:t,message:rt.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Nd.create=(e,t)=>new Nd({valueType:e,minSize:null,maxSize:null,typeName:lt.ZodSet,...xt(t)});class vh extends At{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Oe.function)return $e(n,{code:he.invalid_type,expected:Oe.function,received:n.parsedType}),vt;function r(s,l){return u_({data:s,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,l_(),qm].filter(u=>!!u),issueData:{code:he.invalid_arguments,argumentsError:l}})}function i(s,l){return u_({data:s,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,l_(),qm].filter(u=>!!u),issueData:{code:he.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},a=n.data;if(this._def.returns instanceof Zh){const s=this;return co(async function(...l){const u=new ls([]),c=await s._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(a,this,c);return await s._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const s=this;return co(function(...l){const u=s._def.args.safeParse(l,o);if(!u.success)throw new ls([r(l,u.error)]);const c=Reflect.apply(a,this,u.data),d=s._def.returns.safeParse(c,o);if(!d.success)throw new ls([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new vh({...this._def,args:nl.create(t).rest(_d.create())})}returns(t){return new vh({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new vh({args:t||nl.create([]).rest(_d.create()),returns:n||_d.create(),typeName:lt.ZodFunction,...xt(r)})}}class Jm extends At{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}Jm.create=(e,t)=>new Jm({getter:e,typeName:lt.ZodLazy,...xt(t)});class e0 extends At{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return $e(n,{received:n.data,code:he.invalid_literal,expected:this._def.value}),vt}return{status:"valid",value:t.data}}get value(){return this._def.value}}e0.create=(e,t)=>new e0({value:e,typeName:lt.ZodLiteral,...xt(t)});function JB(e,t){return new fc({values:e,typeName:lt.ZodEnum,...xt(t)})}class fc extends At{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return $e(n,{expected:Yt.joinValues(r),received:n.parsedType,code:he.invalid_type}),vt}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return $e(n,{received:n.data,code:he.invalid_enum_value,options:r}),vt}return co(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return fc.create(t)}exclude(t){return fc.create(this.options.filter(n=>!t.includes(n)))}}fc.create=JB;class t0 extends At{_parse(t){const n=Yt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==Oe.string&&r.parsedType!==Oe.number){const i=Yt.objectValues(n);return $e(r,{expected:Yt.joinValues(i),received:r.parsedType,code:he.invalid_type}),vt}if(n.indexOf(t.data)===-1){const i=Yt.objectValues(n);return $e(r,{received:r.data,code:he.invalid_enum_value,options:i}),vt}return co(t.data)}get enum(){return this._def.values}}t0.create=(e,t)=>new t0({values:e,typeName:lt.ZodNativeEnum,...xt(t)});class Zh extends At{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Oe.promise&&n.common.async===!1)return $e(n,{code:he.invalid_type,expected:Oe.promise,received:n.parsedType}),vt;const r=n.parsedType===Oe.promise?n.data:Promise.resolve(n.data);return co(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Zh.create=(e,t)=>new Zh({type:e,typeName:lt.ZodPromise,...xt(t)});class hs extends At{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===lt.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:a=>{$e(r,a),a.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const a=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(a).then(s=>this._def.schema._parseAsync({data:s,path:r.path,parent:r})):this._def.schema._parseSync({data:a,path:r.path,parent:r})}if(i.type==="refinement"){const a=s=>{const l=i.refinement(s,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return s};if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return s.status==="aborted"?vt:(s.status==="dirty"&&n.dirty(),a(s.value),{status:n.value,value:s.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>s.status==="aborted"?vt:(s.status==="dirty"&&n.dirty(),a(s.value).then(()=>({status:n.value,value:s.value}))))}if(i.type==="transform")if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!Hm(a))return a;const s=i.transform(a.value,o);if(s instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:s}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>Hm(a)?Promise.resolve(i.transform(a.value,o)).then(s=>({status:n.value,value:s})):a);Yt.assertNever(i)}}hs.create=(e,t,n)=>new hs({schema:e,typeName:lt.ZodEffects,effect:t,...xt(n)});hs.createWithPreprocess=(e,t,n)=>new hs({schema:t,effect:{type:"preprocess",transform:e},typeName:lt.ZodEffects,...xt(n)});class Bl extends At{_parse(t){return this._getType(t)===Oe.undefined?co(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Bl.create=(e,t)=>new Bl({innerType:e,typeName:lt.ZodOptional,...xt(t)});class Dd extends At{_parse(t){return this._getType(t)===Oe.null?co(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Dd.create=(e,t)=>new Dd({innerType:e,typeName:lt.ZodNullable,...xt(t)});class n0 extends At{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===Oe.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}n0.create=(e,t)=>new n0({innerType:e,typeName:lt.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...xt(t)});class p_ extends At{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return c_(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new ls(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new ls(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}p_.create=(e,t)=>new p_({innerType:e,typeName:lt.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...xt(t)});class g_ extends At{_parse(t){if(this._getType(t)!==Oe.nan){const r=this._getOrReturnCtx(t);return $e(r,{code:he.invalid_type,expected:Oe.nan,received:r.parsedType}),vt}return{status:"valid",value:t.data}}}g_.create=e=>new g_({typeName:lt.ZodNaN,...xt(e)});const Qse=Symbol("zod_brand");class ez extends At{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class vy extends At{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?vt:o.status==="dirty"?(n.dirty(),ZB(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?vt:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new vy({in:t,out:n,typeName:lt.ZodPipeline})}}class m_ extends At{_parse(t){const n=this._def.innerType._parse(t);return Hm(n)&&(n.value=Object.freeze(n.value)),n}}m_.create=(e,t)=>new m_({innerType:e,typeName:lt.ZodReadonly,...xt(t)});const tz=(e,t={},n)=>e?Yh.create().superRefine((r,i)=>{var o,a;if(!e(r)){const s=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(a=(o=s.fatal)!==null&&o!==void 0?o:n)!==null&&a!==void 0?a:!0,u=typeof s=="string"?{message:s}:s;i.addIssue({code:"custom",...u,fatal:l})}}):Yh.create(),Xse={object:sr.lazycreate};var lt;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(lt||(lt={}));const Yse=(e,t={message:`Input not instance of ${e.name}`})=>tz(n=>n 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z=Object.freeze({__proto__:null,defaultErrorMap:qm,setErrorMap:Dse,getErrorMap:l_,makeIssue:u_,EMPTY_PATH:Lse,addIssueToContext:$e,ParseStatus:Ki,INVALID:vt,DIRTY:ZB,OK:co,isAborted:mA,isDirty:yA,isValid:Hm,isAsync:c_,get util(){return Yt},get objectUtil(){return gA},ZodParsedType:Oe,getParsedType:Ru,ZodType:At,ZodString:rs,ZodNumber:cc,ZodBigInt:dc,ZodBoolean:Wm,ZodDate:$d,ZodSymbol:d_,ZodUndefined:Km,ZodNull:Qm,ZodAny:Yh,ZodUnknown:_d,ZodNever:Yl,ZodVoid:f_,ZodArray:us,ZodObject:sr,ZodUnion:Xm,ZodDiscriminatedUnion:c2,ZodIntersection:Ym,ZodTuple:nl,ZodRecord:Zm,ZodMap:h_,ZodSet:Nd,ZodFunction:vh,ZodLazy:Jm,ZodLiteral:e0,ZodEnum:fc,ZodNativeEnum:t0,ZodPromise:Zh,ZodEffects:hs,ZodTransformer:hs,ZodOptional:Bl,ZodNullable:Dd,ZodDefault:n0,ZodCatch:p_,ZodNaN:g_,BRAND:Qse,ZodBranded:ez,ZodPipeline:vy,ZodReadonly:m_,custom:tz,Schema:At,ZodSchema:At,late:Xse,get ZodFirstPartyTypeKind(){return lt},coerce:Rle,any:ile,array:lle,bigint:Jse,boolean:iz,date:ele,discriminatedUnion:fle,effect:TI,enum:Sle,function:vle,instanceof:Yse,intersection:hle,lazy:ble,literal:_le,map:mle,nan:Zse,nativeEnum:xle,never:ale,null:rle,nullable:Ale,number:rz,object:ule,oboolean:Ile,onumber:Ple,optional:Cle,ostring:kle,pipeline:Tle,preprocess:Ele,promise:wle,record:gle,set:yle,strictObject:cle,string:nz,symbol:tle,transformer:TI,tuple:ple,undefined:nle,union:dle,unknown:ole,void:sle,NEVER:Ole,ZodIssueCode:he,quotelessJson:Nse,ZodError:ls});const Mle=z.string(),jUe=e=>Mle.safeParse(e).success,$le=z.string(),UUe=e=>$le.safeParse(e).success,Nle=z.string(),VUe=e=>Nle.safeParse(e).success,Dle=z.string(),GUe=e=>Dle.safeParse(e).success,Lle=z.number().int().min(1),qUe=e=>Lle.safeParse(e).success,Fle=z.number().min(1),HUe=e=>Fle.safeParse(e).success,oz=z.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),WUe=e=>oz.safeParse(e).success,KUe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler 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Ancestral"},Ble=z.number().int().min(0).max(Jg),QUe=e=>Ble.safeParse(e).success,zle=z.number().multipleOf(8).min(64),XUe=e=>zle.safeParse(e).success,jle=z.number().multipleOf(8).min(64),YUe=e=>jle.safeParse(e).success,kc=z.enum(["any","sd-1","sd-2","sdxl","sdxl-refiner"]),d2=z.object({model_name:z.string().min(1),base_model:kc,model_type:z.literal("main")}),ZUe=e=>d2.safeParse(e).success,Bk=z.object({model_name:z.string().min(1),base_model:z.literal("sdxl-refiner"),model_type:z.literal("main")}),JUe=e=>Bk.safeParse(e).success,az=z.object({model_name:z.string().min(1),base_model:kc,model_type:z.literal("onnx")}),by=z.union([d2,az]),Ule=z.object({model_name:z.string().min(1),base_model:kc}),Vle=z.object({model_name:z.string().min(1),base_model:kc}),eVe=e=>Vle.safeParse(e).success,Gle=z.object({model_name:z.string().min(1),base_model:kc}),tVe=e=>Gle.safeParse(e).success,qle=z.object({model_name:z.string().min(1),base_model:kc}),Hle=z.object({model_name:z.string().min(1),base_model:kc}),nVe=e=>Hle.safeParse(e).success,rVe=e=>qle.safeParse(e).success,Wle=z.number().min(0).max(1),iVe=e=>Wle.safeParse(e).success;z.enum(["fp16","fp32"]);const Kle=z.number().min(1).max(10),oVe=e=>Kle.safeParse(e).success,Qle=z.number().min(1).max(10),aVe=e=>Qle.safeParse(e).success,Xle=z.number().min(0).max(1),sVe=e=>Xle.safeParse(e).success;z.enum(["box","gaussian"]);z.enum(["unmasked","mask","edge"]);const zk={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceMode:"unmasked",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,steps:50,threshold:0,infillTileSize:32,infillPatchmatchDownscaleSize:1,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},Yle=zk,sz=nr({name:"generation",initialState:Yle,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=Bu(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=Bu(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...zk}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 0},setMaskBlur:(e,t)=>{e.maskBlur=t.payload},setMaskBlurMethod:(e,t)=>{e.maskBlurMethod=t.payload},setCanvasCoherenceMode:(e,t)=>{e.canvasCoherenceMode=t.payload},setCanvasCoherenceSteps:(e,t)=>{e.canvasCoherenceSteps=t.payload},setCanvasCoherenceStrength:(e,t)=>{e.canvasCoherenceStrength=t.payload},setInfillMethod:(e,t)=>{e.infillMethod=t.payload},setInfillTileSize:(e,t)=>{e.infillTileSize=t.payload},setInfillPatchmatchDownscaleSize:(e,t)=>{e.infillPatchmatchDownscaleSize=t.payload},setShouldUseSymmetry:(e,t)=>{e.shouldUseSymmetry=t.payload},setHorizontalSymmetrySteps:(e,t)=>{e.horizontalSymmetrySteps=t.payload},setVerticalSymmetrySteps:(e,t)=>{e.verticalSymmetrySteps=t.payload},initialImageChanged:(e,t)=>{const{image_name:n,width:r,height:i}=t.payload;e.initialImage={imageName:n,width:r,height:i}},modelChanged:(e,t)=>{if(e.model=t.payload,e.model===null)return;const{maxClip:n}=Mse[e.model.base_model];e.clipSkip=Bu(e.clipSkip,0,n)},vaeSelected:(e,t)=>{e.vae=t.payload},vaePrecisionChanged:(e,t)=>{e.vaePrecision=t.payload},setClipSkip:(e,t)=>{e.clipSkip=t.payload},shouldUseCpuNoiseChanged:(e,t)=>{e.shouldUseCpuNoise=t.payload},setAspectRatio:(e,t)=>{const n=t.payload;e.aspectRatio=n,n&&(e.height=Ho(e.width/n,8))},setShouldLockAspectRatio:(e,t)=>{e.shouldLockAspectRatio=t.payload}},extraReducers:e=>{e.addCase(Uae,(t,n)=>{var i;const r=(i=n.payload.sd)==null?void 0:i.defaultModel;if(r&&!t.model){const[o,a,s]=r.split("/"),l=d2.safeParse({model_name:s,base_model:o,model_type:a});l.success&&(t.model=l.data)}}),e.addMatcher(Ose,(t,n)=>{n.payload.type==="t2i_adapter"&&(t.width=Ho(t.width,64),t.height=Ho(t.height,64))})}}),{clampSymmetrySteps:lVe,clearInitialImage:jk,resetParametersState:uVe,resetSeed:cVe,setCfgScale:dVe,setWidth:kI,setHeight:PI,toggleSize:fVe,setImg2imgStrength:hVe,setInfillMethod:Zle,setIterations:pVe,setPerlin:gVe,setPositivePrompt:Jle,setNegativePrompt:mVe,setScheduler:yVe,setMaskBlur:vVe,setMaskBlurMethod:bVe,setCanvasCoherenceMode:_Ve,setCanvasCoherenceSteps:SVe,setCanvasCoherenceStrength:xVe,setSeed:wVe,setSeedWeights:CVe,setShouldFitToWidthHeight:AVe,setShouldGenerateVariations:EVe,setShouldRandomizeSeed:TVe,setSteps:kVe,setThreshold:PVe,setInfillTileSize:IVe,setInfillPatchmatchDownscaleSize:RVe,setVariationAmount:OVe,setShouldUseSymmetry:MVe,setHorizontalSymmetrySteps:$Ve,setVerticalSymmetrySteps:NVe,initialImageChanged:f2,modelChanged:zu,vaeSelected:lz,setSeamlessXAxis:DVe,setSeamlessYAxis:LVe,setClipSkip:FVe,shouldUseCpuNoiseChanged:BVe,setAspectRatio:eue,setShouldLockAspectRatio:zVe,vaePrecisionChanged:jVe}=sz.actions,tue=sz.reducer,xv=(e,t,n,r,i,o,a)=>{const s=Math.floor(e/2-(n+i/2)*a),l=Math.floor(t/2-(r+o/2)*a);return{x:s,y:l}},wv=(e,t,n,r,i=.95)=>{const o=e*i/n,a=t*i/r,s=Math.min(1,Math.min(o,a));return s||1},UVe=.999,VVe=.1,GVe=20,Cv=.95,qVe=30,HVe=10,nue=e=>({x:Math.floor(e.x),y:Math.floor(e.y)}),pf=e=>{const{width:t,height:n}=e,r={width:t,height:n},i=512*512,o=t/n;let a=t*n,s=448;for(;a<i;)if(s+=64,t===n){r.width=512,r.height=512;break}else o>1?(r.width=s,r.height=Ho(s/o,64)):o<1&&(r.height=s,r.width=Ho(s*o,64)),a=r.width*r.height;return r},rue=e=>({width:Ho(e.width,64),height:Ho(e.height,64)}),WVe=[{label:"Base",value:"base"},{label:"Mask",value:"mask"}],KVe=[{label:"None",value:"none"},{label:"Auto",value:"auto"},{label:"Manual",value:"manual"}],uz=e=>e.kind==="line"&&e.layer==="mask",QVe=e=>e.kind==="line"&&e.layer==="base",iue=e=>e.kind==="image"&&e.layer==="base",XVe=e=>e.kind==="fillRect"&&e.layer==="base",YVe=e=>e.kind==="eraseRect"&&e.layer==="base",oue=e=>e.kind==="line",Ag={objects:[],stagingArea:{images:[],selectedImageIndex:-1}},cz={boundingBoxCoordinates:{x:0,y:0},boundingBoxDimensions:{width:512,height:512},boundingBoxPreviewFill:{r:0,g:0,b:0,a:.5},boundingBoxScaleMethod:"none",brushColor:{r:90,g:90,b:255,a:1},brushSize:50,colorPickerColor:{r:90,g:90,b:255,a:1},cursorPosition:null,futureLayerStates:[],isDrawing:!1,isMaskEnabled:!0,isMouseOverBoundingBox:!1,isMoveBoundingBoxKeyHeld:!1,isMoveStageKeyHeld:!1,isMovingBoundingBox:!1,isMovingStage:!1,isTransformingBoundingBox:!1,layer:"base",layerState:Ag,maskColor:{r:255,g:90,b:90,a:1},maxHistory:128,minimumStageScale:1,pastLayerStates:[],scaledBoundingBoxDimensions:{width:512,height:512},shouldAntialias:!0,shouldAutoSave:!1,shouldCropToBoundingBoxOnSave:!1,shouldDarkenOutsideBoundingBox:!1,shouldLockBoundingBox:!1,shouldPreserveMaskedArea:!1,shouldRestrictStrokesToBox:!0,shouldShowBoundingBox:!0,shouldShowBrush:!0,shouldShowBrushPreview:!1,shouldShowCanvasDebugInfo:!1,shouldShowCheckboardTransparency:!1,shouldShowGrid:!0,shouldShowIntermediates:!0,shouldShowStagingImage:!0,shouldShowStagingOutline:!0,shouldSnapToGrid:!0,stageCoordinates:{x:0,y:0},stageDimensions:{width:0,height:0},stageScale:1,tool:"brush",batchIds:[]},dz=nr({name:"canvas",initialState:cz,reducers:{setTool:(e,t)=>{const n=t.payload;e.tool=t.payload,n!=="move"&&(e.isTransformingBoundingBox=!1,e.isMouseOverBoundingBox=!1,e.isMovingBoundingBox=!1,e.isMovingStage=!1)},setLayer:(e,t)=>{e.layer=t.payload},toggleTool:e=>{const t=e.tool;t!=="move"&&(e.tool=t==="brush"?"eraser":"brush")},setMaskColor:(e,t)=>{e.maskColor=t.payload},setBrushColor:(e,t)=>{e.brushColor=t.payload},setBrushSize:(e,t)=>{e.brushSize=t.payload},clearMask:e=>{e.pastLayerStates.push(Ut(e.layerState)),e.layerState.objects=e.layerState.objects.filter(t=>!uz(t)),e.futureLayerStates=[],e.shouldPreserveMaskedArea=!1},toggleShouldInvertMask:e=>{e.shouldPreserveMaskedArea=!e.shouldPreserveMaskedArea},toggleShouldShowMask:e=>{e.isMaskEnabled=!e.isMaskEnabled},setShouldPreserveMaskedArea:(e,t)=>{e.shouldPreserveMaskedArea=t.payload},setIsMaskEnabled:(e,t)=>{e.isMaskEnabled=t.payload,e.layer=t.payload?"mask":"base"},setShouldShowCheckboardTransparency:(e,t)=>{e.shouldShowCheckboardTransparency=t.payload},setShouldShowBrushPreview:(e,t)=>{e.shouldShowBrushPreview=t.payload},setShouldShowBrush:(e,t)=>{e.shouldShowBrush=t.payload},setCursorPosition:(e,t)=>{e.cursorPosition=t.payload},setInitialCanvasImage:(e,t)=>{const n=t.payload,{width:r,height:i}=n,{stageDimensions:o}=e,a={width:yv(Bu(r,64,512),64),height:yv(Bu(i,64,512),64)},s={x:Ho(r/2-a.width/2,64),y:Ho(i/2-a.height/2,64)};if(e.boundingBoxScaleMethod==="auto"){const c=pf(a);e.scaledBoundingBoxDimensions=c}e.boundingBoxDimensions=a,e.boundingBoxCoordinates=s,e.pastLayerStates.push(Ut(e.layerState)),e.layerState={...Ut(Ag),objects:[{kind:"image",layer:"base",x:0,y:0,width:r,height:i,imageName:n.image_name}]},e.futureLayerStates=[],e.batchIds=[];const l=wv(o.width,o.height,r,i,Cv),u=xv(o.width,o.height,0,0,r,i,l);e.stageScale=l,e.stageCoordinates=u},setBoundingBoxDimensions:(e,t)=>{const n=rue(t.payload);if(e.boundingBoxDimensions=n,e.boundingBoxScaleMethod==="auto"){const r=pf(n);e.scaledBoundingBoxDimensions=r}},flipBoundingBoxAxes:e=>{const[t,n]=[e.boundingBoxDimensions.width,e.boundingBoxDimensions.height],[r,i]=[e.scaledBoundingBoxDimensions.width,e.scaledBoundingBoxDimensions.height];e.boundingBoxDimensions={width:n,height:t},e.scaledBoundingBoxDimensions={width:i,height:r}},setBoundingBoxCoordinates:(e,t)=>{e.boundingBoxCoordinates=nue(t.payload)},setStageCoordinates:(e,t)=>{e.stageCoordinates=t.payload},setBoundingBoxPreviewFill:(e,t)=>{e.boundingBoxPreviewFill=t.payload},setStageScale:(e,t)=>{e.stageScale=t.payload},setShouldDarkenOutsideBoundingBox:(e,t)=>{e.shouldDarkenOutsideBoundingBox=t.payload},setIsDrawing:(e,t)=>{e.isDrawing=t.payload},clearCanvasHistory:e=>{e.pastLayerStates=[],e.futureLayerStates=[]},setShouldLockBoundingBox:(e,t)=>{e.shouldLockBoundingBox=t.payload},toggleShouldLockBoundingBox:e=>{e.shouldLockBoundingBox=!e.shouldLockBoundingBox},setShouldShowBoundingBox:(e,t)=>{e.shouldShowBoundingBox=t.payload},setIsTransformingBoundingBox:(e,t)=>{e.isTransformingBoundingBox=t.payload},setIsMovingBoundingBox:(e,t)=>{e.isMovingBoundingBox=t.payload},setIsMouseOverBoundingBox:(e,t)=>{e.isMouseOverBoundingBox=t.payload},setIsMoveBoundingBoxKeyHeld:(e,t)=>{e.isMoveBoundingBoxKeyHeld=t.payload},setIsMoveStageKeyHeld:(e,t)=>{e.isMoveStageKeyHeld=t.payload},canvasBatchIdAdded:(e,t)=>{e.batchIds.push(t.payload)},canvasBatchIdsReset:e=>{e.batchIds=[]},stagingAreaInitialized:(e,t)=>{const{boundingBox:n}=t.payload;e.layerState.stagingArea={boundingBox:n,images:[],selectedImageIndex:-1}},addImageToStagingArea:(e,t)=>{const n=t.payload;!n||!e.layerState.stagingArea.boundingBox||(e.pastLayerStates.push(Ut(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.stagingArea.images.push({kind:"image",layer:"base",...e.layerState.stagingArea.boundingBox,imageName:n.image_name}),e.layerState.stagingArea.selectedImageIndex=e.layerState.stagingArea.images.length-1,e.futureLayerStates=[])},discardStagedImages:e=>{e.pastLayerStates.push(Ut(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.stagingArea=Ut(Ut(Ag)).stagingArea,e.futureLayerStates=[],e.shouldShowStagingOutline=!0,e.shouldShowStagingImage=!0,e.batchIds=[]},addFillRect:e=>{const{boundingBoxCoordinates:t,boundingBoxDimensions:n,brushColor:r}=e;e.pastLayerStates.push(Ut(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.objects.push({kind:"fillRect",layer:"base",...t,...n,color:r}),e.futureLayerStates=[]},addEraseRect:e=>{const{boundingBoxCoordinates:t,boundingBoxDimensions:n}=e;e.pastLayerStates.push(Ut(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.objects.push({kind:"eraseRect",layer:"base",...t,...n}),e.futureLayerStates=[]},addLine:(e,t)=>{const{tool:n,layer:r,brushColor:i,brushSize:o,shouldRestrictStrokesToBox:a}=e;if(n==="move"||n==="colorPicker")return;const s=o/2,l=r==="base"&&n==="brush"?{color:i}:{};e.pastLayerStates.push(Ut(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift();const u={kind:"line",layer:r,tool:n,strokeWidth:s,points:t.payload,...l};a&&(u.clip={...e.boundingBoxCoordinates,...e.boundingBoxDimensions}),e.layerState.objects.push(u),e.futureLayerStates=[]},addPointToCurrentLine:(e,t)=>{const n=e.layerState.objects.findLast(oue);n&&n.points.push(...t.payload)},undo:e=>{const t=e.pastLayerStates.pop();t&&(e.futureLayerStates.unshift(Ut(e.layerState)),e.futureLayerStates.length>e.maxHistory&&e.futureLayerStates.pop(),e.layerState=t)},redo:e=>{const t=e.futureLayerStates.shift();t&&(e.pastLayerStates.push(Ut(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState=t)},setShouldShowGrid:(e,t)=>{e.shouldShowGrid=t.payload},setIsMovingStage:(e,t)=>{e.isMovingStage=t.payload},setShouldSnapToGrid:(e,t)=>{e.shouldSnapToGrid=t.payload},setShouldAutoSave:(e,t)=>{e.shouldAutoSave=t.payload},setShouldShowIntermediates:(e,t)=>{e.shouldShowIntermediates=t.payload},resetCanvas:e=>{e.pastLayerStates.push(Ut(e.layerState)),e.layerState=Ut(Ag),e.futureLayerStates=[],e.batchIds=[]},canvasResized:(e,t)=>{const{width:n,height:r}=t.payload,i={width:Math.floor(n),height:Math.floor(r)};if(e.stageDimensions=i,!e.layerState.objects.find(iue)){const o=wv(i.width,i.height,512,512,Cv),a=xv(i.width,i.height,0,0,512,512,o),s={width:512,height:512};if(e.stageScale=o,e.stageCoordinates=a,e.boundingBoxCoordinates={x:0,y:0},e.boundingBoxDimensions=s,e.boundingBoxScaleMethod==="auto"){const l=pf(s);e.scaledBoundingBoxDimensions=l}}},resetCanvasView:(e,t)=>{const{contentRect:n,shouldScaleTo1:r}=t.payload,{stageDimensions:{width:i,height:o}}=e,{x:a,y:s,width:l,height:u}=n;if(l!==0&&u!==0){const c=r?1:wv(i,o,l,u,Cv),d=xv(i,o,a,s,l,u,c);e.stageScale=c,e.stageCoordinates=d}else{const c=wv(i,o,512,512,Cv),d=xv(i,o,0,0,512,512,c),f={width:512,height:512};if(e.stageScale=c,e.stageCoordinates=d,e.boundingBoxCoordinates={x:0,y:0},e.boundingBoxDimensions=f,e.boundingBoxScaleMethod==="auto"){const h=pf(f);e.scaledBoundingBoxDimensions=h}}},nextStagingAreaImage:e=>{if(!e.layerState.stagingArea.images.length)return;const t=e.layerState.stagingArea.selectedImageIndex+1,n=e.layerState.stagingArea.images.length-1;e.layerState.stagingArea.selectedImageIndex=t>n?0:t},prevStagingAreaImage:e=>{if(!e.layerState.stagingArea.images.length)return;const t=e.layerState.stagingArea.selectedImageIndex-1,n=e.layerState.stagingArea.images.length-1;e.layerState.stagingArea.selectedImageIndex=t<0?n:t},commitStagingAreaImage:e=>{if(!e.layerState.stagingArea.images.length)return;const{images:t,selectedImageIndex:n}=e.layerState.stagingArea;e.pastLayerStates.push(Ut(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift();const r=t[n];r&&e.layerState.objects.push({...r}),e.layerState.stagingArea=Ut(Ag).stagingArea,e.futureLayerStates=[],e.shouldShowStagingOutline=!0,e.shouldShowStagingImage=!0,e.batchIds=[]},fitBoundingBoxToStage:e=>{const{boundingBoxDimensions:t,boundingBoxCoordinates:n,stageDimensions:r,stageScale:i}=e,o=r.width/i,a=r.height/i;if(n.x<0||n.x+t.width>o||n.y<0||n.y+t.height>a){const s={width:yv(Bu(o,64,512),64),height:yv(Bu(a,64,512),64)},l={x:Ho(o/2-s.width/2,64),y:Ho(a/2-s.height/2,64)};if(e.boundingBoxDimensions=s,e.boundingBoxCoordinates=l,e.boundingBoxScaleMethod==="auto"){const u=pf(s);e.scaledBoundingBoxDimensions=u}}},setBoundingBoxScaleMethod:(e,t)=>{if(e.boundingBoxScaleMethod=t.payload,t.payload==="auto"){const 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xe=ie[Re],Ye=xe[0],Ze=xe[1];if(De.overrideExisting||!(Ye in je.endpointDefinitions)){je.endpointDefinitions[Ye]=Ze;for(var ct=0,ft=ut;ct<ft.length;ct++)ft[ct].injectEndpoint(Ye,Ze)}}return Ge},enhanceEndpoints:function(De){var qe=De.addTagTypes,Re=De.endpoints;if(qe)for(var ie=0,xe=qe;ie<xe.length;ie++){var Ye=xe[ie];oe.tagTypes.includes(Ye)||oe.tagTypes.push(Ye)}if(Re)for(var Ze=0,ct=Object.entries(Re);Ze<ct.length;Ze++){var ft=ct[Ze],_t=ft[0],wt=ft[1];typeof wt=="function"?wt(je.endpointDefinitions[_t]):Object.assign(je.endpointDefinitions[_t]||{},wt)}return Ge}},ut=H.map(function(De){return De.init(Ge,oe,je)});return Ge.injectEndpoints({endpoints:re.endpoints})}}function dl(){return function(){throw new Error("When using `fakeBaseQuery`, all queries & mutations must use the `queryFn` definition syntax.")}}var Fo,fl=v(zo),Bn=function(H){var te=H.reducerPath,re=H.api,de=H.context,oe=H.internalState,je=re.internalActions,Ge=je.removeQueryResult,ut=je.unsubscribeQueryResult;function De(ie){var xe=oe.currentSubscriptions[ie];return!!xe&&!function(Ye){for(var Ze in Ye)return!1;return!0}(xe)}var qe={};function Re(ie,xe,Ye,Ze){var ct,ft=de.endpointDefinitions[xe],_t=(ct=ft==null?void 0:ft.keepUnusedDataFor)!=null?ct:Ze.keepUnusedDataFor;if(_t!==1/0){var wt=Math.max(0,Math.min(_t,2147482647e-3));if(!De(ie)){var Et=qe[ie];Et&&clearTimeout(Et),qe[ie]=setTimeout(function(){De(ie)||Ye.dispatch(Ge({queryCacheKey:ie})),delete qe[ie]},1e3*wt)}}}return function(ie,xe,Ye){var Ze;if(ut.match(ie)){var ct=xe.getState()[te];Re(Di=ie.payload.queryCacheKey,(Ze=ct.queries[Di])==null?void 0:Ze.endpointName,xe,ct.config)}if(re.util.resetApiState.match(ie))for(var ft=0,_t=Object.entries(qe);ft<_t.length;ft++){var wt=_t[ft],Et=wt[0],dn=wt[1];dn&&clearTimeout(dn),delete qe[Et]}if(de.hasRehydrationInfo(ie)){ct=xe.getState()[te];for(var fn=de.extractRehydrationInfo(ie).queries,Ni=0,Bo=Object.entries(fn);Ni<Bo.length;Ni++){var Di,Sr=Bo[Ni],vi=Sr[1];Re(Di=Sr[0],vi==null?void 0:vi.endpointName,xe,ct.config)}}}},nn=v(zo),jr=function(H){var te=H.reducerPath,re=H.context,de=H.context.endpointDefinitions,oe=H.mutationThunk,je=H.api,Ge=H.assertTagType,ut=H.refetchQuery,De=je.internalActions.removeQueryResult,qe=(0,nn.isAnyOf)((0,nn.isFulfilled)(oe),(0,nn.isRejectedWithValue)(oe));function Re(ie,xe){var Ye=xe.getState(),Ze=Ye[te],ct=je.util.selectInvalidatedBy(Ye,ie);re.batch(function(){for(var ft,_t=0,wt=Array.from(ct.values());_t<wt.length;_t++){var Et=wt[_t].queryCacheKey,dn=Ze.queries[Et],fn=(ft=Ze.subscriptions[Et])!=null?ft:{};dn&&(Object.keys(fn).length===0?xe.dispatch(De({queryCacheKey:Et})):dn.status!==t.uninitialized&&xe.dispatch(ut(dn,Et)))}})}return function(ie,xe){qe(ie)&&Re(Dn(ie,"invalidatesTags",de,Ge),xe),je.util.invalidateTags.match(ie)&&Re(se(ie.payload,void 0,void 0,void 0,void 0,Ge),xe)}},Mr=function(H){var te=H.reducerPath,re=H.queryThunk,de=H.api,oe=H.refetchQuery,je=H.internalState,Ge={};function ut(ie,xe){var Ye=ie.queryCacheKey,Ze=xe.getState()[te].queries[Ye];if(Ze&&Ze.status!==t.uninitialized){var ct=Re(je.currentSubscriptions[Ye]);if(Number.isFinite(ct)){var ft=Ge[Ye];ft!=null&&ft.timeout&&(clearTimeout(ft.timeout),ft.timeout=void 0);var _t=Date.now()+ct,wt=Ge[Ye]={nextPollTimestamp:_t,pollingInterval:ct,timeout:setTimeout(function(){wt.timeout=void 0,xe.dispatch(oe(Ze,Ye))},ct)}}}}function De(ie,xe){var Ye=ie.queryCacheKey,Ze=xe.getState()[te].queries[Ye];if(Ze&&Ze.status!==t.uninitialized){var ct=Re(je.currentSubscriptions[Ye]);if(Number.isFinite(ct)){var ft=Ge[Ye],_t=Date.now()+ct;(!ft||_t<ft.nextPollTimestamp)&&ut({queryCacheKey:Ye},xe)}else qe(Ye)}}function qe(ie){var xe=Ge[ie];xe!=null&&xe.timeout&&clearTimeout(xe.timeout),delete Ge[ie]}function Re(ie){ie===void 0&&(ie={});var xe=Number.POSITIVE_INFINITY;for(var Ye in ie)ie[Ye].pollingInterval&&(xe=Math.min(ie[Ye].pollingInterval,xe));return xe}return function(ie,xe){(de.internalActions.updateSubscriptionOptions.match(ie)||de.internalActions.unsubscribeQueryResult.match(ie))&&De(ie.payload,xe),(re.pending.match(ie)||re.rejected.match(ie)&&ie.meta.condition)&&De(ie.meta.arg,xe),(re.fulfilled.match(ie)||re.rejected.match(ie)&&!ie.meta.condition)&&ut(ie.meta.arg,xe),de.util.resetApiState.match(ie)&&function(){for(var Ye=0,Ze=Object.keys(Ge);Ye<Ze.length;Ye++)qe(Ze[Ye])}()}},$r=v(zo),ti=new Error("Promise never resolved before cacheEntryRemoved."),$i=function(H){var te=H.api,re=H.reducerPath,de=H.context,oe=H.queryThunk,je=H.mutationThunk,Ge=(0,$r.isAsyncThunkAction)(oe),ut=(0,$r.isAsyncThunkAction)(je),De=(0,$r.isFulfilled)(oe,je),qe={};function Re(ie,xe,Ye,Ze,ct){var ft=de.endpointDefinitions[ie],_t=ft==null?void 0:ft.onCacheEntryAdded;if(_t){var wt={},Et=new Promise(function(Sr){wt.cacheEntryRemoved=Sr}),dn=Promise.race([new Promise(function(Sr){wt.valueResolved=Sr}),Et.then(function(){throw 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He,ht,Ve,Ce,ue,Te,fe,ge,Ae,et,Qe,Pe,Tt,jt=ke.signal,Gt=ke.abort,or=ke.rejectWithValue,gr=ke.fulfillWithValue,zn=ke.dispatch,kn=ke.getState,Yi=ke.extra;return r(this,function(F){switch(F.label){case 0:He=xr[Ue.endpointName],F.label=1;case 1:return F.trys.push([1,8,,13]),ht=Ir,Ve=void 0,Ce={signal:jt,abort:Gt,dispatch:zn,getState:kn,extra:Yi,endpoint:Ue.endpointName,type:Ue.type,forced:Ue.type==="query"?Wt(Ue,kn()):void 0},(ue=Ue.type==="query"?Ue[ot]:void 0)?(Ve=ue(),[3,6]):[3,2];case 2:return He.query?[4,ir(He.query(Ue.originalArgs),Ce,He.extraOptions)]:[3,4];case 3:return Ve=F.sent(),He.transformResponse&&(ht=He.transformResponse),[3,6];case 4:return[4,He.queryFn(Ue.originalArgs,Ce,He.extraOptions,function(V){return ir(V,Ce,He.extraOptions)})];case 5:Ve=F.sent(),F.label=6;case 6:if(Ve.error)throw new k(Ve.error,Ve.meta);return Te=gr,[4,ht(Ve.data,Ve.meta,Ue.originalArgs)];case 7:return[2,Te.apply(void 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we;return(we={startedTimeStamp:Date.now()})[en.SHOULD_AUTOBATCH]=!0,we},condition:function(we,Je){var Ue,ke,He,ht=(0,Je.getState)(),Ve=(ke=(Ue=ht[rn])==null?void 0:Ue.queries)==null?void 0:ke[we.queryCacheKey],Ce=Ve==null?void 0:Ve.fulfilledTimeStamp,ue=we.originalArgs,Te=Ve==null?void 0:Ve.originalArgs,fe=xr[we.endpointName];return!(!ze(we)&&((Ve==null?void 0:Ve.status)==="pending"||!Wt(we,ht)&&(!ne(fe)||!((He=fe==null?void 0:fe.forceRefetch)!=null&&He.call(fe,{currentArg:ue,previousArg:Te,endpointState:Ve,state:ht})))&&Ce))},dispatchConditionRejection:!0}),on=(0,en.createAsyncThunk)(rn+"/executeMutation",Mt,{getPendingMeta:function(){var we;return(we={startedTimeStamp:Date.now()})[en.SHOULD_AUTOBATCH]=!0,we}});function mn(we){return function(Je){var Ue,ke;return((ke=(Ue=Je==null?void 0:Je.meta)==null?void 0:Ue.arg)==null?void 0:ke.endpointName)===we}}return{queryThunk:xn,mutationThunk:on,prefetch:function(we,Je,Ue){return function(ke,He){var ht=function(fe){return"force"in fe}(Ue)&&Ue.force,Ve=function(fe){return"ifOlderThan"in fe}(Ue)&&Ue.ifOlderThan,Ce=function(fe){return fe===void 0&&(fe=!0),Sn.endpoints[we].initiate(Je,{forceRefetch:fe})},ue=Sn.endpoints[we].select(Je)(He());if(ht)ke(Ce());else if(Ve){var Te=ue==null?void 0:ue.fulfilledTimeStamp;if(!Te)return void ke(Ce());(Number(new Date)-Number(new Date(Te)))/1e3>=Ve&&ke(Ce())}else ke(Ce(!1))}},updateQueryData:function(we,Je,Ue){return function(ke,He){var ht,Ve,Ce=Sn.endpoints[we].select(Je)(He()),ue={patches:[],inversePatches:[],undo:function(){return ke(Sn.util.patchQueryData(we,Je,ue.inversePatches))}};if(Ce.status===t.uninitialized)return ue;if("data"in Ce)if((0,Ie.isDraftable)(Ce.data)){var Te=(0,Ie.produceWithPatches)(Ce.data,Ue),fe=Te[2];(ht=ue.patches).push.apply(ht,Te[1]),(Ve=ue.inversePatches).push.apply(Ve,fe)}else{var ge=Ue(Ce.data);ue.patches.push({op:"replace",path:[],value:ge}),ue.inversePatches.push({op:"replace",path:[],value:Ce.data})}return ke(Sn.util.patchQueryData(we,Je,ue.patches)),ue}},upsertQueryData:function(we,Je,Ue){return function(ke){var He;return ke(Sn.endpoints[we].initiate(Je,((He={subscribe:!1,forceRefetch:!0})[ot]=function(){return{data:Ue}},He)))}},patchQueryData:function(we,Je,Ue){return function(ke){ke(Sn.internalActions.queryResultPatched({queryCacheKey:bi({queryArgs:Je,endpointDefinition:xr[we],endpointName:we}),patches:Ue}))}},buildMatchThunkActions:function(we,Je){return{matchPending:(0,mt.isAllOf)((0,mt.isPending)(we),mn(Je)),matchFulfilled:(0,mt.isAllOf)((0,mt.isFulfilled)(we),mn(Je)),matchRejected:(0,mt.isAllOf)((0,mt.isRejected)(we),mn(Je))}}}}({baseQuery:de,reducerPath:oe,context:re,api:H,serializeQueryArgs:je}),xe=ie.queryThunk,Ye=ie.mutationThunk,Ze=ie.patchQueryData,ct=ie.updateQueryData,ft=ie.upsertQueryData,_t=ie.prefetch,wt=ie.buildMatchThunkActions,Et=function(it){var hn=it.reducerPath,rn=it.queryThunk,ir=it.mutationThunk,xr=it.context,bi=xr.endpointDefinitions,Sn=xr.apiUid,Mt=xr.extractRehydrationInfo,Wt=xr.hasRehydrationInfo,xn=it.assertTagType,on=it.config,mn=(0,ce.createAction)(hn+"/resetApiState"),we=(0,ce.createSlice)({name:hn+"/queries",initialState:Jr,reducers:{removeQueryResult:{reducer:function(Ce,ue){delete Ce[ue.payload.queryCacheKey]},prepare:(0,ce.prepareAutoBatched)()},queryResultPatched:function(Ce,ue){var Te=ue.payload,fe=Te.patches;Ln(Ce,Te.queryCacheKey,function(ge){ge.data=(0,tn.applyPatches)(ge.data,fe.concat())})}},extraReducers:function(Ce){Ce.addCase(rn.pending,function(ue,Te){var fe,ge=Te.meta,Ae=Te.meta.arg,et=ze(Ae);(Ae.subscribe||et)&&(ue[fe=Ae.queryCacheKey]!=null||(ue[fe]={status:t.uninitialized,endpointName:Ae.endpointName})),Ln(ue,Ae.queryCacheKey,function(Qe){Qe.status=t.pending,Qe.requestId=et&&Qe.requestId?Qe.requestId:ge.requestId,Ae.originalArgs!==void 0&&(Qe.originalArgs=Ae.originalArgs),Qe.startedTimeStamp=ge.startedTimeStamp})}).addCase(rn.fulfilled,function(ue,Te){var fe=Te.meta,ge=Te.payload;Ln(ue,fe.arg.queryCacheKey,function(Ae){var et;if(Ae.requestId===fe.requestId||ze(fe.arg)){var Qe=bi[fe.arg.endpointName].merge;if(Ae.status=t.fulfilled,Qe)if(Ae.data!==void 0){var Pe=fe.fulfilledTimeStamp,Tt=fe.arg,jt=fe.baseQueryMeta,Gt=fe.requestId,or=(0,ce.createNextState)(Ae.data,function(gr){return Qe(gr,ge,{arg:Tt.originalArgs,baseQueryMeta:jt,fulfilledTimeStamp:Pe,requestId:Gt})});Ae.data=or}else Ae.data=ge;else Ae.data=(et=bi[fe.arg.endpointName].structuralSharing)==null||et?C((0,Tn.isDraft)(Ae.data)?(0,tn.original)(Ae.data):Ae.data,ge):ge;delete Ae.error,Ae.fulfilledTimeStamp=fe.fulfilledTimeStamp}})}).addCase(rn.rejected,function(ue,Te){var fe=Te.meta,ge=fe.condition,Ae=fe.requestId,et=Te.error,Qe=Te.payload;Ln(ue,fe.arg.queryCacheKey,function(Pe){if(!ge){if(Pe.requestId!==Ae)return;Pe.status=t.rejected,Pe.error=Qe??et}})}).addMatcher(Wt,function(ue,Te){for(var fe=Mt(Te).queries,ge=0,Ae=Object.entries(fe);ge<Ae.length;ge++){var et=Ae[ge],Qe=et[1];(Qe==null?void 0:Qe.status)!==t.fulfilled&&(Qe==null?void 0:Qe.status)!==t.rejected||(ue[et[0]]=Qe)}})}}),Je=(0,ce.createSlice)({name:hn+"/mutations",initialState:Jr,reducers:{removeMutationResult:{reducer:function(Ce,ue){var Te=Rr(ue.payload);Te in Ce&&delete Ce[Te]},prepare:(0,ce.prepareAutoBatched)()}},extraReducers:function(Ce){Ce.addCase(ir.pending,function(ue,Te){var fe=Te.meta,ge=fe.requestId,Ae=fe.arg,et=fe.startedTimeStamp;Ae.track&&(ue[Rr(Te.meta)]={requestId:ge,status:t.pending,endpointName:Ae.endpointName,startedTimeStamp:et})}).addCase(ir.fulfilled,function(ue,Te){var fe=Te.payload,ge=Te.meta;ge.arg.track&&mo(ue,ge,function(Ae){Ae.requestId===ge.requestId&&(Ae.status=t.fulfilled,Ae.data=fe,Ae.fulfilledTimeStamp=ge.fulfilledTimeStamp)})}).addCase(ir.rejected,function(ue,Te){var fe=Te.payload,ge=Te.error,Ae=Te.meta;Ae.arg.track&&mo(ue,Ae,function(et){et.requestId===Ae.requestId&&(et.status=t.rejected,et.error=fe??ge)})}).addMatcher(Wt,function(ue,Te){for(var fe=Mt(Te).mutations,ge=0,Ae=Object.entries(fe);ge<Ae.length;ge++){var et=Ae[ge],Qe=et[0],Pe=et[1];(Pe==null?void 0:Pe.status)!==t.fulfilled&&(Pe==null?void 0:Pe.status)!==t.rejected||Qe===(Pe==null?void 0:Pe.requestId)||(ue[Qe]=Pe)}})}}),Ue=(0,ce.createSlice)({name:hn+"/invalidation",initialState:Jr,reducers:{},extraReducers:function(Ce){Ce.addCase(we.actions.removeQueryResult,function(ue,Te){for(var fe=Te.payload.queryCacheKey,ge=0,Ae=Object.values(ue);ge<Ae.length;ge++)for(var et=0,Qe=Object.values(Ae[ge]);et<Qe.length;et++){var Pe=Qe[et],Tt=Pe.indexOf(fe);Tt!==-1&&Pe.splice(Tt,1)}}).addMatcher(Wt,function(ue,Te){for(var fe,ge,Ae,et,Qe=Mt(Te).provided,Pe=0,Tt=Object.entries(Qe);Pe<Tt.length;Pe++)for(var jt=Tt[Pe],Gt=jt[0],or=0,gr=Object.entries(jt[1]);or<gr.length;or++)for(var zn=gr[or],kn=zn[0],Yi=zn[1],F=(et=(ge=(fe=ue[Gt])!=null?fe:ue[Gt]={})[Ae=kn||"__internal_without_id"])!=null?et:ge[Ae]=[],V=0,X=Yi;V<X.length;V++){var pe=X[V];F.includes(pe)||F.push(pe)}}).addMatcher((0,ce.isAnyOf)((0,ce.isFulfilled)(rn),(0,ce.isRejectedWithValue)(rn)),function(ue,Te){for(var fe,ge,Ae,et,Qe=Dn(Te,"providesTags",bi,xn),Pe=Te.meta.arg.queryCacheKey,Tt=0,jt=Object.values(ue);Tt<jt.length;Tt++)for(var Gt=0,or=Object.values(jt[Tt]);Gt<or.length;Gt++){var gr=or[Gt],zn=gr.indexOf(Pe);zn!==-1&&gr.splice(zn,1)}for(var kn=0,Yi=Qe;kn<Yi.length;kn++){var F=Yi[kn],V=F.type,X=F.id,pe=(et=(ge=(fe=ue[V])!=null?fe:ue[V]={})[Ae=X||"__internal_without_id"])!=null?et:ge[Ae]=[];pe.includes(Pe)||pe.push(Pe)}})}}),ke=(0,ce.createSlice)({name:hn+"/subscriptions",initialState:Jr,reducers:{updateSubscriptionOptions:function(Ce,ue){},unsubscribeQueryResult:function(Ce,ue){},internal_probeSubscription:function(Ce,ue){}}}),He=(0,ce.createSlice)({name:hn+"/internalSubscriptions",initialState:Jr,reducers:{subscriptionsUpdated:{reducer:function(Ce,ue){return(0,tn.applyPatches)(Ce,ue.payload)},prepare:(0,ce.prepareAutoBatched)()}}}),ht=(0,ce.createSlice)({name:hn+"/config",initialState:_({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},on),reducers:{middlewareRegistered:function(Ce,ue){Ce.middlewareRegistered=Ce.middlewareRegistered!=="conflict"&&Sn===ue.payload||"conflict"}},extraReducers:function(Ce){Ce.addCase(U,function(ue){ue.online=!0}).addCase(G,function(ue){ue.online=!1}).addCase($,function(ue){ue.focused=!0}).addCase(B,function(ue){ue.focused=!1}).addMatcher(Wt,function(ue){return _({},ue)})}}),Ve=(0,ce.combineReducers)({queries:we.reducer,mutations:Je.reducer,provided:Ue.reducer,subscriptions:He.reducer,config:ht.reducer});return{reducer:function(Ce,ue){return Ve(mn.match(ue)?void 0:Ce,ue)},actions:b(_(_(_(_(_({},ht.actions),we.actions),ke.actions),He.actions),Je.actions),{unsubscribeMutationResult:Je.actions.removeMutationResult,resetApiState:mn})}}({context:re,queryThunk:xe,mutationThunk:Ye,reducerPath:oe,assertTagType:Re,config:{refetchOnFocus:De,refetchOnReconnect:qe,refetchOnMountOrArgChange:ut,keepUnusedDataFor:Ge,reducerPath:oe}}),dn=Et.reducer,fn=Et.actions;yi(H.util,{patchQueryData:Ze,updateQueryData:ct,upsertQueryData:ft,prefetch:_t,resetApiState:fn.resetApiState}),yi(H.internalActions,fn);var Ni=function(it){var hn=it.reducerPath,rn=it.queryThunk,ir=it.api,xr=it.context,bi=xr.apiUid,Sn={invalidateTags:(0,fl.createAction)(hn+"/invalidateTags")},Mt=[Ur,Bn,jr,Mr,$i,mi];return{middleware:function(xn){var on=!1,mn=b(_({},it),{internalState:{currentSubscriptions:{}},refetchQuery:Wt}),we=Mt.map(function(ke){return ke(mn)}),Je=function(ke){var He=ke.api,ht=ke.queryThunk,Ve=ke.internalState,Ce=He.reducerPath+"/subscriptions",ue=null,Te=!1,fe=He.internalActions,ge=fe.updateSubscriptionOptions,Ae=fe.unsubscribeQueryResult;return function(et,Qe){var Pe,Tt;if(ue||(ue=JSON.parse(JSON.stringify(Ve.currentSubscriptions))),He.util.resetApiState.match(et))return ue=Ve.currentSubscriptions={},[!0,!1];if(He.internalActions.internal_probeSubscription.match(et)){var jt=et.payload;return[!1,!!((Pe=Ve.currentSubscriptions[jt.queryCacheKey])!=null&&Pe[jt.requestId])]}var Gt=function(zn,kn){var Yi,F,V,X,pe,Ct,pn,Pn,It;if(ge.match(kn)){var wn=kn.payload,_i=wn.queryCacheKey,Xn=wn.requestId;return(Yi=zn==null?void 0:zn[_i])!=null&&Yi[Xn]&&(zn[_i][Xn]=wn.options),!0}if(Ae.match(kn)){var du=kn.payload;return Xn=du.requestId,zn[_i=du.queryCacheKey]&&delete zn[_i][Xn],!0}if(He.internalActions.removeQueryResult.match(kn))return delete zn[kn.payload.queryCacheKey],!0;if(ht.pending.match(kn)){var lf=kn.meta;if(Xn=lf.requestId,(cf=lf.arg).subscribe)return(fu=(V=zn[F=cf.queryCacheKey])!=null?V:zn[F]={})[Xn]=(pe=(X=cf.subscriptionOptions)!=null?X:fu[Xn])!=null?pe:{},!0}if(ht.rejected.match(kn)){var fu,uf=kn.meta,cf=uf.arg;if(Xn=uf.requestId,uf.condition&&cf.subscribe)return(fu=(pn=zn[Ct=cf.queryCacheKey])!=null?pn:zn[Ct]={})[Xn]=(It=(Pn=cf.subscriptionOptions)!=null?Pn:fu[Xn])!=null?It:{},!0}return!1}(Ve.currentSubscriptions,et);if(Gt){Te||(bs(function(){var zn=JSON.parse(JSON.stringify(Ve.currentSubscriptions)),kn=(0,Va.produceWithPatches)(ue,function(){return zn});Qe.next(He.internalActions.subscriptionsUpdated(kn[1])),ue=zn,Te=!1}),Te=!0);var or=!!((Tt=et.type)!=null&&Tt.startsWith(Ce)),gr=ht.rejected.match(et)&&et.meta.condition&&!!et.meta.arg.subscribe;return[!or&&!gr,!1]}return[!0,!1]}}(mn),Ue=function(ke){var He=ke.reducerPath,ht=ke.context,Ve=ke.refetchQuery,Ce=ke.internalState,ue=ke.api.internalActions.removeQueryResult;function Te(fe,ge){var Ae=fe.getState()[He],et=Ae.queries,Qe=Ce.currentSubscriptions;ht.batch(function(){for(var Pe=0,Tt=Object.keys(Qe);Pe<Tt.length;Pe++){var jt=Tt[Pe],Gt=et[jt],or=Qe[jt];or&&Gt&&(Object.values(or).some(function(gr){return gr[ge]===!0})||Object.values(or).every(function(gr){return gr[ge]===void 0})&&Ae.config[ge])&&(Object.keys(or).length===0?fe.dispatch(ue({queryCacheKey:jt})):Gt.status!==t.uninitialized&&fe.dispatch(Ve(Gt,jt)))}})}return function(fe,ge){$.match(fe)&&Te(ge,"refetchOnFocus"),U.match(fe)&&Te(ge,"refetchOnReconnect")}}(mn);return function(ke){return function(He){on||(on=!0,xn.dispatch(ir.internalActions.middlewareRegistered(bi)));var ht,Ve=b(_({},xn),{next:ke}),Ce=xn.getState(),ue=Je(He,Ve,Ce),Te=ue[1];if(ht=ue[0]?ke(He):Te,xn.getState()[hn]&&(Ue(He,Ve,Ce),function(Ae){return!!Ae&&typeof Ae.type=="string"&&Ae.type.startsWith(hn+"/")}(He)||xr.hasRehydrationInfo(He)))for(var fe=0,ge=we;fe<ge.length;fe++)(0,ge[fe])(He,Ve,Ce);return ht}}},actions:Sn};function Wt(xn,on,mn){return mn===void 0&&(mn={}),rn(_({type:"query",endpointName:xn.endpointName,originalArgs:xn.originalArgs,subscribe:!1,forceRefetch:!0,queryCacheKey:on},mn))}}({reducerPath:oe,context:re,queryThunk:xe,mutationThunk:Ye,api:H,assertTagType:Re}),Bo=Ni.middleware;yi(H.util,Ni.actions),yi(H,{reducer:dn,middleware:Bo});var Di=function(it){var hn=it.serializeQueryArgs,rn=it.reducerPath,ir=function(Mt){return Fn},xr=function(Mt){return _n};return{buildQuerySelector:function(Mt,Wt){return function(xn){var on=hn({queryArgs:xn,endpointDefinition:Wt,endpointName:Mt});return(0,Q.createSelector)(xn===pr?ir:function(mn){var we,Je,Ue;return(Ue=(Je=(we=Sn(mn))==null?void 0:we.queries)==null?void 0:Je[on])!=null?Ue:Fn},bi)}},buildMutationSelector:function(){return function(Mt){var Wt,xn;return xn=typeof Mt=="object"?(Wt=Rr(Mt))!=null?Wt:pr:Mt,(0,Q.createSelector)(xn===pr?xr:function(on){var mn,we,Je;return(Je=(we=(mn=Sn(on))==null?void 0:mn.mutations)==null?void 0:we[xn])!=null?Je:_n},bi)}},selectInvalidatedBy:function(Mt,Wt){for(var xn,on=Mt[rn],mn=new Set,we=0,Je=Wt.map(be);we<Je.length;we++){var Ue=Je[we],ke=on.provided[Ue.type];if(ke)for(var He=0,ht=(xn=Ue.id!==void 0?ke[Ue.id]:w(Object.values(ke)))!=null?xn:[];He<ht.length;He++)mn.add(ht[He])}return w(Array.from(mn.values()).map(function(Ve){var Ce=on.queries[Ve];return Ce?[{queryCacheKey:Ve,endpointName:Ce.endpointName,originalArgs:Ce.originalArgs}]:[]}))}};function bi(Mt){return _(_({},Mt),{status:Wt=Mt.status,isUninitialized:Wt===t.uninitialized,isLoading:Wt===t.pending,isSuccess:Wt===t.fulfilled,isError:Wt===t.rejected});var Wt}function Sn(Mt){return Mt[rn]}}({serializeQueryArgs:je,reducerPath:oe}),Sr=Di.buildQuerySelector,vi=Di.buildMutationSelector;yi(H.util,{selectInvalidatedBy:Di.selectInvalidatedBy});var Qn=function(it){var hn=it.serializeQueryArgs,rn=it.queryThunk,ir=it.mutationThunk,xr=it.api,bi=it.context,Sn=new Map,Mt=new Map,Wt=xr.internalActions,xn=Wt.unsubscribeQueryResult,on=Wt.removeMutationResult,mn=Wt.updateSubscriptionOptions;return{buildInitiateQuery:function(we,Je){var Ue=function(ke,He){var ht=He===void 0?{}:He,Ve=ht.subscribe,Ce=Ve===void 0||Ve,ue=ht.forceRefetch,Te=ht.subscriptionOptions,fe=ht[ot];return function(ge,Ae){var et,Qe,Pe=hn({queryArgs:ke,endpointDefinition:Je,endpointName:we}),Tt=rn(((et={type:"query",subscribe:Ce,forceRefetch:ue,subscriptionOptions:Te,endpointName:we,originalArgs:ke,queryCacheKey:Pe})[ot]=fe,et)),jt=xr.endpoints[we].select(ke),Gt=ge(Tt),or=jt(Ae()),gr=Gt.requestId,zn=Gt.abort,kn=or.requestId!==gr,Yi=(Qe=Sn.get(ge))==null?void 0:Qe[Pe],F=function(){return jt(Ae())},V=Object.assign(fe?Gt.then(F):kn&&!Yi?Promise.resolve(or):Promise.all([Yi,Gt]).then(F),{arg:ke,requestId:gr,subscriptionOptions:Te,queryCacheKey:Pe,abort:zn,unwrap:function(){return S(this,null,function(){var pe;return r(this,function(Ct){switch(Ct.label){case 0:return[4,V];case 1:if((pe=Ct.sent()).isError)throw pe.error;return[2,pe.data]}})})},refetch:function(){return ge(Ue(ke,{subscribe:!1,forceRefetch:!0}))},unsubscribe:function(){Ce&&ge(xn({queryCacheKey:Pe,requestId:gr}))},updateSubscriptionOptions:function(pe){V.subscriptionOptions=pe,ge(mn({endpointName:we,requestId:gr,queryCacheKey:Pe,options:pe}))}});if(!Yi&&!kn&&!fe){var X=Sn.get(ge)||{};X[Pe]=V,Sn.set(ge,X),V.then(function(){delete X[Pe],Object.keys(X).length||Sn.delete(ge)})}return V}};return Ue},buildInitiateMutation:function(we){return function(Je,Ue){var ke=Ue===void 0?{}:Ue,He=ke.track,ht=He===void 0||He,Ve=ke.fixedCacheKey;return function(Ce,ue){var Te=ir({type:"mutation",endpointName:we,originalArgs:Je,track:ht,fixedCacheKey:Ve}),fe=Ce(Te),ge=fe.requestId,Ae=fe.abort,et=fe.unwrap,Qe=fe.unwrap().then(function(Gt){return{data:Gt}}).catch(function(Gt){return{error:Gt}}),Pe=function(){Ce(on({requestId:ge,fixedCacheKey:Ve}))},Tt=Object.assign(Qe,{arg:fe.arg,requestId:ge,abort:Ae,unwrap:et,unsubscribe:Pe,reset:Pe}),jt=Mt.get(Ce)||{};return Mt.set(Ce,jt),jt[ge]=Tt,Tt.then(function(){delete jt[ge],Object.keys(jt).length||Mt.delete(Ce)}),Ve&&(jt[Ve]=Tt,Tt.then(function(){jt[Ve]===Tt&&(delete jt[Ve],Object.keys(jt).length||Mt.delete(Ce))})),Tt}}},getRunningQueryThunk:function(we,Je){return function(Ue){var ke,He=hn({queryArgs:Je,endpointDefinition:bi.endpointDefinitions[we],endpointName:we});return(ke=Sn.get(Ue))==null?void 0:ke[He]}},getRunningMutationThunk:function(we,Je){return function(Ue){var ke;return(ke=Mt.get(Ue))==null?void 0:ke[Je]}},getRunningQueriesThunk:function(){return function(we){return Object.values(Sn.get(we)||{}).filter(bt)}},getRunningMutationsThunk:function(){return function(we){return Object.values(Mt.get(we)||{}).filter(bt)}},getRunningOperationPromises:function(){var we=function(Je){return Array.from(Je.values()).flatMap(function(Ue){return Ue?Object.values(Ue):[]})};return i(i([],we(Sn)),we(Mt)).filter(bt)},removalWarning:function(){throw new Error(`This method had to be removed due to a conceptual bug in RTK.
+ Please see https://github.com/reduxjs/redux-toolkit/pull/2481 for details.
+ See https://redux-toolkit.js.org/rtk-query/usage/server-side-rendering for new guidance on SSR.`)}}}({queryThunk:xe,mutationThunk:Ye,api:H,serializeQueryArgs:je,context:re}),bo=Qn.buildInitiateQuery,Ga=Qn.buildInitiateMutation;return yi(H.util,{getRunningOperationPromises:Qn.getRunningOperationPromises,getRunningOperationPromise:Qn.removalWarning,getRunningMutationThunk:Qn.getRunningMutationThunk,getRunningMutationsThunk:Qn.getRunningMutationsThunk,getRunningQueryThunk:Qn.getRunningQueryThunk,getRunningQueriesThunk:Qn.getRunningQueriesThunk}),{name:ua,injectEndpoint:function(it,hn){var rn,ir=H;(rn=ir.endpoints)[it]!=null||(rn[it]={}),ne(hn)?yi(ir.endpoints[it],{name:it,select:Sr(it,hn),initiate:bo(it,hn)},wt(xe,it)):hn.type===J.mutation&&yi(ir.endpoints[it],{name:it,select:vi(),initiate:Ga(it)},wt(Ye,it))}}}}},hl=yo(ni())})(Zz);Yz.exports=Zz;var Lde=Yz.exports;const Jz=sl(),ej=z.enum(["BoardField","boolean","BooleanCollection","BooleanPolymorphic","ClipField","Collection","CollectionItem","ColorCollection","ColorField","ColorPolymorphic","ConditioningCollection","ConditioningField","ConditioningPolymorphic","ControlCollection","ControlField","ControlNetModelField","ControlPolymorphic","DenoiseMaskField","enum","float","FloatCollection","FloatPolymorphic","ImageCollection","ImageField","ImagePolymorphic","integer","IntegerCollection","IntegerPolymorphic","IPAdapterCollection","IPAdapterField","IPAdapterModelField","IPAdapterPolymorphic","LatentsCollection","LatentsField","LatentsPolymorphic","LoRAModelField","MainModelField","ONNXModelField","Scheduler","SDXLMainModelField","SDXLRefinerModelField","string","StringCollection","StringPolymorphic","T2IAdapterCollection","T2IAdapterField","T2IAdapterModelField","T2IAdapterPolymorphic","UNetField","VaeField","VaeModelField"]),Fde=z.enum(["WorkflowField","IsIntermediate","MetadataField"]),rR=e=>ej.safeParse(e).success||Fde.safeParse(e).success;z.enum(["connection","direct","any"]);const tj=z.object({id:z.string().trim().min(1),name:z.string().trim().min(1),type:ej}),Bde=tj.extend({fieldKind:z.literal("output")}),at=tj.extend({fieldKind:z.literal("input"),label:z.string()}),ou=z.object({model_name:z.string().trim().min(1),base_model:kc}),wp=z.object({image_name:z.string().trim().min(1)}),zde=z.object({board_id:z.string().trim().min(1)}),C_=z.object({latents_name:z.string().trim().min(1),seed:z.number().int().optional()}),A_=z.object({conditioning_name:z.string().trim().min(1)}),jde=z.object({mask_name:z.string().trim().min(1),masked_latents_name:z.string().trim().min(1).optional()}),Ude=at.extend({type:z.literal("integer"),value:z.number().int().optional()}),Vde=at.extend({type:z.literal("IntegerCollection"),value:z.array(z.number().int()).optional()}),Gde=at.extend({type:z.literal("IntegerPolymorphic"),value:z.number().int().optional()}),qde=at.extend({type:z.literal("float"),value:z.number().optional()}),Hde=at.extend({type:z.literal("FloatCollection"),value:z.array(z.number()).optional()}),Wde=at.extend({type:z.literal("FloatPolymorphic"),value:z.number().optional()}),Kde=at.extend({type:z.literal("string"),value:z.string().optional()}),Qde=at.extend({type:z.literal("StringCollection"),value:z.array(z.string()).optional()}),Xde=at.extend({type:z.literal("StringPolymorphic"),value:z.string().optional()}),Yde=at.extend({type:z.literal("boolean"),value:z.boolean().optional()}),Zde=at.extend({type:z.literal("BooleanCollection"),value:z.array(z.boolean()).optional()}),Jde=at.extend({type:z.literal("BooleanPolymorphic"),value:z.boolean().optional()}),efe=at.extend({type:z.literal("enum"),value:z.string().optional()}),tfe=at.extend({type:z.literal("LatentsField"),value:C_.optional()}),nfe=at.extend({type:z.literal("LatentsCollection"),value:z.array(C_).optional()}),rfe=at.extend({type:z.literal("LatentsPolymorphic"),value:z.union([C_,z.array(C_)]).optional()}),ife=at.extend({type:z.literal("DenoiseMaskField"),value:jde.optional()}),ofe=at.extend({type:z.literal("ConditioningField"),value:A_.optional()}),afe=at.extend({type:z.literal("ConditioningCollection"),value:z.array(A_).optional()}),sfe=at.extend({type:z.literal("ConditioningPolymorphic"),value:z.union([A_,z.array(A_)]).optional()}),lfe=ou,l0=z.object({image:wp,control_model:lfe,control_weight:z.union([z.number(),z.array(z.number())]).optional(),begin_step_percent:z.number().optional(),end_step_percent:z.number().optional(),control_mode:z.enum(["balanced","more_prompt","more_control","unbalanced"]).optional(),resize_mode:z.enum(["just_resize","crop_resize","fill_resize","just_resize_simple"]).optional()}),ufe=at.extend({type:z.literal("ControlField"),value:l0.optional()}),cfe=at.extend({type:z.literal("ControlPolymorphic"),value:z.union([l0,z.array(l0)]).optional()}),dfe=at.extend({type:z.literal("ControlCollection"),value:z.array(l0).optional()}),ffe=ou,u0=z.object({image:wp,ip_adapter_model:ffe,weight:z.number(),begin_step_percent:z.number().optional(),end_step_percent:z.number().optional()}),hfe=at.extend({type:z.literal("IPAdapterField"),value:u0.optional()}),pfe=at.extend({type:z.literal("IPAdapterPolymorphic"),value:z.union([u0,z.array(u0)]).optional()}),gfe=at.extend({type:z.literal("IPAdapterCollection"),value:z.array(u0).optional()}),mfe=ou,c0=z.object({image:wp,t2i_adapter_model:mfe,weight:z.union([z.number(),z.array(z.number())]).optional(),begin_step_percent:z.number().optional(),end_step_percent:z.number().optional(),resize_mode:z.enum(["just_resize","crop_resize","fill_resize","just_resize_simple"]).optional()}),yfe=at.extend({type:z.literal("T2IAdapterField"),value:c0.optional()}),vfe=at.extend({type:z.literal("T2IAdapterPolymorphic"),value:z.union([c0,z.array(c0)]).optional()}),bfe=at.extend({type:z.literal("T2IAdapterCollection"),value:z.array(c0).optional()}),_fe=z.enum(["onnx","main","vae","lora","controlnet","embedding"]),Sfe=z.enum(["unet","text_encoder","text_encoder_2","tokenizer","tokenizer_2","vae","vae_decoder","vae_encoder","scheduler","safety_checker"]),tp=ou.extend({model_type:_fe,submodel:Sfe.optional()}),nj=tp.extend({weight:z.number().optional()}),xfe=z.object({unet:tp,scheduler:tp,loras:z.array(nj)}),wfe=at.extend({type:z.literal("UNetField"),value:xfe.optional()}),Cfe=z.object({tokenizer:tp,text_encoder:tp,skipped_layers:z.number(),loras:z.array(nj)}),Afe=at.extend({type:z.literal("ClipField"),value:Cfe.optional()}),Efe=z.object({vae:tp}),Tfe=at.extend({type:z.literal("VaeField"),value:Efe.optional()}),kfe=at.extend({type:z.literal("ImageField"),value:wp.optional()}),Pfe=at.extend({type:z.literal("BoardField"),value:zde.optional()}),Ife=at.extend({type:z.literal("ImagePolymorphic"),value:wp.optional()}),Rfe=at.extend({type:z.literal("ImageCollection"),value:z.array(wp).optional()}),Ofe=at.extend({type:z.literal("MainModelField"),value:by.optional()}),Mfe=at.extend({type:z.literal("SDXLMainModelField"),value:by.optional()}),$fe=at.extend({type:z.literal("SDXLRefinerModelField"),value:by.optional()}),rj=ou,Nfe=at.extend({type:z.literal("VaeModelField"),value:rj.optional()}),ij=ou,Dfe=at.extend({type:z.literal("LoRAModelField"),value:ij.optional()}),Lfe=ou,Ffe=at.extend({type:z.literal("ControlNetModelField"),value:Lfe.optional()}),Bfe=ou,zfe=at.extend({type:z.literal("IPAdapterModelField"),value:Bfe.optional()}),jfe=ou,Ufe=at.extend({type:z.literal("T2IAdapterModelField"),value:jfe.optional()}),Vfe=at.extend({type:z.literal("Collection"),value:z.array(z.any()).optional()}),Gfe=at.extend({type:z.literal("CollectionItem"),value:z.any().optional()}),E_=z.object({r:z.number().int().min(0).max(255),g:z.number().int().min(0).max(255),b:z.number().int().min(0).max(255),a:z.number().int().min(0).max(255)}),qfe=at.extend({type:z.literal("ColorField"),value:E_.optional()}),Hfe=at.extend({type:z.literal("ColorCollection"),value:z.array(E_).optional()}),Wfe=at.extend({type:z.literal("ColorPolymorphic"),value:z.union([E_,z.array(E_)]).optional()}),Kfe=at.extend({type:z.literal("Scheduler"),value:oz.optional()}),Qfe=z.discriminatedUnion("type",[Pfe,Zde,Yde,Jde,Afe,Vfe,Gfe,qfe,Hfe,Wfe,ofe,afe,sfe,ufe,Ffe,dfe,cfe,ife,efe,Hde,qde,Wde,Rfe,Ife,kfe,Vde,Gde,Ude,hfe,zfe,gfe,pfe,tfe,nfe,rfe,Dfe,Ofe,Kfe,Mfe,$fe,Qde,Xde,Kde,yfe,Ufe,bfe,vfe,wfe,Tfe,Nfe]),hqe=e=>!!(e&&e.fieldKind==="input"),pqe=e=>!!(e&&e.fieldKind==="input"),Xfe=e=>!!(e&&!("$ref"in e)),iR=e=>!!(e&&!("$ref"in e)&&e.type==="array"),Ov=e=>!!(e&&!("$ref"in e)&&e.type!=="array"),eg=e=>!!(e&&"$ref"in e),Yfe=e=>"class"in e&&e.class==="invocation",Zfe=e=>"class"in e&&e.class==="output",oR=e=>!("$ref"in 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Phe=Ahe,Ihe=Aj,Rhe=The,Ohe=khe,Mhe=Ehe,$he={_tr_init:Phe,_tr_stored_block:Ihe,_tr_flush_block:Rhe,_tr_tally:Ohe,_tr_align:Mhe};const Nhe=(e,t,n,r)=>{let i=e&65535|0,o=e>>>16&65535|0,a=0;for(;n!==0;){a=n>2e3?2e3:n,n-=a;do i=i+t[r++]|0,o=o+i|0;while(--a);i%=65521,o%=65521}return i|o<<16|0};var g0=Nhe;const Dhe=()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},Lhe=new Uint32Array(Dhe()),Fhe=(e,t,n,r)=>{const i=Lhe,o=r+n;e^=-1;for(let a=r;a<o;a++)e=e>>>8^i[(e^t[a])&255];return e^-1};var ai=Fhe,np={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"},Sy={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:Bhe,_tr_stored_block:EA,_tr_flush_block:zhe,_tr_tally:Zu,_tr_align:jhe}=$he,{Z_NO_FLUSH:Ju,Z_PARTIAL_FLUSH:Uhe,Z_FULL_FLUSH:Vhe,Z_FINISH:xa,Z_BLOCK:gR,Z_OK:Ai,Z_STREAM_END:mR,Z_STREAM_ERROR:Ws,Z_DATA_ERROR:Ghe,Z_BUF_ERROR:PC,Z_DEFAULT_COMPRESSION:qhe,Z_FILTERED:Hhe,Z_HUFFMAN_ONLY:Mv,Z_RLE:Whe,Z_FIXED:Khe,Z_DEFAULT_STRATEGY:Qhe,Z_UNKNOWN:Xhe,Z_DEFLATED:$2}=Sy,Yhe=9,Zhe=15,Jhe=8,epe=29,tpe=256,TA=tpe+1+epe,npe=30,rpe=19,ipe=2*TA+1,ope=15,Bt=3,ju=258,Ks=ju+Bt+1,ape=32,rp=42,a4=57,kA=69,PA=73,IA=91,RA=103,cd=113,Eg=666,oo=1,Ap=2,Ld=3,Ep=4,spe=3,dd=(e,t)=>(e.msg=np[t],t),yR=e=>e*2-(e>4?9:0),Ou=e=>{let t=e.length;for(;--t>=0;)e[t]=0},lpe=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let upe=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask,ec=upe;const Uo=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},Yo=(e,t)=>{zhe(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,Uo(e.strm)},an=(e,t)=>{e.pending_buf[e.pending++]=t},tg=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},OA=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=g0(e.adler,t,i,n):e.state.wrap===2&&(e.adler=ai(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},Ej=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,a=e.prev_length,s=e.nice_match;const l=e.strstart>e.w_size-Ks?e.strstart-(e.w_size-Ks):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+ju;let h=u[r+a-1],p=u[r+a];e.prev_length>=e.good_match&&(n>>=2),s>e.lookahead&&(s=e.lookahead);do if(i=t,!(u[i+a]!==p||u[i+a-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&r<f);if(o=ju-(f-r),r=f-ju,o>a){if(e.match_start=t,a=o,o>=s)break;h=u[r+a-1],p=u[r+a]}}while((t=d[t&c])>l&&--n!==0);return a<=e.lookahead?a:e.lookahead},ip=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-Ks)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),lpe(e),r+=t),e.strm.avail_in===0)break;if(n=OA(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=Bt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=ec(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=ec(e,e.ins_h,e.window[i+Bt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<Bt)););}while(e.lookahead<Ks&&e.strm.avail_in!==0)},Tj=(e,t)=>{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,a=0,s=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_out<o||(o=e.strm.avail_out-o,i=e.strstart-e.block_start,r>i+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r<n&&(r===0&&t!==xa||t===Ju||r!==i+e.strm.avail_in)))break;a=t===xa&&r===i+e.strm.avail_in?1:0,EA(e,0,0,a),e.pending_buf[e.pending-4]=r,e.pending_buf[e.pending-3]=r>>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,Uo(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(OA(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(a===0);return s-=e.strm.avail_in,s&&(s>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=s&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-s,e.strm.next_in),e.strstart),e.strstart+=s,e.insert+=s>e.w_size-e.insert?e.w_size-e.insert:s),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),a?Ep:t!==Ju&&t!==xa&&e.strm.avail_in===0&&e.strstart===e.block_start?Ap:(o=e.window_size-e.strstart,e.strm.avail_in>o&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(OA(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water<e.strstart&&(e.high_water=e.strstart),o=e.bi_valid+42>>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===xa)&&t!==Ju&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,a=t===xa&&e.strm.avail_in===0&&r===i?1:0,EA(e,e.block_start,r,a),e.block_start+=r,Uo(e.strm)),a?Ld:oo)},IC=(e,t)=>{let n,r;for(;;){if(e.lookahead<Ks){if(ip(e),e.lookahead<Ks&&t===Ju)return oo;if(e.lookahead===0)break}if(n=0,e.lookahead>=Bt&&(e.ins_h=ec(e,e.ins_h,e.window[e.strstart+Bt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-Ks&&(e.match_length=Ej(e,n)),e.match_length>=Bt)if(r=Zu(e,e.strstart-e.match_start,e.match_length-Bt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=Bt){e.match_length--;do e.strstart++,e.ins_h=ec(e,e.ins_h,e.window[e.strstart+Bt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=ec(e,e.ins_h,e.window[e.strstart+1]);else r=Zu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(Yo(e,!1),e.strm.avail_out===0))return oo}return e.insert=e.strstart<Bt-1?e.strstart:Bt-1,t===xa?(Yo(e,!0),e.strm.avail_out===0?Ld:Ep):e.sym_next&&(Yo(e,!1),e.strm.avail_out===0)?oo:Ap},gf=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<Ks){if(ip(e),e.lookahead<Ks&&t===Ju)return oo;if(e.lookahead===0)break}if(n=0,e.lookahead>=Bt&&(e.ins_h=ec(e,e.ins_h,e.window[e.strstart+Bt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=Bt-1,n!==0&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-Ks&&(e.match_length=Ej(e,n),e.match_length<=5&&(e.strategy===Hhe||e.match_length===Bt&&e.strstart-e.match_start>4096)&&(e.match_length=Bt-1)),e.prev_length>=Bt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-Bt,r=Zu(e,e.strstart-1-e.prev_match,e.prev_length-Bt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=ec(e,e.ins_h,e.window[e.strstart+Bt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=Bt-1,e.strstart++,r&&(Yo(e,!1),e.strm.avail_out===0))return oo}else if(e.match_available){if(r=Zu(e,0,e.window[e.strstart-1]),r&&Yo(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return oo}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=Zu(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<Bt-1?e.strstart:Bt-1,t===xa?(Yo(e,!0),e.strm.avail_out===0?Ld:Ep):e.sym_next&&(Yo(e,!1),e.strm.avail_out===0)?oo:Ap},cpe=(e,t)=>{let n,r,i,o;const a=e.window;for(;;){if(e.lookahead<=ju){if(ip(e),e.lookahead<=ju&&t===Ju)return oo;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=Bt&&e.strstart>0&&(i=e.strstart-1,r=a[i],r===a[++i]&&r===a[++i]&&r===a[++i])){o=e.strstart+ju;do;while(r===a[++i]&&r===a[++i]&&r===a[++i]&&r===a[++i]&&r===a[++i]&&r===a[++i]&&r===a[++i]&&r===a[++i]&&i<o);e.match_length=ju-(o-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=Bt?(n=Zu(e,1,e.match_length-Bt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=Zu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(Yo(e,!1),e.strm.avail_out===0))return oo}return e.insert=0,t===xa?(Yo(e,!0),e.strm.avail_out===0?Ld:Ep):e.sym_next&&(Yo(e,!1),e.strm.avail_out===0)?oo:Ap},dpe=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(ip(e),e.lookahead===0)){if(t===Ju)return oo;break}if(e.match_length=0,n=Zu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(Yo(e,!1),e.strm.avail_out===0))return oo}return e.insert=0,t===xa?(Yo(e,!0),e.strm.avail_out===0?Ld:Ep):e.sym_next&&(Yo(e,!1),e.strm.avail_out===0)?oo:Ap};function xs(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const Tg=[new xs(0,0,0,0,Tj),new xs(4,4,8,4,IC),new xs(4,5,16,8,IC),new xs(4,6,32,32,IC),new xs(4,4,16,16,gf),new xs(8,16,32,32,gf),new xs(8,16,128,128,gf),new xs(8,32,128,256,gf),new xs(32,128,258,1024,gf),new xs(32,258,258,4096,gf)],fpe=e=>{e.window_size=2*e.w_size,Ou(e.head),e.max_lazy_match=Tg[e.level].max_lazy,e.good_match=Tg[e.level].good_length,e.nice_match=Tg[e.level].nice_length,e.max_chain_length=Tg[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=Bt-1,e.match_available=0,e.ins_h=0};function hpe(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=$2,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(ipe*2),this.dyn_dtree=new Uint16Array((2*npe+1)*2),this.bl_tree=new Uint16Array((2*rpe+1)*2),Ou(this.dyn_ltree),Ou(this.dyn_dtree),Ou(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(ope+1),this.heap=new Uint16Array(2*TA+1),Ou(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*TA+1),Ou(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const xy=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==rp&&t.status!==a4&&t.status!==kA&&t.status!==PA&&t.status!==IA&&t.status!==RA&&t.status!==cd&&t.status!==Eg?1:0},kj=e=>{if(xy(e))return dd(e,Ws);e.total_in=e.total_out=0,e.data_type=Xhe;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?a4:t.wrap?rp:cd,e.adler=t.wrap===2?0:1,t.last_flush=-2,Bhe(t),Ai},Pj=e=>{const t=kj(e);return t===Ai&&fpe(e.state),t},ppe=(e,t)=>xy(e)||e.state.wrap!==2?Ws:(e.state.gzhead=t,Ai),Ij=(e,t,n,r,i,o)=>{if(!e)return Ws;let a=1;if(t===qhe&&(t=6),r<0?(a=0,r=-r):r>15&&(a=2,r-=16),i<1||i>Yhe||n!==$2||r<8||r>15||t<0||t>9||o<0||o>Khe||r===8&&a!==1)return dd(e,Ws);r===8&&(r=9);const s=new hpe;return e.state=s,s.strm=e,s.status=rp,s.wrap=a,s.gzhead=null,s.w_bits=r,s.w_size=1<<s.w_bits,s.w_mask=s.w_size-1,s.hash_bits=i+7,s.hash_size=1<<s.hash_bits,s.hash_mask=s.hash_size-1,s.hash_shift=~~((s.hash_bits+Bt-1)/Bt),s.window=new Uint8Array(s.w_size*2),s.head=new Uint16Array(s.hash_size),s.prev=new Uint16Array(s.w_size),s.lit_bufsize=1<<i+6,s.pending_buf_size=s.lit_bufsize*4,s.pending_buf=new Uint8Array(s.pending_buf_size),s.sym_buf=s.lit_bufsize,s.sym_end=(s.lit_bufsize-1)*3,s.level=t,s.strategy=o,s.method=n,Pj(e)},gpe=(e,t)=>Ij(e,t,$2,Zhe,Jhe,Qhe),mpe=(e,t)=>{if(xy(e)||t>gR||t<0)return e?dd(e,Ws):Ws;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===Eg&&t!==xa)return dd(e,e.avail_out===0?PC:Ws);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(Uo(e),e.avail_out===0)return n.last_flush=-1,Ai}else if(e.avail_in===0&&yR(t)<=yR(r)&&t!==xa)return dd(e,PC);if(n.status===Eg&&e.avail_in!==0)return dd(e,PC);if(n.status===rp&&n.wrap===0&&(n.status=cd),n.status===rp){let i=$2+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=Mv||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=ape),i+=31-i%31,tg(n,i),n.strstart!==0&&(tg(n,e.adler>>>16),tg(n,e.adler&65535)),e.adler=1,n.status=cd,Uo(e),n.pending!==0)return n.last_flush=-1,Ai}if(n.status===a4){if(e.adler=0,an(n,31),an(n,139),an(n,8),n.gzhead)an(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),an(n,n.gzhead.time&255),an(n,n.gzhead.time>>8&255),an(n,n.gzhead.time>>16&255),an(n,n.gzhead.time>>24&255),an(n,n.level===9?2:n.strategy>=Mv||n.level<2?4:0),an(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(an(n,n.gzhead.extra.length&255),an(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=ai(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=kA;else if(an(n,0),an(n,0),an(n,0),an(n,0),an(n,0),an(n,n.level===9?2:n.strategy>=Mv||n.level<2?4:0),an(n,spe),n.status=cd,Uo(e),n.pending!==0)return n.last_flush=-1,Ai}if(n.status===kA){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let s=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+s),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=ai(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=s,Uo(e),n.pending!==0)return n.last_flush=-1,Ai;i=0,o-=s}let a=new Uint8Array(n.gzhead.extra);n.pending_buf.set(a.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=ai(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=PA}if(n.status===PA){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=ai(e.adler,n.pending_buf,n.pending-i,i)),Uo(e),n.pending!==0)return n.last_flush=-1,Ai;i=0}n.gzindex<n.gzhead.name.length?o=n.gzhead.name.charCodeAt(n.gzindex++)&255:o=0,an(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=ai(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=IA}if(n.status===IA){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=ai(e.adler,n.pending_buf,n.pending-i,i)),Uo(e),n.pending!==0)return n.last_flush=-1,Ai;i=0}n.gzindex<n.gzhead.comment.length?o=n.gzhead.comment.charCodeAt(n.gzindex++)&255:o=0,an(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=ai(e.adler,n.pending_buf,n.pending-i,i))}n.status=RA}if(n.status===RA){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(Uo(e),n.pending!==0))return n.last_flush=-1,Ai;an(n,e.adler&255),an(n,e.adler>>8&255),e.adler=0}if(n.status=cd,Uo(e),n.pending!==0)return n.last_flush=-1,Ai}if(e.avail_in!==0||n.lookahead!==0||t!==Ju&&n.status!==Eg){let i=n.level===0?Tj(n,t):n.strategy===Mv?dpe(n,t):n.strategy===Whe?cpe(n,t):Tg[n.level].func(n,t);if((i===Ld||i===Ep)&&(n.status=Eg),i===oo||i===Ld)return e.avail_out===0&&(n.last_flush=-1),Ai;if(i===Ap&&(t===Uhe?jhe(n):t!==gR&&(EA(n,0,0,!1),t===Vhe&&(Ou(n.head),n.lookahead===0&&(n.strstart=0,n.block_start=0,n.insert=0))),Uo(e),e.avail_out===0))return n.last_flush=-1,Ai}return t!==xa?Ai:n.wrap<=0?mR:(n.wrap===2?(an(n,e.adler&255),an(n,e.adler>>8&255),an(n,e.adler>>16&255),an(n,e.adler>>24&255),an(n,e.total_in&255),an(n,e.total_in>>8&255),an(n,e.total_in>>16&255),an(n,e.total_in>>24&255)):(tg(n,e.adler>>>16),tg(n,e.adler&65535)),Uo(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?Ai:mR)},ype=e=>{if(xy(e))return Ws;const t=e.state.status;return e.state=null,t===cd?dd(e,Ghe):Ai},vpe=(e,t)=>{let n=t.length;if(xy(e))return Ws;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==rp||r.lookahead)return Ws;if(i===1&&(e.adler=g0(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(Ou(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,a=e.next_in,s=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,ip(r);r.lookahead>=Bt;){let l=r.strstart,u=r.lookahead-(Bt-1);do r.ins_h=ec(r,r.ins_h,r.window[l+Bt-1]),r.prev[l&r.w_mask]=r.head[r.ins_h],r.head[r.ins_h]=l,l++;while(--u);r.strstart=l,r.lookahead=Bt-1,ip(r)}return r.strstart+=r.lookahead,r.block_start=r.strstart,r.insert=r.lookahead,r.lookahead=0,r.match_length=r.prev_length=Bt-1,r.match_available=0,e.next_in=a,e.input=s,e.avail_in=o,r.wrap=i,Ai};var bpe=gpe,_pe=Ij,Spe=Pj,xpe=kj,wpe=ppe,Cpe=mpe,Ape=ype,Epe=vpe,Tpe="pako deflate (from Nodeca project)",nm={deflateInit:bpe,deflateInit2:_pe,deflateReset:Spe,deflateResetKeep:xpe,deflateSetHeader:wpe,deflate:Cpe,deflateEnd:Ape,deflateSetDictionary:Epe,deflateInfo:Tpe};const kpe=(e,t)=>Object.prototype.hasOwnProperty.call(e,t);var Ppe=function(e){const t=Array.prototype.slice.call(arguments,1);for(;t.length;){const n=t.shift();if(n){if(typeof n!="object")throw new TypeError(n+"must be non-object");for(const r in n)kpe(n,r)&&(e[r]=n[r])}}return e},Ipe=e=>{let t=0;for(let r=0,i=e.length;r<i;r++)t+=e[r].length;const n=new Uint8Array(t);for(let r=0,i=0,o=e.length;r<o;r++){let a=e[r];n.set(a,i),i+=a.length}return n},N2={assign:Ppe,flattenChunks:Ipe};let Rj=!0;try{String.fromCharCode.apply(null,new Uint8Array(1))}catch{Rj=!1}const m0=new Uint8Array(256);for(let e=0;e<256;e++)m0[e]=e>=252?6:e>=248?5:e>=240?4:e>=224?3:e>=192?2:1;m0[254]=m0[254]=1;var Rpe=e=>{if(typeof TextEncoder=="function"&&TextEncoder.prototype.encode)return new TextEncoder().encode(e);let t,n,r,i,o,a=e.length,s=0;for(i=0;i<a;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<a&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),s+=n<128?1:n<2048?2:n<65536?3:4;for(t=new Uint8Array(s),o=0,i=0;o<s;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<a&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),n<128?t[o++]=n:n<2048?(t[o++]=192|n>>>6,t[o++]=128|n&63):n<65536?(t[o++]=224|n>>>12,t[o++]=128|n>>>6&63,t[o++]=128|n&63):(t[o++]=240|n>>>18,t[o++]=128|n>>>12&63,t[o++]=128|n>>>6&63,t[o++]=128|n&63);return t};const Ope=(e,t)=>{if(t<65534&&e.subarray&&Rj)return String.fromCharCode.apply(null,e.length===t?e:e.subarray(0,t));let n="";for(let r=0;r<t;r++)n+=String.fromCharCode(e[r]);return n};var Mpe=(e,t)=>{const n=t||e.length;if(typeof TextDecoder=="function"&&TextDecoder.prototype.decode)return new TextDecoder().decode(e.subarray(0,t));let r,i;const o=new Array(n*2);for(i=0,r=0;r<n;){let a=e[r++];if(a<128){o[i++]=a;continue}let s=m0[a];if(s>4){o[i++]=65533,r+=s-1;continue}for(a&=s===2?31:s===3?15:7;s>1&&r<n;)a=a<<6|e[r++]&63,s--;if(s>1){o[i++]=65533;continue}a<65536?o[i++]=a:(a-=65536,o[i++]=55296|a>>10&1023,o[i++]=56320|a&1023)}return Ope(o,i)},$pe=(e,t)=>{t=t||e.length,t>e.length&&(t=e.length);let n=t-1;for(;n>=0&&(e[n]&192)===128;)n--;return n<0||n===0?t:n+m0[e[n]]>t?n:t},y0={string2buf:Rpe,buf2string:Mpe,utf8border:$pe};function Npe(){this.input=null,this.next_in=0,this.avail_in=0,this.total_in=0,this.output=null,this.next_out=0,this.avail_out=0,this.total_out=0,this.msg="",this.state=null,this.data_type=2,this.adler=0}var Oj=Npe;const Mj=Object.prototype.toString,{Z_NO_FLUSH:Dpe,Z_SYNC_FLUSH:Lpe,Z_FULL_FLUSH:Fpe,Z_FINISH:Bpe,Z_OK:P_,Z_STREAM_END:zpe,Z_DEFAULT_COMPRESSION:jpe,Z_DEFAULT_STRATEGY:Upe,Z_DEFLATED:Vpe}=Sy;function s4(e){this.options=N2.assign({level:jpe,method:Vpe,chunkSize:16384,windowBits:15,memLevel:8,strategy:Upe},e||{});let t=this.options;t.raw&&t.windowBits>0?t.windowBits=-t.windowBits:t.gzip&&t.windowBits>0&&t.windowBits<16&&(t.windowBits+=16),this.err=0,this.msg="",this.ended=!1,this.chunks=[],this.strm=new Oj,this.strm.avail_out=0;let n=nm.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==P_)throw new Error(np[n]);if(t.header&&nm.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=y0.string2buf(t.dictionary):Mj.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=nm.deflateSetDictionary(this.strm,r),n!==P_)throw new Error(np[n]);this._dict_set=!0}}s4.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?Bpe:Dpe,typeof e=="string"?n.input=y0.string2buf(e):Mj.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===Lpe||o===Fpe)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=nm.deflate(n,o),i===zpe)return n.next_out>0&&this.onData(n.output.subarray(0,n.next_out)),i=nm.deflateEnd(this.strm),this.onEnd(i),this.ended=!0,i===P_;if(n.avail_out===0){this.onData(n.output);continue}if(o>0&&n.next_out>0){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(n.avail_in===0)break}return!0};s4.prototype.onData=function(e){this.chunks.push(e)};s4.prototype.onEnd=function(e){e===P_&&(this.result=N2.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};const $v=16209,Gpe=16191;var qpe=function(t,n){let r,i,o,a,s,l,u,c,d,f,h,p,m,_,b,y,g,v,S,w,x,C,T,E;const P=t.state;r=t.next_in,T=t.input,i=r+(t.avail_in-5),o=t.next_out,E=t.output,a=o-(n-t.avail_out),s=o+(t.avail_out-257),l=P.dmax,u=P.wsize,c=P.whave,d=P.wnext,f=P.window,h=P.hold,p=P.bits,m=P.lencode,_=P.distcode,b=(1<<P.lenbits)-1,y=(1<<P.distbits)-1;e:do{p<15&&(h+=T[r++]<<p,p+=8,h+=T[r++]<<p,p+=8),g=m[h&b];t:for(;;){if(v=g>>>24,h>>>=v,p-=v,v=g>>>16&255,v===0)E[o++]=g&65535;else if(v&16){S=g&65535,v&=15,v&&(p<v&&(h+=T[r++]<<p,p+=8),S+=h&(1<<v)-1,h>>>=v,p-=v),p<15&&(h+=T[r++]<<p,p+=8,h+=T[r++]<<p,p+=8),g=_[h&y];n:for(;;){if(v=g>>>24,h>>>=v,p-=v,v=g>>>16&255,v&16){if(w=g&65535,v&=15,p<v&&(h+=T[r++]<<p,p+=8,p<v&&(h+=T[r++]<<p,p+=8)),w+=h&(1<<v)-1,w>l){t.msg="invalid distance too far back",P.mode=$v;break e}if(h>>>=v,p-=v,v=o-a,w>v){if(v=w-v,v>c&&P.sane){t.msg="invalid distance too far back",P.mode=$v;break e}if(x=0,C=f,d===0){if(x+=u-v,v<S){S-=v;do E[o++]=f[x++];while(--v);x=o-w,C=E}}else if(d<v){if(x+=u+d-v,v-=d,v<S){S-=v;do E[o++]=f[x++];while(--v);if(x=0,d<S){v=d,S-=v;do E[o++]=f[x++];while(--v);x=o-w,C=E}}}else if(x+=d-v,v<S){S-=v;do E[o++]=f[x++];while(--v);x=o-w,C=E}for(;S>2;)E[o++]=C[x++],E[o++]=C[x++],E[o++]=C[x++],S-=3;S&&(E[o++]=C[x++],S>1&&(E[o++]=C[x++]))}else{x=o-w;do E[o++]=E[x++],E[o++]=E[x++],E[o++]=E[x++],S-=3;while(S>2);S&&(E[o++]=E[x++],S>1&&(E[o++]=E[x++]))}}else if(v&64){t.msg="invalid distance code",P.mode=$v;break e}else{g=_[(g&65535)+(h&(1<<v)-1)];continue n}break}}else if(v&64)if(v&32){P.mode=Gpe;break e}else{t.msg="invalid literal/length code",P.mode=$v;break e}else{g=m[(g&65535)+(h&(1<<v)-1)];continue t}break}}while(r<i&&o<s);S=p>>3,r-=S,p-=S<<3,h&=(1<<p)-1,t.next_in=r,t.next_out=o,t.avail_in=r<i?5+(i-r):5-(r-i),t.avail_out=o<s?257+(s-o):257-(o-s),P.hold=h,P.bits=p};const mf=15,vR=852,bR=592,_R=0,RC=1,SR=2,Hpe=new Uint16Array([3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0]),Wpe=new Uint8Array([16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78]),Kpe=new Uint16Array([1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0]),Qpe=new Uint8Array([16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64]),Xpe=(e,t,n,r,i,o,a,s)=>{const l=s.bits;let u=0,c=0,d=0,f=0,h=0,p=0,m=0,_=0,b=0,y=0,g,v,S,w,x,C=null,T;const E=new Uint16Array(mf+1),P=new Uint16Array(mf+1);let N=null,O,A,k;for(u=0;u<=mf;u++)E[u]=0;for(c=0;c<r;c++)E[t[n+c]]++;for(h=l,f=mf;f>=1&&E[f]===0;f--);if(h>f&&(h=f),f===0)return i[o++]=1<<24|64<<16|0,i[o++]=1<<24|64<<16|0,s.bits=1,0;for(d=1;d<f&&E[d]===0;d++);for(h<d&&(h=d),_=1,u=1;u<=mf;u++)if(_<<=1,_-=E[u],_<0)return-1;if(_>0&&(e===_R||f!==1))return-1;for(P[1]=0,u=1;u<mf;u++)P[u+1]=P[u]+E[u];for(c=0;c<r;c++)t[n+c]!==0&&(a[P[t[n+c]]++]=c);if(e===_R?(C=N=a,T=20):e===RC?(C=Hpe,N=Wpe,T=257):(C=Kpe,N=Qpe,T=0),y=0,c=0,u=d,x=o,p=h,m=0,S=-1,b=1<<h,w=b-1,e===RC&&b>vR||e===SR&&b>bR)return 1;for(;;){O=u-m,a[c]+1<T?(A=0,k=a[c]):a[c]>=T?(A=N[a[c]-T],k=C[a[c]-T]):(A=32+64,k=0),g=1<<u-m,v=1<<p,d=v;do v-=g,i[x+(y>>m)+v]=O<<24|A<<16|k|0;while(v!==0);for(g=1<<u-1;y&g;)g>>=1;if(g!==0?(y&=g-1,y+=g):y=0,c++,--E[u]===0){if(u===f)break;u=t[n+a[c]]}if(u>h&&(y&w)!==S){for(m===0&&(m=h),x+=d,p=u-m,_=1<<p;p+m<f&&(_-=E[p+m],!(_<=0));)p++,_<<=1;if(b+=1<<p,e===RC&&b>vR||e===SR&&b>bR)return 1;S=y&w,i[S]=h<<24|p<<16|x-o|0}}return y!==0&&(i[x+y]=u-m<<24|64<<16|0),s.bits=h,0};var rm=Xpe;const Ype=0,$j=1,Nj=2,{Z_FINISH:xR,Z_BLOCK:Zpe,Z_TREES:Nv,Z_OK:Fd,Z_STREAM_END:Jpe,Z_NEED_DICT:ege,Z_STREAM_ERROR:Ia,Z_DATA_ERROR:Dj,Z_MEM_ERROR:Lj,Z_BUF_ERROR:tge,Z_DEFLATED:wR}=Sy,D2=16180,CR=16181,AR=16182,ER=16183,TR=16184,kR=16185,PR=16186,IR=16187,RR=16188,OR=16189,I_=16190,pl=16191,OC=16192,MR=16193,MC=16194,$R=16195,NR=16196,DR=16197,LR=16198,Dv=16199,Lv=16200,FR=16201,BR=16202,zR=16203,jR=16204,UR=16205,$C=16206,VR=16207,GR=16208,Zn=16209,Fj=16210,Bj=16211,nge=852,rge=592,ige=15,oge=ige,qR=e=>(e>>>24&255)+(e>>>8&65280)+((e&65280)<<8)+((e&255)<<24);function age(){this.strm=null,this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new Uint16Array(320),this.work=new Uint16Array(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}const Qd=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.mode<D2||t.mode>Bj?1:0},zj=e=>{if(Qd(e))return Ia;const t=e.state;return e.total_in=e.total_out=t.total=0,e.msg="",t.wrap&&(e.adler=t.wrap&1),t.mode=D2,t.last=0,t.havedict=0,t.flags=-1,t.dmax=32768,t.head=null,t.hold=0,t.bits=0,t.lencode=t.lendyn=new Int32Array(nge),t.distcode=t.distdyn=new Int32Array(rge),t.sane=1,t.back=-1,Fd},jj=e=>{if(Qd(e))return Ia;const t=e.state;return t.wsize=0,t.whave=0,t.wnext=0,zj(e)},Uj=(e,t)=>{let n;if(Qd(e))return Ia;const r=e.state;return t<0?(n=0,t=-t):(n=(t>>4)+5,t<48&&(t&=15)),t&&(t<8||t>15)?Ia:(r.window!==null&&r.wbits!==t&&(r.window=null),r.wrap=n,r.wbits=t,jj(e))},Vj=(e,t)=>{if(!e)return Ia;const n=new age;e.state=n,n.strm=e,n.window=null,n.mode=D2;const r=Uj(e,t);return r!==Fd&&(e.state=null),r},sge=e=>Vj(e,oge);let HR=!0,NC,DC;const lge=e=>{if(HR){NC=new Int32Array(512),DC=new Int32Array(32);let t=0;for(;t<144;)e.lens[t++]=8;for(;t<256;)e.lens[t++]=9;for(;t<280;)e.lens[t++]=7;for(;t<288;)e.lens[t++]=8;for(rm($j,e.lens,0,288,NC,0,e.work,{bits:9}),t=0;t<32;)e.lens[t++]=5;rm(Nj,e.lens,0,32,DC,0,e.work,{bits:5}),HR=!1}e.lencode=NC,e.lenbits=9,e.distcode=DC,e.distbits=5},Gj=(e,t,n,r)=>{let i;const o=e.state;return o.window===null&&(o.wsize=1<<o.wbits,o.wnext=0,o.whave=0,o.window=new Uint8Array(o.wsize)),r>=o.wsize?(o.window.set(t.subarray(n-o.wsize,n),0),o.wnext=0,o.whave=o.wsize):(i=o.wsize-o.wnext,i>r&&(i=r),o.window.set(t.subarray(n-r,n-r+i),o.wnext),r-=i,r?(o.window.set(t.subarray(n-r,n),0),o.wnext=r,o.whave=o.wsize):(o.wnext+=i,o.wnext===o.wsize&&(o.wnext=0),o.whave<o.wsize&&(o.whave+=i))),0},uge=(e,t)=>{let n,r,i,o,a,s,l,u,c,d,f,h,p,m,_=0,b,y,g,v,S,w,x,C;const T=new Uint8Array(4);let E,P;const N=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);if(Qd(e)||!e.output||!e.input&&e.avail_in!==0)return Ia;n=e.state,n.mode===pl&&(n.mode=OC),a=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,s=e.avail_in,u=n.hold,c=n.bits,d=s,f=l,C=Fd;e:for(;;)switch(n.mode){case D2:if(n.wrap===0){n.mode=OC;break}for(;c<16;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(n.wrap&2&&u===35615){n.wbits===0&&(n.wbits=15),n.check=0,T[0]=u&255,T[1]=u>>>8&255,n.check=ai(n.check,T,2,0),u=0,c=0,n.mode=CR;break}if(n.head&&(n.head.done=!1),!(n.wrap&1)||(((u&255)<<8)+(u>>8))%31){e.msg="incorrect header check",n.mode=Zn;break}if((u&15)!==wR){e.msg="unknown compression method",n.mode=Zn;break}if(u>>>=4,c-=4,x=(u&15)+8,n.wbits===0&&(n.wbits=x),x>15||x>n.wbits){e.msg="invalid window size",n.mode=Zn;break}n.dmax=1<<n.wbits,n.flags=0,e.adler=n.check=1,n.mode=u&512?OR:pl,u=0,c=0;break;case CR:for(;c<16;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(n.flags=u,(n.flags&255)!==wR){e.msg="unknown compression method",n.mode=Zn;break}if(n.flags&57344){e.msg="unknown header flags set",n.mode=Zn;break}n.head&&(n.head.text=u>>8&1),n.flags&512&&n.wrap&4&&(T[0]=u&255,T[1]=u>>>8&255,n.check=ai(n.check,T,2,0)),u=0,c=0,n.mode=AR;case AR:for(;c<32;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}n.head&&(n.head.time=u),n.flags&512&&n.wrap&4&&(T[0]=u&255,T[1]=u>>>8&255,T[2]=u>>>16&255,T[3]=u>>>24&255,n.check=ai(n.check,T,4,0)),u=0,c=0,n.mode=ER;case ER:for(;c<16;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}n.head&&(n.head.xflags=u&255,n.head.os=u>>8),n.flags&512&&n.wrap&4&&(T[0]=u&255,T[1]=u>>>8&255,n.check=ai(n.check,T,2,0)),u=0,c=0,n.mode=TR;case TR:if(n.flags&1024){for(;c<16;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}n.length=u,n.head&&(n.head.extra_len=u),n.flags&512&&n.wrap&4&&(T[0]=u&255,T[1]=u>>>8&255,n.check=ai(n.check,T,2,0)),u=0,c=0}else n.head&&(n.head.extra=null);n.mode=kR;case kR:if(n.flags&1024&&(h=n.length,h>s&&(h=s),h&&(n.head&&(x=n.head.extra_len-n.length,n.head.extra||(n.head.extra=new Uint8Array(n.head.extra_len)),n.head.extra.set(r.subarray(o,o+h),x)),n.flags&512&&n.wrap&4&&(n.check=ai(n.check,r,h,o)),s-=h,o+=h,n.length-=h),n.length))break e;n.length=0,n.mode=PR;case PR:if(n.flags&2048){if(s===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.name+=String.fromCharCode(x));while(x&&h<s);if(n.flags&512&&n.wrap&4&&(n.check=ai(n.check,r,h,o)),s-=h,o+=h,x)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=IR;case IR:if(n.flags&4096){if(s===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.comment+=String.fromCharCode(x));while(x&&h<s);if(n.flags&512&&n.wrap&4&&(n.check=ai(n.check,r,h,o)),s-=h,o+=h,x)break e}else n.head&&(n.head.comment=null);n.mode=RR;case RR:if(n.flags&512){for(;c<16;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.check&65535)){e.msg="header crc mismatch",n.mode=Zn;break}u=0,c=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=pl;break;case OR:for(;c<32;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}e.adler=n.check=qR(u),u=0,c=0,n.mode=I_;case I_:if(n.havedict===0)return e.next_out=a,e.avail_out=l,e.next_in=o,e.avail_in=s,n.hold=u,n.bits=c,ege;e.adler=n.check=1,n.mode=pl;case pl:if(t===Zpe||t===Nv)break e;case OC:if(n.last){u>>>=c&7,c-=c&7,n.mode=$C;break}for(;c<3;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}switch(n.last=u&1,u>>>=1,c-=1,u&3){case 0:n.mode=MR;break;case 1:if(lge(n),n.mode=Dv,t===Nv){u>>>=2,c-=2;break e}break;case 2:n.mode=NR;break;case 3:e.msg="invalid block type",n.mode=Zn}u>>>=2,c-=2;break;case MR:for(u>>>=c&7,c-=c&7;c<32;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if((u&65535)!==(u>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Zn;break}if(n.length=u&65535,u=0,c=0,n.mode=MC,t===Nv)break e;case MC:n.mode=$R;case $R:if(h=n.length,h){if(h>s&&(h=s),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),a),s-=h,o+=h,l-=h,a+=h,n.length-=h;break}n.mode=pl;break;case NR:for(;c<14;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(n.nlen=(u&31)+257,u>>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Zn;break}n.have=0,n.mode=DR;case DR:for(;n.have<n.ncode;){for(;c<3;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}n.lens[N[n.have++]]=u&7,u>>>=3,c-=3}for(;n.have<19;)n.lens[N[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,E={bits:n.lenbits},C=rm(Ype,n.lens,0,19,n.lencode,0,n.work,E),n.lenbits=E.bits,C){e.msg="invalid code lengths set",n.mode=Zn;break}n.have=0,n.mode=LR;case LR:for(;n.have<n.nlen+n.ndist;){for(;_=n.lencode[u&(1<<n.lenbits)-1],b=_>>>24,y=_>>>16&255,g=_&65535,!(b<=c);){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(g<16)u>>>=b,c-=b,n.lens[n.have++]=g;else{if(g===16){for(P=b+2;c<P;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(u>>>=b,c-=b,n.have===0){e.msg="invalid bit length repeat",n.mode=Zn;break}x=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(P=b+3;c<P;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}u>>>=b,c-=b,x=0,h=3+(u&7),u>>>=3,c-=3}else{for(P=b+7;c<P;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}u>>>=b,c-=b,x=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Zn;break}for(;h--;)n.lens[n.have++]=x}}if(n.mode===Zn)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Zn;break}if(n.lenbits=9,E={bits:n.lenbits},C=rm($j,n.lens,0,n.nlen,n.lencode,0,n.work,E),n.lenbits=E.bits,C){e.msg="invalid literal/lengths set",n.mode=Zn;break}if(n.distbits=6,n.distcode=n.distdyn,E={bits:n.distbits},C=rm(Nj,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,E),n.distbits=E.bits,C){e.msg="invalid distances set",n.mode=Zn;break}if(n.mode=Dv,t===Nv)break e;case Dv:n.mode=Lv;case Lv:if(s>=6&&l>=258){e.next_out=a,e.avail_out=l,e.next_in=o,e.avail_in=s,n.hold=u,n.bits=c,qpe(e,f),a=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,s=e.avail_in,u=n.hold,c=n.bits,n.mode===pl&&(n.back=-1);break}for(n.back=0;_=n.lencode[u&(1<<n.lenbits)-1],b=_>>>24,y=_>>>16&255,g=_&65535,!(b<=c);){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(y&&!(y&240)){for(v=b,S=y,w=g;_=n.lencode[w+((u&(1<<v+S)-1)>>v)],b=_>>>24,y=_>>>16&255,g=_&65535,!(v+b<=c);){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=b,c-=b,n.back+=b,n.length=g,y===0){n.mode=UR;break}if(y&32){n.back=-1,n.mode=pl;break}if(y&64){e.msg="invalid literal/length code",n.mode=Zn;break}n.extra=y&15,n.mode=FR;case FR:if(n.extra){for(P=n.extra;c<P;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}n.length+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=BR;case BR:for(;_=n.distcode[u&(1<<n.distbits)-1],b=_>>>24,y=_>>>16&255,g=_&65535,!(b<=c);){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(!(y&240)){for(v=b,S=y,w=g;_=n.distcode[w+((u&(1<<v+S)-1)>>v)],b=_>>>24,y=_>>>16&255,g=_&65535,!(v+b<=c);){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=b,c-=b,n.back+=b,y&64){e.msg="invalid distance code",n.mode=Zn;break}n.offset=g,n.extra=y&15,n.mode=zR;case zR:if(n.extra){for(P=n.extra;c<P;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}n.offset+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Zn;break}n.mode=jR;case jR:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Zn;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=a-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[a++]=m[p++];while(--h);n.length===0&&(n.mode=Lv);break;case UR:if(l===0)break e;i[a++]=n.length,l--,n.mode=Lv;break;case $C:if(n.wrap){for(;c<32;){if(s===0)break e;s--,u|=r[o++]<<c,c+=8}if(f-=l,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?ai(n.check,i,f,a-f):g0(n.check,i,f,a-f)),f=l,n.wrap&4&&(n.flags?u:qR(u))!==n.check){e.msg="incorrect data check",n.mode=Zn;break}u=0,c=0}n.mode=VR;case VR:if(n.wrap&&n.flags){for(;c<32;){if(s===0)break 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onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r;if(i.is_intermediate)return;n(Se.util.upsertQueryData("getImageDTO",i.image_name,i));const o=da(i);n(Se.util.updateQueryData("listImages",{board_id:i.board_id??"none",categories:o},a=>{Vn.addOne(a,i)})),n(Lt.util.updateQueryData("getBoardAssetsTotal",i.board_id??"none",a=>{a.total+=1}))}catch{}}}),deleteBoard:e.mutation({query:t=>({url:`boards/${t}`,method:"DELETE"}),invalidatesTags:()=>[{type:"Board",id:no},{type:"ImageList",id:jo({board_id:"none",categories:ii})},{type:"ImageList",id:jo({board_id:"none",categories:to})}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,{deleted_board_images:o}=i;o.forEach(l=>{n(Se.util.updateQueryData("getImageDTO",l,u=>{u.board_id=void 0}))}),n(Lt.util.updateQueryData("getBoardAssetsTotal",t,l=>{l.total=0})),n(Lt.util.updateQueryData("getBoardImagesTotal",t,l=>{l.total=0}));const a=[{categories:ii},{categories:to}],s=o.map(l=>({id:l,changes:{board_id:void 0}}));a.forEach(l=>{n(Se.util.updateQueryData("listImages",l,u=>{Vn.updateMany(u,s)}))})}catch{}}}),deleteBoardAndImages:e.mutation({query:t=>({url:`boards/${t}`,method:"DELETE",params:{include_images:!0}}),invalidatesTags:()=>[{type:"Board",id:no},{type:"ImageList",id:jo({board_id:"none",categories:ii})},{type:"ImageList",id:jo({board_id:"none",categories:to})}],async onQueryStarted(t,{dispatch:n,queryFulfilled:r}){try{const{data:i}=await r,{deleted_images:o}=i;[{categories:ii},{categories:to}].forEach(s=>{n(Se.util.updateQueryData("listImages",s,l=>{Vn.removeMany(l,o)}))}),n(Lt.util.updateQueryData("getBoardAssetsTotal",t,s=>{s.total=0})),n(Lt.util.updateQueryData("getBoardImagesTotal",t,s=>{s.total=0}))}catch{}}}),addImageToBoard:e.mutation({query:({board_id:t,imageDTO:n})=>{const{image_name:r}=n;return{url:"board_images/",method:"POST",body:{board_id:t,image_name:r}}},invalidatesTags:(t,n,{board_id:r})=>[{type:"Board",id:r}],async onQueryStarted({board_id:t,imageDTO:n},{dispatch:r,queryFulfilled:i,getState:o}){const a=[],s=da(n),l=to.includes(n.image_category);if(a.push(r(Se.util.updateQueryData("getImageDTO",n.image_name,u=>{u.board_id=t}))),!n.is_intermediate){a.push(r(Se.util.updateQueryData("listImages",{board_id:n.board_id??"none",categories:s},p=>{Vn.removeOne(p,n.image_name)}))),a.push(r(Lt.util.updateQueryData(l?"getBoardAssetsTotal":"getBoardImagesTotal",n.board_id??"none",p=>{p.total=Math.max(p.total-1,0)}))),a.push(r(Lt.util.updateQueryData(l?"getBoardAssetsTotal":"getBoardImagesTotal",t??"none",p=>{p.total+=1})));const u={board_id:t??"none",categories:s},c=Se.endpoints.listImages.select(u)(o()),{data:d}=ii.includes(n.image_category)?Lt.endpoints.getBoardImagesTotal.select(n.board_id??"none")(o()):Lt.endpoints.getBoardAssetsTotal.select(n.board_id??"none")(o()),f=c.data&&c.data.ids.length>=((d==null?void 0:d.total)??0),h=Fc(c.data,n);(f||h)&&a.push(r(Se.util.updateQueryData("listImages",u,p=>{Vn.addOne(p,n)})))}try{await i}catch{a.forEach(u=>u.undo())}}}),removeImageFromBoard:e.mutation({query:({imageDTO:t})=>{const{image_name:n}=t;return{url:"board_images/",method:"DELETE",body:{image_name:n}}},invalidatesTags:(t,n,{imageDTO:r})=>{const{board_id:i}=r;return[{type:"Board",id:i??"none"}]},async onQueryStarted({imageDTO:t},{dispatch:n,queryFulfilled:r,getState:i}){const o=da(t),a=[],s=to.includes(t.image_category);a.push(n(Se.util.updateQueryData("getImageDTO",t.image_name,h=>{h.board_id=void 0}))),a.push(n(Se.util.updateQueryData("listImages",{board_id:t.board_id??"none",categories:o},h=>{Vn.removeOne(h,t.image_name)}))),a.push(n(Lt.util.updateQueryData(s?"getBoardAssetsTotal":"getBoardImagesTotal",t.board_id??"none",h=>{h.total=Math.max(h.total-1,0)}))),a.push(n(Lt.util.updateQueryData(s?"getBoardAssetsTotal":"getBoardImagesTotal","none",h=>{h.total+=1})));const l={board_id:"none",categories:o},u=Se.endpoints.listImages.select(l)(i()),{data:c}=ii.includes(t.image_category)?Lt.endpoints.getBoardImagesTotal.select(t.board_id??"none")(i()):Lt.endpoints.getBoardAssetsTotal.select(t.board_id??"none")(i()),d=u.data&&u.data.ids.length>=((c==null?void 0:c.total)??0),f=Fc(u.data,t);(d||f)&&a.push(n(Se.util.updateQueryData("listImages",l,h=>{Vn.upsertOne(h,t)})));try{await r}catch{a.forEach(h=>h.undo())}}}),addImagesToBoard:e.mutation({query:({board_id:t,imageDTOs:n})=>({url:"board_images/batch",method:"POST",body:{image_names:n.map(r=>r.image_name),board_id:t}}),invalidatesTags:(t,n,{board_id:r})=>[{type:"Board",id:r??"none"}],async onQueryStarted({board_id:t,imageDTOs:n},{dispatch:r,queryFulfilled:i,getState:o}){try{const{data:a}=await i,{added_image_names:s}=a;s.forEach(l=>{r(Se.util.updateQueryData("getImageDTO",l,y=>{y.board_id=t==="none"?void 0:t}));const u=n.find(y=>y.image_name===l);if(!u)return;const c=da(u),d=u.board_id,f=to.includes(u.image_category);r(Se.util.updateQueryData("listImages",{board_id:d??"none",categories:c},y=>{Vn.removeOne(y,u.image_name)})),r(Lt.util.updateQueryData(f?"getBoardAssetsTotal":"getBoardImagesTotal",d??"none",y=>{y.total=Math.max(y.total-1,0)})),r(Lt.util.updateQueryData(f?"getBoardAssetsTotal":"getBoardImagesTotal",t??"none",y=>{y.total+=1}));const h={board_id:t,categories:c},p=Se.endpoints.listImages.select(h)(o()),{data:m}=ii.includes(u.image_category)?Lt.endpoints.getBoardImagesTotal.select(t??"none")(o()):Lt.endpoints.getBoardAssetsTotal.select(t??"none")(o()),_=p.data&&p.data.ids.length>=((m==null?void 0:m.total)??0),b=((m==null?void 0:m.total)??0)>=Av?Fc(p.data,u):!0;(_||b)&&r(Se.util.updateQueryData("listImages",h,y=>{Vn.upsertOne(y,{...u,board_id:t})}))})}catch{}}}),removeImagesFromBoard:e.mutation({query:({imageDTOs:t})=>({url:"board_images/batch/delete",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{const i=[],o=[];return t==null||t.removed_image_names.forEach(a=>{var l;const s=(l=r.find(u=>u.image_name===a))==null?void 0:l.board_id;!s||i.includes(s)||o.push({type:"Board",id:s})}),o},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,{removed_image_names:a}=o;a.forEach(s=>{n(Se.util.updateQueryData("getImageDTO",s,_=>{_.board_id=void 0}));const l=t.find(_=>_.image_name===s);if(!l)return;const 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Please use public Util.radToDeg instead."),e.Util.radToDeg(g)},_getRotation(g){return t.Konva.angleDeg?e.Util.radToDeg(g):g},_capitalize(g){return g.charAt(0).toUpperCase()+g.slice(1)},throw(g){throw new Error(h+g)},error(g){console.error(h+g)},warn(g){t.Konva.showWarnings&&console.warn(f+g)},each(g,v){for(var S in g)v(S,g[S])},_inRange(g,v,S){return v<=g&&g<S},_getProjectionToSegment(g,v,S,w,x,C){var T,E,P,N=(g-S)*(g-S)+(v-w)*(v-w);if(N==0)T=g,E=v,P=(x-S)*(x-S)+(C-w)*(C-w);else{var O=((x-g)*(S-g)+(C-v)*(w-v))/N;O<0?(T=g,E=v,P=(g-x)*(g-x)+(v-C)*(v-C)):O>1?(T=S,E=w,P=(S-x)*(S-x)+(w-C)*(w-C)):(T=g+O*(S-g),E=v+O*(w-v),P=(T-x)*(T-x)+(E-C)*(E-C))}return[T,E,P]},_getProjectionToLine(g,v,S){var w=e.Util.cloneObject(g),x=Number.MAX_VALUE;return v.forEach(function(C,T){if(!(!S&&T===v.length-1)){var E=v[(T+1)%v.length],P=e.Util._getProjectionToSegment(C.x,C.y,E.x,E.y,g.x,g.y),N=P[0],O=P[1],A=P[2];A<x&&(w.x=N,w.y=O,x=A)}}),w},_prepareArrayForTween(g,v,S){var w,x=[],C=[];if(g.length>v.length){var T=v;v=g,g=T}for(w=0;w<g.length;w+=2)x.push({x:g[w],y:g[w+1]});for(w=0;w<v.length;w+=2)C.push({x:v[w],y:v[w+1]});var E=[];return C.forEach(function(P){var N=e.Util._getProjectionToLine(P,x,S);E.push(N.x),E.push(N.y)}),E},_prepareToStringify(g){var v;g.visitedByCircularReferenceRemoval=!0;for(var S in g)if(g.hasOwnProperty(S)&&g[S]&&typeof g[S]=="object"){if(v=Object.getOwnPropertyDescriptor(g,S),g[S].visitedByCircularReferenceRemoval||e.Util._isElement(g[S]))if(v.configurable)delete g[S];else return null;else if(e.Util._prepareToStringify(g[S])===null)if(v.configurable)delete g[S];else return null}return delete g.visitedByCircularReferenceRemoval,g},_assign(g,v){for(var S in v)g[S]=v[S];return g},_getFirstPointerId(g){return g.touches?g.changedTouches[0].identifier:g.pointerId||999},releaseCanvas(...g){t.Konva.releaseCanvasOnDestroy&&g.forEach(v=>{v.width=0,v.height=0})},drawRoundedRectPath(g,v,S,w){let x=0,C=0,T=0,E=0;typeof w=="number"?x=C=T=E=Math.min(w,v/2,S/2):(x=Math.min(w[0]||0,v/2,S/2),C=Math.min(w[1]||0,v/2,S/2),E=Math.min(w[2]||0,v/2,S/2),T=Math.min(w[3]||0,v/2,S/2)),g.moveTo(x,0),g.lineTo(v-C,0),g.arc(v-C,C,C,Math.PI*3/2,0,!1),g.lineTo(v,S-E),g.arc(v-E,S-E,E,0,Math.PI/2,!1),g.lineTo(T,S),g.arc(T,S-T,T,Math.PI/2,Math.PI,!1),g.lineTo(0,x),g.arc(x,x,x,Math.PI,Math.PI*3/2,!1)}}})(fr);var rr={},kt={},Xe={};Object.defineProperty(Xe,"__esModule",{value:!0});Xe.getComponentValidator=Xe.getBooleanValidator=Xe.getNumberArrayValidator=Xe.getFunctionValidator=Xe.getStringOrGradientValidator=Xe.getStringValidator=Xe.getNumberOrAutoValidator=Xe.getNumberOrArrayOfNumbersValidator=Xe.getNumberValidator=Xe.alphaComponent=Xe.RGBComponent=void 0;const au=Rt,br=fr;function su(e){return br.Util._isString(e)?'"'+e+'"':Object.prototype.toString.call(e)==="[object Number]"||br.Util._isBoolean(e)?e:Object.prototype.toString.call(e)}function vwe(e){return e>255?255:e<0?0:Math.round(e)}Xe.RGBComponent=vwe;function bwe(e){return e>1?1:e<1e-4?1e-4:e}Xe.alphaComponent=bwe;function _we(){if(au.Konva.isUnminified)return function(e,t){return br.Util._isNumber(e)||br.Util.warn(su(e)+' is a not valid value for "'+t+'" attribute. The value should be a number.'),e}}Xe.getNumberValidator=_we;function Swe(e){if(au.Konva.isUnminified)return function(t,n){let r=br.Util._isNumber(t),i=br.Util._isArray(t)&&t.length==e;return!r&&!i&&br.Util.warn(su(t)+' is a not valid value for "'+n+'" attribute. The value should be a number or Array<number>('+e+")"),t}}Xe.getNumberOrArrayOfNumbersValidator=Swe;function xwe(){if(au.Konva.isUnminified)return function(e,t){var n=br.Util._isNumber(e),r=e==="auto";return n||r||br.Util.warn(su(e)+' is a not valid value for "'+t+'" attribute. The value should be a number or "auto".'),e}}Xe.getNumberOrAutoValidator=xwe;function wwe(){if(au.Konva.isUnminified)return function(e,t){return br.Util._isString(e)||br.Util.warn(su(e)+' is a not valid value for "'+t+'" attribute. 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The value should be an object with properties '+e),t}}Xe.getComponentValidator=kwe;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Factory=void 0;const t=fr,n=Xe;var r="get",i="set";e.Factory={addGetterSetter(o,a,s,l,u){e.Factory.addGetter(o,a,s),e.Factory.addSetter(o,a,l,u),e.Factory.addOverloadedGetterSetter(o,a)},addGetter(o,a,s){var l=r+t.Util._capitalize(a);o.prototype[l]=o.prototype[l]||function(){var u=this.attrs[a];return u===void 0?s:u}},addSetter(o,a,s,l){var u=i+t.Util._capitalize(a);o.prototype[u]||e.Factory.overWriteSetter(o,a,s,l)},overWriteSetter(o,a,s,l){var u=i+t.Util._capitalize(a);o.prototype[u]=function(c){return s&&c!==void 0&&c!==null&&(c=s.call(this,c,a)),this._setAttr(a,c),l&&l.call(this),this}},addComponentsGetterSetter(o,a,s,l,u){var c=s.length,d=t.Util._capitalize,f=r+d(a),h=i+d(a),p,m;o.prototype[f]=function(){var b={};for(p=0;p<c;p++)m=s[p],b[m]=this.getAttr(a+d(m));return b};var _=(0,n.getComponentValidator)(s);o.prototype[h]=function(b){var y=this.attrs[a],g;l&&(b=l.call(this,b)),_&&_.call(this,b,a);for(g in b)b.hasOwnProperty(g)&&this._setAttr(a+d(g),b[g]);return b||s.forEach(v=>{this._setAttr(a+d(v),void 0)}),this._fireChangeEvent(a,y,b),u&&u.call(this),this},e.Factory.addOverloadedGetterSetter(o,a)},addOverloadedGetterSetter(o,a){var s=t.Util._capitalize(a),l=i+s,u=r+s;o.prototype[a]=function(){return arguments.length?(this[l](arguments[0]),this):this[u]()}},addDeprecatedGetterSetter(o,a,s,l){t.Util.error("Adding deprecated "+a);var u=r+t.Util._capitalize(a),c=a+" property is deprecated and will be removed soon. 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Use ""'+l+'" instead.')}o.prototype[s]=f,o.prototype[c]=f,o.prototype[d]=f})},afterSetFilter(){this._filterUpToDate=!1}}})(kt);var cs={},zl={};Object.defineProperty(zl,"__esModule",{value:!0});zl.HitContext=zl.SceneContext=zl.Context=void 0;const PG=fr,Pwe=Rt;function Iwe(e){var t=[],n=e.length,r=PG.Util,i,o;for(i=0;i<n;i++)o=e[i],r._isNumber(o)?o=Math.round(o*1e3)/1e3:r._isString(o)||(o=o+""),t.push(o);return t}var mO=",",Rwe="(",Owe=")",Mwe="([",$we="])",Nwe=";",Dwe="()",Lwe="=",yO=["arc","arcTo","beginPath","bezierCurveTo","clearRect","clip","closePath","createLinearGradient","createPattern","createRadialGradient","drawImage","ellipse","fill","fillText","getImageData","createImageData","lineTo","moveTo","putImageData","quadraticCurveTo","rect","restore","rotate","save","scale","setLineDash","setTransform","stroke","strokeText","transform","translate"],Fwe=["fillStyle","strokeStyle","shadowColor","shadowBlur","shadowOffsetX","shadowOffsetY","lineCap","lineDashOffset","lineJoin","lineWidth","miterLimit","font","textAlign","textBaseline","globalAlpha","globalCompositeOperation","imageSmoothingEnabled"];const Bwe=100;class gx{constructor(t){this.canvas=t,Pwe.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",a,s,l,u;for(a=0;a<i;a++)s=r[a],l=s.method,l?(u=s.args,o+=l,t?o+=Dwe:PG.Util._isArray(u[0])?o+=Mwe+u.join(mO)+$we:(n&&(u=u.map(c=>typeof c=="number"?Math.floor(c):c)),o+=Rwe+u.join(mO)+Owe)):(o+=s.property,t||(o+=Lwe+s.val)),o+=Nwe;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=Bwe&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,a){this._context.arc(t,n,r,i,o,a)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,a){this._context.bezierCurveTo(t,n,r,i,o,a)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,a){return this._context.createRadialGradient(t,n,r,i,o,a)}drawImage(t,n,r,i,o,a,s,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,a,s,l,u)}ellipse(t,n,r,i,o,a,s,l){this._context.ellipse(t,n,r,i,o,a,s,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,a){this._context.setTransform(t,n,r,i,o,a)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,a){this._context.transform(t,n,r,i,o,a)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=yO.length,r=this.setAttr,i,o,a=function(s){var l=t[s],u;t[s]=function(){return o=Iwe(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:s,args:o}),u}};for(i=0;i<n;i++)a(yO[i]);t.setAttr=function(){r.apply(t,arguments);var s=arguments[0],l=arguments[1];(s==="shadowOffsetX"||s==="shadowOffsetY"||s==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:s,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}zl.Context=gx;Fwe.forEach(function(e){Object.defineProperty(gx.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class zwe extends gx{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const a=t.getFillRadialGradientColorStops();if(a&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):a&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var a=0;a<i.length;a+=2)o.addColorStop(i[a],i[a+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",a=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,s=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),c=l.x*u,d=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",a*Math.min(Math.abs(c),Math.abs(d))),this.setAttr("shadowOffsetX",s.x*c),this.setAttr("shadowOffsetY",s.y*d)}}zl.SceneContext=zwe;class jwe extends gx{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}zl.HitContext=jwe;Object.defineProperty(cs,"__esModule",{value:!0});cs.HitCanvas=cs.SceneCanvas=cs.Canvas=void 0;const W_=fr,IG=zl,RG=Rt,Uwe=kt,Vwe=Xe;var Kv;function Gwe(){if(Kv)return Kv;var e=W_.Util.createCanvasElement(),t=e.getContext("2d");return Kv=function(){var n=RG.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),W_.Util.releaseCanvas(e),Kv}class mx{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||RG.Konva.pixelRatio||Gwe();this.pixelRatio=r,this._canvas=W_.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return W_.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}cs.Canvas=mx;Uwe.Factory.addGetterSetter(mx,"pixelRatio",void 0,(0,Vwe.getNumberValidator)());class qwe extends mx{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new IG.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}cs.SceneCanvas=qwe;class Hwe extends mx{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new IG.HitContext(this),this.setSize(t.width,t.height)}}cs.HitCanvas=Hwe;var yx={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Rt,n=fr;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,a)=>{const{node:s}=o,l=s.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=s.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(s.startDrag({evt:r}),!s.isDragging()))return}s._setDragPosition(r,o),i.push(s)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:a}=o,s=a.getStage();if(r&&s.setPointersPositions(r),!s._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(yx);Object.defineProperty(rr,"__esModule",{value:!0});rr.Node=void 0;const $t=fr,My=kt,Qv=cs,jc=Rt,fa=yx,kr=Xe;var eb="absoluteOpacity",Xv="allEventListeners",Sl="absoluteTransform",vO="absoluteScale",Uc="canvas",Wwe="Change",Kwe="children",Qwe="konva",aE="listening",bO="mouseenter",_O="mouseleave",SO="set",xO="Shape",tb=" ",wO="stage",Su="transform",Xwe="Stage",sE="visible",Ywe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(tb);let Zwe=1;class gt{constructor(t){this._id=Zwe++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===Su||t===Sl)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===Su||t===Sl,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(tb);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Uc)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===Sl&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Uc)){const{scene:t,filter:n,hit:r}=this._cache.get(Uc);$t.Util.releaseCanvas(t,n,r),this._cache.delete(Uc)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),a=n.pixelRatio,s=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){$t.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,s-=u,l-=u;var f=new Qv.SceneCanvas({pixelRatio:a,width:i,height:o}),h=new Qv.SceneCanvas({pixelRatio:a,width:0,height:0,willReadFrequently:!0}),p=new Qv.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),_=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Uc),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),_.save(),m.translate(-s,-l),_.translate(-s,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(eb),this._clearSelfAndDescendantCache(vO),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),_.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(Uc,{scene:f,filter:h,hit:p,x:s,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Uc)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,a,s,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=a=c.x,o=s=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),a=Math.max(a,c.x),s=Math.max(s,c.y)}),{x:i,y:o,width:a-i,height:s-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),a,s,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(a=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),s=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<a;l++){if(u=t[l],typeof u!="function"){$t.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,s),o.putImageData(s,0,0)}}catch(d){$t.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(Xv),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(tb),i=r.length,o,a,s,l,u;for(o=0;o<i;o++)a=r[o],s=a.split("."),l=s[0],u=s[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(tb),i=r.length,o,a,s,l,u,c;if(this._cache&&this._cache.delete(Xv),!t)for(a in this.eventListeners)this._off(a);for(o=0;o<i;o++)if(s=r[o],l=s.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(a in this.eventListeners)this._off(a,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var a=o.target.findAncestors(n,!0,i),s=0;s<a.length;s++)o=$t.Util.cloneObject(o),o.currentTarget=a[s],r.call(a[s],o)})}remove(){return this.isDragging()&&this.stopDrag(),fa.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(Sl),this._clearSelfAndDescendantCache(eb),this._clearSelfAndDescendantCache(vO),this._clearSelfAndDescendantCache(wO),this._clearSelfAndDescendantCache(sE),this._clearSelfAndDescendantCache(aE)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+$t.Util._capitalize(t);return $t.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==Kwe&&(r=SO+$t.Util._capitalize(n),$t.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(aE,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(sE,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;fa.DD._dragElements.forEach(a=>{a.dragStatus==="dragging"&&(a.node.nodeType==="Stage"||a.node.getLayer()===r)&&(i=!0)});var o=!n&&!jc.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,a,s;function l(u){for(i=[],o=u.length,a=0;a<o;a++)s=u[a],r++,s.nodeType!==xO&&(i=i.concat(s.getChildren().slice())),s._id===n._id&&(a=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==Xwe&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(Su),this._clearSelfAndDescendantCache(Sl)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new $t.Transform,a=this.offset();return o.m=i.slice(),o.translate(a.x,a.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(Su);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(Su),this._clearSelfAndDescendantCache(Sl),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,a;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,a=0;a<o;a++)t(r[a])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return $t.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return $t.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return $t.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return $t.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return $t.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&$t.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(eb,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,a,s;t.attrs={};for(r in n)i=n[r],s=$t.Util.isObject(i)&&!$t.Util._isPlainObject(i)&&!$t.Util._isArray(i),!s&&(o=typeof this[r]=="function"&&this[r],delete n[r],a=o?o.call(this):null,n[r]=i,a!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),$t.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],$t.Util.isValidSelector(o)||($t.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),$t.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),$t.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(wO,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(Sl,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new $t.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(Sl)||new $t.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,a=this.attrs.offsetX||0,s=this.attrs.offsetY||0;n.translate(i-a,o-s)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(Su,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(Su)||new $t.Transform;r.reset();var i=this.x(),o=this.y(),a=jc.Konva.getAngle(this.rotation()),s=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),a!==0&&r.rotate(a),(u!==0||c!==0)&&r.skew(u,c),(s!==1||l!==1)&&r.scale(s,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=$t.Util.cloneObject(this.attrs),r,i,o,a,s;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,a=0;a<o;a++)s=i[a],s.name.indexOf(Qwe)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(s));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),a=t.pixelRatio||1,s=new Qv.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:a}),l=s.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(s),l.restore(),s}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,$t.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():jc.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,a,s;for(o=0;o<i.length;o++)if(a=i[o].name,s=i[o].handler,(a!=="konva"||n==="konva")&&(!n||a===n)&&(!r||r===s)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+Wwe,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[SO+$t.Util._capitalize(t)];return $t.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(jc.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!$t.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===xO&&(n.target=this);var i=(t===bO||t===_O)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===bO||t===_O)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(Xv))!==null&&n!==void 0?n:{};let a=o==null?void 0:o[t];if(a===void 0){a=[];let s=Object.getPrototypeOf(this);for(;s;){const l=(i=(r=s.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];a.push(...l),s=Object.getPrototypeOf(s)}o[t]=a,this._cache.set(Xv,o)}return a}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;fa.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){fa.DD._dragElements.has(this._id)||this._createDragElement(t);const r=fa.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const a=o.call(this,i,t);a?i=a:$t.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=fa.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),fa.DD._endDragBefore(t),fa.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=fa.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||jc.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;fa.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=fa.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&fa.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return $t.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return $t.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=gt.prototype.getClassName.call(t),i=t.children,o,a,s;n&&(t.attrs.container=n),jc.Konva[r]||($t.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=jc.Konva[r];if(o=new l(t.attrs),i)for(a=i.length,s=0;s<a;s++)o.add(gt._createNode(i[s]));return o}}rr.Node=gt;gt.prototype.nodeType="Node";gt.prototype._attrsAffectingSize=[];gt.prototype.eventListeners={};gt.prototype.on.call(gt.prototype,Ywe,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(Su),this._clearSelfAndDescendantCache(Sl)});gt.prototype.on.call(gt.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(sE)});gt.prototype.on.call(gt.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(aE)});gt.prototype.on.call(gt.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(eb)});const In=My.Factory.addGetterSetter;In(gt,"zIndex");In(gt,"absolutePosition");In(gt,"position");In(gt,"x",0,(0,kr.getNumberValidator)());In(gt,"y",0,(0,kr.getNumberValidator)());In(gt,"globalCompositeOperation","source-over",(0,kr.getStringValidator)());In(gt,"opacity",1,(0,kr.getNumberValidator)());In(gt,"name","",(0,kr.getStringValidator)());In(gt,"id","",(0,kr.getStringValidator)());In(gt,"rotation",0,(0,kr.getNumberValidator)());My.Factory.addComponentsGetterSetter(gt,"scale",["x","y"]);In(gt,"scaleX",1,(0,kr.getNumberValidator)());In(gt,"scaleY",1,(0,kr.getNumberValidator)());My.Factory.addComponentsGetterSetter(gt,"skew",["x","y"]);In(gt,"skewX",0,(0,kr.getNumberValidator)());In(gt,"skewY",0,(0,kr.getNumberValidator)());My.Factory.addComponentsGetterSetter(gt,"offset",["x","y"]);In(gt,"offsetX",0,(0,kr.getNumberValidator)());In(gt,"offsetY",0,(0,kr.getNumberValidator)());In(gt,"dragDistance",null,(0,kr.getNumberValidator)());In(gt,"width",0,(0,kr.getNumberValidator)());In(gt,"height",0,(0,kr.getNumberValidator)());In(gt,"listening",!0,(0,kr.getBooleanValidator)());In(gt,"preventDefault",!0,(0,kr.getBooleanValidator)());In(gt,"filters",null,function(e){return this._filterUpToDate=!1,e});In(gt,"visible",!0,(0,kr.getBooleanValidator)());In(gt,"transformsEnabled","all",(0,kr.getStringValidator)());In(gt,"size");In(gt,"dragBoundFunc");In(gt,"draggable",!1,(0,kr.getBooleanValidator)());My.Factory.backCompat(gt,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var Xd={};Object.defineProperty(Xd,"__esModule",{value:!0});Xd.Container=void 0;const Tp=kt,a5=rr,vx=Xe;let Yd=class extends a5.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=a5.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=a5.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),a=this._getCanvasCache(),s=a&&a.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(s){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),a=this._getCanvasCache(),s=a&&a.hit;if(s){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),a=this.clipWidth(),s=this.clipHeight(),l=this.clipFunc(),u=a&&s||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let _;if(l)_=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,a,s)}o.clip.apply(o,_),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(_){_[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,a,s,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var _=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});_.width===0&&_.height===0||(o===void 0?(o=_.x,a=_.y,s=_.x+_.width,l=_.y+_.height):(o=Math.min(o,_.x),a=Math.min(a,_.y),s=Math.max(s,_.x+_.width),l=Math.max(l,_.y+_.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:a,width:s-o,height:l-a}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}};Xd.Container=Yd;Tp.Factory.addComponentsGetterSetter(Yd,"clip",["x","y","width","height"]);Tp.Factory.addGetterSetter(Yd,"clipX",void 0,(0,vx.getNumberValidator)());Tp.Factory.addGetterSetter(Yd,"clipY",void 0,(0,vx.getNumberValidator)());Tp.Factory.addGetterSetter(Yd,"clipWidth",void 0,(0,vx.getNumberValidator)());Tp.Factory.addGetterSetter(Yd,"clipHeight",void 0,(0,vx.getNumberValidator)());Tp.Factory.addGetterSetter(Yd,"clipFunc");var OG={},Qo={};Object.defineProperty(Qo,"__esModule",{value:!0});Qo.releaseCapture=Qo.setPointerCapture=Qo.hasPointerCapture=Qo.createEvent=Qo.getCapturedShape=void 0;const Jwe=Rt,k0=new Map,MG=Jwe.Konva._global.PointerEvent!==void 0;function eCe(e){return k0.get(e)}Qo.getCapturedShape=eCe;function N4(e){return{evt:e,pointerId:e.pointerId}}Qo.createEvent=N4;function tCe(e,t){return k0.get(e)===t}Qo.hasPointerCapture=tCe;function nCe(e,t){$G(e),t.getStage()&&(k0.set(e,t),MG&&t._fire("gotpointercapture",N4(new PointerEvent("gotpointercapture"))))}Qo.setPointerCapture=nCe;function $G(e,t){const n=k0.get(e);if(!n)return;const r=n.getStage();r&&r.content,k0.delete(e),MG&&n._fire("lostpointercapture",N4(new PointerEvent("lostpointercapture")))}Qo.releaseCapture=$G;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=fr,n=kt,r=Xd,i=Rt,o=cs,a=yx,s=Rt,l=Qo;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",_="mousemove",b="mousedown",y="mouseup",g="pointermove",v="pointerdown",S="pointerup",w="pointercancel",x="lostpointercapture",C="pointerout",T="pointerleave",E="pointerover",P="pointerenter",N="contextmenu",O="touchstart",A="touchend",k="touchmove",D="touchcancel",L="wheel",M=5,R=[[m,"_pointerenter"],[b,"_pointerdown"],[_,"_pointermove"],[y,"_pointerup"],[h,"_pointerleave"],[O,"_pointerdown"],[k,"_pointermove"],[A,"_pointerup"],[D,"_pointercancel"],[p,"_pointerover"],[L,"_wheel"],[N,"_contextmenu"],[v,"_pointerdown"],[g,"_pointermove"],[S,"_pointerup"],[w,"_pointercancel"],[x,"_lostpointercapture"]];const $={mouse:{[C]:f,[T]:h,[E]:p,[P]:m,[g]:_,[v]:b,[S]:y,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[C]:"touchout",[T]:"touchleave",[E]:"touchover",[P]:"touchenter",[g]:k,[v]:O,[S]:A,[w]:D,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[C]:C,[T]:T,[E]:E,[P]:P,[g]:g,[v]:v,[S]:S,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},B=J=>J.indexOf("pointer")>=0?"pointer":J.indexOf("touch")>=0?"touch":"mouse",U=J=>{const j=B(J);if(j==="pointer")return i.Konva.pointerEventsEnabled&&$.pointer;if(j==="touch")return $.touch;if(j==="mouse")return $.mouse};function G(J={}){return(J.clipFunc||J.clipWidth||J.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),J}const Y="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class ee extends r.Container{constructor(j){super(G(j)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{G(this.attrs)}),this._checkVisibility()}_validateAdd(j){const Q=j.getType()==="Layer",ne=j.getType()==="FastLayer";Q||ne||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var Q=j.slice(1);j=document.getElementsByClassName(Q)[0]}else{var ne;j.charAt(0)!=="#"?ne=j:ne=j.slice(1),j=document.getElementById(ne)}if(!j)throw"Can not find container in document with id "+ne}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,Q=j.length,ne;for(ne=0;ne<Q;ne++)j[ne].clear();return this}clone(j){return j||(j={}),j.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,j)}destroy(){super.destroy();var j=this.content;j&&t.Util._isInDocument(j)&&this.container().removeChild(j);var Q=e.stages.indexOf(this);return Q>-1&&e.stages.splice(Q,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(Y),null)}_getPointerById(j){return this._pointerPositions.find(Q=>Q.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var Q=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),ne=Q.getContext()._context,se=this.children;return(j.x||j.y)&&ne.translate(-1*j.x,-1*j.y),se.forEach(function(be){if(be.isVisible()){var ce=be._toKonvaCanvas(j);ne.drawImage(ce._canvas,j.x,j.y,ce.getWidth()/ce.getPixelRatio(),ce.getHeight()/ce.getPixelRatio())}}),Q}getIntersection(j){if(!j)return null;var Q=this.children,ne=Q.length,se=ne-1,be;for(be=se;be>=0;be--){const ce=Q[be].getIntersection(j);if(ce)return ce}return null}_resizeDOM(){var j=this.width(),Q=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=Q+d),this.bufferCanvas.setSize(j,Q),this.bufferHitCanvas.setSize(j,Q),this.children.forEach(ne=>{ne.setSize({width:j,height:Q}),ne.draw()})}add(j,...Q){if(arguments.length>1){for(var ne=0;ne<arguments.length;ne++)this.add(arguments[ne]);return this}super.add(j);var se=this.children.length;return se>M&&t.Util.warn("The stage has "+se+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&R.forEach(([j,Q])=>{this.content.addEventListener(j,ne=>{this[Q](ne)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const Q=U(j.type);this._fire(Q.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const Q=U(j.type);this._fire(Q.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let Q=this[j+"targetShape"];return Q&&!Q.getStage()&&(Q=null),Q}_pointerleave(j){const Q=U(j.type),ne=B(j.type);if(Q){this.setPointersPositions(j);var se=this._getTargetShape(ne),be=!a.DD.isDragging||i.Konva.hitOnDragEnabled;se&&be?(se._fireAndBubble(Q.pointerout,{evt:j}),se._fireAndBubble(Q.pointerleave,{evt:j}),this._fire(Q.pointerleave,{evt:j,target:this,currentTarget:this}),this[ne+"targetShape"]=null):be&&(this._fire(Q.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(Q.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const Q=U(j.type),ne=B(j.type);if(Q){this.setPointersPositions(j);var se=!1;this._changedPointerPositions.forEach(be=>{var ce=this.getIntersection(be);if(a.DD.justDragged=!1,i.Konva["_"+ne+"ListenClick"]=!0,!(ce&&ce.isListening()))return;i.Konva.capturePointerEventsEnabled&&ce.setPointerCapture(be.id),this[ne+"ClickStartShape"]=ce,ce._fireAndBubble(Q.pointerdown,{evt:j,pointerId:be.id}),se=!0;const ot=j.type.indexOf("touch")>=0;ce.preventDefault()&&j.cancelable&&ot&&j.preventDefault()}),se||this._fire(Q.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const Q=U(j.type),ne=B(j.type);if(!Q)return;a.DD.isDragging&&a.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var se=!a.DD.isDragging||i.Konva.hitOnDragEnabled;if(!se)return;var be={};let ce=!1;var bt=this._getTargetShape(ne);this._changedPointerPositions.forEach(ot=>{const ze=l.getCapturedShape(ot.id)||this.getIntersection(ot),mt=ot.id,Ie={evt:j,pointerId:mt};var en=bt!==ze;if(en&&bt&&(bt._fireAndBubble(Q.pointerout,Object.assign({},Ie),ze),bt._fireAndBubble(Q.pointerleave,Object.assign({},Ie),ze)),ze){if(be[ze._id])return;be[ze._id]=!0}ze&&ze.isListening()?(ce=!0,en&&(ze._fireAndBubble(Q.pointerover,Object.assign({},Ie),bt),ze._fireAndBubble(Q.pointerenter,Object.assign({},Ie),bt),this[ne+"targetShape"]=ze),ze._fireAndBubble(Q.pointermove,Object.assign({},Ie))):bt&&(this._fire(Q.pointerover,{evt:j,target:this,currentTarget:this,pointerId:mt}),this[ne+"targetShape"]=null)}),ce||this._fire(Q.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const Q=U(j.type),ne=B(j.type);if(!Q)return;this.setPointersPositions(j);const se=this[ne+"ClickStartShape"],be=this[ne+"ClickEndShape"];var ce={};let bt=!1;this._changedPointerPositions.forEach(ot=>{const ze=l.getCapturedShape(ot.id)||this.getIntersection(ot);if(ze){if(ze.releaseCapture(ot.id),ce[ze._id])return;ce[ze._id]=!0}const mt=ot.id,Ie={evt:j,pointerId:mt};let en=!1;i.Konva["_"+ne+"InDblClickWindow"]?(en=!0,clearTimeout(this[ne+"DblTimeout"])):a.DD.justDragged||(i.Konva["_"+ne+"InDblClickWindow"]=!0,clearTimeout(this[ne+"DblTimeout"])),this[ne+"DblTimeout"]=setTimeout(function(){i.Konva["_"+ne+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),ze&&ze.isListening()?(bt=!0,this[ne+"ClickEndShape"]=ze,ze._fireAndBubble(Q.pointerup,Object.assign({},Ie)),i.Konva["_"+ne+"ListenClick"]&&se&&se===ze&&(ze._fireAndBubble(Q.pointerclick,Object.assign({},Ie)),en&&be&&be===ze&&ze._fireAndBubble(Q.pointerdblclick,Object.assign({},Ie)))):(this[ne+"ClickEndShape"]=null,i.Konva["_"+ne+"ListenClick"]&&this._fire(Q.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:mt}),en&&this._fire(Q.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:mt}))}),bt||this._fire(Q.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+ne+"ListenClick"]=!1,j.cancelable&&ne!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var Q=this.getIntersection(this.getPointerPosition());Q&&Q.isListening()?Q._fireAndBubble(N,{evt:j}):this._fire(N,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var Q=this.getIntersection(this.getPointerPosition());Q&&Q.isListening()?Q._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const Q=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());Q&&Q._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var Q=this._getContentPosition(),ne=null,se=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,be=>{this._pointerPositions.push({id:be.identifier,x:(be.clientX-Q.left)/Q.scaleX,y:(be.clientY-Q.top)/Q.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,be=>{this._changedPointerPositions.push({id:be.identifier,x:(be.clientX-Q.left)/Q.scaleX,y:(be.clientY-Q.top)/Q.scaleY})})):(ne=(j.clientX-Q.left)/Q.scaleX,se=(j.clientY-Q.top)/Q.scaleY,this.pointerPos={x:ne,y:se},this._pointerPositions=[{x:ne,y:se,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:ne,y:se,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var j=this.container();if(!j)throw"Stage has no container. A container is required.";j.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),j.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(j){j.batchDraw()}),this}}e.Stage=ee,ee.prototype.nodeType=u,(0,s._registerNode)(ee),n.Factory.addGetterSetter(ee,"container")})(OG);var $y={},Yr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Rt,n=fr,r=kt,i=rr,o=Xe,a=Rt,s=Qo;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(T){const E=this.attrs.fillRule;E?T.fill(E):T.fill()}function _(T){T.stroke()}function b(T){T.fill()}function y(T){T.stroke()}function g(){this._clearCache(l)}function v(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class C extends i.Node{constructor(E){super(E);let P;for(;P=n.Util.getRandomColor(),!(P&&!(P in e.shapes)););this.colorKey=P,e.shapes[P]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var E=p();const P=E.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(P&&P.setTransform){const N=new n.Transform;N.translate(this.fillPatternX(),this.fillPatternY()),N.rotate(t.Konva.getAngle(this.fillPatternRotation())),N.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),N.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const O=N.getMatrix(),A=typeof DOMMatrix>"u"?{a:O[0],b:O[1],c:O[2],d:O[3],e:O[4],f:O[5]}:new DOMMatrix(O);P.setTransform(A)}return P}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var E=this.fillLinearGradientColorStops();if(E){for(var P=p(),N=this.fillLinearGradientStartPoint(),O=this.fillLinearGradientEndPoint(),A=P.createLinearGradient(N.x,N.y,O.x,O.y),k=0;k<E.length;k+=2)A.addColorStop(E[k],E[k+1]);return A}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var E=this.fillRadialGradientColorStops();if(E){for(var P=p(),N=this.fillRadialGradientStartPoint(),O=this.fillRadialGradientEndPoint(),A=P.createRadialGradient(N.x,N.y,this.fillRadialGradientStartRadius(),O.x,O.y,this.fillRadialGradientEndRadius()),k=0;k<E.length;k+=2)A.addColorStop(E[k],E[k+1]);return A}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var E=n.Util.colorToRGBA(this.shadowColor());if(E)return"rgba("+E.r+","+E.g+","+E.b+","+E.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const E=this.hitStrokeWidth();return E==="auto"?this.hasStroke():this.strokeEnabled()&&!!E}intersects(E){var P=this.getStage(),N=P.bufferHitCanvas,O;return N.getContext().clear(),this.drawHit(N,null,!0),O=N.context.getImageData(Math.round(E.x),Math.round(E.y),1,1).data,O[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(E){var P;if(!this.getStage()||!((P=this.attrs.perfectDrawEnabled)!==null&&P!==void 0?P:!0))return!1;const O=E||this.hasFill(),A=this.hasStroke(),k=this.getAbsoluteOpacity()!==1;if(O&&A&&k)return!0;const D=this.hasShadow(),L=this.shadowForStrokeEnabled();return!!(O&&A&&D&&L)}setStrokeHitEnabled(E){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),E?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var E=this.size();return{x:this._centroid?-E.width/2:0,y:this._centroid?-E.height/2:0,width:E.width,height:E.height}}getClientRect(E={}){const P=E.skipTransform,N=E.relativeTo,O=this.getSelfRect(),k=!E.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=O.width+k,L=O.height+k,M=!E.skipShadow&&this.hasShadow(),R=M?this.shadowOffsetX():0,$=M?this.shadowOffsetY():0,B=D+Math.abs(R),U=L+Math.abs($),G=M&&this.shadowBlur()||0,Y=B+G*2,ee=U+G*2,J={width:Y,height:ee,x:-(k/2+G)+Math.min(R,0)+O.x,y:-(k/2+G)+Math.min($,0)+O.y};return P?J:this._transformedRect(J,N)}drawScene(E,P){var N=this.getLayer(),O=E||N.getCanvas(),A=O.getContext(),k=this._getCanvasCache(),D=this.getSceneFunc(),L=this.hasShadow(),M,R,$,B=O.isCache,U=P===this;if(!this.isVisible()&&!U)return this;if(k){A.save();var G=this.getAbsoluteTransform(P).getMatrix();return A.transform(G[0],G[1],G[2],G[3],G[4],G[5]),this._drawCachedSceneCanvas(A),A.restore(),this}if(!D)return this;if(A.save(),this._useBufferCanvas()&&!B){M=this.getStage(),R=M.bufferCanvas,$=R.getContext(),$.clear(),$.save(),$._applyLineJoin(this);var Y=this.getAbsoluteTransform(P).getMatrix();$.transform(Y[0],Y[1],Y[2],Y[3],Y[4],Y[5]),D.call(this,$,this),$.restore();var ee=R.pixelRatio;L&&A._applyShadow(this),A._applyOpacity(this),A._applyGlobalCompositeOperation(this),A.drawImage(R._canvas,0,0,R.width/ee,R.height/ee)}else{if(A._applyLineJoin(this),!U){var Y=this.getAbsoluteTransform(P).getMatrix();A.transform(Y[0],Y[1],Y[2],Y[3],Y[4],Y[5]),A._applyOpacity(this),A._applyGlobalCompositeOperation(this)}L&&A._applyShadow(this),D.call(this,A,this)}return A.restore(),this}drawHit(E,P,N=!1){if(!this.shouldDrawHit(P,N))return this;var O=this.getLayer(),A=E||O.hitCanvas,k=A&&A.getContext(),D=this.hitFunc()||this.sceneFunc(),L=this._getCanvasCache(),M=L&&L.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),M){k.save();var R=this.getAbsoluteTransform(P).getMatrix();return k.transform(R[0],R[1],R[2],R[3],R[4],R[5]),this._drawCachedHitCanvas(k),k.restore(),this}if(!D)return this;if(k.save(),k._applyLineJoin(this),!(this===P)){var B=this.getAbsoluteTransform(P).getMatrix();k.transform(B[0],B[1],B[2],B[3],B[4],B[5])}return D.call(this,k,this),k.restore(),this}drawHitFromCache(E=0){var P=this._getCanvasCache(),N=this._getCachedSceneCanvas(),O=P.hit,A=O.getContext(),k=O.getWidth(),D=O.getHeight(),L,M,R,$,B,U;A.clear(),A.drawImage(N._canvas,0,0,k,D);try{for(L=A.getImageData(0,0,k,D),M=L.data,R=M.length,$=n.Util._hexToRgb(this.colorKey),B=0;B<R;B+=4)U=M[B+3],U>E?(M[B]=$.r,M[B+1]=$.g,M[B+2]=$.b,M[B+3]=255):M[B+3]=0;A.putImageData(L,0,0)}catch(G){n.Util.error("Unable to draw hit graph from cached scene canvas. "+G.message)}return this}hasPointerCapture(E){return s.hasPointerCapture(E,this)}setPointerCapture(E){s.setPointerCapture(E,this)}releaseCapture(E){s.releaseCapture(E,this)}}e.Shape=C,C.prototype._fillFunc=m,C.prototype._strokeFunc=_,C.prototype._fillFuncHit=b,C.prototype._strokeFuncHit=y,C.prototype._centroid=!1,C.prototype.nodeType="Shape",(0,a._registerNode)(C),C.prototype.eventListeners={},C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",v),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(C,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(C,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(C,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"lineJoin"),r.Factory.addGetterSetter(C,"lineCap"),r.Factory.addGetterSetter(C,"sceneFunc"),r.Factory.addGetterSetter(C,"hitFunc"),r.Factory.addGetterSetter(C,"dash"),r.Factory.addGetterSetter(C,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(C,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(C,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternImage"),r.Factory.addGetterSetter(C,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(C,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(C,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(C,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(C,"fillEnabled",!0),r.Factory.addGetterSetter(C,"strokeEnabled",!0),r.Factory.addGetterSetter(C,"shadowEnabled",!0),r.Factory.addGetterSetter(C,"dashEnabled",!0),r.Factory.addGetterSetter(C,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(C,"fillPriority","color"),r.Factory.addComponentsGetterSetter(C,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(C,"fillPatternRotation",0),r.Factory.addGetterSetter(C,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(C,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(Yr);Object.defineProperty($y,"__esModule",{value:!0});$y.Layer=void 0;const yl=fr,s5=Xd,xf=rr,D4=kt,CO=cs,rCe=Xe,iCe=Yr,oCe=Rt;var aCe="#",sCe="beforeDraw",lCe="draw",NG=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],uCe=NG.length;class kp extends s5.Container{constructor(t){super(t),this.canvas=new CO.SceneCanvas,this.hitCanvas=new CO.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){xf.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=xf.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(xf.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(xf.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return xf.Node.prototype.remove.call(this),t&&t.parentNode&&yl.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&yl.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),xf.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){yl.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){yl.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,yl.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<uCe;i++){const o=NG[i],a=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),s=a.shape;if(s)return s;if(r=!!a.antialiased,!a.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=yl.Util._rgbToHex(r[0],r[1],r[2]),a=iCe.shapes[aCe+o];return a?{shape:a}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(sCe,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),s5.Container.prototype.drawScene.call(this,i,n),this._fire(lCe,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),s5.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){yl.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return yl.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return yl.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}$y.Layer=kp;kp.prototype.nodeType="Layer";(0,oCe._registerNode)(kp);D4.Factory.addGetterSetter(kp,"imageSmoothingEnabled",!0);D4.Factory.addGetterSetter(kp,"clearBeforeDraw",!0);D4.Factory.addGetterSetter(kp,"hitGraphEnabled",!0,(0,rCe.getBooleanValidator)());var bx={};Object.defineProperty(bx,"__esModule",{value:!0});bx.FastLayer=void 0;const cCe=fr,dCe=$y,fCe=Rt;class L4 extends dCe.Layer{constructor(t){super(t),this.listening(!1),cCe.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}bx.FastLayer=L4;L4.prototype.nodeType="FastLayer";(0,fCe._registerNode)(L4);var Pp={};Object.defineProperty(Pp,"__esModule",{value:!0});Pp.Group=void 0;const hCe=fr,pCe=Xd,gCe=Rt;class F4 extends pCe.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&hCe.Util.throw("You may only add groups and shapes to groups.")}}Pp.Group=F4;F4.prototype.nodeType="Group";(0,gCe._registerNode)(F4);var Ip={};Object.defineProperty(Ip,"__esModule",{value:!0});Ip.Animation=void 0;const l5=Rt,AO=fr;var u5=function(){return l5.glob.performance&&l5.glob.performance.now?function(){return l5.glob.performance.now()}:function(){return new Date().getTime()}}();class Ls{constructor(t,n){this.id=Ls.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:u5(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=Ls,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=u5(),Ls._addAnimation(this),this}stop(){return Ls._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,a,s,l,u,c,d;for(a=0;a<n.length;a++)if(r=n[a],i=r.layers,o=r.func,r._updateFrameObject(u5()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(s=0;s<l;s++)u=i[s],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=Ls;t.animations.length?(t._runFrames(),AO.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,AO.Util.requestAnimFrame(this._animationLoop))}}Ip.Animation=Ls;Ls.animations=[];Ls.animIdCounter=0;Ls.animRunning=!1;var DG={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=fr,n=Ip,r=rr,i=Rt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},a=1,s=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,_,b,y,g,v){this.prop=p,this.propFunc=m,this.begin=b,this._pos=b,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=v,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=_,this._change=y-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=s,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===s?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=a,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,_=p.node,b=_._id,y,g=p.easing||e.Easings.Linear,v=!!p.yoyo,S;typeof p.duration>"u"?y=.3:p.duration===0?y=.001:y=p.duration,this.node=_,this._id=u++;var w=_.getLayer()||(_ instanceof i.Konva.Stage?_.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(x){m._tweenFunc(x)},g,0,1,y*1e3,v),this._addListeners(),f.attrs[b]||(f.attrs[b]={}),f.attrs[b][this._id]||(f.attrs[b][this._id]={}),f.tweens[b]||(f.tweens[b]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var _=this.node,b=_._id,y,g,v,S,w,x,C,T;if(v=f.tweens[b][p],v&&delete f.attrs[b][v][p],y=_.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,y.length),p==="points"&&m.length!==y.length&&(m.length>y.length?(C=y,y=t.Util._prepareArrayForTween(y,m,_.closed())):(x=m,m=t.Util._prepareArrayForTween(m,y,_.closed()))),p.indexOf("fill")===0)for(S=0;S<w;S++)if(S%2===0)g.push(m[S]-y[S]);else{var E=t.Util.colorToRGBA(y[S]);T=t.Util.colorToRGBA(m[S]),y[S]=E,g.push({r:T.r-E.r,g:T.g-E.g,b:T.b-E.b,a:T.a-E.a})}else for(S=0;S<w;S++)g.push(m[S]-y[S]);else c.indexOf(p)!==-1?(y=t.Util.colorToRGBA(y),T=t.Util.colorToRGBA(m),g={r:T.r-y.r,g:T.g-y.g,b:T.b-y.b,a:T.a-y.a}):g=m-y;f.attrs[b][this._id][p]={start:y,diff:g,end:m,trueEnd:x,trueStart:C},f.tweens[b][p]=this._id}_tweenFunc(p){var m=this.node,_=f.attrs[m._id][this._id],b,y,g,v,S,w,x,C;for(b in _){if(y=_[b],g=y.start,v=y.diff,C=y.end,t.Util._isArray(g))if(S=[],x=Math.max(g.length,C.length),b.indexOf("fill")===0)for(w=0;w<x;w++)w%2===0?S.push((g[w]||0)+v[w]*p):S.push("rgba("+Math.round(g[w].r+v[w].r*p)+","+Math.round(g[w].g+v[w].g*p)+","+Math.round(g[w].b+v[w].b*p)+","+(g[w].a+v[w].a*p)+")");else for(w=0;w<x;w++)S.push((g[w]||0)+v[w]*p);else c.indexOf(b)!==-1?S="rgba("+Math.round(g.r+v.r*p)+","+Math.round(g.g+v.g*p)+","+Math.round(g.b+v.b*p)+","+(g.a+v.a*p)+")":S=g+v*p;m.setAttr(b,S)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,_=f.tweens[p],b;this.pause();for(b in _)delete f.tweens[p][b];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,_){var b=1.70158;return m*(h/=_)*h*((b+1)*h-b)+p},BackEaseOut(h,p,m,_){var b=1.70158;return m*((h=h/_-1)*h*((b+1)*h+b)+1)+p},BackEaseInOut(h,p,m,_){var b=1.70158;return(h/=_/2)<1?m/2*(h*h*(((b*=1.525)+1)*h-b))+p:m/2*((h-=2)*h*(((b*=1.525)+1)*h+b)+2)+p},ElasticEaseIn(h,p,m,_,b,y){var g=0;return h===0?p:(h/=_)===1?p+m:(y||(y=_*.3),!b||b<Math.abs(m)?(b=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/b),-(b*Math.pow(2,10*(h-=1))*Math.sin((h*_-g)*(2*Math.PI)/y))+p)},ElasticEaseOut(h,p,m,_,b,y){var g=0;return h===0?p:(h/=_)===1?p+m:(y||(y=_*.3),!b||b<Math.abs(m)?(b=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/b),b*Math.pow(2,-10*h)*Math.sin((h*_-g)*(2*Math.PI)/y)+m+p)},ElasticEaseInOut(h,p,m,_,b,y){var g=0;return h===0?p:(h/=_/2)===2?p+m:(y||(y=_*(.3*1.5)),!b||b<Math.abs(m)?(b=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/b),h<1?-.5*(b*Math.pow(2,10*(h-=1))*Math.sin((h*_-g)*(2*Math.PI)/y))+p:b*Math.pow(2,-10*(h-=1))*Math.sin((h*_-g)*(2*Math.PI)/y)*.5+m+p)},BounceEaseOut(h,p,m,_){return(h/=_)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,_){return m-e.Easings.BounceEaseOut(_-h,0,m,_)+p},BounceEaseInOut(h,p,m,_){return h<_/2?e.Easings.BounceEaseIn(h*2,0,m,_)*.5+p:e.Easings.BounceEaseOut(h*2-_,0,m,_)*.5+m*.5+p},EaseIn(h,p,m,_){return m*(h/=_)*h+p},EaseOut(h,p,m,_){return-m*(h/=_)*(h-2)+p},EaseInOut(h,p,m,_){return(h/=_/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,_){return m*(h/=_)*h*h*h*h+p},StrongEaseOut(h,p,m,_){return m*((h=h/_-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,_){return(h/=_/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,_){return m*h/_+p}}})(DG);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=Rt,n=fr,r=rr,i=Xd,o=OG,a=$y,s=bx,l=Pp,u=yx,c=Yr,d=Ip,f=DG,h=zl,p=cs;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:a.Layer,FastLayer:s.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(kG);var _x={};Object.defineProperty(_x,"__esModule",{value:!0});_x.Arc=void 0;const Sx=kt,mCe=Yr,EO=Rt,xx=Xe,yCe=Rt;class lu extends mCe.Shape{_sceneFunc(t){var n=EO.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=EO.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),a=1,s=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),c=a*n,d=s*(s>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}_x.Arc=lu;lu.prototype._centroid=!0;lu.prototype.className="Arc";lu.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,yCe._registerNode)(lu);Sx.Factory.addGetterSetter(lu,"innerRadius",0,(0,xx.getNumberValidator)());Sx.Factory.addGetterSetter(lu,"outerRadius",0,(0,xx.getNumberValidator)());Sx.Factory.addGetterSetter(lu,"angle",0,(0,xx.getNumberValidator)());Sx.Factory.addGetterSetter(lu,"clockwise",!1,(0,xx.getBooleanValidator)());var wx={},Ny={};Object.defineProperty(Ny,"__esModule",{value:!0});Ny.Line=void 0;const 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s=a[0],l=a[1],u=a[2],c=a[3],d=a[4],f=a[5],h=a[6],p=a[7],m=u>c?u:c,_=u>c?1:u/c,b=u>c?c/u:1;t.translate(s,l),t.rotate(h),t.scale(_,b),t.arc(0,0,m,d,d+f,1-p),t.scale(1/_,1/b),t.rotate(-h),t.translate(-s,-l);break;case"z":r=!0,t.closePath();break}}!r&&!this.hasFill()?t.strokeShape(this):t.fillStrokeShape(this)}getSelfRect(){var t=[];this.dataArray.forEach(function(u){if(u.command==="A"){var c=u.points[4],d=u.points[5],f=u.points[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),d<0)for(let p=c-h;p>f;p-=h){const m=qr.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}else for(let p=c+h;p<f;p+=h){const m=qr.getPointOnEllipticalArc(u.points[0],u.points[1],u.points[2],u.points[3],p,0);t.push(m.x,m.y)}}else if(u.command==="C")for(let p=0;p<=1;p+=.01){const m=qr.getPointOnCubicBezier(p,u.start.x,u.start.y,u.points[0],u.points[1],u.points[2],u.points[3],u.points[4],u.points[5]);t.push(m.x,m.y)}else t=t.concat(u.points)});for(var n=t[0],r=t[0],i=t[1],o=t[1],a,s,l=0;l<t.length/2;l++)a=t[l*2],s=t[l*2+1],isNaN(a)||(n=Math.min(n,a),r=Math.max(r,a)),isNaN(s)||(i=Math.min(i,s),o=Math.max(o,s));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return qr.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var a=n[i],s=a.points;switch(a.command){case"L":return qr.getPointOnLine(t,a.start.x,a.start.y,s[0],s[1]);case"C":return qr.getPointOnCubicBezier((0,wf.t2length)(t,qr.getPathLength(n),m=>(0,wf.getCubicArcLength)([a.start.x,s[0],s[2],s[4]],[a.start.y,s[1],s[3],s[5]],m)),a.start.x,a.start.y,s[0],s[1],s[2],s[3],s[4],s[5]);case"Q":return qr.getPointOnQuadraticBezier((0,wf.t2length)(t,qr.getPathLength(n),m=>(0,wf.getQuadraticArcLength)([a.start.x,s[0],s[2]],[a.start.y,s[1],s[3]],m)),a.start.x,a.start.y,s[0],s[1],s[2],s[3]);case"A":var l=s[0],u=s[1],c=s[2],d=s[3],f=s[4],h=s[5],p=s[6];return f+=h*t/a.pathLength,qr.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,a,s){a===void 0&&(a=n),s===void 0&&(s=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:a,y:s+c};else if((s-r)/(a-n+1e-8)===l)d={x:a+u,y:s+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(a-n)*(i-n)+(s-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var _=this.getLineLength(a,s,f,h),b=Math.sqrt(t*t-_*_);u=Math.sqrt(b*b/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,a,s,l,u){function c(_){return _*_*_}function d(_){return 3*_*_*(1-_)}function f(_){return 3*_*(1-_)*(1-_)}function h(_){return(1-_)*(1-_)*(1-_)}var p=l*c(t)+a*d(t)+i*f(t)+n*h(t),m=u*c(t)+s*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,a,s){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=a*l(t)+i*u(t)+n*c(t),f=s*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,a){var s=Math.cos(a),l=Math.sin(a),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*s-u.y*l),y:n+(u.x*l+u.y*s)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),a=[],s=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),s.length=0;d=c.exec(f);)s.push(d[0]);for(var p=[],m=0,_=s.length;m<_;m++){if(s[m]==="00"){p.push(0,0);continue}var b=parseFloat(s[m]);isNaN(b)?p.push(0):p.push(b)}for(;p.length>0&&!isNaN(p[0]);){var y=null,g=[],v=l,S=u,w,x,C,T,E,P,N,O,A,k;switch(h){case"l":l+=p.shift(),u+=p.shift(),y="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var D=p.shift(),L=p.shift();if(l+=D,u+=L,y="M",a.length>2&&a[a.length-1].command==="z"){for(var M=a.length-2;M>=0;M--)if(a[M].command==="M"){l=a[M].points[0]+D,u=a[M].points[1]+L;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),y="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),y="L",g.push(l,u);break;case"H":l=p.shift(),y="L",g.push(l,u);break;case"v":u+=p.shift(),y="L",g.push(l,u);break;case"V":u=p.shift(),y="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"S":x=l,C=u,w=a[a.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,p.shift(),p.shift()),l=p.shift(),u=p.shift(),y="C",g.push(l,u);break;case"s":x=l,C=u,w=a[a.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="Q",g.push(l,u);break;case"T":x=l,C=u,w=a[a.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l=p.shift(),u=p.shift(),y="Q",g.push(x,C,l,u);break;case"t":x=l,C=u,w=a[a.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),y="Q",g.push(x,C,l,u);break;case"A":T=p.shift(),E=p.shift(),P=p.shift(),N=p.shift(),O=p.shift(),A=l,k=u,l=p.shift(),u=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(A,k,l,u,N,O,T,E,P);break;case"a":T=p.shift(),E=p.shift(),P=p.shift(),N=p.shift(),O=p.shift(),A=l,k=u,l+=p.shift(),u+=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(A,k,l,u,N,O,T,E,P);break}a.push({command:y||h,points:g,start:{x:v,y:S},pathLength:this.calcLength(v,S,y||h,g)})}(h==="z"||h==="Z")&&a.push({command:"z",points:[],start:void 0,pathLength:0})}return a}static calcLength(t,n,r,i){var o,a,s,l,u=qr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,wf.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,wf.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(a.x,a.y,s.x,s.y),a=s;else for(l=c+h;l<f;l+=h)s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(a.x,a.y,s.x,s.y),a=s;return s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(a.x,a.y,s.x,s.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,a,s,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(s*s)+f*f/(l*l);h>1&&(s*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((s*s*(l*l)-s*s*(f*f)-l*l*(d*d))/(s*s*(f*f)+l*l*(d*d)));o===a&&(p*=-1),isNaN(p)&&(p=0);var m=p*s*f/l,_=p*-l*d/s,b=(t+r)/2+Math.cos(c)*m-Math.sin(c)*_,y=(n+i)/2+Math.sin(c)*m+Math.cos(c)*_,g=function(E){return Math.sqrt(E[0]*E[0]+E[1]*E[1])},v=function(E,P){return(E[0]*P[0]+E[1]*P[1])/(g(E)*g(P))},S=function(E,P){return(E[0]*P[1]<E[1]*P[0]?-1:1)*Math.acos(v(E,P))},w=S([1,0],[(d-m)/s,(f-_)/l]),x=[(d-m)/s,(f-_)/l],C=[(-1*d-m)/s,(-1*f-_)/l],T=S(x,C);return v(x,C)<=-1&&(T=Math.PI),v(x,C)>=1&&(T=0),a===0&&T>0&&(T=T-2*Math.PI),a===1&&T<0&&(T=T+2*Math.PI),[b,y,s,l,w,T,c,a]}}Rp.Path=qr;qr.prototype.className="Path";qr.prototype._attrsAffectingSize=["data"];(0,xCe._registerNode)(qr);_Ce.Factory.addGetterSetter(qr,"data");Object.defineProperty(wx,"__esModule",{value:!0});wx.Arrow=void 0;const Ax=kt,wCe=Ny,BG=Xe,CCe=Rt,kO=Rp;class Zd extends wCe.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var a=this.pointerLength(),s=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[s-2],r[s-1]],h=kO.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=kO.Path.getPointOnQuadraticBezier(Math.min(1,1-a/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[s-2]-p.x,u=r[s-1]-p.y}else l=r[s-2]-r[s-4],u=r[s-1]-r[s-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[s-2],r[s-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-a,d/2),t.lineTo(-a,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-a,d/2),t.lineTo(-a,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}wx.Arrow=Zd;Zd.prototype.className="Arrow";(0,CCe._registerNode)(Zd);Ax.Factory.addGetterSetter(Zd,"pointerLength",10,(0,BG.getNumberValidator)());Ax.Factory.addGetterSetter(Zd,"pointerWidth",10,(0,BG.getNumberValidator)());Ax.Factory.addGetterSetter(Zd,"pointerAtBeginning",!1);Ax.Factory.addGetterSetter(Zd,"pointerAtEnding",!0);var Ex={};Object.defineProperty(Ex,"__esModule",{value:!0});Ex.Circle=void 0;const ACe=kt,ECe=Yr,TCe=Xe,kCe=Rt;let Op=class extends ECe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};Ex.Circle=Op;Op.prototype._centroid=!0;Op.prototype.className="Circle";Op.prototype._attrsAffectingSize=["radius"];(0,kCe._registerNode)(Op);ACe.Factory.addGetterSetter(Op,"radius",0,(0,TCe.getNumberValidator)());var Tx={};Object.defineProperty(Tx,"__esModule",{value:!0});Tx.Ellipse=void 0;const B4=kt,PCe=Yr,zG=Xe,ICe=Rt;class Rc extends PCe.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}Tx.Ellipse=Rc;Rc.prototype.className="Ellipse";Rc.prototype._centroid=!0;Rc.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,ICe._registerNode)(Rc);B4.Factory.addComponentsGetterSetter(Rc,"radius",["x","y"]);B4.Factory.addGetterSetter(Rc,"radiusX",0,(0,zG.getNumberValidator)());B4.Factory.addGetterSetter(Rc,"radiusY",0,(0,zG.getNumberValidator)());var kx={};Object.defineProperty(kx,"__esModule",{value:!0});kx.Image=void 0;const c5=fr,Jd=kt,RCe=Yr,OCe=Rt,Dy=Xe;let ul=class jG extends RCe.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let a;if(o){const s=this.attrs.cropWidth,l=this.attrs.cropHeight;s&&l?a=[o,this.cropX(),this.cropY(),s,l,0,0,n,r]:a=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?c5.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,a))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?c5.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=c5.Util.createImageElement();i.onload=function(){var o=new jG({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};kx.Image=ul;ul.prototype.className="Image";(0,OCe._registerNode)(ul);Jd.Factory.addGetterSetter(ul,"cornerRadius",0,(0,Dy.getNumberOrArrayOfNumbersValidator)(4));Jd.Factory.addGetterSetter(ul,"image");Jd.Factory.addComponentsGetterSetter(ul,"crop",["x","y","width","height"]);Jd.Factory.addGetterSetter(ul,"cropX",0,(0,Dy.getNumberValidator)());Jd.Factory.addGetterSetter(ul,"cropY",0,(0,Dy.getNumberValidator)());Jd.Factory.addGetterSetter(ul,"cropWidth",0,(0,Dy.getNumberValidator)());Jd.Factory.addGetterSetter(ul,"cropHeight",0,(0,Dy.getNumberValidator)());var up={};Object.defineProperty(up,"__esModule",{value:!0});up.Tag=up.Label=void 0;const Px=kt,MCe=Yr,$Ce=Pp,z4=Xe,UG=Rt;var VG=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],NCe="Change.konva",DCe="none",uE="up",cE="right",dE="down",fE="left",LCe=VG.length;class j4 extends $Ce.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<LCe;r++)t.on(VG[r]+NCe,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,a,s,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),a=n.pointerWidth(),u=n.pointerHeight(),s=0,l=0,o){case uE:s=r/2,l=-1*u;break;case cE:s=r+a,l=i/2;break;case dE:s=r/2,l=i+u;break;case fE:s=-1*a,l=i/2;break}n.setAttrs({x:-1*s,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*s,y:-1*l})}}}up.Label=j4;j4.prototype.className="Label";(0,UG._registerNode)(j4);class ef extends MCe.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),a=this.pointerHeight(),s=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof s=="number"?l=u=c=d=Math.min(s,n/2,r/2):(l=Math.min(s[0]||0,n/2,r/2),u=Math.min(s[1]||0,n/2,r/2),d=Math.min(s[2]||0,n/2,r/2),c=Math.min(s[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===uE&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*a),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===cE&&(t.lineTo(n,(r-a)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+a)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===dE&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+a),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===fE&&(t.lineTo(0,(r+a)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-a)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),a=this.width(),s=this.height();return o===uE?(n-=i,s+=i):o===dE?s+=i:o===fE?(t-=r*1.5,a+=r):o===cE&&(a+=r*1.5),{x:t,y:n,width:a,height:s}}}up.Tag=ef;ef.prototype.className="Tag";(0,UG._registerNode)(ef);Px.Factory.addGetterSetter(ef,"pointerDirection",DCe);Px.Factory.addGetterSetter(ef,"pointerWidth",0,(0,z4.getNumberValidator)());Px.Factory.addGetterSetter(ef,"pointerHeight",0,(0,z4.getNumberValidator)());Px.Factory.addGetterSetter(ef,"cornerRadius",0,(0,z4.getNumberOrArrayOfNumbersValidator)(4));var Ly={};Object.defineProperty(Ly,"__esModule",{value:!0});Ly.Rect=void 0;const FCe=kt,BCe=Yr,zCe=Rt,jCe=fr,UCe=Xe;let Ix=class extends BCe.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?jCe.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Ly.Rect=Ix;Ix.prototype.className="Rect";(0,zCe._registerNode)(Ix);FCe.Factory.addGetterSetter(Ix,"cornerRadius",0,(0,UCe.getNumberOrArrayOfNumbersValidator)(4));var Rx={};Object.defineProperty(Rx,"__esModule",{value:!0});Rx.RegularPolygon=void 0;const GG=kt,VCe=Yr,qG=Xe,GCe=Rt;class tf extends VCe.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(a=>{n=Math.min(n,a.x),r=Math.max(r,a.x),i=Math.min(i,a.y),o=Math.max(o,a.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}Rx.RegularPolygon=tf;tf.prototype.className="RegularPolygon";tf.prototype._centroid=!0;tf.prototype._attrsAffectingSize=["radius"];(0,GCe._registerNode)(tf);GG.Factory.addGetterSetter(tf,"radius",0,(0,qG.getNumberValidator)());GG.Factory.addGetterSetter(tf,"sides",0,(0,qG.getNumberValidator)());var Ox={};Object.defineProperty(Ox,"__esModule",{value:!0});Ox.Ring=void 0;const HG=kt,qCe=Yr,WG=Xe,HCe=Rt;var PO=Math.PI*2;class nf extends qCe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,PO,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),PO,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}Ox.Ring=nf;nf.prototype.className="Ring";nf.prototype._centroid=!0;nf.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,HCe._registerNode)(nf);HG.Factory.addGetterSetter(nf,"innerRadius",0,(0,WG.getNumberValidator)());HG.Factory.addGetterSetter(nf,"outerRadius",0,(0,WG.getNumberValidator)());var Mx={};Object.defineProperty(Mx,"__esModule",{value:!0});Mx.Sprite=void 0;const rf=kt,WCe=Yr,KCe=Ip,KG=Xe,QCe=Rt;class cl extends WCe.Shape{constructor(t){super(t),this._updated=!0,this.anim=new KCe.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],a=this.frameOffsets(),s=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(a){var f=a[n],h=r*2;t.drawImage(d,s,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,s,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],a=this.frameOffsets(),s=o[i+2],l=o[i+3];if(t.beginPath(),a){var u=a[n],c=r*2;t.rect(u[c+0],u[c+1],s,l)}else t.rect(0,0,s,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}Mx.Sprite=cl;cl.prototype.className="Sprite";(0,QCe._registerNode)(cl);rf.Factory.addGetterSetter(cl,"animation");rf.Factory.addGetterSetter(cl,"animations");rf.Factory.addGetterSetter(cl,"frameOffsets");rf.Factory.addGetterSetter(cl,"image");rf.Factory.addGetterSetter(cl,"frameIndex",0,(0,KG.getNumberValidator)());rf.Factory.addGetterSetter(cl,"frameRate",17,(0,KG.getNumberValidator)());rf.Factory.backCompat(cl,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var $x={};Object.defineProperty($x,"__esModule",{value:!0});$x.Star=void 0;const U4=kt,XCe=Yr,V4=Xe,YCe=Rt;class Oc extends XCe.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var a=o%2===0?r:n,s=a*Math.sin(o*Math.PI/i),l=-1*a*Math.cos(o*Math.PI/i);t.lineTo(s,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}$x.Star=Oc;Oc.prototype.className="Star";Oc.prototype._centroid=!0;Oc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,YCe._registerNode)(Oc);U4.Factory.addGetterSetter(Oc,"numPoints",5,(0,V4.getNumberValidator)());U4.Factory.addGetterSetter(Oc,"innerRadius",0,(0,V4.getNumberValidator)());U4.Factory.addGetterSetter(Oc,"outerRadius",0,(0,V4.getNumberValidator)());var Gd={};Object.defineProperty(Gd,"__esModule",{value:!0});Gd.Text=Gd.stringToArray=void 0;const hE=fr,po=kt,ZCe=Yr,Mc=Xe,JCe=Rt;function QG(e){return Array.from(e)}Gd.stringToArray=QG;var Cf="auto",e5e="center",lg="justify",t5e="Change.konva",n5e="2d",IO="-",XG="left",r5e="text",i5e="Text",o5e="top",a5e="bottom",RO="middle",YG="normal",s5e="px ",Yv=" ",l5e="right",u5e="word",c5e="char",OO="none",d5="…",ZG=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],d5e=ZG.length;function f5e(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Zv;function f5(){return Zv||(Zv=hE.Util.createCanvasElement().getContext(n5e),Zv)}function h5e(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function p5e(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function g5e(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}let Pr=class extends ZCe.Shape{constructor(t){super(g5e(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<d5e;n++)this.on(ZG[n]+t5e,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),a=this.lineHeight()*o,s=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,_,b=0,b=a/2,y=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",RO),t.setAttr("textAlign",XG),s===RO?l=(this.getHeight()-r*a-i*2)/2:s===a5e&&(l=this.getHeight()-r*a-i*2),t.translate(i,l+i),_=0;_<r;_++){var y=0,g=0,v=n[_],S=v.text,w=v.width,x=v.lastInParagraph,C,T,E;if(t.save(),u===l5e?y+=c-w-i*2:u===e5e&&(y+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(y,b+g+Math.round(o/2)),C=S.split(" ").length-1,T=C===0,E=u===lg&&!x?c-i*2:w,t.lineTo(y+Math.round(E),b+g+Math.round(o/2)),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(y,b+g),C=S.split(" ").length-1,T=C===0,E=u===lg&&x&&!T?c-i*2:w,t.lineTo(y+Math.round(E),b+g),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(d!==0||u===lg){C=S.split(" ").length-1;for(var P=QG(S),N=0;N<P.length;N++){var O=P[N];O===" "&&!x&&u===lg&&(y+=(c-i*2-w)/C),this._partialTextX=y,this._partialTextY=b+g,this._partialText=O,t.fillStrokeShape(this),y+=this.measureSize(O).width+d}}else this._partialTextX=y,this._partialTextY=b+g,this._partialText=S,t.fillStrokeShape(this);t.restore(),r>1&&(b+=a)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=hE.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(r5e,n),this}getWidth(){var t=this.attrs.width===Cf||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===Cf||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return hE.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=f5(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+Yv+this.fontVariant()+Yv+(this.fontSize()+s5e)+f5e(this.fontFamily())}_addTextLine(t){this.align()===lg&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return f5().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
+`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,a=this.attrs.height,s=o!==Cf&&o!==void 0,l=a!==Cf&&a!==void 0,u=this.padding(),c=o-u*2,d=a-u*2,f=0,h=this.wrap(),p=h!==OO,m=h!==c5e&&p,_=this.ellipsis();this.textArr=[],f5().font=this._getContextFont();for(var b=_?this._getTextWidth(d5):0,y=0,g=t.length;y<g;++y){var v=t[y],S=this._getTextWidth(v);if(s&&S>c)for(;v.length>0;){for(var w=0,x=v.length,C="",T=0;w<x;){var E=w+x>>>1,P=v.slice(0,E+1),N=this._getTextWidth(P)+b;N<=c?(w=E+1,C=P,T=N):x=E}if(C){if(m){var O,A=v[C.length],k=A===Yv||A===IO;k&&T<=c?O=C.length:O=Math.max(C.lastIndexOf(Yv),C.lastIndexOf(IO))+1,O>0&&(w=O,C=C.slice(0,w),T=this._getTextWidth(C))}C=C.trimRight(),this._addTextLine(C),r=Math.max(r,T),f+=i;var D=this._shouldHandleEllipsis(f);if(D){this._tryToAddEllipsisToLastLine();break}if(v=v.slice(w),v=v.trimLeft(),v.length>0&&(S=this._getTextWidth(v),S<=c)){this._addTextLine(v),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(v),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&y<g-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&f+i>d)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==Cf&&i!==void 0,a=this.padding(),s=i-a*2,l=this.wrap(),u=l!==OO;return!u||o&&t+r>s}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==Cf&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),a=this.textArr[this.textArr.length-1];if(!(!a||!o)){if(n){var s=this._getTextWidth(a.text+d5)<i;s||(a.text=a.text.slice(0,a.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(a.text+d5)}}getStrokeScaleEnabled(){return!0}};Gd.Text=Pr;Pr.prototype._fillFunc=h5e;Pr.prototype._strokeFunc=p5e;Pr.prototype.className=i5e;Pr.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,JCe._registerNode)(Pr);po.Factory.overWriteSetter(Pr,"width",(0,Mc.getNumberOrAutoValidator)());po.Factory.overWriteSetter(Pr,"height",(0,Mc.getNumberOrAutoValidator)());po.Factory.addGetterSetter(Pr,"fontFamily","Arial");po.Factory.addGetterSetter(Pr,"fontSize",12,(0,Mc.getNumberValidator)());po.Factory.addGetterSetter(Pr,"fontStyle",YG);po.Factory.addGetterSetter(Pr,"fontVariant",YG);po.Factory.addGetterSetter(Pr,"padding",0,(0,Mc.getNumberValidator)());po.Factory.addGetterSetter(Pr,"align",XG);po.Factory.addGetterSetter(Pr,"verticalAlign",o5e);po.Factory.addGetterSetter(Pr,"lineHeight",1,(0,Mc.getNumberValidator)());po.Factory.addGetterSetter(Pr,"wrap",u5e);po.Factory.addGetterSetter(Pr,"ellipsis",!1,(0,Mc.getBooleanValidator)());po.Factory.addGetterSetter(Pr,"letterSpacing",0,(0,Mc.getNumberValidator)());po.Factory.addGetterSetter(Pr,"text","",(0,Mc.getStringValidator)());po.Factory.addGetterSetter(Pr,"textDecoration","");var Nx={};Object.defineProperty(Nx,"__esModule",{value:!0});Nx.TextPath=void 0;const h5=fr,vs=kt,m5e=Yr,ug=Rp,p5=Gd,JG=Xe,y5e=Rt;var v5e="",eq="normal";function tq(e){e.fillText(this.partialText,0,0)}function nq(e){e.strokeText(this.partialText,0,0)}class Zr extends m5e.Shape{constructor(t){super(t),this.dummyCanvas=h5.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return ug.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:ug.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=ug.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var a=0;a<o.length;a++){t.save();var s=o[a].p0;t.translate(s.x,s.y),t.rotate(o[a].rotation),this.partialText=o[a].text,t.fillStrokeShape(this),n==="underline"&&(a===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return h5.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}setText(t){return p5.Text.prototype.setText.call(this,t)}_getContextFont(){return p5.Text.prototype._getContextFont.call(this)}_getTextSize(t){var n=this.dummyCanvas,r=n.getContext("2d");r.save(),r.font=this._getContextFont();var i=r.measureText(t);return r.restore(),{width:i.width,height:parseInt(`${this.fontSize()}`,10)}}_setTextData(){const{width:t,height:n}=this._getTextSize(this.attrs.text);if(this.textWidth=t,this.textHeight=n,this.glyphInfo=[],!this.attrs.data)return null;const r=this.letterSpacing(),i=this.align(),o=this.kerningFunc(),a=Math.max(this.textWidth+((this.attrs.text||"").length-1)*r,0);let s=0;i==="center"&&(s=Math.max(0,this.pathLength/2-a/2)),i==="right"&&(s=Math.max(0,this.pathLength-a));const l=(0,p5.stringToArray)(this.text());let u=s;for(var c=0;c<l.length;c++){const d=this._getPointAtLength(u);if(!d)return;let f=this._getTextSize(l[c]).width+r;if(l[c]===" "&&i==="justify"){const y=this.text().split(" ").length-1;f+=(this.pathLength-a)/y}const h=this._getPointAtLength(u+f);if(!h)return;const p=ug.Path.getLineLength(d.x,d.y,h.x,h.y);let m=0;if(o)try{m=o(l[c-1],l[c])*this.fontSize()}catch{m=0}d.x+=m,h.x+=m,this.textWidth+=m;const _=ug.Path.getPointOnLine(m+p/2,d.x,d.y,h.x,h.y),b=Math.atan2(h.y-d.y,h.x-d.x);this.glyphInfo.push({transposeX:_.x,transposeY:_.y,text:l[c],rotation:b,p0:d,p1:h}),u+=f}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(c){t.push(c.p0.x),t.push(c.p0.y),t.push(c.p1.x),t.push(c.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,a,s,l=0;l<t.length/2;l++)a=t[l*2],s=t[l*2+1],n=Math.min(n,a),r=Math.max(r,a),i=Math.min(i,s),o=Math.max(o,s);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return h5.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}Nx.TextPath=Zr;Zr.prototype._fillFunc=tq;Zr.prototype._strokeFunc=nq;Zr.prototype._fillFuncHit=tq;Zr.prototype._strokeFuncHit=nq;Zr.prototype.className="TextPath";Zr.prototype._attrsAffectingSize=["text","fontSize","data"];(0,y5e._registerNode)(Zr);vs.Factory.addGetterSetter(Zr,"data");vs.Factory.addGetterSetter(Zr,"fontFamily","Arial");vs.Factory.addGetterSetter(Zr,"fontSize",12,(0,JG.getNumberValidator)());vs.Factory.addGetterSetter(Zr,"fontStyle",eq);vs.Factory.addGetterSetter(Zr,"align","left");vs.Factory.addGetterSetter(Zr,"letterSpacing",0,(0,JG.getNumberValidator)());vs.Factory.addGetterSetter(Zr,"textBaseline","middle");vs.Factory.addGetterSetter(Zr,"fontVariant",eq);vs.Factory.addGetterSetter(Zr,"text",v5e);vs.Factory.addGetterSetter(Zr,"textDecoration",null);vs.Factory.addGetterSetter(Zr,"kerningFunc",null);var Dx={};Object.defineProperty(Dx,"__esModule",{value:!0});Dx.Transformer=void 0;const Cn=fr,bn=kt,MO=rr,b5e=Yr,_5e=Ly,$O=Pp,Wa=Rt,$c=Xe,S5e=Rt;var rq="tr-konva",x5e=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${rq}`).join(" "),NO="nodesRect",w5e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],C5e={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const A5e="ontouchstart"in Wa.Konva._global;function E5e(e,t){if(e==="rotater")return"crosshair";t+=Cn.Util.degToRad(C5e[e]||0);var n=(Cn.Util.radToDeg(t)%360+360)%360;return Cn.Util._inRange(n,315+22.5,360)||Cn.Util._inRange(n,0,22.5)?"ns-resize":Cn.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":Cn.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":Cn.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":Cn.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":Cn.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":Cn.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":Cn.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(Cn.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var K_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],DO=1e8;function T5e(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function iq(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function k5e(e,t){const n=T5e(e);return iq(e,t,n)}function P5e(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=Wa.Konva.getAngle(e[i]),a=Math.abs(o-t)%(Math.PI*2);Math.min(a,Math.PI*2-a)<n&&(r=o)}return r}class Jt extends $O.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(x5e,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return Cn.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return rq+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(Cn.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},a=i._attrsAffectingSize.map(s=>s+"Change."+this._getEventNamespace()).join(" ");i.on(a,o),i.on(w5e.map(s=>s+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,a=i.y-n.y;this.nodes().forEach(s=>{if(s===t||s.isDragging())return;const l=s.getAbsolutePosition();s.setAbsolutePosition({x:l.x+o,y:l.y+a}),s.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(NO),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(NO,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),a=t.getAbsolutePosition(r),s=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(Wa.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:a.x+s*Math.cos(u)+l*Math.sin(-u),y:a.y+l*Math.cos(u)+s*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return iq(c,-Wa.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-DO,y:-DO,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new Cn.Transform;r.rotate(-Wa.Konva.getAngle(this.rotation()));var i,o,a,s;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=a=c.x,o=s=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),a=Math.max(a,c.x),s=Math.max(s,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:a-i,height:s-o,rotation:Wa.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),K_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new _5e.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:A5e?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=Wa.Konva.getAngle(this.rotation()),o=E5e(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new b5e.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*Cn.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var a=t.target.getAbsolutePosition(),s=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:s.x-a.x,y:s.y-a.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),a=o.getStage();a.setPointersPositions(t);const s=a.getPointerPosition();let l={x:s.x-this._anchorDragOffset.x,y:s.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let O=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(O-=Math.PI);var f=Wa.Konva.getAngle(this.rotation());const A=f+O,k=Wa.Konva.getAngle(this.rotationSnapTolerance()),L=P5e(this.rotationSnaps(),A,k)-d.rotation,M=k5e(d,L);this._fitNodesInto(M,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var _=this.findOne(".top-left").x()>m.x?-1:1,b=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*_,r=i*this.sin*b,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var _=this.findOne(".top-right").x()<m.x?-1:1,b=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*_,r=i*this.sin*b,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var y=o.position();this.findOne(".top-left").y(y.y),this.findOne(".bottom-right").x(y.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var _=m.x<o.x()?-1:1,b=o.y()<m.y?-1:1;n=i*this.cos*_,r=i*this.sin*b,o.x(m.x-n),o.y(m.y+r)}y=o.position(),this.findOne(".top-left").x(y.x),this.findOne(".bottom-right").y(y.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var _=this.findOne(".bottom-right").x()<m.x?-1:1,b=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*_,r=i*this.sin*b,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var v=this.findOne(".top-left"),S=this.findOne(".bottom-right"),w=v.x(),x=v.y(),C=this.getWidth()-S.x(),T=this.getHeight()-S.y();S.move({x:-w,y:-x}),v.move({x:C,y:T})}var E=this.findOne(".top-left").getAbsolutePosition();n=E.x,r=E.y;var P=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),N=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:P,height:N,rotation:Wa.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(Cn.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(Cn.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var a=new Cn.Transform;if(a.rotate(Wa.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=a.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=a.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=a.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=a.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:Cn.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const s=1e7,l=new Cn.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/s,r.height/s);const u=new Cn.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/s,t.height/s);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new Cn.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const _=m.decompose();d.setAttrs(_),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(Cn.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(Cn.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),a=this.resizeEnabled(),s=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+s,offsetY:l/2+s,visible:a&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+s,visible:a&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-s,offsetY:l/2+s,visible:a&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+s,visible:a&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-s,visible:a&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+s,offsetY:l/2-s,visible:a&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-s,visible:a&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-s,offsetY:l/2-s,visible:a&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*Cn.Util._sign(i)-s,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),$O.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return MO.Node.prototype.toObject.call(this)}clone(t){var n=MO.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}Dx.Transformer=Jt;function I5e(e){return e instanceof Array||Cn.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){K_.indexOf(t)===-1&&Cn.Util.warn("Unknown anchor name: "+t+". Available names are: "+K_.join(", "))}),e||[]}Jt.prototype.className="Transformer";(0,S5e._registerNode)(Jt);bn.Factory.addGetterSetter(Jt,"enabledAnchors",K_,I5e);bn.Factory.addGetterSetter(Jt,"flipEnabled",!0,(0,$c.getBooleanValidator)());bn.Factory.addGetterSetter(Jt,"resizeEnabled",!0);bn.Factory.addGetterSetter(Jt,"anchorSize",10,(0,$c.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"rotateEnabled",!0);bn.Factory.addGetterSetter(Jt,"rotationSnaps",[]);bn.Factory.addGetterSetter(Jt,"rotateAnchorOffset",50,(0,$c.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"rotationSnapTolerance",5,(0,$c.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"borderEnabled",!0);bn.Factory.addGetterSetter(Jt,"anchorStroke","rgb(0, 161, 255)");bn.Factory.addGetterSetter(Jt,"anchorStrokeWidth",1,(0,$c.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"anchorFill","white");bn.Factory.addGetterSetter(Jt,"anchorCornerRadius",0,(0,$c.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"borderStroke","rgb(0, 161, 255)");bn.Factory.addGetterSetter(Jt,"borderStrokeWidth",1,(0,$c.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"borderDash");bn.Factory.addGetterSetter(Jt,"keepRatio",!0);bn.Factory.addGetterSetter(Jt,"shiftBehavior","default");bn.Factory.addGetterSetter(Jt,"centeredScaling",!1);bn.Factory.addGetterSetter(Jt,"ignoreStroke",!1);bn.Factory.addGetterSetter(Jt,"padding",0,(0,$c.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"node");bn.Factory.addGetterSetter(Jt,"nodes");bn.Factory.addGetterSetter(Jt,"boundBoxFunc");bn.Factory.addGetterSetter(Jt,"anchorDragBoundFunc");bn.Factory.addGetterSetter(Jt,"anchorStyleFunc");bn.Factory.addGetterSetter(Jt,"shouldOverdrawWholeArea",!1);bn.Factory.addGetterSetter(Jt,"useSingleNodeRotation",!0);bn.Factory.backCompat(Jt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var Lx={};Object.defineProperty(Lx,"__esModule",{value:!0});Lx.Wedge=void 0;const Fx=kt,R5e=Yr,O5e=Rt,oq=Xe,M5e=Rt;class uu extends R5e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,O5e.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}Lx.Wedge=uu;uu.prototype.className="Wedge";uu.prototype._centroid=!0;uu.prototype._attrsAffectingSize=["radius"];(0,M5e._registerNode)(uu);Fx.Factory.addGetterSetter(uu,"radius",0,(0,oq.getNumberValidator)());Fx.Factory.addGetterSetter(uu,"angle",0,(0,oq.getNumberValidator)());Fx.Factory.addGetterSetter(uu,"clockwise",!1);Fx.Factory.backCompat(uu,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var Bx={};Object.defineProperty(Bx,"__esModule",{value:!0});Bx.Blur=void 0;const LO=kt,$5e=rr,N5e=Xe;function FO(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var D5e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],L5e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function F5e(e,t){var n=e.data,r=e.width,i=e.height,o,a,s,l,u,c,d,f,h,p,m,_,b,y,g,v,S,w,x,C,T,E,P,N,O=t+t+1,A=r-1,k=i-1,D=t+1,L=D*(D+1)/2,M=new FO,R=null,$=M,B=null,U=null,G=D5e[t],Y=L5e[t];for(s=1;s<O;s++)$=$.next=new FO,s===D&&(R=$);for($.next=M,d=c=0,a=0;a<i;a++){for(v=S=w=x=f=h=p=m=0,_=D*(C=n[c]),b=D*(T=n[c+1]),y=D*(E=n[c+2]),g=D*(P=n[c+3]),f+=L*C,h+=L*T,p+=L*E,m+=L*P,$=M,s=0;s<D;s++)$.r=C,$.g=T,$.b=E,$.a=P,$=$.next;for(s=1;s<D;s++)l=c+((A<s?A:s)<<2),f+=($.r=C=n[l])*(N=D-s),h+=($.g=T=n[l+1])*N,p+=($.b=E=n[l+2])*N,m+=($.a=P=n[l+3])*N,v+=C,S+=T,w+=E,x+=P,$=$.next;for(B=M,U=R,o=0;o<r;o++)n[c+3]=P=m*G>>Y,P!==0?(P=255/P,n[c]=(f*G>>Y)*P,n[c+1]=(h*G>>Y)*P,n[c+2]=(p*G>>Y)*P):n[c]=n[c+1]=n[c+2]=0,f-=_,h-=b,p-=y,m-=g,_-=B.r,b-=B.g,y-=B.b,g-=B.a,l=d+((l=o+t+1)<A?l:A)<<2,v+=B.r=n[l],S+=B.g=n[l+1],w+=B.b=n[l+2],x+=B.a=n[l+3],f+=v,h+=S,p+=w,m+=x,B=B.next,_+=C=U.r,b+=T=U.g,y+=E=U.b,g+=P=U.a,v-=C,S-=T,w-=E,x-=P,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(S=w=x=v=h=p=m=f=0,c=o<<2,_=D*(C=n[c]),b=D*(T=n[c+1]),y=D*(E=n[c+2]),g=D*(P=n[c+3]),f+=L*C,h+=L*T,p+=L*E,m+=L*P,$=M,s=0;s<D;s++)$.r=C,$.g=T,$.b=E,$.a=P,$=$.next;for(u=r,s=1;s<=t;s++)c=u+o<<2,f+=($.r=C=n[c])*(N=D-s),h+=($.g=T=n[c+1])*N,p+=($.b=E=n[c+2])*N,m+=($.a=P=n[c+3])*N,v+=C,S+=T,w+=E,x+=P,$=$.next,s<k&&(u+=r);for(c=o,B=M,U=R,a=0;a<i;a++)l=c<<2,n[l+3]=P=m*G>>Y,P>0?(P=255/P,n[l]=(f*G>>Y)*P,n[l+1]=(h*G>>Y)*P,n[l+2]=(p*G>>Y)*P):n[l]=n[l+1]=n[l+2]=0,f-=_,h-=b,p-=y,m-=g,_-=B.r,b-=B.g,y-=B.b,g-=B.a,l=o+((l=a+D)<k?l:k)*r<<2,f+=v+=B.r=n[l],h+=S+=B.g=n[l+1],p+=w+=B.b=n[l+2],m+=x+=B.a=n[l+3],B=B.next,_+=C=U.r,b+=T=U.g,y+=E=U.b,g+=P=U.a,v-=C,S-=T,w-=E,x-=P,U=U.next,c+=r}}const B5e=function(t){var n=Math.round(this.blurRadius());n>0&&F5e(t,n)};Bx.Blur=B5e;LO.Factory.addGetterSetter($5e.Node,"blurRadius",0,(0,N5e.getNumberValidator)(),LO.Factory.afterSetFilter);var zx={};Object.defineProperty(zx,"__esModule",{value:!0});zx.Brighten=void 0;const BO=kt,z5e=rr,j5e=Xe,U5e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};zx.Brighten=U5e;BO.Factory.addGetterSetter(z5e.Node,"brightness",0,(0,j5e.getNumberValidator)(),BO.Factory.afterSetFilter);var jx={};Object.defineProperty(jx,"__esModule",{value:!0});jx.Contrast=void 0;const zO=kt,V5e=rr,G5e=Xe,q5e=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,a=150,s;for(s=0;s<r;s+=4)i=n[s],o=n[s+1],a=n[s+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,a/=255,a-=.5,a*=t,a+=.5,a*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,a=a<0?0:a>255?255:a,n[s]=i,n[s+1]=o,n[s+2]=a};jx.Contrast=q5e;zO.Factory.addGetterSetter(V5e.Node,"contrast",0,(0,G5e.getNumberValidator)(),zO.Factory.afterSetFilter);var Ux={};Object.defineProperty(Ux,"__esModule",{value:!0});Ux.Emboss=void 0;const gc=kt,Vx=rr,H5e=fr,aq=Xe,W5e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,a=0,s=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,a=-1;break;case"top":o=-1,a=0;break;case"top-right":o=-1,a=1;break;case"right":o=0,a=1;break;case"bottom-right":o=1,a=1;break;case"bottom":o=1,a=0;break;case"bottom-left":o=1,a=-1;break;case"left":o=0,a=-1;break;default:H5e.Util.error("Unknown emboss direction: "+r)}do{var f=(d-1)*c,h=o;d+h<1&&(h=0),d+h>u&&(h=0);var p=(d-1+h)*l*4,m=l;do{var _=f+(m-1)*4,b=a;m+b<1&&(b=0),m+b>l&&(b=0);var y=p+(m-1+b)*4,g=s[_]-s[y],v=s[_+1]-s[y+1],S=s[_+2]-s[y+2],w=g,x=w>0?w:-w,C=v>0?v:-v,T=S>0?S:-S;if(C>x&&(w=v),T>x&&(w=S),w*=t,i){var E=s[_]+w,P=s[_+1]+w,N=s[_+2]+w;s[_]=E>255?255:E<0?0:E,s[_+1]=P>255?255:P<0?0:P,s[_+2]=N>255?255:N<0?0:N}else{var O=n-w;O<0?O=0:O>255&&(O=255),s[_]=s[_+1]=s[_+2]=O}}while(--m)}while(--d)};Ux.Emboss=W5e;gc.Factory.addGetterSetter(Vx.Node,"embossStrength",.5,(0,aq.getNumberValidator)(),gc.Factory.afterSetFilter);gc.Factory.addGetterSetter(Vx.Node,"embossWhiteLevel",.5,(0,aq.getNumberValidator)(),gc.Factory.afterSetFilter);gc.Factory.addGetterSetter(Vx.Node,"embossDirection","top-left",null,gc.Factory.afterSetFilter);gc.Factory.addGetterSetter(Vx.Node,"embossBlend",!1,null,gc.Factory.afterSetFilter);var Gx={};Object.defineProperty(Gx,"__esModule",{value:!0});Gx.Enhance=void 0;const jO=kt,K5e=rr,Q5e=Xe;function g5(e,t,n,r,i){var o=n-t,a=i-r,s;return o===0?r+a/2:a===0?r:(s=(e-t)/o,s=a*s+r,s)}const X5e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,a=t[1],s=a,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<a?a=l:l>s&&(s=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),s===a&&(s=255,a=0),c===u&&(c=255,u=0);var p,m,_,b,y,g,v,S,w;for(h>0?(m=i+h*(255-i),_=r-h*(r-0),y=s+h*(255-s),g=a-h*(a-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),_=r+h*(r-p),b=(s+a)*.5,y=s+h*(s-b),g=a+h*(a-b),v=(c+u)*.5,S=c+h*(c-v),w=u+h*(u-v)),f=0;f<n;f+=4)t[f+0]=g5(t[f+0],r,i,_,m),t[f+1]=g5(t[f+1],a,s,g,y),t[f+2]=g5(t[f+2],u,c,w,S)}};Gx.Enhance=X5e;jO.Factory.addGetterSetter(K5e.Node,"enhance",0,(0,Q5e.getNumberValidator)(),jO.Factory.afterSetFilter);var qx={};Object.defineProperty(qx,"__esModule",{value:!0});qx.Grayscale=void 0;const Y5e=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};qx.Grayscale=Y5e;var Hx={};Object.defineProperty(Hx,"__esModule",{value:!0});Hx.HSL=void 0;const cp=kt,G4=rr,q4=Xe;cp.Factory.addGetterSetter(G4.Node,"hue",0,(0,q4.getNumberValidator)(),cp.Factory.afterSetFilter);cp.Factory.addGetterSetter(G4.Node,"saturation",0,(0,q4.getNumberValidator)(),cp.Factory.afterSetFilter);cp.Factory.addGetterSetter(G4.Node,"luminance",0,(0,q4.getNumberValidator)(),cp.Factory.afterSetFilter);const Z5e=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,a=this.luminance()*127,s,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),c=.299*r+.701*l+.167*u,d=.587*r-.587*l+.33*u,f=.114*r-.114*l-.497*u,h=.299*r-.299*l-.328*u,p=.587*r+.413*l+.035*u,m=.114*r-.114*l+.293*u,_=.299*r-.3*l+1.25*u,b=.587*r-.586*l-1.05*u,y=.114*r+.886*l-.2*u,g,v,S,w;for(s=0;s<n;s+=4)g=t[s+0],v=t[s+1],S=t[s+2],w=t[s+3],t[s+0]=c*g+d*v+f*S+a,t[s+1]=h*g+p*v+m*S+a,t[s+2]=_*g+b*v+y*S+a,t[s+3]=w};Hx.HSL=Z5e;var Wx={};Object.defineProperty(Wx,"__esModule",{value:!0});Wx.HSV=void 0;const dp=kt,H4=rr,W4=Xe,J5e=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,a,s=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*s+.167*l,c=.587*r-.587*s+.33*l,d=.114*r-.114*s-.497*l,f=.299*r-.299*s-.328*l,h=.587*r+.413*s+.035*l,p=.114*r-.114*s+.293*l,m=.299*r-.3*s+1.25*l,_=.587*r-.586*s-1.05*l,b=.114*r+.886*s-.2*l,y,g,v,S;for(a=0;a<n;a+=4)y=t[a+0],g=t[a+1],v=t[a+2],S=t[a+3],t[a+0]=u*y+c*g+d*v,t[a+1]=f*y+h*g+p*v,t[a+2]=m*y+_*g+b*v,t[a+3]=S};Wx.HSV=J5e;dp.Factory.addGetterSetter(H4.Node,"hue",0,(0,W4.getNumberValidator)(),dp.Factory.afterSetFilter);dp.Factory.addGetterSetter(H4.Node,"saturation",0,(0,W4.getNumberValidator)(),dp.Factory.afterSetFilter);dp.Factory.addGetterSetter(H4.Node,"value",0,(0,W4.getNumberValidator)(),dp.Factory.afterSetFilter);var Kx={};Object.defineProperty(Kx,"__esModule",{value:!0});Kx.Invert=void 0;const e3e=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};Kx.Invert=e3e;var Qx={};Object.defineProperty(Qx,"__esModule",{value:!0});Qx.Kaleidoscope=void 0;const Q_=kt,sq=rr,UO=fr,lq=Xe;var t3e=function(e,t,n){var r=e.data,i=t.data,o=e.width,a=e.height,s=n.polarCenterX||o/2,l=n.polarCenterY||a/2,u,c,d,f=0,h=0,p=0,m=0,_,b=Math.sqrt(s*s+l*l);c=o-s,d=a-l,_=Math.sqrt(c*c+d*d),b=_>b?_:b;var y=a,g=o,v,S,w=360/g*Math.PI/180,x,C;for(S=0;S<g;S+=1)for(x=Math.sin(S*w),C=Math.cos(S*w),v=0;v<y;v+=1)c=Math.floor(s+b*v/y*C),d=Math.floor(l+b*v/y*x),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(S+v*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},n3e=function(e,t,n){var r=e.data,i=t.data,o=e.width,a=e.height,s=n.polarCenterX||o/2,l=n.polarCenterY||a/2,u,c,d,f,h,p=0,m=0,_=0,b=0,y,g=Math.sqrt(s*s+l*l);c=o-s,d=a-l,y=Math.sqrt(c*c+d*d),g=y>g?y:g;var v=a,S=o,w,x,C=n.polarRotation||0,T,E;for(c=0;c<o;c+=1)for(d=0;d<a;d+=1)f=c-s,h=d-l,w=Math.sqrt(f*f+h*h)*v/g,x=(Math.atan2(h,f)*180/Math.PI+360+C)%360,x=x*S/360,T=Math.floor(x),E=Math.floor(w),u=(E*o+T)*4,p=r[u+0],m=r[u+1],_=r[u+2],b=r[u+3],u=(d*o+c)*4,i[u+0]=p,i[u+1]=m,i[u+2]=_,i[u+3]=b};const r3e=function(e){var t=e.width,n=e.height,r,i,o,a,s,l,u,c,d,f,h=Math.round(this.kaleidoscopePower()),p=Math.round(this.kaleidoscopeAngle()),m=Math.floor(t*(p%360)/360);if(!(h<1)){var _=UO.Util.createCanvasElement();_.width=t,_.height=n;var b=_.getContext("2d").getImageData(0,0,t,n);UO.Util.releaseCanvas(_),t3e(e,b,{polarCenterX:t/2,polarCenterY:n/2});for(var y=t/Math.pow(2,h);y<=8;)y=y*2,h-=1;y=Math.ceil(y);var g=y,v=0,S=g,w=1;for(m+y>t&&(v=g,S=0,w=-1),i=0;i<n;i+=1)for(r=v;r!==S;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,s=b.data[d+0],l=b.data[d+1],u=b.data[d+2],c=b.data[d+3],f=(t*i+r)*4,b.data[f+0]=s,b.data[f+1]=l,b.data[f+2]=u,b.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(y),a=0;a<h;a+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,s=b.data[d+0],l=b.data[d+1],u=b.data[d+2],c=b.data[d+3],f=(t*i+g*2-r-1)*4,b.data[f+0]=s,b.data[f+1]=l,b.data[f+2]=u,b.data[f+3]=c;g*=2}n3e(b,e,{polarRotation:0})}};Qx.Kaleidoscope=r3e;Q_.Factory.addGetterSetter(sq.Node,"kaleidoscopePower",2,(0,lq.getNumberValidator)(),Q_.Factory.afterSetFilter);Q_.Factory.addGetterSetter(sq.Node,"kaleidoscopeAngle",0,(0,lq.getNumberValidator)(),Q_.Factory.afterSetFilter);var Xx={};Object.defineProperty(Xx,"__esModule",{value:!0});Xx.Mask=void 0;const VO=kt,i3e=rr,o3e=Xe;function Jv(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function cg(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function a3e(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function s3e(e,t){var n=Jv(e,0,0),r=Jv(e,e.width-1,0),i=Jv(e,0,e.height-1),o=Jv(e,e.width-1,e.height-1),a=t||10;if(cg(n,r)<a&&cg(r,o)<a&&cg(o,i)<a&&cg(i,n)<a){for(var s=a3e([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var c=cg(s,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=c<a?0:255}return l}}function l3e(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function u3e(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),a=[],s=0;s<n;s++)for(var l=0;l<t;l++){for(var u=s*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=s+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,_=r[d*i+f];c+=e[m]*_}}a[u]=c===255*8?255:0}return a}function c3e(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),a=[],s=0;s<n;s++)for(var l=0;l<t;l++){for(var u=s*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=s+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,_=r[d*i+f];c+=e[m]*_}}a[u]=c>=255*4?255:0}return a}function d3e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),a=[],s=0;s<n;s++)for(var l=0;l<t;l++){for(var u=s*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=s+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,_=r[d*i+f];c+=e[m]*_}}a[u]=c}return a}const f3e=function(e){var t=this.threshold(),n=s3e(e,t);return n&&(n=u3e(n,e.width,e.height),n=c3e(n,e.width,e.height),n=d3e(n,e.width,e.height),l3e(e,n)),e};Xx.Mask=f3e;VO.Factory.addGetterSetter(i3e.Node,"threshold",0,(0,o3e.getNumberValidator)(),VO.Factory.afterSetFilter);var Yx={};Object.defineProperty(Yx,"__esModule",{value:!0});Yx.Noise=void 0;const GO=kt,h3e=rr,p3e=Xe,g3e=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};Yx.Noise=g3e;GO.Factory.addGetterSetter(h3e.Node,"noise",.2,(0,p3e.getNumberValidator)(),GO.Factory.afterSetFilter);var Zx={};Object.defineProperty(Zx,"__esModule",{value:!0});Zx.Pixelate=void 0;const qO=kt,m3e=fr,y3e=rr,v3e=Xe,b3e=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,a,s,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,_,b,y,g,v=e.data;if(t<=0){m3e.Util.error("pixelSize value can not be <= 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t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),a,s;for(a=0;a<n;a+=4)s=(.34*t[a]+.5*t[a+1]+.16*t[a+2])/255,t[a]=s*r,t[a+1]=s*i,t[a+2]=s*o,t[a+3]=t[a+3]};ew.RGB=C3e;X_.Factory.addGetterSetter(K4.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});X_.Factory.addGetterSetter(K4.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});X_.Factory.addGetterSetter(K4.Node,"blue",0,w3e.RGBComponent,X_.Factory.afterSetFilter);var tw={};Object.defineProperty(tw,"__esModule",{value:!0});tw.RGBA=void 0;const P0=kt,nw=rr,A3e=Xe,E3e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),a=this.alpha(),s,l;for(s=0;s<n;s+=4)l=1-a,t[s]=r*a+t[s]*l,t[s+1]=i*a+t[s+1]*l,t[s+2]=o*a+t[s+2]*l};tw.RGBA=E3e;P0.Factory.addGetterSetter(nw.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});P0.Factory.addGetterSetter(nw.Node,"green",0,function(e){return 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t.nodes?t.edges.push({source:{node_id:Cd,field:"image"},destination:s}):ve in t.nodes?t.edges.push({source:{node_id:ve,field:"image"},destination:s}):Ke in t.nodes&&t.edges.push({source:{node_id:Ke,field:"image"},destination:s})},Fa=(e,t,n)=>{const{seamlessXAxis:r,seamlessYAxis:i}=e.generation;t.nodes[Kr]={id:Kr,type:"seamless",seamless_x:r,seamless_y:i};let o=Ee;(t.id===X4||t.id===Y_||t.id===uw||t.id===I0||t.id===yc||t.id===vc)&&(o=ye),t.edges=t.edges.filter(a=>!(a.source.node_id===n&&["unet"].includes(a.source.field))&&!(a.source.node_id===n&&["vae"].includes(a.source.field))),t.edges.push({source:{node_id:n,field:"unet"},destination:{node_id:Kr,field:"unet"}},{source:{node_id:n,field:"vae"},destination:{node_id:Kr,field:"vae"}},{source:{node_id:Kr,field:"unet"},destination:{node_id:o,field:"unet"}}),(t.id==sw||t.id===lw||t.id===yc||t.id===vc)&&t.edges.push({source:{node_id:Kr,field:"unet"},destination:{node_id:dt,field:"unet"}})},Ba=(e,t,n)=>{const r=Cse(e.controlAdapters).filter(o=>{var a,s;return((a=o.model)==null?void 0:a.base_model)===((s=e.generation.model)==null?void 0:s.base_model)}),i=t.nodes[pt];if(r.length){const o={id:t1,type:"collect",is_intermediate:!0};t.nodes[t1]=o,t.edges.push({source:{node_id:t1,field:"collection"},destination:{node_id:n,field:"t2i_adapter"}}),r.forEach(a=>{if(!a.model)return;const{id:s,controlImage:l,processedControlImage:u,beginStepPct:c,endStepPct:d,resizeMode:f,model:h,processorType:p,weight:m}=a,_={id:`t2i_adapter_${s}`,type:"t2i_adapter",is_intermediate:!0,begin_step_percent:c,end_step_percent:d,resize_mode:f,t2i_adapter_model:h,weight:m};if(u&&p!=="none")_.image={image_name:u};else if(l)_.image={image_name:l};else return;if(t.nodes[_.id]=_,i!=null&&i.ipAdapters){const b=my(_,["id","type"]);i.t2iAdapters.push(b)}t.edges.push({source:{node_id:_.id,field:"t2i_adapter"},destination:{node_id:t1,field:"item"}}),dt in t.nodes&&t.edges.push({source:{node_id:_.id,field:"t2i_adapter"},destination:{node_id:dt,field:"t2i_adapter"}})})}},za=(e,t,n=Nc)=>{const{vae:r,canvasCoherenceMode:i}=e.generation,{boundingBoxScaleMethod:o}=e.canvas,{shouldUseSDXLRefiner:a}=e.sdxl,s=["auto","manual"].includes(o),l=!r,u=t.nodes[pt];l||(t.nodes[ws]={type:"vae_loader",id:ws,is_intermediate:!0,vae_model:r});const c=n==aw;(t.id===cq||t.id===pE||t.id===X4||t.id===Y_)&&t.edges.push({source:{node_id:l?n:ws,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Ke,field:"vae"}}),(t.id===dq||t.id===gE||t.id===uw||t.id==I0)&&t.edges.push({source:{node_id:l?n:ws,field:l&&c?"vae_decoder":"vae"},destination:{node_id:s?Ke:ve,field:"vae"}}),(t.id===pE||t.id===Y_||t.id===gE||t.id===I0)&&t.edges.push({source:{node_id:l?n:ws,field:l&&c?"vae_decoder":"vae"},destination:{node_id:qn,field:"vae"}}),(t.id===sw||t.id===lw||t.id===yc||t.id===vc)&&(t.edges.push({source:{node_id:l?n:ws,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Wn,field:"vae"}},{source:{node_id:l?n:ws,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Hn,field:"vae"}},{source:{node_id:l?n:ws,field:l&&c?"vae_decoder":"vae"},destination:{node_id:Ke,field:"vae"}}),i!=="unmasked"&&t.edges.push({source:{node_id:l?n:ws,field:l&&c?"vae_decoder":"vae"},destination:{node_id:zt,field:"vae"}})),a&&(t.id===yc||t.id===vc)&&t.edges.push({source:{node_id:l?n:ws,field:l&&c?"vae_decoder":"vae"},destination:{node_id:ga,field:"vae"}}),r&&u&&(u.vae=r)},ja=(e,t,n=Ke)=>{const i=Z4(e)==="unifiedCanvas"?!e.canvas.shouldAutoSave:!1,o=t.nodes[n],a=t.nodes[Cd],s=t.nodes[pt];if(!o)return;const l={id:td,type:"img_watermark",is_intermediate:i};t.nodes[td]=l,o.is_intermediate=!0,o.use_cache=!0,a?(a.is_intermediate=!0,t.edges.push({source:{node_id:Cd,field:"image"},destination:{node_id:td,field:"image"}})):t.edges.push({source:{node_id:n,field:"image"},destination:{node_id:td,field:"image"}}),s&&t.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:td,field:"metadata"}})},OAe=(e,t)=>{const n=_e("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:a,scheduler:s,seed:l,steps:u,img2imgStrength:c,vaePrecision:d,clipSkip:f,shouldUseCpuNoise:h,seamlessXAxis:p,seamlessYAxis:m}=e.generation,{width:_,height:b}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:y,boundingBoxScaleMethod:g}=e.canvas,v=d==="fp32",S=!0,w=["auto","manual"].includes(g);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let x=Nc;const C=h,T={id:gE,nodes:{[x]:{type:"main_model_loader",id:x,is_intermediate:S,model:o},[Zt]:{type:"clip_skip",id:Zt,is_intermediate:S,skipped_layers:f},[Be]:{type:"compel",id:Be,is_intermediate:S,prompt:r},[We]:{type:"compel",id:We,is_intermediate:S,prompt:i},[Fe]:{type:"noise",id:Fe,is_intermediate:S,use_cpu:C,seed:l,width:w?y.width:_,height:w?y.height:b},[qn]:{type:"i2l",id:qn,is_intermediate:S},[Ee]:{type:"denoise_latents",id:Ee,is_intermediate:S,cfg_scale:a,scheduler:s,steps:u,denoising_start:1-c,denoising_end:1},[ve]:{type:"l2i",id:ve,is_intermediate:S}},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Ee,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:Zt,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Ee,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Ee,field:"negative_conditioning"}},{source:{node_id:Fe,field:"noise"},destination:{node_id:Ee,field:"noise"}},{source:{node_id:qn,field:"latents"},destination:{node_id:Ee,field:"latents"}}]};return w?(T.nodes[Ah]={id:Ah,type:"img_resize",is_intermediate:S,image:t,width:y.width,height:y.height},T.nodes[Ke]={id:Ke,type:"l2i",is_intermediate:S,fp32:v},T.nodes[ve]={id:ve,type:"img_resize",is_intermediate:S,width:_,height:b},T.edges.push({source:{node_id:Ah,field:"image"},destination:{node_id:qn,field:"image"}},{source:{node_id:Ee,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ve,field:"image"}})):(T.nodes[ve]={type:"l2i",id:ve,is_intermediate:S,fp32:v},T.nodes[qn].image=t,T.edges.push({source:{node_id:Ee,field:"latents"},destination:{node_id:ve,field:"latents"}})),T.nodes[pt]={id:pt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:a,width:w?y.width:_,height:w?y.height:b,positive_prompt:r,negative_prompt:i,model:o,seed:l,steps:u,rand_device:C?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],ipAdapters:[],t2iAdapters:[],clip_skip:f,strength:c,init_image:t.image_name},(p||m)&&(Fa(e,T,x),x=Kr),Mp(e,T,Ee),za(e,T,x),$a(e,T,Ee),Na(e,T,Ee),Ba(e,T,Ee),e.system.shouldUseNSFWChecker&&Da(e,T,ve),e.system.shouldUseWatermarker&&ja(e,T,ve),La(e,T),T},MAe=(e,t,n)=>{const r=_e("nodes"),{positivePrompt:i,negativePrompt:o,model:a,cfgScale:s,scheduler:l,steps:u,img2imgStrength:c,seed:d,vaePrecision:f,shouldUseCpuNoise:h,maskBlur:p,maskBlurMethod:m,canvasCoherenceMode:_,canvasCoherenceSteps:b,canvasCoherenceStrength:y,clipSkip:g,seamlessXAxis:v,seamlessYAxis:S}=e.generation;if(!a)throw r.error("No Image found in state"),new Error("No Image found in state");const{width:w,height:x}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:C,boundingBoxScaleMethod:T}=e.canvas,E=!0,P=f==="fp32",N=["auto","manual"].includes(T);let O=Nc;const A=h,k={id:sw,nodes:{[O]:{type:"main_model_loader",id:O,is_intermediate:E,model:a},[Zt]:{type:"clip_skip",id:Zt,is_intermediate:E,skipped_layers:g},[Be]:{type:"compel",id:Be,is_intermediate:E,prompt:i},[We]:{type:"compel",id:We,is_intermediate:E,prompt:o},[Ui]:{type:"img_blur",id:Ui,is_intermediate:E,radius:p,blur_type:m},[Wn]:{type:"i2l",id:Wn,is_intermediate:E,fp32:P},[Fe]:{type:"noise",id:Fe,use_cpu:A,seed:d,is_intermediate:E},[Hn]:{type:"create_denoise_mask",id:Hn,is_intermediate:E,fp32:P},[Ee]:{type:"denoise_latents",id:Ee,is_intermediate:E,steps:u,cfg_scale:s,scheduler:l,denoising_start:1-c,denoising_end:1},[Vt]:{type:"noise",id:Vt,use_cpu:A,seed:d+1,is_intermediate:E},[mc]:{type:"add",id:mc,b:1,is_intermediate:E},[dt]:{type:"denoise_latents",id:dt,is_intermediate:E,steps:b,cfg_scale:s,scheduler:l,denoising_start:1-y,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:E,fp32:P},[ve]:{type:"color_correct",id:ve,is_intermediate:E,reference:t}},edges:[{source:{node_id:O,field:"unet"},destination:{node_id:Ee,field:"unet"}},{source:{node_id:O,field:"clip"},destination:{node_id:Zt,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Ee,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Ee,field:"negative_conditioning"}},{source:{node_id:Fe,field:"noise"},destination:{node_id:Ee,field:"noise"}},{source:{node_id:Wn,field:"latents"},destination:{node_id:Ee,field:"latents"}},{source:{node_id:Ui,field:"image"},destination:{node_id:Hn,field:"mask"}},{source:{node_id:Hn,field:"denoise_mask"},destination:{node_id:Ee,field:"denoise_mask"}},{source:{node_id:O,field:"unet"},destination:{node_id:dt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:dt,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:dt,field:"negative_conditioning"}},{source:{node_id:Vt,field:"noise"},destination:{node_id:dt,field:"noise"}},{source:{node_id:Ee,field:"latents"},destination:{node_id:dt,field:"latents"}},{source:{node_id:dt,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(N){const D=C.width,L=C.height;k.nodes[ki]={type:"img_resize",id:ki,is_intermediate:E,width:D,height:L,image:t},k.nodes[Mn]={type:"img_resize",id:Mn,is_intermediate:E,width:D,height:L,image:n},k.nodes[qi]={type:"img_resize",id:qi,is_intermediate:E,width:w,height:x},k.nodes[Hi]={type:"img_resize",id:Hi,is_intermediate:E,width:w,height:x},k.nodes[Fe].width=D,k.nodes[Fe].height=L,k.nodes[Vt].width=D,k.nodes[Vt].height=L,k.edges.push({source:{node_id:ki,field:"image"},destination:{node_id:Wn,field:"image"}},{source:{node_id:Mn,field:"image"},destination:{node_id:Ui,field:"image"}},{source:{node_id:ki,field:"image"},destination:{node_id:Hn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:qi,field:"image"}},{source:{node_id:qi,field:"image"},destination:{node_id:ve,field:"image"}},{source:{node_id:Ui,field:"image"},destination:{node_id:Hi,field:"image"}},{source:{node_id:Hi,field:"image"},destination:{node_id:ve,field:"mask"}})}else k.nodes[Fe].width=w,k.nodes[Fe].height=x,k.nodes[Vt].width=w,k.nodes[Vt].height=x,k.nodes[Wn]={...k.nodes[Wn],image:t},k.nodes[Ui]={...k.nodes[Ui],image:n},k.nodes[Hn]={...k.nodes[Hn],image:t},k.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:ve,field:"image"}},{source:{node_id:Ui,field:"image"},destination:{node_id:ve,field:"mask"}});return _!=="unmasked"&&(k.nodes[zt]={type:"create_denoise_mask",id:zt,is_intermediate:E,fp32:P},N?k.edges.push({source:{node_id:ki,field:"image"},destination:{node_id:zt,field:"image"}}):k.nodes[zt]={...k.nodes[zt],image:t},_==="mask"&&(N?k.edges.push({source:{node_id:Mn,field:"image"},destination:{node_id:zt,field:"mask"}}):k.nodes[zt]={...k.nodes[zt],mask:n}),_==="edge"&&(k.nodes[yr]={type:"mask_edge",id:yr,is_intermediate:E,edge_blur:p,edge_size:p*2,low_threshold:100,high_threshold:200},N?k.edges.push({source:{node_id:Mn,field:"image"},destination:{node_id:yr,field:"image"}}):k.nodes[yr]={...k.nodes[yr],image:n},k.edges.push({source:{node_id:yr,field:"image"},destination:{node_id:zt,field:"mask"}})),k.edges.push({source:{node_id:zt,field:"denoise_mask"},destination:{node_id:dt,field:"denoise_mask"}})),(v||S)&&(Fa(e,k,O),O=Kr),za(e,k,O),Mp(e,k,Ee,O),$a(e,k,Ee),Na(e,k,Ee),Ba(e,k,Ee),e.system.shouldUseNSFWChecker&&Da(e,k,ve),e.system.shouldUseWatermarker&&ja(e,k,ve),La(e,k),k},$Ae=(e,t,n)=>{const r=_e("nodes"),{positivePrompt:i,negativePrompt:o,model:a,cfgScale:s,scheduler:l,steps:u,img2imgStrength:c,seed:d,vaePrecision:f,shouldUseCpuNoise:h,maskBlur:p,canvasCoherenceMode:m,canvasCoherenceSteps:_,canvasCoherenceStrength:b,infillTileSize:y,infillPatchmatchDownscaleSize:g,infillMethod:v,clipSkip:S,seamlessXAxis:w,seamlessYAxis:x}=e.generation;if(!a)throw r.error("No model found in state"),new Error("No model found in state");const{width:C,height:T}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:E,boundingBoxScaleMethod:P}=e.canvas,N=f==="fp32",O=!0,A=["auto","manual"].includes(P);let k=Nc;const D=h,L={id:lw,nodes:{[k]:{type:"main_model_loader",id:k,is_intermediate:O,model:a},[Zt]:{type:"clip_skip",id:Zt,is_intermediate:O,skipped_layers:S},[Be]:{type:"compel",id:Be,is_intermediate:O,prompt:i},[We]:{type:"compel",id:We,is_intermediate:O,prompt:o},[Eh]:{type:"tomask",id:Eh,is_intermediate:O,image:t},[Ei]:{type:"mask_combine",id:Ei,is_intermediate:O,mask2:n},[Wn]:{type:"i2l",id:Wn,is_intermediate:O,fp32:N},[Fe]:{type:"noise",id:Fe,use_cpu:D,seed:d,is_intermediate:O},[Hn]:{type:"create_denoise_mask",id:Hn,is_intermediate:O,fp32:N},[Ee]:{type:"denoise_latents",id:Ee,is_intermediate:O,steps:u,cfg_scale:s,scheduler:l,denoising_start:1-c,denoising_end:1},[Vt]:{type:"noise",id:Vt,use_cpu:D,seed:d+1,is_intermediate:O},[mc]:{type:"add",id:mc,b:1,is_intermediate:O},[dt]:{type:"denoise_latents",id:dt,is_intermediate:O,steps:_,cfg_scale:s,scheduler:l,denoising_start:1-b,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:O,fp32:N},[ve]:{type:"color_correct",id:ve,is_intermediate:O}},edges:[{source:{node_id:k,field:"unet"},destination:{node_id:Ee,field:"unet"}},{source:{node_id:k,field:"clip"},destination:{node_id:Zt,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:Kt,field:"image"},destination:{node_id:Wn,field:"image"}},{source:{node_id:Eh,field:"image"},destination:{node_id:Ei,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Ee,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Ee,field:"negative_conditioning"}},{source:{node_id:Fe,field:"noise"},destination:{node_id:Ee,field:"noise"}},{source:{node_id:Wn,field:"latents"},destination:{node_id:Ee,field:"latents"}},{source:{node_id:A?Mn:Ei,field:"image"},destination:{node_id:Hn,field:"mask"}},{source:{node_id:Hn,field:"denoise_mask"},destination:{node_id:Ee,field:"denoise_mask"}},{source:{node_id:k,field:"unet"},destination:{node_id:dt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:dt,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:dt,field:"negative_conditioning"}},{source:{node_id:Vt,field:"noise"},destination:{node_id:dt,field:"noise"}},{source:{node_id:Ee,field:"latents"},destination:{node_id:dt,field:"latents"}},{source:{node_id:Kt,field:"image"},destination:{node_id:Hn,field:"image"}},{source:{node_id:dt,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(v==="patchmatch"&&(L.nodes[Kt]={type:"infill_patchmatch",id:Kt,is_intermediate:O,downscale:g}),v==="lama"&&(L.nodes[Kt]={type:"infill_lama",id:Kt,is_intermediate:O}),v==="cv2"&&(L.nodes[Kt]={type:"infill_cv2",id:Kt,is_intermediate:O}),v==="tile"&&(L.nodes[Kt]={type:"infill_tile",id:Kt,is_intermediate:O,tile_size:y}),A){const M=E.width,R=E.height;L.nodes[ki]={type:"img_resize",id:ki,is_intermediate:O,width:M,height:R,image:t},L.nodes[Mn]={type:"img_resize",id:Mn,is_intermediate:O,width:M,height:R},L.nodes[qi]={type:"img_resize",id:qi,is_intermediate:O,width:C,height:T},L.nodes[Uu]={type:"img_resize",id:Uu,is_intermediate:O,width:C,height:T},L.nodes[Hi]={type:"img_resize",id:Hi,is_intermediate:O,width:C,height:T},L.nodes[Fe].width=M,L.nodes[Fe].height=R,L.nodes[Vt].width=M,L.nodes[Vt].height=R,L.edges.push({source:{node_id:ki,field:"image"},destination:{node_id:Kt,field:"image"}},{source:{node_id:Ei,field:"image"},destination:{node_id:Mn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:qi,field:"image"}},{source:{node_id:Mn,field:"image"},destination:{node_id:Hi,field:"image"}},{source:{node_id:Kt,field:"image"},destination:{node_id:Uu,field:"image"}},{source:{node_id:Uu,field:"image"},destination:{node_id:ve,field:"reference"}},{source:{node_id:qi,field:"image"},destination:{node_id:ve,field:"image"}},{source:{node_id:Hi,field:"image"},destination:{node_id:ve,field:"mask"}})}else L.nodes[Kt]={...L.nodes[Kt],image:t},L.nodes[Fe].width=C,L.nodes[Fe].height=T,L.nodes[Vt].width=C,L.nodes[Vt].height=T,L.nodes[Wn]={...L.nodes[Wn],image:t},L.edges.push({source:{node_id:Kt,field:"image"},destination:{node_id:ve,field:"reference"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ve,field:"image"}},{source:{node_id:Ei,field:"image"},destination:{node_id:ve,field:"mask"}});return m!=="unmasked"&&(L.nodes[zt]={type:"create_denoise_mask",id:zt,is_intermediate:O,fp32:N},L.edges.push({source:{node_id:Kt,field:"image"},destination:{node_id:zt,field:"image"}}),m==="mask"&&(A?L.edges.push({source:{node_id:Mn,field:"image"},destination:{node_id:zt,field:"mask"}}):L.edges.push({source:{node_id:Ei,field:"image"},destination:{node_id:zt,field:"mask"}})),m==="edge"&&(L.nodes[yr]={type:"mask_edge",id:yr,is_intermediate:O,edge_blur:p,edge_size:p*2,low_threshold:100,high_threshold:200},A?L.edges.push({source:{node_id:Mn,field:"image"},destination:{node_id:yr,field:"image"}}):L.edges.push({source:{node_id:Ei,field:"image"},destination:{node_id:yr,field:"image"}}),L.edges.push({source:{node_id:yr,field:"image"},destination:{node_id:zt,field:"mask"}})),L.edges.push({source:{node_id:zt,field:"denoise_mask"},destination:{node_id:dt,field:"denoise_mask"}})),(w||x)&&(Fa(e,L,k),k=Kr),za(e,L,k),Mp(e,L,Ee,k),$a(e,L,Ee),Na(e,L,Ee),Ba(e,L,Ee),e.system.shouldUseNSFWChecker&&Da(e,L,ve),e.system.shouldUseWatermarker&&ja(e,L,ve),La(e,L),L},$p=(e,t,n,r=Vi)=>{const{loras:i}=e.lora,o=o2(i),a=t.nodes[pt],s=r;let l=r;[Kr,ga].includes(r)&&(l=Vi),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===s&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;Xl(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${uq}_${f.replace(".","_")}`,_={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};a&&(a.loras||(a.loras=[]),a.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=_,c===0?(t.edges.push({source:{node_id:s,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[yc,vc].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:dt,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Be,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:We,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Be,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:We,field:"clip2"}})),u=m,c+=1})},of=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o,shouldConcatSDXLStylePrompt:a}=e.sdxl,s=a||t?[n,i].join(" 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v=r||Vi,{joinedPositiveStylePrompt:S,joinedNegativeStylePrompt:w}=of(e,!0);t.edges=t.edges.filter(x=>!(x.source.node_id===n&&["latents"].includes(x.source.field))),t.edges=t.edges.filter(x=>!(x.source.node_id===v&&["vae"].includes(x.source.field))),t.nodes[Vc]={type:"sdxl_refiner_model_loader",id:Vc,model:a},t.nodes[n1]={type:"sdxl_refiner_compel_prompt",id:n1,style:S,aesthetic_score:s},t.nodes[r1]={type:"sdxl_refiner_compel_prompt",id:r1,style:w,aesthetic_score:l},t.nodes[Cs]={type:"denoise_latents",id:Cs,cfg_scale:d,steps:u,scheduler:c,denoising_start:f,denoising_end:1},h||p?(t.nodes[ts]={id:ts,type:"seamless",seamless_x:h,seamless_y:p},t.edges.push({source:{node_id:Vc,field:"unet"},destination:{node_id:ts,field:"unet"}},{source:{node_id:Vc,field:"vae"},destination:{node_id:ts,field:"vae"}},{source:{node_id:ts,field:"unet"},destination:{node_id:Cs,field:"unet"}})):t.edges.push({source:{node_id:Vc,field:"unet"},destination:{node_id:Cs,field:"unet"}}),t.edges.push({source:{node_id:Vc,field:"clip2"},destination:{node_id:n1,field:"clip2"}},{source:{node_id:Vc,field:"clip2"},destination:{node_id:r1,field:"clip2"}},{source:{node_id:n1,field:"conditioning"},destination:{node_id:Cs,field:"positive_conditioning"}},{source:{node_id:r1,field:"conditioning"},destination:{node_id:Cs,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:Cs,field:"latents"}}),(t.id===yc||t.id===vc)&&(t.nodes[ga]={type:"create_denoise_mask",id:ga,is_intermediate:!0,fp32:b},y?t.edges.push({source:{node_id:ki,field:"image"},destination:{node_id:ga,field:"image"}}):t.nodes[ga]={...t.nodes[ga],image:i},t.id===yc&&(y?t.edges.push({source:{node_id:Mn,field:"image"},destination:{node_id:ga,field:"mask"}}):t.nodes[ga]={...t.nodes[ga],mask:o}),t.id===vc&&t.edges.push({source:{node_id:y?Mn:Ei,field:"image"},destination:{node_id:ga,field:"mask"}}),t.edges.push({source:{node_id:ga,field:"denoise_mask"},destination:{node_id:Cs,field:"denoise_mask"}})),t.id===uw||t.id===I0?t.edges.push({source:{node_id:Cs,field:"latents"},destination:{node_id:y?Ke:ve,field:"latents"}}):t.edges.push({source:{node_id:Cs,field:"latents"},destination:{node_id:Ke,field:"latents"}})},NAe=(e,t)=>{const n=_e("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:a,scheduler:s,seed:l,steps:u,vaePrecision:c,shouldUseCpuNoise:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{shouldUseSDXLRefiner:p,refinerStart:m,sdxlImg2ImgDenoisingStrength:_}=e.sdxl,{width:b,height:y}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:g,boundingBoxScaleMethod:v}=e.canvas,S=c==="fp32",w=!0,x=["auto","manual"].includes(v);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let C=Vi;const 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0,controlnets:[],loras:[],ipAdapters:[],t2iAdapters:[],strength:_,init_image:t.image_name},N.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:ve,field:"metadata"}}),(f||h)&&(Fa(e,N,C),C=Kr),p&&(Np(e,N,ye,C),(f||h)&&(C=ts)),za(e,N,C),$p(e,N,ye,C),$a(e,N,ye),Na(e,N,ye),Ba(e,N,ye),e.system.shouldUseNSFWChecker&&Da(e,N,ve),e.system.shouldUseWatermarker&&ja(e,N,ve),La(e,N),N},DAe=(e,t,n)=>{const r=_e("nodes"),{positivePrompt:i,negativePrompt:o,model:a,cfgScale:s,scheduler:l,steps:u,seed:c,vaePrecision:d,shouldUseCpuNoise:f,maskBlur:h,maskBlurMethod:p,canvasCoherenceMode:m,canvasCoherenceSteps:_,canvasCoherenceStrength:b,seamlessXAxis:y,seamlessYAxis:g}=e.generation,{sdxlImg2ImgDenoisingStrength:v,shouldUseSDXLRefiner:S,refinerStart:w}=e.sdxl;if(!a)throw r.error("No model found in state"),new Error("No model found in 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k=f,{joinedPositiveStylePrompt:D,joinedNegativeStylePrompt:L}=of(e),M={id:yc,nodes:{[A]:{type:"sdxl_model_loader",id:A,model:a},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:D},[We]:{type:"sdxl_compel_prompt",id:We,prompt:o,style:L},[Ui]:{type:"img_blur",id:Ui,is_intermediate:N,radius:h,blur_type:p},[Wn]:{type:"i2l",id:Wn,is_intermediate:N,fp32:P},[Fe]:{type:"noise",id:Fe,use_cpu:k,seed:c,is_intermediate:N},[Hn]:{type:"create_denoise_mask",id:Hn,is_intermediate:N,fp32:P},[ye]:{type:"denoise_latents",id:ye,is_intermediate:N,steps:u,cfg_scale:s,scheduler:l,denoising_start:S?Math.min(w,1-v):1-v,denoising_end:S?w:1},[Vt]:{type:"noise",id:Vt,use_cpu:k,seed:c+1,is_intermediate:N},[mc]:{type:"add",id:mc,b:1,is_intermediate:N},[dt]:{type:"denoise_latents",id:dt,is_intermediate:N,steps:_,cfg_scale:s,scheduler:l,denoising_start:1-b,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:N,fp32:P},[ve]:{type:"color_correct",id:ve,is_intermediate:N,reference:t}},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:ye,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:A,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:A,field:"clip2"},destination:{node_id:We,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:ye,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:ye,field:"negative_conditioning"}},{source:{node_id:Fe,field:"noise"},destination:{node_id:ye,field:"noise"}},{source:{node_id:Wn,field:"latents"},destination:{node_id:ye,field:"latents"}},{source:{node_id:Ui,field:"image"},destination:{node_id:Hn,field:"mask"}},{source:{node_id:Hn,field:"denoise_mask"},destination:{node_id:ye,field:"denoise_mask"}},{source:{node_id:A,field:"unet"},destination:{node_id:dt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:dt,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:dt,field:"negative_conditioning"}},{source:{node_id:Vt,field:"noise"},destination:{node_id:dt,field:"noise"}},{source:{node_id:ye,field:"latents"},destination:{node_id:dt,field:"latents"}},{source:{node_id:dt,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(O){const R=T.width,$=T.height;M.nodes[ki]={type:"img_resize",id:ki,is_intermediate:N,width:R,height:$,image:t},M.nodes[Mn]={type:"img_resize",id:Mn,is_intermediate:N,width:R,height:$,image:n},M.nodes[qi]={type:"img_resize",id:qi,is_intermediate:N,width:x,height:C},M.nodes[Hi]={type:"img_resize",id:Hi,is_intermediate:N,width:x,height:C},M.nodes[Fe].width=R,M.nodes[Fe].height=$,M.nodes[Vt].width=R,M.nodes[Vt].height=$,M.edges.push({source:{node_id:ki,field:"image"},destination:{node_id:Wn,field:"image"}},{source:{node_id:Mn,field:"image"},destination:{node_id:Ui,field:"image"}},{source:{node_id:ki,field:"image"},destination:{node_id:Hn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:qi,field:"image"}},{source:{node_id:qi,field:"image"},destination:{node_id:ve,field:"image"}},{source:{node_id:Ui,field:"image"},destination:{node_id:Hi,field:"image"}},{source:{node_id:Hi,field:"image"},destination:{node_id:ve,field:"mask"}})}else M.nodes[Fe].width=x,M.nodes[Fe].height=C,M.nodes[Vt].width=x,M.nodes[Vt].height=C,M.nodes[Wn]={...M.nodes[Wn],image:t},M.nodes[Ui]={...M.nodes[Ui],image:n},M.nodes[Hn]={...M.nodes[Hn],image:t},M.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:ve,field:"image"}},{source:{node_id:Ui,field:"image"},destination:{node_id:ve,field:"mask"}});return m!=="unmasked"&&(M.nodes[zt]={type:"create_denoise_mask",id:zt,is_intermediate:N,fp32:P},O?M.edges.push({source:{node_id:ki,field:"image"},destination:{node_id:zt,field:"image"}}):M.nodes[zt]={...M.nodes[zt],image:t},m==="mask"&&(O?M.edges.push({source:{node_id:Mn,field:"image"},destination:{node_id:zt,field:"mask"}}):M.nodes[zt]={...M.nodes[zt],mask:n}),m==="edge"&&(M.nodes[yr]={type:"mask_edge",id:yr,is_intermediate:N,edge_blur:h,edge_size:h*2,low_threshold:100,high_threshold:200},O?M.edges.push({source:{node_id:Mn,field:"image"},destination:{node_id:yr,field:"image"}}):M.nodes[yr]={...M.nodes[yr],image:n},M.edges.push({source:{node_id:yr,field:"image"},destination:{node_id:zt,field:"mask"}})),M.edges.push({source:{node_id:zt,field:"denoise_mask"},destination:{node_id:dt,field:"denoise_mask"}})),(y||g)&&(Fa(e,M,A),A=Kr),S&&(Np(e,M,dt,A,t,n),(y||g)&&(A=ts)),za(e,M,A),$p(e,M,ye,A),$a(e,M,ye),Na(e,M,ye),Ba(e,M,ye),e.system.shouldUseNSFWChecker&&Da(e,M,ve),e.system.shouldUseWatermarker&&ja(e,M,ve),La(e,M),M},LAe=(e,t,n)=>{const 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p!=="unmasked"&&($.nodes[zt]={type:"create_denoise_mask",id:zt,is_intermediate:A,fp32:O},$.edges.push({source:{node_id:Kt,field:"image"},destination:{node_id:zt,field:"image"}}),p==="mask"&&(k?$.edges.push({source:{node_id:Mn,field:"image"},destination:{node_id:zt,field:"mask"}}):$.edges.push({source:{node_id:Ei,field:"image"},destination:{node_id:zt,field:"mask"}})),p==="edge"&&($.nodes[yr]={type:"mask_edge",id:yr,is_intermediate:A,edge_blur:h,edge_size:h*2,low_threshold:100,high_threshold:200},k?$.edges.push({source:{node_id:Mn,field:"image"},destination:{node_id:yr,field:"image"}}):$.edges.push({source:{node_id:Ei,field:"image"},destination:{node_id:yr,field:"image"}}),$.edges.push({source:{node_id:yr,field:"image"},destination:{node_id:zt,field:"mask"}})),$.edges.push({source:{node_id:zt,field:"denoise_mask"},destination:{node_id:dt,field:"denoise_mask"}})),(v||S)&&(Fa(e,$,D),D=Kr),x&&(Np(e,$,dt,D,t),(v||S)&&(D=ts)),za(e,$,D),$p(e,$,ye,D),$a(e,$,ye),Na(e,$,ye),Ba(e,$,ye),e.system.shouldUseNSFWChecker&&Da(e,$,ve),e.system.shouldUseWatermarker&&ja(e,$,ve),La(e,$),$},FAe=e=>{const t=_e("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:a,seed:s,steps:l,vaePrecision:u,shouldUseCpuNoise:c,seamlessXAxis:d,seamlessYAxis:f}=e.generation,{width:h,height:p}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:m,boundingBoxScaleMethod:_}=e.canvas,b=u==="fp32",y=!0,g=["auto","manual"].includes(_),{shouldUseSDXLRefiner:v,refinerStart:S}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const w=c,x=i.model_type==="onnx";let C=x?aw:Vi;const T=x?"onnx_model_loader":"sdxl_model_loader",E=x?{type:"t2l_onnx",id:ye,is_intermediate:y,cfg_scale:o,scheduler:a,steps:l}:{type:"denoise_latents",id:ye,is_intermediate:y,cfg_scale:o,scheduler:a,steps:l,denoising_start:0,denoising_end:v?S:1},{joinedPositiveStylePrompt:P,joinedNegativeStylePrompt:N}=of(e),O={id:uw,nodes:{[C]:{type:T,id:C,is_intermediate:y,model:i},[Be]:{type:x?"prompt_onnx":"sdxl_compel_prompt",id:Be,is_intermediate:y,prompt:n,style:P},[We]:{type:x?"prompt_onnx":"sdxl_compel_prompt",id:We,is_intermediate:y,prompt:r,style:N},[Fe]:{type:"noise",id:Fe,is_intermediate:y,seed:s,width:g?m.width:h,height:g?m.height:p,use_cpu:w},[E.id]:E},edges:[{source:{node_id:C,field:"unet"},destination:{node_id:ye,field:"unet"}},{source:{node_id:C,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:C,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:We,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:ye,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:ye,field:"negative_conditioning"}},{source:{node_id:Fe,field:"noise"},destination:{node_id:ye,field:"noise"}}]};return g?(O.nodes[Ke]={id:Ke,type:x?"l2i_onnx":"l2i",is_intermediate:y,fp32:b},O.nodes[ve]={id:ve,type:"img_resize",is_intermediate:y,width:h,height:p},O.edges.push({source:{node_id:ye,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ve,field:"image"}})):(O.nodes[ve]={type:x?"l2i_onnx":"l2i",id:ve,is_intermediate:y,fp32:b},O.edges.push({source:{node_id:ye,field:"latents"},destination:{node_id:ve,field:"latents"}})),O.nodes[pt]={id:pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:g?m.width:h,height:g?m.height:p,positive_prompt:n,negative_prompt:r,model:i,seed:s,steps:l,rand_device:w?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],ipAdapters:[],t2iAdapters:[]},O.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:ve,field:"metadata"}}),(d||f)&&(Fa(e,O,C),C=Kr),v&&(Np(e,O,ye,C),(d||f)&&(C=ts)),$p(e,O,ye,C),za(e,O,C),$a(e,O,ye),Na(e,O,ye),Ba(e,O,ye),e.system.shouldUseNSFWChecker&&Da(e,O,ve),e.system.shouldUseWatermarker&&ja(e,O,ve),La(e,O),O},BAe=e=>{const t=_e("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:a,seed:s,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:_,boundingBoxScaleMethod:b}=e.canvas,y=u==="fp32",g=!0,v=["auto","manual"].includes(b);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const S=d,w=i.model_type==="onnx";let x=w?aw:Nc;const C=w?"onnx_model_loader":"main_model_loader",T=w?{type:"t2l_onnx",id:Ee,is_intermediate:g,cfg_scale:o,scheduler:a,steps:l}:{type:"denoise_latents",id:Ee,is_intermediate:g,cfg_scale:o,scheduler:a,steps:l,denoising_start:0,denoising_end:1},E={id:dq,nodes:{[x]:{type:C,id:x,is_intermediate:g,model:i},[Zt]:{type:"clip_skip",id:Zt,is_intermediate:g,skipped_layers:c},[Be]:{type:w?"prompt_onnx":"compel",id:Be,is_intermediate:g,prompt:n},[We]:{type:w?"prompt_onnx":"compel",id:We,is_intermediate:g,prompt:r},[Fe]:{type:"noise",id:Fe,is_intermediate:g,seed:s,width:v?_.width:p,height:v?_.height:m,use_cpu:S},[T.id]:T},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Ee,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:Zt,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Ee,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Ee,field:"negative_conditioning"}},{source:{node_id:Fe,field:"noise"},destination:{node_id:Ee,field:"noise"}}]};return v?(E.nodes[Ke]={id:Ke,type:w?"l2i_onnx":"l2i",is_intermediate:g,fp32:y},E.nodes[ve]={id:ve,type:"img_resize",is_intermediate:g,width:p,height:m},E.edges.push({source:{node_id:Ee,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:ve,field:"image"}})):(E.nodes[ve]={type:w?"l2i_onnx":"l2i",id:ve,is_intermediate:g,fp32:y},E.edges.push({source:{node_id:Ee,field:"latents"},destination:{node_id:ve,field:"latents"}})),E.nodes[pt]={id:pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:v?_.width:p,height:v?_.height:m,positive_prompt:n,negative_prompt:r,model:i,seed:s,steps:l,rand_device:S?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],ipAdapters:[],t2iAdapters:[],clip_skip:c},E.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:ve,field:"metadata"}}),(f||h)&&(Fa(e,E,x),x=Kr),za(e,E,x),Mp(e,E,Ee,x),$a(e,E,Ee),Na(e,E,Ee),Ba(e,E,Ee),e.system.shouldUseNSFWChecker&&Da(e,E,ve),e.system.shouldUseWatermarker&&ja(e,E,ve),La(e,E),E},zAe=(e,t,n,r)=>{let i;if(t==="txt2img")e.generation.model&&e.generation.model.base_model==="sdxl"?i=FAe(e):i=BAe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=NAe(e,n):i=OAe(e,n)}else if(t==="inpaint"){if(!n||!r)throw new Error("Missing canvas init and mask images");e.generation.model&&e.generation.model.base_model==="sdxl"?i=DAe(e,n,r):i=MAe(e,n,r)}else{if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=LAe(e,n,r):i=$Ae(e,n,r)}return i},y5=({count:e,start:t,min:n=$se,max:r=Jg})=>{const i=t??Sae(n,r),o=[];for(let a=i;a<i+e;a++)o.push(a%r);return o},hq=(e,t,n)=>{const{iterations:r,model:i,shouldRandomizeSeed:o,seed:a}=e.generation,{shouldConcatSDXLStylePrompt:s,positiveStylePrompt:l}=e.sdxl,{prompts:u,seedBehaviour:c}=e.dynamicPrompts,d=[];if(u.length===1){fI(t.nodes[pt],"seed");const h=y5({count:r,start:o?void 0:a}),p=[];t.nodes[Fe]&&p.push({node_path:Fe,field_name:"seed",items:h}),t.nodes[pt]&&p.push({node_path:pt,field_name:"seed",items:h}),t.nodes[Vt]&&p.push({node_path:Vt,field_name:"seed",items:h.map(m=>(m+1)%Jg)}),d.push(p)}else{const h=[],p=[];if(c==="PER_PROMPT"){const _=y5({count:u.length*r,start:o?void 0:a});t.nodes[Fe]&&h.push({node_path:Fe,field_name:"seed",items:_}),t.nodes[pt]&&h.push({node_path:pt,field_name:"seed",items:_}),t.nodes[Vt]&&h.push({node_path:Vt,field_name:"seed",items:_.map(b=>(b+1)%Jg)})}else{const _=y5({count:r,start:o?void 0:a});t.nodes[Fe]&&p.push({node_path:Fe,field_name:"seed",items:_}),t.nodes[pt]&&p.push({node_path:pt,field_name:"seed",items:_}),t.nodes[Vt]&&p.push({node_path:Vt,field_name:"seed",items:_.map(b=>(b+1)%Jg)}),d.push(p)}const m=c==="PER_PROMPT"?Tae(r).flatMap(()=>u):u;if(t.nodes[Be]&&h.push({node_path:Be,field_name:"prompt",items:m}),t.nodes[pt]&&h.push({node_path:pt,field_name:"positive_prompt",items:m}),s&&(i==null?void 0:i.base_model)==="sdxl"){fI(t.nodes[pt],"positive_style_prompt");const _=m.map(b=>[b,l].join(" "));t.nodes[Be]&&h.push({node_path:Be,field_name:"style",items:_}),t.nodes[pt]&&h.push({node_path:pt,field_name:"positive_style_prompt",items:_})}d.push(h)}return{prepend:n,batch:{graph:t,runs:1,data:d}}},jAe=()=>{Me({predicate:e=>Y4.match(e)&&e.payload.tabName==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n})=>{const r=_e("queue"),{prepend:i}=e.payload,o=t(),{layerState:a,boundingBoxCoordinates:s,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:c}=o.canvas,d=await Q4(a,s,l,u,c);if(!d){r.error("Unable to create canvas data");return}const{baseBlob:f,baseImageData:h,maskBlob:p,maskImageData:m}=d,_=IAe(h,m);if(o.system.enableImageDebugging){const S=await YO(f),w=await YO(p);TAe([{base64:w,caption:"mask b64"},{base64:S,caption:"image b64"}])}r.debug(`Generation mode: ${_}`);let b,y;["img2img","inpaint","outpaint"].includes(_)&&(b=await n(Se.endpoints.uploadImage.initiate({file:new File([f],"canvasInitImage.png",{type:"image/png"}),image_category:"general",is_intermediate:!0})).unwrap()),["inpaint","outpaint"].includes(_)&&(y=await n(Se.endpoints.uploadImage.initiate({file:new File([p],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!0})).unwrap());const g=zAe(o,_,b,y);r.debug({graph:Xt(g)},"Canvas graph built"),n(xG(g));const v=hq(o,g,i);try{const S=n(Er.endpoints.enqueueBatch.initiate(v,{fixedCacheKey:"enqueueBatch"})),w=await S.unwrap();S.reset();const x=w.batch.batch_id;o.canvas.layerState.stagingArea.boundingBox||n(cue({boundingBox:{...o.canvas.boundingBoxCoordinates,...o.canvas.boundingBoxDimensions}})),n(due(x))}catch{}}})},UAe=e=>{const t=_e("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:a,seed:s,steps:l,initialImage:u,img2imgStrength:c,shouldFitToWidthHeight:d,width:f,height:h,clipSkip:p,shouldUseCpuNoise:m,vaePrecision:_,seamlessXAxis:b,seamlessYAxis:y}=e.generation;if(!u)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");const g=_==="fp32",v=!0;let S=Nc;const w=m,x={id:pE,nodes:{[S]:{type:"main_model_loader",id:S,model:i,is_intermediate:v},[Zt]:{type:"clip_skip",id:Zt,skipped_layers:p,is_intermediate:v},[Be]:{type:"compel",id:Be,prompt:n,is_intermediate:v},[We]:{type:"compel",id:We,prompt:r,is_intermediate:v},[Fe]:{type:"noise",id:Fe,use_cpu:w,seed:s,is_intermediate:v},[Ke]:{type:"l2i",id:Ke,fp32:g,is_intermediate:v},[Ee]:{type:"denoise_latents",id:Ee,cfg_scale:o,scheduler:a,steps:l,denoising_start:1-c,denoising_end:1,is_intermediate:v},[qn]:{type:"i2l",id:qn,fp32:g,is_intermediate:v}},edges:[{source:{node_id:S,field:"unet"},destination:{node_id:Ee,field:"unet"}},{source:{node_id:S,field:"clip"},destination:{node_id:Zt,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Ee,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Ee,field:"negative_conditioning"}},{source:{node_id:Fe,field:"noise"},destination:{node_id:Ee,field:"noise"}},{source:{node_id:qn,field:"latents"},destination:{node_id:Ee,field:"latents"}},{source:{node_id:Ee,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(d&&(u.width!==f||u.height!==h)){const C={id:Fs,type:"img_resize",image:{image_name:u.imageName},is_intermediate:!0,width:f,height:h};x.nodes[Fs]=C,x.edges.push({source:{node_id:Fs,field:"image"},destination:{node_id:qn,field:"image"}}),x.edges.push({source:{node_id:Fs,field:"width"},destination:{node_id:Fe,field:"width"}}),x.edges.push({source:{node_id:Fs,field:"height"},destination:{node_id:Fe,field:"height"}})}else x.nodes[qn].image={image_name:u.imageName},x.edges.push({source:{node_id:qn,field:"width"},destination:{node_id:Fe,field:"width"}}),x.edges.push({source:{node_id:qn,field:"height"},destination:{node_id:Fe,field:"height"}});return x.nodes[pt]={id:pt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:o,height:h,width:f,positive_prompt:n,negative_prompt:r,model:i,seed:s,steps:l,rand_device:w?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],ipAdapters:[],t2iAdapters:[],clip_skip:p,strength:c,init_image:u.imageName},x.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:Ke,field:"metadata"}}),(b||y)&&(Fa(e,x,S),S=Kr),za(e,x,S),Mp(e,x,Ee,S),$a(e,x,Ee),Na(e,x,Ee),Ba(e,x,Ee),e.system.shouldUseNSFWChecker&&Da(e,x),e.system.shouldUseWatermarker&&ja(e,x),La(e,x),x},VAe=e=>{const t=_e("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:a,seed:s,steps:l,initialImage:u,shouldFitToWidthHeight:c,width:d,height:f,shouldUseCpuNoise:h,vaePrecision:p,seamlessXAxis:m,seamlessYAxis:_}=e.generation,{positiveStylePrompt:b,negativeStylePrompt:y,shouldUseSDXLRefiner:g,refinerStart:v,sdxlImg2ImgDenoisingStrength:S}=e.sdxl;if(!u)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");const w=p==="fp32",x=!0;let C=Vi;const T=h,{joinedPositiveStylePrompt:E,joinedNegativeStylePrompt:P}=of(e),N={id:Y_,nodes:{[C]:{type:"sdxl_model_loader",id:C,model:i,is_intermediate:x},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:n,style:E,is_intermediate:x},[We]:{type:"sdxl_compel_prompt",id:We,prompt:r,style:P,is_intermediate:x},[Fe]:{type:"noise",id:Fe,use_cpu:T,seed:s,is_intermediate:x},[Ke]:{type:"l2i",id:Ke,fp32:w,is_intermediate:x},[ye]:{type:"denoise_latents",id:ye,cfg_scale:o,scheduler:a,steps:l,denoising_start:g?Math.min(v,1-S):1-S,denoising_end:g?v:1,is_intermediate:x},[qn]:{type:"i2l",id:qn,fp32:w,is_intermediate:x}},edges:[{source:{node_id:C,field:"unet"},destination:{node_id:ye,field:"unet"}},{source:{node_id:C,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:C,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:We,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:ye,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:ye,field:"negative_conditioning"}},{source:{node_id:Fe,field:"noise"},destination:{node_id:ye,field:"noise"}},{source:{node_id:qn,field:"latents"},destination:{node_id:ye,field:"latents"}},{source:{node_id:ye,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(c&&(u.width!==d||u.height!==f)){const O={id:Fs,type:"img_resize",image:{image_name:u.imageName},is_intermediate:!0,width:d,height:f};N.nodes[Fs]=O,N.edges.push({source:{node_id:Fs,field:"image"},destination:{node_id:qn,field:"image"}}),N.edges.push({source:{node_id:Fs,field:"width"},destination:{node_id:Fe,field:"width"}}),N.edges.push({source:{node_id:Fs,field:"height"},destination:{node_id:Fe,field:"height"}})}else N.nodes[qn].image={image_name:u.imageName},N.edges.push({source:{node_id:qn,field:"width"},destination:{node_id:Fe,field:"width"}}),N.edges.push({source:{node_id:qn,field:"height"},destination:{node_id:Fe,field:"height"}});return N.nodes[pt]={id:pt,type:"metadata_accumulator",generation_mode:"sdxl_img2img",cfg_scale:o,height:f,width:d,positive_prompt:n,negative_prompt:r,model:i,seed:s,steps:l,rand_device:T?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],ipAdapters:[],t2iAdapters:[],strength:S,init_image:u.imageName,positive_style_prompt:b,negative_style_prompt:y},N.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:Ke,field:"metadata"}}),(m||_)&&(Fa(e,N,C),C=Kr),g&&(Np(e,N,ye),(m||_)&&(C=ts)),za(e,N,C),$p(e,N,ye,C),$a(e,N,ye),Na(e,N,ye),Ba(e,N,ye),e.system.shouldUseNSFWChecker&&Da(e,N),e.system.shouldUseWatermarker&&ja(e,N),La(e,N),N},GAe=e=>{const t=_e("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:a,seed:s,steps:l,width:u,height:c,shouldUseCpuNoise:d,vaePrecision:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{positiveStylePrompt:m,negativeStylePrompt:_,shouldUseSDXLRefiner:b,refinerStart:y}=e.sdxl,g=d;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const v=f==="fp32",S=!0,{joinedPositiveStylePrompt:w,joinedNegativeStylePrompt:x}=of(e);let C=Vi;const T={id:X4,nodes:{[C]:{type:"sdxl_model_loader",id:C,model:i,is_intermediate:S},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:n,style:w,is_intermediate:S},[We]:{type:"sdxl_compel_prompt",id:We,prompt:r,style:x,is_intermediate:S},[Fe]:{type:"noise",id:Fe,seed:s,width:u,height:c,use_cpu:g,is_intermediate:S},[ye]:{type:"denoise_latents",id:ye,cfg_scale:o,scheduler:a,steps:l,denoising_start:0,denoising_end:b?y:1,is_intermediate:S},[Ke]:{type:"l2i",id:Ke,fp32:v,is_intermediate:S}},edges:[{source:{node_id:C,field:"unet"},destination:{node_id:ye,field:"unet"}},{source:{node_id:C,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:C,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:We,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:ye,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:ye,field:"negative_conditioning"}},{source:{node_id:Fe,field:"noise"},destination:{node_id:ye,field:"noise"}},{source:{node_id:ye,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};return T.nodes[pt]={id:pt,type:"metadata_accumulator",generation_mode:"sdxl_txt2img",cfg_scale:o,height:c,width:u,positive_prompt:n,negative_prompt:r,model:i,seed:s,steps:l,rand_device:g?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],ipAdapters:[],t2iAdapters:[],positive_style_prompt:m,negative_style_prompt:_},T.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:Ke,field:"metadata"}}),(h||p)&&(Fa(e,T,C),C=Kr),b&&(Np(e,T,ye),(h||p)&&(C=ts)),za(e,T,C),$p(e,T,ye,C),$a(e,T,ye),Na(e,T,ye),Ba(e,T,ye),e.system.shouldUseNSFWChecker&&Da(e,T),e.system.shouldUseWatermarker&&ja(e,T),La(e,T),T},qAe=e=>{const t=_e("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:a,steps:s,width:l,height:u,clipSkip:c,shouldUseCpuNoise:d,vaePrecision:f,seamlessXAxis:h,seamlessYAxis:p,seed:m}=e.generation,_=d;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const b=f==="fp32",y=!0,g=i.model_type==="onnx";let v=g?aw:Nc;const 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0)||0)}snapToCursor(t){ks(n=>{const{drag:r}=this.getProps();if(!g1(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:a,max:s}=i.layout.layoutBox[n];o.set(t[n]-ur(a,s,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!Jf(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ks(a=>{const s=this.getAxisMotionValue(a);if(s){const l=s.get();i[a]=wNe({min:l,max:l},this.constraints[a])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ks(a=>{if(!g1(a,t,null))return;const s=this.getAxisMotionValue(a),{min:l,max:u}=this.constraints[a];s.set(ur(l,u,i[a]))})}addListeners(){if(!this.visualElement.current)return;ONe.set(this.visualElement,this);const 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qNe=FW(0,.5,PP),HNe=FW(.5,.95,vr);function FW(e,t,n){return r=>r<e?0:r>t?1:n(U0(e,t,r))}function X7(e,t){e.min=t.min,e.max=t.max}function pa(e,t){X7(e.x,t.x),X7(e.y,t.y)}function Y7(e,t,n,r,i){return e-=t,e=hS(e,1/n,r),i!==void 0&&(e=hS(e,1/i,r)),e}function WNe(e,t=0,n=1,r=.5,i,o=e,a=e){if(el.test(t)&&(t=parseFloat(t),t=ur(a.min,a.max,t/100)-a.min),typeof t!="number")return;let s=ur(o.min,o.max,r);e===o&&(s-=t),e.min=Y7(e.min,t,n,s,i),e.max=Y7(e.max,t,n,s,i)}function Z7(e,t,[n,r,i],o,a){WNe(e,t[n],t[r],t[i],t.scale,o,a)}const KNe=["x","scaleX","originX"],QNe=["y","scaleY","originY"];function J7(e,t,n,r){Z7(e.x,t,KNe,n?n.x:void 0,r?r.x:void 0),Z7(e.y,t,QNe,n?n.y:void 0,r?r.y:void 0)}function e$(e){return e.translate===0&&e.scale===1}function BW(e){return e$(e.x)&&e$(e.y)}function XNe(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function zW(e,t){return Math.round(e.x.min)===Math.round(t.x.min)&&Math.round(e.x.max)===Math.round(t.x.max)&&Math.round(e.y.min)===Math.round(t.y.min)&&Math.round(e.y.max)===Math.round(t.y.max)}function t$(e){return ia(e.x)/ia(e.y)}class YNe{constructor(){this.members=[]}add(t){$P(this.members,t),t.scheduleRender()}remove(t){if(NP(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function n$(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:c}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),c&&(r+=`rotateY(${c}deg) `)}const a=e.x.scale*t.x,s=e.y.scale*t.y;return(a!==1||s!==1)&&(r+=`scale(${a}, ${s})`),r||"none"}const ZNe=(e,t)=>e.depth-t.depth;class JNe{constructor(){this.children=[],this.isDirty=!1}add(t){$P(this.children,t),this.isDirty=!0}remove(t){NP(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(ZNe),this.isDirty=!1,this.children.forEach(t)}}function eDe(e,t){const n=performance.now(),r=({timestamp:i})=>{const o=i-n;o>=t&&(tu(r),e(o-t))};return Nn.read(r,!0),()=>tu(r)}function tDe(e){window.MotionDebug&&window.MotionDebug.record(e)}function nDe(e){return e instanceof SVGElement&&e.tagName!=="svg"}function rDe(e,t,n){const r=Lo(e)?e:gp(e);return r.start(MP("",r,t,n)),r.animation}const r$=["","X","Y","Z"],i$=1e3;let iDe=0;const Yc={type:"projectionFrame",totalNodes:0,resolvedTargetDeltas:0,recalculatedProjection:0};function jW({attachResizeListener:e,defaultParent:t,measureScroll:n,checkIsScrollRoot:r,resetTransform:i}){return class{constructor(a={},s=t==null?void 0:t()){this.id=iDe++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Yc.totalNodes=Yc.resolvedTargetDeltas=Yc.recalculatedProjection=0,this.nodes.forEach(sDe),this.nodes.forEach(fDe),this.nodes.forEach(hDe),this.nodes.forEach(lDe),tDe(Yc)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=a,this.root=s?s.root||s:this,this.path=s?[...s.path,s]:[],this.parent=s,this.depth=s?s.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new JNe)}addEventListener(a,s){return this.eventHandlers.has(a)||this.eventHandlers.set(a,new DP),this.eventHandlers.get(a).add(s)}notifyListeners(a,...s){const l=this.eventHandlers.get(a);l&&l.notify(...s)}hasListeners(a){return this.eventHandlers.has(a)}mount(a,s=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=nDe(a),this.instance=a;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(a),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),s&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const f=()=>this.root.updateBlockedByResize=!1;e(a,()=>{this.root.updateBlockedByResize=!0,d&&d(),d=eDe(f,250),mb.hasAnimatedSinceResize&&(mb.hasAnimatedSinceResize=!1,this.nodes.forEach(a$))})}l&&this.root.registerSharedNode(l,this),this.options.animate!==!1&&c&&(l||u)&&this.addEventListener("didUpdate",({delta:d,hasLayoutChanged:f,hasRelativeTargetChanged:h,layout:p})=>{if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const m=this.options.transition||c.getDefaultTransition()||vDe,{onLayoutAnimationStart:_,onLayoutAnimationComplete:b}=c.getProps(),y=!this.targetLayout||!zW(this.targetLayout,p)||h,g=!f&&h;if(this.options.layoutRoot||this.resumeFrom&&this.resumeFrom.instance||g||f&&(y||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(d,g);const v={...AW(m,"layout"),onPlay:_,onComplete:b};(c.shouldReduceMotion||this.options.layoutRoot)&&(v.delay=0,v.type=!1),this.startAnimation(v)}else f||a$(this),this.isLead()&&this.options.onExitComplete&&this.options.onExitComplete();this.targetLayout=p})}unmount(){this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this);const a=this.getStack();a&&a.remove(this),this.parent&&this.parent.children.delete(this),this.instance=void 0,tu(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){return this.isAnimationBlocked||this.parent&&this.parent.isTreeAnimationBlocked()||!1}startUpdate(){this.isUpdateBlocked()||(this.isUpdating=!0,this.nodes&&this.nodes.forEach(pDe),this.animationId++)}getTransformTemplate(){const{visualElement:a}=this.options;return a&&a.getProps().transformTemplate}willUpdate(a=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:s,layout:l}=this.options;if(s===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),a&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(o$);return}this.isUpdating||this.nodes.forEach(cDe),this.isUpdating=!1,this.nodes.forEach(dDe),this.nodes.forEach(oDe),this.nodes.forEach(aDe),this.clearAllSnapshots();const s=performance.now();ji.delta=bc(0,1e3/60,s-ji.timestamp),ji.timestamp=s,ji.isProcessing=!0,L5.update.process(ji),L5.preRender.process(ji),L5.render.process(ji),ji.isProcessing=!1}didUpdate(){this.updateScheduled||(this.updateScheduled=!0,queueMicrotask(()=>this.update()))}clearAllSnapshots(){this.nodes.forEach(uDe),this.sharedNodes.forEach(gDe)}scheduleUpdateProjection(){Nn.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){Nn.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){this.snapshot||!this.instance||(this.snapshot=this.measure())}updateLayout(){if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let l=0;l<this.path.length;l++)this.path[l].updateScroll();const a=this.layout;this.layout=this.measure(!1),this.layoutCorrected=Dr(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.layoutBox);const{visualElement:s}=this.options;s&&s.notify("LayoutMeasure",this.layout.layoutBox,a?a.layoutBox:void 0)}updateScroll(a="measure"){let s=!!(this.options.layoutScroll&&this.instance);this.scroll&&this.scroll.animationId===this.root.animationId&&this.scroll.phase===a&&(s=!1),s&&(this.scroll={animationId:this.root.animationId,phase:a,isRoot:r(this.instance),offset:n(this.instance)})}resetTransform(){if(!i)return;const a=this.isLayoutDirty||this.shouldResetTransform,s=this.projectionDelta&&!BW(this.projectionDelta),l=this.getTransformTemplate(),u=l?l(this.latestValues,""):void 0,c=u!==this.prevTransformTemplateValue;a&&(s||Xc(this.latestValues)||c)&&(i(this.instance,u),this.shouldResetTransform=!1,this.scheduleRender())}measure(a=!0){const s=this.measurePageBox();let l=this.removeElementScroll(s);return a&&(l=this.removeTransform(l)),bDe(l),{animationId:this.root.animationId,measuredBox:s,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:a}=this.options;if(!a)return Dr();const s=a.measureViewportBox(),{scroll:l}=this.root;return l&&(Tu(s.x,l.offset.x),Tu(s.y,l.offset.y)),s}removeElementScroll(a){const s=Dr();pa(s,a);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){pa(s,a);const{scroll:f}=this.root;f&&(Tu(s.x,-f.offset.x),Tu(s.y,-f.offset.y))}Tu(s.x,c.offset.x),Tu(s.y,c.offset.y)}}return s}applyTransform(a,s=!1){const l=Dr();pa(l,a);for(let u=0;u<this.path.length;u++){const c=this.path[u];!s&&c.options.layoutScroll&&c.scroll&&c!==c.root&&nh(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),Xc(c.latestValues)&&nh(l,c.latestValues)}return Xc(this.latestValues)&&nh(l,this.latestValues),l}removeTransform(a){const s=Dr();pa(s,a);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!Xc(u.latestValues))continue;zE(u.latestValues)&&u.updateSnapshot();const c=Dr(),d=u.measurePageBox();pa(c,d),J7(s,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return Xc(this.latestValues)&&J7(s,this.latestValues),s}setTargetDelta(a){this.targetDelta=a,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(a){this.options={...this.options,...a,crossfade:a.crossfade!==void 0?a.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==ji.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(a=!1){var s;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(a||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=ji.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Dr(),this.relativeTargetOrigin=Dr(),hm(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),pa(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=Dr(),this.targetWithTransforms=Dr()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),bNe(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):pa(this.target,this.layout.layoutBox),$W(this.target,this.targetDelta)):pa(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=Dr(),this.relativeTargetOrigin=Dr(),hm(this.relativeTargetOrigin,this.target,h.target),pa(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Yc.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||zE(this.parent.latestValues)||MW(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var a;const s=this.getLead(),l=!!this.resumingFrom||this!==s;let u=!0;if((this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===ji.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;pa(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;kNe(this.layoutCorrected,this.treeScale,this.path,l),s.layout&&!s.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(s.target=s.layout.layoutBox);const{target:p}=s;if(!p){this.projectionTransform&&(this.projectionDelta=th(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=th(),this.projectionDeltaWithTransform=th());const m=this.projectionTransform;fm(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=n$(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Yc.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(a=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),a){const s=this.getStack();s&&s.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(a,s=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=th();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!s;const f=Dr(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 0,m=h!==p,_=this.getStack(),b=!_||_.members.length<=1,y=!!(m&&!b&&this.options.crossfade===!0&&!this.path.some(yDe));this.animationProgress=0;let g;this.mixTargetDelta=v=>{const S=v/1e3;s$(d.x,a.x,S),s$(d.y,a.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(hm(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),mDe(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&XNe(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=Dr()),pa(g,this.relativeTarget)),m&&(this.animationValues=c,GNe(c,u,this.latestValues,S,y,b)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(a){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(tu(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=Nn.update(()=>{mb.hasAnimatedSinceResize=!0,this.currentAnimation=rDe(0,i$,{...a,onUpdate:s=>{this.mixTargetDelta(s),a.onUpdate&&a.onUpdate(s)},onComplete:()=>{a.onComplete&&a.onComplete(),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0);const a=this.getStack();a&&a.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){this.currentAnimation&&(this.mixTargetDelta&&this.mixTargetDelta(i$),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const a=this.getLead();let{targetWithTransforms:s,target:l,layout:u,latestValues:c}=a;if(!(!s||!l||!u)){if(this!==a&&this.layout&&u&&UW(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||Dr();const d=ia(this.layout.layoutBox.x);l.x.min=a.target.x.min,l.x.max=l.x.min+d;const f=ia(this.layout.layoutBox.y);l.y.min=a.target.y.min,l.y.max=l.y.min+f}pa(s,l),nh(s,c),fm(this.projectionDeltaWithTransform,this.layoutCorrected,s,c)}}registerSharedNode(a,s){this.sharedNodes.has(a)||this.sharedNodes.set(a,new YNe),this.sharedNodes.get(a).add(s);const u=s.options.initialPromotionConfig;s.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(s):void 0})}isLead(){const a=this.getStack();return a?a.lead===this:!0}getLead(){var a;const{layoutId:s}=this.options;return s?((a=this.getStack())===null||a===void 0?void 0:a.lead)||this:this}getPrevLead(){var a;const{layoutId:s}=this.options;return s?(a=this.getStack())===null||a===void 0?void 0:a.prevLead:void 0}getStack(){const{layoutId:a}=this.options;if(a)return this.root.sharedNodes.get(a)}promote({needsReset:a,transition:s,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),a&&(this.projectionDelta=void 0,this.needsReset=!0),s&&this.setOptions({transition:s})}relegate(){const a=this.getStack();return a?a.relegate(this):!1}resetRotation(){const{visualElement:a}=this.options;if(!a)return;let s=!1;const{latestValues:l}=a;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(s=!0),!s)return;const u={};for(let c=0;c<r$.length;c++){const d="rotate"+r$[c];l[d]&&(u[d]=l[d],a.setStaticValue(d,0))}a.render();for(const c in u)a.setStaticValue(c,u[c]);a.scheduleRender()}getProjectionStyles(a={}){var s,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=gb(a.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=gb(a.pointerEvents)||""),this.hasProjected&&!Xc(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=n$(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(s=f.opacity)!==null&&s!==void 0?s:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in aS){if(f[m]===void 0)continue;const{correct:_,applyTo:b}=aS[m],y=u.transform==="none"?f[m]:_(f[m],d);if(b){const g=b.length;for(let v=0;v<g;v++)u[b[v]]=y}else u[m]=y}return this.options.layoutId&&(u.pointerEvents=d===this?gb(a.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(a=>{var s;return(s=a.currentAnimation)===null||s===void 0?void 0:s.stop()}),this.root.nodes.forEach(o$),this.root.sharedNodes.clear()}}}function oDe(e){e.updateLayout()}function aDe(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,a=n.source!==e.layout.source;o==="size"?ks(d=>{const f=a?n.measuredBox[d]:n.layoutBox[d],h=ia(f);f.min=r[d].min,f.max=f.min+h}):UW(o,n.layoutBox,r)&&ks(d=>{const f=a?n.measuredBox[d]:n.layoutBox[d],h=ia(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const s=th();fm(s,r,n.layoutBox);const l=th();a?fm(l,e.applyTransform(i,!0),n.measuredBox):fm(l,r,n.layoutBox);const u=!BW(s);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=Dr();hm(p,n.layoutBox,f.layoutBox);const m=Dr();hm(m,r,h.layoutBox),zW(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:s,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function sDe(e){Yc.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function lDe(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function uDe(e){e.clearSnapshot()}function o$(e){e.clearMeasurements()}function cDe(e){e.isLayoutDirty=!1}function dDe(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function a$(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function fDe(e){e.resolveTargetDelta()}function hDe(e){e.calcProjection()}function pDe(e){e.resetRotation()}function gDe(e){e.removeLeadSnapshot()}function s$(e,t,n){e.translate=ur(t.translate,0,n),e.scale=ur(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function l$(e,t,n,r){e.min=ur(t.min,n.min,r),e.max=ur(t.max,n.max,r)}function mDe(e,t,n,r){l$(e.x,t.x,n.x,r),l$(e.y,t.y,n.y,r)}function yDe(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const vDe={duration:.45,ease:[.4,0,.1,1]},u$=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),c$=u$("applewebkit/")&&!u$("chrome/")?Math.round:vr;function d$(e){e.min=c$(e.min),e.max=c$(e.max)}function bDe(e){d$(e.x),d$(e.y)}function UW(e,t,n){return e==="position"||e==="preserve-aspect"&&!FE(t$(t),t$(n),.2)}const _De=jW({attachResizeListener:(e,t)=>Ll(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),K5={current:void 0},VW=jW({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!K5.current){const e=new _De({});e.mount(window),e.setOptions({layoutScroll:!0}),K5.current=e}return K5.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),SDe={pan:{Feature:DNe},drag:{Feature:NNe,ProjectionNode:VW,MeasureLayout:DW}},xDe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function wDe(e){const t=xDe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function UE(e,t,n=1){const[r,i]=wDe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);if(o){const a=o.trim();return EW(a)?parseFloat(a):a}else return RE(i)?UE(i,t,n+1):i}function CDe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!RE(o))return;const a=UE(o,r);a&&i.set(a)});for(const i in t){const o=t[i];if(!RE(o))continue;const a=UE(o,r);a&&(t[i]=a,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const ADe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),GW=e=>ADe.has(e),EDe=e=>Object.keys(e).some(GW),f$=e=>e===sf||e===st,h$=(e,t)=>parseFloat(e.split(", ")[t]),p$=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return h$(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?h$(o[1],e):0}},TDe=new Set(["x","y","z"]),kDe=Gy.filter(e=>!TDe.has(e));function PDe(e){const t=[];return kDe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const mp={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:p$(4,13),y:p$(5,14)};mp.translateX=mp.x;mp.translateY=mp.y;const IDe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:a}=o,s={};a==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{s[u]=mp[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const c=t.getValue(u);c&&c.jump(s[u]),e[u]=mp[u](l,o)}),e},RDe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(GW);let o=[],a=!1;const s=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let c=n[l],d=mg(c);const f=t[l];let h;if(lS(f)){const p=f.length,m=f[0]===null?1:0;c=f[m],d=mg(c);for(let _=m;_<p&&f[_]!==null;_++)h?kP(mg(f[_])===h):h=mg(f[_])}else h=mg(f);if(d!==h)if(f$(d)&&f$(h)){const p=u.get();typeof p=="string"&&u.set(parseFloat(p)),typeof f=="string"?t[l]=parseFloat(f):Array.isArray(f)&&h===st&&(t[l]=f.map(parseFloat))}else d!=null&&d.transform&&(h!=null&&h.transform)&&(c===0||f===0)?c===0?u.set(h.transform(c)):t[l]=d.transform(f):(a||(o=PDe(e),a=!0),s.push(l),r[l]=r[l]!==void 0?r[l]:t[l],u.jump(f))}),s.length){const l=s.indexOf("height")>=0?window.pageYOffset:null,u=IDe(t,e,s);return o.length&&o.forEach(([c,d])=>{e.getValue(c).set(d)}),e.render(),_w&&l!==null&&window.scrollTo({top:l}),{target:u,transitionEnd:r}}else return{target:t,transitionEnd:r}};function ODe(e,t,n,r){return EDe(t)?RDe(e,t,n,r):{target:t,transitionEnd:r}}const MDe=(e,t,n,r)=>{const i=CDe(e,t,r);return t=i.target,r=i.transitionEnd,ODe(e,t,n,r)},VE={current:null},qW={current:!1};function $De(){if(qW.current=!0,!!_w)if(window.matchMedia){const e=window.matchMedia("(prefers-reduced-motion)"),t=()=>VE.current=e.matches;e.addListener(t),t()}else VE.current=!1}function NDe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],a=n[i];if(Lo(o))e.addValue(i,o),fS(r)&&r.add(i);else if(Lo(a))e.addValue(i,gp(o,{owner:e})),fS(r)&&r.remove(i);else if(a!==o)if(e.hasValue(i)){const s=e.getValue(i);!s.hasAnimated&&s.set(o)}else{const s=e.getStaticValue(i);e.addValue(i,gp(s!==void 0?s:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const g$=new WeakMap,HW=Object.keys(j0),DDe=HW.length,m$=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],LDe=vP.length;class FDe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},a={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>Nn.render(this.render,!1,!0);const{latestValues:s,renderState:l}=o;this.latestValues=s,this.baseTarget={...s},this.initialValues=n.initial?{...s}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=a,this.isControllingVariants=xw(n),this.isVariantNode=IH(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...c}=this.scrapeMotionValuesFromProps(n,{});for(const d in c){const f=c[d];s[d]!==void 0&&Lo(f)&&(f.set(s[d],!1),fS(u)&&u.add(d))}}scrapeMotionValuesFromProps(t,n){return{}}mount(t){this.current=t,g$.set(t,this),this.projection&&!this.projection.instance&&this.projection.mount(t),this.parent&&this.isVariantNode&&!this.isControllingVariants&&(this.removeFromVariantTree=this.parent.addVariantChild(this)),this.values.forEach((n,r)=>this.bindToMotionValue(r,n)),qW.current||$De(),this.shouldReduceMotion=this.reducedMotionConfig==="never"?!1:this.reducedMotionConfig==="always"?!0:VE.current,this.parent&&this.parent.children.add(this),this.update(this.props,this.presenceContext)}unmount(){g$.delete(this.current),this.projection&&this.projection.unmount(),tu(this.notifyUpdate),tu(this.render),this.valueSubscriptions.forEach(t=>t()),this.removeFromVariantTree&&this.removeFromVariantTree(),this.parent&&this.parent.children.delete(this);for(const t in this.events)this.events[t].clear();for(const t in this.features)this.features[t].unmount();this.current=null}bindToMotionValue(t,n){const r=af.has(t),i=n.on("change",a=>{this.latestValues[t]=a,this.props.onUpdate&&Nn.update(this.notifyUpdate,!1,!0),r&&this.projection&&(this.projection.isTransformDirty=!0)}),o=n.on("renderRequest",this.scheduleRender);this.valueSubscriptions.set(t,()=>{i(),o()})}sortNodePosition(t){return!this.current||!this.sortInstanceNodePosition||this.type!==t.type?0:this.sortInstanceNodePosition(this.current,t.current)}loadFeatures({children:t,...n},r,i,o){let a,s;for(let l=0;l<DDe;l++){const u=HW[l],{isEnabled:c,Feature:d,ProjectionNode:f,MeasureLayout:h}=j0[u];f&&(a=f),c(n)&&(!this.features[u]&&d&&(this.features[u]=new d(this)),h&&(s=h))}if(!this.projection&&a){this.projection=new a(this.latestValues,this.parent&&this.parent.projection);const{layoutId:l,layout:u,drag:c,dragConstraints:d,layoutScroll:f,layoutRoot:h}=n;this.projection.setOptions({layoutId:l,layout:u,alwaysMeasureLayout:!!c||d&&Jf(d),visualElement:this,scheduleRender:()=>this.scheduleRender(),animationType:typeof u=="string"?u:"both",initialPromotionConfig:o,layoutScroll:f,layoutRoot:h})}return s}updateFeatures(){for(const t in this.features){const n=this.features[t];n.isMounted?n.update():(n.mount(),n.isMounted=!0)}}triggerBuild(){this.build(this.renderState,this.latestValues,this.options,this.props)}measureViewportBox(){return this.current?this.measureInstanceViewportBox(this.current,this.props):Dr()}getStaticValue(t){return this.latestValues[t]}setStaticValue(t,n){this.latestValues[t]=n}makeTargetAnimatable(t,n=!0){return this.makeTargetAnimatableFromInstance(t,this.props,n)}update(t,n){(t.transformTemplate||this.props.transformTemplate)&&this.scheduleRender(),this.prevProps=this.props,this.props=t,this.prevPresenceContext=this.presenceContext,this.presenceContext=n;for(let r=0;r<m$.length;r++){const i=m$[r];this.propEventSubscriptions[i]&&(this.propEventSubscriptions[i](),delete this.propEventSubscriptions[i]);const o=t["on"+i];o&&(this.propEventSubscriptions[i]=this.on(i,o))}this.prevMotionValues=NDe(this,this.scrapeMotionValuesFromProps(t,this.prevProps),this.prevMotionValues),this.handleChildMotionValue&&this.handleChildMotionValue()}getProps(){return this.props}getVariant(t){return this.props.variants?this.props.variants[t]:void 0}getDefaultTransition(){return this.props.transition}getTransformPagePoint(){return this.props.transformPagePoint}getClosestVariantNode(){return this.isVariantNode?this:this.parent?this.parent.getClosestVariantNode():void 0}getVariantContext(t=!1){if(t)return this.parent?this.parent.getVariantContext():void 0;if(!this.isControllingVariants){const r=this.parent?this.parent.getVariantContext()||{}:{};return this.props.initial!==void 0&&(r.initial=this.props.initial),r}const n={};for(let r=0;r<LDe;r++){const i=vP[r],o=this.props[i];(z0(o)||o===!1)&&(n[i]=o)}return n}addVariantChild(t){const n=this.getClosestVariantNode();if(n)return n.variantChildren&&n.variantChildren.add(t),()=>n.variantChildren.delete(t)}addValue(t,n){n!==this.values.get(t)&&(this.removeValue(t),this.bindToMotionValue(t,n)),this.values.set(t,n),this.latestValues[t]=n.get()}removeValue(t){this.values.delete(t);const n=this.valueSubscriptions.get(t);n&&(n(),this.valueSubscriptions.delete(t)),delete this.latestValues[t],this.removeValueFromRenderState(t,this.renderState)}hasValue(t){return this.values.has(t)}getValue(t,n){if(this.props.values&&this.props.values[t])return this.props.values[t];let r=this.values.get(t);return r===void 0&&n!==void 0&&(r=gp(n,{owner:this}),this.addValue(t,r)),r}readValue(t){var n;return this.latestValues[t]!==void 0||!this.current?this.latestValues[t]:(n=this.getBaseTargetFromProps(this.props,t))!==null&&n!==void 0?n:this.readValueFromInstance(this.current,t,this.options)}setBaseTarget(t,n){this.baseTarget[t]=n}getBaseTarget(t){var n;const{initial:r}=this.props,i=typeof r=="string"||typeof r=="object"?(n=TP(this.props,r))===null||n===void 0?void 0:n[t]:void 0;if(r&&i!==void 0)return i;const o=this.getBaseTargetFromProps(this.props,t);return o!==void 0&&!Lo(o)?o:this.initialValues[t]!==void 0&&i===void 0?void 0:this.baseTarget[t]}on(t,n){return this.events[t]||(this.events[t]=new DP),this.events[t].add(n)}notify(t,...n){this.events[t]&&this.events[t].notify(...n)}}class WW extends FDe{sortInstanceNodePosition(t,n){return t.compareDocumentPosition(n)&2?1:-1}getBaseTargetFromProps(t,n){return t.style?t.style[n]:void 0}removeValueFromRenderState(t,{vars:n,style:r}){delete n[t],delete r[t]}makeTargetAnimatableFromInstance({transition:t,transitionEnd:n,...r},{transformValues:i},o){let a=tNe(r,t||{},this);if(i&&(n&&(n=i(n)),r&&(r=i(r)),a&&(a=i(a))),o){J$e(this,r,a);const s=MDe(this,r,a,n);n=s.transitionEnd,r=s.target}return{transition:t,transitionEnd:n,...r}}}function BDe(e){return window.getComputedStyle(e)}class zDe extends WW{readValueFromInstance(t,n){if(af.has(n)){const r=OP(n);return r&&r.default||0}else{const r=BDe(t),i=($H(n)?r.getPropertyValue(n):r[n])||0;return typeof i=="string"?i.trim():i}}measureInstanceViewportBox(t,{transformPagePoint:n}){return NW(t,n)}build(t,n,r,i){SP(t,n,r,i.transformTemplate)}scrapeMotionValuesFromProps(t,n){return EP(t,n)}handleChildMotionValue(){this.childSubscription&&(this.childSubscription(),delete this.childSubscription);const{children:t}=this.props;Lo(t)&&(this.childSubscription=t.on("change",n=>{this.current&&(this.current.textContent=`${n}`)}))}renderInstance(t,n,r,i){zH(t,n,r,i)}}class jDe extends WW{constructor(){super(...arguments),this.isSVGTag=!1}getBaseTargetFromProps(t,n){return t[n]}readValueFromInstance(t,n){if(af.has(n)){const r=OP(n);return r&&r.default||0}return n=jH.has(n)?n:AP(n),t.getAttribute(n)}measureInstanceViewportBox(){return Dr()}scrapeMotionValuesFromProps(t,n){return VH(t,n)}build(t,n,r,i){wP(t,n,r,this.isSVGTag,i.transformTemplate)}renderInstance(t,n,r,i){UH(t,n,r,i)}mount(t){this.isSVGTag=CP(t.tagName),super.mount(t)}}const UDe=(e,t)=>_P(e)?new jDe(t,{enableHardwareAcceleration:!1}):new zDe(t,{enableHardwareAcceleration:!0}),VDe={layout:{ProjectionNode:VW,MeasureLayout:DW}},GDe={...gNe,...N7e,...SDe,...VDe},KW=GMe((e,t)=>x7e(e,t,GDe,UDe));function QW(){const e=I.useRef(!1);return mP(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function qDe(){const e=QW(),[t,n]=I.useState(0),r=I.useCallback(()=>{e.current&&n(t+1)},[t]);return[I.useCallback(()=>Nn.postRender(r),[r]),t]}class HDe extends I.Component{getSnapshotBeforeUpdate(t){const n=this.props.childRef.current;if(n&&t.isPresent&&!this.props.isPresent){const r=this.props.sizeRef.current;r.height=n.offsetHeight||0,r.width=n.offsetWidth||0,r.top=n.offsetTop,r.left=n.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function WDe({children:e,isPresent:t}){const n=I.useId(),r=I.useRef(null),i=I.useRef({width:0,height:0,top:0,left:0});return I.useInsertionEffect(()=>{const{width:o,height:a,top:s,left:l}=i.current;if(t||!r.current||!o||!a)return;r.current.dataset.motionPopId=n;const u=document.createElement("style");return document.head.appendChild(u),u.sheet&&u.sheet.insertRule(`
+ [data-motion-pop-id="${n}"] {
+ position: absolute !important;
+ width: ${o}px !important;
+ height: ${a}px !important;
+ top: ${s}px !important;
+ left: ${l}px !important;
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hze={websocket:dze,webtransport:fze,polling:uze},pze=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,gze=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function ZE(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=pze.exec(e||""),o={},a=14;for(;a--;)o[gze[a]]=i[a]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=mze(o,o.path),o.queryKey=yze(o,o.query),o}function mze(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function yze(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let OK=class Mf extends Br{constructor(t,n={}){super(),this.binaryType=cze,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=ZE(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=ZE(n.host).host),Tw(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=rze(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=EK,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new hze[t](r)}open(){let t;if(this.opts.rememberUpgrade&&Mf.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;Mf.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;Mf.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const a=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function s(){a("transport closed")}function l(){a("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",a),n.removeListener("close",s),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",a),n.once("close",s),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",Mf.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),this.resetPingTimeout(),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=eze(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){Mf.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};OK.protocol=EK;function vze(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=ZE(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const bze=typeof ArrayBuffer=="function",_ze=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,MK=Object.prototype.toString,Sze=typeof Blob=="function"||typeof Blob<"u"&&MK.call(Blob)==="[object BlobConstructor]",xze=typeof File=="function"||typeof File<"u"&&MK.call(File)==="[object FileConstructor]";function HP(e){return bze&&(e instanceof ArrayBuffer||_ze(e))||Sze&&e instanceof Blob||xze&&e instanceof File}function bb(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(bb(e[n]))return!0;return!1}if(HP(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return bb(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&bb(e[n]))return!0;return!1}function wze(e){const t=[],n=e.data,r=e;return r.data=JE(n,t),r.attachments=t.length,{packet:r,buffers:t}}function JE(e,t){if(!e)return e;if(HP(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=JE(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=JE(e[r],t));return n}return e}function Cze(e,t){return e.data=eT(e.data,t),delete e.attachments,e}function eT(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=eT(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=eT(e[n],t));return e}const Aze=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],Eze=5;var Ft;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Ft||(Ft={}));class Tze{constructor(t){this.replacer=t}encode(t){return(t.type===Ft.EVENT||t.type===Ft.ACK)&&bb(t)?this.encodeAsBinary({type:t.type===Ft.EVENT?Ft.BINARY_EVENT:Ft.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===Ft.BINARY_EVENT||t.type===Ft.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=wze(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function L$(e){return Object.prototype.toString.call(e)==="[object Object]"}class WP extends Br{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===Ft.BINARY_EVENT;r||n.type===Ft.BINARY_ACK?(n.type=r?Ft.EVENT:Ft.ACK,this.reconstructor=new kze(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(HP(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(Ft[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===Ft.BINARY_EVENT||r.type===Ft.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const a=t.substring(o,n);if(a!=Number(a)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(a)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const a=t.charAt(n);if(a==null||Number(a)!=a){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(WP.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case Ft.CONNECT:return L$(n);case Ft.DISCONNECT:return n===void 0;case Ft.CONNECT_ERROR:return typeof n=="string"||L$(n);case Ft.EVENT:case Ft.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&Aze.indexOf(n[0])===-1);case Ft.ACK:case Ft.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class kze{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=Cze(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const Pze=Object.freeze(Object.defineProperty({__proto__:null,Decoder:WP,Encoder:Tze,get PacketType(){return Ft},protocol:Eze},Symbol.toStringTag,{value:"Module"}));function Ya(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const Ize=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class $K extends Br{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Ya(t,"open",this.onopen.bind(this)),Ya(t,"packet",this.onpacket.bind(this)),Ya(t,"error",this.onerror.bind(this)),Ya(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(Ize.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:Ft.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const a=this.ids++,s=n.pop();this._registerAckCallback(a,s),r.id=a}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let a=0;a<this.sendBuffer.length;a++)this.sendBuffer[a].id===t&&this.sendBuffer.splice(a,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...a)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...a])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((a,s)=>r?a?o(a):i(s):i(a)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:Ft.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Ft.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Ft.EVENT:case Ft.BINARY_EVENT:this.onevent(t);break;case Ft.ACK:case Ft.BINARY_ACK:this.onack(t);break;case Ft.DISCONNECT:this.ondisconnect();break;case Ft.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:Ft.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Ft.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Lp(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Lp.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Lp.prototype.reset=function(){this.attempts=0};Lp.prototype.setMin=function(e){this.ms=e};Lp.prototype.setMax=function(e){this.max=e};Lp.prototype.setJitter=function(e){this.jitter=e};class tT extends Br{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,Tw(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new Lp({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||Pze;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new OK(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=Ya(n,"open",function(){r.onopen(),t&&t()}),o=s=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",s),t?t(s):this.maybeReconnectOnOpen()},a=Ya(n,"error",o);if(this._timeout!==!1){const 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a)Object.defineProperty(this,l,{get:()=>{const u=s(r),c=i[o]-u;return this.rect[l]+c},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class pm{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function _je(e){const{EventTarget:t}=go(e);return e instanceof t?e:Bp(e)}function e3(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var va;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(va||(va={}));function U$(e){e.preventDefault()}function Sje(e){e.stopPropagation()}var On;(function(e){e.Space="Space",e.Down="ArrowDown",e.Right="ArrowRight",e.Left="ArrowLeft",e.Up="ArrowUp",e.Esc="Escape",e.Enter="Enter"})(On||(On={}));const HK={start:[On.Space,On.Enter],cancel:[On.Esc],end:[On.Space,On.Enter]},xje=(e,t)=>{let{currentCoordinates:n}=t;switch(e.code){case On.Right:return{...n,x:n.x+25};case On.Left:return{...n,x:n.x-25};case On.Down:return{...n,y:n.y+25};case On.Up:return{...n,y:n.y-25}}};class WK{constructor(t){this.props=void 0,this.autoScrollEnabled=!1,this.referenceCoordinates=void 0,this.listeners=void 0,this.windowListeners=void 0,this.props=t;const{event:{target:n}}=t;this.props=t,this.listeners=new pm(Bp(n)),this.windowListeners=new pm(go(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(va.Resize,this.handleCancel),this.windowListeners.add(va.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(va.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&qK(r),n(gs)}handleKeyDown(t){if(XP(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=HK,coordinateGetter:a=xje,scrollBehavior:s="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,c=u?{x:u.left,y:u.top}:gs;this.referenceCoordinates||(this.referenceCoordinates=c);const d=a(t,{active:n,context:r.current,currentCoordinates:c});if(d){const f=bS(d,c),h={x:0,y:0},{scrollableAncestors:p}=r.current;for(const m of p){const _=t.code,{isTop:b,isRight:y,isLeft:g,isBottom:v,maxScroll:S,minScroll:w}=VK(m),x=mje(m),C={x:Math.min(_===On.Right?x.right-x.width/2:x.right,Math.max(_===On.Right?x.left:x.left+x.width/2,d.x)),y:Math.min(_===On.Down?x.bottom-x.height/2:x.bottom,Math.max(_===On.Down?x.top:x.top+x.height/2,d.y))},T=_===On.Right&&!y||_===On.Left&&!g,E=_===On.Down&&!v||_===On.Up&&!b;if(T&&C.x!==d.x){const P=m.scrollLeft+f.x,N=_===On.Right&&P<=S.x||_===On.Left&&P>=w.x;if(N&&!f.y){m.scrollTo({left:P,behavior:s});return}N?h.x=m.scrollLeft-P:h.x=_===On.Right?m.scrollLeft-S.x:m.scrollLeft-w.x,h.x&&m.scrollBy({left:-h.x,behavior:s});break}else if(E&&C.y!==d.y){const P=m.scrollTop+f.y,N=_===On.Down&&P<=S.y||_===On.Up&&P>=w.y;if(N&&!f.x){m.scrollTo({top:P,behavior:s});return}N?h.y=m.scrollTop-P:h.y=_===On.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:s});break}}this.handleMove(t,Mh(bS(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}WK.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=HK,onActivation:i}=t,{active:o}=n;const{code:a}=e.nativeEvent;if(r.start.includes(a)){const s=o.activatorNode.current;return s&&e.target!==s?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function V$(e){return!!(e&&"distance"in e)}function G$(e){return!!(e&&"delay"in e)}class JP{constructor(t,n,r){var i;r===void 0&&(r=_je(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:a}=o;this.props=t,this.events=n,this.document=Bp(a),this.documentListeners=new pm(this.document),this.listeners=new pm(r),this.windowListeners=new pm(go(a)),this.initialCoordinates=(i=H0(o))!=null?i:gs,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(va.Resize,this.handleCancel),this.windowListeners.add(va.DragStart,U$),this.windowListeners.add(va.VisibilityChange,this.handleCancel),this.windowListeners.add(va.ContextMenu,U$),this.documentListeners.add(va.Keydown,this.handleKeydown),n){if(V$(n))return;if(G$(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(va.Click,Sje,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(va.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:a,options:{activationConstraint:s}}=o;if(!i)return;const l=(n=H0(t))!=null?n:gs,u=bS(i,l);if(!r&&s){if(G$(s))return e3(u,s.tolerance)?this.handleCancel():void 0;if(V$(s))return s.tolerance!=null&&e3(u,s.tolerance)?this.handleCancel():e3(u,s.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),a(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===On.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const wje={move:{name:"pointermove"},end:{name:"pointerup"}};class KK extends JP{constructor(t){const{event:n}=t,r=Bp(n.target);super(t,wje,r)}}KK.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const Cje={move:{name:"mousemove"},end:{name:"mouseup"}};var rT;(function(e){e[e.RightClick=2]="RightClick"})(rT||(rT={}));class QK extends JP{constructor(t){super(t,Cje,Bp(t.event.target))}}QK.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===rT.RightClick?!1:(r==null||r({event:n}),!0)}}];const t3={move:{name:"touchmove"},end:{name:"touchend"}};class XK extends JP{constructor(t){super(t,t3)}static setup(){return window.addEventListener(t3.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(t3.move.name,t)};function t(){}}}XK.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var gm;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(gm||(gm={}));var SS;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(SS||(SS={}));function Aje(e){let{acceleration:t,activator:n=gm.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:a=5,order:s=SS.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=Tje({delta:d,disabled:!o}),[p,m]=Nze(),_=I.useRef({x:0,y:0}),b=I.useRef({x:0,y:0}),y=I.useMemo(()=>{switch(n){case gm.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case gm.DraggableRect:return i}},[n,i,l]),g=I.useRef(null),v=I.useCallback(()=>{const w=g.current;if(!w)return;const x=_.current.x*b.current.x,C=_.current.y*b.current.y;w.scrollBy(x,C)},[]),S=I.useMemo(()=>s===SS.TreeOrder?[...u].reverse():u,[s,u]);I.useEffect(()=>{if(!o||!u.length||!y){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),C=c[x];if(!C)continue;const{direction:T,speed:E}=gje(w,C,y,t,f);for(const P of["x","y"])h[P][T[P]]||(E[P]=0,T[P]=0);if(E.x>0||E.y>0){m(),g.current=w,p(v,a),_.current=E,b.current=T;return}}_.current={x:0,y:0},b.current={x:0,y:0},m()},[t,v,r,m,o,a,JSON.stringify(y),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const Eje={x:{[ui.Backward]:!1,[ui.Forward]:!1},y:{[ui.Backward]:!1,[ui.Forward]:!1}};function Tje(e){let{delta:t,disabled:n}=e;const r=vS(t);return Xy(i=>{if(n||!r||!i)return Eje;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[ui.Backward]:i.x[ui.Backward]||o.x===-1,[ui.Forward]:i.x[ui.Forward]||o.x===1},y:{[ui.Backward]:i.y[ui.Backward]||o.y===-1,[ui.Forward]:i.y[ui.Forward]||o.y===1}}},[n,t,r])}function kje(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return Xy(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function Pje(e,t){return I.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(a=>({eventName:a.eventName,handler:t(a.handler,r)}));return[...n,...o]},[]),[e,t])}var K0;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(K0||(K0={}));var iT;(function(e){e.Optimized="optimized"})(iT||(iT={}));const q$=new Map;function Ije(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,a]=I.useState(null),{frequency:s,measure:l,strategy:u}=i,c=I.useRef(e),d=_(),f=q0(d),h=I.useCallback(function(b){b===void 0&&(b=[]),!f.current&&a(y=>y===null?b:y.concat(b.filter(g=>!y.includes(g))))},[f]),p=I.useRef(null),m=Xy(b=>{if(d&&!n)return q$;if(!b||b===q$||c.current!==e||o!=null){const y=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){y.set(g.id,g.rect.current);continue}const v=g.node.current,S=v?new ZP(l(v),v):null;g.rect.current=S,S&&y.set(g.id,S)}return y}return b},[e,o,n,d,l]);return I.useEffect(()=>{c.current=e},[e]),I.useEffect(()=>{d||h()},[n,d]),I.useEffect(()=>{o&&o.length>0&&a(null)},[JSON.stringify(o)]),I.useEffect(()=>{d||typeof s!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},s))},[s,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function _(){switch(u){case K0.Always:return!1;case K0.BeforeDragging:return n;default:return!n}}}function e6(e,t){return Xy(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function Rje(e,t){return e6(e,t)}function Oje(e){let{callback:t,disabled:n}=e;const r=Pw(t),i=I.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return I.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function Rw(e){let{callback:t,disabled:n}=e;const r=Pw(t),i=I.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return I.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function Mje(e){return new ZP(Yy(e),e)}function H$(e,t,n){t===void 0&&(t=Mje);const[r,i]=I.useReducer(s,null),o=Oje({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),a=Rw({callback:i});return ol(()=>{i(),e?(a==null||a.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(a==null||a.disconnect(),o==null||o.disconnect())},[e]),r;function s(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function $je(e){const t=e6(e);return LK(e,t)}const W$=[];function Nje(e){const t=I.useRef(e),n=Xy(r=>e?r&&r!==W$&&e&&t.current&&e.parentNode===t.current.parentNode?r:YP(e):W$,[e]);return I.useEffect(()=>{t.current=e},[e]),n}function Dje(e){const[t,n]=I.useState(null),r=I.useRef(e),i=I.useCallback(o=>{const a=J5(o.target);a&&n(s=>s?(s.set(a,nT(a)),new Map(s)):null)},[]);return I.useEffect(()=>{const o=r.current;if(e!==o){a(o);const s=e.map(l=>{const u=J5(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,nT(u)]):null}).filter(l=>l!=null);n(s.length?new Map(s):null),r.current=e}return()=>{a(e),a(o)};function a(s){s.forEach(l=>{const u=J5(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),I.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,a)=>Mh(o,a),gs):GK(e):gs,[e,t])}function K$(e,t){t===void 0&&(t=[]);const n=I.useRef(null);return I.useEffect(()=>{n.current=null},t),I.useEffect(()=>{const r=e!==gs;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?bS(e,n.current):gs}function Lje(e){I.useEffect(()=>{if(!kw)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function Fje(e,t){return I.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=a=>{o(a,t)},n},{}),[e,t])}function YK(e){return I.useMemo(()=>e?dje(e):null,[e])}const n3=[];function Bje(e,t){t===void 0&&(t=Yy);const[n]=e,r=YK(n?go(n):null),[i,o]=I.useReducer(s,n3),a=Rw({callback:o});return e.length>0&&i===n3&&o(),ol(()=>{e.length?e.forEach(l=>a==null?void 0:a.observe(l)):(a==null||a.disconnect(),o())},[e]),i;function s(){return e.length?e.map(l=>UK(l)?r:new ZP(t(l),l)):n3}}function ZK(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return Qy(t)?t:e}function zje(e){let{measure:t}=e;const[n,r]=I.useState(null),i=I.useCallback(u=>{for(const{target:c}of u)if(Qy(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=Rw({callback:i}),a=I.useCallback(u=>{const c=ZK(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[s,l]=yS(a);return I.useMemo(()=>({nodeRef:s,rect:n,setRef:l}),[n,s,l])}const jje=[{sensor:KK,options:{}},{sensor:WK,options:{}}],Uje={current:{}},Sb={draggable:{measure:j$},droppable:{measure:j$,strategy:K0.WhileDragging,frequency:iT.Optimized},dragOverlay:{measure:Yy}};class mm extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const Vje={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new mm,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:_S},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Sb,measureDroppableContainers:_S,windowRect:null,measuringScheduled:!1},JK={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:_S,draggableNodes:new Map,over:null,measureDroppableContainers:_S},Zy=I.createContext(JK),eQ=I.createContext(Vje);function Gje(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new mm}}}function qje(e,t){switch(t.type){case Wr.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case Wr.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case Wr.DragEnd:case Wr.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case Wr.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new mm(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case Wr.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const a=new mm(e.droppable.containers);return a.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:a}}}case Wr.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new mm(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function Hje(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=I.useContext(Zy),o=vS(r),a=vS(n==null?void 0:n.id);return I.useEffect(()=>{if(!t&&!r&&o&&a!=null){if(!XP(o)||document.activeElement===o.target)return;const s=i.get(a);if(!s)return;const{activatorNode:l,node:u}=s;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=Fze(c);if(d){d.focus();break}}})}},[r,t,i,a,o]),null}function tQ(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function Wje(e){return I.useMemo(()=>({draggable:{...Sb.draggable,...e==null?void 0:e.draggable},droppable:{...Sb.droppable,...e==null?void 0:e.droppable},dragOverlay:{...Sb.dragOverlay,...e==null?void 0:e.dragOverlay}}),[e==null?void 0:e.draggable,e==null?void 0:e.droppable,e==null?void 0:e.dragOverlay])}function Kje(e){let{activeNode:t,measure:n,initialRect:r,config:i=!0}=e;const o=I.useRef(!1),{x:a,y:s}=typeof i=="boolean"?{x:i,y:i}:i;ol(()=>{if(!a&&!s||!t){o.current=!1;return}if(o.current||!r)return;const u=t==null?void 0:t.node.current;if(!u||u.isConnected===!1)return;const c=n(u),d=LK(c,r);if(a||(d.x=0),s||(d.y=0),o.current=!0,Math.abs(d.x)>0||Math.abs(d.y)>0){const f=BK(u);f&&f.scrollBy({top:d.y,left:d.x})}},[t,a,s,r,n])}const Ow=I.createContext({...gs,scaleX:1,scaleY:1});var ku;(function(e){e[e.Uninitialized=0]="Uninitialized",e[e.Initializing=1]="Initializing",e[e.Initialized=2]="Initialized"})(ku||(ku={}));const Qje=I.memo(function(t){var n,r,i,o;let{id:a,accessibility:s,autoScroll:l=!0,children:u,sensors:c=jje,collisionDetection:d=rje,measuring:f,modifiers:h,...p}=t;const m=I.useReducer(qje,void 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diff --git a/invokeai/frontend/web/dist/assets/index-a24a7159.js b/invokeai/frontend/web/dist/assets/index-a24a7159.js
deleted file mode 100644
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o=n.lanes|n.childLanes;if(zQ(e,o),e===fi&&(Lr=fi=null,Pi=0),!(n.subtreeFlags&2064)&&!(n.flags&2064)||ov||(ov=!0,YD(gb,function(){return rh(),null})),o=(n.flags&15990)!==0,n.subtreeFlags&15990||o){o=Sa.transition,Sa.transition=null;var a=yn;yn=1;var s=Ht;Ht|=4,R4.current=null,eY(e,n),UD(n,e),TX(p3),yb=!!h3,p3=h3=null,e.current=n,tY(n),RQ(),Ht=s,yn=a,Sa.transition=o}else e.current=n;if(ov&&(ov=!1,Mu=e,Mb=i),o=e.pendingLanes,o===0&&(Vu=null),NQ(n.stateNode),Ao(e,Er()),t!==null)for(r=e.onRecoverableError,n=0;n<t.length;n++)i=t[n],r(i.value,{componentStack:i.stack,digest:i.digest});if(Ob)throw Ob=!1,e=N3,N3=null,e;return Mb&1&&e.tag!==0&&rh(),o=e.pendingLanes,o&1?e===$3?jg++:(jg=0,$3=e):jg=0,bc(),null}function rh(){if(Mu!==null){var e=k$(Mb),t=Sa.transition,n=yn;try{if(Sa.transition=null,yn=16>e?16:e,Mu===null)var r=!1;else{if(e=Mu,Mu=null,Mb=0,Ht&6)throw Error(le(331));var i=Ht;for(Ht|=4,De=e.current;De!==null;){var o=De,a=o.child;if(De.flags&16){var s=o.deletions;if(s!==null){for(var 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input";break;case he.custom:n="Invalid input";break;case he.invalid_intersection_types:n="Intersection results could not be merged";break;case he.not_multiple_of:n=`Number must be a multiple of ${e.multipleOf}`;break;case he.not_finite:n="Number must be finite";break;default:n=t.defaultError,Yt.assertNever(e)}return{message:n}};let pB=Dm;function Bae(e){pB=e}function Wb(){return pB}const Kb=e=>{const{data:t,path:n,errorMaps:r,issueData:i}=e,o=[...n,...i.path||[]],a={...i,path:o};let s="";const l=r.filter(u=>!!u).slice().reverse();for(const u of l)s=u(a,{data:t,defaultError:s}).message;return{...i,path:o,message:i.message||s}},zae=[];function Me(e,t){const n=Kb({issueData:t,data:e.data,path:e.path,errorMaps:[e.common.contextualErrorMap,e.schemaErrorMap,Wb(),Dm].filter(r=>!!r)});e.common.issues.push(n)}class Ki{constructor(){this.value="valid"}dirty(){this.value==="valid"&&(this.value="dirty")}abort(){this.value!=="aborted"&&(this.value="aborted")}static mergeArray(t,n){const r=[];for(const i of n){if(i.status==="aborted")return vt;i.status==="dirty"&&t.dirty(),r.push(i.value)}return{status:t.value,value:r}}static async mergeObjectAsync(t,n){const r=[];for(const i of n)r.push({key:await i.key,value:await i.value});return Ki.mergeObjectSync(t,r)}static mergeObjectSync(t,n){const r={};for(const i of n){const{key:o,value:a}=i;if(o.status==="aborted"||a.status==="aborted")return vt;o.status==="dirty"&&t.dirty(),a.status==="dirty"&&t.dirty(),o.value!=="__proto__"&&(typeof a.value<"u"||i.alwaysSet)&&(r[o.value]=a.value)}return{status:t.value,value:r}}}const vt=Object.freeze({status:"aborted"}),gB=e=>({status:"dirty",value:e}),so=e=>({status:"valid",value:e}),rE=e=>e.status==="aborted",iE=e=>e.status==="dirty",Lm=e=>e.status==="valid",Qb=e=>typeof Promise<"u"&&e instanceof Promise;var rt;(function(e){e.errToObj=t=>typeof t=="string"?{message:t}:t||{},e.toString=t=>typeof t=="string"?t:t==null?void 0:t.message})(rt||(rt={}));class Xs{constructor(t,n,r,i){this._cachedPath=[],this.parent=t,this.data=n,this._path=r,this._key=i}get path(){return this._cachedPath.length||(this._key instanceof Array?this._cachedPath.push(...this._path,...this._key):this._cachedPath.push(...this._path,this._key)),this._cachedPath}}const J8=(e,t)=>{if(Lm(t))return{success:!0,data:t.value};if(!e.common.issues.length)throw new Error("Validation failed but no issues detected.");return{success:!1,get error(){if(this._error)return this._error;const n=new rs(e.common.issues);return this._error=n,this._error}}};function xt(e){if(!e)return{};const{errorMap:t,invalid_type_error:n,required_error:r,description:i}=e;if(t&&(n||r))throw new Error(`Can't use "invalid_type_error" or "required_error" in conjunction with custom error map.`);return t?{errorMap:t,description:i}:{errorMap:(a,s)=>a.code!=="invalid_type"?{message:s.defaultError}:typeof s.data>"u"?{message:r??s.defaultError}:{message:n??s.defaultError},description:i}}class Et{constructor(t){this.spa=this.safeParseAsync,this._def=t,this.parse=this.parse.bind(this),this.safeParse=this.safeParse.bind(this),this.parseAsync=this.parseAsync.bind(this),this.safeParseAsync=this.safeParseAsync.bind(this),this.spa=this.spa.bind(this),this.refine=this.refine.bind(this),this.refinement=this.refinement.bind(this),this.superRefine=this.superRefine.bind(this),this.optional=this.optional.bind(this),this.nullable=this.nullable.bind(this),this.nullish=this.nullish.bind(this),this.array=this.array.bind(this),this.promise=this.promise.bind(this),this.or=this.or.bind(this),this.and=this.and.bind(this),this.transform=this.transform.bind(this),this.brand=this.brand.bind(this),this.default=this.default.bind(this),this.catch=this.catch.bind(this),this.describe=this.describe.bind(this),this.pipe=this.pipe.bind(this),this.readonly=this.readonly.bind(this),this.isNullable=this.isNullable.bind(this),this.isOptional=this.isOptional.bind(this)}get description(){return this._def.description}_getType(t){return Tu(t.data)}_getOrReturnCtx(t,n){return n||{common:t.parent.common,data:t.data,parsedType:Tu(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}_processInputParams(t){return{status:new Ki,ctx:{common:t.parent.common,data:t.data,parsedType:Tu(t.data),schemaErrorMap:this._def.errorMap,path:t.path,parent:t.parent}}}_parseSync(t){const n=this._parse(t);if(Qb(n))throw new Error("Synchronous parse encountered promise.");return n}_parseAsync(t){const n=this._parse(t);return Promise.resolve(n)}parse(t,n){const r=this.safeParse(t,n);if(r.success)return r.data;throw r.error}safeParse(t,n){var r;const i={common:{issues:[],async:(r=n==null?void 0:n.async)!==null&&r!==void 0?r:!1,contextualErrorMap:n==null?void 0:n.errorMap},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Tu(t)},o=this._parseSync({data:t,path:i.path,parent:i});return J8(i,o)}async parseAsync(t,n){const r=await this.safeParseAsync(t,n);if(r.success)return r.data;throw r.error}async safeParseAsync(t,n){const r={common:{issues:[],contextualErrorMap:n==null?void 0:n.errorMap,async:!0},path:(n==null?void 0:n.path)||[],schemaErrorMap:this._def.errorMap,parent:null,data:t,parsedType:Tu(t)},i=this._parse({data:t,path:r.path,parent:r}),o=await(Qb(i)?i:Promise.resolve(i));return J8(r,o)}refine(t,n){const r=i=>typeof n=="string"||typeof n>"u"?{message:n}:typeof n=="function"?n(i):n;return this._refinement((i,o)=>{const a=t(i),s=()=>o.addIssue({code:he.custom,...r(i)});return typeof Promise<"u"&&a instanceof Promise?a.then(l=>l?!0:(s(),!1)):a?!0:(s(),!1)})}refinement(t,n){return this._refinement((r,i)=>t(r)?!0:(i.addIssue(typeof n=="function"?n(r,i):n),!1))}_refinement(t){return new ls({schema:this,typeName:lt.ZodEffects,effect:{type:"refinement",refinement:t}})}superRefine(t){return this._refinement(t)}optional(){return $l.create(this,this._def)}nullable(){return Id.create(this,this._def)}nullish(){return this.nullable().optional()}array(){return is.create(this,this._def)}promise(){return Hh.create(this,this._def)}or(t){return jm.create([this,t],this._def)}and(t){return Um.create(this,t,this._def)}transform(t){return new ls({...xt(this._def),schema:this,typeName:lt.ZodEffects,effect:{type:"transform",transform:t}})}default(t){const n=typeof t=="function"?t:()=>t;return new Wm({...xt(this._def),innerType:this,defaultValue:n,typeName:lt.ZodDefault})}brand(){return new yB({typeName:lt.ZodBranded,type:this,...xt(this._def)})}catch(t){const n=typeof t=="function"?t:()=>t;return new Jb({...xt(this._def),innerType:this,catchValue:n,typeName:lt.ZodCatch})}describe(t){const n=this.constructor;return new n({...this._def,description:t})}pipe(t){return uy.create(this,t)}readonly(){return t_.create(this)}isOptional(){return this.safeParse(void 0).success}isNullable(){return this.safeParse(null).success}}const jae=/^c[^\s-]{8,}$/i,Uae=/^[a-z][a-z0-9]*$/,Vae=/[0-9A-HJKMNP-TV-Z]{26}/,Gae=/^[0-9a-fA-F]{8}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{4}\b-[0-9a-fA-F]{12}$/i,qae=/^([A-Z0-9_+-]+\.?)*[A-Z0-9_+-]@([A-Z0-9][A-Z0-9\-]*\.)+[A-Z]{2,}$/i,Hae=/^(\p{Extended_Pictographic}|\p{Emoji_Component})+$/u,Wae=/^(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))$/,Kae=/^(([a-f0-9]{1,4}:){7}|::([a-f0-9]{1,4}:){0,6}|([a-f0-9]{1,4}:){1}:([a-f0-9]{1,4}:){0,5}|([a-f0-9]{1,4}:){2}:([a-f0-9]{1,4}:){0,4}|([a-f0-9]{1,4}:){3}:([a-f0-9]{1,4}:){0,3}|([a-f0-9]{1,4}:){4}:([a-f0-9]{1,4}:){0,2}|([a-f0-9]{1,4}:){5}:([a-f0-9]{1,4}:){0,1})([a-f0-9]{1,4}|(((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2}))\.){3}((25[0-5])|(2[0-4][0-9])|(1[0-9]{2})|([0-9]{1,2})))$/,Qae=e=>e.precision?e.offset?new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}(([+-]\\d{2}(:?\\d{2})?)|Z)$`):new RegExp(`^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}\\.\\d{${e.precision}}Z$`):e.precision===0?e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}Z$"):e.offset?new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?(([+-]\\d{2}(:?\\d{2})?)|Z)$"):new RegExp("^\\d{4}-\\d{2}-\\d{2}T\\d{2}:\\d{2}:\\d{2}(\\.\\d+)?Z$");function Xae(e,t){return!!((t==="v4"||!t)&&Wae.test(e)||(t==="v6"||!t)&&Kae.test(e))}class Za extends Et{constructor(){super(...arguments),this._regex=(t,n,r)=>this.refinement(i=>t.test(i),{validation:n,code:he.invalid_string,...rt.errToObj(r)}),this.nonempty=t=>this.min(1,rt.errToObj(t)),this.trim=()=>new Za({...this._def,checks:[...this._def.checks,{kind:"trim"}]}),this.toLowerCase=()=>new Za({...this._def,checks:[...this._def.checks,{kind:"toLowerCase"}]}),this.toUpperCase=()=>new Za({...this._def,checks:[...this._def.checks,{kind:"toUpperCase"}]})}_parse(t){if(this._def.coerce&&(t.data=String(t.data)),this._getType(t)!==Re.string){const o=this._getOrReturnCtx(t);return Me(o,{code:he.invalid_type,expected:Re.string,received:o.parsedType}),vt}const r=new Ki;let i;for(const o of this._def.checks)if(o.kind==="min")t.data.length<o.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:he.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="max")t.data.length>o.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:he.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!1,message:o.message}),r.dirty());else if(o.kind==="length"){const a=t.data.length>o.value,s=t.data.length<o.value;(a||s)&&(i=this._getOrReturnCtx(t,i),a?Me(i,{code:he.too_big,maximum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}):s&&Me(i,{code:he.too_small,minimum:o.value,type:"string",inclusive:!0,exact:!0,message:o.message}),r.dirty())}else if(o.kind==="email")qae.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"email",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="emoji")Hae.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"emoji",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="uuid")Gae.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"uuid",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid")jae.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"cuid",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="cuid2")Uae.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"cuid2",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="ulid")Vae.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"ulid",code:he.invalid_string,message:o.message}),r.dirty());else if(o.kind==="url")try{new URL(t.data)}catch{i=this._getOrReturnCtx(t,i),Me(i,{validation:"url",code:he.invalid_string,message:o.message}),r.dirty()}else o.kind==="regex"?(o.regex.lastIndex=0,o.regex.test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"regex",code:he.invalid_string,message:o.message}),r.dirty())):o.kind==="trim"?t.data=t.data.trim():o.kind==="includes"?t.data.includes(o.value,o.position)||(i=this._getOrReturnCtx(t,i),Me(i,{code:he.invalid_string,validation:{includes:o.value,position:o.position},message:o.message}),r.dirty()):o.kind==="toLowerCase"?t.data=t.data.toLowerCase():o.kind==="toUpperCase"?t.data=t.data.toUpperCase():o.kind==="startsWith"?t.data.startsWith(o.value)||(i=this._getOrReturnCtx(t,i),Me(i,{code:he.invalid_string,validation:{startsWith:o.value},message:o.message}),r.dirty()):o.kind==="endsWith"?t.data.endsWith(o.value)||(i=this._getOrReturnCtx(t,i),Me(i,{code:he.invalid_string,validation:{endsWith:o.value},message:o.message}),r.dirty()):o.kind==="datetime"?Qae(o).test(t.data)||(i=this._getOrReturnCtx(t,i),Me(i,{code:he.invalid_string,validation:"datetime",message:o.message}),r.dirty()):o.kind==="ip"?Xae(t.data,o.version)||(i=this._getOrReturnCtx(t,i),Me(i,{validation:"ip",code:he.invalid_string,message:o.message}),r.dirty()):Yt.assertNever(o);return{status:r.value,value:t.data}}_addCheck(t){return new Za({...this._def,checks:[...this._def.checks,t]})}email(t){return this._addCheck({kind:"email",...rt.errToObj(t)})}url(t){return this._addCheck({kind:"url",...rt.errToObj(t)})}emoji(t){return this._addCheck({kind:"emoji",...rt.errToObj(t)})}uuid(t){return this._addCheck({kind:"uuid",...rt.errToObj(t)})}cuid(t){return this._addCheck({kind:"cuid",...rt.errToObj(t)})}cuid2(t){return this._addCheck({kind:"cuid2",...rt.errToObj(t)})}ulid(t){return this._addCheck({kind:"ulid",...rt.errToObj(t)})}ip(t){return this._addCheck({kind:"ip",...rt.errToObj(t)})}datetime(t){var n;return typeof t=="string"?this._addCheck({kind:"datetime",precision:null,offset:!1,message:t}):this._addCheck({kind:"datetime",precision:typeof(t==null?void 0:t.precision)>"u"?null:t==null?void 0:t.precision,offset:(n=t==null?void 0:t.offset)!==null&&n!==void 0?n:!1,...rt.errToObj(t==null?void 0:t.message)})}regex(t,n){return this._addCheck({kind:"regex",regex:t,...rt.errToObj(n)})}includes(t,n){return this._addCheck({kind:"includes",value:t,position:n==null?void 0:n.position,...rt.errToObj(n==null?void 0:n.message)})}startsWith(t,n){return this._addCheck({kind:"startsWith",value:t,...rt.errToObj(n)})}endsWith(t,n){return this._addCheck({kind:"endsWith",value:t,...rt.errToObj(n)})}min(t,n){return this._addCheck({kind:"min",value:t,...rt.errToObj(n)})}max(t,n){return this._addCheck({kind:"max",value:t,...rt.errToObj(n)})}length(t,n){return this._addCheck({kind:"length",value:t,...rt.errToObj(n)})}get isDatetime(){return!!this._def.checks.find(t=>t.kind==="datetime")}get isEmail(){return!!this._def.checks.find(t=>t.kind==="email")}get isURL(){return!!this._def.checks.find(t=>t.kind==="url")}get isEmoji(){return!!this._def.checks.find(t=>t.kind==="emoji")}get isUUID(){return!!this._def.checks.find(t=>t.kind==="uuid")}get isCUID(){return!!this._def.checks.find(t=>t.kind==="cuid")}get isCUID2(){return!!this._def.checks.find(t=>t.kind==="cuid2")}get isULID(){return!!this._def.checks.find(t=>t.kind==="ulid")}get isIP(){return!!this._def.checks.find(t=>t.kind==="ip")}get minLength(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxLength(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}Za.create=e=>{var t;return new Za({checks:[],typeName:lt.ZodString,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...xt(e)})};function Yae(e,t){const n=(e.toString().split(".")[1]||"").length,r=(t.toString().split(".")[1]||"").length,i=n>r?n:r,o=parseInt(e.toFixed(i).replace(".","")),a=parseInt(t.toFixed(i).replace(".",""));return o%a/Math.pow(10,i)}class oc extends Et{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte,this.step=this.multipleOf}_parse(t){if(this._def.coerce&&(t.data=Number(t.data)),this._getType(t)!==Re.number){const o=this._getOrReturnCtx(t);return Me(o,{code:he.invalid_type,expected:Re.number,received:o.parsedType}),vt}let r;const i=new Ki;for(const o of this._def.checks)o.kind==="int"?Yt.isInteger(t.data)||(r=this._getOrReturnCtx(t,r),Me(r,{code:he.invalid_type,expected:"integer",received:"float",message:o.message}),i.dirty()):o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:he.too_small,minimum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:he.too_big,maximum:o.value,type:"number",inclusive:o.inclusive,exact:!1,message:o.message}),i.dirty()):o.kind==="multipleOf"?Yae(t.data,o.value)!==0&&(r=this._getOrReturnCtx(t,r),Me(r,{code:he.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):o.kind==="finite"?Number.isFinite(t.data)||(r=this._getOrReturnCtx(t,r),Me(r,{code:he.not_finite,message:o.message}),i.dirty()):Yt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,rt.toString(n))}gt(t,n){return this.setLimit("min",t,!1,rt.toString(n))}lte(t,n){return this.setLimit("max",t,!0,rt.toString(n))}lt(t,n){return this.setLimit("max",t,!1,rt.toString(n))}setLimit(t,n,r,i){return new oc({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:rt.toString(i)}]})}_addCheck(t){return new oc({...this._def,checks:[...this._def.checks,t]})}int(t){return this._addCheck({kind:"int",message:rt.toString(t)})}positive(t){return this._addCheck({kind:"min",value:0,inclusive:!1,message:rt.toString(t)})}negative(t){return this._addCheck({kind:"max",value:0,inclusive:!1,message:rt.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:0,inclusive:!0,message:rt.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:0,inclusive:!0,message:rt.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:rt.toString(n)})}finite(t){return this._addCheck({kind:"finite",message:rt.toString(t)})}safe(t){return this._addCheck({kind:"min",inclusive:!0,value:Number.MIN_SAFE_INTEGER,message:rt.toString(t)})._addCheck({kind:"max",inclusive:!0,value:Number.MAX_SAFE_INTEGER,message:rt.toString(t)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}get isInt(){return!!this._def.checks.find(t=>t.kind==="int"||t.kind==="multipleOf"&&Yt.isInteger(t.value))}get isFinite(){let t=null,n=null;for(const r of this._def.checks){if(r.kind==="finite"||r.kind==="int"||r.kind==="multipleOf")return!0;r.kind==="min"?(n===null||r.value>n)&&(n=r.value):r.kind==="max"&&(t===null||r.value<t)&&(t=r.value)}return Number.isFinite(n)&&Number.isFinite(t)}}oc.create=e=>new oc({checks:[],typeName:lt.ZodNumber,coerce:(e==null?void 0:e.coerce)||!1,...xt(e)});class ac extends Et{constructor(){super(...arguments),this.min=this.gte,this.max=this.lte}_parse(t){if(this._def.coerce&&(t.data=BigInt(t.data)),this._getType(t)!==Re.bigint){const o=this._getOrReturnCtx(t);return Me(o,{code:he.invalid_type,expected:Re.bigint,received:o.parsedType}),vt}let r;const i=new Ki;for(const o of this._def.checks)o.kind==="min"?(o.inclusive?t.data<o.value:t.data<=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:he.too_small,type:"bigint",minimum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="max"?(o.inclusive?t.data>o.value:t.data>=o.value)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:he.too_big,type:"bigint",maximum:o.value,inclusive:o.inclusive,message:o.message}),i.dirty()):o.kind==="multipleOf"?t.data%o.value!==BigInt(0)&&(r=this._getOrReturnCtx(t,r),Me(r,{code:he.not_multiple_of,multipleOf:o.value,message:o.message}),i.dirty()):Yt.assertNever(o);return{status:i.value,value:t.data}}gte(t,n){return this.setLimit("min",t,!0,rt.toString(n))}gt(t,n){return this.setLimit("min",t,!1,rt.toString(n))}lte(t,n){return this.setLimit("max",t,!0,rt.toString(n))}lt(t,n){return this.setLimit("max",t,!1,rt.toString(n))}setLimit(t,n,r,i){return new ac({...this._def,checks:[...this._def.checks,{kind:t,value:n,inclusive:r,message:rt.toString(i)}]})}_addCheck(t){return new ac({...this._def,checks:[...this._def.checks,t]})}positive(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!1,message:rt.toString(t)})}negative(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!1,message:rt.toString(t)})}nonpositive(t){return this._addCheck({kind:"max",value:BigInt(0),inclusive:!0,message:rt.toString(t)})}nonnegative(t){return this._addCheck({kind:"min",value:BigInt(0),inclusive:!0,message:rt.toString(t)})}multipleOf(t,n){return this._addCheck({kind:"multipleOf",value:t,message:rt.toString(n)})}get minValue(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t}get maxValue(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t}}ac.create=e=>{var t;return new ac({checks:[],typeName:lt.ZodBigInt,coerce:(t=e==null?void 0:e.coerce)!==null&&t!==void 0?t:!1,...xt(e)})};class Fm extends Et{_parse(t){if(this._def.coerce&&(t.data=!!t.data),this._getType(t)!==Re.boolean){const r=this._getOrReturnCtx(t);return Me(r,{code:he.invalid_type,expected:Re.boolean,received:r.parsedType}),vt}return so(t.data)}}Fm.create=e=>new Fm({typeName:lt.ZodBoolean,coerce:(e==null?void 0:e.coerce)||!1,...xt(e)});class Ad extends Et{_parse(t){if(this._def.coerce&&(t.data=new Date(t.data)),this._getType(t)!==Re.date){const o=this._getOrReturnCtx(t);return Me(o,{code:he.invalid_type,expected:Re.date,received:o.parsedType}),vt}if(isNaN(t.data.getTime())){const o=this._getOrReturnCtx(t);return Me(o,{code:he.invalid_date}),vt}const r=new Ki;let i;for(const o of this._def.checks)o.kind==="min"?t.data.getTime()<o.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:he.too_small,message:o.message,inclusive:!0,exact:!1,minimum:o.value,type:"date"}),r.dirty()):o.kind==="max"?t.data.getTime()>o.value&&(i=this._getOrReturnCtx(t,i),Me(i,{code:he.too_big,message:o.message,inclusive:!0,exact:!1,maximum:o.value,type:"date"}),r.dirty()):Yt.assertNever(o);return{status:r.value,value:new Date(t.data.getTime())}}_addCheck(t){return new Ad({...this._def,checks:[...this._def.checks,t]})}min(t,n){return this._addCheck({kind:"min",value:t.getTime(),message:rt.toString(n)})}max(t,n){return this._addCheck({kind:"max",value:t.getTime(),message:rt.toString(n)})}get minDate(){let t=null;for(const n of this._def.checks)n.kind==="min"&&(t===null||n.value>t)&&(t=n.value);return t!=null?new Date(t):null}get maxDate(){let t=null;for(const n of this._def.checks)n.kind==="max"&&(t===null||n.value<t)&&(t=n.value);return t!=null?new Date(t):null}}Ad.create=e=>new Ad({checks:[],coerce:(e==null?void 0:e.coerce)||!1,typeName:lt.ZodDate,...xt(e)});class Xb extends Et{_parse(t){if(this._getType(t)!==Re.symbol){const r=this._getOrReturnCtx(t);return Me(r,{code:he.invalid_type,expected:Re.symbol,received:r.parsedType}),vt}return so(t.data)}}Xb.create=e=>new Xb({typeName:lt.ZodSymbol,...xt(e)});class Bm extends Et{_parse(t){if(this._getType(t)!==Re.undefined){const r=this._getOrReturnCtx(t);return Me(r,{code:he.invalid_type,expected:Re.undefined,received:r.parsedType}),vt}return so(t.data)}}Bm.create=e=>new Bm({typeName:lt.ZodUndefined,...xt(e)});class zm extends Et{_parse(t){if(this._getType(t)!==Re.null){const r=this._getOrReturnCtx(t);return Me(r,{code:he.invalid_type,expected:Re.null,received:r.parsedType}),vt}return so(t.data)}}zm.create=e=>new zm({typeName:lt.ZodNull,...xt(e)});class qh extends Et{constructor(){super(...arguments),this._any=!0}_parse(t){return so(t.data)}}qh.create=e=>new qh({typeName:lt.ZodAny,...xt(e)});class pd extends Et{constructor(){super(...arguments),this._unknown=!0}_parse(t){return so(t.data)}}pd.create=e=>new pd({typeName:lt.ZodUnknown,...xt(e)});class Hl extends Et{_parse(t){const n=this._getOrReturnCtx(t);return Me(n,{code:he.invalid_type,expected:Re.never,received:n.parsedType}),vt}}Hl.create=e=>new Hl({typeName:lt.ZodNever,...xt(e)});class Yb extends Et{_parse(t){if(this._getType(t)!==Re.undefined){const r=this._getOrReturnCtx(t);return Me(r,{code:he.invalid_type,expected:Re.void,received:r.parsedType}),vt}return so(t.data)}}Yb.create=e=>new Yb({typeName:lt.ZodVoid,...xt(e)});class is extends Et{_parse(t){const{ctx:n,status:r}=this._processInputParams(t),i=this._def;if(n.parsedType!==Re.array)return Me(n,{code:he.invalid_type,expected:Re.array,received:n.parsedType}),vt;if(i.exactLength!==null){const a=n.data.length>i.exactLength.value,s=n.data.length<i.exactLength.value;(a||s)&&(Me(n,{code:a?he.too_big:he.too_small,minimum:s?i.exactLength.value:void 0,maximum:a?i.exactLength.value:void 0,type:"array",inclusive:!0,exact:!0,message:i.exactLength.message}),r.dirty())}if(i.minLength!==null&&n.data.length<i.minLength.value&&(Me(n,{code:he.too_small,minimum:i.minLength.value,type:"array",inclusive:!0,exact:!1,message:i.minLength.message}),r.dirty()),i.maxLength!==null&&n.data.length>i.maxLength.value&&(Me(n,{code:he.too_big,maximum:i.maxLength.value,type:"array",inclusive:!0,exact:!1,message:i.maxLength.message}),r.dirty()),n.common.async)return Promise.all([...n.data].map((a,s)=>i.type._parseAsync(new Xs(n,a,n.path,s)))).then(a=>Ki.mergeArray(r,a));const o=[...n.data].map((a,s)=>i.type._parseSync(new Xs(n,a,n.path,s)));return Ki.mergeArray(r,o)}get element(){return this._def.type}min(t,n){return new is({...this._def,minLength:{value:t,message:rt.toString(n)}})}max(t,n){return new is({...this._def,maxLength:{value:t,message:rt.toString(n)}})}length(t,n){return new is({...this._def,exactLength:{value:t,message:rt.toString(n)}})}nonempty(t){return this.min(1,t)}}is.create=(e,t)=>new is({type:e,minLength:null,maxLength:null,exactLength:null,typeName:lt.ZodArray,...xt(t)});function wf(e){if(e instanceof sr){const t={};for(const n in e.shape){const r=e.shape[n];t[n]=$l.create(wf(r))}return new sr({...e._def,shape:()=>t})}else return e instanceof is?new is({...e._def,type:wf(e.element)}):e instanceof $l?$l.create(wf(e.unwrap())):e instanceof Id?Id.create(wf(e.unwrap())):e instanceof Ys?Ys.create(e.items.map(t=>wf(t))):e}class sr extends Et{constructor(){super(...arguments),this._cached=null,this.nonstrict=this.passthrough,this.augment=this.extend}_getCached(){if(this._cached!==null)return this._cached;const t=this._def.shape(),n=Yt.objectKeys(t);return this._cached={shape:t,keys:n}}_parse(t){if(this._getType(t)!==Re.object){const u=this._getOrReturnCtx(t);return Me(u,{code:he.invalid_type,expected:Re.object,received:u.parsedType}),vt}const{status:r,ctx:i}=this._processInputParams(t),{shape:o,keys:a}=this._getCached(),s=[];if(!(this._def.catchall instanceof Hl&&this._def.unknownKeys==="strip"))for(const u in i.data)a.includes(u)||s.push(u);const l=[];for(const u of a){const c=o[u],d=i.data[u];l.push({key:{status:"valid",value:u},value:c._parse(new Xs(i,d,i.path,u)),alwaysSet:u in i.data})}if(this._def.catchall instanceof Hl){const u=this._def.unknownKeys;if(u==="passthrough")for(const c of s)l.push({key:{status:"valid",value:c},value:{status:"valid",value:i.data[c]}});else if(u==="strict")s.length>0&&(Me(i,{code:he.unrecognized_keys,keys:s}),r.dirty());else if(u!=="strip")throw new Error("Internal ZodObject error: invalid unknownKeys value.")}else{const u=this._def.catchall;for(const c of s){const d=i.data[c];l.push({key:{status:"valid",value:c},value:u._parse(new Xs(i,d,i.path,c)),alwaysSet:c in i.data})}}return i.common.async?Promise.resolve().then(async()=>{const u=[];for(const c of l){const d=await c.key;u.push({key:d,value:await c.value,alwaysSet:c.alwaysSet})}return u}).then(u=>Ki.mergeObjectSync(r,u)):Ki.mergeObjectSync(r,l)}get shape(){return this._def.shape()}strict(t){return rt.errToObj,new sr({...this._def,unknownKeys:"strict",...t!==void 0?{errorMap:(n,r)=>{var i,o,a,s;const l=(a=(o=(i=this._def).errorMap)===null||o===void 0?void 0:o.call(i,n,r).message)!==null&&a!==void 0?a:r.defaultError;return n.code==="unrecognized_keys"?{message:(s=rt.errToObj(t).message)!==null&&s!==void 0?s:l}:{message:l}}}:{}})}strip(){return new sr({...this._def,unknownKeys:"strip"})}passthrough(){return new sr({...this._def,unknownKeys:"passthrough"})}extend(t){return new sr({...this._def,shape:()=>({...this._def.shape(),...t})})}merge(t){return new sr({unknownKeys:t._def.unknownKeys,catchall:t._def.catchall,shape:()=>({...this._def.shape(),...t._def.shape()}),typeName:lt.ZodObject})}setKey(t,n){return this.augment({[t]:n})}catchall(t){return new sr({...this._def,catchall:t})}pick(t){const n={};return Yt.objectKeys(t).forEach(r=>{t[r]&&this.shape[r]&&(n[r]=this.shape[r])}),new sr({...this._def,shape:()=>n})}omit(t){const n={};return Yt.objectKeys(this.shape).forEach(r=>{t[r]||(n[r]=this.shape[r])}),new sr({...this._def,shape:()=>n})}deepPartial(){return wf(this)}partial(t){const n={};return Yt.objectKeys(this.shape).forEach(r=>{const i=this.shape[r];t&&!t[r]?n[r]=i:n[r]=i.optional()}),new sr({...this._def,shape:()=>n})}required(t){const n={};return Yt.objectKeys(this.shape).forEach(r=>{if(t&&!t[r])n[r]=this.shape[r];else{let o=this.shape[r];for(;o instanceof $l;)o=o._def.innerType;n[r]=o}}),new sr({...this._def,shape:()=>n})}keyof(){return mB(Yt.objectKeys(this.shape))}}sr.create=(e,t)=>new sr({shape:()=>e,unknownKeys:"strip",catchall:Hl.create(),typeName:lt.ZodObject,...xt(t)});sr.strictCreate=(e,t)=>new sr({shape:()=>e,unknownKeys:"strict",catchall:Hl.create(),typeName:lt.ZodObject,...xt(t)});sr.lazycreate=(e,t)=>new sr({shape:e,unknownKeys:"strip",catchall:Hl.create(),typeName:lt.ZodObject,...xt(t)});class jm extends Et{_parse(t){const{ctx:n}=this._processInputParams(t),r=this._def.options;function i(o){for(const s of o)if(s.result.status==="valid")return s.result;for(const s of o)if(s.result.status==="dirty")return n.common.issues.push(...s.ctx.common.issues),s.result;const a=o.map(s=>new rs(s.ctx.common.issues));return Me(n,{code:he.invalid_union,unionErrors:a}),vt}if(n.common.async)return Promise.all(r.map(async o=>{const a={...n,common:{...n.common,issues:[]},parent:null};return{result:await o._parseAsync({data:n.data,path:n.path,parent:a}),ctx:a}})).then(i);{let o;const a=[];for(const l of r){const u={...n,common:{...n.common,issues:[]},parent:null},c=l._parseSync({data:n.data,path:n.path,parent:u});if(c.status==="valid")return c;c.status==="dirty"&&!o&&(o={result:c,ctx:u}),u.common.issues.length&&a.push(u.common.issues)}if(o)return n.common.issues.push(...o.ctx.common.issues),o.result;const s=a.map(l=>new rs(l));return Me(n,{code:he.invalid_union,unionErrors:s}),vt}}get options(){return this._def.options}}jm.create=(e,t)=>new jm({options:e,typeName:lt.ZodUnion,...xt(t)});const N1=e=>e instanceof Gm?N1(e.schema):e instanceof ls?N1(e.innerType()):e instanceof qm?[e.value]:e instanceof sc?e.options:e instanceof Hm?Object.keys(e.enum):e instanceof Wm?N1(e._def.innerType):e instanceof Bm?[void 0]:e instanceof zm?[null]:null;class XS extends Et{_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Re.object)return Me(n,{code:he.invalid_type,expected:Re.object,received:n.parsedType}),vt;const r=this.discriminator,i=n.data[r],o=this.optionsMap.get(i);return o?n.common.async?o._parseAsync({data:n.data,path:n.path,parent:n}):o._parseSync({data:n.data,path:n.path,parent:n}):(Me(n,{code:he.invalid_union_discriminator,options:Array.from(this.optionsMap.keys()),path:[r]}),vt)}get discriminator(){return this._def.discriminator}get options(){return this._def.options}get optionsMap(){return this._def.optionsMap}static create(t,n,r){const i=new Map;for(const o of n){const a=N1(o.shape[t]);if(!a)throw new Error(`A discriminator value for key \`${t}\` could not be extracted from all schema options`);for(const s of a){if(i.has(s))throw new Error(`Discriminator property ${String(t)} has duplicate value ${String(s)}`);i.set(s,o)}}return new XS({typeName:lt.ZodDiscriminatedUnion,discriminator:t,options:n,optionsMap:i,...xt(r)})}}function oE(e,t){const n=Tu(e),r=Tu(t);if(e===t)return{valid:!0,data:e};if(n===Re.object&&r===Re.object){const i=Yt.objectKeys(t),o=Yt.objectKeys(e).filter(s=>i.indexOf(s)!==-1),a={...e,...t};for(const s of o){const l=oE(e[s],t[s]);if(!l.valid)return{valid:!1};a[s]=l.data}return{valid:!0,data:a}}else if(n===Re.array&&r===Re.array){if(e.length!==t.length)return{valid:!1};const i=[];for(let o=0;o<e.length;o++){const a=e[o],s=t[o],l=oE(a,s);if(!l.valid)return{valid:!1};i.push(l.data)}return{valid:!0,data:i}}else return n===Re.date&&r===Re.date&&+e==+t?{valid:!0,data:e}:{valid:!1}}class Um extends Et{_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=(o,a)=>{if(rE(o)||rE(a))return vt;const s=oE(o.value,a.value);return s.valid?((iE(o)||iE(a))&&n.dirty(),{status:n.value,value:s.data}):(Me(r,{code:he.invalid_intersection_types}),vt)};return r.common.async?Promise.all([this._def.left._parseAsync({data:r.data,path:r.path,parent:r}),this._def.right._parseAsync({data:r.data,path:r.path,parent:r})]).then(([o,a])=>i(o,a)):i(this._def.left._parseSync({data:r.data,path:r.path,parent:r}),this._def.right._parseSync({data:r.data,path:r.path,parent:r}))}}Um.create=(e,t,n)=>new Um({left:e,right:t,typeName:lt.ZodIntersection,...xt(n)});class Ys extends Et{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Re.array)return Me(r,{code:he.invalid_type,expected:Re.array,received:r.parsedType}),vt;if(r.data.length<this._def.items.length)return Me(r,{code:he.too_small,minimum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),vt;!this._def.rest&&r.data.length>this._def.items.length&&(Me(r,{code:he.too_big,maximum:this._def.items.length,inclusive:!0,exact:!1,type:"array"}),n.dirty());const o=[...r.data].map((a,s)=>{const l=this._def.items[s]||this._def.rest;return l?l._parse(new Xs(r,a,r.path,s)):null}).filter(a=>!!a);return r.common.async?Promise.all(o).then(a=>Ki.mergeArray(n,a)):Ki.mergeArray(n,o)}get items(){return this._def.items}rest(t){return new Ys({...this._def,rest:t})}}Ys.create=(e,t)=>{if(!Array.isArray(e))throw new Error("You must pass an array of schemas to z.tuple([ ... ])");return new Ys({items:e,typeName:lt.ZodTuple,rest:null,...xt(t)})};class Vm extends Et{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Re.object)return Me(r,{code:he.invalid_type,expected:Re.object,received:r.parsedType}),vt;const i=[],o=this._def.keyType,a=this._def.valueType;for(const s in r.data)i.push({key:o._parse(new Xs(r,s,r.path,s)),value:a._parse(new Xs(r,r.data[s],r.path,s))});return r.common.async?Ki.mergeObjectAsync(n,i):Ki.mergeObjectSync(n,i)}get element(){return this._def.valueType}static create(t,n,r){return n instanceof Et?new Vm({keyType:t,valueType:n,typeName:lt.ZodRecord,...xt(r)}):new Vm({keyType:Za.create(),valueType:t,typeName:lt.ZodRecord,...xt(n)})}}class Zb extends Et{get keySchema(){return this._def.keyType}get valueSchema(){return this._def.valueType}_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Re.map)return Me(r,{code:he.invalid_type,expected:Re.map,received:r.parsedType}),vt;const i=this._def.keyType,o=this._def.valueType,a=[...r.data.entries()].map(([s,l],u)=>({key:i._parse(new Xs(r,s,r.path,[u,"key"])),value:o._parse(new Xs(r,l,r.path,[u,"value"]))}));if(r.common.async){const s=new Map;return Promise.resolve().then(async()=>{for(const l of a){const u=await l.key,c=await l.value;if(u.status==="aborted"||c.status==="aborted")return vt;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),s.set(u.value,c.value)}return{status:n.value,value:s}})}else{const s=new Map;for(const l of a){const u=l.key,c=l.value;if(u.status==="aborted"||c.status==="aborted")return vt;(u.status==="dirty"||c.status==="dirty")&&n.dirty(),s.set(u.value,c.value)}return{status:n.value,value:s}}}}Zb.create=(e,t,n)=>new Zb({valueType:t,keyType:e,typeName:lt.ZodMap,...xt(n)});class Pd extends Et{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.parsedType!==Re.set)return Me(r,{code:he.invalid_type,expected:Re.set,received:r.parsedType}),vt;const i=this._def;i.minSize!==null&&r.data.size<i.minSize.value&&(Me(r,{code:he.too_small,minimum:i.minSize.value,type:"set",inclusive:!0,exact:!1,message:i.minSize.message}),n.dirty()),i.maxSize!==null&&r.data.size>i.maxSize.value&&(Me(r,{code:he.too_big,maximum:i.maxSize.value,type:"set",inclusive:!0,exact:!1,message:i.maxSize.message}),n.dirty());const o=this._def.valueType;function a(l){const u=new Set;for(const c of l){if(c.status==="aborted")return vt;c.status==="dirty"&&n.dirty(),u.add(c.value)}return{status:n.value,value:u}}const s=[...r.data.values()].map((l,u)=>o._parse(new Xs(r,l,r.path,u)));return r.common.async?Promise.all(s).then(l=>a(l)):a(s)}min(t,n){return new Pd({...this._def,minSize:{value:t,message:rt.toString(n)}})}max(t,n){return new Pd({...this._def,maxSize:{value:t,message:rt.toString(n)}})}size(t,n){return this.min(t,n).max(t,n)}nonempty(t){return this.min(1,t)}}Pd.create=(e,t)=>new Pd({valueType:e,minSize:null,maxSize:null,typeName:lt.ZodSet,...xt(t)});class fh extends Et{constructor(){super(...arguments),this.validate=this.implement}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Re.function)return Me(n,{code:he.invalid_type,expected:Re.function,received:n.parsedType}),vt;function r(s,l){return Kb({data:s,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Wb(),Dm].filter(u=>!!u),issueData:{code:he.invalid_arguments,argumentsError:l}})}function i(s,l){return Kb({data:s,path:n.path,errorMaps:[n.common.contextualErrorMap,n.schemaErrorMap,Wb(),Dm].filter(u=>!!u),issueData:{code:he.invalid_return_type,returnTypeError:l}})}const o={errorMap:n.common.contextualErrorMap},a=n.data;if(this._def.returns instanceof Hh){const s=this;return so(async function(...l){const u=new rs([]),c=await s._def.args.parseAsync(l,o).catch(h=>{throw u.addIssue(r(l,h)),u}),d=await Reflect.apply(a,this,c);return await s._def.returns._def.type.parseAsync(d,o).catch(h=>{throw u.addIssue(i(d,h)),u})})}else{const s=this;return so(function(...l){const u=s._def.args.safeParse(l,o);if(!u.success)throw new rs([r(l,u.error)]);const c=Reflect.apply(a,this,u.data),d=s._def.returns.safeParse(c,o);if(!d.success)throw new rs([i(c,d.error)]);return d.data})}}parameters(){return this._def.args}returnType(){return this._def.returns}args(...t){return new fh({...this._def,args:Ys.create(t).rest(pd.create())})}returns(t){return new fh({...this._def,returns:t})}implement(t){return this.parse(t)}strictImplement(t){return this.parse(t)}static create(t,n,r){return new fh({args:t||Ys.create([]).rest(pd.create()),returns:n||pd.create(),typeName:lt.ZodFunction,...xt(r)})}}class Gm extends Et{get schema(){return this._def.getter()}_parse(t){const{ctx:n}=this._processInputParams(t);return this._def.getter()._parse({data:n.data,path:n.path,parent:n})}}Gm.create=(e,t)=>new Gm({getter:e,typeName:lt.ZodLazy,...xt(t)});class qm extends Et{_parse(t){if(t.data!==this._def.value){const n=this._getOrReturnCtx(t);return Me(n,{received:n.data,code:he.invalid_literal,expected:this._def.value}),vt}return{status:"valid",value:t.data}}get value(){return this._def.value}}qm.create=(e,t)=>new qm({value:e,typeName:lt.ZodLiteral,...xt(t)});function mB(e,t){return new sc({values:e,typeName:lt.ZodEnum,...xt(t)})}class sc extends Et{_parse(t){if(typeof t.data!="string"){const n=this._getOrReturnCtx(t),r=this._def.values;return Me(n,{expected:Yt.joinValues(r),received:n.parsedType,code:he.invalid_type}),vt}if(this._def.values.indexOf(t.data)===-1){const n=this._getOrReturnCtx(t),r=this._def.values;return Me(n,{received:n.data,code:he.invalid_enum_value,options:r}),vt}return so(t.data)}get options(){return this._def.values}get enum(){const t={};for(const n of this._def.values)t[n]=n;return t}get Values(){const t={};for(const n of this._def.values)t[n]=n;return t}get Enum(){const t={};for(const n of this._def.values)t[n]=n;return t}extract(t){return sc.create(t)}exclude(t){return sc.create(this.options.filter(n=>!t.includes(n)))}}sc.create=mB;class Hm extends Et{_parse(t){const n=Yt.getValidEnumValues(this._def.values),r=this._getOrReturnCtx(t);if(r.parsedType!==Re.string&&r.parsedType!==Re.number){const i=Yt.objectValues(n);return Me(r,{expected:Yt.joinValues(i),received:r.parsedType,code:he.invalid_type}),vt}if(n.indexOf(t.data)===-1){const i=Yt.objectValues(n);return Me(r,{received:r.data,code:he.invalid_enum_value,options:i}),vt}return so(t.data)}get enum(){return this._def.values}}Hm.create=(e,t)=>new Hm({values:e,typeName:lt.ZodNativeEnum,...xt(t)});class Hh extends Et{unwrap(){return this._def.type}_parse(t){const{ctx:n}=this._processInputParams(t);if(n.parsedType!==Re.promise&&n.common.async===!1)return Me(n,{code:he.invalid_type,expected:Re.promise,received:n.parsedType}),vt;const r=n.parsedType===Re.promise?n.data:Promise.resolve(n.data);return so(r.then(i=>this._def.type.parseAsync(i,{path:n.path,errorMap:n.common.contextualErrorMap})))}}Hh.create=(e,t)=>new Hh({type:e,typeName:lt.ZodPromise,...xt(t)});class ls extends Et{innerType(){return this._def.schema}sourceType(){return this._def.schema._def.typeName===lt.ZodEffects?this._def.schema.sourceType():this._def.schema}_parse(t){const{status:n,ctx:r}=this._processInputParams(t),i=this._def.effect||null,o={addIssue:a=>{Me(r,a),a.fatal?n.abort():n.dirty()},get path(){return r.path}};if(o.addIssue=o.addIssue.bind(o),i.type==="preprocess"){const a=i.transform(r.data,o);return r.common.issues.length?{status:"dirty",value:r.data}:r.common.async?Promise.resolve(a).then(s=>this._def.schema._parseAsync({data:s,path:r.path,parent:r})):this._def.schema._parseSync({data:a,path:r.path,parent:r})}if(i.type==="refinement"){const a=s=>{const l=i.refinement(s,o);if(r.common.async)return Promise.resolve(l);if(l instanceof Promise)throw new Error("Async refinement encountered during synchronous parse operation. Use .parseAsync instead.");return s};if(r.common.async===!1){const s=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});return s.status==="aborted"?vt:(s.status==="dirty"&&n.dirty(),a(s.value),{status:n.value,value:s.value})}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(s=>s.status==="aborted"?vt:(s.status==="dirty"&&n.dirty(),a(s.value).then(()=>({status:n.value,value:s.value}))))}if(i.type==="transform")if(r.common.async===!1){const a=this._def.schema._parseSync({data:r.data,path:r.path,parent:r});if(!Lm(a))return a;const s=i.transform(a.value,o);if(s instanceof Promise)throw new Error("Asynchronous transform encountered during synchronous parse operation. Use .parseAsync instead.");return{status:n.value,value:s}}else return this._def.schema._parseAsync({data:r.data,path:r.path,parent:r}).then(a=>Lm(a)?Promise.resolve(i.transform(a.value,o)).then(s=>({status:n.value,value:s})):a);Yt.assertNever(i)}}ls.create=(e,t,n)=>new ls({schema:e,typeName:lt.ZodEffects,effect:t,...xt(n)});ls.createWithPreprocess=(e,t,n)=>new ls({schema:t,effect:{type:"preprocess",transform:e},typeName:lt.ZodEffects,...xt(n)});class $l extends Et{_parse(t){return this._getType(t)===Re.undefined?so(void 0):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}$l.create=(e,t)=>new $l({innerType:e,typeName:lt.ZodOptional,...xt(t)});class Id extends Et{_parse(t){return this._getType(t)===Re.null?so(null):this._def.innerType._parse(t)}unwrap(){return this._def.innerType}}Id.create=(e,t)=>new Id({innerType:e,typeName:lt.ZodNullable,...xt(t)});class Wm extends Et{_parse(t){const{ctx:n}=this._processInputParams(t);let r=n.data;return n.parsedType===Re.undefined&&(r=this._def.defaultValue()),this._def.innerType._parse({data:r,path:n.path,parent:n})}removeDefault(){return this._def.innerType}}Wm.create=(e,t)=>new Wm({innerType:e,typeName:lt.ZodDefault,defaultValue:typeof t.default=="function"?t.default:()=>t.default,...xt(t)});class Jb extends Et{_parse(t){const{ctx:n}=this._processInputParams(t),r={...n,common:{...n.common,issues:[]}},i=this._def.innerType._parse({data:r.data,path:r.path,parent:{...r}});return Qb(i)?i.then(o=>({status:"valid",value:o.status==="valid"?o.value:this._def.catchValue({get error(){return new rs(r.common.issues)},input:r.data})})):{status:"valid",value:i.status==="valid"?i.value:this._def.catchValue({get error(){return new rs(r.common.issues)},input:r.data})}}removeCatch(){return this._def.innerType}}Jb.create=(e,t)=>new Jb({innerType:e,typeName:lt.ZodCatch,catchValue:typeof t.catch=="function"?t.catch:()=>t.catch,...xt(t)});class e_ extends Et{_parse(t){if(this._getType(t)!==Re.nan){const r=this._getOrReturnCtx(t);return Me(r,{code:he.invalid_type,expected:Re.nan,received:r.parsedType}),vt}return{status:"valid",value:t.data}}}e_.create=e=>new e_({typeName:lt.ZodNaN,...xt(e)});const Zae=Symbol("zod_brand");class yB extends Et{_parse(t){const{ctx:n}=this._processInputParams(t),r=n.data;return this._def.type._parse({data:r,path:n.path,parent:n})}unwrap(){return this._def.type}}class uy extends Et{_parse(t){const{status:n,ctx:r}=this._processInputParams(t);if(r.common.async)return(async()=>{const o=await this._def.in._parseAsync({data:r.data,path:r.path,parent:r});return o.status==="aborted"?vt:o.status==="dirty"?(n.dirty(),gB(o.value)):this._def.out._parseAsync({data:o.value,path:r.path,parent:r})})();{const i=this._def.in._parseSync({data:r.data,path:r.path,parent:r});return i.status==="aborted"?vt:i.status==="dirty"?(n.dirty(),{status:"dirty",value:i.value}):this._def.out._parseSync({data:i.value,path:r.path,parent:r})}}static create(t,n){return new uy({in:t,out:n,typeName:lt.ZodPipeline})}}class t_ extends Et{_parse(t){const n=this._def.innerType._parse(t);return Lm(n)&&(n.value=Object.freeze(n.value)),n}}t_.create=(e,t)=>new t_({innerType:e,typeName:lt.ZodReadonly,...xt(t)});const vB=(e,t={},n)=>e?qh.create().superRefine((r,i)=>{var o,a;if(!e(r)){const s=typeof t=="function"?t(r):typeof t=="string"?{message:t}:t,l=(a=(o=s.fatal)!==null&&o!==void 0?o:n)!==null&&a!==void 0?a:!0,u=typeof s=="string"?{message:s}:s;i.addIssue({code:"custom",...u,fatal:l})}}):qh.create(),Jae={object:sr.lazycreate};var lt;(function(e){e.ZodString="ZodString",e.ZodNumber="ZodNumber",e.ZodNaN="ZodNaN",e.ZodBigInt="ZodBigInt",e.ZodBoolean="ZodBoolean",e.ZodDate="ZodDate",e.ZodSymbol="ZodSymbol",e.ZodUndefined="ZodUndefined",e.ZodNull="ZodNull",e.ZodAny="ZodAny",e.ZodUnknown="ZodUnknown",e.ZodNever="ZodNever",e.ZodVoid="ZodVoid",e.ZodArray="ZodArray",e.ZodObject="ZodObject",e.ZodUnion="ZodUnion",e.ZodDiscriminatedUnion="ZodDiscriminatedUnion",e.ZodIntersection="ZodIntersection",e.ZodTuple="ZodTuple",e.ZodRecord="ZodRecord",e.ZodMap="ZodMap",e.ZodSet="ZodSet",e.ZodFunction="ZodFunction",e.ZodLazy="ZodLazy",e.ZodLiteral="ZodLiteral",e.ZodEnum="ZodEnum",e.ZodEffects="ZodEffects",e.ZodNativeEnum="ZodNativeEnum",e.ZodOptional="ZodOptional",e.ZodNullable="ZodNullable",e.ZodDefault="ZodDefault",e.ZodCatch="ZodCatch",e.ZodPromise="ZodPromise",e.ZodBranded="ZodBranded",e.ZodPipeline="ZodPipeline",e.ZodReadonly="ZodReadonly"})(lt||(lt={}));const ese=(e,t={message:`Input not instance of ${e.name}`})=>vB(n=>n instanceof e,t),bB=Za.create,_B=oc.create,tse=e_.create,nse=ac.create,SB=Fm.create,rse=Ad.create,ise=Xb.create,ose=Bm.create,ase=zm.create,sse=qh.create,lse=pd.create,use=Hl.create,cse=Yb.create,dse=is.create,fse=sr.create,hse=sr.strictCreate,pse=jm.create,gse=XS.create,mse=Um.create,yse=Ys.create,vse=Vm.create,bse=Zb.create,_se=Pd.create,Sse=fh.create,xse=Gm.create,wse=qm.create,Cse=sc.create,Ese=Hm.create,Tse=Hh.create,eI=ls.create,kse=$l.create,Ase=Id.create,Pse=ls.createWithPreprocess,Ise=uy.create,Rse=()=>bB().optional(),Ose=()=>_B().optional(),Mse=()=>SB().optional(),Nse={string:e=>Za.create({...e,coerce:!0}),number:e=>oc.create({...e,coerce:!0}),boolean:e=>Fm.create({...e,coerce:!0}),bigint:e=>ac.create({...e,coerce:!0}),date:e=>Ad.create({...e,coerce:!0})},$se=vt;var z=Object.freeze({__proto__:null,defaultErrorMap:Dm,setErrorMap:Bae,getErrorMap:Wb,makeIssue:Kb,EMPTY_PATH:zae,addIssueToContext:Me,ParseStatus:Ki,INVALID:vt,DIRTY:gB,OK:so,isAborted:rE,isDirty:iE,isValid:Lm,isAsync:Qb,get util(){return Yt},get objectUtil(){return nE},ZodParsedType:Re,getParsedType:Tu,ZodType:Et,ZodString:Za,ZodNumber:oc,ZodBigInt:ac,ZodBoolean:Fm,ZodDate:Ad,ZodSymbol:Xb,ZodUndefined:Bm,ZodNull:zm,ZodAny:qh,ZodUnknown:pd,ZodNever:Hl,ZodVoid:Yb,ZodArray:is,ZodObject:sr,ZodUnion:jm,ZodDiscriminatedUnion:XS,ZodIntersection:Um,ZodTuple:Ys,ZodRecord:Vm,ZodMap:Zb,ZodSet:Pd,ZodFunction:fh,ZodLazy:Gm,ZodLiteral:qm,ZodEnum:sc,ZodNativeEnum:Hm,ZodPromise:Hh,ZodEffects:ls,ZodTransformer:ls,ZodOptional:$l,ZodNullable:Id,ZodDefault:Wm,ZodCatch:Jb,ZodNaN:e_,BRAND:Zae,ZodBranded:yB,ZodPipeline:uy,ZodReadonly:t_,custom:vB,Schema:Et,ZodSchema:Et,late:Jae,get ZodFirstPartyTypeKind(){return lt},coerce:Nse,any:sse,array:dse,bigint:nse,boolean:SB,date:rse,discriminatedUnion:gse,effect:eI,enum:Cse,function:Sse,instanceof:ese,intersection:mse,lazy:xse,literal:wse,map:bse,nan:tse,nativeEnum:Ese,never:use,null:ase,nullable:Ase,number:_B,object:fse,oboolean:Mse,onumber:Ose,optional:kse,ostring:Rse,pipeline:Ise,preprocess:Pse,promise:Tse,record:vse,set:_se,strictObject:hse,string:bB,symbol:ise,transformer:eI,tuple:yse,undefined:ose,union:pse,unknown:lse,void:cse,NEVER:$se,ZodIssueCode:he,quotelessJson:Fae,ZodError:rs});const Dse=z.string(),lUe=e=>Dse.safeParse(e).success,Lse=z.string(),uUe=e=>Lse.safeParse(e).success,Fse=z.string(),cUe=e=>Fse.safeParse(e).success,Bse=z.string(),dUe=e=>Bse.safeParse(e).success,zse=z.number().int().min(1),fUe=e=>zse.safeParse(e).success,jse=z.number().min(1),hUe=e=>jse.safeParse(e).success,xB=z.enum(["euler","deis","ddim","ddpm","dpmpp_2s","dpmpp_2m","dpmpp_2m_sde","dpmpp_sde","heun","kdpm_2","lms","pndm","unipc","euler_k","dpmpp_2s_k","dpmpp_2m_k","dpmpp_2m_sde_k","dpmpp_sde_k","heun_k","lms_k","euler_a","kdpm_2_a"]),pUe=e=>xB.safeParse(e).success,gUe={euler:"Euler",deis:"DEIS",ddim:"DDIM",ddpm:"DDPM",dpmpp_sde:"DPM++ SDE",dpmpp_2s:"DPM++ 2S",dpmpp_2m:"DPM++ 2M",dpmpp_2m_sde:"DPM++ 2M SDE",heun:"Heun",kdpm_2:"KDPM 2",lms:"LMS",pndm:"PNDM",unipc:"UniPC",euler_k:"Euler Karras",dpmpp_sde_k:"DPM++ SDE Karras",dpmpp_2s_k:"DPM++ 2S Karras",dpmpp_2m_k:"DPM++ 2M Karras",dpmpp_2m_sde_k:"DPM++ 2M SDE Karras",heun_k:"Heun Karras",lms_k:"LMS Karras",euler_a:"Euler Ancestral",kdpm_2_a:"KDPM 2 Ancestral"},Use=z.number().int().min(0).max(qg),mUe=e=>Use.safeParse(e).success,Vse=z.number().multipleOf(8).min(64),yUe=e=>Vse.safeParse(e).success,Gse=z.number().multipleOf(8).min(64),vUe=e=>Gse.safeParse(e).success,xc=z.enum(["any","sd-1","sd-2","sdxl","sdxl-refiner"]),YS=z.object({model_name:z.string().min(1),base_model:xc,model_type:z.literal("main")}),bUe=e=>YS.safeParse(e).success,mk=z.object({model_name:z.string().min(1),base_model:z.literal("sdxl-refiner"),model_type:z.literal("main")}),_Ue=e=>mk.safeParse(e).success,wB=z.object({model_name:z.string().min(1),base_model:xc,model_type:z.literal("onnx")}),cy=z.union([YS,wB]),qse=z.object({model_name:z.string().min(1),base_model:xc}),Hse=z.object({model_name:z.string().min(1),base_model:xc}),SUe=e=>Hse.safeParse(e).success,Wse=z.object({model_name:z.string().min(1),base_model:xc}),xUe=e=>Wse.safeParse(e).success,Kse=z.object({model_name:z.string().min(1),base_model:xc}),wUe=z.object({model_name:z.string().min(1),base_model:xc}),CUe=e=>Kse.safeParse(e).success,Qse=z.number().min(0).max(1),EUe=e=>Qse.safeParse(e).success;z.enum(["fp16","fp32"]);const Xse=z.number().min(1).max(10),TUe=e=>Xse.safeParse(e).success,Yse=z.number().min(1).max(10),kUe=e=>Yse.safeParse(e).success,Zse=z.number().min(0).max(1),AUe=e=>Zse.safeParse(e).success;z.enum(["box","gaussian"]);z.enum(["unmasked","mask","edge"]);const yk={cfgScale:7.5,height:512,img2imgStrength:.75,infillMethod:"patchmatch",iterations:1,perlin:0,positivePrompt:"",negativePrompt:"",scheduler:"euler",maskBlur:16,maskBlurMethod:"box",canvasCoherenceMode:"unmasked",canvasCoherenceSteps:20,canvasCoherenceStrength:.3,seed:0,seedWeights:"",shouldFitToWidthHeight:!0,shouldGenerateVariations:!1,shouldRandomizeSeed:!0,steps:50,threshold:0,infillTileSize:32,infillPatchmatchDownscaleSize:1,variationAmount:.1,width:512,shouldUseSymmetry:!1,horizontalSymmetrySteps:0,verticalSymmetrySteps:0,model:null,vae:null,vaePrecision:"fp32",seamlessXAxis:!1,seamlessYAxis:!1,clipSkip:0,shouldUseCpuNoise:!0,shouldShowAdvancedOptions:!1,aspectRatio:null,shouldLockAspectRatio:!1},Jse=yk,CB=rr({name:"generation",initialState:Jse,reducers:{setPositivePrompt:(e,t)=>{e.positivePrompt=t.payload},setNegativePrompt:(e,t)=>{e.negativePrompt=t.payload},setIterations:(e,t)=>{e.iterations=t.payload},setSteps:(e,t)=>{e.steps=t.payload},clampSymmetrySteps:e=>{e.horizontalSymmetrySteps=Nu(e.horizontalSymmetrySteps,0,e.steps),e.verticalSymmetrySteps=Nu(e.verticalSymmetrySteps,0,e.steps)},setCfgScale:(e,t)=>{e.cfgScale=t.payload},setThreshold:(e,t)=>{e.threshold=t.payload},setPerlin:(e,t)=>{e.perlin=t.payload},setHeight:(e,t)=>{e.height=t.payload},setWidth:(e,t)=>{e.width=t.payload},toggleSize:e=>{const[t,n]=[e.width,e.height];e.width=n,e.height=t},setScheduler:(e,t)=>{e.scheduler=t.payload},setSeed:(e,t)=>{e.seed=t.payload,e.shouldRandomizeSeed=!1},setImg2imgStrength:(e,t)=>{e.img2imgStrength=t.payload},setSeamlessXAxis:(e,t)=>{e.seamlessXAxis=t.payload},setSeamlessYAxis:(e,t)=>{e.seamlessYAxis=t.payload},setShouldFitToWidthHeight:(e,t)=>{e.shouldFitToWidthHeight=t.payload},resetSeed:e=>{e.seed=-1},setShouldGenerateVariations:(e,t)=>{e.shouldGenerateVariations=t.payload},setVariationAmount:(e,t)=>{e.variationAmount=t.payload},setSeedWeights:(e,t)=>{e.seedWeights=t.payload,e.shouldGenerateVariations=!0,e.variationAmount=0},resetParametersState:e=>({...e,...yk}),setShouldRandomizeSeed:(e,t)=>{e.shouldRandomizeSeed=t.payload},clearInitialImage:e=>{e.initialImage=void 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n=t.payload;e.aspectRatio=n,n&&(e.height=Wa(e.width/n,8))},setShouldLockAspectRatio:(e,t)=>{e.shouldLockAspectRatio=t.payload}},extraReducers:e=>{e.addCase(Nae,(t,n)=>{var i;const r=(i=n.payload.sd)==null?void 0:i.defaultModel;if(r&&!t.model){const[o,a,s]=r.split("/"),l=YS.safeParse({model_name:s,base_model:o,model_type:a});l.success&&(t.model=l.data)}})}}),{clampSymmetrySteps:PUe,clearInitialImage:vk,resetParametersState:IUe,resetSeed:RUe,setCfgScale:OUe,setWidth:tI,setHeight:nI,toggleSize:MUe,setImg2imgStrength:NUe,setInfillMethod:ele,setIterations:$Ue,setPerlin:DUe,setPositivePrompt:tle,setNegativePrompt:LUe,setScheduler:FUe,setMaskBlur:BUe,setMaskBlurMethod:zUe,setCanvasCoherenceMode:jUe,setCanvasCoherenceSteps:UUe,setCanvasCoherenceStrength:VUe,setSeed:GUe,setSeedWeights:qUe,setShouldFitToWidthHeight:HUe,setShouldGenerateVariations:WUe,setShouldRandomizeSeed:KUe,setSteps:QUe,setThreshold:XUe,setInfillTileSize:YUe,setInfillPatchmatchDownscaleSize:ZUe,setVariationAmount:JUe,setShouldUseSymmetry:eVe,setHorizontalSymmetrySteps:tVe,setVerticalSymmetrySteps:nVe,initialImageChanged:ZS,modelChanged:$u,vaeSelected:EB,setSeamlessXAxis:rVe,setSeamlessYAxis:iVe,setClipSkip:oVe,shouldUseCpuNoiseChanged:aVe,setAspectRatio:nle,setShouldLockAspectRatio:sVe,vaePrecisionChanged:lVe}=CB.actions,rle=CB.reducer,cv=(e,t,n,r,i,o,a)=>{const 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r},ole=e=>({width:Wa(e.width,64),height:Wa(e.height,64)}),pVe=[{label:"Base",value:"base"},{label:"Mask",value:"mask"}],gVe=[{label:"None",value:"none"},{label:"Auto",value:"auto"},{label:"Manual",value:"manual"}],TB=e=>e.kind==="line"&&e.layer==="mask",mVe=e=>e.kind==="line"&&e.layer==="base",ale=e=>e.kind==="image"&&e.layer==="base",yVe=e=>e.kind==="fillRect"&&e.layer==="base",vVe=e=>e.kind==="eraseRect"&&e.layer==="base",sle=e=>e.kind==="line",vg={objects:[],stagingArea:{images:[],selectedImageIndex:-1}},kB={boundingBoxCoordinates:{x:0,y:0},boundingBoxDimensions:{width:512,height:512},boundingBoxPreviewFill:{r:0,g:0,b:0,a:.5},boundingBoxScaleMethod:"none",brushColor:{r:90,g:90,b:255,a:1},brushSize:50,colorPickerColor:{r:90,g:90,b:255,a:1},cursorPosition:null,futureLayerStates:[],isDrawing:!1,isMaskEnabled:!0,isMouseOverBoundingBox:!1,isMoveBoundingBoxKeyHeld:!1,isMoveStageKeyHeld:!1,isMovingBoundingBox:!1,isMovingStage:!1,isTransformingBoundingBox:!1,layer:"base",layerState:vg,maskColor:{r:255,g:90,b:90,a:1},maxHistory:128,minimumStageScale:1,pastLayerStates:[],scaledBoundingBoxDimensions:{width:512,height:512},shouldAntialias:!0,shouldAutoSave:!1,shouldCropToBoundingBoxOnSave:!1,shouldDarkenOutsideBoundingBox:!1,shouldLockBoundingBox:!1,shouldPreserveMaskedArea:!1,shouldRestrictStrokesToBox:!0,shouldShowBoundingBox:!0,shouldShowBrush:!0,shouldShowBrushPreview:!1,shouldShowCanvasDebugInfo:!1,shouldShowCheckboardTransparency:!1,shouldShowGrid:!0,shouldShowIntermediates:!0,shouldShowStagingImage:!0,shouldShowStagingOutline:!0,shouldSnapToGrid:!0,stageCoordinates:{x:0,y:0},stageDimensions:{width:0,height:0},stageScale:1,tool:"brush",batchIds:[]},AB=rr({name:"canvas",initialState:kB,reducers:{setTool:(e,t)=>{const n=t.payload;e.tool=t.payload,n!=="move"&&(e.isTransformingBoundingBox=!1,e.isMouseOverBoundingBox=!1,e.isMovingBoundingBox=!1,e.isMovingStage=!1)},setLayer:(e,t)=>{e.layer=t.payload},toggleTool:e=>{const t=e.tool;t!=="move"&&(e.tool=t==="brush"?"eraser":"brush")},setMaskColor:(e,t)=>{e.maskColor=t.payload},setBrushColor:(e,t)=>{e.brushColor=t.payload},setBrushSize:(e,t)=>{e.brushSize=t.payload},clearMask:e=>{e.pastLayerStates.push(Cn(e.layerState)),e.layerState.objects=e.layerState.objects.filter(t=>!TB(t)),e.futureLayerStates=[],e.shouldPreserveMaskedArea=!1},toggleShouldInvertMask:e=>{e.shouldPreserveMaskedArea=!e.shouldPreserveMaskedArea},toggleShouldShowMask:e=>{e.isMaskEnabled=!e.isMaskEnabled},setShouldPreserveMaskedArea:(e,t)=>{e.shouldPreserveMaskedArea=t.payload},setIsMaskEnabled:(e,t)=>{e.isMaskEnabled=t.payload,e.layer=t.payload?"mask":"base"},setShouldShowCheckboardTransparency:(e,t)=>{e.shouldShowCheckboardTransparency=t.payload},setShouldShowBrushPreview:(e,t)=>{e.shouldShowBrushPreview=t.payload},setShouldShowBrush:(e,t)=>{e.shouldShowBrush=t.payload},setCursorPosition:(e,t)=>{e.cursorPosition=t.payload},setInitialCanvasImage:(e,t)=>{const 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n=t.payload;!n||!e.layerState.stagingArea.boundingBox||(e.pastLayerStates.push(Cn(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.stagingArea.images.push({kind:"image",layer:"base",...e.layerState.stagingArea.boundingBox,imageName:n.image_name}),e.layerState.stagingArea.selectedImageIndex=e.layerState.stagingArea.images.length-1,e.futureLayerStates=[])},discardStagedImages:e=>{e.pastLayerStates.push(Cn(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.stagingArea=Cn(Cn(vg)).stagingArea,e.futureLayerStates=[],e.shouldShowStagingOutline=!0,e.shouldShowStagingImage=!0,e.batchIds=[]},addFillRect:e=>{const{boundingBoxCoordinates:t,boundingBoxDimensions:n,brushColor:r}=e;e.pastLayerStates.push(Cn(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.objects.push({kind:"fillRect",layer:"base",...t,...n,color:r}),e.futureLayerStates=[]},addEraseRect:e=>{const{boundingBoxCoordinates:t,boundingBoxDimensions:n}=e;e.pastLayerStates.push(Cn(e.layerState)),e.pastLayerStates.length>e.maxHistory&&e.pastLayerStates.shift(),e.layerState.objects.push({kind:"eraseRect",layer:"base",...t,...n}),e.futureLayerStates=[]},addLine:(e,t)=>{const{tool:n,layer:r,brushColor:i,brushSize:o,shouldRestrictStrokesToBox:a}=e;if(n==="move"||n==="colorPicker")return;const 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ni})]);dn.catch(function(){}),qe[Ye]=wt;var fn=te.endpoints[ie].select(dt.type===J.query?Se:Ye),$i=Ze.dispatch(function(Sr,vi,Xn){return Xn}),Lo=b(_({},Ze),{getCacheEntry:function(){return fn(Ze.getState())},requestId:ct,extra:$i,updateCachedData:dt.type===J.query?function(Sr){return Ze.dispatch(te.util.updateQueryData(ie,Se,Sr))}:void 0,cacheDataLoaded:dn,cacheEntryRemoved:Tt}),Di=_t(Se,Lo);Promise.resolve(Di).catch(function(Sr){if(Sr!==ni)throw Sr})}}return function(ie,Se,Ye){var Ze=function(fn){return Ge(fn)?fn.meta.arg.queryCacheKey:ut(fn)?fn.meta.requestId:te.internalActions.removeQueryResult.match(fn)?fn.payload.queryCacheKey:te.internalActions.removeMutationResult.match(fn)?Ir(fn.payload):""}(ie);if(oe.pending.match(ie)){var ct=Ye[re].queries[Ze],dt=Se.getState()[re].queries[Ze];!ct&&dt&&Ie(ie.meta.arg.endpointName,ie.meta.arg.originalArgs,Ze,Se,ie.meta.requestId)}else if(je.pending.match(ie))(dt=Se.getState()[re].mutations[Ze])&&Ie(ie.meta.arg.endpointName,ie.meta.arg.originalArgs,Ze,Se,ie.meta.requestId);else if($e(ie))(dn=qe[Ze])!=null&&dn.valueResolved&&(dn.valueResolved({data:ie.payload,meta:ie.meta.baseQueryMeta}),delete dn.valueResolved);else if(te.internalActions.removeQueryResult.match(ie)||te.internalActions.removeMutationResult.match(ie))(dn=qe[Ze])&&(delete qe[Ze],dn.cacheEntryRemoved());else if(te.util.resetApiState.match(ie))for(var _t=0,wt=Object.entries(qe);_t<wt.length;_t++){var Tt=wt[_t],dn=Tt[1];delete qe[Tt[0]],dn.cacheEntryRemoved()}}},go=v(Fo),mi=function(H){var te=H.api,re=H.context,de=H.queryThunk,oe=H.mutationThunk,je=(0,go.isPending)(de,oe),Ge=(0,go.isRejected)(de,oe),ut=(0,go.isFulfilled)(de,oe),$e={};return function(qe,Ie){var ie,Se,Ye;if(je(qe)){var Ze=qe.meta,ct=Ze.requestId,dt=Ze.arg,_t=dt.endpointName,wt=dt.originalArgs,Tt=re.endpointDefinitions[_t],dn=Tt==null?void 0:Tt.onQueryStarted;if(dn){var fn={},$i=new Promise(function(Fa,it){fn.resolve=Fa,fn.reject=it});$i.catch(function(){}),$e[ct]=fn;var Lo=te.endpoints[_t].select(Tt.type===J.query?wt:ct),Di=Ie.dispatch(function(Fa,it,hn){return hn}),Sr=b(_({},Ie),{getCacheEntry:function(){return Lo(Ie.getState())},requestId:ct,extra:Di,updateCachedData:Tt.type===J.query?function(Fa){return Ie.dispatch(te.util.updateQueryData(_t,wt,Fa))}:void 0,queryFulfilled:$i});dn(wt,Sr)}}else if(ut(qe)){var vi=qe.meta,Xn=vi.baseQueryMeta;(ie=$e[ct=vi.requestId])==null||ie.resolve({data:qe.payload,meta:Xn}),delete $e[ct]}else if(Ge(qe)){var mo=qe.meta;Xn=mo.baseQueryMeta,(Ye=$e[ct=mo.requestId])==null||Ye.reject({error:(Se=qe.payload)!=null?Se:qe.error,isUnhandledError:!mo.rejectedWithValue,meta:Xn}),delete $e[ct]}}},jr=function(H){var te=H.api,re=H.context.apiUid;return function(de,oe){te.util.resetApiState.match(de)&&oe.dispatch(te.internalActions.middlewareRegistered(re))}},La=v(Gp),gs=typeof queueMicrotask=="function"?queueMicrotask.bind(typeof window<"u"?window:typeof yt<"u"?yt:globalThis):function(H){return(Do||(Do=Promise.resolve())).then(H).catch(function(te){return setTimeout(function(){throw te},0)})};function yi(H){for(var te=[],re=1;re<arguments.length;re++)te[re-1]=arguments[re];Object.assign.apply(Object,i([H],te))}var ou=v(Gp),oa=Symbol(),ri=function(){return{name:oa,init:function(H,te,re){var de=te.baseQuery,oe=te.reducerPath,je=te.serializeQueryArgs,Ge=te.keepUnusedDataFor,ut=te.refetchOnMountOrArgChange,$e=te.refetchOnFocus,qe=te.refetchOnReconnect;(0,ou.enablePatches)();var Ie=function(it){return it};Object.assign(H,{reducerPath:oe,endpoints:{},internalActions:{onOnline:U,onOffline:G,onFocus:N,onFocusLost:B},util:{}});var ie=function(it){var hn=this,rn=it.reducerPath,or=it.baseQuery,xr=it.context.endpointDefinitions,bi=it.serializeQueryArgs,Sn=it.api,Nt=function(xe,Je){return S(hn,[xe,Je],function(Ue,ke){var He,ft,Ve,we,ue,Ee,fe,ge,Ce,et,Qe,Ae,kt,Ut=ke.signal,Gt=ke.abort,ar=ke.rejectWithValue,gr=ke.fulfillWithValue,jn=ke.dispatch,Pn=ke.getState,Xi=ke.extra;return r(this,function(F){switch(F.label){case 0:He=xr[Ue.endpointName],F.label=1;case 1:return F.trys.push([1,8,,13]),ft=Pr,Ve=void 0,we={signal:Ut,abort:Gt,dispatch:jn,getState:Pn,extra:Xi,endpoint:Ue.endpointName,type:Ue.type,forced:Ue.type==="query"?Wt(Ue,Pn()):void 0},(ue=Ue.type==="query"?Ue[ot]:void 0)?(Ve=ue(),[3,6]):[3,2];case 2:return He.query?[4,or(He.query(Ue.originalArgs),we,He.extraOptions)]:[3,4];case 3:return Ve=F.sent(),He.transformResponse&&(ft=He.transformResponse),[3,6];case 4:return[4,He.queryFn(Ue.originalArgs,we,He.extraOptions,function(V){return or(V,we,He.extraOptions)})];case 5:Ve=F.sent(),F.label=6;case 6:if(Ve.error)throw new A(Ve.error,Ve.meta);return Ee=gr,[4,ft(Ve.data,Ve.meta,Ue.originalArgs)];case 7:return[2,Ee.apply(void 0,[F.sent(),(Ae={fulfilledTimeStamp:Date.now(),baseQueryMeta:Ve.meta},Ae[en.SHOULD_AUTOBATCH]=!0,Ae)])];case 8:if(fe=F.sent(),!((ge=fe)instanceof A))return[3,12];Ce=Pr,He.query&&He.transformErrorResponse&&(Ce=He.transformErrorResponse),F.label=9;case 9:return F.trys.push([9,11,,12]),et=ar,[4,Ce(ge.value,ge.meta,Ue.originalArgs)];case 10:return[2,et.apply(void 0,[F.sent(),(kt={baseQueryMeta:ge.meta},kt[en.SHOULD_AUTOBATCH]=!0,kt)])];case 11:return Qe=F.sent(),ge=Qe,[3,12];case 12:throw console.error(ge),ge;case 13:return[2]}})})};function Wt(xe,Je){var Ue,ke,He,ft,Ve=(ke=(Ue=Je[rn])==null?void 0:Ue.queries)==null?void 0:ke[xe.queryCacheKey],we=(He=Je[rn])==null?void 0:He.config.refetchOnMountOrArgChange,ue=Ve==null?void 0:Ve.fulfilledTimeStamp,Ee=(ft=xe.forceRefetch)!=null?ft:xe.subscribe&&we;return!!Ee&&(Ee===!0||(Number(new Date)-Number(ue))/1e3>=Ee)}var xn=(0,en.createAsyncThunk)(rn+"/executeQuery",Nt,{getPendingMeta:function(){var xe;return(xe={startedTimeStamp:Date.now()})[en.SHOULD_AUTOBATCH]=!0,xe},condition:function(xe,Je){var Ue,ke,He,ft=(0,Je.getState)(),Ve=(ke=(Ue=ft[rn])==null?void 0:Ue.queries)==null?void 0:ke[xe.queryCacheKey],we=Ve==null?void 0:Ve.fulfilledTimeStamp,ue=xe.originalArgs,Ee=Ve==null?void 0:Ve.originalArgs,fe=xr[xe.endpointName];return!(!ze(xe)&&((Ve==null?void 0:Ve.status)==="pending"||!Wt(xe,ft)&&(!ne(fe)||!((He=fe==null?void 0:fe.forceRefetch)!=null&&He.call(fe,{currentArg:ue,previousArg:Ee,endpointState:Ve,state:ft})))&&we))},dispatchConditionRejection:!0}),on=(0,en.createAsyncThunk)(rn+"/executeMutation",Nt,{getPendingMeta:function(){var xe;return(xe={startedTimeStamp:Date.now()})[en.SHOULD_AUTOBATCH]=!0,xe}});function mn(xe){return function(Je){var Ue,ke;return((ke=(Ue=Je==null?void 0:Je.meta)==null?void 0:Ue.arg)==null?void 0:ke.endpointName)===xe}}return{queryThunk:xn,mutationThunk:on,prefetch:function(xe,Je,Ue){return function(ke,He){var ft=function(fe){return"force"in fe}(Ue)&&Ue.force,Ve=function(fe){return"ifOlderThan"in fe}(Ue)&&Ue.ifOlderThan,we=function(fe){return fe===void 0&&(fe=!0),Sn.endpoints[xe].initiate(Je,{forceRefetch:fe})},ue=Sn.endpoints[xe].select(Je)(He());if(ft)ke(we());else if(Ve){var Ee=ue==null?void 0:ue.fulfilledTimeStamp;if(!Ee)return void ke(we());(Number(new Date)-Number(new Date(Ee)))/1e3>=Ve&&ke(we())}else ke(we(!1))}},updateQueryData:function(xe,Je,Ue){return function(ke,He){var ft,Ve,we=Sn.endpoints[xe].select(Je)(He()),ue={patches:[],inversePatches:[],undo:function(){return ke(Sn.util.patchQueryData(xe,Je,ue.inversePatches))}};if(we.status===t.uninitialized)return ue;if("data"in we)if((0,Pe.isDraftable)(we.data)){var Ee=(0,Pe.produceWithPatches)(we.data,Ue),fe=Ee[2];(ft=ue.patches).push.apply(ft,Ee[1]),(Ve=ue.inversePatches).push.apply(Ve,fe)}else{var ge=Ue(we.data);ue.patches.push({op:"replace",path:[],value:ge}),ue.inversePatches.push({op:"replace",path:[],value:we.data})}return ke(Sn.util.patchQueryData(xe,Je,ue.patches)),ue}},upsertQueryData:function(xe,Je,Ue){return function(ke){var He;return ke(Sn.endpoints[xe].initiate(Je,((He={subscribe:!1,forceRefetch:!0})[ot]=function(){return{data:Ue}},He)))}},patchQueryData:function(xe,Je,Ue){return function(ke){ke(Sn.internalActions.queryResultPatched({queryCacheKey:bi({queryArgs:Je,endpointDefinition:xr[xe],endpointName:xe}),patches:Ue}))}},buildMatchThunkActions:function(xe,Je){return{matchPending:(0,mt.isAllOf)((0,mt.isPending)(xe),mn(Je)),matchFulfilled:(0,mt.isAllOf)((0,mt.isFulfilled)(xe),mn(Je)),matchRejected:(0,mt.isAllOf)((0,mt.isRejected)(xe),mn(Je))}}}}({baseQuery:de,reducerPath:oe,context:re,api:H,serializeQueryArgs:je}),Se=ie.queryThunk,Ye=ie.mutationThunk,Ze=ie.patchQueryData,ct=ie.updateQueryData,dt=ie.upsertQueryData,_t=ie.prefetch,wt=ie.buildMatchThunkActions,Tt=function(it){var hn=it.reducerPath,rn=it.queryThunk,or=it.mutationThunk,xr=it.context,bi=xr.endpointDefinitions,Sn=xr.apiUid,Nt=xr.extractRehydrationInfo,Wt=xr.hasRehydrationInfo,xn=it.assertTagType,on=it.config,mn=(0,ce.createAction)(hn+"/resetApiState"),xe=(0,ce.createSlice)({name:hn+"/queries",initialState:ei,reducers:{removeQueryResult:{reducer:function(we,ue){delete we[ue.payload.queryCacheKey]},prepare:(0,ce.prepareAutoBatched)()},queryResultPatched:function(we,ue){var Ee=ue.payload,fe=Ee.patches;Fn(we,Ee.queryCacheKey,function(ge){ge.data=(0,tn.applyPatches)(ge.data,fe.concat())})}},extraReducers:function(we){we.addCase(rn.pending,function(ue,Ee){var fe,ge=Ee.meta,Ce=Ee.meta.arg,et=ze(Ce);(Ce.subscribe||et)&&(ue[fe=Ce.queryCacheKey]!=null||(ue[fe]={status:t.uninitialized,endpointName:Ce.endpointName})),Fn(ue,Ce.queryCacheKey,function(Qe){Qe.status=t.pending,Qe.requestId=et&&Qe.requestId?Qe.requestId:ge.requestId,Ce.originalArgs!==void 0&&(Qe.originalArgs=Ce.originalArgs),Qe.startedTimeStamp=ge.startedTimeStamp})}).addCase(rn.fulfilled,function(ue,Ee){var fe=Ee.meta,ge=Ee.payload;Fn(ue,fe.arg.queryCacheKey,function(Ce){var et;if(Ce.requestId===fe.requestId||ze(fe.arg)){var Qe=bi[fe.arg.endpointName].merge;if(Ce.status=t.fulfilled,Qe)if(Ce.data!==void 0){var Ae=fe.fulfilledTimeStamp,kt=fe.arg,Ut=fe.baseQueryMeta,Gt=fe.requestId,ar=(0,ce.createNextState)(Ce.data,function(gr){return Qe(gr,ge,{arg:kt.originalArgs,baseQueryMeta:Ut,fulfilledTimeStamp:Ae,requestId:Gt})});Ce.data=ar}else Ce.data=ge;else Ce.data=(et=bi[fe.arg.endpointName].structuralSharing)==null||et?C((0,An.isDraft)(Ce.data)?(0,tn.original)(Ce.data):Ce.data,ge):ge;delete Ce.error,Ce.fulfilledTimeStamp=fe.fulfilledTimeStamp}})}).addCase(rn.rejected,function(ue,Ee){var fe=Ee.meta,ge=fe.condition,Ce=fe.requestId,et=Ee.error,Qe=Ee.payload;Fn(ue,fe.arg.queryCacheKey,function(Ae){if(!ge){if(Ae.requestId!==Ce)return;Ae.status=t.rejected,Ae.error=Qe??et}})}).addMatcher(Wt,function(ue,Ee){for(var fe=Nt(Ee).queries,ge=0,Ce=Object.entries(fe);ge<Ce.length;ge++){var et=Ce[ge],Qe=et[1];(Qe==null?void 0:Qe.status)!==t.fulfilled&&(Qe==null?void 0:Qe.status)!==t.rejected||(ue[et[0]]=Qe)}})}}),Je=(0,ce.createSlice)({name:hn+"/mutations",initialState:ei,reducers:{removeMutationResult:{reducer:function(we,ue){var Ee=Ir(ue.payload);Ee in we&&delete we[Ee]},prepare:(0,ce.prepareAutoBatched)()}},extraReducers:function(we){we.addCase(or.pending,function(ue,Ee){var fe=Ee.meta,ge=fe.requestId,Ce=fe.arg,et=fe.startedTimeStamp;Ce.track&&(ue[Ir(Ee.meta)]={requestId:ge,status:t.pending,endpointName:Ce.endpointName,startedTimeStamp:et})}).addCase(or.fulfilled,function(ue,Ee){var fe=Ee.payload,ge=Ee.meta;ge.arg.track&&ho(ue,ge,function(Ce){Ce.requestId===ge.requestId&&(Ce.status=t.fulfilled,Ce.data=fe,Ce.fulfilledTimeStamp=ge.fulfilledTimeStamp)})}).addCase(or.rejected,function(ue,Ee){var fe=Ee.payload,ge=Ee.error,Ce=Ee.meta;Ce.arg.track&&ho(ue,Ce,function(et){et.requestId===Ce.requestId&&(et.status=t.rejected,et.error=fe??ge)})}).addMatcher(Wt,function(ue,Ee){for(var fe=Nt(Ee).mutations,ge=0,Ce=Object.entries(fe);ge<Ce.length;ge++){var et=Ce[ge],Qe=et[0],Ae=et[1];(Ae==null?void 0:Ae.status)!==t.fulfilled&&(Ae==null?void 0:Ae.status)!==t.rejected||Qe===(Ae==null?void 0:Ae.requestId)||(ue[Qe]=Ae)}})}}),Ue=(0,ce.createSlice)({name:hn+"/invalidation",initialState:ei,reducers:{},extraReducers:function(we){we.addCase(xe.actions.removeQueryResult,function(ue,Ee){for(var fe=Ee.payload.queryCacheKey,ge=0,Ce=Object.values(ue);ge<Ce.length;ge++)for(var et=0,Qe=Object.values(Ce[ge]);et<Qe.length;et++){var Ae=Qe[et],kt=Ae.indexOf(fe);kt!==-1&&Ae.splice(kt,1)}}).addMatcher(Wt,function(ue,Ee){for(var fe,ge,Ce,et,Qe=Nt(Ee).provided,Ae=0,kt=Object.entries(Qe);Ae<kt.length;Ae++)for(var Ut=kt[Ae],Gt=Ut[0],ar=0,gr=Object.entries(Ut[1]);ar<gr.length;ar++)for(var jn=gr[ar],Pn=jn[0],Xi=jn[1],F=(et=(ge=(fe=ue[Gt])!=null?fe:ue[Gt]={})[Ce=Pn||"__internal_without_id"])!=null?et:ge[Ce]=[],V=0,X=Xi;V<X.length;V++){var pe=X[V];F.includes(pe)||F.push(pe)}}).addMatcher((0,ce.isAnyOf)((0,ce.isFulfilled)(rn),(0,ce.isRejectedWithValue)(rn)),function(ue,Ee){for(var fe,ge,Ce,et,Qe=Ln(Ee,"providesTags",bi,xn),Ae=Ee.meta.arg.queryCacheKey,kt=0,Ut=Object.values(ue);kt<Ut.length;kt++)for(var Gt=0,ar=Object.values(Ut[kt]);Gt<ar.length;Gt++){var gr=ar[Gt],jn=gr.indexOf(Ae);jn!==-1&&gr.splice(jn,1)}for(var Pn=0,Xi=Qe;Pn<Xi.length;Pn++){var F=Xi[Pn],V=F.type,X=F.id,pe=(et=(ge=(fe=ue[V])!=null?fe:ue[V]={})[Ce=X||"__internal_without_id"])!=null?et:ge[Ce]=[];pe.includes(Ae)||pe.push(Ae)}})}}),ke=(0,ce.createSlice)({name:hn+"/subscriptions",initialState:ei,reducers:{updateSubscriptionOptions:function(we,ue){},unsubscribeQueryResult:function(we,ue){},internal_probeSubscription:function(we,ue){}}}),He=(0,ce.createSlice)({name:hn+"/internalSubscriptions",initialState:ei,reducers:{subscriptionsUpdated:{reducer:function(we,ue){return(0,tn.applyPatches)(we,ue.payload)},prepare:(0,ce.prepareAutoBatched)()}}}),ft=(0,ce.createSlice)({name:hn+"/config",initialState:_({online:typeof navigator>"u"||navigator.onLine===void 0||navigator.onLine,focused:typeof document>"u"||document.visibilityState!=="hidden",middlewareRegistered:!1},on),reducers:{middlewareRegistered:function(we,ue){we.middlewareRegistered=we.middlewareRegistered!=="conflict"&&Sn===ue.payload||"conflict"}},extraReducers:function(we){we.addCase(U,function(ue){ue.online=!0}).addCase(G,function(ue){ue.online=!1}).addCase(N,function(ue){ue.focused=!0}).addCase(B,function(ue){ue.focused=!1}).addMatcher(Wt,function(ue){return _({},ue)})}}),Ve=(0,ce.combineReducers)({queries:xe.reducer,mutations:Je.reducer,provided:Ue.reducer,subscriptions:He.reducer,config:ft.reducer});return{reducer:function(we,ue){return Ve(mn.match(ue)?void 0:we,ue)},actions:b(_(_(_(_(_({},ft.actions),xe.actions),ke.actions),He.actions),Je.actions),{unsubscribeMutationResult:Je.actions.removeMutationResult,resetApiState:mn})}}({context:re,queryThunk:Se,mutationThunk:Ye,reducerPath:oe,assertTagType:Ie,config:{refetchOnFocus:$e,refetchOnReconnect:qe,refetchOnMountOrArgChange:ut,keepUnusedDataFor:Ge,reducerPath:oe}}),dn=Tt.reducer,fn=Tt.actions;yi(H.util,{patchQueryData:Ze,updateQueryData:ct,upsertQueryData:dt,prefetch:_t,resetApiState:fn.resetApiState}),yi(H.internalActions,fn);var $i=function(it){var hn=it.reducerPath,rn=it.queryThunk,or=it.api,xr=it.context,bi=xr.apiUid,Sn={invalidateTags:(0,sl.createAction)(hn+"/invalidateTags")},Nt=[jr,zn,zr,Or,Ni,mi];return{middleware:function(xn){var on=!1,mn=b(_({},it),{internalState:{currentSubscriptions:{}},refetchQuery:Wt}),xe=Nt.map(function(ke){return ke(mn)}),Je=function(ke){var 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tf=Pn.meta;if(Yn=tf.requestId,(rf=tf.arg).subscribe)return(su=(V=jn[F=rf.queryCacheKey])!=null?V:jn[F]={})[Yn]=(pe=(X=rf.subscriptionOptions)!=null?X:su[Yn])!=null?pe:{},!0}if(ft.rejected.match(Pn)){var su,nf=Pn.meta,rf=nf.arg;if(Yn=nf.requestId,nf.condition&&rf.subscribe)return(su=(pn=jn[Ct=rf.queryCacheKey])!=null?pn:jn[Ct]={})[Yn]=(It=(In=rf.subscriptionOptions)!=null?In:su[Yn])!=null?It:{},!0}return!1}(Ve.currentSubscriptions,et);if(Gt){Ee||(gs(function(){var jn=JSON.parse(JSON.stringify(Ve.currentSubscriptions)),Pn=(0,La.produceWithPatches)(ue,function(){return jn});Qe.next(He.internalActions.subscriptionsUpdated(Pn[1])),ue=jn,Ee=!1}),Ee=!0);var ar=!!((kt=et.type)!=null&&kt.startsWith(we)),gr=ft.rejected.match(et)&&et.meta.condition&&!!et.meta.arg.subscribe;return[!ar&&!gr,!1]}return[!0,!1]}}(mn),Ue=function(ke){var He=ke.reducerPath,ft=ke.context,Ve=ke.refetchQuery,we=ke.internalState,ue=ke.api.internalActions.removeQueryResult;function Ee(fe,ge){var 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0?n.returnDetails:this.options.returnDetails,o=n.keySeparator!==void 0?n.keySeparator:this.options.keySeparator,{key:a,namespaces:s}=this.extractFromKey(t[t.length-1],n),l=s[s.length-1],u=n.lng||this.language,c=n.appendNamespaceToCIMode||this.options.appendNamespaceToCIMode;if(u&&u.toLowerCase()==="cimode"){if(c){const v=n.nsSeparator||this.options.nsSeparator;return i?{res:`${l}${v}${a}`,usedKey:a,exactUsedKey:a,usedLng:u,usedNS:l}:`${l}${v}${a}`}return i?{res:a,usedKey:a,exactUsedKey:a,usedLng:u,usedNS:l}:a}const d=this.resolve(t,n);let f=d&&d.res;const h=d&&d.usedKey||a,p=d&&d.exactUsedKey||a,m=Object.prototype.toString.apply(f),_=["[object Number]","[object Function]","[object RegExp]"],b=n.joinArrays!==void 0?n.joinArrays:this.options.joinArrays,y=!this.i18nFormat||this.i18nFormat.handleAsObject;if(y&&f&&(typeof f!="string"&&typeof f!="boolean"&&typeof f!="number")&&_.indexOf(m)<0&&!(typeof b=="string"&&m==="[object Array]")){if(!n.returnObjects&&!this.options.returnObjects){this.options.returnedObjectHandler||this.logger.warn("accessing an object - but returnObjects options is not enabled!");const v=this.options.returnedObjectHandler?this.options.returnedObjectHandler(h,f,{...n,ns:s}):`key '${a} (${this.language})' returned an object instead of string.`;return i?(d.res=v,d):v}if(o){const v=m==="[object Array]",S=v?[]:{},w=v?p:h;for(const x in f)if(Object.prototype.hasOwnProperty.call(f,x)){const C=`${w}${o}${x}`;S[x]=this.translate(C,{...n,joinArrays:!1,ns:s}),S[x]===C&&(S[x]=f[x])}f=S}}else if(y&&typeof b=="string"&&m==="[object Array]")f=f.join(b),f&&(f=this.extendTranslation(f,t,n,r));else{let v=!1,S=!1;const w=n.count!==void 0&&typeof n.count!="string",x=a_.hasDefaultValue(n),C=w?this.pluralResolver.getSuffix(u,n.count,n):"",k=n.ordinal&&w?this.pluralResolver.getSuffix(u,n.count,{ordinal:!1}):"",T=n[`defaultValue${C}`]||n[`defaultValue${k}`]||n.defaultValue;!this.isValidLookup(f)&&x&&(v=!0,f=T),this.isValidLookup(f)||(S=!0,f=a);const $=(n.missingKeyNoValueFallbackToKey||this.options.missingKeyNoValueFallbackToKey)&&S?void 0:f,O=x&&T!==f&&this.options.updateMissing;if(S||v||O){if(this.logger.log(O?"updateKey":"missingKey",u,l,a,O?T:f),o){const L=this.resolve(a,{...n,keySeparator:!1});L&&L.res&&this.logger.warn("Seems the loaded translations were in flat JSON format instead of nested. Either set keySeparator: false on init or make sure your translations are published in nested format.")}let E=[];const A=this.languageUtils.getFallbackCodes(this.options.fallbackLng,n.lng||this.language);if(this.options.saveMissingTo==="fallback"&&A&&A[0])for(let L=0;L<A.length;L++)E.push(A[L]);else this.options.saveMissingTo==="all"?E=this.languageUtils.toResolveHierarchy(n.lng||this.language):E.push(n.lng||this.language);const D=(L,M,R)=>{const N=x&&R!==f?R:$;this.options.missingKeyHandler?this.options.missingKeyHandler(L,l,M,N,O,n):this.backendConnector&&this.backendConnector.saveMissing&&this.backendConnector.saveMissing(L,l,M,N,O,n),this.emit("missingKey",L,l,M,f)};this.options.saveMissing&&(this.options.saveMissingPlurals&&w?E.forEach(L=>{this.pluralResolver.getSuffixes(L,n).forEach(M=>{D([L],a+M,n[`defaultValue${M}`]||T)})}):D(E,a,T))}f=this.extendTranslation(f,t,n,d,r),S&&f===a&&this.options.appendNamespaceToMissingKey&&(f=`${l}:${a}`),(S||v)&&this.options.parseMissingKeyHandler&&(this.options.compatibilityAPI!=="v1"?f=this.options.parseMissingKeyHandler(this.options.appendNamespaceToMissingKey?`${l}:${a}`:a,v?f:void 0):f=this.options.parseMissingKeyHandler(f))}return i?(d.res=f,d):f}extendTranslation(t,n,r,i,o){var a=this;if(this.i18nFormat&&this.i18nFormat.parse)t=this.i18nFormat.parse(t,{...this.options.interpolation.defaultVariables,...r},i.usedLng,i.usedNS,i.usedKey,{resolved:i});else if(!r.skipInterpolation){r.interpolation&&this.interpolator.init({...r,interpolation:{...this.options.interpolation,...r.interpolation}});const u=typeof t=="string"&&(r&&r.interpolation&&r.interpolation.skipOnVariables!==void 0?r.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables);let c;if(u){const f=t.match(this.interpolator.nestingRegexp);c=f&&f.length}let d=r.replace&&typeof r.replace!="string"?r.replace:r;if(this.options.interpolation.defaultVariables&&(d={...this.options.interpolation.defaultVariables,...d}),t=this.interpolator.interpolate(t,d,r.lng||this.language,r),u){const f=t.match(this.interpolator.nestingRegexp),h=f&&f.length;c<h&&(r.nest=!1)}!r.lng&&this.options.compatibilityAPI!=="v1"&&i&&i.res&&(r.lng=i.usedLng),r.nest!==!1&&(t=this.interpolator.nest(t,function(){for(var f=arguments.length,h=new Array(f),p=0;p<f;p++)h[p]=arguments[p];return o&&o[0]===h[0]&&!r.context?(a.logger.warn(`It seems you are nesting recursively key: ${h[0]} in key: ${n[0]}`),null):a.translate(...h,n)},r)),r.interpolation&&this.interpolator.reset()}const s=r.postProcess||this.options.postProcess,l=typeof s=="string"?[s]:s;return t!=null&&l&&l.length&&r.applyPostProcessor!==!1&&(t=$B.handle(l,t,n,this.options&&this.options.postProcessPassResolved?{i18nResolved:i,...r}:r,this)),t}resolve(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},r,i,o,a,s;return typeof t=="string"&&(t=[t]),t.forEach(l=>{if(this.isValidLookup(r))return;const u=this.extractFromKey(l,n),c=u.key;i=c;let d=u.namespaces;this.options.fallbackNS&&(d=d.concat(this.options.fallbackNS));const f=n.count!==void 0&&typeof n.count!="string",h=f&&!n.ordinal&&n.count===0&&this.pluralResolver.shouldUseIntlApi(),p=n.context!==void 0&&(typeof n.context=="string"||typeof n.context=="number")&&n.context!=="",m=n.lngs?n.lngs:this.languageUtils.toResolveHierarchy(n.lng||this.language,n.fallbackLng);d.forEach(_=>{this.isValidLookup(r)||(s=_,!sI[`${m[0]}-${_}`]&&this.utils&&this.utils.hasLoadedNamespace&&!this.utils.hasLoadedNamespace(s)&&(sI[`${m[0]}-${_}`]=!0,this.logger.warn(`key "${i}" for languages "${m.join(", ")}" won't get resolved as namespace "${s}" was not yet loaded`,"This means something IS WRONG in your setup. You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!")),m.forEach(b=>{if(this.isValidLookup(r))return;a=b;const y=[c];if(this.i18nFormat&&this.i18nFormat.addLookupKeys)this.i18nFormat.addLookupKeys(y,c,b,_,n);else{let v;f&&(v=this.pluralResolver.getSuffix(b,n.count,n));const S=`${this.options.pluralSeparator}zero`,w=`${this.options.pluralSeparator}ordinal${this.options.pluralSeparator}`;if(f&&(y.push(c+v),n.ordinal&&v.indexOf(w)===0&&y.push(c+v.replace(w,this.options.pluralSeparator)),h&&y.push(c+S)),p){const x=`${c}${this.options.contextSeparator}${n.context}`;y.push(x),f&&(y.push(x+v),n.ordinal&&v.indexOf(w)===0&&y.push(x+v.replace(w,this.options.pluralSeparator)),h&&y.push(x+S))}}let g;for(;g=y.pop();)this.isValidLookup(r)||(o=g,r=this.getResource(b,_,g,n))}))})}),{res:r,usedKey:i,exactUsedKey:o,usedLng:a,usedNS:s}}isValidLookup(t){return t!==void 0&&!(!this.options.returnNull&&t===null)&&!(!this.options.returnEmptyString&&t==="")}getResource(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return this.i18nFormat&&this.i18nFormat.getResource?this.i18nFormat.getResource(t,n,r,i):this.resourceStore.getResource(t,n,r,i)}static hasDefaultValue(t){const n="defaultValue";for(const r in t)if(Object.prototype.hasOwnProperty.call(t,r)&&n===r.substring(0,n.length)&&t[r]!==void 0)return!0;return!1}}function aC(e){return e.charAt(0).toUpperCase()+e.slice(1)}class lI{constructor(t){this.options=t,this.supportedLngs=this.options.supportedLngs||!1,this.logger=$s.create("languageUtils")}getScriptPartFromCode(t){if(t=o_(t),!t||t.indexOf("-")<0)return null;const n=t.split("-");return n.length===2||(n.pop(),n[n.length-1].toLowerCase()==="x")?null:this.formatLanguageCode(n.join("-"))}getLanguagePartFromCode(t){if(t=o_(t),!t||t.indexOf("-")<0)return t;const n=t.split("-");return this.formatLanguageCode(n[0])}formatLanguageCode(t){if(typeof t=="string"&&t.indexOf("-")>-1){const n=["hans","hant","latn","cyrl","cans","mong","arab"];let r=t.split("-");return this.options.lowerCaseLng?r=r.map(i=>i.toLowerCase()):r.length===2?(r[0]=r[0].toLowerCase(),r[1]=r[1].toUpperCase(),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=aC(r[1].toLowerCase()))):r.length===3&&(r[0]=r[0].toLowerCase(),r[1].length===2&&(r[1]=r[1].toUpperCase()),r[0]!=="sgn"&&r[2].length===2&&(r[2]=r[2].toUpperCase()),n.indexOf(r[1].toLowerCase())>-1&&(r[1]=aC(r[1].toLowerCase())),n.indexOf(r[2].toLowerCase())>-1&&(r[2]=aC(r[2].toLowerCase()))),r.join("-")}return this.options.cleanCode||this.options.lowerCaseLng?t.toLowerCase():t}isSupportedCode(t){return(this.options.load==="languageOnly"||this.options.nonExplicitSupportedLngs)&&(t=this.getLanguagePartFromCode(t)),!this.supportedLngs||!this.supportedLngs.length||this.supportedLngs.indexOf(t)>-1}getBestMatchFromCodes(t){if(!t)return null;let n;return t.forEach(r=>{if(n)return;const i=this.formatLanguageCode(r);(!this.options.supportedLngs||this.isSupportedCode(i))&&(n=i)}),!n&&this.options.supportedLngs&&t.forEach(r=>{if(n)return;const i=this.getLanguagePartFromCode(r);if(this.isSupportedCode(i))return n=i;n=this.options.supportedLngs.find(o=>{if(o===i)return o;if(!(o.indexOf("-")<0&&i.indexOf("-")<0)&&o.indexOf(i)===0)return o})}),n||(n=this.getFallbackCodes(this.options.fallbackLng)[0]),n}getFallbackCodes(t,n){if(!t)return[];if(typeof t=="function"&&(t=t(n)),typeof t=="string"&&(t=[t]),Object.prototype.toString.apply(t)==="[object Array]")return t;if(!n)return t.default||[];let r=t[n];return r||(r=t[this.getScriptPartFromCode(n)]),r||(r=t[this.formatLanguageCode(n)]),r||(r=t[this.getLanguagePartFromCode(n)]),r||(r=t.default),r||[]}toResolveHierarchy(t,n){const r=this.getFallbackCodes(n||this.options.fallbackLng||[],t),i=[],o=a=>{a&&(this.isSupportedCode(a)?i.push(a):this.logger.warn(`rejecting language code not found in supportedLngs: ${a}`))};return typeof t=="string"&&(t.indexOf("-")>-1||t.indexOf("_")>-1)?(this.options.load!=="languageOnly"&&o(this.formatLanguageCode(t)),this.options.load!=="languageOnly"&&this.options.load!=="currentOnly"&&o(this.getScriptPartFromCode(t)),this.options.load!=="currentOnly"&&o(this.getLanguagePartFromCode(t))):typeof t=="string"&&o(this.formatLanguageCode(t)),r.forEach(a=>{i.indexOf(a)<0&&o(this.formatLanguageCode(a))}),i}}let Nle=[{lngs:["ach","ak","am","arn","br","fil","gun","ln","mfe","mg","mi","oc","pt","pt-BR","tg","tl","ti","tr","uz","wa"],nr:[1,2],fc:1},{lngs:["af","an","ast","az","bg","bn","ca","da","de","dev","el","en","eo","es","et","eu","fi","fo","fur","fy","gl","gu","ha","hi","hu","hy","ia","it","kk","kn","ku","lb","mai","ml","mn","mr","nah","nap","nb","ne","nl","nn","no","nso","pa","pap","pms","ps","pt-PT","rm","sco","se","si","so","son","sq","sv","sw","ta","te","tk","ur","yo"],nr:[1,2],fc:2},{lngs:["ay","bo","cgg","fa","ht","id","ja","jbo","ka","km","ko","ky","lo","ms","sah","su","th","tt","ug","vi","wo","zh"],nr:[1],fc:3},{lngs:["be","bs","cnr","dz","hr","ru","sr","uk"],nr:[1,2,5],fc:4},{lngs:["ar"],nr:[0,1,2,3,11,100],fc:5},{lngs:["cs","sk"],nr:[1,2,5],fc:6},{lngs:["csb","pl"],nr:[1,2,5],fc:7},{lngs:["cy"],nr:[1,2,3,8],fc:8},{lngs:["fr"],nr:[1,2],fc:9},{lngs:["ga"],nr:[1,2,3,7,11],fc:10},{lngs:["gd"],nr:[1,2,3,20],fc:11},{lngs:["is"],nr:[1,2],fc:12},{lngs:["jv"],nr:[0,1],fc:13},{lngs:["kw"],nr:[1,2,3,4],fc:14},{lngs:["lt"],nr:[1,2,10],fc:15},{lngs:["lv"],nr:[1,2,0],fc:16},{lngs:["mk"],nr:[1,2],fc:17},{lngs:["mnk"],nr:[0,1,2],fc:18},{lngs:["mt"],nr:[1,2,11,20],fc:19},{lngs:["or"],nr:[2,1],fc:2},{lngs:["ro"],nr:[1,2,20],fc:20},{lngs:["sl"],nr:[5,1,2,3],fc:21},{lngs:["he","iw"],nr:[1,2,20,21],fc:22}],$le={1:function(e){return+(e>1)},2:function(e){return+(e!=1)},3:function(e){return 0},4:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},5:function(e){return e==0?0:e==1?1:e==2?2:e%100>=3&&e%100<=10?3:e%100>=11?4:5},6:function(e){return e==1?0:e>=2&&e<=4?1:2},7:function(e){return e==1?0:e%10>=2&&e%10<=4&&(e%100<10||e%100>=20)?1:2},8:function(e){return e==1?0:e==2?1:e!=8&&e!=11?2:3},9:function(e){return+(e>=2)},10:function(e){return e==1?0:e==2?1:e<7?2:e<11?3:4},11:function(e){return e==1||e==11?0:e==2||e==12?1:e>2&&e<20?2:3},12:function(e){return+(e%10!=1||e%100==11)},13:function(e){return+(e!==0)},14:function(e){return e==1?0:e==2?1:e==3?2:3},15:function(e){return e%10==1&&e%100!=11?0:e%10>=2&&(e%100<10||e%100>=20)?1:2},16:function(e){return e%10==1&&e%100!=11?0:e!==0?1:2},17:function(e){return e==1||e%10==1&&e%100!=11?0:1},18:function(e){return e==0?0:e==1?1:2},19:function(e){return e==1?0:e==0||e%100>1&&e%100<11?1:e%100>10&&e%100<20?2:3},20:function(e){return e==1?0:e==0||e%100>0&&e%100<20?1:2},21:function(e){return e%100==1?1:e%100==2?2:e%100==3||e%100==4?3:0},22:function(e){return e==1?0:e==2?1:(e<0||e>10)&&e%10==0?2:3}};const Dle=["v1","v2","v3"],Lle=["v4"],uI={zero:0,one:1,two:2,few:3,many:4,other:5};function Fle(){const e={};return Nle.forEach(t=>{t.lngs.forEach(n=>{e[n]={numbers:t.nr,plurals:$le[t.fc]}})}),e}class Ble{constructor(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};this.languageUtils=t,this.options=n,this.logger=$s.create("pluralResolver"),(!this.options.compatibilityJSON||Lle.includes(this.options.compatibilityJSON))&&(typeof Intl>"u"||!Intl.PluralRules)&&(this.options.compatibilityJSON="v3",this.logger.error("Your environment seems not to be Intl API compatible, use an Intl.PluralRules polyfill. Will fallback to the compatibilityJSON v3 format handling.")),this.rules=Fle()}addRule(t,n){this.rules[t]=n}getRule(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};if(this.shouldUseIntlApi())try{return new Intl.PluralRules(o_(t),{type:n.ordinal?"ordinal":"cardinal"})}catch{return}return this.rules[t]||this.rules[this.languageUtils.getLanguagePartFromCode(t)]}needsPlural(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return this.shouldUseIntlApi()?r&&r.resolvedOptions().pluralCategories.length>1:r&&r.numbers.length>1}getPluralFormsOfKey(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};return this.getSuffixes(t,r).map(i=>`${n}${i}`)}getSuffixes(t){let n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{};const r=this.getRule(t,n);return r?this.shouldUseIntlApi()?r.resolvedOptions().pluralCategories.sort((i,o)=>uI[i]-uI[o]).map(i=>`${this.options.prepend}${n.ordinal?`ordinal${this.options.prepend}`:""}${i}`):r.numbers.map(i=>this.getSuffix(t,i,n)):[]}getSuffix(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{};const i=this.getRule(t,r);return i?this.shouldUseIntlApi()?`${this.options.prepend}${r.ordinal?`ordinal${this.options.prepend}`:""}${i.select(n)}`:this.getSuffixRetroCompatible(i,n):(this.logger.warn(`no plural rule found for: ${t}`),"")}getSuffixRetroCompatible(t,n){const r=t.noAbs?t.plurals(n):t.plurals(Math.abs(n));let i=t.numbers[r];this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1&&(i===2?i="plural":i===1&&(i=""));const o=()=>this.options.prepend&&i.toString()?this.options.prepend+i.toString():i.toString();return this.options.compatibilityJSON==="v1"?i===1?"":typeof i=="number"?`_plural_${i.toString()}`:o():this.options.compatibilityJSON==="v2"||this.options.simplifyPluralSuffix&&t.numbers.length===2&&t.numbers[0]===1?o():this.options.prepend&&r.toString()?this.options.prepend+r.toString():r.toString()}shouldUseIntlApi(){return!Dle.includes(this.options.compatibilityJSON)}}function cI(e,t,n){let r=arguments.length>3&&arguments[3]!==void 0?arguments[3]:".",i=arguments.length>4&&arguments[4]!==void 0?arguments[4]:!0,o=Ple(e,t,n);return!o&&i&&typeof n=="string"&&(o=i_(e,n,r),o===void 0&&(o=i_(t,n,r))),o}class zle{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=$s.create("interpolator"),this.options=t,this.format=t.interpolation&&t.interpolation.format||(n=>n),this.init(t)}init(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};t.interpolation||(t.interpolation={escapeValue:!0});const n=t.interpolation;this.escape=n.escape!==void 0?n.escape:Rle,this.escapeValue=n.escapeValue!==void 0?n.escapeValue:!0,this.useRawValueToEscape=n.useRawValueToEscape!==void 0?n.useRawValueToEscape:!1,this.prefix=n.prefix?sf(n.prefix):n.prefixEscaped||"{{",this.suffix=n.suffix?sf(n.suffix):n.suffixEscaped||"}}",this.formatSeparator=n.formatSeparator?n.formatSeparator:n.formatSeparator||",",this.unescapePrefix=n.unescapeSuffix?"":n.unescapePrefix||"-",this.unescapeSuffix=this.unescapePrefix?"":n.unescapeSuffix||"",this.nestingPrefix=n.nestingPrefix?sf(n.nestingPrefix):n.nestingPrefixEscaped||sf("$t("),this.nestingSuffix=n.nestingSuffix?sf(n.nestingSuffix):n.nestingSuffixEscaped||sf(")"),this.nestingOptionsSeparator=n.nestingOptionsSeparator?n.nestingOptionsSeparator:n.nestingOptionsSeparator||",",this.maxReplaces=n.maxReplaces?n.maxReplaces:1e3,this.alwaysFormat=n.alwaysFormat!==void 0?n.alwaysFormat:!1,this.resetRegExp()}reset(){this.options&&this.init(this.options)}resetRegExp(){const t=`${this.prefix}(.+?)${this.suffix}`;this.regexp=new RegExp(t,"g");const 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0?i.interpolation.skipOnVariables:this.options.interpolation.skipOnVariables;return[{regex:this.regexpUnescape,safeValue:p=>u(p)},{regex:this.regexp,safeValue:p=>this.escapeValue?u(this.escape(p)):u(p)}].forEach(p=>{for(s=0;o=p.regex.exec(t);){const m=o[1].trim();if(a=c(m),a===void 0)if(typeof d=="function"){const b=d(t,o,i);a=typeof b=="string"?b:""}else if(i&&Object.prototype.hasOwnProperty.call(i,m))a="";else if(f){a=o[0];continue}else this.logger.warn(`missed to pass in variable ${m} for interpolating ${t}`),a="";else typeof a!="string"&&!this.useRawValueToEscape&&(a=iI(a));const _=p.safeValue(a);if(t=t.replace(o[0],_),f?(p.regex.lastIndex+=a.length,p.regex.lastIndex-=o[0].length):p.regex.lastIndex=0,s++,s>=this.maxReplaces)break}}),t}nest(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i,o,a;function s(l,u){const c=this.nestingOptionsSeparator;if(l.indexOf(c)<0)return l;const d=l.split(new RegExp(`${c}[ ]*{`));let f=`{${d[1]}`;l=d[0],f=this.interpolate(f,a);const h=f.match(/'/g),p=f.match(/"/g);(h&&h.length%2===0&&!p||p.length%2!==0)&&(f=f.replace(/'/g,'"'));try{a=JSON.parse(f),u&&(a={...u,...a})}catch(m){return this.logger.warn(`failed parsing options string in nesting for key ${l}`,m),`${l}${c}${f}`}return delete a.defaultValue,l}for(;i=this.nestingRegexp.exec(t);){let l=[];a={...r},a=a.replace&&typeof a.replace!="string"?a.replace:a,a.applyPostProcessor=!1,delete a.defaultValue;let u=!1;if(i[0].indexOf(this.formatSeparator)!==-1&&!/{.*}/.test(i[1])){const c=i[1].split(this.formatSeparator).map(d=>d.trim());i[1]=c.shift(),l=c,u=!0}if(o=n(s.call(this,i[1].trim(),a),a),o&&i[0]===t&&typeof o!="string")return o;typeof o!="string"&&(o=iI(o)),o||(this.logger.warn(`missed to resolve ${i[1]} for nesting ${t}`),o=""),u&&(o=l.reduce((c,d)=>this.format(c,d,r.lng,{...r,interpolationkey:i[1].trim()}),o.trim())),t=t.replace(i[0],o),this.regexp.lastIndex=0}return t}}function jle(e){let t=e.toLowerCase().trim();const n={};if(e.indexOf("(")>-1){const r=e.split("(");t=r[0].toLowerCase().trim();const i=r[1].substring(0,r[1].length-1);t==="currency"&&i.indexOf(":")<0?n.currency||(n.currency=i.trim()):t==="relativetime"&&i.indexOf(":")<0?n.range||(n.range=i.trim()):i.split(";").forEach(a=>{if(!a)return;const[s,...l]=a.split(":"),u=l.join(":").trim().replace(/^'+|'+$/g,"");n[s.trim()]||(n[s.trim()]=u),u==="false"&&(n[s.trim()]=!1),u==="true"&&(n[s.trim()]=!0),isNaN(u)||(n[s.trim()]=parseInt(u,10))})}return{formatName:t,formatOptions:n}}function lf(e){const t={};return function(r,i,o){const a=i+JSON.stringify(o);let s=t[a];return s||(s=e(o_(i),o),t[a]=s),s(r)}}class Ule{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};this.logger=$s.create("formatter"),this.options=t,this.formats={number:lf((n,r)=>{const i=new Intl.NumberFormat(n,{...r});return o=>i.format(o)}),currency:lf((n,r)=>{const i=new Intl.NumberFormat(n,{...r,style:"currency"});return o=>i.format(o)}),datetime:lf((n,r)=>{const i=new Intl.DateTimeFormat(n,{...r});return o=>i.format(o)}),relativetime:lf((n,r)=>{const i=new Intl.RelativeTimeFormat(n,{...r});return o=>i.format(o,r.range||"day")}),list:lf((n,r)=>{const i=new Intl.ListFormat(n,{...r});return o=>i.format(o)})},this.init(t)}init(t){const r=(arguments.length>1&&arguments[1]!==void 0?arguments[1]:{interpolation:{}}).interpolation;this.formatSeparator=r.formatSeparator?r.formatSeparator:r.formatSeparator||","}add(t,n){this.formats[t.toLowerCase().trim()]=n}addCached(t,n){this.formats[t.toLowerCase().trim()]=lf(n)}format(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};return n.split(this.formatSeparator).reduce((s,l)=>{const{formatName:u,formatOptions:c}=jle(l);if(this.formats[u]){let d=s;try{const f=i&&i.formatParams&&i.formatParams[i.interpolationkey]||{},h=f.locale||f.lng||i.locale||i.lng||r;d=this.formats[u](s,h,{...c,...i,...f})}catch(f){this.logger.warn(f)}return d}else this.logger.warn(`there was no format function for ${u}`);return s},t)}}function Vle(e,t){e.pending[t]!==void 0&&(delete e.pending[t],e.pendingCount--)}class Gle extends JS{constructor(t,n,r){let i=arguments.length>3&&arguments[3]!==void 0?arguments[3]:{};super(),this.backend=t,this.store=n,this.services=r,this.languageUtils=r.languageUtils,this.options=i,this.logger=$s.create("backendConnector"),this.waitingReads=[],this.maxParallelReads=i.maxParallelReads||10,this.readingCalls=0,this.maxRetries=i.maxRetries>=0?i.maxRetries:5,this.retryTimeout=i.retryTimeout>=1?i.retryTimeout:350,this.state={},this.queue=[],this.backend&&this.backend.init&&this.backend.init(r,i.backend,i)}queueLoad(t,n,r,i){const o={},a={},s={},l={};return t.forEach(u=>{let c=!0;n.forEach(d=>{const f=`${u}|${d}`;!r.reload&&this.store.hasResourceBundle(u,d)?this.state[f]=2:this.state[f]<0||(this.state[f]===1?a[f]===void 0&&(a[f]=!0):(this.state[f]=1,c=!1,a[f]===void 0&&(a[f]=!0),o[f]===void 0&&(o[f]=!0),l[d]===void 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0;if(!t.length)return a(null,{});if(this.readingCalls>=this.maxParallelReads){this.waitingReads.push({lng:t,ns:n,fcName:r,tried:i,wait:o,callback:a});return}this.readingCalls++;const s=(u,c)=>{if(this.readingCalls--,this.waitingReads.length>0){const d=this.waitingReads.shift();this.read(d.lng,d.ns,d.fcName,d.tried,d.wait,d.callback)}if(u&&c&&i<this.maxRetries){setTimeout(()=>{this.read.call(this,t,n,r,i+1,o*2,a)},o);return}a(u,c)},l=this.backend[r].bind(this.backend);if(l.length===2){try{const u=l(t,n);u&&typeof u.then=="function"?u.then(c=>s(null,c)).catch(s):s(null,u)}catch(u){s(u)}return}return l(t,n,s)}prepareLoading(t,n){let r=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},i=arguments.length>3?arguments[3]:void 0;if(!this.backend)return this.logger.warn("No backend was added via i18next.use. 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You access the t function before i18next.init / i18next.loadNamespace / i18next.changeLanguage was done. Wait for the callback or Promise to resolve before accessing it!!!");return}if(!(r==null||r==="")){if(this.backend&&this.backend.create){const l={...a,isUpdate:o},u=this.backend.create.bind(this.backend);if(u.length<6)try{let c;u.length===5?c=u(t,n,r,i,l):c=u(t,n,r,i),c&&typeof c.then=="function"?c.then(d=>s(null,d)).catch(s):s(null,c)}catch(c){s(c)}else u(t,n,r,i,s,l)}!t||!t[0]||this.store.addResource(t[0],n,r,i)}}}function dI(){return{debug:!1,initImmediate:!0,ns:["translation"],defaultNS:["translation"],fallbackLng:["dev"],fallbackNS:!1,supportedLngs:!1,nonExplicitSupportedLngs:!1,load:"all",preload:!1,simplifyPluralSuffix:!0,keySeparator:".",nsSeparator:":",pluralSeparator:"_",contextSeparator:"_",partialBundledLanguages:!1,saveMissing:!1,updateMissing:!1,saveMissingTo:"fallback",saveMissingPlurals:!0,missingKeyHandler:!1,missingInterpolationHandler:!1,postProcess:!1,postProcessPassResolved:!1,returnNull:!1,returnEmptyString:!0,returnObjects:!1,joinArrays:!1,returnedObjectHandler:!1,parseMissingKeyHandler:!1,appendNamespaceToMissingKey:!1,appendNamespaceToCIMode:!1,overloadTranslationOptionHandler:function(t){let n={};if(typeof t[1]=="object"&&(n=t[1]),typeof t[1]=="string"&&(n.defaultValue=t[1]),typeof t[2]=="string"&&(n.tDescription=t[2]),typeof t[2]=="object"||typeof t[3]=="object"){const r=t[3]||t[2];Object.keys(r).forEach(i=>{n[i]=r[i]})}return n},interpolation:{escapeValue:!0,format:(e,t,n,r)=>e,prefix:"{{",suffix:"}}",formatSeparator:",",unescapePrefix:"-",nestingPrefix:"$t(",nestingSuffix:")",nestingOptionsSeparator:",",maxReplaces:1e3,skipOnVariables:!0}}}function fI(e){return typeof e.ns=="string"&&(e.ns=[e.ns]),typeof e.fallbackLng=="string"&&(e.fallbackLng=[e.fallbackLng]),typeof e.fallbackNS=="string"&&(e.fallbackNS=[e.fallbackNS]),e.supportedLngs&&e.supportedLngs.indexOf("cimode")<0&&(e.supportedLngs=e.supportedLngs.concat(["cimode"])),e}function mv(){}function qle(e){Object.getOwnPropertyNames(Object.getPrototypeOf(e)).forEach(n=>{typeof e[n]=="function"&&(e[n]=e[n].bind(e))})}class Km extends JS{constructor(){let t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=arguments.length>1?arguments[1]:void 0;if(super(),this.options=fI(t),this.services={},this.logger=$s,this.modules={external:[]},qle(this),n&&!this.isInitialized&&!t.isClone){if(!this.options.initImmediate)return this.init(t,n),this;setTimeout(()=>{this.init(t,n)},0)}}init(){var t=this;let n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=arguments.length>1?arguments[1]:void 0;typeof n=="function"&&(r=n,n={}),!n.defaultNS&&n.defaultNS!==!1&&n.ns&&(typeof n.ns=="string"?n.defaultNS=n.ns:n.ns.indexOf("translation")<0&&(n.defaultNS=n.ns[0]));const i=dI();this.options={...i,...this.options,...fI(n)},this.options.compatibilityAPI!=="v1"&&(this.options.interpolation={...i.interpolation,...this.options.interpolation}),n.keySeparator!==void 0&&(this.options.userDefinedKeySeparator=n.keySeparator),n.nsSeparator!==void 0&&(this.options.userDefinedNsSeparator=n.nsSeparator);function o(c){return c?typeof c=="function"?new c:c:null}if(!this.options.isClone){this.modules.logger?$s.init(o(this.modules.logger),this.options):$s.init(null,this.options);let c;this.modules.formatter?c=this.modules.formatter:typeof Intl<"u"&&(c=Ule);const d=new lI(this.options);this.store=new aI(this.options.resources,this.options);const f=this.services;f.logger=$s,f.resourceStore=this.store,f.languageUtils=d,f.pluralResolver=new Ble(d,{prepend:this.options.pluralSeparator,compatibilityJSON:this.options.compatibilityJSON,simplifyPluralSuffix:this.options.simplifyPluralSuffix}),c&&(!this.options.interpolation.format||this.options.interpolation.format===i.interpolation.format)&&(f.formatter=o(c),f.formatter.init(f,this.options),this.options.interpolation.format=f.formatter.format.bind(f.formatter)),f.interpolator=new zle(this.options),f.utils={hasLoadedNamespace:this.hasLoadedNamespace.bind(this)},f.backendConnector=new Gle(o(this.modules.backend),f.resourceStore,f,this.options),f.backendConnector.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),_=1;_<p;_++)m[_-1]=arguments[_];t.emit(h,...m)}),this.modules.languageDetector&&(f.languageDetector=o(this.modules.languageDetector),f.languageDetector.init&&f.languageDetector.init(f,this.options.detection,this.options)),this.modules.i18nFormat&&(f.i18nFormat=o(this.modules.i18nFormat),f.i18nFormat.init&&f.i18nFormat.init(this)),this.translator=new a_(this.services,this.options),this.translator.on("*",function(h){for(var p=arguments.length,m=new Array(p>1?p-1:0),_=1;_<p;_++)m[_-1]=arguments[_];t.emit(h,...m)}),this.modules.external.forEach(h=>{h.init&&h.init(this)})}if(this.format=this.options.interpolation.format,r||(r=mv),this.options.fallbackLng&&!this.services.languageDetector&&!this.options.lng){const c=this.services.languageUtils.getFallbackCodes(this.options.fallbackLng);c.length>0&&c[0]!=="dev"&&(this.options.lng=c[0])}!this.services.languageDetector&&!this.options.lng&&this.logger.warn("init: no languageDetector is used and no lng is 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Please check the object you are passing to i18next.use()");if(!t.type)throw new Error("You are passing a wrong module! Please check the object you are passing to i18next.use()");return t.type==="backend"&&(this.modules.backend=t),(t.type==="logger"||t.log&&t.warn&&t.error)&&(this.modules.logger=t),t.type==="languageDetector"&&(this.modules.languageDetector=t),t.type==="i18nFormat"&&(this.modules.i18nFormat=t),t.type==="postProcessor"&&$B.addPostProcessor(t),t.type==="formatter"&&(this.modules.formatter=t),t.type==="3rdParty"&&this.modules.external.push(t),this}setResolvedLanguage(t){if(!(!t||!this.languages)&&!(["cimode","dev"].indexOf(t)>-1))for(let n=0;n<this.languages.length;n++){const r=this.languages[n];if(!(["cimode","dev"].indexOf(r)>-1)&&this.store.hasLanguageSomeTranslations(r)){this.resolvedLanguage=r;break}}}changeLanguage(t,n){var r=this;this.isLanguageChangingTo=t;const i=qp();this.emit("languageChanging",t);const o=l=>{this.language=l,this.languages=this.services.languageUtils.toResolveHierarchy(l),this.resolvedLanguage=void 0,this.setResolvedLanguage(l)},a=(l,u)=>{u?(o(u),this.translator.changeLanguage(u),this.isLanguageChangingTo=void 0,this.emit("languageChanged",u),this.logger.log("languageChanged",u)):this.isLanguageChangingTo=void 0,i.resolve(function(){return r.t(...arguments)}),n&&n(l,function(){return r.t(...arguments)})},s=l=>{!t&&!l&&this.services.languageDetector&&(l=[]);const u=typeof l=="string"?l:this.services.languageUtils.getBestMatchFromCodes(l);u&&(this.language||o(u),this.translator.language||this.translator.changeLanguage(u),this.services.languageDetector&&this.services.languageDetector.cacheUserLanguage&&this.services.languageDetector.cacheUserLanguage(u)),this.loadResources(u,c=>{a(c,u)})};return!t&&this.services.languageDetector&&!this.services.languageDetector.async?s(this.services.languageDetector.detect()):!t&&this.services.languageDetector&&this.services.languageDetector.async?this.services.languageDetector.detect.length===0?this.services.languageDetector.detect().then(s):this.services.languageDetector.detect(s):s(t),i}getFixedT(t,n,r){var i=this;const o=function(a,s){let l;if(typeof s!="object"){for(var u=arguments.length,c=new Array(u>2?u-2:0),d=2;d<u;d++)c[d-2]=arguments[d];l=i.options.overloadTranslationOptionHandler([a,s].concat(c))}else 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Wc=(e=>(e[e.PENDING=0]="PENDING",e[e.IN_PROGRESS=1]="IN_PROGRESS",e[e.COMPLETED=2]="COMPLETED",e[e.FAILED=3]="FAILED",e))(Wc||{});/*! pako 2.1.0 https://github.com/nodeca/pako @license (MIT AND Zlib) */const mce=4,vI=0,bI=1,yce=2;function vp(e){let t=e.length;for(;--t>=0;)e[t]=0}const vce=0,KB=1,bce=2,_ce=3,Sce=258,xk=29,dy=256,Ym=dy+1+xk,hh=30,wk=19,QB=2*Ym+1,nd=15,sC=16,xce=7,Ck=256,XB=16,YB=17,ZB=18,sE=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0]),$1=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13]),wce=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,3,7]),JB=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]),Cce=512,_l=new Array((Ym+2)*2);vp(_l);const Hg=new Array(hh*2);vp(Hg);const Zm=new Array(Cce);vp(Zm);const Jm=new Array(Sce-_ce+1);vp(Jm);const Ek=new Array(xk);vp(Ek);const f_=new Array(hh);vp(f_);function lC(e,t,n,r,i){this.static_tree=e,this.extra_bits=t,this.extra_base=n,this.elems=r,this.max_length=i,this.has_stree=e&&e.length}let ez,tz,nz;function uC(e,t){this.dyn_tree=e,this.max_code=0,this.stat_desc=t}const rz=e=>e<256?Zm[e]:Zm[256+(e>>>7)],e0=(e,t)=>{e.pending_buf[e.pending++]=t&255,e.pending_buf[e.pending++]=t>>>8&255},Co=(e,t,n)=>{e.bi_valid>sC-n?(e.bi_buf|=t<<e.bi_valid&65535,e0(e,e.bi_buf),e.bi_buf=t>>sC-e.bi_valid,e.bi_valid+=n-sC):(e.bi_buf|=t<<e.bi_valid&65535,e.bi_valid+=n)},Rs=(e,t,n)=>{Co(e,n[t*2],n[t*2+1])},iz=(e,t)=>{let n=0;do n|=e&1,e>>>=1,n<<=1;while(--t>0);return n>>>1},Ece=e=>{e.bi_valid===16?(e0(e,e.bi_buf),e.bi_buf=0,e.bi_valid=0):e.bi_valid>=8&&(e.pending_buf[e.pending++]=e.bi_buf&255,e.bi_buf>>=8,e.bi_valid-=8)},Tce=(e,t)=>{const n=t.dyn_tree,r=t.max_code,i=t.stat_desc.static_tree,o=t.stat_desc.has_stree,a=t.stat_desc.extra_bits,s=t.stat_desc.extra_base,l=t.stat_desc.max_length;let u,c,d,f,h,p,m=0;for(f=0;f<=nd;f++)e.bl_count[f]=0;for(n[e.heap[e.heap_max]*2+1]=0,u=e.heap_max+1;u<QB;u++)c=e.heap[u],f=n[n[c*2+1]*2+1]+1,f>l&&(f=l,m++),n[c*2+1]=f,!(c>r)&&(e.bl_count[f]++,h=0,c>=s&&(h=a[c-s]),p=n[c*2],e.opt_len+=p*(f+h),o&&(e.static_len+=p*(i[c*2+1]+h)));if(m!==0){do{for(f=l-1;e.bl_count[f]===0;)f--;e.bl_count[f]--,e.bl_count[f+1]+=2,e.bl_count[l]--,m-=2}while(m>0);for(f=l;f!==0;f--)for(c=e.bl_count[f];c!==0;)d=e.heap[--u],!(d>r)&&(n[d*2+1]!==f&&(e.opt_len+=(f-n[d*2+1])*n[d*2],n[d*2+1]=f),c--)}},oz=(e,t,n)=>{const r=new Array(nd+1);let i=0,o,a;for(o=1;o<=nd;o++)i=i+n[o-1]<<1,r[o]=i;for(a=0;a<=t;a++){let s=e[a*2+1];s!==0&&(e[a*2]=iz(r[s]++,s))}},kce=()=>{let e,t,n,r,i;const o=new Array(nd+1);for(n=0,r=0;r<xk-1;r++)for(Ek[r]=n,e=0;e<1<<sE[r];e++)Jm[n++]=r;for(Jm[n-1]=r,i=0,r=0;r<16;r++)for(f_[r]=i,e=0;e<1<<$1[r];e++)Zm[i++]=r;for(i>>=7;r<hh;r++)for(f_[r]=i<<7,e=0;e<1<<$1[r]-7;e++)Zm[256+i++]=r;for(t=0;t<=nd;t++)o[t]=0;for(e=0;e<=143;)_l[e*2+1]=8,e++,o[8]++;for(;e<=255;)_l[e*2+1]=9,e++,o[9]++;for(;e<=279;)_l[e*2+1]=7,e++,o[7]++;for(;e<=287;)_l[e*2+1]=8,e++,o[8]++;for(oz(_l,Ym+1,o),e=0;e<hh;e++)Hg[e*2+1]=5,Hg[e*2]=iz(e,5);ez=new lC(_l,sE,dy+1,Ym,nd),tz=new lC(Hg,$1,0,hh,nd),nz=new lC(new Array(0),wce,0,wk,xce)},az=e=>{let t;for(t=0;t<Ym;t++)e.dyn_ltree[t*2]=0;for(t=0;t<hh;t++)e.dyn_dtree[t*2]=0;for(t=0;t<wk;t++)e.bl_tree[t*2]=0;e.dyn_ltree[Ck*2]=1,e.opt_len=e.static_len=0,e.sym_next=e.matches=0},sz=e=>{e.bi_valid>8?e0(e,e.bi_buf):e.bi_valid>0&&(e.pending_buf[e.pending++]=e.bi_buf),e.bi_buf=0,e.bi_valid=0},_I=(e,t,n,r)=>{const i=t*2,o=n*2;return e[i]<e[o]||e[i]===e[o]&&r[t]<=r[n]},cC=(e,t,n)=>{const r=e.heap[n];let i=n<<1;for(;i<=e.heap_len&&(i<e.heap_len&&_I(t,e.heap[i+1],e.heap[i],e.depth)&&i++,!_I(t,r,e.heap[i],e.depth));)e.heap[n]=e.heap[i],n=i,i<<=1;e.heap[n]=r},SI=(e,t,n)=>{let r,i,o=0,a,s;if(e.sym_next!==0)do r=e.pending_buf[e.sym_buf+o++]&255,r+=(e.pending_buf[e.sym_buf+o++]&255)<<8,i=e.pending_buf[e.sym_buf+o++],r===0?Rs(e,i,t):(a=Jm[i],Rs(e,a+dy+1,t),s=sE[a],s!==0&&(i-=Ek[a],Co(e,i,s)),r--,a=rz(r),Rs(e,a,n),s=$1[a],s!==0&&(r-=f_[a],Co(e,r,s)));while(o<e.sym_next);Rs(e,Ck,t)},lE=(e,t)=>{const n=t.dyn_tree,r=t.stat_desc.static_tree,i=t.stat_desc.has_stree,o=t.stat_desc.elems;let a,s,l=-1,u;for(e.heap_len=0,e.heap_max=QB,a=0;a<o;a++)n[a*2]!==0?(e.heap[++e.heap_len]=l=a,e.depth[a]=0):n[a*2+1]=0;for(;e.heap_len<2;)u=e.heap[++e.heap_len]=l<2?++l:0,n[u*2]=1,e.depth[u]=0,e.opt_len--,i&&(e.static_len-=r[u*2+1]);for(t.max_code=l,a=e.heap_len>>1;a>=1;a--)cC(e,n,a);u=o;do a=e.heap[1],e.heap[1]=e.heap[e.heap_len--],cC(e,n,1),s=e.heap[1],e.heap[--e.heap_max]=a,e.heap[--e.heap_max]=s,n[u*2]=n[a*2]+n[s*2],e.depth[u]=(e.depth[a]>=e.depth[s]?e.depth[a]:e.depth[s])+1,n[a*2+1]=n[s*2+1]=u,e.heap[1]=u++,cC(e,n,1);while(e.heap_len>=2);e.heap[--e.heap_max]=e.heap[1],Tce(e,t),oz(n,l,e.bl_count)},xI=(e,t,n)=>{let r,i=-1,o,a=t[0*2+1],s=0,l=7,u=4;for(a===0&&(l=138,u=3),t[(n+1)*2+1]=65535,r=0;r<=n;r++)o=a,a=t[(r+1)*2+1],!(++s<l&&o===a)&&(s<u?e.bl_tree[o*2]+=s:o!==0?(o!==i&&e.bl_tree[o*2]++,e.bl_tree[XB*2]++):s<=10?e.bl_tree[YB*2]++:e.bl_tree[ZB*2]++,s=0,i=o,a===0?(l=138,u=3):o===a?(l=6,u=3):(l=7,u=4))},wI=(e,t,n)=>{let r,i=-1,o,a=t[0*2+1],s=0,l=7,u=4;for(a===0&&(l=138,u=3),r=0;r<=n;r++)if(o=a,a=t[(r+1)*2+1],!(++s<l&&o===a)){if(s<u)do Rs(e,o,e.bl_tree);while(--s!==0);else o!==0?(o!==i&&(Rs(e,o,e.bl_tree),s--),Rs(e,XB,e.bl_tree),Co(e,s-3,2)):s<=10?(Rs(e,YB,e.bl_tree),Co(e,s-3,3)):(Rs(e,ZB,e.bl_tree),Co(e,s-11,7));s=0,i=o,a===0?(l=138,u=3):o===a?(l=6,u=3):(l=7,u=4)}},Ace=e=>{let t;for(xI(e,e.dyn_ltree,e.l_desc.max_code),xI(e,e.dyn_dtree,e.d_desc.max_code),lE(e,e.bl_desc),t=wk-1;t>=3&&e.bl_tree[JB[t]*2+1]===0;t--);return e.opt_len+=3*(t+1)+5+5+4,t},Pce=(e,t,n,r)=>{let i;for(Co(e,t-257,5),Co(e,n-1,5),Co(e,r-4,4),i=0;i<r;i++)Co(e,e.bl_tree[JB[i]*2+1],3);wI(e,e.dyn_ltree,t-1),wI(e,e.dyn_dtree,n-1)},Ice=e=>{let t=4093624447,n;for(n=0;n<=31;n++,t>>>=1)if(t&1&&e.dyn_ltree[n*2]!==0)return vI;if(e.dyn_ltree[9*2]!==0||e.dyn_ltree[10*2]!==0||e.dyn_ltree[13*2]!==0)return bI;for(n=32;n<dy;n++)if(e.dyn_ltree[n*2]!==0)return bI;return vI};let CI=!1;const Rce=e=>{CI||(kce(),CI=!0),e.l_desc=new uC(e.dyn_ltree,ez),e.d_desc=new uC(e.dyn_dtree,tz),e.bl_desc=new uC(e.bl_tree,nz),e.bi_buf=0,e.bi_valid=0,az(e)},lz=(e,t,n,r)=>{Co(e,(vce<<1)+(r?1:0),3),sz(e),e0(e,n),e0(e,~n),n&&e.pending_buf.set(e.window.subarray(t,t+n),e.pending),e.pending+=n},Oce=e=>{Co(e,KB<<1,3),Rs(e,Ck,_l),Ece(e)},Mce=(e,t,n,r)=>{let i,o,a=0;e.level>0?(e.strm.data_type===yce&&(e.strm.data_type=Ice(e)),lE(e,e.l_desc),lE(e,e.d_desc),a=Ace(e),i=e.opt_len+3+7>>>3,o=e.static_len+3+7>>>3,o<=i&&(i=o)):i=o=n+5,n+4<=i&&t!==-1?lz(e,t,n,r):e.strategy===mce||o===i?(Co(e,(KB<<1)+(r?1:0),3),SI(e,_l,Hg)):(Co(e,(bce<<1)+(r?1:0),3),Pce(e,e.l_desc.max_code+1,e.d_desc.max_code+1,a+1),SI(e,e.dyn_ltree,e.dyn_dtree)),az(e),r&&sz(e)},Nce=(e,t,n)=>(e.pending_buf[e.sym_buf+e.sym_next++]=t,e.pending_buf[e.sym_buf+e.sym_next++]=t>>8,e.pending_buf[e.sym_buf+e.sym_next++]=n,t===0?e.dyn_ltree[n*2]++:(e.matches++,t--,e.dyn_ltree[(Jm[n]+dy+1)*2]++,e.dyn_dtree[rz(t)*2]++),e.sym_next===e.sym_end);var $ce=Rce,Dce=lz,Lce=Mce,Fce=Nce,Bce=Oce,zce={_tr_init:$ce,_tr_stored_block:Dce,_tr_flush_block:Lce,_tr_tally:Fce,_tr_align:Bce};const jce=(e,t,n,r)=>{let i=e&65535|0,o=e>>>16&65535|0,a=0;for(;n!==0;){a=n>2e3?2e3:n,n-=a;do i=i+t[r++]|0,o=o+i|0;while(--a);i%=65521,o%=65521}return i|o<<16|0};var t0=jce;const Uce=()=>{let e,t=[];for(var n=0;n<256;n++){e=n;for(var r=0;r<8;r++)e=e&1?3988292384^e>>>1:e>>>1;t[n]=e}return t},Vce=new Uint32Array(Uce()),Gce=(e,t,n,r)=>{const i=Vce,o=r+n;e^=-1;for(let a=r;a<o;a++)e=e>>>8^i[(e^t[a])&255];return e^-1};var si=Gce,Kh={2:"need dictionary",1:"stream end",0:"","-1":"file error","-2":"stream error","-3":"data error","-4":"insufficient memory","-5":"buffer error","-6":"incompatible version"},fy={Z_NO_FLUSH:0,Z_PARTIAL_FLUSH:1,Z_SYNC_FLUSH:2,Z_FULL_FLUSH:3,Z_FINISH:4,Z_BLOCK:5,Z_TREES:6,Z_OK:0,Z_STREAM_END:1,Z_NEED_DICT:2,Z_ERRNO:-1,Z_STREAM_ERROR:-2,Z_DATA_ERROR:-3,Z_MEM_ERROR:-4,Z_BUF_ERROR:-5,Z_NO_COMPRESSION:0,Z_BEST_SPEED:1,Z_BEST_COMPRESSION:9,Z_DEFAULT_COMPRESSION:-1,Z_FILTERED:1,Z_HUFFMAN_ONLY:2,Z_RLE:3,Z_FIXED:4,Z_DEFAULT_STRATEGY:0,Z_BINARY:0,Z_TEXT:1,Z_UNKNOWN:2,Z_DEFLATED:8};const{_tr_init:qce,_tr_stored_block:uE,_tr_flush_block:Hce,_tr_tally:Wu,_tr_align:Wce}=zce,{Z_NO_FLUSH:Ku,Z_PARTIAL_FLUSH:Kce,Z_FULL_FLUSH:Qce,Z_FINISH:va,Z_BLOCK:EI,Z_OK:Ei,Z_STREAM_END:TI,Z_STREAM_ERROR:Us,Z_DATA_ERROR:Xce,Z_BUF_ERROR:dC,Z_DEFAULT_COMPRESSION:Yce,Z_FILTERED:Zce,Z_HUFFMAN_ONLY:vv,Z_RLE:Jce,Z_FIXED:ede,Z_DEFAULT_STRATEGY:tde,Z_UNKNOWN:nde,Z_DEFLATED:e2}=fy,rde=9,ide=15,ode=8,ade=29,sde=256,cE=sde+1+ade,lde=30,ude=19,cde=2*cE+1,dde=15,zt=3,Du=258,Vs=Du+zt+1,fde=32,Qh=42,Tk=57,dE=69,fE=73,hE=91,pE=103,rd=113,bg=666,no=1,bp=2,Rd=3,_p=4,hde=3,id=(e,t)=>(e.msg=Kh[t],t),kI=e=>e*2-(e>4?9:0),ku=e=>{let t=e.length;for(;--t>=0;)e[t]=0},pde=e=>{let t,n,r,i=e.w_size;t=e.hash_size,r=t;do n=e.head[--r],e.head[r]=n>=i?n-i:0;while(--t);t=i,r=t;do n=e.prev[--r],e.prev[r]=n>=i?n-i:0;while(--t)};let gde=(e,t,n)=>(t<<e.hash_shift^n)&e.hash_mask,Qu=gde;const Bo=e=>{const t=e.state;let n=t.pending;n>e.avail_out&&(n=e.avail_out),n!==0&&(e.output.set(t.pending_buf.subarray(t.pending_out,t.pending_out+n),e.next_out),e.next_out+=n,t.pending_out+=n,e.total_out+=n,e.avail_out-=n,t.pending-=n,t.pending===0&&(t.pending_out=0))},Wo=(e,t)=>{Hce(e,e.block_start>=0?e.block_start:-1,e.strstart-e.block_start,t),e.block_start=e.strstart,Bo(e.strm)},an=(e,t)=>{e.pending_buf[e.pending++]=t},Wp=(e,t)=>{e.pending_buf[e.pending++]=t>>>8&255,e.pending_buf[e.pending++]=t&255},gE=(e,t,n,r)=>{let i=e.avail_in;return i>r&&(i=r),i===0?0:(e.avail_in-=i,t.set(e.input.subarray(e.next_in,e.next_in+i),n),e.state.wrap===1?e.adler=t0(e.adler,t,i,n):e.state.wrap===2&&(e.adler=si(e.adler,t,i,n)),e.next_in+=i,e.total_in+=i,i)},uz=(e,t)=>{let n=e.max_chain_length,r=e.strstart,i,o,a=e.prev_length,s=e.nice_match;const l=e.strstart>e.w_size-Vs?e.strstart-(e.w_size-Vs):0,u=e.window,c=e.w_mask,d=e.prev,f=e.strstart+Du;let h=u[r+a-1],p=u[r+a];e.prev_length>=e.good_match&&(n>>=2),s>e.lookahead&&(s=e.lookahead);do if(i=t,!(u[i+a]!==p||u[i+a-1]!==h||u[i]!==u[r]||u[++i]!==u[r+1])){r+=2,i++;do;while(u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&u[++r]===u[++i]&&r<f);if(o=Du-(f-r),r=f-Du,o>a){if(e.match_start=t,a=o,o>=s)break;h=u[r+a-1],p=u[r+a]}}while((t=d[t&c])>l&&--n!==0);return a<=e.lookahead?a:e.lookahead},Xh=e=>{const t=e.w_size;let n,r,i;do{if(r=e.window_size-e.lookahead-e.strstart,e.strstart>=t+(t-Vs)&&(e.window.set(e.window.subarray(t,t+t-r),0),e.match_start-=t,e.strstart-=t,e.block_start-=t,e.insert>e.strstart&&(e.insert=e.strstart),pde(e),r+=t),e.strm.avail_in===0)break;if(n=gE(e.strm,e.window,e.strstart+e.lookahead,r),e.lookahead+=n,e.lookahead+e.insert>=zt)for(i=e.strstart-e.insert,e.ins_h=e.window[i],e.ins_h=Qu(e,e.ins_h,e.window[i+1]);e.insert&&(e.ins_h=Qu(e,e.ins_h,e.window[i+zt-1]),e.prev[i&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=i,i++,e.insert--,!(e.lookahead+e.insert<zt)););}while(e.lookahead<Vs&&e.strm.avail_in!==0)},cz=(e,t)=>{let n=e.pending_buf_size-5>e.w_size?e.w_size:e.pending_buf_size-5,r,i,o,a=0,s=e.strm.avail_in;do{if(r=65535,o=e.bi_valid+42>>3,e.strm.avail_out<o||(o=e.strm.avail_out-o,i=e.strstart-e.block_start,r>i+e.strm.avail_in&&(r=i+e.strm.avail_in),r>o&&(r=o),r<n&&(r===0&&t!==va||t===Ku||r!==i+e.strm.avail_in)))break;a=t===va&&r===i+e.strm.avail_in?1:0,uE(e,0,0,a),e.pending_buf[e.pending-4]=r,e.pending_buf[e.pending-3]=r>>8,e.pending_buf[e.pending-2]=~r,e.pending_buf[e.pending-1]=~r>>8,Bo(e.strm),i&&(i>r&&(i=r),e.strm.output.set(e.window.subarray(e.block_start,e.block_start+i),e.strm.next_out),e.strm.next_out+=i,e.strm.avail_out-=i,e.strm.total_out+=i,e.block_start+=i,r-=i),r&&(gE(e.strm,e.strm.output,e.strm.next_out,r),e.strm.next_out+=r,e.strm.avail_out-=r,e.strm.total_out+=r)}while(a===0);return s-=e.strm.avail_in,s&&(s>=e.w_size?(e.matches=2,e.window.set(e.strm.input.subarray(e.strm.next_in-e.w_size,e.strm.next_in),0),e.strstart=e.w_size,e.insert=e.strstart):(e.window_size-e.strstart<=s&&(e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,e.insert>e.strstart&&(e.insert=e.strstart)),e.window.set(e.strm.input.subarray(e.strm.next_in-s,e.strm.next_in),e.strstart),e.strstart+=s,e.insert+=s>e.w_size-e.insert?e.w_size-e.insert:s),e.block_start=e.strstart),e.high_water<e.strstart&&(e.high_water=e.strstart),a?_p:t!==Ku&&t!==va&&e.strm.avail_in===0&&e.strstart===e.block_start?bp:(o=e.window_size-e.strstart,e.strm.avail_in>o&&e.block_start>=e.w_size&&(e.block_start-=e.w_size,e.strstart-=e.w_size,e.window.set(e.window.subarray(e.w_size,e.w_size+e.strstart),0),e.matches<2&&e.matches++,o+=e.w_size,e.insert>e.strstart&&(e.insert=e.strstart)),o>e.strm.avail_in&&(o=e.strm.avail_in),o&&(gE(e.strm,e.window,e.strstart,o),e.strstart+=o,e.insert+=o>e.w_size-e.insert?e.w_size-e.insert:o),e.high_water<e.strstart&&(e.high_water=e.strstart),o=e.bi_valid+42>>3,o=e.pending_buf_size-o>65535?65535:e.pending_buf_size-o,n=o>e.w_size?e.w_size:o,i=e.strstart-e.block_start,(i>=n||(i||t===va)&&t!==Ku&&e.strm.avail_in===0&&i<=o)&&(r=i>o?o:i,a=t===va&&e.strm.avail_in===0&&r===i?1:0,uE(e,e.block_start,r,a),e.block_start+=r,Bo(e.strm)),a?Rd:no)},fC=(e,t)=>{let n,r;for(;;){if(e.lookahead<Vs){if(Xh(e),e.lookahead<Vs&&t===Ku)return no;if(e.lookahead===0)break}if(n=0,e.lookahead>=zt&&(e.ins_h=Qu(e,e.ins_h,e.window[e.strstart+zt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),n!==0&&e.strstart-n<=e.w_size-Vs&&(e.match_length=uz(e,n)),e.match_length>=zt)if(r=Wu(e,e.strstart-e.match_start,e.match_length-zt),e.lookahead-=e.match_length,e.match_length<=e.max_lazy_match&&e.lookahead>=zt){e.match_length--;do e.strstart++,e.ins_h=Qu(e,e.ins_h,e.window[e.strstart+zt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart;while(--e.match_length!==0);e.strstart++}else e.strstart+=e.match_length,e.match_length=0,e.ins_h=e.window[e.strstart],e.ins_h=Qu(e,e.ins_h,e.window[e.strstart+1]);else r=Wu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++;if(r&&(Wo(e,!1),e.strm.avail_out===0))return no}return e.insert=e.strstart<zt-1?e.strstart:zt-1,t===va?(Wo(e,!0),e.strm.avail_out===0?Rd:_p):e.sym_next&&(Wo(e,!1),e.strm.avail_out===0)?no:bp},uf=(e,t)=>{let n,r,i;for(;;){if(e.lookahead<Vs){if(Xh(e),e.lookahead<Vs&&t===Ku)return no;if(e.lookahead===0)break}if(n=0,e.lookahead>=zt&&(e.ins_h=Qu(e,e.ins_h,e.window[e.strstart+zt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart),e.prev_length=e.match_length,e.prev_match=e.match_start,e.match_length=zt-1,n!==0&&e.prev_length<e.max_lazy_match&&e.strstart-n<=e.w_size-Vs&&(e.match_length=uz(e,n),e.match_length<=5&&(e.strategy===Zce||e.match_length===zt&&e.strstart-e.match_start>4096)&&(e.match_length=zt-1)),e.prev_length>=zt&&e.match_length<=e.prev_length){i=e.strstart+e.lookahead-zt,r=Wu(e,e.strstart-1-e.prev_match,e.prev_length-zt),e.lookahead-=e.prev_length-1,e.prev_length-=2;do++e.strstart<=i&&(e.ins_h=Qu(e,e.ins_h,e.window[e.strstart+zt-1]),n=e.prev[e.strstart&e.w_mask]=e.head[e.ins_h],e.head[e.ins_h]=e.strstart);while(--e.prev_length!==0);if(e.match_available=0,e.match_length=zt-1,e.strstart++,r&&(Wo(e,!1),e.strm.avail_out===0))return no}else if(e.match_available){if(r=Wu(e,0,e.window[e.strstart-1]),r&&Wo(e,!1),e.strstart++,e.lookahead--,e.strm.avail_out===0)return no}else e.match_available=1,e.strstart++,e.lookahead--}return e.match_available&&(r=Wu(e,0,e.window[e.strstart-1]),e.match_available=0),e.insert=e.strstart<zt-1?e.strstart:zt-1,t===va?(Wo(e,!0),e.strm.avail_out===0?Rd:_p):e.sym_next&&(Wo(e,!1),e.strm.avail_out===0)?no:bp},mde=(e,t)=>{let n,r,i,o;const a=e.window;for(;;){if(e.lookahead<=Du){if(Xh(e),e.lookahead<=Du&&t===Ku)return no;if(e.lookahead===0)break}if(e.match_length=0,e.lookahead>=zt&&e.strstart>0&&(i=e.strstart-1,r=a[i],r===a[++i]&&r===a[++i]&&r===a[++i])){o=e.strstart+Du;do;while(r===a[++i]&&r===a[++i]&&r===a[++i]&&r===a[++i]&&r===a[++i]&&r===a[++i]&&r===a[++i]&&r===a[++i]&&i<o);e.match_length=Du-(o-i),e.match_length>e.lookahead&&(e.match_length=e.lookahead)}if(e.match_length>=zt?(n=Wu(e,1,e.match_length-zt),e.lookahead-=e.match_length,e.strstart+=e.match_length,e.match_length=0):(n=Wu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++),n&&(Wo(e,!1),e.strm.avail_out===0))return no}return e.insert=0,t===va?(Wo(e,!0),e.strm.avail_out===0?Rd:_p):e.sym_next&&(Wo(e,!1),e.strm.avail_out===0)?no:bp},yde=(e,t)=>{let n;for(;;){if(e.lookahead===0&&(Xh(e),e.lookahead===0)){if(t===Ku)return no;break}if(e.match_length=0,n=Wu(e,0,e.window[e.strstart]),e.lookahead--,e.strstart++,n&&(Wo(e,!1),e.strm.avail_out===0))return no}return e.insert=0,t===va?(Wo(e,!0),e.strm.avail_out===0?Rd:_p):e.sym_next&&(Wo(e,!1),e.strm.avail_out===0)?no:bp};function vs(e,t,n,r,i){this.good_length=e,this.max_lazy=t,this.nice_length=n,this.max_chain=r,this.func=i}const _g=[new vs(0,0,0,0,cz),new vs(4,4,8,4,fC),new vs(4,5,16,8,fC),new vs(4,6,32,32,fC),new vs(4,4,16,16,uf),new vs(8,16,32,32,uf),new vs(8,16,128,128,uf),new vs(8,32,128,256,uf),new vs(32,128,258,1024,uf),new vs(32,258,258,4096,uf)],vde=e=>{e.window_size=2*e.w_size,ku(e.head),e.max_lazy_match=_g[e.level].max_lazy,e.good_match=_g[e.level].good_length,e.nice_match=_g[e.level].nice_length,e.max_chain_length=_g[e.level].max_chain,e.strstart=0,e.block_start=0,e.lookahead=0,e.insert=0,e.match_length=e.prev_length=zt-1,e.match_available=0,e.ins_h=0};function bde(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=e2,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new Uint16Array(cde*2),this.dyn_dtree=new Uint16Array((2*lde+1)*2),this.bl_tree=new Uint16Array((2*ude+1)*2),ku(this.dyn_ltree),ku(this.dyn_dtree),ku(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new Uint16Array(dde+1),this.heap=new Uint16Array(2*cE+1),ku(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new Uint16Array(2*cE+1),ku(this.depth),this.sym_buf=0,this.lit_bufsize=0,this.sym_next=0,this.sym_end=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}const hy=e=>{if(!e)return 1;const t=e.state;return!t||t.strm!==e||t.status!==Qh&&t.status!==Tk&&t.status!==dE&&t.status!==fE&&t.status!==hE&&t.status!==pE&&t.status!==rd&&t.status!==bg?1:0},dz=e=>{if(hy(e))return id(e,Us);e.total_in=e.total_out=0,e.data_type=nde;const t=e.state;return t.pending=0,t.pending_out=0,t.wrap<0&&(t.wrap=-t.wrap),t.status=t.wrap===2?Tk:t.wrap?Qh:rd,e.adler=t.wrap===2?0:1,t.last_flush=-2,qce(t),Ei},fz=e=>{const t=dz(e);return t===Ei&&vde(e.state),t},_de=(e,t)=>hy(e)||e.state.wrap!==2?Us:(e.state.gzhead=t,Ei),hz=(e,t,n,r,i,o)=>{if(!e)return Us;let a=1;if(t===Yce&&(t=6),r<0?(a=0,r=-r):r>15&&(a=2,r-=16),i<1||i>rde||n!==e2||r<8||r>15||t<0||t>9||o<0||o>ede||r===8&&a!==1)return id(e,Us);r===8&&(r=9);const s=new bde;return e.state=s,s.strm=e,s.status=Qh,s.wrap=a,s.gzhead=null,s.w_bits=r,s.w_size=1<<s.w_bits,s.w_mask=s.w_size-1,s.hash_bits=i+7,s.hash_size=1<<s.hash_bits,s.hash_mask=s.hash_size-1,s.hash_shift=~~((s.hash_bits+zt-1)/zt),s.window=new Uint8Array(s.w_size*2),s.head=new Uint16Array(s.hash_size),s.prev=new Uint16Array(s.w_size),s.lit_bufsize=1<<i+6,s.pending_buf_size=s.lit_bufsize*4,s.pending_buf=new Uint8Array(s.pending_buf_size),s.sym_buf=s.lit_bufsize,s.sym_end=(s.lit_bufsize-1)*3,s.level=t,s.strategy=o,s.method=n,fz(e)},Sde=(e,t)=>hz(e,t,e2,ide,ode,tde),xde=(e,t)=>{if(hy(e)||t>EI||t<0)return e?id(e,Us):Us;const n=e.state;if(!e.output||e.avail_in!==0&&!e.input||n.status===bg&&t!==va)return id(e,e.avail_out===0?dC:Us);const r=n.last_flush;if(n.last_flush=t,n.pending!==0){if(Bo(e),e.avail_out===0)return n.last_flush=-1,Ei}else if(e.avail_in===0&&kI(t)<=kI(r)&&t!==va)return id(e,dC);if(n.status===bg&&e.avail_in!==0)return id(e,dC);if(n.status===Qh&&n.wrap===0&&(n.status=rd),n.status===Qh){let i=e2+(n.w_bits-8<<4)<<8,o=-1;if(n.strategy>=vv||n.level<2?o=0:n.level<6?o=1:n.level===6?o=2:o=3,i|=o<<6,n.strstart!==0&&(i|=fde),i+=31-i%31,Wp(n,i),n.strstart!==0&&(Wp(n,e.adler>>>16),Wp(n,e.adler&65535)),e.adler=1,n.status=rd,Bo(e),n.pending!==0)return n.last_flush=-1,Ei}if(n.status===Tk){if(e.adler=0,an(n,31),an(n,139),an(n,8),n.gzhead)an(n,(n.gzhead.text?1:0)+(n.gzhead.hcrc?2:0)+(n.gzhead.extra?4:0)+(n.gzhead.name?8:0)+(n.gzhead.comment?16:0)),an(n,n.gzhead.time&255),an(n,n.gzhead.time>>8&255),an(n,n.gzhead.time>>16&255),an(n,n.gzhead.time>>24&255),an(n,n.level===9?2:n.strategy>=vv||n.level<2?4:0),an(n,n.gzhead.os&255),n.gzhead.extra&&n.gzhead.extra.length&&(an(n,n.gzhead.extra.length&255),an(n,n.gzhead.extra.length>>8&255)),n.gzhead.hcrc&&(e.adler=si(e.adler,n.pending_buf,n.pending,0)),n.gzindex=0,n.status=dE;else if(an(n,0),an(n,0),an(n,0),an(n,0),an(n,0),an(n,n.level===9?2:n.strategy>=vv||n.level<2?4:0),an(n,hde),n.status=rd,Bo(e),n.pending!==0)return n.last_flush=-1,Ei}if(n.status===dE){if(n.gzhead.extra){let i=n.pending,o=(n.gzhead.extra.length&65535)-n.gzindex;for(;n.pending+o>n.pending_buf_size;){let s=n.pending_buf_size-n.pending;if(n.pending_buf.set(n.gzhead.extra.subarray(n.gzindex,n.gzindex+s),n.pending),n.pending=n.pending_buf_size,n.gzhead.hcrc&&n.pending>i&&(e.adler=si(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex+=s,Bo(e),n.pending!==0)return n.last_flush=-1,Ei;i=0,o-=s}let a=new Uint8Array(n.gzhead.extra);n.pending_buf.set(a.subarray(n.gzindex,n.gzindex+o),n.pending),n.pending+=o,n.gzhead.hcrc&&n.pending>i&&(e.adler=si(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=fE}if(n.status===fE){if(n.gzhead.name){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=si(e.adler,n.pending_buf,n.pending-i,i)),Bo(e),n.pending!==0)return n.last_flush=-1,Ei;i=0}n.gzindex<n.gzhead.name.length?o=n.gzhead.name.charCodeAt(n.gzindex++)&255:o=0,an(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=si(e.adler,n.pending_buf,n.pending-i,i)),n.gzindex=0}n.status=hE}if(n.status===hE){if(n.gzhead.comment){let i=n.pending,o;do{if(n.pending===n.pending_buf_size){if(n.gzhead.hcrc&&n.pending>i&&(e.adler=si(e.adler,n.pending_buf,n.pending-i,i)),Bo(e),n.pending!==0)return n.last_flush=-1,Ei;i=0}n.gzindex<n.gzhead.comment.length?o=n.gzhead.comment.charCodeAt(n.gzindex++)&255:o=0,an(n,o)}while(o!==0);n.gzhead.hcrc&&n.pending>i&&(e.adler=si(e.adler,n.pending_buf,n.pending-i,i))}n.status=pE}if(n.status===pE){if(n.gzhead.hcrc){if(n.pending+2>n.pending_buf_size&&(Bo(e),n.pending!==0))return n.last_flush=-1,Ei;an(n,e.adler&255),an(n,e.adler>>8&255),e.adler=0}if(n.status=rd,Bo(e),n.pending!==0)return n.last_flush=-1,Ei}if(e.avail_in!==0||n.lookahead!==0||t!==Ku&&n.status!==bg){let i=n.level===0?cz(n,t):n.strategy===vv?yde(n,t):n.strategy===Jce?mde(n,t):_g[n.level].func(n,t);if((i===Rd||i===_p)&&(n.status=bg),i===no||i===Rd)return e.avail_out===0&&(n.last_flush=-1),Ei;if(i===bp&&(t===Kce?Wce(n):t!==EI&&(uE(n,0,0,!1),t===Qce&&(ku(n.head),n.lookahead===0&&(n.strstart=0,n.block_start=0,n.insert=0))),Bo(e),e.avail_out===0))return n.last_flush=-1,Ei}return t!==va?Ei:n.wrap<=0?TI:(n.wrap===2?(an(n,e.adler&255),an(n,e.adler>>8&255),an(n,e.adler>>16&255),an(n,e.adler>>24&255),an(n,e.total_in&255),an(n,e.total_in>>8&255),an(n,e.total_in>>16&255),an(n,e.total_in>>24&255)):(Wp(n,e.adler>>>16),Wp(n,e.adler&65535)),Bo(e),n.wrap>0&&(n.wrap=-n.wrap),n.pending!==0?Ei:TI)},wde=e=>{if(hy(e))return Us;const t=e.state.status;return e.state=null,t===rd?id(e,Xce):Ei},Cde=(e,t)=>{let n=t.length;if(hy(e))return Us;const r=e.state,i=r.wrap;if(i===2||i===1&&r.status!==Qh||r.lookahead)return Us;if(i===1&&(e.adler=t0(e.adler,t,n,0)),r.wrap=0,n>=r.w_size){i===0&&(ku(r.head),r.strstart=0,r.block_start=0,r.insert=0);let l=new Uint8Array(r.w_size);l.set(t.subarray(n-r.w_size,n),0),t=l,n=r.w_size}const o=e.avail_in,a=e.next_in,s=e.input;for(e.avail_in=n,e.next_in=0,e.input=t,Xh(r);r.lookahead>=zt;){let l=r.strstart,u=r.lookahead-(zt-1);do r.ins_h=Qu(r,r.ins_h,r.window[l+zt-1]),r.prev[l&r.w_mask]=r.head[r.ins_h],r.head[r.ins_h]=l,l++;while(--u);r.strstart=l,r.lookahead=zt-1,Xh(r)}return r.strstart+=r.lookahead,r.block_start=r.strstart,r.insert=r.lookahead,r.lookahead=0,r.match_length=r.prev_length=zt-1,r.match_available=0,e.next_in=a,e.input=s,e.avail_in=o,r.wrap=i,Ei};var Ede=Sde,Tde=hz,kde=fz,Ade=dz,Pde=_de,Ide=xde,Rde=wde,Ode=Cde,Mde="pako deflate (from Nodeca project)",Wg={deflateInit:Ede,deflateInit2:Tde,deflateReset:kde,deflateResetKeep:Ade,deflateSetHeader:Pde,deflate:Ide,deflateEnd:Rde,deflateSetDictionary:Ode,deflateInfo:Mde};const Nde=(e,t)=>Object.prototype.hasOwnProperty.call(e,t);var $de=function(e){const t=Array.prototype.slice.call(arguments,1);for(;t.length;){const n=t.shift();if(n){if(typeof n!="object")throw new TypeError(n+"must be non-object");for(const r in n)Nde(n,r)&&(e[r]=n[r])}}return e},Dde=e=>{let t=0;for(let r=0,i=e.length;r<i;r++)t+=e[r].length;const n=new Uint8Array(t);for(let r=0,i=0,o=e.length;r<o;r++){let a=e[r];n.set(a,i),i+=a.length}return n},t2={assign:$de,flattenChunks:Dde};let pz=!0;try{String.fromCharCode.apply(null,new Uint8Array(1))}catch{pz=!1}const n0=new Uint8Array(256);for(let e=0;e<256;e++)n0[e]=e>=252?6:e>=248?5:e>=240?4:e>=224?3:e>=192?2:1;n0[254]=n0[254]=1;var Lde=e=>{if(typeof TextEncoder=="function"&&TextEncoder.prototype.encode)return new TextEncoder().encode(e);let t,n,r,i,o,a=e.length,s=0;for(i=0;i<a;i++)n=e.charCodeAt(i),(n&64512)===55296&&i+1<a&&(r=e.charCodeAt(i+1),(r&64512)===56320&&(n=65536+(n-55296<<10)+(r-56320),i++)),s+=n<128?1:n<2048?2:n<65536?3:4;for(t=new 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n=Wg.deflateInit2(this.strm,t.level,t.method,t.windowBits,t.memLevel,t.strategy);if(n!==h_)throw new Error(Kh[n]);if(t.header&&Wg.deflateSetHeader(this.strm,t.header),t.dictionary){let r;if(typeof t.dictionary=="string"?r=r0.string2buf(t.dictionary):mz.call(t.dictionary)==="[object ArrayBuffer]"?r=new Uint8Array(t.dictionary):r=t.dictionary,n=Wg.deflateSetDictionary(this.strm,r),n!==h_)throw new Error(Kh[n]);this._dict_set=!0}}kk.prototype.push=function(e,t){const n=this.strm,r=this.options.chunkSize;let i,o;if(this.ended)return!1;for(t===~~t?o=t:o=t===!0?qde:Ude,typeof e=="string"?n.input=r0.string2buf(e):mz.call(e)==="[object ArrayBuffer]"?n.input=new Uint8Array(e):n.input=e,n.next_in=0,n.avail_in=n.input.length;;){if(n.avail_out===0&&(n.output=new Uint8Array(r),n.next_out=0,n.avail_out=r),(o===Vde||o===Gde)&&n.avail_out<=6){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(i=Wg.deflate(n,o),i===Hde)return n.next_out>0&&this.onData(n.output.subarray(0,n.next_out)),i=Wg.deflateEnd(this.strm),this.onEnd(i),this.ended=!0,i===h_;if(n.avail_out===0){this.onData(n.output);continue}if(o>0&&n.next_out>0){this.onData(n.output.subarray(0,n.next_out)),n.avail_out=0;continue}if(n.avail_in===0)break}return!0};kk.prototype.onData=function(e){this.chunks.push(e)};kk.prototype.onEnd=function(e){e===h_&&(this.result=t2.flattenChunks(this.chunks)),this.chunks=[],this.err=e,this.msg=this.strm.msg};const bv=16209,Xde=16191;var Yde=function(t,n){let r,i,o,a,s,l,u,c,d,f,h,p,m,_,b,y,g,v,S,w,x,C,k,T;const P=t.state;r=t.next_in,k=t.input,i=r+(t.avail_in-5),o=t.next_out,T=t.output,a=o-(n-t.avail_out),s=o+(t.avail_out-257),l=P.dmax,u=P.wsize,c=P.whave,d=P.wnext,f=P.window,h=P.hold,p=P.bits,m=P.lencode,_=P.distcode,b=(1<<P.lenbits)-1,y=(1<<P.distbits)-1;e:do{p<15&&(h+=k[r++]<<p,p+=8,h+=k[r++]<<p,p+=8),g=m[h&b];t:for(;;){if(v=g>>>24,h>>>=v,p-=v,v=g>>>16&255,v===0)T[o++]=g&65535;else if(v&16){S=g&65535,v&=15,v&&(p<v&&(h+=k[r++]<<p,p+=8),S+=h&(1<<v)-1,h>>>=v,p-=v),p<15&&(h+=k[r++]<<p,p+=8,h+=k[r++]<<p,p+=8),g=_[h&y];n:for(;;){if(v=g>>>24,h>>>=v,p-=v,v=g>>>16&255,v&16){if(w=g&65535,v&=15,p<v&&(h+=k[r++]<<p,p+=8,p<v&&(h+=k[r++]<<p,p+=8)),w+=h&(1<<v)-1,w>l){t.msg="invalid distance too far back",P.mode=bv;break e}if(h>>>=v,p-=v,v=o-a,w>v){if(v=w-v,v>c&&P.sane){t.msg="invalid distance too far back",P.mode=bv;break e}if(x=0,C=f,d===0){if(x+=u-v,v<S){S-=v;do T[o++]=f[x++];while(--v);x=o-w,C=T}}else if(d<v){if(x+=u+d-v,v-=d,v<S){S-=v;do T[o++]=f[x++];while(--v);if(x=0,d<S){v=d,S-=v;do T[o++]=f[x++];while(--v);x=o-w,C=T}}}else if(x+=d-v,v<S){S-=v;do T[o++]=f[x++];while(--v);x=o-w,C=T}for(;S>2;)T[o++]=C[x++],T[o++]=C[x++],T[o++]=C[x++],S-=3;S&&(T[o++]=C[x++],S>1&&(T[o++]=C[x++]))}else{x=o-w;do T[o++]=T[x++],T[o++]=T[x++],T[o++]=T[x++],S-=3;while(S>2);S&&(T[o++]=T[x++],S>1&&(T[o++]=T[x++]))}}else if(v&64){t.msg="invalid distance code",P.mode=bv;break 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x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.name+=String.fromCharCode(x));while(x&&h<s);if(n.flags&512&&n.wrap&4&&(n.check=si(n.check,r,h,o)),s-=h,o+=h,x)break e}else n.head&&(n.head.name=null);n.length=0,n.mode=zI;case zI:if(n.flags&4096){if(s===0)break e;h=0;do x=r[o+h++],n.head&&x&&n.length<65536&&(n.head.comment+=String.fromCharCode(x));while(x&&h<s);if(n.flags&512&&n.wrap&4&&(n.check=si(n.check,r,h,o)),s-=h,o+=h,x)break e}else n.head&&(n.head.comment=null);n.mode=jI;case jI:if(n.flags&512){for(;c<16;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(n.wrap&4&&u!==(n.check&65535)){e.msg="header crc mismatch",n.mode=Jn;break}u=0,c=0}n.head&&(n.head.hcrc=n.flags>>9&1,n.head.done=!0),e.adler=n.check=0,n.mode=ul;break;case UI:for(;c<32;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}e.adler=n.check=tR(u),u=0,c=0,n.mode=p_;case p_:if(n.havedict===0)return e.next_out=a,e.avail_out=l,e.next_in=o,e.avail_in=s,n.hold=u,n.bits=c,afe;e.adler=n.check=1,n.mode=ul;case ul:if(t===ife||t===_v)break e;case pC:if(n.last){u>>>=c&7,c-=c&7,n.mode=mC;break}for(;c<3;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}switch(n.last=u&1,u>>>=1,c-=1,u&3){case 0:n.mode=VI;break;case 1:if(pfe(n),n.mode=Sv,t===_v){u>>>=2,c-=2;break e}break;case 2:n.mode=qI;break;case 3:e.msg="invalid block type",n.mode=Jn}u>>>=2,c-=2;break;case VI:for(u>>>=c&7,c-=c&7;c<32;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if((u&65535)!==(u>>>16^65535)){e.msg="invalid stored block lengths",n.mode=Jn;break}if(n.length=u&65535,u=0,c=0,n.mode=gC,t===_v)break e;case gC:n.mode=GI;case GI:if(h=n.length,h){if(h>s&&(h=s),h>l&&(h=l),h===0)break e;i.set(r.subarray(o,o+h),a),s-=h,o+=h,l-=h,a+=h,n.length-=h;break}n.mode=ul;break;case qI:for(;c<14;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(n.nlen=(u&31)+257,u>>>=5,c-=5,n.ndist=(u&31)+1,u>>>=5,c-=5,n.ncode=(u&15)+4,u>>>=4,c-=4,n.nlen>286||n.ndist>30){e.msg="too many length or distance symbols",n.mode=Jn;break}n.have=0,n.mode=HI;case HI:for(;n.have<n.ncode;){for(;c<3;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}n.lens[$[n.have++]]=u&7,u>>>=3,c-=3}for(;n.have<19;)n.lens[$[n.have++]]=0;if(n.lencode=n.lendyn,n.lenbits=7,T={bits:n.lenbits},C=Kg(rfe,n.lens,0,19,n.lencode,0,n.work,T),n.lenbits=T.bits,C){e.msg="invalid code lengths set",n.mode=Jn;break}n.have=0,n.mode=WI;case WI:for(;n.have<n.nlen+n.ndist;){for(;_=n.lencode[u&(1<<n.lenbits)-1],b=_>>>24,y=_>>>16&255,g=_&65535,!(b<=c);){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(g<16)u>>>=b,c-=b,n.lens[n.have++]=g;else{if(g===16){for(P=b+2;c<P;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(u>>>=b,c-=b,n.have===0){e.msg="invalid bit length repeat",n.mode=Jn;break}x=n.lens[n.have-1],h=3+(u&3),u>>>=2,c-=2}else if(g===17){for(P=b+3;c<P;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}u>>>=b,c-=b,x=0,h=3+(u&7),u>>>=3,c-=3}else{for(P=b+7;c<P;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}u>>>=b,c-=b,x=0,h=11+(u&127),u>>>=7,c-=7}if(n.have+h>n.nlen+n.ndist){e.msg="invalid bit length repeat",n.mode=Jn;break}for(;h--;)n.lens[n.have++]=x}}if(n.mode===Jn)break;if(n.lens[256]===0){e.msg="invalid code -- missing end-of-block",n.mode=Jn;break}if(n.lenbits=9,T={bits:n.lenbits},C=Kg(yz,n.lens,0,n.nlen,n.lencode,0,n.work,T),n.lenbits=T.bits,C){e.msg="invalid literal/lengths set",n.mode=Jn;break}if(n.distbits=6,n.distcode=n.distdyn,T={bits:n.distbits},C=Kg(vz,n.lens,n.nlen,n.ndist,n.distcode,0,n.work,T),n.distbits=T.bits,C){e.msg="invalid distances set",n.mode=Jn;break}if(n.mode=Sv,t===_v)break e;case Sv:n.mode=xv;case xv:if(s>=6&&l>=258){e.next_out=a,e.avail_out=l,e.next_in=o,e.avail_in=s,n.hold=u,n.bits=c,Yde(e,f),a=e.next_out,i=e.output,l=e.avail_out,o=e.next_in,r=e.input,s=e.avail_in,u=n.hold,c=n.bits,n.mode===ul&&(n.back=-1);break}for(n.back=0;_=n.lencode[u&(1<<n.lenbits)-1],b=_>>>24,y=_>>>16&255,g=_&65535,!(b<=c);){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(y&&!(y&240)){for(v=b,S=y,w=g;_=n.lencode[w+((u&(1<<v+S)-1)>>v)],b=_>>>24,y=_>>>16&255,g=_&65535,!(v+b<=c);){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=b,c-=b,n.back+=b,n.length=g,y===0){n.mode=ZI;break}if(y&32){n.back=-1,n.mode=ul;break}if(y&64){e.msg="invalid literal/length code",n.mode=Jn;break}n.extra=y&15,n.mode=KI;case KI:if(n.extra){for(P=n.extra;c<P;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}n.length+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}n.was=n.length,n.mode=QI;case QI:for(;_=n.distcode[u&(1<<n.distbits)-1],b=_>>>24,y=_>>>16&255,g=_&65535,!(b<=c);){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}if(!(y&240)){for(v=b,S=y,w=g;_=n.distcode[w+((u&(1<<v+S)-1)>>v)],b=_>>>24,y=_>>>16&255,g=_&65535,!(v+b<=c);){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}u>>>=v,c-=v,n.back+=v}if(u>>>=b,c-=b,n.back+=b,y&64){e.msg="invalid distance code",n.mode=Jn;break}n.offset=g,n.extra=y&15,n.mode=XI;case XI:if(n.extra){for(P=n.extra;c<P;){if(s===0)break e;s--,u+=r[o++]<<c,c+=8}n.offset+=u&(1<<n.extra)-1,u>>>=n.extra,c-=n.extra,n.back+=n.extra}if(n.offset>n.dmax){e.msg="invalid distance too far back",n.mode=Jn;break}n.mode=YI;case YI:if(l===0)break e;if(h=f-l,n.offset>h){if(h=n.offset-h,h>n.whave&&n.sane){e.msg="invalid distance too far back",n.mode=Jn;break}h>n.wnext?(h-=n.wnext,p=n.wsize-h):p=n.wnext-h,h>n.length&&(h=n.length),m=n.window}else m=i,p=a-n.offset,h=n.length;h>l&&(h=l),l-=h,n.length-=h;do i[a++]=m[p++];while(--h);n.length===0&&(n.mode=xv);break;case ZI:if(l===0)break e;i[a++]=n.length,l--,n.mode=xv;break;case mC:if(n.wrap){for(;c<32;){if(s===0)break e;s--,u|=r[o++]<<c,c+=8}if(f-=l,e.total_out+=f,n.total+=f,n.wrap&4&&f&&(e.adler=n.check=n.flags?si(n.check,i,f,a-f):t0(n.check,i,f,a-f)),f=l,n.wrap&4&&(n.flags?u:tR(u))!==n.check){e.msg="incorrect data check",n.mode=Jn;break}u=0,c=0}n.mode=JI;case JI:if(n.wrap&&n.flags){for(;c<32;){if(s===0)break 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Vd(e)||(r=e.state,r.wrap!==0&&r.mode!==p_)?Ta:r.mode===p_&&(i=1,i=t0(i,t,n,0),i!==r.check)?bz:(o=kz(e,t,n,n),o?(r.mode=Sz,_z):(r.havedict=1,Od))};var bfe=Cz,_fe=Ez,Sfe=wz,xfe=hfe,wfe=Tz,Cfe=gfe,Efe=mfe,Tfe=yfe,kfe=vfe,Afe="pako inflate (from Nodeca project)",Sl={inflateReset:bfe,inflateReset2:_fe,inflateResetKeep:Sfe,inflateInit:xfe,inflateInit2:wfe,inflate:Cfe,inflateEnd:Efe,inflateGetHeader:Tfe,inflateSetDictionary:kfe,inflateInfo:Afe};function Pfe(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}var Ife=Pfe;const Az=Object.prototype.toString,{Z_NO_FLUSH:Rfe,Z_FINISH:Ofe,Z_OK:i0,Z_STREAM_END:bC,Z_NEED_DICT:_C,Z_STREAM_ERROR:Mfe,Z_DATA_ERROR:rR,Z_MEM_ERROR:Nfe}=fy;function py(e){this.options=t2.assign({chunkSize:1024*64,windowBits:15,to:""},e||{});const 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onQueryStarted({board_id:t,imageDTO:n},{dispatch:r,queryFulfilled:i,getState:o}){const a=[],s=sa(n),l=Ji.includes(n.image_category);if(a.push(r(ve.util.updateQueryData("getImageDTO",n.image_name,u=>{u.board_id=t}))),!n.is_intermediate){a.push(r(ve.util.updateQueryData("listImages",{board_id:n.board_id??"none",categories:s},p=>{Gn.removeOne(p,n.image_name)}))),a.push(r(Ft.util.updateQueryData(l?"getBoardAssetsTotal":"getBoardImagesTotal",n.board_id??"none",p=>{p.total=Math.max(p.total-1,0)}))),a.push(r(Ft.util.updateQueryData(l?"getBoardAssetsTotal":"getBoardImagesTotal",t??"none",p=>{p.total+=1})));const u={board_id:t??"none",categories:s},c=ve.endpoints.listImages.select(u)(o()),{data:d}=oi.includes(n.image_category)?Ft.endpoints.getBoardImagesTotal.select(n.board_id??"none")(o()):Ft.endpoints.getBoardAssetsTotal.select(n.board_id??"none")(o()),f=c.data&&c.data.ids.length>=((d==null?void 0:d.total)??0),h=Mc(c.data,n);(f||h)&&a.push(r(ve.util.updateQueryData("listImages",u,p=>{Gn.addOne(p,n)})))}try{await i}catch{a.forEach(u=>u.undo())}}}),removeImageFromBoard:e.mutation({query:({imageDTO:t})=>{const{image_name:n}=t;return{url:"board_images/",method:"DELETE",body:{image_name:n}}},invalidatesTags:(t,n,{imageDTO:r})=>{const{board_id:i}=r;return[{type:"Board",id:i??"none"}]},async onQueryStarted({imageDTO:t},{dispatch:n,queryFulfilled:r,getState:i}){const o=sa(t),a=[],s=Ji.includes(t.image_category);a.push(n(ve.util.updateQueryData("getImageDTO",t.image_name,h=>{h.board_id=void 0}))),a.push(n(ve.util.updateQueryData("listImages",{board_id:t.board_id??"none",categories:o},h=>{Gn.removeOne(h,t.image_name)}))),a.push(n(Ft.util.updateQueryData(s?"getBoardAssetsTotal":"getBoardImagesTotal",t.board_id??"none",h=>{h.total=Math.max(h.total-1,0)}))),a.push(n(Ft.util.updateQueryData(s?"getBoardAssetsTotal":"getBoardImagesTotal","none",h=>{h.total+=1})));const l={board_id:"none",categories:o},u=ve.endpoints.listImages.select(l)(i()),{data:c}=oi.includes(t.image_category)?Ft.endpoints.getBoardImagesTotal.select(t.board_id??"none")(i()):Ft.endpoints.getBoardAssetsTotal.select(t.board_id??"none")(i()),d=u.data&&u.data.ids.length>=((c==null?void 0:c.total)??0),f=Mc(u.data,t);(d||f)&&a.push(n(ve.util.updateQueryData("listImages",l,h=>{Gn.upsertOne(h,t)})));try{await r}catch{a.forEach(h=>h.undo())}}}),addImagesToBoard:e.mutation({query:({board_id:t,imageDTOs:n})=>({url:"board_images/batch",method:"POST",body:{image_names:n.map(r=>r.image_name),board_id:t}}),invalidatesTags:(t,n,{board_id:r})=>[{type:"Board",id:r??"none"}],async onQueryStarted({board_id:t,imageDTOs:n},{dispatch:r,queryFulfilled:i,getState:o}){try{const{data:a}=await i,{added_image_names:s}=a;s.forEach(l=>{r(ve.util.updateQueryData("getImageDTO",l,y=>{y.board_id=t==="none"?void 0:t}));const u=n.find(y=>y.image_name===l);if(!u)return;const c=sa(u),d=u.board_id,f=Ji.includes(u.image_category);r(ve.util.updateQueryData("listImages",{board_id:d??"none",categories:c},y=>{Gn.removeOne(y,u.image_name)})),r(Ft.util.updateQueryData(f?"getBoardAssetsTotal":"getBoardImagesTotal",d??"none",y=>{y.total=Math.max(y.total-1,0)})),r(Ft.util.updateQueryData(f?"getBoardAssetsTotal":"getBoardImagesTotal",t??"none",y=>{y.total+=1}));const h={board_id:t,categories:c},p=ve.endpoints.listImages.select(h)(o()),{data:m}=oi.includes(u.image_category)?Ft.endpoints.getBoardImagesTotal.select(t??"none")(o()):Ft.endpoints.getBoardAssetsTotal.select(t??"none")(o()),_=p.data&&p.data.ids.length>=((m==null?void 0:m.total)??0),b=((m==null?void 0:m.total)??0)>=hv?Mc(p.data,u):!0;(_||b)&&r(ve.util.updateQueryData("listImages",h,y=>{Gn.upsertOne(y,{...u,board_id:t})}))})}catch{}}}),removeImagesFromBoard:e.mutation({query:({imageDTOs:t})=>({url:"board_images/batch/delete",method:"POST",body:{image_names:t.map(n=>n.image_name)}}),invalidatesTags:(t,n,{imageDTOs:r})=>{const i=[],o=[];return t==null||t.removed_image_names.forEach(a=>{var l;const s=(l=r.find(u=>u.image_name===a))==null?void 0:l.board_id;!s||i.includes(s)||o.push({type:"Board",id:s})}),o},async onQueryStarted({imageDTOs:t},{dispatch:n,queryFulfilled:r,getState:i}){try{const{data:o}=await r,{removed_image_names:a}=o;a.forEach(s=>{n(ve.util.updateQueryData("getImageDTO",s,_=>{_.board_id=void 0}));const l=t.find(_=>_.image_name===s);if(!l)return;const u=sa(l),c=Ji.includes(l.image_category);n(ve.util.updateQueryData("listImages",{board_id:l.board_id??"none",categories:u},_=>{Gn.removeOne(_,l.image_name)})),n(Ft.util.updateQueryData(c?"getBoardAssetsTotal":"getBoardImagesTotal",l.board_id??"none",_=>{_.total=Math.max(_.total-1,0)})),n(Ft.util.updateQueryData(c?"getBoardAssetsTotal":"getBoardImagesTotal","none",_=>{_.total+=1}));const d={board_id:"none",categories:u},f=ve.endpoints.listImages.select(d)(i()),{data:h}=oi.includes(l.image_category)?Ft.endpoints.getBoardImagesTotal.select(l.board_id??"none")(i()):Ft.endpoints.getBoardAssetsTotal.select(l.board_id??"none")(i()),p=f.data&&f.data.ids.length>=((h==null?void 0:h.total)??0),m=((h==null?void 0:h.total)??0)>=hv?Mc(f.data,l):!0;(p||m)&&n(ve.util.updateQueryData("listImages",d,_=>{Gn.upsertOne(_,{...l,board_id:"none"})}))})}catch{}}})})}),{useGetIntermediatesCountQuery:zGe,useListImagesQuery:jGe,useLazyListImagesQuery:UGe,useGetImageDTOQuery:VGe,useGetImageMetadataQuery:GGe,useDeleteImageMutation:qGe,useDeleteImagesMutation:HGe,useUploadImageMutation:WGe,useClearIntermediatesMutation:KGe,useAddImagesToBoardMutation:QGe,useRemoveImagesFromBoardMutation:XGe,useAddImageToBoardMutation:YGe,useRemoveImageFromBoardMutation:ZGe,useChangeImageIsIntermediateMutation:JGe,useChangeImageSessionIdMutation:eqe,useDeleteBoardAndImagesMutation:tqe,useDeleteBoardMutation:nqe,useStarImagesMutation:rqe,useUnstarImagesMutation:iqe,useGetImageMetadataFromFileQuery:oqe}=ve,jj=Ne("socket/socketConnected"),Vk=Ne("socket/appSocketConnected"),Uj=Ne("socket/socketDisconnected"),Vj=Ne("socket/appSocketDisconnected"),f0e=Ne("socket/socketSubscribedSession"),h0e=Ne("socket/appSocketSubscribedSession"),p0e=Ne("socket/socketUnsubscribedSession"),g0e=Ne("socket/appSocketUnsubscribedSession"),Gj=Ne("socket/socketInvocationStarted"),Gk=Ne("socket/appSocketInvocationStarted"),qk=Ne("socket/socketInvocationComplete"),Hk=Ne("socket/appSocketInvocationComplete"),qj=Ne("socket/socketInvocationError"),G2=Ne("socket/appSocketInvocationError"),Hj=Ne("socket/socketGraphExecutionStateComplete"),Wj=Ne("socket/appSocketGraphExecutionStateComplete"),Kj=Ne("socket/socketGeneratorProgress"),Wk=Ne("socket/appSocketGeneratorProgress"),Qj=Ne("socket/socketModelLoadStarted"),Xj=Ne("socket/appSocketModelLoadStarted"),Yj=Ne("socket/socketModelLoadCompleted"),Zj=Ne("socket/appSocketModelLoadCompleted"),Jj=Ne("socket/socketSessionRetrievalError"),eU=Ne("socket/appSocketSessionRetrievalError"),tU=Ne("socket/socketInvocationRetrievalError"),nU=Ne("socket/appSocketInvocationRetrievalError"),rU=Ne("socket/socketQueueItemStatusChanged"),Kk=Ne("socket/appSocketQueueItemStatusChanged"),Qk=Ne("controlNet/imageProcessed"),Ef={none:{type:"none",get label(){return be.t("controlnet.none")},get description(){return be.t("controlnet.noneDescription")},default:{type:"none"}},canny_image_processor:{type:"canny_image_processor",get label(){return be.t("controlnet.canny")},get description(){return be.t("controlnet.cannyDescription")},default:{id:"canny_image_processor",type:"canny_image_processor",low_threshold:100,high_threshold:200}},color_map_image_processor:{type:"color_map_image_processor",get label(){return be.t("controlnet.colorMap")},get description(){return be.t("controlnet.colorMapDescription")},default:{id:"color_map_image_processor",type:"color_map_image_processor",color_map_tile_size:64}},content_shuffle_image_processor:{type:"content_shuffle_image_processor",get label(){return be.t("controlnet.contentShuffle")},get description(){return be.t("controlnet.contentShuffleDescription")},default:{id:"content_shuffle_image_processor",type:"content_shuffle_image_processor",detect_resolution:512,image_resolution:512,h:512,w:512,f:256}},hed_image_processor:{type:"hed_image_processor",get label(){return be.t("controlnet.hed")},get description(){return be.t("controlnet.hedDescription")},default:{id:"hed_image_processor",type:"hed_image_processor",detect_resolution:512,image_resolution:512,scribble:!1}},lineart_anime_image_processor:{type:"lineart_anime_image_processor",get label(){return be.t("controlnet.lineartAnime")},get description(){return be.t("controlnet.lineartAnimeDescription")},default:{id:"lineart_anime_image_processor",type:"lineart_anime_image_processor",detect_resolution:512,image_resolution:512}},lineart_image_processor:{type:"lineart_image_processor",get label(){return be.t("controlnet.lineart")},get description(){return be.t("controlnet.lineartDescription")},default:{id:"lineart_image_processor",type:"lineart_image_processor",detect_resolution:512,image_resolution:512,coarse:!1}},mediapipe_face_processor:{type:"mediapipe_face_processor",get label(){return be.t("controlnet.mediapipeFace")},get description(){return be.t("controlnet.mediapipeFaceDescription")},default:{id:"mediapipe_face_processor",type:"mediapipe_face_processor",max_faces:1,min_confidence:.5}},midas_depth_image_processor:{type:"midas_depth_image_processor",get label(){return be.t("controlnet.depthMidas")},get description(){return be.t("controlnet.depthMidasDescription")},default:{id:"midas_depth_image_processor",type:"midas_depth_image_processor",a_mult:2,bg_th:.1}},mlsd_image_processor:{type:"mlsd_image_processor",get label(){return be.t("controlnet.mlsd")},get description(){return be.t("controlnet.mlsdDescription")},default:{id:"mlsd_image_processor",type:"mlsd_image_processor",detect_resolution:512,image_resolution:512,thr_d:.1,thr_v:.1}},normalbae_image_processor:{type:"normalbae_image_processor",get label(){return be.t("controlnet.normalBae")},get description(){return be.t("controlnet.normalBaeDescription")},default:{id:"normalbae_image_processor",type:"normalbae_image_processor",detect_resolution:512,image_resolution:512}},openpose_image_processor:{type:"openpose_image_processor",get label(){return be.t("controlnet.openPose")},get description(){return be.t("controlnet.openPoseDescription")},default:{id:"openpose_image_processor",type:"openpose_image_processor",detect_resolution:512,image_resolution:512,hand_and_face:!1}},pidi_image_processor:{type:"pidi_image_processor",get label(){return be.t("controlnet.pidi")},get description(){return be.t("controlnet.pidiDescription")},default:{id:"pidi_image_processor",type:"pidi_image_processor",detect_resolution:512,image_resolution:512,scribble:!1,safe:!1}},zoe_depth_image_processor:{type:"zoe_depth_image_processor",get label(){return be.t("controlnet.depthZoe")},get description(){return be.t("controlnet.depthZoeDescription")},default:{id:"zoe_depth_image_processor",type:"zoe_depth_image_processor"}}},kv={canny:"canny_image_processor",mlsd:"mlsd_image_processor",depth:"midas_depth_image_processor",bae:"normalbae_image_processor",lineart:"lineart_image_processor",lineart_anime:"lineart_anime_image_processor",softedge:"hed_image_processor",shuffle:"content_shuffle_image_processor",openpose:"openpose_image_processor",mediapipe:"mediapipe_face_processor",pidi:"pidi_image_processor",zoe:"zoe_depth_image_processor",color:"color_map_image_processor"},UR={isEnabled:!0,model:null,weight:1,beginStepPct:0,endStepPct:1,controlMode:"balanced",resizeMode:"just_resize",controlImage:null,processedControlImage:null,processorType:"canny_image_processor",processorNode:Ef.canny_image_processor.default,shouldAutoConfig:!0},iU={adapterImage:null,model:null,weight:1,beginStepPct:0,endStepPct:1},wE={controlNets:{},isEnabled:!1,pendingControlImages:[],isIPAdapterEnabled:!1,ipAdapterInfo:{...iU}},oU=rr({name:"controlNet",initialState:wE,reducers:{isControlNetEnabledToggled:e=>{e.isEnabled=!e.isEnabled},controlNetEnabled:e=>{e.isEnabled=!0},controlNetAdded:(e,t)=>{const{controlNetId:n,controlNet:r}=t.payload;e.controlNets[n]={...r??UR,controlNetId:n}},controlNetRecalled:(e,t)=>{const n=t.payload;e.controlNets[n.controlNetId]={...n}},controlNetDuplicated:(e,t)=>{const{sourceControlNetId:n,newControlNetId:r}=t.payload,i=e.controlNets[n];if(!i)return;const o=Cn(i);o.controlNetId=r,e.controlNets[r]=o},controlNetAddedFromImage:(e,t)=>{const{controlNetId:n,controlImage:r}=t.payload;e.controlNets[n]={...UR,controlNetId:n,controlImage:r}},controlNetRemoved:(e,t)=>{const{controlNetId:n}=t.payload;delete e.controlNets[n]},controlNetIsEnabledChanged:(e,t)=>{const{controlNetId:n,isEnabled:r}=t.payload,i=e.controlNets[n];i&&(i.isEnabled=r)},controlNetImageChanged:(e,t)=>{const{controlNetId:n,controlImage:r}=t.payload,i=e.controlNets[n];i&&(i.controlImage=r,i.processedControlImage=null,r!==null&&i.processorType!=="none"&&e.pendingControlImages.push(n))},controlNetProcessedImageChanged:(e,t)=>{const{controlNetId:n,processedControlImage:r}=t.payload,i=e.controlNets[n];i&&(i.processedControlImage=r,e.pendingControlImages=e.pendingControlImages.filter(o=>o!==n))},controlNetModelChanged:(e,t)=>{const{controlNetId:n,model:r}=t.payload,i=e.controlNets[n];if(i&&(i.model=r,i.processedControlImage=null,i.shouldAutoConfig)){let o;for(const a in kv)if(r.model_name.includes(a)){o=kv[a];break}o?(i.processorType=o,i.processorNode=Ef[o].default):(i.processorType="none",i.processorNode=Ef.none.default)}},controlNetWeightChanged:(e,t)=>{const{controlNetId:n,weight:r}=t.payload,i=e.controlNets[n];i&&(i.weight=r)},controlNetBeginStepPctChanged:(e,t)=>{const{controlNetId:n,beginStepPct:r}=t.payload,i=e.controlNets[n];i&&(i.beginStepPct=r)},controlNetEndStepPctChanged:(e,t)=>{const{controlNetId:n,endStepPct:r}=t.payload,i=e.controlNets[n];i&&(i.endStepPct=r)},controlNetControlModeChanged:(e,t)=>{const{controlNetId:n,controlMode:r}=t.payload,i=e.controlNets[n];i&&(i.controlMode=r)},controlNetResizeModeChanged:(e,t)=>{const{controlNetId:n,resizeMode:r}=t.payload,i=e.controlNets[n];i&&(i.resizeMode=r)},controlNetProcessorParamsChanged:(e,t)=>{const{controlNetId:n,changes:r}=t.payload,i=e.controlNets[n];if(!i)return;const o=i.processorNode;i.processorNode={...o,...r},i.shouldAutoConfig=!1},controlNetProcessorTypeChanged:(e,t)=>{const{controlNetId:n,processorType:r}=t.payload,i=e.controlNets[n];i&&(i.processedControlImage=null,i.processorType=r,i.processorNode=Ef[r].default,i.shouldAutoConfig=!1)},controlNetAutoConfigToggled:(e,t)=>{var o;const{controlNetId:n}=t.payload,r=e.controlNets[n];if(!r)return;const i=!r.shouldAutoConfig;if(i){let a;for(const s in kv)if((o=r.model)!=null&&o.model_name.includes(s)){a=kv[s];break}a?(r.processorType=a,r.processorNode=Ef[a].default):(r.processorType="none",r.processorNode=Ef.none.default)}r.shouldAutoConfig=i},controlNetReset:()=>({...wE}),isIPAdapterEnabledChanged:(e,t)=>{e.isIPAdapterEnabled=t.payload},ipAdapterRecalled:(e,t)=>{e.ipAdapterInfo=t.payload},ipAdapterImageChanged:(e,t)=>{e.ipAdapterInfo.adapterImage=t.payload},ipAdapterWeightChanged:(e,t)=>{e.ipAdapterInfo.weight=t.payload},ipAdapterModelChanged:(e,t)=>{e.ipAdapterInfo.model=t.payload},ipAdapterBeginStepPctChanged:(e,t)=>{e.ipAdapterInfo.beginStepPct=t.payload},ipAdapterEndStepPctChanged:(e,t)=>{e.ipAdapterInfo.endStepPct=t.payload},ipAdapterStateReset:e=>{e.isIPAdapterEnabled=!1,e.ipAdapterInfo={...iU}},clearPendingControlImages:e=>{e.pendingControlImages=[]}},extraReducers:e=>{e.addCase(Qk,(t,n)=>{const r=t.controlNets[n.payload.controlNetId];r&&r.controlImage!==null&&t.pendingControlImages.push(n.payload.controlNetId)}),e.addCase(G2,t=>{t.pendingControlImages=[]}),e.addMatcher(ve.endpoints.deleteImage.matchFulfilled,(t,n)=>{const{image_name:r}=n.meta.arg.originalArgs;Ea(t.controlNets,i=>{i.controlImage===r&&(i.controlImage=null,i.processedControlImage=null),i.processedControlImage===r&&(i.processedControlImage=null)})})}}),{isControlNetEnabledToggled:aqe,controlNetEnabled:sqe,controlNetAdded:lqe,controlNetRecalled:uqe,controlNetDuplicated:cqe,controlNetAddedFromImage:dqe,controlNetRemoved:aU,controlNetImageChanged:Cc,controlNetProcessedImageChanged:Xk,controlNetIsEnabledChanged:sU,controlNetModelChanged:VR,controlNetWeightChanged:fqe,controlNetBeginStepPctChanged:hqe,controlNetEndStepPctChanged:pqe,controlNetControlModeChanged:gqe,controlNetResizeModeChanged:mqe,controlNetProcessorParamsChanged:m0e,controlNetProcessorTypeChanged:y0e,controlNetReset:v0e,controlNetAutoConfigToggled:GR,isIPAdapterEnabledChanged:lU,ipAdapterRecalled:yqe,ipAdapterImageChanged:q2,ipAdapterWeightChanged:vqe,ipAdapterModelChanged:qR,ipAdapterBeginStepPctChanged:bqe,ipAdapterEndStepPctChanged:_qe,ipAdapterStateReset:uU,clearPendingControlImages:b0e}=oU.actions,_0e=oU.reducer,S0e={imagesToDelete:[],isModalOpen:!1},cU=rr({name:"deleteImageModal",initialState:S0e,reducers:{isModalOpenChanged:(e,t)=>{e.isModalOpen=t.payload},imagesToDeleteSelected:(e,t)=>{e.imagesToDelete=t.payload},imageDeletionCanceled:e=>{e.imagesToDelete=[],e.isModalOpen=!1}}}),{isModalOpenChanged:Yk,imagesToDeleteSelected:x0e,imageDeletionCanceled:Sqe}=cU.actions,w0e=cU.reducer,Zk={maxPrompts:100,combinatorial:!0,prompts:[],parsingError:void 0,isError:!1,isLoading:!1,seedBehaviour:"PER_ITERATION"},C0e=Zk,dU=rr({name:"dynamicPrompts",initialState:C0e,reducers:{maxPromptsChanged:(e,t)=>{e.maxPrompts=t.payload},maxPromptsReset:e=>{e.maxPrompts=Zk.maxPrompts},combinatorialToggled:e=>{e.combinatorial=!e.combinatorial},promptsChanged:(e,t)=>{e.prompts=t.payload},parsingErrorChanged:(e,t)=>{e.parsingError=t.payload},isErrorChanged:(e,t)=>{e.isError=t.payload},isLoadingChanged:(e,t)=>{e.isLoading=t.payload},seedBehaviourChanged:(e,t)=>{e.seedBehaviour=t.payload}}}),{maxPromptsChanged:E0e,maxPromptsReset:T0e,combinatorialToggled:k0e,promptsChanged:A0e,parsingErrorChanged:P0e,isErrorChanged:HR,isLoadingChanged:MC,seedBehaviourChanged:xqe}=dU.actions,I0e=dU.reducer,fU={selection:[],shouldAutoSwitch:!0,autoAssignBoardOnClick:!0,autoAddBoardId:"none",galleryImageMinimumWidth:96,selectedBoardId:"none",galleryView:"images",boardSearchText:""},hU=rr({name:"gallery",initialState:fU,reducers:{imageSelected:(e,t)=>{e.selection=t.payload?[t.payload]:[]},selectionChanged:(e,t)=>{e.selection=tE(t.payload,n=>n.image_name)},shouldAutoSwitchChanged:(e,t)=>{e.shouldAutoSwitch=t.payload},setGalleryImageMinimumWidth:(e,t)=>{e.galleryImageMinimumWidth=t.payload},autoAssignBoardOnClickChanged:(e,t)=>{e.autoAssignBoardOnClick=t.payload},boardIdSelected:(e,t)=>{e.selectedBoardId=t.payload.boardId,e.galleryView="images"},autoAddBoardIdChanged:(e,t)=>{if(!t.payload){e.autoAddBoardId="none";return}e.autoAddBoardId=t.payload},galleryViewChanged:(e,t)=>{e.galleryView=t.payload},boardSearchTextChanged:(e,t)=>{e.boardSearchText=t.payload}},extraReducers:e=>{e.addMatcher(O0e,(t,n)=>{const r=n.meta.arg.originalArgs;r===t.selectedBoardId&&(t.selectedBoardId="none",t.galleryView="images"),r===t.autoAddBoardId&&(t.autoAddBoardId="none")}),e.addMatcher(Ft.endpoints.listAllBoards.matchFulfilled,(t,n)=>{const 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ix{constructor(t){this.canvas=t,lwe.Konva.enableTrace&&(this.traceArr=[],this._enableTrace())}fillShape(t){t.fillEnabled()&&this._fill(t)}_fill(t){}strokeShape(t){t.hasStroke()&&this._stroke(t)}_stroke(t){}fillStrokeShape(t){t.attrs.fillAfterStrokeEnabled?(this.strokeShape(t),this.fillShape(t)):(this.fillShape(t),this.strokeShape(t))}getTrace(t,n){var r=this.traceArr,i=r.length,o="",a,s,l,u;for(a=0;a<i;a++)s=r[a],l=s.method,l?(u=s.args,o+=l,t?o+=gwe:bG.Util._isArray(u[0])?o+=fwe+u.join(rO)+hwe:(n&&(u=u.map(c=>typeof c=="number"?Math.floor(c):c)),o+=cwe+u.join(rO)+dwe)):(o+=s.property,t||(o+=mwe+s.val)),o+=pwe;return o}clearTrace(){this.traceArr=[]}_trace(t){var n=this.traceArr,r;n.push(t),r=n.length,r>=vwe&&n.shift()}reset(){var t=this.getCanvas().getPixelRatio();this.setTransform(1*t,0,0,1*t,0,0)}getCanvas(){return this.canvas}clear(t){var n=this.getCanvas();t?this.clearRect(t.x||0,t.y||0,t.width||0,t.height||0):this.clearRect(0,0,n.getWidth()/n.pixelRatio,n.getHeight()/n.pixelRatio)}_applyLineCap(t){const n=t.attrs.lineCap;n&&this.setAttr("lineCap",n)}_applyOpacity(t){var n=t.getAbsoluteOpacity();n!==1&&this.setAttr("globalAlpha",n)}_applyLineJoin(t){const n=t.attrs.lineJoin;n&&this.setAttr("lineJoin",n)}setAttr(t,n){this._context[t]=n}arc(t,n,r,i,o,a){this._context.arc(t,n,r,i,o,a)}arcTo(t,n,r,i,o){this._context.arcTo(t,n,r,i,o)}beginPath(){this._context.beginPath()}bezierCurveTo(t,n,r,i,o,a){this._context.bezierCurveTo(t,n,r,i,o,a)}clearRect(t,n,r,i){this._context.clearRect(t,n,r,i)}clip(...t){this._context.clip.apply(this._context,t)}closePath(){this._context.closePath()}createImageData(t,n){var r=arguments;if(r.length===2)return this._context.createImageData(t,n);if(r.length===1)return this._context.createImageData(t)}createLinearGradient(t,n,r,i){return this._context.createLinearGradient(t,n,r,i)}createPattern(t,n){return this._context.createPattern(t,n)}createRadialGradient(t,n,r,i,o,a){return this._context.createRadialGradient(t,n,r,i,o,a)}drawImage(t,n,r,i,o,a,s,l,u){var c=arguments,d=this._context;c.length===3?d.drawImage(t,n,r):c.length===5?d.drawImage(t,n,r,i,o):c.length===9&&d.drawImage(t,n,r,i,o,a,s,l,u)}ellipse(t,n,r,i,o,a,s,l){this._context.ellipse(t,n,r,i,o,a,s,l)}isPointInPath(t,n,r,i){return r?this._context.isPointInPath(r,t,n,i):this._context.isPointInPath(t,n,i)}fill(...t){this._context.fill.apply(this._context,t)}fillRect(t,n,r,i){this._context.fillRect(t,n,r,i)}strokeRect(t,n,r,i){this._context.strokeRect(t,n,r,i)}fillText(t,n,r,i){i?this._context.fillText(t,n,r,i):this._context.fillText(t,n,r)}measureText(t){return this._context.measureText(t)}getImageData(t,n,r,i){return this._context.getImageData(t,n,r,i)}lineTo(t,n){this._context.lineTo(t,n)}moveTo(t,n){this._context.moveTo(t,n)}rect(t,n,r,i){this._context.rect(t,n,r,i)}putImageData(t,n,r){this._context.putImageData(t,n,r)}quadraticCurveTo(t,n,r,i){this._context.quadraticCurveTo(t,n,r,i)}restore(){this._context.restore()}rotate(t){this._context.rotate(t)}save(){this._context.save()}scale(t,n){this._context.scale(t,n)}setLineDash(t){this._context.setLineDash?this._context.setLineDash(t):"mozDash"in this._context?this._context.mozDash=t:"webkitLineDash"in this._context&&(this._context.webkitLineDash=t)}getLineDash(){return this._context.getLineDash()}setTransform(t,n,r,i,o,a){this._context.setTransform(t,n,r,i,o,a)}stroke(t){t?this._context.stroke(t):this._context.stroke()}strokeText(t,n,r,i){this._context.strokeText(t,n,r,i)}transform(t,n,r,i,o,a){this._context.transform(t,n,r,i,o,a)}translate(t,n){this._context.translate(t,n)}_enableTrace(){var t=this,n=iO.length,r=this.setAttr,i,o,a=function(s){var l=t[s],u;t[s]=function(){return o=uwe(Array.prototype.slice.call(arguments,0)),u=l.apply(t,arguments),t._trace({method:s,args:o}),u}};for(i=0;i<n;i++)a(iO[i]);t.setAttr=function(){r.apply(t,arguments);var s=arguments[0],l=arguments[1];(s==="shadowOffsetX"||s==="shadowOffsetY"||s==="shadowBlur")&&(l=l/this.canvas.getPixelRatio()),t._trace({property:s,val:l})}}_applyGlobalCompositeOperation(t){const n=t.attrs.globalCompositeOperation;var r=!n||n==="source-over";r||this.setAttr("globalCompositeOperation",n)}}Dl.Context=ix;ywe.forEach(function(e){Object.defineProperty(ix.prototype,e,{get(){return this._context[e]},set(t){this._context[e]=t}})});class bwe extends ix{constructor(t,{willReadFrequently:n=!1}={}){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:n})}_fillColor(t){var n=t.fill();this.setAttr("fillStyle",n),t._fillFunc(this)}_fillPattern(t){this.setAttr("fillStyle",t._getFillPattern()),t._fillFunc(this)}_fillLinearGradient(t){var n=t._getLinearGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fillRadialGradient(t){const n=t._getRadialGradient();n&&(this.setAttr("fillStyle",n),t._fillFunc(this))}_fill(t){const n=t.fill(),r=t.getFillPriority();if(n&&r==="color"){this._fillColor(t);return}const i=t.getFillPatternImage();if(i&&r==="pattern"){this._fillPattern(t);return}const o=t.getFillLinearGradientColorStops();if(o&&r==="linear-gradient"){this._fillLinearGradient(t);return}const a=t.getFillRadialGradientColorStops();if(a&&r==="radial-gradient"){this._fillRadialGradient(t);return}n?this._fillColor(t):i?this._fillPattern(t):o?this._fillLinearGradient(t):a&&this._fillRadialGradient(t)}_strokeLinearGradient(t){const n=t.getStrokeLinearGradientStartPoint(),r=t.getStrokeLinearGradientEndPoint(),i=t.getStrokeLinearGradientColorStops(),o=this.createLinearGradient(n.x,n.y,r.x,r.y);if(i){for(var a=0;a<i.length;a+=2)o.addColorStop(i[a],i[a+1]);this.setAttr("strokeStyle",o)}}_stroke(t){var n=t.dash(),r=t.getStrokeScaleEnabled();if(t.hasStroke()){if(!r){this.save();var i=this.getCanvas().getPixelRatio();this.setTransform(i,0,0,i,0,0)}this._applyLineCap(t),n&&t.dashEnabled()&&(this.setLineDash(n),this.setAttr("lineDashOffset",t.dashOffset())),this.setAttr("lineWidth",t.strokeWidth()),t.getShadowForStrokeEnabled()||this.setAttr("shadowColor","rgba(0,0,0,0)");var o=t.getStrokeLinearGradientColorStops();o?this._strokeLinearGradient(t):this.setAttr("strokeStyle",t.stroke()),t._strokeFunc(this),r||this.restore()}}_applyShadow(t){var n,r,i,o=(n=t.getShadowRGBA())!==null&&n!==void 0?n:"black",a=(r=t.getShadowBlur())!==null&&r!==void 0?r:5,s=(i=t.getShadowOffset())!==null&&i!==void 0?i:{x:0,y:0},l=t.getAbsoluteScale(),u=this.canvas.getPixelRatio(),c=l.x*u,d=l.y*u;this.setAttr("shadowColor",o),this.setAttr("shadowBlur",a*Math.min(Math.abs(c),Math.abs(d))),this.setAttr("shadowOffsetX",s.x*c),this.setAttr("shadowOffsetY",s.y*d)}}Dl.SceneContext=bwe;class _we extends ix{constructor(t){super(t),this._context=t._canvas.getContext("2d",{willReadFrequently:!0})}_fill(t){this.save(),this.setAttr("fillStyle",t.colorKey),t._fillFuncHit(this),this.restore()}strokeShape(t){t.hasHitStroke()&&this._stroke(t)}_stroke(t){if(t.hasHitStroke()){const o=t.getStrokeScaleEnabled();if(!o){this.save();var n=this.getCanvas().getPixelRatio();this.setTransform(n,0,0,n,0,0)}this._applyLineCap(t);var r=t.hitStrokeWidth(),i=r==="auto"?t.strokeWidth():r;this.setAttr("lineWidth",i),this.setAttr("strokeStyle",t.colorKey),t._strokeFuncHit(this),o||this.restore()}}}Dl.HitContext=_we;Object.defineProperty(os,"__esModule",{value:!0});os.HitCanvas=os.SceneCanvas=os.Canvas=void 0;const F_=fr,_G=Dl,SG=Rt,Swe=At,xwe=Xe;var Bv;function wwe(){if(Bv)return Bv;var e=F_.Util.createCanvasElement(),t=e.getContext("2d");return Bv=function(){var n=SG.Konva._global.devicePixelRatio||1,r=t.webkitBackingStorePixelRatio||t.mozBackingStorePixelRatio||t.msBackingStorePixelRatio||t.oBackingStorePixelRatio||t.backingStorePixelRatio||1;return n/r}(),F_.Util.releaseCanvas(e),Bv}class ox{constructor(t){this.pixelRatio=1,this.width=0,this.height=0,this.isCache=!1;var n=t||{},r=n.pixelRatio||SG.Konva.pixelRatio||wwe();this.pixelRatio=r,this._canvas=F_.Util.createCanvasElement(),this._canvas.style.padding="0",this._canvas.style.margin="0",this._canvas.style.border="0",this._canvas.style.background="transparent",this._canvas.style.position="absolute",this._canvas.style.top="0",this._canvas.style.left="0"}getContext(){return this.context}getPixelRatio(){return this.pixelRatio}setPixelRatio(t){var n=this.pixelRatio;this.pixelRatio=t,this.setSize(this.getWidth()/n,this.getHeight()/n)}setWidth(t){this.width=this._canvas.width=t*this.pixelRatio,this._canvas.style.width=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}setHeight(t){this.height=this._canvas.height=t*this.pixelRatio,this._canvas.style.height=t+"px";var n=this.pixelRatio,r=this.getContext()._context;r.scale(n,n)}getWidth(){return this.width}getHeight(){return this.height}setSize(t,n){this.setWidth(t||0),this.setHeight(n||0)}toDataURL(t,n){try{return this._canvas.toDataURL(t,n)}catch{try{return this._canvas.toDataURL()}catch(i){return F_.Util.error("Unable to get data URL. "+i.message+" For more info read https://konvajs.org/docs/posts/Tainted_Canvas.html."),""}}}}os.Canvas=ox;Swe.Factory.addGetterSetter(ox,"pixelRatio",void 0,(0,xwe.getNumberValidator)());class Cwe extends ox{constructor(t={width:0,height:0,willReadFrequently:!1}){super(t),this.context=new _G.SceneContext(this,{willReadFrequently:t.willReadFrequently}),this.setSize(t.width,t.height)}}os.SceneCanvas=Cwe;class Ewe extends ox{constructor(t={width:0,height:0}){super(t),this.hitCanvas=!0,this.context=new _G.HitContext(this),this.setSize(t.width,t.height)}}os.HitCanvas=Ewe;var ax={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.DD=void 0;const t=Rt,n=fr;e.DD={get isDragging(){var r=!1;return e.DD._dragElements.forEach(i=>{i.dragStatus==="dragging"&&(r=!0)}),r},justDragged:!1,get node(){var r;return e.DD._dragElements.forEach(i=>{r=i.node}),r},_dragElements:new Map,_drag(r){const i=[];e.DD._dragElements.forEach((o,a)=>{const{node:s}=o,l=s.getStage();l.setPointersPositions(r),o.pointerId===void 0&&(o.pointerId=n.Util._getFirstPointerId(r));const u=l._changedPointerPositions.find(f=>f.id===o.pointerId);if(u){if(o.dragStatus!=="dragging"){var c=s.dragDistance(),d=Math.max(Math.abs(u.x-o.startPointerPos.x),Math.abs(u.y-o.startPointerPos.y));if(d<c||(s.startDrag({evt:r}),!s.isDragging()))return}s._setDragPosition(r,o),i.push(s)}}),i.forEach(o=>{o.fire("dragmove",{type:"dragmove",target:o,evt:r},!0)})},_endDragBefore(r){const i=[];e.DD._dragElements.forEach(o=>{const{node:a}=o,s=a.getStage();if(r&&s.setPointersPositions(r),!s._changedPointerPositions.find(c=>c.id===o.pointerId))return;(o.dragStatus==="dragging"||o.dragStatus==="stopped")&&(e.DD.justDragged=!0,t.Konva._mouseListenClick=!1,t.Konva._touchListenClick=!1,t.Konva._pointerListenClick=!1,o.dragStatus="stopped");const u=o.node.getLayer()||o.node instanceof t.Konva.Stage&&o.node;u&&i.indexOf(u)===-1&&i.push(u)}),i.forEach(o=>{o.draw()})},_endDragAfter(r){e.DD._dragElements.forEach((i,o)=>{i.dragStatus==="stopped"&&i.node.fire("dragend",{type:"dragend",target:i.node,evt:r},!0),i.dragStatus!=="dragging"&&e.DD._dragElements.delete(o)})}},t.Konva.isBrowser&&(window.addEventListener("mouseup",e.DD._endDragBefore,!0),window.addEventListener("touchend",e.DD._endDragBefore,!0),window.addEventListener("mousemove",e.DD._drag),window.addEventListener("touchmove",e.DD._drag),window.addEventListener("mouseup",e.DD._endDragAfter,!1),window.addEventListener("touchend",e.DD._endDragAfter,!1))})(ax);Object.defineProperty(ir,"__esModule",{value:!0});ir.Node=void 0;const $t=fr,Cy=At,zv=os,Dc=Rt,la=ax,kr=Xe;var G1="absoluteOpacity",jv="allEventListeners",ml="absoluteTransform",oO="absoluteScale",Lc="canvas",Twe="Change",kwe="children",Awe="konva",KE="listening",aO="mouseenter",sO="mouseleave",lO="set",uO="Shape",q1=" ",cO="stage",mu="transform",Pwe="Stage",QE="visible",Iwe=["xChange.konva","yChange.konva","scaleXChange.konva","scaleYChange.konva","skewXChange.konva","skewYChange.konva","rotationChange.konva","offsetXChange.konva","offsetYChange.konva","transformsEnabledChange.konva"].join(q1);let Rwe=1;class ht{constructor(t){this._id=Rwe++,this.eventListeners={},this.attrs={},this.index=0,this._allEventListeners=null,this.parent=null,this._cache=new Map,this._attachedDepsListeners=new Map,this._lastPos=null,this._batchingTransformChange=!1,this._needClearTransformCache=!1,this._filterUpToDate=!1,this._isUnderCache=!1,this._dragEventId=null,this._shouldFireChangeEvents=!1,this.setAttrs(t),this._shouldFireChangeEvents=!0}hasChildren(){return!1}_clearCache(t){(t===mu||t===ml)&&this._cache.get(t)?this._cache.get(t).dirty=!0:t?this._cache.delete(t):this._cache.clear()}_getCache(t,n){var r=this._cache.get(t),i=t===mu||t===ml,o=r===void 0||i&&r.dirty===!0;return o&&(r=n.call(this),this._cache.set(t,r)),r}_calculate(t,n,r){if(!this._attachedDepsListeners.get(t)){const i=n.map(o=>o+"Change.konva").join(q1);this.on(i,()=>{this._clearCache(t)}),this._attachedDepsListeners.set(t,!0)}return this._getCache(t,r)}_getCanvasCache(){return this._cache.get(Lc)}_clearSelfAndDescendantCache(t){this._clearCache(t),t===ml&&this.fire("absoluteTransformChange")}clearCache(){if(this._cache.has(Lc)){const{scene:t,filter:n,hit:r}=this._cache.get(Lc);$t.Util.releaseCanvas(t,n,r),this._cache.delete(Lc)}return this._clearSelfAndDescendantCache(),this._requestDraw(),this}cache(t){var n=t||{},r={};(n.x===void 0||n.y===void 0||n.width===void 0||n.height===void 0)&&(r=this.getClientRect({skipTransform:!0,relativeTo:this.getParent()}));var i=Math.ceil(n.width||r.width),o=Math.ceil(n.height||r.height),a=n.pixelRatio,s=n.x===void 0?Math.floor(r.x):n.x,l=n.y===void 0?Math.floor(r.y):n.y,u=n.offset||0,c=n.drawBorder||!1,d=n.hitCanvasPixelRatio||1;if(!i||!o){$t.Util.error("Can not cache the node. Width or height of the node equals 0. Caching is skipped.");return}i+=u*2+1,o+=u*2+1,s-=u,l-=u;var f=new zv.SceneCanvas({pixelRatio:a,width:i,height:o}),h=new zv.SceneCanvas({pixelRatio:a,width:0,height:0,willReadFrequently:!0}),p=new zv.HitCanvas({pixelRatio:d,width:i,height:o}),m=f.getContext(),_=p.getContext();return p.isCache=!0,f.isCache=!0,this._cache.delete(Lc),this._filterUpToDate=!1,n.imageSmoothingEnabled===!1&&(f.getContext()._context.imageSmoothingEnabled=!1,h.getContext()._context.imageSmoothingEnabled=!1),m.save(),_.save(),m.translate(-s,-l),_.translate(-s,-l),this._isUnderCache=!0,this._clearSelfAndDescendantCache(G1),this._clearSelfAndDescendantCache(oO),this.drawScene(f,this),this.drawHit(p,this),this._isUnderCache=!1,m.restore(),_.restore(),c&&(m.save(),m.beginPath(),m.rect(0,0,i,o),m.closePath(),m.setAttr("strokeStyle","red"),m.setAttr("lineWidth",5),m.stroke(),m.restore()),this._cache.set(Lc,{scene:f,filter:h,hit:p,x:s,y:l}),this._requestDraw(),this}isCached(){return this._cache.has(Lc)}getClientRect(t){throw new Error('abstract "getClientRect" method call')}_transformedRect(t,n){var r=[{x:t.x,y:t.y},{x:t.x+t.width,y:t.y},{x:t.x+t.width,y:t.y+t.height},{x:t.x,y:t.y+t.height}],i,o,a,s,l=this.getAbsoluteTransform(n);return r.forEach(function(u){var c=l.point(u);i===void 0&&(i=a=c.x,o=s=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),a=Math.max(a,c.x),s=Math.max(s,c.y)}),{x:i,y:o,width:a-i,height:s-o}}_drawCachedSceneCanvas(t){t.save(),t._applyOpacity(this),t._applyGlobalCompositeOperation(this);const n=this._getCanvasCache();t.translate(n.x,n.y);var r=this._getCachedSceneCanvas(),i=r.pixelRatio;t.drawImage(r._canvas,0,0,r.width/i,r.height/i),t.restore()}_drawCachedHitCanvas(t){var n=this._getCanvasCache(),r=n.hit;t.save(),t.translate(n.x,n.y),t.drawImage(r._canvas,0,0,r.width/r.pixelRatio,r.height/r.pixelRatio),t.restore()}_getCachedSceneCanvas(){var t=this.filters(),n=this._getCanvasCache(),r=n.scene,i=n.filter,o=i.getContext(),a,s,l,u;if(t){if(!this._filterUpToDate){var c=r.pixelRatio;i.setSize(r.width/r.pixelRatio,r.height/r.pixelRatio);try{for(a=t.length,o.clear(),o.drawImage(r._canvas,0,0,r.getWidth()/c,r.getHeight()/c),s=o.getImageData(0,0,i.getWidth(),i.getHeight()),l=0;l<a;l++){if(u=t[l],typeof u!="function"){$t.Util.error("Filter should be type of function, but got "+typeof u+" instead. Please check correct filters");continue}u.call(this,s),o.putImageData(s,0,0)}}catch(d){$t.Util.error("Unable to apply filter. "+d.message+" This post my help you https://konvajs.org/docs/posts/Tainted_Canvas.html.")}this._filterUpToDate=!0}return i}return r}on(t,n){if(this._cache&&this._cache.delete(jv),arguments.length===3)return this._delegate.apply(this,arguments);var r=t.split(q1),i=r.length,o,a,s,l,u;for(o=0;o<i;o++)a=r[o],s=a.split("."),l=s[0],u=s[1]||"",this.eventListeners[l]||(this.eventListeners[l]=[]),this.eventListeners[l].push({name:u,handler:n});return this}off(t,n){var r=(t||"").split(q1),i=r.length,o,a,s,l,u,c;if(this._cache&&this._cache.delete(jv),!t)for(a in this.eventListeners)this._off(a);for(o=0;o<i;o++)if(s=r[o],l=s.split("."),u=l[0],c=l[1],u)this.eventListeners[u]&&this._off(u,c,n);else for(a in this.eventListeners)this._off(a,c,n);return this}dispatchEvent(t){var n={target:this,type:t.type,evt:t};return this.fire(t.type,n),this}addEventListener(t,n){return this.on(t,function(r){n.call(this,r.evt)}),this}removeEventListener(t){return this.off(t),this}_delegate(t,n,r){var i=this;this.on(t,function(o){for(var a=o.target.findAncestors(n,!0,i),s=0;s<a.length;s++)o=$t.Util.cloneObject(o),o.currentTarget=a[s],r.call(a[s],o)})}remove(){return this.isDragging()&&this.stopDrag(),la.DD._dragElements.delete(this._id),this._remove(),this}_clearCaches(){this._clearSelfAndDescendantCache(ml),this._clearSelfAndDescendantCache(G1),this._clearSelfAndDescendantCache(oO),this._clearSelfAndDescendantCache(cO),this._clearSelfAndDescendantCache(QE),this._clearSelfAndDescendantCache(KE)}_remove(){this._clearCaches();var t=this.getParent();t&&t.children&&(t.children.splice(this.index,1),t._setChildrenIndices(),this.parent=null)}destroy(){return this.remove(),this.clearCache(),this}getAttr(t){var n="get"+$t.Util._capitalize(t);return $t.Util._isFunction(this[n])?this[n]():this.attrs[t]}getAncestors(){for(var t=this.getParent(),n=[];t;)n.push(t),t=t.getParent();return n}getAttrs(){return this.attrs||{}}setAttrs(t){return this._batchTransformChanges(()=>{var n,r;if(!t)return this;for(n in t)n!==kwe&&(r=lO+$t.Util._capitalize(n),$t.Util._isFunction(this[r])?this[r](t[n]):this._setAttr(n,t[n]))}),this}isListening(){return this._getCache(KE,this._isListening)}_isListening(t){if(!this.listening())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isListening(t):!0}isVisible(){return this._getCache(QE,this._isVisible)}_isVisible(t){if(!this.visible())return!1;const r=this.getParent();return r&&r!==t&&this!==t?r._isVisible(t):!0}shouldDrawHit(t,n=!1){if(t)return this._isVisible(t)&&this._isListening(t);var r=this.getLayer(),i=!1;la.DD._dragElements.forEach(a=>{a.dragStatus==="dragging"&&(a.node.nodeType==="Stage"||a.node.getLayer()===r)&&(i=!0)});var o=!n&&!Dc.Konva.hitOnDragEnabled&&i;return this.isListening()&&this.isVisible()&&!o}show(){return this.visible(!0),this}hide(){return this.visible(!1),this}getZIndex(){return this.index||0}getAbsoluteZIndex(){var t=this.getDepth(),n=this,r=0,i,o,a,s;function l(u){for(i=[],o=u.length,a=0;a<o;a++)s=u[a],r++,s.nodeType!==uO&&(i=i.concat(s.getChildren().slice())),s._id===n._id&&(a=o);i.length>0&&i[0].getDepth()<=t&&l(i)}return n.nodeType!==Pwe&&l(n.getStage().getChildren()),r}getDepth(){for(var t=0,n=this.parent;n;)t++,n=n.parent;return t}_batchTransformChanges(t){this._batchingTransformChange=!0,t(),this._batchingTransformChange=!1,this._needClearTransformCache&&(this._clearCache(mu),this._clearSelfAndDescendantCache(ml)),this._needClearTransformCache=!1}setPosition(t){return this._batchTransformChanges(()=>{this.x(t.x),this.y(t.y)}),this}getPosition(){return{x:this.x(),y:this.y()}}getRelativePointerPosition(){if(!this.getStage())return null;var t=this.getStage().getPointerPosition();if(!t)return null;var n=this.getAbsoluteTransform().copy();return n.invert(),n.point(t)}getAbsolutePosition(t){let n=!1,r=this.parent;for(;r;){if(r.isCached()){n=!0;break}r=r.parent}n&&!t&&(t=!0);var i=this.getAbsoluteTransform(t).getMatrix(),o=new $t.Transform,a=this.offset();return o.m=i.slice(),o.translate(a.x,a.y),o.getTranslation()}setAbsolutePosition(t){var n=this._clearTransform();this.attrs.x=n.x,this.attrs.y=n.y,delete n.x,delete n.y,this._clearCache(mu);var r=this._getAbsoluteTransform().copy();return r.invert(),r.translate(t.x,t.y),t={x:this.attrs.x+r.getTranslation().x,y:this.attrs.y+r.getTranslation().y},this._setTransform(n),this.setPosition({x:t.x,y:t.y}),this._clearCache(mu),this._clearSelfAndDescendantCache(ml),this}_setTransform(t){var n;for(n in t)this.attrs[n]=t[n]}_clearTransform(){var t={x:this.x(),y:this.y(),rotation:this.rotation(),scaleX:this.scaleX(),scaleY:this.scaleY(),offsetX:this.offsetX(),offsetY:this.offsetY(),skewX:this.skewX(),skewY:this.skewY()};return this.attrs.x=0,this.attrs.y=0,this.attrs.rotation=0,this.attrs.scaleX=1,this.attrs.scaleY=1,this.attrs.offsetX=0,this.attrs.offsetY=0,this.attrs.skewX=0,this.attrs.skewY=0,t}move(t){var n=t.x,r=t.y,i=this.x(),o=this.y();return n!==void 0&&(i+=n),r!==void 0&&(o+=r),this.setPosition({x:i,y:o}),this}_eachAncestorReverse(t,n){var r=[],i=this.getParent(),o,a;if(!(n&&n._id===this._id)){for(r.unshift(this);i&&(!n||i._id!==n._id);)r.unshift(i),i=i.parent;for(o=r.length,a=0;a<o;a++)t(r[a])}}rotate(t){return this.rotation(this.rotation()+t),this}moveToTop(){if(!this.parent)return $t.Util.warn("Node has no parent. moveToTop function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.push(this),this.parent._setChildrenIndices(),!0):!1}moveUp(){if(!this.parent)return $t.Util.warn("Node has no parent. moveUp function is ignored."),!1;var t=this.index,n=this.parent.getChildren().length;return t<n-1?(this.parent.children.splice(t,1),this.parent.children.splice(t+1,0,this),this.parent._setChildrenIndices(),!0):!1}moveDown(){if(!this.parent)return $t.Util.warn("Node has no parent. moveDown function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.splice(t-1,0,this),this.parent._setChildrenIndices(),!0):!1}moveToBottom(){if(!this.parent)return $t.Util.warn("Node has no parent. moveToBottom function is ignored."),!1;var t=this.index;return t>0?(this.parent.children.splice(t,1),this.parent.children.unshift(this),this.parent._setChildrenIndices(),!0):!1}setZIndex(t){if(!this.parent)return $t.Util.warn("Node has no parent. zIndex parameter is ignored."),this;(t<0||t>=this.parent.children.length)&&$t.Util.warn("Unexpected value "+t+" for zIndex property. zIndex is just index of a node in children of its parent. Expected value is from 0 to "+(this.parent.children.length-1)+".");var n=this.index;return this.parent.children.splice(n,1),this.parent.children.splice(t,0,this),this.parent._setChildrenIndices(),this}getAbsoluteOpacity(){return this._getCache(G1,this._getAbsoluteOpacity)}_getAbsoluteOpacity(){var t=this.opacity(),n=this.getParent();return n&&!n._isUnderCache&&(t*=n.getAbsoluteOpacity()),t}moveTo(t){return this.getParent()!==t&&(this._remove(),t.add(this)),this}toObject(){var t={},n=this.getAttrs(),r,i,o,a,s;t.attrs={};for(r in n)i=n[r],s=$t.Util.isObject(i)&&!$t.Util._isPlainObject(i)&&!$t.Util._isArray(i),!s&&(o=typeof this[r]=="function"&&this[r],delete n[r],a=o?o.call(this):null,n[r]=i,a!==i&&(t.attrs[r]=i));return t.className=this.getClassName(),$t.Util._prepareToStringify(t)}toJSON(){return JSON.stringify(this.toObject())}getParent(){return this.parent}findAncestors(t,n,r){var i=[];n&&this._isMatch(t)&&i.push(this);for(var o=this.parent;o;){if(o===r)return i;o._isMatch(t)&&i.push(o),o=o.parent}return i}isAncestorOf(t){return!1}findAncestor(t,n,r){return this.findAncestors(t,n,r)[0]}_isMatch(t){if(!t)return!1;if(typeof t=="function")return t(this);var n=t.replace(/ /g,"").split(","),r=n.length,i,o;for(i=0;i<r;i++)if(o=n[i],$t.Util.isValidSelector(o)||($t.Util.warn('Selector "'+o+'" is invalid. Allowed selectors examples are "#foo", ".bar" or "Group".'),$t.Util.warn('If you have a custom shape with such className, please change it to start with upper letter like "Triangle".'),$t.Util.warn("Konva is awesome, right?")),o.charAt(0)==="#"){if(this.id()===o.slice(1))return!0}else if(o.charAt(0)==="."){if(this.hasName(o.slice(1)))return!0}else if(this.className===o||this.nodeType===o)return!0;return!1}getLayer(){var t=this.getParent();return t?t.getLayer():null}getStage(){return this._getCache(cO,this._getStage)}_getStage(){var t=this.getParent();if(t)return t.getStage()}fire(t,n={},r){return n.target=n.target||this,r?this._fireAndBubble(t,n):this._fire(t,n),this}getAbsoluteTransform(t){return t?this._getAbsoluteTransform(t):this._getCache(ml,this._getAbsoluteTransform)}_getAbsoluteTransform(t){var n;if(t)return n=new $t.Transform,this._eachAncestorReverse(function(i){var o=i.transformsEnabled();o==="all"?n.multiply(i.getTransform()):o==="position"&&n.translate(i.x()-i.offsetX(),i.y()-i.offsetY())},t),n;n=this._cache.get(ml)||new $t.Transform,this.parent?this.parent.getAbsoluteTransform().copyInto(n):n.reset();var r=this.transformsEnabled();if(r==="all")n.multiply(this.getTransform());else if(r==="position"){const i=this.attrs.x||0,o=this.attrs.y||0,a=this.attrs.offsetX||0,s=this.attrs.offsetY||0;n.translate(i-a,o-s)}return n.dirty=!1,n}getAbsoluteScale(t){for(var n=this;n;)n._isUnderCache&&(t=n),n=n.getParent();const i=this.getAbsoluteTransform(t).decompose();return{x:i.scaleX,y:i.scaleY}}getAbsoluteRotation(){return this.getAbsoluteTransform().decompose().rotation}getTransform(){return this._getCache(mu,this._getTransform)}_getTransform(){var t,n,r=this._cache.get(mu)||new $t.Transform;r.reset();var i=this.x(),o=this.y(),a=Dc.Konva.getAngle(this.rotation()),s=(t=this.attrs.scaleX)!==null&&t!==void 0?t:1,l=(n=this.attrs.scaleY)!==null&&n!==void 0?n:1,u=this.attrs.skewX||0,c=this.attrs.skewY||0,d=this.attrs.offsetX||0,f=this.attrs.offsetY||0;return(i!==0||o!==0)&&r.translate(i,o),a!==0&&r.rotate(a),(u!==0||c!==0)&&r.skew(u,c),(s!==1||l!==1)&&r.scale(s,l),(d!==0||f!==0)&&r.translate(-1*d,-1*f),r.dirty=!1,r}clone(t){var n=$t.Util.cloneObject(this.attrs),r,i,o,a,s;for(r in t)n[r]=t[r];var l=new this.constructor(n);for(r in this.eventListeners)for(i=this.eventListeners[r],o=i.length,a=0;a<o;a++)s=i[a],s.name.indexOf(Awe)<0&&(l.eventListeners[r]||(l.eventListeners[r]=[]),l.eventListeners[r].push(s));return l}_toKonvaCanvas(t){t=t||{};var n=this.getClientRect(),r=this.getStage(),i=t.x!==void 0?t.x:Math.floor(n.x),o=t.y!==void 0?t.y:Math.floor(n.y),a=t.pixelRatio||1,s=new zv.SceneCanvas({width:t.width||Math.ceil(n.width)||(r?r.width():0),height:t.height||Math.ceil(n.height)||(r?r.height():0),pixelRatio:a}),l=s.getContext();return t.imageSmoothingEnabled===!1&&(l._context.imageSmoothingEnabled=!1),l.save(),(i||o)&&l.translate(-1*i,-1*o),this.drawScene(s),l.restore(),s}toCanvas(t){return this._toKonvaCanvas(t)._canvas}toDataURL(t){t=t||{};var n=t.mimeType||null,r=t.quality||null,i=this._toKonvaCanvas(t).toDataURL(n,r);return t.callback&&t.callback(i),i}toImage(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,$t.Util._urlToImage(this.toDataURL(t),function(o){n(o),i==null||i(o)})}catch(i){r(i)}})}toBlob(t){return new Promise((n,r)=>{try{const i=t==null?void 0:t.callback;i&&delete t.callback,this.toCanvas(t).toBlob(o=>{n(o),i==null||i(o)})}catch(i){r(i)}})}setSize(t){return this.width(t.width),this.height(t.height),this}getSize(){return{width:this.width(),height:this.height()}}getClassName(){return this.className||this.nodeType}getType(){return this.nodeType}getDragDistance(){return this.attrs.dragDistance!==void 0?this.attrs.dragDistance:this.parent?this.parent.getDragDistance():Dc.Konva.dragDistance}_off(t,n,r){var i=this.eventListeners[t],o,a,s;for(o=0;o<i.length;o++)if(a=i[o].name,s=i[o].handler,(a!=="konva"||n==="konva")&&(!n||a===n)&&(!r||r===s)){if(i.splice(o,1),i.length===0){delete this.eventListeners[t];break}o--}}_fireChangeEvent(t,n,r){this._fire(t+Twe,{oldVal:n,newVal:r})}addName(t){if(!this.hasName(t)){var n=this.name(),r=n?n+" "+t:t;this.name(r)}return this}hasName(t){if(!t)return!1;const n=this.name();if(!n)return!1;var r=(n||"").split(/\s/g);return r.indexOf(t)!==-1}removeName(t){var n=(this.name()||"").split(/\s/g),r=n.indexOf(t);return r!==-1&&(n.splice(r,1),this.name(n.join(" "))),this}setAttr(t,n){var r=this[lO+$t.Util._capitalize(t)];return $t.Util._isFunction(r)?r.call(this,n):this._setAttr(t,n),this}_requestDraw(){if(Dc.Konva.autoDrawEnabled){const t=this.getLayer()||this.getStage();t==null||t.batchDraw()}}_setAttr(t,n){var r=this.attrs[t];r===n&&!$t.Util.isObject(n)||(n==null?delete this.attrs[t]:this.attrs[t]=n,this._shouldFireChangeEvents&&this._fireChangeEvent(t,r,n),this._requestDraw())}_setComponentAttr(t,n,r){var i;r!==void 0&&(i=this.attrs[t],i||(this.attrs[t]=this.getAttr(t)),this.attrs[t][n]=r,this._fireChangeEvent(t,i,r))}_fireAndBubble(t,n,r){n&&this.nodeType===uO&&(n.target=this);var i=(t===aO||t===sO)&&(r&&(this===r||this.isAncestorOf&&this.isAncestorOf(r))||this.nodeType==="Stage"&&!r);if(!i){this._fire(t,n);var o=(t===aO||t===sO)&&r&&r.isAncestorOf&&r.isAncestorOf(this)&&!r.isAncestorOf(this.parent);(n&&!n.cancelBubble||!n)&&this.parent&&this.parent.isListening()&&!o&&(r&&r.parent?this._fireAndBubble.call(this.parent,t,n,r):this._fireAndBubble.call(this.parent,t,n))}}_getProtoListeners(t){var n,r,i;const o=(n=this._cache.get(jv))!==null&&n!==void 0?n:{};let a=o==null?void 0:o[t];if(a===void 0){a=[];let s=Object.getPrototypeOf(this);for(;s;){const l=(i=(r=s.eventListeners)===null||r===void 0?void 0:r[t])!==null&&i!==void 0?i:[];a.push(...l),s=Object.getPrototypeOf(s)}o[t]=a,this._cache.set(jv,o)}return a}_fire(t,n){n=n||{},n.currentTarget=this,n.type=t;const r=this._getProtoListeners(t);if(r)for(var i=0;i<r.length;i++)r[i].handler.call(this,n);const o=this.eventListeners[t];if(o)for(var i=0;i<o.length;i++)o[i].handler.call(this,n)}draw(){return this.drawScene(),this.drawHit(),this}_createDragElement(t){var n=t?t.pointerId:void 0,r=this.getStage(),i=this.getAbsolutePosition(),o=r._getPointerById(n)||r._changedPointerPositions[0]||i;la.DD._dragElements.set(this._id,{node:this,startPointerPos:o,offset:{x:o.x-i.x,y:o.y-i.y},dragStatus:"ready",pointerId:n})}startDrag(t,n=!0){la.DD._dragElements.has(this._id)||this._createDragElement(t);const r=la.DD._dragElements.get(this._id);r.dragStatus="dragging",this.fire("dragstart",{type:"dragstart",target:this,evt:t&&t.evt},n)}_setDragPosition(t,n){const r=this.getStage()._getPointerById(n.pointerId);if(r){var i={x:r.x-n.offset.x,y:r.y-n.offset.y},o=this.dragBoundFunc();if(o!==void 0){const a=o.call(this,i,t);a?i=a:$t.Util.warn("dragBoundFunc did not return any value. That is unexpected behavior. You must return new absolute position from dragBoundFunc.")}(!this._lastPos||this._lastPos.x!==i.x||this._lastPos.y!==i.y)&&(this.setAbsolutePosition(i),this._requestDraw()),this._lastPos=i}}stopDrag(t){const n=la.DD._dragElements.get(this._id);n&&(n.dragStatus="stopped"),la.DD._endDragBefore(t),la.DD._endDragAfter(t)}setDraggable(t){this._setAttr("draggable",t),this._dragChange()}isDragging(){const t=la.DD._dragElements.get(this._id);return t?t.dragStatus==="dragging":!1}_listenDrag(){this._dragCleanup(),this.on("mousedown.konva touchstart.konva",function(t){var n=t.evt.button!==void 0,r=!n||Dc.Konva.dragButtons.indexOf(t.evt.button)>=0;if(r&&!this.isDragging()){var i=!1;la.DD._dragElements.forEach(o=>{this.isAncestorOf(o.node)&&(i=!0)}),i||this._createDragElement(t)}})}_dragChange(){if(this.attrs.draggable)this._listenDrag();else{this._dragCleanup();var t=this.getStage();if(!t)return;const n=la.DD._dragElements.get(this._id),r=n&&n.dragStatus==="dragging",i=n&&n.dragStatus==="ready";r?this.stopDrag():i&&la.DD._dragElements.delete(this._id)}}_dragCleanup(){this.off("mousedown.konva"),this.off("touchstart.konva")}isClientRectOnScreen(t={x:0,y:0}){const n=this.getStage();if(!n)return!1;const r={x:-t.x,y:-t.y,width:n.width()+2*t.x,height:n.height()+2*t.y};return $t.Util.haveIntersection(r,this.getClientRect())}static create(t,n){return $t.Util._isString(t)&&(t=JSON.parse(t)),this._createNode(t,n)}static _createNode(t,n){var r=ht.prototype.getClassName.call(t),i=t.children,o,a,s;n&&(t.attrs.container=n),Dc.Konva[r]||($t.Util.warn('Can not find a node with class name "'+r+'". Fallback to "Shape".'),r="Shape");const l=Dc.Konva[r];if(o=new l(t.attrs),i)for(a=i.length,s=0;s<a;s++)o.add(ht._createNode(i[s]));return o}}ir.Node=ht;ht.prototype.nodeType="Node";ht.prototype._attrsAffectingSize=[];ht.prototype.eventListeners={};ht.prototype.on.call(ht.prototype,Iwe,function(){if(this._batchingTransformChange){this._needClearTransformCache=!0;return}this._clearCache(mu),this._clearSelfAndDescendantCache(ml)});ht.prototype.on.call(ht.prototype,"visibleChange.konva",function(){this._clearSelfAndDescendantCache(QE)});ht.prototype.on.call(ht.prototype,"listeningChange.konva",function(){this._clearSelfAndDescendantCache(KE)});ht.prototype.on.call(ht.prototype,"opacityChange.konva",function(){this._clearSelfAndDescendantCache(G1)});const Rn=Cy.Factory.addGetterSetter;Rn(ht,"zIndex");Rn(ht,"absolutePosition");Rn(ht,"position");Rn(ht,"x",0,(0,kr.getNumberValidator)());Rn(ht,"y",0,(0,kr.getNumberValidator)());Rn(ht,"globalCompositeOperation","source-over",(0,kr.getStringValidator)());Rn(ht,"opacity",1,(0,kr.getNumberValidator)());Rn(ht,"name","",(0,kr.getStringValidator)());Rn(ht,"id","",(0,kr.getStringValidator)());Rn(ht,"rotation",0,(0,kr.getNumberValidator)());Cy.Factory.addComponentsGetterSetter(ht,"scale",["x","y"]);Rn(ht,"scaleX",1,(0,kr.getNumberValidator)());Rn(ht,"scaleY",1,(0,kr.getNumberValidator)());Cy.Factory.addComponentsGetterSetter(ht,"skew",["x","y"]);Rn(ht,"skewX",0,(0,kr.getNumberValidator)());Rn(ht,"skewY",0,(0,kr.getNumberValidator)());Cy.Factory.addComponentsGetterSetter(ht,"offset",["x","y"]);Rn(ht,"offsetX",0,(0,kr.getNumberValidator)());Rn(ht,"offsetY",0,(0,kr.getNumberValidator)());Rn(ht,"dragDistance",null,(0,kr.getNumberValidator)());Rn(ht,"width",0,(0,kr.getNumberValidator)());Rn(ht,"height",0,(0,kr.getNumberValidator)());Rn(ht,"listening",!0,(0,kr.getBooleanValidator)());Rn(ht,"preventDefault",!0,(0,kr.getBooleanValidator)());Rn(ht,"filters",null,function(e){return this._filterUpToDate=!1,e});Rn(ht,"visible",!0,(0,kr.getBooleanValidator)());Rn(ht,"transformsEnabled","all",(0,kr.getStringValidator)());Rn(ht,"size");Rn(ht,"dragBoundFunc");Rn(ht,"draggable",!1,(0,kr.getBooleanValidator)());Cy.Factory.backCompat(ht,{rotateDeg:"rotate",setRotationDeg:"setRotation",getRotationDeg:"getRotation"});var Gd={};Object.defineProperty(Gd,"__esModule",{value:!0});Gd.Container=void 0;const Sp=At,KC=ir,sx=Xe;let qd=class extends KC.Node{constructor(){super(...arguments),this.children=[]}getChildren(t){if(!t)return this.children||[];const n=this.children||[];var r=[];return n.forEach(function(i){t(i)&&r.push(i)}),r}hasChildren(){return this.getChildren().length>0}removeChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.remove()}),this.children=[],this._requestDraw(),this}destroyChildren(){return this.getChildren().forEach(t=>{t.parent=null,t.index=0,t.destroy()}),this.children=[],this._requestDraw(),this}add(...t){if(t.length===0)return this;if(t.length>1){for(var n=0;n<t.length;n++)this.add(t[n]);return this}const r=t[0];return r.getParent()?(r.moveTo(this),this):(this._validateAdd(r),r.index=this.getChildren().length,r.parent=this,r._clearCaches(),this.getChildren().push(r),this._fire("add",{child:r}),this._requestDraw(),this)}destroy(){return this.hasChildren()&&this.destroyChildren(),super.destroy(),this}find(t){return this._generalFind(t,!1)}findOne(t){var n=this._generalFind(t,!0);return n.length>0?n[0]:void 0}_generalFind(t,n){var r=[];return this._descendants(i=>{const o=i._isMatch(t);return o&&r.push(i),!!(o&&n)}),r}_descendants(t){let n=!1;const r=this.getChildren();for(const i of r){if(n=t(i),n)return!0;if(i.hasChildren()&&(n=i._descendants(t),n))return!0}return!1}toObject(){var t=KC.Node.prototype.toObject.call(this);return t.children=[],this.getChildren().forEach(n=>{t.children.push(n.toObject())}),t}isAncestorOf(t){for(var n=t.getParent();n;){if(n._id===this._id)return!0;n=n.getParent()}return!1}clone(t){var n=KC.Node.prototype.clone.call(this,t);return this.getChildren().forEach(function(r){n.add(r.clone())}),n}getAllIntersections(t){var n=[];return this.find("Shape").forEach(function(r){r.isVisible()&&r.intersects(t)&&n.push(r)}),n}_clearSelfAndDescendantCache(t){var n;super._clearSelfAndDescendantCache(t),!this.isCached()&&((n=this.children)===null||n===void 0||n.forEach(function(r){r._clearSelfAndDescendantCache(t)}))}_setChildrenIndices(){var t;(t=this.children)===null||t===void 0||t.forEach(function(n,r){n.index=r}),this._requestDraw()}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas(),o=i&&i.getContext(),a=this._getCanvasCache(),s=a&&a.scene,l=i&&i.isCache;if(!this.isVisible()&&!l)return this;if(s){o.save();var u=this.getAbsoluteTransform(n).getMatrix();o.transform(u[0],u[1],u[2],u[3],u[4],u[5]),this._drawCachedSceneCanvas(o),o.restore()}else this._drawChildren("drawScene",i,n);return this}drawHit(t,n){if(!this.shouldDrawHit(n))return this;var r=this.getLayer(),i=t||r&&r.hitCanvas,o=i&&i.getContext(),a=this._getCanvasCache(),s=a&&a.hit;if(s){o.save();var l=this.getAbsoluteTransform(n).getMatrix();o.transform(l[0],l[1],l[2],l[3],l[4],l[5]),this._drawCachedHitCanvas(o),o.restore()}else this._drawChildren("drawHit",i,n);return this}_drawChildren(t,n,r){var i,o=n&&n.getContext(),a=this.clipWidth(),s=this.clipHeight(),l=this.clipFunc(),u=a&&s||l;const c=r===this;if(u){o.save();var d=this.getAbsoluteTransform(r),f=d.getMatrix();o.transform(f[0],f[1],f[2],f[3],f[4],f[5]),o.beginPath();let _;if(l)_=l.call(this,o,this);else{var h=this.clipX(),p=this.clipY();o.rect(h,p,a,s)}o.clip.apply(o,_),f=d.copy().invert().getMatrix(),o.transform(f[0],f[1],f[2],f[3],f[4],f[5])}var m=!c&&this.globalCompositeOperation()!=="source-over"&&t==="drawScene";m&&(o.save(),o._applyGlobalCompositeOperation(this)),(i=this.children)===null||i===void 0||i.forEach(function(_){_[t](n,r)}),m&&o.restore(),u&&o.restore()}getClientRect(t){var n;t=t||{};var r=t.skipTransform,i=t.relativeTo,o,a,s,l,u={x:1/0,y:1/0,width:0,height:0},c=this;(n=this.children)===null||n===void 0||n.forEach(function(m){if(m.visible()){var _=m.getClientRect({relativeTo:c,skipShadow:t.skipShadow,skipStroke:t.skipStroke});_.width===0&&_.height===0||(o===void 0?(o=_.x,a=_.y,s=_.x+_.width,l=_.y+_.height):(o=Math.min(o,_.x),a=Math.min(a,_.y),s=Math.max(s,_.x+_.width),l=Math.max(l,_.y+_.height)))}});for(var d=this.find("Shape"),f=!1,h=0;h<d.length;h++){var p=d[h];if(p._isVisible(this)){f=!0;break}}return f&&o!==void 0?u={x:o,y:a,width:s-o,height:l-a}:u={x:0,y:0,width:0,height:0},r?u:this._transformedRect(u,i)}};Gd.Container=qd;Sp.Factory.addComponentsGetterSetter(qd,"clip",["x","y","width","height"]);Sp.Factory.addGetterSetter(qd,"clipX",void 0,(0,sx.getNumberValidator)());Sp.Factory.addGetterSetter(qd,"clipY",void 0,(0,sx.getNumberValidator)());Sp.Factory.addGetterSetter(qd,"clipWidth",void 0,(0,sx.getNumberValidator)());Sp.Factory.addGetterSetter(qd,"clipHeight",void 0,(0,sx.getNumberValidator)());Sp.Factory.addGetterSetter(qd,"clipFunc");var xG={},qo={};Object.defineProperty(qo,"__esModule",{value:!0});qo.releaseCapture=qo.setPointerCapture=qo.hasPointerCapture=qo.createEvent=qo.getCapturedShape=void 0;const Owe=Rt,b0=new Map,wG=Owe.Konva._global.PointerEvent!==void 0;function Mwe(e){return b0.get(e)}qo.getCapturedShape=Mwe;function SA(e){return{evt:e,pointerId:e.pointerId}}qo.createEvent=SA;function Nwe(e,t){return b0.get(e)===t}qo.hasPointerCapture=Nwe;function $we(e,t){CG(e),t.getStage()&&(b0.set(e,t),wG&&t._fire("gotpointercapture",SA(new PointerEvent("gotpointercapture"))))}qo.setPointerCapture=$we;function CG(e,t){const n=b0.get(e);if(!n)return;const r=n.getStage();r&&r.content,b0.delete(e),wG&&n._fire("lostpointercapture",SA(new PointerEvent("lostpointercapture")))}qo.releaseCapture=CG;(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Stage=e.stages=void 0;const t=fr,n=At,r=Gd,i=Rt,o=os,a=ax,s=Rt,l=qo;var u="Stage",c="string",d="px",f="mouseout",h="mouseleave",p="mouseover",m="mouseenter",_="mousemove",b="mousedown",y="mouseup",g="pointermove",v="pointerdown",S="pointerup",w="pointercancel",x="lostpointercapture",C="pointerout",k="pointerleave",T="pointerover",P="pointerenter",$="contextmenu",O="touchstart",E="touchend",A="touchmove",D="touchcancel",L="wheel",M=5,R=[[m,"_pointerenter"],[b,"_pointerdown"],[_,"_pointermove"],[y,"_pointerup"],[h,"_pointerleave"],[O,"_pointerdown"],[A,"_pointermove"],[E,"_pointerup"],[D,"_pointercancel"],[p,"_pointerover"],[L,"_wheel"],[$,"_contextmenu"],[v,"_pointerdown"],[g,"_pointermove"],[S,"_pointerup"],[w,"_pointercancel"],[x,"_lostpointercapture"]];const N={mouse:{[C]:f,[k]:h,[T]:p,[P]:m,[g]:_,[v]:b,[S]:y,[w]:"mousecancel",pointerclick:"click",pointerdblclick:"dblclick"},touch:{[C]:"touchout",[k]:"touchleave",[T]:"touchover",[P]:"touchenter",[g]:A,[v]:O,[S]:E,[w]:D,pointerclick:"tap",pointerdblclick:"dbltap"},pointer:{[C]:C,[k]:k,[T]:T,[P]:P,[g]:g,[v]:v,[S]:S,[w]:w,pointerclick:"pointerclick",pointerdblclick:"pointerdblclick"}},B=J=>J.indexOf("pointer")>=0?"pointer":J.indexOf("touch")>=0?"touch":"mouse",U=J=>{const j=B(J);if(j==="pointer")return i.Konva.pointerEventsEnabled&&N.pointer;if(j==="touch")return N.touch;if(j==="mouse")return N.mouse};function G(J={}){return(J.clipFunc||J.clipWidth||J.clipHeight)&&t.Util.warn("Stage does not support clipping. Please use clip for Layers or Groups."),J}const Z="Pointer position is missing and not registered by the stage. Looks like it is outside of the stage container. You can set it manually from event: stage.setPointersPositions(event);";e.stages=[];class ee extends r.Container{constructor(j){super(G(j)),this._pointerPositions=[],this._changedPointerPositions=[],this._buildDOM(),this._bindContentEvents(),e.stages.push(this),this.on("widthChange.konva heightChange.konva",this._resizeDOM),this.on("visibleChange.konva",this._checkVisibility),this.on("clipWidthChange.konva clipHeightChange.konva clipFuncChange.konva",()=>{G(this.attrs)}),this._checkVisibility()}_validateAdd(j){const Q=j.getType()==="Layer",ne=j.getType()==="FastLayer";Q||ne||t.Util.throw("You may only add layers to the stage.")}_checkVisibility(){if(!this.content)return;const j=this.visible()?"":"none";this.content.style.display=j}setContainer(j){if(typeof j===c){if(j.charAt(0)==="."){var Q=j.slice(1);j=document.getElementsByClassName(Q)[0]}else{var ne;j.charAt(0)!=="#"?ne=j:ne=j.slice(1),j=document.getElementById(ne)}if(!j)throw"Can not find container in document with id "+ne}return this._setAttr("container",j),this.content&&(this.content.parentElement&&this.content.parentElement.removeChild(this.content),j.appendChild(this.content)),this}shouldDrawHit(){return!0}clear(){var j=this.children,Q=j.length,ne;for(ne=0;ne<Q;ne++)j[ne].clear();return this}clone(j){return j||(j={}),j.container=typeof document<"u"&&document.createElement("div"),r.Container.prototype.clone.call(this,j)}destroy(){super.destroy();var j=this.content;j&&t.Util._isInDocument(j)&&this.container().removeChild(j);var Q=e.stages.indexOf(this);return Q>-1&&e.stages.splice(Q,1),t.Util.releaseCanvas(this.bufferCanvas._canvas,this.bufferHitCanvas._canvas),this}getPointerPosition(){const j=this._pointerPositions[0]||this._changedPointerPositions[0];return j?{x:j.x,y:j.y}:(t.Util.warn(Z),null)}_getPointerById(j){return this._pointerPositions.find(Q=>Q.id===j)}getPointersPositions(){return this._pointerPositions}getStage(){return this}getContent(){return this.content}_toKonvaCanvas(j){j=j||{},j.x=j.x||0,j.y=j.y||0,j.width=j.width||this.width(),j.height=j.height||this.height();var Q=new o.SceneCanvas({width:j.width,height:j.height,pixelRatio:j.pixelRatio||1}),ne=Q.getContext()._context,se=this.children;return(j.x||j.y)&&ne.translate(-1*j.x,-1*j.y),se.forEach(function(ye){if(ye.isVisible()){var ce=ye._toKonvaCanvas(j);ne.drawImage(ce._canvas,j.x,j.y,ce.getWidth()/ce.getPixelRatio(),ce.getHeight()/ce.getPixelRatio())}}),Q}getIntersection(j){if(!j)return null;var Q=this.children,ne=Q.length,se=ne-1,ye;for(ye=se;ye>=0;ye--){const ce=Q[ye].getIntersection(j);if(ce)return ce}return null}_resizeDOM(){var j=this.width(),Q=this.height();this.content&&(this.content.style.width=j+d,this.content.style.height=Q+d),this.bufferCanvas.setSize(j,Q),this.bufferHitCanvas.setSize(j,Q),this.children.forEach(ne=>{ne.setSize({width:j,height:Q}),ne.draw()})}add(j,...Q){if(arguments.length>1){for(var ne=0;ne<arguments.length;ne++)this.add(arguments[ne]);return this}super.add(j);var se=this.children.length;return se>M&&t.Util.warn("The stage has "+se+" layers. Recommended maximum number of layers is 3-5. Adding more layers into the stage may drop the performance. Rethink your tree structure, you can use Konva.Group."),j.setSize({width:this.width(),height:this.height()}),j.draw(),i.Konva.isBrowser&&this.content.appendChild(j.canvas._canvas),this}getParent(){return null}getLayer(){return null}hasPointerCapture(j){return l.hasPointerCapture(j,this)}setPointerCapture(j){l.setPointerCapture(j,this)}releaseCapture(j){l.releaseCapture(j,this)}getLayers(){return this.children}_bindContentEvents(){i.Konva.isBrowser&&R.forEach(([j,Q])=>{this.content.addEventListener(j,ne=>{this[Q](ne)},{passive:!1})})}_pointerenter(j){this.setPointersPositions(j);const Q=U(j.type);this._fire(Q.pointerenter,{evt:j,target:this,currentTarget:this})}_pointerover(j){this.setPointersPositions(j);const Q=U(j.type);this._fire(Q.pointerover,{evt:j,target:this,currentTarget:this})}_getTargetShape(j){let Q=this[j+"targetShape"];return Q&&!Q.getStage()&&(Q=null),Q}_pointerleave(j){const Q=U(j.type),ne=B(j.type);if(Q){this.setPointersPositions(j);var se=this._getTargetShape(ne),ye=!a.DD.isDragging||i.Konva.hitOnDragEnabled;se&&ye?(se._fireAndBubble(Q.pointerout,{evt:j}),se._fireAndBubble(Q.pointerleave,{evt:j}),this._fire(Q.pointerleave,{evt:j,target:this,currentTarget:this}),this[ne+"targetShape"]=null):ye&&(this._fire(Q.pointerleave,{evt:j,target:this,currentTarget:this}),this._fire(Q.pointerout,{evt:j,target:this,currentTarget:this})),this.pointerPos=void 0,this._pointerPositions=[]}}_pointerdown(j){const Q=U(j.type),ne=B(j.type);if(Q){this.setPointersPositions(j);var se=!1;this._changedPointerPositions.forEach(ye=>{var ce=this.getIntersection(ye);if(a.DD.justDragged=!1,i.Konva["_"+ne+"ListenClick"]=!0,!(ce&&ce.isListening()))return;i.Konva.capturePointerEventsEnabled&&ce.setPointerCapture(ye.id),this[ne+"ClickStartShape"]=ce,ce._fireAndBubble(Q.pointerdown,{evt:j,pointerId:ye.id}),se=!0;const ot=j.type.indexOf("touch")>=0;ce.preventDefault()&&j.cancelable&&ot&&j.preventDefault()}),se||this._fire(Q.pointerdown,{evt:j,target:this,currentTarget:this,pointerId:this._pointerPositions[0].id})}}_pointermove(j){const Q=U(j.type),ne=B(j.type);if(!Q)return;a.DD.isDragging&&a.DD.node.preventDefault()&&j.cancelable&&j.preventDefault(),this.setPointersPositions(j);var se=!a.DD.isDragging||i.Konva.hitOnDragEnabled;if(!se)return;var ye={};let ce=!1;var bt=this._getTargetShape(ne);this._changedPointerPositions.forEach(ot=>{const ze=l.getCapturedShape(ot.id)||this.getIntersection(ot),mt=ot.id,Pe={evt:j,pointerId:mt};var en=bt!==ze;if(en&&bt&&(bt._fireAndBubble(Q.pointerout,Object.assign({},Pe),ze),bt._fireAndBubble(Q.pointerleave,Object.assign({},Pe),ze)),ze){if(ye[ze._id])return;ye[ze._id]=!0}ze&&ze.isListening()?(ce=!0,en&&(ze._fireAndBubble(Q.pointerover,Object.assign({},Pe),bt),ze._fireAndBubble(Q.pointerenter,Object.assign({},Pe),bt),this[ne+"targetShape"]=ze),ze._fireAndBubble(Q.pointermove,Object.assign({},Pe))):bt&&(this._fire(Q.pointerover,{evt:j,target:this,currentTarget:this,pointerId:mt}),this[ne+"targetShape"]=null)}),ce||this._fire(Q.pointermove,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id})}_pointerup(j){const Q=U(j.type),ne=B(j.type);if(!Q)return;this.setPointersPositions(j);const se=this[ne+"ClickStartShape"],ye=this[ne+"ClickEndShape"];var ce={};let bt=!1;this._changedPointerPositions.forEach(ot=>{const ze=l.getCapturedShape(ot.id)||this.getIntersection(ot);if(ze){if(ze.releaseCapture(ot.id),ce[ze._id])return;ce[ze._id]=!0}const mt=ot.id,Pe={evt:j,pointerId:mt};let en=!1;i.Konva["_"+ne+"InDblClickWindow"]?(en=!0,clearTimeout(this[ne+"DblTimeout"])):a.DD.justDragged||(i.Konva["_"+ne+"InDblClickWindow"]=!0,clearTimeout(this[ne+"DblTimeout"])),this[ne+"DblTimeout"]=setTimeout(function(){i.Konva["_"+ne+"InDblClickWindow"]=!1},i.Konva.dblClickWindow),ze&&ze.isListening()?(bt=!0,this[ne+"ClickEndShape"]=ze,ze._fireAndBubble(Q.pointerup,Object.assign({},Pe)),i.Konva["_"+ne+"ListenClick"]&&se&&se===ze&&(ze._fireAndBubble(Q.pointerclick,Object.assign({},Pe)),en&&ye&&ye===ze&&ze._fireAndBubble(Q.pointerdblclick,Object.assign({},Pe)))):(this[ne+"ClickEndShape"]=null,i.Konva["_"+ne+"ListenClick"]&&this._fire(Q.pointerclick,{evt:j,target:this,currentTarget:this,pointerId:mt}),en&&this._fire(Q.pointerdblclick,{evt:j,target:this,currentTarget:this,pointerId:mt}))}),bt||this._fire(Q.pointerup,{evt:j,target:this,currentTarget:this,pointerId:this._changedPointerPositions[0].id}),i.Konva["_"+ne+"ListenClick"]=!1,j.cancelable&&ne!=="touch"&&j.preventDefault()}_contextmenu(j){this.setPointersPositions(j);var Q=this.getIntersection(this.getPointerPosition());Q&&Q.isListening()?Q._fireAndBubble($,{evt:j}):this._fire($,{evt:j,target:this,currentTarget:this})}_wheel(j){this.setPointersPositions(j);var Q=this.getIntersection(this.getPointerPosition());Q&&Q.isListening()?Q._fireAndBubble(L,{evt:j}):this._fire(L,{evt:j,target:this,currentTarget:this})}_pointercancel(j){this.setPointersPositions(j);const Q=l.getCapturedShape(j.pointerId)||this.getIntersection(this.getPointerPosition());Q&&Q._fireAndBubble(S,l.createEvent(j)),l.releaseCapture(j.pointerId)}_lostpointercapture(j){l.releaseCapture(j.pointerId)}setPointersPositions(j){var Q=this._getContentPosition(),ne=null,se=null;j=j||window.event,j.touches!==void 0?(this._pointerPositions=[],this._changedPointerPositions=[],Array.prototype.forEach.call(j.touches,ye=>{this._pointerPositions.push({id:ye.identifier,x:(ye.clientX-Q.left)/Q.scaleX,y:(ye.clientY-Q.top)/Q.scaleY})}),Array.prototype.forEach.call(j.changedTouches||j.touches,ye=>{this._changedPointerPositions.push({id:ye.identifier,x:(ye.clientX-Q.left)/Q.scaleX,y:(ye.clientY-Q.top)/Q.scaleY})})):(ne=(j.clientX-Q.left)/Q.scaleX,se=(j.clientY-Q.top)/Q.scaleY,this.pointerPos={x:ne,y:se},this._pointerPositions=[{x:ne,y:se,id:t.Util._getFirstPointerId(j)}],this._changedPointerPositions=[{x:ne,y:se,id:t.Util._getFirstPointerId(j)}])}_setPointerPosition(j){t.Util.warn('Method _setPointerPosition is deprecated. Use "stage.setPointersPositions(event)" instead.'),this.setPointersPositions(j)}_getContentPosition(){if(!this.content||!this.content.getBoundingClientRect)return{top:0,left:0,scaleX:1,scaleY:1};var j=this.content.getBoundingClientRect();return{top:j.top,left:j.left,scaleX:j.width/this.content.clientWidth||1,scaleY:j.height/this.content.clientHeight||1}}_buildDOM(){if(this.bufferCanvas=new o.SceneCanvas({width:this.width(),height:this.height()}),this.bufferHitCanvas=new o.HitCanvas({pixelRatio:1,width:this.width(),height:this.height()}),!!i.Konva.isBrowser){var j=this.container();if(!j)throw"Stage has no container. A container is required.";j.innerHTML="",this.content=document.createElement("div"),this.content.style.position="relative",this.content.style.userSelect="none",this.content.className="konvajs-content",this.content.setAttribute("role","presentation"),j.appendChild(this.content),this._resizeDOM()}}cache(){return t.Util.warn("Cache function is not allowed for stage. You may use cache only for layers, groups and shapes."),this}clearCache(){return this}batchDraw(){return this.getChildren().forEach(function(j){j.batchDraw()}),this}}e.Stage=ee,ee.prototype.nodeType=u,(0,s._registerNode)(ee),n.Factory.addGetterSetter(ee,"container")})(xG);var Ey={},Zr={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Shape=e.shapes=void 0;const t=Rt,n=fr,r=At,i=ir,o=Xe,a=Rt,s=qo;var l="hasShadow",u="shadowRGBA",c="patternImage",d="linearGradient",f="radialGradient";let h;function p(){return h||(h=n.Util.createCanvasElement().getContext("2d"),h)}e.shapes={};function m(k){const T=this.attrs.fillRule;T?k.fill(T):k.fill()}function _(k){k.stroke()}function b(k){k.fill()}function y(k){k.stroke()}function g(){this._clearCache(l)}function v(){this._clearCache(u)}function S(){this._clearCache(c)}function w(){this._clearCache(d)}function x(){this._clearCache(f)}class C extends i.Node{constructor(T){super(T);let P;for(;P=n.Util.getRandomColor(),!(P&&!(P in e.shapes)););this.colorKey=P,e.shapes[P]=this}getContext(){return n.Util.warn("shape.getContext() method is deprecated. Please do not use it."),this.getLayer().getContext()}getCanvas(){return n.Util.warn("shape.getCanvas() method is deprecated. Please do not use it."),this.getLayer().getCanvas()}getSceneFunc(){return this.attrs.sceneFunc||this._sceneFunc}getHitFunc(){return this.attrs.hitFunc||this._hitFunc}hasShadow(){return this._getCache(l,this._hasShadow)}_hasShadow(){return this.shadowEnabled()&&this.shadowOpacity()!==0&&!!(this.shadowColor()||this.shadowBlur()||this.shadowOffsetX()||this.shadowOffsetY())}_getFillPattern(){return this._getCache(c,this.__getFillPattern)}__getFillPattern(){if(this.fillPatternImage()){var T=p();const P=T.createPattern(this.fillPatternImage(),this.fillPatternRepeat()||"repeat");if(P&&P.setTransform){const $=new n.Transform;$.translate(this.fillPatternX(),this.fillPatternY()),$.rotate(t.Konva.getAngle(this.fillPatternRotation())),$.scale(this.fillPatternScaleX(),this.fillPatternScaleY()),$.translate(-1*this.fillPatternOffsetX(),-1*this.fillPatternOffsetY());const O=$.getMatrix(),E=typeof DOMMatrix>"u"?{a:O[0],b:O[1],c:O[2],d:O[3],e:O[4],f:O[5]}:new DOMMatrix(O);P.setTransform(E)}return P}}_getLinearGradient(){return this._getCache(d,this.__getLinearGradient)}__getLinearGradient(){var T=this.fillLinearGradientColorStops();if(T){for(var P=p(),$=this.fillLinearGradientStartPoint(),O=this.fillLinearGradientEndPoint(),E=P.createLinearGradient($.x,$.y,O.x,O.y),A=0;A<T.length;A+=2)E.addColorStop(T[A],T[A+1]);return E}}_getRadialGradient(){return this._getCache(f,this.__getRadialGradient)}__getRadialGradient(){var T=this.fillRadialGradientColorStops();if(T){for(var P=p(),$=this.fillRadialGradientStartPoint(),O=this.fillRadialGradientEndPoint(),E=P.createRadialGradient($.x,$.y,this.fillRadialGradientStartRadius(),O.x,O.y,this.fillRadialGradientEndRadius()),A=0;A<T.length;A+=2)E.addColorStop(T[A],T[A+1]);return E}}getShadowRGBA(){return this._getCache(u,this._getShadowRGBA)}_getShadowRGBA(){if(this.hasShadow()){var T=n.Util.colorToRGBA(this.shadowColor());if(T)return"rgba("+T.r+","+T.g+","+T.b+","+T.a*(this.shadowOpacity()||1)+")"}}hasFill(){return this._calculate("hasFill",["fillEnabled","fill","fillPatternImage","fillLinearGradientColorStops","fillRadialGradientColorStops"],()=>this.fillEnabled()&&!!(this.fill()||this.fillPatternImage()||this.fillLinearGradientColorStops()||this.fillRadialGradientColorStops()))}hasStroke(){return this._calculate("hasStroke",["strokeEnabled","strokeWidth","stroke","strokeLinearGradientColorStops"],()=>this.strokeEnabled()&&this.strokeWidth()&&!!(this.stroke()||this.strokeLinearGradientColorStops()))}hasHitStroke(){const T=this.hitStrokeWidth();return T==="auto"?this.hasStroke():this.strokeEnabled()&&!!T}intersects(T){var P=this.getStage(),$=P.bufferHitCanvas,O;return $.getContext().clear(),this.drawHit($,null,!0),O=$.context.getImageData(Math.round(T.x),Math.round(T.y),1,1).data,O[3]>0}destroy(){return i.Node.prototype.destroy.call(this),delete e.shapes[this.colorKey],delete this.colorKey,this}_useBufferCanvas(T){var P;if(!this.getStage()||!((P=this.attrs.perfectDrawEnabled)!==null&&P!==void 0?P:!0))return!1;const O=T||this.hasFill(),E=this.hasStroke(),A=this.getAbsoluteOpacity()!==1;if(O&&E&&A)return!0;const D=this.hasShadow(),L=this.shadowForStrokeEnabled();return!!(O&&E&&D&&L)}setStrokeHitEnabled(T){n.Util.warn("strokeHitEnabled property is deprecated. Please use hitStrokeWidth instead."),T?this.hitStrokeWidth("auto"):this.hitStrokeWidth(0)}getStrokeHitEnabled(){return this.hitStrokeWidth()!==0}getSelfRect(){var T=this.size();return{x:this._centroid?-T.width/2:0,y:this._centroid?-T.height/2:0,width:T.width,height:T.height}}getClientRect(T={}){const P=T.skipTransform,$=T.relativeTo,O=this.getSelfRect(),A=!T.skipStroke&&this.hasStroke()&&this.strokeWidth()||0,D=O.width+A,L=O.height+A,M=!T.skipShadow&&this.hasShadow(),R=M?this.shadowOffsetX():0,N=M?this.shadowOffsetY():0,B=D+Math.abs(R),U=L+Math.abs(N),G=M&&this.shadowBlur()||0,Z=B+G*2,ee=U+G*2,J={width:Z,height:ee,x:-(A/2+G)+Math.min(R,0)+O.x,y:-(A/2+G)+Math.min(N,0)+O.y};return P?J:this._transformedRect(J,$)}drawScene(T,P){var $=this.getLayer(),O=T||$.getCanvas(),E=O.getContext(),A=this._getCanvasCache(),D=this.getSceneFunc(),L=this.hasShadow(),M,R,N,B=O.isCache,U=P===this;if(!this.isVisible()&&!U)return this;if(A){E.save();var G=this.getAbsoluteTransform(P).getMatrix();return E.transform(G[0],G[1],G[2],G[3],G[4],G[5]),this._drawCachedSceneCanvas(E),E.restore(),this}if(!D)return this;if(E.save(),this._useBufferCanvas()&&!B){M=this.getStage(),R=M.bufferCanvas,N=R.getContext(),N.clear(),N.save(),N._applyLineJoin(this);var Z=this.getAbsoluteTransform(P).getMatrix();N.transform(Z[0],Z[1],Z[2],Z[3],Z[4],Z[5]),D.call(this,N,this),N.restore();var ee=R.pixelRatio;L&&E._applyShadow(this),E._applyOpacity(this),E._applyGlobalCompositeOperation(this),E.drawImage(R._canvas,0,0,R.width/ee,R.height/ee)}else{if(E._applyLineJoin(this),!U){var Z=this.getAbsoluteTransform(P).getMatrix();E.transform(Z[0],Z[1],Z[2],Z[3],Z[4],Z[5]),E._applyOpacity(this),E._applyGlobalCompositeOperation(this)}L&&E._applyShadow(this),D.call(this,E,this)}return E.restore(),this}drawHit(T,P,$=!1){if(!this.shouldDrawHit(P,$))return this;var O=this.getLayer(),E=T||O.hitCanvas,A=E&&E.getContext(),D=this.hitFunc()||this.sceneFunc(),L=this._getCanvasCache(),M=L&&L.hit;if(this.colorKey||n.Util.warn("Looks like your canvas has a destroyed shape in it. Do not reuse shape after you destroyed it. If you want to reuse shape you should call remove() instead of destroy()"),M){A.save();var R=this.getAbsoluteTransform(P).getMatrix();return A.transform(R[0],R[1],R[2],R[3],R[4],R[5]),this._drawCachedHitCanvas(A),A.restore(),this}if(!D)return this;if(A.save(),A._applyLineJoin(this),!(this===P)){var B=this.getAbsoluteTransform(P).getMatrix();A.transform(B[0],B[1],B[2],B[3],B[4],B[5])}return D.call(this,A,this),A.restore(),this}drawHitFromCache(T=0){var P=this._getCanvasCache(),$=this._getCachedSceneCanvas(),O=P.hit,E=O.getContext(),A=O.getWidth(),D=O.getHeight(),L,M,R,N,B,U;E.clear(),E.drawImage($._canvas,0,0,A,D);try{for(L=E.getImageData(0,0,A,D),M=L.data,R=M.length,N=n.Util._hexToRgb(this.colorKey),B=0;B<R;B+=4)U=M[B+3],U>T?(M[B]=N.r,M[B+1]=N.g,M[B+2]=N.b,M[B+3]=255):M[B+3]=0;E.putImageData(L,0,0)}catch(G){n.Util.error("Unable to draw hit graph from cached scene canvas. "+G.message)}return this}hasPointerCapture(T){return s.hasPointerCapture(T,this)}setPointerCapture(T){s.setPointerCapture(T,this)}releaseCapture(T){s.releaseCapture(T,this)}}e.Shape=C,C.prototype._fillFunc=m,C.prototype._strokeFunc=_,C.prototype._fillFuncHit=b,C.prototype._strokeFuncHit=y,C.prototype._centroid=!1,C.prototype.nodeType="Shape",(0,a._registerNode)(C),C.prototype.eventListeners={},C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowBlurChange.konva shadowOffsetChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",g),C.prototype.on.call(C.prototype,"shadowColorChange.konva shadowOpacityChange.konva shadowEnabledChange.konva",v),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillPatternImageChange.konva fillPatternRepeatChange.konva fillPatternScaleXChange.konva fillPatternScaleYChange.konva fillPatternOffsetXChange.konva fillPatternOffsetYChange.konva fillPatternXChange.konva fillPatternYChange.konva fillPatternRotationChange.konva",S),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillLinearGradientColorStopsChange.konva fillLinearGradientStartPointXChange.konva fillLinearGradientStartPointYChange.konva fillLinearGradientEndPointXChange.konva fillLinearGradientEndPointYChange.konva",w),C.prototype.on.call(C.prototype,"fillPriorityChange.konva fillRadialGradientColorStopsChange.konva fillRadialGradientStartPointXChange.konva fillRadialGradientStartPointYChange.konva fillRadialGradientEndPointXChange.konva fillRadialGradientEndPointYChange.konva fillRadialGradientStartRadiusChange.konva fillRadialGradientEndRadiusChange.konva",x),r.Factory.addGetterSetter(C,"stroke",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"strokeWidth",2,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillAfterStrokeEnabled",!1),r.Factory.addGetterSetter(C,"hitStrokeWidth","auto",(0,o.getNumberOrAutoValidator)()),r.Factory.addGetterSetter(C,"strokeHitEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"perfectDrawEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"shadowForStrokeEnabled",!0,(0,o.getBooleanValidator)()),r.Factory.addGetterSetter(C,"lineJoin"),r.Factory.addGetterSetter(C,"lineCap"),r.Factory.addGetterSetter(C,"sceneFunc"),r.Factory.addGetterSetter(C,"hitFunc"),r.Factory.addGetterSetter(C,"dash"),r.Factory.addGetterSetter(C,"dashOffset",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowColor",void 0,(0,o.getStringValidator)()),r.Factory.addGetterSetter(C,"shadowBlur",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOpacity",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"shadowOffset",["x","y"]),r.Factory.addGetterSetter(C,"shadowOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"shadowOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternImage"),r.Factory.addGetterSetter(C,"fill",void 0,(0,o.getStringOrGradientValidator)()),r.Factory.addGetterSetter(C,"fillPatternX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternY",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillLinearGradientColorStops"),r.Factory.addGetterSetter(C,"strokeLinearGradientColorStops"),r.Factory.addGetterSetter(C,"fillRadialGradientStartRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndRadius",0),r.Factory.addGetterSetter(C,"fillRadialGradientColorStops"),r.Factory.addGetterSetter(C,"fillPatternRepeat","repeat"),r.Factory.addGetterSetter(C,"fillEnabled",!0),r.Factory.addGetterSetter(C,"strokeEnabled",!0),r.Factory.addGetterSetter(C,"shadowEnabled",!0),r.Factory.addGetterSetter(C,"dashEnabled",!0),r.Factory.addGetterSetter(C,"strokeScaleEnabled",!0),r.Factory.addGetterSetter(C,"fillPriority","color"),r.Factory.addComponentsGetterSetter(C,"fillPatternOffset",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternOffsetX",0,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternOffsetY",0,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillPatternScale",["x","y"]),r.Factory.addGetterSetter(C,"fillPatternScaleX",1,(0,o.getNumberValidator)()),r.Factory.addGetterSetter(C,"fillPatternScaleY",1,(0,o.getNumberValidator)()),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientStartPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientStartPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillLinearGradientEndPoint",["x","y"]),r.Factory.addComponentsGetterSetter(C,"strokeLinearGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillLinearGradientEndPointY",0),r.Factory.addGetterSetter(C,"strokeLinearGradientEndPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientStartPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientStartPointY",0),r.Factory.addComponentsGetterSetter(C,"fillRadialGradientEndPoint",["x","y"]),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointX",0),r.Factory.addGetterSetter(C,"fillRadialGradientEndPointY",0),r.Factory.addGetterSetter(C,"fillPatternRotation",0),r.Factory.addGetterSetter(C,"fillRule",void 0,(0,o.getStringValidator)()),r.Factory.backCompat(C,{dashArray:"dash",getDashArray:"getDash",setDashArray:"getDash",drawFunc:"sceneFunc",getDrawFunc:"getSceneFunc",setDrawFunc:"setSceneFunc",drawHitFunc:"hitFunc",getDrawHitFunc:"getHitFunc",setDrawHitFunc:"setHitFunc"})})(Zr);Object.defineProperty(Ey,"__esModule",{value:!0});Ey.Layer=void 0;const fl=fr,QC=Gd,mf=ir,xA=At,dO=os,Dwe=Xe,Lwe=Zr,Fwe=Rt;var Bwe="#",zwe="beforeDraw",jwe="draw",EG=[{x:0,y:0},{x:-1,y:-1},{x:1,y:-1},{x:1,y:1},{x:-1,y:1}],Uwe=EG.length;class xp extends QC.Container{constructor(t){super(t),this.canvas=new dO.SceneCanvas,this.hitCanvas=new dO.HitCanvas({pixelRatio:1}),this._waitingForDraw=!1,this.on("visibleChange.konva",this._checkVisibility),this._checkVisibility(),this.on("imageSmoothingEnabledChange.konva",this._setSmoothEnabled),this._setSmoothEnabled()}createPNGStream(){return this.canvas._canvas.createPNGStream()}getCanvas(){return this.canvas}getNativeCanvasElement(){return this.canvas._canvas}getHitCanvas(){return this.hitCanvas}getContext(){return this.getCanvas().getContext()}clear(t){return this.getContext().clear(t),this.getHitCanvas().getContext().clear(t),this}setZIndex(t){super.setZIndex(t);var n=this.getStage();return n&&n.content&&(n.content.removeChild(this.getNativeCanvasElement()),t<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[t+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement())),this}moveToTop(){mf.Node.prototype.moveToTop.call(this);var t=this.getStage();return t&&t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.appendChild(this.getNativeCanvasElement())),!0}moveUp(){var t=mf.Node.prototype.moveUp.call(this);if(!t)return!1;var n=this.getStage();return!n||!n.content?!1:(n.content.removeChild(this.getNativeCanvasElement()),this.index<n.children.length-1?n.content.insertBefore(this.getNativeCanvasElement(),n.children[this.index+1].getCanvas()._canvas):n.content.appendChild(this.getNativeCanvasElement()),!0)}moveDown(){if(mf.Node.prototype.moveDown.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[this.index+1].getCanvas()._canvas))}return!0}return!1}moveToBottom(){if(mf.Node.prototype.moveToBottom.call(this)){var t=this.getStage();if(t){var n=t.children;t.content&&(t.content.removeChild(this.getNativeCanvasElement()),t.content.insertBefore(this.getNativeCanvasElement(),n[1].getCanvas()._canvas))}return!0}return!1}getLayer(){return this}remove(){var t=this.getNativeCanvasElement();return mf.Node.prototype.remove.call(this),t&&t.parentNode&&fl.Util._isInDocument(t)&&t.parentNode.removeChild(t),this}getStage(){return this.parent}setSize({width:t,height:n}){return this.canvas.setSize(t,n),this.hitCanvas.setSize(t,n),this._setSmoothEnabled(),this}_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&fl.Util.throw("You may only add groups and shapes to a layer.")}_toKonvaCanvas(t){return t=t||{},t.width=t.width||this.getWidth(),t.height=t.height||this.getHeight(),t.x=t.x!==void 0?t.x:this.x(),t.y=t.y!==void 0?t.y:this.y(),mf.Node.prototype._toKonvaCanvas.call(this,t)}_checkVisibility(){this.visible()?this.canvas._canvas.style.display="block":this.canvas._canvas.style.display="none"}_setSmoothEnabled(){this.getContext()._context.imageSmoothingEnabled=this.imageSmoothingEnabled()}getWidth(){if(this.parent)return this.parent.width()}setWidth(){fl.Util.warn('Can not change width of layer. Use "stage.width(value)" function instead.')}getHeight(){if(this.parent)return this.parent.height()}setHeight(){fl.Util.warn('Can not change height of layer. Use "stage.height(value)" function instead.')}batchDraw(){return this._waitingForDraw||(this._waitingForDraw=!0,fl.Util.requestAnimFrame(()=>{this.draw(),this._waitingForDraw=!1})),this}getIntersection(t){if(!this.isListening()||!this.isVisible())return null;for(var n=1,r=!1;;){for(let i=0;i<Uwe;i++){const o=EG[i],a=this._getIntersection({x:t.x+o.x*n,y:t.y+o.y*n}),s=a.shape;if(s)return s;if(r=!!a.antialiased,!a.antialiased)break}if(r)n+=1;else return null}}_getIntersection(t){const n=this.hitCanvas.pixelRatio,r=this.hitCanvas.context.getImageData(Math.round(t.x*n),Math.round(t.y*n),1,1).data,i=r[3];if(i===255){const o=fl.Util._rgbToHex(r[0],r[1],r[2]),a=Lwe.shapes[Bwe+o];return a?{shape:a}:{antialiased:!0}}else if(i>0)return{antialiased:!0};return{}}drawScene(t,n){var r=this.getLayer(),i=t||r&&r.getCanvas();return this._fire(zwe,{node:this}),this.clearBeforeDraw()&&i.getContext().clear(),QC.Container.prototype.drawScene.call(this,i,n),this._fire(jwe,{node:this}),this}drawHit(t,n){var r=this.getLayer(),i=t||r&&r.hitCanvas;return r&&r.clearBeforeDraw()&&r.getHitCanvas().getContext().clear(),QC.Container.prototype.drawHit.call(this,i,n),this}enableHitGraph(){return this.hitGraphEnabled(!0),this}disableHitGraph(){return this.hitGraphEnabled(!1),this}setHitGraphEnabled(t){fl.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening(t)}getHitGraphEnabled(t){return fl.Util.warn("hitGraphEnabled method is deprecated. Please use layer.listening() instead."),this.listening()}toggleHitCanvas(){if(!(!this.parent||!this.parent.content)){var t=this.parent,n=!!this.hitCanvas._canvas.parentNode;n?t.content.removeChild(this.hitCanvas._canvas):t.content.appendChild(this.hitCanvas._canvas)}}destroy(){return fl.Util.releaseCanvas(this.getNativeCanvasElement(),this.getHitCanvas()._canvas),super.destroy()}}Ey.Layer=xp;xp.prototype.nodeType="Layer";(0,Fwe._registerNode)(xp);xA.Factory.addGetterSetter(xp,"imageSmoothingEnabled",!0);xA.Factory.addGetterSetter(xp,"clearBeforeDraw",!0);xA.Factory.addGetterSetter(xp,"hitGraphEnabled",!0,(0,Dwe.getBooleanValidator)());var lx={};Object.defineProperty(lx,"__esModule",{value:!0});lx.FastLayer=void 0;const Vwe=fr,Gwe=Ey,qwe=Rt;class wA extends Gwe.Layer{constructor(t){super(t),this.listening(!1),Vwe.Util.warn('Konva.Fast layer is deprecated. Please use "new Konva.Layer({ listening: false })" instead.')}}lx.FastLayer=wA;wA.prototype.nodeType="FastLayer";(0,qwe._registerNode)(wA);var wp={};Object.defineProperty(wp,"__esModule",{value:!0});wp.Group=void 0;const Hwe=fr,Wwe=Gd,Kwe=Rt;class CA extends Wwe.Container{_validateAdd(t){var n=t.getType();n!=="Group"&&n!=="Shape"&&Hwe.Util.throw("You may only add groups and shapes to groups.")}}wp.Group=CA;CA.prototype.nodeType="Group";(0,Kwe._registerNode)(CA);var Cp={};Object.defineProperty(Cp,"__esModule",{value:!0});Cp.Animation=void 0;const XC=Rt,fO=fr;var YC=function(){return XC.glob.performance&&XC.glob.performance.now?function(){return XC.glob.performance.now()}:function(){return new Date().getTime()}}();class Os{constructor(t,n){this.id=Os.animIdCounter++,this.frame={time:0,timeDiff:0,lastTime:YC(),frameRate:0},this.func=t,this.setLayers(n)}setLayers(t){var n=[];return t?t.length>0?n=t:n=[t]:n=[],this.layers=n,this}getLayers(){return this.layers}addLayer(t){var n=this.layers,r=n.length,i;for(i=0;i<r;i++)if(n[i]._id===t._id)return!1;return this.layers.push(t),!0}isRunning(){var t=Os,n=t.animations,r=n.length,i;for(i=0;i<r;i++)if(n[i].id===this.id)return!0;return!1}start(){return this.stop(),this.frame.timeDiff=0,this.frame.lastTime=YC(),Os._addAnimation(this),this}stop(){return Os._removeAnimation(this),this}_updateFrameObject(t){this.frame.timeDiff=t-this.frame.lastTime,this.frame.lastTime=t,this.frame.time+=this.frame.timeDiff,this.frame.frameRate=1e3/this.frame.timeDiff}static _addAnimation(t){this.animations.push(t),this._handleAnimation()}static _removeAnimation(t){var n=t.id,r=this.animations,i=r.length,o;for(o=0;o<i;o++)if(r[o].id===n){this.animations.splice(o,1);break}}static _runFrames(){var t={},n=this.animations,r,i,o,a,s,l,u,c,d;for(a=0;a<n.length;a++)if(r=n[a],i=r.layers,o=r.func,r._updateFrameObject(YC()),l=i.length,o?d=o.call(r,r.frame)!==!1:d=!0,!!d)for(s=0;s<l;s++)u=i[s],u._id!==void 0&&(t[u._id]=u);for(c in t)t.hasOwnProperty(c)&&t[c].batchDraw()}static _animationLoop(){var t=Os;t.animations.length?(t._runFrames(),fO.Util.requestAnimFrame(t._animationLoop)):t.animRunning=!1}static _handleAnimation(){this.animRunning||(this.animRunning=!0,fO.Util.requestAnimFrame(this._animationLoop))}}Cp.Animation=Os;Os.animations=[];Os.animIdCounter=0;Os.animRunning=!1;var TG={};(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Easings=e.Tween=void 0;const t=fr,n=Cp,r=ir,i=Rt;var o={node:1,duration:1,easing:1,onFinish:1,yoyo:1},a=1,s=2,l=3,u=0,c=["fill","stroke","shadowColor"];class d{constructor(p,m,_,b,y,g,v){this.prop=p,this.propFunc=m,this.begin=b,this._pos=b,this.duration=g,this._change=0,this.prevPos=0,this.yoyo=v,this._time=0,this._position=0,this._startTime=0,this._finish=0,this.func=_,this._change=y-this.begin,this.pause()}fire(p){var m=this[p];m&&m()}setTime(p){p>this.duration?this.yoyo?(this._time=this.duration,this.reverse()):this.finish():p<0?this.yoyo?(this._time=0,this.play()):this.reset():(this._time=p,this.update())}getTime(){return this._time}setPosition(p){this.prevPos=this._pos,this.propFunc(p),this._pos=p}getPosition(p){return p===void 0&&(p=this._time),this.func(p,this.begin,this._change,this.duration)}play(){this.state=s,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onPlay")}reverse(){this.state=l,this._time=this.duration-this._time,this._startTime=this.getTimer()-this._time,this.onEnterFrame(),this.fire("onReverse")}seek(p){this.pause(),this._time=p,this.update(),this.fire("onSeek")}reset(){this.pause(),this._time=0,this.update(),this.fire("onReset")}finish(){this.pause(),this._time=this.duration,this.update(),this.fire("onFinish")}update(){this.setPosition(this.getPosition(this._time)),this.fire("onUpdate")}onEnterFrame(){var p=this.getTimer()-this._startTime;this.state===s?this.setTime(p):this.state===l&&this.setTime(this.duration-p)}pause(){this.state=a,this.fire("onPause")}getTimer(){return new Date().getTime()}}class f{constructor(p){var m=this,_=p.node,b=_._id,y,g=p.easing||e.Easings.Linear,v=!!p.yoyo,S;typeof p.duration>"u"?y=.3:p.duration===0?y=.001:y=p.duration,this.node=_,this._id=u++;var w=_.getLayer()||(_ instanceof i.Konva.Stage?_.getLayers():null);w||t.Util.error("Tween constructor have `node` that is not in a layer. Please add node into layer first."),this.anim=new n.Animation(function(){m.tween.onEnterFrame()},w),this.tween=new d(S,function(x){m._tweenFunc(x)},g,0,1,y*1e3,v),this._addListeners(),f.attrs[b]||(f.attrs[b]={}),f.attrs[b][this._id]||(f.attrs[b][this._id]={}),f.tweens[b]||(f.tweens[b]={});for(S in p)o[S]===void 0&&this._addAttr(S,p[S]);this.reset(),this.onFinish=p.onFinish,this.onReset=p.onReset,this.onUpdate=p.onUpdate}_addAttr(p,m){var _=this.node,b=_._id,y,g,v,S,w,x,C,k;if(v=f.tweens[b][p],v&&delete f.attrs[b][v][p],y=_.getAttr(p),t.Util._isArray(m))if(g=[],w=Math.max(m.length,y.length),p==="points"&&m.length!==y.length&&(m.length>y.length?(C=y,y=t.Util._prepareArrayForTween(y,m,_.closed())):(x=m,m=t.Util._prepareArrayForTween(m,y,_.closed()))),p.indexOf("fill")===0)for(S=0;S<w;S++)if(S%2===0)g.push(m[S]-y[S]);else{var T=t.Util.colorToRGBA(y[S]);k=t.Util.colorToRGBA(m[S]),y[S]=T,g.push({r:k.r-T.r,g:k.g-T.g,b:k.b-T.b,a:k.a-T.a})}else for(S=0;S<w;S++)g.push(m[S]-y[S]);else c.indexOf(p)!==-1?(y=t.Util.colorToRGBA(y),k=t.Util.colorToRGBA(m),g={r:k.r-y.r,g:k.g-y.g,b:k.b-y.b,a:k.a-y.a}):g=m-y;f.attrs[b][this._id][p]={start:y,diff:g,end:m,trueEnd:x,trueStart:C},f.tweens[b][p]=this._id}_tweenFunc(p){var m=this.node,_=f.attrs[m._id][this._id],b,y,g,v,S,w,x,C;for(b in _){if(y=_[b],g=y.start,v=y.diff,C=y.end,t.Util._isArray(g))if(S=[],x=Math.max(g.length,C.length),b.indexOf("fill")===0)for(w=0;w<x;w++)w%2===0?S.push((g[w]||0)+v[w]*p):S.push("rgba("+Math.round(g[w].r+v[w].r*p)+","+Math.round(g[w].g+v[w].g*p)+","+Math.round(g[w].b+v[w].b*p)+","+(g[w].a+v[w].a*p)+")");else for(w=0;w<x;w++)S.push((g[w]||0)+v[w]*p);else c.indexOf(b)!==-1?S="rgba("+Math.round(g.r+v.r*p)+","+Math.round(g.g+v.g*p)+","+Math.round(g.b+v.b*p)+","+(g.a+v.a*p)+")":S=g+v*p;m.setAttr(b,S)}}_addListeners(){this.tween.onPlay=()=>{this.anim.start()},this.tween.onReverse=()=>{this.anim.start()},this.tween.onPause=()=>{this.anim.stop()},this.tween.onFinish=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueEnd&&p.setAttr("points",m.points.trueEnd),this.onFinish&&this.onFinish.call(this)},this.tween.onReset=()=>{var p=this.node,m=f.attrs[p._id][this._id];m.points&&m.points.trueStart&&p.points(m.points.trueStart),this.onReset&&this.onReset()},this.tween.onUpdate=()=>{this.onUpdate&&this.onUpdate.call(this)}}play(){return this.tween.play(),this}reverse(){return this.tween.reverse(),this}reset(){return this.tween.reset(),this}seek(p){return this.tween.seek(p*1e3),this}pause(){return this.tween.pause(),this}finish(){return this.tween.finish(),this}destroy(){var p=this.node._id,m=this._id,_=f.tweens[p],b;this.pause();for(b in _)delete f.tweens[p][b];delete f.attrs[p][m]}}e.Tween=f,f.attrs={},f.tweens={},r.Node.prototype.to=function(h){var p=h.onFinish;h.node=this,h.onFinish=function(){this.destroy(),p&&p()};var m=new f(h);m.play()},e.Easings={BackEaseIn(h,p,m,_){var b=1.70158;return m*(h/=_)*h*((b+1)*h-b)+p},BackEaseOut(h,p,m,_){var b=1.70158;return m*((h=h/_-1)*h*((b+1)*h+b)+1)+p},BackEaseInOut(h,p,m,_){var b=1.70158;return(h/=_/2)<1?m/2*(h*h*(((b*=1.525)+1)*h-b))+p:m/2*((h-=2)*h*(((b*=1.525)+1)*h+b)+2)+p},ElasticEaseIn(h,p,m,_,b,y){var g=0;return h===0?p:(h/=_)===1?p+m:(y||(y=_*.3),!b||b<Math.abs(m)?(b=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/b),-(b*Math.pow(2,10*(h-=1))*Math.sin((h*_-g)*(2*Math.PI)/y))+p)},ElasticEaseOut(h,p,m,_,b,y){var g=0;return h===0?p:(h/=_)===1?p+m:(y||(y=_*.3),!b||b<Math.abs(m)?(b=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/b),b*Math.pow(2,-10*h)*Math.sin((h*_-g)*(2*Math.PI)/y)+m+p)},ElasticEaseInOut(h,p,m,_,b,y){var g=0;return h===0?p:(h/=_/2)===2?p+m:(y||(y=_*(.3*1.5)),!b||b<Math.abs(m)?(b=m,g=y/4):g=y/(2*Math.PI)*Math.asin(m/b),h<1?-.5*(b*Math.pow(2,10*(h-=1))*Math.sin((h*_-g)*(2*Math.PI)/y))+p:b*Math.pow(2,-10*(h-=1))*Math.sin((h*_-g)*(2*Math.PI)/y)*.5+m+p)},BounceEaseOut(h,p,m,_){return(h/=_)<1/2.75?m*(7.5625*h*h)+p:h<2/2.75?m*(7.5625*(h-=1.5/2.75)*h+.75)+p:h<2.5/2.75?m*(7.5625*(h-=2.25/2.75)*h+.9375)+p:m*(7.5625*(h-=2.625/2.75)*h+.984375)+p},BounceEaseIn(h,p,m,_){return m-e.Easings.BounceEaseOut(_-h,0,m,_)+p},BounceEaseInOut(h,p,m,_){return h<_/2?e.Easings.BounceEaseIn(h*2,0,m,_)*.5+p:e.Easings.BounceEaseOut(h*2-_,0,m,_)*.5+m*.5+p},EaseIn(h,p,m,_){return m*(h/=_)*h+p},EaseOut(h,p,m,_){return-m*(h/=_)*(h-2)+p},EaseInOut(h,p,m,_){return(h/=_/2)<1?m/2*h*h+p:-m/2*(--h*(h-2)-1)+p},StrongEaseIn(h,p,m,_){return m*(h/=_)*h*h*h*h+p},StrongEaseOut(h,p,m,_){return m*((h=h/_-1)*h*h*h*h+1)+p},StrongEaseInOut(h,p,m,_){return(h/=_/2)<1?m/2*h*h*h*h*h+p:m/2*((h-=2)*h*h*h*h+2)+p},Linear(h,p,m,_){return m*h/_+p}}})(TG);(function(e){Object.defineProperty(e,"__esModule",{value:!0}),e.Konva=void 0;const t=Rt,n=fr,r=ir,i=Gd,o=xG,a=Ey,s=lx,l=wp,u=ax,c=Zr,d=Cp,f=TG,h=Dl,p=os;e.Konva=n.Util._assign(t.Konva,{Util:n.Util,Transform:n.Transform,Node:r.Node,Container:i.Container,Stage:o.Stage,stages:o.stages,Layer:a.Layer,FastLayer:s.FastLayer,Group:l.Group,DD:u.DD,Shape:c.Shape,shapes:c.shapes,Animation:d.Animation,Tween:f.Tween,Easings:f.Easings,Context:h.Context,Canvas:p.Canvas}),e.default=e.Konva})(vG);var ux={};Object.defineProperty(ux,"__esModule",{value:!0});ux.Arc=void 0;const cx=At,Qwe=Zr,hO=Rt,dx=Xe,Xwe=Rt;class ru extends Qwe.Shape{_sceneFunc(t){var n=hO.Konva.getAngle(this.angle()),r=this.clockwise();t.beginPath(),t.arc(0,0,this.outerRadius(),0,n,r),t.arc(0,0,this.innerRadius(),n,0,!r),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}getSelfRect(){const t=this.innerRadius(),n=this.outerRadius(),r=this.clockwise(),i=hO.Konva.getAngle(r?360-this.angle():this.angle()),o=Math.cos(Math.min(i,Math.PI)),a=1,s=Math.sin(Math.min(Math.max(Math.PI,i),3*Math.PI/2)),l=Math.sin(Math.min(i,Math.PI/2)),u=o*(o>0?t:n),c=a*n,d=s*(s>0?t:n),f=l*(l>0?n:t);return{x:u,y:r?-1*f:d,width:c-u,height:f-d}}}ux.Arc=ru;ru.prototype._centroid=!0;ru.prototype.className="Arc";ru.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,Xwe._registerNode)(ru);cx.Factory.addGetterSetter(ru,"innerRadius",0,(0,dx.getNumberValidator)());cx.Factory.addGetterSetter(ru,"outerRadius",0,(0,dx.getNumberValidator)());cx.Factory.addGetterSetter(ru,"angle",0,(0,dx.getNumberValidator)());cx.Factory.addGetterSetter(ru,"clockwise",!1,(0,dx.getBooleanValidator)());var fx={},Ty={};Object.defineProperty(Ty,"__esModule",{value:!0});Ty.Line=void 0;const hx=At,Ywe=Zr,kG=Xe,Zwe=Rt;function XE(e,t,n,r,i,o,a){var s=Math.sqrt(Math.pow(n-e,2)+Math.pow(r-t,2)),l=Math.sqrt(Math.pow(i-n,2)+Math.pow(o-r,2)),u=a*s/(s+l),c=a*l/(s+l),d=n-u*(i-e),f=r-u*(o-t),h=n+c*(i-e),p=r+c*(o-t);return[d,f,h,p]}function pO(e,t){var n=e.length,r=[],i,o;for(i=2;i<n-2;i+=2)o=XE(e[i-2],e[i-1],e[i],e[i+1],e[i+2],e[i+3],t),!isNaN(o[0])&&(r.push(o[0]),r.push(o[1]),r.push(e[i]),r.push(e[i+1]),r.push(o[2]),r.push(o[3]));return r}class Ec extends Ywe.Shape{constructor(t){super(t),this.on("pointsChange.konva tensionChange.konva closedChange.konva bezierChange.konva",function(){this._clearCache("tensionPoints")})}_sceneFunc(t){var n=this.points(),r=n.length,i=this.tension(),o=this.closed(),a=this.bezier(),s,l,u;if(r){if(t.beginPath(),t.moveTo(n[0],n[1]),i!==0&&r>4){for(s=this.getTensionPoints(),l=s.length,u=o?0:4,o||t.quadraticCurveTo(s[0],s[1],s[2],s[3]);u<l-2;)t.bezierCurveTo(s[u++],s[u++],s[u++],s[u++],s[u++],s[u++]);o||t.quadraticCurveTo(s[l-2],s[l-1],n[r-2],n[r-1])}else if(a)for(u=2;u<r;)t.bezierCurveTo(n[u++],n[u++],n[u++],n[u++],n[u++],n[u++]);else for(u=2;u<r;u+=2)t.lineTo(n[u],n[u+1]);o?(t.closePath(),t.fillStrokeShape(this)):t.strokeShape(this)}}getTensionPoints(){return this._getCache("tensionPoints",this._getTensionPoints)}_getTensionPoints(){return this.closed()?this._getTensionPointsClosed():pO(this.points(),this.tension())}_getTensionPointsClosed(){var t=this.points(),n=t.length,r=this.tension(),i=XE(t[n-2],t[n-1],t[0],t[1],t[2],t[3],r),o=XE(t[n-4],t[n-3],t[n-2],t[n-1],t[0],t[1],r),a=pO(t,r),s=[i[2],i[3]].concat(a).concat([o[0],o[1],t[n-2],t[n-1],o[2],o[3],i[0],i[1],t[0],t[1]]);return 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n=t[0],r=t[0],i=t[1],o=t[1],a,s,l=0;l<t.length/2;l++)a=t[l*2],s=t[l*2+1],isNaN(a)||(n=Math.min(n,a),r=Math.max(r,a)),isNaN(s)||(i=Math.min(i,s),o=Math.max(o,s));return{x:n,y:i,width:r-n,height:o-i}}getLength(){return this.pathLength}getPointAtLength(t){return Gr.getPointAtLengthOfDataArray(t,this.dataArray)}static getLineLength(t,n,r,i){return Math.sqrt((r-t)*(r-t)+(i-n)*(i-n))}static getPathLength(t){let n=0;for(var r=0;r<t.length;++r)n+=t[r].pathLength;return n}static getPointAtLengthOfDataArray(t,n){var r,i=0,o=n.length;if(!o)return null;for(;i<o&&t>n[i].pathLength;)t-=n[i].pathLength,++i;if(i===o)return r=n[i-1].points.slice(-2),{x:r[0],y:r[1]};if(t<.01)return r=n[i].points.slice(0,2),{x:r[0],y:r[1]};var a=n[i],s=a.points;switch(a.command){case"L":return Gr.getPointOnLine(t,a.start.x,a.start.y,s[0],s[1]);case"C":return Gr.getPointOnCubicBezier((0,yf.t2length)(t,Gr.getPathLength(n),m=>(0,yf.getCubicArcLength)([a.start.x,s[0],s[2],s[4]],[a.start.y,s[1],s[3],s[5]],m)),a.start.x,a.start.y,s[0],s[1],s[2],s[3],s[4],s[5]);case"Q":return Gr.getPointOnQuadraticBezier((0,yf.t2length)(t,Gr.getPathLength(n),m=>(0,yf.getQuadraticArcLength)([a.start.x,s[0],s[2]],[a.start.y,s[1],s[3]],m)),a.start.x,a.start.y,s[0],s[1],s[2],s[3]);case"A":var l=s[0],u=s[1],c=s[2],d=s[3],f=s[4],h=s[5],p=s[6];return f+=h*t/a.pathLength,Gr.getPointOnEllipticalArc(l,u,c,d,f,p)}return null}static getPointOnLine(t,n,r,i,o,a,s){a===void 0&&(a=n),s===void 0&&(s=r);var l=(o-r)/(i-n+1e-8),u=Math.sqrt(t*t/(1+l*l));i<n&&(u*=-1);var c=l*u,d;if(i===n)d={x:a,y:s+c};else if((s-r)/(a-n+1e-8)===l)d={x:a+u,y:s+c};else{var f,h,p=this.getLineLength(n,r,i,o),m=(a-n)*(i-n)+(s-r)*(o-r);m=m/(p*p),f=n+m*(i-n),h=r+m*(o-r);var _=this.getLineLength(a,s,f,h),b=Math.sqrt(t*t-_*_);u=Math.sqrt(b*b/(1+l*l)),i<n&&(u*=-1),c=l*u,d={x:f+u,y:h+c}}return d}static getPointOnCubicBezier(t,n,r,i,o,a,s,l,u){function c(_){return _*_*_}function d(_){return 3*_*_*(1-_)}function f(_){return 3*_*(1-_)*(1-_)}function h(_){return(1-_)*(1-_)*(1-_)}var p=l*c(t)+a*d(t)+i*f(t)+n*h(t),m=u*c(t)+s*d(t)+o*f(t)+r*h(t);return{x:p,y:m}}static getPointOnQuadraticBezier(t,n,r,i,o,a,s){function l(h){return h*h}function u(h){return 2*h*(1-h)}function c(h){return(1-h)*(1-h)}var d=a*l(t)+i*u(t)+n*c(t),f=s*l(t)+o*u(t)+r*c(t);return{x:d,y:f}}static getPointOnEllipticalArc(t,n,r,i,o,a){var s=Math.cos(a),l=Math.sin(a),u={x:r*Math.cos(o),y:i*Math.sin(o)};return{x:t+(u.x*s-u.y*l),y:n+(u.x*l+u.y*s)}}static parsePathData(t){if(!t)return[];var n=t,r=["m","M","l","L","v","V","h","H","z","Z","c","C","q","Q","t","T","s","S","a","A"];n=n.replace(new RegExp(" ","g"),",");for(var i=0;i<r.length;i++)n=n.replace(new RegExp(r[i],"g"),"|"+r[i]);var o=n.split("|"),a=[],s=[],l=0,u=0,c=/([-+]?((\d+\.\d+)|((\d+)|(\.\d+)))(?:e[-+]?\d+)?)/gi,d;for(i=1;i<o.length;i++){var f=o[i],h=f.charAt(0);for(f=f.slice(1),s.length=0;d=c.exec(f);)s.push(d[0]);for(var p=[],m=0,_=s.length;m<_;m++){if(s[m]==="00"){p.push(0,0);continue}var b=parseFloat(s[m]);isNaN(b)?p.push(0):p.push(b)}for(;p.length>0&&!isNaN(p[0]);){var y=null,g=[],v=l,S=u,w,x,C,k,T,P,$,O,E,A;switch(h){case"l":l+=p.shift(),u+=p.shift(),y="L",g.push(l,u);break;case"L":l=p.shift(),u=p.shift(),g.push(l,u);break;case"m":var D=p.shift(),L=p.shift();if(l+=D,u+=L,y="M",a.length>2&&a[a.length-1].command==="z"){for(var M=a.length-2;M>=0;M--)if(a[M].command==="M"){l=a[M].points[0]+D,u=a[M].points[1]+L;break}}g.push(l,u),h="l";break;case"M":l=p.shift(),u=p.shift(),y="M",g.push(l,u),h="L";break;case"h":l+=p.shift(),y="L",g.push(l,u);break;case"H":l=p.shift(),y="L",g.push(l,u);break;case"v":u+=p.shift(),y="L",g.push(l,u);break;case"V":u=p.shift(),y="L",g.push(l,u);break;case"C":g.push(p.shift(),p.shift(),p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"c":g.push(l+p.shift(),u+p.shift(),l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"S":x=l,C=u,w=a[a.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,p.shift(),p.shift()),l=p.shift(),u=p.shift(),y="C",g.push(l,u);break;case"s":x=l,C=u,w=a[a.length-1],w.command==="C"&&(x=l+(l-w.points[2]),C=u+(u-w.points[3])),g.push(x,C,l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="C",g.push(l,u);break;case"Q":g.push(p.shift(),p.shift()),l=p.shift(),u=p.shift(),g.push(l,u);break;case"q":g.push(l+p.shift(),u+p.shift()),l+=p.shift(),u+=p.shift(),y="Q",g.push(l,u);break;case"T":x=l,C=u,w=a[a.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l=p.shift(),u=p.shift(),y="Q",g.push(x,C,l,u);break;case"t":x=l,C=u,w=a[a.length-1],w.command==="Q"&&(x=l+(l-w.points[0]),C=u+(u-w.points[1])),l+=p.shift(),u+=p.shift(),y="Q",g.push(x,C,l,u);break;case"A":k=p.shift(),T=p.shift(),P=p.shift(),$=p.shift(),O=p.shift(),E=l,A=u,l=p.shift(),u=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,A,l,u,$,O,k,T,P);break;case"a":k=p.shift(),T=p.shift(),P=p.shift(),$=p.shift(),O=p.shift(),E=l,A=u,l+=p.shift(),u+=p.shift(),y="A",g=this.convertEndpointToCenterParameterization(E,A,l,u,$,O,k,T,P);break}a.push({command:y||h,points:g,start:{x:v,y:S},pathLength:this.calcLength(v,S,y||h,g)})}(h==="z"||h==="Z")&&a.push({command:"z",points:[],start:void 0,pathLength:0})}return a}static calcLength(t,n,r,i){var o,a,s,l,u=Gr;switch(r){case"L":return u.getLineLength(t,n,i[0],i[1]);case"C":return(0,yf.getCubicArcLength)([t,i[0],i[2],i[4]],[n,i[1],i[3],i[5]],1);case"Q":return(0,yf.getQuadraticArcLength)([t,i[0],i[2]],[n,i[1],i[3]],1);case"A":o=0;var c=i[4],d=i[5],f=i[4]+d,h=Math.PI/180;if(Math.abs(c-f)<h&&(h=Math.abs(c-f)),a=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],c,0),d<0)for(l=c-h;l>f;l-=h)s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(a.x,a.y,s.x,s.y),a=s;else for(l=c+h;l<f;l+=h)s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],l,0),o+=u.getLineLength(a.x,a.y,s.x,s.y),a=s;return s=u.getPointOnEllipticalArc(i[0],i[1],i[2],i[3],f,0),o+=u.getLineLength(a.x,a.y,s.x,s.y),o}return 0}static convertEndpointToCenterParameterization(t,n,r,i,o,a,s,l,u){var c=u*(Math.PI/180),d=Math.cos(c)*(t-r)/2+Math.sin(c)*(n-i)/2,f=-1*Math.sin(c)*(t-r)/2+Math.cos(c)*(n-i)/2,h=d*d/(s*s)+f*f/(l*l);h>1&&(s*=Math.sqrt(h),l*=Math.sqrt(h));var p=Math.sqrt((s*s*(l*l)-s*s*(f*f)-l*l*(d*d))/(s*s*(f*f)+l*l*(d*d)));o===a&&(p*=-1),isNaN(p)&&(p=0);var m=p*s*f/l,_=p*-l*d/s,b=(t+r)/2+Math.cos(c)*m-Math.sin(c)*_,y=(n+i)/2+Math.sin(c)*m+Math.cos(c)*_,g=function(T){return Math.sqrt(T[0]*T[0]+T[1]*T[1])},v=function(T,P){return(T[0]*P[0]+T[1]*P[1])/(g(T)*g(P))},S=function(T,P){return(T[0]*P[1]<T[1]*P[0]?-1:1)*Math.acos(v(T,P))},w=S([1,0],[(d-m)/s,(f-_)/l]),x=[(d-m)/s,(f-_)/l],C=[(-1*d-m)/s,(-1*f-_)/l],k=S(x,C);return v(x,C)<=-1&&(k=Math.PI),v(x,C)>=1&&(k=0),a===0&&k>0&&(k=k-2*Math.PI),a===1&&k<0&&(k=k+2*Math.PI),[b,y,s,l,w,k,c,a]}}Ep.Path=Gr;Gr.prototype.className="Path";Gr.prototype._attrsAffectingSize=["data"];(0,tCe._registerNode)(Gr);Jwe.Factory.addGetterSetter(Gr,"data");Object.defineProperty(fx,"__esModule",{value:!0});fx.Arrow=void 0;const px=At,nCe=Ty,PG=Xe,rCe=Rt,gO=Ep;class Hd extends nCe.Line{_sceneFunc(t){super._sceneFunc(t);var n=Math.PI*2,r=this.points(),i=r,o=this.tension()!==0&&r.length>4;o&&(i=this.getTensionPoints());var a=this.pointerLength(),s=r.length,l,u;if(o){const f=[i[i.length-4],i[i.length-3],i[i.length-2],i[i.length-1],r[s-2],r[s-1]],h=gO.Path.calcLength(i[i.length-4],i[i.length-3],"C",f),p=gO.Path.getPointOnQuadraticBezier(Math.min(1,1-a/h),f[0],f[1],f[2],f[3],f[4],f[5]);l=r[s-2]-p.x,u=r[s-1]-p.y}else l=r[s-2]-r[s-4],u=r[s-1]-r[s-3];var c=(Math.atan2(u,l)+n)%n,d=this.pointerWidth();this.pointerAtEnding()&&(t.save(),t.beginPath(),t.translate(r[s-2],r[s-1]),t.rotate(c),t.moveTo(0,0),t.lineTo(-a,d/2),t.lineTo(-a,-d/2),t.closePath(),t.restore(),this.__fillStroke(t)),this.pointerAtBeginning()&&(t.save(),t.beginPath(),t.translate(r[0],r[1]),o?(l=(i[0]+i[2])/2-r[0],u=(i[1]+i[3])/2-r[1]):(l=r[2]-r[0],u=r[3]-r[1]),t.rotate((Math.atan2(-u,-l)+n)%n),t.moveTo(0,0),t.lineTo(-a,d/2),t.lineTo(-a,-d/2),t.closePath(),t.restore(),this.__fillStroke(t))}__fillStroke(t){var n=this.dashEnabled();n&&(this.attrs.dashEnabled=!1,t.setLineDash([])),t.fillStrokeShape(this),n&&(this.attrs.dashEnabled=!0)}getSelfRect(){const t=super.getSelfRect(),n=this.pointerWidth()/2;return{x:t.x-n,y:t.y-n,width:t.width+n*2,height:t.height+n*2}}}fx.Arrow=Hd;Hd.prototype.className="Arrow";(0,rCe._registerNode)(Hd);px.Factory.addGetterSetter(Hd,"pointerLength",10,(0,PG.getNumberValidator)());px.Factory.addGetterSetter(Hd,"pointerWidth",10,(0,PG.getNumberValidator)());px.Factory.addGetterSetter(Hd,"pointerAtBeginning",!1);px.Factory.addGetterSetter(Hd,"pointerAtEnding",!0);var gx={};Object.defineProperty(gx,"__esModule",{value:!0});gx.Circle=void 0;const iCe=At,oCe=Zr,aCe=Xe,sCe=Rt;let Tp=class extends oCe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.attrs.radius||0,0,Math.PI*2,!1),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius()!==t/2&&this.radius(t/2)}setHeight(t){this.radius()!==t/2&&this.radius(t/2)}};gx.Circle=Tp;Tp.prototype._centroid=!0;Tp.prototype.className="Circle";Tp.prototype._attrsAffectingSize=["radius"];(0,sCe._registerNode)(Tp);iCe.Factory.addGetterSetter(Tp,"radius",0,(0,aCe.getNumberValidator)());var mx={};Object.defineProperty(mx,"__esModule",{value:!0});mx.Ellipse=void 0;const EA=At,lCe=Zr,IG=Xe,uCe=Rt;class Tc extends lCe.Shape{_sceneFunc(t){var n=this.radiusX(),r=this.radiusY();t.beginPath(),t.save(),n!==r&&t.scale(1,r/n),t.arc(0,0,n,0,Math.PI*2,!1),t.restore(),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radiusX()*2}getHeight(){return this.radiusY()*2}setWidth(t){this.radiusX(t/2)}setHeight(t){this.radiusY(t/2)}}mx.Ellipse=Tc;Tc.prototype.className="Ellipse";Tc.prototype._centroid=!0;Tc.prototype._attrsAffectingSize=["radiusX","radiusY"];(0,uCe._registerNode)(Tc);EA.Factory.addComponentsGetterSetter(Tc,"radius",["x","y"]);EA.Factory.addGetterSetter(Tc,"radiusX",0,(0,IG.getNumberValidator)());EA.Factory.addGetterSetter(Tc,"radiusY",0,(0,IG.getNumberValidator)());var yx={};Object.defineProperty(yx,"__esModule",{value:!0});yx.Image=void 0;const ZC=fr,Wd=At,cCe=Zr,dCe=Rt,ky=Xe;let il=class RG extends cCe.Shape{constructor(t){super(t),this.on("imageChange.konva",()=>{this._setImageLoad()}),this._setImageLoad()}_setImageLoad(){const t=this.image();t&&t.complete||t&&t.readyState===4||t&&t.addEventListener&&t.addEventListener("load",()=>{this._requestDraw()})}_useBufferCanvas(){return super._useBufferCanvas(!0)}_sceneFunc(t){const n=this.getWidth(),r=this.getHeight(),i=this.cornerRadius(),o=this.attrs.image;let a;if(o){const s=this.attrs.cropWidth,l=this.attrs.cropHeight;s&&l?a=[o,this.cropX(),this.cropY(),s,l,0,0,n,r]:a=[o,0,0,n,r]}(this.hasFill()||this.hasStroke()||i)&&(t.beginPath(),i?ZC.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)),o&&(i&&t.clip(),t.drawImage.apply(t,a))}_hitFunc(t){var n=this.width(),r=this.height(),i=this.cornerRadius();t.beginPath(),i?ZC.Util.drawRoundedRectPath(t,n,r,i):t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}getWidth(){var t,n;return(t=this.attrs.width)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.width}getHeight(){var t,n;return(t=this.attrs.height)!==null&&t!==void 0?t:(n=this.image())===null||n===void 0?void 0:n.height}static fromURL(t,n,r=null){var i=ZC.Util.createImageElement();i.onload=function(){var o=new RG({image:i});n(o)},i.onerror=r,i.crossOrigin="Anonymous",i.src=t}};yx.Image=il;il.prototype.className="Image";(0,dCe._registerNode)(il);Wd.Factory.addGetterSetter(il,"cornerRadius",0,(0,ky.getNumberOrArrayOfNumbersValidator)(4));Wd.Factory.addGetterSetter(il,"image");Wd.Factory.addComponentsGetterSetter(il,"crop",["x","y","width","height"]);Wd.Factory.addGetterSetter(il,"cropX",0,(0,ky.getNumberValidator)());Wd.Factory.addGetterSetter(il,"cropY",0,(0,ky.getNumberValidator)());Wd.Factory.addGetterSetter(il,"cropWidth",0,(0,ky.getNumberValidator)());Wd.Factory.addGetterSetter(il,"cropHeight",0,(0,ky.getNumberValidator)());var rp={};Object.defineProperty(rp,"__esModule",{value:!0});rp.Tag=rp.Label=void 0;const vx=At,fCe=Zr,hCe=wp,TA=Xe,OG=Rt;var MG=["fontFamily","fontSize","fontStyle","padding","lineHeight","text","width","height","pointerDirection","pointerWidth","pointerHeight"],pCe="Change.konva",gCe="none",YE="up",ZE="right",JE="down",eT="left",mCe=MG.length;class kA extends hCe.Group{constructor(t){super(t),this.on("add.konva",function(n){this._addListeners(n.child),this._sync()})}getText(){return this.find("Text")[0]}getTag(){return this.find("Tag")[0]}_addListeners(t){var n=this,r,i=function(){n._sync()};for(r=0;r<mCe;r++)t.on(MG[r]+pCe,i)}getWidth(){return this.getText().width()}getHeight(){return this.getText().height()}_sync(){var t=this.getText(),n=this.getTag(),r,i,o,a,s,l,u;if(t&&n){switch(r=t.width(),i=t.height(),o=n.pointerDirection(),a=n.pointerWidth(),u=n.pointerHeight(),s=0,l=0,o){case YE:s=r/2,l=-1*u;break;case ZE:s=r+a,l=i/2;break;case JE:s=r/2,l=i+u;break;case eT:s=-1*a,l=i/2;break}n.setAttrs({x:-1*s,y:-1*l,width:r,height:i}),t.setAttrs({x:-1*s,y:-1*l})}}}rp.Label=kA;kA.prototype.className="Label";(0,OG._registerNode)(kA);class Kd extends fCe.Shape{_sceneFunc(t){var n=this.width(),r=this.height(),i=this.pointerDirection(),o=this.pointerWidth(),a=this.pointerHeight(),s=this.cornerRadius();let l=0,u=0,c=0,d=0;typeof s=="number"?l=u=c=d=Math.min(s,n/2,r/2):(l=Math.min(s[0]||0,n/2,r/2),u=Math.min(s[1]||0,n/2,r/2),d=Math.min(s[2]||0,n/2,r/2),c=Math.min(s[3]||0,n/2,r/2)),t.beginPath(),t.moveTo(l,0),i===YE&&(t.lineTo((n-o)/2,0),t.lineTo(n/2,-1*a),t.lineTo((n+o)/2,0)),t.lineTo(n-u,0),t.arc(n-u,u,u,Math.PI*3/2,0,!1),i===ZE&&(t.lineTo(n,(r-a)/2),t.lineTo(n+o,r/2),t.lineTo(n,(r+a)/2)),t.lineTo(n,r-d),t.arc(n-d,r-d,d,0,Math.PI/2,!1),i===JE&&(t.lineTo((n+o)/2,r),t.lineTo(n/2,r+a),t.lineTo((n-o)/2,r)),t.lineTo(c,r),t.arc(c,r-c,c,Math.PI/2,Math.PI,!1),i===eT&&(t.lineTo(0,(r+a)/2),t.lineTo(-1*o,r/2),t.lineTo(0,(r-a)/2)),t.lineTo(0,l),t.arc(l,l,l,Math.PI,Math.PI*3/2,!1),t.closePath(),t.fillStrokeShape(this)}getSelfRect(){var t=0,n=0,r=this.pointerWidth(),i=this.pointerHeight(),o=this.pointerDirection(),a=this.width(),s=this.height();return o===YE?(n-=i,s+=i):o===JE?s+=i:o===eT?(t-=r*1.5,a+=r):o===ZE&&(a+=r*1.5),{x:t,y:n,width:a,height:s}}}rp.Tag=Kd;Kd.prototype.className="Tag";(0,OG._registerNode)(Kd);vx.Factory.addGetterSetter(Kd,"pointerDirection",gCe);vx.Factory.addGetterSetter(Kd,"pointerWidth",0,(0,TA.getNumberValidator)());vx.Factory.addGetterSetter(Kd,"pointerHeight",0,(0,TA.getNumberValidator)());vx.Factory.addGetterSetter(Kd,"cornerRadius",0,(0,TA.getNumberOrArrayOfNumbersValidator)(4));var Ay={};Object.defineProperty(Ay,"__esModule",{value:!0});Ay.Rect=void 0;const yCe=At,vCe=Zr,bCe=Rt,_Ce=fr,SCe=Xe;let bx=class extends vCe.Shape{_sceneFunc(t){var n=this.cornerRadius(),r=this.width(),i=this.height();t.beginPath(),n?_Ce.Util.drawRoundedRectPath(t,r,i,n):t.rect(0,0,r,i),t.closePath(),t.fillStrokeShape(this)}};Ay.Rect=bx;bx.prototype.className="Rect";(0,bCe._registerNode)(bx);yCe.Factory.addGetterSetter(bx,"cornerRadius",0,(0,SCe.getNumberOrArrayOfNumbersValidator)(4));var _x={};Object.defineProperty(_x,"__esModule",{value:!0});_x.RegularPolygon=void 0;const NG=At,xCe=Zr,$G=Xe,wCe=Rt;class Qd extends xCe.Shape{_sceneFunc(t){const n=this._getPoints();t.beginPath(),t.moveTo(n[0].x,n[0].y);for(var r=1;r<n.length;r++)t.lineTo(n[r].x,n[r].y);t.closePath(),t.fillStrokeShape(this)}_getPoints(){const t=this.attrs.sides,n=this.attrs.radius||0,r=[];for(var i=0;i<t;i++)r.push({x:n*Math.sin(i*2*Math.PI/t),y:-1*n*Math.cos(i*2*Math.PI/t)});return r}getSelfRect(){const t=this._getPoints();var n=t[0].x,r=t[0].y,i=t[0].x,o=t[0].y;return t.forEach(a=>{n=Math.min(n,a.x),r=Math.max(r,a.x),i=Math.min(i,a.y),o=Math.max(o,a.y)}),{x:n,y:i,width:r-n,height:o-i}}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}_x.RegularPolygon=Qd;Qd.prototype.className="RegularPolygon";Qd.prototype._centroid=!0;Qd.prototype._attrsAffectingSize=["radius"];(0,wCe._registerNode)(Qd);NG.Factory.addGetterSetter(Qd,"radius",0,(0,$G.getNumberValidator)());NG.Factory.addGetterSetter(Qd,"sides",0,(0,$G.getNumberValidator)());var Sx={};Object.defineProperty(Sx,"__esModule",{value:!0});Sx.Ring=void 0;const DG=At,CCe=Zr,LG=Xe,ECe=Rt;var mO=Math.PI*2;class Xd extends CCe.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.innerRadius(),0,mO,!1),t.moveTo(this.outerRadius(),0),t.arc(0,0,this.outerRadius(),mO,0,!0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}Sx.Ring=Xd;Xd.prototype.className="Ring";Xd.prototype._centroid=!0;Xd.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,ECe._registerNode)(Xd);DG.Factory.addGetterSetter(Xd,"innerRadius",0,(0,LG.getNumberValidator)());DG.Factory.addGetterSetter(Xd,"outerRadius",0,(0,LG.getNumberValidator)());var xx={};Object.defineProperty(xx,"__esModule",{value:!0});xx.Sprite=void 0;const Yd=At,TCe=Zr,kCe=Cp,FG=Xe,ACe=Rt;class ol extends TCe.Shape{constructor(t){super(t),this._updated=!0,this.anim=new kCe.Animation(()=>{var n=this._updated;return this._updated=!1,n}),this.on("animationChange.konva",function(){this.frameIndex(0)}),this.on("frameIndexChange.konva",function(){this._updated=!0}),this.on("frameRateChange.konva",function(){this.anim.isRunning()&&(clearInterval(this.interval),this._setInterval())})}_sceneFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],a=this.frameOffsets(),s=o[i+0],l=o[i+1],u=o[i+2],c=o[i+3],d=this.image();if((this.hasFill()||this.hasStroke())&&(t.beginPath(),t.rect(0,0,u,c),t.closePath(),t.fillStrokeShape(this)),d)if(a){var f=a[n],h=r*2;t.drawImage(d,s,l,u,c,f[h+0],f[h+1],u,c)}else t.drawImage(d,s,l,u,c,0,0,u,c)}_hitFunc(t){var n=this.animation(),r=this.frameIndex(),i=r*4,o=this.animations()[n],a=this.frameOffsets(),s=o[i+2],l=o[i+3];if(t.beginPath(),a){var u=a[n],c=r*2;t.rect(u[c+0],u[c+1],s,l)}else t.rect(0,0,s,l);t.closePath(),t.fillShape(this)}_useBufferCanvas(){return super._useBufferCanvas(!0)}_setInterval(){var t=this;this.interval=setInterval(function(){t._updateIndex()},1e3/this.frameRate())}start(){if(!this.isRunning()){var t=this.getLayer();this.anim.setLayers(t),this._setInterval(),this.anim.start()}}stop(){this.anim.stop(),clearInterval(this.interval)}isRunning(){return this.anim.isRunning()}_updateIndex(){var t=this.frameIndex(),n=this.animation(),r=this.animations(),i=r[n],o=i.length/4;t<o-1?this.frameIndex(t+1):this.frameIndex(0)}}xx.Sprite=ol;ol.prototype.className="Sprite";(0,ACe._registerNode)(ol);Yd.Factory.addGetterSetter(ol,"animation");Yd.Factory.addGetterSetter(ol,"animations");Yd.Factory.addGetterSetter(ol,"frameOffsets");Yd.Factory.addGetterSetter(ol,"image");Yd.Factory.addGetterSetter(ol,"frameIndex",0,(0,FG.getNumberValidator)());Yd.Factory.addGetterSetter(ol,"frameRate",17,(0,FG.getNumberValidator)());Yd.Factory.backCompat(ol,{index:"frameIndex",getIndex:"getFrameIndex",setIndex:"setFrameIndex"});var wx={};Object.defineProperty(wx,"__esModule",{value:!0});wx.Star=void 0;const AA=At,PCe=Zr,PA=Xe,ICe=Rt;class kc extends PCe.Shape{_sceneFunc(t){var n=this.innerRadius(),r=this.outerRadius(),i=this.numPoints();t.beginPath(),t.moveTo(0,0-r);for(var o=1;o<i*2;o++){var a=o%2===0?r:n,s=a*Math.sin(o*Math.PI/i),l=-1*a*Math.cos(o*Math.PI/i);t.lineTo(s,l)}t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.outerRadius()*2}getHeight(){return this.outerRadius()*2}setWidth(t){this.outerRadius(t/2)}setHeight(t){this.outerRadius(t/2)}}wx.Star=kc;kc.prototype.className="Star";kc.prototype._centroid=!0;kc.prototype._attrsAffectingSize=["innerRadius","outerRadius"];(0,ICe._registerNode)(kc);AA.Factory.addGetterSetter(kc,"numPoints",5,(0,PA.getNumberValidator)());AA.Factory.addGetterSetter(kc,"innerRadius",0,(0,PA.getNumberValidator)());AA.Factory.addGetterSetter(kc,"outerRadius",0,(0,PA.getNumberValidator)());var Fd={};Object.defineProperty(Fd,"__esModule",{value:!0});Fd.Text=Fd.stringToArray=void 0;const tT=fr,co=At,RCe=Zr,Ac=Xe,OCe=Rt;function BG(e){return Array.from(e)}Fd.stringToArray=BG;var vf="auto",MCe="center",tg="justify",NCe="Change.konva",$Ce="2d",yO="-",zG="left",DCe="text",LCe="Text",FCe="top",BCe="bottom",vO="middle",jG="normal",zCe="px ",Uv=" ",jCe="right",UCe="word",VCe="char",bO="none",JC="…",UG=["fontFamily","fontSize","fontStyle","fontVariant","padding","align","verticalAlign","lineHeight","text","width","height","wrap","ellipsis","letterSpacing"],GCe=UG.length;function qCe(e){return e.split(",").map(t=>{t=t.trim();const n=t.indexOf(" ")>=0,r=t.indexOf('"')>=0||t.indexOf("'")>=0;return n&&!r&&(t=`"${t}"`),t}).join(", ")}var Vv;function e5(){return Vv||(Vv=tT.Util.createCanvasElement().getContext($Ce),Vv)}function HCe(e){e.fillText(this._partialText,this._partialTextX,this._partialTextY)}function WCe(e){e.setAttr("miterLimit",2),e.strokeText(this._partialText,this._partialTextX,this._partialTextY)}function KCe(e){return e=e||{},!e.fillLinearGradientColorStops&&!e.fillRadialGradientColorStops&&!e.fillPatternImage&&(e.fill=e.fill||"black"),e}let Ar=class extends RCe.Shape{constructor(t){super(KCe(t)),this._partialTextX=0,this._partialTextY=0;for(var n=0;n<GCe;n++)this.on(UG[n]+NCe,this._setTextData);this._setTextData()}_sceneFunc(t){var n=this.textArr,r=n.length;if(this.text()){var i=this.padding(),o=this.fontSize(),a=this.lineHeight()*o,s=this.verticalAlign(),l=0,u=this.align(),c=this.getWidth(),d=this.letterSpacing(),f=this.fill(),h=this.textDecoration(),p=h.indexOf("underline")!==-1,m=h.indexOf("line-through")!==-1,_,b=0,b=a/2,y=0,g=0;for(t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",vO),t.setAttr("textAlign",zG),s===vO?l=(this.getHeight()-r*a-i*2)/2:s===BCe&&(l=this.getHeight()-r*a-i*2),t.translate(i,l+i),_=0;_<r;_++){var y=0,g=0,v=n[_],S=v.text,w=v.width,x=v.lastInParagraph,C,k,T;if(t.save(),u===jCe?y+=c-w-i*2:u===MCe&&(y+=(c-w-i*2)/2),p){t.save(),t.beginPath(),t.moveTo(y,b+g+Math.round(o/2)),C=S.split(" ").length-1,k=C===0,T=u===tg&&!x?c-i*2:w,t.lineTo(y+Math.round(T),b+g+Math.round(o/2)),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(m){t.save(),t.beginPath(),t.moveTo(y,b+g),C=S.split(" ").length-1,k=C===0,T=u===tg&&x&&!k?c-i*2:w,t.lineTo(y+Math.round(T),b+g),t.lineWidth=o/15;const D=this._getLinearGradient();t.strokeStyle=D||f,t.stroke(),t.restore()}if(d!==0||u===tg){C=S.split(" ").length-1;for(var P=BG(S),$=0;$<P.length;$++){var O=P[$];O===" "&&!x&&u===tg&&(y+=(c-i*2-w)/C),this._partialTextX=y,this._partialTextY=b+g,this._partialText=O,t.fillStrokeShape(this),y+=this.measureSize(O).width+d}}else this._partialTextX=y,this._partialTextY=b+g,this._partialText=S,t.fillStrokeShape(this);t.restore(),r>1&&(b+=a)}}}_hitFunc(t){var n=this.getWidth(),r=this.getHeight();t.beginPath(),t.rect(0,0,n,r),t.closePath(),t.fillStrokeShape(this)}setText(t){var n=tT.Util._isString(t)?t:t==null?"":t+"";return this._setAttr(DCe,n),this}getWidth(){var t=this.attrs.width===vf||this.attrs.width===void 0;return t?this.getTextWidth()+this.padding()*2:this.attrs.width}getHeight(){var t=this.attrs.height===vf||this.attrs.height===void 0;return t?this.fontSize()*this.textArr.length*this.lineHeight()+this.padding()*2:this.attrs.height}getTextWidth(){return this.textWidth}getTextHeight(){return tT.Util.warn("text.getTextHeight() method is deprecated. Use text.height() - for full height and text.fontSize() - for one line height."),this.textHeight}measureSize(t){var n=e5(),r=this.fontSize(),i;return n.save(),n.font=this._getContextFont(),i=n.measureText(t),n.restore(),{width:i.width,height:r}}_getContextFont(){return this.fontStyle()+Uv+this.fontVariant()+Uv+(this.fontSize()+zCe)+qCe(this.fontFamily())}_addTextLine(t){this.align()===tg&&(t=t.trim());var r=this._getTextWidth(t);return this.textArr.push({text:t,width:r,lastInParagraph:!1})}_getTextWidth(t){var n=this.letterSpacing(),r=t.length;return e5().measureText(t).width+(r?n*(r-1):0)}_setTextData(){var t=this.text().split(`
-`),n=+this.fontSize(),r=0,i=this.lineHeight()*n,o=this.attrs.width,a=this.attrs.height,s=o!==vf&&o!==void 0,l=a!==vf&&a!==void 0,u=this.padding(),c=o-u*2,d=a-u*2,f=0,h=this.wrap(),p=h!==bO,m=h!==VCe&&p,_=this.ellipsis();this.textArr=[],e5().font=this._getContextFont();for(var b=_?this._getTextWidth(JC):0,y=0,g=t.length;y<g;++y){var v=t[y],S=this._getTextWidth(v);if(s&&S>c)for(;v.length>0;){for(var w=0,x=v.length,C="",k=0;w<x;){var T=w+x>>>1,P=v.slice(0,T+1),$=this._getTextWidth(P)+b;$<=c?(w=T+1,C=P,k=$):x=T}if(C){if(m){var O,E=v[C.length],A=E===Uv||E===yO;A&&k<=c?O=C.length:O=Math.max(C.lastIndexOf(Uv),C.lastIndexOf(yO))+1,O>0&&(w=O,C=C.slice(0,w),k=this._getTextWidth(C))}C=C.trimRight(),this._addTextLine(C),r=Math.max(r,k),f+=i;var D=this._shouldHandleEllipsis(f);if(D){this._tryToAddEllipsisToLastLine();break}if(v=v.slice(w),v=v.trimLeft(),v.length>0&&(S=this._getTextWidth(v),S<=c)){this._addTextLine(v),f+=i,r=Math.max(r,S);break}}else break}else this._addTextLine(v),f+=i,r=Math.max(r,S),this._shouldHandleEllipsis(f)&&y<g-1&&this._tryToAddEllipsisToLastLine();if(this.textArr[this.textArr.length-1]&&(this.textArr[this.textArr.length-1].lastInParagraph=!0),l&&f+i>d)break}this.textHeight=n,this.textWidth=r}_shouldHandleEllipsis(t){var n=+this.fontSize(),r=this.lineHeight()*n,i=this.attrs.height,o=i!==vf&&i!==void 0,a=this.padding(),s=i-a*2,l=this.wrap(),u=l!==bO;return!u||o&&t+r>s}_tryToAddEllipsisToLastLine(){var t=this.attrs.width,n=t!==vf&&t!==void 0,r=this.padding(),i=t-r*2,o=this.ellipsis(),a=this.textArr[this.textArr.length-1];if(!(!a||!o)){if(n){var s=this._getTextWidth(a.text+JC)<i;s||(a.text=a.text.slice(0,a.text.length-3))}this.textArr.splice(this.textArr.length-1,1),this._addTextLine(a.text+JC)}}getStrokeScaleEnabled(){return!0}};Fd.Text=Ar;Ar.prototype._fillFunc=HCe;Ar.prototype._strokeFunc=WCe;Ar.prototype.className=LCe;Ar.prototype._attrsAffectingSize=["text","fontSize","padding","wrap","lineHeight","letterSpacing"];(0,OCe._registerNode)(Ar);co.Factory.overWriteSetter(Ar,"width",(0,Ac.getNumberOrAutoValidator)());co.Factory.overWriteSetter(Ar,"height",(0,Ac.getNumberOrAutoValidator)());co.Factory.addGetterSetter(Ar,"fontFamily","Arial");co.Factory.addGetterSetter(Ar,"fontSize",12,(0,Ac.getNumberValidator)());co.Factory.addGetterSetter(Ar,"fontStyle",jG);co.Factory.addGetterSetter(Ar,"fontVariant",jG);co.Factory.addGetterSetter(Ar,"padding",0,(0,Ac.getNumberValidator)());co.Factory.addGetterSetter(Ar,"align",zG);co.Factory.addGetterSetter(Ar,"verticalAlign",FCe);co.Factory.addGetterSetter(Ar,"lineHeight",1,(0,Ac.getNumberValidator)());co.Factory.addGetterSetter(Ar,"wrap",UCe);co.Factory.addGetterSetter(Ar,"ellipsis",!1,(0,Ac.getBooleanValidator)());co.Factory.addGetterSetter(Ar,"letterSpacing",0,(0,Ac.getNumberValidator)());co.Factory.addGetterSetter(Ar,"text","",(0,Ac.getStringValidator)());co.Factory.addGetterSetter(Ar,"textDecoration","");var Cx={};Object.defineProperty(Cx,"__esModule",{value:!0});Cx.TextPath=void 0;const t5=fr,ps=At,QCe=Zr,ng=Ep,n5=Fd,VG=Xe,XCe=Rt;var YCe="",GG="normal";function qG(e){e.fillText(this.partialText,0,0)}function HG(e){e.strokeText(this.partialText,0,0)}class Jr extends QCe.Shape{constructor(t){super(t),this.dummyCanvas=t5.Util.createCanvasElement(),this.dataArray=[],this._readDataAttribute(),this.on("dataChange.konva",function(){this._readDataAttribute(),this._setTextData()}),this.on("textChange.konva alignChange.konva letterSpacingChange.konva kerningFuncChange.konva fontSizeChange.konva fontFamilyChange.konva",this._setTextData),this._setTextData()}_getTextPathLength(){return ng.Path.getPathLength(this.dataArray)}_getPointAtLength(t){if(!this.attrs.data)return null;const n=this.pathLength;return t-1>n?null:ng.Path.getPointAtLengthOfDataArray(t,this.dataArray)}_readDataAttribute(){this.dataArray=ng.Path.parsePathData(this.attrs.data),this.pathLength=this._getTextPathLength()}_sceneFunc(t){t.setAttr("font",this._getContextFont()),t.setAttr("textBaseline",this.textBaseline()),t.setAttr("textAlign","left"),t.save();var n=this.textDecoration(),r=this.fill(),i=this.fontSize(),o=this.glyphInfo;n==="underline"&&t.beginPath();for(var a=0;a<o.length;a++){t.save();var s=o[a].p0;t.translate(s.x,s.y),t.rotate(o[a].rotation),this.partialText=o[a].text,t.fillStrokeShape(this),n==="underline"&&(a===0&&t.moveTo(0,i/2+1),t.lineTo(i,i/2+1)),t.restore()}n==="underline"&&(t.strokeStyle=r,t.lineWidth=i/20,t.stroke()),t.restore()}_hitFunc(t){t.beginPath();var n=this.glyphInfo;if(n.length>=1){var r=n[0].p0;t.moveTo(r.x,r.y)}for(var i=0;i<n.length;i++){var o=n[i].p1;t.lineTo(o.x,o.y)}t.setAttr("lineWidth",this.fontSize()),t.setAttr("strokeStyle",this.colorKey),t.stroke()}getTextWidth(){return this.textWidth}getTextHeight(){return t5.Util.warn("text.getTextHeight() method is deprecated. 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"&&i==="justify"){const y=this.text().split(" ").length-1;f+=(this.pathLength-a)/y}const h=this._getPointAtLength(u+f);if(!h)return;const p=ng.Path.getLineLength(d.x,d.y,h.x,h.y);let m=0;if(o)try{m=o(l[c-1],l[c])*this.fontSize()}catch{m=0}d.x+=m,h.x+=m,this.textWidth+=m;const _=ng.Path.getPointOnLine(m+p/2,d.x,d.y,h.x,h.y),b=Math.atan2(h.y-d.y,h.x-d.x);this.glyphInfo.push({transposeX:_.x,transposeY:_.y,text:l[c],rotation:b,p0:d,p1:h}),u+=f}}getSelfRect(){if(!this.glyphInfo.length)return{x:0,y:0,width:0,height:0};var t=[];this.glyphInfo.forEach(function(c){t.push(c.p0.x),t.push(c.p0.y),t.push(c.p1.x),t.push(c.p1.y)});for(var n=t[0]||0,r=t[0]||0,i=t[1]||0,o=t[1]||0,a,s,l=0;l<t.length/2;l++)a=t[l*2],s=t[l*2+1],n=Math.min(n,a),r=Math.max(r,a),i=Math.min(i,s),o=Math.max(o,s);var u=this.fontSize();return{x:n-u/2,y:i-u/2,width:r-n+u,height:o-i+u}}destroy(){return t5.Util.releaseCanvas(this.dummyCanvas),super.destroy()}}Cx.TextPath=Jr;Jr.prototype._fillFunc=qG;Jr.prototype._strokeFunc=HG;Jr.prototype._fillFuncHit=qG;Jr.prototype._strokeFuncHit=HG;Jr.prototype.className="TextPath";Jr.prototype._attrsAffectingSize=["text","fontSize","data"];(0,XCe._registerNode)(Jr);ps.Factory.addGetterSetter(Jr,"data");ps.Factory.addGetterSetter(Jr,"fontFamily","Arial");ps.Factory.addGetterSetter(Jr,"fontSize",12,(0,VG.getNumberValidator)());ps.Factory.addGetterSetter(Jr,"fontStyle",GG);ps.Factory.addGetterSetter(Jr,"align","left");ps.Factory.addGetterSetter(Jr,"letterSpacing",0,(0,VG.getNumberValidator)());ps.Factory.addGetterSetter(Jr,"textBaseline","middle");ps.Factory.addGetterSetter(Jr,"fontVariant",GG);ps.Factory.addGetterSetter(Jr,"text",YCe);ps.Factory.addGetterSetter(Jr,"textDecoration",null);ps.Factory.addGetterSetter(Jr,"kerningFunc",null);var Ex={};Object.defineProperty(Ex,"__esModule",{value:!0});Ex.Transformer=void 0;const En=fr,bn=At,_O=ir,ZCe=Zr,JCe=Ay,SO=wp,ja=Rt,Pc=Xe,e5e=Rt;var WG="tr-konva",t5e=["resizeEnabledChange","rotateAnchorOffsetChange","rotateEnabledChange","enabledAnchorsChange","anchorSizeChange","borderEnabledChange","borderStrokeChange","borderStrokeWidthChange","borderDashChange","anchorStrokeChange","anchorStrokeWidthChange","anchorFillChange","anchorCornerRadiusChange","ignoreStrokeChange","anchorStyleFuncChange"].map(e=>e+`.${WG}`).join(" "),xO="nodesRect",n5e=["widthChange","heightChange","scaleXChange","scaleYChange","skewXChange","skewYChange","rotationChange","offsetXChange","offsetYChange","transformsEnabledChange","strokeWidthChange"],r5e={"top-left":-45,"top-center":0,"top-right":45,"middle-right":-90,"middle-left":90,"bottom-left":-135,"bottom-center":180,"bottom-right":135};const i5e="ontouchstart"in ja.Konva._global;function o5e(e,t){if(e==="rotater")return"crosshair";t+=En.Util.degToRad(r5e[e]||0);var n=(En.Util.radToDeg(t)%360+360)%360;return En.Util._inRange(n,315+22.5,360)||En.Util._inRange(n,0,22.5)?"ns-resize":En.Util._inRange(n,45-22.5,45+22.5)?"nesw-resize":En.Util._inRange(n,90-22.5,90+22.5)?"ew-resize":En.Util._inRange(n,135-22.5,135+22.5)?"nwse-resize":En.Util._inRange(n,180-22.5,180+22.5)?"ns-resize":En.Util._inRange(n,225-22.5,225+22.5)?"nesw-resize":En.Util._inRange(n,270-22.5,270+22.5)?"ew-resize":En.Util._inRange(n,315-22.5,315+22.5)?"nwse-resize":(En.Util.error("Transformer has unknown angle for cursor detection: "+n),"pointer")}var B_=["top-left","top-center","top-right","middle-right","middle-left","bottom-left","bottom-center","bottom-right"],wO=1e8;function a5e(e){return{x:e.x+e.width/2*Math.cos(e.rotation)+e.height/2*Math.sin(-e.rotation),y:e.y+e.height/2*Math.cos(e.rotation)+e.width/2*Math.sin(e.rotation)}}function KG(e,t,n){const r=n.x+(e.x-n.x)*Math.cos(t)-(e.y-n.y)*Math.sin(t),i=n.y+(e.x-n.x)*Math.sin(t)+(e.y-n.y)*Math.cos(t);return Object.assign(Object.assign({},e),{rotation:e.rotation+t,x:r,y:i})}function s5e(e,t){const n=a5e(e);return KG(e,t,n)}function l5e(e,t,n){let r=t;for(let i=0;i<e.length;i++){const o=ja.Konva.getAngle(e[i]),a=Math.abs(o-t)%(Math.PI*2);Math.min(a,Math.PI*2-a)<n&&(r=o)}return r}class Jt extends SO.Group{constructor(t){super(t),this._transforming=!1,this._createElements(),this._handleMouseMove=this._handleMouseMove.bind(this),this._handleMouseUp=this._handleMouseUp.bind(this),this.update=this.update.bind(this),this.on(t5e,this.update),this.getNode()&&this.update()}attachTo(t){return this.setNode(t),this}setNode(t){return En.Util.warn("tr.setNode(shape), tr.node(shape) and tr.attachTo(shape) methods are deprecated. Please use tr.nodes(nodesArray) instead."),this.setNodes([t])}getNode(){return this._nodes&&this._nodes[0]}_getEventNamespace(){return WG+this._id}setNodes(t=[]){this._nodes&&this._nodes.length&&this.detach();const n=t.filter(i=>i.isAncestorOf(this)?(En.Util.error("Konva.Transformer cannot be an a child of the node you are trying to attach"),!1):!0);this._nodes=t=n,t.length===1&&this.useSingleNodeRotation()?this.rotation(t[0].getAbsoluteRotation()):this.rotation(0),this._nodes.forEach(i=>{const o=()=>{this.nodes().length===1&&this.useSingleNodeRotation()&&this.rotation(this.nodes()[0].getAbsoluteRotation()),this._resetTransformCache(),!this._transforming&&!this.isDragging()&&this.update()},a=i._attrsAffectingSize.map(s=>s+"Change."+this._getEventNamespace()).join(" ");i.on(a,o),i.on(n5e.map(s=>s+`.${this._getEventNamespace()}`).join(" "),o),i.on(`absoluteTransformChange.${this._getEventNamespace()}`,o),this._proxyDrag(i)}),this._resetTransformCache();var r=!!this.findOne(".top-left");return r&&this.update(),this}_proxyDrag(t){let n;t.on(`dragstart.${this._getEventNamespace()}`,r=>{n=t.getAbsolutePosition(),!this.isDragging()&&t!==this.findOne(".back")&&this.startDrag(r,!1)}),t.on(`dragmove.${this._getEventNamespace()}`,r=>{if(!n)return;const i=t.getAbsolutePosition(),o=i.x-n.x,a=i.y-n.y;this.nodes().forEach(s=>{if(s===t||s.isDragging())return;const l=s.getAbsolutePosition();s.setAbsolutePosition({x:l.x+o,y:l.y+a}),s.startDrag(r)}),n=null})}getNodes(){return this._nodes||[]}getActiveAnchor(){return this._movingAnchorName}detach(){this._nodes&&this._nodes.forEach(t=>{t.off("."+this._getEventNamespace())}),this._nodes=[],this._resetTransformCache()}_resetTransformCache(){this._clearCache(xO),this._clearCache("transform"),this._clearSelfAndDescendantCache("absoluteTransform")}_getNodeRect(){return this._getCache(xO,this.__getNodeRect)}__getNodeShape(t,n=this.rotation(),r){var i=t.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()}),o=t.getAbsoluteScale(r),a=t.getAbsolutePosition(r),s=i.x*o.x-t.offsetX()*o.x,l=i.y*o.y-t.offsetY()*o.y;const u=(ja.Konva.getAngle(t.getAbsoluteRotation())+Math.PI*2)%(Math.PI*2),c={x:a.x+s*Math.cos(u)+l*Math.sin(-u),y:a.y+l*Math.cos(u)+s*Math.sin(u),width:i.width*o.x,height:i.height*o.y,rotation:u};return KG(c,-ja.Konva.getAngle(n),{x:0,y:0})}__getNodeRect(){var t=this.getNode();if(!t)return{x:-wO,y:-wO,width:0,height:0,rotation:0};const n=[];this.nodes().map(u=>{const c=u.getClientRect({skipTransform:!0,skipShadow:!0,skipStroke:this.ignoreStroke()});var d=[{x:c.x,y:c.y},{x:c.x+c.width,y:c.y},{x:c.x+c.width,y:c.y+c.height},{x:c.x,y:c.y+c.height}],f=u.getAbsoluteTransform();d.forEach(function(h){var p=f.point(h);n.push(p)})});const r=new En.Transform;r.rotate(-ja.Konva.getAngle(this.rotation()));var i,o,a,s;n.forEach(function(u){var c=r.point(u);i===void 0&&(i=a=c.x,o=s=c.y),i=Math.min(i,c.x),o=Math.min(o,c.y),a=Math.max(a,c.x),s=Math.max(s,c.y)}),r.invert();const l=r.point({x:i,y:o});return{x:l.x,y:l.y,width:a-i,height:s-o,rotation:ja.Konva.getAngle(this.rotation())}}getX(){return this._getNodeRect().x}getY(){return this._getNodeRect().y}getWidth(){return this._getNodeRect().width}getHeight(){return this._getNodeRect().height}_createElements(){this._createBack(),B_.forEach((function(t){this._createAnchor(t)}).bind(this)),this._createAnchor("rotater")}_createAnchor(t){var n=new JCe.Rect({stroke:"rgb(0, 161, 255)",fill:"white",strokeWidth:1,name:t+" _anchor",dragDistance:0,draggable:!0,hitStrokeWidth:i5e?10:"auto"}),r=this;n.on("mousedown touchstart",function(i){r._handleMouseDown(i)}),n.on("dragstart",i=>{n.stopDrag(),i.cancelBubble=!0}),n.on("dragend",i=>{i.cancelBubble=!0}),n.on("mouseenter",()=>{var i=ja.Konva.getAngle(this.rotation()),o=o5e(t,i);n.getStage().content&&(n.getStage().content.style.cursor=o),this._cursorChange=!0}),n.on("mouseout",()=>{n.getStage().content&&(n.getStage().content.style.cursor=""),this._cursorChange=!1}),this.add(n)}_createBack(){var t=new ZCe.Shape({name:"back",width:0,height:0,draggable:!0,sceneFunc(n){var r=this.getParent(),i=r.padding();n.beginPath(),n.rect(-i,-i,this.width()+i*2,this.height()+i*2),n.moveTo(this.width()/2,-i),r.rotateEnabled()&&n.lineTo(this.width()/2,-r.rotateAnchorOffset()*En.Util._sign(this.height())-i),n.fillStrokeShape(this)},hitFunc:(n,r)=>{if(this.shouldOverdrawWholeArea()){var i=this.padding();n.beginPath(),n.rect(-i,-i,r.width()+i*2,r.height()+i*2),n.fillStrokeShape(r)}}});this.add(t),this._proxyDrag(t),t.on("dragstart",n=>{n.cancelBubble=!0}),t.on("dragmove",n=>{n.cancelBubble=!0}),t.on("dragend",n=>{n.cancelBubble=!0}),this.on("dragmove",n=>{this.update()})}_handleMouseDown(t){this._movingAnchorName=t.target.name().split(" ")[0];var n=this._getNodeRect(),r=n.width,i=n.height,o=Math.sqrt(Math.pow(r,2)+Math.pow(i,2));this.sin=Math.abs(i/o),this.cos=Math.abs(r/o),typeof window<"u"&&(window.addEventListener("mousemove",this._handleMouseMove),window.addEventListener("touchmove",this._handleMouseMove),window.addEventListener("mouseup",this._handleMouseUp,!0),window.addEventListener("touchend",this._handleMouseUp,!0)),this._transforming=!0;var a=t.target.getAbsolutePosition(),s=t.target.getStage().getPointerPosition();this._anchorDragOffset={x:s.x-a.x,y:s.y-a.y},this._fire("transformstart",{evt:t.evt,target:this.getNode()}),this._nodes.forEach(l=>{l._fire("transformstart",{evt:t.evt,target:l})})}_handleMouseMove(t){var n,r,i,o=this.findOne("."+this._movingAnchorName),a=o.getStage();a.setPointersPositions(t);const s=a.getPointerPosition();let l={x:s.x-this._anchorDragOffset.x,y:s.y-this._anchorDragOffset.y};const u=o.getAbsolutePosition();this.anchorDragBoundFunc()&&(l=this.anchorDragBoundFunc()(u,l,t)),o.setAbsolutePosition(l);const c=o.getAbsolutePosition();if(!(u.x===c.x&&u.y===c.y)){if(this._movingAnchorName==="rotater"){var d=this._getNodeRect();n=o.x()-d.width/2,r=-o.y()+d.height/2;let O=Math.atan2(-r,n)+Math.PI/2;d.height<0&&(O-=Math.PI);var f=ja.Konva.getAngle(this.rotation());const E=f+O,A=ja.Konva.getAngle(this.rotationSnapTolerance()),L=l5e(this.rotationSnaps(),E,A)-d.rotation,M=s5e(d,L);this._fitNodesInto(M,t);return}var h=this.shiftBehavior(),p;h==="inverted"?p=this.keepRatio()&&!t.shiftKey:h==="none"?p=this.keepRatio():p=this.keepRatio()||t.shiftKey;var g=this.centeredScaling()||t.altKey;if(this._movingAnchorName==="top-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-right").x(),y:this.findOne(".bottom-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(m.y-o.y(),2));var _=this.findOne(".top-left").x()>m.x?-1:1,b=this.findOne(".top-left").y()>m.y?-1:1;n=i*this.cos*_,r=i*this.sin*b,this.findOne(".top-left").x(m.x-n),this.findOne(".top-left").y(m.y-r)}}else if(this._movingAnchorName==="top-center")this.findOne(".top-left").y(o.y());else if(this._movingAnchorName==="top-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".bottom-left").x(),y:this.findOne(".bottom-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(m.y-o.y(),2));var _=this.findOne(".top-right").x()<m.x?-1:1,b=this.findOne(".top-right").y()>m.y?-1:1;n=i*this.cos*_,r=i*this.sin*b,this.findOne(".top-right").x(m.x+n),this.findOne(".top-right").y(m.y-r)}var y=o.position();this.findOne(".top-left").y(y.y),this.findOne(".bottom-right").x(y.x)}else if(this._movingAnchorName==="middle-left")this.findOne(".top-left").x(o.x());else if(this._movingAnchorName==="middle-right")this.findOne(".bottom-right").x(o.x());else if(this._movingAnchorName==="bottom-left"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-right").x(),y:this.findOne(".top-right").y()};i=Math.sqrt(Math.pow(m.x-o.x(),2)+Math.pow(o.y()-m.y,2));var _=m.x<o.x()?-1:1,b=o.y()<m.y?-1:1;n=i*this.cos*_,r=i*this.sin*b,o.x(m.x-n),o.y(m.y+r)}y=o.position(),this.findOne(".top-left").x(y.x),this.findOne(".bottom-right").y(y.y)}else if(this._movingAnchorName==="bottom-center")this.findOne(".bottom-right").y(o.y());else if(this._movingAnchorName==="bottom-right"){if(p){var m=g?{x:this.width()/2,y:this.height()/2}:{x:this.findOne(".top-left").x(),y:this.findOne(".top-left").y()};i=Math.sqrt(Math.pow(o.x()-m.x,2)+Math.pow(o.y()-m.y,2));var _=this.findOne(".bottom-right").x()<m.x?-1:1,b=this.findOne(".bottom-right").y()<m.y?-1:1;n=i*this.cos*_,r=i*this.sin*b,this.findOne(".bottom-right").x(m.x+n),this.findOne(".bottom-right").y(m.y+r)}}else console.error(new Error("Wrong position argument of selection resizer: "+this._movingAnchorName));var g=this.centeredScaling()||t.altKey;if(g){var v=this.findOne(".top-left"),S=this.findOne(".bottom-right"),w=v.x(),x=v.y(),C=this.getWidth()-S.x(),k=this.getHeight()-S.y();S.move({x:-w,y:-x}),v.move({x:C,y:k})}var T=this.findOne(".top-left").getAbsolutePosition();n=T.x,r=T.y;var P=this.findOne(".bottom-right").x()-this.findOne(".top-left").x(),$=this.findOne(".bottom-right").y()-this.findOne(".top-left").y();this._fitNodesInto({x:n,y:r,width:P,height:$,rotation:ja.Konva.getAngle(this.rotation())},t)}}_handleMouseUp(t){this._removeEvents(t)}getAbsoluteTransform(){return this.getTransform()}_removeEvents(t){if(this._transforming){this._transforming=!1,typeof window<"u"&&(window.removeEventListener("mousemove",this._handleMouseMove),window.removeEventListener("touchmove",this._handleMouseMove),window.removeEventListener("mouseup",this._handleMouseUp,!0),window.removeEventListener("touchend",this._handleMouseUp,!0));var n=this.getNode();this._fire("transformend",{evt:t,target:n}),n&&this._nodes.forEach(r=>{r._fire("transformend",{evt:t,target:r})}),this._movingAnchorName=null}}_fitNodesInto(t,n){var r=this._getNodeRect();const i=1;if(En.Util._inRange(t.width,-this.padding()*2-i,i)){this.update();return}if(En.Util._inRange(t.height,-this.padding()*2-i,i)){this.update();return}const o=this.flipEnabled();var a=new En.Transform;if(a.rotate(ja.Konva.getAngle(this.rotation())),this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("left")>=0){const d=a.point({x:-this.padding()*2,y:0});if(t.x+=d.x,t.y+=d.y,t.width+=this.padding()*2,this._movingAnchorName=this._movingAnchorName.replace("left","right"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,!o){this.update();return}}else if(this._movingAnchorName&&t.width<0&&this._movingAnchorName.indexOf("right")>=0){const d=a.point({x:this.padding()*2,y:0});if(this._movingAnchorName=this._movingAnchorName.replace("right","left"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.width+=this.padding()*2,!o){this.update();return}}if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("top")>=0){const d=a.point({x:0,y:-this.padding()*2});if(t.x+=d.x,t.y+=d.y,this._movingAnchorName=this._movingAnchorName.replace("top","bottom"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}else if(this._movingAnchorName&&t.height<0&&this._movingAnchorName.indexOf("bottom")>=0){const d=a.point({x:0,y:this.padding()*2});if(this._movingAnchorName=this._movingAnchorName.replace("bottom","top"),this._anchorDragOffset.x-=d.x,this._anchorDragOffset.y-=d.y,t.height+=this.padding()*2,!o){this.update();return}}if(this.boundBoxFunc()){const d=this.boundBoxFunc()(r,t);d?t=d:En.Util.warn("boundBoxFunc returned falsy. You should return new bound rect from it!")}const s=1e7,l=new En.Transform;l.translate(r.x,r.y),l.rotate(r.rotation),l.scale(r.width/s,r.height/s);const u=new En.Transform;u.translate(t.x,t.y),u.rotate(t.rotation),u.scale(t.width/s,t.height/s);const c=u.multiply(l.invert());this._nodes.forEach(d=>{var f;const h=d.getParent().getAbsoluteTransform(),p=d.getTransform().copy();p.translate(d.offsetX(),d.offsetY());const m=new En.Transform;m.multiply(h.copy().invert()).multiply(c).multiply(h).multiply(p);const _=m.decompose();d.setAttrs(_),this._fire("transform",{evt:n,target:d}),d._fire("transform",{evt:n,target:d}),(f=d.getLayer())===null||f===void 0||f.batchDraw()}),this.rotation(En.Util._getRotation(t.rotation)),this._resetTransformCache(),this.update(),this.getLayer().batchDraw()}forceUpdate(){this._resetTransformCache(),this.update()}_batchChangeChild(t,n){this.findOne(t).setAttrs(n)}update(){var t,n=this._getNodeRect();this.rotation(En.Util._getRotation(n.rotation));var r=n.width,i=n.height,o=this.enabledAnchors(),a=this.resizeEnabled(),s=this.padding(),l=this.anchorSize();const u=this.find("._anchor");u.forEach(d=>{d.setAttrs({width:l,height:l,offsetX:l/2,offsetY:l/2,stroke:this.anchorStroke(),strokeWidth:this.anchorStrokeWidth(),fill:this.anchorFill(),cornerRadius:this.anchorCornerRadius()})}),this._batchChangeChild(".top-left",{x:0,y:0,offsetX:l/2+s,offsetY:l/2+s,visible:a&&o.indexOf("top-left")>=0}),this._batchChangeChild(".top-center",{x:r/2,y:0,offsetY:l/2+s,visible:a&&o.indexOf("top-center")>=0}),this._batchChangeChild(".top-right",{x:r,y:0,offsetX:l/2-s,offsetY:l/2+s,visible:a&&o.indexOf("top-right")>=0}),this._batchChangeChild(".middle-left",{x:0,y:i/2,offsetX:l/2+s,visible:a&&o.indexOf("middle-left")>=0}),this._batchChangeChild(".middle-right",{x:r,y:i/2,offsetX:l/2-s,visible:a&&o.indexOf("middle-right")>=0}),this._batchChangeChild(".bottom-left",{x:0,y:i,offsetX:l/2+s,offsetY:l/2-s,visible:a&&o.indexOf("bottom-left")>=0}),this._batchChangeChild(".bottom-center",{x:r/2,y:i,offsetY:l/2-s,visible:a&&o.indexOf("bottom-center")>=0}),this._batchChangeChild(".bottom-right",{x:r,y:i,offsetX:l/2-s,offsetY:l/2-s,visible:a&&o.indexOf("bottom-right")>=0}),this._batchChangeChild(".rotater",{x:r/2,y:-this.rotateAnchorOffset()*En.Util._sign(i)-s,visible:this.rotateEnabled()}),this._batchChangeChild(".back",{width:r,height:i,visible:this.borderEnabled(),stroke:this.borderStroke(),strokeWidth:this.borderStrokeWidth(),dash:this.borderDash(),x:0,y:0});const c=this.anchorStyleFunc();c&&u.forEach(d=>{c(d)}),(t=this.getLayer())===null||t===void 0||t.batchDraw()}isTransforming(){return this._transforming}stopTransform(){if(this._transforming){this._removeEvents();var t=this.findOne("."+this._movingAnchorName);t&&t.stopDrag()}}destroy(){return this.getStage()&&this._cursorChange&&this.getStage().content&&(this.getStage().content.style.cursor=""),SO.Group.prototype.destroy.call(this),this.detach(),this._removeEvents(),this}toObject(){return _O.Node.prototype.toObject.call(this)}clone(t){var n=_O.Node.prototype.clone.call(this,t);return n}getClientRect(){return this.nodes().length>0?super.getClientRect():{x:0,y:0,width:0,height:0}}}Ex.Transformer=Jt;function u5e(e){return e instanceof Array||En.Util.warn("enabledAnchors value should be an array"),e instanceof Array&&e.forEach(function(t){B_.indexOf(t)===-1&&En.Util.warn("Unknown anchor name: "+t+". Available names are: "+B_.join(", "))}),e||[]}Jt.prototype.className="Transformer";(0,e5e._registerNode)(Jt);bn.Factory.addGetterSetter(Jt,"enabledAnchors",B_,u5e);bn.Factory.addGetterSetter(Jt,"flipEnabled",!0,(0,Pc.getBooleanValidator)());bn.Factory.addGetterSetter(Jt,"resizeEnabled",!0);bn.Factory.addGetterSetter(Jt,"anchorSize",10,(0,Pc.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"rotateEnabled",!0);bn.Factory.addGetterSetter(Jt,"rotationSnaps",[]);bn.Factory.addGetterSetter(Jt,"rotateAnchorOffset",50,(0,Pc.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"rotationSnapTolerance",5,(0,Pc.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"borderEnabled",!0);bn.Factory.addGetterSetter(Jt,"anchorStroke","rgb(0, 161, 255)");bn.Factory.addGetterSetter(Jt,"anchorStrokeWidth",1,(0,Pc.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"anchorFill","white");bn.Factory.addGetterSetter(Jt,"anchorCornerRadius",0,(0,Pc.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"borderStroke","rgb(0, 161, 255)");bn.Factory.addGetterSetter(Jt,"borderStrokeWidth",1,(0,Pc.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"borderDash");bn.Factory.addGetterSetter(Jt,"keepRatio",!0);bn.Factory.addGetterSetter(Jt,"shiftBehavior","default");bn.Factory.addGetterSetter(Jt,"centeredScaling",!1);bn.Factory.addGetterSetter(Jt,"ignoreStroke",!1);bn.Factory.addGetterSetter(Jt,"padding",0,(0,Pc.getNumberValidator)());bn.Factory.addGetterSetter(Jt,"node");bn.Factory.addGetterSetter(Jt,"nodes");bn.Factory.addGetterSetter(Jt,"boundBoxFunc");bn.Factory.addGetterSetter(Jt,"anchorDragBoundFunc");bn.Factory.addGetterSetter(Jt,"anchorStyleFunc");bn.Factory.addGetterSetter(Jt,"shouldOverdrawWholeArea",!1);bn.Factory.addGetterSetter(Jt,"useSingleNodeRotation",!0);bn.Factory.backCompat(Jt,{lineEnabled:"borderEnabled",rotateHandlerOffset:"rotateAnchorOffset",enabledHandlers:"enabledAnchors"});var Tx={};Object.defineProperty(Tx,"__esModule",{value:!0});Tx.Wedge=void 0;const kx=At,c5e=Zr,d5e=Rt,QG=Xe,f5e=Rt;class iu extends c5e.Shape{_sceneFunc(t){t.beginPath(),t.arc(0,0,this.radius(),0,d5e.Konva.getAngle(this.angle()),this.clockwise()),t.lineTo(0,0),t.closePath(),t.fillStrokeShape(this)}getWidth(){return this.radius()*2}getHeight(){return this.radius()*2}setWidth(t){this.radius(t/2)}setHeight(t){this.radius(t/2)}}Tx.Wedge=iu;iu.prototype.className="Wedge";iu.prototype._centroid=!0;iu.prototype._attrsAffectingSize=["radius"];(0,f5e._registerNode)(iu);kx.Factory.addGetterSetter(iu,"radius",0,(0,QG.getNumberValidator)());kx.Factory.addGetterSetter(iu,"angle",0,(0,QG.getNumberValidator)());kx.Factory.addGetterSetter(iu,"clockwise",!1);kx.Factory.backCompat(iu,{angleDeg:"angle",getAngleDeg:"getAngle",setAngleDeg:"setAngle"});var Ax={};Object.defineProperty(Ax,"__esModule",{value:!0});Ax.Blur=void 0;const CO=At,h5e=ir,p5e=Xe;function EO(){this.r=0,this.g=0,this.b=0,this.a=0,this.next=null}var g5e=[512,512,456,512,328,456,335,512,405,328,271,456,388,335,292,512,454,405,364,328,298,271,496,456,420,388,360,335,312,292,273,512,482,454,428,405,383,364,345,328,312,298,284,271,259,496,475,456,437,420,404,388,374,360,347,335,323,312,302,292,282,273,265,512,497,482,468,454,441,428,417,405,394,383,373,364,354,345,337,328,320,312,305,298,291,284,278,271,265,259,507,496,485,475,465,456,446,437,428,420,412,404,396,388,381,374,367,360,354,347,341,335,329,323,318,312,307,302,297,292,287,282,278,273,269,265,261,512,505,497,489,482,475,468,461,454,447,441,435,428,422,417,411,405,399,394,389,383,378,373,368,364,359,354,350,345,341,337,332,328,324,320,316,312,309,305,301,298,294,291,287,284,281,278,274,271,268,265,262,259,257,507,501,496,491,485,480,475,470,465,460,456,451,446,442,437,433,428,424,420,416,412,408,404,400,396,392,388,385,381,377,374,370,367,363,360,357,354,350,347,344,341,338,335,332,329,326,323,320,318,315,312,310,307,304,302,299,297,294,292,289,287,285,282,280,278,275,273,271,269,267,265,263,261,259],m5e=[9,11,12,13,13,14,14,15,15,15,15,16,16,16,16,17,17,17,17,17,17,17,18,18,18,18,18,18,18,18,18,19,19,19,19,19,19,19,19,19,19,19,19,19,19,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,20,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,21,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,22,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,23,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24];function y5e(e,t){var n=e.data,r=e.width,i=e.height,o,a,s,l,u,c,d,f,h,p,m,_,b,y,g,v,S,w,x,C,k,T,P,$,O=t+t+1,E=r-1,A=i-1,D=t+1,L=D*(D+1)/2,M=new EO,R=null,N=M,B=null,U=null,G=g5e[t],Z=m5e[t];for(s=1;s<O;s++)N=N.next=new EO,s===D&&(R=N);for(N.next=M,d=c=0,a=0;a<i;a++){for(v=S=w=x=f=h=p=m=0,_=D*(C=n[c]),b=D*(k=n[c+1]),y=D*(T=n[c+2]),g=D*(P=n[c+3]),f+=L*C,h+=L*k,p+=L*T,m+=L*P,N=M,s=0;s<D;s++)N.r=C,N.g=k,N.b=T,N.a=P,N=N.next;for(s=1;s<D;s++)l=c+((E<s?E:s)<<2),f+=(N.r=C=n[l])*($=D-s),h+=(N.g=k=n[l+1])*$,p+=(N.b=T=n[l+2])*$,m+=(N.a=P=n[l+3])*$,v+=C,S+=k,w+=T,x+=P,N=N.next;for(B=M,U=R,o=0;o<r;o++)n[c+3]=P=m*G>>Z,P!==0?(P=255/P,n[c]=(f*G>>Z)*P,n[c+1]=(h*G>>Z)*P,n[c+2]=(p*G>>Z)*P):n[c]=n[c+1]=n[c+2]=0,f-=_,h-=b,p-=y,m-=g,_-=B.r,b-=B.g,y-=B.b,g-=B.a,l=d+((l=o+t+1)<E?l:E)<<2,v+=B.r=n[l],S+=B.g=n[l+1],w+=B.b=n[l+2],x+=B.a=n[l+3],f+=v,h+=S,p+=w,m+=x,B=B.next,_+=C=U.r,b+=k=U.g,y+=T=U.b,g+=P=U.a,v-=C,S-=k,w-=T,x-=P,U=U.next,c+=4;d+=r}for(o=0;o<r;o++){for(S=w=x=v=h=p=m=f=0,c=o<<2,_=D*(C=n[c]),b=D*(k=n[c+1]),y=D*(T=n[c+2]),g=D*(P=n[c+3]),f+=L*C,h+=L*k,p+=L*T,m+=L*P,N=M,s=0;s<D;s++)N.r=C,N.g=k,N.b=T,N.a=P,N=N.next;for(u=r,s=1;s<=t;s++)c=u+o<<2,f+=(N.r=C=n[c])*($=D-s),h+=(N.g=k=n[c+1])*$,p+=(N.b=T=n[c+2])*$,m+=(N.a=P=n[c+3])*$,v+=C,S+=k,w+=T,x+=P,N=N.next,s<A&&(u+=r);for(c=o,B=M,U=R,a=0;a<i;a++)l=c<<2,n[l+3]=P=m*G>>Z,P>0?(P=255/P,n[l]=(f*G>>Z)*P,n[l+1]=(h*G>>Z)*P,n[l+2]=(p*G>>Z)*P):n[l]=n[l+1]=n[l+2]=0,f-=_,h-=b,p-=y,m-=g,_-=B.r,b-=B.g,y-=B.b,g-=B.a,l=o+((l=a+D)<A?l:A)*r<<2,f+=v+=B.r=n[l],h+=S+=B.g=n[l+1],p+=w+=B.b=n[l+2],m+=x+=B.a=n[l+3],B=B.next,_+=C=U.r,b+=k=U.g,y+=T=U.b,g+=P=U.a,v-=C,S-=k,w-=T,x-=P,U=U.next,c+=r}}const v5e=function(t){var n=Math.round(this.blurRadius());n>0&&y5e(t,n)};Ax.Blur=v5e;CO.Factory.addGetterSetter(h5e.Node,"blurRadius",0,(0,p5e.getNumberValidator)(),CO.Factory.afterSetFilter);var Px={};Object.defineProperty(Px,"__esModule",{value:!0});Px.Brighten=void 0;const TO=At,b5e=ir,_5e=Xe,S5e=function(e){var t=this.brightness()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=4)n[i]+=t,n[i+1]+=t,n[i+2]+=t};Px.Brighten=S5e;TO.Factory.addGetterSetter(b5e.Node,"brightness",0,(0,_5e.getNumberValidator)(),TO.Factory.afterSetFilter);var Ix={};Object.defineProperty(Ix,"__esModule",{value:!0});Ix.Contrast=void 0;const kO=At,x5e=ir,w5e=Xe,C5e=function(e){var t=Math.pow((this.contrast()+100)/100,2),n=e.data,r=n.length,i=150,o=150,a=150,s;for(s=0;s<r;s+=4)i=n[s],o=n[s+1],a=n[s+2],i/=255,i-=.5,i*=t,i+=.5,i*=255,o/=255,o-=.5,o*=t,o+=.5,o*=255,a/=255,a-=.5,a*=t,a+=.5,a*=255,i=i<0?0:i>255?255:i,o=o<0?0:o>255?255:o,a=a<0?0:a>255?255:a,n[s]=i,n[s+1]=o,n[s+2]=a};Ix.Contrast=C5e;kO.Factory.addGetterSetter(x5e.Node,"contrast",0,(0,w5e.getNumberValidator)(),kO.Factory.afterSetFilter);var Rx={};Object.defineProperty(Rx,"__esModule",{value:!0});Rx.Emboss=void 0;const cc=At,Ox=ir,E5e=fr,XG=Xe,T5e=function(e){var t=this.embossStrength()*10,n=this.embossWhiteLevel()*255,r=this.embossDirection(),i=this.embossBlend(),o=0,a=0,s=e.data,l=e.width,u=e.height,c=l*4,d=u;switch(r){case"top-left":o=-1,a=-1;break;case"top":o=-1,a=0;break;case"top-right":o=-1,a=1;break;case"right":o=0,a=1;break;case"bottom-right":o=1,a=1;break;case"bottom":o=1,a=0;break;case"bottom-left":o=1,a=-1;break;case"left":o=0,a=-1;break;default:E5e.Util.error("Unknown emboss direction: "+r)}do{var f=(d-1)*c,h=o;d+h<1&&(h=0),d+h>u&&(h=0);var p=(d-1+h)*l*4,m=l;do{var _=f+(m-1)*4,b=a;m+b<1&&(b=0),m+b>l&&(b=0);var y=p+(m-1+b)*4,g=s[_]-s[y],v=s[_+1]-s[y+1],S=s[_+2]-s[y+2],w=g,x=w>0?w:-w,C=v>0?v:-v,k=S>0?S:-S;if(C>x&&(w=v),k>x&&(w=S),w*=t,i){var T=s[_]+w,P=s[_+1]+w,$=s[_+2]+w;s[_]=T>255?255:T<0?0:T,s[_+1]=P>255?255:P<0?0:P,s[_+2]=$>255?255:$<0?0:$}else{var O=n-w;O<0?O=0:O>255&&(O=255),s[_]=s[_+1]=s[_+2]=O}}while(--m)}while(--d)};Rx.Emboss=T5e;cc.Factory.addGetterSetter(Ox.Node,"embossStrength",.5,(0,XG.getNumberValidator)(),cc.Factory.afterSetFilter);cc.Factory.addGetterSetter(Ox.Node,"embossWhiteLevel",.5,(0,XG.getNumberValidator)(),cc.Factory.afterSetFilter);cc.Factory.addGetterSetter(Ox.Node,"embossDirection","top-left",null,cc.Factory.afterSetFilter);cc.Factory.addGetterSetter(Ox.Node,"embossBlend",!1,null,cc.Factory.afterSetFilter);var Mx={};Object.defineProperty(Mx,"__esModule",{value:!0});Mx.Enhance=void 0;const AO=At,k5e=ir,A5e=Xe;function r5(e,t,n,r,i){var o=n-t,a=i-r,s;return o===0?r+a/2:a===0?r:(s=(e-t)/o,s=a*s+r,s)}const P5e=function(e){var t=e.data,n=t.length,r=t[0],i=r,o,a=t[1],s=a,l,u=t[2],c=u,d,f,h=this.enhance();if(h!==0){for(f=0;f<n;f+=4)o=t[f+0],o<r?r=o:o>i&&(i=o),l=t[f+1],l<a?a=l:l>s&&(s=l),d=t[f+2],d<u?u=d:d>c&&(c=d);i===r&&(i=255,r=0),s===a&&(s=255,a=0),c===u&&(c=255,u=0);var p,m,_,b,y,g,v,S,w;for(h>0?(m=i+h*(255-i),_=r-h*(r-0),y=s+h*(255-s),g=a-h*(a-0),S=c+h*(255-c),w=u-h*(u-0)):(p=(i+r)*.5,m=i+h*(i-p),_=r+h*(r-p),b=(s+a)*.5,y=s+h*(s-b),g=a+h*(a-b),v=(c+u)*.5,S=c+h*(c-v),w=u+h*(u-v)),f=0;f<n;f+=4)t[f+0]=r5(t[f+0],r,i,_,m),t[f+1]=r5(t[f+1],a,s,g,y),t[f+2]=r5(t[f+2],u,c,w,S)}};Mx.Enhance=P5e;AO.Factory.addGetterSetter(k5e.Node,"enhance",0,(0,A5e.getNumberValidator)(),AO.Factory.afterSetFilter);var Nx={};Object.defineProperty(Nx,"__esModule",{value:!0});Nx.Grayscale=void 0;const I5e=function(e){var t=e.data,n=t.length,r,i;for(r=0;r<n;r+=4)i=.34*t[r]+.5*t[r+1]+.16*t[r+2],t[r]=i,t[r+1]=i,t[r+2]=i};Nx.Grayscale=I5e;var $x={};Object.defineProperty($x,"__esModule",{value:!0});$x.HSL=void 0;const ip=At,IA=ir,RA=Xe;ip.Factory.addGetterSetter(IA.Node,"hue",0,(0,RA.getNumberValidator)(),ip.Factory.afterSetFilter);ip.Factory.addGetterSetter(IA.Node,"saturation",0,(0,RA.getNumberValidator)(),ip.Factory.afterSetFilter);ip.Factory.addGetterSetter(IA.Node,"luminance",0,(0,RA.getNumberValidator)(),ip.Factory.afterSetFilter);const R5e=function(e){var t=e.data,n=t.length,r=1,i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,a=this.luminance()*127,s,l=r*i*Math.cos(o*Math.PI/180),u=r*i*Math.sin(o*Math.PI/180),c=.299*r+.701*l+.167*u,d=.587*r-.587*l+.33*u,f=.114*r-.114*l-.497*u,h=.299*r-.299*l-.328*u,p=.587*r+.413*l+.035*u,m=.114*r-.114*l+.293*u,_=.299*r-.3*l+1.25*u,b=.587*r-.586*l-1.05*u,y=.114*r+.886*l-.2*u,g,v,S,w;for(s=0;s<n;s+=4)g=t[s+0],v=t[s+1],S=t[s+2],w=t[s+3],t[s+0]=c*g+d*v+f*S+a,t[s+1]=h*g+p*v+m*S+a,t[s+2]=_*g+b*v+y*S+a,t[s+3]=w};$x.HSL=R5e;var Dx={};Object.defineProperty(Dx,"__esModule",{value:!0});Dx.HSV=void 0;const op=At,OA=ir,MA=Xe,O5e=function(e){var t=e.data,n=t.length,r=Math.pow(2,this.value()),i=Math.pow(2,this.saturation()),o=Math.abs(this.hue()+360)%360,a,s=r*i*Math.cos(o*Math.PI/180),l=r*i*Math.sin(o*Math.PI/180),u=.299*r+.701*s+.167*l,c=.587*r-.587*s+.33*l,d=.114*r-.114*s-.497*l,f=.299*r-.299*s-.328*l,h=.587*r+.413*s+.035*l,p=.114*r-.114*s+.293*l,m=.299*r-.3*s+1.25*l,_=.587*r-.586*s-1.05*l,b=.114*r+.886*s-.2*l,y,g,v,S;for(a=0;a<n;a+=4)y=t[a+0],g=t[a+1],v=t[a+2],S=t[a+3],t[a+0]=u*y+c*g+d*v,t[a+1]=f*y+h*g+p*v,t[a+2]=m*y+_*g+b*v,t[a+3]=S};Dx.HSV=O5e;op.Factory.addGetterSetter(OA.Node,"hue",0,(0,MA.getNumberValidator)(),op.Factory.afterSetFilter);op.Factory.addGetterSetter(OA.Node,"saturation",0,(0,MA.getNumberValidator)(),op.Factory.afterSetFilter);op.Factory.addGetterSetter(OA.Node,"value",0,(0,MA.getNumberValidator)(),op.Factory.afterSetFilter);var Lx={};Object.defineProperty(Lx,"__esModule",{value:!0});Lx.Invert=void 0;const M5e=function(e){var t=e.data,n=t.length,r;for(r=0;r<n;r+=4)t[r]=255-t[r],t[r+1]=255-t[r+1],t[r+2]=255-t[r+2]};Lx.Invert=M5e;var Fx={};Object.defineProperty(Fx,"__esModule",{value:!0});Fx.Kaleidoscope=void 0;const z_=At,YG=ir,PO=fr,ZG=Xe;var N5e=function(e,t,n){var r=e.data,i=t.data,o=e.width,a=e.height,s=n.polarCenterX||o/2,l=n.polarCenterY||a/2,u,c,d,f=0,h=0,p=0,m=0,_,b=Math.sqrt(s*s+l*l);c=o-s,d=a-l,_=Math.sqrt(c*c+d*d),b=_>b?_:b;var y=a,g=o,v,S,w=360/g*Math.PI/180,x,C;for(S=0;S<g;S+=1)for(x=Math.sin(S*w),C=Math.cos(S*w),v=0;v<y;v+=1)c=Math.floor(s+b*v/y*C),d=Math.floor(l+b*v/y*x),u=(d*o+c)*4,f=r[u+0],h=r[u+1],p=r[u+2],m=r[u+3],u=(S+v*o)*4,i[u+0]=f,i[u+1]=h,i[u+2]=p,i[u+3]=m},$5e=function(e,t,n){var r=e.data,i=t.data,o=e.width,a=e.height,s=n.polarCenterX||o/2,l=n.polarCenterY||a/2,u,c,d,f,h,p=0,m=0,_=0,b=0,y,g=Math.sqrt(s*s+l*l);c=o-s,d=a-l,y=Math.sqrt(c*c+d*d),g=y>g?y:g;var v=a,S=o,w,x,C=n.polarRotation||0,k,T;for(c=0;c<o;c+=1)for(d=0;d<a;d+=1)f=c-s,h=d-l,w=Math.sqrt(f*f+h*h)*v/g,x=(Math.atan2(h,f)*180/Math.PI+360+C)%360,x=x*S/360,k=Math.floor(x),T=Math.floor(w),u=(T*o+k)*4,p=r[u+0],m=r[u+1],_=r[u+2],b=r[u+3],u=(d*o+c)*4,i[u+0]=p,i[u+1]=m,i[u+2]=_,i[u+3]=b};const D5e=function(e){var t=e.width,n=e.height,r,i,o,a,s,l,u,c,d,f,h=Math.round(this.kaleidoscopePower()),p=Math.round(this.kaleidoscopeAngle()),m=Math.floor(t*(p%360)/360);if(!(h<1)){var _=PO.Util.createCanvasElement();_.width=t,_.height=n;var b=_.getContext("2d").getImageData(0,0,t,n);PO.Util.releaseCanvas(_),N5e(e,b,{polarCenterX:t/2,polarCenterY:n/2});for(var y=t/Math.pow(2,h);y<=8;)y=y*2,h-=1;y=Math.ceil(y);var g=y,v=0,S=g,w=1;for(m+y>t&&(v=g,S=0,w=-1),i=0;i<n;i+=1)for(r=v;r!==S;r+=w)o=Math.round(r+m)%t,d=(t*i+o)*4,s=b.data[d+0],l=b.data[d+1],u=b.data[d+2],c=b.data[d+3],f=(t*i+r)*4,b.data[f+0]=s,b.data[f+1]=l,b.data[f+2]=u,b.data[f+3]=c;for(i=0;i<n;i+=1)for(g=Math.floor(y),a=0;a<h;a+=1){for(r=0;r<g+1;r+=1)d=(t*i+r)*4,s=b.data[d+0],l=b.data[d+1],u=b.data[d+2],c=b.data[d+3],f=(t*i+g*2-r-1)*4,b.data[f+0]=s,b.data[f+1]=l,b.data[f+2]=u,b.data[f+3]=c;g*=2}$5e(b,e,{polarRotation:0})}};Fx.Kaleidoscope=D5e;z_.Factory.addGetterSetter(YG.Node,"kaleidoscopePower",2,(0,ZG.getNumberValidator)(),z_.Factory.afterSetFilter);z_.Factory.addGetterSetter(YG.Node,"kaleidoscopeAngle",0,(0,ZG.getNumberValidator)(),z_.Factory.afterSetFilter);var Bx={};Object.defineProperty(Bx,"__esModule",{value:!0});Bx.Mask=void 0;const IO=At,L5e=ir,F5e=Xe;function Gv(e,t,n){var r=(n*e.width+t)*4,i=[];return i.push(e.data[r++],e.data[r++],e.data[r++],e.data[r++]),i}function rg(e,t){return Math.sqrt(Math.pow(e[0]-t[0],2)+Math.pow(e[1]-t[1],2)+Math.pow(e[2]-t[2],2))}function B5e(e){for(var t=[0,0,0],n=0;n<e.length;n++)t[0]+=e[n][0],t[1]+=e[n][1],t[2]+=e[n][2];return t[0]/=e.length,t[1]/=e.length,t[2]/=e.length,t}function z5e(e,t){var n=Gv(e,0,0),r=Gv(e,e.width-1,0),i=Gv(e,0,e.height-1),o=Gv(e,e.width-1,e.height-1),a=t||10;if(rg(n,r)<a&&rg(r,o)<a&&rg(o,i)<a&&rg(i,n)<a){for(var s=B5e([r,n,o,i]),l=[],u=0;u<e.width*e.height;u++){var c=rg(s,[e.data[u*4],e.data[u*4+1],e.data[u*4+2]]);l[u]=c<a?0:255}return l}}function j5e(e,t){for(var n=0;n<e.width*e.height;n++)e.data[4*n+3]=t[n]}function U5e(e,t,n){for(var r=[1,1,1,1,0,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),a=[],s=0;s<n;s++)for(var l=0;l<t;l++){for(var u=s*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=s+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,_=r[d*i+f];c+=e[m]*_}}a[u]=c===255*8?255:0}return a}function V5e(e,t,n){for(var r=[1,1,1,1,1,1,1,1,1],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),a=[],s=0;s<n;s++)for(var l=0;l<t;l++){for(var u=s*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=s+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,_=r[d*i+f];c+=e[m]*_}}a[u]=c>=255*4?255:0}return a}function G5e(e,t,n){for(var r=[.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111,.1111111111111111],i=Math.round(Math.sqrt(r.length)),o=Math.floor(i/2),a=[],s=0;s<n;s++)for(var l=0;l<t;l++){for(var u=s*t+l,c=0,d=0;d<i;d++)for(var f=0;f<i;f++){var h=s+d-o,p=l+f-o;if(h>=0&&h<n&&p>=0&&p<t){var m=h*t+p,_=r[d*i+f];c+=e[m]*_}}a[u]=c}return a}const q5e=function(e){var t=this.threshold(),n=z5e(e,t);return n&&(n=U5e(n,e.width,e.height),n=V5e(n,e.width,e.height),n=G5e(n,e.width,e.height),j5e(e,n)),e};Bx.Mask=q5e;IO.Factory.addGetterSetter(L5e.Node,"threshold",0,(0,F5e.getNumberValidator)(),IO.Factory.afterSetFilter);var zx={};Object.defineProperty(zx,"__esModule",{value:!0});zx.Noise=void 0;const RO=At,H5e=ir,W5e=Xe,K5e=function(e){var t=this.noise()*255,n=e.data,r=n.length,i=t/2,o;for(o=0;o<r;o+=4)n[o+0]+=i-2*i*Math.random(),n[o+1]+=i-2*i*Math.random(),n[o+2]+=i-2*i*Math.random()};zx.Noise=K5e;RO.Factory.addGetterSetter(H5e.Node,"noise",.2,(0,W5e.getNumberValidator)(),RO.Factory.afterSetFilter);var jx={};Object.defineProperty(jx,"__esModule",{value:!0});jx.Pixelate=void 0;const OO=At,Q5e=fr,X5e=ir,Y5e=Xe,Z5e=function(e){var t=Math.ceil(this.pixelSize()),n=e.width,r=e.height,i,o,a,s,l,u,c,d=Math.ceil(n/t),f=Math.ceil(r/t),h,p,m,_,b,y,g,v=e.data;if(t<=0){Q5e.Util.error("pixelSize value can not be <= 0");return}for(b=0;b<d;b+=1)for(y=0;y<f;y+=1){for(s=0,l=0,u=0,c=0,h=b*t,p=h+t,m=y*t,_=m+t,g=0,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<_;o+=1)o>=r||(a=(n*o+i)*4,s+=v[a+0],l+=v[a+1],u+=v[a+2],c+=v[a+3],g+=1);for(s=s/g,l=l/g,u=u/g,c=c/g,i=h;i<p;i+=1)if(!(i>=n))for(o=m;o<_;o+=1)o>=r||(a=(n*o+i)*4,v[a+0]=s,v[a+1]=l,v[a+2]=u,v[a+3]=c)}};jx.Pixelate=Z5e;OO.Factory.addGetterSetter(X5e.Node,"pixelSize",8,(0,Y5e.getNumberValidator)(),OO.Factory.afterSetFilter);var Ux={};Object.defineProperty(Ux,"__esModule",{value:!0});Ux.Posterize=void 0;const MO=At,J5e=ir,e3e=Xe,t3e=function(e){var t=Math.round(this.levels()*254)+1,n=e.data,r=n.length,i=255/t,o;for(o=0;o<r;o+=1)n[o]=Math.floor(n[o]/i)*i};Ux.Posterize=t3e;MO.Factory.addGetterSetter(J5e.Node,"levels",.5,(0,e3e.getNumberValidator)(),MO.Factory.afterSetFilter);var Vx={};Object.defineProperty(Vx,"__esModule",{value:!0});Vx.RGB=void 0;const j_=At,NA=ir,n3e=Xe,r3e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),a,s;for(a=0;a<n;a+=4)s=(.34*t[a]+.5*t[a+1]+.16*t[a+2])/255,t[a]=s*r,t[a+1]=s*i,t[a+2]=s*o,t[a+3]=t[a+3]};Vx.RGB=r3e;j_.Factory.addGetterSetter(NA.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});j_.Factory.addGetterSetter(NA.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});j_.Factory.addGetterSetter(NA.Node,"blue",0,n3e.RGBComponent,j_.Factory.afterSetFilter);var Gx={};Object.defineProperty(Gx,"__esModule",{value:!0});Gx.RGBA=void 0;const _0=At,qx=ir,i3e=Xe,o3e=function(e){var t=e.data,n=t.length,r=this.red(),i=this.green(),o=this.blue(),a=this.alpha(),s,l;for(s=0;s<n;s+=4)l=1-a,t[s]=r*a+t[s]*l,t[s+1]=i*a+t[s+1]*l,t[s+2]=o*a+t[s+2]*l};Gx.RGBA=o3e;_0.Factory.addGetterSetter(qx.Node,"red",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});_0.Factory.addGetterSetter(qx.Node,"green",0,function(e){return this._filterUpToDate=!1,e>255?255:e<0?0:Math.round(e)});_0.Factory.addGetterSetter(qx.Node,"blue",0,i3e.RGBComponent,_0.Factory.afterSetFilter);_0.Factory.addGetterSetter(qx.Node,"alpha",1,function(e){return this._filterUpToDate=!1,e>1?1:e<0?0:e});var Hx={};Object.defineProperty(Hx,"__esModule",{value:!0});Hx.Sepia=void 0;const a3e=function(e){var t=e.data,n=t.length,r,i,o,a;for(r=0;r<n;r+=4)i=t[r+0],o=t[r+1],a=t[r+2],t[r+0]=Math.min(255,i*.393+o*.769+a*.189),t[r+1]=Math.min(255,i*.349+o*.686+a*.168),t[r+2]=Math.min(255,i*.272+o*.534+a*.131)};Hx.Sepia=a3e;var Wx={};Object.defineProperty(Wx,"__esModule",{value:!0});Wx.Solarize=void 0;const s3e=function(e){var t=e.data,n=e.width,r=e.height,i=n*4,o=r;do{var a=(o-1)*i,s=n;do{var l=a+(s-1)*4,u=t[l],c=t[l+1],d=t[l+2];u>127&&(u=255-u),c>127&&(c=255-c),d>127&&(d=255-d),t[l]=u,t[l+1]=c,t[l+2]=d}while(--s)}while(--o)};Wx.Solarize=s3e;var Kx={};Object.defineProperty(Kx,"__esModule",{value:!0});Kx.Threshold=void 0;const NO=At,l3e=ir,u3e=Xe,c3e=function(e){var t=this.threshold()*255,n=e.data,r=n.length,i;for(i=0;i<r;i+=1)n[i]=n[i]<t?0:255};Kx.Threshold=c3e;NO.Factory.addGetterSetter(l3e.Node,"threshold",.5,(0,u3e.getNumberValidator)(),NO.Factory.afterSetFilter);Object.defineProperty(rx,"__esModule",{value:!0});rx.Konva=void 0;const $O=vG,d3e=ux,f3e=fx,h3e=gx,p3e=mx,g3e=yx,DO=rp,m3e=Ty,y3e=Ep,v3e=Ay,b3e=_x,_3e=Sx,S3e=xx,x3e=wx,w3e=Fd,C3e=Cx,E3e=Ex,T3e=Tx,k3e=Ax,A3e=Px,P3e=Ix,I3e=Rx,R3e=Mx,O3e=Nx,M3e=$x,N3e=Dx,$3e=Lx,D3e=Fx,L3e=Bx,F3e=zx,B3e=jx,z3e=Ux,j3e=Vx,U3e=Gx,V3e=Hx,G3e=Wx,q3e=Kx;rx.Konva=$O.Konva.Util._assign($O.Konva,{Arc:d3e.Arc,Arrow:f3e.Arrow,Circle:h3e.Circle,Ellipse:p3e.Ellipse,Image:g3e.Image,Label:DO.Label,Tag:DO.Tag,Line:m3e.Line,Path:y3e.Path,Rect:v3e.Rect,RegularPolygon:b3e.RegularPolygon,Ring:_3e.Ring,Sprite:S3e.Sprite,Star:x3e.Star,Text:w3e.Text,TextPath:C3e.TextPath,Transformer:E3e.Transformer,Wedge:T3e.Wedge,Filters:{Blur:k3e.Blur,Brighten:A3e.Brighten,Contrast:P3e.Contrast,Emboss:I3e.Emboss,Enhance:R3e.Enhance,Grayscale:O3e.Grayscale,HSL:M3e.HSL,HSV:N3e.HSV,Invert:$3e.Invert,Kaleidoscope:D3e.Kaleidoscope,Mask:L3e.Mask,Noise:F3e.Noise,Pixelate:B3e.Pixelate,Posterize:z3e.Posterize,RGB:j3e.RGB,RGBA:U3e.RGBA,Sepia:V3e.Sepia,Solarize:G3e.Solarize,Threshold:q3e.Threshold}});var H3e=_A.exports;Object.defineProperty(H3e,"__esModule",{value:!0});const W3e=rx;_A.exports=W3e.Konva;var K3e=_A.exports;const ig=mc(K3e),Q3e=async(e,t,n)=>{const{width:r,height:i}=t,o=document.createElement("div"),a=new ig.Stage({container:o,width:r,height:i}),s=new ig.Layer,l=new ig.Layer;return s.add(new ig.Rect({...t,fill:n?"black":"white"})),e.forEach(u=>l.add(new ig.Line({points:u.points,stroke:n?"white":"black",strokeWidth:u.strokeWidth*2,tension:0,lineCap:"round",lineJoin:"round",shadowForStrokeEnabled:!1,globalCompositeOperation:u.tool==="brush"?"source-over":"destination-out"}))),a.add(s),a.add(l),o.remove(),a},X3e=async(e,t,n)=>new Promise((r,i)=>{const o=document.createElement("canvas");o.width=t,o.height=n;const a=o.getContext("2d"),s=new Image;if(!a){o.remove(),i("Unable to get context");return}s.onload=function(){a.drawImage(s,0,0),o.remove(),r(a.getImageData(0,0,t,n))},s.src=e}),LO=async(e,t)=>{const n=e.toDataURL(t);return await X3e(n,t.width,t.height)},$A=async(e,t,n,r,i)=>{const o=_e("canvas"),a=tx(),s=Gxe();if(!a||!s){o.error("Unable to find canvas / stage");return}const l={...t,...n},u=a.clone();u.scale({x:1,y:1});const c=u.getAbsolutePosition(),d={x:l.x+c.x,y:l.y+c.y,width:l.width,height:l.height},f=await L_(u,d),h=await LO(u,d),p=await Q3e(r?e.objects.filter(TB):[],l,i),m=await L_(p,l),_=await LO(p,l);return{baseBlob:f,baseImageData:h,maskBlob:m,maskImageData:_}},Y3e=()=>{Fe({actionCreator:Lxe,effect:async(e,{dispatch:t,getState:n})=>{const r=_e("canvas"),i=n(),o=await $A(i.canvas.layerState,i.canvas.boundingBoxCoordinates,i.canvas.boundingBoxDimensions,i.canvas.isMaskEnabled,i.canvas.shouldPreserveMaskedArea);if(!o)return;const{maskBlob:a}=o;if(!a){r.error("Problem getting mask layer blob"),t(qt({title:Y("toast.problemSavingMask"),description:Y("toast.problemSavingMaskDesc"),status:"error"}));return}const{autoAddBoardId:s}=i.gallery;t(ve.endpoints.uploadImage.initiate({file:new 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0:s,crop_visible:!1,postUploadAction:{type:"TOAST",toastOptions:{title:Y("toast.maskSentControlnetAssets")}}})).unwrap(),{image_name:u}=l;t(Cc({controlNetId:e.payload.controlNet.controlNetId,controlImage:u}))}})},J3e=async()=>{const e=tx();if(!e)return;const t=e.clone();return t.scale({x:1,y:1}),L_(t,t.getClientRect())},eEe=()=>{Fe({actionCreator:zxe,effect:async(e,{dispatch:t})=>{const n=x2.get().child({namespace:"canvasCopiedToClipboardListener"}),r=await J3e();if(!r){n.error("Problem getting base layer blob"),t(qt({title:Y("toast.problemMergingCanvas"),description:Y("toast.problemMergingCanvasDesc"),status:"error"}));return}const i=tx();if(!i){n.error("Problem getting canvas base layer"),t(qt({title:Y("toast.problemMergingCanvas"),description:Y("toast.problemMergingCanvasDesc"),status:"error"}));return}const o=i.getClientRect({relativeTo:i.getParent()}),a=await t(ve.endpoints.uploadImage.initiate({file:new 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0:c.shouldAutoConfig)===!0)return!1;const i=t.controlNet.controlNets[e.payload.controlNetId];if(!i)return!1;const{controlImage:o,processorType:a,shouldAutoConfig:s}=i;return VR.match(e)&&!s?!1:a!=="none"&&!!o},rEe=()=>{Fe({predicate:nEe,effect:async(e,{dispatch:t,cancelActiveListeners:n,delay:r})=>{const i=_e("session"),{controlNetId:o}=e.payload;n(),i.trace("ControlNet auto-process triggered"),await 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E=h,A={id:Xx,nodes:{[O]:{type:"main_model_loader",id:O,is_intermediate:T,model:a},[Zt]:{type:"clip_skip",id:Zt,is_intermediate:T,skipped_layers:g},[Be]:{type:"compel",id:Be,is_intermediate:T,prompt:i},[We]:{type:"compel",id:We,is_intermediate:T,prompt:o},[Ui]:{type:"img_blur",id:Ui,is_intermediate:T,radius:p,blur_type:m},[Kn]:{type:"i2l",id:Kn,is_intermediate:T,fp32:P},[Le]:{type:"noise",id:Le,use_cpu:E,seed:d,is_intermediate:T},[Wn]:{type:"create_denoise_mask",id:Wn,is_intermediate:T,fp32:P},[Oe]:{type:"denoise_latents",id:Oe,is_intermediate:T,steps:u,cfg_scale:s,scheduler:l,denoising_start:1-c,denoising_end:1},[Vt]:{type:"noise",id:Vt,use_cpu:E,seed:d+1,is_intermediate:T},[dc]:{type:"add",id:dc,b:1,is_intermediate:T},[gt]:{type:"denoise_latents",id:gt,is_intermediate:T,steps:b,cfg_scale:s,scheduler:l,denoising_start:1-y,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:T,fp32:P},[me]:{type:"color_correct",id:me,is_intermediate:T,reference:t}},edges:[{source:{node_id:O,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:O,field:"clip"},destination:{node_id:Zt,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Le,field:"noise"},destination:{node_id:Oe,field:"noise"}},{source:{node_id:Kn,field:"latents"},destination:{node_id:Oe,field:"latents"}},{source:{node_id:Ui,field:"image"},destination:{node_id:Wn,field:"mask"}},{source:{node_id:Wn,field:"denoise_mask"},destination:{node_id:Oe,field:"denoise_mask"}},{source:{node_id:O,field:"unet"},destination:{node_id:gt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:gt,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:gt,field:"negative_conditioning"}},{source:{node_id:Vt,field:"noise"},destination:{node_id:gt,field:"noise"}},{source:{node_id:Oe,field:"latents"},destination:{node_id:gt,field:"latents"}},{source:{node_id:gt,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if($){const 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A.nodes[Le].width=w,A.nodes[Le].height=x,A.nodes[Vt].width=w,A.nodes[Vt].height=x,A.nodes[Kn]={...A.nodes[Kn],image:t},A.nodes[Ui]={...A.nodes[Ui],image:n},A.nodes[Wn]={...A.nodes[Wn],image:t},A.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ui,field:"image"},destination:{node_id:me,field:"mask"}});return 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r=_e("nodes"),{positivePrompt:i,negativePrompt:o,model:a,cfgScale:s,scheduler:l,steps:u,img2imgStrength:c,seed:d,vaePrecision:f,shouldUseCpuNoise:h,maskBlur:p,canvasCoherenceMode:m,canvasCoherenceSteps:_,canvasCoherenceStrength:b,infillTileSize:y,infillPatchmatchDownscaleSize:g,infillMethod:v,clipSkip:S,seamlessXAxis:w,seamlessYAxis:x}=e.generation;if(!a)throw r.error("No model found in state"),new Error("No model found in state");const{width:C,height:k}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:T,boundingBoxScaleMethod:P}=e.canvas,$=f==="fp32",O=!0,E=["auto","manual"].includes(P);let A=Ic;const D=h,L={id:Yx,nodes:{[A]:{type:"main_model_loader",id:A,is_intermediate:O,model:a},[Zt]:{type:"clip_skip",id:Zt,is_intermediate:O,skipped_layers:S},[Be]:{type:"compel",id:Be,is_intermediate:O,prompt:i},[We]:{type:"compel",id:We,is_intermediate:O,prompt:o},[_h]:{type:"tomask",id:_h,is_intermediate:O,image:t},[Ti]:{type:"mask_combine",id:Ti,is_intermediate:O,mask2:n},[Kn]:{type:"i2l",id:Kn,is_intermediate:O,fp32:$},[Le]:{type:"noise",id:Le,use_cpu:D,seed:d,is_intermediate:O},[Wn]:{type:"create_denoise_mask",id:Wn,is_intermediate:O,fp32:$},[Oe]:{type:"denoise_latents",id:Oe,is_intermediate:O,steps:u,cfg_scale:s,scheduler:l,denoising_start:1-c,denoising_end:1},[Vt]:{type:"noise",id:Vt,use_cpu:D,seed:d+1,is_intermediate:O},[dc]:{type:"add",id:dc,b:1,is_intermediate:O},[gt]:{type:"denoise_latents",id:gt,is_intermediate:O,steps:_,cfg_scale:s,scheduler:l,denoising_start:1-b,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:O,fp32:$},[me]:{type:"color_correct",id:me,is_intermediate:O}},edges:[{source:{node_id:A,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:A,field:"clip"},destination:{node_id:Zt,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:Kt,field:"image"},destination:{node_id:Kn,field:"image"}},{source:{node_id:_h,field:"image"},destination:{node_id:Ti,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Le,field:"noise"},destination:{node_id:Oe,field:"noise"}},{source:{node_id:Kn,field:"latents"},destination:{node_id:Oe,field:"latents"}},{source:{node_id:E?Nn:Ti,field:"image"},destination:{node_id:Wn,field:"mask"}},{source:{node_id:Wn,field:"denoise_mask"},destination:{node_id:Oe,field:"denoise_mask"}},{source:{node_id:A,field:"unet"},destination:{node_id:gt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:gt,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:gt,field:"negative_conditioning"}},{source:{node_id:Vt,field:"noise"},destination:{node_id:gt,field:"noise"}},{source:{node_id:Oe,field:"latents"},destination:{node_id:gt,field:"latents"}},{source:{node_id:Kt,field:"image"},destination:{node_id:Wn,field:"image"}},{source:{node_id:gt,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(v==="patchmatch"&&(L.nodes[Kt]={type:"infill_patchmatch",id:Kt,is_intermediate:O,downscale:g}),v==="lama"&&(L.nodes[Kt]={type:"infill_lama",id:Kt,is_intermediate:O}),v==="cv2"&&(L.nodes[Kt]={type:"infill_cv2",id:Kt,is_intermediate:O}),v==="tile"&&(L.nodes[Kt]={type:"infill_tile",id:Kt,is_intermediate:O,tile_size:y}),E){const M=T.width,R=T.height;L.nodes[Ai]={type:"img_resize",id:Ai,is_intermediate:O,width:M,height:R,image:t},L.nodes[Nn]={type:"img_resize",id:Nn,is_intermediate:O,width:M,height:R},L.nodes[qi]={type:"img_resize",id:qi,is_intermediate:O,width:C,height:k},L.nodes[Lu]={type:"img_resize",id:Lu,is_intermediate:O,width:C,height:k},L.nodes[Hi]={type:"img_resize",id:Hi,is_intermediate:O,width:C,height:k},L.nodes[Le].width=M,L.nodes[Le].height=R,L.nodes[Vt].width=M,L.nodes[Vt].height=R,L.edges.push({source:{node_id:Ai,field:"image"},destination:{node_id:Kt,field:"image"}},{source:{node_id:Ti,field:"image"},destination:{node_id:Nn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:qi,field:"image"}},{source:{node_id:Nn,field:"image"},destination:{node_id:Hi,field:"image"}},{source:{node_id:Kt,field:"image"},destination:{node_id:Lu,field:"image"}},{source:{node_id:Lu,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Hi,field:"image"},destination:{node_id:me,field:"mask"}})}else L.nodes[Kt]={...L.nodes[Kt],image:t},L.nodes[Le].width=C,L.nodes[Le].height=k,L.nodes[Vt].width=C,L.nodes[Vt].height=k,L.nodes[Kn]={...L.nodes[Kn],image:t},L.edges.push({source:{node_id:Kt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Ke,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ti,field:"image"},destination:{node_id:me,field:"mask"}});return m!=="unmasked"&&(L.nodes[jt]={type:"create_denoise_mask",id:jt,is_intermediate:O,fp32:$},L.edges.push({source:{node_id:Kt,field:"image"},destination:{node_id:jt,field:"image"}}),m==="mask"&&(E?L.edges.push({source:{node_id:Nn,field:"image"},destination:{node_id:jt,field:"mask"}}):L.edges.push({source:{node_id:Ti,field:"image"},destination:{node_id:jt,field:"mask"}})),m==="edge"&&(L.nodes[yr]={type:"mask_edge",id:yr,is_intermediate:O,edge_blur:p,edge_size:p*2,low_threshold:100,high_threshold:200},E?L.edges.push({source:{node_id:Nn,field:"image"},destination:{node_id:yr,field:"image"}}):L.edges.push({source:{node_id:Ti,field:"image"},destination:{node_id:yr,field:"image"}}),L.edges.push({source:{node_id:yr,field:"image"},destination:{node_id:jt,field:"mask"}})),L.edges.push({source:{node_id:jt,field:"denoise_mask"},destination:{node_id:gt,field:"denoise_mask"}})),(w||x)&&(Ma(e,L,A),A=Wr),Na(e,L,A),kp(e,L,Oe,A),Pa(e,L,Oe),Ia(e,L,Oe),e.system.shouldUseNSFWChecker&&Ra(e,L,me),e.system.shouldUseWatermarker&&$a(e,L,me),Oa(e,L),L},Ap=(e,t,n,r=Vi)=>{const{loras:i}=e.lora,o=QS(i),a=t.nodes[pt],s=r;let l=r;[Wr,da].includes(r)&&(l=Vi),o>0&&(t.edges=t.edges.filter(d=>!(d.source.node_id===s&&["unet"].includes(d.source.field))&&!(d.source.node_id===l&&["clip"].includes(d.source.field))&&!(d.source.node_id===l&&["clip2"].includes(d.source.field))));let u="",c=0;Ea(i,d=>{const{model_name:f,base_model:h,weight:p}=d,m=`${JG}_${f.replace(".","_")}`,_={type:"sdxl_lora_loader",id:m,is_intermediate:!0,lora:{model_name:f,base_model:h},weight:p};a&&(a.loras||(a.loras=[]),a.loras.push({lora:{model_name:f,base_model:h},weight:p})),t.nodes[m]=_,c===0?(t.edges.push({source:{node_id:s,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:l,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:l,field:"clip2"},destination:{node_id:m,field:"clip2"}})):(t.edges.push({source:{node_id:u,field:"unet"},destination:{node_id:m,field:"unet"}}),t.edges.push({source:{node_id:u,field:"clip"},destination:{node_id:m,field:"clip"}}),t.edges.push({source:{node_id:u,field:"clip2"},destination:{node_id:m,field:"clip2"}})),c===o-1&&(t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:n,field:"unet"}}),t.id&&[fc,hc].includes(t.id)&&t.edges.push({source:{node_id:m,field:"unet"},destination:{node_id:gt,field:"unet"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:Be,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip"},destination:{node_id:We,field:"clip"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:Be,field:"clip2"}}),t.edges.push({source:{node_id:m,field:"clip2"},destination:{node_id:We,field:"clip2"}})),u=m,c+=1})},Zd=(e,t)=>{const{positivePrompt:n,negativePrompt:r}=e.generation,{positiveStylePrompt:i,negativeStylePrompt:o,shouldConcatSDXLStylePrompt:a}=e.sdxl,s=a||t?[n,i].join(" "):i,l=a||t?[r,o].join(" "):o;return{joinedPositiveStylePrompt:s,joinedNegativeStylePrompt:l}},Pp=(e,t,n,r,i,o)=>{const{refinerModel:a,refinerPositiveAestheticScore:s,refinerNegativeAestheticScore:l,refinerSteps:u,refinerScheduler:c,refinerCFGScale:d,refinerStart:f}=e.sdxl,{seamlessXAxis:h,seamlessYAxis:p,vaePrecision:m}=e.generation,{boundingBoxScaleMethod:_}=e.canvas,b=m==="fp32",y=["auto","manual"].includes(_);if(!a)return;const g=t.nodes[pt];g&&(g.refiner_model=a,g.refiner_positive_aesthetic_score=s,g.refiner_negative_aesthetic_score=l,g.refiner_cfg_scale=d,g.refiner_scheduler=c,g.refiner_start=f,g.refiner_steps=u);const v=r||Vi,{joinedPositiveStylePrompt:S,joinedNegativeStylePrompt:w}=Zd(e,!0);t.edges=t.edges.filter(x=>!(x.source.node_id===n&&["latents"].includes(x.source.field))),t.edges=t.edges.filter(x=>!(x.source.node_id===v&&["vae"].includes(x.source.field))),t.nodes[Fc]={type:"sdxl_refiner_model_loader",id:Fc,model:a},t.nodes[Hv]={type:"sdxl_refiner_compel_prompt",id:Hv,style:S,aesthetic_score:s},t.nodes[Wv]={type:"sdxl_refiner_compel_prompt",id:Wv,style:w,aesthetic_score:l},t.nodes[_s]={type:"denoise_latents",id:_s,cfg_scale:d,steps:u,scheduler:c,denoising_start:f,denoising_end:1},h||p?(t.nodes[Xa]={id:Xa,type:"seamless",seamless_x:h,seamless_y:p},t.edges.push({source:{node_id:Fc,field:"unet"},destination:{node_id:Xa,field:"unet"}},{source:{node_id:Fc,field:"vae"},destination:{node_id:Xa,field:"vae"}},{source:{node_id:Xa,field:"unet"},destination:{node_id:_s,field:"unet"}})):t.edges.push({source:{node_id:Fc,field:"unet"},destination:{node_id:_s,field:"unet"}}),t.edges.push({source:{node_id:Fc,field:"clip2"},destination:{node_id:Hv,field:"clip2"}},{source:{node_id:Fc,field:"clip2"},destination:{node_id:Wv,field:"clip2"}},{source:{node_id:Hv,field:"conditioning"},destination:{node_id:_s,field:"positive_conditioning"}},{source:{node_id:Wv,field:"conditioning"},destination:{node_id:_s,field:"negative_conditioning"}},{source:{node_id:n,field:"latents"},destination:{node_id:_s,field:"latents"}}),(t.id===fc||t.id===hc)&&(t.nodes[da]={type:"create_denoise_mask",id:da,is_intermediate:!0,fp32:b},y?t.edges.push({source:{node_id:Ai,field:"image"},destination:{node_id:da,field:"image"}}):t.nodes[da]={...t.nodes[da],image:i},t.id===fc&&(y?t.edges.push({source:{node_id:Nn,field:"image"},destination:{node_id:da,field:"mask"}}):t.nodes[da]={...t.nodes[da],mask:o}),t.id===hc&&t.edges.push({source:{node_id:y?Nn:Ti,field:"image"},destination:{node_id:da,field:"mask"}}),t.edges.push({source:{node_id:da,field:"denoise_mask"},destination:{node_id:_s,field:"denoise_mask"}})),t.id===Zx||t.id===S0?t.edges.push({source:{node_id:_s,field:"latents"},destination:{node_id:y?Ke:me,field:"latents"}}):t.edges.push({source:{node_id:_s,field:"latents"},destination:{node_id:Ke,field:"latents"}})},gEe=(e,t)=>{const n=_e("nodes"),{positivePrompt:r,negativePrompt:i,model:o,cfgScale:a,scheduler:s,seed:l,steps:u,vaePrecision:c,shouldUseCpuNoise:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{shouldUseSDXLRefiner:p,refinerStart:m,sdxlImg2ImgDenoisingStrength:_}=e.sdxl,{width:b,height:y}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:g,boundingBoxScaleMethod:v}=e.canvas,S=c==="fp32",w=!0,x=["auto","manual"].includes(v);if(!o)throw n.error("No model found in state"),new Error("No model found in state");let C=Vi;const k=d,{joinedPositiveStylePrompt:T,joinedNegativeStylePrompt:P}=Zd(e),$={id:S0,nodes:{[C]:{type:"sdxl_model_loader",id:C,model:o},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:r,style:T},[We]:{type:"sdxl_compel_prompt",id:We,prompt:i,style:P},[Le]:{type:"noise",id:Le,is_intermediate:w,use_cpu:k,seed:l,width:x?g.width:b,height:x?g.height:y},[Hn]:{type:"i2l",id:Hn,is_intermediate:w,fp32:S},[Te]:{type:"denoise_latents",id:Te,is_intermediate:w,cfg_scale:a,scheduler:s,steps:u,denoising_start:p?Math.min(m,1-_):1-_,denoising_end:p?m:1}},edges:[{source:{node_id:C,field:"unet"},destination:{node_id:Te,field:"unet"}},{source:{node_id:C,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:C,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:We,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Te,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Te,field:"negative_conditioning"}},{source:{node_id:Le,field:"noise"},destination:{node_id:Te,field:"noise"}},{source:{node_id:Hn,field:"latents"},destination:{node_id:Te,field:"latents"}}]};return x?($.nodes[bh]={id:bh,type:"img_resize",is_intermediate:w,image:t,width:g.width,height:g.height},$.nodes[Ke]={id:Ke,type:"l2i",is_intermediate:w,fp32:S},$.nodes[me]={id:me,type:"img_resize",is_intermediate:w,width:b,height:y},$.edges.push({source:{node_id:bh,field:"image"},destination:{node_id:Hn,field:"image"}},{source:{node_id:Te,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:me,field:"image"}})):($.nodes[me]={type:"l2i",id:me,is_intermediate:w,fp32:S},$.nodes[Hn].image=t,$.edges.push({source:{node_id:Te,field:"latents"},destination:{node_id:me,field:"latents"}})),$.nodes[pt]={id:pt,type:"metadata_accumulator",generation_mode:"img2img",cfg_scale:a,width:x?g.width:b,height:x?g.height:y,positive_prompt:r,negative_prompt:i,model:o,seed:l,steps:u,rand_device:k?"cpu":"cuda",scheduler:s,vae:void 0,controlnets:[],loras:[],ipAdapters:[],strength:_,init_image:t.image_name},$.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(f||h)&&(Ma(e,$,C),C=Wr),p&&(Pp(e,$,Te,C),(f||h)&&(C=Xa)),Na(e,$,C),Ap(e,$,Te,C),Pa(e,$,Te),Ia(e,$,Te),e.system.shouldUseNSFWChecker&&Ra(e,$,me),e.system.shouldUseWatermarker&&$a(e,$,me),Oa(e,$),$},mEe=(e,t,n)=>{const r=_e("nodes"),{positivePrompt:i,negativePrompt:o,model:a,cfgScale:s,scheduler:l,steps:u,seed:c,vaePrecision:d,shouldUseCpuNoise:f,maskBlur:h,maskBlurMethod:p,canvasCoherenceMode:m,canvasCoherenceSteps:_,canvasCoherenceStrength:b,seamlessXAxis:y,seamlessYAxis:g}=e.generation,{sdxlImg2ImgDenoisingStrength:v,shouldUseSDXLRefiner:S,refinerStart:w}=e.sdxl;if(!a)throw r.error("No model found in state"),new Error("No model found in state");const{width:x,height:C}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:k,boundingBoxScaleMethod:T}=e.canvas,P=d==="fp32",$=!0,O=["auto","manual"].includes(T);let E=Vi;const A=f,{joinedPositiveStylePrompt:D,joinedNegativeStylePrompt:L}=Zd(e),M={id:fc,nodes:{[E]:{type:"sdxl_model_loader",id:E,model:a},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:D},[We]:{type:"sdxl_compel_prompt",id:We,prompt:o,style:L},[Ui]:{type:"img_blur",id:Ui,is_intermediate:$,radius:h,blur_type:p},[Kn]:{type:"i2l",id:Kn,is_intermediate:$,fp32:P},[Le]:{type:"noise",id:Le,use_cpu:A,seed:c,is_intermediate:$},[Wn]:{type:"create_denoise_mask",id:Wn,is_intermediate:$,fp32:P},[Te]:{type:"denoise_latents",id:Te,is_intermediate:$,steps:u,cfg_scale:s,scheduler:l,denoising_start:S?Math.min(w,1-v):1-v,denoising_end:S?w:1},[Vt]:{type:"noise",id:Vt,use_cpu:A,seed:c+1,is_intermediate:$},[dc]:{type:"add",id:dc,b:1,is_intermediate:$},[gt]:{type:"denoise_latents",id:gt,is_intermediate:$,steps:_,cfg_scale:s,scheduler:l,denoising_start:1-b,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:$,fp32:P},[me]:{type:"color_correct",id:me,is_intermediate:$,reference:t}},edges:[{source:{node_id:E,field:"unet"},destination:{node_id:Te,field:"unet"}},{source:{node_id:E,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:E,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:E,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:E,field:"clip2"},destination:{node_id:We,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Te,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Te,field:"negative_conditioning"}},{source:{node_id:Le,field:"noise"},destination:{node_id:Te,field:"noise"}},{source:{node_id:Kn,field:"latents"},destination:{node_id:Te,field:"latents"}},{source:{node_id:Ui,field:"image"},destination:{node_id:Wn,field:"mask"}},{source:{node_id:Wn,field:"denoise_mask"},destination:{node_id:Te,field:"denoise_mask"}},{source:{node_id:E,field:"unet"},destination:{node_id:gt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:gt,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:gt,field:"negative_conditioning"}},{source:{node_id:Vt,field:"noise"},destination:{node_id:gt,field:"noise"}},{source:{node_id:Te,field:"latents"},destination:{node_id:gt,field:"latents"}},{source:{node_id:gt,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(O){const R=k.width,N=k.height;M.nodes[Ai]={type:"img_resize",id:Ai,is_intermediate:$,width:R,height:N,image:t},M.nodes[Nn]={type:"img_resize",id:Nn,is_intermediate:$,width:R,height:N,image:n},M.nodes[qi]={type:"img_resize",id:qi,is_intermediate:$,width:x,height:C},M.nodes[Hi]={type:"img_resize",id:Hi,is_intermediate:$,width:x,height:C},M.nodes[Le].width=R,M.nodes[Le].height=N,M.nodes[Vt].width=R,M.nodes[Vt].height=N,M.edges.push({source:{node_id:Ai,field:"image"},destination:{node_id:Kn,field:"image"}},{source:{node_id:Nn,field:"image"},destination:{node_id:Ui,field:"image"}},{source:{node_id:Ai,field:"image"},destination:{node_id:Wn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:qi,field:"image"}},{source:{node_id:qi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ui,field:"image"},destination:{node_id:Hi,field:"image"}},{source:{node_id:Hi,field:"image"},destination:{node_id:me,field:"mask"}})}else M.nodes[Le].width=x,M.nodes[Le].height=C,M.nodes[Vt].width=x,M.nodes[Vt].height=C,M.nodes[Kn]={...M.nodes[Kn],image:t},M.nodes[Ui]={...M.nodes[Ui],image:n},M.nodes[Wn]={...M.nodes[Wn],image:t},M.edges.push({source:{node_id:Ke,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ui,field:"image"},destination:{node_id:me,field:"mask"}});return m!=="unmasked"&&(M.nodes[jt]={type:"create_denoise_mask",id:jt,is_intermediate:$,fp32:P},O?M.edges.push({source:{node_id:Ai,field:"image"},destination:{node_id:jt,field:"image"}}):M.nodes[jt]={...M.nodes[jt],image:t},m==="mask"&&(O?M.edges.push({source:{node_id:Nn,field:"image"},destination:{node_id:jt,field:"mask"}}):M.nodes[jt]={...M.nodes[jt],mask:n}),m==="edge"&&(M.nodes[yr]={type:"mask_edge",id:yr,is_intermediate:$,edge_blur:h,edge_size:h*2,low_threshold:100,high_threshold:200},O?M.edges.push({source:{node_id:Nn,field:"image"},destination:{node_id:yr,field:"image"}}):M.nodes[yr]={...M.nodes[yr],image:n},M.edges.push({source:{node_id:yr,field:"image"},destination:{node_id:jt,field:"mask"}})),M.edges.push({source:{node_id:jt,field:"denoise_mask"},destination:{node_id:gt,field:"denoise_mask"}})),(y||g)&&(Ma(e,M,E),E=Wr),S&&(Pp(e,M,gt,E,t,n),(y||g)&&(E=Xa)),Na(e,M,E),Ap(e,M,Te,E),Pa(e,M,Te),Ia(e,M,Te),e.system.shouldUseNSFWChecker&&Ra(e,M,me),e.system.shouldUseWatermarker&&$a(e,M,me),Oa(e,M),M},yEe=(e,t,n)=>{const r=_e("nodes"),{positivePrompt:i,negativePrompt:o,model:a,cfgScale:s,scheduler:l,steps:u,seed:c,vaePrecision:d,shouldUseCpuNoise:f,maskBlur:h,canvasCoherenceMode:p,canvasCoherenceSteps:m,canvasCoherenceStrength:_,infillTileSize:b,infillPatchmatchDownscaleSize:y,infillMethod:g,seamlessXAxis:v,seamlessYAxis:S}=e.generation,{sdxlImg2ImgDenoisingStrength:w,shouldUseSDXLRefiner:x,refinerStart:C}=e.sdxl;if(!a)throw r.error("No model found in state"),new Error("No model found in state");const{width:k,height:T}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:P,boundingBoxScaleMethod:$}=e.canvas,O=d==="fp32",E=!0,A=["auto","manual"].includes($);let D=Vi;const L=f,{joinedPositiveStylePrompt:M,joinedNegativeStylePrompt:R}=Zd(e),N={id:hc,nodes:{[Vi]:{type:"sdxl_model_loader",id:Vi,model:a},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:i,style:M},[We]:{type:"sdxl_compel_prompt",id:We,prompt:o,style:R},[_h]:{type:"tomask",id:_h,is_intermediate:E,image:t},[Ti]:{type:"mask_combine",id:Ti,is_intermediate:E,mask2:n},[Kn]:{type:"i2l",id:Kn,is_intermediate:E,fp32:O},[Le]:{type:"noise",id:Le,use_cpu:L,seed:c,is_intermediate:E},[Wn]:{type:"create_denoise_mask",id:Wn,is_intermediate:E,fp32:O},[Te]:{type:"denoise_latents",id:Te,is_intermediate:E,steps:u,cfg_scale:s,scheduler:l,denoising_start:x?Math.min(C,1-w):1-w,denoising_end:x?C:1},[Vt]:{type:"noise",id:Vt,use_cpu:L,seed:c+1,is_intermediate:E},[dc]:{type:"add",id:dc,b:1,is_intermediate:E},[gt]:{type:"denoise_latents",id:gt,is_intermediate:E,steps:m,cfg_scale:s,scheduler:l,denoising_start:1-_,denoising_end:1},[Ke]:{type:"l2i",id:Ke,is_intermediate:E,fp32:O},[me]:{type:"color_correct",id:me,is_intermediate:E}},edges:[{source:{node_id:Vi,field:"unet"},destination:{node_id:Te,field:"unet"}},{source:{node_id:Vi,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Vi,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:Vi,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:Vi,field:"clip2"},destination:{node_id:We,field:"clip2"}},{source:{node_id:Kt,field:"image"},destination:{node_id:Kn,field:"image"}},{source:{node_id:_h,field:"image"},destination:{node_id:Ti,field:"mask1"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Te,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Te,field:"negative_conditioning"}},{source:{node_id:Le,field:"noise"},destination:{node_id:Te,field:"noise"}},{source:{node_id:Kn,field:"latents"},destination:{node_id:Te,field:"latents"}},{source:{node_id:A?Nn:Ti,field:"image"},destination:{node_id:Wn,field:"mask"}},{source:{node_id:Wn,field:"denoise_mask"},destination:{node_id:Te,field:"denoise_mask"}},{source:{node_id:D,field:"unet"},destination:{node_id:gt,field:"unet"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:gt,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:gt,field:"negative_conditioning"}},{source:{node_id:Vt,field:"noise"},destination:{node_id:gt,field:"noise"}},{source:{node_id:Te,field:"latents"},destination:{node_id:gt,field:"latents"}},{source:{node_id:Kt,field:"image"},destination:{node_id:Wn,field:"image"}},{source:{node_id:gt,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};if(g==="patchmatch"&&(N.nodes[Kt]={type:"infill_patchmatch",id:Kt,is_intermediate:E,downscale:y}),g==="lama"&&(N.nodes[Kt]={type:"infill_lama",id:Kt,is_intermediate:E}),g==="cv2"&&(N.nodes[Kt]={type:"infill_cv2",id:Kt,is_intermediate:E}),g==="tile"&&(N.nodes[Kt]={type:"infill_tile",id:Kt,is_intermediate:E,tile_size:b}),A){const B=P.width,U=P.height;N.nodes[Ai]={type:"img_resize",id:Ai,is_intermediate:E,width:B,height:U,image:t},N.nodes[Nn]={type:"img_resize",id:Nn,is_intermediate:E,width:B,height:U},N.nodes[qi]={type:"img_resize",id:qi,is_intermediate:E,width:k,height:T},N.nodes[Lu]={type:"img_resize",id:Lu,is_intermediate:E,width:k,height:T},N.nodes[Hi]={type:"img_resize",id:Hi,is_intermediate:E,width:k,height:T},N.nodes[Le].width=B,N.nodes[Le].height=U,N.nodes[Vt].width=B,N.nodes[Vt].height=U,N.edges.push({source:{node_id:Ai,field:"image"},destination:{node_id:Kt,field:"image"}},{source:{node_id:Ti,field:"image"},destination:{node_id:Nn,field:"image"}},{source:{node_id:Ke,field:"image"},destination:{node_id:qi,field:"image"}},{source:{node_id:Nn,field:"image"},destination:{node_id:Hi,field:"image"}},{source:{node_id:Kt,field:"image"},destination:{node_id:Lu,field:"image"}},{source:{node_id:Lu,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:qi,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Hi,field:"image"},destination:{node_id:me,field:"mask"}})}else N.nodes[Kt]={...N.nodes[Kt],image:t},N.nodes[Le].width=k,N.nodes[Le].height=T,N.nodes[Vt].width=k,N.nodes[Vt].height=T,N.nodes[Kn]={...N.nodes[Kn],image:t},N.edges.push({source:{node_id:Kt,field:"image"},destination:{node_id:me,field:"reference"}},{source:{node_id:Ke,field:"image"},destination:{node_id:me,field:"image"}},{source:{node_id:Ti,field:"image"},destination:{node_id:me,field:"mask"}});return p!=="unmasked"&&(N.nodes[jt]={type:"create_denoise_mask",id:jt,is_intermediate:E,fp32:O},N.edges.push({source:{node_id:Kt,field:"image"},destination:{node_id:jt,field:"image"}}),p==="mask"&&(A?N.edges.push({source:{node_id:Nn,field:"image"},destination:{node_id:jt,field:"mask"}}):N.edges.push({source:{node_id:Ti,field:"image"},destination:{node_id:jt,field:"mask"}})),p==="edge"&&(N.nodes[yr]={type:"mask_edge",id:yr,is_intermediate:E,edge_blur:h,edge_size:h*2,low_threshold:100,high_threshold:200},A?N.edges.push({source:{node_id:Nn,field:"image"},destination:{node_id:yr,field:"image"}}):N.edges.push({source:{node_id:Ti,field:"image"},destination:{node_id:yr,field:"image"}}),N.edges.push({source:{node_id:yr,field:"image"},destination:{node_id:jt,field:"mask"}})),N.edges.push({source:{node_id:jt,field:"denoise_mask"},destination:{node_id:gt,field:"denoise_mask"}})),(v||S)&&(Ma(e,N,D),D=Wr),x&&(Pp(e,N,gt,D,t),(v||S)&&(D=Xa)),Na(e,N,D),Ap(e,N,Te,D),Pa(e,N,Te),Ia(e,N,Te),e.system.shouldUseNSFWChecker&&Ra(e,N,me),e.system.shouldUseWatermarker&&$a(e,N,me),Oa(e,N),N},vEe=e=>{const t=_e("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:a,seed:s,steps:l,vaePrecision:u,shouldUseCpuNoise:c,seamlessXAxis:d,seamlessYAxis:f}=e.generation,{width:h,height:p}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:m,boundingBoxScaleMethod:_}=e.canvas,b=u==="fp32",y=!0,g=["auto","manual"].includes(_),{shouldUseSDXLRefiner:v,refinerStart:S}=e.sdxl;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const w=c,x=i.model_type==="onnx";let C=x?Qx:Vi;const k=x?"onnx_model_loader":"sdxl_model_loader",T=x?{type:"t2l_onnx",id:Te,is_intermediate:y,cfg_scale:o,scheduler:a,steps:l}:{type:"denoise_latents",id:Te,is_intermediate:y,cfg_scale:o,scheduler:a,steps:l,denoising_start:0,denoising_end:v?S:1},{joinedPositiveStylePrompt:P,joinedNegativeStylePrompt:$}=Zd(e),O={id:Zx,nodes:{[C]:{type:k,id:C,is_intermediate:y,model:i},[Be]:{type:x?"prompt_onnx":"sdxl_compel_prompt",id:Be,is_intermediate:y,prompt:n,style:P},[We]:{type:x?"prompt_onnx":"sdxl_compel_prompt",id:We,is_intermediate:y,prompt:r,style:$},[Le]:{type:"noise",id:Le,is_intermediate:y,seed:s,width:g?m.width:h,height:g?m.height:p,use_cpu:w},[T.id]:T},edges:[{source:{node_id:C,field:"unet"},destination:{node_id:Te,field:"unet"}},{source:{node_id:C,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:C,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:We,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Te,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Te,field:"negative_conditioning"}},{source:{node_id:Le,field:"noise"},destination:{node_id:Te,field:"noise"}}]};return g?(O.nodes[Ke]={id:Ke,type:x?"l2i_onnx":"l2i",is_intermediate:y,fp32:b},O.nodes[me]={id:me,type:"img_resize",is_intermediate:y,width:h,height:p},O.edges.push({source:{node_id:Te,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:me,field:"image"}})):(O.nodes[me]={type:x?"l2i_onnx":"l2i",id:me,is_intermediate:y,fp32:b},O.edges.push({source:{node_id:Te,field:"latents"},destination:{node_id:me,field:"latents"}})),O.nodes[pt]={id:pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:g?m.width:h,height:g?m.height:p,positive_prompt:n,negative_prompt:r,model:i,seed:s,steps:l,rand_device:w?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],ipAdapters:[]},O.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(d||f)&&(Ma(e,O,C),C=Wr),v&&(Pp(e,O,Te,C),(d||f)&&(C=Xa)),Ap(e,O,Te,C),Na(e,O,C),Pa(e,O,Te),Ia(e,O,Te),e.system.shouldUseNSFWChecker&&Ra(e,O,me),e.system.shouldUseWatermarker&&$a(e,O,me),Oa(e,O),O},bEe=e=>{const t=_e("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:a,seed:s,steps:l,vaePrecision:u,clipSkip:c,shouldUseCpuNoise:d,seamlessXAxis:f,seamlessYAxis:h}=e.generation,{width:p,height:m}=e.canvas.boundingBoxDimensions,{scaledBoundingBoxDimensions:_,boundingBoxScaleMethod:b}=e.canvas,y=u==="fp32",g=!0,v=["auto","manual"].includes(b);if(!i)throw t.error("No model found in state"),new Error("No model found in state");const S=d,w=i.model_type==="onnx";let x=w?Qx:Ic;const C=w?"onnx_model_loader":"main_model_loader",k=w?{type:"t2l_onnx",id:Oe,is_intermediate:g,cfg_scale:o,scheduler:a,steps:l}:{type:"denoise_latents",id:Oe,is_intermediate:g,cfg_scale:o,scheduler:a,steps:l,denoising_start:0,denoising_end:1},T={id:tq,nodes:{[x]:{type:C,id:x,is_intermediate:g,model:i},[Zt]:{type:"clip_skip",id:Zt,is_intermediate:g,skipped_layers:c},[Be]:{type:w?"prompt_onnx":"compel",id:Be,is_intermediate:g,prompt:n},[We]:{type:w?"prompt_onnx":"compel",id:We,is_intermediate:g,prompt:r},[Le]:{type:"noise",id:Le,is_intermediate:g,seed:s,width:v?_.width:p,height:v?_.height:m,use_cpu:S},[k.id]:k},edges:[{source:{node_id:x,field:"unet"},destination:{node_id:Oe,field:"unet"}},{source:{node_id:x,field:"clip"},destination:{node_id:Zt,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:Zt,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Oe,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Oe,field:"negative_conditioning"}},{source:{node_id:Le,field:"noise"},destination:{node_id:Oe,field:"noise"}}]};return v?(T.nodes[Ke]={id:Ke,type:w?"l2i_onnx":"l2i",is_intermediate:g,fp32:y},T.nodes[me]={id:me,type:"img_resize",is_intermediate:g,width:p,height:m},T.edges.push({source:{node_id:Oe,field:"latents"},destination:{node_id:Ke,field:"latents"}},{source:{node_id:Ke,field:"image"},destination:{node_id:me,field:"image"}})):(T.nodes[me]={type:w?"l2i_onnx":"l2i",id:me,is_intermediate:g,fp32:y},T.edges.push({source:{node_id:Oe,field:"latents"},destination:{node_id:me,field:"latents"}})),T.nodes[pt]={id:pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,width:v?_.width:p,height:v?_.height:m,positive_prompt:n,negative_prompt:r,model:i,seed:s,steps:l,rand_device:S?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],ipAdapters:[],clip_skip:c},T.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:me,field:"metadata"}}),(f||h)&&(Ma(e,T,x),x=Wr),Na(e,T,x),kp(e,T,Oe,x),Pa(e,T,Oe),Ia(e,T,Oe),e.system.shouldUseNSFWChecker&&Ra(e,T,me),e.system.shouldUseWatermarker&&$a(e,T,me),Oa(e,T),T},_Ee=(e,t,n,r)=>{let i;if(t==="txt2img")e.generation.model&&e.generation.model.base_model==="sdxl"?i=vEe(e):i=bEe(e);else if(t==="img2img"){if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=gEe(e,n):i=fEe(e,n)}else if(t==="inpaint"){if(!n||!r)throw new Error("Missing canvas init and mask images");e.generation.model&&e.generation.model.base_model==="sdxl"?i=mEe(e,n,r):i=hEe(e,n,r)}else{if(!n)throw new Error("Missing canvas init image");e.generation.model&&e.generation.model.base_model==="sdxl"?i=yEe(e,n,r):i=pEe(e,n,r)}return i},o5=({count:e,start:t,min:n=Lae,max:r=qg})=>{const i=t??hae(n,r),o=[];for(let a=i;a<i+e;a++)o.push(a%r);return o},rq=(e,t,n)=>{const{iterations:r,model:i,shouldRandomizeSeed:o,seed:a}=e.generation,{shouldConcatSDXLStylePrompt:s,positiveStylePrompt:l}=e.sdxl,{prompts:u,seedBehaviour:c}=e.dynamicPrompts,d=[];if(u.length===1){Z8(t.nodes[pt],"seed");const h=o5({count:r,start:o?void 0:a}),p=[];t.nodes[Le]&&p.push({node_path:Le,field_name:"seed",items:h}),t.nodes[pt]&&p.push({node_path:pt,field_name:"seed",items:h}),t.nodes[Vt]&&p.push({node_path:Vt,field_name:"seed",items:h.map(m=>(m+1)%qg)}),d.push(p)}else{const h=[],p=[];if(c==="PER_PROMPT"){const _=o5({count:u.length*r,start:o?void 0:a});t.nodes[Le]&&h.push({node_path:Le,field_name:"seed",items:_}),t.nodes[pt]&&h.push({node_path:pt,field_name:"seed",items:_}),t.nodes[Vt]&&h.push({node_path:Vt,field_name:"seed",items:_.map(b=>(b+1)%qg)})}else{const _=o5({count:r,start:o?void 0:a});t.nodes[Le]&&p.push({node_path:Le,field_name:"seed",items:_}),t.nodes[pt]&&p.push({node_path:pt,field_name:"seed",items:_}),t.nodes[Vt]&&p.push({node_path:Vt,field_name:"seed",items:_.map(b=>(b+1)%qg)}),d.push(p)}const m=c==="PER_PROMPT"?bae(r).flatMap(()=>u):u;if(t.nodes[Be]&&h.push({node_path:Be,field_name:"prompt",items:m}),t.nodes[pt]&&h.push({node_path:pt,field_name:"positive_prompt",items:m}),s&&(i==null?void 0:i.base_model)==="sdxl"){Z8(t.nodes[pt],"positive_style_prompt");const _=m.map(b=>[b,l].join(" "));t.nodes[Be]&&h.push({node_path:Be,field_name:"style",items:_}),t.nodes[pt]&&h.push({node_path:pt,field_name:"positive_style_prompt",items:_})}d.push(h)}return{prepend:n,batch:{graph:t,runs:1,data:d}}},SEe=()=>{Fe({predicate:e=>LA.match(e)&&e.payload.tabName==="unifiedCanvas",effect:async(e,{getState:t,dispatch:n})=>{const r=_e("queue"),{prepend:i}=e.payload,o=t(),{layerState:a,boundingBoxCoordinates:s,boundingBoxDimensions:l,isMaskEnabled:u,shouldPreserveMaskedArea:c}=o.canvas,d=await $A(a,s,l,u,c);if(!d){r.error("Unable to create canvas data");return}const{baseBlob:f,baseImageData:h,maskBlob:p,maskImageData:m}=d,_=uEe(h,m);if(o.system.enableImageDebugging){const S=await FO(f),w=await FO(p);aEe([{base64:w,caption:"mask b64"},{base64:S,caption:"image b64"}])}r.debug(`Generation mode: ${_}`);let b,y;["img2img","inpaint","outpaint"].includes(_)&&(b=await n(ve.endpoints.uploadImage.initiate({file:new File([f],"canvasInitImage.png",{type:"image/png"}),image_category:"general",is_intermediate:!0})).unwrap()),["inpaint","outpaint"].includes(_)&&(y=await n(ve.endpoints.uploadImage.initiate({file:new File([p],"canvasMaskImage.png",{type:"image/png"}),image_category:"mask",is_intermediate:!0})).unwrap());const g=_Ee(o,_,b,y);r.debug({graph:Xt(g)},"Canvas graph built"),n(fG(g));const v=rq(o,g,i);try{const S=n(Xr.endpoints.enqueueBatch.initiate(v,{fixedCacheKey:"enqueueBatch"})),w=await S.unwrap();S.reset();const x=w.batch.batch_id;o.canvas.layerState.stagingArea.boundingBox||n(fle({boundingBox:{...o.canvas.boundingBoxCoordinates,...o.canvas.boundingBoxDimensions}})),n(hle(x))}catch{}}})},xEe=e=>{const t=_e("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:a,seed:s,steps:l,initialImage:u,img2imgStrength:c,shouldFitToWidthHeight:d,width:f,height:h,clipSkip:p,shouldUseCpuNoise:m,vaePrecision:_,seamlessXAxis:b,seamlessYAxis:y}=e.generation;if(!u)throw t.error("No initial image found in state"),new Error("No initial image found in state");if(!i)throw t.error("No model found in state"),new Error("No model found in state");const g=_==="fp32",v=!0;let S=Ic;const 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0,controlnets:[],loras:[],ipAdapters:[],strength:S,init_image:u.imageName,positive_style_prompt:b,negative_style_prompt:y},$.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:Ke,field:"metadata"}}),(m||_)&&(Ma(e,$,C),C=Wr),g&&(Pp(e,$,Te),(m||_)&&(C=Xa)),Na(e,$,C),Ap(e,$,Te,C),Pa(e,$,Te),Ia(e,$,Te),e.system.shouldUseNSFWChecker&&Ra(e,$),e.system.shouldUseWatermarker&&$a(e,$),Oa(e,$),$},CEe=e=>{const t=_e("nodes"),{positivePrompt:n,negativePrompt:r,model:i,cfgScale:o,scheduler:a,seed:s,steps:l,width:u,height:c,shouldUseCpuNoise:d,vaePrecision:f,seamlessXAxis:h,seamlessYAxis:p}=e.generation,{positiveStylePrompt:m,negativeStylePrompt:_,shouldUseSDXLRefiner:b,refinerStart:y}=e.sdxl,g=d;if(!i)throw t.error("No model found in state"),new Error("No model found in state");const v=f==="fp32",S=!0,{joinedPositiveStylePrompt:w,joinedNegativeStylePrompt:x}=Zd(e);let C=Vi;const k={id:DA,nodes:{[C]:{type:"sdxl_model_loader",id:C,model:i,is_intermediate:S},[Be]:{type:"sdxl_compel_prompt",id:Be,prompt:n,style:w,is_intermediate:S},[We]:{type:"sdxl_compel_prompt",id:We,prompt:r,style:x,is_intermediate:S},[Le]:{type:"noise",id:Le,seed:s,width:u,height:c,use_cpu:g,is_intermediate:S},[Te]:{type:"denoise_latents",id:Te,cfg_scale:o,scheduler:a,steps:l,denoising_start:0,denoising_end:b?y:1,is_intermediate:S},[Ke]:{type:"l2i",id:Ke,fp32:v,is_intermediate:S}},edges:[{source:{node_id:C,field:"unet"},destination:{node_id:Te,field:"unet"}},{source:{node_id:C,field:"clip"},destination:{node_id:Be,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:Be,field:"clip2"}},{source:{node_id:C,field:"clip"},destination:{node_id:We,field:"clip"}},{source:{node_id:C,field:"clip2"},destination:{node_id:We,field:"clip2"}},{source:{node_id:Be,field:"conditioning"},destination:{node_id:Te,field:"positive_conditioning"}},{source:{node_id:We,field:"conditioning"},destination:{node_id:Te,field:"negative_conditioning"}},{source:{node_id:Le,field:"noise"},destination:{node_id:Te,field:"noise"}},{source:{node_id:Te,field:"latents"},destination:{node_id:Ke,field:"latents"}}]};return 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x.nodes[pt]={id:pt,type:"metadata_accumulator",generation_mode:"txt2img",cfg_scale:o,height:u,width:l,positive_prompt:n,negative_prompt:r,model:i,seed:m,steps:s,rand_device:_?"cpu":"cuda",scheduler:a,vae:void 0,controlnets:[],loras:[],ipAdapters:[],clip_skip:c},x.edges.push({source:{node_id:pt,field:"metadata"},destination:{node_id:Ke,field:"metadata"}}),(h||p)&&(Ma(e,x,v),v=Wr),Na(e,x,v),kp(e,x,Oe,v),Pa(e,x,Oe),Ia(e,x,Oe),e.system.shouldUseNSFWChecker&&Ra(e,x),e.system.shouldUseWatermarker&&$a(e,x),Oa(e,x),x},TEe=()=>{Fe({predicate:e=>LA.match(e)&&(e.payload.tabName==="txt2img"||e.payload.tabName==="img2img"),effect:async(e,{getState:t,dispatch:n})=>{const r=t(),i=r.generation.model,{prepend:o}=e.payload;let a;i&&i.base_model==="sdxl"?e.payload.tabName==="txt2img"?a=CEe(r):a=wEe(r):e.payload.tabName==="txt2img"?a=EEe(r):a=xEe(r);const s=rq(r,a,o);n(Xr.endpoints.enqueueBatch.initiate(s,{fixedCacheKey:"enqueueBatch"})).reset()}})},kEe=/[$_\p{ID_Start}][$\u200c\u200d\p{ID_Continue}]*/u;function AEe(e){return e.length===1?e[0].toString():e.reduce((t,n)=>{if(typeof n=="number")return t+"["+n.toString()+"]";if(n.includes('"'))return t+'["'+PEe(n)+'"]';if(!kEe.test(n))return t+'["'+n+'"]';const r=t.length===0?"":".";return t+r+n},"")}function PEe(e){return e.replace(/"/g,'\\"')}function IEe(e){return e.length!==0}const REe=99,iq="; ",oq=", or ",BA="Validation error",aq=": ";class sq extends Error{constructor(n,r=[]){super(n);xw(this,"details");xw(this,"name");this.details=r,this.name="ZodValidationError"}toString(){return this.message}}function zA(e,t,n){if(e.code==="invalid_union")return e.unionErrors.reduce((r,i)=>{const o=i.issues.map(a=>zA(a,t,n)).join(t);return r.includes(o)||r.push(o),r},[]).join(n);if(IEe(e.path)){if(e.path.length===1){const r=e.path[0];if(typeof r=="number")return`${e.message} at index 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c=o[u.destination.node_id],d=u.destination.field;o[u.destination.node_id]=KS(c,d)}),{id:LV(),nodes:o,edges:s}},$Ee=()=>{Fe({predicate:e=>LA.match(e)&&e.payload.tabName==="nodes",effect:async(e,{getState:t,dispatch:n})=>{const r=t(),o={batch:{graph:NEe(r.nodes),runs:r.generation.iterations},prepend:e.payload.prepend};n(Xr.endpoints.enqueueBatch.initiate(o,{fixedCacheKey:"enqueueBatch"})).reset()}})},DEe=()=>{Fe({matcher:ve.endpoints.addImageToBoard.matchFulfilled,effect:e=>{const t=_e("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Image added to board")}})},LEe=()=>{Fe({matcher:ve.endpoints.addImageToBoard.matchRejected,effect:e=>{const t=_e("images"),{board_id:n,imageDTO:r}=e.meta.arg.originalArgs;t.debug({board_id:n,imageDTO:r},"Problem adding image to board")}})},jA=Ne("deleteImageModal/imageDeletionConfirmed"),gKe=Ii(e=>e,e=>e.gallery.selection[e.gallery.selection.length-1],ex),uq=Ii([e=>e],e=>{const{selectedBoardId:t,galleryView:n}=e.gallery;return{board_id:t,categories:n==="images"?oi:Ji,offset:0,limit:_le,is_intermediate:!1}},ex),FEe=()=>{Fe({actionCreator:jA,effect:async(e,{dispatch:t,getState:n,condition:r})=>{var f;const{imageDTOs:i,imagesUsage:o}=e.payload;if(i.length!==1||o.length!==1)return;const a=i[0],s=o[0];if(!a||!s)return;t(Yk(!1));const l=n(),u=(f=l.gallery.selection[l.gallery.selection.length-1])==null?void 0:f.image_name;if(a&&(a==null?void 0:a.image_name)===u){const{image_name:h}=a,p=uq(l),{data:m}=ve.endpoints.listImages.select(p)(l),_=m?Gn.getSelectors().selectAll(m):[],b=_.findIndex(S=>S.image_name===h),y=_.filter(S=>S.image_name!==h),g=Nu(b,0,y.length-1),v=y[g];t(Gs(v||null))}s.isCanvasImage&&t(bk()),i.forEach(h=>{var p;((p=n().generation.initialImage)==null?void 0:p.imageName)===h.image_name&&t(vk()),Ea(n().controlNet.controlNets,m=>{(m.controlImage===h.image_name||m.processedControlImage===h.image_name)&&(t(Cc({controlNetId:m.controlNetId,controlImage:null})),t(Xk({controlNetId:m.controlNetId,processedControlImage:null})))}),n().controlNet.ipAdapterInfo.adapterImage===h.image_name&&t(q2(null)),n().nodes.nodes.forEach(m=>{Ur(m)&&Ea(m.data.inputs,_=>{var b;_.type==="ImageField"&&((b=_.value)==null?void 0:b.image_name)===h.image_name&&t(Z2({nodeId:m.data.id,fieldName:_.name,value:void 0}))})})});const{requestId:c}=t(ve.endpoints.deleteImage.initiate(a));await r(h=>ve.endpoints.deleteImage.matchFulfilled(h)&&h.meta.requestId===c,3e4)&&t(us.util.invalidateTags([{type:"Board",id:a.board_id}]))}})},BEe=()=>{Fe({actionCreator:jA,effect:async(e,{dispatch:t,getState:n})=>{const{imageDTOs:r,imagesUsage:i}=e.payload;if(!(r.length<=1||i.length<=1))try{await t(ve.endpoints.deleteImages.initiate({imageDTOs:r})).unwrap();const 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r=this.isDragging;if(this.cancel(),!r)return;const{velocity:i}=n;this.startAnimation(i);const{onDragEnd:o}=this.getProps();o&&Dn.update(()=>o(t,n))}cancel(){this.isDragging=!1;const{projection:t,animationState:n}=this.visualElement;t&&(t.isAnimationBlocked=!1),this.panSession&&this.panSession.end(),this.panSession=void 0;const{dragPropagation:r}=this.getProps();!r&&this.openGlobalLock&&(this.openGlobalLock(),this.openGlobalLock=null),n&&n.setActive("whileDrag",!1)}updateAxis(t,n,r){const{drag:i}=this.getProps();if(!r||!o1(t,i,this.currentDirection))return;const o=this.getAxisMotionValue(t);let 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0)||0)}snapToCursor(t){ws(n=>{const{drag:r}=this.getProps();if(!o1(n,r,this.currentDirection))return;const{projection:i}=this.visualElement,o=this.getAxisMotionValue(n);if(i&&i.layout){const{min:a,max:s}=i.layout.layoutBox[n];o.set(t[n]-ur(a,s,.5))}})}scalePositionWithinConstraints(){if(!this.visualElement.current)return;const{drag:t,dragConstraints:n}=this.getProps(),{projection:r}=this.visualElement;if(!Kf(n)||!r||!this.constraints)return;this.stopAnimation();const i={x:0,y:0};ws(a=>{const s=this.getAxisMotionValue(a);if(s){const l=s.get();i[a]=r$e({min:l,max:l},this.constraints[a])}});const{transformTemplate:o}=this.visualElement.getProps();this.visualElement.current.style.transform=o?o({},""):"none",r.root&&r.root.updateScroll(),r.updateLayout(),this.resolveConstraints(),ws(a=>{if(!o1(a,t,null))return;const s=this.getAxisMotionValue(a),{min:l,max:u}=this.constraints[a];s.set(ur(l,u,i[a]))})}addListeners(){if(!this.visualElement.current)return;f$e.set(this.visualElement,this);const t=this.visualElement.current,n=Fl(t,"pointerdown",l=>{const{drag:u,dragListener:c=!0}=this.getProps();u&&c&&this.start(l)}),r=()=>{const{dragConstraints:l}=this.getProps();Kf(l)&&(this.constraints=this.resolveRefConstraints())},{projection:i}=this.visualElement,o=i.addEventListener("measure",r);i&&!i.layout&&(i.root&&i.root.updateScroll(),i.updateLayout()),r();const a=Ml(window,"resize",()=>this.scalePositionWithinConstraints()),s=i.addEventListener("didUpdate",({delta:l,hasLayoutChanged:u})=>{this.isDragging&&u&&(ws(c=>{const d=this.getAxisMotionValue(c);d&&(this.originPoint[c]+=l[c].translate,d.set(d.get()+l[c].translate))}),this.visualElement.render())});return()=>{a(),n(),o(),s&&s()}}getProps(){const t=this.visualElement.getProps(),{drag:n=!1,dragDirectionLock:r=!1,dragPropagation:i=!1,dragConstraints:o=!1,dragElastic:a=AT,dragMomentum:s=!0}=t;return{...t,drag:n,dragDirectionLock:r,dragPropagation:i,dragConstraints:o,dragElastic:a,dragMomentum:s}}}function o1(e,t,n){return(t===!0||t===e)&&(n===null||n===e)}function p$e(e,t=10){let n=null;return Math.abs(e.y)>t?n="y":Math.abs(e.x)>t&&(n="x"),n}class g$e extends Oc{constructor(t){super(t),this.removeGroupControls=vr,this.removeListeners=vr,this.controls=new h$e(t)}mount(){const{dragControls:t}=this.node.getProps();t&&(this.removeGroupControls=t.subscribe(this.controls)),this.removeListeners=this.controls.addListeners()||vr}unmount(){this.removeGroupControls(),this.removeListeners()}}const R7=e=>(t,n)=>{e&&Dn.update(()=>e(t,n))};class m$e extends Oc{constructor(){super(...arguments),this.removePointerDownListener=vr}onPointerDown(t){this.session=new _W(t,this.createPanHandlers(),{transformPagePoint:this.node.getTransformPagePoint()})}createPanHandlers(){const{onPanSessionStart:t,onPanStart:n,onPan:r,onPanEnd:i}=this.node.getProps();return{onSessionStart:R7(t),onStart:R7(n),onMove:r,onEnd:(o,a)=>{delete this.session,i&&Dn.update(()=>i(o,a))}}}mount(){this.removePointerDownListener=Fl(this.node.current,"pointerdown",t=>this.onPointerDown(t))}update(){this.session&&this.session.updateHandlers(this.createPanHandlers())}unmount(){this.removePointerDownListener(),this.session&&this.session.end()}}function y$e(){const e=I.useContext(Ny);if(e===null)return[!0,null];const{isPresent:t,onExitComplete:n,register:r}=e,i=I.useId();return I.useEffect(()=>r(i),[]),!t&&n?[!1,()=>n&&n(i)]:[!0]}function v$e(){return b$e(I.useContext(Ny))}function b$e(e){return e===null?!0:e.isPresent}const ab={hasAnimatedSinceResize:!0,hasEverUpdated:!1};function O7(e,t){return t.max===t.min?0:e/(t.max-t.min)*100}const cg={correct:(e,t)=>{if(!t.target)return e;if(typeof e=="string")if(st.test(e))e=parseFloat(e);else return e;const n=O7(e,t.target.x),r=O7(e,t.target.y);return`${n}% ${r}%`}},_$e={correct:(e,{treeScale:t,projectionDelta:n})=>{const r=e,i=gc.parse(e);if(i.length>5)return r;const o=gc.createTransformer(e),a=typeof i[0]!="number"?1:0,s=n.x.scale*t.x,l=n.y.scale*t.y;i[0+a]/=s,i[1+a]/=l;const u=ur(s,l,.5);return typeof i[2+a]=="number"&&(i[2+a]/=u),typeof i[3+a]=="number"&&(i[3+a]/=u),o(i)}};class S$e extends Tn.Component{componentDidMount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r,layoutId:i}=this.props,{projection:o}=t;TMe(x$e),o&&(n.group&&n.group.add(o),r&&r.register&&i&&r.register(o),o.root.didUpdate(),o.addEventListener("animationComplete",()=>{this.safeToRemove()}),o.setOptions({...o.options,onExitComplete:()=>this.safeToRemove()})),ab.hasEverUpdated=!0}getSnapshotBeforeUpdate(t){const{layoutDependency:n,visualElement:r,drag:i,isPresent:o}=this.props,a=r.projection;return a&&(a.isPresent=o,i||t.layoutDependency!==n||n===void 0?a.willUpdate():this.safeToRemove(),t.isPresent!==o&&(o?a.promote():a.relegate()||Dn.postRender(()=>{const s=a.getStack();(!s||!s.members.length)&&this.safeToRemove()}))),null}componentDidUpdate(){const{projection:t}=this.props.visualElement;t&&(t.root.didUpdate(),queueMicrotask(()=>{!t.currentAnimation&&t.isLead()&&this.safeToRemove()}))}componentWillUnmount(){const{visualElement:t,layoutGroup:n,switchLayoutGroup:r}=this.props,{projection:i}=t;i&&(i.scheduleCheckAfterUnmount(),n&&n.group&&n.group.remove(i),r&&r.deregister&&r.deregister(i))}safeToRemove(){const{safeToRemove:t}=this.props;t&&t()}render(){return null}}function TW(e){const[t,n]=y$e(),r=I.useContext(oP);return Tn.createElement(S$e,{...e,layoutGroup:r,switchLayoutGroup:I.useContext(SH),isPresent:t,safeToRemove:n})}const x$e={borderRadius:{...cg,applyTo:["borderTopLeftRadius","borderTopRightRadius","borderBottomLeftRadius","borderBottomRightRadius"]},borderTopLeftRadius:cg,borderTopRightRadius:cg,borderBottomLeftRadius:cg,borderBottomRightRadius:cg,boxShadow:_$e},kW=["TopLeft","TopRight","BottomLeft","BottomRight"],w$e=kW.length,M7=e=>typeof e=="string"?parseFloat(e):e,N7=e=>typeof e=="number"||st.test(e);function C$e(e,t,n,r,i,o){i?(e.opacity=ur(0,n.opacity!==void 0?n.opacity:1,E$e(r)),e.opacityExit=ur(t.opacity!==void 0?t.opacity:1,0,T$e(r))):o&&(e.opacity=ur(t.opacity!==void 0?t.opacity:1,n.opacity!==void 0?n.opacity:1,r));for(let a=0;a<w$e;a++){const s=`border${kW[a]}Radius`;let l=$7(t,s),u=$7(n,s);if(l===void 0&&u===void 0)continue;l||(l=0),u||(u=0),l===0||u===0||N7(l)===N7(u)?(e[s]=Math.max(ur(M7(l),M7(u),r),0),(Qs.test(u)||Qs.test(l))&&(e[s]+="%")):e[s]=u}(t.rotate||n.rotate)&&(e.rotate=ur(t.rotate||0,n.rotate||0,r))}function $7(e,t){return e[t]!==void 0?e[t]:e.borderRadius}const E$e=AW(0,.5,gP),T$e=AW(.5,.95,vr);function AW(e,t,n){return r=>r<e?0:r>t?1:n(M0(e,t,r))}function D7(e,t){e.min=t.min,e.max=t.max}function ca(e,t){D7(e.x,t.x),D7(e.y,t.y)}function L7(e,t,n,r,i){return e-=t,e=iS(e,1/n,r),i!==void 0&&(e=iS(e,1/i,r)),e}function k$e(e,t=0,n=1,r=.5,i,o=e,a=e){if(Qs.test(t)&&(t=parseFloat(t),t=ur(a.min,a.max,t/100)-a.min),typeof t!="number")return;let s=ur(o.min,o.max,r);e===o&&(s-=t),e.min=L7(e.min,t,n,s,i),e.max=L7(e.max,t,n,s,i)}function F7(e,t,[n,r,i],o,a){k$e(e,t[n],t[r],t[i],t.scale,o,a)}const A$e=["x","scaleX","originX"],P$e=["y","scaleY","originY"];function B7(e,t,n,r){F7(e.x,t,A$e,n?n.x:void 0,r?r.x:void 0),F7(e.y,t,P$e,n?n.y:void 0,r?r.y:void 0)}function z7(e){return e.translate===0&&e.scale===1}function PW(e){return z7(e.x)&&z7(e.y)}function I$e(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function IW(e,t){return Math.round(e.x.min)===Math.round(t.x.min)&&Math.round(e.x.max)===Math.round(t.x.max)&&Math.round(e.y.min)===Math.round(t.y.min)&&Math.round(e.y.max)===Math.round(t.y.max)}function j7(e){return ea(e.x)/ea(e.y)}class R$e{constructor(){this.members=[]}add(t){_P(this.members,t),t.scheduleRender()}remove(t){if(SP(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const n=this.members[this.members.length-1];n&&this.promote(n)}}relegate(t){const n=this.members.findIndex(i=>t===i);if(n===0)return!1;let r;for(let i=n;i>=0;i--){const o=this.members[i];if(o.isPresent!==!1){r=o;break}}return r?(this.promote(r),!0):!1}promote(t,n){const r=this.lead;if(t!==r&&(this.prevLead=r,this.lead=t,t.show(),r)){r.instance&&r.scheduleRender(),t.scheduleRender(),t.resumeFrom=r,n&&(t.resumeFrom.preserveOpacity=!0),r.snapshot&&(t.snapshot=r.snapshot,t.snapshot.latestValues=r.animationValues||r.latestValues),t.root&&t.root.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:i}=t.options;i===!1&&r.hide()}}exitAnimationComplete(){this.members.forEach(t=>{const{options:n,resumingFrom:r}=t;n.onExitComplete&&n.onExitComplete(),r&&r.options.onExitComplete&&r.options.onExitComplete()})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}function U7(e,t,n){let r="";const i=e.x.translate/t.x,o=e.y.translate/t.y;if((i||o)&&(r=`translate3d(${i}px, ${o}px, 0) `),(t.x!==1||t.y!==1)&&(r+=`scale(${1/t.x}, ${1/t.y}) `),n){const{rotate:l,rotateX:u,rotateY:c}=n;l&&(r+=`rotate(${l}deg) `),u&&(r+=`rotateX(${u}deg) `),c&&(r+=`rotateY(${c}deg) `)}const 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0:t()){this.id=F$e++,this.animationId=0,this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.isProjectionDirty=!1,this.isSharedProjectionDirty=!1,this.isTransformDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.hasTreeAnimated=!1,this.updateScheduled=!1,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{Hc.totalNodes=Hc.resolvedTargetDeltas=Hc.recalculatedProjection=0,this.nodes.forEach(j$e),this.nodes.forEach(H$e),this.nodes.forEach(W$e),this.nodes.forEach(U$e),$$e(Hc)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.latestValues=a,this.root=s?s.root||s:this,this.path=s?[...s.path,s]:[],this.parent=s,this.depth=s?s.depth+1:0;for(let l=0;l<this.path.length;l++)this.path[l].shouldResetTransform=!0;this.root===this&&(this.nodes=new M$e)}addEventListener(a,s){return this.eventHandlers.has(a)||this.eventHandlers.set(a,new xP),this.eventHandlers.get(a).add(s)}notifyListeners(a,...s){const l=this.eventHandlers.get(a);l&&l.notify(...s)}hasListeners(a){return this.eventHandlers.has(a)}mount(a,s=this.root.hasTreeAnimated){if(this.instance)return;this.isSVG=D$e(a),this.instance=a;const{layoutId:l,layout:u,visualElement:c}=this.options;if(c&&!c.current&&c.mount(a),this.root.nodes.add(this),this.parent&&this.parent.children.add(this),s&&(u||l)&&(this.isLayoutDirty=!0),e){let d;const 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a&&a.getProps().transformTemplate}willUpdate(a=!0){if(this.root.hasTreeAnimated=!0,this.root.isUpdateBlocked()){this.options.onExitComplete&&this.options.onExitComplete();return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let c=0;c<this.path.length;c++){const d=this.path[c];d.shouldResetTransform=!0,d.updateScroll("snapshot"),d.options.layoutRoot&&d.willUpdate(!1)}const{layoutId:s,layout:l}=this.options;if(s===void 0&&!l)return;const u=this.getTransformTemplate();this.prevTransformTemplateValue=u?u(this.latestValues,""):void 0,this.updateSnapshot(),a&&this.notifyListeners("willUpdate")}update(){if(this.updateScheduled=!1,this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(q7);return}this.isUpdating||this.nodes.forEach(G$e),this.isUpdating=!1,this.nodes.forEach(q$e),this.nodes.forEach(B$e),this.nodes.forEach(z$e),this.clearAllSnapshots();const 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a&&(l=this.removeTransform(l)),J$e(l),{animationId:this.root.animationId,measuredBox:s,layoutBox:l,latestValues:{},source:this.id}}measurePageBox(){const{visualElement:a}=this.options;if(!a)return $r();const s=a.measureViewportBox(),{scroll:l}=this.root;return l&&(xu(s.x,l.offset.x),xu(s.y,l.offset.y)),s}removeElementScroll(a){const s=$r();ca(s,a);for(let l=0;l<this.path.length;l++){const u=this.path[l],{scroll:c,options:d}=u;if(u!==this.root&&c&&d.layoutScroll){if(c.isRoot){ca(s,a);const{scroll:f}=this.root;f&&(xu(s.x,-f.offset.x),xu(s.y,-f.offset.y))}xu(s.x,c.offset.x),xu(s.y,c.offset.y)}}return s}applyTransform(a,s=!1){const l=$r();ca(l,a);for(let u=0;u<this.path.length;u++){const c=this.path[u];!s&&c.options.layoutScroll&&c.scroll&&c!==c.root&&Yf(l,{x:-c.scroll.offset.x,y:-c.scroll.offset.y}),qc(c.latestValues)&&Yf(l,c.latestValues)}return qc(this.latestValues)&&Yf(l,this.latestValues),l}removeTransform(a){const s=$r();ca(s,a);for(let l=0;l<this.path.length;l++){const u=this.path[l];if(!u.instance||!qc(u.latestValues))continue;PT(u.latestValues)&&u.updateSnapshot();const c=$r(),d=u.measurePageBox();ca(c,d),B7(s,u.latestValues,u.snapshot?u.snapshot.layoutBox:void 0,c)}return qc(this.latestValues)&&B7(s,this.latestValues),s}setTargetDelta(a){this.targetDelta=a,this.root.scheduleUpdateProjection(),this.isProjectionDirty=!0}setOptions(a){this.options={...this.options,...a,crossfade:a.crossfade!==void 0?a.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}forceRelativeParentToResolveTarget(){this.relativeParent&&this.relativeParent.resolvedRelativeTargetAt!==ji.timestamp&&this.relativeParent.resolveTargetDelta(!0)}resolveTargetDelta(a=!1){var s;const l=this.getLead();this.isProjectionDirty||(this.isProjectionDirty=l.isProjectionDirty),this.isTransformDirty||(this.isTransformDirty=l.isTransformDirty),this.isSharedProjectionDirty||(this.isSharedProjectionDirty=l.isSharedProjectionDirty);const u=!!this.resumingFrom||this!==l;if(!(a||u&&this.isSharedProjectionDirty||this.isProjectionDirty||!((s=this.parent)===null||s===void 0)&&s.isProjectionDirty||this.attemptToResolveRelativeTarget))return;const{layout:d,layoutId:f}=this.options;if(!(!this.layout||!(d||f))){if(this.resolvedRelativeTargetAt=ji.timestamp,!this.targetDelta&&!this.relativeTarget){const h=this.getClosestProjectingParent();h&&h.layout&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=$r(),this.relativeTargetOrigin=$r(),om(this.relativeTargetOrigin,this.layout.layoutBox,h.layout.layoutBox),ca(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}if(!(!this.relativeTarget&&!this.targetDelta)){if(this.target||(this.target=$r(),this.targetWithTransforms=$r()),this.relativeTarget&&this.relativeTargetOrigin&&this.relativeParent&&this.relativeParent.target?(this.forceRelativeParentToResolveTarget(),JNe(this.target,this.relativeTarget,this.relativeParent.target)):this.targetDelta?(this.resumingFrom?this.target=this.applyTransform(this.layout.layoutBox):ca(this.target,this.layout.layoutBox),CW(this.target,this.targetDelta)):ca(this.target,this.layout.layoutBox),this.attemptToResolveRelativeTarget){this.attemptToResolveRelativeTarget=!1;const h=this.getClosestProjectingParent();h&&!!h.resumingFrom==!!this.resumingFrom&&!h.options.layoutScroll&&h.target&&this.animationProgress!==1?(this.relativeParent=h,this.forceRelativeParentToResolveTarget(),this.relativeTarget=$r(),this.relativeTargetOrigin=$r(),om(this.relativeTargetOrigin,this.target,h.target),ca(this.relativeTarget,this.relativeTargetOrigin)):this.relativeParent=this.relativeTarget=void 0}Hc.resolvedTargetDeltas++}}}getClosestProjectingParent(){if(!(!this.parent||PT(this.parent.latestValues)||wW(this.parent.latestValues)))return this.parent.isProjecting()?this.parent:this.parent.getClosestProjectingParent()}isProjecting(){return!!((this.relativeTarget||this.targetDelta||this.options.layoutRoot)&&this.layout)}calcProjection(){var a;const s=this.getLead(),l=!!this.resumingFrom||this!==s;let u=!0;if((this.isProjectionDirty||!((a=this.parent)===null||a===void 0)&&a.isProjectionDirty)&&(u=!1),l&&(this.isSharedProjectionDirty||this.isTransformDirty)&&(u=!1),this.resolvedRelativeTargetAt===ji.timestamp&&(u=!1),u)return;const{layout:c,layoutId:d}=this.options;if(this.isTreeAnimating=!!(this.parent&&this.parent.isTreeAnimating||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(c||d))return;ca(this.layoutCorrected,this.layout.layoutBox);const f=this.treeScale.x,h=this.treeScale.y;l$e(this.layoutCorrected,this.treeScale,this.path,l),s.layout&&!s.target&&(this.treeScale.x!==1||this.treeScale.y!==1)&&(s.target=s.layout.layoutBox);const{target:p}=s;if(!p){this.projectionTransform&&(this.projectionDelta=Xf(),this.projectionTransform="none",this.scheduleRender());return}this.projectionDelta||(this.projectionDelta=Xf(),this.projectionDeltaWithTransform=Xf());const m=this.projectionTransform;im(this.projectionDelta,this.layoutCorrected,p,this.latestValues),this.projectionTransform=U7(this.projectionDelta,this.treeScale),(this.projectionTransform!==m||this.treeScale.x!==f||this.treeScale.y!==h)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",p)),Hc.recalculatedProjection++}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(a=!0){if(this.options.scheduleRender&&this.options.scheduleRender(),a){const s=this.getStack();s&&s.scheduleRender()}this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(a,s=!1){const l=this.snapshot,u=l?l.latestValues:{},c={...this.latestValues},d=Xf();(!this.relativeParent||!this.relativeParent.options.layoutRoot)&&(this.relativeTarget=this.relativeTargetOrigin=void 0),this.attemptToResolveRelativeTarget=!s;const f=$r(),h=l?l.source:void 0,p=this.layout?this.layout.source:void 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S=v/1e3;W7(d.x,a.x,S),W7(d.y,a.y,S),this.setTargetDelta(d),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&this.relativeParent&&this.relativeParent.layout&&(om(f,this.layout.layoutBox,this.relativeParent.layout.layoutBox),X$e(this.relativeTarget,this.relativeTargetOrigin,f,S),g&&I$e(this.relativeTarget,g)&&(this.isProjectionDirty=!1),g||(g=$r()),ca(g,this.relativeTarget)),m&&(this.animationValues=c,C$e(c,u,this.latestValues,S,y,b)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=S},this.mixTargetDelta(this.options.layoutRoot?1e3:0)}startAnimation(a){this.notifyListeners("animationStart"),this.currentAnimation&&this.currentAnimation.stop(),this.resumingFrom&&this.resumingFrom.currentAnimation&&this.resumingFrom.currentAnimation.stop(),this.pendingAnimation&&(Xl(this.pendingAnimation),this.pendingAnimation=void 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a=this.getLead();let{targetWithTransforms:s,target:l,layout:u,latestValues:c}=a;if(!(!s||!l||!u)){if(this!==a&&this.layout&&u&&OW(this.options.animationType,this.layout.layoutBox,u.layoutBox)){l=this.target||$r();const d=ea(this.layout.layoutBox.x);l.x.min=a.target.x.min,l.x.max=l.x.min+d;const f=ea(this.layout.layoutBox.y);l.y.min=a.target.y.min,l.y.max=l.y.min+f}ca(s,l),Yf(s,c),im(this.projectionDeltaWithTransform,this.layoutCorrected,s,c)}}registerSharedNode(a,s){this.sharedNodes.has(a)||this.sharedNodes.set(a,new R$e),this.sharedNodes.get(a).add(s);const u=s.options.initialPromotionConfig;s.promote({transition:u?u.transition:void 0,preserveFollowOpacity:u&&u.shouldPreserveFollowOpacity?u.shouldPreserveFollowOpacity(s):void 0})}isLead(){const a=this.getStack();return a?a.lead===this:!0}getLead(){var a;const{layoutId:s}=this.options;return s?((a=this.getStack())===null||a===void 0?void 0:a.lead)||this:this}getPrevLead(){var a;const{layoutId:s}=this.options;return s?(a=this.getStack())===null||a===void 0?void 0:a.prevLead:void 0}getStack(){const{layoutId:a}=this.options;if(a)return this.root.sharedNodes.get(a)}promote({needsReset:a,transition:s,preserveFollowOpacity:l}={}){const u=this.getStack();u&&u.promote(this,l),a&&(this.projectionDelta=void 0,this.needsReset=!0),s&&this.setOptions({transition:s})}relegate(){const a=this.getStack();return a?a.relegate(this):!1}resetRotation(){const{visualElement:a}=this.options;if(!a)return;let s=!1;const{latestValues:l}=a;if((l.rotate||l.rotateX||l.rotateY||l.rotateZ)&&(s=!0),!s)return;const u={};for(let c=0;c<V7.length;c++){const d="rotate"+V7[c];l[d]&&(u[d]=l[d],a.setStaticValue(d,0))}a.render();for(const c in u)a.setStaticValue(c,u[c]);a.scheduleRender()}getProjectionStyles(a={}){var s,l;const u={};if(!this.instance||this.isSVG)return u;if(this.isVisible)u.visibility="";else return{visibility:"hidden"};const c=this.getTransformTemplate();if(this.needsReset)return this.needsReset=!1,u.opacity="",u.pointerEvents=ob(a.pointerEvents)||"",u.transform=c?c(this.latestValues,""):"none",u;const d=this.getLead();if(!this.projectionDelta||!this.layout||!d.target){const m={};return this.options.layoutId&&(m.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,m.pointerEvents=ob(a.pointerEvents)||""),this.hasProjected&&!qc(this.latestValues)&&(m.transform=c?c({},""):"none",this.hasProjected=!1),m}const f=d.animationValues||d.latestValues;this.applyTransformsToTarget(),u.transform=U7(this.projectionDeltaWithTransform,this.treeScale,f),c&&(u.transform=c(f,u.transform));const{x:h,y:p}=this.projectionDelta;u.transformOrigin=`${h.origin*100}% ${p.origin*100}% 0`,d.animationValues?u.opacity=d===this?(l=(s=f.opacity)!==null&&s!==void 0?s:this.latestValues.opacity)!==null&&l!==void 0?l:1:this.preserveOpacity?this.latestValues.opacity:f.opacityExit:u.opacity=d===this?f.opacity!==void 0?f.opacity:"":f.opacityExit!==void 0?f.opacityExit:0;for(const m in Y_){if(f[m]===void 0)continue;const{correct:_,applyTo:b}=Y_[m],y=u.transform==="none"?f[m]:_(f[m],d);if(b){const g=b.length;for(let v=0;v<g;v++)u[b[v]]=y}else u[m]=y}return this.options.layoutId&&(u.pointerEvents=d===this?ob(a.pointerEvents)||"":"none"),u}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(a=>{var s;return(s=a.currentAnimation)===null||s===void 0?void 0:s.stop()}),this.root.nodes.forEach(q7),this.root.sharedNodes.clear()}}}function B$e(e){e.updateLayout()}function z$e(e){var t;const n=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&n&&e.hasListeners("didUpdate")){const{layoutBox:r,measuredBox:i}=e.layout,{animationType:o}=e.options,a=n.source!==e.layout.source;o==="size"?ws(d=>{const f=a?n.measuredBox[d]:n.layoutBox[d],h=ea(f);f.min=r[d].min,f.max=f.min+h}):OW(o,n.layoutBox,r)&&ws(d=>{const f=a?n.measuredBox[d]:n.layoutBox[d],h=ea(r[d]);f.max=f.min+h,e.relativeTarget&&!e.currentAnimation&&(e.isProjectionDirty=!0,e.relativeTarget[d].max=e.relativeTarget[d].min+h)});const s=Xf();im(s,r,n.layoutBox);const l=Xf();a?im(l,e.applyTransform(i,!0),n.measuredBox):im(l,r,n.layoutBox);const u=!PW(s);let c=!1;if(!e.resumeFrom){const d=e.getClosestProjectingParent();if(d&&!d.resumeFrom){const{snapshot:f,layout:h}=d;if(f&&h){const p=$r();om(p,n.layoutBox,f.layoutBox);const m=$r();om(m,r,h.layoutBox),IW(p,m)||(c=!0),d.options.layoutRoot&&(e.relativeTarget=m,e.relativeTargetOrigin=p,e.relativeParent=d)}}}e.notifyListeners("didUpdate",{layout:r,snapshot:n,delta:l,layoutDelta:s,hasLayoutChanged:u,hasRelativeTargetChanged:c})}else if(e.isLead()){const{onExitComplete:r}=e.options;r&&r()}e.options.transition=void 0}function j$e(e){Hc.totalNodes++,e.parent&&(e.isProjecting()||(e.isProjectionDirty=e.parent.isProjectionDirty),e.isSharedProjectionDirty||(e.isSharedProjectionDirty=!!(e.isProjectionDirty||e.parent.isProjectionDirty||e.parent.isSharedProjectionDirty)),e.isTransformDirty||(e.isTransformDirty=e.parent.isTransformDirty))}function U$e(e){e.isProjectionDirty=e.isSharedProjectionDirty=e.isTransformDirty=!1}function V$e(e){e.clearSnapshot()}function q7(e){e.clearMeasurements()}function G$e(e){e.isLayoutDirty=!1}function q$e(e){const{visualElement:t}=e.options;t&&t.getProps().onBeforeLayoutMeasure&&t.notify("BeforeLayoutMeasure"),e.resetTransform()}function H7(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0,e.isProjectionDirty=!0}function H$e(e){e.resolveTargetDelta()}function W$e(e){e.calcProjection()}function K$e(e){e.resetRotation()}function Q$e(e){e.removeLeadSnapshot()}function W7(e,t,n){e.translate=ur(t.translate,0,n),e.scale=ur(t.scale,1,n),e.origin=t.origin,e.originPoint=t.originPoint}function K7(e,t,n,r){e.min=ur(t.min,n.min,r),e.max=ur(t.max,n.max,r)}function X$e(e,t,n,r){K7(e.x,t.x,n.x,r),K7(e.y,t.y,n.y,r)}function Y$e(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const Z$e={duration:.45,ease:[.4,0,.1,1]},Q7=e=>typeof navigator<"u"&&navigator.userAgent.toLowerCase().includes(e),X7=Q7("applewebkit/")&&!Q7("chrome/")?Math.round:vr;function Y7(e){e.min=X7(e.min),e.max=X7(e.max)}function J$e(e){Y7(e.x),Y7(e.y)}function OW(e,t,n){return e==="position"||e==="preserve-aspect"&&!kT(j7(t),j7(n),.2)}const eDe=RW({attachResizeListener:(e,t)=>Ml(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),D5={current:void 0},MW=RW({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!D5.current){const e=new eDe({});e.mount(window),e.setOptions({layoutScroll:!0}),D5.current=e}return D5.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>window.getComputedStyle(e).position==="fixed"}),tDe={pan:{Feature:m$e},drag:{Feature:g$e,ProjectionNode:MW,MeasureLayout:TW}},nDe=/var\((--[a-zA-Z0-9-_]+),? ?([a-zA-Z0-9 ()%#.,-]+)?\)/;function rDe(e){const t=nDe.exec(e);if(!t)return[,];const[,n,r]=t;return[n,r]}function RT(e,t,n=1){const[r,i]=rDe(e);if(!r)return;const o=window.getComputedStyle(t).getPropertyValue(r);if(o){const a=o.trim();return mW(a)?parseFloat(a):a}else return _T(i)?RT(i,t,n+1):i}function iDe(e,{...t},n){const r=e.current;if(!(r instanceof Element))return{target:t,transitionEnd:n};n&&(n={...n}),e.values.forEach(i=>{const o=i.get();if(!_T(o))return;const a=RT(o,r);a&&i.set(a)});for(const i in t){const o=t[i];if(!_T(o))continue;const a=RT(o,r);a&&(t[i]=a,n||(n={}),n[i]===void 0&&(n[i]=o))}return{target:t,transitionEnd:n}}const oDe=new Set(["width","height","top","left","right","bottom","x","y","translateX","translateY"]),NW=e=>oDe.has(e),aDe=e=>Object.keys(e).some(NW),Z7=e=>e===ef||e===st,J7=(e,t)=>parseFloat(e.split(", ")[t]),eN=(e,t)=>(n,{transform:r})=>{if(r==="none"||!r)return 0;const i=r.match(/^matrix3d\((.+)\)$/);if(i)return J7(i[1],t);{const o=r.match(/^matrix\((.+)\)$/);return o?J7(o[1],e):0}},sDe=new Set(["x","y","z"]),lDe=$y.filter(e=>!sDe.has(e));function uDe(e){const t=[];return lDe.forEach(n=>{const r=e.getValue(n);r!==void 0&&(t.push([n,r.get()]),r.set(n.startsWith("scale")?1:0))}),t.length&&e.render(),t}const cp={width:({x:e},{paddingLeft:t="0",paddingRight:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),height:({y:e},{paddingTop:t="0",paddingBottom:n="0"})=>e.max-e.min-parseFloat(t)-parseFloat(n),top:(e,{top:t})=>parseFloat(t),left:(e,{left:t})=>parseFloat(t),bottom:({y:e},{top:t})=>parseFloat(t)+(e.max-e.min),right:({x:e},{left:t})=>parseFloat(t)+(e.max-e.min),x:eN(4,13),y:eN(5,14)};cp.translateX=cp.x;cp.translateY=cp.y;const cDe=(e,t,n)=>{const r=t.measureViewportBox(),i=t.current,o=getComputedStyle(i),{display:a}=o,s={};a==="none"&&t.setStaticValue("display",e.display||"block"),n.forEach(u=>{s[u]=cp[u](r,o)}),t.render();const l=t.measureViewportBox();return n.forEach(u=>{const c=t.getValue(u);c&&c.jump(s[u]),e[u]=cp[u](l,o)}),e},dDe=(e,t,n={},r={})=>{t={...t},r={...r};const i=Object.keys(t).filter(NW);let o=[],a=!1;const s=[];if(i.forEach(l=>{const u=e.getValue(l);if(!e.hasValue(l))return;let c=n[l],d=ug(c);const f=t[l];let h;if(J_(f)){const 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e=window.matchMedia("(prefers-reduced-motion)"),t=()=>OT.current=e.matches;e.addListener(t),t()}else OT.current=!1}function gDe(e,t,n){const{willChange:r}=t;for(const i in t){const o=t[i],a=n[i];if(No(o))e.addValue(i,o),rS(r)&&r.add(i);else if(No(a))e.addValue(i,up(o,{owner:e})),rS(r)&&r.remove(i);else if(a!==o)if(e.hasValue(i)){const s=e.getValue(i);!s.hasAnimated&&s.set(o)}else{const s=e.getStaticValue(i);e.addValue(i,up(s!==void 0?s:o,{owner:e}))}}for(const i in n)t[i]===void 0&&e.removeValue(i);return t}const tN=new WeakMap,DW=Object.keys(O0),mDe=DW.length,nN=["AnimationStart","AnimationComplete","Update","BeforeLayoutMeasure","LayoutMeasure","LayoutAnimationStart","LayoutAnimationComplete"],yDe=iP.length;class vDe{constructor({parent:t,props:n,presenceContext:r,reducedMotionConfig:i,visualState:o},a={}){this.current=null,this.children=new Set,this.isVariantNode=!1,this.isControllingVariants=!1,this.shouldReduceMotion=null,this.values=new Map,this.features={},this.valueSubscriptions=new Map,this.prevMotionValues={},this.events={},this.propEventSubscriptions={},this.notifyUpdate=()=>this.notify("Update",this.latestValues),this.render=()=>{this.current&&(this.triggerBuild(),this.renderInstance(this.current,this.renderState,this.props.style,this.projection))},this.scheduleRender=()=>Dn.render(this.render,!1,!0);const{latestValues:s,renderState:l}=o;this.latestValues=s,this.baseTarget={...s},this.initialValues=n.initial?{...s}:{},this.renderState=l,this.parent=t,this.props=n,this.presenceContext=r,this.depth=t?t.depth+1:0,this.reducedMotionConfig=i,this.options=a,this.isControllingVariants=dw(n),this.isVariantNode=_H(n),this.isVariantNode&&(this.variantChildren=new Set),this.manuallyAnimateOnMount=!!(t&&t.current);const{willChange:u,...c}=this.scrapeMotionValuesFromProps(n,{});for(const d in c){const f=c[d];s[d]!==void 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this.opts.port&&(this.opts.secure&&+(this.opts.port!==443)||!this.opts.secure&&Number(this.opts.port)!==80)?":"+this.opts.port:""}_query(t){const n=bBe(t);return n.length?"?"+n:""}}const fK="0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz-_".split(""),DT=64,xBe={};let fN=0,g1=0,hN;function pN(e){let t="";do t=fK[e%DT]+t,e=Math.floor(e/DT);while(e>0);return t}function hK(){const e=pN(+new Date);return e!==hN?(fN=0,hN=e):e+"."+pN(fN++)}for(;g1<DT;g1++)xBe[fK[g1]]=g1;let pK=!1;try{pK=typeof XMLHttpRequest<"u"&&"withCredentials"in new XMLHttpRequest}catch{}const wBe=pK;function gK(e){const t=e.xdomain;try{if(typeof XMLHttpRequest<"u"&&(!t||wBe))return new XMLHttpRequest}catch{}if(!t)try{return new ya[["Active"].concat("Object").join("X")]("Microsoft.XMLHTTP")}catch{}}function CBe(){}const EBe=function(){return new gK({xdomain:!1}).responseType!=null}();class TBe extends IP{constructor(t){if(super(t),this.polling=!1,typeof location<"u"){const r=location.protocol==="https:";let i=location.port;i||(i=r?"443":"80"),this.xd=typeof location<"u"&&t.hostname!==location.hostname||i!==t.port}const n=t&&t.forceBase64;this.supportsBinary=EBe&&!n,this.opts.withCredentials&&(this.cookieJar=void 0)}get name(){return"polling"}doOpen(){this.poll()}pause(t){this.readyState="pausing";const n=()=>{this.readyState="paused",t()};if(this.polling||!this.writable){let r=0;this.polling&&(r++,this.once("pollComplete",function(){--r||n()})),this.writable||(r++,this.once("drain",function(){--r||n()}))}else n()}poll(){this.polling=!0,this.doPoll(),this.emitReserved("poll")}onData(t){const n=r=>{if(this.readyState==="opening"&&r.type==="open"&&this.onOpen(),r.type==="close")return this.onClose({description:"transport closed by the server"}),!1;this.onPacket(r)};cBe(t,this.socket.binaryType).forEach(n),this.readyState!=="closed"&&(this.polling=!1,this.emitReserved("pollComplete"),this.readyState==="open"&&this.poll())}doClose(){const t=()=>{this.write([{type:"close"}])};this.readyState==="open"?t():this.once("open",t)}write(t){this.writable=!1,uBe(t,n=>{this.doWrite(n,()=>{this.writable=!0,this.emitReserved("drain")})})}uri(){const t=this.opts.secure?"https":"http",n=this.query||{};return this.opts.timestampRequests!==!1&&(n[this.opts.timestampParam]=hK()),!this.supportsBinary&&!n.sid&&(n.b64=1),this.createUri(t,n)}request(t={}){return Object.assign(t,{xd:this.xd,cookieJar:this.cookieJar},this.opts),new Th(this.uri(),t)}doWrite(t,n){const r=this.request({method:"POST",data:t});r.on("success",n),r.on("error",(i,o)=>{this.onError("xhr post error",i,o)})}doPoll(){const t=this.request();t.on("data",this.onData.bind(this)),t.on("error",(n,r)=>{this.onError("xhr poll error",n,r)}),this.pollXhr=t}}let Th=class lb extends Fr{constructor(t,n){super(),mw(this,n),this.opts=n,this.method=n.method||"GET",this.uri=t,this.data=n.data!==void 0?n.data:null,this.create()}create(){var t;const n=dK(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");n.xdomain=!!this.opts.xd;const r=this.xhr=new gK(n);try{r.open(this.method,this.uri,!0);try{if(this.opts.extraHeaders){r.setDisableHeaderCheck&&r.setDisableHeaderCheck(!0);for(let i in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}(t=this.opts.cookieJar)===null||t===void 0||t.addCookies(r),"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{var i;r.readyState===3&&((i=this.opts.cookieJar)===null||i===void 0||i.parseCookies(r)),r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=lb.requestsCount++,lb.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=CBe,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete lb.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}};Th.requestsCount=0;Th.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",gN);else if(typeof addEventListener=="function"){const e="onpagehide"in ya?"pagehide":"unload";addEventListener(e,gN,!1)}}function gN(){for(let e in Th.requests)Th.requests.hasOwnProperty(e)&&Th.requests[e].abort()}const RP=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,n)=>n(t,0))(),m1=ya.WebSocket||ya.MozWebSocket,mN=!0,kBe="arraybuffer",yN=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class ABe extends IP{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),n=this.opts.protocols,r=yN?{}:dK(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(r.headers=this.opts.extraHeaders);try{this.ws=mN&&!yN?n?new m1(t,n):new m1(t):new m1(t,n,r)}catch(i){return this.emitReserved("error",i)}this.ws.binaryType=this.socket.binaryType,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;AP(r,this.supportsBinary,o=>{const a={};try{mN&&this.ws.send(o)}catch{}i&&RP(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){const t=this.opts.secure?"wss":"ws",n=this.query||{};return this.opts.timestampRequests&&(n[this.opts.timestampParam]=hK()),this.supportsBinary||(n.b64=1),this.createUri(t,n)}check(){return!!m1}}class PBe extends IP{get name(){return"webtransport"}doOpen(){typeof WebTransport=="function"&&(this.transport=new WebTransport(this.createUri("https"),this.opts.transportOptions[this.name]),this.transport.closed.then(()=>{this.onClose()}).catch(t=>{this.onError("webtransport error",t)}),this.transport.ready.then(()=>{this.transport.createBidirectionalStream().then(t=>{const n=fBe(Number.MAX_SAFE_INTEGER,this.socket.binaryType),r=t.readable.pipeThrough(n).getReader(),i=dBe();i.readable.pipeTo(t.writable),this.writer=i.writable.getWriter();const o=()=>{r.read().then(({done:s,value:l})=>{s||(this.onPacket(l),o())}).catch(s=>{})};o();const a={type:"open"};this.query.sid&&(a.data=`{"sid":"${this.query.sid}"}`),this.writer.write(a).then(()=>this.onOpen())})}))}write(t){this.writable=!1;for(let n=0;n<t.length;n++){const r=t[n],i=n===t.length-1;this.writer.write(r).then(()=>{i&&RP(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){var t;(t=this.transport)===null||t===void 0||t.close()}}const IBe={websocket:ABe,webtransport:PBe,polling:TBe},RBe=/^(?:(?![^:@\/?#]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@\/?#]*)(?::([^:@\/?#]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,OBe=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function LT(e){const t=e,n=e.indexOf("["),r=e.indexOf("]");n!=-1&&r!=-1&&(e=e.substring(0,n)+e.substring(n,r).replace(/:/g,";")+e.substring(r,e.length));let i=RBe.exec(e||""),o={},a=14;for(;a--;)o[OBe[a]]=i[a]||"";return n!=-1&&r!=-1&&(o.source=t,o.host=o.host.substring(1,o.host.length-1).replace(/;/g,":"),o.authority=o.authority.replace("[","").replace("]","").replace(/;/g,":"),o.ipv6uri=!0),o.pathNames=MBe(o,o.path),o.queryKey=NBe(o,o.query),o}function MBe(e,t){const n=/\/{2,9}/g,r=t.replace(n,"/").split("/");return(t.slice(0,1)=="/"||t.length===0)&&r.splice(0,1),t.slice(-1)=="/"&&r.splice(r.length-1,1),r}function NBe(e,t){const n={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(r,i,o){i&&(n[i]=o)}),n}let mK=class kf extends Fr{constructor(t,n={}){super(),this.binaryType=kBe,this.writeBuffer=[],t&&typeof t=="object"&&(n=t,t=null),t?(t=LT(t),n.hostname=t.host,n.secure=t.protocol==="https"||t.protocol==="wss",n.port=t.port,t.query&&(n.query=t.query)):n.host&&(n.hostname=LT(n.host).host),mw(this,n),this.secure=n.secure!=null?n.secure:typeof location<"u"&&location.protocol==="https:",n.hostname&&!n.port&&(n.port=this.secure?"443":"80"),this.hostname=n.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=n.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=n.transports||["polling","websocket","webtransport"],this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,addTrailingSlash:!0,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!1},n),this.opts.path=this.opts.path.replace(/\/$/,"")+(this.opts.addTrailingSlash?"/":""),typeof this.opts.query=="string"&&(this.opts.query=_Be(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&(this.beforeunloadEventListener=()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},addEventListener("beforeunload",this.beforeunloadEventListener,!1)),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const n=Object.assign({},this.opts.query);n.EIO=cK,n.transport=t,this.id&&(n.sid=this.id);const r=Object.assign({},this.opts,{query:n,socket:this,hostname:this.hostname,secure:this.secure,port:this.port},this.opts.transportOptions[t]);return new IBe[t](r)}open(){let t;if(this.opts.rememberUpgrade&&kf.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",n=>this.onClose("transport close",n))}probe(t){let n=this.createTransport(t),r=!1;kf.priorWebsocketSuccess=!1;const i=()=>{r||(n.send([{type:"ping",data:"probe"}]),n.once("packet",d=>{if(!r)if(d.type==="pong"&&d.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",n),!n)return;kf.priorWebsocketSuccess=n.name==="websocket",this.transport.pause(()=>{r||this.readyState!=="closed"&&(c(),this.setTransport(n),n.send([{type:"upgrade"}]),this.emitReserved("upgrade",n),n=null,this.upgrading=!1,this.flush())})}else{const f=new Error("probe error");f.transport=n.name,this.emitReserved("upgradeError",f)}}))};function o(){r||(r=!0,c(),n.close(),n=null)}const a=d=>{const f=new Error("probe error: "+d);f.transport=n.name,o(),this.emitReserved("upgradeError",f)};function s(){a("transport closed")}function l(){a("socket closed")}function u(d){n&&d.name!==n.name&&o()}const c=()=>{n.removeListener("open",i),n.removeListener("error",a),n.removeListener("close",s),this.off("close",l),this.off("upgrading",u)};n.once("open",i),n.once("error",a),n.once("close",s),this.once("close",l),this.once("upgrading",u),this.upgrades.indexOf("webtransport")!==-1&&t!=="webtransport"?this.setTimeoutFn(()=>{r||n.open()},200):n.open()}onOpen(){if(this.readyState="open",kf.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade){let t=0;const n=this.upgrades.length;for(;t<n;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),this.resetPingTimeout(),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const n=new Error("server error");n.code=t.data,this.onError(n);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let n=1;for(let r=0;r<this.writeBuffer.length;r++){const i=this.writeBuffer[r].data;if(i&&(n+=yBe(i)),r>0&&n>this.maxPayload)return this.writeBuffer.slice(0,r);n+=2}return this.writeBuffer}write(t,n,r){return this.sendPacket("message",t,n,r),this}send(t,n,r){return this.sendPacket("message",t,n,r),this}sendPacket(t,n,r,i){if(typeof n=="function"&&(i=n,n=void 0),typeof r=="function"&&(i=r,r=null),this.readyState==="closing"||this.readyState==="closed")return;r=r||{},r.compress=r.compress!==!1;const o={type:t,data:n,options:r};this.emitReserved("packetCreate",o),this.writeBuffer.push(o),i&&this.once("flush",i),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},n=()=>{this.off("upgrade",n),this.off("upgradeError",n),t()},r=()=>{this.once("upgrade",n),this.once("upgradeError",n)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?r():t()}):this.upgrading?r():t()),this}onError(t){kf.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,n){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&(removeEventListener("beforeunload",this.beforeunloadEventListener,!1),removeEventListener("offline",this.offlineEventListener,!1)),this.readyState="closed",this.id=null,this.emitReserved("close",t,n),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const n=[];let r=0;const i=t.length;for(;r<i;r++)~this.transports.indexOf(t[r])&&n.push(t[r]);return n}};mK.protocol=cK;function $Be(e,t="",n){let r=e;n=n||typeof location<"u"&&location,e==null&&(e=n.protocol+"//"+n.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=n.protocol+e:e=n.host+e),/^(https?|wss?):\/\//.test(e)||(typeof n<"u"?e=n.protocol+"//"+e:e="https://"+e),r=LT(e)),r.port||(/^(http|ws)$/.test(r.protocol)?r.port="80":/^(http|ws)s$/.test(r.protocol)&&(r.port="443")),r.path=r.path||"/";const o=r.host.indexOf(":")!==-1?"["+r.host+"]":r.host;return r.id=r.protocol+"://"+o+":"+r.port+t,r.href=r.protocol+"://"+o+(n&&n.port===r.port?"":":"+r.port),r}const DBe=typeof ArrayBuffer=="function",LBe=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,yK=Object.prototype.toString,FBe=typeof Blob=="function"||typeof Blob<"u"&&yK.call(Blob)==="[object BlobConstructor]",BBe=typeof File=="function"||typeof File<"u"&&yK.call(File)==="[object FileConstructor]";function OP(e){return DBe&&(e instanceof ArrayBuffer||LBe(e))||FBe&&e instanceof Blob||BBe&&e instanceof File}function ub(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let n=0,r=e.length;n<r;n++)if(ub(e[n]))return!0;return!1}if(OP(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return ub(e.toJSON(),!0);for(const n in e)if(Object.prototype.hasOwnProperty.call(e,n)&&ub(e[n]))return!0;return!1}function zBe(e){const t=[],n=e.data,r=e;return r.data=FT(n,t),r.attachments=t.length,{packet:r,buffers:t}}function FT(e,t){if(!e)return e;if(OP(e)){const n={_placeholder:!0,num:t.length};return t.push(e),n}else if(Array.isArray(e)){const n=new Array(e.length);for(let r=0;r<e.length;r++)n[r]=FT(e[r],t);return n}else if(typeof e=="object"&&!(e instanceof Date)){const n={};for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(n[r]=FT(e[r],t));return n}return e}function jBe(e,t){return e.data=BT(e.data,t),delete e.attachments,e}function BT(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let n=0;n<e.length;n++)e[n]=BT(e[n],t);else if(typeof e=="object")for(const n in e)Object.prototype.hasOwnProperty.call(e,n)&&(e[n]=BT(e[n],t));return e}const UBe=["connect","connect_error","disconnect","disconnecting","newListener","removeListener"],VBe=5;var Bt;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Bt||(Bt={}));class GBe{constructor(t){this.replacer=t}encode(t){return(t.type===Bt.EVENT||t.type===Bt.ACK)&&ub(t)?this.encodeAsBinary({type:t.type===Bt.EVENT?Bt.BINARY_EVENT:Bt.BINARY_ACK,nsp:t.nsp,data:t.data,id:t.id}):[this.encodeAsString(t)]}encodeAsString(t){let n=""+t.type;return(t.type===Bt.BINARY_EVENT||t.type===Bt.BINARY_ACK)&&(n+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(n+=t.nsp+","),t.id!=null&&(n+=t.id),t.data!=null&&(n+=JSON.stringify(t.data,this.replacer)),n}encodeAsBinary(t){const n=zBe(t),r=this.encodeAsString(n.packet),i=n.buffers;return i.unshift(r),i}}function vN(e){return Object.prototype.toString.call(e)==="[object Object]"}class MP extends Fr{constructor(t){super(),this.reviver=t}add(t){let n;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");n=this.decodeString(t);const r=n.type===Bt.BINARY_EVENT;r||n.type===Bt.BINARY_ACK?(n.type=r?Bt.EVENT:Bt.ACK,this.reconstructor=new qBe(n),n.attachments===0&&super.emitReserved("decoded",n)):super.emitReserved("decoded",n)}else if(OP(t)||t.base64)if(this.reconstructor)n=this.reconstructor.takeBinaryData(t),n&&(this.reconstructor=null,super.emitReserved("decoded",n));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let n=0;const r={type:Number(t.charAt(0))};if(Bt[r.type]===void 0)throw new Error("unknown packet type "+r.type);if(r.type===Bt.BINARY_EVENT||r.type===Bt.BINARY_ACK){const o=n+1;for(;t.charAt(++n)!=="-"&&n!=t.length;);const a=t.substring(o,n);if(a!=Number(a)||t.charAt(n)!=="-")throw new Error("Illegal attachments");r.attachments=Number(a)}if(t.charAt(n+1)==="/"){const o=n+1;for(;++n&&!(t.charAt(n)===","||n===t.length););r.nsp=t.substring(o,n)}else r.nsp="/";const i=t.charAt(n+1);if(i!==""&&Number(i)==i){const o=n+1;for(;++n;){const a=t.charAt(n);if(a==null||Number(a)!=a){--n;break}if(n===t.length)break}r.id=Number(t.substring(o,n+1))}if(t.charAt(++n)){const o=this.tryParse(t.substr(n));if(MP.isPayloadValid(r.type,o))r.data=o;else throw new Error("invalid payload")}return r}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,n){switch(t){case Bt.CONNECT:return vN(n);case Bt.DISCONNECT:return n===void 0;case Bt.CONNECT_ERROR:return typeof n=="string"||vN(n);case Bt.EVENT:case Bt.BINARY_EVENT:return Array.isArray(n)&&(typeof n[0]=="number"||typeof n[0]=="string"&&UBe.indexOf(n[0])===-1);case Bt.ACK:case Bt.BINARY_ACK:return Array.isArray(n)}}destroy(){this.reconstructor&&(this.reconstructor.finishedReconstruction(),this.reconstructor=null)}}class qBe{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const n=jBe(this.reconPack,this.buffers);return this.finishedReconstruction(),n}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const HBe=Object.freeze(Object.defineProperty({__proto__:null,Decoder:MP,Encoder:GBe,get PacketType(){return Bt},protocol:VBe},Symbol.toStringTag,{value:"Module"}));function qa(e,t,n){return e.on(t,n),function(){e.off(t,n)}}const WBe=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class vK extends Fr{constructor(t,n,r){super(),this.connected=!1,this.recovered=!1,this.receiveBuffer=[],this.sendBuffer=[],this._queue=[],this._queueSeq=0,this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=n,r&&r.auth&&(this.auth=r.auth),this._opts=Object.assign({},r),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[qa(t,"open",this.onopen.bind(this)),qa(t,"packet",this.onpacket.bind(this)),qa(t,"error",this.onerror.bind(this)),qa(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...n){if(WBe.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');if(n.unshift(t),this._opts.retries&&!this.flags.fromQueue&&!this.flags.volatile)return this._addToQueue(n),this;const r={type:Bt.EVENT,data:n};if(r.options={},r.options.compress=this.flags.compress!==!1,typeof n[n.length-1]=="function"){const a=this.ids++,s=n.pop();this._registerAckCallback(a,s),r.id=a}const i=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!i||!this.connected)||(this.connected?(this.notifyOutgoingListeners(r),this.packet(r)):this.sendBuffer.push(r)),this.flags={},this}_registerAckCallback(t,n){var r;const i=(r=this.flags.timeout)!==null&&r!==void 0?r:this._opts.ackTimeout;if(i===void 0){this.acks[t]=n;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let a=0;a<this.sendBuffer.length;a++)this.sendBuffer[a].id===t&&this.sendBuffer.splice(a,1);n.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...a)=>{this.io.clearTimeoutFn(o),n.apply(this,[null,...a])}}emitWithAck(t,...n){const r=this.flags.timeout!==void 0||this._opts.ackTimeout!==void 0;return new Promise((i,o)=>{n.push((a,s)=>r?a?o(a):i(s):i(a)),this.emit(t,...n)})}_addToQueue(t){let n;typeof t[t.length-1]=="function"&&(n=t.pop());const r={id:this._queueSeq++,tryCount:0,pending:!1,args:t,flags:Object.assign({fromQueue:!0},this.flags)};t.push((i,...o)=>r!==this._queue[0]?void 0:(i!==null?r.tryCount>this._opts.retries&&(this._queue.shift(),n&&n(i)):(this._queue.shift(),n&&n(null,...o)),r.pending=!1,this._drainQueue())),this._queue.push(r),this._drainQueue()}_drainQueue(t=!1){if(!this.connected||this._queue.length===0)return;const n=this._queue[0];n.pending&&!t||(n.pending=!0,n.tryCount++,this.flags=n.flags,this.emit.apply(this,n.args))}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this._sendConnectPacket(t)}):this._sendConnectPacket(this.auth)}_sendConnectPacket(t){this.packet({type:Bt.CONNECT,data:this._pid?Object.assign({pid:this._pid,offset:this._lastOffset},t):t})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,n){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,n)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Bt.CONNECT:t.data&&t.data.sid?this.onconnect(t.data.sid,t.data.pid):this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Bt.EVENT:case Bt.BINARY_EVENT:this.onevent(t);break;case Bt.ACK:case Bt.BINARY_ACK:this.onack(t);break;case Bt.DISCONNECT:this.ondisconnect();break;case Bt.CONNECT_ERROR:this.destroy();const r=new Error(t.data.message);r.data=t.data.data,this.emitReserved("connect_error",r);break}}onevent(t){const n=t.data||[];t.id!=null&&n.push(this.ack(t.id)),this.connected?this.emitEvent(n):this.receiveBuffer.push(Object.freeze(n))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const n=this._anyListeners.slice();for(const r of n)r.apply(this,t)}super.emit.apply(this,t),this._pid&&t.length&&typeof t[t.length-1]=="string"&&(this._lastOffset=t[t.length-1])}ack(t){const n=this;let r=!1;return function(...i){r||(r=!0,n.packet({type:Bt.ACK,id:t,data:i}))}}onack(t){const n=this.acks[t.id];typeof n=="function"&&(n.apply(this,t.data),delete this.acks[t.id])}onconnect(t,n){this.id=t,this.recovered=n&&this._pid===n,this._pid=n,this.connected=!0,this.emitBuffered(),this.emitReserved("connect"),this._drainQueue(!0)}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Bt.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const n=this._anyListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const n=this._anyOutgoingListeners;for(let r=0;r<n.length;r++)if(t===n[r])return n.splice(r,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const n=this._anyOutgoingListeners.slice();for(const r of n)r.apply(this,t.data)}}}function Rp(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}Rp.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),n=Math.floor(t*this.jitter*e);e=Math.floor(t*10)&1?e+n:e-n}return Math.min(e,this.max)|0};Rp.prototype.reset=function(){this.attempts=0};Rp.prototype.setMin=function(e){this.ms=e};Rp.prototype.setMax=function(e){this.max=e};Rp.prototype.setJitter=function(e){this.jitter=e};class zT extends Fr{constructor(t,n){var r;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(n=t,t=void 0),n=n||{},n.path=n.path||"/socket.io",this.opts=n,mw(this,n),this.reconnection(n.reconnection!==!1),this.reconnectionAttempts(n.reconnectionAttempts||1/0),this.reconnectionDelay(n.reconnectionDelay||1e3),this.reconnectionDelayMax(n.reconnectionDelayMax||5e3),this.randomizationFactor((r=n.randomizationFactor)!==null&&r!==void 0?r:.5),this.backoff=new Rp({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(n.timeout==null?2e4:n.timeout),this._readyState="closed",this.uri=t;const i=n.parser||HBe;this.encoder=new i.Encoder,this.decoder=new i.Decoder,this._autoConnect=n.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var n;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(n=this.backoff)===null||n===void 0||n.setMin(t),this)}randomizationFactor(t){var n;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(n=this.backoff)===null||n===void 0||n.setJitter(t),this)}reconnectionDelayMax(t){var n;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(n=this.backoff)===null||n===void 0||n.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new mK(this.uri,this.opts);const n=this.engine,r=this;this._readyState="opening",this.skipReconnect=!1;const i=qa(n,"open",function(){r.onopen(),t&&t()}),o=s=>{this.cleanup(),this._readyState="closed",this.emitReserved("error",s),t?t(s):this.maybeReconnectOnOpen()},a=qa(n,"error",o);if(this._timeout!==!1){const s=this._timeout,l=this.setTimeoutFn(()=>{i(),o(new Error("timeout")),n.close()},s);this.opts.autoUnref&&l.unref(),this.subs.push(()=>{this.clearTimeoutFn(l)})}return this.subs.push(i),this.subs.push(a),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(qa(t,"ping",this.onping.bind(this)),qa(t,"data",this.ondata.bind(this)),qa(t,"error",this.onerror.bind(this)),qa(t,"close",this.onclose.bind(this)),qa(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch(n){this.onclose("parse error",n)}}ondecoded(t){RP(()=>{this.emitReserved("packet",t)},this.setTimeoutFn)}onerror(t){this.emitReserved("error",t)}socket(t,n){let r=this.nsps[t];return r?this._autoConnect&&!r.active&&r.connect():(r=new vK(this,t,n),this.nsps[t]=r),r}_destroy(t){const n=Object.keys(this.nsps);for(const r of n)if(this.nsps[r].active)return;this._close()}_packet(t){const n=this.encoder.encode(t);for(let r=0;r<n.length;r++)this.engine.write(n[r],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,n){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,n),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const n=this.backoff.duration();this._reconnecting=!0;const r=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(i=>{i?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",i)):t.onreconnect()}))},n);this.opts.autoUnref&&r.unref(),this.subs.push(()=>{this.clearTimeoutFn(r)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const fg={};function cb(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const n=$Be(e,t.path||"/socket.io"),r=n.source,i=n.id,o=n.path,a=fg[i]&&o in fg[i].nsps,s=t.forceNew||t["force new connection"]||t.multiplex===!1||a;let l;return s?l=new zT(r,t):(fg[i]||(fg[i]=new zT(r,t)),l=fg[i]),n.query&&!t.query&&(t.query=n.queryKey),l.socket(n.path,t)}Object.assign(cb,{Manager:zT,Socket:vK,io:cb,connect:cb});const bN=()=>{let e=!1,n=`${window.location.protocol==="https:"?"wss":"ws"}://${window.location.host}`;const r={timeout:6e4,path:"/ws/socket.io",autoConnect:!1};if(["nodes","package"].includes("production")){const a=s0.get();a&&(n=a.replace(/^https?\:\/\//i,""));const s=Jh.get();s&&(r.auth={token:s}),r.transports=["websocket","polling"]}const i=cb(n,r);return a=>s=>l=>{e||(iBe({storeApi:a,socket:i}),e=!0,i.connect()),s(l)}},KBe=""+new URL("logo-13003d72.png",import.meta.url).href,QBe=()=>W.jsxs(kP,{position:"relative",width:"100vw",height:"100vh",alignItems:"center",justifyContent:"center",bg:"#151519",children:[W.jsx(TP,{src:KBe,w:"8rem",h:"8rem"}),W.jsx(wP,{label:"Loading",color:"grey",position:"absolute",size:"sm",width:"24px !important",height:"24px !important",right:"1.5rem",bottom:"1.5rem"})]}),XBe=I.memo(QBe);function jT(e){"@babel/helpers - typeof";return jT=typeof Symbol=="function"&&typeof Symbol.iterator=="symbol"?function(t){return typeof t}:function(t){return t&&typeof Symbol=="function"&&t.constructor===Symbol&&t!==Symbol.prototype?"symbol":typeof t},jT(e)}var 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Draggable item "+t.id+" was dropped."}};function Eze(e){let{announcements:t=Cze,container:n,hiddenTextDescribedById:r,screenReaderInstructions:i=wze}=e;const{announce:o,announcement:a}=_ze(),s=bw("DndLiveRegion"),[l,u]=I.useState(!1);if(I.useEffect(()=>{u(!0)},[]),Sze(I.useMemo(()=>({onDragStart(d){let{active:f}=d;o(t.onDragStart({active:f}))},onDragMove(d){let{active:f,over:h}=d;t.onDragMove&&o(t.onDragMove({active:f,over:h}))},onDragOver(d){let{active:f,over:h}=d;o(t.onDragOver({active:f,over:h}))},onDragEnd(d){let{active:f,over:h}=d;o(t.onDragEnd({active:f,over:h}))},onDragCancel(d){let{active:f,over:h}=d;o(t.onDragCancel({active:f,over:h}))}}),[o,t])),!l)return null;const c=Tn.createElement(Tn.Fragment,null,Tn.createElement(yze,{id:r,value:i.draggable}),Tn.createElement(bze,{id:s,announcement:a}));return n?Vo.createPortal(c,n):c}var Hr;(function(e){e.DragStart="dragStart",e.DragMove="dragMove",e.DragEnd="dragEnd",e.DragCancel="dragCancel",e.DragOver="dragOver",e.RegisterDroppable="registerDroppable",e.SetDroppableDisabled="setDroppableDisabled",e.UnregisterDroppable="unregisterDroppable"})(Hr||(Hr={}));function dS(){}function TN(e,t){return I.useMemo(()=>({sensor:e,options:t??{}}),[e,t])}function Tze(){for(var e=arguments.length,t=new Array(e),n=0;n<e;n++)t[n]=arguments[n];return I.useMemo(()=>[...t].filter(r=>r!=null),[...t])}const cs=Object.freeze({x:0,y:0});function kze(e,t){return Math.sqrt(Math.pow(e.x-t.x,2)+Math.pow(e.y-t.y,2))}function Aze(e,t){const n=L0(e);if(!n)return"0 0";const r={x:(n.x-t.left)/t.width*100,y:(n.y-t.top)/t.height*100};return r.x+"% "+r.y+"%"}function Pze(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return n-r}function Ize(e,t){let{data:{value:n}}=e,{data:{value:r}}=t;return r-n}function 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u=Rze(s).reduce((d,f)=>d+kze(r,f),0),c=Number((u/4).toFixed(4));i.push({id:a,data:{droppableContainer:o,value:c}})}}return i.sort(Pze)};function Lze(e,t,n){return{...e,scaleX:t&&n?t.width/n.width:1,scaleY:t&&n?t.height/n.height:1}}function kK(e,t){return e&&t?{x:e.left-t.left,y:e.top-t.top}:cs}function Fze(e){return function(n){for(var r=arguments.length,i=new Array(r>1?r-1:0),o=1;o<r;o++)i[o-1]=arguments[o];return i.reduce((a,s)=>({...a,top:a.top+e*s.y,bottom:a.bottom+e*s.y,left:a.left+e*s.x,right:a.right+e*s.x}),{...n})}}const Bze=Fze(1);function AK(e){if(e.startsWith("matrix3d(")){const t=e.slice(9,-1).split(/, /);return{x:+t[12],y:+t[13],scaleX:+t[0],scaleY:+t[5]}}else if(e.startsWith("matrix(")){const t=e.slice(7,-1).split(/, /);return{x:+t[4],y:+t[5],scaleX:+t[0],scaleY:+t[3]}}return null}function zze(e,t,n){const r=AK(t);if(!r)return e;const{scaleX:i,scaleY:o,x:a,y:s}=r,l=e.left-a-(1-i)*parseFloat(n),u=e.top-s-(1-o)*parseFloat(n.slice(n.indexOf(" ")+1)),c=i?e.width/i:e.width,d=o?e.height/o:e.height;return{width:c,height:d,top:u,right:l+c,bottom:u+d,left:l}}const jze={ignoreTransform:!1};function Uy(e,t){t===void 0&&(t=jze);let n=e.getBoundingClientRect();if(t.ignoreTransform){const{transform:u,transformOrigin:c}=fo(e).getComputedStyle(e);u&&(n=zze(n,u,c))}const{top:r,left:i,width:o,height:a,bottom:s,right:l}=n;return{top:r,left:i,width:o,height:a,bottom:s,right:l}}function kN(e){return Uy(e,{ignoreTransform:!0})}function Uze(e){const t=e.innerWidth,n=e.innerHeight;return{top:0,left:0,right:t,bottom:n,width:t,height:n}}function Vze(e,t){return t===void 0&&(t=fo(e).getComputedStyle(e)),t.position==="fixed"}function Gze(e,t){t===void 0&&(t=fo(e).getComputedStyle(e));const n=/(auto|scroll|overlay)/;return["overflow","overflowX","overflowY"].some(i=>{const o=t[i];return typeof o=="string"?n.test(o):!1})}function LP(e,t){const n=[];function r(i){if(t!=null&&n.length>=t||!i)return n;if($P(i)&&i.scrollingElement!=null&&!n.includes(i.scrollingElement))return n.push(i.scrollingElement),n;if(!zy(i)||dze(i)||n.includes(i))return n;const o=fo(e).getComputedStyle(i);return i!==e&&Gze(i,o)&&n.push(i),Vze(i,o)?n:r(i.parentNode)}return e?r(e):n}function PK(e){const[t]=LP(e,1);return t??null}function j5(e){return!yw||!e?null:Op(e)?e:NP(e)?$P(e)||e===Mp(e).scrollingElement?window:zy(e)?e:null:null}function IK(e){return Op(e)?e.scrollX:e.scrollLeft}function RK(e){return Op(e)?e.scrollY:e.scrollTop}function qT(e){return{x:IK(e),y:RK(e)}}var ci;(function(e){e[e.Forward=1]="Forward",e[e.Backward=-1]="Backward"})(ci||(ci={}));function OK(e){return!yw||!e?!1:e===document.scrollingElement}function MK(e){const t={x:0,y:0},n=OK(e)?{height:window.innerHeight,width:window.innerWidth}:{height:e.clientHeight,width:e.clientWidth},r={x:e.scrollWidth-n.width,y:e.scrollHeight-n.height},i=e.scrollTop<=t.y,o=e.scrollLeft<=t.x,a=e.scrollTop>=r.y,s=e.scrollLeft>=r.x;return{isTop:i,isLeft:o,isBottom:a,isRight:s,maxScroll:r,minScroll:t}}const qze={x:.2,y:.2};function Hze(e,t,n,r,i){let{top:o,left:a,right:s,bottom:l}=n;r===void 0&&(r=10),i===void 0&&(i=qze);const{isTop:u,isBottom:c,isLeft:d,isRight:f}=MK(e),h={x:0,y:0},p={x:0,y:0},m={height:t.height*i.y,width:t.width*i.x};return!u&&o<=t.top+m.height?(h.y=ci.Backward,p.y=r*Math.abs((t.top+m.height-o)/m.height)):!c&&l>=t.bottom-m.height&&(h.y=ci.Forward,p.y=r*Math.abs((t.bottom-m.height-l)/m.height)),!f&&s>=t.right-m.width?(h.x=ci.Forward,p.x=r*Math.abs((t.right-m.width-s)/m.width)):!d&&a<=t.left+m.width&&(h.x=ci.Backward,p.x=r*Math.abs((t.left+m.width-a)/m.width)),{direction:h,speed:p}}function Wze(e){if(e===document.scrollingElement){const{innerWidth:o,innerHeight:a}=window;return{top:0,left:0,right:o,bottom:a,width:o,height:a}}const{top:t,left:n,right:r,bottom:i}=e.getBoundingClientRect();return{top:t,left:n,right:r,bottom:i,width:e.clientWidth,height:e.clientHeight}}function NK(e){return e.reduce((t,n)=>kh(t,qT(n)),cs)}function Kze(e){return e.reduce((t,n)=>t+IK(n),0)}function Qze(e){return e.reduce((t,n)=>t+RK(n),0)}function $K(e,t){if(t===void 0&&(t=Uy),!e)return;const{top:n,left:r,bottom:i,right:o}=t(e);PK(e)&&(i<=0||o<=0||n>=window.innerHeight||r>=window.innerWidth)&&e.scrollIntoView({block:"center",inline:"center"})}const Xze=[["x",["left","right"],Kze],["y",["top","bottom"],Qze]];class FP{constructor(t,n){this.rect=void 0,this.width=void 0,this.height=void 0,this.top=void 0,this.bottom=void 0,this.right=void 0,this.left=void 0;const r=LP(n),i=NK(r);this.rect={...t},this.width=t.width,this.height=t.height;for(const[o,a,s]of Xze)for(const l of a)Object.defineProperty(this,l,{get:()=>{const u=s(r),c=i[o]-u;return this.rect[l]+c},enumerable:!0});Object.defineProperty(this,"rect",{enumerable:!1})}}class am{constructor(t){this.target=void 0,this.listeners=[],this.removeAll=()=>{this.listeners.forEach(n=>{var r;return(r=this.target)==null?void 0:r.removeEventListener(...n)})},this.target=t}add(t,n,r){var i;(i=this.target)==null||i.addEventListener(t,n,r),this.listeners.push([t,n,r])}}function Yze(e){const{EventTarget:t}=fo(e);return e instanceof t?e:Mp(e)}function U5(e,t){const n=Math.abs(e.x),r=Math.abs(e.y);return typeof t=="number"?Math.sqrt(n**2+r**2)>t:"x"in t&&"y"in t?n>t.x&&r>t.y:"x"in t?n>t.x:"y"in t?r>t.y:!1}var pa;(function(e){e.Click="click",e.DragStart="dragstart",e.Keydown="keydown",e.ContextMenu="contextmenu",e.Resize="resize",e.SelectionChange="selectionchange",e.VisibilityChange="visibilitychange"})(pa||(pa={}));function AN(e){e.preventDefault()}function Zze(e){e.stopPropagation()}var 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am(fo(n)),this.handleKeyDown=this.handleKeyDown.bind(this),this.handleCancel=this.handleCancel.bind(this),this.attach()}attach(){this.handleStart(),this.windowListeners.add(pa.Resize,this.handleCancel),this.windowListeners.add(pa.VisibilityChange,this.handleCancel),setTimeout(()=>this.listeners.add(pa.Keydown,this.handleKeyDown))}handleStart(){const{activeNode:t,onStart:n}=this.props,r=t.node.current;r&&$K(r),n(cs)}handleKeyDown(t){if(DP(t)){const{active:n,context:r,options:i}=this.props,{keyboardCodes:o=DK,coordinateGetter:a=Jze,scrollBehavior:s="smooth"}=i,{code:l}=t;if(o.end.includes(l)){this.handleEnd(t);return}if(o.cancel.includes(l)){this.handleCancel(t);return}const{collisionRect:u}=r.current,c=u?{x:u.left,y:u.top}:cs;this.referenceCoordinates||(this.referenceCoordinates=c);const d=a(t,{active:n,context:r.current,currentCoordinates:c});if(d){const f=cS(d,c),h={x:0,y:0},{scrollableAncestors:p}=r.current;for(const m of p){const _=t.code,{isTop:b,isRight:y,isLeft:g,isBottom:v,maxScroll:S,minScroll:w}=MK(m),x=Wze(m),C={x:Math.min(_===Mn.Right?x.right-x.width/2:x.right,Math.max(_===Mn.Right?x.left:x.left+x.width/2,d.x)),y:Math.min(_===Mn.Down?x.bottom-x.height/2:x.bottom,Math.max(_===Mn.Down?x.top:x.top+x.height/2,d.y))},k=_===Mn.Right&&!y||_===Mn.Left&&!g,T=_===Mn.Down&&!v||_===Mn.Up&&!b;if(k&&C.x!==d.x){const P=m.scrollLeft+f.x,$=_===Mn.Right&&P<=S.x||_===Mn.Left&&P>=w.x;if($&&!f.y){m.scrollTo({left:P,behavior:s});return}$?h.x=m.scrollLeft-P:h.x=_===Mn.Right?m.scrollLeft-S.x:m.scrollLeft-w.x,h.x&&m.scrollBy({left:-h.x,behavior:s});break}else if(T&&C.y!==d.y){const P=m.scrollTop+f.y,$=_===Mn.Down&&P<=S.y||_===Mn.Up&&P>=w.y;if($&&!f.x){m.scrollTo({top:P,behavior:s});return}$?h.y=m.scrollTop-P:h.y=_===Mn.Down?m.scrollTop-S.y:m.scrollTop-w.y,h.y&&m.scrollBy({top:-h.y,behavior:s});break}}this.handleMove(t,kh(cS(d,this.referenceCoordinates),h))}}}handleMove(t,n){const{onMove:r}=this.props;t.preventDefault(),r(n)}handleEnd(t){const{onEnd:n}=this.props;t.preventDefault(),this.detach(),n()}handleCancel(t){const{onCancel:n}=this.props;t.preventDefault(),this.detach(),n()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll()}}LK.activators=[{eventName:"onKeyDown",handler:(e,t,n)=>{let{keyboardCodes:r=DK,onActivation:i}=t,{active:o}=n;const{code:a}=e.nativeEvent;if(r.start.includes(a)){const s=o.activatorNode.current;return s&&e.target!==s?!1:(e.preventDefault(),i==null||i({event:e.nativeEvent}),!0)}return!1}}];function PN(e){return!!(e&&"distance"in e)}function IN(e){return!!(e&&"delay"in e)}class BP{constructor(t,n,r){var i;r===void 0&&(r=Yze(t.event.target)),this.props=void 0,this.events=void 0,this.autoScrollEnabled=!0,this.document=void 0,this.activated=!1,this.initialCoordinates=void 0,this.timeoutId=null,this.listeners=void 0,this.documentListeners=void 0,this.windowListeners=void 0,this.props=t,this.events=n;const{event:o}=t,{target:a}=o;this.props=t,this.events=n,this.document=Mp(a),this.documentListeners=new am(this.document),this.listeners=new am(r),this.windowListeners=new am(fo(a)),this.initialCoordinates=(i=L0(o))!=null?i:cs,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:t,props:{options:{activationConstraint:n}}}=this;if(this.listeners.add(t.move.name,this.handleMove,{passive:!1}),this.listeners.add(t.end.name,this.handleEnd),this.windowListeners.add(pa.Resize,this.handleCancel),this.windowListeners.add(pa.DragStart,AN),this.windowListeners.add(pa.VisibilityChange,this.handleCancel),this.windowListeners.add(pa.ContextMenu,AN),this.documentListeners.add(pa.Keydown,this.handleKeydown),n){if(PN(n))return;if(IN(n)){this.timeoutId=setTimeout(this.handleStart,n.delay);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handleStart(){const{initialCoordinates:t}=this,{onStart:n}=this.props;t&&(this.activated=!0,this.documentListeners.add(pa.Click,Zze,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(pa.SelectionChange,this.removeTextSelection),n(t))}handleMove(t){var n;const{activated:r,initialCoordinates:i,props:o}=this,{onMove:a,options:{activationConstraint:s}}=o;if(!i)return;const l=(n=L0(t))!=null?n:cs,u=cS(i,l);if(!r&&s){if(IN(s))return U5(u,s.tolerance)?this.handleCancel():void 0;if(PN(s))return s.tolerance!=null&&U5(u,s.tolerance)?this.handleCancel():U5(u,s.distance)?this.handleStart():void 0}t.cancelable&&t.preventDefault(),a(l)}handleEnd(){const{onEnd:t}=this.props;this.detach(),t()}handleCancel(){const{onCancel:t}=this.props;this.detach(),t()}handleKeydown(t){t.code===Mn.Esc&&this.handleCancel()}removeTextSelection(){var t;(t=this.document.getSelection())==null||t.removeAllRanges()}}const eje={move:{name:"pointermove"},end:{name:"pointerup"}};class FK extends BP{constructor(t){const{event:n}=t,r=Mp(n.target);super(t,eje,r)}}FK.activators=[{eventName:"onPointerDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return!n.isPrimary||n.button!==0?!1:(r==null||r({event:n}),!0)}}];const tje={move:{name:"mousemove"},end:{name:"mouseup"}};var HT;(function(e){e[e.RightClick=2]="RightClick"})(HT||(HT={}));class BK extends BP{constructor(t){super(t,tje,Mp(t.event.target))}}BK.activators=[{eventName:"onMouseDown",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;return n.button===HT.RightClick?!1:(r==null||r({event:n}),!0)}}];const V5={move:{name:"touchmove"},end:{name:"touchend"}};class zK extends BP{constructor(t){super(t,V5)}static setup(){return window.addEventListener(V5.move.name,t,{capture:!1,passive:!1}),function(){window.removeEventListener(V5.move.name,t)};function t(){}}}zK.activators=[{eventName:"onTouchStart",handler:(e,t)=>{let{nativeEvent:n}=e,{onActivation:r}=t;const{touches:i}=n;return i.length>1?!1:(r==null||r({event:n}),!0)}}];var sm;(function(e){e[e.Pointer=0]="Pointer",e[e.DraggableRect=1]="DraggableRect"})(sm||(sm={}));var fS;(function(e){e[e.TreeOrder=0]="TreeOrder",e[e.ReversedTreeOrder=1]="ReversedTreeOrder"})(fS||(fS={}));function nje(e){let{acceleration:t,activator:n=sm.Pointer,canScroll:r,draggingRect:i,enabled:o,interval:a=5,order:s=fS.TreeOrder,pointerCoordinates:l,scrollableAncestors:u,scrollableAncestorRects:c,delta:d,threshold:f}=e;const h=ije({delta:d,disabled:!o}),[p,m]=fze(),_=I.useRef({x:0,y:0}),b=I.useRef({x:0,y:0}),y=I.useMemo(()=>{switch(n){case sm.Pointer:return l?{top:l.y,bottom:l.y,left:l.x,right:l.x}:null;case sm.DraggableRect:return i}},[n,i,l]),g=I.useRef(null),v=I.useCallback(()=>{const w=g.current;if(!w)return;const x=_.current.x*b.current.x,C=_.current.y*b.current.y;w.scrollBy(x,C)},[]),S=I.useMemo(()=>s===fS.TreeOrder?[...u].reverse():u,[s,u]);I.useEffect(()=>{if(!o||!u.length||!y){m();return}for(const w of S){if((r==null?void 0:r(w))===!1)continue;const x=u.indexOf(w),C=c[x];if(!C)continue;const{direction:k,speed:T}=Hze(w,C,y,t,f);for(const P of["x","y"])h[P][k[P]]||(T[P]=0,k[P]=0);if(T.x>0||T.y>0){m(),g.current=w,p(v,a),_.current=T,b.current=k;return}}_.current={x:0,y:0},b.current={x:0,y:0},m()},[t,v,r,m,o,a,JSON.stringify(y),JSON.stringify(h),p,u,S,c,JSON.stringify(f)])}const rje={x:{[ci.Backward]:!1,[ci.Forward]:!1},y:{[ci.Backward]:!1,[ci.Forward]:!1}};function ije(e){let{delta:t,disabled:n}=e;const r=uS(t);return jy(i=>{if(n||!r||!i)return rje;const o={x:Math.sign(t.x-r.x),y:Math.sign(t.y-r.y)};return{x:{[ci.Backward]:i.x[ci.Backward]||o.x===-1,[ci.Forward]:i.x[ci.Forward]||o.x===1},y:{[ci.Backward]:i.y[ci.Backward]||o.y===-1,[ci.Forward]:i.y[ci.Forward]||o.y===1}}},[n,t,r])}function oje(e,t){const n=t!==null?e.get(t):void 0,r=n?n.node.current:null;return jy(i=>{var o;return t===null?null:(o=r??i)!=null?o:null},[r,t])}function aje(e,t){return I.useMemo(()=>e.reduce((n,r)=>{const{sensor:i}=r,o=i.activators.map(a=>({eventName:a.eventName,handler:t(a.handler,r)}));return[...n,...o]},[]),[e,t])}var B0;(function(e){e[e.Always=0]="Always",e[e.BeforeDragging=1]="BeforeDragging",e[e.WhileDragging=2]="WhileDragging"})(B0||(B0={}));var WT;(function(e){e.Optimized="optimized"})(WT||(WT={}));const RN=new Map;function sje(e,t){let{dragging:n,dependencies:r,config:i}=t;const[o,a]=I.useState(null),{frequency:s,measure:l,strategy:u}=i,c=I.useRef(e),d=_(),f=D0(d),h=I.useCallback(function(b){b===void 0&&(b=[]),!f.current&&a(y=>y===null?b:y.concat(b.filter(g=>!y.includes(g))))},[f]),p=I.useRef(null),m=jy(b=>{if(d&&!n)return RN;if(!b||b===RN||c.current!==e||o!=null){const y=new Map;for(let g of e){if(!g)continue;if(o&&o.length>0&&!o.includes(g.id)&&g.rect.current){y.set(g.id,g.rect.current);continue}const v=g.node.current,S=v?new FP(l(v),v):null;g.rect.current=S,S&&y.set(g.id,S)}return y}return b},[e,o,n,d,l]);return I.useEffect(()=>{c.current=e},[e]),I.useEffect(()=>{d||h()},[n,d]),I.useEffect(()=>{o&&o.length>0&&a(null)},[JSON.stringify(o)]),I.useEffect(()=>{d||typeof s!="number"||p.current!==null||(p.current=setTimeout(()=>{h(),p.current=null},s))},[s,d,h,...r]),{droppableRects:m,measureDroppableContainers:h,measuringScheduled:o!=null};function _(){switch(u){case B0.Always:return!1;case B0.BeforeDragging:return n;default:return!n}}}function zP(e,t){return jy(n=>e?n||(typeof t=="function"?t(e):e):null,[t,e])}function lje(e,t){return zP(e,t)}function uje(e){let{callback:t,disabled:n}=e;const r=vw(t),i=I.useMemo(()=>{if(n||typeof window>"u"||typeof window.MutationObserver>"u")return;const{MutationObserver:o}=window;return new o(r)},[r,n]);return I.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function _w(e){let{callback:t,disabled:n}=e;const r=vw(t),i=I.useMemo(()=>{if(n||typeof window>"u"||typeof window.ResizeObserver>"u")return;const{ResizeObserver:o}=window;return new o(r)},[n]);return I.useEffect(()=>()=>i==null?void 0:i.disconnect(),[i]),i}function cje(e){return new FP(Uy(e),e)}function ON(e,t,n){t===void 0&&(t=cje);const[r,i]=I.useReducer(s,null),o=uje({callback(l){if(e)for(const u of l){const{type:c,target:d}=u;if(c==="childList"&&d instanceof HTMLElement&&d.contains(e)){i();break}}}}),a=_w({callback:i});return el(()=>{i(),e?(a==null||a.observe(e),o==null||o.observe(document.body,{childList:!0,subtree:!0})):(a==null||a.disconnect(),o==null||o.disconnect())},[e]),r;function s(l){if(!e)return null;if(e.isConnected===!1){var u;return(u=l??n)!=null?u:null}const c=t(e);return JSON.stringify(l)===JSON.stringify(c)?l:c}}function dje(e){const t=zP(e);return kK(e,t)}const MN=[];function fje(e){const t=I.useRef(e),n=jy(r=>e?r&&r!==MN&&e&&t.current&&e.parentNode===t.current.parentNode?r:LP(e):MN,[e]);return I.useEffect(()=>{t.current=e},[e]),n}function hje(e){const[t,n]=I.useState(null),r=I.useRef(e),i=I.useCallback(o=>{const a=j5(o.target);a&&n(s=>s?(s.set(a,qT(a)),new Map(s)):null)},[]);return I.useEffect(()=>{const o=r.current;if(e!==o){a(o);const s=e.map(l=>{const u=j5(l);return u?(u.addEventListener("scroll",i,{passive:!0}),[u,qT(u)]):null}).filter(l=>l!=null);n(s.length?new Map(s):null),r.current=e}return()=>{a(e),a(o)};function a(s){s.forEach(l=>{const u=j5(l);u==null||u.removeEventListener("scroll",i)})}},[i,e]),I.useMemo(()=>e.length?t?Array.from(t.values()).reduce((o,a)=>kh(o,a),cs):NK(e):cs,[e,t])}function NN(e,t){t===void 0&&(t=[]);const n=I.useRef(null);return I.useEffect(()=>{n.current=null},t),I.useEffect(()=>{const r=e!==cs;r&&!n.current&&(n.current=e),!r&&n.current&&(n.current=null)},[e]),n.current?cS(e,n.current):cs}function pje(e){I.useEffect(()=>{if(!yw)return;const t=e.map(n=>{let{sensor:r}=n;return r.setup==null?void 0:r.setup()});return()=>{for(const n of t)n==null||n()}},e.map(t=>{let{sensor:n}=t;return n}))}function gje(e,t){return I.useMemo(()=>e.reduce((n,r)=>{let{eventName:i,handler:o}=r;return n[i]=a=>{o(a,t)},n},{}),[e,t])}function jK(e){return I.useMemo(()=>e?Uze(e):null,[e])}const G5=[];function mje(e,t){t===void 0&&(t=Uy);const[n]=e,r=jK(n?fo(n):null),[i,o]=I.useReducer(s,G5),a=_w({callback:o});return e.length>0&&i===G5&&o(),el(()=>{e.length?e.forEach(l=>a==null?void 0:a.observe(l)):(a==null||a.disconnect(),o())},[e]),i;function s(){return e.length?e.map(l=>OK(l)?r:new FP(t(l),l)):G5}}function UK(e){if(!e)return null;if(e.children.length>1)return e;const t=e.children[0];return zy(t)?t:e}function yje(e){let{measure:t}=e;const[n,r]=I.useState(null),i=I.useCallback(u=>{for(const{target:c}of u)if(zy(c)){r(d=>{const f=t(c);return d?{...d,width:f.width,height:f.height}:f});break}},[t]),o=_w({callback:i}),a=I.useCallback(u=>{const c=UK(u);o==null||o.disconnect(),c&&(o==null||o.observe(c)),r(c?t(c):null)},[t,o]),[s,l]=lS(a);return I.useMemo(()=>({nodeRef:s,rect:n,setRef:l}),[n,s,l])}const vje=[{sensor:FK,options:{}},{sensor:LK,options:{}}],bje={current:{}},db={draggable:{measure:kN},droppable:{measure:kN,strategy:B0.WhileDragging,frequency:WT.Optimized},dragOverlay:{measure:Uy}};class lm extends Map{get(t){var n;return t!=null&&(n=super.get(t))!=null?n:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(t=>{let{disabled:n}=t;return!n})}getNodeFor(t){var n,r;return(n=(r=this.get(t))==null?void 0:r.node.current)!=null?n:void 0}}const _je={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new lm,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:dS},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:db,measureDroppableContainers:dS,windowRect:null,measuringScheduled:!1},VK={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:dS,draggableNodes:new Map,over:null,measureDroppableContainers:dS},Vy=I.createContext(VK),GK=I.createContext(_je);function Sje(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new lm}}}function xje(e,t){switch(t.type){case Hr.DragStart:return{...e,draggable:{...e.draggable,initialCoordinates:t.initialCoordinates,active:t.active}};case Hr.DragMove:return e.draggable.active?{...e,draggable:{...e.draggable,translate:{x:t.coordinates.x-e.draggable.initialCoordinates.x,y:t.coordinates.y-e.draggable.initialCoordinates.y}}}:e;case Hr.DragEnd:case Hr.DragCancel:return{...e,draggable:{...e.draggable,active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}}};case Hr.RegisterDroppable:{const{element:n}=t,{id:r}=n,i=new lm(e.droppable.containers);return i.set(r,n),{...e,droppable:{...e.droppable,containers:i}}}case Hr.SetDroppableDisabled:{const{id:n,key:r,disabled:i}=t,o=e.droppable.containers.get(n);if(!o||r!==o.key)return e;const a=new lm(e.droppable.containers);return a.set(n,{...o,disabled:i}),{...e,droppable:{...e.droppable,containers:a}}}case Hr.UnregisterDroppable:{const{id:n,key:r}=t,i=e.droppable.containers.get(n);if(!i||r!==i.key)return e;const o=new lm(e.droppable.containers);return o.delete(n),{...e,droppable:{...e.droppable,containers:o}}}default:return e}}function wje(e){let{disabled:t}=e;const{active:n,activatorEvent:r,draggableNodes:i}=I.useContext(Vy),o=uS(r),a=uS(n==null?void 0:n.id);return I.useEffect(()=>{if(!t&&!r&&o&&a!=null){if(!DP(o)||document.activeElement===o.target)return;const s=i.get(a);if(!s)return;const{activatorNode:l,node:u}=s;if(!l.current&&!u.current)return;requestAnimationFrame(()=>{for(const c of[l.current,u.current]){if(!c)continue;const d=gze(c);if(d){d.focus();break}}})}},[r,t,i,a,o]),null}function qK(e,t){let{transform:n,...r}=t;return e!=null&&e.length?e.reduce((i,o)=>o({transform:i,...r}),n):n}function Cje(e){return I.useMemo(()=>({draggable:{...db.draggable,...e==null?void 0:e.draggable},droppable:{...db.droppable,...e==null?void 0:e.droppable},dragOverlay:{...db.dragOverlay,...e==null?void 0:e.dragOverlay}}),[e==null?void 0:e.draggable,e==null?void 0:e.droppable,e==null?void 0:e.dragOverlay])}function Eje(e){let{activeNode:t,measure:n,initialRect:r,config:i=!0}=e;const o=I.useRef(!1),{x:a,y:s}=typeof i=="boolean"?{x:i,y:i}:i;el(()=>{if(!a&&!s||!t){o.current=!1;return}if(o.current||!r)return;const u=t==null?void 0:t.node.current;if(!u||u.isConnected===!1)return;const c=n(u),d=kK(c,r);if(a||(d.x=0),s||(d.y=0),o.current=!0,Math.abs(d.x)>0||Math.abs(d.y)>0){const f=PK(u);f&&f.scrollBy({top:d.y,left:d.x})}},[t,a,s,r,n])}const Sw=I.createContext({...cs,scaleX:1,scaleY:1});var wu;(function(e){e[e.Uninitialized=0]="Uninitialized",e[e.Initializing=1]="Initializing",e[e.Initialized=2]="Initialized"})(wu||(wu={}));const Tje=I.memo(function(t){var n,r,i,o;let{id:a,accessibility:s,autoScroll:l=!0,children:u,sensors:c=vje,collisionDetection:d=Nze,measuring:f,modifiers:h,...p}=t;const m=I.useReducer(xje,void 0,Sje),[_,b]=m,[y,g]=xze(),[v,S]=I.useState(wu.Uninitialized),w=v===wu.Initialized,{draggable:{active:x,nodes:C,translate:k},droppable:{containers:T}}=_,P=x?C.get(x):null,$=I.useRef({initial:null,translated:null}),O=I.useMemo(()=>{var zn;return x!=null?{id:x,data:(zn=P==null?void 0:P.data)!=null?zn:bje,rect:$}:null},[x,P]),E=I.useRef(null),[A,D]=I.useState(null),[L,M]=I.useState(null),R=D0(p,Object.values(p)),N=bw("DndDescribedBy",a),B=I.useMemo(()=>T.getEnabled(),[T]),U=Cje(f),{droppableRects:G,measureDroppableContainers:Z,measuringScheduled:ee}=sje(B,{dragging:w,dependencies:[k.x,k.y],config:U.droppable}),J=oje(C,x),j=I.useMemo(()=>L?L0(L):null,[L]),Q=sl(),ne=lje(J,U.draggable.measure);Eje({activeNode:x?C.get(x):null,config:Q.layoutShiftCompensation,initialRect:ne,measure:U.draggable.measure});const se=ON(J,U.draggable.measure,ne),ye=ON(J?J.parentElement:null),ce=I.useRef({activatorEvent:null,active:null,activeNode:J,collisionRect:null,collisions:null,droppableRects:G,draggableNodes:C,draggingNode:null,draggingNodeRect:null,droppableContainers:T,over:null,scrollableAncestors:[],scrollAdjustedTranslate:null}),bt=T.getNodeFor((n=ce.current.over)==null?void 0:n.id),ot=yje({measure:U.dragOverlay.measure}),ze=(r=ot.nodeRef.current)!=null?r:J,mt=w?(i=ot.rect)!=null?i:se:null,Pe=!!(ot.nodeRef.current&&ot.rect),en=dje(Pe?null:se),Pr=jK(ze?fo(ze):null),Ln=fje(w?bt??J:null),An=mje(Ln),tn=qK(h,{transform:{x:k.x-en.x,y:k.y-en.y,scaleX:1,scaleY:1},activatorEvent:L,active:O,activeNodeRect:se,containerNodeRect:ye,draggingNodeRect:mt,over:ce.current.over,overlayNodeRect:ot.rect,scrollableAncestors:Ln,scrollableAncestorRects:An,windowRect:Pr}),Fn=j?kh(j,k):null,Ir=hje(Ln),ho=NN(Ir),ei=NN(Ir,[se]),pr=kh(tn,ho),Br=mt?Bze(mt,tn):null,ti=O&&Br?d({active:O,collisionRect:Br,droppableRects:G,droppableContainers:B,pointerCoordinates:Fn}):null,Bn=Oze(ti,"id"),[_n,Mi]=I.useState(null),gi=Pe?tn:kh(tn,ei),Qi=Lze(gi,(o=_n==null?void 0:_n.rect)!=null?o:null,se),Da=I.useCallback((zn,nn)=>{let{sensor:zr,options:Or}=nn;if(E.current==null)return;const Mr=C.get(E.current);if(!Mr)return;const ni=zn.nativeEvent,Ni=new zr({active:E.current,activeNode:Mr,event:ni,options:Or,context:ce,onStart(mi){const jr=E.current;if(jr==null)return;const La=C.get(jr);if(!La)return;const{onDragStart:gs}=R.current,yi={active:{id:jr,data:La.data,rect:$}};Vo.unstable_batchedUpdates(()=>{gs==null||gs(yi),S(wu.Initializing),b({type:Hr.DragStart,initialCoordinates:mi,active:jr}),y({type:"onDragStart",event:yi})})},onMove(mi){b({type:Hr.DragMove,coordinates:mi})},onEnd:go(Hr.DragEnd),onCancel:go(Hr.DragCancel)});Vo.unstable_batchedUpdates(()=>{D(Ni),M(zn.nativeEvent)});function go(mi){return async function(){const{active:La,collisions:gs,over:yi,scrollAdjustedTranslate:ou}=ce.current;let oa=null;if(La&&ou){const{cancelDrop:ri}=R.current;oa={activatorEvent:ni,active:La,collisions:gs,delta:ou,over:yi},mi===Hr.DragEnd&&typeof ri=="function"&&await Promise.resolve(ri(oa))&&(mi=Hr.DragCancel)}E.current=null,Vo.unstable_batchedUpdates(()=>{b({type:mi}),S(wu.Uninitialized),Mi(null),D(null),M(null);const ri=mi===Hr.DragEnd?"onDragEnd":"onDragCancel";if(oa){const ll=R.current[ri];ll==null||ll(oa),y({type:ri,event:oa})}})}}},[C]),Rr=I.useCallback((zn,nn)=>(zr,Or)=>{const Mr=zr.nativeEvent,ni=C.get(Or);if(E.current!==null||!ni||Mr.dndKit||Mr.defaultPrevented)return;const Ni={active:ni};zn(zr,nn.options,Ni)===!0&&(Mr.dndKit={capturedBy:nn.sensor},E.current=Or,Da(zr,nn))},[C,Da]),po=aje(c,Rr);pje(c),el(()=>{se&&v===wu.Initializing&&S(wu.Initialized)},[se,v]),I.useEffect(()=>{const{onDragMove:zn}=R.current,{active:nn,activatorEvent:zr,collisions:Or,over:Mr}=ce.current;if(!nn||!zr)return;const ni={active:nn,activatorEvent:zr,collisions:Or,delta:{x:pr.x,y:pr.y},over:Mr};Vo.unstable_batchedUpdates(()=>{zn==null||zn(ni),y({type:"onDragMove",event:ni})})},[pr.x,pr.y]),I.useEffect(()=>{const{active:zn,activatorEvent:nn,collisions:zr,droppableContainers:Or,scrollAdjustedTranslate:Mr}=ce.current;if(!zn||E.current==null||!nn||!Mr)return;const{onDragOver:ni}=R.current,Ni=Or.get(Bn),go=Ni&&Ni.rect.current?{id:Ni.id,rect:Ni.rect.current,data:Ni.data,disabled:Ni.disabled}:null,mi={active:zn,activatorEvent:nn,collisions:zr,delta:{x:Mr.x,y:Mr.y},over:go};Vo.unstable_batchedUpdates(()=>{Mi(go),ni==null||ni(mi),y({type:"onDragOver",event:mi})})},[Bn]),el(()=>{ce.current={activatorEvent:L,active:O,activeNode:J,collisionRect:Br,collisions:ti,droppableRects:G,draggableNodes:C,draggingNode:ze,draggingNodeRect:mt,droppableContainers:T,over:_n,scrollableAncestors:Ln,scrollAdjustedTranslate:pr},$.current={initial:mt,translated:Br}},[O,J,ti,Br,C,ze,mt,G,T,_n,Ln,pr]),nje({...Q,delta:k,draggingRect:Br,pointerCoordinates:Fn,scrollableAncestors:Ln,scrollableAncestorRects:An});const al=I.useMemo(()=>({active:O,activeNode:J,activeNodeRect:se,activatorEvent:L,collisions:ti,containerNodeRect:ye,dragOverlay:ot,draggableNodes:C,droppableContainers:T,droppableRects:G,over:_n,measureDroppableContainers:Z,scrollableAncestors:Ln,scrollableAncestorRects:An,measuringConfiguration:U,measuringScheduled:ee,windowRect:Pr}),[O,J,se,L,ti,ye,ot,C,T,G,_n,Z,Ln,An,U,ee,Pr]),Do=I.useMemo(()=>({activatorEvent:L,activators:po,active:O,activeNodeRect:se,ariaDescribedById:{draggable:N},dispatch:b,draggableNodes:C,over:_n,measureDroppableContainers:Z}),[L,po,O,se,b,N,C,_n,Z]);return Tn.createElement(TK.Provider,{value:g},Tn.createElement(Vy.Provider,{value:Do},Tn.createElement(GK.Provider,{value:al},Tn.createElement(Sw.Provider,{value:Qi},u)),Tn.createElement(wje,{disabled:(s==null?void 0:s.restoreFocus)===!1})),Tn.createElement(Eze,{...s,hiddenTextDescribedById:N}));function sl(){const zn=(A==null?void 0:A.autoScrollEnabled)===!1,nn=typeof 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diff --git a/invokeai/frontend/web/dist/index.html b/invokeai/frontend/web/dist/index.html
index 3a1e246f49..c70d7283b4 100644
--- a/invokeai/frontend/web/dist/index.html
+++ b/invokeai/frontend/web/dist/index.html
@@ -15,7 +15,7 @@
margin: 0;
}
</style>
- <script type="module" crossorigin src="./assets/index-a24a7159.js"></script>
+ <script type="module" crossorigin src="./assets/index-27e8922c.js"></script>
</head>
<body dir="ltr">
diff --git a/invokeai/frontend/web/dist/locales/ar.json b/invokeai/frontend/web/dist/locales/ar.json
index e5168da4a8..7354b21ea0 100644
--- a/invokeai/frontend/web/dist/locales/ar.json
+++ b/invokeai/frontend/web/dist/locales/ar.json
@@ -1,13 +1,9 @@
{
"common": {
"hotkeysLabel": "مفاتيح الأختصار",
- "themeLabel": "الموضوع",
"languagePickerLabel": "منتقي اللغة",
"reportBugLabel": "بلغ عن خطأ",
"settingsLabel": "إعدادات",
- "darkTheme": "داكن",
- "lightTheme": "فاتح",
- "greenTheme": "أخضر",
"img2img": "صورة إلى صورة",
"unifiedCanvas": "لوحة موحدة",
"nodes": "عقد",
@@ -57,7 +53,6 @@
"maintainAspectRatio": "الحفاظ على نسبة الأبعاد",
"autoSwitchNewImages": "التبديل التلقائي إلى الصور الجديدة",
"singleColumnLayout": "تخطيط عمود واحد",
- "pinGallery": "تثبيت المعرض",
"allImagesLoaded": "تم تحميل جميع الصور",
"loadMore": "تحميل المزيد",
"noImagesInGallery": "لا توجد صور في المعرض"
@@ -342,7 +337,6 @@
"cfgScale": "مقياس الإعداد الذاتي للجملة",
"width": "عرض",
"height": "ارتفاع",
- "sampler": "مزج",
"seed": "بذرة",
"randomizeSeed": "تبديل بذرة",
"shuffle": "تشغيل",
@@ -364,10 +358,6 @@
"hiresOptim": "تحسين الدقة العالية",
"imageFit": "ملائمة الصورة الأولية لحجم الخرج",
"codeformerFidelity": "الوثوقية",
- "seamSize": "حجم التشقق",
- "seamBlur": "ضباب التشقق",
- "seamStrength": "قوة التشقق",
- "seamSteps": "خطوات التشقق",
"scaleBeforeProcessing": "تحجيم قبل المعالجة",
"scaledWidth": "العرض المحجوب",
"scaledHeight": "الارتفاع المحجوب",
@@ -378,8 +368,6 @@
"infillScalingHeader": "التعبئة والتحجيم",
"img2imgStrength": "قوة صورة إلى صورة",
"toggleLoopback": "تبديل الإعادة",
- "invoke": "إطلاق",
- "promptPlaceholder": "اكتب المحث هنا. [العلامات السلبية], (زيادة الوزن) ++, (نقص الوزن)--, التبديل و الخلط متاحة (انظر الوثائق)",
"sendTo": "أرسل إلى",
"sendToImg2Img": "أرسل إلى صورة إلى صورة",
"sendToUnifiedCanvas": "أرسل إلى الخطوط الموحدة",
@@ -393,7 +381,6 @@
"useAll": "استخدام الكل",
"useInitImg": "استخدام الصورة الأولية",
"info": "معلومات",
- "deleteImage": "حذف الصورة",
"initialImage": "الصورة الأولية",
"showOptionsPanel": "إظهار لوحة الخيارات"
},
@@ -403,7 +390,6 @@
"saveSteps": "حفظ الصور كل n خطوات",
"confirmOnDelete": "تأكيد عند الحذف",
"displayHelpIcons": "عرض أيقونات المساعدة",
- "useCanvasBeta": "استخدام مخطط الأزرار بيتا",
"enableImageDebugging": "تمكين التصحيح عند التصوير",
"resetWebUI": "إعادة تعيين واجهة الويب",
"resetWebUIDesc1": "إعادة تعيين واجهة الويب يعيد فقط ذاكرة التخزين المؤقت للمتصفح لصورك وإعداداتك المذكورة. لا يحذف أي صور من القرص.",
@@ -413,7 +399,6 @@
"toast": {
"tempFoldersEmptied": "تم تفريغ مجلد المؤقت",
"uploadFailed": "فشل التحميل",
- "uploadFailedMultipleImagesDesc": "تم الصق صور متعددة، قد يتم تحميل صورة واحدة فقط في الوقت الحالي",
"uploadFailedUnableToLoadDesc": "تعذر تحميل الملف",
"downloadImageStarted": "بدأ تنزيل الصورة",
"imageCopied": "تم نسخ الصورة",
diff --git a/invokeai/frontend/web/dist/locales/de.json b/invokeai/frontend/web/dist/locales/de.json
index cff09d46bb..9baa6eb6a2 100644
--- a/invokeai/frontend/web/dist/locales/de.json
+++ b/invokeai/frontend/web/dist/locales/de.json
@@ -1,12 +1,8 @@
{
"common": {
- "themeLabel": "Thema",
"languagePickerLabel": "Sprachauswahl",
"reportBugLabel": "Fehler melden",
"settingsLabel": "Einstellungen",
- "darkTheme": "Dunkel",
- "lightTheme": "Hell",
- "greenTheme": "Grün",
"img2img": "Bild zu Bild",
"nodes": "Knoten",
"langGerman": "Deutsch",
@@ -48,7 +44,6 @@
"langEnglish": "Englisch",
"langDutch": "Niederländisch",
"langFrench": "Französisch",
- "oceanTheme": "Ozean",
"langItalian": "Italienisch",
"langPortuguese": "Portogisisch",
"langRussian": "Russisch",
@@ -76,7 +71,6 @@
"maintainAspectRatio": "Seitenverhältnis beibehalten",
"autoSwitchNewImages": "Automatisch zu neuen Bildern wechseln",
"singleColumnLayout": "Einspaltiges Layout",
- "pinGallery": "Galerie anpinnen",
"allImagesLoaded": "Alle Bilder geladen",
"loadMore": "Mehr laden",
"noImagesInGallery": "Keine Bilder in der Galerie"
@@ -346,7 +340,6 @@
"cfgScale": "CFG-Skala",
"width": "Breite",
"height": "Höhe",
- "sampler": "Sampler",
"randomizeSeed": "Zufälliger Seed",
"shuffle": "Mischen",
"noiseThreshold": "Rausch-Schwellenwert",
@@ -367,10 +360,6 @@
"hiresOptim": "High-Res-Optimierung",
"imageFit": "Ausgangsbild an Ausgabegröße anpassen",
"codeformerFidelity": "Glaubwürdigkeit",
- "seamSize": "Nahtgröße",
- "seamBlur": "Nahtunschärfe",
- "seamStrength": "Stärke der Naht",
- "seamSteps": "Nahtstufen",
"scaleBeforeProcessing": "Skalieren vor der Verarbeitung",
"scaledWidth": "Skaliert W",
"scaledHeight": "Skaliert H",
@@ -381,8 +370,6 @@
"infillScalingHeader": "Infill und Skalierung",
"img2imgStrength": "Bild-zu-Bild-Stärke",
"toggleLoopback": "Toggle Loopback",
- "invoke": "Invoke",
- "promptPlaceholder": "Prompt hier eingeben. [negative Token], (mehr Gewicht)++, (geringeres Gewicht)--, Tausch und Überblendung sind verfügbar (siehe Dokumente)",
"sendTo": "Senden an",
"sendToImg2Img": "Senden an Bild zu Bild",
"sendToUnifiedCanvas": "Senden an Unified Canvas",
@@ -394,7 +381,6 @@
"useSeed": "Seed verwenden",
"useAll": "Alle verwenden",
"useInitImg": "Ausgangsbild verwenden",
- "deleteImage": "Bild löschen",
"initialImage": "Ursprüngliches Bild",
"showOptionsPanel": "Optionsleiste zeigen",
"cancel": {
@@ -406,7 +392,6 @@
"saveSteps": "Speichern der Bilder alle n Schritte",
"confirmOnDelete": "Bestätigen beim Löschen",
"displayHelpIcons": "Hilfesymbole anzeigen",
- "useCanvasBeta": "Canvas Beta Layout verwenden",
"enableImageDebugging": "Bild-Debugging aktivieren",
"resetWebUI": "Web-Oberfläche zurücksetzen",
"resetWebUIDesc1": "Das Zurücksetzen der Web-Oberfläche setzt nur den lokalen Cache des Browsers mit Ihren Bildern und gespeicherten Einstellungen zurück. Es werden keine Bilder von der Festplatte gelöscht.",
@@ -416,7 +401,6 @@
"toast": {
"tempFoldersEmptied": "Temp-Ordner geleert",
"uploadFailed": "Hochladen fehlgeschlagen",
- "uploadFailedMultipleImagesDesc": "Mehrere Bilder eingefügt, es kann nur ein Bild auf einmal hochgeladen werden",
"uploadFailedUnableToLoadDesc": "Datei kann nicht geladen werden",
"downloadImageStarted": "Bild wird heruntergeladen",
"imageCopied": "Bild kopiert",
@@ -532,7 +516,6 @@
"modifyConfig": "Optionen einstellen",
"toggleAutoscroll": "Auroscroll ein/ausschalten",
"toggleLogViewer": "Log Betrachter ein/ausschalten",
- "showGallery": "Zeige Galerie",
"showOptionsPanel": "Zeige Optionen",
"reset": "Zurücksetzen",
"nextImage": "Nächstes Bild",
diff --git a/invokeai/frontend/web/dist/locales/en.json b/invokeai/frontend/web/dist/locales/en.json
index 7f4ff3e37c..e0baefcf9e 100644
--- a/invokeai/frontend/web/dist/locales/en.json
+++ b/invokeai/frontend/web/dist/locales/en.json
@@ -38,19 +38,24 @@
"searchBoard": "Search Boards...",
"selectBoard": "Select a Board",
"topMessage": "This board contains images used in the following features:",
- "uncategorized": "Uncategorized"
+ "uncategorized": "Uncategorized",
+ "downloadBoard": "Download Board"
},
"common": {
"accept": "Accept",
"advanced": "Advanced",
"areYouSure": "Are you sure?",
+ "auto": "Auto",
"back": "Back",
"batch": "Batch Manager",
"cancel": "Cancel",
"close": "Close",
+ "on": "On",
"communityLabel": "Community",
- "controlNet": "Controlnet",
+ "controlNet": "ControlNet",
+ "controlAdapter": "Control Adapter",
"ipAdapter": "IP Adapter",
+ "t2iAdapter": "T2I Adapter",
"darkMode": "Dark Mode",
"discordLabel": "Discord",
"dontAskMeAgain": "Don't ask me again",
@@ -130,6 +135,17 @@
"upload": "Upload"
},
"controlnet": {
+ "controlAdapter_one": "Control Adapter",
+ "controlAdapter_other": "Control Adapters",
+ "controlnet": "$t(controlnet.controlAdapter) #{{number}} ($t(common.controlNet))",
+ "ip_adapter": "$t(controlnet.controlAdapter) #{{number}} ($t(common.ipAdapter))",
+ "t2i_adapter": "$t(controlnet.controlAdapter) #{{number}} ($t(common.t2iAdapter))",
+ "addControlNet": "Add $t(common.controlNet)",
+ "addIPAdapter": "Add $t(common.ipAdapter)",
+ "addT2IAdapter": "Add $t(common.t2iAdapter)",
+ "controlNetEnabledT2IDisabled": "$t(common.controlNet) enabled, $t(common.t2iAdapter)s disabled",
+ "t2iEnabledControlNetDisabled": "$t(common.t2iAdapter) enabled, $t(common.controlNet)s disabled",
+ "controlNetT2IMutexDesc": "$t(common.controlNet) and $t(common.t2iAdapter) at same time is currently unsupported.",
"amult": "a_mult",
"autoConfigure": "Auto configure processor",
"balanced": "Balanced",
@@ -262,7 +278,8 @@
"batchValues": "Batch Values",
"notReady": "Unable to Queue",
"batchQueued": "Batch Queued",
- "batchQueuedDesc": "Added {{item_count}} sessions to {{direction}} of queue",
+ "batchQueuedDesc_one": "Added {{count}} sessions to {{direction}} of queue",
+ "batchQueuedDesc_other": "Added {{count}} sessions to {{direction}} of queue",
"front": "front",
"back": "back",
"batchFailedToQueue": "Failed to Queue Batch",
@@ -311,7 +328,10 @@
"showUploads": "Show Uploads",
"singleColumnLayout": "Single Column Layout",
"unableToLoad": "Unable to load Gallery",
- "uploads": "Uploads"
+ "uploads": "Uploads",
+ "downloadSelection": "Download Selection",
+ "preparingDownload": "Preparing Download",
+ "preparingDownloadFailed": "Problem Preparing Download"
},
"hotkeys": {
"acceptStagingImage": {
@@ -685,6 +705,7 @@
"vae": "VAE",
"vaeLocation": "VAE Location",
"vaeLocationValidationMsg": "Path to where your VAE is located.",
+ "vaePrecision": "VAE Precision",
"vaeRepoID": "VAE Repo ID",
"vaeRepoIDValidationMsg": "Online repository of your VAE",
"variant": "Variant",
@@ -905,6 +926,7 @@
},
"parameters": {
"aspectRatio": "Aspect Ratio",
+ "aspectRatioFree": "Free",
"boundingBoxHeader": "Bounding Box",
"boundingBoxHeight": "Bounding Box Height",
"boundingBoxWidth": "Bounding Box Width",
@@ -952,9 +974,10 @@
"missingFieldTemplate": "Missing field template",
"missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} missing input",
"missingNodeTemplate": "Missing node template",
- "noControlImageForControlNet": "ControlNet {{index}} has no control image",
+ "noControlImageForControlAdapter": "Control Adapter #{{number}} has no control image",
"noInitialImageSelected": "No initial image selected",
- "noModelForControlNet": "ControlNet {{index}} has no model selected.",
+ "noModelForControlAdapter": "Control Adapter #{{number}} has no model selected.",
+ "incompatibleBaseModelForControlAdapter": "Control Adapter #{{number}} model is invalid with main model.",
"noModelSelected": "No model selected",
"noPrompts": "No prompts generated",
"noNodesInGraph": "No nodes in graph",
@@ -1089,11 +1112,22 @@
"showAdvancedOptions": "Show Advanced Options",
"showProgressInViewer": "Show Progress Images in Viewer",
"ui": "User Interface",
- "useSlidersForAll": "Use Sliders For All Options"
+ "useSlidersForAll": "Use Sliders For All Options",
+ "clearIntermediatesDesc1": "Clearing intermediates will reset your Canvas and ControlNet state.",
+ "clearIntermediatesDesc2": "Intermediate images are byproducts of generation, different from the result images in the gallery. Clearing intermediates will free disk space.",
+ "clearIntermediatesDesc3": "Your gallery images will not be deleted.",
+ "clearIntermediates": "Clear Intermediates",
+ "clearIntermediatesWithCount_one": "Clear {{count}} Intermediate",
+ "clearIntermediatesWithCount_other": "Clear {{count}} Intermediates",
+ "clearIntermediatesWithCount_zero": "No Intermediates to Clear",
+ "intermediatesCleared_one": "Cleared {{count}} Intermediate",
+ "intermediatesCleared_other": "Cleared {{count}} Intermediates",
+ "intermediatesClearedFailed": "Problem Clearing Intermediates"
},
"toast": {
"addedToBoard": "Added to board",
- "baseModelChangedCleared": "Base model changed, cleared",
+ "baseModelChangedCleared_one": "Base model changed, cleared or disabled {{count}} incompatible submodel",
+ "baseModelChangedCleared_other": "Base model changed, cleared or disabled {{count}} incompatible submodels",
"canceled": "Processing Canceled",
"canvasCopiedClipboard": "Canvas Copied to Clipboard",
"canvasDownloaded": "Canvas Downloaded",
@@ -1113,7 +1147,6 @@
"imageSavingFailed": "Image Saving Failed",
"imageUploaded": "Image Uploaded",
"imageUploadFailed": "Image Upload Failed",
- "incompatibleSubmodel": "incompatible submodel",
"initialImageNotSet": "Initial Image Not Set",
"initialImageNotSetDesc": "Could not load initial image",
"initialImageSet": "Initial Image Set",
diff --git a/invokeai/frontend/web/dist/locales/es.json b/invokeai/frontend/web/dist/locales/es.json
index d17cefaad2..8ff4c53165 100644
--- a/invokeai/frontend/web/dist/locales/es.json
+++ b/invokeai/frontend/web/dist/locales/es.json
@@ -1,16 +1,12 @@
{
"common": {
"hotkeysLabel": "Atajos de teclado",
- "themeLabel": "Tema",
"languagePickerLabel": "Selector de idioma",
"reportBugLabel": "Reportar errores",
"settingsLabel": "Ajustes",
- "darkTheme": "Oscuro",
- "lightTheme": "Claro",
- "greenTheme": "Verde",
"img2img": "Imagen a Imagen",
"unifiedCanvas": "Lienzo Unificado",
- "nodes": "Nodos",
+ "nodes": "Editor del flujo de trabajo",
"langSpanish": "Español",
"nodesDesc": "Un sistema de generación de imágenes basado en nodos, actualmente se encuentra en desarrollo. Mantente pendiente a nuestras actualizaciones acerca de esta fabulosa funcionalidad.",
"postProcessing": "Post-procesamiento",
@@ -19,7 +15,7 @@
"postProcessDesc3": "La Interfaz de Línea de Comandos de Invoke AI ofrece muchas otras características, incluyendo -Embiggen-.",
"training": "Entrenamiento",
"trainingDesc1": "Un flujo de trabajo dedicado para el entrenamiento de sus propios -embeddings- y puntos de control utilizando Inversión Textual y Dreambooth desde la interfaz web.",
- "trainingDesc2": "InvokeAI ya soporta el entrenamiento de -embeddings- personalizados utilizando la Inversión Textual mediante el script principal.",
+ "trainingDesc2": "InvokeAI ya admite el entrenamiento de incrustaciones personalizadas mediante la inversión textual mediante el script principal.",
"upload": "Subir imagen",
"close": "Cerrar",
"load": "Cargar",
@@ -63,18 +59,27 @@
"statusConvertingModel": "Convertir el modelo",
"statusModelConverted": "Modelo adaptado",
"statusMergingModels": "Fusionar modelos",
- "oceanTheme": "Océano",
"langPortuguese": "Portugués",
"langKorean": "Coreano",
"langHebrew": "Hebreo",
- "pinOptionsPanel": "Pin del panel de opciones",
"loading": "Cargando",
"loadingInvokeAI": "Cargando invocar a la IA",
"postprocessing": "Tratamiento posterior",
"txt2img": "De texto a imagen",
"accept": "Aceptar",
"cancel": "Cancelar",
- "linear": "Lineal"
+ "linear": "Lineal",
+ "random": "Aleatorio",
+ "generate": "Generar",
+ "openInNewTab": "Abrir en una nueva pestaña",
+ "dontAskMeAgain": "No me preguntes de nuevo",
+ "areYouSure": "¿Estas seguro?",
+ "imagePrompt": "Indicación de imagen",
+ "batch": "Administrador de lotes",
+ "darkMode": "Modo oscuro",
+ "lightMode": "Modo claro",
+ "modelManager": "Administrador de modelos",
+ "communityLabel": "Comunidad"
},
"gallery": {
"generations": "Generaciones",
@@ -87,10 +92,15 @@
"maintainAspectRatio": "Mantener relación de aspecto",
"autoSwitchNewImages": "Auto seleccionar Imágenes nuevas",
"singleColumnLayout": "Diseño de una columna",
- "pinGallery": "Fijar galería",
"allImagesLoaded": "Todas las imágenes cargadas",
"loadMore": "Cargar más",
- "noImagesInGallery": "Sin imágenes en la galería"
+ "noImagesInGallery": "No hay imágenes para mostrar",
+ "deleteImage": "Eliminar Imagen",
+ "deleteImageBin": "Las imágenes eliminadas se enviarán a la papelera de tu sistema operativo.",
+ "deleteImagePermanent": "Las imágenes eliminadas no se pueden restaurar.",
+ "images": "Imágenes",
+ "assets": "Activos",
+ "autoAssignBoardOnClick": "Asignación automática de tableros al hacer clic"
},
"hotkeys": {
"keyboardShortcuts": "Atajos de teclado",
@@ -297,7 +307,12 @@
"acceptStagingImage": {
"title": "Aceptar imagen",
"desc": "Aceptar la imagen actual en el área de preparación"
- }
+ },
+ "addNodes": {
+ "title": "Añadir Nodos",
+ "desc": "Abre el menú para añadir nodos"
+ },
+ "nodesHotkeys": "Teclas de acceso rápido a los nodos"
},
"modelManager": {
"modelManager": "Gestor de Modelos",
@@ -349,8 +364,8 @@
"delete": "Eliminar",
"deleteModel": "Eliminar Modelo",
"deleteConfig": "Eliminar Configuración",
- "deleteMsg1": "¿Estás seguro de querer eliminar esta entrada de modelo de InvokeAI?",
- "deleteMsg2": "El checkpoint del modelo no se eliminará de tu disco. Puedes volver a añadirlo si lo deseas.",
+ "deleteMsg1": "¿Estás seguro de que deseas eliminar este modelo de InvokeAI?",
+ "deleteMsg2": "Esto eliminará el modelo del disco si está en la carpeta raíz de InvokeAI. Si está utilizando una ubicación personalizada, el modelo NO se eliminará del disco.",
"safetensorModels": "SafeTensors",
"addDiffuserModel": "Añadir difusores",
"inpainting": "v1 Repintado",
@@ -369,8 +384,8 @@
"convertToDiffusers": "Convertir en difusores",
"convertToDiffusersHelpText1": "Este modelo se convertirá al formato 🧨 Difusores.",
"convertToDiffusersHelpText2": "Este proceso sustituirá su entrada del Gestor de Modelos por la versión de Difusores del mismo modelo.",
- "convertToDiffusersHelpText3": "Su archivo de puntos de control en el disco NO será borrado ni modificado de ninguna manera. Puede volver a añadir su punto de control al Gestor de Modelos si lo desea.",
- "convertToDiffusersHelpText5": "Asegúrese de que dispone de suficiente espacio en disco. Los modelos suelen variar entre 4 GB y 7 GB de tamaño.",
+ "convertToDiffusersHelpText3": "Tu archivo del punto de control en el disco se eliminará si está en la carpeta raíz de InvokeAI. Si está en una ubicación personalizada, NO se eliminará.",
+ "convertToDiffusersHelpText5": "Por favor, asegúrate de tener suficiente espacio en el disco. Los modelos generalmente varían entre 2 GB y 7 GB de tamaño.",
"convertToDiffusersHelpText6": "¿Desea transformar este modelo?",
"convertToDiffusersSaveLocation": "Guardar ubicación",
"v1": "v1",
@@ -409,7 +424,27 @@
"pickModelType": "Elige el tipo de modelo",
"v2_768": "v2 (768px)",
"addDifference": "Añadir una diferencia",
- "scanForModels": "Buscar modelos"
+ "scanForModels": "Buscar modelos",
+ "vae": "VAE",
+ "variant": "Variante",
+ "baseModel": "Modelo básico",
+ "modelConversionFailed": "Conversión al modelo fallida",
+ "selectModel": "Seleccionar un modelo",
+ "modelUpdateFailed": "Error al actualizar el modelo",
+ "modelsMergeFailed": "Fusión del modelo fallida",
+ "convertingModelBegin": "Convirtiendo el modelo. Por favor, espere.",
+ "modelDeleted": "Modelo eliminado",
+ "modelDeleteFailed": "Error al borrar el modelo",
+ "noCustomLocationProvided": "‐No se proporcionó una ubicación personalizada",
+ "importModels": "Importar los modelos",
+ "settings": "Ajustes",
+ "syncModels": "Sincronizar las plantillas",
+ "syncModelsDesc": "Si tus plantillas no están sincronizados con el backend, puedes actualizarlas usando esta opción. Esto suele ser útil en los casos en los que actualizas manualmente tu archivo models.yaml o añades plantillas a la carpeta raíz de InvokeAI después de que la aplicación haya arrancado.",
+ "modelsSynced": "Plantillas sincronizadas",
+ "modelSyncFailed": "La sincronización de la plantilla falló",
+ "loraModels": "LoRA",
+ "onnxModels": "Onnx",
+ "oliveModels": "Olives"
},
"parameters": {
"images": "Imágenes",
@@ -417,10 +452,9 @@
"cfgScale": "Escala CFG",
"width": "Ancho",
"height": "Alto",
- "sampler": "Muestreo",
"seed": "Semilla",
"randomizeSeed": "Semilla aleatoria",
- "shuffle": "Aleatorizar",
+ "shuffle": "Semilla aleatoria",
"noiseThreshold": "Umbral de Ruido",
"perlinNoise": "Ruido Perlin",
"variations": "Variaciones",
@@ -439,10 +473,6 @@
"hiresOptim": "Optimización de Alta Resolución",
"imageFit": "Ajuste tamaño de imagen inicial al tamaño objetivo",
"codeformerFidelity": "Fidelidad",
- "seamSize": "Tamaño del parche",
- "seamBlur": "Desenfoque del parche",
- "seamStrength": "Fuerza del parche",
- "seamSteps": "Pasos del parche",
"scaleBeforeProcessing": "Redimensionar antes de procesar",
"scaledWidth": "Ancho escalado",
"scaledHeight": "Alto escalado",
@@ -453,8 +483,6 @@
"infillScalingHeader": "Remplazo y escalado",
"img2imgStrength": "Peso de Imagen a Imagen",
"toggleLoopback": "Alternar Retroalimentación",
- "invoke": "Invocar",
- "promptPlaceholder": "Ingrese la entrada aquí. [símbolos negativos], (subir peso)++, (bajar peso)--, también disponible alternado y mezclado (ver documentación)",
"sendTo": "Enviar a",
"sendToImg2Img": "Enviar a Imagen a Imagen",
"sendToUnifiedCanvas": "Enviar a Lienzo Unificado",
@@ -467,7 +495,6 @@
"useAll": "Usar Todo",
"useInitImg": "Usar Imagen Inicial",
"info": "Información",
- "deleteImage": "Eliminar Imagen",
"initialImage": "Imagen Inicial",
"showOptionsPanel": "Mostrar panel de opciones",
"symmetry": "Simetría",
@@ -481,37 +508,72 @@
},
"copyImage": "Copiar la imagen",
"general": "General",
- "negativePrompts": "Preguntas negativas",
"imageToImage": "Imagen a imagen",
"denoisingStrength": "Intensidad de la eliminación del ruido",
"hiresStrength": "Alta resistencia",
"showPreview": "Mostrar la vista previa",
- "hidePreview": "Ocultar la vista previa"
+ "hidePreview": "Ocultar la vista previa",
+ "noiseSettings": "Ruido",
+ "seamlessXAxis": "Eje x",
+ "seamlessYAxis": "Eje y",
+ "scheduler": "Programador",
+ "boundingBoxWidth": "Anchura del recuadro",
+ "boundingBoxHeight": "Altura del recuadro",
+ "positivePromptPlaceholder": "Prompt Positivo",
+ "negativePromptPlaceholder": "Prompt Negativo",
+ "controlNetControlMode": "Modo de control",
+ "clipSkip": "Omitir el CLIP",
+ "aspectRatio": "Relación",
+ "maskAdjustmentsHeader": "Ajustes de la máscara",
+ "maskBlur": "Difuminar",
+ "maskBlurMethod": "Método del desenfoque",
+ "seamHighThreshold": "Alto",
+ "seamLowThreshold": "Bajo",
+ "coherencePassHeader": "Parámetros de la coherencia",
+ "compositingSettingsHeader": "Ajustes de la composición",
+ "coherenceSteps": "Pasos",
+ "coherenceStrength": "Fuerza",
+ "patchmatchDownScaleSize": "Reducir a escala",
+ "coherenceMode": "Modo"
},
"settings": {
"models": "Modelos",
- "displayInProgress": "Mostrar imágenes en progreso",
+ "displayInProgress": "Mostrar las imágenes del progreso",
"saveSteps": "Guardar imágenes cada n pasos",
"confirmOnDelete": "Confirmar antes de eliminar",
"displayHelpIcons": "Mostrar iconos de ayuda",
- "useCanvasBeta": "Usar versión beta del Lienzo",
"enableImageDebugging": "Habilitar depuración de imágenes",
"resetWebUI": "Restablecer interfaz web",
"resetWebUIDesc1": "Al restablecer la interfaz web, solo se restablece la caché local del navegador de sus imágenes y la configuración guardada. No se elimina ninguna imagen de su disco duro.",
"resetWebUIDesc2": "Si las imágenes no se muestran en la galería o algo más no funciona, intente restablecer antes de reportar un incidente en GitHub.",
- "resetComplete": "La interfaz web se ha restablecido. Actualice la página para recargarla.",
- "useSlidersForAll": "Utilice controles deslizantes para todas las opciones"
+ "resetComplete": "Se ha restablecido la interfaz web.",
+ "useSlidersForAll": "Utilice controles deslizantes para todas las opciones",
+ "general": "General",
+ "consoleLogLevel": "Nivel del registro",
+ "shouldLogToConsole": "Registro de la consola",
+ "developer": "Desarrollador",
+ "antialiasProgressImages": "Imágenes del progreso de Antialias",
+ "showProgressInViewer": "Mostrar las imágenes del progreso en el visor",
+ "ui": "Interfaz del usuario",
+ "generation": "Generación",
+ "favoriteSchedulers": "Programadores favoritos",
+ "favoriteSchedulersPlaceholder": "No hay programadores favoritos",
+ "showAdvancedOptions": "Mostrar las opciones avanzadas",
+ "alternateCanvasLayout": "Diseño alternativo del lienzo",
+ "beta": "Beta",
+ "enableNodesEditor": "Activar el editor de nodos",
+ "experimental": "Experimental",
+ "autoChangeDimensions": "Actualiza W/H a los valores predeterminados del modelo cuando se modifica"
},
"toast": {
"tempFoldersEmptied": "Directorio temporal vaciado",
"uploadFailed": "Error al subir archivo",
- "uploadFailedMultipleImagesDesc": "Únicamente se puede subir una imágen a la vez",
"uploadFailedUnableToLoadDesc": "No se pudo cargar la imágen",
"downloadImageStarted": "Descargando imágen",
"imageCopied": "Imágen copiada",
"imageLinkCopied": "Enlace de imágen copiado",
"imageNotLoaded": "No se cargó la imágen",
- "imageNotLoadedDesc": "No se encontró imagen para enviar al módulo Imagen a Imagen",
+ "imageNotLoadedDesc": "No se pudo encontrar la imagen",
"imageSavedToGallery": "Imágen guardada en la galería",
"canvasMerged": "Lienzo consolidado",
"sentToImageToImage": "Enviar hacia Imagen a Imagen",
@@ -536,7 +598,21 @@
"serverError": "Error en el servidor",
"disconnected": "Desconectado del servidor",
"canceled": "Procesando la cancelación",
- "connected": "Conectado al servidor"
+ "connected": "Conectado al servidor",
+ "problemCopyingImageLink": "No se puede copiar el enlace de la imagen",
+ "uploadFailedInvalidUploadDesc": "Debe ser una sola imagen PNG o JPEG",
+ "parameterSet": "Conjunto de parámetros",
+ "parameterNotSet": "Parámetro no configurado",
+ "nodesSaved": "Nodos guardados",
+ "nodesLoadedFailed": "Error al cargar los nodos",
+ "nodesLoaded": "Nodos cargados",
+ "nodesCleared": "Nodos borrados",
+ "problemCopyingImage": "No se puede copiar la imagen",
+ "nodesNotValidJSON": "JSON no válido",
+ "nodesCorruptedGraph": "No se puede cargar. El gráfico parece estar dañado.",
+ "nodesUnrecognizedTypes": "No se puede cargar. El gráfico tiene tipos no reconocidos",
+ "nodesNotValidGraph": "Gráfico del nodo InvokeAI no válido",
+ "nodesBrokenConnections": "No se puede cargar. Algunas conexiones están rotas."
},
"tooltip": {
"feature": {
@@ -610,7 +686,8 @@
"betaClear": "Limpiar",
"betaDarkenOutside": "Oscurecer fuera",
"betaLimitToBox": "Limitar a caja",
- "betaPreserveMasked": "Preservar área enmascarada"
+ "betaPreserveMasked": "Preservar área enmascarada",
+ "antialiasing": "Suavizado"
},
"accessibility": {
"invokeProgressBar": "Activar la barra de progreso",
@@ -631,8 +708,30 @@
"modifyConfig": "Modificar la configuración",
"toggleAutoscroll": "Activar el autodesplazamiento",
"toggleLogViewer": "Alternar el visor de registros",
- "showGallery": "Mostrar galería",
- "showOptionsPanel": "Mostrar el panel de opciones",
+ "showOptionsPanel": "Mostrar el panel lateral",
"menu": "Menú"
+ },
+ "ui": {
+ "hideProgressImages": "Ocultar el progreso de la imagen",
+ "showProgressImages": "Mostrar el progreso de la imagen",
+ "swapSizes": "Cambiar los tamaños",
+ "lockRatio": "Proporción del bloqueo"
+ },
+ "nodes": {
+ "showGraphNodes": "Mostrar la superposición de los gráficos",
+ "zoomInNodes": "Acercar",
+ "hideMinimapnodes": "Ocultar el minimapa",
+ "fitViewportNodes": "Ajustar la vista",
+ "zoomOutNodes": "Alejar",
+ "hideGraphNodes": "Ocultar la superposición de los gráficos",
+ "hideLegendNodes": "Ocultar la leyenda del tipo de campo",
+ "showLegendNodes": "Mostrar la leyenda del tipo de campo",
+ "showMinimapnodes": "Mostrar el minimapa",
+ "reloadNodeTemplates": "Recargar las plantillas de nodos",
+ "loadWorkflow": "Cargar el flujo de trabajo",
+ "resetWorkflow": "Reiniciar e flujo de trabajo",
+ "resetWorkflowDesc": "¿Está seguro de que deseas restablecer este flujo de trabajo?",
+ "resetWorkflowDesc2": "Al reiniciar el flujo de trabajo se borrarán todos los nodos, aristas y detalles del flujo de trabajo.",
+ "downloadWorkflow": "Descargar el flujo de trabajo en un archivo JSON"
}
}
diff --git a/invokeai/frontend/web/dist/locales/fi.json b/invokeai/frontend/web/dist/locales/fi.json
index a6edd6d8b8..cf7fc6701b 100644
--- a/invokeai/frontend/web/dist/locales/fi.json
+++ b/invokeai/frontend/web/dist/locales/fi.json
@@ -15,7 +15,6 @@
"rotateCounterClockwise": "Kierrä vastapäivään",
"rotateClockwise": "Kierrä myötäpäivään",
"flipVertically": "Käännä pystysuoraan",
- "showGallery": "Näytä galleria",
"modifyConfig": "Muokkaa konfiguraatiota",
"toggleAutoscroll": "Kytke automaattinen vieritys",
"toggleLogViewer": "Kytke lokin katselutila",
@@ -34,18 +33,13 @@
"hotkeysLabel": "Pikanäppäimet",
"reportBugLabel": "Raportoi Bugista",
"langPolish": "Puola",
- "themeLabel": "Teema",
"langDutch": "Hollanti",
"settingsLabel": "Asetukset",
"githubLabel": "Github",
- "darkTheme": "Tumma",
- "lightTheme": "Vaalea",
- "greenTheme": "Vihreä",
"langGerman": "Saksa",
"langPortuguese": "Portugali",
"discordLabel": "Discord",
"langEnglish": "Englanti",
- "oceanTheme": "Meren sininen",
"langRussian": "Venäjä",
"langUkranian": "Ukraina",
"langSpanish": "Espanja",
@@ -79,7 +73,6 @@
"statusGeneratingInpainting": "Generoidaan sisällemaalausta",
"statusGeneratingOutpainting": "Generoidaan ulosmaalausta",
"statusRestoringFaces": "Korjataan kasvoja",
- "pinOptionsPanel": "Kiinnitä asetukset -paneeli",
"loadingInvokeAI": "Ladataan Invoke AI:ta",
"loading": "Ladataan",
"statusGenerating": "Generoidaan",
@@ -95,7 +88,6 @@
"galleryImageResetSize": "Resetoi koko",
"maintainAspectRatio": "Säilytä kuvasuhde",
"galleryImageSize": "Kuvan koko",
- "pinGallery": "Kiinnitä galleria",
"showGenerations": "Näytä generaatiot",
"singleColumnLayout": "Yhden sarakkeen asettelu",
"generations": "Generoinnit",
diff --git a/invokeai/frontend/web/dist/locales/fr.json b/invokeai/frontend/web/dist/locales/fr.json
index cf215d7d06..b7ab932fcc 100644
--- a/invokeai/frontend/web/dist/locales/fr.json
+++ b/invokeai/frontend/web/dist/locales/fr.json
@@ -1,13 +1,9 @@
{
"common": {
"hotkeysLabel": "Raccourcis clavier",
- "themeLabel": "Thème",
"languagePickerLabel": "Sélecteur de langue",
"reportBugLabel": "Signaler un bug",
"settingsLabel": "Paramètres",
- "darkTheme": "Sombre",
- "lightTheme": "Clair",
- "greenTheme": "Vert",
"img2img": "Image en image",
"unifiedCanvas": "Canvas unifié",
"nodes": "Nœuds",
@@ -55,7 +51,6 @@
"statusConvertingModel": "Conversion du modèle",
"statusModelConverted": "Modèle converti",
"loading": "Chargement",
- "pinOptionsPanel": "Épingler la page d'options",
"statusMergedModels": "Modèles mélangés",
"txt2img": "Texte vers image",
"postprocessing": "Post-Traitement"
@@ -71,7 +66,6 @@
"maintainAspectRatio": "Maintenir le rapport d'aspect",
"autoSwitchNewImages": "Basculer automatiquement vers de nouvelles images",
"singleColumnLayout": "Mise en page en colonne unique",
- "pinGallery": "Épingler la galerie",
"allImagesLoaded": "Toutes les images chargées",
"loadMore": "Charger plus",
"noImagesInGallery": "Aucune image dans la galerie"
@@ -356,7 +350,6 @@
"cfgScale": "CFG Echelle",
"width": "Largeur",
"height": "Hauteur",
- "sampler": "Echantillonneur",
"seed": "Graine",
"randomizeSeed": "Graine Aléatoire",
"shuffle": "Mélanger",
@@ -378,10 +371,6 @@
"hiresOptim": "Optimisation Haute Résolution",
"imageFit": "Ajuster Image Initiale à la Taille de Sortie",
"codeformerFidelity": "Fidélité",
- "seamSize": "Taille des Joints",
- "seamBlur": "Flou des Joints",
- "seamStrength": "Force des Joints",
- "seamSteps": "Etapes des Joints",
"scaleBeforeProcessing": "Echelle Avant Traitement",
"scaledWidth": "Larg. Échelle",
"scaledHeight": "Haut. Échelle",
@@ -392,8 +381,6 @@
"infillScalingHeader": "Remplissage et Mise à l'Échelle",
"img2imgStrength": "Force de l'Image à l'Image",
"toggleLoopback": "Activer/Désactiver la Boucle",
- "invoke": "Invoker",
- "promptPlaceholder": "Tapez le prompt ici. [tokens négatifs], (poids positif)++, (poids négatif)--, swap et blend sont disponibles (voir les docs)",
"sendTo": "Envoyer à",
"sendToImg2Img": "Envoyer à Image à Image",
"sendToUnifiedCanvas": "Envoyer au Canvas Unifié",
@@ -407,7 +394,6 @@
"useAll": "Tout utiliser",
"useInitImg": "Utiliser l'image initiale",
"info": "Info",
- "deleteImage": "Supprimer l'image",
"initialImage": "Image initiale",
"showOptionsPanel": "Afficher le panneau d'options"
},
@@ -417,7 +403,6 @@
"saveSteps": "Enregistrer les images tous les n étapes",
"confirmOnDelete": "Confirmer la suppression",
"displayHelpIcons": "Afficher les icônes d'aide",
- "useCanvasBeta": "Utiliser la mise en page bêta de Canvas",
"enableImageDebugging": "Activer le débogage d'image",
"resetWebUI": "Réinitialiser l'interface Web",
"resetWebUIDesc1": "Réinitialiser l'interface Web ne réinitialise que le cache local du navigateur de vos images et de vos paramètres enregistrés. Cela n'efface pas les images du disque.",
@@ -427,7 +412,6 @@
"toast": {
"tempFoldersEmptied": "Dossiers temporaires vidés",
"uploadFailed": "Téléchargement échoué",
- "uploadFailedMultipleImagesDesc": "Plusieurs images collées, peut uniquement télécharger une image à la fois",
"uploadFailedUnableToLoadDesc": "Impossible de charger le fichier",
"downloadImageStarted": "Téléchargement de l'image démarré",
"imageCopied": "Image copiée",
@@ -538,6 +522,10 @@
"useThisParameter": "Utiliser ce paramètre",
"zoomIn": "Zoom avant",
"zoomOut": "Zoom arrière",
- "showOptionsPanel": "Montrer la page d'options"
+ "showOptionsPanel": "Montrer la page d'options",
+ "modelSelect": "Choix du modèle",
+ "invokeProgressBar": "Barre de Progression Invoke",
+ "copyMetadataJson": "Copie des métadonnées JSON",
+ "menu": "Menu"
}
}
diff --git a/invokeai/frontend/web/dist/locales/he.json b/invokeai/frontend/web/dist/locales/he.json
index c9b4ff3b17..dfb5ea0360 100644
--- a/invokeai/frontend/web/dist/locales/he.json
+++ b/invokeai/frontend/web/dist/locales/he.json
@@ -107,13 +107,10 @@
},
"common": {
"nodesDesc": "מערכת מבוססת צמתים עבור יצירת תמונות עדיין תחת פיתוח. השארו קשובים לעדכונים עבור הפיצ׳ר המדהים הזה.",
- "themeLabel": "ערכת נושא",
"languagePickerLabel": "בחירת שפה",
"githubLabel": "גיטהאב",
"discordLabel": "דיסקורד",
"settingsLabel": "הגדרות",
- "darkTheme": "חשוך",
- "lightTheme": "מואר",
"langEnglish": "אנגלית",
"langDutch": "הולנדית",
"langArabic": "ערבית",
@@ -155,7 +152,6 @@
"statusMergedModels": "מודלים מוזגו",
"hotkeysLabel": "מקשים חמים",
"reportBugLabel": "דווח באג",
- "greenTheme": "ירוק",
"langItalian": "איטלקית",
"upload": "העלאה",
"langPolish": "פולנית",
@@ -384,7 +380,6 @@
"maintainAspectRatio": "שמור על יחס רוחב-גובה",
"autoSwitchNewImages": "החלף אוטומטית לתמונות חדשות",
"singleColumnLayout": "תצוגת עמודה אחת",
- "pinGallery": "הצמד גלריה",
"allImagesLoaded": "כל התמונות נטענו",
"loadMore": "טען עוד",
"noImagesInGallery": "אין תמונות בגלריה",
@@ -399,7 +394,6 @@
"cfgScale": "סולם CFG",
"width": "רוחב",
"height": "גובה",
- "sampler": "דוגם",
"seed": "זרע",
"imageToImage": "תמונה לתמונה",
"randomizeSeed": "זרע אקראי",
@@ -416,10 +410,6 @@
"hiresOptim": "אופטימיזצית רזולוציה גבוהה",
"hiresStrength": "חוזק רזולוציה גבוהה",
"codeformerFidelity": "דבקות",
- "seamSize": "גודל תפר",
- "seamBlur": "טשטוש תפר",
- "seamStrength": "חוזק תפר",
- "seamSteps": "שלבי תפר",
"scaleBeforeProcessing": "שנה קנה מידה לפני עיבוד",
"scaledWidth": "קנה מידה לאחר שינוי W",
"scaledHeight": "קנה מידה לאחר שינוי H",
@@ -432,14 +422,12 @@
"symmetry": "סימטריה",
"vSymmetryStep": "צעד סימטריה V",
"hSymmetryStep": "צעד סימטריה H",
- "invoke": "הפעלה",
"cancel": {
"schedule": "ביטול לאחר האיטרציה הנוכחית",
"isScheduled": "מבטל",
"immediate": "ביטול מיידי",
"setType": "הגדר סוג ביטול"
},
- "negativePrompts": "בקשות שליליות",
"sendTo": "שליחה אל",
"copyImage": "העתקת תמונה",
"downloadImage": "הורדת תמונה",
@@ -464,15 +452,12 @@
"seamlessTiling": "ריצוף חלק",
"img2imgStrength": "חוזק תמונה לתמונה",
"initialImage": "תמונה ראשונית",
- "copyImageToLink": "העתקת תמונה לקישור",
- "deleteImage": "מחיקת תמונה",
- "promptPlaceholder": "הקלד בקשה כאן. [אסימונים שליליים], (העלאת משקל)++ , (הורדת משקל)--, החלפה ומיזוג זמינים (ראה מסמכים)"
+ "copyImageToLink": "העתקת תמונה לקישור"
},
"settings": {
"models": "מודלים",
"displayInProgress": "הצגת תמונות בתהליך",
"confirmOnDelete": "אישור בעת המחיקה",
- "useCanvasBeta": "שימוש בגרסת ביתא של תצוגת הקנבס",
"useSlidersForAll": "שימוש במחוונים לכל האפשרויות",
"resetWebUI": "איפוס ממשק משתמש",
"resetWebUIDesc1": "איפוס ממשק המשתמש האינטרנטי מאפס רק את המטמון המקומי של הדפדפן של התמונות וההגדרות שנשמרו. זה לא מוחק תמונות מהדיסק.",
@@ -484,7 +469,6 @@
},
"toast": {
"uploadFailed": "העלאה נכשלה",
- "uploadFailedMultipleImagesDesc": "תמונות מרובות הודבקו, ניתן להעלות תמונה אחת בלבד בכל פעם",
"imageCopied": "התמונה הועתקה",
"imageLinkCopied": "קישור תמונה הועתק",
"imageNotLoadedDesc": "לא נמצאה תמונה לשליחה למודול תמונה לתמונה",
diff --git a/invokeai/frontend/web/dist/locales/it.json b/invokeai/frontend/web/dist/locales/it.json
index 4ac5b6831d..42836e4d0f 100644
--- a/invokeai/frontend/web/dist/locales/it.json
+++ b/invokeai/frontend/web/dist/locales/it.json
@@ -1,16 +1,12 @@
{
"common": {
"hotkeysLabel": "Tasti di scelta rapida",
- "themeLabel": "Tema",
- "languagePickerLabel": "Seleziona lingua",
+ "languagePickerLabel": "Lingua",
"reportBugLabel": "Segnala un errore",
"settingsLabel": "Impostazioni",
- "darkTheme": "Scuro",
- "lightTheme": "Chiaro",
- "greenTheme": "Verde",
"img2img": "Immagine a Immagine",
"unifiedCanvas": "Tela unificata",
- "nodes": "Nodi",
+ "nodes": "Editor del flusso di lavoro",
"langItalian": "Italiano",
"nodesDesc": "Attualmente è in fase di sviluppo un sistema basato su nodi per la generazione di immagini. Resta sintonizzato per gli aggiornamenti su questa fantastica funzionalità.",
"postProcessing": "Post-elaborazione",
@@ -19,7 +15,7 @@
"postProcessDesc3": "L'interfaccia da riga di comando di 'Invoke AI' offre varie altre funzionalità tra cui Embiggen.",
"training": "Addestramento",
"trainingDesc1": "Un flusso di lavoro dedicato per addestrare i tuoi Incorporamenti e Checkpoint utilizzando Inversione Testuale e Dreambooth dall'interfaccia web.",
- "trainingDesc2": "InvokeAI supporta già l'addestramento di incorporamenti personalizzati utilizzando l'inversione testuale utilizzando lo script principale.",
+ "trainingDesc2": "InvokeAI supporta già l'addestramento di incorporamenti personalizzati utilizzando l'inversione testuale tramite lo script principale.",
"upload": "Caricamento",
"close": "Chiudi",
"load": "Carica",
@@ -31,14 +27,14 @@
"statusProcessingCanceled": "Elaborazione annullata",
"statusProcessingComplete": "Elaborazione completata",
"statusGenerating": "Generazione in corso",
- "statusGeneratingTextToImage": "Generazione da Testo a Immagine",
+ "statusGeneratingTextToImage": "Generazione Testo a Immagine",
"statusGeneratingImageToImage": "Generazione da Immagine a Immagine",
"statusGeneratingInpainting": "Generazione Inpainting",
"statusGeneratingOutpainting": "Generazione Outpainting",
"statusGenerationComplete": "Generazione completata",
"statusIterationComplete": "Iterazione completata",
"statusSavingImage": "Salvataggio dell'immagine",
- "statusRestoringFaces": "Restaura i volti",
+ "statusRestoringFaces": "Restaura volti",
"statusRestoringFacesGFPGAN": "Restaura volti (GFPGAN)",
"statusRestoringFacesCodeFormer": "Restaura volti (CodeFormer)",
"statusUpscaling": "Ampliamento",
@@ -65,16 +61,33 @@
"statusConvertingModel": "Conversione Modello",
"langKorean": "Coreano",
"langPortuguese": "Portoghese",
- "pinOptionsPanel": "Blocca il pannello Opzioni",
"loading": "Caricamento in corso",
- "oceanTheme": "Oceano",
"langHebrew": "Ebraico",
"loadingInvokeAI": "Caricamento Invoke AI",
"postprocessing": "Post Elaborazione",
"txt2img": "Testo a Immagine",
"accept": "Accetta",
"cancel": "Annulla",
- "linear": "Lineare"
+ "linear": "Lineare",
+ "generate": "Genera",
+ "random": "Casuale",
+ "openInNewTab": "Apri in una nuova scheda",
+ "areYouSure": "Sei sicuro?",
+ "dontAskMeAgain": "Non chiedermelo più",
+ "imagePrompt": "Prompt Immagine",
+ "darkMode": "Modalità scura",
+ "lightMode": "Modalità chiara",
+ "batch": "Gestione Lotto",
+ "modelManager": "Gestore modello",
+ "communityLabel": "Comunità",
+ "nodeEditor": "Editor dei nodi",
+ "statusProcessing": "Elaborazione in corso",
+ "advanced": "Avanzate",
+ "imageFailedToLoad": "Impossibile caricare l'immagine",
+ "learnMore": "Per saperne di più",
+ "ipAdapter": "Adattatore IP",
+ "t2iAdapter": "Adattatore T2I",
+ "controlAdapter": "Adattatore di Controllo"
},
"gallery": {
"generations": "Generazioni",
@@ -87,10 +100,22 @@
"maintainAspectRatio": "Mantenere le proporzioni",
"autoSwitchNewImages": "Passaggio automatico a nuove immagini",
"singleColumnLayout": "Layout a colonna singola",
- "pinGallery": "Blocca la galleria",
"allImagesLoaded": "Tutte le immagini caricate",
- "loadMore": "Carica di più",
- "noImagesInGallery": "Nessuna immagine nella galleria"
+ "loadMore": "Carica altro",
+ "noImagesInGallery": "Nessuna immagine da visualizzare",
+ "deleteImage": "Elimina l'immagine",
+ "deleteImagePermanent": "Le immagini eliminate non possono essere ripristinate.",
+ "deleteImageBin": "Le immagini eliminate verranno spostate nel Cestino del tuo sistema operativo.",
+ "images": "Immagini",
+ "assets": "Risorse",
+ "autoAssignBoardOnClick": "Assegna automaticamente la bacheca al clic",
+ "featuresWillReset": "Se elimini questa immagine, quelle funzionalità verranno immediatamente ripristinate.",
+ "loading": "Caricamento in corso",
+ "unableToLoad": "Impossibile caricare la Galleria",
+ "currentlyInUse": "Questa immagine è attualmente utilizzata nelle seguenti funzionalità:",
+ "copy": "Copia",
+ "download": "Scarica",
+ "setCurrentImage": "Imposta come immagine corrente"
},
"hotkeys": {
"keyboardShortcuts": "Tasti rapidi",
@@ -163,7 +188,7 @@
"desc": "Mostra le informazioni sui metadati dell'immagine corrente"
},
"sendToImageToImage": {
- "title": "Invia a da Immagine a Immagine",
+ "title": "Invia a Immagine a Immagine",
"desc": "Invia l'immagine corrente a da Immagine a Immagine"
},
"deleteImage": {
@@ -297,6 +322,11 @@
"acceptStagingImage": {
"title": "Accetta l'immagine della sessione",
"desc": "Accetta l'immagine dell'area della sessione corrente"
+ },
+ "nodesHotkeys": "Tasti di scelta rapida dei Nodi",
+ "addNodes": {
+ "title": "Aggiungi Nodi",
+ "desc": "Apre il menu Aggiungi Nodi"
}
},
"modelManager": {
@@ -308,7 +338,7 @@
"safetensorModels": "SafeTensor",
"modelAdded": "Modello Aggiunto",
"modelUpdated": "Modello Aggiornato",
- "modelEntryDeleted": "Modello Rimosso",
+ "modelEntryDeleted": "Voce del modello eliminata",
"cannotUseSpaces": "Impossibile utilizzare gli spazi",
"addNew": "Aggiungi nuovo",
"addNewModel": "Aggiungi nuovo Modello",
@@ -323,7 +353,7 @@
"config": "Configurazione",
"configValidationMsg": "Percorso del file di configurazione del modello.",
"modelLocation": "Posizione del modello",
- "modelLocationValidationMsg": "Percorso dove si trova il modello.",
+ "modelLocationValidationMsg": "Fornisci il percorso di una cartella locale in cui è archiviato il tuo modello di diffusori",
"repo_id": "Repo ID",
"repoIDValidationMsg": "Repository online del modello",
"vaeLocation": "Posizione file VAE",
@@ -360,7 +390,7 @@
"deleteModel": "Elimina modello",
"deleteConfig": "Elimina configurazione",
"deleteMsg1": "Sei sicuro di voler eliminare questo modello da InvokeAI?",
- "deleteMsg2": "Questo non eliminerà il file Checkpoint del modello dal tuo disco. Puoi aggiungerlo nuovamente se lo desideri.",
+ "deleteMsg2": "Questo eliminerà il modello dal disco se si trova nella cartella principale di InvokeAI. Se utilizzi una cartella personalizzata, il modello NON verrà eliminato dal disco.",
"formMessageDiffusersModelLocation": "Ubicazione modelli diffusori",
"formMessageDiffusersModelLocationDesc": "Inseriscine almeno uno.",
"formMessageDiffusersVAELocation": "Ubicazione file VAE",
@@ -369,7 +399,7 @@
"convertToDiffusers": "Converti in Diffusori",
"convertToDiffusersHelpText2": "Questo processo sostituirà la voce in Gestione Modelli con la versione Diffusori dello stesso modello.",
"convertToDiffusersHelpText4": "Questo è un processo una tantum. Potrebbero essere necessari circa 30-60 secondi a seconda delle specifiche del tuo computer.",
- "convertToDiffusersHelpText5": "Assicurati di avere spazio su disco sufficiente. I modelli generalmente variano tra 4 GB e 7 GB di dimensioni.",
+ "convertToDiffusersHelpText5": "Assicurati di avere spazio su disco sufficiente. I modelli generalmente variano tra 2 GB e 7 GB di dimensioni.",
"convertToDiffusersHelpText6": "Vuoi convertire questo modello?",
"convertToDiffusersSaveLocation": "Ubicazione salvataggio",
"inpainting": "v1 Inpainting",
@@ -378,12 +408,12 @@
"modelConverted": "Modello convertito",
"sameFolder": "Stessa cartella",
"invokeRoot": "Cartella InvokeAI",
- "merge": "Fondere",
- "modelsMerged": "Modelli fusi",
- "mergeModels": "Fondi Modelli",
+ "merge": "Unisci",
+ "modelsMerged": "Modelli uniti",
+ "mergeModels": "Unisci Modelli",
"modelOne": "Modello 1",
"modelTwo": "Modello 2",
- "mergedModelName": "Nome del modello fuso",
+ "mergedModelName": "Nome del modello unito",
"alpha": "Alpha",
"interpolationType": "Tipo di interpolazione",
"mergedModelCustomSaveLocation": "Percorso personalizzato",
@@ -394,7 +424,7 @@
"mergedModelSaveLocation": "Ubicazione salvataggio",
"convertToDiffusersHelpText1": "Questo modello verrà convertito nel formato 🧨 Diffusore.",
"custom": "Personalizzata",
- "convertToDiffusersHelpText3": "Il tuo file checkpoint sul disco NON verrà comunque cancellato o modificato. Se lo desideri, puoi aggiungerlo di nuovo in Gestione Modelli.",
+ "convertToDiffusersHelpText3": "Il file checkpoint su disco SARÀ eliminato se si trova nella cartella principale di InvokeAI. Se si trova in una posizione personalizzata, NON verrà eliminato.",
"v1": "v1",
"pathToCustomConfig": "Percorso alla configurazione personalizzata",
"modelThree": "Modello 3",
@@ -406,10 +436,39 @@
"inverseSigmoid": "Sigmoide inverso",
"v2_base": "v2 (512px)",
"v2_768": "v2 (768px)",
- "none": "niente",
+ "none": "nessuno",
"addDifference": "Aggiungi differenza",
"pickModelType": "Scegli il tipo di modello",
- "scanForModels": "Cerca modelli"
+ "scanForModels": "Cerca modelli",
+ "variant": "Variante",
+ "baseModel": "Modello Base",
+ "vae": "VAE",
+ "modelUpdateFailed": "Aggiornamento del modello non riuscito",
+ "modelConversionFailed": "Conversione del modello non riuscita",
+ "modelsMergeFailed": "Unione modelli non riuscita",
+ "selectModel": "Seleziona Modello",
+ "modelDeleted": "Modello eliminato",
+ "modelDeleteFailed": "Impossibile eliminare il modello",
+ "noCustomLocationProvided": "Nessuna posizione personalizzata fornita",
+ "convertingModelBegin": "Conversione del modello. Attendere prego.",
+ "importModels": "Importa modelli",
+ "modelsSynced": "Modelli sincronizzati",
+ "modelSyncFailed": "Sincronizzazione modello non riuscita",
+ "settings": "Impostazioni",
+ "syncModels": "Sincronizza Modelli",
+ "syncModelsDesc": "Se i tuoi modelli non sono sincronizzati con il back-end, puoi aggiornarli utilizzando questa opzione. Questo è generalmente utile nei casi in cui aggiorni manualmente il tuo file models.yaml o aggiungi modelli alla cartella principale di InvokeAI dopo l'avvio dell'applicazione.",
+ "loraModels": "LoRA",
+ "oliveModels": "Olive",
+ "onnxModels": "ONNX",
+ "noModels": "Nessun modello trovato",
+ "predictionType": "Tipo di previsione (per modelli Stable Diffusion 2.x ed alcuni modelli Stable Diffusion 1.x)",
+ "quickAdd": "Aggiunta rapida",
+ "simpleModelDesc": "Fornire un percorso a un modello diffusori locale, un modello checkpoint/safetensor locale, un ID repository HuggingFace o un URL del modello checkpoint/diffusori.",
+ "advanced": "Avanzate",
+ "useCustomConfig": "Utilizza configurazione personalizzata",
+ "closeAdvanced": "Chiudi Avanzate",
+ "modelType": "Tipo di modello",
+ "customConfigFileLocation": "Posizione del file di configurazione personalizzato"
},
"parameters": {
"images": "Immagini",
@@ -417,10 +476,9 @@
"cfgScale": "Scala CFG",
"width": "Larghezza",
"height": "Altezza",
- "sampler": "Campionatore",
"seed": "Seme",
"randomizeSeed": "Seme randomizzato",
- "shuffle": "Casuale",
+ "shuffle": "Mescola il seme",
"noiseThreshold": "Soglia del rumore",
"perlinNoise": "Rumore Perlin",
"variations": "Variazioni",
@@ -431,7 +489,7 @@
"type": "Tipo",
"strength": "Forza",
"upscaling": "Ampliamento",
- "upscale": "Amplia",
+ "upscale": "Amplia (Shift + U)",
"upscaleImage": "Amplia Immagine",
"scale": "Scala",
"otherOptions": "Altre opzioni",
@@ -439,10 +497,6 @@
"hiresOptim": "Ottimizzazione alta risoluzione",
"imageFit": "Adatta l'immagine iniziale alle dimensioni di output",
"codeformerFidelity": "Fedeltà",
- "seamSize": "Dimensione della cucitura",
- "seamBlur": "Sfocatura cucitura",
- "seamStrength": "Forza della cucitura",
- "seamSteps": "Passaggi di cucitura",
"scaleBeforeProcessing": "Scala prima dell'elaborazione",
"scaledWidth": "Larghezza ridimensionata",
"scaledHeight": "Altezza ridimensionata",
@@ -453,10 +507,8 @@
"infillScalingHeader": "Riempimento e ridimensionamento",
"img2imgStrength": "Forza da Immagine a Immagine",
"toggleLoopback": "Attiva/disattiva elaborazione ricorsiva",
- "invoke": "Invoke",
- "promptPlaceholder": "Digita qui il prompt usando termini in lingua inglese. [token negativi], (aumenta il peso)++, (diminuisci il peso)--, scambia e fondi sono disponibili (consulta la documentazione)",
"sendTo": "Invia a",
- "sendToImg2Img": "Invia a da Immagine a Immagine",
+ "sendToImg2Img": "Invia a Immagine a Immagine",
"sendToUnifiedCanvas": "Invia a Tela Unificata",
"copyImageToLink": "Copia l'immagine nel collegamento",
"downloadImage": "Scarica l'immagine",
@@ -467,54 +519,121 @@
"useAll": "Usa Tutto",
"useInitImg": "Usa l'immagine iniziale",
"info": "Informazioni",
- "deleteImage": "Elimina immagine",
"initialImage": "Immagine iniziale",
- "showOptionsPanel": "Mostra pannello opzioni",
+ "showOptionsPanel": "Mostra il pannello laterale (O o T)",
"general": "Generale",
- "denoisingStrength": "Forza riduzione rumore",
+ "denoisingStrength": "Forza di riduzione del rumore",
"copyImage": "Copia immagine",
"hiresStrength": "Forza Alta Risoluzione",
- "negativePrompts": "Prompt Negativi",
"imageToImage": "Immagine a Immagine",
"cancel": {
"schedule": "Annulla dopo l'iterazione corrente",
"isScheduled": "Annullamento",
"setType": "Imposta il tipo di annullamento",
- "immediate": "Annulla immediatamente"
+ "immediate": "Annulla immediatamente",
+ "cancel": "Annulla"
},
"hSymmetryStep": "Passi Simmetria Orizzontale",
"vSymmetryStep": "Passi Simmetria Verticale",
"symmetry": "Simmetria",
"hidePreview": "Nascondi l'anteprima",
- "showPreview": "Mostra l'anteprima"
+ "showPreview": "Mostra l'anteprima",
+ "noiseSettings": "Rumore",
+ "seamlessXAxis": "Asse X",
+ "seamlessYAxis": "Asse Y",
+ "scheduler": "Campionatore",
+ "boundingBoxWidth": "Larghezza riquadro di delimitazione",
+ "boundingBoxHeight": "Altezza riquadro di delimitazione",
+ "positivePromptPlaceholder": "Prompt Positivo",
+ "negativePromptPlaceholder": "Prompt Negativo",
+ "controlNetControlMode": "Modalità di controllo",
+ "clipSkip": "CLIP Skip",
+ "aspectRatio": "Proporzioni",
+ "maskAdjustmentsHeader": "Regolazioni della maschera",
+ "maskBlur": "Sfocatura",
+ "maskBlurMethod": "Metodo di sfocatura",
+ "seamLowThreshold": "Basso",
+ "seamHighThreshold": "Alto",
+ "coherencePassHeader": "Passaggio di coerenza",
+ "coherenceSteps": "Passi",
+ "coherenceStrength": "Forza",
+ "compositingSettingsHeader": "Impostazioni di composizione",
+ "patchmatchDownScaleSize": "Ridimensiona",
+ "coherenceMode": "Modalità",
+ "invoke": {
+ "noNodesInGraph": "Nessun nodo nel grafico",
+ "noModelSelected": "Nessun modello selezionato",
+ "noPrompts": "Nessun prompt generato",
+ "noInitialImageSelected": "Nessuna immagine iniziale selezionata",
+ "readyToInvoke": "Pronto per invocare",
+ "addingImagesTo": "Aggiungi immagini a",
+ "systemBusy": "Sistema occupato",
+ "unableToInvoke": "Impossibile invocare",
+ "systemDisconnected": "Sistema disconnesso",
+ "noControlImageForControlAdapter": "L'adattatore di controllo {{number}} non ha un'immagine di controllo",
+ "noModelForControlAdapter": "Nessun modello selezionato per l'adattatore di controllo {{number}}.",
+ "incompatibleBaseModelForControlAdapter": "Il modello dell'adattatore di controllo {{number}} non è compatibile con il modello principale."
+ },
+ "enableNoiseSettings": "Abilita le impostazioni del rumore",
+ "cpuNoise": "Rumore CPU",
+ "gpuNoise": "Rumore GPU",
+ "useCpuNoise": "Usa la CPU per generare rumore",
+ "manualSeed": "Seme manuale",
+ "randomSeed": "Seme casuale",
+ "iterations": "Iterazioni",
+ "iterationsWithCount_one": "{{count}} Iterazione",
+ "iterationsWithCount_many": "{{count}} Iterazioni",
+ "iterationsWithCount_other": "",
+ "seamlessX&Y": "Senza cuciture X & Y",
+ "isAllowedToUpscale": {
+ "useX2Model": "L'immagine è troppo grande per l'ampliamento con il modello x4, utilizza il modello x2",
+ "tooLarge": "L'immagine è troppo grande per l'ampliamento, seleziona un'immagine più piccola"
+ },
+ "seamlessX": "Senza cuciture X",
+ "seamlessY": "Senza cuciture Y",
+ "imageActions": "Azioni Immagine"
},
"settings": {
"models": "Modelli",
- "displayInProgress": "Visualizza immagini in corso",
+ "displayInProgress": "Visualizza le immagini di avanzamento",
"saveSteps": "Salva le immagini ogni n passaggi",
"confirmOnDelete": "Conferma l'eliminazione",
"displayHelpIcons": "Visualizza le icone della Guida",
- "useCanvasBeta": "Utilizza il layout beta di Canvas",
"enableImageDebugging": "Abilita il debug dell'immagine",
"resetWebUI": "Reimposta l'interfaccia utente Web",
"resetWebUIDesc1": "Il ripristino dell'interfaccia utente Web reimposta solo la cache locale del browser delle immagini e le impostazioni memorizzate. Non cancella alcuna immagine dal disco.",
"resetWebUIDesc2": "Se le immagini non vengono visualizzate nella galleria o qualcos'altro non funziona, prova a reimpostare prima di segnalare un problema su GitHub.",
- "resetComplete": "L'interfaccia utente Web è stata reimpostata. Aggiorna la pagina per ricaricarla.",
- "useSlidersForAll": "Usa i cursori per tutte le opzioni"
+ "resetComplete": "L'interfaccia utente Web è stata reimpostata.",
+ "useSlidersForAll": "Usa i cursori per tutte le opzioni",
+ "general": "Generale",
+ "consoleLogLevel": "Livello del registro",
+ "shouldLogToConsole": "Registrazione della console",
+ "developer": "Sviluppatore",
+ "antialiasProgressImages": "Anti aliasing delle immagini di avanzamento",
+ "showProgressInViewer": "Mostra le immagini di avanzamento nel visualizzatore",
+ "generation": "Generazione",
+ "ui": "Interfaccia Utente",
+ "favoriteSchedulersPlaceholder": "Nessun campionatore preferito",
+ "favoriteSchedulers": "Campionatori preferiti",
+ "showAdvancedOptions": "Mostra Opzioni Avanzate",
+ "alternateCanvasLayout": "Layout alternativo della tela",
+ "beta": "Beta",
+ "enableNodesEditor": "Abilita l'editor dei nodi",
+ "experimental": "Sperimentale",
+ "autoChangeDimensions": "Aggiorna L/A alle impostazioni predefinite del modello in caso di modifica"
},
"toast": {
"tempFoldersEmptied": "Cartella temporanea svuotata",
"uploadFailed": "Caricamento fallito",
- "uploadFailedMultipleImagesDesc": "Più immagini incollate, si può caricare solo un'immagine alla volta",
"uploadFailedUnableToLoadDesc": "Impossibile caricare il file",
"downloadImageStarted": "Download dell'immagine avviato",
"imageCopied": "Immagine copiata",
"imageLinkCopied": "Collegamento immagine copiato",
"imageNotLoaded": "Nessuna immagine caricata",
- "imageNotLoadedDesc": "Nessuna immagine trovata da inviare al modulo da Immagine a Immagine",
+ "imageNotLoadedDesc": "Impossibile trovare l'immagine",
"imageSavedToGallery": "Immagine salvata nella Galleria",
"canvasMerged": "Tela unita",
- "sentToImageToImage": "Inviato a da Immagine a Immagine",
+ "sentToImageToImage": "Inviato a Immagine a Immagine",
"sentToUnifiedCanvas": "Inviato a Tela Unificata",
"parametersSet": "Parametri impostati",
"parametersNotSet": "Parametri non impostati",
@@ -536,7 +655,57 @@
"serverError": "Errore del Server",
"disconnected": "Disconnesso dal Server",
"connected": "Connesso al Server",
- "canceled": "Elaborazione annullata"
+ "canceled": "Elaborazione annullata",
+ "problemCopyingImageLink": "Impossibile copiare il collegamento dell'immagine",
+ "uploadFailedInvalidUploadDesc": "Deve essere una singola immagine PNG o JPEG",
+ "parameterSet": "Parametro impostato",
+ "parameterNotSet": "Parametro non impostato",
+ "nodesLoadedFailed": "Impossibile caricare i nodi",
+ "nodesSaved": "Nodi salvati",
+ "nodesLoaded": "Nodi caricati",
+ "nodesCleared": "Nodi cancellati",
+ "problemCopyingImage": "Impossibile copiare l'immagine",
+ "nodesNotValidGraph": "Grafico del nodo InvokeAI non valido",
+ "nodesCorruptedGraph": "Impossibile caricare. Il grafico sembra essere danneggiato.",
+ "nodesUnrecognizedTypes": "Impossibile caricare. Il grafico ha tipi di dati non riconosciuti",
+ "nodesNotValidJSON": "JSON non valido",
+ "nodesBrokenConnections": "Impossibile caricare. Alcune connessioni sono interrotte.",
+ "baseModelChangedCleared_one": "Il modello base è stato modificato, cancellato o disabilitato {{number}} sotto-modello incompatibile",
+ "baseModelChangedCleared_many": "",
+ "baseModelChangedCleared_other": "",
+ "imageSavingFailed": "Salvataggio dell'immagine non riuscito",
+ "canvasSentControlnetAssets": "Tela inviata a ControlNet & Risorse",
+ "problemCopyingCanvasDesc": "Impossibile copiare la tela",
+ "loadedWithWarnings": "Flusso di lavoro caricato con avvisi",
+ "canvasCopiedClipboard": "Tela copiata negli appunti",
+ "maskSavedAssets": "Maschera salvata nelle risorse",
+ "modelAddFailed": "Aggiunta del modello non riuscita",
+ "problemDownloadingCanvas": "Problema durante il download della tela",
+ "problemMergingCanvas": "Problema nell'unione delle tele",
+ "imageUploaded": "Immagine caricata",
+ "addedToBoard": "Aggiunto alla bacheca",
+ "modelAddedSimple": "Modello aggiunto",
+ "problemImportingMaskDesc": "Impossibile importare la maschera",
+ "problemCopyingCanvas": "Problema durante la copia della tela",
+ "problemSavingCanvas": "Problema nel salvataggio della tela",
+ "canvasDownloaded": "Tela scaricata",
+ "problemMergingCanvasDesc": "Impossibile unire le tele",
+ "problemDownloadingCanvasDesc": "Impossibile scaricare la tela",
+ "imageSaved": "Immagine salvata",
+ "maskSentControlnetAssets": "Maschera inviata a ControlNet & Risorse",
+ "canvasSavedGallery": "Tela salvata nella Galleria",
+ "imageUploadFailed": "Caricamento immagine non riuscito",
+ "modelAdded": "Modello aggiunto: {{modelName}}",
+ "problemImportingMask": "Problema durante l'importazione della maschera",
+ "setInitialImage": "Imposta come immagine iniziale",
+ "setControlImage": "Imposta come immagine di controllo",
+ "setNodeField": "Imposta come campo nodo",
+ "problemSavingMask": "Problema nel salvataggio della maschera",
+ "problemSavingCanvasDesc": "Impossibile salvare la tela",
+ "setCanvasInitialImage": "Imposta come immagine iniziale della tela",
+ "workflowLoaded": "Flusso di lavoro caricato",
+ "setIPAdapterImage": "Imposta come immagine per l'Adattatore IP",
+ "problemSavingMaskDesc": "Impossibile salvare la maschera"
},
"tooltip": {
"feature": {
@@ -610,7 +779,10 @@
"betaClear": "Svuota",
"betaDarkenOutside": "Oscura all'esterno",
"betaLimitToBox": "Limita al rettangolo",
- "betaPreserveMasked": "Conserva quanto mascherato"
+ "betaPreserveMasked": "Conserva quanto mascherato",
+ "antialiasing": "Anti aliasing",
+ "showResultsOn": "Mostra i risultati (attivato)",
+ "showResultsOff": "Mostra i risultati (disattivato)"
},
"accessibility": {
"modelSelect": "Seleziona modello",
@@ -628,11 +800,519 @@
"rotateClockwise": "Ruotare in senso orario",
"flipHorizontally": "Capovolgi orizzontalmente",
"toggleLogViewer": "Attiva/disattiva visualizzatore registro",
- "showGallery": "Mostra la galleria immagini",
- "showOptionsPanel": "Mostra il pannello opzioni",
+ "showOptionsPanel": "Mostra il pannello laterale",
"flipVertically": "Capovolgi verticalmente",
"toggleAutoscroll": "Attiva/disattiva lo scorrimento automatico",
"modifyConfig": "Modifica configurazione",
- "menu": "Menu"
+ "menu": "Menu",
+ "showGalleryPanel": "Mostra il pannello Galleria",
+ "loadMore": "Carica altro"
+ },
+ "ui": {
+ "hideProgressImages": "Nascondi avanzamento immagini",
+ "showProgressImages": "Mostra avanzamento immagini",
+ "swapSizes": "Scambia dimensioni",
+ "lockRatio": "Blocca le proporzioni"
+ },
+ "nodes": {
+ "zoomOutNodes": "Rimpicciolire",
+ "hideGraphNodes": "Nascondi sovrapposizione grafico",
+ "hideLegendNodes": "Nascondi la legenda del tipo di campo",
+ "showLegendNodes": "Mostra legenda del tipo di campo",
+ "hideMinimapnodes": "Nascondi minimappa",
+ "showMinimapnodes": "Mostra minimappa",
+ "zoomInNodes": "Ingrandire",
+ "fitViewportNodes": "Adatta vista",
+ "showGraphNodes": "Mostra sovrapposizione grafico",
+ "resetWorkflowDesc2": "Reimpostare il flusso di lavoro cancellerà tutti i nodi, i bordi e i dettagli del flusso di lavoro.",
+ "reloadNodeTemplates": "Ricarica i modelli di nodo",
+ "loadWorkflow": "Importa flusso di lavoro JSON",
+ "resetWorkflow": "Reimposta flusso di lavoro",
+ "resetWorkflowDesc": "Sei sicuro di voler reimpostare questo flusso di lavoro?",
+ "downloadWorkflow": "Esporta flusso di lavoro JSON",
+ "scheduler": "Campionatore",
+ "addNode": "Aggiungi nodo",
+ "sDXLMainModelFieldDescription": "Campo del modello SDXL.",
+ "boardField": "Bacheca",
+ "animatedEdgesHelp": "Anima i bordi selezionati e i bordi collegati ai nodi selezionati",
+ "sDXLMainModelField": "Modello SDXL",
+ "executionStateInProgress": "In corso",
+ "executionStateError": "Errore",
+ "executionStateCompleted": "Completato",
+ "boardFieldDescription": "Una bacheca della galleria",
+ "addNodeToolTip": "Aggiungi nodo (Shift+A, Space)",
+ "sDXLRefinerModelField": "Modello Refiner",
+ "problemReadingMetadata": "Problema durante la lettura dei metadati dall'immagine",
+ "colorCodeEdgesHelp": "Bordi con codice colore in base ai campi collegati",
+ "animatedEdges": "Bordi animati",
+ "snapToGrid": "Aggancia alla griglia",
+ "validateConnections": "Convalida connessioni e grafico",
+ "validateConnectionsHelp": "Impedisce che vengano effettuate connessioni non valide e che vengano \"invocati\" grafici non validi",
+ "fullyContainNodesHelp": "I nodi devono essere completamente all'interno della casella di selezione per essere selezionati",
+ "fullyContainNodes": "Contenere completamente i nodi da selezionare",
+ "snapToGridHelp": "Aggancia i nodi alla griglia quando vengono spostati",
+ "workflowSettings": "Impostazioni Editor del flusso di lavoro",
+ "colorCodeEdges": "Bordi con codice colore",
+ "mainModelField": "Modello",
+ "noOutputRecorded": "Nessun output registrato",
+ "noFieldsLinearview": "Nessun campo aggiunto alla vista lineare",
+ "removeLinearView": "Rimuovi dalla vista lineare",
+ "workflowDescription": "Breve descrizione",
+ "workflowContact": "Contatto",
+ "workflowVersion": "Versione",
+ "workflow": "Flusso di lavoro",
+ "noWorkflow": "Nessun flusso di lavoro",
+ "workflowTags": "Tag",
+ "workflowValidation": "Errore di convalida del flusso di lavoro",
+ "workflowAuthor": "Autore",
+ "workflowName": "Nome",
+ "workflowNotes": "Note"
+ },
+ "boards": {
+ "autoAddBoard": "Aggiungi automaticamente bacheca",
+ "menuItemAutoAdd": "Aggiungi automaticamente a questa Bacheca",
+ "cancel": "Annulla",
+ "addBoard": "Aggiungi Bacheca",
+ "bottomMessage": "L'eliminazione di questa bacheca e delle sue immagini ripristinerà tutte le funzionalità che le stanno attualmente utilizzando.",
+ "changeBoard": "Cambia Bacheca",
+ "loading": "Caricamento in corso ...",
+ "clearSearch": "Cancella Ricerca",
+ "topMessage": "Questa bacheca contiene immagini utilizzate nelle seguenti funzionalità:",
+ "move": "Sposta",
+ "myBoard": "Bacheca",
+ "searchBoard": "Cerca bacheche ...",
+ "noMatching": "Nessuna bacheca corrispondente",
+ "selectBoard": "Seleziona una Bacheca",
+ "uncategorized": "Non categorizzato"
+ },
+ "controlnet": {
+ "contentShuffleDescription": "Rimescola il contenuto di un'immagine",
+ "contentShuffle": "Rimescola contenuto",
+ "beginEndStepPercent": "Percentuale passi Inizio / Fine",
+ "duplicate": "Duplica",
+ "balanced": "Bilanciato",
+ "depthMidasDescription": "Generazione di mappe di profondità usando Midas",
+ "control": "ControlNet",
+ "crop": "Ritaglia",
+ "depthMidas": "Profondità (Midas)",
+ "enableControlnet": "Abilita ControlNet",
+ "detectResolution": "Rileva risoluzione",
+ "controlMode": "Modalità Controllo",
+ "cannyDescription": "Canny rilevamento bordi",
+ "depthZoe": "Profondità (Zoe)",
+ "autoConfigure": "Configura automaticamente il processore",
+ "delete": "Elimina",
+ "depthZoeDescription": "Generazione di mappe di profondità usando Zoe",
+ "resize": "Ridimensiona",
+ "showAdvanced": "Mostra opzioni Avanzate",
+ "bgth": "Soglia rimozione sfondo",
+ "importImageFromCanvas": "Importa immagine dalla Tela",
+ "lineartDescription": "Converte l'immagine in lineart",
+ "importMaskFromCanvas": "Importa maschera dalla Tela",
+ "hideAdvanced": "Nascondi opzioni avanzate",
+ "ipAdapterModel": "Modello Adattatore",
+ "resetControlImage": "Reimposta immagine di controllo",
+ "f": "F",
+ "h": "H",
+ "prompt": "Prompt",
+ "openPoseDescription": "Stima della posa umana utilizzando Openpose",
+ "resizeMode": "Modalità ridimensionamento",
+ "weight": "Peso",
+ "selectModel": "Seleziona un modello",
+ "w": "W",
+ "processor": "Processore",
+ "none": "Nessuno",
+ "incompatibleBaseModel": "Modello base incompatibile:",
+ "pidiDescription": "Elaborazione immagini PIDI",
+ "fill": "Riempire",
+ "colorMapDescription": "Genera una mappa dei colori dall'immagine",
+ "lineartAnimeDescription": "Elaborazione lineart in stile anime",
+ "imageResolution": "Risoluzione dell'immagine",
+ "colorMap": "Colore",
+ "lowThreshold": "Soglia inferiore",
+ "highThreshold": "Soglia superiore",
+ "normalBaeDescription": "Elaborazione BAE normale",
+ "noneDescription": "Nessuna elaborazione applicata",
+ "saveControlImage": "Salva immagine di controllo",
+ "toggleControlNet": "Attiva/disattiva questo ControlNet",
+ "safe": "Sicuro",
+ "colorMapTileSize": "Dimensione piastrella",
+ "ipAdapterImageFallback": "Nessuna immagine dell'Adattatore IP selezionata",
+ "mediapipeFaceDescription": "Rilevamento dei volti tramite Mediapipe",
+ "hedDescription": "Rilevamento dei bordi nidificati olisticamente",
+ "setControlImageDimensions": "Imposta le dimensioni dell'immagine di controllo su L/A",
+ "resetIPAdapterImage": "Reimposta immagine Adattatore IP",
+ "handAndFace": "Mano e faccia",
+ "enableIPAdapter": "Abilita Adattatore IP",
+ "maxFaces": "Numero massimo di volti",
+ "addT2IAdapter": "Aggiungi $t(common.t2iAdapter)",
+ "controlNetEnabledT2IDisabled": "$t(common.controlNet) abilitato, $t(common.t2iAdapter) disabilitati",
+ "t2iEnabledControlNetDisabled": "$t(common.t2iAdapter) abilitato, $t(common.controlNet) disabilitati",
+ "addControlNet": "Aggiungi $t(common.controlNet)",
+ "controlNetT2IMutexDesc": "$t(common.controlNet) e $t(common.t2iAdapter) contemporaneamente non sono attualmente supportati.",
+ "addIPAdapter": "Aggiungi $t(common.ipAdapter)",
+ "controlAdapter": "Adattatore di Controllo",
+ "megaControl": "Mega ControlNet"
+ },
+ "queue": {
+ "queueFront": "Aggiungi all'inizio della coda",
+ "queueBack": "Aggiungi alla coda",
+ "queueCountPrediction": "Aggiungi {{predicted}} alla coda",
+ "queue": "Coda",
+ "status": "Stato",
+ "pruneSucceeded": "Rimossi {{item_count}} elementi completati dalla coda",
+ "cancelTooltip": "Annulla l'elemento corrente",
+ "queueEmpty": "Coda vuota",
+ "pauseSucceeded": "Elaborazione sospesa",
+ "in_progress": "In corso",
+ "notReady": "Impossibile mettere in coda",
+ "batchFailedToQueue": "Impossibile mettere in coda il lotto",
+ "completed": "Completati",
+ "batchValues": "Valori del lotto",
+ "cancelFailed": "Problema durante l'annullamento dell'elemento",
+ "batchQueued": "Lotto aggiunto alla coda",
+ "pauseFailed": "Problema durante la sospensione dell'elaborazione",
+ "clearFailed": "Problema nella cancellazione della coda",
+ "queuedCount": "{{pending}} In attesa",
+ "front": "inizio",
+ "clearSucceeded": "Coda cancellata",
+ "pause": "Sospendi",
+ "pruneTooltip": "Rimuovi {{item_count}} elementi completati",
+ "cancelSucceeded": "Elemento annullato",
+ "batchQueuedDesc": "Aggiunte {{item_count}} sessioni a {{direction}} della coda",
+ "graphQueued": "Grafico in coda",
+ "batch": "Lotto",
+ "clearQueueAlertDialog": "Lo svuotamento della coda annulla immediatamente tutti gli elementi in elaborazione e cancella completamente la coda.",
+ "pending": "In attesa",
+ "completedIn": "Completato in",
+ "resumeFailed": "Problema nel riavvio dell'elaborazione",
+ "clear": "Cancella",
+ "prune": "Rimuovi",
+ "total": "Totale",
+ "canceled": "Annullati",
+ "pruneFailed": "Problema nel rimuovere la coda",
+ "cancelBatchSucceeded": "Lotto annullato",
+ "clearTooltip": "Annulla e cancella tutti gli elementi",
+ "current": "Attuale",
+ "pauseTooltip": "Sospende l'elaborazione",
+ "failed": "Falliti",
+ "cancelItem": "Annulla l'elemento",
+ "next": "Prossimo",
+ "cancelBatch": "Annulla lotto",
+ "back": "fine",
+ "cancel": "Annulla",
+ "session": "Sessione",
+ "queueTotal": "{{total}} Totale",
+ "resumeSucceeded": "Elaborazione ripresa",
+ "enqueueing": "Lotto in coda",
+ "resumeTooltip": "Riprendi l'elaborazione",
+ "resume": "Riprendi",
+ "cancelBatchFailed": "Problema durante l'annullamento del lotto",
+ "clearQueueAlertDialog2": "Sei sicuro di voler cancellare la coda?",
+ "item": "Elemento",
+ "graphFailedToQueue": "Impossibile mettere in coda il grafico",
+ "queueMaxExceeded": "È stato superato il limite massimo di {{max_queue_size}} e {{skip}} elementi verrebbero saltati"
+ },
+ "embedding": {
+ "noMatchingEmbedding": "Nessun Incorporamento corrispondente",
+ "addEmbedding": "Aggiungi Incorporamento",
+ "incompatibleModel": "Modello base incompatibile:"
+ },
+ "models": {
+ "noMatchingModels": "Nessun modello corrispondente",
+ "loading": "caricamento",
+ "noMatchingLoRAs": "Nessun LoRA corrispondente",
+ "noLoRAsAvailable": "Nessun LoRA disponibile",
+ "noModelsAvailable": "Nessun modello disponibile",
+ "selectModel": "Seleziona un modello",
+ "selectLoRA": "Seleziona un LoRA"
+ },
+ "invocationCache": {
+ "disable": "Disabilita",
+ "misses": "Non trovati in cache",
+ "enableFailed": "Problema nell'abilitazione della cache delle invocazioni",
+ "invocationCache": "Cache delle invocazioni",
+ "clearSucceeded": "Cache delle invocazioni svuotata",
+ "enableSucceeded": "Cache delle invocazioni abilitata",
+ "clearFailed": "Problema durante lo svuotamento della cache delle invocazioni",
+ "hits": "Trovati in cache",
+ "disableSucceeded": "Cache delle invocazioni disabilitata",
+ "disableFailed": "Problema durante la disabilitazione della cache delle invocazioni",
+ "enable": "Abilita",
+ "clear": "Svuota",
+ "maxCacheSize": "Dimensione max cache",
+ "cacheSize": "Dimensione cache"
+ },
+ "dynamicPrompts": {
+ "seedBehaviour": {
+ "perPromptDesc": "Utilizza un seme diverso per ogni immagine",
+ "perIterationLabel": "Per iterazione",
+ "perIterationDesc": "Utilizza un seme diverso per ogni iterazione",
+ "perPromptLabel": "Per immagine",
+ "label": "Comportamento del seme"
+ },
+ "enableDynamicPrompts": "Abilita prompt dinamici",
+ "combinatorial": "Generazione combinatoria",
+ "maxPrompts": "Numero massimo di prompt",
+ "promptsWithCount_one": "{{count}} Prompt",
+ "promptsWithCount_many": "{{count}} Prompt",
+ "promptsWithCount_other": "",
+ "dynamicPrompts": "Prompt dinamici"
+ },
+ "popovers": {
+ "paramScheduler": {
+ "paragraphs": [
+ "Il campionatore definisce come aggiungere in modo iterativo il rumore a un'immagine o come aggiornare un campione in base all'output di un modello."
+ ],
+ "heading": "Campionatore"
+ },
+ "compositingMaskAdjustments": {
+ "heading": "Regolazioni della maschera",
+ "paragraphs": [
+ "Regola la maschera."
+ ]
+ },
+ "compositingCoherenceSteps": {
+ "heading": "Passi",
+ "paragraphs": [
+ "Numero di passi di riduzione del rumore utilizzati nel Passaggio di Coerenza.",
+ "Uguale al parametro principale Passi."
+ ]
+ },
+ "compositingBlur": {
+ "heading": "Sfocatura",
+ "paragraphs": [
+ "Il raggio di sfocatura della maschera."
+ ]
+ },
+ "compositingCoherenceMode": {
+ "heading": "Modalità",
+ "paragraphs": [
+ "La modalità del Passaggio di Coerenza."
+ ]
+ },
+ "clipSkip": {
+ "paragraphs": [
+ "Scegli quanti livelli del modello CLIP saltare.",
+ "Alcuni modelli funzionano meglio con determinate impostazioni di CLIP Skip.",
+ "Un valore più alto in genere produce un'immagine meno dettagliata."
+ ]
+ },
+ "compositingCoherencePass": {
+ "heading": "Passaggio di Coerenza",
+ "paragraphs": [
+ "Un secondo ciclo di riduzione del rumore aiuta a comporre l'immagine Inpaint/Outpaint."
+ ]
+ },
+ "compositingStrength": {
+ "heading": "Forza",
+ "paragraphs": [
+ "Intensità di riduzione del rumore per il passaggio di coerenza.",
+ "Uguale al parametro intensità di riduzione del rumore da immagine a immagine."
+ ]
+ },
+ "paramNegativeConditioning": {
+ "paragraphs": [
+ "Il processo di generazione evita i concetti nel prompt negativo. Utilizzatelo per escludere qualità o oggetti dall'output.",
+ "Supporta la sintassi e gli incorporamenti di Compel."
+ ],
+ "heading": "Prompt negativo"
+ },
+ "compositingBlurMethod": {
+ "heading": "Metodo di sfocatura",
+ "paragraphs": [
+ "Il metodo di sfocatura applicato all'area mascherata."
+ ]
+ },
+ "paramPositiveConditioning": {
+ "heading": "Prompt positivo",
+ "paragraphs": [
+ "Guida il processo di generazione. Puoi usare qualsiasi parola o frase.",
+ "Supporta sintassi e incorporamenti di Compel e Prompt Dinamici."
+ ]
+ },
+ "controlNetBeginEnd": {
+ "heading": "Percentuale passi Inizio / Fine",
+ "paragraphs": [
+ "A quali passi del processo di rimozione del rumore verrà applicato ControlNet.",
+ "I ControlNet applicati all'inizio del processo guidano la composizione, mentre i ControlNet applicati alla fine guidano i dettagli."
+ ]
+ },
+ "noiseUseCPU": {
+ "paragraphs": [
+ "Controlla se viene generato rumore sulla CPU o sulla GPU.",
+ "Con il rumore della CPU abilitato, un seme particolare produrrà la stessa immagine su qualsiasi macchina.",
+ "Non vi è alcun impatto sulle prestazioni nell'abilitare il rumore della CPU."
+ ],
+ "heading": "Usa la CPU per generare rumore"
+ },
+ "scaleBeforeProcessing": {
+ "paragraphs": [
+ "Ridimensiona l'area selezionata alla dimensione più adatta al modello prima del processo di generazione dell'immagine."
+ ],
+ "heading": "Scala prima dell'elaborazione"
+ },
+ "paramRatio": {
+ "heading": "Proporzioni",
+ "paragraphs": [
+ "Le proporzioni delle dimensioni dell'immagine generata.",
+ "Per i modelli SD1.5 si consiglia una dimensione dell'immagine (in numero di pixel) equivalente a 512x512 mentre per i modelli SDXL si consiglia una dimensione equivalente a 1024x1024."
+ ]
+ },
+ "dynamicPrompts": {
+ "paragraphs": [
+ "Prompt Dinamici crea molte variazioni a partire da un singolo prompt.",
+ "La sintassi di base è \"a {red|green|blue} ball\". Ciò produrrà tre prompt: \"a red ball\", \"a green ball\" e \"a blue ball\".",
+ "Puoi utilizzare la sintassi quante volte vuoi in un singolo prompt, ma assicurati di tenere sotto controllo il numero di prompt generati con l'impostazione \"Numero massimo di prompt\"."
+ ],
+ "heading": "Prompt Dinamici"
+ },
+ "paramVAE": {
+ "paragraphs": [
+ "Modello utilizzato per tradurre l'output dell'intelligenza artificiale nell'immagine finale."
+ ],
+ "heading": "VAE"
+ },
+ "paramIterations": {
+ "paragraphs": [
+ "Il numero di immagini da generare.",
+ "Se i prompt dinamici sono abilitati, ciascuno dei prompt verrà generato questo numero di volte."
+ ],
+ "heading": "Iterazioni"
+ },
+ "paramVAEPrecision": {
+ "heading": "Precisione VAE",
+ "paragraphs": [
+ "La precisione utilizzata durante la codifica e decodifica VAE. FP16/mezza precisione è più efficiente, a scapito di minori variazioni dell'immagine."
+ ]
+ },
+ "paramSeed": {
+ "paragraphs": [
+ "Controlla il rumore iniziale utilizzato per la generazione.",
+ "Disabilita seme \"Casuale\" per produrre risultati identici con le stesse impostazioni di generazione."
+ ],
+ "heading": "Seme"
+ },
+ "controlNetResizeMode": {
+ "heading": "Modalità ridimensionamento",
+ "paragraphs": [
+ "Come l'immagine ControlNet verrà adattata alle dimensioni di output dell'immagine."
+ ]
+ },
+ "dynamicPromptsSeedBehaviour": {
+ "paragraphs": [
+ "Controlla il modo in cui viene utilizzato il seme durante la generazione dei prompt.",
+ "Per iterazione utilizzerà un seme univoco per ogni iterazione. Usalo per esplorare variazioni del prompt su un singolo seme.",
+ "Ad esempio, se hai 5 prompt, ogni immagine utilizzerà lo stesso seme.",
+ "Per immagine utilizzerà un seme univoco per ogni immagine. Ciò fornisce più variazione."
+ ],
+ "heading": "Comportamento del seme"
+ },
+ "paramModel": {
+ "heading": "Modello",
+ "paragraphs": [
+ "Modello utilizzato per i passaggi di riduzione del rumore.",
+ "Diversi modelli sono generalmente addestrati per specializzarsi nella produzione di particolari risultati e contenuti estetici."
+ ]
+ },
+ "paramDenoisingStrength": {
+ "paragraphs": [
+ "Quanto rumore viene aggiunto all'immagine in ingresso.",
+ "0 risulterà in un'immagine identica, mentre 1 risulterà in un'immagine completamente nuova."
+ ],
+ "heading": "Forza di riduzione del rumore"
+ },
+ "dynamicPromptsMaxPrompts": {
+ "heading": "Numero massimo di prompt",
+ "paragraphs": [
+ "Limita il numero di prompt che possono essere generati da Prompt Dinamici."
+ ]
+ },
+ "infillMethod": {
+ "paragraphs": [
+ "Metodo per riempire l'area selezionata."
+ ],
+ "heading": "Metodo di riempimento"
+ },
+ "controlNetWeight": {
+ "heading": "Peso",
+ "paragraphs": [
+ "Quanto forte sarà l'impatto di ControlNet sull'immagine generata."
+ ]
+ },
+ "paramCFGScale": {
+ "heading": "Scala CFG",
+ "paragraphs": [
+ "Controlla quanto il tuo prompt influenza il processo di generazione."
+ ]
+ },
+ "controlNetControlMode": {
+ "paragraphs": [
+ "Attribuisce più peso al prompt o a ControlNet."
+ ],
+ "heading": "Modalità di controllo"
+ },
+ "paramSteps": {
+ "heading": "Passi",
+ "paragraphs": [
+ "Numero di passi che verranno eseguiti in ogni generazione.",
+ "Un numero di passi più elevato generalmente creerà immagini migliori ma richiederà più tempo di generazione."
+ ]
+ },
+ "lora": {
+ "heading": "Peso LoRA",
+ "paragraphs": [
+ "Un peso LoRA più elevato porterà a impatti maggiori sull'immagine finale."
+ ]
+ },
+ "controlNet": {
+ "paragraphs": [
+ "ControlNet fornisce una guida al processo di generazione, aiutando a creare immagini con composizione, struttura o stile controllati, a seconda del modello selezionato."
+ ]
+ }
+ },
+ "sdxl": {
+ "selectAModel": "Seleziona un modello",
+ "scheduler": "Campionatore",
+ "noModelsAvailable": "Nessun modello disponibile",
+ "denoisingStrength": "Forza di riduzione del rumore",
+ "concatPromptStyle": "Concatena Prompt & Stile",
+ "loading": "Caricamento...",
+ "steps": "Passi",
+ "refinerStart": "Inizio Affinamento",
+ "cfgScale": "Scala CFG",
+ "negStylePrompt": "Prompt Stile negativo",
+ "refiner": "Affinatore",
+ "negAestheticScore": "Punteggio estetico negativo",
+ "useRefiner": "Utilizza l'affinatore",
+ "refinermodel": "Modello Affinatore",
+ "posAestheticScore": "Punteggio estetico positivo",
+ "posStylePrompt": "Prompt Stile positivo"
+ },
+ "metadata": {
+ "initImage": "Immagine iniziale",
+ "seamless": "Senza giunture",
+ "positivePrompt": "Prompt positivo",
+ "negativePrompt": "Prompt negativo",
+ "generationMode": "Modalità generazione",
+ "Threshold": "Livello di soglia del rumore",
+ "metadata": "Metadati",
+ "strength": "Forza Immagine a Immagine",
+ "seed": "Seme",
+ "imageDetails": "Dettagli dell'immagine",
+ "perlin": "Rumore Perlin",
+ "model": "Modello",
+ "noImageDetails": "Nessun dettaglio dell'immagine trovato",
+ "hiresFix": "Ottimizzazione Alta Risoluzione",
+ "cfgScale": "Scala CFG",
+ "fit": "Adatta Immagine a Immagine",
+ "height": "Altezza",
+ "variations": "Coppie Peso-Seme",
+ "noMetaData": "Nessun metadato trovato",
+ "width": "Larghezza",
+ "createdBy": "Creato da",
+ "workflow": "Flusso di lavoro",
+ "steps": "Passi",
+ "scheduler": "Campionatore"
}
}
diff --git a/invokeai/frontend/web/dist/locales/ja.json b/invokeai/frontend/web/dist/locales/ja.json
index 007aa9b491..a53ea50b46 100644
--- a/invokeai/frontend/web/dist/locales/ja.json
+++ b/invokeai/frontend/web/dist/locales/ja.json
@@ -1,12 +1,8 @@
{
"common": {
- "themeLabel": "テーマ",
"languagePickerLabel": "言語選択",
"reportBugLabel": "バグ報告",
"settingsLabel": "設定",
- "darkTheme": "ダーク",
- "lightTheme": "ライト",
- "greenTheme": "緑",
"langJapanese": "日本語",
"nodesDesc": "現在、画像生成のためのノードベースシステムを開発中です。機能についてのアップデートにご期待ください。",
"postProcessing": "後処理",
@@ -56,14 +52,12 @@
"loadingInvokeAI": "Invoke AIをロード中",
"statusConvertingModel": "モデルの変換",
"statusMergedModels": "マージ済モデル",
- "pinOptionsPanel": "オプションパネルを固定",
"githubLabel": "Github",
"hotkeysLabel": "ホットキー",
"langHebrew": "עברית",
"discordLabel": "Discord",
"langItalian": "Italiano",
"langEnglish": "English",
- "oceanTheme": "オーシャン",
"langArabic": "アラビア語",
"langDutch": "Nederlands",
"langFrench": "Français",
@@ -83,7 +77,6 @@
"gallerySettings": "ギャラリーの設定",
"maintainAspectRatio": "アスペクト比を維持",
"singleColumnLayout": "1カラムレイアウト",
- "pinGallery": "ギャラリーにピン留め",
"allImagesLoaded": "すべての画像を読み込む",
"loadMore": "さらに読み込む",
"noImagesInGallery": "ギャラリーに画像がありません",
@@ -355,7 +348,6 @@
"useSeed": "シード値を使用",
"useAll": "すべてを使用",
"info": "情報",
- "deleteImage": "画像を削除",
"showOptionsPanel": "オプションパネルを表示"
},
"settings": {
@@ -364,7 +356,6 @@
"saveSteps": "nステップごとに画像を保存",
"confirmOnDelete": "削除時に確認",
"displayHelpIcons": "ヘルプアイコンを表示",
- "useCanvasBeta": "キャンバスレイアウト(Beta)を使用する",
"enableImageDebugging": "画像のデバッグを有効化",
"resetWebUI": "WebUIをリセット",
"resetWebUIDesc1": "WebUIのリセットは、画像と保存された設定のキャッシュをリセットするだけです。画像を削除するわけではありません。",
@@ -373,7 +364,6 @@
},
"toast": {
"uploadFailed": "アップロード失敗",
- "uploadFailedMultipleImagesDesc": "一度にアップロードできる画像は1枚のみです。",
"uploadFailedUnableToLoadDesc": "ファイルを読み込むことができません。",
"downloadImageStarted": "画像ダウンロード開始",
"imageCopied": "画像をコピー",
@@ -471,7 +461,6 @@
"toggleAutoscroll": "自動スクロールの切替",
"modifyConfig": "Modify Config",
"toggleLogViewer": "Log Viewerの切替",
- "showGallery": "ギャラリーを表示",
"showOptionsPanel": "オプションパネルを表示"
}
}
diff --git a/invokeai/frontend/web/dist/locales/ko.json b/invokeai/frontend/web/dist/locales/ko.json
index 47cde5fec3..8baab54ac9 100644
--- a/invokeai/frontend/web/dist/locales/ko.json
+++ b/invokeai/frontend/web/dist/locales/ko.json
@@ -1,13 +1,9 @@
{
"common": {
- "themeLabel": "테마 설정",
"languagePickerLabel": "언어 설정",
"reportBugLabel": "버그 리포트",
"githubLabel": "Github",
"settingsLabel": "설정",
- "darkTheme": "다크 모드",
- "lightTheme": "라이트 모드",
- "greenTheme": "그린 모드",
"langArabic": "العربية",
"langEnglish": "English",
"langDutch": "Nederlands",
diff --git a/invokeai/frontend/web/dist/locales/nl.json b/invokeai/frontend/web/dist/locales/nl.json
index 230e3b5b64..f682886dae 100644
--- a/invokeai/frontend/web/dist/locales/nl.json
+++ b/invokeai/frontend/web/dist/locales/nl.json
@@ -1,16 +1,12 @@
{
"common": {
"hotkeysLabel": "Sneltoetsen",
- "themeLabel": "Thema",
- "languagePickerLabel": "Taalkeuze",
+ "languagePickerLabel": "Taal",
"reportBugLabel": "Meld bug",
"settingsLabel": "Instellingen",
- "darkTheme": "Donker",
- "lightTheme": "Licht",
- "greenTheme": "Groen",
"img2img": "Afbeelding naar afbeelding",
"unifiedCanvas": "Centraal canvas",
- "nodes": "Knooppunten",
+ "nodes": "Werkstroom-editor",
"langDutch": "Nederlands",
"nodesDesc": "Een op knooppunten gebaseerd systeem voor het genereren van afbeeldingen is momenteel in ontwikkeling. Blijf op de hoogte voor nieuws over deze verbluffende functie.",
"postProcessing": "Naverwerking",
@@ -65,15 +61,25 @@
"statusMergedModels": "Modellen samengevoegd",
"cancel": "Annuleer",
"accept": "Akkoord",
- "langPortuguese": "Português",
- "pinOptionsPanel": "Zet deelscherm Opties vast",
+ "langPortuguese": "Portugees",
"loading": "Bezig met laden",
"loadingInvokeAI": "Bezig met laden van Invoke AI",
- "oceanTheme": "Oceaan",
"langHebrew": "עברית",
"langKorean": "한국어",
"txt2img": "Tekst naar afbeelding",
- "postprocessing": "Nabewerking"
+ "postprocessing": "Naverwerking",
+ "dontAskMeAgain": "Vraag niet opnieuw",
+ "imagePrompt": "Afbeeldingsprompt",
+ "random": "Willekeurig",
+ "generate": "Genereer",
+ "openInNewTab": "Open in nieuw tabblad",
+ "areYouSure": "Weet je het zeker?",
+ "linear": "Lineair",
+ "batch": "Seriebeheer",
+ "modelManager": "Modelbeheer",
+ "darkMode": "Donkere modus",
+ "lightMode": "Lichte modus",
+ "communityLabel": "Gemeenschap"
},
"gallery": {
"generations": "Gegenereerde afbeeldingen",
@@ -86,10 +92,15 @@
"maintainAspectRatio": "Behoud beeldverhoiding",
"autoSwitchNewImages": "Wissel autom. naar nieuwe afbeeldingen",
"singleColumnLayout": "Eenkolomsindeling",
- "pinGallery": "Zet galerij vast",
"allImagesLoaded": "Alle afbeeldingen geladen",
"loadMore": "Laad meer",
- "noImagesInGallery": "Geen afbeeldingen in galerij"
+ "noImagesInGallery": "Geen afbeeldingen om te tonen",
+ "deleteImage": "Wis afbeelding",
+ "deleteImageBin": "Gewiste afbeeldingen worden naar de prullenbak van je besturingssysteem gestuurd.",
+ "deleteImagePermanent": "Gewiste afbeeldingen kunnen niet worden hersteld.",
+ "assets": "Eigen onderdelen",
+ "images": "Afbeeldingen",
+ "autoAssignBoardOnClick": "Ken automatisch bord toe bij klikken"
},
"hotkeys": {
"keyboardShortcuts": "Sneltoetsen",
@@ -296,7 +307,12 @@
"acceptStagingImage": {
"title": "Accepteer sessie-afbeelding",
"desc": "Accepteert de huidige sessie-afbeelding"
- }
+ },
+ "addNodes": {
+ "title": "Voeg knooppunten toe",
+ "desc": "Opent het menu Voeg knooppunt toe"
+ },
+ "nodesHotkeys": "Sneltoetsen knooppunten"
},
"modelManager": {
"modelManager": "Modelonderhoud",
@@ -348,12 +364,12 @@
"delete": "Verwijder",
"deleteModel": "Verwijder model",
"deleteConfig": "Verwijder configuratie",
- "deleteMsg1": "Weet je zeker dat je deze modelregel wilt verwijderen uit InvokeAI?",
- "deleteMsg2": "Hiermee wordt het checkpointbestand niet van je schijf verwijderd. Je kunt deze opnieuw toevoegen als je dat wilt.",
+ "deleteMsg1": "Weet je zeker dat je dit model wilt verwijderen uit InvokeAI?",
+ "deleteMsg2": "Hiermee ZAL het model van schijf worden verwijderd als het zich bevindt in de InvokeAI-beginmap. Als je het model vanaf een eigen locatie gebruikt, dan ZAL het model NIET van schijf worden verwijderd.",
"formMessageDiffusersVAELocationDesc": "Indien niet opgegeven, dan zal InvokeAI kijken naar het VAE-bestand in de hierboven gegeven modellocatie.",
"repoIDValidationMsg": "Online repository van je model",
"formMessageDiffusersModelLocation": "Locatie Diffusers-model",
- "convertToDiffusersHelpText3": "Je Checkpoint-bestand op schijf zal NIET worden verwijderd of gewijzigd. Je kunt je Checkpoint opnieuw toevoegen aan Modelonderhoud als je dat wilt.",
+ "convertToDiffusersHelpText3": "Je checkpoint-bestand op schijf ZAL worden verwijderd als het zich in de InvokeAI root map bevindt. Het zal NIET worden verwijderd als het zich in een andere locatie bevindt.",
"convertToDiffusersHelpText6": "Wil je dit model omzetten?",
"allModels": "Alle modellen",
"checkpointModels": "Checkpoints",
@@ -371,7 +387,7 @@
"convertToDiffusersHelpText1": "Dit model wordt omgezet naar de🧨 Diffusers-indeling.",
"convertToDiffusersHelpText2": "Dit proces vervangt het onderdeel in Modelonderhoud met de Diffusers-versie van hetzelfde model.",
"convertToDiffusersHelpText4": "Dit is een eenmalig proces. Dit neemt ongeveer 30 tot 60 sec. in beslag, afhankelijk van de specificaties van je computer.",
- "convertToDiffusersHelpText5": "Zorg ervoor dat je genoeg schijfruimte hebt. Modellen nemen gewoonlijk ongeveer 4 - 7 GB ruimte in beslag.",
+ "convertToDiffusersHelpText5": "Zorg ervoor dat je genoeg schijfruimte hebt. Modellen nemen gewoonlijk ongeveer 2 tot 7 GB ruimte in beslag.",
"convertToDiffusersSaveLocation": "Bewaarlocatie",
"v1": "v1",
"inpainting": "v1-inpainting",
@@ -408,7 +424,27 @@
"none": "geen",
"addDifference": "Voeg verschil toe",
"scanForModels": "Scan naar modellen",
- "pickModelType": "Kies modelsoort"
+ "pickModelType": "Kies modelsoort",
+ "baseModel": "Basismodel",
+ "vae": "VAE",
+ "variant": "Variant",
+ "modelConversionFailed": "Omzetten model mislukt",
+ "modelUpdateFailed": "Bijwerken model mislukt",
+ "modelsMergeFailed": "Samenvoegen model mislukt",
+ "selectModel": "Kies model",
+ "settings": "Instellingen",
+ "modelDeleted": "Model verwijderd",
+ "noCustomLocationProvided": "Geen Aangepaste Locatie Opgegeven",
+ "syncModels": "Synchroniseer Modellen",
+ "modelsSynced": "Modellen Gesynchroniseerd",
+ "modelSyncFailed": "Synchronisatie Modellen Gefaald",
+ "modelDeleteFailed": "Model kon niet verwijderd worden",
+ "convertingModelBegin": "Model aan het converteren. Even geduld.",
+ "importModels": "Importeer Modellen",
+ "syncModelsDesc": "Als je modellen niet meer synchroon zijn met de backend, kan je ze met deze optie verversen. Dit wordt typisch gebruikt in het geval je het models.yaml bestand met de hand bewerkt of als je modellen aan de InvokeAI root map toevoegt nadat de applicatie gestart werd.",
+ "loraModels": "LoRA's",
+ "onnxModels": "Onnx",
+ "oliveModels": "Olives"
},
"parameters": {
"images": "Afbeeldingen",
@@ -416,10 +452,9 @@
"cfgScale": "CFG-schaal",
"width": "Breedte",
"height": "Hoogte",
- "sampler": "Sampler",
"seed": "Seed",
"randomizeSeed": "Willekeurige seed",
- "shuffle": "Meng",
+ "shuffle": "Mengseed",
"noiseThreshold": "Drempelwaarde ruis",
"perlinNoise": "Perlinruis",
"variations": "Variaties",
@@ -438,10 +473,6 @@
"hiresOptim": "Hogeresolutie-optimalisatie",
"imageFit": "Pas initiële afbeelding in uitvoergrootte",
"codeformerFidelity": "Getrouwheid",
- "seamSize": "Grootte naad",
- "seamBlur": "Vervaging naad",
- "seamStrength": "Sterkte naad",
- "seamSteps": "Stappen naad",
"scaleBeforeProcessing": "Schalen voor verwerking",
"scaledWidth": "Geschaalde B",
"scaledHeight": "Geschaalde H",
@@ -452,8 +483,6 @@
"infillScalingHeader": "Infill en schaling",
"img2imgStrength": "Sterkte Afbeelding naar afbeelding",
"toggleLoopback": "Zet recursieve verwerking aan/uit",
- "invoke": "Genereer",
- "promptPlaceholder": "Voer invoertekst hier in. [negatieve trefwoorden], (verhoogdgewicht)++, (verlaagdgewicht)--, swap (wisselen) en blend (mengen) zijn beschikbaar (zie documentatie)",
"sendTo": "Stuur naar",
"sendToImg2Img": "Stuur naar Afbeelding naar afbeelding",
"sendToUnifiedCanvas": "Stuur naar Centraal canvas",
@@ -466,7 +495,6 @@
"useAll": "Hergebruik alles",
"useInitImg": "Gebruik initiële afbeelding",
"info": "Info",
- "deleteImage": "Verwijder afbeelding",
"initialImage": "Initiële afbeelding",
"showOptionsPanel": "Toon deelscherm Opties",
"symmetry": "Symmetrie",
@@ -478,37 +506,72 @@
"setType": "Stel annuleervorm in",
"schedule": "Annuleer na huidige iteratie"
},
- "negativePrompts": "Negatieve invoer",
"general": "Algemeen",
"copyImage": "Kopieer afbeelding",
"imageToImage": "Afbeelding naar afbeelding",
"denoisingStrength": "Sterkte ontruisen",
- "hiresStrength": "Sterkte hogere resolutie"
+ "hiresStrength": "Sterkte hogere resolutie",
+ "scheduler": "Planner",
+ "noiseSettings": "Ruis",
+ "seamlessXAxis": "X-as",
+ "seamlessYAxis": "Y-as",
+ "hidePreview": "Verberg voorvertoning",
+ "showPreview": "Toon voorvertoning",
+ "boundingBoxWidth": "Tekenvak breedte",
+ "boundingBoxHeight": "Tekenvak hoogte",
+ "clipSkip": "Overslaan CLIP",
+ "aspectRatio": "Verhouding",
+ "negativePromptPlaceholder": "Negatieve prompt",
+ "controlNetControlMode": "Aansturingsmodus",
+ "positivePromptPlaceholder": "Positieve prompt",
+ "maskAdjustmentsHeader": "Maskeraanpassingen",
+ "compositingSettingsHeader": "Instellingen afbeeldingsopbouw",
+ "coherencePassHeader": "Coherentiestap",
+ "maskBlur": "Vervaag",
+ "maskBlurMethod": "Vervagingsmethode",
+ "coherenceSteps": "Stappen",
+ "coherenceStrength": "Sterkte",
+ "seamHighThreshold": "Hoog",
+ "seamLowThreshold": "Laag"
},
"settings": {
"models": "Modellen",
- "displayInProgress": "Toon afbeeldingen gedurende verwerking",
+ "displayInProgress": "Toon voortgangsafbeeldingen",
"saveSteps": "Bewaar afbeeldingen elke n stappen",
"confirmOnDelete": "Bevestig bij verwijderen",
"displayHelpIcons": "Toon hulppictogrammen",
- "useCanvasBeta": "Gebruik bètavormgeving van canvas",
"enableImageDebugging": "Schakel foutopsporing afbeelding in",
"resetWebUI": "Herstel web-UI",
"resetWebUIDesc1": "Herstel web-UI herstelt alleen de lokale afbeeldingscache en de onthouden instellingen van je browser. Het verwijdert geen afbeeldingen van schijf.",
"resetWebUIDesc2": "Als afbeeldingen niet getoond worden in de galerij of iets anders werkt niet, probeer dan eerst deze herstelfunctie voordat je een fout aanmeldt op GitHub.",
- "resetComplete": "Webgebruikersinterface is hersteld. Vernieuw de pasgina om opnieuw te laden.",
- "useSlidersForAll": "Gebruik schuifbalken voor alle opties"
+ "resetComplete": "Webgebruikersinterface is hersteld.",
+ "useSlidersForAll": "Gebruik schuifbalken voor alle opties",
+ "consoleLogLevel": "Logboekniveau",
+ "shouldLogToConsole": "Schrijf logboek naar console",
+ "developer": "Ontwikkelaar",
+ "general": "Algemeen",
+ "showProgressInViewer": "Toon voortgangsafbeeldingen in viewer",
+ "generation": "Generatie",
+ "ui": "Gebruikersinterface",
+ "antialiasProgressImages": "Voer anti-aliasing uit op voortgangsafbeeldingen",
+ "showAdvancedOptions": "Toon uitgebreide opties",
+ "favoriteSchedulers": "Favoriete planners",
+ "favoriteSchedulersPlaceholder": "Geen favoriete planners ingesteld",
+ "beta": "Bèta",
+ "experimental": "Experimenteel",
+ "alternateCanvasLayout": "Omwisselen Canvas Layout",
+ "enableNodesEditor": "Knopen Editor Inschakelen",
+ "autoChangeDimensions": "Werk bij wijziging afmetingen bij naar modelstandaard"
},
"toast": {
"tempFoldersEmptied": "Tijdelijke map geleegd",
"uploadFailed": "Upload mislukt",
- "uploadFailedMultipleImagesDesc": "Meerdere afbeeldingen geplakt, slechts een afbeelding per keer toegestaan",
"uploadFailedUnableToLoadDesc": "Kan bestand niet laden",
"downloadImageStarted": "Afbeeldingsdownload gestart",
"imageCopied": "Afbeelding gekopieerd",
"imageLinkCopied": "Afbeeldingskoppeling gekopieerd",
"imageNotLoaded": "Geen afbeelding geladen",
- "imageNotLoadedDesc": "Geen afbeelding gevonden om te sturen naar de module Afbeelding naar afbeelding",
+ "imageNotLoadedDesc": "Geen afbeeldingen gevonden",
"imageSavedToGallery": "Afbeelding opgeslagen naar galerij",
"canvasMerged": "Canvas samengevoegd",
"sentToImageToImage": "Gestuurd naar Afbeelding naar afbeelding",
@@ -529,7 +592,25 @@
"metadataLoadFailed": "Fout bij laden metagegevens",
"initialImageSet": "Initiële afbeelding ingesteld",
"initialImageNotSet": "Initiële afbeelding niet ingesteld",
- "initialImageNotSetDesc": "Kan initiële afbeelding niet laden"
+ "initialImageNotSetDesc": "Kan initiële afbeelding niet laden",
+ "serverError": "Serverfout",
+ "disconnected": "Verbinding met server verbroken",
+ "connected": "Verbonden met server",
+ "canceled": "Verwerking geannuleerd",
+ "uploadFailedInvalidUploadDesc": "Moet een enkele PNG- of JPEG-afbeelding zijn",
+ "problemCopyingImageLink": "Kan afbeeldingslink niet kopiëren",
+ "parameterNotSet": "Parameter niet ingesteld",
+ "parameterSet": "Instellen parameters",
+ "nodesSaved": "Knooppunten bewaard",
+ "nodesLoaded": "Knooppunten geladen",
+ "nodesCleared": "Knooppunten weggehaald",
+ "nodesLoadedFailed": "Laden knooppunten mislukt",
+ "problemCopyingImage": "Kan Afbeelding Niet Kopiëren",
+ "nodesNotValidJSON": "Ongeldige JSON",
+ "nodesCorruptedGraph": "Kan niet laden. Graph lijkt corrupt.",
+ "nodesUnrecognizedTypes": "Laden mislukt. Graph heeft onherkenbare types",
+ "nodesBrokenConnections": "Laden mislukt. Sommige verbindingen zijn verbroken.",
+ "nodesNotValidGraph": "Geen geldige knooppunten graph"
},
"tooltip": {
"feature": {
@@ -603,7 +684,8 @@
"betaClear": "Wis",
"betaDarkenOutside": "Verduister buiten tekenvak",
"betaLimitToBox": "Beperk tot tekenvak",
- "betaPreserveMasked": "Behoud masker"
+ "betaPreserveMasked": "Behoud masker",
+ "antialiasing": "Anti-aliasing"
},
"accessibility": {
"exitViewer": "Stop viewer",
@@ -624,7 +706,30 @@
"modifyConfig": "Wijzig configuratie",
"toggleAutoscroll": "Autom. scrollen aan/uit",
"toggleLogViewer": "Logboekviewer aan/uit",
- "showGallery": "Toon galerij",
- "showOptionsPanel": "Toon deelscherm Opties"
+ "showOptionsPanel": "Toon zijscherm",
+ "menu": "Menu"
+ },
+ "ui": {
+ "showProgressImages": "Toon voortgangsafbeeldingen",
+ "hideProgressImages": "Verberg voortgangsafbeeldingen",
+ "swapSizes": "Wissel afmetingen om",
+ "lockRatio": "Zet verhouding vast"
+ },
+ "nodes": {
+ "zoomOutNodes": "Uitzoomen",
+ "fitViewportNodes": "Aanpassen aan beeld",
+ "hideMinimapnodes": "Minimap verbergen",
+ "showLegendNodes": "Typelegende veld tonen",
+ "zoomInNodes": "Inzoomen",
+ "hideGraphNodes": "Graph overlay verbergen",
+ "showGraphNodes": "Graph overlay tonen",
+ "showMinimapnodes": "Minimap tonen",
+ "hideLegendNodes": "Typelegende veld verbergen",
+ "reloadNodeTemplates": "Herlaad knooppuntsjablonen",
+ "loadWorkflow": "Laad werkstroom",
+ "resetWorkflow": "Herstel werkstroom",
+ "resetWorkflowDesc": "Weet je zeker dat je deze werkstroom wilt herstellen?",
+ "resetWorkflowDesc2": "Herstel van een werkstroom haalt alle knooppunten, randen en werkstroomdetails weg.",
+ "downloadWorkflow": "Download JSON van werkstroom"
}
}
diff --git a/invokeai/frontend/web/dist/locales/pl.json b/invokeai/frontend/web/dist/locales/pl.json
index 246271658a..f77c0c4710 100644
--- a/invokeai/frontend/web/dist/locales/pl.json
+++ b/invokeai/frontend/web/dist/locales/pl.json
@@ -1,13 +1,9 @@
{
"common": {
"hotkeysLabel": "Skróty klawiszowe",
- "themeLabel": "Motyw",
"languagePickerLabel": "Wybór języka",
"reportBugLabel": "Zgłoś błąd",
"settingsLabel": "Ustawienia",
- "darkTheme": "Ciemny",
- "lightTheme": "Jasny",
- "greenTheme": "Zielony",
"img2img": "Obraz na obraz",
"unifiedCanvas": "Tryb uniwersalny",
"nodes": "Węzły",
@@ -43,7 +39,11 @@
"statusUpscaling": "Powiększanie obrazu",
"statusUpscalingESRGAN": "Powiększanie (ESRGAN)",
"statusLoadingModel": "Wczytywanie modelu",
- "statusModelChanged": "Zmieniono model"
+ "statusModelChanged": "Zmieniono model",
+ "githubLabel": "GitHub",
+ "discordLabel": "Discord",
+ "darkMode": "Tryb ciemny",
+ "lightMode": "Tryb jasny"
},
"gallery": {
"generations": "Wygenerowane",
@@ -56,7 +56,6 @@
"maintainAspectRatio": "Zachowaj proporcje",
"autoSwitchNewImages": "Przełączaj na nowe obrazy",
"singleColumnLayout": "Układ jednokolumnowy",
- "pinGallery": "Przypnij galerię",
"allImagesLoaded": "Koniec listy",
"loadMore": "Wczytaj więcej",
"noImagesInGallery": "Brak obrazów w galerii"
@@ -274,7 +273,6 @@
"cfgScale": "Skala CFG",
"width": "Szerokość",
"height": "Wysokość",
- "sampler": "Próbkowanie",
"seed": "Inicjator",
"randomizeSeed": "Losowy inicjator",
"shuffle": "Losuj",
@@ -296,10 +294,6 @@
"hiresOptim": "Optymalizacja wys. rozdzielczości",
"imageFit": "Przeskaluj oryginalny obraz",
"codeformerFidelity": "Dokładność",
- "seamSize": "Rozmiar",
- "seamBlur": "Rozmycie",
- "seamStrength": "Siła",
- "seamSteps": "Kroki",
"scaleBeforeProcessing": "Tryb skalowania",
"scaledWidth": "Sk. do szer.",
"scaledHeight": "Sk. do wys.",
@@ -310,8 +304,6 @@
"infillScalingHeader": "Wypełnienie i skalowanie",
"img2imgStrength": "Wpływ sugestii na obraz",
"toggleLoopback": "Wł/wył sprzężenie zwrotne",
- "invoke": "Wywołaj",
- "promptPlaceholder": "W tym miejscu wprowadź swoje sugestie. [negatywne sugestie], (wzmocnienie), (osłabienie)--, po więcej opcji (np. swap lub blend) zajrzyj do dokumentacji",
"sendTo": "Wyślij do",
"sendToImg2Img": "Użyj w trybie \"Obraz na obraz\"",
"sendToUnifiedCanvas": "Użyj w trybie uniwersalnym",
@@ -324,7 +316,6 @@
"useAll": "Skopiuj wszystko",
"useInitImg": "Użyj oryginalnego obrazu",
"info": "Informacje",
- "deleteImage": "Usuń obraz",
"initialImage": "Oryginalny obraz",
"showOptionsPanel": "Pokaż panel ustawień"
},
@@ -334,7 +325,6 @@
"saveSteps": "Zapisuj obrazy co X kroków",
"confirmOnDelete": "Potwierdzaj usuwanie",
"displayHelpIcons": "Wyświetlaj ikony pomocy",
- "useCanvasBeta": "Nowy układ trybu uniwersalnego",
"enableImageDebugging": "Włącz debugowanie obrazu",
"resetWebUI": "Zresetuj interfejs",
"resetWebUIDesc1": "Resetowanie interfejsu wyczyści jedynie dane i ustawienia zapisane w pamięci przeglądarki. Nie usunie żadnych obrazów z dysku.",
@@ -344,7 +334,6 @@
"toast": {
"tempFoldersEmptied": "Wyczyszczono folder tymczasowy",
"uploadFailed": "Błąd przesyłania obrazu",
- "uploadFailedMultipleImagesDesc": "Możliwe jest przesłanie tylko jednego obrazu na raz",
"uploadFailedUnableToLoadDesc": "Błąd wczytywania obrazu",
"downloadImageStarted": "Rozpoczęto pobieranie",
"imageCopied": "Skopiowano obraz",
@@ -446,5 +435,27 @@
"betaDarkenOutside": "Przyciemnienie",
"betaLimitToBox": "Ogranicz do zaznaczenia",
"betaPreserveMasked": "Zachowaj obszar"
+ },
+ "accessibility": {
+ "zoomIn": "Przybliż",
+ "exitViewer": "Wyjdź z podglądu",
+ "modelSelect": "Wybór modelu",
+ "invokeProgressBar": "Pasek postępu",
+ "reset": "Zerowanie",
+ "useThisParameter": "Użyj tego parametru",
+ "copyMetadataJson": "Kopiuj metadane JSON",
+ "uploadImage": "Wgrywanie obrazu",
+ "previousImage": "Poprzedni obraz",
+ "nextImage": "Następny obraz",
+ "zoomOut": "Oddal",
+ "rotateClockwise": "Obróć zgodnie ze wskazówkami zegara",
+ "rotateCounterClockwise": "Obróć przeciwnie do wskazówek zegara",
+ "flipHorizontally": "Odwróć horyzontalnie",
+ "flipVertically": "Odwróć wertykalnie",
+ "modifyConfig": "Modyfikuj ustawienia",
+ "toggleAutoscroll": "Przełącz autoprzewijanie",
+ "toggleLogViewer": "Przełącz podgląd logów",
+ "showOptionsPanel": "Pokaż panel opcji",
+ "menu": "Menu"
}
}
diff --git a/invokeai/frontend/web/dist/locales/pt.json b/invokeai/frontend/web/dist/locales/pt.json
index 6d19e3ad92..ac9dd50b4d 100644
--- a/invokeai/frontend/web/dist/locales/pt.json
+++ b/invokeai/frontend/web/dist/locales/pt.json
@@ -1,11 +1,8 @@
{
"common": {
- "greenTheme": "Verde",
"langArabic": "العربية",
- "themeLabel": "Tema",
"reportBugLabel": "Reportar Bug",
"settingsLabel": "Configurações",
- "lightTheme": "Claro",
"langBrPortuguese": "Português do Brasil",
"languagePickerLabel": "Seletor de Idioma",
"langDutch": "Nederlands",
@@ -57,14 +54,11 @@
"statusModelChanged": "Modelo Alterado",
"githubLabel": "Github",
"discordLabel": "Discord",
- "darkTheme": "Escuro",
"training": "Treinando",
"statusGeneratingOutpainting": "Geração de Ampliação",
"statusGenerationComplete": "Geração Completa",
"statusMergingModels": "Mesclando Modelos",
"statusMergedModels": "Modelos Mesclados",
- "oceanTheme": "Oceano",
- "pinOptionsPanel": "Fixar painel de opções",
"loading": "A carregar",
"loadingInvokeAI": "A carregar Invoke AI",
"langPortuguese": "Português"
@@ -74,7 +68,6 @@
"gallerySettings": "Configurações de Galeria",
"maintainAspectRatio": "Mater Proporções",
"autoSwitchNewImages": "Trocar para Novas Imagens Automaticamente",
- "pinGallery": "Fixar Galeria",
"singleColumnLayout": "Disposição em Coluna Única",
"allImagesLoaded": "Todas as Imagens Carregadas",
"loadMore": "Carregar Mais",
@@ -407,7 +400,6 @@
"width": "Largura",
"seed": "Seed",
"hiresStrength": "Força da Alta Resolução",
- "negativePrompts": "Indicações negativas",
"general": "Geral",
"randomizeSeed": "Seed Aleatório",
"shuffle": "Embaralhar",
@@ -425,10 +417,6 @@
"hiresOptim": "Otimização de Alta Res",
"imageFit": "Caber Imagem Inicial No Tamanho de Saída",
"codeformerFidelity": "Fidelidade",
- "seamSize": "Tamanho da Fronteira",
- "seamBlur": "Desfoque da Fronteira",
- "seamStrength": "Força da Fronteira",
- "seamSteps": "Passos da Fronteira",
"tileSize": "Tamanho do Ladrilho",
"boundingBoxHeader": "Caixa Delimitadora",
"seamCorrectionHeader": "Correção de Fronteira",
@@ -436,12 +424,10 @@
"img2imgStrength": "Força de Imagem Para Imagem",
"toggleLoopback": "Ativar Loopback",
"symmetry": "Simetria",
- "promptPlaceholder": "Digite o prompt aqui. [tokens negativos], (upweight)++, (downweight)--, trocar e misturar estão disponíveis (veja docs)",
"sendTo": "Mandar para",
"openInViewer": "Abrir No Visualizador",
"closeViewer": "Fechar Visualizador",
"usePrompt": "Usar Prompt",
- "deleteImage": "Apagar Imagem",
"initialImage": "Imagem inicial",
"showOptionsPanel": "Mostrar Painel de Opções",
"strength": "Força",
@@ -449,12 +435,10 @@
"upscale": "Redimensionar",
"upscaleImage": "Redimensionar Imagem",
"scaleBeforeProcessing": "Escala Antes do Processamento",
- "invoke": "Invocar",
"images": "Imagems",
"steps": "Passos",
"cfgScale": "Escala CFG",
"height": "Altura",
- "sampler": "Amostrador",
"imageToImage": "Imagem para Imagem",
"variationAmount": "Quntidade de Variatções",
"scaledWidth": "L Escalada",
@@ -481,7 +465,6 @@
"settings": {
"confirmOnDelete": "Confirmar Antes de Apagar",
"displayHelpIcons": "Mostrar Ícones de Ajuda",
- "useCanvasBeta": "Usar Layout de Telas Beta",
"enableImageDebugging": "Ativar Depuração de Imagem",
"useSlidersForAll": "Usar deslizadores para todas as opções",
"resetWebUIDesc1": "Reiniciar a interface apenas reinicia o cache local do broswer para imagens e configurações lembradas. Não apaga nenhuma imagem do disco.",
@@ -494,7 +477,6 @@
},
"toast": {
"uploadFailed": "Envio Falhou",
- "uploadFailedMultipleImagesDesc": "Várias imagens copiadas, só é permitido uma imagem de cada vez",
"uploadFailedUnableToLoadDesc": "Não foj possível carregar o ficheiro",
"downloadImageStarted": "Download de Imagem Começou",
"imageNotLoadedDesc": "Nenhuma imagem encontrada a enviar para o módulo de imagem para imagem",
@@ -611,7 +593,6 @@
"flipVertically": "Espelhar verticalmente",
"modifyConfig": "Modificar config",
"toggleAutoscroll": "Alternar rolagem automática",
- "showGallery": "Mostrar galeria",
"showOptionsPanel": "Mostrar painel de opções",
"uploadImage": "Enviar imagem",
"previousImage": "Imagem anterior",
diff --git a/invokeai/frontend/web/dist/locales/pt_BR.json b/invokeai/frontend/web/dist/locales/pt_BR.json
index e77ef14719..3b45dbbbf3 100644
--- a/invokeai/frontend/web/dist/locales/pt_BR.json
+++ b/invokeai/frontend/web/dist/locales/pt_BR.json
@@ -1,13 +1,9 @@
{
"common": {
"hotkeysLabel": "Teclas de atalho",
- "themeLabel": "Tema",
"languagePickerLabel": "Seletor de Idioma",
"reportBugLabel": "Relatar Bug",
"settingsLabel": "Configurações",
- "darkTheme": "Noite",
- "lightTheme": "Dia",
- "greenTheme": "Verde",
"img2img": "Imagem Para Imagem",
"unifiedCanvas": "Tela Unificada",
"nodes": "Nódulos",
@@ -63,7 +59,6 @@
"statusMergedModels": "Modelos Mesclados",
"langRussian": "Russo",
"langSpanish": "Espanhol",
- "pinOptionsPanel": "Fixar painel de opções",
"loadingInvokeAI": "Carregando Invoke AI",
"loading": "Carregando"
},
@@ -78,7 +73,6 @@
"maintainAspectRatio": "Mater Proporções",
"autoSwitchNewImages": "Trocar para Novas Imagens Automaticamente",
"singleColumnLayout": "Disposição em Coluna Única",
- "pinGallery": "Fixar Galeria",
"allImagesLoaded": "Todas as Imagens Carregadas",
"loadMore": "Carregar Mais",
"noImagesInGallery": "Sem Imagens na Galeria"
@@ -402,7 +396,6 @@
"cfgScale": "Escala CFG",
"width": "Largura",
"height": "Altura",
- "sampler": "Amostrador",
"seed": "Seed",
"randomizeSeed": "Seed Aleatório",
"shuffle": "Embaralhar",
@@ -424,10 +417,6 @@
"hiresOptim": "Otimização de Alta Res",
"imageFit": "Caber Imagem Inicial No Tamanho de Saída",
"codeformerFidelity": "Fidelidade",
- "seamSize": "Tamanho da Fronteira",
- "seamBlur": "Desfoque da Fronteira",
- "seamStrength": "Força da Fronteira",
- "seamSteps": "Passos da Fronteira",
"scaleBeforeProcessing": "Escala Antes do Processamento",
"scaledWidth": "L Escalada",
"scaledHeight": "A Escalada",
@@ -438,8 +427,6 @@
"infillScalingHeader": "Preencimento e Escala",
"img2imgStrength": "Força de Imagem Para Imagem",
"toggleLoopback": "Ativar Loopback",
- "invoke": "Invoke",
- "promptPlaceholder": "Digite o prompt aqui. [tokens negativos], (upweight)++, (downweight)--, trocar e misturar estão disponíveis (veja docs)",
"sendTo": "Mandar para",
"sendToImg2Img": "Mandar para Imagem Para Imagem",
"sendToUnifiedCanvas": "Mandar para Tela Unificada",
@@ -452,14 +439,12 @@
"useAll": "Usar Todos",
"useInitImg": "Usar Imagem Inicial",
"info": "Informações",
- "deleteImage": "Apagar Imagem",
"initialImage": "Imagem inicial",
"showOptionsPanel": "Mostrar Painel de Opções",
"vSymmetryStep": "V Passo de Simetria",
"hSymmetryStep": "H Passo de Simetria",
"symmetry": "Simetria",
"copyImage": "Copiar imagem",
- "negativePrompts": "Indicações negativas",
"hiresStrength": "Força da Alta Resolução",
"denoisingStrength": "A força de remoção de ruído",
"imageToImage": "Imagem para Imagem",
@@ -477,7 +462,6 @@
"saveSteps": "Salvar imagens a cada n passos",
"confirmOnDelete": "Confirmar Antes de Apagar",
"displayHelpIcons": "Mostrar Ícones de Ajuda",
- "useCanvasBeta": "Usar Layout de Telas Beta",
"enableImageDebugging": "Ativar Depuração de Imagem",
"resetWebUI": "Reiniciar Interface",
"resetWebUIDesc1": "Reiniciar a interface apenas reinicia o cache local do broswer para imagens e configurações lembradas. Não apaga nenhuma imagem do disco.",
@@ -488,7 +472,6 @@
"toast": {
"tempFoldersEmptied": "Pasta de Arquivos Temporários Esvaziada",
"uploadFailed": "Envio Falhou",
- "uploadFailedMultipleImagesDesc": "Várias imagens copiadas, só é permitido uma imagem de cada vez",
"uploadFailedUnableToLoadDesc": "Não foj possível carregar o arquivo",
"downloadImageStarted": "Download de Imagem Começou",
"imageCopied": "Imagem Copiada",
diff --git a/invokeai/frontend/web/dist/locales/ru.json b/invokeai/frontend/web/dist/locales/ru.json
index 822389d78a..808db9e803 100644
--- a/invokeai/frontend/web/dist/locales/ru.json
+++ b/invokeai/frontend/web/dist/locales/ru.json
@@ -1,16 +1,12 @@
{
"common": {
"hotkeysLabel": "Горячие клавиши",
- "themeLabel": "Тема",
"languagePickerLabel": "Язык",
"reportBugLabel": "Сообщить об ошибке",
"settingsLabel": "Настройки",
- "darkTheme": "Темная",
- "lightTheme": "Светлая",
- "greenTheme": "Зеленая",
"img2img": "Изображение в изображение (img2img)",
"unifiedCanvas": "Единый холст",
- "nodes": "Ноды",
+ "nodes": "Редактор рабочего процесса",
"langRussian": "Русский",
"nodesDesc": "Cистема генерации изображений на основе нодов (узлов) уже разрабатывается. Следите за новостями об этой замечательной функции.",
"postProcessing": "Постобработка",
@@ -49,14 +45,12 @@
"statusMergingModels": "Слияние моделей",
"statusModelConverted": "Модель сконвертирована",
"statusMergedModels": "Модели объединены",
- "pinOptionsPanel": "Закрепить панель настроек",
"loading": "Загрузка",
"loadingInvokeAI": "Загрузка Invoke AI",
"back": "Назад",
"statusConvertingModel": "Конвертация модели",
"cancel": "Отменить",
"accept": "Принять",
- "oceanTheme": "Океан",
"langUkranian": "Украинский",
"langEnglish": "Английский",
"postprocessing": "Постобработка",
@@ -74,7 +68,21 @@
"langPortuguese": "Португальский",
"txt2img": "Текст в изображение (txt2img)",
"langBrPortuguese": "Португальский (Бразилия)",
- "linear": "Линейная обработка"
+ "linear": "Линейная обработка",
+ "dontAskMeAgain": "Больше не спрашивать",
+ "areYouSure": "Вы уверены?",
+ "random": "Случайное",
+ "generate": "Сгенерировать",
+ "openInNewTab": "Открыть в новой вкладке",
+ "imagePrompt": "Запрос",
+ "communityLabel": "Сообщество",
+ "lightMode": "Светлая тема",
+ "batch": "Пакетный менеджер",
+ "modelManager": "Менеджер моделей",
+ "darkMode": "Темная тема",
+ "nodeEditor": "Редактор Нодов (Узлов)",
+ "controlNet": "Controlnet",
+ "advanced": "Расширенные"
},
"gallery": {
"generations": "Генерации",
@@ -87,10 +95,15 @@
"maintainAspectRatio": "Сохранять пропорции",
"autoSwitchNewImages": "Автоматически выбирать новые",
"singleColumnLayout": "Одна колонка",
- "pinGallery": "Закрепить галерею",
"allImagesLoaded": "Все изображения загружены",
"loadMore": "Показать больше",
- "noImagesInGallery": "Изображений нет"
+ "noImagesInGallery": "Изображений нет",
+ "deleteImagePermanent": "Удаленные изображения невозможно восстановить.",
+ "deleteImageBin": "Удаленные изображения будут отправлены в корзину вашей операционной системы.",
+ "deleteImage": "Удалить изображение",
+ "images": "Изображения",
+ "assets": "Ресурсы",
+ "autoAssignBoardOnClick": "Авто-назначение доски по клику"
},
"hotkeys": {
"keyboardShortcuts": "Горячие клавиши",
@@ -297,7 +310,12 @@
"acceptStagingImage": {
"title": "Принять изображение",
"desc": "Принять текущее изображение"
- }
+ },
+ "addNodes": {
+ "desc": "Открывает меню добавления узла",
+ "title": "Добавление узлов"
+ },
+ "nodesHotkeys": "Горячие клавиши узлов"
},
"modelManager": {
"modelManager": "Менеджер моделей",
@@ -350,14 +368,14 @@
"deleteModel": "Удалить модель",
"deleteConfig": "Удалить конфигурацию",
"deleteMsg1": "Вы точно хотите удалить модель из InvokeAI?",
- "deleteMsg2": "Это не удалит файл модели с диска. Позже вы можете добавить его снова.",
+ "deleteMsg2": "Это приведет К УДАЛЕНИЮ модели С ДИСКА, если она находится в корневой папке Invoke. Если вы используете пользовательское расположение, то модель НЕ будет удалена с диска.",
"repoIDValidationMsg": "Онлайн-репозиторий модели",
- "convertToDiffusersHelpText5": "Пожалуйста, убедитесь, что у вас достаточно места на диске. Модели обычно занимают 4 – 7 Гб.",
+ "convertToDiffusersHelpText5": "Пожалуйста, убедитесь, что у вас достаточно места на диске. Модели обычно занимают 2–7 Гб.",
"invokeAIFolder": "Каталог InvokeAI",
"ignoreMismatch": "Игнорировать несоответствия между выбранными моделями",
"addCheckpointModel": "Добавить модель Checkpoint/Safetensor",
"formMessageDiffusersModelLocationDesc": "Укажите хотя бы одно.",
- "convertToDiffusersHelpText3": "Файл модели на диске НЕ будет удалён или изменён. Вы сможете заново добавить его в Model Manager при необходимости.",
+ "convertToDiffusersHelpText3": "Ваш файл контрольной точки НА ДИСКЕ будет УДАЛЕН, если он находится в корневой папке InvokeAI. Если он находится в пользовательском расположении, то он НЕ будет удален.",
"vaeRepoID": "ID репозитория VAE",
"mergedModelName": "Название объединенной модели",
"checkpointModels": "Checkpoints",
@@ -409,7 +427,27 @@
"weightedSum": "Взвешенная сумма",
"safetensorModels": "SafeTensors",
"v2_768": "v2 (768px)",
- "v2_base": "v2 (512px)"
+ "v2_base": "v2 (512px)",
+ "modelDeleted": "Модель удалена",
+ "importModels": "Импорт Моделей",
+ "variant": "Вариант",
+ "baseModel": "Базовая модель",
+ "modelsSynced": "Модели синхронизированы",
+ "modelSyncFailed": "Не удалось синхронизировать модели",
+ "vae": "VAE",
+ "modelDeleteFailed": "Не удалось удалить модель",
+ "noCustomLocationProvided": "Пользовательское местоположение не указано",
+ "convertingModelBegin": "Конвертация модели. Пожалуйста, подождите.",
+ "settings": "Настройки",
+ "selectModel": "Выберите модель",
+ "syncModels": "Синхронизация моделей",
+ "syncModelsDesc": "Если ваши модели не синхронизированы с серверной частью, вы можете обновить их, используя эту опцию. Обычно это удобно в тех случаях, когда вы вручную обновляете свой файл \"models.yaml\" или добавляете модели в корневую папку InvokeAI после загрузки приложения.",
+ "modelUpdateFailed": "Не удалось обновить модель",
+ "modelConversionFailed": "Не удалось сконвертировать модель",
+ "modelsMergeFailed": "Не удалось выполнить слияние моделей",
+ "loraModels": "LoRAs",
+ "onnxModels": "Onnx",
+ "oliveModels": "Olives"
},
"parameters": {
"images": "Изображения",
@@ -417,10 +455,9 @@
"cfgScale": "Уровень CFG",
"width": "Ширина",
"height": "Высота",
- "sampler": "Семплер",
"seed": "Сид",
"randomizeSeed": "Случайный сид",
- "shuffle": "Обновить",
+ "shuffle": "Обновить сид",
"noiseThreshold": "Порог шума",
"perlinNoise": "Шум Перлина",
"variations": "Вариации",
@@ -439,10 +476,6 @@
"hiresOptim": "Оптимизация High Res",
"imageFit": "Уместить изображение",
"codeformerFidelity": "Точность",
- "seamSize": "Размер шва",
- "seamBlur": "Размытие шва",
- "seamStrength": "Сила шва",
- "seamSteps": "Шаги шва",
"scaleBeforeProcessing": "Масштабировать",
"scaledWidth": "Масштаб Ш",
"scaledHeight": "Масштаб В",
@@ -453,8 +486,6 @@
"infillScalingHeader": "Заполнение и масштабирование",
"img2imgStrength": "Сила обработки img2img",
"toggleLoopback": "Зациклить обработку",
- "invoke": "Invoke",
- "promptPlaceholder": "Введите запрос здесь (на английском). [исключенные токены], (более значимые)++, (менее значимые)--, swap и blend тоже доступны (смотрите Github)",
"sendTo": "Отправить",
"sendToImg2Img": "Отправить в img2img",
"sendToUnifiedCanvas": "Отправить на Единый холст",
@@ -467,7 +498,6 @@
"useAll": "Использовать все",
"useInitImg": "Использовать как исходное",
"info": "Метаданные",
- "deleteImage": "Удалить изображение",
"initialImage": "Исходное изображение",
"showOptionsPanel": "Показать панель настроек",
"vSymmetryStep": "Шаг верт. симметрии",
@@ -485,8 +515,27 @@
"imageToImage": "Изображение в изображение",
"denoisingStrength": "Сила шумоподавления",
"copyImage": "Скопировать изображение",
- "negativePrompts": "Исключающий запрос",
- "showPreview": "Показать предпросмотр"
+ "showPreview": "Показать предпросмотр",
+ "noiseSettings": "Шум",
+ "seamlessXAxis": "Ось X",
+ "seamlessYAxis": "Ось Y",
+ "scheduler": "Планировщик",
+ "boundingBoxWidth": "Ширина ограничивающей рамки",
+ "boundingBoxHeight": "Высота ограничивающей рамки",
+ "positivePromptPlaceholder": "Запрос",
+ "negativePromptPlaceholder": "Исключающий запрос",
+ "controlNetControlMode": "Режим управления",
+ "clipSkip": "CLIP Пропуск",
+ "aspectRatio": "Соотношение",
+ "maskAdjustmentsHeader": "Настройка маски",
+ "maskBlur": "Размытие",
+ "maskBlurMethod": "Метод размытия",
+ "seamLowThreshold": "Низкий",
+ "seamHighThreshold": "Высокий",
+ "coherenceSteps": "Шагов",
+ "coherencePassHeader": "Порог Coherence",
+ "coherenceStrength": "Сила",
+ "compositingSettingsHeader": "Настройки компоновки"
},
"settings": {
"models": "Модели",
@@ -494,24 +543,38 @@
"saveSteps": "Сохранять каждые n щагов",
"confirmOnDelete": "Подтверждать удаление",
"displayHelpIcons": "Показывать значки подсказок",
- "useCanvasBeta": "Показывать инструменты слева (Beta UI)",
"enableImageDebugging": "Включить отладку",
"resetWebUI": "Сброс настроек Web UI",
"resetWebUIDesc1": "Сброс настроек веб-интерфейса удаляет только локальный кэш браузера с вашими изображениями и настройками. Он не удаляет изображения с диска.",
"resetWebUIDesc2": "Если изображения не отображаются в галерее или не работает что-то еще, пожалуйста, попробуйте сбросить настройки, прежде чем сообщать о проблеме на GitHub.",
- "resetComplete": "Интерфейс сброшен. Обновите эту страницу.",
- "useSlidersForAll": "Использовать ползунки для всех параметров"
+ "resetComplete": "Настройки веб-интерфейса были сброшены.",
+ "useSlidersForAll": "Использовать ползунки для всех параметров",
+ "consoleLogLevel": "Уровень логирования",
+ "shouldLogToConsole": "Логи в консоль",
+ "developer": "Разработчик",
+ "general": "Основное",
+ "showProgressInViewer": "Показывать процесс генерации в Просмотрщике",
+ "antialiasProgressImages": "Сглаживать предпоказ процесса генерации",
+ "generation": "Поколение",
+ "ui": "Пользовательский интерфейс",
+ "favoriteSchedulers": "Избранные планировщики",
+ "favoriteSchedulersPlaceholder": "Нет избранных планировщиков",
+ "enableNodesEditor": "Включить редактор узлов",
+ "experimental": "Экспериментальные",
+ "beta": "Бета",
+ "alternateCanvasLayout": "Альтернативный слой холста",
+ "showAdvancedOptions": "Показать доп. параметры",
+ "autoChangeDimensions": "Обновить Ш/В на стандартные для модели при изменении"
},
"toast": {
"tempFoldersEmptied": "Временная папка очищена",
"uploadFailed": "Загрузка не удалась",
- "uploadFailedMultipleImagesDesc": "Можно вставить только одно изображение (вы попробовали вставить несколько)",
"uploadFailedUnableToLoadDesc": "Невозможно загрузить файл",
"downloadImageStarted": "Скачивание изображения началось",
"imageCopied": "Изображение скопировано",
"imageLinkCopied": "Ссылка на изображение скопирована",
"imageNotLoaded": "Изображение не загружено",
- "imageNotLoadedDesc": "Не найдены изображения для отправки в img2img",
+ "imageNotLoadedDesc": "Не удалось найти изображение",
"imageSavedToGallery": "Изображение сохранено в галерею",
"canvasMerged": "Холст объединен",
"sentToImageToImage": "Отправить в img2img",
@@ -536,7 +599,21 @@
"serverError": "Ошибка сервера",
"disconnected": "Отключено от сервера",
"connected": "Подключено к серверу",
- "canceled": "Обработка отменена"
+ "canceled": "Обработка отменена",
+ "problemCopyingImageLink": "Не удалось скопировать ссылку на изображение",
+ "uploadFailedInvalidUploadDesc": "Должно быть одно изображение в формате PNG или JPEG",
+ "parameterNotSet": "Параметр не задан",
+ "parameterSet": "Параметр задан",
+ "nodesLoaded": "Узлы загружены",
+ "problemCopyingImage": "Не удается скопировать изображение",
+ "nodesLoadedFailed": "Не удалось загрузить Узлы",
+ "nodesCleared": "Узлы очищены",
+ "nodesBrokenConnections": "Не удается загрузить. Некоторые соединения повреждены.",
+ "nodesUnrecognizedTypes": "Не удается загрузить. Граф имеет нераспознанные типы",
+ "nodesNotValidJSON": "Недопустимый JSON",
+ "nodesCorruptedGraph": "Не удается загрузить. Граф, похоже, поврежден.",
+ "nodesSaved": "Узлы сохранены",
+ "nodesNotValidGraph": "Недопустимый граф узлов InvokeAI"
},
"tooltip": {
"feature": {
@@ -610,7 +687,8 @@
"betaClear": "Очистить",
"betaDarkenOutside": "Затемнить снаружи",
"betaLimitToBox": "Ограничить выделением",
- "betaPreserveMasked": "Сохранять маскируемую область"
+ "betaPreserveMasked": "Сохранять маскируемую область",
+ "antialiasing": "Не удалось скопировать ссылку на изображение"
},
"accessibility": {
"modelSelect": "Выбор модели",
@@ -625,8 +703,7 @@
"flipHorizontally": "Отразить горизонтально",
"toggleAutoscroll": "Включить автопрокрутку",
"toggleLogViewer": "Показать или скрыть просмотрщик логов",
- "showOptionsPanel": "Показать опции",
- "showGallery": "Показать галерею",
+ "showOptionsPanel": "Показать боковую панель",
"invokeProgressBar": "Индикатор выполнения",
"reset": "Сброс",
"modifyConfig": "Изменить конфиг",
@@ -634,5 +711,69 @@
"copyMetadataJson": "Скопировать метаданные JSON",
"exitViewer": "Закрыть просмотрщик",
"menu": "Меню"
+ },
+ "ui": {
+ "showProgressImages": "Показывать промежуточный итог",
+ "hideProgressImages": "Не показывать промежуточный итог",
+ "swapSizes": "Поменять местами размеры",
+ "lockRatio": "Зафиксировать пропорции"
+ },
+ "nodes": {
+ "zoomInNodes": "Увеличьте масштаб",
+ "zoomOutNodes": "Уменьшите масштаб",
+ "fitViewportNodes": "Уместить вид",
+ "hideGraphNodes": "Скрыть оверлей графа",
+ "showGraphNodes": "Показать оверлей графа",
+ "showLegendNodes": "Показать тип поля",
+ "hideMinimapnodes": "Скрыть миникарту",
+ "hideLegendNodes": "Скрыть тип поля",
+ "showMinimapnodes": "Показать миникарту",
+ "loadWorkflow": "Загрузить рабочий процесс",
+ "resetWorkflowDesc2": "Сброс рабочего процесса очистит все узлы, ребра и детали рабочего процесса.",
+ "resetWorkflow": "Сбросить рабочий процесс",
+ "resetWorkflowDesc": "Вы уверены, что хотите сбросить этот рабочий процесс?",
+ "reloadNodeTemplates": "Перезагрузить шаблоны узлов",
+ "downloadWorkflow": "Скачать JSON рабочего процесса"
+ },
+ "controlnet": {
+ "amult": "a_mult",
+ "contentShuffleDescription": "Перетасовывает содержимое изображения",
+ "bgth": "bg_th",
+ "contentShuffle": "Перетасовка содержимого",
+ "beginEndStepPercent": "Процент начала/конца шага",
+ "duplicate": "Дублировать",
+ "balanced": "Сбалансированный",
+ "f": "F",
+ "depthMidasDescription": "Генерация карты глубины с использованием Midas",
+ "control": "Контроль",
+ "coarse": "Грубость обработки",
+ "crop": "Обрезка",
+ "depthMidas": "Глубина (Midas)",
+ "enableControlnet": "Включить ControlNet",
+ "detectResolution": "Определить разрешение",
+ "controlMode": "Режим контроля",
+ "cannyDescription": "Детектор границ Canny",
+ "depthZoe": "Глубина (Zoe)",
+ "autoConfigure": "Автонастройка процессора",
+ "delete": "Удалить",
+ "canny": "Canny",
+ "depthZoeDescription": "Генерация карты глубины с использованием Zoe"
+ },
+ "boards": {
+ "autoAddBoard": "Авто добавление Доски",
+ "topMessage": "Эта доска содержит изображения, используемые в следующих функциях:",
+ "move": "Перемещение",
+ "menuItemAutoAdd": "Авто добавление на эту доску",
+ "myBoard": "Моя Доска",
+ "searchBoard": "Поиск Доски...",
+ "noMatching": "Нет подходящих Досок",
+ "selectBoard": "Выбрать Доску",
+ "cancel": "Отменить",
+ "addBoard": "Добавить Доску",
+ "bottomMessage": "Удаление этой доски и ее изображений приведет к сбросу всех функций, использующихся их в данный момент.",
+ "uncategorized": "Без категории",
+ "changeBoard": "Изменить Доску",
+ "loading": "Загрузка...",
+ "clearSearch": "Очистить поиск"
}
}
diff --git a/invokeai/frontend/web/dist/locales/sv.json b/invokeai/frontend/web/dist/locales/sv.json
index da2266135d..eef46c4513 100644
--- a/invokeai/frontend/web/dist/locales/sv.json
+++ b/invokeai/frontend/web/dist/locales/sv.json
@@ -15,7 +15,6 @@
"reset": "Starta om",
"previousImage": "Föregående bild",
"useThisParameter": "Använd denna parametern",
- "showGallery": "Visa galleri",
"rotateCounterClockwise": "Rotera moturs",
"rotateClockwise": "Rotera medurs",
"modifyConfig": "Ändra konfiguration",
@@ -27,10 +26,6 @@
"githubLabel": "Github",
"discordLabel": "Discord",
"settingsLabel": "Inställningar",
- "darkTheme": "Mörk",
- "lightTheme": "Ljus",
- "greenTheme": "Grön",
- "oceanTheme": "Hav",
"langEnglish": "Engelska",
"langDutch": "Nederländska",
"langFrench": "Franska",
@@ -63,12 +58,10 @@
"statusGenerationComplete": "Generering klar",
"statusModelConverted": "Modell konverterad",
"statusMergingModels": "Sammanfogar modeller",
- "pinOptionsPanel": "Nåla fast inställningspanelen",
"loading": "Laddar",
"loadingInvokeAI": "Laddar Invoke AI",
"statusRestoringFaces": "Återskapar ansikten",
"languagePickerLabel": "Språkväljare",
- "themeLabel": "Tema",
"txt2img": "Text till bild",
"nodes": "Noder",
"img2img": "Bild till bild",
@@ -108,7 +101,6 @@
"galleryImageResetSize": "Återställ storlek",
"gallerySettings": "Galleriinställningar",
"maintainAspectRatio": "Behåll bildförhållande",
- "pinGallery": "Nåla fast galleri",
"noImagesInGallery": "Inga bilder i galleriet",
"autoSwitchNewImages": "Ändra automatiskt till nya bilder",
"singleColumnLayout": "Enkolumnslayout"
diff --git a/invokeai/frontend/web/dist/locales/tr.json b/invokeai/frontend/web/dist/locales/tr.json
index 316908b4a9..0c222eecf7 100644
--- a/invokeai/frontend/web/dist/locales/tr.json
+++ b/invokeai/frontend/web/dist/locales/tr.json
@@ -19,21 +19,15 @@
"reset": "Sıfırla",
"uploadImage": "Resim Yükle",
"previousImage": "Önceki Resim",
- "menu": "Menü",
- "showGallery": "Galeriyi Göster"
+ "menu": "Menü"
},
"common": {
"hotkeysLabel": "Kısayol Tuşları",
- "themeLabel": "Tema",
"languagePickerLabel": "Dil Seçimi",
"reportBugLabel": "Hata Bildir",
"githubLabel": "Github",
"discordLabel": "Discord",
"settingsLabel": "Ayarlar",
- "darkTheme": "Karanlık Tema",
- "lightTheme": "Aydınlık Tema",
- "greenTheme": "Yeşil Tema",
- "oceanTheme": "Okyanus Tema",
"langArabic": "Arapça",
"langEnglish": "İngilizce",
"langDutch": "Hollandaca",
diff --git a/invokeai/frontend/web/dist/locales/uk.json b/invokeai/frontend/web/dist/locales/uk.json
index 8261aa82e0..a85faee727 100644
--- a/invokeai/frontend/web/dist/locales/uk.json
+++ b/invokeai/frontend/web/dist/locales/uk.json
@@ -1,13 +1,9 @@
{
"common": {
"hotkeysLabel": "Гарячi клавіші",
- "themeLabel": "Тема",
"languagePickerLabel": "Мова",
"reportBugLabel": "Повідомити про помилку",
"settingsLabel": "Налаштування",
- "darkTheme": "Темна",
- "lightTheme": "Світла",
- "greenTheme": "Зелена",
"img2img": "Зображення із зображення (img2img)",
"unifiedCanvas": "Універсальне полотно",
"nodes": "Вузли",
@@ -55,8 +51,6 @@
"langHebrew": "Іврит",
"langKorean": "Корейська",
"langPortuguese": "Португальська",
- "pinOptionsPanel": "Закріпити панель налаштувань",
- "oceanTheme": "Океан",
"langArabic": "Арабська",
"langSimplifiedChinese": "Китайська (спрощена)",
"langSpanish": "Іспанська",
@@ -87,7 +81,6 @@
"maintainAspectRatio": "Зберігати пропорції",
"autoSwitchNewImages": "Автоматично вибирати нові",
"singleColumnLayout": "Одна колонка",
- "pinGallery": "Закріпити галерею",
"allImagesLoaded": "Всі зображення завантажені",
"loadMore": "Завантажити більше",
"noImagesInGallery": "Зображень немає"
@@ -417,7 +410,6 @@
"cfgScale": "Рівень CFG",
"width": "Ширина",
"height": "Висота",
- "sampler": "Семплер",
"seed": "Сід",
"randomizeSeed": "Випадковий сид",
"shuffle": "Оновити",
@@ -439,10 +431,6 @@
"hiresOptim": "Оптимізація High Res",
"imageFit": "Вмістити зображення",
"codeformerFidelity": "Точність",
- "seamSize": "Размір шву",
- "seamBlur": "Розмиття шву",
- "seamStrength": "Сила шву",
- "seamSteps": "Кроки шву",
"scaleBeforeProcessing": "Масштабувати",
"scaledWidth": "Масштаб Ш",
"scaledHeight": "Масштаб В",
@@ -453,8 +441,6 @@
"infillScalingHeader": "Заповнення і масштабування",
"img2imgStrength": "Сила обробки img2img",
"toggleLoopback": "Зациклити обробку",
- "invoke": "Викликати",
- "promptPlaceholder": "Введіть запит тут (англійською). [видалені токени], (більш вагомі)++, (менш вагомі)--, swap и blend також доступні (дивіться Github)",
"sendTo": "Надіслати",
"sendToImg2Img": "Надіслати у img2img",
"sendToUnifiedCanvas": "Надіслати на полотно",
@@ -467,7 +453,6 @@
"useAll": "Використати все",
"useInitImg": "Використати як початкове",
"info": "Метадані",
- "deleteImage": "Видалити зображення",
"initialImage": "Початкове зображення",
"showOptionsPanel": "Показати панель налаштувань",
"general": "Основне",
@@ -485,8 +470,7 @@
"denoisingStrength": "Сила шумоподавлення",
"copyImage": "Копіювати зображення",
"symmetry": "Симетрія",
- "hSymmetryStep": "Крок гор. симетрії",
- "negativePrompts": "Виключний запит"
+ "hSymmetryStep": "Крок гор. симетрії"
},
"settings": {
"models": "Моделі",
@@ -494,7 +478,6 @@
"saveSteps": "Зберігати кожні n кроків",
"confirmOnDelete": "Підтверджувати видалення",
"displayHelpIcons": "Показувати значки підказок",
- "useCanvasBeta": "Показувати інструменты зліва (Beta UI)",
"enableImageDebugging": "Увімкнути налагодження",
"resetWebUI": "Повернути початкові",
"resetWebUIDesc1": "Скидання настройок веб-інтерфейсу видаляє лише локальний кеш браузера з вашими зображеннями та налаштуваннями. Це не призводить до видалення зображень з диску.",
@@ -505,7 +488,6 @@
"toast": {
"tempFoldersEmptied": "Тимчасова папка очищена",
"uploadFailed": "Не вдалося завантажити",
- "uploadFailedMultipleImagesDesc": "Можна вставити лише одне зображення (ви спробували вставити декілька)",
"uploadFailedUnableToLoadDesc": "Неможливо завантажити файл",
"downloadImageStarted": "Завантаження зображення почалося",
"imageCopied": "Зображення скопійоване",
@@ -626,7 +608,6 @@
"rotateClockwise": "Обертати за годинниковою стрілкою",
"toggleAutoscroll": "Увімкнути автопрокручування",
"toggleLogViewer": "Показати або приховати переглядач журналів",
- "showGallery": "Показати галерею",
"previousImage": "Попереднє зображення",
"copyMetadataJson": "Скопіювати метадані JSON",
"flipVertically": "Перевернути по вертикалі",
diff --git a/invokeai/frontend/web/dist/locales/zh_CN.json b/invokeai/frontend/web/dist/locales/zh_CN.json
index d4d7746926..d91bf0b4bb 100644
--- a/invokeai/frontend/web/dist/locales/zh_CN.json
+++ b/invokeai/frontend/web/dist/locales/zh_CN.json
@@ -1,25 +1,21 @@
{
"common": {
"hotkeysLabel": "快捷键",
- "themeLabel": "主题",
"languagePickerLabel": "语言",
- "reportBugLabel": "提交错误报告",
+ "reportBugLabel": "反馈错误",
"settingsLabel": "设置",
- "darkTheme": "暗色",
- "lightTheme": "亮色",
- "greenTheme": "绿色",
- "img2img": "图像到图像",
+ "img2img": "图生图",
"unifiedCanvas": "统一画布",
- "nodes": "节点",
+ "nodes": "工作流编辑器",
"langSimplifiedChinese": "简体中文",
"nodesDesc": "一个基于节点的图像生成系统目前正在开发中。请持续关注关于这一功能的更新。",
"postProcessing": "后期处理",
- "postProcessDesc1": "Invoke AI 提供各种各样的后期处理功能。图像放大和面部修复在网页界面中已经可用。你可以从文本到图像和图像到图像页面的高级选项菜单中访问它们。你也可以直接使用图像显示上方或查看器中的图像操作按钮处理图像。",
+ "postProcessDesc1": "Invoke AI 提供各种各样的后期处理功能。图像放大和面部修复在网页界面中已经可用。你可以从文生图和图生图页面的高级选项菜单中访问它们。你也可以直接使用图像显示上方或查看器中的图像操作按钮处理图像。",
"postProcessDesc2": "一个专门的界面将很快发布，新的界面能够处理更复杂的后期处理流程。",
- "postProcessDesc3": "Invoke AI 命令行界面提供例如Embiggen的各种其他功能。",
+ "postProcessDesc3": "Invoke AI 命令行界面提供例如 Embiggen 的各种其他功能。",
"training": "训练",
- "trainingDesc1": "一个专门用于从网络UI使用Textual Inversion和Dreambooth训练自己的嵌入模型和检查点的工作流程。",
- "trainingDesc2": "InvokeAI已经支持使用主脚本中的Textual Inversion来训练自定义的嵌入模型。",
+ "trainingDesc1": "一个专门用于从 Web UI 使用 Textual Inversion 和 Dreambooth 训练自己的 Embedding 和 checkpoint 的工作流。",
+ "trainingDesc2": "InvokeAI 已经支持使用主脚本中的 Textual Inversion 来训练自定义 embeddouring。",
"upload": "上传",
"close": "关闭",
"load": "加载",
@@ -27,23 +23,72 @@
"statusDisconnected": "未连接",
"statusError": "错误",
"statusPreparing": "准备中",
- "statusProcessingCanceled": "处理取消",
+ "statusProcessingCanceled": "处理已取消",
"statusProcessingComplete": "处理完成",
"statusGenerating": "生成中",
- "statusGeneratingTextToImage": "文字到图像生成中",
- "statusGeneratingImageToImage": "图像到图像生成中",
- "statusGeneratingInpainting": "生成内画中",
- "statusGeneratingOutpainting": "生成外画中",
+ "statusGeneratingTextToImage": "文生图生成中",
+ "statusGeneratingImageToImage": "图生图生成中",
+ "statusGeneratingInpainting": "(Inpainting) 内补生成中",
+ "statusGeneratingOutpainting": "(Outpainting) 外扩生成中",
"statusGenerationComplete": "生成完成",
"statusIterationComplete": "迭代完成",
"statusSavingImage": "图像保存中",
- "statusRestoringFaces": "脸部修复中",
- "statusRestoringFacesGFPGAN": "脸部修复中 (GFPGAN)",
- "statusRestoringFacesCodeFormer": "脸部修复中 (CodeFormer)",
+ "statusRestoringFaces": "面部修复中",
+ "statusRestoringFacesGFPGAN": "面部修复中 (GFPGAN)",
+ "statusRestoringFacesCodeFormer": "面部修复中 (CodeFormer)",
"statusUpscaling": "放大中",
"statusUpscalingESRGAN": "放大中 (ESRGAN)",
"statusLoadingModel": "模型加载中",
- "statusModelChanged": "模型已切换"
+ "statusModelChanged": "模型已切换",
+ "accept": "同意",
+ "cancel": "取消",
+ "dontAskMeAgain": "不要再次询问",
+ "areYouSure": "你确认吗？",
+ "imagePrompt": "图片提示词",
+ "langKorean": "朝鲜语",
+ "langPortuguese": "葡萄牙语",
+ "random": "随机",
+ "generate": "生成",
+ "openInNewTab": "在新的标签页打开",
+ "langUkranian": "乌克兰语",
+ "back": "返回",
+ "statusMergedModels": "模型已合并",
+ "statusConvertingModel": "转换模型中",
+ "statusModelConverted": "模型转换完成",
+ "statusMergingModels": "合并模型",
+ "githubLabel": "GitHub",
+ "discordLabel": "Discord",
+ "langPolish": "波兰语",
+ "langBrPortuguese": "葡萄牙语（巴西）",
+ "langDutch": "荷兰语",
+ "langFrench": "法语",
+ "langRussian": "俄语",
+ "langGerman": "德语",
+ "langHebrew": "希伯来语",
+ "langItalian": "意大利语",
+ "langJapanese": "日语",
+ "langSpanish": "西班牙语",
+ "langEnglish": "英语",
+ "langArabic": "阿拉伯语",
+ "txt2img": "文生图",
+ "postprocessing": "后期处理",
+ "loading": "加载中",
+ "loadingInvokeAI": "Invoke AI 加载中",
+ "linear": "线性的",
+ "batch": "批次管理器",
+ "communityLabel": "社区",
+ "modelManager": "模型管理器",
+ "nodeEditor": "节点编辑器",
+ "statusProcessing": "处理中",
+ "imageFailedToLoad": "无法加载图像",
+ "lightMode": "浅色模式",
+ "learnMore": "了解更多",
+ "darkMode": "深色模式",
+ "advanced": "高级",
+ "t2iAdapter": "T2I Adapter",
+ "ipAdapter": "IP Adapter",
+ "controlAdapter": "Control Adapter",
+ "controlNet": "ControlNet"
},
"gallery": {
"generations": "生成的图像",
@@ -53,20 +98,35 @@
"galleryImageSize": "预览大小",
"galleryImageResetSize": "重置预览大小",
"gallerySettings": "预览设置",
- "maintainAspectRatio": "保持比例",
+ "maintainAspectRatio": "保持纵横比",
"autoSwitchNewImages": "自动切换到新图像",
"singleColumnLayout": "单列布局",
- "pinGallery": "保持图库常开",
- "allImagesLoaded": "所有图像加载完成",
+ "allImagesLoaded": "所有图像已加载",
"loadMore": "加载更多",
- "noImagesInGallery": "图库中无图像"
+ "noImagesInGallery": "无图像可用于显示",
+ "deleteImage": "删除图片",
+ "deleteImageBin": "被删除的图片会发送到你操作系统的回收站。",
+ "deleteImagePermanent": "删除的图片无法被恢复。",
+ "images": "图片",
+ "assets": "素材",
+ "autoAssignBoardOnClick": "点击后自动分配面板",
+ "featuresWillReset": "如果您删除该图像，这些功能会立即被重置。",
+ "loading": "加载中",
+ "unableToLoad": "无法加载图库",
+ "currentlyInUse": "该图像目前在以下功能中使用：",
+ "copy": "复制",
+ "download": "下载",
+ "setCurrentImage": "设为当前图像",
+ "preparingDownload": "准备下载",
+ "preparingDownloadFailed": "准备下载时出现问题",
+ "downloadSelection": "下载所选内容"
},
"hotkeys": {
- "keyboardShortcuts": "快捷方式",
- "appHotkeys": "应用快捷方式",
- "generalHotkeys": "一般快捷方式",
- "galleryHotkeys": "图库快捷方式",
- "unifiedCanvasHotkeys": "统一画布快捷方式",
+ "keyboardShortcuts": "键盘快捷键",
+ "appHotkeys": "应用快捷键",
+ "generalHotkeys": "一般快捷键",
+ "galleryHotkeys": "图库快捷键",
+ "unifiedCanvasHotkeys": "统一画布快捷键",
"invoke": {
"title": "Invoke",
"desc": "生成图像"
@@ -76,31 +136,31 @@
"desc": "取消图像生成"
},
"focusPrompt": {
- "title": "打开提示框",
- "desc": "打开提示文本框"
+ "title": "打开提示词框",
+ "desc": "打开提示词文本框"
},
"toggleOptions": {
"title": "切换选项卡",
- "desc": "打开或关闭选项卡"
+ "desc": "打开或关闭选项浮窗"
},
"pinOptions": {
"title": "常开选项卡",
- "desc": "保持选项卡常开"
+ "desc": "保持选项浮窗常开"
},
"toggleViewer": {
- "title": "切换图像视图",
- "desc": "打开或关闭图像视图"
+ "title": "切换图像查看器",
+ "desc": "打开或关闭图像查看器"
},
"toggleGallery": {
"title": "切换图库",
"desc": "打开或关闭图库"
},
"maximizeWorkSpace": {
- "title": "工作台最大化",
+ "title": "工作区最大化",
"desc": "关闭所有浮窗，将工作区域最大化"
},
"changeTabs": {
- "title": "切换卡片",
+ "title": "切换选项卡",
"desc": "切换到另一个工作区"
},
"consoleToggle": {
@@ -108,7 +168,7 @@
"desc": "打开或关闭命令行"
},
"setPrompt": {
- "title": "使用提示",
+ "title": "使用当前提示词",
"desc": "使用当前图像的提示词"
},
"setSeed": {
@@ -116,12 +176,12 @@
"desc": "使用当前图像的种子"
},
"setParameters": {
- "title": "使用所有参数",
+ "title": "使用当前参数",
"desc": "使用当前图像的所有参数"
},
"restoreFaces": {
- "title": "脸部修复",
- "desc": "对当前图像进行脸部修复"
+ "title": "面部修复",
+ "desc": "对当前图像进行面部修复"
},
"upscale": {
"title": "放大",
@@ -132,8 +192,8 @@
"desc": "显示当前图像的元数据"
},
"sendToImageToImage": {
- "title": "送往图像到图像",
- "desc": "将当前图像送往图像到图像"
+ "title": "发送到图生图",
+ "desc": "发送当前图像到图生图"
},
"deleteImage": {
"title": "删除图像",
@@ -145,23 +205,23 @@
},
"previousImage": {
"title": "上一张图像",
- "desc": "显示相册中的上一张图像"
+ "desc": "显示图库中的上一张图像"
},
"nextImage": {
"title": "下一张图像",
- "desc": "显示相册中的下一张图像"
+ "desc": "显示图库中的下一张图像"
},
"toggleGalleryPin": {
"title": "切换图库常开",
"desc": "开关图库在界面中的常开模式"
},
"increaseGalleryThumbSize": {
- "title": "增大预览大小",
- "desc": "增大图库中预览的大小"
+ "title": "增大预览尺寸",
+ "desc": "增大图库中预览的尺寸"
},
"decreaseGalleryThumbSize": {
- "title": "减小预览大小",
- "desc": "减小图库中预览的大小"
+ "title": "缩小预览尺寸",
+ "desc": "缩小图库中预览的尺寸"
},
"selectBrush": {
"title": "选择刷子",
@@ -189,19 +249,19 @@
},
"moveTool": {
"title": "移动工具",
- "desc": "在画布上移动"
+ "desc": "画布允许导航"
},
"fillBoundingBox": {
"title": "填充选择区域",
"desc": "在选择区域中填充刷子颜色"
},
"eraseBoundingBox": {
- "title": "取消选择区域",
- "desc": "将选择区域抹除"
+ "title": "擦除选择框",
+ "desc": "将选择区域擦除"
},
"colorPicker": {
- "title": "颜色提取工具",
- "desc": "选择颜色提取工具"
+ "title": "选择颜色拾取工具",
+ "desc": "选择画布颜色拾取工具"
},
"toggleSnap": {
"title": "切换网格对齐",
@@ -217,7 +277,7 @@
},
"clearMask": {
"title": "清除遮罩",
- "desc": "清除整个遮罩层"
+ "desc": "清除整个遮罩"
},
"hideMask": {
"title": "隐藏遮罩",
@@ -233,7 +293,7 @@
},
"saveToGallery": {
"title": "保存至图库",
- "desc": "将画板当前内容保存至图库"
+ "desc": "将画布当前内容保存至图库"
},
"copyToClipboard": {
"title": "复制到剪贴板",
@@ -253,7 +313,7 @@
},
"resetView": {
"title": "重置视图",
- "desc": "重置画板视图"
+ "desc": "重置画布视图"
},
"previousStagingImage": {
"title": "上一张暂存图像",
@@ -266,12 +326,17 @@
"acceptStagingImage": {
"title": "接受暂存图像",
"desc": "接受当前暂存区中的图像"
+ },
+ "nodesHotkeys": "节点快捷键",
+ "addNodes": {
+ "title": "添加节点",
+ "desc": "打开添加节点菜单"
}
},
"modelManager": {
"modelManager": "模型管理器",
"model": "模型",
- "modelAdded": "模型已添加",
+ "modelAdded": "已添加模型",
"modelUpdated": "模型已更新",
"modelEntryDeleted": "模型已删除",
"cannotUseSpaces": "不能使用空格",
@@ -284,30 +349,30 @@
"description": "描述",
"descriptionValidationMsg": "添加模型的描述",
"config": "配置",
- "configValidationMsg": "模型配置文件的路径",
+ "configValidationMsg": "模型配置文件的路径。",
"modelLocation": "模型位置",
- "modelLocationValidationMsg": "模型文件的路径",
+ "modelLocationValidationMsg": "提供 Diffusers 模型文件的本地存储路径",
"vaeLocation": "VAE 位置",
- "vaeLocationValidationMsg": "VAE 文件的路径",
+ "vaeLocationValidationMsg": "VAE 文件的路径。",
"width": "宽度",
- "widthValidationMsg": "模型的默认宽度",
+ "widthValidationMsg": "模型的默认宽度。",
"height": "高度",
- "heightValidationMsg": "模型的默认高度",
+ "heightValidationMsg": "模型的默认高度。",
"addModel": "添加模型",
"updateModel": "更新模型",
"availableModels": "可用模型",
- "search": "搜索",
+ "search": "检索",
"load": "加载",
"active": "活跃",
"notLoaded": "未加载",
"cached": "缓存",
"checkpointFolder": "模型检查点文件夹",
- "clearCheckpointFolder": "清除模型检查点文件夹",
+ "clearCheckpointFolder": "清除 Checkpoint 模型文件夹",
"findModels": "寻找模型",
"modelsFound": "找到的模型",
"selectFolder": "选择文件夹",
"selected": "已选择",
- "selectAll": "选择所有",
+ "selectAll": "全选",
"deselectAll": "取消选择所有",
"showExisting": "显示已存在",
"addSelected": "添加选择",
@@ -315,8 +380,99 @@
"delete": "删除",
"deleteModel": "删除模型",
"deleteConfig": "删除配置",
- "deleteMsg1": "您确定要将这个模型从 InvokeAI 删除吗？",
- "deleteMsg2": "这不会从磁盘中删除模型检查点文件。如果您愿意，可以重新添加它们。"
+ "deleteMsg1": "您确定要将该模型从 InvokeAI 删除吗？",
+ "deleteMsg2": "磁盘中放置在 InvokeAI 根文件夹的 checkpoint 文件会被删除。若你正在使用自定义目录，则不会从磁盘中删除他们。",
+ "convertToDiffusersHelpText1": "模型会被转换成 🧨 Diffusers 格式。",
+ "convertToDiffusersHelpText2": "这个过程会替换你的模型管理器的入口中相同 Diffusers 版本的模型。",
+ "mergedModelSaveLocation": "保存路径",
+ "mergedModelCustomSaveLocation": "自定义路径",
+ "checkpointModels": "Checkpoints",
+ "formMessageDiffusersVAELocation": "VAE 路径",
+ "convertToDiffusersHelpText4": "这是一次性的处理过程。根据你电脑的配置不同耗时 30 - 60 秒。",
+ "convertToDiffusersHelpText6": "你希望转换这个模型吗？",
+ "interpolationType": "插值类型",
+ "modelTwo": "模型 2",
+ "modelThree": "模型 3",
+ "v2_768": "v2 (768px)",
+ "mergedModelName": "合并的模型名称",
+ "allModels": "全部模型",
+ "convertToDiffusers": "转换为 Diffusers",
+ "formMessageDiffusersModelLocation": "Diffusers 模型路径",
+ "custom": "自定义",
+ "formMessageDiffusersVAELocationDesc": "如果没有特别指定，InvokeAI 会从上面指定的模型路径中寻找 VAE 文件。",
+ "safetensorModels": "SafeTensors",
+ "modelsMerged": "模型合并完成",
+ "mergeModels": "合并模型",
+ "modelOne": "模型 1",
+ "diffusersModels": "Diffusers",
+ "scanForModels": "扫描模型",
+ "repo_id": "项目 ID",
+ "repoIDValidationMsg": "你的模型的在线项目地址",
+ "v1": "v1",
+ "invokeRoot": "InvokeAI 文件夹",
+ "inpainting": "v1 Inpainting",
+ "customSaveLocation": "自定义保存路径",
+ "scanAgain": "重新扫描",
+ "customConfig": "个性化配置",
+ "pathToCustomConfig": "个性化配置路径",
+ "modelConverted": "模型已转换",
+ "statusConverting": "转换中",
+ "sameFolder": "相同文件夹",
+ "invokeAIFolder": "Invoke AI 文件夹",
+ "ignoreMismatch": "忽略所选模型之间的不匹配",
+ "modelMergeHeaderHelp1": "您可以合并最多三种不同的模型，以创建符合您需求的混合模型。",
+ "modelMergeHeaderHelp2": "只有扩散器（Diffusers）可以用于模型合并。如果您想要合并一个检查点模型，请先将其转换为扩散器。",
+ "addCheckpointModel": "添加 Checkpoint / Safetensor 模型",
+ "addDiffuserModel": "添加 Diffusers 模型",
+ "vaeRepoID": "VAE 项目 ID",
+ "vaeRepoIDValidationMsg": "VAE 模型在线仓库地址",
+ "selectAndAdd": "选择下表中的模型并添加",
+ "noModelsFound": "未有找到模型",
+ "formMessageDiffusersModelLocationDesc": "请至少输入一个。",
+ "convertToDiffusersSaveLocation": "保存路径",
+ "convertToDiffusersHelpText3": "磁盘中放置在 InvokeAI 根文件夹的 checkpoint 文件会被删除. 若位于自定义目录, 则不会受影响.",
+ "v2_base": "v2 (512px)",
+ "convertToDiffusersHelpText5": "请确认你有足够的磁盘空间，模型大小通常在 2 GB - 7 GB 之间。",
+ "convert": "转换",
+ "merge": "合并",
+ "pickModelType": "选择模型类型",
+ "addDifference": "增加差异",
+ "none": "无",
+ "inverseSigmoid": "反 Sigmoid 函数",
+ "weightedSum": "加权求和",
+ "modelMergeAlphaHelp": "Alpha 参数控制模型的混合强度。较低的 Alpha 值会导致第二个模型的影响减弱。",
+ "sigmoid": "Sigmoid 函数",
+ "modelMergeInterpAddDifferenceHelp": "在这种模式下，首先从模型 2 中减去模型 3，得到的版本再用上述的 Alpha 值与模型1进行混合。",
+ "modelsSynced": "模型已同步",
+ "modelSyncFailed": "模型同步失败",
+ "modelDeleteFailed": "模型删除失败",
+ "syncModelsDesc": "如果您的模型与后端不同步，您可以使用此选项刷新它们。便于您在应用程序启动的情况下手动更新 models.yaml 文件或将模型添加到 InvokeAI 根文件夹。",
+ "selectModel": "选择模型",
+ "importModels": "导入模型",
+ "settings": "设置",
+ "syncModels": "同步模型",
+ "noCustomLocationProvided": "未提供自定义路径",
+ "modelDeleted": "模型已删除",
+ "modelUpdateFailed": "模型更新失败",
+ "modelConversionFailed": "模型转换失败",
+ "modelsMergeFailed": "模型融合失败",
+ "baseModel": "基底模型",
+ "convertingModelBegin": "模型转换中. 请稍候.",
+ "noModels": "未找到模型",
+ "predictionType": "预测类型（适用于 Stable Diffusion 2.x 模型和部分 Stable Diffusion 1.x 模型）",
+ "quickAdd": "快速添加",
+ "simpleModelDesc": "提供一个指向本地 Diffusers 模型的路径，本地 checkpoint / safetensors 模型或一个HuggingFace 项目 ID，又或者一个 checkpoint/diffusers 模型链接。",
+ "advanced": "高级",
+ "useCustomConfig": "使用自定义配置",
+ "closeAdvanced": "关闭高级",
+ "modelType": "模型类别",
+ "customConfigFileLocation": "自定义配置文件目录",
+ "variant": "变体",
+ "onnxModels": "Onnx",
+ "vae": "VAE",
+ "oliveModels": "Olive",
+ "loraModels": "LoRA",
+ "alpha": "Alpha"
},
"parameters": {
"images": "图像",
@@ -324,113 +480,250 @@
"cfgScale": "CFG 等级",
"width": "宽度",
"height": "高度",
- "sampler": "采样算法",
"seed": "种子",
"randomizeSeed": "随机化种子",
- "shuffle": "随机化",
+ "shuffle": "随机生成种子",
"noiseThreshold": "噪声阈值",
"perlinNoise": "Perlin 噪声",
"variations": "变种",
"variationAmount": "变种数量",
"seedWeights": "种子权重",
- "faceRestoration": "脸部修复",
- "restoreFaces": "修复脸部",
+ "faceRestoration": "面部修复",
+ "restoreFaces": "修复面部",
"type": "种类",
"strength": "强度",
"upscaling": "放大",
- "upscale": "放大",
+ "upscale": "放大 (Shift + U)",
"upscaleImage": "放大图像",
"scale": "等级",
"otherOptions": "其他选项",
"seamlessTiling": "无缝拼贴",
- "hiresOptim": "高清优化",
- "imageFit": "使生成图像长宽适配原图像",
- "codeformerFidelity": "保真",
- "seamSize": "接缝尺寸",
- "seamBlur": "接缝模糊",
- "seamStrength": "接缝强度",
- "seamSteps": "接缝步数",
+ "hiresOptim": "高分辨率优化",
+ "imageFit": "使生成图像长宽适配初始图像",
+ "codeformerFidelity": "保真度",
"scaleBeforeProcessing": "处理前缩放",
"scaledWidth": "缩放宽度",
"scaledHeight": "缩放长度",
- "infillMethod": "填充法",
+ "infillMethod": "填充方法",
"tileSize": "方格尺寸",
"boundingBoxHeader": "选择区域",
"seamCorrectionHeader": "接缝修正",
"infillScalingHeader": "内填充和缩放",
- "img2imgStrength": "图像到图像强度",
+ "img2imgStrength": "图生图强度",
"toggleLoopback": "切换环回",
- "invoke": "Invoke",
- "promptPlaceholder": "在这里输入提示。可以使用[反提示]、(加权)++、(减权)--、交换和混合（见文档）",
"sendTo": "发送到",
- "sendToImg2Img": "发送到图像到图像",
+ "sendToImg2Img": "发送到图生图",
"sendToUnifiedCanvas": "发送到统一画布",
"copyImageToLink": "复制图像链接",
"downloadImage": "下载图像",
- "openInViewer": "在视图中打开",
- "closeViewer": "关闭视图",
+ "openInViewer": "在查看器中打开",
+ "closeViewer": "关闭查看器",
"usePrompt": "使用提示",
"useSeed": "使用种子",
"useAll": "使用所有参数",
- "useInitImg": "使用原图像",
+ "useInitImg": "使用初始图像",
"info": "信息",
- "deleteImage": "删除图像",
- "initialImage": "原图像",
- "showOptionsPanel": "显示选项浮窗"
+ "initialImage": "初始图像",
+ "showOptionsPanel": "显示侧栏浮窗 (O 或 T)",
+ "seamlessYAxis": "Y 轴",
+ "seamlessXAxis": "X 轴",
+ "boundingBoxWidth": "边界框宽度",
+ "boundingBoxHeight": "边界框高度",
+ "denoisingStrength": "去噪强度",
+ "vSymmetryStep": "纵向对称步数",
+ "cancel": {
+ "immediate": "立即取消",
+ "isScheduled": "取消中",
+ "schedule": "当前迭代后取消",
+ "setType": "设定取消类型",
+ "cancel": "取消"
+ },
+ "copyImage": "复制图片",
+ "showPreview": "显示预览",
+ "symmetry": "对称性",
+ "positivePromptPlaceholder": "正向提示词",
+ "negativePromptPlaceholder": "负向提示词",
+ "scheduler": "调度器",
+ "general": "通用",
+ "hiresStrength": "高分辨强度",
+ "hidePreview": "隐藏预览",
+ "hSymmetryStep": "横向对称步数",
+ "imageToImage": "图生图",
+ "noiseSettings": "噪音",
+ "controlNetControlMode": "控制模式",
+ "maskAdjustmentsHeader": "遮罩调整",
+ "maskBlur": "模糊",
+ "maskBlurMethod": "模糊方式",
+ "aspectRatio": "纵横比",
+ "seamLowThreshold": "降低",
+ "seamHighThreshold": "提升",
+ "invoke": {
+ "noNodesInGraph": "节点图中无节点",
+ "noModelSelected": "无已选中的模型",
+ "invoke": "调用",
+ "systemBusy": "系统繁忙",
+ "noInitialImageSelected": "无选中的初始图像",
+ "missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} 缺失输入",
+ "unableToInvoke": "无法调用",
+ "systemDisconnected": "系统已断开连接",
+ "missingNodeTemplate": "缺失节点模板",
+ "missingFieldTemplate": "缺失模板",
+ "addingImagesTo": "添加图像到",
+ "noPrompts": "没有已生成的提示词",
+ "readyToInvoke": "准备调用",
+ "noControlImageForControlAdapter": "有 #{{number}} 个 Control Adapter 缺失控制图像",
+ "noModelForControlAdapter": "有 #{{number}} 个 Control Adapter 没有选择模型。",
+ "incompatibleBaseModelForControlAdapter": "有 #{{number}} 个 Control Adapter 模型与主模型不匹配。"
+ },
+ "patchmatchDownScaleSize": "缩小",
+ "coherenceSteps": "步数",
+ "clipSkip": "CLIP 跳过层",
+ "compositingSettingsHeader": "合成设置",
+ "useCpuNoise": "使用 CPU 噪声",
+ "coherenceStrength": "强度",
+ "enableNoiseSettings": "启用噪声设置",
+ "coherenceMode": "模式",
+ "cpuNoise": "CPU 噪声",
+ "gpuNoise": "GPU 噪声",
+ "clipSkipWithLayerCount": "CLIP 跳过 {{layerCount}} 层",
+ "coherencePassHeader": "一致性层",
+ "manualSeed": "手动设定种子",
+ "imageActions": "图像操作",
+ "randomSeed": "随机种子",
+ "iterations": "迭代数",
+ "isAllowedToUpscale": {
+ "useX2Model": "图像太大，无法使用 x4 模型，使用 x2 模型作为替代",
+ "tooLarge": "图像太大无法进行放大，请选择更小的图像"
+ },
+ "iterationsWithCount_other": "{{count}} 次迭代生成"
},
"settings": {
"models": "模型",
- "displayInProgress": "显示进行中的图像",
+ "displayInProgress": "显示处理中的图像",
"saveSteps": "每n步保存图像",
"confirmOnDelete": "删除时确认",
"displayHelpIcons": "显示帮助按钮",
- "useCanvasBeta": "使用测试版画布视图",
"enableImageDebugging": "开启图像调试",
"resetWebUI": "重置网页界面",
"resetWebUIDesc1": "重置网页只会重置浏览器中缓存的图像和设置，不会删除任何图像。",
"resetWebUIDesc2": "如果图像没有显示在图库中，或者其他东西不工作，请在GitHub上提交问题之前尝试重置。",
- "resetComplete": "网页界面已重置。刷新页面以重新加载。"
+ "resetComplete": "网页界面已重置。",
+ "showProgressInViewer": "在查看器中展示过程图片",
+ "antialiasProgressImages": "对过程图像应用抗锯齿",
+ "generation": "生成",
+ "ui": "用户界面",
+ "useSlidersForAll": "对所有参数使用滑动条设置",
+ "general": "通用",
+ "consoleLogLevel": "日志等级",
+ "shouldLogToConsole": "终端日志",
+ "developer": "开发者",
+ "alternateCanvasLayout": "切换统一画布布局",
+ "enableNodesEditor": "启用节点编辑器",
+ "favoriteSchedulersPlaceholder": "没有偏好的采样算法",
+ "showAdvancedOptions": "显示进阶选项",
+ "favoriteSchedulers": "采样算法偏好",
+ "autoChangeDimensions": "更改时将宽/高更新为模型默认值",
+ "experimental": "实验性",
+ "beta": "Beta",
+ "clearIntermediates": "清除中间产物",
+ "clearIntermediatesDesc3": "您图库中的图像不会被删除。",
+ "clearIntermediatesDesc2": "中间产物图像是生成过程中产生的副产品，与图库中的结果图像不同。清除中间产物可释放磁盘空间。",
+ "intermediatesCleared_other": "已清除 {{number}} 个中间产物",
+ "clearIntermediatesDesc1": "清除中间产物会重置您的画布和 ControlNet 状态。",
+ "intermediatesClearedFailed": "清除中间产物时出现问题",
+ "noIntermediates": "没有可清除的中间产物"
},
"toast": {
"tempFoldersEmptied": "临时文件夹已清空",
"uploadFailed": "上传失败",
- "uploadFailedMultipleImagesDesc": "多张图像被粘贴，同时只能上传一张图像",
"uploadFailedUnableToLoadDesc": "无法加载文件",
- "downloadImageStarted": "图像下载已开始",
+ "downloadImageStarted": "图像已开始下载",
"imageCopied": "图像已复制",
"imageLinkCopied": "图像链接已复制",
"imageNotLoaded": "没有加载图像",
- "imageNotLoadedDesc": "没有图像可供送往图像到图像界面",
+ "imageNotLoadedDesc": "找不到图片",
"imageSavedToGallery": "图像已保存到图库",
"canvasMerged": "画布已合并",
- "sentToImageToImage": "已送往图像到图像",
- "sentToUnifiedCanvas": "已送往统一画布",
+ "sentToImageToImage": "已发送到图生图",
+ "sentToUnifiedCanvas": "已发送到统一画布",
"parametersSet": "参数已设定",
"parametersNotSet": "参数未设定",
- "parametersNotSetDesc": "此图像不存在元数据",
+ "parametersNotSetDesc": "此图像不存在元数据。",
"parametersFailed": "加载参数失败",
- "parametersFailedDesc": "加载初始图像失败",
+ "parametersFailedDesc": "加载初始图像失败。",
"seedSet": "种子已设定",
"seedNotSet": "种子未设定",
- "seedNotSetDesc": "无法找到该图像的种子",
- "promptSet": "提示已设定",
- "promptNotSet": "提示未设定",
- "promptNotSetDesc": "无法找到该图像的提示",
+ "seedNotSetDesc": "无法找到该图像的种子。",
+ "promptSet": "提示词已设定",
+ "promptNotSet": "提示词未设定",
+ "promptNotSetDesc": "无法找到该图像的提示词。",
"upscalingFailed": "放大失败",
- "faceRestoreFailed": "脸部修复失败",
+ "faceRestoreFailed": "面部修复失败",
"metadataLoadFailed": "加载元数据失败",
"initialImageSet": "初始图像已设定",
"initialImageNotSet": "初始图像未设定",
- "initialImageNotSetDesc": "无法加载初始图像"
+ "initialImageNotSetDesc": "无法加载初始图像",
+ "problemCopyingImageLink": "无法复制图片链接",
+ "uploadFailedInvalidUploadDesc": "必须是单张的 PNG 或 JPEG 图片",
+ "disconnected": "服务器断开",
+ "connected": "服务器连接",
+ "parameterSet": "参数已设定",
+ "parameterNotSet": "参数未设定",
+ "serverError": "服务器错误",
+ "canceled": "处理取消",
+ "nodesLoaded": "节点已加载",
+ "nodesSaved": "节点已保存",
+ "problemCopyingImage": "无法复制图像",
+ "nodesCorruptedGraph": "无法加载。节点图似乎已损坏。",
+ "nodesBrokenConnections": "无法加载。部分连接已断开。",
+ "nodesUnrecognizedTypes": "无法加载。节点图有无法识别的节点类型",
+ "nodesNotValidJSON": "无效的 JSON",
+ "nodesNotValidGraph": "无效的 InvokeAi 节点图",
+ "nodesCleared": "节点已清空",
+ "nodesLoadedFailed": "节点图加载失败",
+ "modelAddedSimple": "已添加模型",
+ "modelAdded": "已添加模型: {{modelName}}",
+ "imageSavingFailed": "图像保存失败",
+ "canvasSentControlnetAssets": "画布已发送到 ControlNet & 素材",
+ "problemCopyingCanvasDesc": "无法导出基础层",
+ "loadedWithWarnings": "已加载带有警告的工作流",
+ "setInitialImage": "设为初始图像",
+ "canvasCopiedClipboard": "画布已复制到剪贴板",
+ "setControlImage": "设为控制图像",
+ "setNodeField": "设为节点字段",
+ "problemSavingMask": "保存遮罩时出现问题",
+ "problemSavingCanvasDesc": "无法导出基础层",
+ "maskSavedAssets": "遮罩已保存到素材",
+ "modelAddFailed": "模型添加失败",
+ "problemDownloadingCanvas": "下载画布时出现问题",
+ "problemMergingCanvas": "合并画布时出现问题",
+ "setCanvasInitialImage": "设为画布初始图像",
+ "imageUploaded": "图像已上传",
+ "addedToBoard": "已添加到面板",
+ "workflowLoaded": "工作流已加载",
+ "problemImportingMaskDesc": "无法导出遮罩",
+ "problemCopyingCanvas": "复制画布时出现问题",
+ "problemSavingCanvas": "保存画布时出现问题",
+ "canvasDownloaded": "画布已下载",
+ "setIPAdapterImage": "设为 IP Adapter 图像",
+ "problemMergingCanvasDesc": "无法导出基础层",
+ "problemDownloadingCanvasDesc": "无法导出基础层",
+ "problemSavingMaskDesc": "无法导出遮罩",
+ "imageSaved": "图像已保存",
+ "maskSentControlnetAssets": "遮罩已发送到 ControlNet & 素材",
+ "canvasSavedGallery": "画布已保存到图库",
+ "imageUploadFailed": "图像上传失败",
+ "problemImportingMask": "导入遮罩时出现问题",
+ "baseModelChangedCleared_other": "基础模型已更改, 已清除或禁用 {{number}} 个不兼容的子模型"
},
"unifiedCanvas": {
"layer": "图层",
"base": "基础层",
- "mask": "遮罩层层",
- "maskingOptions": "遮罩层选项",
- "enableMask": "启用遮罩层",
- "preserveMaskedArea": "保留遮罩层区域",
- "clearMask": "清除遮罩层",
+ "mask": "遮罩",
+ "maskingOptions": "遮罩选项",
+ "enableMask": "启用遮罩",
+ "preserveMaskedArea": "保留遮罩区域",
+ "clearMask": "清除遮罩",
"brush": "刷子",
"eraser": "橡皮擦",
"fillBoundingBox": "填充选择区域",
@@ -455,10 +748,10 @@
"autoSaveToGallery": "自动保存至图库",
"saveBoxRegionOnly": "只保存框内区域",
"limitStrokesToBox": "限制画笔在框内",
- "showCanvasDebugInfo": "显示画布调试信息",
+ "showCanvasDebugInfo": "显示附加画布信息",
"clearCanvasHistory": "清除画布历史",
"clearHistory": "清除历史",
- "clearCanvasHistoryMessage": "清除画布历史不会影响当前画布，但会不可撤销地清除所有撤销/重做历史！",
+ "clearCanvasHistoryMessage": "清除画布历史不会影响当前画布，但会不可撤销地清除所有撤销/重做历史。",
"clearCanvasHistoryConfirm": "确认清除所有画布历史？",
"emptyTempImageFolder": "清除临时文件夹",
"emptyFolder": "清除文件夹",
@@ -480,7 +773,10 @@
"betaClear": "清除",
"betaDarkenOutside": "暗化外部区域",
"betaLimitToBox": "限制在框内",
- "betaPreserveMasked": "保留遮罩层"
+ "betaPreserveMasked": "保留遮罩层",
+ "antialiasing": "抗锯齿",
+ "showResultsOn": "显示结果 (开)",
+ "showResultsOff": "显示结果 (关)"
},
"accessibility": {
"modelSelect": "模型选择",
@@ -490,13 +786,688 @@
"useThisParameter": "使用此参数",
"uploadImage": "上传图片",
"previousImage": "上一张图片",
- "copyMetadataJson": "复制JSON元数据",
- "exitViewer": "退出视口（ExitViewer）",
+ "copyMetadataJson": "复制 JSON 元数据",
+ "exitViewer": "退出查看器",
"zoomIn": "放大",
"zoomOut": "缩小",
"rotateCounterClockwise": "逆时针旋转",
"rotateClockwise": "顺时针旋转",
"flipHorizontally": "水平翻转",
- "flipVertically": "垂直翻转"
+ "flipVertically": "垂直翻转",
+ "showOptionsPanel": "显示侧栏浮窗",
+ "toggleLogViewer": "切换日志查看器",
+ "modifyConfig": "修改配置",
+ "toggleAutoscroll": "切换自动缩放",
+ "menu": "菜单",
+ "showGalleryPanel": "显示图库浮窗",
+ "loadMore": "加载更多"
+ },
+ "ui": {
+ "showProgressImages": "显示处理中的图片",
+ "hideProgressImages": "隐藏处理中的图片",
+ "swapSizes": "XY 尺寸互换",
+ "lockRatio": "锁定纵横比"
+ },
+ "tooltip": {
+ "feature": {
+ "prompt": "这是提示词区域。提示词包括生成对象和风格术语。您也可以在提示词中添加权重（Token 的重要性），但命令行命令和参数不起作用。",
+ "imageToImage": "图生图模式加载任何图像作为初始图像，然后与提示词一起用于生成新图像。值越高，结果图像的变化就越大。可能的值为 0.0 到 1.0，建议的范围是 0.25 到 0.75",
+ "upscale": "使用 ESRGAN 可以在图片生成后立即放大图片。",
+ "variations": "尝试将变化值设置在 0.1 到 1.0 之间，以更改给定种子的结果。种子的变化在 0.1 到 0.3 之间会很有趣。",
+ "boundingBox": "边界框的高和宽的设定对文生图和图生图模式是一样的，只有边界框中的区域会被处理。",
+ "other": "这些选项将为 Invoke 启用替代处理模式。 \"无缝拼贴\" 将在输出中创建重复图案。\"高分辨率\" 是通过图生图进行两步生成：当您想要更大、更连贯且不带伪影的图像时，请使用此设置。这将比通常的文生图需要更长的时间。",
+ "faceCorrection": "使用 GFPGAN 或 Codeformer 进行人脸校正：该算法会检测图像中的人脸并纠正任何缺陷。较高的值将更改图像，并产生更有吸引力的人脸。在保留较高保真度的情况下使用 Codeformer 将导致更强的人脸校正，同时也会保留原始图像。",
+ "gallery": "图片库展示输出文件夹中的图片，设置和文件一起储存，可以通过内容菜单访问。",
+ "seed": "种子值影响形成图像的初始噪声。您可以使用以前图像中已存在的种子。 “噪声阈值”用于减轻在高 CFG 等级（尝试 0 - 10 范围）下的伪像，并使用 Perlin 在生成过程中添加 Perlin 噪声：这两者都可以为您的输出添加变化。",
+ "seamCorrection": "控制在画布上生成的图像之间出现的可见接缝的处理方式。",
+ "infillAndScaling": "管理填充方法（用于画布的遮罩或擦除区域）和缩放（对于较小的边界框大小非常有用）。"
+ }
+ },
+ "nodes": {
+ "zoomInNodes": "放大",
+ "resetWorkflowDesc": "是否确定要清空节点图?",
+ "resetWorkflow": "清空节点图",
+ "loadWorkflow": "读取节点图",
+ "zoomOutNodes": "缩小",
+ "resetWorkflowDesc2": "重置节点图将清除所有节点、边际和节点图详情.",
+ "reloadNodeTemplates": "重载节点模板",
+ "hideGraphNodes": "隐藏节点图信息",
+ "fitViewportNodes": "自适应视图",
+ "showMinimapnodes": "显示缩略图",
+ "hideMinimapnodes": "隐藏缩略图",
+ "showLegendNodes": "显示字段类型图例",
+ "hideLegendNodes": "隐藏字段类型图例",
+ "showGraphNodes": "显示节点图信息",
+ "downloadWorkflow": "下载节点图 JSON",
+ "workflowDescription": "简述",
+ "versionUnknown": " 未知版本",
+ "noNodeSelected": "无选中的节点",
+ "addNode": "添加节点",
+ "unableToValidateWorkflow": "无法验证工作流",
+ "noOutputRecorded": "无已记录输出",
+ "updateApp": "升级 App",
+ "colorCodeEdgesHelp": "根据连接区域对边缘编码颜色",
+ "workflowContact": "联系",
+ "animatedEdges": "边缘动效",
+ "nodeTemplate": "节点模板",
+ "pickOne": "选择一个",
+ "unableToLoadWorkflow": "无法验证工作流",
+ "snapToGrid": "对齐网格",
+ "noFieldsLinearview": "线性视图中未添加任何字段",
+ "nodeSearch": "检索节点",
+ "version": "版本",
+ "validateConnections": "验证连接和节点图",
+ "inputMayOnlyHaveOneConnection": "输入仅能有一个连接",
+ "notes": "节点",
+ "nodeOutputs": "节点输出",
+ "currentImageDescription": "在节点编辑器中显示当前图像",
+ "validateConnectionsHelp": "防止建立无效连接和调用无效节点图",
+ "problemSettingTitle": "设定标题时出现问题",
+ "noConnectionInProgress": "没有正在进行的连接",
+ "workflowVersion": "版本",
+ "noConnectionData": "无连接数据",
+ "fieldTypesMustMatch": "类型必须匹配",
+ "workflow": "工作流",
+ "unkownInvocation": "未知调用类型",
+ "animatedEdgesHelp": "为选中边缘和其连接的选中节点的边缘添加动画",
+ "unknownTemplate": "未知模板",
+ "removeLinearView": "从线性视图中移除",
+ "workflowTags": "标签",
+ "fullyContainNodesHelp": "节点必须完全位于选择框中才能被选中",
+ "workflowValidation": "工作流验证错误",
+ "noMatchingNodes": "无相匹配的节点",
+ "executionStateInProgress": "处理中",
+ "noFieldType": "无字段类型",
+ "executionStateError": "错误",
+ "executionStateCompleted": "已完成",
+ "workflowAuthor": "作者",
+ "currentImage": "当前图像",
+ "workflowName": "名称",
+ "cannotConnectInputToInput": "无法将输入连接到输入",
+ "workflowNotes": "节点",
+ "cannotConnectOutputToOutput": "无法将输出连接到输出",
+ "connectionWouldCreateCycle": "连接将创建一个循环",
+ "cannotConnectToSelf": "无法连接自己",
+ "notesDescription": "添加有关您的工作流的节点",
+ "unknownField": "未知",
+ "colorCodeEdges": "边缘颜色编码",
+ "unknownNode": "未知节点",
+ "addNodeToolTip": "添加节点 (Shift+A, Space)",
+ "loadingNodes": "加载节点中...",
+ "snapToGridHelp": "移动时将节点与网格对齐",
+ "workflowSettings": "工作流编辑器设置",
+ "booleanPolymorphicDescription": "一个布尔值合集。",
+ "scheduler": "调度器",
+ "inputField": "输入",
+ "controlFieldDescription": "节点间传递的控制信息。",
+ "skippingUnknownOutputType": "跳过未知类型的输出",
+ "latentsFieldDescription": "Latents 可以在节点间传递。",
+ "denoiseMaskFieldDescription": "去噪遮罩可以在节点间传递",
+ "missingTemplate": "缺失模板",
+ "outputSchemaNotFound": "未找到输出模式",
+ "latentsPolymorphicDescription": "Latents 可以在节点间传递。",
+ "colorFieldDescription": "一种 RGBA 颜色。",
+ "mainModelField": "模型",
+ "unhandledInputProperty": "未处理的输入属性",
+ "maybeIncompatible": "可能与已安装的不兼容",
+ "collectionDescription": "待办事项",
+ "skippingReservedFieldType": "跳过保留类型",
+ "booleanCollectionDescription": "一个布尔值合集。",
+ "sDXLMainModelFieldDescription": "SDXL 模型。",
+ "boardField": "面板",
+ "problemReadingWorkflow": "从图像读取工作流时出现问题",
+ "sourceNode": "源节点",
+ "nodeOpacity": "节点不透明度",
+ "collectionItemDescription": "待办事项",
+ "integerDescription": "整数是没有与小数点的数字。",
+ "outputField": "输出",
+ "skipped": "跳过",
+ "updateNode": "更新节点",
+ "sDXLRefinerModelFieldDescription": "待办事项",
+ "imagePolymorphicDescription": "一个图像合集。",
+ "doesNotExist": "不存在",
+ "unableToParseNode": "无法解析节点",
+ "controlCollection": "控制合集",
+ "collectionItem": "项目合集",
+ "controlCollectionDescription": "节点间传递的控制信息。",
+ "skippedReservedInput": "跳过保留的输入",
+ "outputFields": "输出",
+ "edge": "边缘",
+ "inputNode": "输入节点",
+ "enumDescription": "枚举 (Enums) 可能是多个选项的一个数值。",
+ "loRAModelFieldDescription": "待办事项",
+ "imageField": "图像",
+ "skippedReservedOutput": "跳过保留的输出",
+ "noWorkflow": "无工作流",
+ "colorCollectionDescription": "待办事项",
+ "colorPolymorphicDescription": "一个颜色合集。",
+ "sDXLMainModelField": "SDXL 模型",
+ "denoiseMaskField": "去噪遮罩",
+ "schedulerDescription": "待办事项",
+ "missingCanvaInitImage": "缺失画布初始图像",
+ "clipFieldDescription": "词元分析器和文本编码器的子模型。",
+ "noImageFoundState": "状态中未发现初始图像",
+ "nodeType": "节点类型",
+ "fullyContainNodes": "完全包含节点来进行选择",
+ "noOutputSchemaName": "在 ref 对象中找不到输出模式名称",
+ "vaeModelFieldDescription": "待办事项",
+ "skippingInputNoTemplate": "跳过无模板的输入",
+ "missingCanvaInitMaskImages": "缺失初始化画布和遮罩图像",
+ "problemReadingMetadata": "从图像读取元数据时出现问题",
+ "oNNXModelField": "ONNX 模型",
+ "node": "节点",
+ "skippingUnknownInputType": "跳过未知类型的输入",
+ "booleanDescription": "布尔值为真或为假。",
+ "collection": "合集",
+ "invalidOutputSchema": "无效的输出模式",
+ "boardFieldDescription": "图库面板",
+ "floatDescription": "浮点数是带小数点的数字。",
+ "unhandledOutputProperty": "未处理的输出属性",
+ "string": "字符串",
+ "inputFields": "输入",
+ "uNetFieldDescription": "UNet 子模型。",
+ "mismatchedVersion": "不匹配的版本",
+ "vaeFieldDescription": "Vae 子模型。",
+ "imageFieldDescription": "图像可以在节点间传递。",
+ "outputNode": "输出节点",
+ "mainModelFieldDescription": "待办事项",
+ "sDXLRefinerModelField": "Refiner 模型",
+ "unableToParseEdge": "无法解析边缘",
+ "latentsCollectionDescription": "Latents 可以在节点间传递。",
+ "oNNXModelFieldDescription": "ONNX 模型。",
+ "cannotDuplicateConnection": "无法创建重复的连接",
+ "ipAdapterModel": "IP-Adapter 模型",
+ "ipAdapterDescription": "图像提示词自适应 (IP-Adapter)。",
+ "ipAdapterModelDescription": "IP-Adapter 模型",
+ "floatCollectionDescription": "一个浮点数合集。",
+ "enum": "Enum (枚举)",
+ "integerPolymorphicDescription": "一个整数值合集。",
+ "float": "浮点",
+ "integer": "整数",
+ "colorField": "颜色",
+ "stringCollectionDescription": "一个字符串合集。",
+ "stringCollection": "字符串合集",
+ "uNetField": "UNet",
+ "integerCollection": "整数合集",
+ "vaeModelField": "VAE",
+ "integerCollectionDescription": "一个整数值合集。",
+ "clipField": "Clip",
+ "stringDescription": "字符串是指文本。",
+ "colorCollection": "一个颜色合集。",
+ "boolean": "布尔值",
+ "stringPolymorphicDescription": "一个字符串合集。",
+ "controlField": "控制信息",
+ "floatPolymorphicDescription": "一个浮点数合集。",
+ "vaeField": "Vae",
+ "floatCollection": "浮点合集",
+ "booleanCollection": "布尔值合集",
+ "imageCollectionDescription": "一个图像合集。",
+ "loRAModelField": "LoRA",
+ "imageCollection": "图像合集"
+ },
+ "controlnet": {
+ "resize": "直接缩放",
+ "showAdvanced": "显示高级",
+ "contentShuffleDescription": "随机打乱图像内容",
+ "importImageFromCanvas": "从画布导入图像",
+ "lineartDescription": "将图像转换为线稿",
+ "importMaskFromCanvas": "从画布导入遮罩",
+ "hideAdvanced": "隐藏高级",
+ "ipAdapterModel": "Adapter 模型",
+ "resetControlImage": "重置控制图像",
+ "beginEndStepPercent": "开始 / 结束步数百分比",
+ "mlsdDescription": "简洁的分割线段（直线）检测器",
+ "duplicate": "复制",
+ "balanced": "平衡",
+ "prompt": "Prompt (提示词控制)",
+ "depthMidasDescription": "使用 Midas 生成深度图",
+ "openPoseDescription": "使用 Openpose 进行人体姿态估计",
+ "resizeMode": "缩放模式",
+ "weight": "权重",
+ "selectModel": "选择一个模型",
+ "crop": "裁剪",
+ "processor": "处理器",
+ "none": "无",
+ "incompatibleBaseModel": "不兼容的基础模型：",
+ "enableControlnet": "启用 ControlNet",
+ "detectResolution": "检测分辨率",
+ "pidiDescription": "像素差分 (PIDI) 图像处理",
+ "controlMode": "控制模式",
+ "fill": "填充",
+ "cannyDescription": "Canny 边缘检测",
+ "colorMapDescription": "从图像生成一张颜色图",
+ "imageResolution": "图像分辨率",
+ "autoConfigure": "自动配置处理器",
+ "normalBaeDescription": "法线 BAE 处理",
+ "noneDescription": "不应用任何处理",
+ "saveControlImage": "保存控制图像",
+ "toggleControlNet": "开关此 ControlNet",
+ "delete": "删除",
+ "colorMapTileSize": "分块大小",
+ "ipAdapterImageFallback": "无已选择的 IP Adapter 图像",
+ "mediapipeFaceDescription": "使用 Mediapipe 检测面部",
+ "depthZoeDescription": "使用 Zoe 生成深度图",
+ "hedDescription": "整体嵌套边缘检测",
+ "setControlImageDimensions": "设定控制图像尺寸宽/高为",
+ "resetIPAdapterImage": "重置 IP Adapter 图像",
+ "handAndFace": "手部和面部",
+ "enableIPAdapter": "启用 IP Adapter",
+ "amult": "角度倍率 (a_mult)",
+ "bgth": "背景移除阈值 (bg_th)",
+ "lineartAnimeDescription": "动漫风格线稿处理",
+ "minConfidence": "最小置信度",
+ "lowThreshold": "弱判断阈值",
+ "highThreshold": "强判断阈值",
+ "addT2IAdapter": "添加 $t(common.t2iAdapter)",
+ "controlNetEnabledT2IDisabled": "$t(common.controlNet) 已启用, $t(common.t2iAdapter) 已禁用",
+ "t2iEnabledControlNetDisabled": "$t(common.t2iAdapter) 已启用, $t(common.controlNet) 已禁用",
+ "addControlNet": "添加 $t(common.controlNet)",
+ "controlNetT2IMutexDesc": "$t(common.controlNet) 和 $t(common.t2iAdapter) 目前不支持同时启用。",
+ "addIPAdapter": "添加 $t(common.ipAdapter)",
+ "safe": "保守模式",
+ "scribble": "草绘 (scribble)",
+ "maxFaces": "最大面部数",
+ "pidi": "PIDI",
+ "normalBae": "Normal BAE",
+ "hed": "HED",
+ "contentShuffle": "Content Shuffle",
+ "f": "F",
+ "h": "H",
+ "controlnet": "$t(controlnet.controlAdapter) #{{number}} ($t(common.controlNet))",
+ "control": "Control (普通控制)",
+ "coarse": "Coarse",
+ "depthMidas": "Depth (Midas)",
+ "w": "W",
+ "ip_adapter": "$t(controlnet.controlAdapter) #{{number}} ($t(common.ipAdapter))",
+ "mediapipeFace": "Mediapipe Face",
+ "mlsd": "M-LSD",
+ "lineart": "Lineart",
+ "t2i_adapter": "$t(controlnet.controlAdapter) #{{number}} ($t(common.t2iAdapter))",
+ "megaControl": "Mega Control (超级控制)",
+ "depthZoe": "Depth (Zoe)",
+ "colorMap": "Color",
+ "openPose": "Openpose",
+ "controlAdapter": "Control Adapter",
+ "lineartAnime": "Lineart Anime",
+ "canny": "Canny"
+ },
+ "queue": {
+ "status": "状态",
+ "cancelTooltip": "取消当前项目",
+ "queueEmpty": "队列为空",
+ "pauseSucceeded": "处理器已暂停",
+ "in_progress": "处理中",
+ "queueFront": "添加到队列前",
+ "completed": "已完成",
+ "queueBack": "添加到队列",
+ "cancelFailed": "取消项目时出现问题",
+ "pauseFailed": "暂停处理器时出现问题",
+ "clearFailed": "清除队列时出现问题",
+ "clearSucceeded": "队列已清除",
+ "pause": "暂停",
+ "cancelSucceeded": "项目已取消",
+ "queue": "队列",
+ "batch": "批处理",
+ "clearQueueAlertDialog": "清除队列时会立即取消所有处理中的项目并且会完全清除队列。",
+ "pending": "待定",
+ "completedIn": "完成于",
+ "resumeFailed": "恢复处理器时出现问题",
+ "clear": "清除",
+ "prune": "修剪",
+ "total": "总计",
+ "canceled": "已取消",
+ "pruneFailed": "修剪队列时出现问题",
+ "cancelBatchSucceeded": "批处理已取消",
+ "clearTooltip": "取消并清除所有项目",
+ "current": "当前",
+ "pauseTooltip": "暂停处理器",
+ "failed": "已失败",
+ "cancelItem": "取消项目",
+ "next": "下一个",
+ "cancelBatch": "取消批处理",
+ "cancel": "取消",
+ "resumeSucceeded": "处理器已恢复",
+ "resumeTooltip": "恢复处理器",
+ "resume": "恢复",
+ "cancelBatchFailed": "取消批处理时出现问题",
+ "clearQueueAlertDialog2": "您确定要清除队列吗？",
+ "item": "项目",
+ "pruneSucceeded": "从队列修剪 {{item_count}} 个已完成的项目",
+ "notReady": "无法排队",
+ "batchFailedToQueue": "批次加入队列失败",
+ "batchValues": "批次数",
+ "queueCountPrediction": "添加 {{predicted}} 到队列",
+ "batchQueued": "加入队列的批次",
+ "queuedCount": "{{pending}} 待处理",
+ "front": "前",
+ "pruneTooltip": "修剪 {{item_count}} 个已完成的项目",
+ "batchQueuedDesc": "在队列的 {{direction}} 中添加了 {{item_count}} 个会话",
+ "graphQueued": "节点图已加入队列",
+ "back": "后",
+ "session": "会话",
+ "queueTotal": "总计 {{total}}",
+ "enqueueing": "队列中的批次",
+ "queueMaxExceeded": "超出最大值 {{max_queue_size}}，将跳过 {{skip}}",
+ "graphFailedToQueue": "节点图加入队列失败"
+ },
+ "sdxl": {
+ "refinerStart": "Refiner 开始作用时机",
+ "selectAModel": "选择一个模型",
+ "scheduler": "调度器",
+ "cfgScale": "CFG 等级",
+ "negStylePrompt": "负向样式提示词",
+ "noModelsAvailable": "无可用模型",
+ "negAestheticScore": "负向美学评分",
+ "useRefiner": "启用 Refiner",
+ "denoisingStrength": "去噪强度",
+ "refinermodel": "Refiner 模型",
+ "posAestheticScore": "正向美学评分",
+ "concatPromptStyle": "连接提示词 & 样式",
+ "loading": "加载中...",
+ "steps": "步数",
+ "posStylePrompt": "正向样式提示词",
+ "refiner": "Refiner"
+ },
+ "metadata": {
+ "positivePrompt": "正向提示词",
+ "negativePrompt": "负向提示词",
+ "generationMode": "生成模式",
+ "Threshold": "噪声阈值",
+ "metadata": "元数据",
+ "strength": "图生图强度",
+ "seed": "种子",
+ "imageDetails": "图像详细信息",
+ "perlin": "Perlin 噪声",
+ "model": "模型",
+ "noImageDetails": "未找到图像详细信息",
+ "hiresFix": "高分辨率优化",
+ "cfgScale": "CFG 等级",
+ "initImage": "初始图像",
+ "height": "高度",
+ "variations": "(成对/第二)种子权重",
+ "noMetaData": "未找到元数据",
+ "width": "宽度",
+ "createdBy": "创建者是",
+ "workflow": "工作流",
+ "steps": "步数",
+ "scheduler": "调度器",
+ "seamless": "无缝",
+ "fit": "图生图适应"
+ },
+ "models": {
+ "noMatchingModels": "无相匹配的模型",
+ "loading": "加载中",
+ "noMatchingLoRAs": "无相匹配的 LoRA",
+ "noLoRAsAvailable": "无可用 LoRA",
+ "noModelsAvailable": "无可用模型",
+ "selectModel": "选择一个模型",
+ "selectLoRA": "选择一个 LoRA"
+ },
+ "boards": {
+ "autoAddBoard": "自动添加面板",
+ "topMessage": "该面板包含的图像正使用以下功能：",
+ "move": "移动",
+ "menuItemAutoAdd": "自动添加到该面板",
+ "myBoard": "我的面板",
+ "searchBoard": "检索面板...",
+ "noMatching": "没有相匹配的面板",
+ "selectBoard": "选择一个面板",
+ "cancel": "取消",
+ "addBoard": "添加面板",
+ "bottomMessage": "删除该面板并且将其对应的图像将重置当前使用该面板的所有功能。",
+ "uncategorized": "未分类",
+ "changeBoard": "更改面板",
+ "loading": "加载中...",
+ "clearSearch": "清除检索",
+ "downloadBoard": "下载面板"
+ },
+ "embedding": {
+ "noMatchingEmbedding": "不匹配的 Embedding",
+ "addEmbedding": "添加 Embedding",
+ "incompatibleModel": "不兼容的基础模型："
+ },
+ "dynamicPrompts": {
+ "seedBehaviour": {
+ "perPromptDesc": "每次生成图像使用不同的种子",
+ "perIterationLabel": "每次迭代的种子",
+ "perIterationDesc": "每次迭代使用不同的种子",
+ "perPromptLabel": "每张图像的种子",
+ "label": "种子行为"
+ },
+ "enableDynamicPrompts": "启用动态提示词",
+ "combinatorial": "组合生成",
+ "maxPrompts": "最大提示词数",
+ "dynamicPrompts": "动态提示词",
+ "promptsWithCount_other": "{{count}} 个提示词"
+ },
+ "popovers": {
+ "compositingMaskAdjustments": {
+ "heading": "遮罩调整",
+ "paragraphs": [
+ "调整遮罩。"
+ ]
+ },
+ "paramRatio": {
+ "heading": "纵横比",
+ "paragraphs": [
+ "生成图像的尺寸纵横比。",
+ "图像尺寸（单位：像素）建议 SD 1.5 模型使用等效 512x512 的尺寸，SDXL 模型使用等效 1024x1024 的尺寸。"
+ ]
+ },
+ "compositingCoherenceSteps": {
+ "heading": "步数",
+ "paragraphs": [
+ "一致性层中使用的去噪步数。",
+ "与主参数中的步数相同。"
+ ]
+ },
+ "compositingBlur": {
+ "heading": "模糊",
+ "paragraphs": [
+ "遮罩模糊半径。"
+ ]
+ },
+ "noiseUseCPU": {
+ "heading": "使用 CPU 噪声",
+ "paragraphs": [
+ "选择由 CPU 或 GPU 生成噪声。",
+ "启用 CPU 噪声后，特定的种子将会在不同的设备上产生下相同的图像。",
+ "启用 CPU 噪声不会对性能造成影响。"
+ ]
+ },
+ "paramVAEPrecision": {
+ "heading": "VAE 精度",
+ "paragraphs": [
+ "VAE 编解码过程种使用的精度。FP16/半精度以微小的图像变化为代价提高效率。"
+ ]
+ },
+ "compositingCoherenceMode": {
+ "heading": "模式",
+ "paragraphs": [
+ "一致性层模式。"
+ ]
+ },
+ "controlNetResizeMode": {
+ "heading": "缩放模式",
+ "paragraphs": [
+ "ControlNet 输入图像适应输出图像大小的方法。"
+ ]
+ },
+ "clipSkip": {
+ "paragraphs": [
+ "选择要跳过 CLIP 模型多少层。",
+ "部分模型跳过特定数值的层时效果会更好。",
+ "较高的数值通常会导致图像细节更少。"
+ ],
+ "heading": "CLIP 跳过层"
+ },
+ "paramModel": {
+ "heading": "模型",
+ "paragraphs": [
+ "用于去噪过程的模型。",
+ "不同的模型一般会通过接受训练来专门产生特定的美学内容和结果。"
+ ]
+ },
+ "paramIterations": {
+ "heading": "迭代数",
+ "paragraphs": [
+ "生成图像的数量。",
+ "若启用动态提示词，每种提示词都会生成这么多次。"
+ ]
+ },
+ "compositingCoherencePass": {
+ "heading": "一致性层",
+ "paragraphs": [
+ "第二轮去噪有助于合成内补/外扩图像。"
+ ]
+ },
+ "compositingStrength": {
+ "heading": "强度",
+ "paragraphs": [
+ "一致性层使用的去噪强度。",
+ "去噪强度与图生图的参数相同。"
+ ]
+ },
+ "paramNegativeConditioning": {
+ "paragraphs": [
+ "生成过程会避免生成负向提示词中的概念。使用此选项来使输出排除部分质量或对象。",
+ "支持 Compel 语法 和 embeddings。"
+ ],
+ "heading": "负向提示词"
+ },
+ "compositingBlurMethod": {
+ "heading": "模糊方式",
+ "paragraphs": [
+ "应用于遮罩区域的模糊方法。"
+ ]
+ },
+ "paramScheduler": {
+ "heading": "调度器",
+ "paragraphs": [
+ "调度器 (采样器) 定义如何在图像迭代过程中添加噪声，或者定义如何根据一个模型的输出来更新采样。"
+ ]
+ },
+ "controlNetWeight": {
+ "heading": "权重",
+ "paragraphs": [
+ "ControlNet 对生成图像的影响强度。"
+ ]
+ },
+ "paramCFGScale": {
+ "heading": "CFG 等级",
+ "paragraphs": [
+ "控制提示词对生成过程的影响程度。"
+ ]
+ },
+ "paramSteps": {
+ "heading": "步数",
+ "paragraphs": [
+ "每次生成迭代执行的步数。",
+ "通常情况下步数越多结果越好，但需要更多生成时间。"
+ ]
+ },
+ "paramPositiveConditioning": {
+ "heading": "正向提示词",
+ "paragraphs": [
+ "引导生成过程。您可以使用任何单词或短语。",
+ "Compel 语法、动态提示词语法和 embeddings。"
+ ]
+ },
+ "lora": {
+ "heading": "LoRA 权重",
+ "paragraphs": [
+ "更高的 LoRA 权重会对最终图像产生更大的影响。"
+ ]
+ },
+ "infillMethod": {
+ "heading": "填充方法",
+ "paragraphs": [
+ "填充选定区域的方式。"
+ ]
+ },
+ "controlNetBeginEnd": {
+ "heading": "开始 / 结束步数百分比",
+ "paragraphs": [
+ "去噪过程中在哪部分步数应用 ControlNet。",
+ "在组合处理开始阶段应用 ControlNet，且在引导细节生成的结束阶段应用 ControlNet。"
+ ]
+ },
+ "scaleBeforeProcessing": {
+ "heading": "处理前缩放",
+ "paragraphs": [
+ "生成图像前将所选区域缩放为最适合模型的大小。"
+ ]
+ },
+ "paramDenoisingStrength": {
+ "heading": "去噪强度",
+ "paragraphs": [
+ "为输入图像添加的噪声量。",
+ "输入 0 会导致结果图像和输入完全相同，输入 1 则会生成全新的图像。"
+ ]
+ },
+ "paramSeed": {
+ "heading": "种子",
+ "paragraphs": [
+ "控制用于生成的起始噪声。",
+ "禁用 “随机种子” 来以相同设置生成相同的结果。"
+ ]
+ },
+ "controlNetControlMode": {
+ "heading": "控制模式",
+ "paragraphs": [
+ "给提示词或 ControlNet 增加更大的权重。"
+ ]
+ },
+ "dynamicPrompts": {
+ "paragraphs": [
+ "动态提示词可将单个提示词解析为多个。",
+ "基本语法示例：\"a {red|green|blue} ball\"。这会产生三种提示词：\"a red ball\", \"a green ball\" 和 \"a blue ball\"。",
+ "可以在单个提示词中多次使用该语法，但务必请使用最大提示词设置来控制生成的提示词数量。"
+ ],
+ "heading": "动态提示词"
+ },
+ "paramVAE": {
+ "paragraphs": [
+ "用于将 AI 输出转换成最终图像的模型。"
+ ],
+ "heading": "VAE"
+ },
+ "dynamicPromptsSeedBehaviour": {
+ "paragraphs": [
+ "控制生成提示词时种子的使用方式。",
+ "每次迭代过程都会使用一个唯一的种子。使用本选项来探索单个种子的提示词变化。",
+ "例如，如果你有 5 种提示词，则生成的每个图像都会使用相同种子。",
+ "为每张图像使用独立的唯一种子。这可以提供更多变化。"
+ ],
+ "heading": "种子行为"
+ },
+ "dynamicPromptsMaxPrompts": {
+ "heading": "最大提示词数量",
+ "paragraphs": [
+ "限制动态提示词可生成的提示词数量。"
+ ]
+ },
+ "controlNet": {
+ "paragraphs": [
+ "ControlNet 为生成过程提供引导，为生成具有受控构图、结构、样式的图像提供帮助，具体的功能由所选的模型决定。"
+ ],
+ "heading": "ControlNet"
+ }
+ },
+ "invocationCache": {
+ "disable": "禁用",
+ "misses": "缓存未中",
+ "enableFailed": "启用调用缓存时出现问题",
+ "invocationCache": "调用缓存",
+ "clearSucceeded": "调用缓存已清除",
+ "enableSucceeded": "调用缓存已启用",
+ "clearFailed": "清除调用缓存时出现问题",
+ "hits": "缓存命中",
+ "disableSucceeded": "调用缓存已禁用",
+ "disableFailed": "禁用调用缓存时出现问题",
+ "enable": "启用",
+ "clear": "清除",
+ "maxCacheSize": "最大缓存大小",
+ "cacheSize": "缓存大小"
}
}
diff --git a/invokeai/frontend/web/dist/locales/zh_Hant.json b/invokeai/frontend/web/dist/locales/zh_Hant.json
index 98b4882018..fe51856117 100644
--- a/invokeai/frontend/web/dist/locales/zh_Hant.json
+++ b/invokeai/frontend/web/dist/locales/zh_Hant.json
@@ -13,9 +13,6 @@
"settingsLabel": "設定",
"upload": "上傳",
"langArabic": "阿拉伯語",
- "greenTheme": "綠色",
- "lightTheme": "淺色",
- "darkTheme": "深色",
"discordLabel": "Discord",
"nodesDesc": "使用Node生成圖像的系統正在開發中。敬請期待有關於這項功能的更新。",
"reportBugLabel": "回報錯誤",
@@ -33,6 +30,24 @@
"langBrPortuguese": "巴西葡萄牙語",
"langRussian": "俄語",
"langSpanish": "西班牙語",
- "unifiedCanvas": "統一畫布"
+ "unifiedCanvas": "統一畫布",
+ "cancel": "取消",
+ "langHebrew": "希伯來語",
+ "txt2img": "文字轉圖片"
+ },
+ "accessibility": {
+ "modelSelect": "選擇模型",
+ "invokeProgressBar": "Invoke 進度條",
+ "uploadImage": "上傳圖片",
+ "reset": "重設",
+ "nextImage": "下一張圖片",
+ "previousImage": "上一張圖片",
+ "flipHorizontally": "水平翻轉",
+ "useThisParameter": "使用此參數",
+ "zoomIn": "放大",
+ "zoomOut": "縮小",
+ "flipVertically": "垂直翻轉",
+ "modifyConfig": "修改配置",
+ "menu": "選單"
}
}
diff --git a/invokeai/frontend/web/package.json b/invokeai/frontend/web/package.json
index e5f1513c89..59e672544a 100644
--- a/invokeai/frontend/web/package.json
+++ b/invokeai/frontend/web/package.json
@@ -54,42 +54,42 @@
]
},
"dependencies": {
- "@chakra-ui/anatomy": "^2.2.0",
- "@chakra-ui/icons": "^2.1.0",
- "@chakra-ui/react": "^2.8.0",
+ "@chakra-ui/anatomy": "^2.2.1",
+ "@chakra-ui/icons": "^2.1.1",
+ "@chakra-ui/react": "^2.8.1",
"@chakra-ui/styled-system": "^2.9.1",
- "@chakra-ui/theme-tools": "^2.1.0",
+ "@chakra-ui/theme-tools": "^2.1.1",
"@dagrejs/graphlib": "^2.1.13",
"@dnd-kit/core": "^6.0.8",
"@dnd-kit/modifiers": "^6.0.1",
"@dnd-kit/utilities": "^3.2.1",
"@emotion/react": "^11.11.1",
"@emotion/styled": "^11.11.0",
- "@floating-ui/react-dom": "^2.0.1",
- "@fontsource-variable/inter": "^5.0.8",
- "@fontsource/inter": "^5.0.8",
+ "@floating-ui/react-dom": "^2.0.2",
+ "@fontsource-variable/inter": "^5.0.13",
+ "@fontsource/inter": "^5.0.13",
"@mantine/core": "^6.0.19",
"@mantine/form": "^6.0.19",
"@mantine/hooks": "^6.0.19",
"@nanostores/react": "^0.7.1",
- "@reduxjs/toolkit": "^1.9.5",
- "@roarr/browser-log-writer": "^1.1.5",
+ "@reduxjs/toolkit": "^1.9.7",
+ "@roarr/browser-log-writer": "^1.3.0",
"@stevebel/png": "^1.5.1",
"compare-versions": "^6.1.0",
"dateformat": "^5.0.3",
- "formik": "^2.4.3",
- "framer-motion": "^10.16.1",
+ "formik": "^2.4.5",
+ "framer-motion": "^10.16.4",
"fuse.js": "^6.6.2",
- "i18next": "^23.4.4",
+ "i18next": "^23.5.1",
"i18next-browser-languagedetector": "^7.0.2",
- "i18next-http-backend": "^2.2.1",
- "konva": "^9.2.0",
+ "i18next-http-backend": "^2.2.2",
+ "konva": "^9.2.2",
"lodash-es": "^4.17.21",
"nanostores": "^0.9.2",
"new-github-issue-url": "^1.0.0",
- "openapi-fetch": "^0.7.4",
- "overlayscrollbars": "^2.2.0",
- "overlayscrollbars-react": "^0.5.0",
+ "openapi-fetch": "^0.7.10",
+ "overlayscrollbars": "^2.3.2",
+ "overlayscrollbars-react": "^0.5.2",
"patch-package": "^8.0.0",
"query-string": "^8.1.0",
"react": "^18.2.0",
@@ -98,25 +98,25 @@
"react-dropzone": "^14.2.3",
"react-error-boundary": "^4.0.11",
"react-hotkeys-hook": "4.4.1",
- "react-i18next": "^13.1.2",
- "react-icons": "^4.10.1",
+ "react-i18next": "^13.3.0",
+ "react-icons": "^4.11.0",
"react-konva": "^18.2.10",
- "react-redux": "^8.1.2",
+ "react-redux": "^8.1.3",
"react-resizable-panels": "^0.0.55",
"react-use": "^17.4.0",
- "react-virtuoso": "^4.5.0",
- "react-zoom-pan-pinch": "^3.0.8",
- "reactflow": "^11.8.3",
+ "react-virtuoso": "^4.6.1",
+ "react-zoom-pan-pinch": "^3.2.0",
+ "reactflow": "^11.9.3",
"redux-dynamic-middlewares": "^2.2.0",
- "redux-remember": "^4.0.1",
+ "redux-remember": "^4.0.4",
"roarr": "^7.15.1",
- "serialize-error": "^11.0.1",
+ "serialize-error": "^11.0.2",
"socket.io-client": "^4.7.2",
- "type-fest": "^4.2.0",
+ "type-fest": "^4.4.0",
"use-debounce": "^9.0.4",
"use-image": "^1.1.1",
- "uuid": "^9.0.0",
- "zod": "^3.22.2",
+ "uuid": "^9.0.1",
+ "zod": "^3.22.4",
"zod-validation-error": "^1.5.0"
},
"peerDependencies": {
@@ -129,40 +129,40 @@
"devDependencies": {
"@chakra-ui/cli": "^2.4.1",
"@types/dateformat": "^5.0.0",
- "@types/lodash-es": "^4.14.194",
- "@types/node": "^20.5.1",
- "@types/react": "^18.2.20",
- "@types/react-dom": "^18.2.6",
- "@types/react-redux": "^7.1.25",
- "@types/react-transition-group": "^4.4.6",
- "@types/uuid": "^9.0.2",
- "@typescript-eslint/eslint-plugin": "^6.4.1",
- "@typescript-eslint/parser": "^6.4.1",
- "@vitejs/plugin-react-swc": "^3.3.2",
- "axios": "^1.4.0",
+ "@types/lodash-es": "^4.17.9",
+ "@types/node": "^20.8.6",
+ "@types/react": "^18.2.28",
+ "@types/react-dom": "^18.2.13",
+ "@types/react-redux": "^7.1.27",
+ "@types/react-transition-group": "^4.4.7",
+ "@types/uuid": "^9.0.5",
+ "@typescript-eslint/eslint-plugin": "^6.7.5",
+ "@typescript-eslint/parser": "^6.7.5",
+ "@vitejs/plugin-react-swc": "^3.4.0",
+ "axios": "^1.5.1",
"babel-plugin-transform-imports": "^2.0.0",
- "concurrently": "^8.2.0",
- "eslint": "^8.47.0",
+ "concurrently": "^8.2.1",
+ "eslint": "^8.51.0",
"eslint-config-prettier": "^9.0.0",
- "eslint-plugin-prettier": "^5.0.0",
+ "eslint-plugin-prettier": "^5.0.1",
"eslint-plugin-react": "^7.33.2",
"eslint-plugin-react-hooks": "^4.6.0",
"form-data": "^4.0.0",
"husky": "^8.0.3",
- "lint-staged": "^14.0.1",
+ "lint-staged": "^15.0.1",
"madge": "^6.1.0",
"openapi-types": "^12.1.3",
- "openapi-typescript": "^6.5.2",
+ "openapi-typescript": "^6.7.0",
"postinstall-postinstall": "^2.1.0",
- "prettier": "^3.0.2",
+ "prettier": "^3.0.3",
"rollup-plugin-visualizer": "^5.9.2",
"ts-toolbelt": "^9.6.0",
"typescript": "^5.2.2",
- "vite": "^4.4.9",
+ "vite": "^4.4.11",
"vite-plugin-css-injected-by-js": "^3.3.0",
- "vite-plugin-dts": "^3.5.2",
+ "vite-plugin-dts": "^3.6.0",
"vite-plugin-eslint": "^1.8.1",
- "vite-tsconfig-paths": "^4.2.0",
+ "vite-tsconfig-paths": "^4.2.1",
"yarn": "^1.22.19"
}
}
diff --git a/invokeai/frontend/web/public/locales/ar.json b/invokeai/frontend/web/public/locales/ar.json
index e5168da4a8..7354b21ea0 100644
--- a/invokeai/frontend/web/public/locales/ar.json
+++ b/invokeai/frontend/web/public/locales/ar.json
@@ -1,13 +1,9 @@
{
"common": {
"hotkeysLabel": "مفاتيح الأختصار",
- "themeLabel": "الموضوع",
"languagePickerLabel": "منتقي اللغة",
"reportBugLabel": "بلغ عن خطأ",
"settingsLabel": "إعدادات",
- "darkTheme": "داكن",
- "lightTheme": "فاتح",
- "greenTheme": "أخضر",
"img2img": "صورة إلى صورة",
"unifiedCanvas": "لوحة موحدة",
"nodes": "عقد",
@@ -57,7 +53,6 @@
"maintainAspectRatio": "الحفاظ على نسبة الأبعاد",
"autoSwitchNewImages": "التبديل التلقائي إلى الصور الجديدة",
"singleColumnLayout": "تخطيط عمود واحد",
- "pinGallery": "تثبيت المعرض",
"allImagesLoaded": "تم تحميل جميع الصور",
"loadMore": "تحميل المزيد",
"noImagesInGallery": "لا توجد صور في المعرض"
@@ -342,7 +337,6 @@
"cfgScale": "مقياس الإعداد الذاتي للجملة",
"width": "عرض",
"height": "ارتفاع",
- "sampler": "مزج",
"seed": "بذرة",
"randomizeSeed": "تبديل بذرة",
"shuffle": "تشغيل",
@@ -364,10 +358,6 @@
"hiresOptim": "تحسين الدقة العالية",
"imageFit": "ملائمة الصورة الأولية لحجم الخرج",
"codeformerFidelity": "الوثوقية",
- "seamSize": "حجم التشقق",
- "seamBlur": "ضباب التشقق",
- "seamStrength": "قوة التشقق",
- "seamSteps": "خطوات التشقق",
"scaleBeforeProcessing": "تحجيم قبل المعالجة",
"scaledWidth": "العرض المحجوب",
"scaledHeight": "الارتفاع المحجوب",
@@ -378,8 +368,6 @@
"infillScalingHeader": "التعبئة والتحجيم",
"img2imgStrength": "قوة صورة إلى صورة",
"toggleLoopback": "تبديل الإعادة",
- "invoke": "إطلاق",
- "promptPlaceholder": "اكتب المحث هنا. [العلامات السلبية], (زيادة الوزن) ++, (نقص الوزن)--, التبديل و الخلط متاحة (انظر الوثائق)",
"sendTo": "أرسل إلى",
"sendToImg2Img": "أرسل إلى صورة إلى صورة",
"sendToUnifiedCanvas": "أرسل إلى الخطوط الموحدة",
@@ -393,7 +381,6 @@
"useAll": "استخدام الكل",
"useInitImg": "استخدام الصورة الأولية",
"info": "معلومات",
- "deleteImage": "حذف الصورة",
"initialImage": "الصورة الأولية",
"showOptionsPanel": "إظهار لوحة الخيارات"
},
@@ -403,7 +390,6 @@
"saveSteps": "حفظ الصور كل n خطوات",
"confirmOnDelete": "تأكيد عند الحذف",
"displayHelpIcons": "عرض أيقونات المساعدة",
- "useCanvasBeta": "استخدام مخطط الأزرار بيتا",
"enableImageDebugging": "تمكين التصحيح عند التصوير",
"resetWebUI": "إعادة تعيين واجهة الويب",
"resetWebUIDesc1": "إعادة تعيين واجهة الويب يعيد فقط ذاكرة التخزين المؤقت للمتصفح لصورك وإعداداتك المذكورة. لا يحذف أي صور من القرص.",
@@ -413,7 +399,6 @@
"toast": {
"tempFoldersEmptied": "تم تفريغ مجلد المؤقت",
"uploadFailed": "فشل التحميل",
- "uploadFailedMultipleImagesDesc": "تم الصق صور متعددة، قد يتم تحميل صورة واحدة فقط في الوقت الحالي",
"uploadFailedUnableToLoadDesc": "تعذر تحميل الملف",
"downloadImageStarted": "بدأ تنزيل الصورة",
"imageCopied": "تم نسخ الصورة",
diff --git a/invokeai/frontend/web/public/locales/de.json b/invokeai/frontend/web/public/locales/de.json
index cff09d46bb..9baa6eb6a2 100644
--- a/invokeai/frontend/web/public/locales/de.json
+++ b/invokeai/frontend/web/public/locales/de.json
@@ -1,12 +1,8 @@
{
"common": {
- "themeLabel": "Thema",
"languagePickerLabel": "Sprachauswahl",
"reportBugLabel": "Fehler melden",
"settingsLabel": "Einstellungen",
- "darkTheme": "Dunkel",
- "lightTheme": "Hell",
- "greenTheme": "Grün",
"img2img": "Bild zu Bild",
"nodes": "Knoten",
"langGerman": "Deutsch",
@@ -48,7 +44,6 @@
"langEnglish": "Englisch",
"langDutch": "Niederländisch",
"langFrench": "Französisch",
- "oceanTheme": "Ozean",
"langItalian": "Italienisch",
"langPortuguese": "Portogisisch",
"langRussian": "Russisch",
@@ -76,7 +71,6 @@
"maintainAspectRatio": "Seitenverhältnis beibehalten",
"autoSwitchNewImages": "Automatisch zu neuen Bildern wechseln",
"singleColumnLayout": "Einspaltiges Layout",
- "pinGallery": "Galerie anpinnen",
"allImagesLoaded": "Alle Bilder geladen",
"loadMore": "Mehr laden",
"noImagesInGallery": "Keine Bilder in der Galerie"
@@ -346,7 +340,6 @@
"cfgScale": "CFG-Skala",
"width": "Breite",
"height": "Höhe",
- "sampler": "Sampler",
"randomizeSeed": "Zufälliger Seed",
"shuffle": "Mischen",
"noiseThreshold": "Rausch-Schwellenwert",
@@ -367,10 +360,6 @@
"hiresOptim": "High-Res-Optimierung",
"imageFit": "Ausgangsbild an Ausgabegröße anpassen",
"codeformerFidelity": "Glaubwürdigkeit",
- "seamSize": "Nahtgröße",
- "seamBlur": "Nahtunschärfe",
- "seamStrength": "Stärke der Naht",
- "seamSteps": "Nahtstufen",
"scaleBeforeProcessing": "Skalieren vor der Verarbeitung",
"scaledWidth": "Skaliert W",
"scaledHeight": "Skaliert H",
@@ -381,8 +370,6 @@
"infillScalingHeader": "Infill und Skalierung",
"img2imgStrength": "Bild-zu-Bild-Stärke",
"toggleLoopback": "Toggle Loopback",
- "invoke": "Invoke",
- "promptPlaceholder": "Prompt hier eingeben. [negative Token], (mehr Gewicht)++, (geringeres Gewicht)--, Tausch und Überblendung sind verfügbar (siehe Dokumente)",
"sendTo": "Senden an",
"sendToImg2Img": "Senden an Bild zu Bild",
"sendToUnifiedCanvas": "Senden an Unified Canvas",
@@ -394,7 +381,6 @@
"useSeed": "Seed verwenden",
"useAll": "Alle verwenden",
"useInitImg": "Ausgangsbild verwenden",
- "deleteImage": "Bild löschen",
"initialImage": "Ursprüngliches Bild",
"showOptionsPanel": "Optionsleiste zeigen",
"cancel": {
@@ -406,7 +392,6 @@
"saveSteps": "Speichern der Bilder alle n Schritte",
"confirmOnDelete": "Bestätigen beim Löschen",
"displayHelpIcons": "Hilfesymbole anzeigen",
- "useCanvasBeta": "Canvas Beta Layout verwenden",
"enableImageDebugging": "Bild-Debugging aktivieren",
"resetWebUI": "Web-Oberfläche zurücksetzen",
"resetWebUIDesc1": "Das Zurücksetzen der Web-Oberfläche setzt nur den lokalen Cache des Browsers mit Ihren Bildern und gespeicherten Einstellungen zurück. Es werden keine Bilder von der Festplatte gelöscht.",
@@ -416,7 +401,6 @@
"toast": {
"tempFoldersEmptied": "Temp-Ordner geleert",
"uploadFailed": "Hochladen fehlgeschlagen",
- "uploadFailedMultipleImagesDesc": "Mehrere Bilder eingefügt, es kann nur ein Bild auf einmal hochgeladen werden",
"uploadFailedUnableToLoadDesc": "Datei kann nicht geladen werden",
"downloadImageStarted": "Bild wird heruntergeladen",
"imageCopied": "Bild kopiert",
@@ -532,7 +516,6 @@
"modifyConfig": "Optionen einstellen",
"toggleAutoscroll": "Auroscroll ein/ausschalten",
"toggleLogViewer": "Log Betrachter ein/ausschalten",
- "showGallery": "Zeige Galerie",
"showOptionsPanel": "Zeige Optionen",
"reset": "Zurücksetzen",
"nextImage": "Nächstes Bild",
diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json
index 0ccb332978..818f9f4fa9 100644
--- a/invokeai/frontend/web/public/locales/en.json
+++ b/invokeai/frontend/web/public/locales/en.json
@@ -38,16 +38,19 @@
"searchBoard": "Search Boards...",
"selectBoard": "Select a Board",
"topMessage": "This board contains images used in the following features:",
- "uncategorized": "Uncategorized"
+ "uncategorized": "Uncategorized",
+ "downloadBoard": "Download Board"
},
"common": {
"accept": "Accept",
"advanced": "Advanced",
"areYouSure": "Are you sure?",
+ "auto": "Auto",
"back": "Back",
"batch": "Batch Manager",
"cancel": "Cancel",
"close": "Close",
+ "on": "On",
"communityLabel": "Community",
"controlNet": "ControlNet",
"controlAdapter": "Control Adapter",
@@ -132,10 +135,11 @@
"upload": "Upload"
},
"controlnet": {
- "controlAdapter": "Control Adapter",
- "controlnet": "$t(controlnet.controlAdapter) #{{number}} ($t(common.controlNet))",
- "ip_adapter": "$t(controlnet.controlAdapter) #{{number}} ($t(common.ipAdapter))",
- "t2i_adapter": "$t(controlnet.controlAdapter) #{{number}} ($t(common.t2iAdapter))",
+ "controlAdapter_one": "Control Adapter",
+ "controlAdapter_other": "Control Adapters",
+ "controlnet": "$t(controlnet.controlAdapter_one) #{{number}} ($t(common.controlNet))",
+ "ip_adapter": "$t(controlnet.controlAdapter_one) #{{number}} ($t(common.ipAdapter))",
+ "t2i_adapter": "$t(controlnet.controlAdapter_one) #{{number}} ($t(common.t2iAdapter))",
"addControlNet": "Add $t(common.controlNet)",
"addIPAdapter": "Add $t(common.ipAdapter)",
"addT2IAdapter": "Add $t(common.t2iAdapter)",
@@ -274,7 +278,8 @@
"batchValues": "Batch Values",
"notReady": "Unable to Queue",
"batchQueued": "Batch Queued",
- "batchQueuedDesc": "Added {{item_count}} sessions to {{direction}} of queue",
+ "batchQueuedDesc_one": "Added {{count}} sessions to {{direction}} of queue",
+ "batchQueuedDesc_other": "Added {{count}} sessions to {{direction}} of queue",
"front": "front",
"back": "back",
"batchFailedToQueue": "Failed to Queue Batch",
@@ -323,7 +328,10 @@
"showUploads": "Show Uploads",
"singleColumnLayout": "Single Column Layout",
"unableToLoad": "Unable to load Gallery",
- "uploads": "Uploads"
+ "uploads": "Uploads",
+ "downloadSelection": "Download Selection",
+ "preparingDownload": "Preparing Download",
+ "preparingDownloadFailed": "Problem Preparing Download"
},
"hotkeys": {
"acceptStagingImage": {
@@ -551,8 +559,10 @@
"negativePrompt": "Negative Prompt",
"noImageDetails": "No image details found",
"noMetaData": "No metadata found",
+ "noRecallParameters": "No parameters to recall found",
"perlin": "Perlin Noise",
"positivePrompt": "Positive Prompt",
+ "recallParameters": "Recall Parameters",
"scheduler": "Scheduler",
"seamless": "Seamless",
"seed": "Seed",
@@ -697,6 +707,7 @@
"vae": "VAE",
"vaeLocation": "VAE Location",
"vaeLocationValidationMsg": "Path to where your VAE is located.",
+ "vaePrecision": "VAE Precision",
"vaeRepoID": "VAE Repo ID",
"vaeRepoIDValidationMsg": "Online repository of your VAE",
"variant": "Variant",
@@ -917,6 +928,7 @@
},
"parameters": {
"aspectRatio": "Aspect Ratio",
+ "aspectRatioFree": "Free",
"boundingBoxHeader": "Bounding Box",
"boundingBoxHeight": "Bounding Box Height",
"boundingBoxWidth": "Bounding Box Width",
@@ -964,10 +976,10 @@
"missingFieldTemplate": "Missing field template",
"missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} missing input",
"missingNodeTemplate": "Missing node template",
- "noControlImageForControlAdapter": "Control Adapter {{number}} has no control image",
+ "noControlImageForControlAdapter": "Control Adapter #{{number}} has no control image",
"noInitialImageSelected": "No initial image selected",
- "noModelForControlAdapter": "Control Adapter {{number}} has no model selected.",
- "incompatibleBaseModelForControlAdapter": "Control Adapter {{number}} model is invalid with main model.",
+ "noModelForControlAdapter": "Control Adapter #{{number}} has no model selected.",
+ "incompatibleBaseModelForControlAdapter": "Control Adapter #{{number}} model is invalid with main model.",
"noModelSelected": "No model selected",
"noPrompts": "No prompts generated",
"noNodesInGraph": "No nodes in graph",
@@ -1102,12 +1114,23 @@
"showAdvancedOptions": "Show Advanced Options",
"showProgressInViewer": "Show Progress Images in Viewer",
"ui": "User Interface",
- "useSlidersForAll": "Use Sliders For All Options"
+ "useSlidersForAll": "Use Sliders For All Options",
+ "clearIntermediatesDisabled": "Queue must be empty to clear intermediates",
+ "clearIntermediatesDesc1": "Clearing intermediates will reset your Canvas and ControlNet state.",
+ "clearIntermediatesDesc2": "Intermediate images are byproducts of generation, different from the result images in the gallery. Clearing intermediates will free disk space.",
+ "clearIntermediatesDesc3": "Your gallery images will not be deleted.",
+ "clearIntermediates": "Clear Intermediates",
+ "clearIntermediatesWithCount_one": "Clear {{count}} Intermediate",
+ "clearIntermediatesWithCount_other": "Clear {{count}} Intermediates",
+ "clearIntermediatesWithCount_zero": "No Intermediates to Clear",
+ "intermediatesCleared_one": "Cleared {{count}} Intermediate",
+ "intermediatesCleared_other": "Cleared {{count}} Intermediates",
+ "intermediatesClearedFailed": "Problem Clearing Intermediates"
},
"toast": {
"addedToBoard": "Added to board",
- "baseModelChangedCleared_one": "Base model changed, cleared or disabled {{number}} incompatible submodel",
- "baseModelChangedCleared_many": "$t(toast.baseModelChangedCleared_one)s",
+ "baseModelChangedCleared_one": "Base model changed, cleared or disabled {{count}} incompatible submodel",
+ "baseModelChangedCleared_other": "Base model changed, cleared or disabled {{count}} incompatible submodels",
"canceled": "Processing Canceled",
"canvasCopiedClipboard": "Canvas Copied to Clipboard",
"canvasDownloaded": "Canvas Downloaded",
diff --git a/invokeai/frontend/web/public/locales/es.json b/invokeai/frontend/web/public/locales/es.json
index d17cefaad2..8ff4c53165 100644
--- a/invokeai/frontend/web/public/locales/es.json
+++ b/invokeai/frontend/web/public/locales/es.json
@@ -1,16 +1,12 @@
{
"common": {
"hotkeysLabel": "Atajos de teclado",
- "themeLabel": "Tema",
"languagePickerLabel": "Selector de idioma",
"reportBugLabel": "Reportar errores",
"settingsLabel": "Ajustes",
- "darkTheme": "Oscuro",
- "lightTheme": "Claro",
- "greenTheme": "Verde",
"img2img": "Imagen a Imagen",
"unifiedCanvas": "Lienzo Unificado",
- "nodes": "Nodos",
+ "nodes": "Editor del flujo de trabajo",
"langSpanish": "Español",
"nodesDesc": "Un sistema de generación de imágenes basado en nodos, actualmente se encuentra en desarrollo. Mantente pendiente a nuestras actualizaciones acerca de esta fabulosa funcionalidad.",
"postProcessing": "Post-procesamiento",
@@ -19,7 +15,7 @@
"postProcessDesc3": "La Interfaz de Línea de Comandos de Invoke AI ofrece muchas otras características, incluyendo -Embiggen-.",
"training": "Entrenamiento",
"trainingDesc1": "Un flujo de trabajo dedicado para el entrenamiento de sus propios -embeddings- y puntos de control utilizando Inversión Textual y Dreambooth desde la interfaz web.",
- "trainingDesc2": "InvokeAI ya soporta el entrenamiento de -embeddings- personalizados utilizando la Inversión Textual mediante el script principal.",
+ "trainingDesc2": "InvokeAI ya admite el entrenamiento de incrustaciones personalizadas mediante la inversión textual mediante el script principal.",
"upload": "Subir imagen",
"close": "Cerrar",
"load": "Cargar",
@@ -63,18 +59,27 @@
"statusConvertingModel": "Convertir el modelo",
"statusModelConverted": "Modelo adaptado",
"statusMergingModels": "Fusionar modelos",
- "oceanTheme": "Océano",
"langPortuguese": "Portugués",
"langKorean": "Coreano",
"langHebrew": "Hebreo",
- "pinOptionsPanel": "Pin del panel de opciones",
"loading": "Cargando",
"loadingInvokeAI": "Cargando invocar a la IA",
"postprocessing": "Tratamiento posterior",
"txt2img": "De texto a imagen",
"accept": "Aceptar",
"cancel": "Cancelar",
- "linear": "Lineal"
+ "linear": "Lineal",
+ "random": "Aleatorio",
+ "generate": "Generar",
+ "openInNewTab": "Abrir en una nueva pestaña",
+ "dontAskMeAgain": "No me preguntes de nuevo",
+ "areYouSure": "¿Estas seguro?",
+ "imagePrompt": "Indicación de imagen",
+ "batch": "Administrador de lotes",
+ "darkMode": "Modo oscuro",
+ "lightMode": "Modo claro",
+ "modelManager": "Administrador de modelos",
+ "communityLabel": "Comunidad"
},
"gallery": {
"generations": "Generaciones",
@@ -87,10 +92,15 @@
"maintainAspectRatio": "Mantener relación de aspecto",
"autoSwitchNewImages": "Auto seleccionar Imágenes nuevas",
"singleColumnLayout": "Diseño de una columna",
- "pinGallery": "Fijar galería",
"allImagesLoaded": "Todas las imágenes cargadas",
"loadMore": "Cargar más",
- "noImagesInGallery": "Sin imágenes en la galería"
+ "noImagesInGallery": "No hay imágenes para mostrar",
+ "deleteImage": "Eliminar Imagen",
+ "deleteImageBin": "Las imágenes eliminadas se enviarán a la papelera de tu sistema operativo.",
+ "deleteImagePermanent": "Las imágenes eliminadas no se pueden restaurar.",
+ "images": "Imágenes",
+ "assets": "Activos",
+ "autoAssignBoardOnClick": "Asignación automática de tableros al hacer clic"
},
"hotkeys": {
"keyboardShortcuts": "Atajos de teclado",
@@ -297,7 +307,12 @@
"acceptStagingImage": {
"title": "Aceptar imagen",
"desc": "Aceptar la imagen actual en el área de preparación"
- }
+ },
+ "addNodes": {
+ "title": "Añadir Nodos",
+ "desc": "Abre el menú para añadir nodos"
+ },
+ "nodesHotkeys": "Teclas de acceso rápido a los nodos"
},
"modelManager": {
"modelManager": "Gestor de Modelos",
@@ -349,8 +364,8 @@
"delete": "Eliminar",
"deleteModel": "Eliminar Modelo",
"deleteConfig": "Eliminar Configuración",
- "deleteMsg1": "¿Estás seguro de querer eliminar esta entrada de modelo de InvokeAI?",
- "deleteMsg2": "El checkpoint del modelo no se eliminará de tu disco. Puedes volver a añadirlo si lo deseas.",
+ "deleteMsg1": "¿Estás seguro de que deseas eliminar este modelo de InvokeAI?",
+ "deleteMsg2": "Esto eliminará el modelo del disco si está en la carpeta raíz de InvokeAI. Si está utilizando una ubicación personalizada, el modelo NO se eliminará del disco.",
"safetensorModels": "SafeTensors",
"addDiffuserModel": "Añadir difusores",
"inpainting": "v1 Repintado",
@@ -369,8 +384,8 @@
"convertToDiffusers": "Convertir en difusores",
"convertToDiffusersHelpText1": "Este modelo se convertirá al formato 🧨 Difusores.",
"convertToDiffusersHelpText2": "Este proceso sustituirá su entrada del Gestor de Modelos por la versión de Difusores del mismo modelo.",
- "convertToDiffusersHelpText3": "Su archivo de puntos de control en el disco NO será borrado ni modificado de ninguna manera. Puede volver a añadir su punto de control al Gestor de Modelos si lo desea.",
- "convertToDiffusersHelpText5": "Asegúrese de que dispone de suficiente espacio en disco. Los modelos suelen variar entre 4 GB y 7 GB de tamaño.",
+ "convertToDiffusersHelpText3": "Tu archivo del punto de control en el disco se eliminará si está en la carpeta raíz de InvokeAI. Si está en una ubicación personalizada, NO se eliminará.",
+ "convertToDiffusersHelpText5": "Por favor, asegúrate de tener suficiente espacio en el disco. Los modelos generalmente varían entre 2 GB y 7 GB de tamaño.",
"convertToDiffusersHelpText6": "¿Desea transformar este modelo?",
"convertToDiffusersSaveLocation": "Guardar ubicación",
"v1": "v1",
@@ -409,7 +424,27 @@
"pickModelType": "Elige el tipo de modelo",
"v2_768": "v2 (768px)",
"addDifference": "Añadir una diferencia",
- "scanForModels": "Buscar modelos"
+ "scanForModels": "Buscar modelos",
+ "vae": "VAE",
+ "variant": "Variante",
+ "baseModel": "Modelo básico",
+ "modelConversionFailed": "Conversión al modelo fallida",
+ "selectModel": "Seleccionar un modelo",
+ "modelUpdateFailed": "Error al actualizar el modelo",
+ "modelsMergeFailed": "Fusión del modelo fallida",
+ "convertingModelBegin": "Convirtiendo el modelo. Por favor, espere.",
+ "modelDeleted": "Modelo eliminado",
+ "modelDeleteFailed": "Error al borrar el modelo",
+ "noCustomLocationProvided": "‐No se proporcionó una ubicación personalizada",
+ "importModels": "Importar los modelos",
+ "settings": "Ajustes",
+ "syncModels": "Sincronizar las plantillas",
+ "syncModelsDesc": "Si tus plantillas no están sincronizados con el backend, puedes actualizarlas usando esta opción. Esto suele ser útil en los casos en los que actualizas manualmente tu archivo models.yaml o añades plantillas a la carpeta raíz de InvokeAI después de que la aplicación haya arrancado.",
+ "modelsSynced": "Plantillas sincronizadas",
+ "modelSyncFailed": "La sincronización de la plantilla falló",
+ "loraModels": "LoRA",
+ "onnxModels": "Onnx",
+ "oliveModels": "Olives"
},
"parameters": {
"images": "Imágenes",
@@ -417,10 +452,9 @@
"cfgScale": "Escala CFG",
"width": "Ancho",
"height": "Alto",
- "sampler": "Muestreo",
"seed": "Semilla",
"randomizeSeed": "Semilla aleatoria",
- "shuffle": "Aleatorizar",
+ "shuffle": "Semilla aleatoria",
"noiseThreshold": "Umbral de Ruido",
"perlinNoise": "Ruido Perlin",
"variations": "Variaciones",
@@ -439,10 +473,6 @@
"hiresOptim": "Optimización de Alta Resolución",
"imageFit": "Ajuste tamaño de imagen inicial al tamaño objetivo",
"codeformerFidelity": "Fidelidad",
- "seamSize": "Tamaño del parche",
- "seamBlur": "Desenfoque del parche",
- "seamStrength": "Fuerza del parche",
- "seamSteps": "Pasos del parche",
"scaleBeforeProcessing": "Redimensionar antes de procesar",
"scaledWidth": "Ancho escalado",
"scaledHeight": "Alto escalado",
@@ -453,8 +483,6 @@
"infillScalingHeader": "Remplazo y escalado",
"img2imgStrength": "Peso de Imagen a Imagen",
"toggleLoopback": "Alternar Retroalimentación",
- "invoke": "Invocar",
- "promptPlaceholder": "Ingrese la entrada aquí. [símbolos negativos], (subir peso)++, (bajar peso)--, también disponible alternado y mezclado (ver documentación)",
"sendTo": "Enviar a",
"sendToImg2Img": "Enviar a Imagen a Imagen",
"sendToUnifiedCanvas": "Enviar a Lienzo Unificado",
@@ -467,7 +495,6 @@
"useAll": "Usar Todo",
"useInitImg": "Usar Imagen Inicial",
"info": "Información",
- "deleteImage": "Eliminar Imagen",
"initialImage": "Imagen Inicial",
"showOptionsPanel": "Mostrar panel de opciones",
"symmetry": "Simetría",
@@ -481,37 +508,72 @@
},
"copyImage": "Copiar la imagen",
"general": "General",
- "negativePrompts": "Preguntas negativas",
"imageToImage": "Imagen a imagen",
"denoisingStrength": "Intensidad de la eliminación del ruido",
"hiresStrength": "Alta resistencia",
"showPreview": "Mostrar la vista previa",
- "hidePreview": "Ocultar la vista previa"
+ "hidePreview": "Ocultar la vista previa",
+ "noiseSettings": "Ruido",
+ "seamlessXAxis": "Eje x",
+ "seamlessYAxis": "Eje y",
+ "scheduler": "Programador",
+ "boundingBoxWidth": "Anchura del recuadro",
+ "boundingBoxHeight": "Altura del recuadro",
+ "positivePromptPlaceholder": "Prompt Positivo",
+ "negativePromptPlaceholder": "Prompt Negativo",
+ "controlNetControlMode": "Modo de control",
+ "clipSkip": "Omitir el CLIP",
+ "aspectRatio": "Relación",
+ "maskAdjustmentsHeader": "Ajustes de la máscara",
+ "maskBlur": "Difuminar",
+ "maskBlurMethod": "Método del desenfoque",
+ "seamHighThreshold": "Alto",
+ "seamLowThreshold": "Bajo",
+ "coherencePassHeader": "Parámetros de la coherencia",
+ "compositingSettingsHeader": "Ajustes de la composición",
+ "coherenceSteps": "Pasos",
+ "coherenceStrength": "Fuerza",
+ "patchmatchDownScaleSize": "Reducir a escala",
+ "coherenceMode": "Modo"
},
"settings": {
"models": "Modelos",
- "displayInProgress": "Mostrar imágenes en progreso",
+ "displayInProgress": "Mostrar las imágenes del progreso",
"saveSteps": "Guardar imágenes cada n pasos",
"confirmOnDelete": "Confirmar antes de eliminar",
"displayHelpIcons": "Mostrar iconos de ayuda",
- "useCanvasBeta": "Usar versión beta del Lienzo",
"enableImageDebugging": "Habilitar depuración de imágenes",
"resetWebUI": "Restablecer interfaz web",
"resetWebUIDesc1": "Al restablecer la interfaz web, solo se restablece la caché local del navegador de sus imágenes y la configuración guardada. No se elimina ninguna imagen de su disco duro.",
"resetWebUIDesc2": "Si las imágenes no se muestran en la galería o algo más no funciona, intente restablecer antes de reportar un incidente en GitHub.",
- "resetComplete": "La interfaz web se ha restablecido. Actualice la página para recargarla.",
- "useSlidersForAll": "Utilice controles deslizantes para todas las opciones"
+ "resetComplete": "Se ha restablecido la interfaz web.",
+ "useSlidersForAll": "Utilice controles deslizantes para todas las opciones",
+ "general": "General",
+ "consoleLogLevel": "Nivel del registro",
+ "shouldLogToConsole": "Registro de la consola",
+ "developer": "Desarrollador",
+ "antialiasProgressImages": "Imágenes del progreso de Antialias",
+ "showProgressInViewer": "Mostrar las imágenes del progreso en el visor",
+ "ui": "Interfaz del usuario",
+ "generation": "Generación",
+ "favoriteSchedulers": "Programadores favoritos",
+ "favoriteSchedulersPlaceholder": "No hay programadores favoritos",
+ "showAdvancedOptions": "Mostrar las opciones avanzadas",
+ "alternateCanvasLayout": "Diseño alternativo del lienzo",
+ "beta": "Beta",
+ "enableNodesEditor": "Activar el editor de nodos",
+ "experimental": "Experimental",
+ "autoChangeDimensions": "Actualiza W/H a los valores predeterminados del modelo cuando se modifica"
},
"toast": {
"tempFoldersEmptied": "Directorio temporal vaciado",
"uploadFailed": "Error al subir archivo",
- "uploadFailedMultipleImagesDesc": "Únicamente se puede subir una imágen a la vez",
"uploadFailedUnableToLoadDesc": "No se pudo cargar la imágen",
"downloadImageStarted": "Descargando imágen",
"imageCopied": "Imágen copiada",
"imageLinkCopied": "Enlace de imágen copiado",
"imageNotLoaded": "No se cargó la imágen",
- "imageNotLoadedDesc": "No se encontró imagen para enviar al módulo Imagen a Imagen",
+ "imageNotLoadedDesc": "No se pudo encontrar la imagen",
"imageSavedToGallery": "Imágen guardada en la galería",
"canvasMerged": "Lienzo consolidado",
"sentToImageToImage": "Enviar hacia Imagen a Imagen",
@@ -536,7 +598,21 @@
"serverError": "Error en el servidor",
"disconnected": "Desconectado del servidor",
"canceled": "Procesando la cancelación",
- "connected": "Conectado al servidor"
+ "connected": "Conectado al servidor",
+ "problemCopyingImageLink": "No se puede copiar el enlace de la imagen",
+ "uploadFailedInvalidUploadDesc": "Debe ser una sola imagen PNG o JPEG",
+ "parameterSet": "Conjunto de parámetros",
+ "parameterNotSet": "Parámetro no configurado",
+ "nodesSaved": "Nodos guardados",
+ "nodesLoadedFailed": "Error al cargar los nodos",
+ "nodesLoaded": "Nodos cargados",
+ "nodesCleared": "Nodos borrados",
+ "problemCopyingImage": "No se puede copiar la imagen",
+ "nodesNotValidJSON": "JSON no válido",
+ "nodesCorruptedGraph": "No se puede cargar. El gráfico parece estar dañado.",
+ "nodesUnrecognizedTypes": "No se puede cargar. El gráfico tiene tipos no reconocidos",
+ "nodesNotValidGraph": "Gráfico del nodo InvokeAI no válido",
+ "nodesBrokenConnections": "No se puede cargar. Algunas conexiones están rotas."
},
"tooltip": {
"feature": {
@@ -610,7 +686,8 @@
"betaClear": "Limpiar",
"betaDarkenOutside": "Oscurecer fuera",
"betaLimitToBox": "Limitar a caja",
- "betaPreserveMasked": "Preservar área enmascarada"
+ "betaPreserveMasked": "Preservar área enmascarada",
+ "antialiasing": "Suavizado"
},
"accessibility": {
"invokeProgressBar": "Activar la barra de progreso",
@@ -631,8 +708,30 @@
"modifyConfig": "Modificar la configuración",
"toggleAutoscroll": "Activar el autodesplazamiento",
"toggleLogViewer": "Alternar el visor de registros",
- "showGallery": "Mostrar galería",
- "showOptionsPanel": "Mostrar el panel de opciones",
+ "showOptionsPanel": "Mostrar el panel lateral",
"menu": "Menú"
+ },
+ "ui": {
+ "hideProgressImages": "Ocultar el progreso de la imagen",
+ "showProgressImages": "Mostrar el progreso de la imagen",
+ "swapSizes": "Cambiar los tamaños",
+ "lockRatio": "Proporción del bloqueo"
+ },
+ "nodes": {
+ "showGraphNodes": "Mostrar la superposición de los gráficos",
+ "zoomInNodes": "Acercar",
+ "hideMinimapnodes": "Ocultar el minimapa",
+ "fitViewportNodes": "Ajustar la vista",
+ "zoomOutNodes": "Alejar",
+ "hideGraphNodes": "Ocultar la superposición de los gráficos",
+ "hideLegendNodes": "Ocultar la leyenda del tipo de campo",
+ "showLegendNodes": "Mostrar la leyenda del tipo de campo",
+ "showMinimapnodes": "Mostrar el minimapa",
+ "reloadNodeTemplates": "Recargar las plantillas de nodos",
+ "loadWorkflow": "Cargar el flujo de trabajo",
+ "resetWorkflow": "Reiniciar e flujo de trabajo",
+ "resetWorkflowDesc": "¿Está seguro de que deseas restablecer este flujo de trabajo?",
+ "resetWorkflowDesc2": "Al reiniciar el flujo de trabajo se borrarán todos los nodos, aristas y detalles del flujo de trabajo.",
+ "downloadWorkflow": "Descargar el flujo de trabajo en un archivo JSON"
}
}
diff --git a/invokeai/frontend/web/public/locales/fi.json b/invokeai/frontend/web/public/locales/fi.json
index a6edd6d8b8..cf7fc6701b 100644
--- a/invokeai/frontend/web/public/locales/fi.json
+++ b/invokeai/frontend/web/public/locales/fi.json
@@ -15,7 +15,6 @@
"rotateCounterClockwise": "Kierrä vastapäivään",
"rotateClockwise": "Kierrä myötäpäivään",
"flipVertically": "Käännä pystysuoraan",
- "showGallery": "Näytä galleria",
"modifyConfig": "Muokkaa konfiguraatiota",
"toggleAutoscroll": "Kytke automaattinen vieritys",
"toggleLogViewer": "Kytke lokin katselutila",
@@ -34,18 +33,13 @@
"hotkeysLabel": "Pikanäppäimet",
"reportBugLabel": "Raportoi Bugista",
"langPolish": "Puola",
- "themeLabel": "Teema",
"langDutch": "Hollanti",
"settingsLabel": "Asetukset",
"githubLabel": "Github",
- "darkTheme": "Tumma",
- "lightTheme": "Vaalea",
- "greenTheme": "Vihreä",
"langGerman": "Saksa",
"langPortuguese": "Portugali",
"discordLabel": "Discord",
"langEnglish": "Englanti",
- "oceanTheme": "Meren sininen",
"langRussian": "Venäjä",
"langUkranian": "Ukraina",
"langSpanish": "Espanja",
@@ -79,7 +73,6 @@
"statusGeneratingInpainting": "Generoidaan sisällemaalausta",
"statusGeneratingOutpainting": "Generoidaan ulosmaalausta",
"statusRestoringFaces": "Korjataan kasvoja",
- "pinOptionsPanel": "Kiinnitä asetukset -paneeli",
"loadingInvokeAI": "Ladataan Invoke AI:ta",
"loading": "Ladataan",
"statusGenerating": "Generoidaan",
@@ -95,7 +88,6 @@
"galleryImageResetSize": "Resetoi koko",
"maintainAspectRatio": "Säilytä kuvasuhde",
"galleryImageSize": "Kuvan koko",
- "pinGallery": "Kiinnitä galleria",
"showGenerations": "Näytä generaatiot",
"singleColumnLayout": "Yhden sarakkeen asettelu",
"generations": "Generoinnit",
diff --git a/invokeai/frontend/web/public/locales/fr.json b/invokeai/frontend/web/public/locales/fr.json
index cf215d7d06..b7ab932fcc 100644
--- a/invokeai/frontend/web/public/locales/fr.json
+++ b/invokeai/frontend/web/public/locales/fr.json
@@ -1,13 +1,9 @@
{
"common": {
"hotkeysLabel": "Raccourcis clavier",
- "themeLabel": "Thème",
"languagePickerLabel": "Sélecteur de langue",
"reportBugLabel": "Signaler un bug",
"settingsLabel": "Paramètres",
- "darkTheme": "Sombre",
- "lightTheme": "Clair",
- "greenTheme": "Vert",
"img2img": "Image en image",
"unifiedCanvas": "Canvas unifié",
"nodes": "Nœuds",
@@ -55,7 +51,6 @@
"statusConvertingModel": "Conversion du modèle",
"statusModelConverted": "Modèle converti",
"loading": "Chargement",
- "pinOptionsPanel": "Épingler la page d'options",
"statusMergedModels": "Modèles mélangés",
"txt2img": "Texte vers image",
"postprocessing": "Post-Traitement"
@@ -71,7 +66,6 @@
"maintainAspectRatio": "Maintenir le rapport d'aspect",
"autoSwitchNewImages": "Basculer automatiquement vers de nouvelles images",
"singleColumnLayout": "Mise en page en colonne unique",
- "pinGallery": "Épingler la galerie",
"allImagesLoaded": "Toutes les images chargées",
"loadMore": "Charger plus",
"noImagesInGallery": "Aucune image dans la galerie"
@@ -356,7 +350,6 @@
"cfgScale": "CFG Echelle",
"width": "Largeur",
"height": "Hauteur",
- "sampler": "Echantillonneur",
"seed": "Graine",
"randomizeSeed": "Graine Aléatoire",
"shuffle": "Mélanger",
@@ -378,10 +371,6 @@
"hiresOptim": "Optimisation Haute Résolution",
"imageFit": "Ajuster Image Initiale à la Taille de Sortie",
"codeformerFidelity": "Fidélité",
- "seamSize": "Taille des Joints",
- "seamBlur": "Flou des Joints",
- "seamStrength": "Force des Joints",
- "seamSteps": "Etapes des Joints",
"scaleBeforeProcessing": "Echelle Avant Traitement",
"scaledWidth": "Larg. Échelle",
"scaledHeight": "Haut. Échelle",
@@ -392,8 +381,6 @@
"infillScalingHeader": "Remplissage et Mise à l'Échelle",
"img2imgStrength": "Force de l'Image à l'Image",
"toggleLoopback": "Activer/Désactiver la Boucle",
- "invoke": "Invoker",
- "promptPlaceholder": "Tapez le prompt ici. [tokens négatifs], (poids positif)++, (poids négatif)--, swap et blend sont disponibles (voir les docs)",
"sendTo": "Envoyer à",
"sendToImg2Img": "Envoyer à Image à Image",
"sendToUnifiedCanvas": "Envoyer au Canvas Unifié",
@@ -407,7 +394,6 @@
"useAll": "Tout utiliser",
"useInitImg": "Utiliser l'image initiale",
"info": "Info",
- "deleteImage": "Supprimer l'image",
"initialImage": "Image initiale",
"showOptionsPanel": "Afficher le panneau d'options"
},
@@ -417,7 +403,6 @@
"saveSteps": "Enregistrer les images tous les n étapes",
"confirmOnDelete": "Confirmer la suppression",
"displayHelpIcons": "Afficher les icônes d'aide",
- "useCanvasBeta": "Utiliser la mise en page bêta de Canvas",
"enableImageDebugging": "Activer le débogage d'image",
"resetWebUI": "Réinitialiser l'interface Web",
"resetWebUIDesc1": "Réinitialiser l'interface Web ne réinitialise que le cache local du navigateur de vos images et de vos paramètres enregistrés. Cela n'efface pas les images du disque.",
@@ -427,7 +412,6 @@
"toast": {
"tempFoldersEmptied": "Dossiers temporaires vidés",
"uploadFailed": "Téléchargement échoué",
- "uploadFailedMultipleImagesDesc": "Plusieurs images collées, peut uniquement télécharger une image à la fois",
"uploadFailedUnableToLoadDesc": "Impossible de charger le fichier",
"downloadImageStarted": "Téléchargement de l'image démarré",
"imageCopied": "Image copiée",
@@ -538,6 +522,10 @@
"useThisParameter": "Utiliser ce paramètre",
"zoomIn": "Zoom avant",
"zoomOut": "Zoom arrière",
- "showOptionsPanel": "Montrer la page d'options"
+ "showOptionsPanel": "Montrer la page d'options",
+ "modelSelect": "Choix du modèle",
+ "invokeProgressBar": "Barre de Progression Invoke",
+ "copyMetadataJson": "Copie des métadonnées JSON",
+ "menu": "Menu"
}
}
diff --git a/invokeai/frontend/web/public/locales/he.json b/invokeai/frontend/web/public/locales/he.json
index c9b4ff3b17..dfb5ea0360 100644
--- a/invokeai/frontend/web/public/locales/he.json
+++ b/invokeai/frontend/web/public/locales/he.json
@@ -107,13 +107,10 @@
},
"common": {
"nodesDesc": "מערכת מבוססת צמתים עבור יצירת תמונות עדיין תחת פיתוח. השארו קשובים לעדכונים עבור הפיצ׳ר המדהים הזה.",
- "themeLabel": "ערכת נושא",
"languagePickerLabel": "בחירת שפה",
"githubLabel": "גיטהאב",
"discordLabel": "דיסקורד",
"settingsLabel": "הגדרות",
- "darkTheme": "חשוך",
- "lightTheme": "מואר",
"langEnglish": "אנגלית",
"langDutch": "הולנדית",
"langArabic": "ערבית",
@@ -155,7 +152,6 @@
"statusMergedModels": "מודלים מוזגו",
"hotkeysLabel": "מקשים חמים",
"reportBugLabel": "דווח באג",
- "greenTheme": "ירוק",
"langItalian": "איטלקית",
"upload": "העלאה",
"langPolish": "פולנית",
@@ -384,7 +380,6 @@
"maintainAspectRatio": "שמור על יחס רוחב-גובה",
"autoSwitchNewImages": "החלף אוטומטית לתמונות חדשות",
"singleColumnLayout": "תצוגת עמודה אחת",
- "pinGallery": "הצמד גלריה",
"allImagesLoaded": "כל התמונות נטענו",
"loadMore": "טען עוד",
"noImagesInGallery": "אין תמונות בגלריה",
@@ -399,7 +394,6 @@
"cfgScale": "סולם CFG",
"width": "רוחב",
"height": "גובה",
- "sampler": "דוגם",
"seed": "זרע",
"imageToImage": "תמונה לתמונה",
"randomizeSeed": "זרע אקראי",
@@ -416,10 +410,6 @@
"hiresOptim": "אופטימיזצית רזולוציה גבוהה",
"hiresStrength": "חוזק רזולוציה גבוהה",
"codeformerFidelity": "דבקות",
- "seamSize": "גודל תפר",
- "seamBlur": "טשטוש תפר",
- "seamStrength": "חוזק תפר",
- "seamSteps": "שלבי תפר",
"scaleBeforeProcessing": "שנה קנה מידה לפני עיבוד",
"scaledWidth": "קנה מידה לאחר שינוי W",
"scaledHeight": "קנה מידה לאחר שינוי H",
@@ -432,14 +422,12 @@
"symmetry": "סימטריה",
"vSymmetryStep": "צעד סימטריה V",
"hSymmetryStep": "צעד סימטריה H",
- "invoke": "הפעלה",
"cancel": {
"schedule": "ביטול לאחר האיטרציה הנוכחית",
"isScheduled": "מבטל",
"immediate": "ביטול מיידי",
"setType": "הגדר סוג ביטול"
},
- "negativePrompts": "בקשות שליליות",
"sendTo": "שליחה אל",
"copyImage": "העתקת תמונה",
"downloadImage": "הורדת תמונה",
@@ -464,15 +452,12 @@
"seamlessTiling": "ריצוף חלק",
"img2imgStrength": "חוזק תמונה לתמונה",
"initialImage": "תמונה ראשונית",
- "copyImageToLink": "העתקת תמונה לקישור",
- "deleteImage": "מחיקת תמונה",
- "promptPlaceholder": "הקלד בקשה כאן. [אסימונים שליליים], (העלאת משקל)++ , (הורדת משקל)--, החלפה ומיזוג זמינים (ראה מסמכים)"
+ "copyImageToLink": "העתקת תמונה לקישור"
},
"settings": {
"models": "מודלים",
"displayInProgress": "הצגת תמונות בתהליך",
"confirmOnDelete": "אישור בעת המחיקה",
- "useCanvasBeta": "שימוש בגרסת ביתא של תצוגת הקנבס",
"useSlidersForAll": "שימוש במחוונים לכל האפשרויות",
"resetWebUI": "איפוס ממשק משתמש",
"resetWebUIDesc1": "איפוס ממשק המשתמש האינטרנטי מאפס רק את המטמון המקומי של הדפדפן של התמונות וההגדרות שנשמרו. זה לא מוחק תמונות מהדיסק.",
@@ -484,7 +469,6 @@
},
"toast": {
"uploadFailed": "העלאה נכשלה",
- "uploadFailedMultipleImagesDesc": "תמונות מרובות הודבקו, ניתן להעלות תמונה אחת בלבד בכל פעם",
"imageCopied": "התמונה הועתקה",
"imageLinkCopied": "קישור תמונה הועתק",
"imageNotLoadedDesc": "לא נמצאה תמונה לשליחה למודול תמונה לתמונה",
diff --git a/invokeai/frontend/web/public/locales/it.json b/invokeai/frontend/web/public/locales/it.json
index 4ac5b6831d..c69879cfcf 100644
--- a/invokeai/frontend/web/public/locales/it.json
+++ b/invokeai/frontend/web/public/locales/it.json
@@ -1,16 +1,12 @@
{
"common": {
"hotkeysLabel": "Tasti di scelta rapida",
- "themeLabel": "Tema",
- "languagePickerLabel": "Seleziona lingua",
+ "languagePickerLabel": "Lingua",
"reportBugLabel": "Segnala un errore",
"settingsLabel": "Impostazioni",
- "darkTheme": "Scuro",
- "lightTheme": "Chiaro",
- "greenTheme": "Verde",
"img2img": "Immagine a Immagine",
"unifiedCanvas": "Tela unificata",
- "nodes": "Nodi",
+ "nodes": "Editor del flusso di lavoro",
"langItalian": "Italiano",
"nodesDesc": "Attualmente è in fase di sviluppo un sistema basato su nodi per la generazione di immagini. Resta sintonizzato per gli aggiornamenti su questa fantastica funzionalità.",
"postProcessing": "Post-elaborazione",
@@ -19,7 +15,7 @@
"postProcessDesc3": "L'interfaccia da riga di comando di 'Invoke AI' offre varie altre funzionalità tra cui Embiggen.",
"training": "Addestramento",
"trainingDesc1": "Un flusso di lavoro dedicato per addestrare i tuoi Incorporamenti e Checkpoint utilizzando Inversione Testuale e Dreambooth dall'interfaccia web.",
- "trainingDesc2": "InvokeAI supporta già l'addestramento di incorporamenti personalizzati utilizzando l'inversione testuale utilizzando lo script principale.",
+ "trainingDesc2": "InvokeAI supporta già l'addestramento di incorporamenti personalizzati utilizzando l'inversione testuale tramite lo script principale.",
"upload": "Caricamento",
"close": "Chiudi",
"load": "Carica",
@@ -31,14 +27,14 @@
"statusProcessingCanceled": "Elaborazione annullata",
"statusProcessingComplete": "Elaborazione completata",
"statusGenerating": "Generazione in corso",
- "statusGeneratingTextToImage": "Generazione da Testo a Immagine",
+ "statusGeneratingTextToImage": "Generazione Testo a Immagine",
"statusGeneratingImageToImage": "Generazione da Immagine a Immagine",
"statusGeneratingInpainting": "Generazione Inpainting",
"statusGeneratingOutpainting": "Generazione Outpainting",
"statusGenerationComplete": "Generazione completata",
"statusIterationComplete": "Iterazione completata",
"statusSavingImage": "Salvataggio dell'immagine",
- "statusRestoringFaces": "Restaura i volti",
+ "statusRestoringFaces": "Restaura volti",
"statusRestoringFacesGFPGAN": "Restaura volti (GFPGAN)",
"statusRestoringFacesCodeFormer": "Restaura volti (CodeFormer)",
"statusUpscaling": "Ampliamento",
@@ -65,16 +61,35 @@
"statusConvertingModel": "Conversione Modello",
"langKorean": "Coreano",
"langPortuguese": "Portoghese",
- "pinOptionsPanel": "Blocca il pannello Opzioni",
"loading": "Caricamento in corso",
- "oceanTheme": "Oceano",
"langHebrew": "Ebraico",
"loadingInvokeAI": "Caricamento Invoke AI",
"postprocessing": "Post Elaborazione",
"txt2img": "Testo a Immagine",
"accept": "Accetta",
"cancel": "Annulla",
- "linear": "Lineare"
+ "linear": "Lineare",
+ "generate": "Genera",
+ "random": "Casuale",
+ "openInNewTab": "Apri in una nuova scheda",
+ "areYouSure": "Sei sicuro?",
+ "dontAskMeAgain": "Non chiedermelo più",
+ "imagePrompt": "Prompt Immagine",
+ "darkMode": "Modalità scura",
+ "lightMode": "Modalità chiara",
+ "batch": "Gestione Lotto",
+ "modelManager": "Gestore modello",
+ "communityLabel": "Comunità",
+ "nodeEditor": "Editor dei nodi",
+ "statusProcessing": "Elaborazione in corso",
+ "advanced": "Avanzate",
+ "imageFailedToLoad": "Impossibile caricare l'immagine",
+ "learnMore": "Per saperne di più",
+ "ipAdapter": "Adattatore IP",
+ "t2iAdapter": "Adattatore T2I",
+ "controlAdapter": "Adattatore di Controllo",
+ "controlNet": "ControlNet",
+ "auto": "Automatico"
},
"gallery": {
"generations": "Generazioni",
@@ -87,10 +102,25 @@
"maintainAspectRatio": "Mantenere le proporzioni",
"autoSwitchNewImages": "Passaggio automatico a nuove immagini",
"singleColumnLayout": "Layout a colonna singola",
- "pinGallery": "Blocca la galleria",
"allImagesLoaded": "Tutte le immagini caricate",
- "loadMore": "Carica di più",
- "noImagesInGallery": "Nessuna immagine nella galleria"
+ "loadMore": "Carica altro",
+ "noImagesInGallery": "Nessuna immagine da visualizzare",
+ "deleteImage": "Elimina l'immagine",
+ "deleteImagePermanent": "Le immagini eliminate non possono essere ripristinate.",
+ "deleteImageBin": "Le immagini eliminate verranno spostate nel Cestino del tuo sistema operativo.",
+ "images": "Immagini",
+ "assets": "Risorse",
+ "autoAssignBoardOnClick": "Assegna automaticamente la bacheca al clic",
+ "featuresWillReset": "Se elimini questa immagine, quelle funzionalità verranno immediatamente ripristinate.",
+ "loading": "Caricamento in corso",
+ "unableToLoad": "Impossibile caricare la Galleria",
+ "currentlyInUse": "Questa immagine è attualmente utilizzata nelle seguenti funzionalità:",
+ "copy": "Copia",
+ "download": "Scarica",
+ "setCurrentImage": "Imposta come immagine corrente",
+ "preparingDownload": "Preparazione del download",
+ "preparingDownloadFailed": "Problema durante la preparazione del download",
+ "downloadSelection": "Scarica gli elementi selezionati"
},
"hotkeys": {
"keyboardShortcuts": "Tasti rapidi",
@@ -163,7 +193,7 @@
"desc": "Mostra le informazioni sui metadati dell'immagine corrente"
},
"sendToImageToImage": {
- "title": "Invia a da Immagine a Immagine",
+ "title": "Invia a Immagine a Immagine",
"desc": "Invia l'immagine corrente a da Immagine a Immagine"
},
"deleteImage": {
@@ -297,6 +327,11 @@
"acceptStagingImage": {
"title": "Accetta l'immagine della sessione",
"desc": "Accetta l'immagine dell'area della sessione corrente"
+ },
+ "nodesHotkeys": "Tasti di scelta rapida dei Nodi",
+ "addNodes": {
+ "title": "Aggiungi Nodi",
+ "desc": "Apre il menu Aggiungi Nodi"
}
},
"modelManager": {
@@ -308,7 +343,7 @@
"safetensorModels": "SafeTensor",
"modelAdded": "Modello Aggiunto",
"modelUpdated": "Modello Aggiornato",
- "modelEntryDeleted": "Modello Rimosso",
+ "modelEntryDeleted": "Voce del modello eliminata",
"cannotUseSpaces": "Impossibile utilizzare gli spazi",
"addNew": "Aggiungi nuovo",
"addNewModel": "Aggiungi nuovo Modello",
@@ -323,7 +358,7 @@
"config": "Configurazione",
"configValidationMsg": "Percorso del file di configurazione del modello.",
"modelLocation": "Posizione del modello",
- "modelLocationValidationMsg": "Percorso dove si trova il modello.",
+ "modelLocationValidationMsg": "Fornisci il percorso di una cartella locale in cui è archiviato il tuo modello di diffusori",
"repo_id": "Repo ID",
"repoIDValidationMsg": "Repository online del modello",
"vaeLocation": "Posizione file VAE",
@@ -360,7 +395,7 @@
"deleteModel": "Elimina modello",
"deleteConfig": "Elimina configurazione",
"deleteMsg1": "Sei sicuro di voler eliminare questo modello da InvokeAI?",
- "deleteMsg2": "Questo non eliminerà il file Checkpoint del modello dal tuo disco. Puoi aggiungerlo nuovamente se lo desideri.",
+ "deleteMsg2": "Questo eliminerà il modello dal disco se si trova nella cartella principale di InvokeAI. Se utilizzi una cartella personalizzata, il modello NON verrà eliminato dal disco.",
"formMessageDiffusersModelLocation": "Ubicazione modelli diffusori",
"formMessageDiffusersModelLocationDesc": "Inseriscine almeno uno.",
"formMessageDiffusersVAELocation": "Ubicazione file VAE",
@@ -369,7 +404,7 @@
"convertToDiffusers": "Converti in Diffusori",
"convertToDiffusersHelpText2": "Questo processo sostituirà la voce in Gestione Modelli con la versione Diffusori dello stesso modello.",
"convertToDiffusersHelpText4": "Questo è un processo una tantum. Potrebbero essere necessari circa 30-60 secondi a seconda delle specifiche del tuo computer.",
- "convertToDiffusersHelpText5": "Assicurati di avere spazio su disco sufficiente. I modelli generalmente variano tra 4 GB e 7 GB di dimensioni.",
+ "convertToDiffusersHelpText5": "Assicurati di avere spazio su disco sufficiente. I modelli generalmente variano tra 2 GB e 7 GB di dimensioni.",
"convertToDiffusersHelpText6": "Vuoi convertire questo modello?",
"convertToDiffusersSaveLocation": "Ubicazione salvataggio",
"inpainting": "v1 Inpainting",
@@ -378,12 +413,12 @@
"modelConverted": "Modello convertito",
"sameFolder": "Stessa cartella",
"invokeRoot": "Cartella InvokeAI",
- "merge": "Fondere",
- "modelsMerged": "Modelli fusi",
- "mergeModels": "Fondi Modelli",
+ "merge": "Unisci",
+ "modelsMerged": "Modelli uniti",
+ "mergeModels": "Unisci Modelli",
"modelOne": "Modello 1",
"modelTwo": "Modello 2",
- "mergedModelName": "Nome del modello fuso",
+ "mergedModelName": "Nome del modello unito",
"alpha": "Alpha",
"interpolationType": "Tipo di interpolazione",
"mergedModelCustomSaveLocation": "Percorso personalizzato",
@@ -394,7 +429,7 @@
"mergedModelSaveLocation": "Ubicazione salvataggio",
"convertToDiffusersHelpText1": "Questo modello verrà convertito nel formato 🧨 Diffusore.",
"custom": "Personalizzata",
- "convertToDiffusersHelpText3": "Il tuo file checkpoint sul disco NON verrà comunque cancellato o modificato. Se lo desideri, puoi aggiungerlo di nuovo in Gestione Modelli.",
+ "convertToDiffusersHelpText3": "Il file checkpoint su disco SARÀ eliminato se si trova nella cartella principale di InvokeAI. Se si trova in una posizione personalizzata, NON verrà eliminato.",
"v1": "v1",
"pathToCustomConfig": "Percorso alla configurazione personalizzata",
"modelThree": "Modello 3",
@@ -406,10 +441,40 @@
"inverseSigmoid": "Sigmoide inverso",
"v2_base": "v2 (512px)",
"v2_768": "v2 (768px)",
- "none": "niente",
+ "none": "nessuno",
"addDifference": "Aggiungi differenza",
"pickModelType": "Scegli il tipo di modello",
- "scanForModels": "Cerca modelli"
+ "scanForModels": "Cerca modelli",
+ "variant": "Variante",
+ "baseModel": "Modello Base",
+ "vae": "VAE",
+ "modelUpdateFailed": "Aggiornamento del modello non riuscito",
+ "modelConversionFailed": "Conversione del modello non riuscita",
+ "modelsMergeFailed": "Unione modelli non riuscita",
+ "selectModel": "Seleziona Modello",
+ "modelDeleted": "Modello eliminato",
+ "modelDeleteFailed": "Impossibile eliminare il modello",
+ "noCustomLocationProvided": "Nessuna posizione personalizzata fornita",
+ "convertingModelBegin": "Conversione del modello. Attendere prego.",
+ "importModels": "Importa modelli",
+ "modelsSynced": "Modelli sincronizzati",
+ "modelSyncFailed": "Sincronizzazione modello non riuscita",
+ "settings": "Impostazioni",
+ "syncModels": "Sincronizza Modelli",
+ "syncModelsDesc": "Se i tuoi modelli non sono sincronizzati con il back-end, puoi aggiornarli utilizzando questa opzione. Questo è generalmente utile nei casi in cui aggiorni manualmente il tuo file models.yaml o aggiungi modelli alla cartella principale di InvokeAI dopo l'avvio dell'applicazione.",
+ "loraModels": "LoRA",
+ "oliveModels": "Olive",
+ "onnxModels": "ONNX",
+ "noModels": "Nessun modello trovato",
+ "predictionType": "Tipo di previsione (per modelli Stable Diffusion 2.x ed alcuni modelli Stable Diffusion 1.x)",
+ "quickAdd": "Aggiunta rapida",
+ "simpleModelDesc": "Fornire un percorso a un modello diffusori locale, un modello checkpoint/safetensor locale, un ID repository HuggingFace o un URL del modello checkpoint/diffusori.",
+ "advanced": "Avanzate",
+ "useCustomConfig": "Utilizza configurazione personalizzata",
+ "closeAdvanced": "Chiudi Avanzate",
+ "modelType": "Tipo di modello",
+ "customConfigFileLocation": "Posizione del file di configurazione personalizzato",
+ "vaePrecision": "Precisione VAE"
},
"parameters": {
"images": "Immagini",
@@ -417,10 +482,9 @@
"cfgScale": "Scala CFG",
"width": "Larghezza",
"height": "Altezza",
- "sampler": "Campionatore",
"seed": "Seme",
"randomizeSeed": "Seme randomizzato",
- "shuffle": "Casuale",
+ "shuffle": "Mescola il seme",
"noiseThreshold": "Soglia del rumore",
"perlinNoise": "Rumore Perlin",
"variations": "Variazioni",
@@ -431,7 +495,7 @@
"type": "Tipo",
"strength": "Forza",
"upscaling": "Ampliamento",
- "upscale": "Amplia",
+ "upscale": "Amplia (Shift + U)",
"upscaleImage": "Amplia Immagine",
"scale": "Scala",
"otherOptions": "Altre opzioni",
@@ -439,10 +503,6 @@
"hiresOptim": "Ottimizzazione alta risoluzione",
"imageFit": "Adatta l'immagine iniziale alle dimensioni di output",
"codeformerFidelity": "Fedeltà",
- "seamSize": "Dimensione della cucitura",
- "seamBlur": "Sfocatura cucitura",
- "seamStrength": "Forza della cucitura",
- "seamSteps": "Passaggi di cucitura",
"scaleBeforeProcessing": "Scala prima dell'elaborazione",
"scaledWidth": "Larghezza ridimensionata",
"scaledHeight": "Altezza ridimensionata",
@@ -453,10 +513,8 @@
"infillScalingHeader": "Riempimento e ridimensionamento",
"img2imgStrength": "Forza da Immagine a Immagine",
"toggleLoopback": "Attiva/disattiva elaborazione ricorsiva",
- "invoke": "Invoke",
- "promptPlaceholder": "Digita qui il prompt usando termini in lingua inglese. [token negativi], (aumenta il peso)++, (diminuisci il peso)--, scambia e fondi sono disponibili (consulta la documentazione)",
"sendTo": "Invia a",
- "sendToImg2Img": "Invia a da Immagine a Immagine",
+ "sendToImg2Img": "Invia a Immagine a Immagine",
"sendToUnifiedCanvas": "Invia a Tela Unificata",
"copyImageToLink": "Copia l'immagine nel collegamento",
"downloadImage": "Scarica l'immagine",
@@ -467,54 +525,137 @@
"useAll": "Usa Tutto",
"useInitImg": "Usa l'immagine iniziale",
"info": "Informazioni",
- "deleteImage": "Elimina immagine",
"initialImage": "Immagine iniziale",
- "showOptionsPanel": "Mostra pannello opzioni",
+ "showOptionsPanel": "Mostra il pannello laterale (O o T)",
"general": "Generale",
- "denoisingStrength": "Forza riduzione rumore",
+ "denoisingStrength": "Forza di riduzione del rumore",
"copyImage": "Copia immagine",
"hiresStrength": "Forza Alta Risoluzione",
- "negativePrompts": "Prompt Negativi",
"imageToImage": "Immagine a Immagine",
"cancel": {
"schedule": "Annulla dopo l'iterazione corrente",
"isScheduled": "Annullamento",
"setType": "Imposta il tipo di annullamento",
- "immediate": "Annulla immediatamente"
+ "immediate": "Annulla immediatamente",
+ "cancel": "Annulla"
},
"hSymmetryStep": "Passi Simmetria Orizzontale",
"vSymmetryStep": "Passi Simmetria Verticale",
"symmetry": "Simmetria",
"hidePreview": "Nascondi l'anteprima",
- "showPreview": "Mostra l'anteprima"
+ "showPreview": "Mostra l'anteprima",
+ "noiseSettings": "Rumore",
+ "seamlessXAxis": "Asse X",
+ "seamlessYAxis": "Asse Y",
+ "scheduler": "Campionatore",
+ "boundingBoxWidth": "Larghezza riquadro di delimitazione",
+ "boundingBoxHeight": "Altezza riquadro di delimitazione",
+ "positivePromptPlaceholder": "Prompt Positivo",
+ "negativePromptPlaceholder": "Prompt Negativo",
+ "controlNetControlMode": "Modalità di controllo",
+ "clipSkip": "CLIP Skip",
+ "aspectRatio": "Proporzioni",
+ "maskAdjustmentsHeader": "Regolazioni della maschera",
+ "maskBlur": "Sfocatura",
+ "maskBlurMethod": "Metodo di sfocatura",
+ "seamLowThreshold": "Basso",
+ "seamHighThreshold": "Alto",
+ "coherencePassHeader": "Passaggio di coerenza",
+ "coherenceSteps": "Passi",
+ "coherenceStrength": "Forza",
+ "compositingSettingsHeader": "Impostazioni di composizione",
+ "patchmatchDownScaleSize": "Ridimensiona",
+ "coherenceMode": "Modalità",
+ "invoke": {
+ "noNodesInGraph": "Nessun nodo nel grafico",
+ "noModelSelected": "Nessun modello selezionato",
+ "noPrompts": "Nessun prompt generato",
+ "noInitialImageSelected": "Nessuna immagine iniziale selezionata",
+ "readyToInvoke": "Pronto per invocare",
+ "addingImagesTo": "Aggiungi immagini a",
+ "systemBusy": "Sistema occupato",
+ "unableToInvoke": "Impossibile invocare",
+ "systemDisconnected": "Sistema disconnesso",
+ "noControlImageForControlAdapter": "L'adattatore di controllo #{{number}} non ha un'immagine di controllo",
+ "noModelForControlAdapter": "Nessun modello selezionato per l'adattatore di controllo #{{number}}.",
+ "incompatibleBaseModelForControlAdapter": "Il modello dell'adattatore di controllo #{{number}} non è compatibile con il modello principale.",
+ "missingNodeTemplate": "Modello di nodo mancante",
+ "missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} ingresso mancante",
+ "missingFieldTemplate": "Modello di campo mancante"
+ },
+ "enableNoiseSettings": "Abilita le impostazioni del rumore",
+ "cpuNoise": "Rumore CPU",
+ "gpuNoise": "Rumore GPU",
+ "useCpuNoise": "Usa la CPU per generare rumore",
+ "manualSeed": "Seme manuale",
+ "randomSeed": "Seme casuale",
+ "iterations": "Iterazioni",
+ "iterationsWithCount_one": "{{count}} Iterazione",
+ "iterationsWithCount_many": "{{count}} Iterazioni",
+ "iterationsWithCount_other": "{{count}} Iterazioni",
+ "seamlessX&Y": "Senza cuciture X & Y",
+ "isAllowedToUpscale": {
+ "useX2Model": "L'immagine è troppo grande per l'ampliamento con il modello x4, utilizza il modello x2",
+ "tooLarge": "L'immagine è troppo grande per l'ampliamento, seleziona un'immagine più piccola"
+ },
+ "seamlessX": "Senza cuciture X",
+ "seamlessY": "Senza cuciture Y",
+ "imageActions": "Azioni Immagine",
+ "aspectRatioFree": "Libere"
},
"settings": {
"models": "Modelli",
- "displayInProgress": "Visualizza immagini in corso",
+ "displayInProgress": "Visualizza le immagini di avanzamento",
"saveSteps": "Salva le immagini ogni n passaggi",
"confirmOnDelete": "Conferma l'eliminazione",
"displayHelpIcons": "Visualizza le icone della Guida",
- "useCanvasBeta": "Utilizza il layout beta di Canvas",
"enableImageDebugging": "Abilita il debug dell'immagine",
"resetWebUI": "Reimposta l'interfaccia utente Web",
"resetWebUIDesc1": "Il ripristino dell'interfaccia utente Web reimposta solo la cache locale del browser delle immagini e le impostazioni memorizzate. Non cancella alcuna immagine dal disco.",
"resetWebUIDesc2": "Se le immagini non vengono visualizzate nella galleria o qualcos'altro non funziona, prova a reimpostare prima di segnalare un problema su GitHub.",
- "resetComplete": "L'interfaccia utente Web è stata reimpostata. Aggiorna la pagina per ricaricarla.",
- "useSlidersForAll": "Usa i cursori per tutte le opzioni"
+ "resetComplete": "L'interfaccia utente Web è stata reimpostata.",
+ "useSlidersForAll": "Usa i cursori per tutte le opzioni",
+ "general": "Generale",
+ "consoleLogLevel": "Livello del registro",
+ "shouldLogToConsole": "Registrazione della console",
+ "developer": "Sviluppatore",
+ "antialiasProgressImages": "Anti aliasing delle immagini di avanzamento",
+ "showProgressInViewer": "Mostra le immagini di avanzamento nel visualizzatore",
+ "generation": "Generazione",
+ "ui": "Interfaccia Utente",
+ "favoriteSchedulersPlaceholder": "Nessun campionatore preferito",
+ "favoriteSchedulers": "Campionatori preferiti",
+ "showAdvancedOptions": "Mostra Opzioni Avanzate",
+ "alternateCanvasLayout": "Layout alternativo della tela",
+ "beta": "Beta",
+ "enableNodesEditor": "Abilita l'editor dei nodi",
+ "experimental": "Sperimentale",
+ "autoChangeDimensions": "Aggiorna L/A alle impostazioni predefinite del modello in caso di modifica",
+ "clearIntermediates": "Cancella le immagini intermedie",
+ "clearIntermediatesDesc3": "Le immagini della galleria non verranno eliminate.",
+ "clearIntermediatesDesc2": "Le immagini intermedie sono sottoprodotti della generazione, diversi dalle immagini risultanti nella galleria. La cancellazione degli intermedi libererà spazio su disco.",
+ "intermediatesCleared_one": "Cancellata {{count}} immagine intermedia",
+ "intermediatesCleared_many": "Cancellate {{count}} immagini intermedie",
+ "intermediatesCleared_other": "Cancellate {{count}} immagini intermedie",
+ "clearIntermediatesDesc1": "La cancellazione delle immagini intermedie ripristinerà lo stato di Tela Unificata e ControlNet.",
+ "intermediatesClearedFailed": "Problema con la cancellazione delle immagini intermedie",
+ "clearIntermediatesWithCount_one": "Cancella {{count}} immagine intermedia",
+ "clearIntermediatesWithCount_many": "Cancella {{count}} immagini intermedie",
+ "clearIntermediatesWithCount_other": "Cancella {{count}} immagini intermedie",
+ "clearIntermediatesDisabled": "La coda deve essere vuota per cancellare le immagini intermedie"
},
"toast": {
"tempFoldersEmptied": "Cartella temporanea svuotata",
"uploadFailed": "Caricamento fallito",
- "uploadFailedMultipleImagesDesc": "Più immagini incollate, si può caricare solo un'immagine alla volta",
"uploadFailedUnableToLoadDesc": "Impossibile caricare il file",
"downloadImageStarted": "Download dell'immagine avviato",
"imageCopied": "Immagine copiata",
"imageLinkCopied": "Collegamento immagine copiato",
"imageNotLoaded": "Nessuna immagine caricata",
- "imageNotLoadedDesc": "Nessuna immagine trovata da inviare al modulo da Immagine a Immagine",
+ "imageNotLoadedDesc": "Impossibile trovare l'immagine",
"imageSavedToGallery": "Immagine salvata nella Galleria",
"canvasMerged": "Tela unita",
- "sentToImageToImage": "Inviato a da Immagine a Immagine",
+ "sentToImageToImage": "Inviato a Immagine a Immagine",
"sentToUnifiedCanvas": "Inviato a Tela Unificata",
"parametersSet": "Parametri impostati",
"parametersNotSet": "Parametri non impostati",
@@ -536,7 +677,57 @@
"serverError": "Errore del Server",
"disconnected": "Disconnesso dal Server",
"connected": "Connesso al Server",
- "canceled": "Elaborazione annullata"
+ "canceled": "Elaborazione annullata",
+ "problemCopyingImageLink": "Impossibile copiare il collegamento dell'immagine",
+ "uploadFailedInvalidUploadDesc": "Deve essere una singola immagine PNG o JPEG",
+ "parameterSet": "Parametro impostato",
+ "parameterNotSet": "Parametro non impostato",
+ "nodesLoadedFailed": "Impossibile caricare i nodi",
+ "nodesSaved": "Nodi salvati",
+ "nodesLoaded": "Nodi caricati",
+ "nodesCleared": "Nodi cancellati",
+ "problemCopyingImage": "Impossibile copiare l'immagine",
+ "nodesNotValidGraph": "Grafico del nodo InvokeAI non valido",
+ "nodesCorruptedGraph": "Impossibile caricare. Il grafico sembra essere danneggiato.",
+ "nodesUnrecognizedTypes": "Impossibile caricare. Il grafico ha tipi di dati non riconosciuti",
+ "nodesNotValidJSON": "JSON non valido",
+ "nodesBrokenConnections": "Impossibile caricare. Alcune connessioni sono interrotte.",
+ "baseModelChangedCleared_one": "Il modello base è stato modificato, cancellato o disabilitato {{count}} sotto-modello incompatibile",
+ "baseModelChangedCleared_many": "Il modello base è stato modificato, cancellato o disabilitato {{count}} sotto-modelli incompatibili",
+ "baseModelChangedCleared_other": "Il modello base è stato modificato, cancellato o disabilitato {{count}} sotto-modelli incompatibili",
+ "imageSavingFailed": "Salvataggio dell'immagine non riuscito",
+ "canvasSentControlnetAssets": "Tela inviata a ControlNet & Risorse",
+ "problemCopyingCanvasDesc": "Impossibile copiare la tela",
+ "loadedWithWarnings": "Flusso di lavoro caricato con avvisi",
+ "canvasCopiedClipboard": "Tela copiata negli appunti",
+ "maskSavedAssets": "Maschera salvata nelle risorse",
+ "modelAddFailed": "Aggiunta del modello non riuscita",
+ "problemDownloadingCanvas": "Problema durante il download della tela",
+ "problemMergingCanvas": "Problema nell'unione delle tele",
+ "imageUploaded": "Immagine caricata",
+ "addedToBoard": "Aggiunto alla bacheca",
+ "modelAddedSimple": "Modello aggiunto",
+ "problemImportingMaskDesc": "Impossibile importare la maschera",
+ "problemCopyingCanvas": "Problema durante la copia della tela",
+ "problemSavingCanvas": "Problema nel salvataggio della tela",
+ "canvasDownloaded": "Tela scaricata",
+ "problemMergingCanvasDesc": "Impossibile unire le tele",
+ "problemDownloadingCanvasDesc": "Impossibile scaricare la tela",
+ "imageSaved": "Immagine salvata",
+ "maskSentControlnetAssets": "Maschera inviata a ControlNet & Risorse",
+ "canvasSavedGallery": "Tela salvata nella Galleria",
+ "imageUploadFailed": "Caricamento immagine non riuscito",
+ "modelAdded": "Modello aggiunto: {{modelName}}",
+ "problemImportingMask": "Problema durante l'importazione della maschera",
+ "setInitialImage": "Imposta come immagine iniziale",
+ "setControlImage": "Imposta come immagine di controllo",
+ "setNodeField": "Imposta come campo nodo",
+ "problemSavingMask": "Problema nel salvataggio della maschera",
+ "problemSavingCanvasDesc": "Impossibile salvare la tela",
+ "setCanvasInitialImage": "Imposta come immagine iniziale della tela",
+ "workflowLoaded": "Flusso di lavoro caricato",
+ "setIPAdapterImage": "Imposta come immagine per l'Adattatore IP",
+ "problemSavingMaskDesc": "Impossibile salvare la maschera"
},
"tooltip": {
"feature": {
@@ -610,7 +801,10 @@
"betaClear": "Svuota",
"betaDarkenOutside": "Oscura all'esterno",
"betaLimitToBox": "Limita al rettangolo",
- "betaPreserveMasked": "Conserva quanto mascherato"
+ "betaPreserveMasked": "Conserva quanto mascherato",
+ "antialiasing": "Anti aliasing",
+ "showResultsOn": "Mostra i risultati (attivato)",
+ "showResultsOff": "Mostra i risultati (disattivato)"
},
"accessibility": {
"modelSelect": "Seleziona modello",
@@ -628,11 +822,666 @@
"rotateClockwise": "Ruotare in senso orario",
"flipHorizontally": "Capovolgi orizzontalmente",
"toggleLogViewer": "Attiva/disattiva visualizzatore registro",
- "showGallery": "Mostra la galleria immagini",
- "showOptionsPanel": "Mostra il pannello opzioni",
+ "showOptionsPanel": "Mostra il pannello laterale",
"flipVertically": "Capovolgi verticalmente",
"toggleAutoscroll": "Attiva/disattiva lo scorrimento automatico",
"modifyConfig": "Modifica configurazione",
- "menu": "Menu"
+ "menu": "Menu",
+ "showGalleryPanel": "Mostra il pannello Galleria",
+ "loadMore": "Carica altro"
+ },
+ "ui": {
+ "hideProgressImages": "Nascondi avanzamento immagini",
+ "showProgressImages": "Mostra avanzamento immagini",
+ "swapSizes": "Scambia dimensioni",
+ "lockRatio": "Blocca le proporzioni"
+ },
+ "nodes": {
+ "zoomOutNodes": "Rimpicciolire",
+ "hideGraphNodes": "Nascondi sovrapposizione grafico",
+ "hideLegendNodes": "Nascondi la legenda del tipo di campo",
+ "showLegendNodes": "Mostra legenda del tipo di campo",
+ "hideMinimapnodes": "Nascondi minimappa",
+ "showMinimapnodes": "Mostra minimappa",
+ "zoomInNodes": "Ingrandire",
+ "fitViewportNodes": "Adatta vista",
+ "showGraphNodes": "Mostra sovrapposizione grafico",
+ "resetWorkflowDesc2": "Reimpostare il flusso di lavoro cancellerà tutti i nodi, i bordi e i dettagli del flusso di lavoro.",
+ "reloadNodeTemplates": "Ricarica i modelli di nodo",
+ "loadWorkflow": "Importa flusso di lavoro JSON",
+ "resetWorkflow": "Reimposta flusso di lavoro",
+ "resetWorkflowDesc": "Sei sicuro di voler reimpostare questo flusso di lavoro?",
+ "downloadWorkflow": "Esporta flusso di lavoro JSON",
+ "scheduler": "Campionatore",
+ "addNode": "Aggiungi nodo",
+ "sDXLMainModelFieldDescription": "Campo del modello SDXL.",
+ "boardField": "Bacheca",
+ "animatedEdgesHelp": "Anima i bordi selezionati e i bordi collegati ai nodi selezionati",
+ "sDXLMainModelField": "Modello SDXL",
+ "executionStateInProgress": "In corso",
+ "executionStateError": "Errore",
+ "executionStateCompleted": "Completato",
+ "boardFieldDescription": "Una bacheca della galleria",
+ "addNodeToolTip": "Aggiungi nodo (Shift+A, Space)",
+ "sDXLRefinerModelField": "Modello Refiner",
+ "problemReadingMetadata": "Problema durante la lettura dei metadati dall'immagine",
+ "colorCodeEdgesHelp": "Bordi con codice colore in base ai campi collegati",
+ "animatedEdges": "Bordi animati",
+ "snapToGrid": "Aggancia alla griglia",
+ "validateConnections": "Convalida connessioni e grafico",
+ "validateConnectionsHelp": "Impedisce che vengano effettuate connessioni non valide e che vengano \"invocati\" grafici non validi",
+ "fullyContainNodesHelp": "I nodi devono essere completamente all'interno della casella di selezione per essere selezionati",
+ "fullyContainNodes": "Contenere completamente i nodi da selezionare",
+ "snapToGridHelp": "Aggancia i nodi alla griglia quando vengono spostati",
+ "workflowSettings": "Impostazioni Editor del flusso di lavoro",
+ "colorCodeEdges": "Bordi con codice colore",
+ "mainModelField": "Modello",
+ "noOutputRecorded": "Nessun output registrato",
+ "noFieldsLinearview": "Nessun campo aggiunto alla vista lineare",
+ "removeLinearView": "Rimuovi dalla vista lineare",
+ "workflowDescription": "Breve descrizione",
+ "workflowContact": "Contatto",
+ "workflowVersion": "Versione",
+ "workflow": "Flusso di lavoro",
+ "noWorkflow": "Nessun flusso di lavoro",
+ "workflowTags": "Tag",
+ "workflowValidation": "Errore di convalida del flusso di lavoro",
+ "workflowAuthor": "Autore",
+ "workflowName": "Nome",
+ "workflowNotes": "Note",
+ "unhandledInputProperty": "Proprietà di input non gestita",
+ "versionUnknown": " Versione sconosciuta",
+ "unableToValidateWorkflow": "Impossibile convalidare il flusso di lavoro",
+ "updateApp": "Aggiorna App",
+ "problemReadingWorkflow": "Problema durante la lettura del flusso di lavoro dall'immagine",
+ "unableToLoadWorkflow": "Impossibile caricare il flusso di lavoro",
+ "updateNode": "Aggiorna nodo",
+ "version": "Versione",
+ "notes": "Note",
+ "problemSettingTitle": "Problema nell'impostazione del titolo",
+ "unkownInvocation": "Tipo di invocazione sconosciuta",
+ "unknownTemplate": "Modello sconosciuto",
+ "nodeType": "Tipo di nodo",
+ "vaeField": "VAE",
+ "unhandledOutputProperty": "Proprietà di output non gestita",
+ "notesDescription": "Aggiunge note sul tuo flusso di lavoro",
+ "unknownField": "Campo sconosciuto",
+ "unknownNode": "Nodo sconosciuto",
+ "vaeFieldDescription": "Sotto modello VAE.",
+ "booleanPolymorphicDescription": "Una raccolta di booleani.",
+ "missingTemplate": "Modello mancante",
+ "outputSchemaNotFound": "Schema di output non trovato",
+ "colorFieldDescription": "Un colore RGBA.",
+ "maybeIncompatible": "Potrebbe essere incompatibile con quello installato",
+ "noNodeSelected": "Nessun nodo selezionato",
+ "colorPolymorphic": "Colore polimorfico",
+ "booleanCollectionDescription": "Una raccolta di booleani.",
+ "colorField": "Colore",
+ "nodeTemplate": "Modello di nodo",
+ "nodeOpacity": "Opacità del nodo",
+ "pickOne": "Sceglierne uno",
+ "outputField": "Campo di output",
+ "nodeSearch": "Cerca nodi",
+ "nodeOutputs": "Uscite del nodo",
+ "collectionItem": "Oggetto della raccolta",
+ "noConnectionInProgress": "Nessuna connessione in corso",
+ "noConnectionData": "Nessun dato di connessione",
+ "outputFields": "Campi di output",
+ "cannotDuplicateConnection": "Impossibile creare connessioni duplicate",
+ "booleanPolymorphic": "Polimorfico booleano",
+ "colorPolymorphicDescription": "Una collezione di colori polimorfici.",
+ "missingCanvaInitImage": "Immagine iniziale della tela mancante",
+ "clipFieldDescription": "Sottomodelli di tokenizzatore e codificatore di testo.",
+ "noImageFoundState": "Nessuna immagine iniziale trovata nello stato",
+ "clipField": "CLIP",
+ "noMatchingNodes": "Nessun nodo corrispondente",
+ "noFieldType": "Nessun tipo di campo",
+ "colorCollection": "Una collezione di colori.",
+ "noOutputSchemaName": "Nessun nome dello schema di output trovato nell'oggetto di riferimento",
+ "boolean": "Booleani",
+ "missingCanvaInitMaskImages": "Immagini di inizializzazione e maschera della tela mancanti",
+ "oNNXModelField": "Modello ONNX",
+ "node": "Nodo",
+ "booleanDescription": "I booleani sono veri o falsi.",
+ "collection": "Raccolta",
+ "cannotConnectInputToInput": "Impossibile collegare Input a Input",
+ "cannotConnectOutputToOutput": "Impossibile collegare Output ad Output",
+ "booleanCollection": "Raccolta booleana",
+ "cannotConnectToSelf": "Impossibile connettersi a se stesso",
+ "mismatchedVersion": "Ha una versione non corrispondente",
+ "outputNode": "Nodo di Output",
+ "loadingNodes": "Caricamento nodi...",
+ "oNNXModelFieldDescription": "Campo del modello ONNX.",
+ "denoiseMaskFieldDescription": "La maschera di riduzione del rumore può essere passata tra i nodi",
+ "floatCollectionDescription": "Una raccolta di numeri virgola mobile.",
+ "enum": "Enumeratore",
+ "float": "In virgola mobile",
+ "doesNotExist": "non esiste",
+ "currentImageDescription": "Visualizza l'immagine corrente nell'editor dei nodi",
+ "fieldTypesMustMatch": "I tipi di campo devono corrispondere",
+ "edge": "Bordo",
+ "enumDescription": "Gli enumeratori sono valori che possono essere una delle diverse opzioni.",
+ "denoiseMaskField": "Maschera riduzione rumore",
+ "currentImage": "Immagine corrente",
+ "floatCollection": "Raccolta in virgola mobile",
+ "inputField": "Campo di Input",
+ "controlFieldDescription": "Informazioni di controllo passate tra i nodi.",
+ "skippingUnknownOutputType": "Tipo di campo di output sconosciuto saltato",
+ "latentsFieldDescription": "Le immagini latenti possono essere passate tra i nodi.",
+ "ipAdapterPolymorphicDescription": "Una raccolta di adattatori IP.",
+ "latentsPolymorphicDescription": "Le immagini latenti possono essere passate tra i nodi.",
+ "ipAdapterCollection": "Raccolta Adattatori IP",
+ "conditioningCollection": "Raccolta condizionamenti",
+ "ipAdapterPolymorphic": "Adattatore IP Polimorfico",
+ "integerPolymorphicDescription": "Una raccolta di numeri interi.",
+ "conditioningCollectionDescription": "Il condizionamento può essere passato tra i nodi.",
+ "skippingReservedFieldType": "Tipo di campo riservato saltato",
+ "conditioningPolymorphic": "Condizionamento Polimorfico",
+ "integer": "Numero Intero",
+ "latentsCollection": "Raccolta Latenti",
+ "sourceNode": "Nodo di origine",
+ "integerDescription": "Gli interi sono numeri senza punto decimale.",
+ "stringPolymorphic": "Stringa polimorfica",
+ "conditioningPolymorphicDescription": "Il condizionamento può essere passato tra i nodi.",
+ "skipped": "Saltato",
+ "imagePolymorphic": "Immagine Polimorfica",
+ "imagePolymorphicDescription": "Una raccolta di immagini.",
+ "floatPolymorphic": "Numeri in virgola mobile Polimorfici",
+ "ipAdapterCollectionDescription": "Una raccolta di adattatori IP.",
+ "stringCollectionDescription": "Una raccolta di stringhe.",
+ "unableToParseNode": "Impossibile analizzare il nodo",
+ "controlCollection": "Raccolta di Controllo",
+ "stringCollection": "Raccolta di stringhe",
+ "inputMayOnlyHaveOneConnection": "L'ingresso può avere solo una connessione",
+ "ipAdapter": "Adattatore IP",
+ "integerCollection": "Raccolta di numeri interi",
+ "controlCollectionDescription": "Informazioni di controllo passate tra i nodi.",
+ "skippedReservedInput": "Campo di input riservato saltato",
+ "inputNode": "Nodo di Input",
+ "imageField": "Immagine",
+ "skippedReservedOutput": "Campo di output riservato saltato",
+ "integerCollectionDescription": "Una raccolta di numeri interi.",
+ "conditioningFieldDescription": "Il condizionamento può essere passato tra i nodi.",
+ "stringDescription": "Le stringhe sono testo.",
+ "integerPolymorphic": "Numero intero Polimorfico",
+ "ipAdapterModel": "Modello Adattatore IP",
+ "latentsPolymorphic": "Latenti polimorfici",
+ "skippingInputNoTemplate": "Campo di input senza modello saltato",
+ "ipAdapterDescription": "Un adattatore di prompt di immagini (Adattatore IP).",
+ "stringPolymorphicDescription": "Una raccolta di stringhe.",
+ "skippingUnknownInputType": "Tipo di campo di input sconosciuto saltato",
+ "controlField": "Controllo",
+ "ipAdapterModelDescription": "Campo Modello adattatore IP",
+ "invalidOutputSchema": "Schema di output non valido",
+ "floatDescription": "I numeri in virgola mobile sono numeri con un punto decimale.",
+ "floatPolymorphicDescription": "Una raccolta di numeri in virgola mobile.",
+ "conditioningField": "Condizionamento",
+ "string": "Stringa",
+ "latentsField": "Latenti",
+ "connectionWouldCreateCycle": "La connessione creerebbe un ciclo",
+ "inputFields": "Campi di Input",
+ "uNetFieldDescription": "Sub-modello UNet.",
+ "imageCollectionDescription": "Una raccolta di immagini.",
+ "imageFieldDescription": "Le immagini possono essere passate tra i nodi.",
+ "unableToParseEdge": "Impossibile analizzare il bordo",
+ "latentsCollectionDescription": "Le immagini latenti possono essere passate tra i nodi.",
+ "imageCollection": "Raccolta Immagini"
+ },
+ "boards": {
+ "autoAddBoard": "Aggiungi automaticamente bacheca",
+ "menuItemAutoAdd": "Aggiungi automaticamente a questa Bacheca",
+ "cancel": "Annulla",
+ "addBoard": "Aggiungi Bacheca",
+ "bottomMessage": "L'eliminazione di questa bacheca e delle sue immagini ripristinerà tutte le funzionalità che le stanno attualmente utilizzando.",
+ "changeBoard": "Cambia Bacheca",
+ "loading": "Caricamento in corso ...",
+ "clearSearch": "Cancella Ricerca",
+ "topMessage": "Questa bacheca contiene immagini utilizzate nelle seguenti funzionalità:",
+ "move": "Sposta",
+ "myBoard": "Bacheca",
+ "searchBoard": "Cerca bacheche ...",
+ "noMatching": "Nessuna bacheca corrispondente",
+ "selectBoard": "Seleziona una Bacheca",
+ "uncategorized": "Non categorizzato",
+ "downloadBoard": "Scarica la bacheca"
+ },
+ "controlnet": {
+ "contentShuffleDescription": "Rimescola il contenuto di un'immagine",
+ "contentShuffle": "Rimescola contenuto",
+ "beginEndStepPercent": "Percentuale passi Inizio / Fine",
+ "duplicate": "Duplica",
+ "balanced": "Bilanciato",
+ "depthMidasDescription": "Generazione di mappe di profondità usando Midas",
+ "control": "ControlNet",
+ "crop": "Ritaglia",
+ "depthMidas": "Profondità (Midas)",
+ "enableControlnet": "Abilita ControlNet",
+ "detectResolution": "Rileva risoluzione",
+ "controlMode": "Modalità Controllo",
+ "cannyDescription": "Canny rilevamento bordi",
+ "depthZoe": "Profondità (Zoe)",
+ "autoConfigure": "Configura automaticamente il processore",
+ "delete": "Elimina",
+ "depthZoeDescription": "Generazione di mappe di profondità usando Zoe",
+ "resize": "Ridimensiona",
+ "showAdvanced": "Mostra opzioni Avanzate",
+ "bgth": "Soglia rimozione sfondo",
+ "importImageFromCanvas": "Importa immagine dalla Tela",
+ "lineartDescription": "Converte l'immagine in lineart",
+ "importMaskFromCanvas": "Importa maschera dalla Tela",
+ "hideAdvanced": "Nascondi opzioni avanzate",
+ "ipAdapterModel": "Modello Adattatore",
+ "resetControlImage": "Reimposta immagine di controllo",
+ "f": "F",
+ "h": "H",
+ "prompt": "Prompt",
+ "openPoseDescription": "Stima della posa umana utilizzando Openpose",
+ "resizeMode": "Modalità ridimensionamento",
+ "weight": "Peso",
+ "selectModel": "Seleziona un modello",
+ "w": "W",
+ "processor": "Processore",
+ "none": "Nessuno",
+ "incompatibleBaseModel": "Modello base incompatibile:",
+ "pidiDescription": "Elaborazione immagini PIDI",
+ "fill": "Riempire",
+ "colorMapDescription": "Genera una mappa dei colori dall'immagine",
+ "lineartAnimeDescription": "Elaborazione lineart in stile anime",
+ "imageResolution": "Risoluzione dell'immagine",
+ "colorMap": "Colore",
+ "lowThreshold": "Soglia inferiore",
+ "highThreshold": "Soglia superiore",
+ "normalBaeDescription": "Elaborazione BAE normale",
+ "noneDescription": "Nessuna elaborazione applicata",
+ "saveControlImage": "Salva immagine di controllo",
+ "toggleControlNet": "Attiva/disattiva questo ControlNet",
+ "safe": "Sicuro",
+ "colorMapTileSize": "Dimensione piastrella",
+ "ipAdapterImageFallback": "Nessuna immagine dell'Adattatore IP selezionata",
+ "mediapipeFaceDescription": "Rilevamento dei volti tramite Mediapipe",
+ "hedDescription": "Rilevamento dei bordi nidificati olisticamente",
+ "setControlImageDimensions": "Imposta le dimensioni dell'immagine di controllo su L/A",
+ "resetIPAdapterImage": "Reimposta immagine Adattatore IP",
+ "handAndFace": "Mano e faccia",
+ "enableIPAdapter": "Abilita Adattatore IP",
+ "maxFaces": "Numero massimo di volti",
+ "addT2IAdapter": "Aggiungi $t(common.t2iAdapter)",
+ "controlNetEnabledT2IDisabled": "$t(common.controlNet) abilitato, $t(common.t2iAdapter) disabilitati",
+ "t2iEnabledControlNetDisabled": "$t(common.t2iAdapter) abilitato, $t(common.controlNet) disabilitati",
+ "addControlNet": "Aggiungi $t(common.controlNet)",
+ "controlNetT2IMutexDesc": "$t(common.controlNet) e $t(common.t2iAdapter) contemporaneamente non sono attualmente supportati.",
+ "addIPAdapter": "Aggiungi $t(common.ipAdapter)",
+ "controlAdapter_one": "Adattatore di Controllo",
+ "controlAdapter_many": "Adattatori di Controllo",
+ "controlAdapter_other": "Adattatori di Controllo",
+ "megaControl": "Mega ControlNet",
+ "minConfidence": "Confidenza minima",
+ "scribble": "Scribble"
+ },
+ "queue": {
+ "queueFront": "Aggiungi all'inizio della coda",
+ "queueBack": "Aggiungi alla coda",
+ "queueCountPrediction": "Aggiungi {{predicted}} alla coda",
+ "queue": "Coda",
+ "status": "Stato",
+ "pruneSucceeded": "Rimossi {{item_count}} elementi completati dalla coda",
+ "cancelTooltip": "Annulla l'elemento corrente",
+ "queueEmpty": "Coda vuota",
+ "pauseSucceeded": "Elaborazione sospesa",
+ "in_progress": "In corso",
+ "notReady": "Impossibile mettere in coda",
+ "batchFailedToQueue": "Impossibile mettere in coda il lotto",
+ "completed": "Completati",
+ "batchValues": "Valori del lotto",
+ "cancelFailed": "Problema durante l'annullamento dell'elemento",
+ "batchQueued": "Lotto aggiunto alla coda",
+ "pauseFailed": "Problema durante la sospensione dell'elaborazione",
+ "clearFailed": "Problema nella cancellazione della coda",
+ "queuedCount": "{{pending}} In attesa",
+ "front": "inizio",
+ "clearSucceeded": "Coda cancellata",
+ "pause": "Sospendi",
+ "pruneTooltip": "Rimuovi {{item_count}} elementi completati",
+ "cancelSucceeded": "Elemento annullato",
+ "batchQueuedDesc_one": "Aggiunta {{count}} sessione a {{direction}} della coda",
+ "batchQueuedDesc_many": "Aggiunte {{count}} sessioni a {{direction}} della coda",
+ "batchQueuedDesc_other": "Aggiunte {{count}} sessioni a {{direction}} della coda",
+ "graphQueued": "Grafico in coda",
+ "batch": "Lotto",
+ "clearQueueAlertDialog": "Lo svuotamento della coda annulla immediatamente tutti gli elementi in elaborazione e cancella completamente la coda.",
+ "pending": "In attesa",
+ "completedIn": "Completato in",
+ "resumeFailed": "Problema nel riavvio dell'elaborazione",
+ "clear": "Cancella",
+ "prune": "Rimuovi",
+ "total": "Totale",
+ "canceled": "Annullati",
+ "pruneFailed": "Problema nel rimuovere la coda",
+ "cancelBatchSucceeded": "Lotto annullato",
+ "clearTooltip": "Annulla e cancella tutti gli elementi",
+ "current": "Attuale",
+ "pauseTooltip": "Sospende l'elaborazione",
+ "failed": "Falliti",
+ "cancelItem": "Annulla l'elemento",
+ "next": "Prossimo",
+ "cancelBatch": "Annulla lotto",
+ "back": "fine",
+ "cancel": "Annulla",
+ "session": "Sessione",
+ "queueTotal": "{{total}} Totale",
+ "resumeSucceeded": "Elaborazione ripresa",
+ "enqueueing": "Lotto in coda",
+ "resumeTooltip": "Riprendi l'elaborazione",
+ "resume": "Riprendi",
+ "cancelBatchFailed": "Problema durante l'annullamento del lotto",
+ "clearQueueAlertDialog2": "Sei sicuro di voler cancellare la coda?",
+ "item": "Elemento",
+ "graphFailedToQueue": "Impossibile mettere in coda il grafico",
+ "queueMaxExceeded": "È stato superato il limite massimo di {{max_queue_size}} e {{skip}} elementi verrebbero saltati"
+ },
+ "embedding": {
+ "noMatchingEmbedding": "Nessun Incorporamento corrispondente",
+ "addEmbedding": "Aggiungi Incorporamento",
+ "incompatibleModel": "Modello base incompatibile:"
+ },
+ "models": {
+ "noMatchingModels": "Nessun modello corrispondente",
+ "loading": "caricamento",
+ "noMatchingLoRAs": "Nessun LoRA corrispondente",
+ "noLoRAsAvailable": "Nessun LoRA disponibile",
+ "noModelsAvailable": "Nessun modello disponibile",
+ "selectModel": "Seleziona un modello",
+ "selectLoRA": "Seleziona un LoRA"
+ },
+ "invocationCache": {
+ "disable": "Disabilita",
+ "misses": "Non trovati in cache",
+ "enableFailed": "Problema nell'abilitazione della cache delle invocazioni",
+ "invocationCache": "Cache delle invocazioni",
+ "clearSucceeded": "Cache delle invocazioni svuotata",
+ "enableSucceeded": "Cache delle invocazioni abilitata",
+ "clearFailed": "Problema durante lo svuotamento della cache delle invocazioni",
+ "hits": "Trovati in cache",
+ "disableSucceeded": "Cache delle invocazioni disabilitata",
+ "disableFailed": "Problema durante la disabilitazione della cache delle invocazioni",
+ "enable": "Abilita",
+ "clear": "Svuota",
+ "maxCacheSize": "Dimensione max cache",
+ "cacheSize": "Dimensione cache"
+ },
+ "dynamicPrompts": {
+ "seedBehaviour": {
+ "perPromptDesc": "Utilizza un seme diverso per ogni immagine",
+ "perIterationLabel": "Per iterazione",
+ "perIterationDesc": "Utilizza un seme diverso per ogni iterazione",
+ "perPromptLabel": "Per immagine",
+ "label": "Comportamento del seme"
+ },
+ "enableDynamicPrompts": "Abilita prompt dinamici",
+ "combinatorial": "Generazione combinatoria",
+ "maxPrompts": "Numero massimo di prompt",
+ "promptsWithCount_one": "{{count}} Prompt",
+ "promptsWithCount_many": "{{count}} Prompt",
+ "promptsWithCount_other": "{{count}} Prompt",
+ "dynamicPrompts": "Prompt dinamici"
+ },
+ "popovers": {
+ "paramScheduler": {
+ "paragraphs": [
+ "Il campionatore definisce come aggiungere in modo iterativo il rumore a un'immagine o come aggiornare un campione in base all'output di un modello."
+ ],
+ "heading": "Campionatore"
+ },
+ "compositingMaskAdjustments": {
+ "heading": "Regolazioni della maschera",
+ "paragraphs": [
+ "Regola la maschera."
+ ]
+ },
+ "compositingCoherenceSteps": {
+ "heading": "Passi",
+ "paragraphs": [
+ "Numero di passi di riduzione del rumore utilizzati nel Passaggio di Coerenza.",
+ "Uguale al parametro principale Passi."
+ ]
+ },
+ "compositingBlur": {
+ "heading": "Sfocatura",
+ "paragraphs": [
+ "Il raggio di sfocatura della maschera."
+ ]
+ },
+ "compositingCoherenceMode": {
+ "heading": "Modalità",
+ "paragraphs": [
+ "La modalità del Passaggio di Coerenza."
+ ]
+ },
+ "clipSkip": {
+ "paragraphs": [
+ "Scegli quanti livelli del modello CLIP saltare.",
+ "Alcuni modelli funzionano meglio con determinate impostazioni di CLIP Skip.",
+ "Un valore più alto in genere produce un'immagine meno dettagliata."
+ ]
+ },
+ "compositingCoherencePass": {
+ "heading": "Passaggio di Coerenza",
+ "paragraphs": [
+ "Un secondo ciclo di riduzione del rumore aiuta a comporre l'immagine Inpaint/Outpaint."
+ ]
+ },
+ "compositingStrength": {
+ "heading": "Forza",
+ "paragraphs": [
+ "Intensità di riduzione del rumore per il passaggio di coerenza.",
+ "Uguale al parametro intensità di riduzione del rumore da immagine a immagine."
+ ]
+ },
+ "paramNegativeConditioning": {
+ "paragraphs": [
+ "Il processo di generazione evita i concetti nel prompt negativo. Utilizzatelo per escludere qualità o oggetti dall'output.",
+ "Supporta la sintassi e gli incorporamenti di Compel."
+ ],
+ "heading": "Prompt negativo"
+ },
+ "compositingBlurMethod": {
+ "heading": "Metodo di sfocatura",
+ "paragraphs": [
+ "Il metodo di sfocatura applicato all'area mascherata."
+ ]
+ },
+ "paramPositiveConditioning": {
+ "heading": "Prompt positivo",
+ "paragraphs": [
+ "Guida il processo di generazione. Puoi usare qualsiasi parola o frase.",
+ "Supporta sintassi e incorporamenti di Compel e Prompt Dinamici."
+ ]
+ },
+ "controlNetBeginEnd": {
+ "heading": "Percentuale passi Inizio / Fine",
+ "paragraphs": [
+ "A quali passi del processo di rimozione del rumore verrà applicato ControlNet.",
+ "I ControlNet applicati all'inizio del processo guidano la composizione, mentre i ControlNet applicati alla fine guidano i dettagli."
+ ]
+ },
+ "noiseUseCPU": {
+ "paragraphs": [
+ "Controlla se viene generato rumore sulla CPU o sulla GPU.",
+ "Con il rumore della CPU abilitato, un seme particolare produrrà la stessa immagine su qualsiasi macchina.",
+ "Non vi è alcun impatto sulle prestazioni nell'abilitare il rumore della CPU."
+ ],
+ "heading": "Usa la CPU per generare rumore"
+ },
+ "scaleBeforeProcessing": {
+ "paragraphs": [
+ "Ridimensiona l'area selezionata alla dimensione più adatta al modello prima del processo di generazione dell'immagine."
+ ],
+ "heading": "Scala prima dell'elaborazione"
+ },
+ "paramRatio": {
+ "heading": "Proporzioni",
+ "paragraphs": [
+ "Le proporzioni delle dimensioni dell'immagine generata.",
+ "Per i modelli SD1.5 si consiglia una dimensione dell'immagine (in numero di pixel) equivalente a 512x512 mentre per i modelli SDXL si consiglia una dimensione equivalente a 1024x1024."
+ ]
+ },
+ "dynamicPrompts": {
+ "paragraphs": [
+ "Prompt Dinamici crea molte variazioni a partire da un singolo prompt.",
+ "La sintassi di base è \"a {red|green|blue} ball\". Ciò produrrà tre prompt: \"a red ball\", \"a green ball\" e \"a blue ball\".",
+ "Puoi utilizzare la sintassi quante volte vuoi in un singolo prompt, ma assicurati di tenere sotto controllo il numero di prompt generati con l'impostazione \"Numero massimo di prompt\"."
+ ],
+ "heading": "Prompt Dinamici"
+ },
+ "paramVAE": {
+ "paragraphs": [
+ "Modello utilizzato per tradurre l'output dell'intelligenza artificiale nell'immagine finale."
+ ],
+ "heading": "VAE"
+ },
+ "paramIterations": {
+ "paragraphs": [
+ "Il numero di immagini da generare.",
+ "Se i prompt dinamici sono abilitati, ciascuno dei prompt verrà generato questo numero di volte."
+ ],
+ "heading": "Iterazioni"
+ },
+ "paramVAEPrecision": {
+ "heading": "Precisione VAE",
+ "paragraphs": [
+ "La precisione utilizzata durante la codifica e decodifica VAE. FP16/mezza precisione è più efficiente, a scapito di minori variazioni dell'immagine."
+ ]
+ },
+ "paramSeed": {
+ "paragraphs": [
+ "Controlla il rumore iniziale utilizzato per la generazione.",
+ "Disabilita seme \"Casuale\" per produrre risultati identici con le stesse impostazioni di generazione."
+ ],
+ "heading": "Seme"
+ },
+ "controlNetResizeMode": {
+ "heading": "Modalità ridimensionamento",
+ "paragraphs": [
+ "Come l'immagine ControlNet verrà adattata alle dimensioni di output dell'immagine."
+ ]
+ },
+ "dynamicPromptsSeedBehaviour": {
+ "paragraphs": [
+ "Controlla il modo in cui viene utilizzato il seme durante la generazione dei prompt.",
+ "Per iterazione utilizzerà un seme univoco per ogni iterazione. Usalo per esplorare variazioni del prompt su un singolo seme.",
+ "Ad esempio, se hai 5 prompt, ogni immagine utilizzerà lo stesso seme.",
+ "Per immagine utilizzerà un seme univoco per ogni immagine. Ciò fornisce più variazione."
+ ],
+ "heading": "Comportamento del seme"
+ },
+ "paramModel": {
+ "heading": "Modello",
+ "paragraphs": [
+ "Modello utilizzato per i passaggi di riduzione del rumore.",
+ "Diversi modelli sono generalmente addestrati per specializzarsi nella produzione di particolari risultati e contenuti estetici."
+ ]
+ },
+ "paramDenoisingStrength": {
+ "paragraphs": [
+ "Quanto rumore viene aggiunto all'immagine in ingresso.",
+ "0 risulterà in un'immagine identica, mentre 1 risulterà in un'immagine completamente nuova."
+ ],
+ "heading": "Forza di riduzione del rumore"
+ },
+ "dynamicPromptsMaxPrompts": {
+ "heading": "Numero massimo di prompt",
+ "paragraphs": [
+ "Limita il numero di prompt che possono essere generati da Prompt Dinamici."
+ ]
+ },
+ "infillMethod": {
+ "paragraphs": [
+ "Metodo per riempire l'area selezionata."
+ ],
+ "heading": "Metodo di riempimento"
+ },
+ "controlNetWeight": {
+ "heading": "Peso",
+ "paragraphs": [
+ "Quanto forte sarà l'impatto di ControlNet sull'immagine generata."
+ ]
+ },
+ "paramCFGScale": {
+ "heading": "Scala CFG",
+ "paragraphs": [
+ "Controlla quanto il tuo prompt influenza il processo di generazione."
+ ]
+ },
+ "controlNetControlMode": {
+ "paragraphs": [
+ "Attribuisce più peso al prompt o a ControlNet."
+ ],
+ "heading": "Modalità di controllo"
+ },
+ "paramSteps": {
+ "heading": "Passi",
+ "paragraphs": [
+ "Numero di passi che verranno eseguiti in ogni generazione.",
+ "Un numero di passi più elevato generalmente creerà immagini migliori ma richiederà più tempo di generazione."
+ ]
+ },
+ "lora": {
+ "heading": "Peso LoRA",
+ "paragraphs": [
+ "Un peso LoRA più elevato porterà a impatti maggiori sull'immagine finale."
+ ]
+ },
+ "controlNet": {
+ "paragraphs": [
+ "ControlNet fornisce una guida al processo di generazione, aiutando a creare immagini con composizione, struttura o stile controllati, a seconda del modello selezionato."
+ ],
+ "heading": "ControlNet"
+ }
+ },
+ "sdxl": {
+ "selectAModel": "Seleziona un modello",
+ "scheduler": "Campionatore",
+ "noModelsAvailable": "Nessun modello disponibile",
+ "denoisingStrength": "Forza di riduzione del rumore",
+ "concatPromptStyle": "Concatena Prompt & Stile",
+ "loading": "Caricamento...",
+ "steps": "Passi",
+ "refinerStart": "Inizio Affinamento",
+ "cfgScale": "Scala CFG",
+ "negStylePrompt": "Prompt Stile negativo",
+ "refiner": "Affinatore",
+ "negAestheticScore": "Punteggio estetico negativo",
+ "useRefiner": "Utilizza l'affinatore",
+ "refinermodel": "Modello Affinatore",
+ "posAestheticScore": "Punteggio estetico positivo",
+ "posStylePrompt": "Prompt Stile positivo"
+ },
+ "metadata": {
+ "initImage": "Immagine iniziale",
+ "seamless": "Senza giunture",
+ "positivePrompt": "Prompt positivo",
+ "negativePrompt": "Prompt negativo",
+ "generationMode": "Modalità generazione",
+ "Threshold": "Livello di soglia del rumore",
+ "metadata": "Metadati",
+ "strength": "Forza Immagine a Immagine",
+ "seed": "Seme",
+ "imageDetails": "Dettagli dell'immagine",
+ "perlin": "Rumore Perlin",
+ "model": "Modello",
+ "noImageDetails": "Nessun dettaglio dell'immagine trovato",
+ "hiresFix": "Ottimizzazione Alta Risoluzione",
+ "cfgScale": "Scala CFG",
+ "fit": "Adatta Immagine a Immagine",
+ "height": "Altezza",
+ "variations": "Coppie Peso-Seme",
+ "noMetaData": "Nessun metadato trovato",
+ "width": "Larghezza",
+ "createdBy": "Creato da",
+ "workflow": "Flusso di lavoro",
+ "steps": "Passi",
+ "scheduler": "Campionatore",
+ "recallParameters": "Richiama i parametri",
+ "noRecallParameters": "Nessun parametro da richiamare trovato"
}
}
diff --git a/invokeai/frontend/web/public/locales/ja.json b/invokeai/frontend/web/public/locales/ja.json
index 007aa9b491..a53ea50b46 100644
--- a/invokeai/frontend/web/public/locales/ja.json
+++ b/invokeai/frontend/web/public/locales/ja.json
@@ -1,12 +1,8 @@
{
"common": {
- "themeLabel": "テーマ",
"languagePickerLabel": "言語選択",
"reportBugLabel": "バグ報告",
"settingsLabel": "設定",
- "darkTheme": "ダーク",
- "lightTheme": "ライト",
- "greenTheme": "緑",
"langJapanese": "日本語",
"nodesDesc": "現在、画像生成のためのノードベースシステムを開発中です。機能についてのアップデートにご期待ください。",
"postProcessing": "後処理",
@@ -56,14 +52,12 @@
"loadingInvokeAI": "Invoke AIをロード中",
"statusConvertingModel": "モデルの変換",
"statusMergedModels": "マージ済モデル",
- "pinOptionsPanel": "オプションパネルを固定",
"githubLabel": "Github",
"hotkeysLabel": "ホットキー",
"langHebrew": "עברית",
"discordLabel": "Discord",
"langItalian": "Italiano",
"langEnglish": "English",
- "oceanTheme": "オーシャン",
"langArabic": "アラビア語",
"langDutch": "Nederlands",
"langFrench": "Français",
@@ -83,7 +77,6 @@
"gallerySettings": "ギャラリーの設定",
"maintainAspectRatio": "アスペクト比を維持",
"singleColumnLayout": "1カラムレイアウト",
- "pinGallery": "ギャラリーにピン留め",
"allImagesLoaded": "すべての画像を読み込む",
"loadMore": "さらに読み込む",
"noImagesInGallery": "ギャラリーに画像がありません",
@@ -355,7 +348,6 @@
"useSeed": "シード値を使用",
"useAll": "すべてを使用",
"info": "情報",
- "deleteImage": "画像を削除",
"showOptionsPanel": "オプションパネルを表示"
},
"settings": {
@@ -364,7 +356,6 @@
"saveSteps": "nステップごとに画像を保存",
"confirmOnDelete": "削除時に確認",
"displayHelpIcons": "ヘルプアイコンを表示",
- "useCanvasBeta": "キャンバスレイアウト(Beta)を使用する",
"enableImageDebugging": "画像のデバッグを有効化",
"resetWebUI": "WebUIをリセット",
"resetWebUIDesc1": "WebUIのリセットは、画像と保存された設定のキャッシュをリセットするだけです。画像を削除するわけではありません。",
@@ -373,7 +364,6 @@
},
"toast": {
"uploadFailed": "アップロード失敗",
- "uploadFailedMultipleImagesDesc": "一度にアップロードできる画像は1枚のみです。",
"uploadFailedUnableToLoadDesc": "ファイルを読み込むことができません。",
"downloadImageStarted": "画像ダウンロード開始",
"imageCopied": "画像をコピー",
@@ -471,7 +461,6 @@
"toggleAutoscroll": "自動スクロールの切替",
"modifyConfig": "Modify Config",
"toggleLogViewer": "Log Viewerの切替",
- "showGallery": "ギャラリーを表示",
"showOptionsPanel": "オプションパネルを表示"
}
}
diff --git a/invokeai/frontend/web/public/locales/ko.json b/invokeai/frontend/web/public/locales/ko.json
index 47cde5fec3..8baab54ac9 100644
--- a/invokeai/frontend/web/public/locales/ko.json
+++ b/invokeai/frontend/web/public/locales/ko.json
@@ -1,13 +1,9 @@
{
"common": {
- "themeLabel": "테마 설정",
"languagePickerLabel": "언어 설정",
"reportBugLabel": "버그 리포트",
"githubLabel": "Github",
"settingsLabel": "설정",
- "darkTheme": "다크 모드",
- "lightTheme": "라이트 모드",
- "greenTheme": "그린 모드",
"langArabic": "العربية",
"langEnglish": "English",
"langDutch": "Nederlands",
diff --git a/invokeai/frontend/web/public/locales/nl.json b/invokeai/frontend/web/public/locales/nl.json
index 230e3b5b64..5c08f65d21 100644
--- a/invokeai/frontend/web/public/locales/nl.json
+++ b/invokeai/frontend/web/public/locales/nl.json
@@ -1,16 +1,12 @@
{
"common": {
"hotkeysLabel": "Sneltoetsen",
- "themeLabel": "Thema",
- "languagePickerLabel": "Taalkeuze",
+ "languagePickerLabel": "Taal",
"reportBugLabel": "Meld bug",
"settingsLabel": "Instellingen",
- "darkTheme": "Donker",
- "lightTheme": "Licht",
- "greenTheme": "Groen",
"img2img": "Afbeelding naar afbeelding",
"unifiedCanvas": "Centraal canvas",
- "nodes": "Knooppunten",
+ "nodes": "Werkstroom-editor",
"langDutch": "Nederlands",
"nodesDesc": "Een op knooppunten gebaseerd systeem voor het genereren van afbeeldingen is momenteel in ontwikkeling. Blijf op de hoogte voor nieuws over deze verbluffende functie.",
"postProcessing": "Naverwerking",
@@ -65,15 +61,36 @@
"statusMergedModels": "Modellen samengevoegd",
"cancel": "Annuleer",
"accept": "Akkoord",
- "langPortuguese": "Português",
- "pinOptionsPanel": "Zet deelscherm Opties vast",
+ "langPortuguese": "Portugees",
"loading": "Bezig met laden",
"loadingInvokeAI": "Bezig met laden van Invoke AI",
- "oceanTheme": "Oceaan",
"langHebrew": "עברית",
"langKorean": "한국어",
"txt2img": "Tekst naar afbeelding",
- "postprocessing": "Nabewerking"
+ "postprocessing": "Naverwerking",
+ "dontAskMeAgain": "Vraag niet opnieuw",
+ "imagePrompt": "Afbeeldingsprompt",
+ "random": "Willekeurig",
+ "generate": "Genereer",
+ "openInNewTab": "Open in nieuw tabblad",
+ "areYouSure": "Weet je het zeker?",
+ "linear": "Lineair",
+ "batch": "Seriebeheer",
+ "modelManager": "Modelbeheer",
+ "darkMode": "Donkere modus",
+ "lightMode": "Lichte modus",
+ "communityLabel": "Gemeenschap",
+ "t2iAdapter": "T2I-adapter",
+ "on": "Aan",
+ "nodeEditor": "Knooppunteditor",
+ "ipAdapter": "IP-adapter",
+ "controlAdapter": "Control-adapter",
+ "auto": "Autom.",
+ "controlNet": "ControlNet",
+ "statusProcessing": "Bezig met verwerken",
+ "imageFailedToLoad": "Kan afbeelding niet laden",
+ "learnMore": "Meer informatie",
+ "advanced": "Uitgebreid"
},
"gallery": {
"generations": "Gegenereerde afbeeldingen",
@@ -86,10 +103,25 @@
"maintainAspectRatio": "Behoud beeldverhoiding",
"autoSwitchNewImages": "Wissel autom. naar nieuwe afbeeldingen",
"singleColumnLayout": "Eenkolomsindeling",
- "pinGallery": "Zet galerij vast",
"allImagesLoaded": "Alle afbeeldingen geladen",
"loadMore": "Laad meer",
- "noImagesInGallery": "Geen afbeeldingen in galerij"
+ "noImagesInGallery": "Geen afbeeldingen om te tonen",
+ "deleteImage": "Wis afbeelding",
+ "deleteImageBin": "Gewiste afbeeldingen worden naar de prullenbak van je besturingssysteem gestuurd.",
+ "deleteImagePermanent": "Gewiste afbeeldingen kunnen niet worden hersteld.",
+ "assets": "Eigen onderdelen",
+ "images": "Afbeeldingen",
+ "autoAssignBoardOnClick": "Ken automatisch bord toe bij klikken",
+ "featuresWillReset": "Als je deze afbeelding verwijdert, dan worden deze functies onmiddellijk teruggezet.",
+ "loading": "Bezig met laden",
+ "unableToLoad": "Kan galerij niet laden",
+ "preparingDownload": "Bezig met voorbereiden van download",
+ "preparingDownloadFailed": "Fout bij voorbereiden van download",
+ "downloadSelection": "Download selectie",
+ "currentlyInUse": "Deze afbeelding is momenteel in gebruik door de volgende functies:",
+ "copy": "Kopieer",
+ "download": "Download",
+ "setCurrentImage": "Stel in als huidige afbeelding"
},
"hotkeys": {
"keyboardShortcuts": "Sneltoetsen",
@@ -296,7 +328,12 @@
"acceptStagingImage": {
"title": "Accepteer sessie-afbeelding",
"desc": "Accepteert de huidige sessie-afbeelding"
- }
+ },
+ "addNodes": {
+ "title": "Voeg knooppunten toe",
+ "desc": "Opent het menu Voeg knooppunt toe"
+ },
+ "nodesHotkeys": "Sneltoetsen knooppunten"
},
"modelManager": {
"modelManager": "Modelonderhoud",
@@ -316,7 +353,7 @@
"config": "Configuratie",
"configValidationMsg": "Pad naar het configuratiebestand van je model.",
"modelLocation": "Locatie model",
- "modelLocationValidationMsg": "Pad naar waar je model zich bevindt.",
+ "modelLocationValidationMsg": "Geef het pad naar een lokale map waar je Diffusers-model wordt bewaard",
"vaeLocation": "Locatie VAE",
"vaeLocationValidationMsg": "Pad naar waar je VAE zich bevindt.",
"width": "Breedte",
@@ -348,12 +385,12 @@
"delete": "Verwijder",
"deleteModel": "Verwijder model",
"deleteConfig": "Verwijder configuratie",
- "deleteMsg1": "Weet je zeker dat je deze modelregel wilt verwijderen uit InvokeAI?",
- "deleteMsg2": "Hiermee wordt het checkpointbestand niet van je schijf verwijderd. Je kunt deze opnieuw toevoegen als je dat wilt.",
+ "deleteMsg1": "Weet je zeker dat je dit model wilt verwijderen uit InvokeAI?",
+ "deleteMsg2": "Hiermee ZAL het model van schijf worden verwijderd als het zich bevindt in de InvokeAI-beginmap. Als je het model vanaf een eigen locatie gebruikt, dan ZAL het model NIET van schijf worden verwijderd.",
"formMessageDiffusersVAELocationDesc": "Indien niet opgegeven, dan zal InvokeAI kijken naar het VAE-bestand in de hierboven gegeven modellocatie.",
"repoIDValidationMsg": "Online repository van je model",
"formMessageDiffusersModelLocation": "Locatie Diffusers-model",
- "convertToDiffusersHelpText3": "Je Checkpoint-bestand op schijf zal NIET worden verwijderd of gewijzigd. Je kunt je Checkpoint opnieuw toevoegen aan Modelonderhoud als je dat wilt.",
+ "convertToDiffusersHelpText3": "Je checkpoint-bestand op schijf ZAL worden verwijderd als het zich in de InvokeAI root map bevindt. Het zal NIET worden verwijderd als het zich in een andere locatie bevindt.",
"convertToDiffusersHelpText6": "Wil je dit model omzetten?",
"allModels": "Alle modellen",
"checkpointModels": "Checkpoints",
@@ -371,7 +408,7 @@
"convertToDiffusersHelpText1": "Dit model wordt omgezet naar de🧨 Diffusers-indeling.",
"convertToDiffusersHelpText2": "Dit proces vervangt het onderdeel in Modelonderhoud met de Diffusers-versie van hetzelfde model.",
"convertToDiffusersHelpText4": "Dit is een eenmalig proces. Dit neemt ongeveer 30 tot 60 sec. in beslag, afhankelijk van de specificaties van je computer.",
- "convertToDiffusersHelpText5": "Zorg ervoor dat je genoeg schijfruimte hebt. Modellen nemen gewoonlijk ongeveer 4 - 7 GB ruimte in beslag.",
+ "convertToDiffusersHelpText5": "Zorg ervoor dat je genoeg schijfruimte hebt. Modellen nemen gewoonlijk ongeveer 2 tot 7 GB ruimte in beslag.",
"convertToDiffusersSaveLocation": "Bewaarlocatie",
"v1": "v1",
"inpainting": "v1-inpainting",
@@ -408,7 +445,37 @@
"none": "geen",
"addDifference": "Voeg verschil toe",
"scanForModels": "Scan naar modellen",
- "pickModelType": "Kies modelsoort"
+ "pickModelType": "Kies modelsoort",
+ "baseModel": "Basismodel",
+ "vae": "VAE",
+ "variant": "Variant",
+ "modelConversionFailed": "Omzetten model mislukt",
+ "modelUpdateFailed": "Bijwerken model mislukt",
+ "modelsMergeFailed": "Samenvoegen model mislukt",
+ "selectModel": "Kies model",
+ "settings": "Instellingen",
+ "modelDeleted": "Model verwijderd",
+ "noCustomLocationProvided": "Geen Aangepaste Locatie Opgegeven",
+ "syncModels": "Synchroniseer Modellen",
+ "modelsSynced": "Modellen Gesynchroniseerd",
+ "modelSyncFailed": "Synchronisatie Modellen Gefaald",
+ "modelDeleteFailed": "Model kon niet verwijderd worden",
+ "convertingModelBegin": "Model aan het converteren. Even geduld.",
+ "importModels": "Importeer Modellen",
+ "syncModelsDesc": "Als je modellen niet meer synchroon zijn met de backend, kan je ze met deze optie verversen. Dit wordt typisch gebruikt in het geval je het models.yaml bestand met de hand bewerkt of als je modellen aan de InvokeAI root map toevoegt nadat de applicatie gestart werd.",
+ "loraModels": "LoRA's",
+ "onnxModels": "Onnx",
+ "oliveModels": "Olives",
+ "noModels": "Geen modellen gevonden",
+ "predictionType": "Soort voorspelling (voor Stable Diffusion 2.x-modellen en incidentele Stable Diffusion 1.x-modellen)",
+ "quickAdd": "Voeg snel toe",
+ "simpleModelDesc": "Geef een pad naar een lokaal Diffusers-model, lokale-checkpoint- / safetensors-model, een HuggingFace-repo-ID of een url naar een checkpoint- / Diffusers-model.",
+ "advanced": "Uitgebreid",
+ "useCustomConfig": "Gebruik eigen configuratie",
+ "closeAdvanced": "Sluit uitgebreid",
+ "modelType": "Soort model",
+ "customConfigFileLocation": "Locatie eigen configuratiebestand",
+ "vaePrecision": "Nauwkeurigheid VAE"
},
"parameters": {
"images": "Afbeeldingen",
@@ -416,10 +483,9 @@
"cfgScale": "CFG-schaal",
"width": "Breedte",
"height": "Hoogte",
- "sampler": "Sampler",
"seed": "Seed",
"randomizeSeed": "Willekeurige seed",
- "shuffle": "Meng",
+ "shuffle": "Mengseed",
"noiseThreshold": "Drempelwaarde ruis",
"perlinNoise": "Perlinruis",
"variations": "Variaties",
@@ -430,7 +496,7 @@
"type": "Soort",
"strength": "Sterkte",
"upscaling": "Opschalen",
- "upscale": "Schaal op",
+ "upscale": "Vergroot (Shift + U)",
"upscaleImage": "Schaal afbeelding op",
"scale": "Schaal",
"otherOptions": "Andere opties",
@@ -438,10 +504,6 @@
"hiresOptim": "Hogeresolutie-optimalisatie",
"imageFit": "Pas initiële afbeelding in uitvoergrootte",
"codeformerFidelity": "Getrouwheid",
- "seamSize": "Grootte naad",
- "seamBlur": "Vervaging naad",
- "seamStrength": "Sterkte naad",
- "seamSteps": "Stappen naad",
"scaleBeforeProcessing": "Schalen voor verwerking",
"scaledWidth": "Geschaalde B",
"scaledHeight": "Geschaalde H",
@@ -452,8 +514,6 @@
"infillScalingHeader": "Infill en schaling",
"img2imgStrength": "Sterkte Afbeelding naar afbeelding",
"toggleLoopback": "Zet recursieve verwerking aan/uit",
- "invoke": "Genereer",
- "promptPlaceholder": "Voer invoertekst hier in. [negatieve trefwoorden], (verhoogdgewicht)++, (verlaagdgewicht)--, swap (wisselen) en blend (mengen) zijn beschikbaar (zie documentatie)",
"sendTo": "Stuur naar",
"sendToImg2Img": "Stuur naar Afbeelding naar afbeelding",
"sendToUnifiedCanvas": "Stuur naar Centraal canvas",
@@ -466,9 +526,8 @@
"useAll": "Hergebruik alles",
"useInitImg": "Gebruik initiële afbeelding",
"info": "Info",
- "deleteImage": "Verwijder afbeelding",
"initialImage": "Initiële afbeelding",
- "showOptionsPanel": "Toon deelscherm Opties",
+ "showOptionsPanel": "Toon deelscherm Opties (O of T)",
"symmetry": "Symmetrie",
"hSymmetryStep": "Stap horiz. symmetrie",
"vSymmetryStep": "Stap vert. symmetrie",
@@ -476,39 +535,123 @@
"immediate": "Annuleer direct",
"isScheduled": "Annuleren",
"setType": "Stel annuleervorm in",
- "schedule": "Annuleer na huidige iteratie"
+ "schedule": "Annuleer na huidige iteratie",
+ "cancel": "Annuleer"
},
- "negativePrompts": "Negatieve invoer",
"general": "Algemeen",
"copyImage": "Kopieer afbeelding",
"imageToImage": "Afbeelding naar afbeelding",
"denoisingStrength": "Sterkte ontruisen",
- "hiresStrength": "Sterkte hogere resolutie"
+ "hiresStrength": "Sterkte hogere resolutie",
+ "scheduler": "Planner",
+ "noiseSettings": "Ruis",
+ "seamlessXAxis": "X-as",
+ "seamlessYAxis": "Y-as",
+ "hidePreview": "Verberg voorvertoning",
+ "showPreview": "Toon voorvertoning",
+ "boundingBoxWidth": "Tekenvak breedte",
+ "boundingBoxHeight": "Tekenvak hoogte",
+ "clipSkip": "Overslaan CLIP",
+ "aspectRatio": "Beeldverhouding",
+ "negativePromptPlaceholder": "Negatieve prompt",
+ "controlNetControlMode": "Aansturingsmodus",
+ "positivePromptPlaceholder": "Positieve prompt",
+ "maskAdjustmentsHeader": "Maskeraanpassingen",
+ "compositingSettingsHeader": "Instellingen afbeeldingsopbouw",
+ "coherencePassHeader": "Coherentiestap",
+ "maskBlur": "Vervaag",
+ "maskBlurMethod": "Vervagingsmethode",
+ "coherenceSteps": "Stappen",
+ "coherenceStrength": "Sterkte",
+ "seamHighThreshold": "Hoog",
+ "seamLowThreshold": "Laag",
+ "invoke": {
+ "noNodesInGraph": "Geen knooppunten in graaf",
+ "noModelSelected": "Geen model ingesteld",
+ "invoke": "Start",
+ "noPrompts": "Geen prompts gegenereerd",
+ "systemBusy": "Systeem is bezig",
+ "noInitialImageSelected": "Geen initiële afbeelding gekozen",
+ "missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} invoer ontbreekt",
+ "noControlImageForControlAdapter": "Controle-adapter #{{number}} heeft geen controle-afbeelding",
+ "noModelForControlAdapter": "Control-adapter #{{number}} heeft geen model ingesteld staan.",
+ "unableToInvoke": "Kan niet starten",
+ "incompatibleBaseModelForControlAdapter": "Model van controle-adapter #{{number}} is ongeldig in combinatie met het hoofdmodel.",
+ "systemDisconnected": "Systeem is niet verbonden",
+ "missingNodeTemplate": "Knooppuntsjabloon ontbreekt",
+ "readyToInvoke": "Klaar om te starten",
+ "missingFieldTemplate": "Veldsjabloon ontbreekt",
+ "addingImagesTo": "Bezig met toevoegen van afbeeldingen aan"
+ },
+ "seamlessX&Y": "Naadloos X en Y",
+ "isAllowedToUpscale": {
+ "useX2Model": "Afbeelding is te groot om te vergroten met het x4-model. Gebruik hiervoor het x2-model",
+ "tooLarge": "Afbeelding is te groot om te vergoten. Kies een kleinere afbeelding"
+ },
+ "aspectRatioFree": "Vrij",
+ "cpuNoise": "CPU-ruis",
+ "patchmatchDownScaleSize": "Verklein",
+ "gpuNoise": "GPU-ruis",
+ "seamlessX": "Naadloos X",
+ "useCpuNoise": "Gebruik CPU-ruis",
+ "clipSkipWithLayerCount": "Overslaan CLIP {{layerCount}}",
+ "seamlessY": "Naadloos Y",
+ "manualSeed": "Handmatige seedwaarde",
+ "imageActions": "Afbeeldingshandeling",
+ "randomSeed": "Willekeurige seedwaarde",
+ "iterations": "Iteraties",
+ "iterationsWithCount_one": "{{count}} iteratie",
+ "iterationsWithCount_other": "{{count}} iteraties",
+ "enableNoiseSettings": "Schakel ruisinstellingen in",
+ "coherenceMode": "Modus"
},
"settings": {
"models": "Modellen",
- "displayInProgress": "Toon afbeeldingen gedurende verwerking",
+ "displayInProgress": "Toon voortgangsafbeeldingen",
"saveSteps": "Bewaar afbeeldingen elke n stappen",
"confirmOnDelete": "Bevestig bij verwijderen",
"displayHelpIcons": "Toon hulppictogrammen",
- "useCanvasBeta": "Gebruik bètavormgeving van canvas",
"enableImageDebugging": "Schakel foutopsporing afbeelding in",
"resetWebUI": "Herstel web-UI",
"resetWebUIDesc1": "Herstel web-UI herstelt alleen de lokale afbeeldingscache en de onthouden instellingen van je browser. Het verwijdert geen afbeeldingen van schijf.",
"resetWebUIDesc2": "Als afbeeldingen niet getoond worden in de galerij of iets anders werkt niet, probeer dan eerst deze herstelfunctie voordat je een fout aanmeldt op GitHub.",
- "resetComplete": "Webgebruikersinterface is hersteld. Vernieuw de pasgina om opnieuw te laden.",
- "useSlidersForAll": "Gebruik schuifbalken voor alle opties"
+ "resetComplete": "Webgebruikersinterface is hersteld.",
+ "useSlidersForAll": "Gebruik schuifbalken voor alle opties",
+ "consoleLogLevel": "Logboekniveau",
+ "shouldLogToConsole": "Schrijf logboek naar console",
+ "developer": "Ontwikkelaar",
+ "general": "Algemeen",
+ "showProgressInViewer": "Toon voortgangsafbeeldingen in viewer",
+ "generation": "Generatie",
+ "ui": "Gebruikersinterface",
+ "antialiasProgressImages": "Voer anti-aliasing uit op voortgangsafbeeldingen",
+ "showAdvancedOptions": "Toon uitgebreide opties",
+ "favoriteSchedulers": "Favoriete planners",
+ "favoriteSchedulersPlaceholder": "Geen favoriete planners ingesteld",
+ "beta": "Bèta",
+ "experimental": "Experimenteel",
+ "alternateCanvasLayout": "Omwisselen Canvas Layout",
+ "enableNodesEditor": "Knopen Editor Inschakelen",
+ "autoChangeDimensions": "Werk bij wijziging afmetingen bij naar modelstandaard",
+ "clearIntermediates": "Wis tussentijdse afbeeldingen",
+ "clearIntermediatesDesc3": "Je galerijafbeeldingen zullen niet worden verwijderd.",
+ "clearIntermediatesWithCount_one": "Wis {{count}} tussentijdse afbeelding",
+ "clearIntermediatesWithCount_other": "Wis {{count}} tussentijdse afbeeldingen",
+ "clearIntermediatesDesc2": "Tussentijdse afbeeldingen zijn nevenproducten bij een generatie, die afwijken van de uitvoerafbeeldingen in de galerij. Het wissen van tussentijdse afbeeldingen zal schijfruimte vrijmaken.",
+ "intermediatesCleared_one": "{{count}} tussentijdse afbeelding gewist",
+ "intermediatesCleared_other": "{{count}} tussentijdse afbeeldingen gewist",
+ "clearIntermediatesDesc1": "Het wissen van tussentijdse onderdelen zet de staat van je canvas en ControlNet terug.",
+ "intermediatesClearedFailed": "Fout bij wissen van tussentijdse afbeeldingen"
},
"toast": {
"tempFoldersEmptied": "Tijdelijke map geleegd",
"uploadFailed": "Upload mislukt",
- "uploadFailedMultipleImagesDesc": "Meerdere afbeeldingen geplakt, slechts een afbeelding per keer toegestaan",
"uploadFailedUnableToLoadDesc": "Kan bestand niet laden",
"downloadImageStarted": "Afbeeldingsdownload gestart",
"imageCopied": "Afbeelding gekopieerd",
"imageLinkCopied": "Afbeeldingskoppeling gekopieerd",
"imageNotLoaded": "Geen afbeelding geladen",
- "imageNotLoadedDesc": "Geen afbeelding gevonden om te sturen naar de module Afbeelding naar afbeelding",
+ "imageNotLoadedDesc": "Geen afbeeldingen gevonden",
"imageSavedToGallery": "Afbeelding opgeslagen naar galerij",
"canvasMerged": "Canvas samengevoegd",
"sentToImageToImage": "Gestuurd naar Afbeelding naar afbeelding",
@@ -529,7 +672,60 @@
"metadataLoadFailed": "Fout bij laden metagegevens",
"initialImageSet": "Initiële afbeelding ingesteld",
"initialImageNotSet": "Initiële afbeelding niet ingesteld",
- "initialImageNotSetDesc": "Kan initiële afbeelding niet laden"
+ "initialImageNotSetDesc": "Kan initiële afbeelding niet laden",
+ "serverError": "Serverfout",
+ "disconnected": "Verbinding met server verbroken",
+ "connected": "Verbonden met server",
+ "canceled": "Verwerking geannuleerd",
+ "uploadFailedInvalidUploadDesc": "Moet een enkele PNG- of JPEG-afbeelding zijn",
+ "problemCopyingImageLink": "Kan afbeeldingslink niet kopiëren",
+ "parameterNotSet": "Parameter niet ingesteld",
+ "parameterSet": "Instellen parameters",
+ "nodesSaved": "Knooppunten bewaard",
+ "nodesLoaded": "Knooppunten geladen",
+ "nodesCleared": "Knooppunten weggehaald",
+ "nodesLoadedFailed": "Laden knooppunten mislukt",
+ "problemCopyingImage": "Kan Afbeelding Niet Kopiëren",
+ "nodesNotValidJSON": "Ongeldige JSON",
+ "nodesCorruptedGraph": "Kan niet laden. Graph lijkt corrupt.",
+ "nodesUnrecognizedTypes": "Laden mislukt. Graph heeft onherkenbare types",
+ "nodesBrokenConnections": "Laden mislukt. Sommige verbindingen zijn verbroken.",
+ "nodesNotValidGraph": "Geen geldige knooppunten graph",
+ "baseModelChangedCleared_one": "Basismodel is gewijzigd: {{count}} niet-compatibel submodel weggehaald of uitgeschakeld",
+ "baseModelChangedCleared_other": "Basismodel is gewijzigd: {{count}} niet-compatibele submodellen weggehaald of uitgeschakeld",
+ "imageSavingFailed": "Fout bij bewaren afbeelding",
+ "canvasSentControlnetAssets": "Canvas gestuurd naar ControlNet en Assets",
+ "problemCopyingCanvasDesc": "Kan basislaag niet exporteren",
+ "loadedWithWarnings": "Werkstroom geladen met waarschuwingen",
+ "setInitialImage": "Ingesteld als initiële afbeelding",
+ "canvasCopiedClipboard": "Canvas gekopieerd naar klembord",
+ "setControlImage": "Ingesteld als controle-afbeelding",
+ "setNodeField": "Ingesteld als knooppuntveld",
+ "problemSavingMask": "Fout bij bewaren masker",
+ "problemSavingCanvasDesc": "Kan basislaag niet exporteren",
+ "maskSavedAssets": "Masker bewaard in Assets",
+ "modelAddFailed": "Fout bij toevoegen model",
+ "problemDownloadingCanvas": "Fout bij downloaden van canvas",
+ "problemMergingCanvas": "Fout bij samenvoegen canvas",
+ "setCanvasInitialImage": "Ingesteld als initiële canvasafbeelding",
+ "imageUploaded": "Afbeelding geüpload",
+ "addedToBoard": "Toegevoegd aan bord",
+ "workflowLoaded": "Werkstroom geladen",
+ "modelAddedSimple": "Model toegevoegd",
+ "problemImportingMaskDesc": "Kan masker niet exporteren",
+ "problemCopyingCanvas": "Fout bij kopiëren canvas",
+ "problemSavingCanvas": "Fout bij bewaren canvas",
+ "canvasDownloaded": "Canvas gedownload",
+ "setIPAdapterImage": "Ingesteld als IP-adapterafbeelding",
+ "problemMergingCanvasDesc": "Kan basislaag niet exporteren",
+ "problemDownloadingCanvasDesc": "Kan basislaag niet exporteren",
+ "problemSavingMaskDesc": "Kan masker niet exporteren",
+ "imageSaved": "Afbeelding bewaard",
+ "maskSentControlnetAssets": "Masker gestuurd naar ControlNet en Assets",
+ "canvasSavedGallery": "Canvas bewaard in galerij",
+ "imageUploadFailed": "Fout bij uploaden afbeelding",
+ "modelAdded": "Model toegevoegd: {{modelName}}",
+ "problemImportingMask": "Fout bij importeren masker"
},
"tooltip": {
"feature": {
@@ -603,7 +799,10 @@
"betaClear": "Wis",
"betaDarkenOutside": "Verduister buiten tekenvak",
"betaLimitToBox": "Beperk tot tekenvak",
- "betaPreserveMasked": "Behoud masker"
+ "betaPreserveMasked": "Behoud masker",
+ "antialiasing": "Anti-aliasing",
+ "showResultsOn": "Toon resultaten (aan)",
+ "showResultsOff": "Toon resultaten (uit)"
},
"accessibility": {
"exitViewer": "Stop viewer",
@@ -624,7 +823,687 @@
"modifyConfig": "Wijzig configuratie",
"toggleAutoscroll": "Autom. scrollen aan/uit",
"toggleLogViewer": "Logboekviewer aan/uit",
- "showGallery": "Toon galerij",
- "showOptionsPanel": "Toon deelscherm Opties"
+ "showOptionsPanel": "Toon zijscherm",
+ "menu": "Menu",
+ "showGalleryPanel": "Toon deelscherm Galerij",
+ "loadMore": "Laad meer"
+ },
+ "ui": {
+ "showProgressImages": "Toon voortgangsafbeeldingen",
+ "hideProgressImages": "Verberg voortgangsafbeeldingen",
+ "swapSizes": "Wissel afmetingen om",
+ "lockRatio": "Zet verhouding vast"
+ },
+ "nodes": {
+ "zoomOutNodes": "Uitzoomen",
+ "fitViewportNodes": "Aanpassen aan beeld",
+ "hideMinimapnodes": "Minimap verbergen",
+ "showLegendNodes": "Typelegende veld tonen",
+ "zoomInNodes": "Inzoomen",
+ "hideGraphNodes": "Graph overlay verbergen",
+ "showGraphNodes": "Graph overlay tonen",
+ "showMinimapnodes": "Minimap tonen",
+ "hideLegendNodes": "Typelegende veld verbergen",
+ "reloadNodeTemplates": "Herlaad knooppuntsjablonen",
+ "loadWorkflow": "Laad werkstroom",
+ "resetWorkflow": "Herstel werkstroom",
+ "resetWorkflowDesc": "Weet je zeker dat je deze werkstroom wilt herstellen?",
+ "resetWorkflowDesc2": "Herstel van een werkstroom haalt alle knooppunten, randen en werkstroomdetails weg.",
+ "downloadWorkflow": "Download JSON van werkstroom",
+ "booleanPolymorphicDescription": "Een verzameling Booleanse waarden.",
+ "scheduler": "Planner",
+ "inputField": "Invoerveld",
+ "controlFieldDescription": "Controlegegevens doorgegeven tussen knooppunten.",
+ "skippingUnknownOutputType": "Overslaan van onbekend soort uitvoerveld",
+ "latentsFieldDescription": "Latents kunnen worden doorgegeven tussen knooppunten.",
+ "denoiseMaskFieldDescription": "Ontruisingsmasker kan worden doorgegeven tussen knooppunten",
+ "floatCollectionDescription": "Een verzameling zwevende-kommagetallen.",
+ "missingTemplate": "Ontbrekende sjabloon",
+ "outputSchemaNotFound": "Uitvoerschema niet gevonden",
+ "ipAdapterPolymorphicDescription": "Een verzameling IP-adapters.",
+ "workflowDescription": "Korte beschrijving",
+ "latentsPolymorphicDescription": "Latents kunnen worden doorgegeven tussen knooppunten.",
+ "colorFieldDescription": "Een RGBA-kleur.",
+ "mainModelField": "Model",
+ "unhandledInputProperty": "Onverwerkt invoerkenmerk",
+ "versionUnknown": " Versie onbekend",
+ "ipAdapterCollection": "Verzameling IP-adapters",
+ "conditioningCollection": "Verzameling conditionering",
+ "maybeIncompatible": "Is mogelijk niet compatibel met geïnstalleerde knooppunten",
+ "ipAdapterPolymorphic": "Polymorfisme IP-adapter",
+ "noNodeSelected": "Geen knooppunt gekozen",
+ "addNode": "Voeg knooppunt toe",
+ "unableToValidateWorkflow": "Kan werkstroom niet valideren",
+ "enum": "Enumeratie",
+ "integerPolymorphicDescription": "Een verzameling gehele getallen.",
+ "noOutputRecorded": "Geen uitvoer opgenomen",
+ "updateApp": "Werk app bij",
+ "conditioningCollectionDescription": "Conditionering kan worden doorgegeven tussen knooppunten.",
+ "colorPolymorphic": "Polymorfisme kleur",
+ "colorCodeEdgesHelp": "Kleurgecodeerde randen op basis van hun verbonden velden",
+ "collectionDescription": "Beschrijving",
+ "float": "Zwevende-kommagetal",
+ "workflowContact": "Contactpersoon",
+ "skippingReservedFieldType": "Overslaan van gereserveerd veldsoort",
+ "animatedEdges": "Geanimeerde randen",
+ "booleanCollectionDescription": "Een verzameling van Booleanse waarden.",
+ "sDXLMainModelFieldDescription": "SDXL-modelveld.",
+ "conditioningPolymorphic": "Polymorfisme conditionering",
+ "integer": "Geheel getal",
+ "colorField": "Kleur",
+ "boardField": "Bord",
+ "nodeTemplate": "Sjabloon knooppunt",
+ "latentsCollection": "Verzameling latents",
+ "problemReadingWorkflow": "Fout bij lezen van werkstroom uit afbeelding",
+ "sourceNode": "Bronknooppunt",
+ "nodeOpacity": "Dekking knooppunt",
+ "pickOne": "Kies er een",
+ "collectionItemDescription": "Beschrijving",
+ "integerDescription": "Gehele getallen zijn getallen zonder een decimaalteken.",
+ "outputField": "Uitvoerveld",
+ "unableToLoadWorkflow": "Kan werkstroom niet valideren",
+ "snapToGrid": "Lijn uit op raster",
+ "stringPolymorphic": "Polymorfisme tekenreeks",
+ "conditioningPolymorphicDescription": "Conditionering kan worden doorgegeven tussen knooppunten.",
+ "noFieldsLinearview": "Geen velden toegevoegd aan lineaire weergave",
+ "skipped": "Overgeslagen",
+ "imagePolymorphic": "Polymorfisme afbeelding",
+ "nodeSearch": "Zoek naar knooppunten",
+ "updateNode": "Werk knooppunt bij",
+ "sDXLRefinerModelFieldDescription": "Beschrijving",
+ "imagePolymorphicDescription": "Een verzameling afbeeldingen.",
+ "floatPolymorphic": "Polymorfisme zwevende-kommagetal",
+ "version": "Versie",
+ "doesNotExist": "bestaat niet",
+ "ipAdapterCollectionDescription": "Een verzameling van IP-adapters.",
+ "stringCollectionDescription": "Een verzameling tekenreeksen.",
+ "unableToParseNode": "Kan knooppunt niet inlezen",
+ "controlCollection": "Controle-verzameling",
+ "validateConnections": "Valideer verbindingen en graaf",
+ "stringCollection": "Verzameling tekenreeksen",
+ "inputMayOnlyHaveOneConnection": "Invoer mag slechts een enkele verbinding hebben",
+ "notes": "Opmerkingen",
+ "uNetField": "UNet",
+ "nodeOutputs": "Uitvoer knooppunt",
+ "currentImageDescription": "Toont de huidige afbeelding in de knooppunteditor",
+ "validateConnectionsHelp": "Voorkom dat er ongeldige verbindingen worden gelegd en dat er ongeldige grafen worden aangeroepen",
+ "problemSettingTitle": "Fout bij instellen titel",
+ "ipAdapter": "IP-adapter",
+ "integerCollection": "Verzameling gehele getallen",
+ "collectionItem": "Verzamelingsonderdeel",
+ "noConnectionInProgress": "Geen verbinding bezig te maken",
+ "vaeModelField": "VAE",
+ "controlCollectionDescription": "Controlegegevens doorgegeven tussen knooppunten.",
+ "skippedReservedInput": "Overgeslagen gereserveerd invoerveld",
+ "workflowVersion": "Versie",
+ "noConnectionData": "Geen verbindingsgegevens",
+ "outputFields": "Uitvoervelden",
+ "fieldTypesMustMatch": "Veldsoorten moeten overeenkomen",
+ "workflow": "Werkstroom",
+ "edge": "Rand",
+ "inputNode": "Invoerknooppunt",
+ "enumDescription": "Enumeraties zijn waarden die uit een aantal opties moeten worden gekozen.",
+ "unkownInvocation": "Onbekende aanroepsoort",
+ "loRAModelFieldDescription": "Beschrijving",
+ "imageField": "Afbeelding",
+ "skippedReservedOutput": "Overgeslagen gereserveerd uitvoerveld",
+ "animatedEdgesHelp": "Animeer gekozen randen en randen verbonden met de gekozen knooppunten",
+ "cannotDuplicateConnection": "Kan geen dubbele verbindingen maken",
+ "booleanPolymorphic": "Polymorfisme Booleaanse waarden",
+ "unknownTemplate": "Onbekend sjabloon",
+ "noWorkflow": "Geen werkstroom",
+ "removeLinearView": "Verwijder uit lineaire weergave",
+ "colorCollectionDescription": "Beschrijving",
+ "integerCollectionDescription": "Een verzameling gehele getallen.",
+ "colorPolymorphicDescription": "Een verzameling kleuren.",
+ "sDXLMainModelField": "SDXL-model",
+ "workflowTags": "Labels",
+ "denoiseMaskField": "Ontruisingsmasker",
+ "schedulerDescription": "Beschrijving",
+ "missingCanvaInitImage": "Ontbrekende initialisatie-afbeelding voor canvas",
+ "conditioningFieldDescription": "Conditionering kan worden doorgegeven tussen knooppunten.",
+ "clipFieldDescription": "Submodellen voor tokenizer en text_encoder.",
+ "fullyContainNodesHelp": "Knooppunten moeten zich volledig binnen het keuzevak bevinden om te worden gekozen",
+ "noImageFoundState": "Geen initiële afbeelding gevonden in de staat",
+ "workflowValidation": "Validatiefout werkstroom",
+ "clipField": "Clip",
+ "stringDescription": "Tekenreeksen zijn tekst.",
+ "nodeType": "Soort knooppunt",
+ "noMatchingNodes": "Geen overeenkomende knooppunten",
+ "fullyContainNodes": "Omvat knooppunten volledig om ze te kiezen",
+ "integerPolymorphic": "Polymorfisme geheel getal",
+ "executionStateInProgress": "Bezig",
+ "noFieldType": "Geen soort veld",
+ "colorCollection": "Een verzameling kleuren.",
+ "executionStateError": "Fout",
+ "noOutputSchemaName": "Geen naam voor uitvoerschema gevonden in referentieobject",
+ "ipAdapterModel": "Model IP-adapter",
+ "latentsPolymorphic": "Polymorfisme latents",
+ "vaeModelFieldDescription": "Beschrijving",
+ "skippingInputNoTemplate": "Overslaan van invoerveld zonder sjabloon",
+ "ipAdapterDescription": "Een Afbeeldingsprompt-adapter (IP-adapter).",
+ "boolean": "Booleaanse waarden",
+ "missingCanvaInitMaskImages": "Ontbrekende initialisatie- en maskerafbeeldingen voor canvas",
+ "problemReadingMetadata": "Fout bij lezen van metagegevens uit afbeelding",
+ "stringPolymorphicDescription": "Een verzameling tekenreeksen.",
+ "oNNXModelField": "ONNX-model",
+ "executionStateCompleted": "Voltooid",
+ "node": "Knooppunt",
+ "skippingUnknownInputType": "Overslaan van onbekend soort invoerveld",
+ "workflowAuthor": "Auteur",
+ "currentImage": "Huidige afbeelding",
+ "controlField": "Controle",
+ "workflowName": "Naam",
+ "booleanDescription": "Booleanse waarden zijn waar en onwaar.",
+ "collection": "Verzameling",
+ "ipAdapterModelDescription": "Modelveld IP-adapter",
+ "cannotConnectInputToInput": "Kan invoer niet aan invoer verbinden",
+ "invalidOutputSchema": "Ongeldig uitvoerschema",
+ "boardFieldDescription": "Een galerijbord",
+ "floatDescription": "Zwevende-kommagetallen zijn getallen met een decimaalteken.",
+ "floatPolymorphicDescription": "Een verzameling zwevende-kommagetallen.",
+ "vaeField": "Vae",
+ "conditioningField": "Conditionering",
+ "unhandledOutputProperty": "Onverwerkt uitvoerkenmerk",
+ "workflowNotes": "Opmerkingen",
+ "string": "Tekenreeks",
+ "floatCollection": "Verzameling zwevende-kommagetallen",
+ "latentsField": "Latents",
+ "cannotConnectOutputToOutput": "Kan uitvoer niet aan uitvoer verbinden",
+ "booleanCollection": "Verzameling Booleaanse waarden",
+ "connectionWouldCreateCycle": "Verbinding zou cyclisch worden",
+ "cannotConnectToSelf": "Kan niet aan zichzelf verbinden",
+ "notesDescription": "Voeg opmerkingen toe aan je werkstroom",
+ "unknownField": "Onbekend veld",
+ "inputFields": "Invoervelden",
+ "colorCodeEdges": "Kleurgecodeerde randen",
+ "uNetFieldDescription": "UNet-submodel.",
+ "unknownNode": "Onbekend knooppunt",
+ "imageCollectionDescription": "Een verzameling afbeeldingen.",
+ "mismatchedVersion": "Heeft niet-overeenkomende versie",
+ "vaeFieldDescription": "Vae-submodel.",
+ "imageFieldDescription": "Afbeeldingen kunnen worden doorgegeven tussen knooppunten.",
+ "outputNode": "Uitvoerknooppunt",
+ "addNodeToolTip": "Voeg knooppunt toe (Shift+A, spatie)",
+ "loadingNodes": "Bezig met laden van knooppunten...",
+ "snapToGridHelp": "Lijn knooppunten uit op raster bij verplaatsing",
+ "workflowSettings": "Instellingen werkstroomeditor",
+ "mainModelFieldDescription": "Beschrijving",
+ "sDXLRefinerModelField": "Verfijningsmodel",
+ "loRAModelField": "LoRA",
+ "unableToParseEdge": "Kan rand niet inlezen",
+ "latentsCollectionDescription": "Latents kunnen worden doorgegeven tussen knooppunten.",
+ "oNNXModelFieldDescription": "ONNX-modelveld.",
+ "imageCollection": "Afbeeldingsverzameling"
+ },
+ "controlnet": {
+ "amult": "a_mult",
+ "resize": "Schaal",
+ "showAdvanced": "Toon uitgebreid",
+ "contentShuffleDescription": "Verschuift het materiaal in de afbeelding",
+ "bgth": "bg_th",
+ "addT2IAdapter": "Voeg $t(common.t2iAdapter) toe",
+ "pidi": "PIDI",
+ "importImageFromCanvas": "Importeer afbeelding uit canvas",
+ "lineartDescription": "Zet afbeelding om naar lineart",
+ "normalBae": "Normale BAE",
+ "importMaskFromCanvas": "Importeer masker uit canvas",
+ "hed": "HED",
+ "hideAdvanced": "Verberg uitgebreid",
+ "contentShuffle": "Verschuif materiaal",
+ "controlNetEnabledT2IDisabled": "$t(common.controlNet) ingeschakeld, $t(common.t2iAdapter)s uitgeschakeld",
+ "ipAdapterModel": "Adaptermodel",
+ "resetControlImage": "Zet controle-afbeelding terug",
+ "beginEndStepPercent": "Percentage begin-/eindstap",
+ "mlsdDescription": "Minimalistische herkenning lijnsegmenten",
+ "duplicate": "Maak kopie",
+ "balanced": "Gebalanceerd",
+ "f": "F",
+ "h": "H",
+ "prompt": "Prompt",
+ "depthMidasDescription": "Generatie van diepteblad via Midas",
+ "controlnet": "$t(controlnet.controlAdapter) #{{number}} ($t(common.controlNet))",
+ "openPoseDescription": "Menselijke pose-benadering via Openpose",
+ "control": "Controle",
+ "resizeMode": "Modus schaling",
+ "t2iEnabledControlNetDisabled": "$t(common.t2iAdapter) ingeschakeld, $t(common.controlNet)s uitgeschakeld",
+ "coarse": "Grof",
+ "weight": "Gewicht",
+ "selectModel": "Kies een model",
+ "crop": "Snij bij",
+ "depthMidas": "Diepte (Midas)",
+ "w": "B",
+ "processor": "Verwerker",
+ "addControlNet": "Voeg $t(common.controlNet) toe",
+ "none": "Geen",
+ "incompatibleBaseModel": "Niet-compatibel basismodel:",
+ "enableControlnet": "Schakel ControlNet in",
+ "detectResolution": "Herken resolutie",
+ "controlNetT2IMutexDesc": "Gelijktijdig gebruik van $t(common.controlNet) en $t(common.t2iAdapter) wordt op dit moment niet ondersteund.",
+ "ip_adapter": "$t(controlnet.controlAdapter) #{{number}} ($t(common.ipAdapter))",
+ "pidiDescription": "PIDI-afbeeldingsverwerking",
+ "mediapipeFace": "Mediapipe - Gezicht",
+ "mlsd": "M-LSD",
+ "controlMode": "Controlemodus",
+ "fill": "Vul",
+ "cannyDescription": "Herkenning Canny-rand",
+ "addIPAdapter": "Voeg $t(common.ipAdapter) toe",
+ "lineart": "Lineart",
+ "colorMapDescription": "Genereert een kleurenblad van de afbeelding",
+ "lineartAnimeDescription": "Lineartverwerking in anime-stijl",
+ "t2i_adapter": "$t(controlnet.controlAdapter) #{{number}} ($t(common.t2iAdapter))",
+ "minConfidence": "Min. vertrouwensniveau",
+ "imageResolution": "Resolutie afbeelding",
+ "megaControl": "Zeer veel controle",
+ "depthZoe": "Diepte (Zoe)",
+ "colorMap": "Kleur",
+ "lowThreshold": "Lage drempelwaarde",
+ "autoConfigure": "Configureer verwerker automatisch",
+ "highThreshold": "Hoge drempelwaarde",
+ "normalBaeDescription": "Normale BAE-verwerking",
+ "noneDescription": "Geen verwerking toegepast",
+ "saveControlImage": "Bewaar controle-afbeelding",
+ "openPose": "Openpose",
+ "toggleControlNet": "Zet deze ControlNet aan/uit",
+ "delete": "Verwijder",
+ "controlAdapter_one": "Control-adapter",
+ "controlAdapter_other": "Control-adapters",
+ "safe": "Veilig",
+ "colorMapTileSize": "Grootte tegel",
+ "lineartAnime": "Lineart-anime",
+ "ipAdapterImageFallback": "Geen IP-adapterafbeelding gekozen",
+ "mediapipeFaceDescription": "Gezichtsherkenning met Mediapipe",
+ "canny": "Canny",
+ "depthZoeDescription": "Generatie van diepteblad via Zoe",
+ "hedDescription": "Herkenning van holistisch-geneste randen",
+ "setControlImageDimensions": "Stel afmetingen controle-afbeelding in op B/H",
+ "scribble": "Krabbel",
+ "resetIPAdapterImage": "Zet IP-adapterafbeelding terug",
+ "handAndFace": "Hand en gezicht",
+ "enableIPAdapter": "Schakel IP-adapter in",
+ "maxFaces": "Max. gezichten"
+ },
+ "dynamicPrompts": {
+ "seedBehaviour": {
+ "perPromptDesc": "Gebruik een verschillende seedwaarde per afbeelding",
+ "perIterationLabel": "Seedwaarde per iteratie",
+ "perIterationDesc": "Gebruik een verschillende seedwaarde per iteratie",
+ "perPromptLabel": "Seedwaarde per afbeelding",
+ "label": "Gedrag seedwaarde"
+ },
+ "enableDynamicPrompts": "Schakel dynamische prompts in",
+ "combinatorial": "Combinatorische generatie",
+ "maxPrompts": "Max. prompts",
+ "promptsWithCount_one": "{{count}} prompt",
+ "promptsWithCount_other": "{{count}} prompts",
+ "dynamicPrompts": "Dynamische prompts"
+ },
+ "popovers": {
+ "noiseUseCPU": {
+ "paragraphs": [
+ "Bestuurt of ruis wordt gegenereerd op de CPU of de GPU.",
+ "Met CPU-ruis ingeschakeld zal een bepaalde seedwaarde dezelfde afbeelding opleveren op welke machine dan ook.",
+ "Er is geen prestatieverschil bij het inschakelen van CPU-ruis."
+ ],
+ "heading": "Gebruik CPU-ruis"
+ },
+ "paramScheduler": {
+ "paragraphs": [
+ "De planner bepaalt hoe per keer ruis wordt toegevoegd aan een afbeelding of hoe een monster wordt bijgewerkt op basis van de uitvoer van een model."
+ ],
+ "heading": "Planner"
+ },
+ "scaleBeforeProcessing": {
+ "paragraphs": [
+ "Schaalt het gekozen gebied naar de grootte die het meest geschikt is voor het model, vooraf aan het proces van het afbeeldingen genereren."
+ ],
+ "heading": "Schaal vooraf aan verwerking"
+ },
+ "compositingMaskAdjustments": {
+ "heading": "Aanpassingen masker",
+ "paragraphs": [
+ "Pas het masker aan."
+ ]
+ },
+ "paramRatio": {
+ "heading": "Beeldverhouding",
+ "paragraphs": [
+ "De beeldverhouding van de afmetingen van de afbeelding die wordt gegenereerd.",
+ "Een afbeeldingsgrootte (in aantal pixels) equivalent aan 512x512 wordt aanbevolen voor SD1.5-modellen. Een grootte-equivalent van 1024x1024 wordt aanbevolen voor SDXL-modellen."
+ ]
+ },
+ "compositingCoherenceSteps": {
+ "heading": "Stappen",
+ "paragraphs": [
+ "Het aantal te gebruiken ontruisingsstappen in de coherentiefase.",
+ "Gelijk aan de hoofdparameter Stappen."
+ ]
+ },
+ "dynamicPrompts": {
+ "paragraphs": [
+ "Dynamische prompts vormt een enkele prompt om in vele.",
+ "De basissyntax is \"a {red|green|blue} ball\". Dit zal de volgende drie prompts geven: \"a red ball\", \"a green ball\" en \"a blue ball\".",
+ "Gebruik de syntax zo vaak als je wilt in een enkele prompt, maar zorg ervoor dat het aantal gegenereerde prompts in lijn ligt met de instelling Max. prompts."
+ ],
+ "heading": "Dynamische prompts"
+ },
+ "paramVAE": {
+ "paragraphs": [
+ "Het model gebruikt voor het vertalen van AI-uitvoer naar de uiteindelijke afbeelding."
+ ],
+ "heading": "VAE"
+ },
+ "compositingBlur": {
+ "heading": "Vervaging",
+ "paragraphs": [
+ "De vervagingsstraal van het masker."
+ ]
+ },
+ "paramIterations": {
+ "paragraphs": [
+ "Het aantal te genereren afbeeldingen.",
+ "Als dynamische prompts is ingeschakeld, dan zal elke prompt dit aantal keer gegenereerd worden."
+ ],
+ "heading": "Iteraties"
+ },
+ "paramVAEPrecision": {
+ "heading": "Nauwkeurigheid VAE",
+ "paragraphs": [
+ "De nauwkeurigheid gebruikt tijdens de VAE-codering en -decodering. FP16/halve nauwkeurig is efficiënter, ten koste van kleine afbeeldingsvariaties."
+ ]
+ },
+ "compositingCoherenceMode": {
+ "heading": "Modus",
+ "paragraphs": [
+ "De modus van de coherentiefase."
+ ]
+ },
+ "paramSeed": {
+ "paragraphs": [
+ "Bestuurt de startruis die gebruikt wordt bij het genereren.",
+ "Schakel \"Willekeurige seedwaarde\" uit om identieke resultaten te krijgen met dezelfde generatie-instellingen."
+ ],
+ "heading": "Seedwaarde"
+ },
+ "controlNetResizeMode": {
+ "heading": "Schaalmodus",
+ "paragraphs": [
+ "Hoe de ControlNet-afbeelding zal worden geschaald aan de uitvoergrootte van de afbeelding."
+ ]
+ },
+ "controlNetBeginEnd": {
+ "paragraphs": [
+ "Op welke stappen van het ontruisingsproces ControlNet worden toegepast.",
+ "ControlNets die worden toegepast aan het begin begeleiden het compositieproces. ControlNets die worden toegepast aan het eind zorgen voor details."
+ ],
+ "heading": "Percentage begin- / eindstap"
+ },
+ "dynamicPromptsSeedBehaviour": {
+ "paragraphs": [
+ "Bestuurt hoe de seedwaarde wordt gebruikt bij het genereren van prompts.",
+ "Per iteratie zal een unieke seedwaarde worden gebruikt voor elke iteratie. Gebruik dit om de promptvariaties binnen een enkele seedwaarde te verkennen.",
+ "Bijvoorbeeld: als je vijf prompts heb, dan zal voor elke afbeelding dezelfde seedwaarde gebruikt worden.",
+ "De optie Per afbeelding zal een unieke seedwaarde voor elke afbeelding gebruiken. Dit biedt meer variatie."
+ ],
+ "heading": "Gedrag seedwaarde"
+ },
+ "clipSkip": {
+ "paragraphs": [
+ "Kies hoeveel CLIP-modellagen je wilt overslaan.",
+ "Bepaalde modellen werken beter met bepaalde Overslaan CLIP-instellingen.",
+ "Een hogere waarde geeft meestal een minder gedetailleerde afbeelding."
+ ],
+ "heading": "Overslaan CLIP"
+ },
+ "paramModel": {
+ "heading": "Model",
+ "paragraphs": [
+ "Model gebruikt voor de ontruisingsstappen.",
+ "Verschillende modellen zijn meestal getraind zich te specialiseren in het maken van bepaalde esthetische resultaten en materiaal."
+ ]
+ },
+ "compositingCoherencePass": {
+ "heading": "Coherentiefase",
+ "paragraphs": [
+ "Een tweede ronde ontruising helpt bij het samenstellen van de erin- of eruitgetekende afbeelding."
+ ]
+ },
+ "paramDenoisingStrength": {
+ "paragraphs": [
+ "Hoeveel ruis wordt toegevoegd aan de invoerafbeelding.",
+ "0 geeft een identieke afbeelding, waarbij 1 een volledig nieuwe afbeelding geeft."
+ ],
+ "heading": "Ontruisingssterkte"
+ },
+ "compositingStrength": {
+ "heading": "Sterkte",
+ "paragraphs": [
+ "Ontruisingssterkte voor de coherentiefase.",
+ "Gelijk aan de parameter Ontruisingssterkte Afbeelding naar afbeelding."
+ ]
+ },
+ "paramNegativeConditioning": {
+ "paragraphs": [
+ "Het generatieproces voorkomt de gegeven begrippen in de negatieve prompt. Gebruik dit om bepaalde zaken of voorwerpen uit te sluiten van de uitvoerafbeelding.",
+ "Ondersteunt Compel-syntax en -embeddingen."
+ ],
+ "heading": "Negatieve prompt"
+ },
+ "compositingBlurMethod": {
+ "heading": "Vervagingsmethode",
+ "paragraphs": [
+ "De methode van de vervaging die wordt toegepast op het gemaskeerd gebied."
+ ]
+ },
+ "dynamicPromptsMaxPrompts": {
+ "heading": "Max. prompts",
+ "paragraphs": [
+ "Beperkt het aantal prompts die kunnen worden gegenereerd door dynamische prompts."
+ ]
+ },
+ "infillMethod": {
+ "paragraphs": [
+ "Methode om een gekozen gebied in te vullen."
+ ],
+ "heading": "Invulmethode"
+ },
+ "controlNetWeight": {
+ "heading": "Gewicht",
+ "paragraphs": [
+ "Hoe sterk ControlNet effect heeft op de gegeneerde afbeelding."
+ ]
+ },
+ "controlNet": {
+ "heading": "ControlNet",
+ "paragraphs": [
+ "ControlNets biedt begeleiding aan het generatieproces, waarbij hulp wordt geboden bij het maken van afbeelding met aangestuurde compositie, structuur of stijl, afhankelijk van het gekozen model."
+ ]
+ },
+ "paramCFGScale": {
+ "heading": "CFG-schaal",
+ "paragraphs": [
+ "Bestuurt hoeveel je prompt invloed heeft op het generatieproces."
+ ]
+ },
+ "controlNetControlMode": {
+ "paragraphs": [
+ "Geeft meer gewicht aan ofwel de prompt danwel ControlNet."
+ ],
+ "heading": "Controlemodus"
+ },
+ "paramSteps": {
+ "heading": "Stappen",
+ "paragraphs": [
+ "Het aantal uit te voeren stappen tijdens elke generatie.",
+ "Hogere stappenaantallen geven meestal betere afbeeldingen ten koste van een grotere benodigde generatietijd."
+ ]
+ },
+ "paramPositiveConditioning": {
+ "heading": "Positieve prompt",
+ "paragraphs": [
+ "Begeleidt het generartieproces. Gebruik een woord of frase naar keuze.",
+ "Syntaxes en embeddings voor Compel en dynamische prompts."
+ ]
+ },
+ "lora": {
+ "heading": "Gewicht LoRA",
+ "paragraphs": [
+ "Een hogere LoRA-gewicht zal leiden tot een groter effect op de uiteindelijke afbeelding."
+ ]
+ }
+ },
+ "metadata": {
+ "seamless": "Naadloos",
+ "positivePrompt": "Positieve prompt",
+ "negativePrompt": "Negatieve prompt",
+ "generationMode": "Generatiemodus",
+ "Threshold": "Drempelwaarde ruis",
+ "metadata": "Metagegevens",
+ "strength": "Sterkte Afbeelding naar afbeelding",
+ "seed": "Seedwaarde",
+ "imageDetails": "Afbeeldingsdetails",
+ "perlin": "Perlin-ruis",
+ "model": "Model",
+ "noImageDetails": "Geen afbeeldingsdetails gevonden",
+ "hiresFix": "Optimalisatie voor hoge resolutie",
+ "cfgScale": "CFG-schaal",
+ "fit": "Schaal aanpassen in Afbeelding naar afbeelding",
+ "initImage": "Initiële afbeelding",
+ "recallParameters": "Opnieuw aan te roepen parameters",
+ "height": "Hoogte",
+ "variations": "Paren seedwaarde-gewicht",
+ "noMetaData": "Geen metagegevens gevonden",
+ "width": "Breedte",
+ "createdBy": "Gemaakt door",
+ "workflow": "Werkstroom",
+ "steps": "Stappen",
+ "scheduler": "Planner",
+ "noRecallParameters": "Geen opnieuw uit te voeren parameters gevonden"
+ },
+ "queue": {
+ "status": "Status",
+ "pruneSucceeded": "{{item_count}} voltooide onderdelen uit wachtrij gesnoeid",
+ "cancelTooltip": "Annuleer huidig onderdeel",
+ "queueEmpty": "Wachtrij leeg",
+ "pauseSucceeded": "Verwerker onderbroken",
+ "in_progress": "Bezig",
+ "queueFront": "Voeg toe aan voorkant van wachtrij",
+ "notReady": "Kan niet in wachtrij plaatsen",
+ "batchFailedToQueue": "Fout bij reeks in wachtrij plaatsen",
+ "completed": "Voltooid",
+ "queueBack": "Voeg toe aan wachtrij",
+ "batchValues": "Reekswaarden",
+ "cancelFailed": "Fout bij annuleren onderdeel",
+ "queueCountPrediction": "Voeg {{predicted}} toe aan wachtrij",
+ "batchQueued": "Reeks in wachtrij geplaatst",
+ "pauseFailed": "Fout bij onderbreken verwerker",
+ "clearFailed": "Fout bij wissen van wachtrij",
+ "queuedCount": "{{pending}} wachtend",
+ "front": "begin",
+ "clearSucceeded": "Wachtrij gewist",
+ "pause": "Onderbreek",
+ "pruneTooltip": "Snoei {{item_count}} voltooide onderdelen",
+ "cancelSucceeded": "Onderdeel geannuleerd",
+ "batchQueuedDesc_one": "Voeg {{count}} sessie toe aan het {{direction}} van de wachtrij",
+ "batchQueuedDesc_other": "Voeg {{count}} sessies toe aan het {{direction}} van de wachtrij",
+ "graphQueued": "Graaf in wachtrij geplaatst",
+ "queue": "Wachtrij",
+ "batch": "Reeks",
+ "clearQueueAlertDialog": "Als je de wachtrij onmiddellijk wist, dan worden alle onderdelen die bezig zijn geannuleerd en wordt de gehele wachtrij gewist.",
+ "pending": "Wachtend",
+ "completedIn": "Voltooid na",
+ "resumeFailed": "Fout bij hervatten verwerker",
+ "clear": "Wis",
+ "prune": "Snoei",
+ "total": "Totaal",
+ "canceled": "Geannuleerd",
+ "pruneFailed": "Fout bij snoeien van wachtrij",
+ "cancelBatchSucceeded": "Reeks geannuleerd",
+ "clearTooltip": "Annuleer en wis alle onderdelen",
+ "current": "Huidig",
+ "pauseTooltip": "Onderbreek verwerker",
+ "failed": "Mislukt",
+ "cancelItem": "Annuleer onderdeel",
+ "next": "Volgende",
+ "cancelBatch": "Annuleer reeks",
+ "back": "eind",
+ "cancel": "Annuleer",
+ "session": "Sessie",
+ "queueTotal": "Totaal {{total}}",
+ "resumeSucceeded": "Verwerker hervat",
+ "enqueueing": "Toevoegen van reeks aan wachtrij",
+ "resumeTooltip": "Hervat verwerker",
+ "queueMaxExceeded": "Max. aantal van {{max_queue_size}} overschreden, {{skip}} worden overgeslagen",
+ "resume": "Hervat",
+ "cancelBatchFailed": "Fout bij annuleren van reeks",
+ "clearQueueAlertDialog2": "Weet je zeker dat je de wachtrij wilt wissen?",
+ "item": "Onderdeel",
+ "graphFailedToQueue": "Fout bij toevoegen graaf aan wachtrij"
+ },
+ "sdxl": {
+ "refinerStart": "Startwaarde verfijner",
+ "selectAModel": "Kies een model",
+ "scheduler": "Planner",
+ "cfgScale": "CFG-schaal",
+ "negStylePrompt": "Negatieve-stijlprompt",
+ "noModelsAvailable": "Geen modellen beschikbaar",
+ "refiner": "Verfijner",
+ "negAestheticScore": "Negatieve aantrekkelijkheidsscore",
+ "useRefiner": "Gebruik verfijner",
+ "denoisingStrength": "Sterkte ontruising",
+ "refinermodel": "Verfijnermodel",
+ "posAestheticScore": "Positieve aantrekkelijkheidsscore",
+ "concatPromptStyle": "Plak prompt- en stijltekst aan elkaar",
+ "loading": "Bezig met laden...",
+ "steps": "Stappen",
+ "posStylePrompt": "Positieve-stijlprompt"
+ },
+ "models": {
+ "noMatchingModels": "Geen overeenkomend modellen",
+ "loading": "bezig met laden",
+ "noMatchingLoRAs": "Geen overeenkomende LoRA's",
+ "noLoRAsAvailable": "Geen LoRA's beschikbaar",
+ "noModelsAvailable": "Geen modellen beschikbaar",
+ "selectModel": "Kies een model",
+ "selectLoRA": "Kies een LoRA"
+ },
+ "boards": {
+ "autoAddBoard": "Voeg automatisch bord toe",
+ "topMessage": "Dit bord bevat afbeeldingen die in gebruik zijn door de volgende functies:",
+ "move": "Verplaats",
+ "menuItemAutoAdd": "Voeg dit automatisch toe aan bord",
+ "myBoard": "Mijn bord",
+ "searchBoard": "Zoek borden...",
+ "noMatching": "Geen overeenkomende borden",
+ "selectBoard": "Kies een bord",
+ "cancel": "Annuleer",
+ "addBoard": "Voeg bord toe",
+ "bottomMessage": "Als je dit bord en alle afbeeldingen erop verwijdert, dan worden alle functies teruggezet die ervan gebruik maken.",
+ "uncategorized": "Zonder categorie",
+ "downloadBoard": "Download bord",
+ "changeBoard": "Wijzig bord",
+ "loading": "Bezig met laden...",
+ "clearSearch": "Maak zoekopdracht leeg"
+ },
+ "invocationCache": {
+ "disable": "Schakel uit",
+ "misses": "Mislukt cacheverzoek",
+ "enableFailed": "Fout bij inschakelen aanroepcache",
+ "invocationCache": "Aanroepcache",
+ "clearSucceeded": "Aanroepcache gewist",
+ "enableSucceeded": "Aanroepcache ingeschakeld",
+ "clearFailed": "Fout bij wissen aanroepcache",
+ "hits": "Gelukt cacheverzoek",
+ "disableSucceeded": "Aanroepcache uitgeschakeld",
+ "disableFailed": "Fout bij uitschakelen aanroepcache",
+ "enable": "Schakel in",
+ "clear": "Wis",
+ "maxCacheSize": "Max. grootte cache",
+ "cacheSize": "Grootte cache"
+ },
+ "embedding": {
+ "noMatchingEmbedding": "Geen overeenkomende embeddings",
+ "addEmbedding": "Voeg embedding toe",
+ "incompatibleModel": "Niet-compatibel basismodel:"
}
}
diff --git a/invokeai/frontend/web/public/locales/pl.json b/invokeai/frontend/web/public/locales/pl.json
index 246271658a..f77c0c4710 100644
--- a/invokeai/frontend/web/public/locales/pl.json
+++ b/invokeai/frontend/web/public/locales/pl.json
@@ -1,13 +1,9 @@
{
"common": {
"hotkeysLabel": "Skróty klawiszowe",
- "themeLabel": "Motyw",
"languagePickerLabel": "Wybór języka",
"reportBugLabel": "Zgłoś błąd",
"settingsLabel": "Ustawienia",
- "darkTheme": "Ciemny",
- "lightTheme": "Jasny",
- "greenTheme": "Zielony",
"img2img": "Obraz na obraz",
"unifiedCanvas": "Tryb uniwersalny",
"nodes": "Węzły",
@@ -43,7 +39,11 @@
"statusUpscaling": "Powiększanie obrazu",
"statusUpscalingESRGAN": "Powiększanie (ESRGAN)",
"statusLoadingModel": "Wczytywanie modelu",
- "statusModelChanged": "Zmieniono model"
+ "statusModelChanged": "Zmieniono model",
+ "githubLabel": "GitHub",
+ "discordLabel": "Discord",
+ "darkMode": "Tryb ciemny",
+ "lightMode": "Tryb jasny"
},
"gallery": {
"generations": "Wygenerowane",
@@ -56,7 +56,6 @@
"maintainAspectRatio": "Zachowaj proporcje",
"autoSwitchNewImages": "Przełączaj na nowe obrazy",
"singleColumnLayout": "Układ jednokolumnowy",
- "pinGallery": "Przypnij galerię",
"allImagesLoaded": "Koniec listy",
"loadMore": "Wczytaj więcej",
"noImagesInGallery": "Brak obrazów w galerii"
@@ -274,7 +273,6 @@
"cfgScale": "Skala CFG",
"width": "Szerokość",
"height": "Wysokość",
- "sampler": "Próbkowanie",
"seed": "Inicjator",
"randomizeSeed": "Losowy inicjator",
"shuffle": "Losuj",
@@ -296,10 +294,6 @@
"hiresOptim": "Optymalizacja wys. rozdzielczości",
"imageFit": "Przeskaluj oryginalny obraz",
"codeformerFidelity": "Dokładność",
- "seamSize": "Rozmiar",
- "seamBlur": "Rozmycie",
- "seamStrength": "Siła",
- "seamSteps": "Kroki",
"scaleBeforeProcessing": "Tryb skalowania",
"scaledWidth": "Sk. do szer.",
"scaledHeight": "Sk. do wys.",
@@ -310,8 +304,6 @@
"infillScalingHeader": "Wypełnienie i skalowanie",
"img2imgStrength": "Wpływ sugestii na obraz",
"toggleLoopback": "Wł/wył sprzężenie zwrotne",
- "invoke": "Wywołaj",
- "promptPlaceholder": "W tym miejscu wprowadź swoje sugestie. [negatywne sugestie], (wzmocnienie), (osłabienie)--, po więcej opcji (np. swap lub blend) zajrzyj do dokumentacji",
"sendTo": "Wyślij do",
"sendToImg2Img": "Użyj w trybie \"Obraz na obraz\"",
"sendToUnifiedCanvas": "Użyj w trybie uniwersalnym",
@@ -324,7 +316,6 @@
"useAll": "Skopiuj wszystko",
"useInitImg": "Użyj oryginalnego obrazu",
"info": "Informacje",
- "deleteImage": "Usuń obraz",
"initialImage": "Oryginalny obraz",
"showOptionsPanel": "Pokaż panel ustawień"
},
@@ -334,7 +325,6 @@
"saveSteps": "Zapisuj obrazy co X kroków",
"confirmOnDelete": "Potwierdzaj usuwanie",
"displayHelpIcons": "Wyświetlaj ikony pomocy",
- "useCanvasBeta": "Nowy układ trybu uniwersalnego",
"enableImageDebugging": "Włącz debugowanie obrazu",
"resetWebUI": "Zresetuj interfejs",
"resetWebUIDesc1": "Resetowanie interfejsu wyczyści jedynie dane i ustawienia zapisane w pamięci przeglądarki. Nie usunie żadnych obrazów z dysku.",
@@ -344,7 +334,6 @@
"toast": {
"tempFoldersEmptied": "Wyczyszczono folder tymczasowy",
"uploadFailed": "Błąd przesyłania obrazu",
- "uploadFailedMultipleImagesDesc": "Możliwe jest przesłanie tylko jednego obrazu na raz",
"uploadFailedUnableToLoadDesc": "Błąd wczytywania obrazu",
"downloadImageStarted": "Rozpoczęto pobieranie",
"imageCopied": "Skopiowano obraz",
@@ -446,5 +435,27 @@
"betaDarkenOutside": "Przyciemnienie",
"betaLimitToBox": "Ogranicz do zaznaczenia",
"betaPreserveMasked": "Zachowaj obszar"
+ },
+ "accessibility": {
+ "zoomIn": "Przybliż",
+ "exitViewer": "Wyjdź z podglądu",
+ "modelSelect": "Wybór modelu",
+ "invokeProgressBar": "Pasek postępu",
+ "reset": "Zerowanie",
+ "useThisParameter": "Użyj tego parametru",
+ "copyMetadataJson": "Kopiuj metadane JSON",
+ "uploadImage": "Wgrywanie obrazu",
+ "previousImage": "Poprzedni obraz",
+ "nextImage": "Następny obraz",
+ "zoomOut": "Oddal",
+ "rotateClockwise": "Obróć zgodnie ze wskazówkami zegara",
+ "rotateCounterClockwise": "Obróć przeciwnie do wskazówek zegara",
+ "flipHorizontally": "Odwróć horyzontalnie",
+ "flipVertically": "Odwróć wertykalnie",
+ "modifyConfig": "Modyfikuj ustawienia",
+ "toggleAutoscroll": "Przełącz autoprzewijanie",
+ "toggleLogViewer": "Przełącz podgląd logów",
+ "showOptionsPanel": "Pokaż panel opcji",
+ "menu": "Menu"
}
}
diff --git a/invokeai/frontend/web/public/locales/pt.json b/invokeai/frontend/web/public/locales/pt.json
index 6d19e3ad92..ac9dd50b4d 100644
--- a/invokeai/frontend/web/public/locales/pt.json
+++ b/invokeai/frontend/web/public/locales/pt.json
@@ -1,11 +1,8 @@
{
"common": {
- "greenTheme": "Verde",
"langArabic": "العربية",
- "themeLabel": "Tema",
"reportBugLabel": "Reportar Bug",
"settingsLabel": "Configurações",
- "lightTheme": "Claro",
"langBrPortuguese": "Português do Brasil",
"languagePickerLabel": "Seletor de Idioma",
"langDutch": "Nederlands",
@@ -57,14 +54,11 @@
"statusModelChanged": "Modelo Alterado",
"githubLabel": "Github",
"discordLabel": "Discord",
- "darkTheme": "Escuro",
"training": "Treinando",
"statusGeneratingOutpainting": "Geração de Ampliação",
"statusGenerationComplete": "Geração Completa",
"statusMergingModels": "Mesclando Modelos",
"statusMergedModels": "Modelos Mesclados",
- "oceanTheme": "Oceano",
- "pinOptionsPanel": "Fixar painel de opções",
"loading": "A carregar",
"loadingInvokeAI": "A carregar Invoke AI",
"langPortuguese": "Português"
@@ -74,7 +68,6 @@
"gallerySettings": "Configurações de Galeria",
"maintainAspectRatio": "Mater Proporções",
"autoSwitchNewImages": "Trocar para Novas Imagens Automaticamente",
- "pinGallery": "Fixar Galeria",
"singleColumnLayout": "Disposição em Coluna Única",
"allImagesLoaded": "Todas as Imagens Carregadas",
"loadMore": "Carregar Mais",
@@ -407,7 +400,6 @@
"width": "Largura",
"seed": "Seed",
"hiresStrength": "Força da Alta Resolução",
- "negativePrompts": "Indicações negativas",
"general": "Geral",
"randomizeSeed": "Seed Aleatório",
"shuffle": "Embaralhar",
@@ -425,10 +417,6 @@
"hiresOptim": "Otimização de Alta Res",
"imageFit": "Caber Imagem Inicial No Tamanho de Saída",
"codeformerFidelity": "Fidelidade",
- "seamSize": "Tamanho da Fronteira",
- "seamBlur": "Desfoque da Fronteira",
- "seamStrength": "Força da Fronteira",
- "seamSteps": "Passos da Fronteira",
"tileSize": "Tamanho do Ladrilho",
"boundingBoxHeader": "Caixa Delimitadora",
"seamCorrectionHeader": "Correção de Fronteira",
@@ -436,12 +424,10 @@
"img2imgStrength": "Força de Imagem Para Imagem",
"toggleLoopback": "Ativar Loopback",
"symmetry": "Simetria",
- "promptPlaceholder": "Digite o prompt aqui. [tokens negativos], (upweight)++, (downweight)--, trocar e misturar estão disponíveis (veja docs)",
"sendTo": "Mandar para",
"openInViewer": "Abrir No Visualizador",
"closeViewer": "Fechar Visualizador",
"usePrompt": "Usar Prompt",
- "deleteImage": "Apagar Imagem",
"initialImage": "Imagem inicial",
"showOptionsPanel": "Mostrar Painel de Opções",
"strength": "Força",
@@ -449,12 +435,10 @@
"upscale": "Redimensionar",
"upscaleImage": "Redimensionar Imagem",
"scaleBeforeProcessing": "Escala Antes do Processamento",
- "invoke": "Invocar",
"images": "Imagems",
"steps": "Passos",
"cfgScale": "Escala CFG",
"height": "Altura",
- "sampler": "Amostrador",
"imageToImage": "Imagem para Imagem",
"variationAmount": "Quntidade de Variatções",
"scaledWidth": "L Escalada",
@@ -481,7 +465,6 @@
"settings": {
"confirmOnDelete": "Confirmar Antes de Apagar",
"displayHelpIcons": "Mostrar Ícones de Ajuda",
- "useCanvasBeta": "Usar Layout de Telas Beta",
"enableImageDebugging": "Ativar Depuração de Imagem",
"useSlidersForAll": "Usar deslizadores para todas as opções",
"resetWebUIDesc1": "Reiniciar a interface apenas reinicia o cache local do broswer para imagens e configurações lembradas. Não apaga nenhuma imagem do disco.",
@@ -494,7 +477,6 @@
},
"toast": {
"uploadFailed": "Envio Falhou",
- "uploadFailedMultipleImagesDesc": "Várias imagens copiadas, só é permitido uma imagem de cada vez",
"uploadFailedUnableToLoadDesc": "Não foj possível carregar o ficheiro",
"downloadImageStarted": "Download de Imagem Começou",
"imageNotLoadedDesc": "Nenhuma imagem encontrada a enviar para o módulo de imagem para imagem",
@@ -611,7 +593,6 @@
"flipVertically": "Espelhar verticalmente",
"modifyConfig": "Modificar config",
"toggleAutoscroll": "Alternar rolagem automática",
- "showGallery": "Mostrar galeria",
"showOptionsPanel": "Mostrar painel de opções",
"uploadImage": "Enviar imagem",
"previousImage": "Imagem anterior",
diff --git a/invokeai/frontend/web/public/locales/pt_BR.json b/invokeai/frontend/web/public/locales/pt_BR.json
index e77ef14719..3b45dbbbf3 100644
--- a/invokeai/frontend/web/public/locales/pt_BR.json
+++ b/invokeai/frontend/web/public/locales/pt_BR.json
@@ -1,13 +1,9 @@
{
"common": {
"hotkeysLabel": "Teclas de atalho",
- "themeLabel": "Tema",
"languagePickerLabel": "Seletor de Idioma",
"reportBugLabel": "Relatar Bug",
"settingsLabel": "Configurações",
- "darkTheme": "Noite",
- "lightTheme": "Dia",
- "greenTheme": "Verde",
"img2img": "Imagem Para Imagem",
"unifiedCanvas": "Tela Unificada",
"nodes": "Nódulos",
@@ -63,7 +59,6 @@
"statusMergedModels": "Modelos Mesclados",
"langRussian": "Russo",
"langSpanish": "Espanhol",
- "pinOptionsPanel": "Fixar painel de opções",
"loadingInvokeAI": "Carregando Invoke AI",
"loading": "Carregando"
},
@@ -78,7 +73,6 @@
"maintainAspectRatio": "Mater Proporções",
"autoSwitchNewImages": "Trocar para Novas Imagens Automaticamente",
"singleColumnLayout": "Disposição em Coluna Única",
- "pinGallery": "Fixar Galeria",
"allImagesLoaded": "Todas as Imagens Carregadas",
"loadMore": "Carregar Mais",
"noImagesInGallery": "Sem Imagens na Galeria"
@@ -402,7 +396,6 @@
"cfgScale": "Escala CFG",
"width": "Largura",
"height": "Altura",
- "sampler": "Amostrador",
"seed": "Seed",
"randomizeSeed": "Seed Aleatório",
"shuffle": "Embaralhar",
@@ -424,10 +417,6 @@
"hiresOptim": "Otimização de Alta Res",
"imageFit": "Caber Imagem Inicial No Tamanho de Saída",
"codeformerFidelity": "Fidelidade",
- "seamSize": "Tamanho da Fronteira",
- "seamBlur": "Desfoque da Fronteira",
- "seamStrength": "Força da Fronteira",
- "seamSteps": "Passos da Fronteira",
"scaleBeforeProcessing": "Escala Antes do Processamento",
"scaledWidth": "L Escalada",
"scaledHeight": "A Escalada",
@@ -438,8 +427,6 @@
"infillScalingHeader": "Preencimento e Escala",
"img2imgStrength": "Força de Imagem Para Imagem",
"toggleLoopback": "Ativar Loopback",
- "invoke": "Invoke",
- "promptPlaceholder": "Digite o prompt aqui. [tokens negativos], (upweight)++, (downweight)--, trocar e misturar estão disponíveis (veja docs)",
"sendTo": "Mandar para",
"sendToImg2Img": "Mandar para Imagem Para Imagem",
"sendToUnifiedCanvas": "Mandar para Tela Unificada",
@@ -452,14 +439,12 @@
"useAll": "Usar Todos",
"useInitImg": "Usar Imagem Inicial",
"info": "Informações",
- "deleteImage": "Apagar Imagem",
"initialImage": "Imagem inicial",
"showOptionsPanel": "Mostrar Painel de Opções",
"vSymmetryStep": "V Passo de Simetria",
"hSymmetryStep": "H Passo de Simetria",
"symmetry": "Simetria",
"copyImage": "Copiar imagem",
- "negativePrompts": "Indicações negativas",
"hiresStrength": "Força da Alta Resolução",
"denoisingStrength": "A força de remoção de ruído",
"imageToImage": "Imagem para Imagem",
@@ -477,7 +462,6 @@
"saveSteps": "Salvar imagens a cada n passos",
"confirmOnDelete": "Confirmar Antes de Apagar",
"displayHelpIcons": "Mostrar Ícones de Ajuda",
- "useCanvasBeta": "Usar Layout de Telas Beta",
"enableImageDebugging": "Ativar Depuração de Imagem",
"resetWebUI": "Reiniciar Interface",
"resetWebUIDesc1": "Reiniciar a interface apenas reinicia o cache local do broswer para imagens e configurações lembradas. Não apaga nenhuma imagem do disco.",
@@ -488,7 +472,6 @@
"toast": {
"tempFoldersEmptied": "Pasta de Arquivos Temporários Esvaziada",
"uploadFailed": "Envio Falhou",
- "uploadFailedMultipleImagesDesc": "Várias imagens copiadas, só é permitido uma imagem de cada vez",
"uploadFailedUnableToLoadDesc": "Não foj possível carregar o arquivo",
"downloadImageStarted": "Download de Imagem Começou",
"imageCopied": "Imagem Copiada",
diff --git a/invokeai/frontend/web/public/locales/ru.json b/invokeai/frontend/web/public/locales/ru.json
index 822389d78a..808db9e803 100644
--- a/invokeai/frontend/web/public/locales/ru.json
+++ b/invokeai/frontend/web/public/locales/ru.json
@@ -1,16 +1,12 @@
{
"common": {
"hotkeysLabel": "Горячие клавиши",
- "themeLabel": "Тема",
"languagePickerLabel": "Язык",
"reportBugLabel": "Сообщить об ошибке",
"settingsLabel": "Настройки",
- "darkTheme": "Темная",
- "lightTheme": "Светлая",
- "greenTheme": "Зеленая",
"img2img": "Изображение в изображение (img2img)",
"unifiedCanvas": "Единый холст",
- "nodes": "Ноды",
+ "nodes": "Редактор рабочего процесса",
"langRussian": "Русский",
"nodesDesc": "Cистема генерации изображений на основе нодов (узлов) уже разрабатывается. Следите за новостями об этой замечательной функции.",
"postProcessing": "Постобработка",
@@ -49,14 +45,12 @@
"statusMergingModels": "Слияние моделей",
"statusModelConverted": "Модель сконвертирована",
"statusMergedModels": "Модели объединены",
- "pinOptionsPanel": "Закрепить панель настроек",
"loading": "Загрузка",
"loadingInvokeAI": "Загрузка Invoke AI",
"back": "Назад",
"statusConvertingModel": "Конвертация модели",
"cancel": "Отменить",
"accept": "Принять",
- "oceanTheme": "Океан",
"langUkranian": "Украинский",
"langEnglish": "Английский",
"postprocessing": "Постобработка",
@@ -74,7 +68,21 @@
"langPortuguese": "Португальский",
"txt2img": "Текст в изображение (txt2img)",
"langBrPortuguese": "Португальский (Бразилия)",
- "linear": "Линейная обработка"
+ "linear": "Линейная обработка",
+ "dontAskMeAgain": "Больше не спрашивать",
+ "areYouSure": "Вы уверены?",
+ "random": "Случайное",
+ "generate": "Сгенерировать",
+ "openInNewTab": "Открыть в новой вкладке",
+ "imagePrompt": "Запрос",
+ "communityLabel": "Сообщество",
+ "lightMode": "Светлая тема",
+ "batch": "Пакетный менеджер",
+ "modelManager": "Менеджер моделей",
+ "darkMode": "Темная тема",
+ "nodeEditor": "Редактор Нодов (Узлов)",
+ "controlNet": "Controlnet",
+ "advanced": "Расширенные"
},
"gallery": {
"generations": "Генерации",
@@ -87,10 +95,15 @@
"maintainAspectRatio": "Сохранять пропорции",
"autoSwitchNewImages": "Автоматически выбирать новые",
"singleColumnLayout": "Одна колонка",
- "pinGallery": "Закрепить галерею",
"allImagesLoaded": "Все изображения загружены",
"loadMore": "Показать больше",
- "noImagesInGallery": "Изображений нет"
+ "noImagesInGallery": "Изображений нет",
+ "deleteImagePermanent": "Удаленные изображения невозможно восстановить.",
+ "deleteImageBin": "Удаленные изображения будут отправлены в корзину вашей операционной системы.",
+ "deleteImage": "Удалить изображение",
+ "images": "Изображения",
+ "assets": "Ресурсы",
+ "autoAssignBoardOnClick": "Авто-назначение доски по клику"
},
"hotkeys": {
"keyboardShortcuts": "Горячие клавиши",
@@ -297,7 +310,12 @@
"acceptStagingImage": {
"title": "Принять изображение",
"desc": "Принять текущее изображение"
- }
+ },
+ "addNodes": {
+ "desc": "Открывает меню добавления узла",
+ "title": "Добавление узлов"
+ },
+ "nodesHotkeys": "Горячие клавиши узлов"
},
"modelManager": {
"modelManager": "Менеджер моделей",
@@ -350,14 +368,14 @@
"deleteModel": "Удалить модель",
"deleteConfig": "Удалить конфигурацию",
"deleteMsg1": "Вы точно хотите удалить модель из InvokeAI?",
- "deleteMsg2": "Это не удалит файл модели с диска. Позже вы можете добавить его снова.",
+ "deleteMsg2": "Это приведет К УДАЛЕНИЮ модели С ДИСКА, если она находится в корневой папке Invoke. Если вы используете пользовательское расположение, то модель НЕ будет удалена с диска.",
"repoIDValidationMsg": "Онлайн-репозиторий модели",
- "convertToDiffusersHelpText5": "Пожалуйста, убедитесь, что у вас достаточно места на диске. Модели обычно занимают 4 – 7 Гб.",
+ "convertToDiffusersHelpText5": "Пожалуйста, убедитесь, что у вас достаточно места на диске. Модели обычно занимают 2–7 Гб.",
"invokeAIFolder": "Каталог InvokeAI",
"ignoreMismatch": "Игнорировать несоответствия между выбранными моделями",
"addCheckpointModel": "Добавить модель Checkpoint/Safetensor",
"formMessageDiffusersModelLocationDesc": "Укажите хотя бы одно.",
- "convertToDiffusersHelpText3": "Файл модели на диске НЕ будет удалён или изменён. Вы сможете заново добавить его в Model Manager при необходимости.",
+ "convertToDiffusersHelpText3": "Ваш файл контрольной точки НА ДИСКЕ будет УДАЛЕН, если он находится в корневой папке InvokeAI. Если он находится в пользовательском расположении, то он НЕ будет удален.",
"vaeRepoID": "ID репозитория VAE",
"mergedModelName": "Название объединенной модели",
"checkpointModels": "Checkpoints",
@@ -409,7 +427,27 @@
"weightedSum": "Взвешенная сумма",
"safetensorModels": "SafeTensors",
"v2_768": "v2 (768px)",
- "v2_base": "v2 (512px)"
+ "v2_base": "v2 (512px)",
+ "modelDeleted": "Модель удалена",
+ "importModels": "Импорт Моделей",
+ "variant": "Вариант",
+ "baseModel": "Базовая модель",
+ "modelsSynced": "Модели синхронизированы",
+ "modelSyncFailed": "Не удалось синхронизировать модели",
+ "vae": "VAE",
+ "modelDeleteFailed": "Не удалось удалить модель",
+ "noCustomLocationProvided": "Пользовательское местоположение не указано",
+ "convertingModelBegin": "Конвертация модели. Пожалуйста, подождите.",
+ "settings": "Настройки",
+ "selectModel": "Выберите модель",
+ "syncModels": "Синхронизация моделей",
+ "syncModelsDesc": "Если ваши модели не синхронизированы с серверной частью, вы можете обновить их, используя эту опцию. Обычно это удобно в тех случаях, когда вы вручную обновляете свой файл \"models.yaml\" или добавляете модели в корневую папку InvokeAI после загрузки приложения.",
+ "modelUpdateFailed": "Не удалось обновить модель",
+ "modelConversionFailed": "Не удалось сконвертировать модель",
+ "modelsMergeFailed": "Не удалось выполнить слияние моделей",
+ "loraModels": "LoRAs",
+ "onnxModels": "Onnx",
+ "oliveModels": "Olives"
},
"parameters": {
"images": "Изображения",
@@ -417,10 +455,9 @@
"cfgScale": "Уровень CFG",
"width": "Ширина",
"height": "Высота",
- "sampler": "Семплер",
"seed": "Сид",
"randomizeSeed": "Случайный сид",
- "shuffle": "Обновить",
+ "shuffle": "Обновить сид",
"noiseThreshold": "Порог шума",
"perlinNoise": "Шум Перлина",
"variations": "Вариации",
@@ -439,10 +476,6 @@
"hiresOptim": "Оптимизация High Res",
"imageFit": "Уместить изображение",
"codeformerFidelity": "Точность",
- "seamSize": "Размер шва",
- "seamBlur": "Размытие шва",
- "seamStrength": "Сила шва",
- "seamSteps": "Шаги шва",
"scaleBeforeProcessing": "Масштабировать",
"scaledWidth": "Масштаб Ш",
"scaledHeight": "Масштаб В",
@@ -453,8 +486,6 @@
"infillScalingHeader": "Заполнение и масштабирование",
"img2imgStrength": "Сила обработки img2img",
"toggleLoopback": "Зациклить обработку",
- "invoke": "Invoke",
- "promptPlaceholder": "Введите запрос здесь (на английском). [исключенные токены], (более значимые)++, (менее значимые)--, swap и blend тоже доступны (смотрите Github)",
"sendTo": "Отправить",
"sendToImg2Img": "Отправить в img2img",
"sendToUnifiedCanvas": "Отправить на Единый холст",
@@ -467,7 +498,6 @@
"useAll": "Использовать все",
"useInitImg": "Использовать как исходное",
"info": "Метаданные",
- "deleteImage": "Удалить изображение",
"initialImage": "Исходное изображение",
"showOptionsPanel": "Показать панель настроек",
"vSymmetryStep": "Шаг верт. симметрии",
@@ -485,8 +515,27 @@
"imageToImage": "Изображение в изображение",
"denoisingStrength": "Сила шумоподавления",
"copyImage": "Скопировать изображение",
- "negativePrompts": "Исключающий запрос",
- "showPreview": "Показать предпросмотр"
+ "showPreview": "Показать предпросмотр",
+ "noiseSettings": "Шум",
+ "seamlessXAxis": "Ось X",
+ "seamlessYAxis": "Ось Y",
+ "scheduler": "Планировщик",
+ "boundingBoxWidth": "Ширина ограничивающей рамки",
+ "boundingBoxHeight": "Высота ограничивающей рамки",
+ "positivePromptPlaceholder": "Запрос",
+ "negativePromptPlaceholder": "Исключающий запрос",
+ "controlNetControlMode": "Режим управления",
+ "clipSkip": "CLIP Пропуск",
+ "aspectRatio": "Соотношение",
+ "maskAdjustmentsHeader": "Настройка маски",
+ "maskBlur": "Размытие",
+ "maskBlurMethod": "Метод размытия",
+ "seamLowThreshold": "Низкий",
+ "seamHighThreshold": "Высокий",
+ "coherenceSteps": "Шагов",
+ "coherencePassHeader": "Порог Coherence",
+ "coherenceStrength": "Сила",
+ "compositingSettingsHeader": "Настройки компоновки"
},
"settings": {
"models": "Модели",
@@ -494,24 +543,38 @@
"saveSteps": "Сохранять каждые n щагов",
"confirmOnDelete": "Подтверждать удаление",
"displayHelpIcons": "Показывать значки подсказок",
- "useCanvasBeta": "Показывать инструменты слева (Beta UI)",
"enableImageDebugging": "Включить отладку",
"resetWebUI": "Сброс настроек Web UI",
"resetWebUIDesc1": "Сброс настроек веб-интерфейса удаляет только локальный кэш браузера с вашими изображениями и настройками. Он не удаляет изображения с диска.",
"resetWebUIDesc2": "Если изображения не отображаются в галерее или не работает что-то еще, пожалуйста, попробуйте сбросить настройки, прежде чем сообщать о проблеме на GitHub.",
- "resetComplete": "Интерфейс сброшен. Обновите эту страницу.",
- "useSlidersForAll": "Использовать ползунки для всех параметров"
+ "resetComplete": "Настройки веб-интерфейса были сброшены.",
+ "useSlidersForAll": "Использовать ползунки для всех параметров",
+ "consoleLogLevel": "Уровень логирования",
+ "shouldLogToConsole": "Логи в консоль",
+ "developer": "Разработчик",
+ "general": "Основное",
+ "showProgressInViewer": "Показывать процесс генерации в Просмотрщике",
+ "antialiasProgressImages": "Сглаживать предпоказ процесса генерации",
+ "generation": "Поколение",
+ "ui": "Пользовательский интерфейс",
+ "favoriteSchedulers": "Избранные планировщики",
+ "favoriteSchedulersPlaceholder": "Нет избранных планировщиков",
+ "enableNodesEditor": "Включить редактор узлов",
+ "experimental": "Экспериментальные",
+ "beta": "Бета",
+ "alternateCanvasLayout": "Альтернативный слой холста",
+ "showAdvancedOptions": "Показать доп. параметры",
+ "autoChangeDimensions": "Обновить Ш/В на стандартные для модели при изменении"
},
"toast": {
"tempFoldersEmptied": "Временная папка очищена",
"uploadFailed": "Загрузка не удалась",
- "uploadFailedMultipleImagesDesc": "Можно вставить только одно изображение (вы попробовали вставить несколько)",
"uploadFailedUnableToLoadDesc": "Невозможно загрузить файл",
"downloadImageStarted": "Скачивание изображения началось",
"imageCopied": "Изображение скопировано",
"imageLinkCopied": "Ссылка на изображение скопирована",
"imageNotLoaded": "Изображение не загружено",
- "imageNotLoadedDesc": "Не найдены изображения для отправки в img2img",
+ "imageNotLoadedDesc": "Не удалось найти изображение",
"imageSavedToGallery": "Изображение сохранено в галерею",
"canvasMerged": "Холст объединен",
"sentToImageToImage": "Отправить в img2img",
@@ -536,7 +599,21 @@
"serverError": "Ошибка сервера",
"disconnected": "Отключено от сервера",
"connected": "Подключено к серверу",
- "canceled": "Обработка отменена"
+ "canceled": "Обработка отменена",
+ "problemCopyingImageLink": "Не удалось скопировать ссылку на изображение",
+ "uploadFailedInvalidUploadDesc": "Должно быть одно изображение в формате PNG или JPEG",
+ "parameterNotSet": "Параметр не задан",
+ "parameterSet": "Параметр задан",
+ "nodesLoaded": "Узлы загружены",
+ "problemCopyingImage": "Не удается скопировать изображение",
+ "nodesLoadedFailed": "Не удалось загрузить Узлы",
+ "nodesCleared": "Узлы очищены",
+ "nodesBrokenConnections": "Не удается загрузить. Некоторые соединения повреждены.",
+ "nodesUnrecognizedTypes": "Не удается загрузить. Граф имеет нераспознанные типы",
+ "nodesNotValidJSON": "Недопустимый JSON",
+ "nodesCorruptedGraph": "Не удается загрузить. Граф, похоже, поврежден.",
+ "nodesSaved": "Узлы сохранены",
+ "nodesNotValidGraph": "Недопустимый граф узлов InvokeAI"
},
"tooltip": {
"feature": {
@@ -610,7 +687,8 @@
"betaClear": "Очистить",
"betaDarkenOutside": "Затемнить снаружи",
"betaLimitToBox": "Ограничить выделением",
- "betaPreserveMasked": "Сохранять маскируемую область"
+ "betaPreserveMasked": "Сохранять маскируемую область",
+ "antialiasing": "Не удалось скопировать ссылку на изображение"
},
"accessibility": {
"modelSelect": "Выбор модели",
@@ -625,8 +703,7 @@
"flipHorizontally": "Отразить горизонтально",
"toggleAutoscroll": "Включить автопрокрутку",
"toggleLogViewer": "Показать или скрыть просмотрщик логов",
- "showOptionsPanel": "Показать опции",
- "showGallery": "Показать галерею",
+ "showOptionsPanel": "Показать боковую панель",
"invokeProgressBar": "Индикатор выполнения",
"reset": "Сброс",
"modifyConfig": "Изменить конфиг",
@@ -634,5 +711,69 @@
"copyMetadataJson": "Скопировать метаданные JSON",
"exitViewer": "Закрыть просмотрщик",
"menu": "Меню"
+ },
+ "ui": {
+ "showProgressImages": "Показывать промежуточный итог",
+ "hideProgressImages": "Не показывать промежуточный итог",
+ "swapSizes": "Поменять местами размеры",
+ "lockRatio": "Зафиксировать пропорции"
+ },
+ "nodes": {
+ "zoomInNodes": "Увеличьте масштаб",
+ "zoomOutNodes": "Уменьшите масштаб",
+ "fitViewportNodes": "Уместить вид",
+ "hideGraphNodes": "Скрыть оверлей графа",
+ "showGraphNodes": "Показать оверлей графа",
+ "showLegendNodes": "Показать тип поля",
+ "hideMinimapnodes": "Скрыть миникарту",
+ "hideLegendNodes": "Скрыть тип поля",
+ "showMinimapnodes": "Показать миникарту",
+ "loadWorkflow": "Загрузить рабочий процесс",
+ "resetWorkflowDesc2": "Сброс рабочего процесса очистит все узлы, ребра и детали рабочего процесса.",
+ "resetWorkflow": "Сбросить рабочий процесс",
+ "resetWorkflowDesc": "Вы уверены, что хотите сбросить этот рабочий процесс?",
+ "reloadNodeTemplates": "Перезагрузить шаблоны узлов",
+ "downloadWorkflow": "Скачать JSON рабочего процесса"
+ },
+ "controlnet": {
+ "amult": "a_mult",
+ "contentShuffleDescription": "Перетасовывает содержимое изображения",
+ "bgth": "bg_th",
+ "contentShuffle": "Перетасовка содержимого",
+ "beginEndStepPercent": "Процент начала/конца шага",
+ "duplicate": "Дублировать",
+ "balanced": "Сбалансированный",
+ "f": "F",
+ "depthMidasDescription": "Генерация карты глубины с использованием Midas",
+ "control": "Контроль",
+ "coarse": "Грубость обработки",
+ "crop": "Обрезка",
+ "depthMidas": "Глубина (Midas)",
+ "enableControlnet": "Включить ControlNet",
+ "detectResolution": "Определить разрешение",
+ "controlMode": "Режим контроля",
+ "cannyDescription": "Детектор границ Canny",
+ "depthZoe": "Глубина (Zoe)",
+ "autoConfigure": "Автонастройка процессора",
+ "delete": "Удалить",
+ "canny": "Canny",
+ "depthZoeDescription": "Генерация карты глубины с использованием Zoe"
+ },
+ "boards": {
+ "autoAddBoard": "Авто добавление Доски",
+ "topMessage": "Эта доска содержит изображения, используемые в следующих функциях:",
+ "move": "Перемещение",
+ "menuItemAutoAdd": "Авто добавление на эту доску",
+ "myBoard": "Моя Доска",
+ "searchBoard": "Поиск Доски...",
+ "noMatching": "Нет подходящих Досок",
+ "selectBoard": "Выбрать Доску",
+ "cancel": "Отменить",
+ "addBoard": "Добавить Доску",
+ "bottomMessage": "Удаление этой доски и ее изображений приведет к сбросу всех функций, использующихся их в данный момент.",
+ "uncategorized": "Без категории",
+ "changeBoard": "Изменить Доску",
+ "loading": "Загрузка...",
+ "clearSearch": "Очистить поиск"
}
}
diff --git a/invokeai/frontend/web/public/locales/sv.json b/invokeai/frontend/web/public/locales/sv.json
index da2266135d..eef46c4513 100644
--- a/invokeai/frontend/web/public/locales/sv.json
+++ b/invokeai/frontend/web/public/locales/sv.json
@@ -15,7 +15,6 @@
"reset": "Starta om",
"previousImage": "Föregående bild",
"useThisParameter": "Använd denna parametern",
- "showGallery": "Visa galleri",
"rotateCounterClockwise": "Rotera moturs",
"rotateClockwise": "Rotera medurs",
"modifyConfig": "Ändra konfiguration",
@@ -27,10 +26,6 @@
"githubLabel": "Github",
"discordLabel": "Discord",
"settingsLabel": "Inställningar",
- "darkTheme": "Mörk",
- "lightTheme": "Ljus",
- "greenTheme": "Grön",
- "oceanTheme": "Hav",
"langEnglish": "Engelska",
"langDutch": "Nederländska",
"langFrench": "Franska",
@@ -63,12 +58,10 @@
"statusGenerationComplete": "Generering klar",
"statusModelConverted": "Modell konverterad",
"statusMergingModels": "Sammanfogar modeller",
- "pinOptionsPanel": "Nåla fast inställningspanelen",
"loading": "Laddar",
"loadingInvokeAI": "Laddar Invoke AI",
"statusRestoringFaces": "Återskapar ansikten",
"languagePickerLabel": "Språkväljare",
- "themeLabel": "Tema",
"txt2img": "Text till bild",
"nodes": "Noder",
"img2img": "Bild till bild",
@@ -108,7 +101,6 @@
"galleryImageResetSize": "Återställ storlek",
"gallerySettings": "Galleriinställningar",
"maintainAspectRatio": "Behåll bildförhållande",
- "pinGallery": "Nåla fast galleri",
"noImagesInGallery": "Inga bilder i galleriet",
"autoSwitchNewImages": "Ändra automatiskt till nya bilder",
"singleColumnLayout": "Enkolumnslayout"
diff --git a/invokeai/frontend/web/public/locales/tr.json b/invokeai/frontend/web/public/locales/tr.json
index 316908b4a9..0c222eecf7 100644
--- a/invokeai/frontend/web/public/locales/tr.json
+++ b/invokeai/frontend/web/public/locales/tr.json
@@ -19,21 +19,15 @@
"reset": "Sıfırla",
"uploadImage": "Resim Yükle",
"previousImage": "Önceki Resim",
- "menu": "Menü",
- "showGallery": "Galeriyi Göster"
+ "menu": "Menü"
},
"common": {
"hotkeysLabel": "Kısayol Tuşları",
- "themeLabel": "Tema",
"languagePickerLabel": "Dil Seçimi",
"reportBugLabel": "Hata Bildir",
"githubLabel": "Github",
"discordLabel": "Discord",
"settingsLabel": "Ayarlar",
- "darkTheme": "Karanlık Tema",
- "lightTheme": "Aydınlık Tema",
- "greenTheme": "Yeşil Tema",
- "oceanTheme": "Okyanus Tema",
"langArabic": "Arapça",
"langEnglish": "İngilizce",
"langDutch": "Hollandaca",
diff --git a/invokeai/frontend/web/public/locales/uk.json b/invokeai/frontend/web/public/locales/uk.json
index 8261aa82e0..a85faee727 100644
--- a/invokeai/frontend/web/public/locales/uk.json
+++ b/invokeai/frontend/web/public/locales/uk.json
@@ -1,13 +1,9 @@
{
"common": {
"hotkeysLabel": "Гарячi клавіші",
- "themeLabel": "Тема",
"languagePickerLabel": "Мова",
"reportBugLabel": "Повідомити про помилку",
"settingsLabel": "Налаштування",
- "darkTheme": "Темна",
- "lightTheme": "Світла",
- "greenTheme": "Зелена",
"img2img": "Зображення із зображення (img2img)",
"unifiedCanvas": "Універсальне полотно",
"nodes": "Вузли",
@@ -55,8 +51,6 @@
"langHebrew": "Іврит",
"langKorean": "Корейська",
"langPortuguese": "Португальська",
- "pinOptionsPanel": "Закріпити панель налаштувань",
- "oceanTheme": "Океан",
"langArabic": "Арабська",
"langSimplifiedChinese": "Китайська (спрощена)",
"langSpanish": "Іспанська",
@@ -87,7 +81,6 @@
"maintainAspectRatio": "Зберігати пропорції",
"autoSwitchNewImages": "Автоматично вибирати нові",
"singleColumnLayout": "Одна колонка",
- "pinGallery": "Закріпити галерею",
"allImagesLoaded": "Всі зображення завантажені",
"loadMore": "Завантажити більше",
"noImagesInGallery": "Зображень немає"
@@ -417,7 +410,6 @@
"cfgScale": "Рівень CFG",
"width": "Ширина",
"height": "Висота",
- "sampler": "Семплер",
"seed": "Сід",
"randomizeSeed": "Випадковий сид",
"shuffle": "Оновити",
@@ -439,10 +431,6 @@
"hiresOptim": "Оптимізація High Res",
"imageFit": "Вмістити зображення",
"codeformerFidelity": "Точність",
- "seamSize": "Размір шву",
- "seamBlur": "Розмиття шву",
- "seamStrength": "Сила шву",
- "seamSteps": "Кроки шву",
"scaleBeforeProcessing": "Масштабувати",
"scaledWidth": "Масштаб Ш",
"scaledHeight": "Масштаб В",
@@ -453,8 +441,6 @@
"infillScalingHeader": "Заповнення і масштабування",
"img2imgStrength": "Сила обробки img2img",
"toggleLoopback": "Зациклити обробку",
- "invoke": "Викликати",
- "promptPlaceholder": "Введіть запит тут (англійською). [видалені токени], (більш вагомі)++, (менш вагомі)--, swap и blend також доступні (дивіться Github)",
"sendTo": "Надіслати",
"sendToImg2Img": "Надіслати у img2img",
"sendToUnifiedCanvas": "Надіслати на полотно",
@@ -467,7 +453,6 @@
"useAll": "Використати все",
"useInitImg": "Використати як початкове",
"info": "Метадані",
- "deleteImage": "Видалити зображення",
"initialImage": "Початкове зображення",
"showOptionsPanel": "Показати панель налаштувань",
"general": "Основне",
@@ -485,8 +470,7 @@
"denoisingStrength": "Сила шумоподавлення",
"copyImage": "Копіювати зображення",
"symmetry": "Симетрія",
- "hSymmetryStep": "Крок гор. симетрії",
- "negativePrompts": "Виключний запит"
+ "hSymmetryStep": "Крок гор. симетрії"
},
"settings": {
"models": "Моделі",
@@ -494,7 +478,6 @@
"saveSteps": "Зберігати кожні n кроків",
"confirmOnDelete": "Підтверджувати видалення",
"displayHelpIcons": "Показувати значки підказок",
- "useCanvasBeta": "Показувати інструменты зліва (Beta UI)",
"enableImageDebugging": "Увімкнути налагодження",
"resetWebUI": "Повернути початкові",
"resetWebUIDesc1": "Скидання настройок веб-інтерфейсу видаляє лише локальний кеш браузера з вашими зображеннями та налаштуваннями. Це не призводить до видалення зображень з диску.",
@@ -505,7 +488,6 @@
"toast": {
"tempFoldersEmptied": "Тимчасова папка очищена",
"uploadFailed": "Не вдалося завантажити",
- "uploadFailedMultipleImagesDesc": "Можна вставити лише одне зображення (ви спробували вставити декілька)",
"uploadFailedUnableToLoadDesc": "Неможливо завантажити файл",
"downloadImageStarted": "Завантаження зображення почалося",
"imageCopied": "Зображення скопійоване",
@@ -626,7 +608,6 @@
"rotateClockwise": "Обертати за годинниковою стрілкою",
"toggleAutoscroll": "Увімкнути автопрокручування",
"toggleLogViewer": "Показати або приховати переглядач журналів",
- "showGallery": "Показати галерею",
"previousImage": "Попереднє зображення",
"copyMetadataJson": "Скопіювати метадані JSON",
"flipVertically": "Перевернути по вертикалі",
diff --git a/invokeai/frontend/web/public/locales/zh_CN.json b/invokeai/frontend/web/public/locales/zh_CN.json
index d4d7746926..23940542a9 100644
--- a/invokeai/frontend/web/public/locales/zh_CN.json
+++ b/invokeai/frontend/web/public/locales/zh_CN.json
@@ -1,25 +1,21 @@
{
"common": {
"hotkeysLabel": "快捷键",
- "themeLabel": "主题",
"languagePickerLabel": "语言",
- "reportBugLabel": "提交错误报告",
+ "reportBugLabel": "反馈错误",
"settingsLabel": "设置",
- "darkTheme": "暗色",
- "lightTheme": "亮色",
- "greenTheme": "绿色",
- "img2img": "图像到图像",
+ "img2img": "图生图",
"unifiedCanvas": "统一画布",
- "nodes": "节点",
+ "nodes": "工作流编辑器",
"langSimplifiedChinese": "简体中文",
"nodesDesc": "一个基于节点的图像生成系统目前正在开发中。请持续关注关于这一功能的更新。",
"postProcessing": "后期处理",
- "postProcessDesc1": "Invoke AI 提供各种各样的后期处理功能。图像放大和面部修复在网页界面中已经可用。你可以从文本到图像和图像到图像页面的高级选项菜单中访问它们。你也可以直接使用图像显示上方或查看器中的图像操作按钮处理图像。",
+ "postProcessDesc1": "Invoke AI 提供各种各样的后期处理功能。图像放大和面部修复在网页界面中已经可用。你可以从文生图和图生图页面的高级选项菜单中访问它们。你也可以直接使用图像显示上方或查看器中的图像操作按钮处理图像。",
"postProcessDesc2": "一个专门的界面将很快发布，新的界面能够处理更复杂的后期处理流程。",
- "postProcessDesc3": "Invoke AI 命令行界面提供例如Embiggen的各种其他功能。",
+ "postProcessDesc3": "Invoke AI 命令行界面提供例如 Embiggen 的各种其他功能。",
"training": "训练",
- "trainingDesc1": "一个专门用于从网络UI使用Textual Inversion和Dreambooth训练自己的嵌入模型和检查点的工作流程。",
- "trainingDesc2": "InvokeAI已经支持使用主脚本中的Textual Inversion来训练自定义的嵌入模型。",
+ "trainingDesc1": "一个专门用于从 Web UI 使用 Textual Inversion 和 Dreambooth 训练自己的 Embedding 和 checkpoint 的工作流。",
+ "trainingDesc2": "InvokeAI 已经支持使用主脚本中的 Textual Inversion 来训练自定义 embeddouring。",
"upload": "上传",
"close": "关闭",
"load": "加载",
@@ -27,23 +23,74 @@
"statusDisconnected": "未连接",
"statusError": "错误",
"statusPreparing": "准备中",
- "statusProcessingCanceled": "处理取消",
+ "statusProcessingCanceled": "处理已取消",
"statusProcessingComplete": "处理完成",
"statusGenerating": "生成中",
- "statusGeneratingTextToImage": "文字到图像生成中",
- "statusGeneratingImageToImage": "图像到图像生成中",
- "statusGeneratingInpainting": "生成内画中",
- "statusGeneratingOutpainting": "生成外画中",
+ "statusGeneratingTextToImage": "文生图生成中",
+ "statusGeneratingImageToImage": "图生图生成中",
+ "statusGeneratingInpainting": "(Inpainting) 内补生成中",
+ "statusGeneratingOutpainting": "(Outpainting) 外扩生成中",
"statusGenerationComplete": "生成完成",
"statusIterationComplete": "迭代完成",
"statusSavingImage": "图像保存中",
- "statusRestoringFaces": "脸部修复中",
- "statusRestoringFacesGFPGAN": "脸部修复中 (GFPGAN)",
- "statusRestoringFacesCodeFormer": "脸部修复中 (CodeFormer)",
+ "statusRestoringFaces": "面部修复中",
+ "statusRestoringFacesGFPGAN": "面部修复中 (GFPGAN)",
+ "statusRestoringFacesCodeFormer": "面部修复中 (CodeFormer)",
"statusUpscaling": "放大中",
"statusUpscalingESRGAN": "放大中 (ESRGAN)",
"statusLoadingModel": "模型加载中",
- "statusModelChanged": "模型已切换"
+ "statusModelChanged": "模型已切换",
+ "accept": "同意",
+ "cancel": "取消",
+ "dontAskMeAgain": "不要再次询问",
+ "areYouSure": "你确认吗？",
+ "imagePrompt": "图片提示词",
+ "langKorean": "朝鲜语",
+ "langPortuguese": "葡萄牙语",
+ "random": "随机",
+ "generate": "生成",
+ "openInNewTab": "在新的标签页打开",
+ "langUkranian": "乌克兰语",
+ "back": "返回",
+ "statusMergedModels": "模型已合并",
+ "statusConvertingModel": "转换模型中",
+ "statusModelConverted": "模型转换完成",
+ "statusMergingModels": "合并模型",
+ "githubLabel": "GitHub",
+ "discordLabel": "Discord",
+ "langPolish": "波兰语",
+ "langBrPortuguese": "葡萄牙语（巴西）",
+ "langDutch": "荷兰语",
+ "langFrench": "法语",
+ "langRussian": "俄语",
+ "langGerman": "德语",
+ "langHebrew": "希伯来语",
+ "langItalian": "意大利语",
+ "langJapanese": "日语",
+ "langSpanish": "西班牙语",
+ "langEnglish": "英语",
+ "langArabic": "阿拉伯语",
+ "txt2img": "文生图",
+ "postprocessing": "后期处理",
+ "loading": "加载中",
+ "loadingInvokeAI": "Invoke AI 加载中",
+ "linear": "线性的",
+ "batch": "批次管理器",
+ "communityLabel": "社区",
+ "modelManager": "模型管理器",
+ "nodeEditor": "节点编辑器",
+ "statusProcessing": "处理中",
+ "imageFailedToLoad": "无法加载图像",
+ "lightMode": "浅色模式",
+ "learnMore": "了解更多",
+ "darkMode": "深色模式",
+ "advanced": "高级",
+ "t2iAdapter": "T2I Adapter",
+ "ipAdapter": "IP Adapter",
+ "controlAdapter": "Control Adapter",
+ "controlNet": "ControlNet",
+ "on": "开",
+ "auto": "自动"
},
"gallery": {
"generations": "生成的图像",
@@ -53,20 +100,35 @@
"galleryImageSize": "预览大小",
"galleryImageResetSize": "重置预览大小",
"gallerySettings": "预览设置",
- "maintainAspectRatio": "保持比例",
+ "maintainAspectRatio": "保持纵横比",
"autoSwitchNewImages": "自动切换到新图像",
"singleColumnLayout": "单列布局",
- "pinGallery": "保持图库常开",
- "allImagesLoaded": "所有图像加载完成",
+ "allImagesLoaded": "所有图像已加载",
"loadMore": "加载更多",
- "noImagesInGallery": "图库中无图像"
+ "noImagesInGallery": "无图像可用于显示",
+ "deleteImage": "删除图片",
+ "deleteImageBin": "被删除的图片会发送到你操作系统的回收站。",
+ "deleteImagePermanent": "删除的图片无法被恢复。",
+ "images": "图片",
+ "assets": "素材",
+ "autoAssignBoardOnClick": "点击后自动分配面板",
+ "featuresWillReset": "如果您删除该图像，这些功能会立即被重置。",
+ "loading": "加载中",
+ "unableToLoad": "无法加载图库",
+ "currentlyInUse": "该图像目前在以下功能中使用：",
+ "copy": "复制",
+ "download": "下载",
+ "setCurrentImage": "设为当前图像",
+ "preparingDownload": "准备下载",
+ "preparingDownloadFailed": "准备下载时出现问题",
+ "downloadSelection": "下载所选内容"
},
"hotkeys": {
- "keyboardShortcuts": "快捷方式",
- "appHotkeys": "应用快捷方式",
- "generalHotkeys": "一般快捷方式",
- "galleryHotkeys": "图库快捷方式",
- "unifiedCanvasHotkeys": "统一画布快捷方式",
+ "keyboardShortcuts": "键盘快捷键",
+ "appHotkeys": "应用快捷键",
+ "generalHotkeys": "一般快捷键",
+ "galleryHotkeys": "图库快捷键",
+ "unifiedCanvasHotkeys": "统一画布快捷键",
"invoke": {
"title": "Invoke",
"desc": "生成图像"
@@ -76,31 +138,31 @@
"desc": "取消图像生成"
},
"focusPrompt": {
- "title": "打开提示框",
- "desc": "打开提示文本框"
+ "title": "打开提示词框",
+ "desc": "打开提示词文本框"
},
"toggleOptions": {
"title": "切换选项卡",
- "desc": "打开或关闭选项卡"
+ "desc": "打开或关闭选项浮窗"
},
"pinOptions": {
"title": "常开选项卡",
- "desc": "保持选项卡常开"
+ "desc": "保持选项浮窗常开"
},
"toggleViewer": {
- "title": "切换图像视图",
- "desc": "打开或关闭图像视图"
+ "title": "切换图像查看器",
+ "desc": "打开或关闭图像查看器"
},
"toggleGallery": {
"title": "切换图库",
"desc": "打开或关闭图库"
},
"maximizeWorkSpace": {
- "title": "工作台最大化",
+ "title": "工作区最大化",
"desc": "关闭所有浮窗，将工作区域最大化"
},
"changeTabs": {
- "title": "切换卡片",
+ "title": "切换选项卡",
"desc": "切换到另一个工作区"
},
"consoleToggle": {
@@ -108,7 +170,7 @@
"desc": "打开或关闭命令行"
},
"setPrompt": {
- "title": "使用提示",
+ "title": "使用当前提示词",
"desc": "使用当前图像的提示词"
},
"setSeed": {
@@ -116,12 +178,12 @@
"desc": "使用当前图像的种子"
},
"setParameters": {
- "title": "使用所有参数",
+ "title": "使用当前参数",
"desc": "使用当前图像的所有参数"
},
"restoreFaces": {
- "title": "脸部修复",
- "desc": "对当前图像进行脸部修复"
+ "title": "面部修复",
+ "desc": "对当前图像进行面部修复"
},
"upscale": {
"title": "放大",
@@ -132,8 +194,8 @@
"desc": "显示当前图像的元数据"
},
"sendToImageToImage": {
- "title": "送往图像到图像",
- "desc": "将当前图像送往图像到图像"
+ "title": "发送到图生图",
+ "desc": "发送当前图像到图生图"
},
"deleteImage": {
"title": "删除图像",
@@ -145,23 +207,23 @@
},
"previousImage": {
"title": "上一张图像",
- "desc": "显示相册中的上一张图像"
+ "desc": "显示图库中的上一张图像"
},
"nextImage": {
"title": "下一张图像",
- "desc": "显示相册中的下一张图像"
+ "desc": "显示图库中的下一张图像"
},
"toggleGalleryPin": {
"title": "切换图库常开",
"desc": "开关图库在界面中的常开模式"
},
"increaseGalleryThumbSize": {
- "title": "增大预览大小",
- "desc": "增大图库中预览的大小"
+ "title": "增大预览尺寸",
+ "desc": "增大图库中预览的尺寸"
},
"decreaseGalleryThumbSize": {
- "title": "减小预览大小",
- "desc": "减小图库中预览的大小"
+ "title": "缩小预览尺寸",
+ "desc": "缩小图库中预览的尺寸"
},
"selectBrush": {
"title": "选择刷子",
@@ -189,19 +251,19 @@
},
"moveTool": {
"title": "移动工具",
- "desc": "在画布上移动"
+ "desc": "画布允许导航"
},
"fillBoundingBox": {
"title": "填充选择区域",
"desc": "在选择区域中填充刷子颜色"
},
"eraseBoundingBox": {
- "title": "取消选择区域",
- "desc": "将选择区域抹除"
+ "title": "擦除选择框",
+ "desc": "将选择区域擦除"
},
"colorPicker": {
- "title": "颜色提取工具",
- "desc": "选择颜色提取工具"
+ "title": "选择颜色拾取工具",
+ "desc": "选择画布颜色拾取工具"
},
"toggleSnap": {
"title": "切换网格对齐",
@@ -217,7 +279,7 @@
},
"clearMask": {
"title": "清除遮罩",
- "desc": "清除整个遮罩层"
+ "desc": "清除整个遮罩"
},
"hideMask": {
"title": "隐藏遮罩",
@@ -233,7 +295,7 @@
},
"saveToGallery": {
"title": "保存至图库",
- "desc": "将画板当前内容保存至图库"
+ "desc": "将画布当前内容保存至图库"
},
"copyToClipboard": {
"title": "复制到剪贴板",
@@ -253,7 +315,7 @@
},
"resetView": {
"title": "重置视图",
- "desc": "重置画板视图"
+ "desc": "重置画布视图"
},
"previousStagingImage": {
"title": "上一张暂存图像",
@@ -266,12 +328,17 @@
"acceptStagingImage": {
"title": "接受暂存图像",
"desc": "接受当前暂存区中的图像"
+ },
+ "nodesHotkeys": "节点快捷键",
+ "addNodes": {
+ "title": "添加节点",
+ "desc": "打开添加节点菜单"
}
},
"modelManager": {
"modelManager": "模型管理器",
"model": "模型",
- "modelAdded": "模型已添加",
+ "modelAdded": "已添加模型",
"modelUpdated": "模型已更新",
"modelEntryDeleted": "模型已删除",
"cannotUseSpaces": "不能使用空格",
@@ -284,30 +351,30 @@
"description": "描述",
"descriptionValidationMsg": "添加模型的描述",
"config": "配置",
- "configValidationMsg": "模型配置文件的路径",
+ "configValidationMsg": "模型配置文件的路径。",
"modelLocation": "模型位置",
- "modelLocationValidationMsg": "模型文件的路径",
+ "modelLocationValidationMsg": "提供 Diffusers 模型文件的本地存储路径",
"vaeLocation": "VAE 位置",
- "vaeLocationValidationMsg": "VAE 文件的路径",
+ "vaeLocationValidationMsg": "VAE 文件的路径。",
"width": "宽度",
- "widthValidationMsg": "模型的默认宽度",
+ "widthValidationMsg": "模型的默认宽度。",
"height": "高度",
- "heightValidationMsg": "模型的默认高度",
+ "heightValidationMsg": "模型的默认高度。",
"addModel": "添加模型",
"updateModel": "更新模型",
"availableModels": "可用模型",
- "search": "搜索",
+ "search": "检索",
"load": "加载",
"active": "活跃",
"notLoaded": "未加载",
"cached": "缓存",
"checkpointFolder": "模型检查点文件夹",
- "clearCheckpointFolder": "清除模型检查点文件夹",
+ "clearCheckpointFolder": "清除 Checkpoint 模型文件夹",
"findModels": "寻找模型",
"modelsFound": "找到的模型",
"selectFolder": "选择文件夹",
"selected": "已选择",
- "selectAll": "选择所有",
+ "selectAll": "全选",
"deselectAll": "取消选择所有",
"showExisting": "显示已存在",
"addSelected": "添加选择",
@@ -315,8 +382,100 @@
"delete": "删除",
"deleteModel": "删除模型",
"deleteConfig": "删除配置",
- "deleteMsg1": "您确定要将这个模型从 InvokeAI 删除吗？",
- "deleteMsg2": "这不会从磁盘中删除模型检查点文件。如果您愿意，可以重新添加它们。"
+ "deleteMsg1": "您确定要将该模型从 InvokeAI 删除吗？",
+ "deleteMsg2": "磁盘中放置在 InvokeAI 根文件夹的 checkpoint 文件会被删除。若你正在使用自定义目录，则不会从磁盘中删除他们。",
+ "convertToDiffusersHelpText1": "模型会被转换成 🧨 Diffusers 格式。",
+ "convertToDiffusersHelpText2": "这个过程会替换你的模型管理器的入口中相同 Diffusers 版本的模型。",
+ "mergedModelSaveLocation": "保存路径",
+ "mergedModelCustomSaveLocation": "自定义路径",
+ "checkpointModels": "Checkpoints",
+ "formMessageDiffusersVAELocation": "VAE 路径",
+ "convertToDiffusersHelpText4": "这是一次性的处理过程。根据你电脑的配置不同耗时 30 - 60 秒。",
+ "convertToDiffusersHelpText6": "你希望转换这个模型吗？",
+ "interpolationType": "插值类型",
+ "modelTwo": "模型 2",
+ "modelThree": "模型 3",
+ "v2_768": "v2 (768px)",
+ "mergedModelName": "合并的模型名称",
+ "allModels": "全部模型",
+ "convertToDiffusers": "转换为 Diffusers",
+ "formMessageDiffusersModelLocation": "Diffusers 模型路径",
+ "custom": "自定义",
+ "formMessageDiffusersVAELocationDesc": "如果没有特别指定，InvokeAI 会从上面指定的模型路径中寻找 VAE 文件。",
+ "safetensorModels": "SafeTensors",
+ "modelsMerged": "模型合并完成",
+ "mergeModels": "合并模型",
+ "modelOne": "模型 1",
+ "diffusersModels": "Diffusers",
+ "scanForModels": "扫描模型",
+ "repo_id": "项目 ID",
+ "repoIDValidationMsg": "你的模型的在线项目地址",
+ "v1": "v1",
+ "invokeRoot": "InvokeAI 文件夹",
+ "inpainting": "v1 Inpainting",
+ "customSaveLocation": "自定义保存路径",
+ "scanAgain": "重新扫描",
+ "customConfig": "个性化配置",
+ "pathToCustomConfig": "个性化配置路径",
+ "modelConverted": "模型已转换",
+ "statusConverting": "转换中",
+ "sameFolder": "相同文件夹",
+ "invokeAIFolder": "Invoke AI 文件夹",
+ "ignoreMismatch": "忽略所选模型之间的不匹配",
+ "modelMergeHeaderHelp1": "您可以合并最多三种不同的模型，以创建符合您需求的混合模型。",
+ "modelMergeHeaderHelp2": "只有扩散器（Diffusers）可以用于模型合并。如果您想要合并一个检查点模型，请先将其转换为扩散器。",
+ "addCheckpointModel": "添加 Checkpoint / Safetensor 模型",
+ "addDiffuserModel": "添加 Diffusers 模型",
+ "vaeRepoID": "VAE 项目 ID",
+ "vaeRepoIDValidationMsg": "VAE 模型在线仓库地址",
+ "selectAndAdd": "选择下表中的模型并添加",
+ "noModelsFound": "未有找到模型",
+ "formMessageDiffusersModelLocationDesc": "请至少输入一个。",
+ "convertToDiffusersSaveLocation": "保存路径",
+ "convertToDiffusersHelpText3": "磁盘中放置在 InvokeAI 根文件夹的 checkpoint 文件会被删除. 若位于自定义目录, 则不会受影响.",
+ "v2_base": "v2 (512px)",
+ "convertToDiffusersHelpText5": "请确认你有足够的磁盘空间，模型大小通常在 2 GB - 7 GB 之间。",
+ "convert": "转换",
+ "merge": "合并",
+ "pickModelType": "选择模型类型",
+ "addDifference": "增加差异",
+ "none": "无",
+ "inverseSigmoid": "反 Sigmoid 函数",
+ "weightedSum": "加权求和",
+ "modelMergeAlphaHelp": "Alpha 参数控制模型的混合强度。较低的 Alpha 值会导致第二个模型的影响减弱。",
+ "sigmoid": "Sigmoid 函数",
+ "modelMergeInterpAddDifferenceHelp": "在这种模式下，首先从模型 2 中减去模型 3，得到的版本再用上述的 Alpha 值与模型1进行混合。",
+ "modelsSynced": "模型已同步",
+ "modelSyncFailed": "模型同步失败",
+ "modelDeleteFailed": "模型删除失败",
+ "syncModelsDesc": "如果您的模型与后端不同步，您可以使用此选项刷新它们。便于您在应用程序启动的情况下手动更新 models.yaml 文件或将模型添加到 InvokeAI 根文件夹。",
+ "selectModel": "选择模型",
+ "importModels": "导入模型",
+ "settings": "设置",
+ "syncModels": "同步模型",
+ "noCustomLocationProvided": "未提供自定义路径",
+ "modelDeleted": "模型已删除",
+ "modelUpdateFailed": "模型更新失败",
+ "modelConversionFailed": "模型转换失败",
+ "modelsMergeFailed": "模型融合失败",
+ "baseModel": "基底模型",
+ "convertingModelBegin": "模型转换中. 请稍候.",
+ "noModels": "未找到模型",
+ "predictionType": "预测类型（适用于 Stable Diffusion 2.x 模型和部分 Stable Diffusion 1.x 模型）",
+ "quickAdd": "快速添加",
+ "simpleModelDesc": "提供一个指向本地 Diffusers 模型的路径，本地 checkpoint / safetensors 模型或一个HuggingFace 项目 ID，又或者一个 checkpoint/diffusers 模型链接。",
+ "advanced": "高级",
+ "useCustomConfig": "使用自定义配置",
+ "closeAdvanced": "关闭高级",
+ "modelType": "模型类别",
+ "customConfigFileLocation": "自定义配置文件目录",
+ "variant": "变体",
+ "onnxModels": "Onnx",
+ "vae": "VAE",
+ "oliveModels": "Olive",
+ "loraModels": "LoRA",
+ "alpha": "Alpha",
+ "vaePrecision": "VAE 精度"
},
"parameters": {
"images": "图像",
@@ -324,113 +483,255 @@
"cfgScale": "CFG 等级",
"width": "宽度",
"height": "高度",
- "sampler": "采样算法",
"seed": "种子",
"randomizeSeed": "随机化种子",
- "shuffle": "随机化",
+ "shuffle": "随机生成种子",
"noiseThreshold": "噪声阈值",
"perlinNoise": "Perlin 噪声",
"variations": "变种",
"variationAmount": "变种数量",
"seedWeights": "种子权重",
- "faceRestoration": "脸部修复",
- "restoreFaces": "修复脸部",
+ "faceRestoration": "面部修复",
+ "restoreFaces": "修复面部",
"type": "种类",
"strength": "强度",
"upscaling": "放大",
- "upscale": "放大",
+ "upscale": "放大 (Shift + U)",
"upscaleImage": "放大图像",
"scale": "等级",
"otherOptions": "其他选项",
"seamlessTiling": "无缝拼贴",
- "hiresOptim": "高清优化",
- "imageFit": "使生成图像长宽适配原图像",
- "codeformerFidelity": "保真",
- "seamSize": "接缝尺寸",
- "seamBlur": "接缝模糊",
- "seamStrength": "接缝强度",
- "seamSteps": "接缝步数",
+ "hiresOptim": "高分辨率优化",
+ "imageFit": "使生成图像长宽适配初始图像",
+ "codeformerFidelity": "保真度",
"scaleBeforeProcessing": "处理前缩放",
"scaledWidth": "缩放宽度",
"scaledHeight": "缩放长度",
- "infillMethod": "填充法",
+ "infillMethod": "填充方法",
"tileSize": "方格尺寸",
"boundingBoxHeader": "选择区域",
"seamCorrectionHeader": "接缝修正",
"infillScalingHeader": "内填充和缩放",
- "img2imgStrength": "图像到图像强度",
+ "img2imgStrength": "图生图强度",
"toggleLoopback": "切换环回",
- "invoke": "Invoke",
- "promptPlaceholder": "在这里输入提示。可以使用[反提示]、(加权)++、(减权)--、交换和混合（见文档）",
"sendTo": "发送到",
- "sendToImg2Img": "发送到图像到图像",
+ "sendToImg2Img": "发送到图生图",
"sendToUnifiedCanvas": "发送到统一画布",
"copyImageToLink": "复制图像链接",
"downloadImage": "下载图像",
- "openInViewer": "在视图中打开",
- "closeViewer": "关闭视图",
+ "openInViewer": "在查看器中打开",
+ "closeViewer": "关闭查看器",
"usePrompt": "使用提示",
"useSeed": "使用种子",
"useAll": "使用所有参数",
- "useInitImg": "使用原图像",
+ "useInitImg": "使用初始图像",
"info": "信息",
- "deleteImage": "删除图像",
- "initialImage": "原图像",
- "showOptionsPanel": "显示选项浮窗"
+ "initialImage": "初始图像",
+ "showOptionsPanel": "显示侧栏浮窗 (O 或 T)",
+ "seamlessYAxis": "Y 轴",
+ "seamlessXAxis": "X 轴",
+ "boundingBoxWidth": "边界框宽度",
+ "boundingBoxHeight": "边界框高度",
+ "denoisingStrength": "去噪强度",
+ "vSymmetryStep": "纵向对称步数",
+ "cancel": {
+ "immediate": "立即取消",
+ "isScheduled": "取消中",
+ "schedule": "当前迭代后取消",
+ "setType": "设定取消类型",
+ "cancel": "取消"
+ },
+ "copyImage": "复制图片",
+ "showPreview": "显示预览",
+ "symmetry": "对称性",
+ "positivePromptPlaceholder": "正向提示词",
+ "negativePromptPlaceholder": "负向提示词",
+ "scheduler": "调度器",
+ "general": "通用",
+ "hiresStrength": "高分辨强度",
+ "hidePreview": "隐藏预览",
+ "hSymmetryStep": "横向对称步数",
+ "imageToImage": "图生图",
+ "noiseSettings": "噪音",
+ "controlNetControlMode": "控制模式",
+ "maskAdjustmentsHeader": "遮罩调整",
+ "maskBlur": "模糊",
+ "maskBlurMethod": "模糊方式",
+ "aspectRatio": "纵横比",
+ "seamLowThreshold": "降低",
+ "seamHighThreshold": "提升",
+ "invoke": {
+ "noNodesInGraph": "节点图中无节点",
+ "noModelSelected": "无已选中的模型",
+ "invoke": "调用",
+ "systemBusy": "系统繁忙",
+ "noInitialImageSelected": "无选中的初始图像",
+ "missingInputForField": "{{nodeLabel}} -> {{fieldLabel}} 缺失输入",
+ "unableToInvoke": "无法调用",
+ "systemDisconnected": "系统已断开连接",
+ "missingNodeTemplate": "缺失节点模板",
+ "missingFieldTemplate": "缺失模板",
+ "addingImagesTo": "添加图像到",
+ "noPrompts": "没有已生成的提示词",
+ "readyToInvoke": "准备调用",
+ "noControlImageForControlAdapter": "有 #{{number}} 个 Control Adapter 缺失控制图像",
+ "noModelForControlAdapter": "有 #{{number}} 个 Control Adapter 没有选择模型。",
+ "incompatibleBaseModelForControlAdapter": "有 #{{number}} 个 Control Adapter 模型与主模型不匹配。"
+ },
+ "patchmatchDownScaleSize": "缩小",
+ "coherenceSteps": "步数",
+ "clipSkip": "CLIP 跳过层",
+ "compositingSettingsHeader": "合成设置",
+ "useCpuNoise": "使用 CPU 噪声",
+ "coherenceStrength": "强度",
+ "enableNoiseSettings": "启用噪声设置",
+ "coherenceMode": "模式",
+ "cpuNoise": "CPU 噪声",
+ "gpuNoise": "GPU 噪声",
+ "clipSkipWithLayerCount": "CLIP 跳过 {{layerCount}} 层",
+ "coherencePassHeader": "一致性层",
+ "manualSeed": "手动设定种子",
+ "imageActions": "图像操作",
+ "randomSeed": "随机种子",
+ "iterations": "迭代数",
+ "isAllowedToUpscale": {
+ "useX2Model": "图像太大，无法使用 x4 模型，使用 x2 模型作为替代",
+ "tooLarge": "图像太大无法进行放大，请选择更小的图像"
+ },
+ "iterationsWithCount_other": "{{count}} 次迭代生成",
+ "seamlessX&Y": "无缝 X & Y",
+ "aspectRatioFree": "自由",
+ "seamlessX": "无缝 X",
+ "seamlessY": "无缝 Y"
},
"settings": {
"models": "模型",
- "displayInProgress": "显示进行中的图像",
+ "displayInProgress": "显示处理中的图像",
"saveSteps": "每n步保存图像",
"confirmOnDelete": "删除时确认",
"displayHelpIcons": "显示帮助按钮",
- "useCanvasBeta": "使用测试版画布视图",
"enableImageDebugging": "开启图像调试",
"resetWebUI": "重置网页界面",
"resetWebUIDesc1": "重置网页只会重置浏览器中缓存的图像和设置，不会删除任何图像。",
"resetWebUIDesc2": "如果图像没有显示在图库中，或者其他东西不工作，请在GitHub上提交问题之前尝试重置。",
- "resetComplete": "网页界面已重置。刷新页面以重新加载。"
+ "resetComplete": "网页界面已重置。",
+ "showProgressInViewer": "在查看器中展示过程图片",
+ "antialiasProgressImages": "对过程图像应用抗锯齿",
+ "generation": "生成",
+ "ui": "用户界面",
+ "useSlidersForAll": "对所有参数使用滑动条设置",
+ "general": "通用",
+ "consoleLogLevel": "日志等级",
+ "shouldLogToConsole": "终端日志",
+ "developer": "开发者",
+ "alternateCanvasLayout": "切换统一画布布局",
+ "enableNodesEditor": "启用节点编辑器",
+ "favoriteSchedulersPlaceholder": "没有偏好的采样算法",
+ "showAdvancedOptions": "显示进阶选项",
+ "favoriteSchedulers": "采样算法偏好",
+ "autoChangeDimensions": "更改时将宽/高更新为模型默认值",
+ "experimental": "实验性",
+ "beta": "Beta",
+ "clearIntermediates": "清除中间产物",
+ "clearIntermediatesDesc3": "您图库中的图像不会被删除。",
+ "clearIntermediatesDesc2": "中间产物图像是生成过程中产生的副产品，与图库中的结果图像不同。清除中间产物可释放磁盘空间。",
+ "intermediatesCleared_other": "已清除 {{count}} 个中间产物",
+ "clearIntermediatesDesc1": "清除中间产物会重置您的画布和 ControlNet 状态。",
+ "intermediatesClearedFailed": "清除中间产物时出现问题",
+ "clearIntermediatesWithCount_other": "清除 {{count}} 个中间产物",
+ "clearIntermediatesDisabled": "队列为空才能清理中间产物"
},
"toast": {
"tempFoldersEmptied": "临时文件夹已清空",
"uploadFailed": "上传失败",
- "uploadFailedMultipleImagesDesc": "多张图像被粘贴，同时只能上传一张图像",
"uploadFailedUnableToLoadDesc": "无法加载文件",
- "downloadImageStarted": "图像下载已开始",
+ "downloadImageStarted": "图像已开始下载",
"imageCopied": "图像已复制",
"imageLinkCopied": "图像链接已复制",
"imageNotLoaded": "没有加载图像",
- "imageNotLoadedDesc": "没有图像可供送往图像到图像界面",
+ "imageNotLoadedDesc": "找不到图片",
"imageSavedToGallery": "图像已保存到图库",
"canvasMerged": "画布已合并",
- "sentToImageToImage": "已送往图像到图像",
- "sentToUnifiedCanvas": "已送往统一画布",
+ "sentToImageToImage": "已发送到图生图",
+ "sentToUnifiedCanvas": "已发送到统一画布",
"parametersSet": "参数已设定",
"parametersNotSet": "参数未设定",
- "parametersNotSetDesc": "此图像不存在元数据",
+ "parametersNotSetDesc": "此图像不存在元数据。",
"parametersFailed": "加载参数失败",
- "parametersFailedDesc": "加载初始图像失败",
+ "parametersFailedDesc": "加载初始图像失败。",
"seedSet": "种子已设定",
"seedNotSet": "种子未设定",
- "seedNotSetDesc": "无法找到该图像的种子",
- "promptSet": "提示已设定",
- "promptNotSet": "提示未设定",
- "promptNotSetDesc": "无法找到该图像的提示",
+ "seedNotSetDesc": "无法找到该图像的种子。",
+ "promptSet": "提示词已设定",
+ "promptNotSet": "提示词未设定",
+ "promptNotSetDesc": "无法找到该图像的提示词。",
"upscalingFailed": "放大失败",
- "faceRestoreFailed": "脸部修复失败",
+ "faceRestoreFailed": "面部修复失败",
"metadataLoadFailed": "加载元数据失败",
"initialImageSet": "初始图像已设定",
"initialImageNotSet": "初始图像未设定",
- "initialImageNotSetDesc": "无法加载初始图像"
+ "initialImageNotSetDesc": "无法加载初始图像",
+ "problemCopyingImageLink": "无法复制图片链接",
+ "uploadFailedInvalidUploadDesc": "必须是单张的 PNG 或 JPEG 图片",
+ "disconnected": "服务器断开",
+ "connected": "服务器连接",
+ "parameterSet": "参数已设定",
+ "parameterNotSet": "参数未设定",
+ "serverError": "服务器错误",
+ "canceled": "处理取消",
+ "nodesLoaded": "节点已加载",
+ "nodesSaved": "节点已保存",
+ "problemCopyingImage": "无法复制图像",
+ "nodesCorruptedGraph": "无法加载。节点图似乎已损坏。",
+ "nodesBrokenConnections": "无法加载。部分连接已断开。",
+ "nodesUnrecognizedTypes": "无法加载。节点图有无法识别的节点类型",
+ "nodesNotValidJSON": "无效的 JSON",
+ "nodesNotValidGraph": "无效的 InvokeAi 节点图",
+ "nodesCleared": "节点已清空",
+ "nodesLoadedFailed": "节点图加载失败",
+ "modelAddedSimple": "已添加模型",
+ "modelAdded": "已添加模型: {{modelName}}",
+ "imageSavingFailed": "图像保存失败",
+ "canvasSentControlnetAssets": "画布已发送到 ControlNet & 素材",
+ "problemCopyingCanvasDesc": "无法导出基础层",
+ "loadedWithWarnings": "已加载带有警告的工作流",
+ "setInitialImage": "设为初始图像",
+ "canvasCopiedClipboard": "画布已复制到剪贴板",
+ "setControlImage": "设为控制图像",
+ "setNodeField": "设为节点字段",
+ "problemSavingMask": "保存遮罩时出现问题",
+ "problemSavingCanvasDesc": "无法导出基础层",
+ "maskSavedAssets": "遮罩已保存到素材",
+ "modelAddFailed": "模型添加失败",
+ "problemDownloadingCanvas": "下载画布时出现问题",
+ "problemMergingCanvas": "合并画布时出现问题",
+ "setCanvasInitialImage": "设为画布初始图像",
+ "imageUploaded": "图像已上传",
+ "addedToBoard": "已添加到面板",
+ "workflowLoaded": "工作流已加载",
+ "problemImportingMaskDesc": "无法导出遮罩",
+ "problemCopyingCanvas": "复制画布时出现问题",
+ "problemSavingCanvas": "保存画布时出现问题",
+ "canvasDownloaded": "画布已下载",
+ "setIPAdapterImage": "设为 IP Adapter 图像",
+ "problemMergingCanvasDesc": "无法导出基础层",
+ "problemDownloadingCanvasDesc": "无法导出基础层",
+ "problemSavingMaskDesc": "无法导出遮罩",
+ "imageSaved": "图像已保存",
+ "maskSentControlnetAssets": "遮罩已发送到 ControlNet & 素材",
+ "canvasSavedGallery": "画布已保存到图库",
+ "imageUploadFailed": "图像上传失败",
+ "problemImportingMask": "导入遮罩时出现问题",
+ "baseModelChangedCleared_other": "基础模型已更改, 已清除或禁用 {{count}} 个不兼容的子模型"
},
"unifiedCanvas": {
"layer": "图层",
"base": "基础层",
- "mask": "遮罩层层",
- "maskingOptions": "遮罩层选项",
- "enableMask": "启用遮罩层",
- "preserveMaskedArea": "保留遮罩层区域",
- "clearMask": "清除遮罩层",
+ "mask": "遮罩",
+ "maskingOptions": "遮罩选项",
+ "enableMask": "启用遮罩",
+ "preserveMaskedArea": "保留遮罩区域",
+ "clearMask": "清除遮罩",
"brush": "刷子",
"eraser": "橡皮擦",
"fillBoundingBox": "填充选择区域",
@@ -455,10 +756,10 @@
"autoSaveToGallery": "自动保存至图库",
"saveBoxRegionOnly": "只保存框内区域",
"limitStrokesToBox": "限制画笔在框内",
- "showCanvasDebugInfo": "显示画布调试信息",
+ "showCanvasDebugInfo": "显示附加画布信息",
"clearCanvasHistory": "清除画布历史",
"clearHistory": "清除历史",
- "clearCanvasHistoryMessage": "清除画布历史不会影响当前画布，但会不可撤销地清除所有撤销/重做历史！",
+ "clearCanvasHistoryMessage": "清除画布历史不会影响当前画布，但会不可撤销地清除所有撤销/重做历史。",
"clearCanvasHistoryConfirm": "确认清除所有画布历史？",
"emptyTempImageFolder": "清除临时文件夹",
"emptyFolder": "清除文件夹",
@@ -480,7 +781,10 @@
"betaClear": "清除",
"betaDarkenOutside": "暗化外部区域",
"betaLimitToBox": "限制在框内",
- "betaPreserveMasked": "保留遮罩层"
+ "betaPreserveMasked": "保留遮罩层",
+ "antialiasing": "抗锯齿",
+ "showResultsOn": "显示结果 (开)",
+ "showResultsOff": "显示结果 (关)"
},
"accessibility": {
"modelSelect": "模型选择",
@@ -490,13 +794,710 @@
"useThisParameter": "使用此参数",
"uploadImage": "上传图片",
"previousImage": "上一张图片",
- "copyMetadataJson": "复制JSON元数据",
- "exitViewer": "退出视口（ExitViewer）",
+ "copyMetadataJson": "复制 JSON 元数据",
+ "exitViewer": "退出查看器",
"zoomIn": "放大",
"zoomOut": "缩小",
"rotateCounterClockwise": "逆时针旋转",
"rotateClockwise": "顺时针旋转",
"flipHorizontally": "水平翻转",
- "flipVertically": "垂直翻转"
+ "flipVertically": "垂直翻转",
+ "showOptionsPanel": "显示侧栏浮窗",
+ "toggleLogViewer": "切换日志查看器",
+ "modifyConfig": "修改配置",
+ "toggleAutoscroll": "切换自动缩放",
+ "menu": "菜单",
+ "showGalleryPanel": "显示图库浮窗",
+ "loadMore": "加载更多"
+ },
+ "ui": {
+ "showProgressImages": "显示处理中的图片",
+ "hideProgressImages": "隐藏处理中的图片",
+ "swapSizes": "XY 尺寸互换",
+ "lockRatio": "锁定纵横比"
+ },
+ "tooltip": {
+ "feature": {
+ "prompt": "这是提示词区域。提示词包括生成对象和风格术语。您也可以在提示词中添加权重（Token 的重要性），但命令行命令和参数不起作用。",
+ "imageToImage": "图生图模式加载任何图像作为初始图像，然后与提示词一起用于生成新图像。值越高，结果图像的变化就越大。可能的值为 0.0 到 1.0，建议的范围是 0.25 到 0.75",
+ "upscale": "使用 ESRGAN 可以在图片生成后立即放大图片。",
+ "variations": "尝试将变化值设置在 0.1 到 1.0 之间，以更改给定种子的结果。种子的变化在 0.1 到 0.3 之间会很有趣。",
+ "boundingBox": "边界框的高和宽的设定对文生图和图生图模式是一样的，只有边界框中的区域会被处理。",
+ "other": "这些选项将为 Invoke 启用替代处理模式。 \"无缝拼贴\" 将在输出中创建重复图案。\"高分辨率\" 是通过图生图进行两步生成：当您想要更大、更连贯且不带伪影的图像时，请使用此设置。这将比通常的文生图需要更长的时间。",
+ "faceCorrection": "使用 GFPGAN 或 Codeformer 进行人脸校正：该算法会检测图像中的人脸并纠正任何缺陷。较高的值将更改图像，并产生更有吸引力的人脸。在保留较高保真度的情况下使用 Codeformer 将导致更强的人脸校正，同时也会保留原始图像。",
+ "gallery": "图片库展示输出文件夹中的图片，设置和文件一起储存，可以通过内容菜单访问。",
+ "seed": "种子值影响形成图像的初始噪声。您可以使用以前图像中已存在的种子。 “噪声阈值”用于减轻在高 CFG 等级（尝试 0 - 10 范围）下的伪像，并使用 Perlin 在生成过程中添加 Perlin 噪声：这两者都可以为您的输出添加变化。",
+ "seamCorrection": "控制在画布上生成的图像之间出现的可见接缝的处理方式。",
+ "infillAndScaling": "管理填充方法（用于画布的遮罩或擦除区域）和缩放（对于较小的边界框大小非常有用）。"
+ }
+ },
+ "nodes": {
+ "zoomInNodes": "放大",
+ "resetWorkflowDesc": "是否确定要清空节点图?",
+ "resetWorkflow": "清空节点图",
+ "loadWorkflow": "读取节点图",
+ "zoomOutNodes": "缩小",
+ "resetWorkflowDesc2": "重置节点图将清除所有节点、边际和节点图详情.",
+ "reloadNodeTemplates": "重载节点模板",
+ "hideGraphNodes": "隐藏节点图信息",
+ "fitViewportNodes": "自适应视图",
+ "showMinimapnodes": "显示缩略图",
+ "hideMinimapnodes": "隐藏缩略图",
+ "showLegendNodes": "显示字段类型图例",
+ "hideLegendNodes": "隐藏字段类型图例",
+ "showGraphNodes": "显示节点图信息",
+ "downloadWorkflow": "下载节点图 JSON",
+ "workflowDescription": "简述",
+ "versionUnknown": " 未知版本",
+ "noNodeSelected": "无选中的节点",
+ "addNode": "添加节点",
+ "unableToValidateWorkflow": "无法验证工作流",
+ "noOutputRecorded": "无已记录输出",
+ "updateApp": "升级 App",
+ "colorCodeEdgesHelp": "根据连接区域对边缘编码颜色",
+ "workflowContact": "联系",
+ "animatedEdges": "边缘动效",
+ "nodeTemplate": "节点模板",
+ "pickOne": "选择一个",
+ "unableToLoadWorkflow": "无法验证工作流",
+ "snapToGrid": "对齐网格",
+ "noFieldsLinearview": "线性视图中未添加任何字段",
+ "nodeSearch": "检索节点",
+ "version": "版本",
+ "validateConnections": "验证连接和节点图",
+ "inputMayOnlyHaveOneConnection": "输入仅能有一个连接",
+ "notes": "节点",
+ "nodeOutputs": "节点输出",
+ "currentImageDescription": "在节点编辑器中显示当前图像",
+ "validateConnectionsHelp": "防止建立无效连接和调用无效节点图",
+ "problemSettingTitle": "设定标题时出现问题",
+ "noConnectionInProgress": "没有正在进行的连接",
+ "workflowVersion": "版本",
+ "noConnectionData": "无连接数据",
+ "fieldTypesMustMatch": "类型必须匹配",
+ "workflow": "工作流",
+ "unkownInvocation": "未知调用类型",
+ "animatedEdgesHelp": "为选中边缘和其连接的选中节点的边缘添加动画",
+ "unknownTemplate": "未知模板",
+ "removeLinearView": "从线性视图中移除",
+ "workflowTags": "标签",
+ "fullyContainNodesHelp": "节点必须完全位于选择框中才能被选中",
+ "workflowValidation": "工作流验证错误",
+ "noMatchingNodes": "无相匹配的节点",
+ "executionStateInProgress": "处理中",
+ "noFieldType": "无字段类型",
+ "executionStateError": "错误",
+ "executionStateCompleted": "已完成",
+ "workflowAuthor": "作者",
+ "currentImage": "当前图像",
+ "workflowName": "名称",
+ "cannotConnectInputToInput": "无法将输入连接到输入",
+ "workflowNotes": "节点",
+ "cannotConnectOutputToOutput": "无法将输出连接到输出",
+ "connectionWouldCreateCycle": "连接将创建一个循环",
+ "cannotConnectToSelf": "无法连接自己",
+ "notesDescription": "添加有关您的工作流的节点",
+ "unknownField": "未知",
+ "colorCodeEdges": "边缘颜色编码",
+ "unknownNode": "未知节点",
+ "addNodeToolTip": "添加节点 (Shift+A, Space)",
+ "loadingNodes": "加载节点中...",
+ "snapToGridHelp": "移动时将节点与网格对齐",
+ "workflowSettings": "工作流编辑器设置",
+ "booleanPolymorphicDescription": "一个布尔值合集。",
+ "scheduler": "调度器",
+ "inputField": "输入",
+ "controlFieldDescription": "节点间传递的控制信息。",
+ "skippingUnknownOutputType": "跳过未知类型的输出",
+ "latentsFieldDescription": "Latents 可以在节点间传递。",
+ "denoiseMaskFieldDescription": "去噪遮罩可以在节点间传递",
+ "missingTemplate": "缺失模板",
+ "outputSchemaNotFound": "未找到输出模式",
+ "latentsPolymorphicDescription": "Latents 可以在节点间传递。",
+ "colorFieldDescription": "一种 RGBA 颜色。",
+ "mainModelField": "模型",
+ "unhandledInputProperty": "未处理的输入属性",
+ "maybeIncompatible": "可能与已安装的不兼容",
+ "collectionDescription": "待办事项",
+ "skippingReservedFieldType": "跳过保留类型",
+ "booleanCollectionDescription": "一个布尔值合集。",
+ "sDXLMainModelFieldDescription": "SDXL 模型。",
+ "boardField": "面板",
+ "problemReadingWorkflow": "从图像读取工作流时出现问题",
+ "sourceNode": "源节点",
+ "nodeOpacity": "节点不透明度",
+ "collectionItemDescription": "待办事项",
+ "integerDescription": "整数是没有与小数点的数字。",
+ "outputField": "输出",
+ "skipped": "跳过",
+ "updateNode": "更新节点",
+ "sDXLRefinerModelFieldDescription": "待办事项",
+ "imagePolymorphicDescription": "一个图像合集。",
+ "doesNotExist": "不存在",
+ "unableToParseNode": "无法解析节点",
+ "controlCollection": "控制合集",
+ "collectionItem": "项目合集",
+ "controlCollectionDescription": "节点间传递的控制信息。",
+ "skippedReservedInput": "跳过保留的输入",
+ "outputFields": "输出",
+ "edge": "边缘",
+ "inputNode": "输入节点",
+ "enumDescription": "枚举 (Enums) 可能是多个选项的一个数值。",
+ "loRAModelFieldDescription": "待办事项",
+ "imageField": "图像",
+ "skippedReservedOutput": "跳过保留的输出",
+ "noWorkflow": "无工作流",
+ "colorCollectionDescription": "待办事项",
+ "colorPolymorphicDescription": "一个颜色合集。",
+ "sDXLMainModelField": "SDXL 模型",
+ "denoiseMaskField": "去噪遮罩",
+ "schedulerDescription": "待办事项",
+ "missingCanvaInitImage": "缺失画布初始图像",
+ "clipFieldDescription": "词元分析器和文本编码器的子模型。",
+ "noImageFoundState": "状态中未发现初始图像",
+ "nodeType": "节点类型",
+ "fullyContainNodes": "完全包含节点来进行选择",
+ "noOutputSchemaName": "在 ref 对象中找不到输出模式名称",
+ "vaeModelFieldDescription": "待办事项",
+ "skippingInputNoTemplate": "跳过无模板的输入",
+ "missingCanvaInitMaskImages": "缺失初始化画布和遮罩图像",
+ "problemReadingMetadata": "从图像读取元数据时出现问题",
+ "oNNXModelField": "ONNX 模型",
+ "node": "节点",
+ "skippingUnknownInputType": "跳过未知类型的输入",
+ "booleanDescription": "布尔值为真或为假。",
+ "collection": "合集",
+ "invalidOutputSchema": "无效的输出模式",
+ "boardFieldDescription": "图库面板",
+ "floatDescription": "浮点数是带小数点的数字。",
+ "unhandledOutputProperty": "未处理的输出属性",
+ "string": "字符串",
+ "inputFields": "输入",
+ "uNetFieldDescription": "UNet 子模型。",
+ "mismatchedVersion": "不匹配的版本",
+ "vaeFieldDescription": "Vae 子模型。",
+ "imageFieldDescription": "图像可以在节点间传递。",
+ "outputNode": "输出节点",
+ "mainModelFieldDescription": "待办事项",
+ "sDXLRefinerModelField": "Refiner 模型",
+ "unableToParseEdge": "无法解析边缘",
+ "latentsCollectionDescription": "Latents 可以在节点间传递。",
+ "oNNXModelFieldDescription": "ONNX 模型。",
+ "cannotDuplicateConnection": "无法创建重复的连接",
+ "ipAdapterModel": "IP-Adapter 模型",
+ "ipAdapterDescription": "图像提示词自适应 (IP-Adapter)。",
+ "ipAdapterModelDescription": "IP-Adapter 模型",
+ "floatCollectionDescription": "一个浮点数合集。",
+ "enum": "Enum (枚举)",
+ "integerPolymorphicDescription": "一个整数值合集。",
+ "float": "浮点",
+ "integer": "整数",
+ "colorField": "颜色",
+ "stringCollectionDescription": "一个字符串合集。",
+ "stringCollection": "字符串合集",
+ "uNetField": "UNet",
+ "integerCollection": "整数合集",
+ "vaeModelField": "VAE",
+ "integerCollectionDescription": "一个整数值合集。",
+ "clipField": "Clip",
+ "stringDescription": "字符串是指文本。",
+ "colorCollection": "一个颜色合集。",
+ "boolean": "布尔值",
+ "stringPolymorphicDescription": "一个字符串合集。",
+ "controlField": "控制信息",
+ "floatPolymorphicDescription": "一个浮点数合集。",
+ "vaeField": "Vae",
+ "floatCollection": "浮点合集",
+ "booleanCollection": "布尔值合集",
+ "imageCollectionDescription": "一个图像合集。",
+ "loRAModelField": "LoRA",
+ "imageCollection": "图像合集",
+ "ipAdapterPolymorphicDescription": "一个 IP-Adapters Collection 合集。",
+ "ipAdapterCollection": "IP-Adapters 合集",
+ "conditioningCollection": "条件合集",
+ "ipAdapterPolymorphic": "IP-Adapters 多态",
+ "conditioningCollectionDescription": "条件可以在节点间传递。",
+ "colorPolymorphic": "颜色多态",
+ "conditioningPolymorphic": "条件多态",
+ "latentsCollection": "Latents 合集",
+ "stringPolymorphic": "字符多态",
+ "conditioningPolymorphicDescription": "条件可以在节点间传递。",
+ "imagePolymorphic": "图像多态",
+ "floatPolymorphic": "浮点多态",
+ "ipAdapterCollectionDescription": "一个 IP-Adapters Collection 合集。",
+ "ipAdapter": "IP-Adapter",
+ "booleanPolymorphic": "布尔多态",
+ "conditioningFieldDescription": "条件可以在节点间传递。",
+ "integerPolymorphic": "整数多态",
+ "latentsPolymorphic": "Latents 多态",
+ "conditioningField": "条件",
+ "latentsField": "Latents"
+ },
+ "controlnet": {
+ "resize": "直接缩放",
+ "showAdvanced": "显示高级",
+ "contentShuffleDescription": "随机打乱图像内容",
+ "importImageFromCanvas": "从画布导入图像",
+ "lineartDescription": "将图像转换为线稿",
+ "importMaskFromCanvas": "从画布导入遮罩",
+ "hideAdvanced": "隐藏高级",
+ "ipAdapterModel": "Adapter 模型",
+ "resetControlImage": "重置控制图像",
+ "beginEndStepPercent": "开始 / 结束步数百分比",
+ "mlsdDescription": "简洁的分割线段（直线）检测器",
+ "duplicate": "复制",
+ "balanced": "平衡",
+ "prompt": "Prompt (提示词控制)",
+ "depthMidasDescription": "使用 Midas 生成深度图",
+ "openPoseDescription": "使用 Openpose 进行人体姿态估计",
+ "resizeMode": "缩放模式",
+ "weight": "权重",
+ "selectModel": "选择一个模型",
+ "crop": "裁剪",
+ "processor": "处理器",
+ "none": "无",
+ "incompatibleBaseModel": "不兼容的基础模型：",
+ "enableControlnet": "启用 ControlNet",
+ "detectResolution": "检测分辨率",
+ "pidiDescription": "像素差分 (PIDI) 图像处理",
+ "controlMode": "控制模式",
+ "fill": "填充",
+ "cannyDescription": "Canny 边缘检测",
+ "colorMapDescription": "从图像生成一张颜色图",
+ "imageResolution": "图像分辨率",
+ "autoConfigure": "自动配置处理器",
+ "normalBaeDescription": "法线 BAE 处理",
+ "noneDescription": "不应用任何处理",
+ "saveControlImage": "保存控制图像",
+ "toggleControlNet": "开关此 ControlNet",
+ "delete": "删除",
+ "colorMapTileSize": "分块大小",
+ "ipAdapterImageFallback": "无已选择的 IP Adapter 图像",
+ "mediapipeFaceDescription": "使用 Mediapipe 检测面部",
+ "depthZoeDescription": "使用 Zoe 生成深度图",
+ "hedDescription": "整体嵌套边缘检测",
+ "setControlImageDimensions": "设定控制图像尺寸宽/高为",
+ "resetIPAdapterImage": "重置 IP Adapter 图像",
+ "handAndFace": "手部和面部",
+ "enableIPAdapter": "启用 IP Adapter",
+ "amult": "角度倍率 (a_mult)",
+ "bgth": "背景移除阈值 (bg_th)",
+ "lineartAnimeDescription": "动漫风格线稿处理",
+ "minConfidence": "最小置信度",
+ "lowThreshold": "弱判断阈值",
+ "highThreshold": "强判断阈值",
+ "addT2IAdapter": "添加 $t(common.t2iAdapter)",
+ "controlNetEnabledT2IDisabled": "$t(common.controlNet) 已启用, $t(common.t2iAdapter) 已禁用",
+ "t2iEnabledControlNetDisabled": "$t(common.t2iAdapter) 已启用, $t(common.controlNet) 已禁用",
+ "addControlNet": "添加 $t(common.controlNet)",
+ "controlNetT2IMutexDesc": "$t(common.controlNet) 和 $t(common.t2iAdapter) 目前不支持同时启用。",
+ "addIPAdapter": "添加 $t(common.ipAdapter)",
+ "safe": "保守模式",
+ "scribble": "草绘 (scribble)",
+ "maxFaces": "最大面部数",
+ "pidi": "PIDI",
+ "normalBae": "Normal BAE",
+ "hed": "HED",
+ "contentShuffle": "Content Shuffle",
+ "f": "F",
+ "h": "H",
+ "controlnet": "$t(controlnet.controlAdapter) #{{number}} ($t(common.controlNet))",
+ "control": "Control (普通控制)",
+ "coarse": "Coarse",
+ "depthMidas": "Depth (Midas)",
+ "w": "W",
+ "ip_adapter": "$t(controlnet.controlAdapter) #{{number}} ($t(common.ipAdapter))",
+ "mediapipeFace": "Mediapipe Face",
+ "mlsd": "M-LSD",
+ "lineart": "Lineart",
+ "t2i_adapter": "$t(controlnet.controlAdapter) #{{number}} ($t(common.t2iAdapter))",
+ "megaControl": "Mega Control (超级控制)",
+ "depthZoe": "Depth (Zoe)",
+ "colorMap": "Color",
+ "openPose": "Openpose",
+ "controlAdapter_other": "Control Adapters",
+ "lineartAnime": "Lineart Anime",
+ "canny": "Canny"
+ },
+ "queue": {
+ "status": "状态",
+ "cancelTooltip": "取消当前项目",
+ "queueEmpty": "队列为空",
+ "pauseSucceeded": "处理器已暂停",
+ "in_progress": "处理中",
+ "queueFront": "添加到队列前",
+ "completed": "已完成",
+ "queueBack": "添加到队列",
+ "cancelFailed": "取消项目时出现问题",
+ "pauseFailed": "暂停处理器时出现问题",
+ "clearFailed": "清除队列时出现问题",
+ "clearSucceeded": "队列已清除",
+ "pause": "暂停",
+ "cancelSucceeded": "项目已取消",
+ "queue": "队列",
+ "batch": "批处理",
+ "clearQueueAlertDialog": "清除队列时会立即取消所有处理中的项目并且会完全清除队列。",
+ "pending": "待定",
+ "completedIn": "完成于",
+ "resumeFailed": "恢复处理器时出现问题",
+ "clear": "清除",
+ "prune": "修剪",
+ "total": "总计",
+ "canceled": "已取消",
+ "pruneFailed": "修剪队列时出现问题",
+ "cancelBatchSucceeded": "批处理已取消",
+ "clearTooltip": "取消并清除所有项目",
+ "current": "当前",
+ "pauseTooltip": "暂停处理器",
+ "failed": "已失败",
+ "cancelItem": "取消项目",
+ "next": "下一个",
+ "cancelBatch": "取消批处理",
+ "cancel": "取消",
+ "resumeSucceeded": "处理器已恢复",
+ "resumeTooltip": "恢复处理器",
+ "resume": "恢复",
+ "cancelBatchFailed": "取消批处理时出现问题",
+ "clearQueueAlertDialog2": "您确定要清除队列吗？",
+ "item": "项目",
+ "pruneSucceeded": "从队列修剪 {{item_count}} 个已完成的项目",
+ "notReady": "无法排队",
+ "batchFailedToQueue": "批次加入队列失败",
+ "batchValues": "批次数",
+ "queueCountPrediction": "添加 {{predicted}} 到队列",
+ "batchQueued": "加入队列的批次",
+ "queuedCount": "{{pending}} 待处理",
+ "front": "前",
+ "pruneTooltip": "修剪 {{item_count}} 个已完成的项目",
+ "batchQueuedDesc_other": "在队列的 {{direction}} 中添加了 {{count}} 个会话",
+ "graphQueued": "节点图已加入队列",
+ "back": "后",
+ "session": "会话",
+ "queueTotal": "总计 {{total}}",
+ "enqueueing": "队列中的批次",
+ "queueMaxExceeded": "超出最大值 {{max_queue_size}}，将跳过 {{skip}}",
+ "graphFailedToQueue": "节点图加入队列失败"
+ },
+ "sdxl": {
+ "refinerStart": "Refiner 开始作用时机",
+ "selectAModel": "选择一个模型",
+ "scheduler": "调度器",
+ "cfgScale": "CFG 等级",
+ "negStylePrompt": "负向样式提示词",
+ "noModelsAvailable": "无可用模型",
+ "negAestheticScore": "负向美学评分",
+ "useRefiner": "启用 Refiner",
+ "denoisingStrength": "去噪强度",
+ "refinermodel": "Refiner 模型",
+ "posAestheticScore": "正向美学评分",
+ "concatPromptStyle": "连接提示词 & 样式",
+ "loading": "加载中...",
+ "steps": "步数",
+ "posStylePrompt": "正向样式提示词",
+ "refiner": "Refiner"
+ },
+ "metadata": {
+ "positivePrompt": "正向提示词",
+ "negativePrompt": "负向提示词",
+ "generationMode": "生成模式",
+ "Threshold": "噪声阈值",
+ "metadata": "元数据",
+ "strength": "图生图强度",
+ "seed": "种子",
+ "imageDetails": "图像详细信息",
+ "perlin": "Perlin 噪声",
+ "model": "模型",
+ "noImageDetails": "未找到图像详细信息",
+ "hiresFix": "高分辨率优化",
+ "cfgScale": "CFG 等级",
+ "initImage": "初始图像",
+ "height": "高度",
+ "variations": "(成对/第二)种子权重",
+ "noMetaData": "未找到元数据",
+ "width": "宽度",
+ "createdBy": "创建者是",
+ "workflow": "工作流",
+ "steps": "步数",
+ "scheduler": "调度器",
+ "seamless": "无缝",
+ "fit": "图生图匹配",
+ "recallParameters": "召回参数",
+ "noRecallParameters": "未找到要召回的参数"
+ },
+ "models": {
+ "noMatchingModels": "无相匹配的模型",
+ "loading": "加载中",
+ "noMatchingLoRAs": "无相匹配的 LoRA",
+ "noLoRAsAvailable": "无可用 LoRA",
+ "noModelsAvailable": "无可用模型",
+ "selectModel": "选择一个模型",
+ "selectLoRA": "选择一个 LoRA"
+ },
+ "boards": {
+ "autoAddBoard": "自动添加面板",
+ "topMessage": "该面板包含的图像正使用以下功能：",
+ "move": "移动",
+ "menuItemAutoAdd": "自动添加到该面板",
+ "myBoard": "我的面板",
+ "searchBoard": "检索面板...",
+ "noMatching": "没有相匹配的面板",
+ "selectBoard": "选择一个面板",
+ "cancel": "取消",
+ "addBoard": "添加面板",
+ "bottomMessage": "删除该面板并且将其对应的图像将重置当前使用该面板的所有功能。",
+ "uncategorized": "未分类",
+ "changeBoard": "更改面板",
+ "loading": "加载中...",
+ "clearSearch": "清除检索",
+ "downloadBoard": "下载面板"
+ },
+ "embedding": {
+ "noMatchingEmbedding": "不匹配的 Embedding",
+ "addEmbedding": "添加 Embedding",
+ "incompatibleModel": "不兼容的基础模型："
+ },
+ "dynamicPrompts": {
+ "seedBehaviour": {
+ "perPromptDesc": "每次生成图像使用不同的种子",
+ "perIterationLabel": "每次迭代的种子",
+ "perIterationDesc": "每次迭代使用不同的种子",
+ "perPromptLabel": "每张图像的种子",
+ "label": "种子行为"
+ },
+ "enableDynamicPrompts": "启用动态提示词",
+ "combinatorial": "组合生成",
+ "maxPrompts": "最大提示词数",
+ "dynamicPrompts": "动态提示词",
+ "promptsWithCount_other": "{{count}} 个提示词"
+ },
+ "popovers": {
+ "compositingMaskAdjustments": {
+ "heading": "遮罩调整",
+ "paragraphs": [
+ "调整遮罩。"
+ ]
+ },
+ "paramRatio": {
+ "heading": "纵横比",
+ "paragraphs": [
+ "生成图像的尺寸纵横比。",
+ "图像尺寸（单位：像素）建议 SD 1.5 模型使用等效 512x512 的尺寸，SDXL 模型使用等效 1024x1024 的尺寸。"
+ ]
+ },
+ "compositingCoherenceSteps": {
+ "heading": "步数",
+ "paragraphs": [
+ "一致性层中使用的去噪步数。",
+ "与主参数中的步数相同。"
+ ]
+ },
+ "compositingBlur": {
+ "heading": "模糊",
+ "paragraphs": [
+ "遮罩模糊半径。"
+ ]
+ },
+ "noiseUseCPU": {
+ "heading": "使用 CPU 噪声",
+ "paragraphs": [
+ "选择由 CPU 或 GPU 生成噪声。",
+ "启用 CPU 噪声后，特定的种子将会在不同的设备上产生下相同的图像。",
+ "启用 CPU 噪声不会对性能造成影响。"
+ ]
+ },
+ "paramVAEPrecision": {
+ "heading": "VAE 精度",
+ "paragraphs": [
+ "VAE 编解码过程种使用的精度。FP16/半精度以微小的图像变化为代价提高效率。"
+ ]
+ },
+ "compositingCoherenceMode": {
+ "heading": "模式",
+ "paragraphs": [
+ "一致性层模式。"
+ ]
+ },
+ "controlNetResizeMode": {
+ "heading": "缩放模式",
+ "paragraphs": [
+ "ControlNet 输入图像适应输出图像大小的方法。"
+ ]
+ },
+ "clipSkip": {
+ "paragraphs": [
+ "选择要跳过 CLIP 模型多少层。",
+ "部分模型跳过特定数值的层时效果会更好。",
+ "较高的数值通常会导致图像细节更少。"
+ ],
+ "heading": "CLIP 跳过层"
+ },
+ "paramModel": {
+ "heading": "模型",
+ "paragraphs": [
+ "用于去噪过程的模型。",
+ "不同的模型一般会通过接受训练来专门产生特定的美学内容和结果。"
+ ]
+ },
+ "paramIterations": {
+ "heading": "迭代数",
+ "paragraphs": [
+ "生成图像的数量。",
+ "若启用动态提示词，每种提示词都会生成这么多次。"
+ ]
+ },
+ "compositingCoherencePass": {
+ "heading": "一致性层",
+ "paragraphs": [
+ "第二轮去噪有助于合成内补/外扩图像。"
+ ]
+ },
+ "compositingStrength": {
+ "heading": "强度",
+ "paragraphs": [
+ "一致性层使用的去噪强度。",
+ "去噪强度与图生图的参数相同。"
+ ]
+ },
+ "paramNegativeConditioning": {
+ "paragraphs": [
+ "生成过程会避免生成负向提示词中的概念。使用此选项来使输出排除部分质量或对象。",
+ "支持 Compel 语法 和 embeddings。"
+ ],
+ "heading": "负向提示词"
+ },
+ "compositingBlurMethod": {
+ "heading": "模糊方式",
+ "paragraphs": [
+ "应用于遮罩区域的模糊方法。"
+ ]
+ },
+ "paramScheduler": {
+ "heading": "调度器",
+ "paragraphs": [
+ "调度器 (采样器) 定义如何在图像迭代过程中添加噪声，或者定义如何根据一个模型的输出来更新采样。"
+ ]
+ },
+ "controlNetWeight": {
+ "heading": "权重",
+ "paragraphs": [
+ "ControlNet 对生成图像的影响强度。"
+ ]
+ },
+ "paramCFGScale": {
+ "heading": "CFG 等级",
+ "paragraphs": [
+ "控制提示词对生成过程的影响程度。"
+ ]
+ },
+ "paramSteps": {
+ "heading": "步数",
+ "paragraphs": [
+ "每次生成迭代执行的步数。",
+ "通常情况下步数越多结果越好，但需要更多生成时间。"
+ ]
+ },
+ "paramPositiveConditioning": {
+ "heading": "正向提示词",
+ "paragraphs": [
+ "引导生成过程。您可以使用任何单词或短语。",
+ "Compel 语法、动态提示词语法和 embeddings。"
+ ]
+ },
+ "lora": {
+ "heading": "LoRA 权重",
+ "paragraphs": [
+ "更高的 LoRA 权重会对最终图像产生更大的影响。"
+ ]
+ },
+ "infillMethod": {
+ "heading": "填充方法",
+ "paragraphs": [
+ "填充选定区域的方式。"
+ ]
+ },
+ "controlNetBeginEnd": {
+ "heading": "开始 / 结束步数百分比",
+ "paragraphs": [
+ "去噪过程中在哪部分步数应用 ControlNet。",
+ "在组合处理开始阶段应用 ControlNet，且在引导细节生成的结束阶段应用 ControlNet。"
+ ]
+ },
+ "scaleBeforeProcessing": {
+ "heading": "处理前缩放",
+ "paragraphs": [
+ "生成图像前将所选区域缩放为最适合模型的大小。"
+ ]
+ },
+ "paramDenoisingStrength": {
+ "heading": "去噪强度",
+ "paragraphs": [
+ "为输入图像添加的噪声量。",
+ "输入 0 会导致结果图像和输入完全相同，输入 1 则会生成全新的图像。"
+ ]
+ },
+ "paramSeed": {
+ "heading": "种子",
+ "paragraphs": [
+ "控制用于生成的起始噪声。",
+ "禁用 “随机种子” 来以相同设置生成相同的结果。"
+ ]
+ },
+ "controlNetControlMode": {
+ "heading": "控制模式",
+ "paragraphs": [
+ "给提示词或 ControlNet 增加更大的权重。"
+ ]
+ },
+ "dynamicPrompts": {
+ "paragraphs": [
+ "动态提示词可将单个提示词解析为多个。",
+ "基本语法示例：\"a {red|green|blue} ball\"。这会产生三种提示词：\"a red ball\", \"a green ball\" 和 \"a blue ball\"。",
+ "可以在单个提示词中多次使用该语法，但务必请使用最大提示词设置来控制生成的提示词数量。"
+ ],
+ "heading": "动态提示词"
+ },
+ "paramVAE": {
+ "paragraphs": [
+ "用于将 AI 输出转换成最终图像的模型。"
+ ],
+ "heading": "VAE"
+ },
+ "dynamicPromptsSeedBehaviour": {
+ "paragraphs": [
+ "控制生成提示词时种子的使用方式。",
+ "每次迭代过程都会使用一个唯一的种子。使用本选项来探索单个种子的提示词变化。",
+ "例如，如果你有 5 种提示词，则生成的每个图像都会使用相同种子。",
+ "为每张图像使用独立的唯一种子。这可以提供更多变化。"
+ ],
+ "heading": "种子行为"
+ },
+ "dynamicPromptsMaxPrompts": {
+ "heading": "最大提示词数量",
+ "paragraphs": [
+ "限制动态提示词可生成的提示词数量。"
+ ]
+ },
+ "controlNet": {
+ "paragraphs": [
+ "ControlNet 为生成过程提供引导，为生成具有受控构图、结构、样式的图像提供帮助，具体的功能由所选的模型决定。"
+ ],
+ "heading": "ControlNet"
+ }
+ },
+ "invocationCache": {
+ "disable": "禁用",
+ "misses": "缓存未中",
+ "enableFailed": "启用调用缓存时出现问题",
+ "invocationCache": "调用缓存",
+ "clearSucceeded": "调用缓存已清除",
+ "enableSucceeded": "调用缓存已启用",
+ "clearFailed": "清除调用缓存时出现问题",
+ "hits": "缓存命中",
+ "disableSucceeded": "调用缓存已禁用",
+ "disableFailed": "禁用调用缓存时出现问题",
+ "enable": "启用",
+ "clear": "清除",
+ "maxCacheSize": "最大缓存大小",
+ "cacheSize": "缓存大小"
}
}
diff --git a/invokeai/frontend/web/public/locales/zh_Hant.json b/invokeai/frontend/web/public/locales/zh_Hant.json
index 98b4882018..fe51856117 100644
--- a/invokeai/frontend/web/public/locales/zh_Hant.json
+++ b/invokeai/frontend/web/public/locales/zh_Hant.json
@@ -13,9 +13,6 @@
"settingsLabel": "設定",
"upload": "上傳",
"langArabic": "阿拉伯語",
- "greenTheme": "綠色",
- "lightTheme": "淺色",
- "darkTheme": "深色",
"discordLabel": "Discord",
"nodesDesc": "使用Node生成圖像的系統正在開發中。敬請期待有關於這項功能的更新。",
"reportBugLabel": "回報錯誤",
@@ -33,6 +30,24 @@
"langBrPortuguese": "巴西葡萄牙語",
"langRussian": "俄語",
"langSpanish": "西班牙語",
- "unifiedCanvas": "統一畫布"
+ "unifiedCanvas": "統一畫布",
+ "cancel": "取消",
+ "langHebrew": "希伯來語",
+ "txt2img": "文字轉圖片"
+ },
+ "accessibility": {
+ "modelSelect": "選擇模型",
+ "invokeProgressBar": "Invoke 進度條",
+ "uploadImage": "上傳圖片",
+ "reset": "重設",
+ "nextImage": "下一張圖片",
+ "previousImage": "上一張圖片",
+ "flipHorizontally": "水平翻轉",
+ "useThisParameter": "使用此參數",
+ "zoomIn": "放大",
+ "zoomOut": "縮小",
+ "flipVertically": "垂直翻轉",
+ "modifyConfig": "修改配置",
+ "menu": "選單"
}
}
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/batchEnqueued.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/batchEnqueued.ts
index bdb8e03ad2..62a661756b 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/batchEnqueued.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/batchEnqueued.ts
@@ -30,7 +30,7 @@ export const addBatchEnqueuedListener = () => {
id: 'batch-queued',
title: t('queue.batchQueued'),
description: t('queue.batchQueuedDesc', {
- item_count: response.enqueued,
+ count: response.enqueued,
direction: arg.prepend ? t('queue.front') : t('queue.back'),
}),
duration: 1000,
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts
index 62f7b60036..35c1affb97 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/canvasMerged.ts
@@ -44,7 +44,7 @@ export const addCanvasMergedListener = () => {
}
const baseLayerRect = canvasBaseLayer.getClientRect({
- relativeTo: canvasBaseLayer.getParent(),
+ relativeTo: canvasBaseLayer.getParent() ?? undefined,
});
const imageDTO = await dispatch(
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
index 79a09c628f..bd5422841f 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/imageDeleted.ts
@@ -151,7 +151,9 @@ export const addRequestedSingleImageDeletionListener = () => {
if (wasImageDeleted) {
dispatch(
- api.util.invalidateTags([{ type: 'Board', id: imageDTO.board_id }])
+ api.util.invalidateTags([
+ { type: 'Board', id: imageDTO.board_id ?? 'none' },
+ ])
);
}
},
diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
index c320c437f6..6ed0b93e99 100644
--- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
+++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/modelSelected.ts
@@ -73,14 +73,9 @@ export const addModelSelectedListener = () => {
dispatch(
addToast(
makeToast({
- title: t(
- modelsCleared === 1
- ? 'toast.baseModelChangedCleared_one'
- : 'toast.baseModelChangedCleared_many',
- {
- number: modelsCleared,
- }
- ),
+ title: t('toast.baseModelChangedCleared', {
+ count: modelsCleared,
+ }),
status: 'warning',
})
)
diff --git a/invokeai/frontend/web/src/app/types/invokeai.ts b/invokeai/frontend/web/src/app/types/invokeai.ts
index 0f1f7b3aaa..39e4ffd27a 100644
--- a/invokeai/frontend/web/src/app/types/invokeai.ts
+++ b/invokeai/frontend/web/src/app/types/invokeai.ts
@@ -22,7 +22,8 @@ export type AppFeature =
| 'pauseQueue'
| 'resumeQueue'
| 'prependQueue'
- | 'invocationCache';
+ | 'invocationCache'
+ | 'bulkDownload';
/**
* A disable-able Stable Diffusion feature
@@ -38,7 +39,8 @@ export type SDFeature =
| 'hires'
| 'lora'
| 'embedding'
- | 'vae';
+ | 'vae'
+ | 'hrf';
/**
* Configuration options for the InvokeAI UI.
@@ -109,6 +111,14 @@ export type AppConfig = {
fineStep: number;
coarseStep: number;
};
+ hrfStrength: {
+ initial: number;
+ min: number;
+ sliderMax: number;
+ inputMax: number;
+ fineStep: number;
+ coarseStep: number;
+ };
dynamicPrompts: {
maxPrompts: {
initial: number;
diff --git a/invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts b/invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts
index f2398483bf..197f5f4068 100644
--- a/invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts
+++ b/invokeai/frontend/web/src/common/components/IAIInformationalPopover/constants.ts
@@ -2,6 +2,7 @@ import { PopoverProps } from '@chakra-ui/react';
export type Feature =
| 'clipSkip'
+ | 'hrf'
| 'paramNegativeConditioning'
| 'paramPositiveConditioning'
| 'paramScheduler'
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx
index 7c85b3557e..5ea17f788c 100644
--- a/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIMantineMultiSelect.tsx
@@ -6,7 +6,7 @@ import { useMantineMultiSelectStyles } from 'mantine-theme/hooks/useMantineMulti
import { KeyboardEvent, RefObject, memo, useCallback } from 'react';
type IAIMultiSelectProps = Omit<MultiSelectProps, 'label'> & {
- tooltip?: string;
+ tooltip?: string | null;
inputRef?: RefObject<HTMLInputElement>;
label?: string;
};
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
index 39fe7ead3c..675314b421 100644
--- a/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIMantineSearchableSelect.tsx
@@ -12,7 +12,7 @@ export type IAISelectDataType = {
};
type IAISelectProps = Omit<SelectProps, 'label'> & {
- tooltip?: string;
+ tooltip?: string | null;
label?: string;
inputRef?: RefObject<HTMLInputElement>;
};
diff --git a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx
index 8cc08d2304..9541015b65 100644
--- a/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx
+++ b/invokeai/frontend/web/src/common/components/IAIMantineSelect.tsx
@@ -10,7 +10,7 @@ export type IAISelectDataType = {
};
export type IAISelectProps = Omit<SelectProps, 'label'> & {
- tooltip?: string;
+ tooltip?: string | null;
inputRef?: RefObject<HTMLInputElement>;
label?: string;
};
diff --git a/invokeai/frontend/web/src/common/hooks/useImage.ts b/invokeai/frontend/web/src/common/hooks/useImage.ts
new file mode 100644
index 0000000000..60c973ce59
--- /dev/null
+++ b/invokeai/frontend/web/src/common/hooks/useImage.ts
@@ -0,0 +1,102 @@
+import { useLayoutEffect, useRef, useState } from 'react';
+
+// Adapted from https://github.com/konvajs/use-image
+
+type CrossOrigin = 'anonymous' | 'use-credentials';
+type ReferrerPolicy =
+ | 'no-referrer'
+ | 'no-referrer-when-downgrade'
+ | 'origin'
+ | 'origin-when-cross-origin'
+ | 'same-origin'
+ | 'strict-origin'
+ | 'strict-origin-when-cross-origin'
+ | 'unsafe-url';
+type ImageStatus = 'loaded' | 'loading' | 'failed';
+
+export const useImage = (
+ url: string,
+ crossOrigin?: CrossOrigin,
+ referrerpolicy?: ReferrerPolicy
+): [undefined | HTMLImageElement, ImageStatus, Blob | null] => {
+ // lets use refs for image and status
+ // so we can update them during render
+ // to have instant update in status/image when new data comes in
+ const statusRef = useRef<ImageStatus>('loading');
+ const imageRef = useRef<HTMLImageElement>();
+ const blobRef = useRef<Blob | null>(null);
+
+ // we are not going to use token
+ // but we need to just to trigger state update
+ const [_, setStateToken] = useState(0);
+
+ // keep track of old props to trigger changes
+ const oldUrl = useRef<string>();
+ const oldCrossOrigin = useRef<string>();
+ const oldReferrerPolicy = useRef<string>();
+
+ if (
+ oldUrl.current !== url ||
+ oldCrossOrigin.current !== crossOrigin ||
+ oldReferrerPolicy.current !== referrerpolicy
+ ) {
+ statusRef.current = 'loading';
+ imageRef.current = undefined;
+ oldUrl.current = url;
+ oldCrossOrigin.current = crossOrigin;
+ oldReferrerPolicy.current = referrerpolicy;
+ }
+
+ useLayoutEffect(
+ function () {
+ if (!url) {
+ return;
+ }
+ const img = document.createElement('img');
+
+ function onload() {
+ statusRef.current = 'loaded';
+ imageRef.current = img;
+ const canvas = document.createElement('canvas');
+ canvas.width = img.clientWidth;
+ canvas.height = img.clientHeight;
+
+ const context = canvas.getContext('2d');
+ if (context) {
+ context.drawImage(img, 0, 0);
+ canvas.toBlob(function (blob) {
+ blobRef.current = blob;
+ }, 'image/png');
+ }
+ setStateToken(Math.random());
+ }
+
+ function onerror() {
+ statusRef.current = 'failed';
+ imageRef.current = undefined;
+ setStateToken(Math.random());
+ }
+
+ img.addEventListener('load', onload);
+ img.addEventListener('error', onerror);
+ if (crossOrigin) {
+ img.crossOrigin = crossOrigin;
+ }
+ if (referrerpolicy) {
+ img.referrerPolicy = referrerpolicy;
+ }
+ img.src = url;
+
+ return function cleanup() {
+ img.removeEventListener('load', onload);
+ img.removeEventListener('error', onerror);
+ };
+ },
+ [url, crossOrigin, referrerpolicy]
+ );
+
+ // return array because it is better to use in case of several useImage hooks
+ // const [background, backgroundStatus] = useImage(url1);
+ // const [patter] = useImage(url2);
+ return [imageRef.current, statusRef.current, blobRef.current];
+};
diff --git a/invokeai/frontend/web/src/common/hooks/useImageUrlToBlob.ts b/invokeai/frontend/web/src/common/hooks/useImageUrlToBlob.ts
new file mode 100644
index 0000000000..77538a929d
--- /dev/null
+++ b/invokeai/frontend/web/src/common/hooks/useImageUrlToBlob.ts
@@ -0,0 +1,40 @@
+import { useCallback } from 'react';
+import { $authToken } from 'services/api/client';
+
+/**
+ * Converts an image URL to a Blob by creating an <img /> element, drawing it to canvas
+ * and then converting the canvas to a Blob.
+ *
+ * @returns A function that takes a URL and returns a Promise that resolves with a Blob
+ */
+export const useImageUrlToBlob = () => {
+ const imageUrlToBlob = useCallback(
+ async (url: string) =>
+ new Promise<Blob | null>((resolve) => {
+ const img = new Image();
+ img.onload = () => {
+ const canvas = document.createElement('canvas');
+ canvas.width = img.width;
+ canvas.height = img.height;
+
+ const context = canvas.getContext('2d');
+ if (!context) {
+ return;
+ }
+ context.drawImage(img, 0, 0);
+ resolve(
+ new Promise<Blob | null>((resolve) => {
+ canvas.toBlob(function (blob) {
+ resolve(blob);
+ }, 'image/png');
+ })
+ );
+ };
+ img.crossOrigin = $authToken.get() ? 'use-credentials' : 'anonymous';
+ img.src = url;
+ }),
+ []
+ );
+
+ return imageUrlToBlob;
+};
diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasStatusText.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasStatusText.tsx
index 7aa9cad003..2b13e5cf6b 100644
--- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasStatusText.tsx
+++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasStatusText.tsx
@@ -45,7 +45,7 @@ const selector = createSelector(
return {
activeLayerColor,
- activeLayerString: layer.charAt(0).toUpperCase() + layer.slice(1),
+ layer,
boundingBoxColor,
boundingBoxCoordinatesString: `(${roundToHundreth(
boxX
@@ -73,7 +73,7 @@ const selector = createSelector(
const IAICanvasStatusText = () => {
const {
activeLayerColor,
- activeLayerString,
+ layer,
boundingBoxColor,
boundingBoxCoordinatesString,
boundingBoxDimensionsString,
@@ -116,7 +116,9 @@ const IAICanvasStatusText = () => {
style={{
color: activeLayerColor,
}}
- >{`${t('unifiedCanvas.activeLayer')}: ${activeLayerString}`}</Box>
+ >{`${t('unifiedCanvas.activeLayer')}: ${t(
+ `unifiedCanvas.${layer}`
+ )}`}</Box>
<Box>{`${t('unifiedCanvas.canvasScale')}: ${canvasScaleString}%`}</Box>
{shouldPreserveMaskedArea && (
<Box
@@ -124,7 +126,7 @@ const IAICanvasStatusText = () => {
color: warningColor,
}}
>
- Preserve Masked Area: On
+ {t('unifiedCanvas.preserveMaskedArea')}: {t('common.on')}
</Box>
)}
{shouldShowBoundingBox && (
diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
index 77fae4e0a1..a5520322be 100644
--- a/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
+++ b/invokeai/frontend/web/src/features/canvas/store/canvasSlice.ts
@@ -30,6 +30,7 @@ import {
isCanvasMaskLine,
} from './canvasTypes';
import { appSocketQueueItemStatusChanged } from 'services/events/actions';
+import { queueApi } from 'services/api/endpoints/queue';
export const initialLayerState: CanvasLayerState = {
objects: [],
@@ -812,6 +813,20 @@ export const canvasSlice = createSlice({
);
}
});
+ builder.addMatcher(
+ queueApi.endpoints.clearQueue.matchFulfilled,
+ (state) => {
+ state.batchIds = [];
+ }
+ );
+ builder.addMatcher(
+ queueApi.endpoints.cancelByBatchIds.matchFulfilled,
+ (state, action) => {
+ state.batchIds = state.batchIds.filter(
+ (id) => !action.meta.arg.originalArgs.batch_ids.includes(id)
+ );
+ }
+ );
},
});
diff --git a/invokeai/frontend/web/src/features/controlAdapters/components/ControlAdaptersCollapse.tsx b/invokeai/frontend/web/src/features/controlAdapters/components/ControlAdaptersCollapse.tsx
index 202222bed9..2cad007a03 100644
--- a/invokeai/frontend/web/src/features/controlAdapters/components/ControlAdaptersCollapse.tsx
+++ b/invokeai/frontend/web/src/features/controlAdapters/components/ControlAdaptersCollapse.tsx
@@ -11,31 +11,53 @@ import {
selectAllIPAdapters,
selectAllT2IAdapters,
selectControlAdapterIds,
+ selectValidControlNets,
+ selectValidIPAdapters,
+ selectValidT2IAdapters,
} from 'features/controlAdapters/store/controlAdaptersSlice';
import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
import { Fragment, memo } from 'react';
+import { useTranslation } from 'react-i18next';
import { FaPlus } from 'react-icons/fa';
import { useAddControlAdapter } from '../hooks/useAddControlAdapter';
-import { useTranslation } from 'react-i18next';
const selector = createSelector(
[stateSelector],
({ controlAdapters }) => {
const activeLabel: string[] = [];
+ let isError = false;
- const ipAdapterCount = selectAllIPAdapters(controlAdapters).length;
- if (ipAdapterCount > 0) {
- activeLabel.push(`${ipAdapterCount} IP`);
+ const enabledIPAdapterCount = selectAllIPAdapters(controlAdapters).filter(
+ (ca) => ca.isEnabled
+ ).length;
+ const validIPAdapterCount = selectValidIPAdapters(controlAdapters).length;
+ if (enabledIPAdapterCount > 0) {
+ activeLabel.push(`${enabledIPAdapterCount} IP`);
+ }
+ if (enabledIPAdapterCount > validIPAdapterCount) {
+ isError = true;
}
- const controlNetCount = selectAllControlNets(controlAdapters).length;
- if (controlNetCount > 0) {
- activeLabel.push(`${controlNetCount} ControlNet`);
+ const enabledControlNetCount = selectAllControlNets(controlAdapters).filter(
+ (ca) => ca.isEnabled
+ ).length;
+ const validControlNetCount = selectValidControlNets(controlAdapters).length;
+ if (enabledControlNetCount > 0) {
+ activeLabel.push(`${enabledControlNetCount} ControlNet`);
+ }
+ if (enabledControlNetCount > validControlNetCount) {
+ isError = true;
}
- const t2iAdapterCount = selectAllT2IAdapters(controlAdapters).length;
- if (t2iAdapterCount > 0) {
- activeLabel.push(`${t2iAdapterCount} T2I`);
+ const enabledT2IAdapterCount = selectAllT2IAdapters(controlAdapters).filter(
+ (ca) => ca.isEnabled
+ ).length;
+ const validT2IAdapterCount = selectValidT2IAdapters(controlAdapters).length;
+ if (enabledT2IAdapterCount > 0) {
+ activeLabel.push(`${enabledT2IAdapterCount} T2I`);
+ }
+ if (enabledT2IAdapterCount > validT2IAdapterCount) {
+ isError = true;
}
const controlAdapterIds =
@@ -44,6 +66,7 @@ const selector = createSelector(
return {
controlAdapterIds,
activeLabel: activeLabel.join(', '),
+ isError, // TODO: Add some visual indicator that the control adapters are in an error state
};
},
defaultSelectorOptions
@@ -66,7 +89,10 @@ const ControlAdaptersCollapse = () => {
}
return (
- <IAICollapse label="Control Adapters" activeLabel={activeLabel}>
+ <IAICollapse
+ label={t('controlnet.controlAdapter_other')}
+ activeLabel={activeLabel}
+ >
<Flex sx={{ flexDir: 'column', gap: 2 }}>
<ButtonGroup size="sm" w="full" justifyContent="space-between">
<IAIButton
diff --git a/invokeai/frontend/web/src/features/controlAdapters/store/controlAdaptersSlice.ts b/invokeai/frontend/web/src/features/controlAdapters/store/controlAdaptersSlice.ts
index 8cbd9978ae..a3645fad9d 100644
--- a/invokeai/frontend/web/src/features/controlAdapters/store/controlAdaptersSlice.ts
+++ b/invokeai/frontend/web/src/features/controlAdapters/store/controlAdaptersSlice.ts
@@ -3,6 +3,7 @@ import {
Update,
createEntityAdapter,
createSlice,
+ isAnyOf,
} from '@reduxjs/toolkit';
import {
ControlNetModelParam,
@@ -544,3 +545,9 @@ export const {
} = controlAdaptersSlice.actions;
export default controlAdaptersSlice.reducer;
+
+export const isAnyControlAdapterAdded = isAnyOf(
+ controlAdapterAdded,
+ controlAdapterAddedFromImage,
+ controlAdapterRecalled
+);
diff --git a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts
index 32e24845ea..4c2cd31eca 100644
--- a/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts
+++ b/invokeai/frontend/web/src/features/dynamicPrompts/store/dynamicPromptsSlice.ts
@@ -39,7 +39,10 @@ export const dynamicPromptsSlice = createSlice({
promptsChanged: (state, action: PayloadAction<string[]>) => {
state.prompts = action.payload;
},
- parsingErrorChanged: (state, action: PayloadAction<string | undefined>) => {
+ parsingErrorChanged: (
+ state,
+ action: PayloadAction<string | null | undefined>
+ ) => {
state.parsingError = action.payload;
},
isErrorChanged: (state, action: PayloadAction<boolean>) => {
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/AutoAddIcon.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/AutoAddIcon.tsx
index 4e748d61e8..94e1e90fd3 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/AutoAddIcon.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/AutoAddIcon.tsx
@@ -1,7 +1,9 @@
import { Badge, Flex } from '@chakra-ui/react';
import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
const AutoAddIcon = () => {
+ const { t } = useTranslation();
return (
<Flex
sx={{
@@ -15,7 +17,7 @@ const AutoAddIcon = () => {
variant="solid"
sx={{ bg: 'accent.400', _dark: { bg: 'accent.500' } }}
>
- auto
+ {t('common.auto')}
</Badge>
</Flex>
);
diff --git a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
index c18a9f671c..5dd6b94753 100644
--- a/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/Boards/BoardContextMenu.tsx
@@ -11,12 +11,15 @@ import { autoAddBoardIdChanged } from 'features/gallery/store/gallerySlice';
import { BoardId } from 'features/gallery/store/types';
import { MouseEvent, memo, useCallback, useMemo } from 'react';
import { useTranslation } from 'react-i18next';
-import { FaPlus } from 'react-icons/fa';
+import { FaDownload, FaPlus } from 'react-icons/fa';
import { useBoardName } from 'services/api/hooks/useBoardName';
import { BoardDTO } from 'services/api/types';
import { menuListMotionProps } from 'theme/components/menu';
import GalleryBoardContextMenuItems from './GalleryBoardContextMenuItems';
import NoBoardContextMenuItems from './NoBoardContextMenuItems';
+import { useFeatureStatus } from '../../../system/hooks/useFeatureStatus';
+import { useBulkDownloadImagesMutation } from '../../../../services/api/endpoints/images';
+import { addToast } from '../../../system/store/systemSlice';
type Props = {
board?: BoardDTO;
@@ -31,6 +34,7 @@ const BoardContextMenu = ({
setBoardToDelete,
children,
}: Props) => {
+ const { t } = useTranslation();
const dispatch = useAppDispatch();
const selector = useMemo(
@@ -49,17 +53,43 @@ const BoardContextMenu = ({
const { isAutoAdd, autoAssignBoardOnClick } = useAppSelector(selector);
const boardName = useBoardName(board_id);
+ const isBulkDownloadEnabled =
+ useFeatureStatus('bulkDownload').isFeatureEnabled;
+
+ const [bulkDownload] = useBulkDownloadImagesMutation();
const handleSetAutoAdd = useCallback(() => {
dispatch(autoAddBoardIdChanged(board_id));
}, [board_id, dispatch]);
+ const handleBulkDownload = useCallback(async () => {
+ try {
+ const response = await bulkDownload({
+ image_names: [],
+ board_id: board_id,
+ }).unwrap();
+
+ dispatch(
+ addToast({
+ title: t('gallery.preparingDownload'),
+ status: 'success',
+ ...(response.response ? { description: response.response } : {}),
+ })
+ );
+ } catch {
+ dispatch(
+ addToast({
+ title: t('gallery.preparingDownloadFailed'),
+ status: 'error',
+ })
+ );
+ }
+ }, [t, board_id, bulkDownload, dispatch]);
+
const skipEvent = useCallback((e: MouseEvent<HTMLDivElement>) => {
e.preventDefault();
}, []);
- const { t } = useTranslation();
-
return (
<IAIContextMenu<HTMLDivElement>
menuProps={{ size: 'sm', isLazy: true }}
@@ -81,6 +111,14 @@ const BoardContextMenu = ({
>
{t('boards.menuItemAutoAdd')}
</MenuItem>
+ {isBulkDownloadEnabled && (
+ <MenuItem
+ icon={<FaDownload />}
+ onClickCapture={handleBulkDownload}
+ >
+ {t('boards.downloadBoard')}
+ </MenuItem>
+ )}
{!board && <NoBoardContextMenuItems />}
{board && (
<GalleryBoardContextMenuItems
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
index 29b45761ee..675a4fd6af 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/MultipleSelectionMenuItems.tsx
@@ -8,20 +8,29 @@ import {
} from 'features/changeBoardModal/store/slice';
import { imagesToDeleteSelected } from 'features/deleteImageModal/store/slice';
import { memo, useCallback, useMemo } from 'react';
-import { FaFolder, FaTrash } from 'react-icons/fa';
+import { FaDownload, FaFolder, FaTrash } from 'react-icons/fa';
import { MdStar, MdStarBorder } from 'react-icons/md';
import {
+ useBulkDownloadImagesMutation,
useStarImagesMutation,
useUnstarImagesMutation,
} from '../../../../services/api/endpoints/images';
+import { useFeatureStatus } from '../../../system/hooks/useFeatureStatus';
+import { addToast } from '../../../system/store/systemSlice';
+import { useTranslation } from 'react-i18next';
const MultipleSelectionMenuItems = () => {
+ const { t } = useTranslation();
const dispatch = useAppDispatch();
const selection = useAppSelector((state) => state.gallery.selection);
const customStarUi = useStore($customStarUI);
+ const isBulkDownloadEnabled =
+ useFeatureStatus('bulkDownload').isFeatureEnabled;
+
const [starImages] = useStarImagesMutation();
const [unstarImages] = useUnstarImagesMutation();
+ const [bulkDownload] = useBulkDownloadImagesMutation();
const handleChangeBoard = useCallback(() => {
dispatch(imagesToChangeSelected(selection));
@@ -40,6 +49,29 @@ const MultipleSelectionMenuItems = () => {
unstarImages({ imageDTOs: selection });
}, [unstarImages, selection]);
+ const handleBulkDownload = useCallback(async () => {
+ try {
+ const response = await bulkDownload({
+ image_names: selection.map((img) => img.image_name),
+ }).unwrap();
+
+ dispatch(
+ addToast({
+ title: t('gallery.preparingDownload'),
+ status: 'success',
+ ...(response.response ? { description: response.response } : {}),
+ })
+ );
+ } catch {
+ dispatch(
+ addToast({
+ title: t('gallery.preparingDownloadFailed'),
+ status: 'error',
+ })
+ );
+ }
+ }, [t, selection, bulkDownload, dispatch]);
+
const areAllStarred = useMemo(() => {
return selection.every((img) => img.starred);
}, [selection]);
@@ -66,6 +98,11 @@ const MultipleSelectionMenuItems = () => {
{customStarUi ? customStarUi.on.text : `Star All`}
</MenuItem>
)}
+ {isBulkDownloadEnabled && (
+ <MenuItem icon={<FaDownload />} onClickCapture={handleBulkDownload}>
+ {t('gallery.downloadSelection')}
+ </MenuItem>
+ )}
<MenuItem icon={<FaFolder />} onClickCapture={handleChangeBoard}>
Change Board
</MenuItem>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx
index 63e0cee378..fa640bf202 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageGalleryContent.tsx
@@ -20,6 +20,7 @@ import BoardsList from './Boards/BoardsList/BoardsList';
import GalleryBoardName from './GalleryBoardName';
import GallerySettingsPopover from './GallerySettingsPopover';
import GalleryImageGrid from './ImageGrid/GalleryImageGrid';
+import { useTranslation } from 'react-i18next';
const selector = createSelector(
[stateSelector],
@@ -34,6 +35,7 @@ const selector = createSelector(
);
const ImageGalleryContent = () => {
+ const { t } = useTranslation();
const resizeObserverRef = useRef<HTMLDivElement>(null);
const galleryGridRef = useRef<HTMLDivElement>(null);
const { galleryView } = useAppSelector(selector);
@@ -111,7 +113,7 @@ const ImageGalleryContent = () => {
leftIcon={<FaImages />}
data-testid="images-tab"
>
- Images
+ {t('gallery.images')}
</Tab>
<Tab
as={IAIButton}
@@ -124,7 +126,7 @@ const ImageGalleryContent = () => {
leftIcon={<FaServer />}
data-testid="assets-tab"
>
- Assets
+ {t('gallery.assets')}
</Tab>
</ButtonGroup>
</TabList>
diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
index 8c7e69b2b1..e9cb3ffcaf 100644
--- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
+++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataViewer.tsx
@@ -18,6 +18,7 @@ import ImageMetadataActions from './ImageMetadataActions';
import { useAppSelector } from '../../../../app/store/storeHooks';
import { configSelector } from '../../../system/store/configSelectors';
import { useTranslation } from 'react-i18next';
+import ScrollableContent from 'features/nodes/components/sidePanel/ScrollableContent';
type ImageMetadataViewerProps = {
image: ImageDTO;
@@ -65,19 +66,32 @@ const ImageMetadataViewer = ({ image }: ImageMetadataViewerProps) => {
</Link>
</Flex>
- <ImageMetadataActions metadata={metadata} />
-
<Tabs
variant="line"
- sx={{ display: 'flex', flexDir: 'column', w: 'full', h: 'full' }}
+ sx={{
+ display: 'flex',
+ flexDir: 'column',
+ w: 'full',
+ h: 'full',
+ }}
>
<TabList>
+ <Tab>{t('metadata.recallParameters')}</Tab>
<Tab>{t('metadata.metadata')}</Tab>
<Tab>{t('metadata.imageDetails')}</Tab>
<Tab>{t('metadata.workflow')}</Tab>
</TabList>
<TabPanels>
+ <TabPanel>
+ {metadata ? (
+ <ScrollableContent>
+ <ImageMetadataActions metadata={metadata} />
+ </ScrollableContent>
+ ) : (
+ <IAINoContentFallback label={t('metadata.noRecallParameters')} />
+ )}
+ </TabPanel>
<TabPanel>
{metadata ? (
<DataViewer data={metadata} label={t('metadata.metadata')} />
diff --git a/invokeai/frontend/web/src/features/lora/components/ParamLoraCollapse.tsx b/invokeai/frontend/web/src/features/lora/components/ParamLoraCollapse.tsx
index c2edd94106..4f6fe26f1d 100644
--- a/invokeai/frontend/web/src/features/lora/components/ParamLoraCollapse.tsx
+++ b/invokeai/frontend/web/src/features/lora/components/ParamLoraCollapse.tsx
@@ -9,6 +9,7 @@ import { memo } from 'react';
import { useFeatureStatus } from '../../system/hooks/useFeatureStatus';
import ParamLoraList from './ParamLoraList';
import ParamLoRASelect from './ParamLoraSelect';
+import { useTranslation } from 'react-i18next';
const selector = createSelector(
stateSelector,
@@ -22,6 +23,7 @@ const selector = createSelector(
);
const ParamLoraCollapse = () => {
+ const { t } = useTranslation();
const { activeLabel } = useAppSelector(selector);
const isLoraEnabled = useFeatureStatus('lora').isFeatureEnabled;
@@ -31,7 +33,7 @@ const ParamLoraCollapse = () => {
}
return (
- <IAICollapse label="LoRA" activeLabel={activeLabel}>
+ <IAICollapse label={t('modelManager.loraModels')} activeLabel={activeLabel}>
<Flex sx={{ flexDir: 'column', gap: 2 }}>
<ParamLoRASelect />
<ParamLoraList />
diff --git a/invokeai/frontend/web/src/features/nodes/types/types.ts b/invokeai/frontend/web/src/features/nodes/types/types.ts
index f7ef848211..87c716bb81 100644
--- a/invokeai/frontend/web/src/features/nodes/types/types.ts
+++ b/invokeai/frontend/web/src/features/nodes/types/types.ts
@@ -10,7 +10,7 @@ import {
} from 'features/parameters/types/parameterSchemas';
import i18n from 'i18next';
import { has, keyBy } from 'lodash-es';
-import { OpenAPIV3 } from 'openapi-types';
+import { OpenAPIV3_1 } from 'openapi-types';
import { RgbaColor } from 'react-colorful';
import { Node } from 'reactflow';
import { Graph, _InputField, _OutputField } from 'services/api/types';
@@ -791,9 +791,9 @@ export type IntegerInputFieldTemplate = InputFieldTemplateBase & {
default: number;
multipleOf?: number;
maximum?: number;
- exclusiveMaximum?: boolean;
+ exclusiveMaximum?: number;
minimum?: number;
- exclusiveMinimum?: boolean;
+ exclusiveMinimum?: number;
};
export type IntegerCollectionInputFieldTemplate = InputFieldTemplateBase & {
@@ -814,9 +814,9 @@ export type FloatInputFieldTemplate = InputFieldTemplateBase & {
default: number;
multipleOf?: number;
maximum?: number;
- exclusiveMaximum?: boolean;
+ exclusiveMaximum?: number;
minimum?: number;
- exclusiveMinimum?: boolean;
+ exclusiveMinimum?: number;
};
export type FloatCollectionInputFieldTemplate = InputFieldTemplateBase & {
@@ -1163,20 +1163,20 @@ export type TypeHints = {
};
export type InvocationSchemaExtra = {
- output: OpenAPIV3.ReferenceObject; // the output of the invocation
+ output: OpenAPIV3_1.ReferenceObject; // the output of the invocation
title: string;
category?: string;
tags?: string[];
version?: string;
properties: Omit<
- NonNullable<OpenAPIV3.SchemaObject['properties']> &
+ NonNullable<OpenAPIV3_1.SchemaObject['properties']> &
(_InputField | _OutputField),
'type'
> & {
- type: Omit<OpenAPIV3.SchemaObject, 'default'> & {
+ type: Omit<OpenAPIV3_1.SchemaObject, 'default'> & {
default: AnyInvocationType;
};
- use_cache: Omit<OpenAPIV3.SchemaObject, 'default'> & {
+ use_cache: Omit<OpenAPIV3_1.SchemaObject, 'default'> & {
default: boolean;
};
};
@@ -1187,17 +1187,17 @@ export type InvocationSchemaType = {
};
export type InvocationBaseSchemaObject = Omit<
- OpenAPIV3.BaseSchemaObject,
+ OpenAPIV3_1.BaseSchemaObject,
'title' | 'type' | 'properties'
> &
InvocationSchemaExtra;
export type InvocationOutputSchemaObject = Omit<
- OpenAPIV3.SchemaObject,
+ OpenAPIV3_1.SchemaObject,
'properties'
> & {
- properties: OpenAPIV3.SchemaObject['properties'] & {
- type: Omit<OpenAPIV3.SchemaObject, 'default'> & {
+ properties: OpenAPIV3_1.SchemaObject['properties'] & {
+ type: Omit<OpenAPIV3_1.SchemaObject, 'default'> & {
default: string;
};
} & {
@@ -1205,14 +1205,18 @@ export type InvocationOutputSchemaObject = Omit<
};
};
-export type InvocationFieldSchema = OpenAPIV3.SchemaObject & _InputField;
+export type InvocationFieldSchema = OpenAPIV3_1.SchemaObject & _InputField;
+
+export type OpenAPIV3_1SchemaOrRef =
+ | OpenAPIV3_1.ReferenceObject
+ | OpenAPIV3_1.SchemaObject;
export interface ArraySchemaObject extends InvocationBaseSchemaObject {
- type: OpenAPIV3.ArraySchemaObjectType;
- items: OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject;
+ type: OpenAPIV3_1.ArraySchemaObjectType;
+ items: OpenAPIV3_1.ReferenceObject | OpenAPIV3_1.SchemaObject;
}
export interface NonArraySchemaObject extends InvocationBaseSchemaObject {
- type?: OpenAPIV3.NonArraySchemaObjectType;
+ type?: OpenAPIV3_1.NonArraySchemaObjectType;
}
export type InvocationSchemaObject = (
@@ -1221,41 +1225,41 @@ export type InvocationSchemaObject = (
) & { class: 'invocation' };
export const isSchemaObject = (
- obj: OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject | undefined
-): obj is OpenAPIV3.SchemaObject => Boolean(obj && !('$ref' in obj));
+ obj: OpenAPIV3_1.ReferenceObject | OpenAPIV3_1.SchemaObject | undefined
+): obj is OpenAPIV3_1.SchemaObject => Boolean(obj && !('$ref' in obj));
export const isArraySchemaObject = (
- obj: OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject | undefined
-): obj is OpenAPIV3.ArraySchemaObject =>
+ obj: OpenAPIV3_1.ReferenceObject | OpenAPIV3_1.SchemaObject | undefined
+): obj is OpenAPIV3_1.ArraySchemaObject =>
Boolean(obj && !('$ref' in obj) && obj.type === 'array');
export const isNonArraySchemaObject = (
- obj: OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject | undefined
-): obj is OpenAPIV3.NonArraySchemaObject =>
+ obj: OpenAPIV3_1.ReferenceObject | OpenAPIV3_1.SchemaObject | undefined
+): obj is OpenAPIV3_1.NonArraySchemaObject =>
Boolean(obj && !('$ref' in obj) && obj.type !== 'array');
export const isRefObject = (
- obj: OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject | undefined
-): obj is OpenAPIV3.ReferenceObject => Boolean(obj && '$ref' in obj);
+ obj: OpenAPIV3_1.ReferenceObject | OpenAPIV3_1.SchemaObject | undefined
+): obj is OpenAPIV3_1.ReferenceObject => Boolean(obj && '$ref' in obj);
export const isInvocationSchemaObject = (
obj:
- | OpenAPIV3.ReferenceObject
- | OpenAPIV3.SchemaObject
+ | OpenAPIV3_1.ReferenceObject
+ | OpenAPIV3_1.SchemaObject
| InvocationSchemaObject
): obj is InvocationSchemaObject =>
'class' in obj && obj.class === 'invocation';
export const isInvocationOutputSchemaObject = (
obj:
- | OpenAPIV3.ReferenceObject
- | OpenAPIV3.SchemaObject
+ | OpenAPIV3_1.ReferenceObject
+ | OpenAPIV3_1.SchemaObject
| InvocationOutputSchemaObject
): obj is InvocationOutputSchemaObject =>
'class' in obj && obj.class === 'output';
export const isInvocationFieldSchema = (
- obj: OpenAPIV3.ReferenceObject | OpenAPIV3.SchemaObject
+ obj: OpenAPIV3_1.ReferenceObject | OpenAPIV3_1.SchemaObject
): obj is InvocationFieldSchema => !('$ref' in obj);
export type InvocationEdgeExtra = { type: 'default' | 'collapsed' };
diff --git a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
index 1f7fe81620..3fd44207c0 100644
--- a/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/fieldTemplateBuilders.ts
@@ -1,5 +1,12 @@
-import { isBoolean, isInteger, isNumber, isString } from 'lodash-es';
-import { OpenAPIV3 } from 'openapi-types';
+import {
+ isArray,
+ isBoolean,
+ isInteger,
+ isNumber,
+ isString,
+ startCase,
+} from 'lodash-es';
+import { OpenAPIV3_1 } from 'openapi-types';
import {
COLLECTION_MAP,
POLYMORPHIC_TYPES,
@@ -72,6 +79,7 @@ import {
T2IAdapterCollectionInputFieldTemplate,
BoardInputFieldTemplate,
InputFieldTemplate,
+ OpenAPIV3_1SchemaOrRef,
} from '../types/types';
import { ControlField } from 'services/api/types';
@@ -90,7 +98,7 @@ export type BuildInputFieldArg = {
* @example
* refObjectToFieldType({ "$ref": "#/components/schemas/ImageField" }) --> 'ImageField'
*/
-export const refObjectToSchemaName = (refObject: OpenAPIV3.ReferenceObject) =>
+export const refObjectToSchemaName = (refObject: OpenAPIV3_1.ReferenceObject) =>
refObject.$ref.split('/').slice(-1)[0];
const buildIntegerInputFieldTemplate = ({
@@ -111,7 +119,10 @@ const buildIntegerInputFieldTemplate = ({
template.maximum = schemaObject.maximum;
}
- if (schemaObject.exclusiveMaximum !== undefined) {
+ if (
+ schemaObject.exclusiveMaximum !== undefined &&
+ isNumber(schemaObject.exclusiveMaximum)
+ ) {
template.exclusiveMaximum = schemaObject.exclusiveMaximum;
}
@@ -119,7 +130,10 @@ const buildIntegerInputFieldTemplate = ({
template.minimum = schemaObject.minimum;
}
- if (schemaObject.exclusiveMinimum !== undefined) {
+ if (
+ schemaObject.exclusiveMinimum !== undefined &&
+ isNumber(schemaObject.exclusiveMinimum)
+ ) {
template.exclusiveMinimum = schemaObject.exclusiveMinimum;
}
@@ -144,7 +158,10 @@ const buildIntegerPolymorphicInputFieldTemplate = ({
template.maximum = schemaObject.maximum;
}
- if (schemaObject.exclusiveMaximum !== undefined) {
+ if (
+ schemaObject.exclusiveMaximum !== undefined &&
+ isNumber(schemaObject.exclusiveMaximum)
+ ) {
template.exclusiveMaximum = schemaObject.exclusiveMaximum;
}
@@ -152,7 +169,10 @@ const buildIntegerPolymorphicInputFieldTemplate = ({
template.minimum = schemaObject.minimum;
}
- if (schemaObject.exclusiveMinimum !== undefined) {
+ if (
+ schemaObject.exclusiveMinimum !== undefined &&
+ isNumber(schemaObject.exclusiveMinimum)
+ ) {
template.exclusiveMinimum = schemaObject.exclusiveMinimum;
}
@@ -195,7 +215,10 @@ const buildFloatInputFieldTemplate = ({
template.maximum = schemaObject.maximum;
}
- if (schemaObject.exclusiveMaximum !== undefined) {
+ if (
+ schemaObject.exclusiveMaximum !== undefined &&
+ isNumber(schemaObject.exclusiveMaximum)
+ ) {
template.exclusiveMaximum = schemaObject.exclusiveMaximum;
}
@@ -203,7 +226,10 @@ const buildFloatInputFieldTemplate = ({
template.minimum = schemaObject.minimum;
}
- if (schemaObject.exclusiveMinimum !== undefined) {
+ if (
+ schemaObject.exclusiveMinimum !== undefined &&
+ isNumber(schemaObject.exclusiveMinimum)
+ ) {
template.exclusiveMinimum = schemaObject.exclusiveMinimum;
}
@@ -227,7 +253,10 @@ const buildFloatPolymorphicInputFieldTemplate = ({
template.maximum = schemaObject.maximum;
}
- if (schemaObject.exclusiveMaximum !== undefined) {
+ if (
+ schemaObject.exclusiveMaximum !== undefined &&
+ isNumber(schemaObject.exclusiveMaximum)
+ ) {
template.exclusiveMaximum = schemaObject.exclusiveMaximum;
}
@@ -235,7 +264,10 @@ const buildFloatPolymorphicInputFieldTemplate = ({
template.minimum = schemaObject.minimum;
}
- if (schemaObject.exclusiveMinimum !== undefined) {
+ if (
+ schemaObject.exclusiveMinimum !== undefined &&
+ isNumber(schemaObject.exclusiveMinimum)
+ ) {
template.exclusiveMinimum = schemaObject.exclusiveMinimum;
}
return template;
@@ -872,84 +904,106 @@ const buildSchedulerInputFieldTemplate = ({
};
export const getFieldType = (
- schemaObject: InvocationFieldSchema
+ schemaObject: OpenAPIV3_1SchemaOrRef
): string | undefined => {
- if (schemaObject?.ui_type) {
- return schemaObject.ui_type;
- } else if (!schemaObject.type) {
- // if schemaObject has no type, then it should have one of allOf, anyOf, oneOf
+ if (isSchemaObject(schemaObject)) {
+ if (!schemaObject.type) {
+ // if schemaObject has no type, then it should have one of allOf, anyOf, oneOf
- if (schemaObject.allOf) {
- const allOf = schemaObject.allOf;
- if (allOf && allOf[0] && isRefObject(allOf[0])) {
- return refObjectToSchemaName(allOf[0]);
- }
- } else if (schemaObject.anyOf) {
- const anyOf = schemaObject.anyOf;
- /**
- * Handle Polymorphic inputs, eg string | string[]. In OpenAPI, this is:
- * - an `anyOf` with two items
- * - one is an `ArraySchemaObject` with a single `SchemaObject or ReferenceObject` of type T in its `items`
- * - the other is a `SchemaObject` or `ReferenceObject` of type T
- *
- * Any other cases we ignore.
- */
-
- let firstType: string | undefined;
- let secondType: string | undefined;
-
- if (isArraySchemaObject(anyOf[0])) {
- // first is array, second is not
- const first = anyOf[0].items;
- const second = anyOf[1];
- if (isRefObject(first) && isRefObject(second)) {
- firstType = refObjectToSchemaName(first);
- secondType = refObjectToSchemaName(second);
- } else if (
- isNonArraySchemaObject(first) &&
- isNonArraySchemaObject(second)
- ) {
- firstType = first.type;
- secondType = second.type;
+ if (schemaObject.allOf) {
+ const allOf = schemaObject.allOf;
+ if (allOf && allOf[0] && isRefObject(allOf[0])) {
+ return refObjectToSchemaName(allOf[0]);
}
- } else if (isArraySchemaObject(anyOf[1])) {
- // first is not array, second is
- const first = anyOf[0];
- const second = anyOf[1].items;
- if (isRefObject(first) && isRefObject(second)) {
- firstType = refObjectToSchemaName(first);
- secondType = refObjectToSchemaName(second);
- } else if (
- isNonArraySchemaObject(first) &&
- isNonArraySchemaObject(second)
- ) {
- firstType = first.type;
- secondType = second.type;
+ } else if (schemaObject.anyOf) {
+ // ignore null types
+ const anyOf = schemaObject.anyOf.filter((i) => {
+ if (isSchemaObject(i)) {
+ if (i.type === 'null') {
+ return false;
+ }
+ }
+ return true;
+ });
+ if (anyOf.length === 1) {
+ if (isRefObject(anyOf[0])) {
+ return refObjectToSchemaName(anyOf[0]);
+ } else if (isSchemaObject(anyOf[0])) {
+ return getFieldType(anyOf[0]);
+ }
+ }
+ /**
+ * Handle Polymorphic inputs, eg string | string[]. In OpenAPI, this is:
+ * - an `anyOf` with two items
+ * - one is an `ArraySchemaObject` with a single `SchemaObject or ReferenceObject` of type T in its `items`
+ * - the other is a `SchemaObject` or `ReferenceObject` of type T
+ *
+ * Any other cases we ignore.
+ */
+
+ let firstType: string | undefined;
+ let secondType: string | undefined;
+
+ if (isArraySchemaObject(anyOf[0])) {
+ // first is array, second is not
+ const first = anyOf[0].items;
+ const second = anyOf[1];
+ if (isRefObject(first) && isRefObject(second)) {
+ firstType = refObjectToSchemaName(first);
+ secondType = refObjectToSchemaName(second);
+ } else if (
+ isNonArraySchemaObject(first) &&
+ isNonArraySchemaObject(second)
+ ) {
+ firstType = first.type;
+ secondType = second.type;
+ }
+ } else if (isArraySchemaObject(anyOf[1])) {
+ // first is not array, second is
+ const first = anyOf[0];
+ const second = anyOf[1].items;
+ if (isRefObject(first) && isRefObject(second)) {
+ firstType = refObjectToSchemaName(first);
+ secondType = refObjectToSchemaName(second);
+ } else if (
+ isNonArraySchemaObject(first) &&
+ isNonArraySchemaObject(second)
+ ) {
+ firstType = first.type;
+ secondType = second.type;
+ }
+ }
+ if (firstType === secondType && isPolymorphicItemType(firstType)) {
+ return SINGLE_TO_POLYMORPHIC_MAP[firstType];
}
}
- if (firstType === secondType && isPolymorphicItemType(firstType)) {
- return SINGLE_TO_POLYMORPHIC_MAP[firstType];
+ } else if (schemaObject.enum) {
+ return 'enum';
+ } else if (schemaObject.type) {
+ if (schemaObject.type === 'number') {
+ // floats are "number" in OpenAPI, while ints are "integer" - we need to distinguish them
+ return 'float';
+ } else if (schemaObject.type === 'array') {
+ const itemType = isSchemaObject(schemaObject.items)
+ ? schemaObject.items.type
+ : refObjectToSchemaName(schemaObject.items);
+
+ if (isArray(itemType)) {
+ // This is a nested array, which we don't support
+ return;
+ }
+
+ if (isCollectionItemType(itemType)) {
+ return COLLECTION_MAP[itemType];
+ }
+
+ return;
+ } else if (!isArray(schemaObject.type)) {
+ return schemaObject.type;
}
}
- } else if (schemaObject.enum) {
- return 'enum';
- } else if (schemaObject.type) {
- if (schemaObject.type === 'number') {
- // floats are "number" in OpenAPI, while ints are "integer" - we need to distinguish them
- return 'float';
- } else if (schemaObject.type === 'array') {
- const itemType = isSchemaObject(schemaObject.items)
- ? schemaObject.items.type
- : refObjectToSchemaName(schemaObject.items);
-
- if (isCollectionItemType(itemType)) {
- return COLLECTION_MAP[itemType];
- }
-
- return;
- } else {
- return schemaObject.type;
- }
+ } else if (isRefObject(schemaObject)) {
+ return refObjectToSchemaName(schemaObject);
}
return;
};
@@ -1025,7 +1079,15 @@ export const buildInputFieldTemplate = (
name: string,
fieldType: FieldType
) => {
- const { input, ui_hidden, ui_component, ui_type, ui_order } = fieldSchema;
+ const {
+ input,
+ ui_hidden,
+ ui_component,
+ ui_type,
+ ui_order,
+ ui_choice_labels,
+ item_default,
+ } = fieldSchema;
const extra = {
// TODO: Can we support polymorphic inputs in the UI?
@@ -1035,11 +1097,13 @@ export const buildInputFieldTemplate = (
ui_type,
required: nodeSchema.required?.includes(name) ?? false,
ui_order,
+ ui_choice_labels,
+ item_default,
};
const baseField = {
name,
- title: fieldSchema.title ?? '',
+ title: fieldSchema.title ?? (name ? startCase(name) : ''),
description: fieldSchema.description ?? '',
fieldKind: 'input' as const,
...extra,
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addHrfToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addHrfToGraph.ts
new file mode 100644
index 0000000000..4b4a8a8a03
--- /dev/null
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addHrfToGraph.ts
@@ -0,0 +1,247 @@
+import { RootState } from 'app/store/store';
+import { NonNullableGraph } from 'features/nodes/types/types';
+import {
+ DenoiseLatentsInvocation,
+ ResizeLatentsInvocation,
+ NoiseInvocation,
+ LatentsToImageInvocation,
+ Edge,
+} from 'services/api/types';
+import {
+ LATENTS_TO_IMAGE,
+ DENOISE_LATENTS,
+ NOISE,
+ MAIN_MODEL_LOADER,
+ METADATA_ACCUMULATOR,
+ LATENTS_TO_IMAGE_HRF,
+ DENOISE_LATENTS_HRF,
+ RESCALE_LATENTS,
+ NOISE_HRF,
+ VAE_LOADER,
+} from './constants';
+import { logger } from 'app/logging/logger';
+
+// Copy certain connections from previous DENOISE_LATENTS to new DENOISE_LATENTS_HRF.
+function copyConnectionsToDenoiseLatentsHrf(graph: NonNullableGraph): void {
+ const destinationFields = [
+ 'vae',
+ 'control',
+ 'ip_adapter',
+ 'metadata',
+ 'unet',
+ 'positive_conditioning',
+ 'negative_conditioning',
+ ];
+ const newEdges: Edge[] = [];
+
+ // Loop through the existing edges connected to DENOISE_LATENTS
+ graph.edges.forEach((edge: Edge) => {
+ if (
+ edge.destination.node_id === DENOISE_LATENTS &&
+ destinationFields.includes(edge.destination.field)
+ ) {
+ // Add a similar connection to DENOISE_LATENTS_HRF
+ newEdges.push({
+ source: {
+ node_id: edge.source.node_id,
+ field: edge.source.field,
+ },
+ destination: {
+ node_id: DENOISE_LATENTS_HRF,
+ field: edge.destination.field,
+ },
+ });
+ }
+ });
+ graph.edges = graph.edges.concat(newEdges);
+}
+
+// Adds the high-res fix feature to the given graph.
+export const addHrfToGraph = (
+ state: RootState,
+ graph: NonNullableGraph
+): void => {
+ // Double check hrf is enabled.
+ if (
+ !state.generation.hrfEnabled ||
+ state.config.disabledSDFeatures.includes('hrf') ||
+ state.generation.model?.model_type === 'onnx' // TODO: ONNX support
+ ) {
+ return;
+ }
+ const log = logger('txt2img');
+
+ const { vae } = state.generation;
+ const isAutoVae = !vae;
+ const hrfWidth = state.generation.hrfWidth;
+ const hrfHeight = state.generation.hrfHeight;
+
+ // Pre-existing (original) graph nodes.
+ const originalDenoiseLatentsNode = graph.nodes[DENOISE_LATENTS] as
+ | DenoiseLatentsInvocation
+ | undefined;
+ const originalNoiseNode = graph.nodes[NOISE] as NoiseInvocation | undefined;
+ // Original latents to image should pick this up.
+ const originalLatentsToImageNode = graph.nodes[LATENTS_TO_IMAGE] as
+ | LatentsToImageInvocation
+ | undefined;
+ // Check if originalDenoiseLatentsNode is undefined and log an error
+ if (!originalDenoiseLatentsNode) {
+ log.error('originalDenoiseLatentsNode is undefined');
+ return;
+ }
+ // Check if originalNoiseNode is undefined and log an error
+ if (!originalNoiseNode) {
+ log.error('originalNoiseNode is undefined');
+ return;
+ }
+
+ // Check if originalLatentsToImageNode is undefined and log an error
+ if (!originalLatentsToImageNode) {
+ log.error('originalLatentsToImageNode is undefined');
+ return;
+ }
+ // Change height and width of original noise node to initial resolution.
+ if (originalNoiseNode) {
+ originalNoiseNode.width = hrfWidth;
+ originalNoiseNode.height = hrfHeight;
+ }
+
+ // Define new nodes.
+ // Denoise latents node to be run on upscaled latents.
+ const denoiseLatentsHrfNode: DenoiseLatentsInvocation = {
+ type: 'denoise_latents',
+ id: DENOISE_LATENTS_HRF,
+ is_intermediate: originalDenoiseLatentsNode?.is_intermediate,
+ cfg_scale: originalDenoiseLatentsNode?.cfg_scale,
+ scheduler: originalDenoiseLatentsNode?.scheduler,
+ steps: originalDenoiseLatentsNode?.steps,
+ denoising_start: 1 - state.generation.hrfStrength,
+ denoising_end: 1,
+ };
+
+ // New base resolution noise node.
+ const hrfNoiseNode: NoiseInvocation = {
+ type: 'noise',
+ id: NOISE_HRF,
+ seed: originalNoiseNode?.seed,
+ use_cpu: originalNoiseNode?.use_cpu,
+ is_intermediate: originalNoiseNode?.is_intermediate,
+ };
+
+ const rescaleLatentsNode: ResizeLatentsInvocation = {
+ id: RESCALE_LATENTS,
+ type: 'lresize',
+ width: state.generation.width,
+ height: state.generation.height,
+ };
+
+ // New node to convert latents to image.
+ const latentsToImageHrfNode: LatentsToImageInvocation | undefined =
+ originalLatentsToImageNode
+ ? {
+ type: 'l2i',
+ id: LATENTS_TO_IMAGE_HRF,
+ fp32: originalLatentsToImageNode?.fp32,
+ is_intermediate: originalLatentsToImageNode?.is_intermediate,
+ }
+ : undefined;
+
+ // Add new nodes to graph.
+ graph.nodes[LATENTS_TO_IMAGE_HRF] =
+ latentsToImageHrfNode as LatentsToImageInvocation;
+ graph.nodes[DENOISE_LATENTS_HRF] =
+ denoiseLatentsHrfNode as DenoiseLatentsInvocation;
+ graph.nodes[NOISE_HRF] = hrfNoiseNode as NoiseInvocation;
+ graph.nodes[RESCALE_LATENTS] = rescaleLatentsNode as ResizeLatentsInvocation;
+
+ // Connect nodes.
+ graph.edges.push(
+ {
+ // Set up rescale latents.
+ source: {
+ node_id: DENOISE_LATENTS,
+ field: 'latents',
+ },
+ destination: {
+ node_id: RESCALE_LATENTS,
+ field: 'latents',
+ },
+ },
+ // Set up new noise node
+ {
+ source: {
+ node_id: RESCALE_LATENTS,
+ field: 'height',
+ },
+ destination: {
+ node_id: NOISE_HRF,
+ field: 'height',
+ },
+ },
+ {
+ source: {
+ node_id: RESCALE_LATENTS,
+ field: 'width',
+ },
+ destination: {
+ node_id: NOISE_HRF,
+ field: 'width',
+ },
+ },
+ // Set up new denoise node.
+ {
+ source: {
+ node_id: RESCALE_LATENTS,
+ field: 'latents',
+ },
+ destination: {
+ node_id: DENOISE_LATENTS_HRF,
+ field: 'latents',
+ },
+ },
+ {
+ source: {
+ node_id: NOISE_HRF,
+ field: 'noise',
+ },
+ destination: {
+ node_id: DENOISE_LATENTS_HRF,
+ field: 'noise',
+ },
+ },
+ // Set up new latents to image node.
+ {
+ source: {
+ node_id: DENOISE_LATENTS_HRF,
+ field: 'latents',
+ },
+ destination: {
+ node_id: LATENTS_TO_IMAGE_HRF,
+ field: 'latents',
+ },
+ },
+ {
+ source: {
+ node_id: METADATA_ACCUMULATOR,
+ field: 'metadata',
+ },
+ destination: {
+ node_id: LATENTS_TO_IMAGE_HRF,
+ field: 'metadata',
+ },
+ },
+ {
+ source: {
+ node_id: isAutoVae ? MAIN_MODEL_LOADER : VAE_LOADER,
+ field: 'vae',
+ },
+ destination: {
+ node_id: LATENTS_TO_IMAGE_HRF,
+ field: 'vae',
+ },
+ }
+ );
+
+ copyConnectionsToDenoiseLatentsHrf(graph);
+};
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts
index 738c69faff..d5a6addf8a 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addSaveImageNode.ts
@@ -2,6 +2,7 @@ import { NonNullableGraph } from 'features/nodes/types/types';
import {
CANVAS_OUTPUT,
LATENTS_TO_IMAGE,
+ LATENTS_TO_IMAGE_HRF,
METADATA_ACCUMULATOR,
NSFW_CHECKER,
SAVE_IMAGE,
@@ -82,6 +83,14 @@ export const addSaveImageNode = (
},
destination,
});
+ } else if (LATENTS_TO_IMAGE_HRF in graph.nodes) {
+ graph.edges.push({
+ source: {
+ node_id: LATENTS_TO_IMAGE_HRF,
+ field: 'image',
+ },
+ destination,
+ });
} else if (LATENTS_TO_IMAGE in graph.nodes) {
graph.edges.push({
source: {
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addT2IAdapterToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addT2IAdapterToLinearGraph.ts
index f07edcb220..16dc5bbc71 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addT2IAdapterToLinearGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/addT2IAdapterToLinearGraph.ts
@@ -86,7 +86,7 @@ export const addT2IAdaptersToLinearGraph = (
graph.nodes[t2iAdapterNode.id] = t2iAdapterNode as T2IAdapterInvocation;
- if (metadataAccumulator?.ipAdapters) {
+ if (metadataAccumulator?.t2iAdapters) {
// metadata accumulator only needs a control field - not the whole node
// extract what we need and add to the accumulator
const t2iAdapterField = omit(t2iAdapterNode, [
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
index c3c7fcdf1b..e692e12fa4 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/buildLinearTextToImageGraph.ts
@@ -6,6 +6,7 @@ import {
ONNXTextToLatentsInvocation,
} from 'services/api/types';
import { addControlNetToLinearGraph } from './addControlNetToLinearGraph';
+import { addHrfToGraph } from './addHrfToGraph';
import { addIPAdapterToLinearGraph } from './addIPAdapterToLinearGraph';
import { addLoRAsToGraph } from './addLoRAsToGraph';
import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph';
@@ -47,6 +48,10 @@ export const buildLinearTextToImageGraph = (
seamlessXAxis,
seamlessYAxis,
seed,
+ hrfWidth,
+ hrfHeight,
+ hrfStrength,
+ hrfEnabled: hrfEnabled,
} = state.generation;
const use_cpu = shouldUseCpuNoise;
@@ -254,6 +259,9 @@ export const buildLinearTextToImageGraph = (
ipAdapters: [], // populated in addIPAdapterToLinearGraph
t2iAdapters: [], // populated in addT2IAdapterToLinearGraph
clip_skip: clipSkip,
+ hrf_width: hrfEnabled ? hrfWidth : undefined,
+ hrf_height: hrfEnabled ? hrfHeight : undefined,
+ hrf_strength: hrfEnabled ? hrfStrength : undefined,
};
graph.edges.push({
@@ -287,6 +295,12 @@ export const buildLinearTextToImageGraph = (
addT2IAdaptersToLinearGraph(state, graph, DENOISE_LATENTS);
+ // High resolution fix.
+ // NOTE: Not supported for onnx models.
+ if (state.generation.hrfEnabled && !isUsingOnnxModel) {
+ addHrfToGraph(state, graph);
+ }
+
// NSFW & watermark - must be last thing added to graph
if (state.system.shouldUseNSFWChecker) {
// must add before watermarker!
diff --git a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
index e538094731..7d547d09e6 100644
--- a/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/graphBuilders/constants.ts
@@ -2,11 +2,14 @@
export const POSITIVE_CONDITIONING = 'positive_conditioning';
export const NEGATIVE_CONDITIONING = 'negative_conditioning';
export const DENOISE_LATENTS = 'denoise_latents';
+export const DENOISE_LATENTS_HRF = 'denoise_latents_hrf';
export const LATENTS_TO_IMAGE = 'latents_to_image';
+export const LATENTS_TO_IMAGE_HRF = 'latents_to_image_hrf';
export const SAVE_IMAGE = 'save_image';
export const NSFW_CHECKER = 'nsfw_checker';
export const WATERMARKER = 'invisible_watermark';
export const NOISE = 'noise';
+export const NOISE_HRF = 'noise_hrf';
export const RANDOM_INT = 'rand_int';
export const RANGE_OF_SIZE = 'range_of_size';
export const ITERATE = 'iterate';
@@ -18,6 +21,7 @@ export const CLIP_SKIP = 'clip_skip';
export const IMAGE_TO_LATENTS = 'image_to_latents';
export const LATENTS_TO_LATENTS = 'latents_to_latents';
export const RESIZE = 'resize_image';
+export const RESCALE_LATENTS = 'rescale_latents';
export const IMG2IMG_RESIZE = 'img2img_resize';
export const CANVAS_OUTPUT = 'canvas_output';
export const INPAINT_IMAGE = 'inpaint_image';
diff --git a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
index 69d8d9dd4c..93cd75dd75 100644
--- a/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
+++ b/invokeai/frontend/web/src/features/nodes/util/parseSchema.ts
@@ -1,7 +1,7 @@
import { logger } from 'app/logging/logger';
import { parseify } from 'common/util/serialize';
-import { reduce } from 'lodash-es';
-import { OpenAPIV3 } from 'openapi-types';
+import { reduce, startCase } from 'lodash-es';
+import { OpenAPIV3_1 } from 'openapi-types';
import { AnyInvocationType } from 'services/events/types';
import {
FieldType,
@@ -60,7 +60,7 @@ const isNotInDenylist = (schema: InvocationSchemaObject) =>
!invocationDenylist.includes(schema.properties.type.default);
export const parseSchema = (
- openAPI: OpenAPIV3.Document,
+ openAPI: OpenAPIV3_1.Document,
nodesAllowlistExtra: string[] | undefined = undefined,
nodesDenylistExtra: string[] | undefined = undefined
): Record<string, InvocationTemplate> => {
@@ -110,7 +110,7 @@ export const parseSchema = (
return inputsAccumulator;
}
- const fieldType = getFieldType(property);
+ const fieldType = property.ui_type ?? getFieldType(property);
if (!isFieldType(fieldType)) {
logger('nodes').warn(
@@ -209,7 +209,7 @@ export const parseSchema = (
return outputsAccumulator;
}
- const fieldType = getFieldType(property);
+ const fieldType = property.ui_type ?? getFieldType(property);
if (!isFieldType(fieldType)) {
logger('nodes').warn(
@@ -222,7 +222,8 @@ export const parseSchema = (
outputsAccumulator[propertyName] = {
fieldKind: 'output',
name: propertyName,
- title: property.title ?? '',
+ title:
+ property.title ?? (propertyName ? startCase(propertyName) : ''),
description: property.description ?? '',
type: fieldType,
ui_hidden: property.ui_hidden ?? false,
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx
index 3a5cc264e7..19d707765b 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/Core/ParamAspectRatio.tsx
@@ -6,10 +6,11 @@ import {
setAspectRatio,
setShouldLockAspectRatio,
} from 'features/parameters/store/generationSlice';
+import i18next from 'i18next';
import { activeTabNameSelector } from '../../../../ui/store/uiSelectors';
const aspectRatios = [
- { name: 'Free', value: null },
+ { name: i18next.t('parameters.aspectRatioFree'), value: null },
{ name: '2:3', value: 2 / 3 },
{ name: '16:9', value: 16 / 9 },
{ name: '1:1', value: 1 / 1 },
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfCollapse.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfCollapse.tsx
new file mode 100644
index 0000000000..ef0db1af6d
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfCollapse.tsx
@@ -0,0 +1,65 @@
+import { Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { RootState, stateSelector } from 'app/store/store';
+import { useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAICollapse from 'common/components/IAICollapse';
+import { useMemo } from 'react';
+import ParamHrfStrength from './ParamHrfStrength';
+import ParamHrfToggle from './ParamHrfToggle';
+import ParamHrfWidth from './ParamHrfWidth';
+import ParamHrfHeight from './ParamHrfHeight';
+import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus';
+
+const selector = createSelector(
+ stateSelector,
+ (state: RootState) => {
+ const { hrfEnabled } = state.generation;
+
+ return { hrfEnabled };
+ },
+ defaultSelectorOptions
+);
+
+export default function ParamHrfCollapse() {
+ const isHRFFeatureEnabled = useFeatureStatus('hrf').isFeatureEnabled;
+ const { hrfEnabled } = useAppSelector(selector);
+ const activeLabel = useMemo(() => {
+ if (hrfEnabled) {
+ return 'On';
+ } else {
+ return 'Off';
+ }
+ }, [hrfEnabled]);
+
+ if (!isHRFFeatureEnabled) {
+ return null;
+ }
+
+ return (
+ <IAICollapse label="High Resolution Fix" activeLabel={activeLabel}>
+ <Flex sx={{ flexDir: 'column', gap: 2 }}>
+ <ParamHrfToggle />
+ {hrfEnabled && (
+ <Flex
+ sx={{
+ gap: 2,
+ p: 4,
+ borderRadius: 4,
+ flexDirection: 'column',
+ w: 'full',
+ bg: 'base.100',
+ _dark: {
+ bg: 'base.750',
+ },
+ }}
+ >
+ <ParamHrfWidth />
+ <ParamHrfHeight />
+ </Flex>
+ )}
+ {hrfEnabled && <ParamHrfStrength />}
+ </Flex>
+ </IAICollapse>
+ );
+}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfHeight.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfHeight.tsx
new file mode 100644
index 0000000000..053da11a5a
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfHeight.tsx
@@ -0,0 +1,87 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAISlider, { IAIFullSliderProps } from 'common/components/IAISlider';
+import { roundToMultiple } from 'common/util/roundDownToMultiple';
+import {
+ setHrfHeight,
+ setHrfWidth,
+} from 'features/parameters/store/generationSlice';
+import { memo, useCallback } from 'react';
+
+function findPrevMultipleOfEight(n: number): number {
+ return Math.floor((n - 1) / 8) * 8;
+}
+
+const selector = createSelector(
+ [stateSelector],
+ ({ generation, hotkeys, config }) => {
+ const { min, fineStep, coarseStep } = config.sd.height;
+ const { model, height, hrfHeight, aspectRatio, hrfEnabled } = generation;
+
+ const step = hotkeys.shift ? fineStep : coarseStep;
+
+ return {
+ model,
+ height,
+ hrfHeight,
+ min,
+ step,
+ aspectRatio,
+ hrfEnabled,
+ };
+ },
+ defaultSelectorOptions
+);
+
+type ParamHeightProps = Omit<
+ IAIFullSliderProps,
+ 'label' | 'value' | 'onChange'
+>;
+
+const ParamHrfHeight = (props: ParamHeightProps) => {
+ const { height, hrfHeight, min, step, aspectRatio, hrfEnabled } =
+ useAppSelector(selector);
+ const dispatch = useAppDispatch();
+ const maxHrfHeight = Math.max(findPrevMultipleOfEight(height), min);
+
+ const handleChange = useCallback(
+ (v: number) => {
+ dispatch(setHrfHeight(v));
+ if (aspectRatio) {
+ const newWidth = roundToMultiple(v * aspectRatio, 8);
+ dispatch(setHrfWidth(newWidth));
+ }
+ },
+ [dispatch, aspectRatio]
+ );
+
+ const handleReset = useCallback(() => {
+ dispatch(setHrfHeight(maxHrfHeight));
+ if (aspectRatio) {
+ const newWidth = roundToMultiple(maxHrfHeight * aspectRatio, 8);
+ dispatch(setHrfWidth(newWidth));
+ }
+ }, [dispatch, maxHrfHeight, aspectRatio]);
+
+ return (
+ <IAISlider
+ label="Initial Height"
+ value={hrfHeight}
+ min={min}
+ step={step}
+ max={maxHrfHeight}
+ onChange={handleChange}
+ handleReset={handleReset}
+ withInput
+ withReset
+ withSliderMarks
+ sliderNumberInputProps={{ max: maxHrfHeight }}
+ isDisabled={!hrfEnabled}
+ {...props}
+ />
+ );
+};
+
+export default memo(ParamHrfHeight);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfStrength.tsx
new file mode 100644
index 0000000000..ba17bc2f36
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfStrength.tsx
@@ -0,0 +1,64 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { useAppSelector, useAppDispatch } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import { memo, useCallback } from 'react';
+import { stateSelector } from 'app/store/store';
+import { setHrfStrength } from 'features/parameters/store/generationSlice';
+import IAISlider from 'common/components/IAISlider';
+
+const selector = createSelector(
+ [stateSelector],
+ ({ generation, hotkeys, config }) => {
+ const { initial, min, sliderMax, inputMax, fineStep, coarseStep } =
+ config.sd.hrfStrength;
+ const { hrfStrength, hrfEnabled } = generation;
+ const step = hotkeys.shift ? fineStep : coarseStep;
+
+ return {
+ hrfStrength,
+ initial,
+ min,
+ sliderMax,
+ inputMax,
+ step,
+ hrfEnabled,
+ };
+ },
+ defaultSelectorOptions
+);
+
+const ParamHrfStrength = () => {
+ const { hrfStrength, initial, min, sliderMax, step, hrfEnabled } =
+ useAppSelector(selector);
+ const dispatch = useAppDispatch();
+
+ const handleHrfStrengthReset = useCallback(() => {
+ dispatch(setHrfStrength(initial));
+ }, [dispatch, initial]);
+
+ const handleHrfStrengthChange = useCallback(
+ (v: number) => {
+ dispatch(setHrfStrength(v));
+ },
+ [dispatch]
+ );
+
+ return (
+ <IAISlider
+ label="Denoising Strength"
+ aria-label="High Resolution Denoising Strength"
+ min={min}
+ max={sliderMax}
+ step={step}
+ value={hrfStrength}
+ onChange={handleHrfStrengthChange}
+ withSliderMarks
+ withInput
+ withReset
+ handleReset={handleHrfStrengthReset}
+ isDisabled={!hrfEnabled}
+ />
+ );
+};
+
+export default memo(ParamHrfStrength);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfToggle.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfToggle.tsx
new file mode 100644
index 0000000000..8a68ead652
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfToggle.tsx
@@ -0,0 +1,27 @@
+import { RootState } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import IAISwitch from 'common/components/IAISwitch';
+import { setHrfEnabled } from 'features/parameters/store/generationSlice';
+import { ChangeEvent, useCallback } from 'react';
+
+export default function ParamHrfToggle() {
+ const dispatch = useAppDispatch();
+
+ const hrfEnabled = useAppSelector(
+ (state: RootState) => state.generation.hrfEnabled
+ );
+
+ const handleHrfEnabled = useCallback(
+ (e: ChangeEvent<HTMLInputElement>) =>
+ dispatch(setHrfEnabled(e.target.checked)),
+ [dispatch]
+ );
+
+ return (
+ <IAISwitch
+ label="Enable High Resolution Fix"
+ isChecked={hrfEnabled}
+ onChange={handleHrfEnabled}
+ />
+ );
+}
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfWidth.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfWidth.tsx
new file mode 100644
index 0000000000..09615d5154
--- /dev/null
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/HighResFix/ParamHrfWidth.tsx
@@ -0,0 +1,84 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { stateSelector } from 'app/store/store';
+import { useAppDispatch, useAppSelector } from 'app/store/storeHooks';
+import { defaultSelectorOptions } from 'app/store/util/defaultMemoizeOptions';
+import IAISlider, { IAIFullSliderProps } from 'common/components/IAISlider';
+import { roundToMultiple } from 'common/util/roundDownToMultiple';
+import {
+ setHrfHeight,
+ setHrfWidth,
+} from 'features/parameters/store/generationSlice';
+import { memo, useCallback } from 'react';
+
+function findPrevMultipleOfEight(n: number): number {
+ return Math.floor((n - 1) / 8) * 8;
+}
+
+const selector = createSelector(
+ [stateSelector],
+ ({ generation, hotkeys, config }) => {
+ const { min, fineStep, coarseStep } = config.sd.width;
+ const { model, width, hrfWidth, aspectRatio, hrfEnabled } = generation;
+
+ const step = hotkeys.shift ? fineStep : coarseStep;
+
+ return {
+ model,
+ width,
+ hrfWidth,
+ min,
+ step,
+ aspectRatio,
+ hrfEnabled,
+ };
+ },
+ defaultSelectorOptions
+);
+
+type ParamWidthProps = Omit<IAIFullSliderProps, 'label' | 'value' | 'onChange'>;
+
+const ParamHrfWidth = (props: ParamWidthProps) => {
+ const { width, hrfWidth, min, step, aspectRatio, hrfEnabled } =
+ useAppSelector(selector);
+ const dispatch = useAppDispatch();
+ const maxHrfWidth = Math.max(findPrevMultipleOfEight(width), min);
+
+ const handleChange = useCallback(
+ (v: number) => {
+ dispatch(setHrfWidth(v));
+ if (aspectRatio) {
+ const newHeight = roundToMultiple(v / aspectRatio, 8);
+ dispatch(setHrfHeight(newHeight));
+ }
+ },
+ [dispatch, aspectRatio]
+ );
+
+ const handleReset = useCallback(() => {
+ dispatch(setHrfWidth(maxHrfWidth));
+ if (aspectRatio) {
+ const newHeight = roundToMultiple(maxHrfWidth / aspectRatio, 8);
+ dispatch(setHrfHeight(newHeight));
+ }
+ }, [dispatch, maxHrfWidth, aspectRatio]);
+
+ return (
+ <IAISlider
+ label="Initial Width"
+ value={hrfWidth}
+ min={min}
+ step={step}
+ max={maxHrfWidth}
+ onChange={handleChange}
+ handleReset={handleReset}
+ withInput
+ withReset
+ withSliderMarks
+ sliderNumberInputProps={{ max: maxHrfWidth }}
+ isDisabled={!hrfEnabled}
+ {...props}
+ />
+ );
+};
+
+export default memo(ParamHrfWidth);
diff --git a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
index f71794394e..723e57a288 100644
--- a/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
+++ b/invokeai/frontend/web/src/features/parameters/components/Parameters/VAEModel/ParamVAEPrecision.tsx
@@ -7,6 +7,7 @@ import IAIMantineSelect from 'common/components/IAIMantineSelect';
import { vaePrecisionChanged } from 'features/parameters/store/generationSlice';
import { PrecisionParam } from 'features/parameters/types/parameterSchemas';
import { memo, useCallback } from 'react';
+import { useTranslation } from 'react-i18next';
const selector = createSelector(
stateSelector,
@@ -20,6 +21,7 @@ const selector = createSelector(
const DATA = ['fp16', 'fp32'];
const ParamVAEModelSelect = () => {
+ const { t } = useTranslation();
const dispatch = useAppDispatch();
const { vaePrecision } = useAppSelector(selector);
@@ -37,7 +39,7 @@ const ParamVAEModelSelect = () => {
return (
<IAIInformationalPopover feature="paramVAEPrecision">
<IAIMantineSelect
- label="VAE Precision"
+ label={t('modelManager.vaePrecision')}
value={vaePrecision}
data={DATA}
onChange={handleChange}
diff --git a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
index ea6aaf28ca..63d545662a 100644
--- a/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
+++ b/invokeai/frontend/web/src/features/parameters/store/generationSlice.ts
@@ -5,6 +5,7 @@ import { configChanged } from 'features/system/store/configSlice';
import { clamp } from 'lodash-es';
import { ImageDTO } from 'services/api/types';
+import { isAnyControlAdapterAdded } from 'features/controlAdapters/store/controlAdaptersSlice';
import { clipSkipMap } from '../types/constants';
import {
CanvasCoherenceModeParam,
@@ -26,6 +27,10 @@ import {
} from '../types/parameterSchemas';
export interface GenerationState {
+ hrfHeight: HeightParam;
+ hrfWidth: WidthParam;
+ hrfEnabled: boolean;
+ hrfStrength: StrengthParam;
cfgScale: CfgScaleParam;
height: HeightParam;
img2imgStrength: StrengthParam;
@@ -68,6 +73,10 @@ export interface GenerationState {
}
export const initialGenerationState: GenerationState = {
+ hrfHeight: 64,
+ hrfWidth: 64,
+ hrfStrength: 0.75,
+ hrfEnabled: false,
cfgScale: 7.5,
height: 512,
img2imgStrength: 0.75,
@@ -270,6 +279,18 @@ export const generationSlice = createSlice({
setClipSkip: (state, action: PayloadAction<number>) => {
state.clipSkip = action.payload;
},
+ setHrfHeight: (state, action: PayloadAction<number>) => {
+ state.hrfHeight = action.payload;
+ },
+ setHrfWidth: (state, action: PayloadAction<number>) => {
+ state.hrfWidth = action.payload;
+ },
+ setHrfStrength: (state, action: PayloadAction<number>) => {
+ state.hrfStrength = action.payload;
+ },
+ setHrfEnabled: (state, action: PayloadAction<boolean>) => {
+ state.hrfEnabled = action.payload;
+ },
shouldUseCpuNoiseChanged: (state, action: PayloadAction<boolean>) => {
state.shouldUseCpuNoise = action.payload;
},
@@ -302,6 +323,15 @@ export const generationSlice = createSlice({
}
}
});
+
+ // TODO: This is a temp fix to reduce issues with T2I adapter having a different downscaling
+ // factor than the UNet. Hopefully we get an upstream fix in diffusers.
+ builder.addMatcher(isAnyControlAdapterAdded, (state, action) => {
+ if (action.payload.type === 't2i_adapter') {
+ state.width = roundToMultiple(state.width, 64);
+ state.height = roundToMultiple(state.height, 64);
+ }
+ });
},
});
@@ -345,6 +375,10 @@ export const {
setSeamlessXAxis,
setSeamlessYAxis,
setClipSkip,
+ setHrfHeight,
+ setHrfWidth,
+ setHrfStrength,
+ setHrfEnabled,
shouldUseCpuNoiseChanged,
setAspectRatio,
setShouldLockAspectRatio,
diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
index e548b9aeaf..7a6b6b8a5c 100644
--- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
+++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts
@@ -210,6 +210,15 @@ export type HeightParam = z.infer<typeof zHeight>;
export const isValidHeight = (val: unknown): val is HeightParam =>
zHeight.safeParse(val).success;
+/**
+ * Zod schema for resolution parameter
+ */
+export const zResolution = z.tuple([zWidth, zHeight]);
+/**
+ * Type alias for resolution parameter, inferred from its zod schema
+ */
+export type ResolutionParam = z.infer<typeof zResolution>;
+
export const zBaseModel = z.enum([
'any',
'sd-1',
diff --git a/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx b/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx
index eccb2d4628..65e641116d 100644
--- a/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx
@@ -60,9 +60,9 @@ const QueueButtonTooltipContent = ({ prepend = false }: Props) => {
)}
<StyledDivider />
<Text fontWeight={400} fontStyle="oblique 10deg">
- Adding images to{' '}
+ {t('parameters.invoke.addingImagesTo')}{' '}
<Text as="span" fontWeight={600}>
- {autoAddBoardName || 'Uncategorized'}
+ {autoAddBoardName || t('boards.uncategorized')}
</Text>
</Text>
</Flex>
diff --git a/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx b/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx
index 9cc991335e..d441be4ecb 100644
--- a/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx
+++ b/invokeai/frontend/web/src/features/queue/components/common/QueueItemCard.tsx
@@ -7,7 +7,7 @@ const QueueItemCard = ({
session_queue_item,
label,
}: {
- session_queue_item?: components['schemas']['SessionQueueItem'];
+ session_queue_item?: components['schemas']['SessionQueueItem'] | null;
label: string;
}) => {
return (
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabCoreParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabCoreParameters.tsx
index dae462ad47..d107503dc6 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabCoreParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLImageToImageTabCoreParameters.tsx
@@ -14,6 +14,7 @@ import { generationSelector } from 'features/parameters/store/generationSelector
import { uiSelector } from 'features/ui/store/uiSelectors';
import { memo } from 'react';
import ParamSDXLImg2ImgDenoisingStrength from './ParamSDXLImg2ImgDenoisingStrength';
+import { useTranslation } from 'react-i18next';
const selector = createSelector(
[uiSelector, generationSelector],
@@ -29,10 +30,15 @@ const selector = createSelector(
);
const SDXLImageToImageTabCoreParameters = () => {
+ const { t } = useTranslation();
const { shouldUseSliders, activeLabel } = useAppSelector(selector);
return (
- <IAICollapse label="General" activeLabel={activeLabel} defaultIsOpen={true}>
+ <IAICollapse
+ label={t('parameters.general')}
+ activeLabel={activeLabel}
+ defaultIsOpen={true}
+ >
<Flex
sx={{
flexDirection: 'column',
diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabCoreParameters.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabCoreParameters.tsx
index 4cfbdeb895..30c71611fb 100644
--- a/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabCoreParameters.tsx
+++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLUnifiedCanvasTabCoreParameters.tsx
@@ -12,6 +12,7 @@ import ParamSteps from 'features/parameters/components/Parameters/Core/ParamStep
import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull';
import { memo } from 'react';
import ParamSDXLImg2ImgDenoisingStrength from './ParamSDXLImg2ImgDenoisingStrength';
+import { useTranslation } from 'react-i18next';
const selector = createSelector(
stateSelector,
@@ -27,10 +28,15 @@ const selector = createSelector(
);
const SDXLUnifiedCanvasTabCoreParameters = () => {
+ const { t } = useTranslation();
const { shouldUseSliders, activeLabel } = useAppSelector(selector);
return (
- <IAICollapse label="General" activeLabel={activeLabel} defaultIsOpen={true}>
+ <IAICollapse
+ label={t('parameters.general')}
+ activeLabel={activeLabel}
+ defaultIsOpen={true}
+ >
<Flex
sx={{
flexDirection: 'column',
diff --git a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsClearIntermediates.tsx b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsClearIntermediates.tsx
index b25fe6274e..fbe5692431 100644
--- a/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsClearIntermediates.tsx
+++ b/invokeai/frontend/web/src/features/system/components/SettingsModal/SettingsClearIntermediates.tsx
@@ -2,6 +2,8 @@ import { Heading, Text } from '@chakra-ui/react';
import { useAppDispatch } from 'app/store/storeHooks';
import { controlAdaptersReset } from 'features/controlAdapters/store/controlAdaptersSlice';
import { useCallback, useEffect } from 'react';
+import { useTranslation } from 'react-i18next';
+import { useGetQueueStatusQuery } from 'services/api/endpoints/queue';
import IAIButton from '../../../../common/components/IAIButton';
import {
useClearIntermediatesMutation,
@@ -12,6 +14,7 @@ import { addToast } from '../../store/systemSlice';
import StyledFlex from './StyledFlex';
export default function SettingsClearIntermediates() {
+ const { t } = useTranslation();
const dispatch = useAppDispatch();
const { data: intermediatesCount, refetch: updateIntermediatesCount } =
@@ -20,52 +23,62 @@ export default function SettingsClearIntermediates() {
const [clearIntermediates, { isLoading: isLoadingClearIntermediates }] =
useClearIntermediatesMutation();
+ const { data: queueStatus } = useGetQueueStatusQuery();
+ const hasPendingItems =
+ queueStatus &&
+ (queueStatus.queue.in_progress > 0 || queueStatus.queue.pending > 0);
+
const handleClickClearIntermediates = useCallback(() => {
+ if (hasPendingItems) {
+ return;
+ }
+
clearIntermediates()
.unwrap()
- .then((response) => {
+ .then((clearedCount) => {
dispatch(controlAdaptersReset());
dispatch(resetCanvas());
dispatch(
addToast({
- title: `Cleared ${response} intermediates`,
+ title: t('settings.intermediatesCleared', { count: clearedCount }),
status: 'info',
})
);
+ })
+ .catch(() => {
+ dispatch(
+ addToast({
+ title: t('settings.intermediatesClearedFailed'),
+ status: 'error',
+ })
+ );
});
- }, [clearIntermediates, dispatch]);
+ }, [t, clearIntermediates, dispatch, hasPendingItems]);
useEffect(() => {
// update the count on mount
updateIntermediatesCount();
}, [updateIntermediatesCount]);
- const buttonText = intermediatesCount
- ? `Clear ${intermediatesCount} Intermediate${
- intermediatesCount > 1 ? 's' : ''
- }`
- : 'No Intermediates to Clear';
-
return (
<StyledFlex>
- <Heading size="sm">Clear Intermediates</Heading>
+ <Heading size="sm">{t('settings.clearIntermediates')}</Heading>
<IAIButton
+ tooltip={
+ hasPendingItems ? t('settings.clearIntermediatesDisabled') : undefined
+ }
colorScheme="warning"
onClick={handleClickClearIntermediates}
isLoading={isLoadingClearIntermediates}
- isDisabled={!intermediatesCount}
+ isDisabled={!intermediatesCount || hasPendingItems}
>
- {buttonText}
+ {t('settings.clearIntermediatesWithCount', {
+ count: intermediatesCount ?? 0,
+ })}
</IAIButton>
- <Text fontWeight="bold">
- Clearing intermediates will reset your Canvas and ControlNet state.
- </Text>
- <Text variant="subtext">
- Intermediate images are byproducts of generation, different from the
- result images in the gallery. Clearing intermediates will free disk
- space.
- </Text>
- <Text variant="subtext">Your gallery images will not be deleted.</Text>
+ <Text fontWeight="bold">{t('settings.clearIntermediatesDesc1')}</Text>
+ <Text variant="subtext">{t('settings.clearIntermediatesDesc2')}</Text>
+ <Text variant="subtext">{t('settings.clearIntermediatesDesc3')}</Text>
</StyledFlex>
);
}
diff --git a/invokeai/frontend/web/src/features/system/store/configSlice.ts b/invokeai/frontend/web/src/features/system/store/configSlice.ts
index 8a20b050ed..78d540203b 100644
--- a/invokeai/frontend/web/src/features/system/store/configSlice.ts
+++ b/invokeai/frontend/web/src/features/system/store/configSlice.ts
@@ -7,7 +7,7 @@ export const initialConfigState: AppConfig = {
shouldUpdateImagesOnConnect: false,
shouldFetchMetadataFromApi: false,
disabledTabs: [],
- disabledFeatures: ['lightbox', 'faceRestore', 'batches'],
+ disabledFeatures: ['lightbox', 'faceRestore', 'batches', 'bulkDownload'],
disabledSDFeatures: [
'variation',
'symmetry',
@@ -69,6 +69,14 @@ export const initialConfigState: AppConfig = {
fineStep: 0.01,
coarseStep: 0.05,
},
+ hrfStrength: {
+ initial: 0.7,
+ min: 0,
+ sliderMax: 1,
+ inputMax: 1,
+ fineStep: 0.01,
+ coarseStep: 0.05,
+ },
dynamicPrompts: {
maxPrompts: {
initial: 100,
diff --git a/invokeai/frontend/web/src/features/system/util/copyBlobToClipboard.ts b/invokeai/frontend/web/src/features/system/util/copyBlobToClipboard.ts
index cf59f2a687..b5e896f3bf 100644
--- a/invokeai/frontend/web/src/features/system/util/copyBlobToClipboard.ts
+++ b/invokeai/frontend/web/src/features/system/util/copyBlobToClipboard.ts
@@ -2,7 +2,7 @@
* Copies a blob to the clipboard by calling navigator.clipboard.write().
*/
export const copyBlobToClipboard = (
- blob: Promise<Blob>,
+ blob: Promise<Blob> | Blob,
type = 'image/png'
) => {
navigator.clipboard.write([
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters.tsx
index 46054fcafd..2668062da6 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ImageToImage/ImageToImageTabCoreParameters.tsx
@@ -11,14 +11,16 @@ import ImageToImageStrength from 'features/parameters/components/Parameters/Imag
import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull';
import { useCoreParametersCollapseLabel } from 'features/parameters/util/useCoreParametersCollapseLabel';
import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
const ImageToImageTabCoreParameters = () => {
+ const { t } = useTranslation();
const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders);
const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel();
return (
<IAICollapse
- label="General"
+ label={t('parameters.general')}
activeLabel={iterationsAndSeedLabel}
defaultIsOpen={true}
>
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx
index 6837a2e853..e5c68ba6cf 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/ModelManager/subpanels/MergeModelsPanel.tsx
@@ -112,7 +112,7 @@ export default function MergeModelsPanel() {
}
});
- const mergeModelsInfo: MergeModelConfig = {
+ const mergeModelsInfo: MergeModelConfig['body'] = {
model_names: models_names,
merged_model_name:
mergedModelName !== '' ? mergedModelName : models_names.join('-'),
@@ -125,7 +125,7 @@ export default function MergeModelsPanel() {
mergeModels({
base_model: baseModel,
- body: mergeModelsInfo,
+ body: { body: mergeModelsInfo },
})
.unwrap()
.then((_) => {
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx
index ea6ef03e09..3f3cf2db05 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabCoreParameters.tsx
@@ -9,14 +9,16 @@ import ParamSteps from 'features/parameters/components/Parameters/Core/ParamStep
import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull';
import { useCoreParametersCollapseLabel } from 'features/parameters/util/useCoreParametersCollapseLabel';
import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
const TextToImageTabCoreParameters = () => {
+ const { t } = useTranslation();
const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders);
const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel();
return (
<IAICollapse
- label="General"
+ label={t('parameters.general')}
activeLabel={iterationsAndSeedLabel}
defaultIsOpen={true}
>
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabParameters.tsx
index 0c153fd7eb..8ec8c9caed 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImage/TextToImageTabParameters.tsx
@@ -3,6 +3,7 @@ import ParamLoraCollapse from 'features/lora/components/ParamLoraCollapse';
import ParamAdvancedCollapse from 'features/parameters/components/Parameters/Advanced/ParamAdvancedCollapse';
import ControlAdaptersCollapse from 'features/controlAdapters/components/ControlAdaptersCollapse';
import ParamSymmetryCollapse from 'features/parameters/components/Parameters/Symmetry/ParamSymmetryCollapse';
+import ParamHrfCollapse from 'features/parameters/components/Parameters/HighResFix/ParamHrfCollapse';
import { memo } from 'react';
import ParamPromptArea from '../../../../parameters/components/Parameters/Prompt/ParamPromptArea';
import TextToImageTabCoreParameters from './TextToImageTabCoreParameters';
@@ -16,6 +17,7 @@ const TextToImageTabParameters = () => {
<ParamLoraCollapse />
<ParamDynamicPromptsCollapse />
<ParamSymmetryCollapse />
+ <ParamHrfCollapse />
<ParamAdvancedCollapse />
</>
);
diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx
index c57a68ed62..40a5026d09 100644
--- a/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx
+++ b/invokeai/frontend/web/src/features/ui/components/tabs/UnifiedCanvas/UnifiedCanvasCoreParameters.tsx
@@ -10,14 +10,16 @@ import ImageToImageStrength from 'features/parameters/components/Parameters/Imag
import ParamSeedFull from 'features/parameters/components/Parameters/Seed/ParamSeedFull';
import { useCoreParametersCollapseLabel } from 'features/parameters/util/useCoreParametersCollapseLabel';
import { memo } from 'react';
+import { useTranslation } from 'react-i18next';
const UnifiedCanvasCoreParameters = () => {
+ const { t } = useTranslation();
const shouldUseSliders = useAppSelector((state) => state.ui.shouldUseSliders);
const { iterationsAndSeedLabel } = useCoreParametersCollapseLabel();
return (
<IAICollapse
- label="General"
+ label={t('parameters.general')}
activeLabel={iterationsAndSeedLabel}
defaultIsOpen={true}
>
diff --git a/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts b/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts
index 4b42a45e93..ef9db44a9d 100644
--- a/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts
+++ b/invokeai/frontend/web/src/features/ui/hooks/useCopyImageToClipboard.ts
@@ -1,11 +1,13 @@
import { useAppToaster } from 'app/components/Toaster';
+import { useImageUrlToBlob } from 'common/hooks/useImageUrlToBlob';
+import { copyBlobToClipboard } from 'features/system/util/copyBlobToClipboard';
import { useCallback, useMemo } from 'react';
import { useTranslation } from 'react-i18next';
-import { copyBlobToClipboard } from 'features/system/util/copyBlobToClipboard';
export const useCopyImageToClipboard = () => {
const toaster = useAppToaster();
const { t } = useTranslation();
+ const imageUrlToBlob = useImageUrlToBlob();
const isClipboardAPIAvailable = useMemo(() => {
return Boolean(navigator.clipboard) && Boolean(window.ClipboardItem);
@@ -23,15 +25,13 @@ export const useCopyImageToClipboard = () => {
});
}
try {
- const getImageBlob = async () => {
- const response = await fetch(image_url);
- if (!response.ok) {
- throw new Error(`Problem retrieving image data`);
- }
- return await response.blob();
- };
+ const blob = await imageUrlToBlob(image_url);
- copyBlobToClipboard(getImageBlob());
+ if (!blob) {
+ throw new Error('Unable to create Blob');
+ }
+
+ copyBlobToClipboard(blob);
toaster({
title: t('toast.imageCopied'),
@@ -49,7 +49,7 @@ export const useCopyImageToClipboard = () => {
});
}
},
- [isClipboardAPIAvailable, t, toaster]
+ [imageUrlToBlob, isClipboardAPIAvailable, t, toaster]
);
return { isClipboardAPIAvailable, copyImageToClipboard };
diff --git a/invokeai/frontend/web/src/services/api/endpoints/images.ts b/invokeai/frontend/web/src/services/api/endpoints/images.ts
index ce9207144d..99a5fc5f50 100644
--- a/invokeai/frontend/web/src/services/api/endpoints/images.ts
+++ b/invokeai/frontend/web/src/services/api/endpoints/images.ts
@@ -520,7 +520,7 @@ export const imagesApi = api.injectEndpoints({
// assume all images are on the same board/category
if (images[0]) {
const categories = getCategories(images[0]);
- const boardId = images[0].board_id;
+ const boardId = images[0].board_id ?? undefined;
return [
{
@@ -637,7 +637,7 @@ export const imagesApi = api.injectEndpoints({
// assume all images are on the same board/category
if (images[0]) {
const categories = getCategories(images[0]);
- const boardId = images[0].board_id;
+ const boardId = images[0].board_id ?? undefined;
return [
{
type: 'ImageList',
@@ -1599,6 +1599,19 @@ export const imagesApi = api.injectEndpoints({
}
},
}),
+ bulkDownloadImages: build.mutation<
+ components['schemas']['ImagesDownloaded'],
+ components['schemas']['Body_download_images_from_list']
+ >({
+ query: ({ image_names, board_id }) => ({
+ url: `images/download`,
+ method: 'POST',
+ body: {
+ image_names,
+ board_id,
+ },
+ }),
+ }),
}),
});
@@ -1623,4 +1636,5 @@ export const {
useStarImagesMutation,
useUnstarImagesMutation,
useGetImageMetadataFromFileQuery,
+ useBulkDownloadImagesMutation,
} = imagesApi;
diff --git a/invokeai/frontend/web/src/services/api/hooks/useBoardName.ts b/invokeai/frontend/web/src/services/api/hooks/useBoardName.ts
index ce0cff7b8a..54e3745c27 100644
--- a/invokeai/frontend/web/src/services/api/hooks/useBoardName.ts
+++ b/invokeai/frontend/web/src/services/api/hooks/useBoardName.ts
@@ -1,11 +1,12 @@
import { BoardId } from 'features/gallery/store/types';
import { useListAllBoardsQuery } from '../endpoints/boards';
+import { t } from 'i18next';
export const useBoardName = (board_id: BoardId) => {
const { boardName } = useListAllBoardsQuery(undefined, {
selectFromResult: ({ data }) => {
const selectedBoard = data?.find((b) => b.board_id === board_id);
- const boardName = selectedBoard?.board_name || 'Uncategorized';
+ const boardName = selectedBoard?.board_name || t('boards.uncategorized');
return { boardName };
},
diff --git a/invokeai/frontend/web/src/services/api/schema.d.ts b/invokeai/frontend/web/src/services/api/schema.d.ts
index 5bc2228eba..d4678dc03b 100644
--- a/invokeai/frontend/web/src/services/api/schema.d.ts
+++ b/invokeai/frontend/web/src/services/api/schema.d.ts
@@ -5,80 +5,6 @@
export type paths = {
- "/api/v1/sessions/": {
- /**
- * List Sessions
- * @deprecated
- * @description Gets a list of sessions, optionally searching
- */
- get: operations["list_sessions"];
- /**
- * Create Session
- * @deprecated
- * @description Creates a new session, optionally initializing it with an invocation graph
- */
- post: operations["create_session"];
- };
- "/api/v1/sessions/{session_id}": {
- /**
- * Get Session
- * @deprecated
- * @description Gets a session
- */
- get: operations["get_session"];
- };
- "/api/v1/sessions/{session_id}/nodes": {
- /**
- * Add Node
- * @deprecated
- * @description Adds a node to the graph
- */
- post: operations["add_node"];
- };
- "/api/v1/sessions/{session_id}/nodes/{node_path}": {
- /**
- * Update Node
- * @deprecated
- * @description Updates a node in the graph and removes all linked edges
- */
- put: operations["update_node"];
- /**
- * Delete Node
- * @deprecated
- * @description Deletes a node in the graph and removes all linked edges
- */
- delete: operations["delete_node"];
- };
- "/api/v1/sessions/{session_id}/edges": {
- /**
- * Add Edge
- * @deprecated
- * @description Adds an edge to the graph
- */
- post: operations["add_edge"];
- };
- "/api/v1/sessions/{session_id}/edges/{from_node_id}/{from_field}/{to_node_id}/{to_field}": {
- /**
- * Delete Edge
- * @deprecated
- * @description Deletes an edge from the graph
- */
- delete: operations["delete_edge"];
- };
- "/api/v1/sessions/{session_id}/invoke": {
- /**
- * Invoke Session
- * @deprecated
- * @description Invokes a session
- */
- put: operations["invoke_session"];
- /**
- * Cancel Session Invoke
- * @deprecated
- * @description Invokes a session
- */
- delete: operations["cancel_session_invoke"];
- };
"/api/v1/utilities/dynamicprompts": {
/**
* Parse Dynamicprompts
@@ -235,6 +161,10 @@ export type paths = {
/** Unstar Images In List */
post: operations["unstar_images_in_list"];
};
+ "/api/v1/images/download": {
+ /** Download Images From List */
+ post: operations["download_images_from_list"];
+ };
"/api/v1/boards/": {
/**
* List Boards
@@ -477,18 +407,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* A
* @description The first number
@@ -502,9 +432,9 @@ export type components = {
*/
b?: number;
/**
- * Type
+ * type
* @default add
- * @enum {string}
+ * @constant
*/
type: "add";
};
@@ -547,7 +477,6 @@ export type components = {
};
/**
* BaseModelType
- * @description An enumeration.
* @enum {string}
*/
BaseModelType: "any" | "sd-1" | "sd-2" | "sdxl" | "sdxl-refiner";
@@ -562,11 +491,8 @@ export type components = {
* Data
* @description The batch data collection.
*/
- data?: components["schemas"]["BatchDatum"][][];
- /**
- * Graph
- * @description The graph to initialize the session with
- */
+ data?: components["schemas"]["BatchDatum"][][] | null;
+ /** @description The graph to initialize the session with */
graph: components["schemas"]["Graph"];
/**
* Runs
@@ -651,18 +577,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Width
* @description The width of the image
@@ -683,20 +609,19 @@ export type components = {
*/
mode?: "RGB" | "RGBA";
/**
- * Color
* @description The color of the image
* @default {
- * "r": 0,
- * "g": 0,
+ * "a": 255,
* "b": 0,
- * "a": 255
+ * "g": 0,
+ * "r": 0
* }
*/
color?: components["schemas"]["ColorField"];
/**
- * Type
+ * type
* @default blank_image
- * @enum {string}
+ * @constant
*/
type: "blank_image";
};
@@ -715,27 +640,21 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Latents A
- * @description Latents tensor
- */
+ use_cache?: boolean | null;
+ /** @description Latents tensor */
latents_a?: components["schemas"]["LatentsField"];
- /**
- * Latents B
- * @description Latents tensor
- */
+ /** @description Latents tensor */
latents_b?: components["schemas"]["LatentsField"];
/**
* Alpha
@@ -744,9 +663,9 @@ export type components = {
*/
alpha?: number;
/**
- * Type
+ * type
* @default lblend
- * @enum {string}
+ * @constant
*/
type: "lblend";
};
@@ -756,12 +675,12 @@ export type components = {
* Board Name
* @description The board's new name.
*/
- board_name?: string;
+ board_name?: string | null;
/**
* Cover Image Name
* @description The name of the board's new cover image.
*/
- cover_image_name?: string;
+ cover_image_name?: string | null;
};
/**
* BoardDTO
@@ -792,12 +711,12 @@ export type components = {
* Deleted At
* @description The deleted timestamp of the board.
*/
- deleted_at?: string;
+ deleted_at?: string | null;
/**
* Cover Image Name
* @description The name of the board's cover image.
*/
- cover_image_name?: string;
+ cover_image_name: string | null;
/**
* Image Count
* @description The number of images in the board.
@@ -857,12 +776,22 @@ export type components = {
*/
image_names: string[];
};
+ /** Body_download_images_from_list */
+ Body_download_images_from_list: {
+ /**
+ * Image Names
+ * @description The list of names of images to download
+ */
+ image_names: string[];
+ /**
+ * Board Id
+ * @description The board from which image should be downloaded from
+ */
+ board_id?: string | null;
+ };
/** Body_enqueue_batch */
Body_enqueue_batch: {
- /**
- * Batch
- * @description Batch to process
- */
+ /** @description Batch to process */
batch: components["schemas"]["Batch"];
/**
* Prepend
@@ -873,10 +802,7 @@ export type components = {
};
/** Body_enqueue_graph */
Body_enqueue_graph: {
- /**
- * Graph
- * @description The graph to enqueue
- */
+ /** @description The graph to enqueue */
graph: components["schemas"]["Graph"];
/**
* Prepend
@@ -895,41 +821,13 @@ export type components = {
/**
* Prediction Type
* @description Prediction type for SDv2 checkpoints and rare SDv1 checkpoints
- * @enum {string}
*/
- prediction_type?: "v_prediction" | "epsilon" | "sample";
+ prediction_type?: ("v_prediction" | "epsilon" | "sample") | null;
};
/** Body_merge_models */
Body_merge_models: {
- /**
- * Model Names
- * @description model name
- */
- model_names: string[];
- /**
- * Merged Model Name
- * @description Name of destination model
- */
- merged_model_name: string;
- /**
- * Alpha
- * @description Alpha weighting strength to apply to 2d and 3d models
- * @default 0.5
- */
- alpha?: number;
- /** @description Interpolation method */
- interp: components["schemas"]["MergeInterpolationMethod"];
- /**
- * Force
- * @description Force merging of models created with different versions of diffusers
- * @default false
- */
- force?: boolean;
- /**
- * Merge Dest Directory
- * @description Save the merged model to the designated directory (with 'merged_model_name' appended)
- */
- merge_dest_directory?: string;
+ /** @description Model configuration */
+ body: components["schemas"]["MergeModelsBody"];
};
/** Body_parse_dynamicprompts */
Body_parse_dynamicprompts: {
@@ -1006,27 +904,27 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Collection
* @description The collection of boolean values
*/
collection?: boolean[];
/**
- * Type
+ * type
* @default boolean_collection
- * @enum {string}
+ * @constant
*/
type: "boolean_collection";
};
@@ -1041,9 +939,9 @@ export type components = {
*/
collection: boolean[];
/**
- * Type
+ * type
* @default boolean_collection_output
- * @enum {string}
+ * @constant
*/
type: "boolean_collection_output";
};
@@ -1062,18 +960,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Value
* @description The boolean value
@@ -1081,9 +979,9 @@ export type components = {
*/
value?: boolean;
/**
- * Type
+ * type
* @default boolean
- * @enum {string}
+ * @constant
*/
type: "boolean";
};
@@ -1098,9 +996,9 @@ export type components = {
*/
value: boolean;
/**
- * Type
+ * type
* @default boolean_output
- * @enum {string}
+ * @constant
*/
type: "boolean_output";
};
@@ -1111,19 +1009,20 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default clip_vision
+ * @constant
*/
model_type: "clip_vision";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "diffusers";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
};
/** CLIPVisionModelField */
CLIPVisionModelField: {
@@ -1150,27 +1049,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to infill
- */
+ use_cache?: boolean | null;
+ /** @description The image to infill */
image?: components["schemas"]["ImageField"];
/**
- * Type
+ * type
* @default infill_cv2
- * @enum {string}
+ * @constant
*/
type: "infill_cv2";
};
@@ -1200,29 +1096,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default canny_image_processor
- * @enum {string}
- */
- type: "canny_image_processor";
/**
* Low Threshold
* @description The low threshold of the Canny pixel gradient (0-255)
@@ -1235,6 +1122,12 @@ export type components = {
* @default 200
*/
high_threshold?: number;
+ /**
+ * type
+ * @default canny_image_processor
+ * @constant
+ */
+ type: "canny_image_processor";
};
/**
* ClearResult
@@ -1249,15 +1142,9 @@ export type components = {
};
/** ClipField */
ClipField: {
- /**
- * Tokenizer
- * @description Info to load tokenizer submodel
- */
+ /** @description Info to load tokenizer submodel */
tokenizer: components["schemas"]["ModelInfo"];
- /**
- * Text Encoder
- * @description Info to load text_encoder submodel
- */
+ /** @description Info to load text_encoder submodel */
text_encoder: components["schemas"]["ModelInfo"];
/**
* Skipped Layers
@@ -1285,18 +1172,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* CLIP
* @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
@@ -1309,9 +1196,9 @@ export type components = {
*/
skipped_layers?: number;
/**
- * Type
+ * type
* @default clip_skip
- * @enum {string}
+ * @constant
*/
type: "clip_skip";
};
@@ -1324,11 +1211,11 @@ export type components = {
* CLIP
* @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
*/
- clip?: components["schemas"]["ClipField"];
+ clip?: components["schemas"]["ClipField"] | null;
/**
- * Type
+ * type
* @default clip_skip_output
- * @enum {string}
+ * @constant
*/
type: "clip_skip_output";
};
@@ -1347,18 +1234,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Collection Item
* @description The item to collect (all inputs must be of the same type)
@@ -1370,18 +1257,13 @@ export type components = {
*/
collection?: unknown[];
/**
- * Type
+ * type
* @default collect
- * @enum {string}
+ * @constant
*/
type: "collect";
};
- /**
- * CollectInvocationOutput
- * @description Base class for all invocation outputs.
- *
- * All invocation outputs must use the `@invocation_output` decorator to provide their unique type.
- */
+ /** CollectInvocationOutput */
CollectInvocationOutput: {
/**
* Collection
@@ -1389,9 +1271,9 @@ export type components = {
*/
collection: unknown[];
/**
- * Type
+ * type
* @default collect_output
- * @enum {string}
+ * @constant
*/
type: "collect_output";
};
@@ -1406,9 +1288,9 @@ export type components = {
*/
collection: components["schemas"]["ColorField"][];
/**
- * Type
+ * type
* @default color_collection_output
- * @enum {string}
+ * @constant
*/
type: "color_collection_output";
};
@@ -1428,33 +1310,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to color-correct
- */
+ use_cache?: boolean | null;
+ /** @description The image to color-correct */
image?: components["schemas"]["ImageField"];
- /**
- * Reference
- * @description Reference image for color-correction
- */
+ /** @description Reference image for color-correction */
reference?: components["schemas"]["ImageField"];
- /**
- * Mask
- * @description Mask to use when applying color-correction
- */
- mask?: components["schemas"]["ImageField"];
+ /** @description Mask to use when applying color-correction */
+ mask?: components["schemas"]["ImageField"] | null;
/**
* Mask Blur Radius
* @description Mask blur radius
@@ -1462,9 +1335,9 @@ export type components = {
*/
mask_blur_radius?: number;
/**
- * Type
+ * type
* @default color_correct
- * @enum {string}
+ * @constant
*/
type: "color_correct";
};
@@ -1509,33 +1382,32 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
- * Color
* @description The color value
* @default {
- * "r": 0,
- * "g": 0,
+ * "a": 255,
* "b": 0,
- * "a": 255
+ * "g": 0,
+ * "r": 0
* }
*/
color?: components["schemas"]["ColorField"];
/**
- * Type
+ * type
* @default color
- * @enum {string}
+ * @constant
*/
type: "color";
};
@@ -1554,50 +1426,44 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default color_map_image_processor
- * @enum {string}
- */
- type: "color_map_image_processor";
/**
* Color Map Tile Size
* @description Tile size
* @default 64
*/
color_map_tile_size?: number;
+ /**
+ * type
+ * @default color_map_image_processor
+ * @constant
+ */
+ type: "color_map_image_processor";
};
/**
* ColorOutput
* @description Base class for nodes that output a single color
*/
ColorOutput: {
- /**
- * Color
- * @description The output color
- */
+ /** @description The output color */
color: components["schemas"]["ColorField"];
/**
- * Type
+ * type
* @default color_output
- * @enum {string}
+ * @constant
*/
type: "color_output";
};
@@ -1616,35 +1482,35 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Prompt
* @description Prompt to be parsed by Compel to create a conditioning tensor
* @default
*/
prompt?: string;
- /**
- * Type
- * @default compel
- * @enum {string}
- */
- type: "compel";
/**
* CLIP
* @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
*/
clip?: components["schemas"]["ClipField"];
+ /**
+ * type
+ * @default compel
+ * @constant
+ */
+ type: "compel";
};
/**
* Conditioning Collection Primitive
@@ -1661,27 +1527,27 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Collection
* @description The collection of conditioning tensors
*/
collection?: components["schemas"]["ConditioningField"][];
/**
- * Type
+ * type
* @default conditioning_collection
- * @enum {string}
+ * @constant
*/
type: "conditioning_collection";
};
@@ -1696,9 +1562,9 @@ export type components = {
*/
collection: components["schemas"]["ConditioningField"][];
/**
- * Type
+ * type
* @default conditioning_collection_output
- * @enum {string}
+ * @constant
*/
type: "conditioning_collection_output";
};
@@ -1728,27 +1594,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Conditioning
- * @description Conditioning tensor
- */
+ use_cache?: boolean | null;
+ /** @description Conditioning tensor */
conditioning?: components["schemas"]["ConditioningField"];
/**
- * Type
+ * type
* @default conditioning
- * @enum {string}
+ * @constant
*/
type: "conditioning";
};
@@ -1757,15 +1620,12 @@ export type components = {
* @description Base class for nodes that output a single conditioning tensor
*/
ConditioningOutput: {
- /**
- * Conditioning
- * @description Conditioning tensor
- */
+ /** @description Conditioning tensor */
conditioning: components["schemas"]["ConditioningField"];
/**
- * Type
+ * type
* @default conditioning_output
- * @enum {string}
+ * @constant
*/
type: "conditioning_output";
};
@@ -1784,29 +1644,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default content_shuffle_image_processor
- * @enum {string}
- */
- type: "content_shuffle_image_processor";
/**
* Detect Resolution
* @description Pixel resolution for detection
@@ -1837,18 +1688,18 @@ export type components = {
* @default 256
*/
f?: number;
+ /**
+ * type
+ * @default content_shuffle_image_processor
+ * @constant
+ */
+ type: "content_shuffle_image_processor";
};
/** ControlField */
ControlField: {
- /**
- * Image
- * @description The control image
- */
+ /** @description The control image */
image: components["schemas"]["ImageField"];
- /**
- * Control Model
- * @description The ControlNet model to use
- */
+ /** @description The ControlNet model to use */
control_model: components["schemas"]["ControlNetModelField"];
/**
* Control Weight
@@ -1898,27 +1749,21 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The control image
- */
+ use_cache?: boolean | null;
+ /** @description The control image */
image?: components["schemas"]["ImageField"];
- /**
- * Control Model
- * @description ControlNet model to load
- */
+ /** @description ControlNet model to load */
control_model: components["schemas"]["ControlNetModelField"];
/**
* Control Weight
@@ -1953,9 +1798,9 @@ export type components = {
*/
resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
/**
- * Type
+ * type
* @default controlnet
- * @enum {string}
+ * @constant
*/
type: "controlnet";
};
@@ -1966,19 +1811,20 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default controlnet
+ * @constant
*/
model_type: "controlnet";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "checkpoint";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
/** Config */
config: string;
};
@@ -1989,19 +1835,20 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default controlnet
+ * @constant
*/
model_type: "controlnet";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "diffusers";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
};
/**
* ControlNetModelField
@@ -2021,15 +1868,12 @@ export type components = {
* @description node output for ControlNet info
*/
ControlOutput: {
- /**
- * Control
- * @description ControlNet(s) to apply
- */
+ /** @description ControlNet(s) to apply */
control: components["schemas"]["ControlField"];
/**
- * Type
+ * type
* @default control_output
- * @enum {string}
+ * @constant
*/
type: "control_output";
};
@@ -2041,154 +1885,145 @@ export type components = {
/**
* App Version
* @description The version of InvokeAI used to generate this image
- * @default 3.2.0
+ * @default 3.3.0
*/
app_version?: string;
/**
* Generation Mode
* @description The generation mode that output this image
*/
- generation_mode: string;
+ generation_mode?: string | null;
/**
* Created By
* @description The name of the creator of the image
*/
- created_by?: string;
+ created_by: string | null;
/**
* Positive Prompt
* @description The positive prompt parameter
*/
- positive_prompt: string;
+ positive_prompt?: string | null;
/**
* Negative Prompt
* @description The negative prompt parameter
*/
- negative_prompt: string;
+ negative_prompt?: string | null;
/**
* Width
* @description The width parameter
*/
- width: number;
+ width?: number | null;
/**
* Height
* @description The height parameter
*/
- height: number;
+ height?: number | null;
/**
* Seed
* @description The seed used for noise generation
*/
- seed: number;
+ seed?: number | null;
/**
* Rand Device
* @description The device used for random number generation
*/
- rand_device: string;
+ rand_device?: string | null;
/**
* Cfg Scale
* @description The classifier-free guidance scale parameter
*/
- cfg_scale: number;
+ cfg_scale?: number | null;
/**
* Steps
* @description The number of steps used for inference
*/
- steps: number;
+ steps?: number | null;
/**
* Scheduler
* @description The scheduler used for inference
*/
- scheduler: string;
+ scheduler?: string | null;
/**
* Clip Skip
* @description The number of skipped CLIP layers
*/
- clip_skip?: number;
- /**
- * Model
- * @description The main model used for inference
- */
- model: components["schemas"]["MainModelField"];
+ clip_skip?: number | null;
+ /** @description The main model used for inference */
+ model?: components["schemas"]["MainModelField"] | null;
/**
* Controlnets
* @description The ControlNets used for inference
*/
- controlnets: components["schemas"]["ControlField"][];
+ controlnets?: components["schemas"]["ControlField"][] | null;
/**
* Ipadapters
* @description The IP Adapters used for inference
*/
- ipAdapters: components["schemas"]["IPAdapterMetadataField"][];
+ ipAdapters?: components["schemas"]["IPAdapterMetadataField"][] | null;
/**
* T2Iadapters
* @description The IP Adapters used for inference
*/
- t2iAdapters: components["schemas"]["T2IAdapterField"][];
+ t2iAdapters?: components["schemas"]["T2IAdapterField"][] | null;
/**
* Loras
* @description The LoRAs used for inference
*/
- loras: components["schemas"]["LoRAMetadataField"][];
- /**
- * Vae
- * @description The VAE used for decoding, if the main model's default was not used
- */
- vae?: components["schemas"]["VAEModelField"];
+ loras?: components["schemas"]["LoRAMetadataField"][] | null;
+ /** @description The VAE used for decoding, if the main model's default was not used */
+ vae?: components["schemas"]["VAEModelField"] | null;
/**
* Strength
* @description The strength used for latents-to-latents
*/
- strength?: number;
+ strength?: number | null;
/**
* Init Image
* @description The name of the initial image
*/
- init_image?: string;
+ init_image?: string | null;
/**
* Positive Style Prompt
* @description The positive style prompt parameter
*/
- positive_style_prompt?: string;
+ positive_style_prompt?: string | null;
/**
* Negative Style Prompt
* @description The negative style prompt parameter
*/
- negative_style_prompt?: string;
- /**
- * Refiner Model
- * @description The SDXL Refiner model used
- */
- refiner_model?: components["schemas"]["MainModelField"];
+ negative_style_prompt?: string | null;
+ /** @description The SDXL Refiner model used */
+ refiner_model?: components["schemas"]["MainModelField"] | null;
/**
* Refiner Cfg Scale
* @description The classifier-free guidance scale parameter used for the refiner
*/
- refiner_cfg_scale?: number;
+ refiner_cfg_scale?: number | null;
/**
* Refiner Steps
* @description The number of steps used for the refiner
*/
- refiner_steps?: number;
+ refiner_steps?: number | null;
/**
* Refiner Scheduler
* @description The scheduler used for the refiner
*/
- refiner_scheduler?: string;
+ refiner_scheduler?: string | null;
/**
* Refiner Positive Aesthetic Score
* @description The aesthetic score used for the refiner
*/
- refiner_positive_aesthetic_score?: number;
+ refiner_positive_aesthetic_score?: number | null;
/**
* Refiner Negative Aesthetic Score
* @description The aesthetic score used for the refiner
*/
- refiner_negative_aesthetic_score?: number;
+ refiner_negative_aesthetic_score?: number | null;
/**
* Refiner Start
* @description The start value used for refiner denoising
*/
- refiner_start?: number;
+ refiner_start?: number | null;
};
/**
* Create Denoise Mask
@@ -2205,32 +2040,23 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Vae
- * @description VAE
- */
+ use_cache?: boolean | null;
+ /** @description VAE */
vae?: components["schemas"]["VaeField"];
- /**
- * Image
- * @description Image which will be masked
- */
- image?: components["schemas"]["ImageField"];
- /**
- * Mask
- * @description The mask to use when pasting
- */
+ /** @description Image which will be masked */
+ image?: components["schemas"]["ImageField"] | null;
+ /** @description The mask to use when pasting */
mask?: components["schemas"]["ImageField"];
/**
* Tiled
@@ -2245,16 +2071,13 @@ export type components = {
*/
fp32?: boolean;
/**
- * Type
+ * type
* @default create_denoise_mask
- * @enum {string}
+ * @constant
*/
type: "create_denoise_mask";
};
- /**
- * CursorPaginatedResults[SessionQueueItemDTO]
- * @description Cursor-paginated results
- */
+ /** CursorPaginatedResults[SessionQueueItemDTO] */
CursorPaginatedResults_SessionQueueItemDTO_: {
/**
* Limit
@@ -2287,32 +2110,26 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to inpaint
- */
+ use_cache?: boolean | null;
+ /** @description The image to inpaint */
image?: components["schemas"]["ImageField"];
- /**
- * Mask
- * @description The mask to use when inpainting
- */
+ /** @description The mask to use when inpainting */
mask?: components["schemas"]["ImageField"];
/**
- * Type
+ * type
* @default cv_inpaint
- * @enum {string}
+ * @constant
*/
type: "cv_inpaint";
};
@@ -2354,23 +2171,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Noise
- * @description Noise tensor
- */
- noise?: components["schemas"]["LatentsField"];
+ use_cache?: boolean | null;
+ /** @description Positive conditioning tensor */
+ positive_conditioning?: components["schemas"]["ConditioningField"];
+ /** @description Negative conditioning tensor */
+ negative_conditioning?: components["schemas"]["ConditioningField"];
+ /** @description Noise tensor */
+ noise?: components["schemas"]["LatentsField"] | null;
/**
* Steps
* @description Number of steps to run
@@ -2402,49 +2220,33 @@ export type components = {
* @enum {string}
*/
scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
- /** Control */
- control?: components["schemas"]["ControlField"] | components["schemas"]["ControlField"][];
- /**
- * IP-Adapter
- * @description IP-Adapter to apply
- */
- ip_adapter?: components["schemas"]["IPAdapterField"] | components["schemas"]["IPAdapterField"][];
- /**
- * T2I-Adapter
- * @description T2I-Adapter(s) to apply
- */
- t2i_adapter?: components["schemas"]["T2IAdapterField"] | components["schemas"]["T2IAdapterField"][];
- /**
- * Latents
- * @description Latents tensor
- */
- latents?: components["schemas"]["LatentsField"];
- /**
- * Denoise Mask
- * @description The mask to use for the operation
- */
- denoise_mask?: components["schemas"]["DenoiseMaskField"];
- /**
- * Type
- * @default denoise_latents
- * @enum {string}
- */
- type: "denoise_latents";
- /**
- * Positive Conditioning
- * @description Positive conditioning tensor
- */
- positive_conditioning?: components["schemas"]["ConditioningField"];
- /**
- * Negative Conditioning
- * @description Negative conditioning tensor
- */
- negative_conditioning?: components["schemas"]["ConditioningField"];
/**
* UNet
* @description UNet (scheduler, LoRAs)
*/
unet?: components["schemas"]["UNetField"];
+ /** Control */
+ control?: components["schemas"]["ControlField"] | components["schemas"]["ControlField"][] | null;
+ /**
+ * IP-Adapter
+ * @description IP-Adapter to apply
+ */
+ ip_adapter?: components["schemas"]["IPAdapterField"] | components["schemas"]["IPAdapterField"][] | null;
+ /**
+ * T2I-Adapter
+ * @description T2I-Adapter(s) to apply
+ */
+ t2i_adapter?: components["schemas"]["T2IAdapterField"] | components["schemas"]["T2IAdapterField"][] | null;
+ /** @description Latents tensor */
+ latents?: components["schemas"]["LatentsField"] | null;
+ /** @description The mask to use for the operation */
+ denoise_mask?: components["schemas"]["DenoiseMaskField"] | null;
+ /**
+ * type
+ * @default denoise_latents
+ * @constant
+ */
+ type: "denoise_latents";
};
/**
* DenoiseMaskField
@@ -2460,22 +2262,19 @@ export type components = {
* Masked Latents Name
* @description The name of the masked image latents
*/
- masked_latents_name?: string;
+ masked_latents_name: string | null;
};
/**
* DenoiseMaskOutput
* @description Base class for nodes that output a single image
*/
DenoiseMaskOutput: {
- /**
- * Denoise Mask
- * @description Mask for denoise model run
- */
+ /** @description Mask for denoise model run */
denoise_mask: components["schemas"]["DenoiseMaskField"];
/**
- * Type
+ * type
* @default denoise_mask_output
- * @enum {string}
+ * @constant
*/
type: "denoise_mask_output";
};
@@ -2494,18 +2293,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* A
* @description The first number
@@ -2519,9 +2318,9 @@ export type components = {
*/
b?: number;
/**
- * Type
+ * type
* @default div
- * @enum {string}
+ * @constant
*/
type: "div";
};
@@ -2540,18 +2339,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default false
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Prompt
* @description The prompt to parse with dynamicprompts
@@ -2570,9 +2369,9 @@ export type components = {
*/
combinatorial?: boolean;
/**
- * Type
+ * type
* @default dynamic_prompt
- * @enum {string}
+ * @constant
*/
type: "dynamic_prompt";
};
@@ -2581,7 +2380,7 @@ export type components = {
/** Prompts */
prompts: string[];
/** Error */
- error?: string;
+ error?: string | null;
};
/**
* Upscale (RealESRGAN)
@@ -2598,22 +2397,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The input image
- */
+ use_cache?: boolean | null;
+ /** @description The input image */
image?: components["schemas"]["ImageField"];
/**
* Model Name
@@ -2629,23 +2425,17 @@ export type components = {
*/
tile_size?: number;
/**
- * Type
+ * type
* @default esrgan
- * @enum {string}
+ * @constant
*/
type: "esrgan";
};
/** Edge */
Edge: {
- /**
- * Source
- * @description The connection for the edge's from node and field
- */
+ /** @description The connection for the edge's from node and field */
source: components["schemas"]["EdgeConnection"];
- /**
- * Destination
- * @description The connection for the edge's to node and field
- */
+ /** @description The connection for the edge's to node and field */
destination: components["schemas"]["EdgeConnection"];
};
/** EdgeConnection */
@@ -2678,10 +2468,7 @@ export type components = {
* @description The total number of queue items requested to be enqueued
*/
requested: number;
- /**
- * Batch
- * @description The batch that was enqueued
- */
+ /** @description The batch that was enqueued */
batch: components["schemas"]["Batch"];
/**
* Priority
@@ -2701,20 +2488,14 @@ export type components = {
* @description The total number of queue items requested to be enqueued
*/
requested: number;
- /**
- * Batch
- * @description The batch that was enqueued
- */
+ /** @description The batch that was enqueued */
batch: components["schemas"]["Batch"];
/**
* Priority
* @description The priority of the enqueued batch
*/
priority: number;
- /**
- * Queue Item
- * @description The queue item that was enqueued
- */
+ /** @description The queue item that was enqueued */
queue_item: components["schemas"]["SessionQueueItemDTO"];
};
/**
@@ -2732,22 +2513,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description Image to face detect
- */
+ use_cache?: boolean | null;
+ /** @description Image to face detect */
image?: components["schemas"]["ImageField"];
/**
* Minimum Confidence
@@ -2762,9 +2540,9 @@ export type components = {
*/
chunk?: boolean;
/**
- * Type
+ * type
* @default face_identifier
- * @enum {string}
+ * @constant
*/
type: "face_identifier";
};
@@ -2783,22 +2561,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description Image to face detect
- */
+ use_cache?: boolean | null;
+ /** @description Image to face detect */
image?: components["schemas"]["ImageField"];
/**
* Face Ids
@@ -2837,9 +2612,9 @@ export type components = {
*/
invert_mask?: boolean;
/**
- * Type
+ * type
* @default face_mask_detection
- * @enum {string}
+ * @constant
*/
type: "face_mask_detection";
};
@@ -2848,10 +2623,7 @@ export type components = {
* @description Base class for FaceMask output
*/
FaceMaskOutput: {
- /**
- * Image
- * @description The output image
- */
+ /** @description The output image */
image: components["schemas"]["ImageField"];
/**
* Width
@@ -2864,15 +2636,12 @@ export type components = {
*/
height: number;
/**
- * Type
+ * type
* @default face_mask_output
- * @enum {string}
+ * @constant
*/
type: "face_mask_output";
- /**
- * Mask
- * @description The output mask
- */
+ /** @description The output mask */
mask: components["schemas"]["ImageField"];
};
/**
@@ -2890,22 +2659,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description Image for face detection
- */
+ use_cache?: boolean | null;
+ /** @description Image for face detection */
image?: components["schemas"]["ImageField"];
/**
* Face Id
@@ -2944,9 +2710,9 @@ export type components = {
*/
chunk?: boolean;
/**
- * Type
+ * type
* @default face_off
- * @enum {string}
+ * @constant
*/
type: "face_off";
};
@@ -2955,10 +2721,7 @@ export type components = {
* @description Base class for FaceOff Output
*/
FaceOffOutput: {
- /**
- * Image
- * @description The output image
- */
+ /** @description The output image */
image: components["schemas"]["ImageField"];
/**
* Width
@@ -2971,15 +2734,12 @@ export type components = {
*/
height: number;
/**
- * Type
+ * type
* @default face_off_output
- * @enum {string}
+ * @constant
*/
type: "face_off_output";
- /**
- * Mask
- * @description The output mask
- */
+ /** @description The output mask */
mask: components["schemas"]["ImageField"];
/**
* X
@@ -3007,27 +2767,27 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Collection
* @description The collection of float values
*/
collection?: number[];
/**
- * Type
+ * type
* @default float_collection
- * @enum {string}
+ * @constant
*/
type: "float_collection";
};
@@ -3042,9 +2802,9 @@ export type components = {
*/
collection: number[];
/**
- * Type
+ * type
* @default float_collection_output
- * @enum {string}
+ * @constant
*/
type: "float_collection_output";
};
@@ -3063,18 +2823,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Value
* @description The float value
@@ -3082,9 +2842,9 @@ export type components = {
*/
value?: number;
/**
- * Type
+ * type
* @default float
- * @enum {string}
+ * @constant
*/
type: "float";
};
@@ -3103,18 +2863,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Start
* @description The first value of the range
@@ -3134,9 +2894,9 @@ export type components = {
*/
steps?: number;
/**
- * Type
+ * type
* @default float_range
- * @enum {string}
+ * @constant
*/
type: "float_range";
};
@@ -3155,18 +2915,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Operation
* @description The operation to perform
@@ -3187,9 +2947,9 @@ export type components = {
*/
b?: number;
/**
- * Type
+ * type
* @default float_math
- * @enum {string}
+ * @constant
*/
type: "float_math";
};
@@ -3204,9 +2964,9 @@ export type components = {
*/
value: number;
/**
- * Type
+ * type
* @default float_output
- * @enum {string}
+ * @constant
*/
type: "float_output";
};
@@ -3225,18 +2985,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Value
* @description The value to round
@@ -3257,9 +3017,9 @@ export type components = {
*/
method?: "Nearest" | "Floor" | "Ceiling" | "Truncate";
/**
- * Type
+ * type
* @default float_to_int
- * @enum {string}
+ * @constant
*/
type: "float_to_int";
};
@@ -3275,7 +3035,7 @@ export type components = {
* @description The nodes in this graph
*/
nodes?: {
- [key: string]: components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"];
+ [key: string]: components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["BooleanInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["MainModelLoaderInvocation"];
};
/**
* Edges
@@ -3293,15 +3053,9 @@ export type components = {
* @description The id of the execution state
*/
id: string;
- /**
- * Graph
- * @description The graph being executed
- */
+ /** @description The graph being executed */
graph: components["schemas"]["Graph"];
- /**
- * Execution Graph
- * @description The expanded graph of activated and executed nodes
- */
+ /** @description The expanded graph of activated and executed nodes */
execution_graph: components["schemas"]["Graph"];
/**
* Executed
@@ -3318,7 +3072,7 @@ export type components = {
* @description The results of node executions
*/
results: {
- [key: string]: components["schemas"]["BooleanOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["SchedulerOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["String2Output"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["FaceOffOutput"];
+ [key: string]: components["schemas"]["SDXLLoraLoaderOutput"] | components["schemas"]["FloatOutput"] | components["schemas"]["ControlOutput"] | components["schemas"]["ColorOutput"] | components["schemas"]["FaceMaskOutput"] | components["schemas"]["String2Output"] | components["schemas"]["IPAdapterOutput"] | components["schemas"]["DenoiseMaskOutput"] | components["schemas"]["IntegerCollectionOutput"] | components["schemas"]["ImageCollectionOutput"] | components["schemas"]["BooleanCollectionOutput"] | components["schemas"]["ModelLoaderOutput"] | components["schemas"]["MetadataAccumulatorOutput"] | components["schemas"]["ImageOutput"] | components["schemas"]["StringCollectionOutput"] | components["schemas"]["LatentsCollectionOutput"] | components["schemas"]["BooleanOutput"] | components["schemas"]["LoraLoaderOutput"] | components["schemas"]["FloatCollectionOutput"] | components["schemas"]["FaceOffOutput"] | components["schemas"]["GraphInvocationOutput"] | components["schemas"]["IterateInvocationOutput"] | components["schemas"]["LatentsOutput"] | components["schemas"]["StringPosNegOutput"] | components["schemas"]["SeamlessModeOutput"] | components["schemas"]["ClipSkipInvocationOutput"] | components["schemas"]["IntegerOutput"] | components["schemas"]["CollectInvocationOutput"] | components["schemas"]["StringOutput"] | components["schemas"]["ConditioningCollectionOutput"] | components["schemas"]["ONNXModelLoaderOutput"] | components["schemas"]["ConditioningOutput"] | components["schemas"]["NoiseOutput"] | components["schemas"]["ColorCollectionOutput"] | components["schemas"]["T2IAdapterOutput"] | components["schemas"]["SDXLRefinerModelLoaderOutput"] | components["schemas"]["VaeLoaderOutput"] | components["schemas"]["SDXLModelLoaderOutput"] | components["schemas"]["SchedulerOutput"];
};
/**
* Errors
@@ -3357,41 +3111,33 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Graph
- * @description The graph to run
- */
+ use_cache?: boolean | null;
+ /** @description The graph to run */
graph?: components["schemas"]["Graph"];
/**
- * Type
+ * type
* @default graph
- * @enum {string}
+ * @constant
*/
type: "graph";
};
- /**
- * GraphInvocationOutput
- * @description Base class for all invocation outputs.
- *
- * All invocation outputs must use the `@invocation_output` decorator to provide their unique type.
- */
+ /** GraphInvocationOutput */
GraphInvocationOutput: {
/**
- * Type
+ * type
* @default graph_output
- * @enum {string}
+ * @constant
*/
type: "graph_output";
};
@@ -3415,29 +3161,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default hed_image_processor
- * @enum {string}
- */
- type: "hed_image_processor";
/**
* Detect Resolution
* @description Pixel resolution for detection
@@ -3456,23 +3193,20 @@ export type components = {
* @default false
*/
scribble?: boolean;
+ /**
+ * type
+ * @default hed_image_processor
+ * @constant
+ */
+ type: "hed_image_processor";
};
/** IPAdapterField */
IPAdapterField: {
- /**
- * Image
- * @description The IP-Adapter image prompt.
- */
+ /** @description The IP-Adapter image prompt. */
image: components["schemas"]["ImageField"];
- /**
- * Ip Adapter Model
- * @description The IP-Adapter model to use.
- */
+ /** @description The IP-Adapter model to use. */
ip_adapter_model: components["schemas"]["IPAdapterModelField"];
- /**
- * Image Encoder Model
- * @description The name of the CLIP image encoder model.
- */
+ /** @description The name of the CLIP image encoder model. */
image_encoder_model: components["schemas"]["CLIPVisionModelField"];
/**
* Weight
@@ -3508,22 +3242,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The IP-Adapter image prompt.
- */
+ use_cache?: boolean | null;
+ /** @description The IP-Adapter image prompt. */
image?: components["schemas"]["ImageField"];
/**
* IP-Adapter Model
@@ -3549,23 +3280,17 @@ export type components = {
*/
end_step_percent?: number;
/**
- * Type
+ * type
* @default ip_adapter
- * @enum {string}
+ * @constant
*/
type: "ip_adapter";
};
/** IPAdapterMetadataField */
IPAdapterMetadataField: {
- /**
- * Image
- * @description The IP-Adapter image prompt.
- */
+ /** @description The IP-Adapter image prompt. */
image: components["schemas"]["ImageField"];
- /**
- * Ip Adapter Model
- * @description The IP-Adapter model to use.
- */
+ /** @description The IP-Adapter model to use. */
ip_adapter_model: components["schemas"]["IPAdapterModelField"];
/**
* Weight
@@ -3602,26 +3327,22 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default ip_adapter
+ * @constant
*/
model_type: "ip_adapter";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "invokeai";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
};
- /**
- * IPAdapterOutput
- * @description Base class for all invocation outputs.
- *
- * All invocation outputs must use the `@invocation_output` decorator to provide their unique type.
- */
+ /** IPAdapterOutput */
IPAdapterOutput: {
/**
* IP-Adapter
@@ -3629,9 +3350,9 @@ export type components = {
*/
ip_adapter: components["schemas"]["IPAdapterField"];
/**
- * Type
+ * type
* @default ip_adapter_output
- * @enum {string}
+ * @constant
*/
type: "ip_adapter_output";
};
@@ -3650,22 +3371,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to blur
- */
+ use_cache?: boolean | null;
+ /** @description The image to blur */
image?: components["schemas"]["ImageField"];
/**
* Radius
@@ -3681,9 +3399,9 @@ export type components = {
*/
blur_type?: "gaussian" | "box";
/**
- * Type
+ * type
* @default img_blur
- * @enum {string}
+ * @constant
*/
type: "img_blur";
};
@@ -3714,22 +3432,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to get the channel from
- */
+ use_cache?: boolean | null;
+ /** @description The image to get the channel from */
image?: components["schemas"]["ImageField"];
/**
* Channel
@@ -3739,9 +3454,9 @@ export type components = {
*/
channel?: "A" | "R" | "G" | "B";
/**
- * Type
+ * type
* @default img_chan
- * @enum {string}
+ * @constant
*/
type: "img_chan";
};
@@ -3760,22 +3475,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to adjust
- */
+ use_cache?: boolean | null;
+ /** @description The image to adjust */
image?: components["schemas"]["ImageField"];
/**
* Channel
@@ -3796,9 +3508,9 @@ export type components = {
*/
invert_channel?: boolean;
/**
- * Type
+ * type
* @default img_channel_multiply
- * @enum {string}
+ * @constant
*/
type: "img_channel_multiply";
};
@@ -3817,22 +3529,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to adjust
- */
+ use_cache?: boolean | null;
+ /** @description The image to adjust */
image?: components["schemas"]["ImageField"];
/**
* Channel
@@ -3847,9 +3556,9 @@ export type components = {
*/
offset?: number;
/**
- * Type
+ * type
* @default img_channel_offset
- * @enum {string}
+ * @constant
*/
type: "img_channel_offset";
};
@@ -3868,27 +3577,27 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Collection
* @description The collection of image values
*/
collection?: components["schemas"]["ImageField"][];
/**
- * Type
+ * type
* @default image_collection
- * @enum {string}
+ * @constant
*/
type: "image_collection";
};
@@ -3903,9 +3612,9 @@ export type components = {
*/
collection: components["schemas"]["ImageField"][];
/**
- * Type
+ * type
* @default image_collection_output
- * @enum {string}
+ * @constant
*/
type: "image_collection_output";
};
@@ -3924,22 +3633,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to convert
- */
+ use_cache?: boolean | null;
+ /** @description The image to convert */
image?: components["schemas"]["ImageField"];
/**
* Mode
@@ -3949,9 +3655,9 @@ export type components = {
*/
mode?: "L" | "RGB" | "RGBA" | "CMYK" | "YCbCr" | "LAB" | "HSV" | "I" | "F";
/**
- * Type
+ * type
* @default img_conv
- * @enum {string}
+ * @constant
*/
type: "img_conv";
};
@@ -3970,22 +3676,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to crop
- */
+ use_cache?: boolean | null;
+ /** @description The image to crop */
image?: components["schemas"]["ImageField"];
/**
* X
@@ -4012,9 +3715,9 @@ export type components = {
*/
height?: number;
/**
- * Type
+ * type
* @default img_crop
- * @enum {string}
+ * @constant
*/
type: "img_crop";
};
@@ -4066,7 +3769,7 @@ export type components = {
* Deleted At
* @description The deleted timestamp of the image.
*/
- deleted_at?: string;
+ deleted_at?: string | null;
/**
* Is Intermediate
* @description Whether this is an intermediate image.
@@ -4076,12 +3779,12 @@ export type components = {
* Session Id
* @description The session ID that generated this image, if it is a generated image.
*/
- session_id?: string;
+ session_id?: string | null;
/**
* Node Id
* @description The node ID that generated this image, if it is a generated image.
*/
- node_id?: string;
+ node_id?: string | null;
/**
* Starred
* @description Whether this image is starred.
@@ -4091,7 +3794,7 @@ export type components = {
* Board Id
* @description The id of the board the image belongs to, if one exists.
*/
- board_id?: string;
+ board_id?: string | null;
};
/**
* ImageField
@@ -4119,22 +3822,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to adjust
- */
+ use_cache?: boolean | null;
+ /** @description The image to adjust */
image?: components["schemas"]["ImageField"];
/**
* Hue
@@ -4143,9 +3843,9 @@ export type components = {
*/
hue?: number;
/**
- * Type
+ * type
* @default img_hue_adjust
- * @enum {string}
+ * @constant
*/
type: "img_hue_adjust";
};
@@ -4164,22 +3864,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to lerp
- */
+ use_cache?: boolean | null;
+ /** @description The image to lerp */
image?: components["schemas"]["ImageField"];
/**
* Min
@@ -4194,9 +3891,9 @@ export type components = {
*/
max?: number;
/**
- * Type
+ * type
* @default img_ilerp
- * @enum {string}
+ * @constant
*/
type: "img_ilerp";
};
@@ -4215,27 +3912,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to load
- */
+ use_cache?: boolean | null;
+ /** @description The image to load */
image?: components["schemas"]["ImageField"];
/**
- * Type
+ * type
* @default image
- * @enum {string}
+ * @constant
*/
type: "image";
};
@@ -4254,22 +3948,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to lerp
- */
+ use_cache?: boolean | null;
+ /** @description The image to lerp */
image?: components["schemas"]["ImageField"];
/**
* Min
@@ -4284,9 +3975,9 @@ export type components = {
*/
max?: number;
/**
- * Type
+ * type
* @default img_lerp
- * @enum {string}
+ * @constant
*/
type: "img_lerp";
};
@@ -4299,12 +3990,12 @@ export type components = {
* Metadata
* @description The image's core metadata, if it was created in the Linear or Canvas UI
*/
- metadata?: Record<string, never>;
+ metadata?: Record<string, never> | null;
/**
* Graph
* @description The graph that created the image
*/
- graph?: Record<string, never>;
+ graph?: Record<string, never> | null;
};
/**
* Multiply Images
@@ -4321,32 +4012,26 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image1
- * @description The first image to multiply
- */
+ use_cache?: boolean | null;
+ /** @description The first image to multiply */
image1?: components["schemas"]["ImageField"];
- /**
- * Image2
- * @description The second image to multiply
- */
+ /** @description The second image to multiply */
image2?: components["schemas"]["ImageField"];
/**
- * Type
+ * type
* @default img_mul
- * @enum {string}
+ * @constant
*/
type: "img_mul";
};
@@ -4365,44 +4050,35 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
+ /** @description The image to check */
+ image?: components["schemas"]["ImageField"];
+ /** @description Optional core metadata to be written to image */
+ metadata?: components["schemas"]["CoreMetadata"] | null;
/**
- * Metadata
- * @description Optional core metadata to be written to image
- */
- metadata?: components["schemas"]["CoreMetadata"];
- /**
- * Type
+ * type
* @default img_nsfw
- * @enum {string}
+ * @constant
*/
type: "img_nsfw";
- /**
- * Image
- * @description The image to check
- */
- image?: components["schemas"]["ImageField"];
};
/**
* ImageOutput
* @description Base class for nodes that output a single image
*/
ImageOutput: {
- /**
- * Image
- * @description The output image
- */
+ /** @description The output image */
image: components["schemas"]["ImageField"];
/**
* Width
@@ -4415,9 +4091,9 @@ export type components = {
*/
height: number;
/**
- * Type
+ * type
* @default image_output
- * @enum {string}
+ * @constant
*/
type: "image_output";
};
@@ -4436,33 +4112,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Base Image
- * @description The base image
- */
+ use_cache?: boolean | null;
+ /** @description The base image */
base_image?: components["schemas"]["ImageField"];
- /**
- * Image
- * @description The image to paste
- */
+ /** @description The image to paste */
image?: components["schemas"]["ImageField"];
- /**
- * Mask
- * @description The mask to use when pasting
- */
- mask?: components["schemas"]["ImageField"];
+ /** @description The mask to use when pasting */
+ mask?: components["schemas"]["ImageField"] | null;
/**
* X
* @description The left x coordinate at which to paste the image
@@ -4482,51 +4149,12 @@ export type components = {
*/
crop?: boolean;
/**
- * Type
+ * type
* @default img_paste
- * @enum {string}
+ * @constant
*/
type: "img_paste";
};
- /**
- * Base Image Processor
- * @description Base class for invocations that preprocess images for ControlNet
- */
- ImageProcessorInvocation: {
- /**
- * Id
- * @description The id of this instance of an invocation. Must be unique among all instances of invocations.
- */
- id: string;
- /**
- * Is Intermediate
- * @description Whether or not this is an intermediate invocation.
- * @default false
- */
- is_intermediate?: boolean;
- /**
- * Workflow
- * @description The workflow to save with the image
- */
- workflow?: string;
- /**
- * Use Cache
- * @description Whether or not to use the cache
- * @default true
- */
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
- image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default image_processor
- * @enum {string}
- */
- type: "image_processor";
- };
/**
* ImageRecordChanges
* @description A set of changes to apply to an image record.
@@ -4539,22 +4167,23 @@ export type components = {
*/
ImageRecordChanges: {
/** @description The image's new category. */
- image_category?: components["schemas"]["ImageCategory"];
+ image_category?: components["schemas"]["ImageCategory"] | null;
/**
* Session Id
* @description The image's new session ID.
*/
- session_id?: string;
+ session_id?: string | null;
/**
* Is Intermediate
* @description The image's new `is_intermediate` flag.
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Starred
* @description The image's new `starred` state
*/
- starred?: boolean;
+ starred?: boolean | null;
+ [key: string]: unknown;
};
/**
* Resize Image
@@ -4571,22 +4200,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to resize
- */
+ use_cache?: boolean | null;
+ /** @description The image to resize */
image?: components["schemas"]["ImageField"];
/**
* Width
@@ -4607,15 +4233,12 @@ export type components = {
* @enum {string}
*/
resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
+ /** @description Optional core metadata to be written to image */
+ metadata?: components["schemas"]["CoreMetadata"] | null;
/**
- * Metadata
- * @description Optional core metadata to be written to image
- */
- metadata?: components["schemas"]["CoreMetadata"];
- /**
- * Type
+ * type
* @default img_resize
- * @enum {string}
+ * @constant
*/
type: "img_resize";
};
@@ -4634,22 +4257,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to scale
- */
+ use_cache?: boolean | null;
+ /** @description The image to scale */
image?: components["schemas"]["ImageField"];
/**
* Scale Factor
@@ -4665,9 +4285,9 @@ export type components = {
*/
resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
/**
- * Type
+ * type
* @default img_scale
- * @enum {string}
+ * @constant
*/
type: "img_scale";
};
@@ -4686,27 +4306,21 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to encode
- */
+ use_cache?: boolean | null;
+ /** @description The image to encode */
image?: components["schemas"]["ImageField"];
- /**
- * Vae
- * @description VAE
- */
+ /** @description VAE */
vae?: components["schemas"]["VaeField"];
/**
* Tiled
@@ -4721,9 +4335,9 @@ export type components = {
*/
fp32?: boolean;
/**
- * Type
+ * type
* @default i2l
- * @enum {string}
+ * @constant
*/
type: "i2l";
};
@@ -4763,22 +4377,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to check
- */
+ use_cache?: boolean | null;
+ /** @description The image to check */
image?: components["schemas"]["ImageField"];
/**
* Text
@@ -4786,18 +4397,23 @@ export type components = {
* @default InvokeAI
*/
text?: string;
+ /** @description Optional core metadata to be written to image */
+ metadata?: components["schemas"]["CoreMetadata"] | null;
/**
- * Metadata
- * @description Optional core metadata to be written to image
- */
- metadata?: components["schemas"]["CoreMetadata"];
- /**
- * Type
+ * type
* @default img_watermark
- * @enum {string}
+ * @constant
*/
type: "img_watermark";
};
+ /** ImagesDownloaded */
+ ImagesDownloaded: {
+ /**
+ * Response
+ * @description If defined, the message to display to the user when images begin downloading
+ */
+ response: string | null;
+ };
/** ImagesUpdatedFromListResult */
ImagesUpdatedFromListResult: {
/**
@@ -4821,38 +4437,34 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to infill
- */
+ use_cache?: boolean | null;
+ /** @description The image to infill */
image?: components["schemas"]["ImageField"];
/**
- * Color
* @description The color to use to infill
* @default {
- * "r": 127,
- * "g": 127,
+ * "a": 255,
* "b": 127,
- * "a": 255
+ * "g": 127,
+ * "r": 127
* }
*/
color?: components["schemas"]["ColorField"];
/**
- * Type
+ * type
* @default infill_rgba
- * @enum {string}
+ * @constant
*/
type: "infill_rgba";
};
@@ -4871,22 +4483,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to infill
- */
+ use_cache?: boolean | null;
+ /** @description The image to infill */
image?: components["schemas"]["ImageField"];
/**
* Downscale
@@ -4902,9 +4511,9 @@ export type components = {
*/
resample_mode?: "nearest" | "box" | "bilinear" | "hamming" | "bicubic" | "lanczos";
/**
- * Type
+ * type
* @default infill_patchmatch
- * @enum {string}
+ * @constant
*/
type: "infill_patchmatch";
};
@@ -4923,22 +4532,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to infill
- */
+ use_cache?: boolean | null;
+ /** @description The image to infill */
image?: components["schemas"]["ImageField"];
/**
* Tile Size
@@ -4952,9 +4558,9 @@ export type components = {
*/
seed?: number;
/**
- * Type
+ * type
* @default infill_tile
- * @enum {string}
+ * @constant
*/
type: "infill_tile";
};
@@ -4973,27 +4579,27 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Collection
* @description The collection of integer values
*/
collection?: number[];
/**
- * Type
+ * type
* @default integer_collection
- * @enum {string}
+ * @constant
*/
type: "integer_collection";
};
@@ -5008,9 +4614,9 @@ export type components = {
*/
collection: number[];
/**
- * Type
+ * type
* @default integer_collection_output
- * @enum {string}
+ * @constant
*/
type: "integer_collection_output";
};
@@ -5029,18 +4635,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Value
* @description The integer value
@@ -5048,9 +4654,9 @@ export type components = {
*/
value?: number;
/**
- * Type
+ * type
* @default integer
- * @enum {string}
+ * @constant
*/
type: "integer";
};
@@ -5069,18 +4675,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Operation
* @description The operation to perform
@@ -5101,9 +4707,9 @@ export type components = {
*/
b?: number;
/**
- * Type
+ * type
* @default integer_math
- * @enum {string}
+ * @constant
*/
type: "integer_math";
};
@@ -5118,9 +4724,9 @@ export type components = {
*/
value: number;
/**
- * Type
+ * type
* @default integer_output
- * @enum {string}
+ * @constant
*/
type: "integer_output";
};
@@ -5167,18 +4773,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Collection
* @description The list of items to iterate over
@@ -5191,9 +4797,9 @@ export type components = {
*/
index?: number;
/**
- * Type
+ * type
* @default iterate
- * @enum {string}
+ * @constant
*/
type: "iterate";
};
@@ -5206,11 +4812,11 @@ export type components = {
* Collection Item
* @description The item being iterated over
*/
- item?: unknown;
+ item: unknown;
/**
- * Type
+ * type
* @default iterate_output
- * @enum {string}
+ * @constant
*/
type: "iterate_output";
};
@@ -5229,27 +4835,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to infill
- */
+ use_cache?: boolean | null;
+ /** @description The image to infill */
image?: components["schemas"]["ImageField"];
/**
- * Type
+ * type
* @default infill_lama
- * @enum {string}
+ * @constant
*/
type: "infill_lama";
};
@@ -5268,27 +4871,27 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Collection
* @description The collection of latents tensors
*/
collection?: components["schemas"]["LatentsField"][];
/**
- * Type
+ * type
* @default latents_collection
- * @enum {string}
+ * @constant
*/
type: "latents_collection";
};
@@ -5303,9 +4906,9 @@ export type components = {
*/
collection: components["schemas"]["LatentsField"][];
/**
- * Type
+ * type
* @default latents_collection_output
- * @enum {string}
+ * @constant
*/
type: "latents_collection_output";
};
@@ -5323,7 +4926,7 @@ export type components = {
* Seed
* @description Seed used to generate this latents
*/
- seed?: number;
+ seed?: number | null;
};
/**
* Latents Primitive
@@ -5340,27 +4943,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Latents
- * @description The latents tensor
- */
+ use_cache?: boolean | null;
+ /** @description The latents tensor */
latents?: components["schemas"]["LatentsField"];
/**
- * Type
+ * type
* @default latents
- * @enum {string}
+ * @constant
*/
type: "latents";
};
@@ -5369,10 +4969,7 @@ export type components = {
* @description Base class for nodes that output a single latents tensor
*/
LatentsOutput: {
- /**
- * Latents
- * @description Latents tensor
- */
+ /** @description Latents tensor */
latents: components["schemas"]["LatentsField"];
/**
* Width
@@ -5385,9 +4982,9 @@ export type components = {
*/
height: number;
/**
- * Type
+ * type
* @default latents_output
- * @enum {string}
+ * @constant
*/
type: "latents_output";
};
@@ -5406,18 +5003,22 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
+ /** @description Latents tensor */
+ latents?: components["schemas"]["LatentsField"];
+ /** @description VAE */
+ vae?: components["schemas"]["VaeField"];
/**
* Tiled
* @description Processing using overlapping tiles (reduce memory consumption)
@@ -5430,27 +5031,14 @@ export type components = {
* @default false
*/
fp32?: boolean;
+ /** @description Optional core metadata to be written to image */
+ metadata?: components["schemas"]["CoreMetadata"] | null;
/**
- * Metadata
- * @description Optional core metadata to be written to image
- */
- metadata?: components["schemas"]["CoreMetadata"];
- /**
- * Type
+ * type
* @default l2i
- * @enum {string}
+ * @constant
*/
type: "l2i";
- /**
- * Latents
- * @description Latents tensor
- */
- latents?: components["schemas"]["LatentsField"];
- /**
- * Vae
- * @description VAE
- */
- vae?: components["schemas"]["VaeField"];
};
/**
* Leres (Depth) Processor
@@ -5467,29 +5055,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default leres_image_processor
- * @enum {string}
- */
- type: "leres_image_processor";
/**
* Thr A
* @description Leres parameter `thr_a`
@@ -5520,6 +5099,12 @@ export type components = {
* @default 512
*/
image_resolution?: number;
+ /**
+ * type
+ * @default leres_image_processor
+ * @constant
+ */
+ type: "leres_image_processor";
};
/**
* Lineart Anime Processor
@@ -5536,29 +5121,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default lineart_anime_image_processor
- * @enum {string}
- */
- type: "lineart_anime_image_processor";
/**
* Detect Resolution
* @description Pixel resolution for detection
@@ -5571,6 +5147,12 @@ export type components = {
* @default 512
*/
image_resolution?: number;
+ /**
+ * type
+ * @default lineart_anime_image_processor
+ * @constant
+ */
+ type: "lineart_anime_image_processor";
};
/**
* Lineart Processor
@@ -5587,29 +5169,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default lineart_image_processor
- * @enum {string}
- */
- type: "lineart_image_processor";
/**
* Detect Resolution
* @description Pixel resolution for detection
@@ -5628,16 +5201,19 @@ export type components = {
* @default false
*/
coarse?: boolean;
+ /**
+ * type
+ * @default lineart_image_processor
+ * @constant
+ */
+ type: "lineart_image_processor";
};
/**
* LoRAMetadataField
* @description LoRA metadata for an image generated in InvokeAI.
*/
LoRAMetadataField: {
- /**
- * Lora
- * @description The LoRA model
- */
+ /** @description The LoRA model */
lora: components["schemas"]["LoRAModelField"];
/**
* Weight
@@ -5652,15 +5228,16 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default lora
+ * @constant
*/
model_type: "lora";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
model_format: components["schemas"]["LoRAModelFormat"];
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
};
/**
* LoRAModelField
@@ -5677,13 +5254,11 @@ export type components = {
};
/**
* LoRAModelFormat
- * @description An enumeration.
* @enum {string}
*/
LoRAModelFormat: "lycoris" | "diffusers";
/**
* LogLevel
- * @description An enumeration.
* @enum {integer}
*/
LogLevel: 0 | 10 | 20 | 30 | 40 | 50;
@@ -5699,7 +5274,7 @@ export type components = {
/** @description Info to load submodel */
model_type: components["schemas"]["ModelType"];
/** @description Info to load submodel */
- submodel?: components["schemas"]["SubModelType"];
+ submodel?: components["schemas"]["SubModelType"] | null;
/**
* Weight
* @description Lora's weight which to use when apply to model
@@ -5721,18 +5296,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* LoRA
* @description LoRA model to load
@@ -5748,16 +5323,16 @@ export type components = {
* UNet
* @description UNet (scheduler, LoRAs)
*/
- unet?: components["schemas"]["UNetField"];
+ unet?: components["schemas"]["UNetField"] | null;
/**
* CLIP
* @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
*/
- clip?: components["schemas"]["ClipField"];
+ clip?: components["schemas"]["ClipField"] | null;
/**
- * Type
+ * type
* @default lora_loader
- * @enum {string}
+ * @constant
*/
type: "lora_loader";
};
@@ -5770,16 +5345,16 @@ export type components = {
* UNet
* @description UNet (scheduler, LoRAs)
*/
- unet?: components["schemas"]["UNetField"];
+ unet?: components["schemas"]["UNetField"] | null;
/**
* CLIP
* @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
*/
- clip?: components["schemas"]["ClipField"];
+ clip?: components["schemas"]["ClipField"] | null;
/**
- * Type
+ * type
* @default lora_loader_output
- * @enum {string}
+ * @constant
*/
type: "lora_loader_output";
};
@@ -5813,27 +5388,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Model
- * @description Main model (UNet, VAE, CLIP) to load
- */
+ use_cache?: boolean | null;
+ /** @description Main model (UNet, VAE, CLIP) to load */
model: components["schemas"]["MainModelField"];
/**
- * Type
+ * type
* @default main_model_loader
- * @enum {string}
+ * @constant
*/
type: "main_model_loader";
};
@@ -5852,32 +5424,26 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Mask1
- * @description The first mask to combine
- */
+ use_cache?: boolean | null;
+ /** @description The first mask to combine */
mask1?: components["schemas"]["ImageField"];
- /**
- * Mask2
- * @description The second image to combine
- */
+ /** @description The second image to combine */
mask2?: components["schemas"]["ImageField"];
/**
- * Type
+ * type
* @default mask_combine
- * @enum {string}
+ * @constant
*/
type: "mask_combine";
};
@@ -5896,22 +5462,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to apply the mask to
- */
+ use_cache?: boolean | null;
+ /** @description The image to apply the mask to */
image?: components["schemas"]["ImageField"];
/**
* Edge Size
@@ -5934,9 +5497,9 @@ export type components = {
*/
high_threshold?: number;
/**
- * Type
+ * type
* @default mask_edge
- * @enum {string}
+ * @constant
*/
type: "mask_edge";
};
@@ -5955,22 +5518,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to create the mask from
- */
+ use_cache?: boolean | null;
+ /** @description The image to create the mask from */
image?: components["schemas"]["ImageField"];
/**
* Invert
@@ -5979,9 +5539,9 @@ export type components = {
*/
invert?: boolean;
/**
- * Type
+ * type
* @default tomask
- * @enum {string}
+ * @constant
*/
type: "tomask";
};
@@ -6000,29 +5560,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default mediapipe_face_processor
- * @enum {string}
- */
- type: "mediapipe_face_processor";
/**
* Max Faces
* @description Maximum number of faces to detect
@@ -6035,13 +5586,50 @@ export type components = {
* @default 0.5
*/
min_confidence?: number;
+ /**
+ * type
+ * @default mediapipe_face_processor
+ * @constant
+ */
+ type: "mediapipe_face_processor";
};
/**
* MergeInterpolationMethod
- * @description An enumeration.
* @enum {string}
*/
MergeInterpolationMethod: "weighted_sum" | "sigmoid" | "inv_sigmoid" | "add_difference";
+ /** MergeModelsBody */
+ MergeModelsBody: {
+ /**
+ * Model Names
+ * @description model name
+ */
+ model_names: string[];
+ /**
+ * Merged Model Name
+ * @description Name of destination model
+ */
+ merged_model_name: string | null;
+ /**
+ * Alpha
+ * @description Alpha weighting strength to apply to 2d and 3d models
+ * @default 0.5
+ */
+ alpha?: number | null;
+ /** @description Interpolation method */
+ interp: components["schemas"]["MergeInterpolationMethod"] | null;
+ /**
+ * Force
+ * @description Force merging of models created with different versions of diffusers
+ * @default false
+ */
+ force?: boolean | null;
+ /**
+ * Merge Dest Directory
+ * @description Save the merged model to the designated directory (with 'merged_model_name' appended)
+ */
+ merge_dest_directory?: string | null;
+ };
/**
* Metadata Accumulator
* @description Outputs a Core Metadata Object
@@ -6057,162 +5645,168 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Generation Mode
* @description The generation mode that output this image
*/
- generation_mode?: string;
+ generation_mode?: string | null;
/**
* Positive Prompt
* @description The positive prompt parameter
*/
- positive_prompt?: string;
+ positive_prompt?: string | null;
/**
* Negative Prompt
* @description The negative prompt parameter
*/
- negative_prompt?: string;
+ negative_prompt?: string | null;
/**
* Width
* @description The width parameter
*/
- width?: number;
+ width?: number | null;
/**
* Height
* @description The height parameter
*/
- height?: number;
+ height?: number | null;
/**
* Seed
* @description The seed used for noise generation
*/
- seed?: number;
+ seed?: number | null;
/**
* Rand Device
* @description The device used for random number generation
*/
- rand_device?: string;
+ rand_device?: string | null;
/**
* Cfg Scale
* @description The classifier-free guidance scale parameter
*/
- cfg_scale?: number;
+ cfg_scale?: number | null;
/**
* Steps
* @description The number of steps used for inference
*/
- steps?: number;
+ steps?: number | null;
/**
* Scheduler
* @description The scheduler used for inference
*/
- scheduler?: string;
+ scheduler?: string | null;
/**
* Clip Skip
* @description The number of skipped CLIP layers
*/
- clip_skip?: number;
- /**
- * Model
- * @description The main model used for inference
- */
- model?: components["schemas"]["MainModelField"];
+ clip_skip?: number | null;
+ /** @description The main model used for inference */
+ model?: components["schemas"]["MainModelField"] | null;
/**
* Controlnets
* @description The ControlNets used for inference
*/
- controlnets?: components["schemas"]["ControlField"][];
+ controlnets?: components["schemas"]["ControlField"][] | null;
/**
* Ipadapters
* @description The IP Adapters used for inference
*/
- ipAdapters?: components["schemas"]["IPAdapterMetadataField"][];
+ ipAdapters?: components["schemas"]["IPAdapterMetadataField"][] | null;
/**
* T2Iadapters
* @description The IP Adapters used for inference
*/
- t2iAdapters: components["schemas"]["T2IAdapterField"][];
+ t2iAdapters?: components["schemas"]["T2IAdapterField"][] | null;
/**
* Loras
* @description The LoRAs used for inference
*/
- loras?: components["schemas"]["LoRAMetadataField"][];
+ loras?: components["schemas"]["LoRAMetadataField"][] | null;
/**
* Strength
* @description The strength used for latents-to-latents
*/
- strength?: number;
+ strength?: number | null;
/**
* Init Image
* @description The name of the initial image
*/
- init_image?: string;
+ init_image?: string | null;
+ /** @description The VAE used for decoding, if the main model's default was not used */
+ vae?: components["schemas"]["VAEModelField"] | null;
/**
- * Vae
- * @description The VAE used for decoding, if the main model's default was not used
+ * Hrf Width
+ * @description The high resolution fix height and width multipler.
*/
- vae?: components["schemas"]["VAEModelField"];
+ hrf_width?: number | null;
+ /**
+ * Hrf Height
+ * @description The high resolution fix height and width multipler.
+ */
+ hrf_height?: number | null;
+ /**
+ * Hrf Strength
+ * @description The high resolution fix img2img strength used in the upscale pass.
+ */
+ hrf_strength?: number | null;
/**
* Positive Style Prompt
* @description The positive style prompt parameter
*/
- positive_style_prompt?: string;
+ positive_style_prompt?: string | null;
/**
* Negative Style Prompt
* @description The negative style prompt parameter
*/
- negative_style_prompt?: string;
- /**
- * Refiner Model
- * @description The SDXL Refiner model used
- */
- refiner_model?: components["schemas"]["MainModelField"];
+ negative_style_prompt?: string | null;
+ /** @description The SDXL Refiner model used */
+ refiner_model?: components["schemas"]["MainModelField"] | null;
/**
* Refiner Cfg Scale
* @description The classifier-free guidance scale parameter used for the refiner
*/
- refiner_cfg_scale?: number;
+ refiner_cfg_scale?: number | null;
/**
* Refiner Steps
* @description The number of steps used for the refiner
*/
- refiner_steps?: number;
+ refiner_steps?: number | null;
/**
* Refiner Scheduler
* @description The scheduler used for the refiner
*/
- refiner_scheduler?: string;
+ refiner_scheduler?: string | null;
/**
* Refiner Positive Aesthetic Score
* @description The aesthetic score used for the refiner
*/
- refiner_positive_aesthetic_score?: number;
+ refiner_positive_aesthetic_score?: number | null;
/**
* Refiner Negative Aesthetic Score
* @description The aesthetic score used for the refiner
*/
- refiner_negative_aesthetic_score?: number;
+ refiner_negative_aesthetic_score?: number | null;
/**
* Refiner Start
* @description The start value used for refiner denoising
*/
- refiner_start?: number;
+ refiner_start?: number | null;
/**
- * Type
+ * type
* @default metadata_accumulator
- * @enum {string}
+ * @constant
*/
type: "metadata_accumulator";
};
@@ -6221,15 +5815,12 @@ export type components = {
* @description The output of the MetadataAccumulator node
*/
MetadataAccumulatorOutput: {
- /**
- * Metadata
- * @description The core metadata for the image
- */
+ /** @description The core metadata for the image */
metadata: components["schemas"]["CoreMetadata"];
/**
- * Type
+ * type
* @default metadata_accumulator_output
- * @enum {string}
+ * @constant
*/
type: "metadata_accumulator_output";
};
@@ -6248,29 +5839,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default midas_depth_image_processor
- * @enum {string}
- */
- type: "midas_depth_image_processor";
/**
* A Mult
* @description Midas parameter `a_mult` (a = a_mult * PI)
@@ -6283,6 +5865,12 @@ export type components = {
* @default 0.1
*/
bg_th?: number;
+ /**
+ * type
+ * @default midas_depth_image_processor
+ * @constant
+ */
+ type: "midas_depth_image_processor";
};
/**
* MLSD Processor
@@ -6299,29 +5887,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default mlsd_image_processor
- * @enum {string}
- */
- type: "mlsd_image_processor";
/**
* Detect Resolution
* @description Pixel resolution for detection
@@ -6346,11 +5925,16 @@ export type components = {
* @default 0.1
*/
thr_d?: number;
+ /**
+ * type
+ * @default mlsd_image_processor
+ * @constant
+ */
+ type: "mlsd_image_processor";
};
/**
* ModelError
- * @description An enumeration.
- * @enum {string}
+ * @constant
*/
ModelError: "not_found";
/** ModelInfo */
@@ -6365,7 +5949,7 @@ export type components = {
/** @description Info to load submodel */
model_type: components["schemas"]["ModelType"];
/** @description Info to load submodel */
- submodel?: components["schemas"]["SubModelType"];
+ submodel?: components["schemas"]["SubModelType"] | null;
};
/**
* ModelLoaderOutput
@@ -6388,21 +5972,19 @@ export type components = {
*/
vae: components["schemas"]["VaeField"];
/**
- * Type
+ * type
* @default model_loader_output
- * @enum {string}
+ * @constant
*/
type: "model_loader_output";
};
/**
* ModelType
- * @description An enumeration.
* @enum {string}
*/
ModelType: "onnx" | "main" | "vae" | "lora" | "controlnet" | "embedding" | "ip_adapter" | "clip_vision" | "t2i_adapter";
/**
* ModelVariantType
- * @description An enumeration.
* @enum {string}
*/
ModelVariantType: "normal" | "inpaint" | "depth";
@@ -6426,18 +6008,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* A
* @description The first number
@@ -6451,9 +6033,9 @@ export type components = {
*/
b?: number;
/**
- * Type
+ * type
* @default mul
- * @enum {string}
+ * @constant
*/
type: "mul";
};
@@ -6490,18 +6072,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Seed
* @description Seed for random number generation
@@ -6526,9 +6108,9 @@ export type components = {
*/
use_cpu?: boolean;
/**
- * Type
+ * type
* @default noise
- * @enum {string}
+ * @constant
*/
type: "noise";
};
@@ -6537,11 +6119,8 @@ export type components = {
* @description Invocation noise output
*/
NoiseOutput: {
- /**
- * Noise
- * @description Noise tensor
- */
- noise?: components["schemas"]["LatentsField"];
+ /** @description Noise tensor */
+ noise: components["schemas"]["LatentsField"];
/**
* Width
* @description Width of output (px)
@@ -6553,9 +6132,9 @@ export type components = {
*/
height: number;
/**
- * Type
+ * type
* @default noise_output
- * @enum {string}
+ * @constant
*/
type: "noise_output";
};
@@ -6574,29 +6153,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default normalbae_image_processor
- * @enum {string}
- */
- type: "normalbae_image_processor";
/**
* Detect Resolution
* @description Pixel resolution for detection
@@ -6609,6 +6179,12 @@ export type components = {
* @default 512
*/
image_resolution?: number;
+ /**
+ * type
+ * @default normalbae_image_processor
+ * @constant
+ */
+ type: "normalbae_image_processor";
};
/**
* ONNX Latents to Image
@@ -6625,37 +6201,28 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Latents
- * @description Denoised latents tensor
- */
+ use_cache?: boolean | null;
+ /** @description Denoised latents tensor */
latents?: components["schemas"]["LatentsField"];
- /**
- * Vae
- * @description VAE
- */
+ /** @description VAE */
vae?: components["schemas"]["VaeField"];
+ /** @description Optional core metadata to be written to image */
+ metadata?: components["schemas"]["CoreMetadata"] | null;
/**
- * Metadata
- * @description Optional core metadata to be written to image
- */
- metadata?: components["schemas"]["CoreMetadata"];
- /**
- * Type
+ * type
* @default l2i_onnx
- * @enum {string}
+ * @constant
*/
type: "l2i_onnx";
};
@@ -6685,19 +6252,13 @@ export type components = {
*/
vae_encoder?: components["schemas"]["VaeField"];
/**
- * Type
+ * type
* @default model_loader_output_onnx
- * @enum {string}
+ * @constant
*/
type: "model_loader_output_onnx";
};
- /**
- * ONNX Prompt (Raw)
- * @description A node to process inputs and produce outputs.
- * May use dependency injection in __init__ to receive providers.
- *
- * All invocations must use the `@invocation` decorator to provide their unique type.
- */
+ /** ONNX Prompt (Raw) */
ONNXPromptInvocation: {
/**
* Id
@@ -6709,33 +6270,30 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Prompt
* @description Raw prompt text (no parsing)
* @default
*/
prompt?: string;
- /**
- * Clip
- * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
- */
+ /** @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count */
clip?: components["schemas"]["ClipField"];
/**
- * Type
+ * type
* @default prompt_onnx
- * @enum {string}
+ * @constant
*/
type: "prompt_onnx";
};
@@ -6746,19 +6304,20 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default onnx
+ * @constant
*/
model_type: "onnx";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "onnx";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
variant: components["schemas"]["ModelVariantType"];
};
/** ONNXStableDiffusion2ModelConfig */
@@ -6768,19 +6327,20 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default onnx
+ * @constant
*/
model_type: "onnx";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "onnx";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
variant: components["schemas"]["ModelVariantType"];
prediction_type: components["schemas"]["SchedulerPredictionType"];
/** Upcast Attention */
@@ -6801,32 +6361,23 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Positive Conditioning
- * @description Positive conditioning tensor
- */
+ use_cache?: boolean | null;
+ /** @description Positive conditioning tensor */
positive_conditioning?: components["schemas"]["ConditioningField"];
- /**
- * Negative Conditioning
- * @description Negative conditioning tensor
- */
+ /** @description Negative conditioning tensor */
negative_conditioning?: components["schemas"]["ConditioningField"];
- /**
- * Noise
- * @description Noise tensor
- */
+ /** @description Noise tensor */
noise?: components["schemas"]["LatentsField"];
/**
* Steps
@@ -6854,10 +6405,7 @@ export type components = {
* @enum {string}
*/
precision?: "tensor(bool)" | "tensor(int8)" | "tensor(uint8)" | "tensor(int16)" | "tensor(uint16)" | "tensor(int32)" | "tensor(uint32)" | "tensor(int64)" | "tensor(uint64)" | "tensor(float16)" | "tensor(float)" | "tensor(double)";
- /**
- * Unet
- * @description UNet (scheduler, LoRAs)
- */
+ /** @description UNet (scheduler, LoRAs) */
unet?: components["schemas"]["UNetField"];
/**
* Control
@@ -6865,63 +6413,57 @@ export type components = {
*/
control?: components["schemas"]["ControlField"] | components["schemas"]["ControlField"][];
/**
- * Type
+ * type
* @default t2l_onnx
- * @enum {string}
+ * @constant
*/
type: "t2l_onnx";
};
- /**
- * OffsetPaginatedResults[BoardDTO]
- * @description Offset-paginated results
- */
+ /** OffsetPaginatedResults[BoardDTO] */
OffsetPaginatedResults_BoardDTO_: {
+ /**
+ * Limit
+ * @description Limit of items to get
+ */
+ limit: number;
+ /**
+ * Offset
+ * @description Offset from which to retrieve items
+ */
+ offset: number;
+ /**
+ * Total
+ * @description Total number of items in result
+ */
+ total: number;
/**
* Items
* @description Items
*/
items: components["schemas"]["BoardDTO"][];
- /**
- * Offset
- * @description Offset from which to retrieve items
- */
- offset: number;
+ };
+ /** OffsetPaginatedResults[ImageDTO] */
+ OffsetPaginatedResults_ImageDTO_: {
/**
* Limit
* @description Limit of items to get
*/
limit: number;
+ /**
+ * Offset
+ * @description Offset from which to retrieve items
+ */
+ offset: number;
/**
* Total
* @description Total number of items in result
*/
total: number;
- };
- /**
- * OffsetPaginatedResults[ImageDTO]
- * @description Offset-paginated results
- */
- OffsetPaginatedResults_ImageDTO_: {
/**
* Items
* @description Items
*/
items: components["schemas"]["ImageDTO"][];
- /**
- * Offset
- * @description Offset from which to retrieve items
- */
- offset: number;
- /**
- * Limit
- * @description Limit of items to get
- */
- limit: number;
- /**
- * Total
- * @description Total number of items in result
- */
- total: number;
};
/**
* OnnxModelField
@@ -6953,27 +6495,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Model
- * @description ONNX Main model (UNet, VAE, CLIP) to load
- */
+ use_cache?: boolean | null;
+ /** @description ONNX Main model (UNet, VAE, CLIP) to load */
model: components["schemas"]["OnnxModelField"];
/**
- * Type
+ * type
* @default onnx_model_loader
- * @enum {string}
+ * @constant
*/
type: "onnx_model_loader";
};
@@ -6992,29 +6531,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default openpose_image_processor
- * @enum {string}
- */
- type: "openpose_image_processor";
/**
* Hand And Face
* @description Whether to use hands and face mode
@@ -7033,37 +6563,12 @@ export type components = {
* @default 512
*/
image_resolution?: number;
- };
- /**
- * PaginatedResults[GraphExecutionState]
- * @description Paginated results
- */
- PaginatedResults_GraphExecutionState_: {
/**
- * Items
- * @description Items
+ * type
+ * @default openpose_image_processor
+ * @constant
*/
- items: components["schemas"]["GraphExecutionState"][];
- /**
- * Page
- * @description Current Page
- */
- page: number;
- /**
- * Pages
- * @description Total number of pages
- */
- pages: number;
- /**
- * Per Page
- * @description Number of items per page
- */
- per_page: number;
- /**
- * Total
- * @description Total number of items in result
- */
- total: number;
+ type: "openpose_image_processor";
};
/**
* PIDI Processor
@@ -7080,29 +6585,20 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default pidi_image_processor
- * @enum {string}
- */
- type: "pidi_image_processor";
/**
* Detect Resolution
* @description Pixel resolution for detection
@@ -7127,6 +6623,12 @@ export type components = {
* @default false
*/
scribble?: boolean;
+ /**
+ * type
+ * @default pidi_image_processor
+ * @constant
+ */
+ type: "pidi_image_processor";
};
/**
* Prompts from File
@@ -7143,18 +6645,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* File Path
* @description Path to prompt text file
@@ -7164,12 +6666,12 @@ export type components = {
* Pre Prompt
* @description String to prepend to each prompt
*/
- pre_prompt?: string;
+ pre_prompt?: string | null;
/**
* Post Prompt
* @description String to append to each prompt
*/
- post_prompt?: string;
+ post_prompt?: string | null;
/**
* Start Line
* @description Line in the file to start start from
@@ -7183,9 +6685,9 @@ export type components = {
*/
max_prompts?: number;
/**
- * Type
+ * type
* @default prompt_from_file
- * @enum {string}
+ * @constant
*/
type: "prompt_from_file";
};
@@ -7215,18 +6717,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
- * @default true
+ * @default false
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Low
* @description The inclusive low value
@@ -7246,9 +6748,9 @@ export type components = {
*/
decimals?: number;
/**
- * Type
+ * type
* @default rand_float
- * @enum {string}
+ * @constant
*/
type: "rand_float";
};
@@ -7267,18 +6769,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default false
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Low
* @description The inclusive low value
@@ -7292,9 +6794,9 @@ export type components = {
*/
high?: number;
/**
- * Type
+ * type
* @default rand_int
- * @enum {string}
+ * @constant
*/
type: "rand_int";
};
@@ -7313,18 +6815,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default false
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Low
* @description The inclusive low value
@@ -7349,9 +6851,9 @@ export type components = {
*/
seed?: number;
/**
- * Type
+ * type
* @default random_range
- * @enum {string}
+ * @constant
*/
type: "random_range";
};
@@ -7370,18 +6872,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Start
* @description The start of the range
@@ -7401,9 +6903,9 @@ export type components = {
*/
step?: number;
/**
- * Type
+ * type
* @default range
- * @enum {string}
+ * @constant
*/
type: "range";
};
@@ -7422,18 +6924,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Start
* @description The start of the range
@@ -7453,9 +6955,9 @@ export type components = {
*/
step?: number;
/**
- * Type
+ * type
* @default range_of_size
- * @enum {string}
+ * @constant
*/
type: "range_of_size";
};
@@ -7482,22 +6984,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Latents
- * @description Latents tensor
- */
+ use_cache?: boolean | null;
+ /** @description Latents tensor */
latents?: components["schemas"]["LatentsField"];
/**
* Width
@@ -7523,9 +7022,9 @@ export type components = {
*/
antialias?: boolean;
/**
- * Type
+ * type
* @default lresize
- * @enum {string}
+ * @constant
*/
type: "lresize";
};
@@ -7554,18 +7053,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Value
* @description The float value
@@ -7579,9 +7078,9 @@ export type components = {
*/
decimals?: number;
/**
- * Type
+ * type
* @default round_float
- * @enum {string}
+ * @constant
*/
type: "round_float";
};
@@ -7600,18 +7099,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Prompt
* @description Prompt to be parsed by Compel to create a conditioning tensor
@@ -7665,9 +7164,9 @@ export type components = {
*/
clip2?: components["schemas"]["ClipField"];
/**
- * Type
+ * type
* @default sdxl_compel_prompt
- * @enum {string}
+ * @constant
*/
type: "sdxl_compel_prompt";
};
@@ -7686,18 +7185,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* LoRA
* @description LoRA model to load
@@ -7713,21 +7212,21 @@ export type components = {
* UNet
* @description UNet (scheduler, LoRAs)
*/
- unet?: components["schemas"]["UNetField"];
+ unet?: components["schemas"]["UNetField"] | null;
/**
* CLIP 1
* @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
*/
- clip?: components["schemas"]["ClipField"];
+ clip?: components["schemas"]["ClipField"] | null;
/**
* CLIP 2
* @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
*/
- clip2?: components["schemas"]["ClipField"];
+ clip2?: components["schemas"]["ClipField"] | null;
/**
- * Type
+ * type
* @default sdxl_lora_loader
- * @enum {string}
+ * @constant
*/
type: "sdxl_lora_loader";
};
@@ -7740,21 +7239,21 @@ export type components = {
* UNet
* @description UNet (scheduler, LoRAs)
*/
- unet?: components["schemas"]["UNetField"];
+ unet?: components["schemas"]["UNetField"] | null;
/**
* CLIP 1
* @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
*/
- clip?: components["schemas"]["ClipField"];
+ clip?: components["schemas"]["ClipField"] | null;
/**
* CLIP 2
* @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
*/
- clip2?: components["schemas"]["ClipField"];
+ clip2?: components["schemas"]["ClipField"] | null;
/**
- * Type
+ * type
* @default sdxl_lora_loader_output
- * @enum {string}
+ * @constant
*/
type: "sdxl_lora_loader_output";
};
@@ -7773,27 +7272,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Model
- * @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load
- */
+ use_cache?: boolean | null;
+ /** @description SDXL Main model (UNet, VAE, CLIP1, CLIP2) to load */
model: components["schemas"]["MainModelField"];
/**
- * Type
+ * type
* @default sdxl_model_loader
- * @enum {string}
+ * @constant
*/
type: "sdxl_model_loader";
};
@@ -7823,9 +7319,9 @@ export type components = {
*/
vae: components["schemas"]["VaeField"];
/**
- * Type
+ * type
* @default sdxl_model_loader_output
- * @enum {string}
+ * @constant
*/
type: "sdxl_model_loader_output";
};
@@ -7844,18 +7340,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Style
* @description Prompt to be parsed by Compel to create a conditioning tensor
@@ -7888,15 +7384,12 @@ export type components = {
* @default 6
*/
aesthetic_score?: number;
- /**
- * Clip2
- * @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count
- */
+ /** @description CLIP (tokenizer, text encoder, LoRAs) and skipped layer count */
clip2?: components["schemas"]["ClipField"];
/**
- * Type
+ * type
* @default sdxl_refiner_compel_prompt
- * @enum {string}
+ * @constant
*/
type: "sdxl_refiner_compel_prompt";
};
@@ -7915,27 +7408,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Model
- * @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load
- */
+ use_cache?: boolean | null;
+ /** @description SDXL Refiner Main Modde (UNet, VAE, CLIP2) to load */
model: components["schemas"]["MainModelField"];
/**
- * Type
+ * type
* @default sdxl_refiner_model_loader
- * @enum {string}
+ * @constant
*/
type: "sdxl_refiner_model_loader";
};
@@ -7960,9 +7450,9 @@ export type components = {
*/
vae: components["schemas"]["VaeField"];
/**
- * Type
+ * type
* @default sdxl_refiner_model_loader_output
- * @enum {string}
+ * @constant
*/
type: "sdxl_refiner_model_loader_output";
};
@@ -7981,37 +7471,28 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default false
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
+ /** @description The board to save the image to */
+ board?: components["schemas"]["BoardField"] | null;
+ /** @description Optional core metadata to be written to image */
+ metadata?: components["schemas"]["CoreMetadata"] | null;
/**
- * Board
- * @description The board to save the image to
- */
- board?: components["schemas"]["BoardField"];
- /**
- * Metadata
- * @description Optional core metadata to be written to image
- */
- metadata?: components["schemas"]["CoreMetadata"];
- /**
- * Type
+ * type
* @default save_image
- * @enum {string}
+ * @constant
*/
type: "save_image";
};
@@ -8030,22 +7511,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Latents
- * @description Latents tensor
- */
+ use_cache?: boolean | null;
+ /** @description Latents tensor */
latents?: components["schemas"]["LatentsField"];
/**
* Scale Factor
@@ -8066,9 +7544,9 @@ export type components = {
*/
antialias?: boolean;
/**
- * Type
+ * type
* @default lscale
- * @enum {string}
+ * @constant
*/
type: "lscale";
};
@@ -8087,18 +7565,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Scheduler
* @description Scheduler to use during inference
@@ -8107,18 +7585,13 @@ export type components = {
*/
scheduler?: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
/**
- * Type
+ * type
* @default scheduler
- * @enum {string}
+ * @constant
*/
type: "scheduler";
};
- /**
- * SchedulerOutput
- * @description Base class for all invocation outputs.
- *
- * All invocation outputs must use the `@invocation_output` decorator to provide their unique type.
- */
+ /** SchedulerOutput */
SchedulerOutput: {
/**
* Scheduler
@@ -8127,15 +7600,14 @@ export type components = {
*/
scheduler: "ddim" | "ddpm" | "deis" | "lms" | "lms_k" | "pndm" | "heun" | "heun_k" | "euler" | "euler_k" | "euler_a" | "kdpm_2" | "kdpm_2_a" | "dpmpp_2s" | "dpmpp_2s_k" | "dpmpp_2m" | "dpmpp_2m_k" | "dpmpp_2m_sde" | "dpmpp_2m_sde_k" | "dpmpp_sde" | "dpmpp_sde_k" | "unipc";
/**
- * Type
+ * type
* @default scheduler_output
- * @enum {string}
+ * @constant
*/
type: "scheduler_output";
};
/**
* SchedulerPredictionType
- * @description An enumeration.
* @enum {string}
*/
SchedulerPredictionType: "epsilon" | "v_prediction" | "sample";
@@ -8154,28 +7626,28 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* UNet
* @description UNet (scheduler, LoRAs)
*/
- unet?: components["schemas"]["UNetField"];
+ unet?: components["schemas"]["UNetField"] | null;
/**
* VAE
* @description VAE model to load
*/
- vae?: components["schemas"]["VaeField"];
+ vae?: components["schemas"]["VaeField"] | null;
/**
* Seamless Y
* @description Specify whether Y axis is seamless
@@ -8189,9 +7661,9 @@ export type components = {
*/
seamless_x?: boolean;
/**
- * Type
+ * type
* @default seamless
- * @enum {string}
+ * @constant
*/
type: "seamless";
};
@@ -8204,16 +7676,16 @@ export type components = {
* UNet
* @description UNet (scheduler, LoRAs)
*/
- unet?: components["schemas"]["UNetField"];
+ unet?: components["schemas"]["UNetField"] | null;
/**
* VAE
* @description VAE
*/
- vae?: components["schemas"]["VaeField"];
+ vae?: components["schemas"]["VaeField"] | null;
/**
- * Type
+ * type
* @default seamless_output
- * @enum {string}
+ * @constant
*/
type: "seamless_output";
};
@@ -8232,27 +7704,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
/**
- * Type
+ * type
* @default segment_anything_processor
- * @enum {string}
+ * @constant
*/
type: "segment_anything_processor";
};
@@ -8277,10 +7746,7 @@ export type components = {
queue: components["schemas"]["SessionQueueStatus"];
processor: components["schemas"]["SessionProcessorStatus"];
};
- /**
- * SessionQueueItem
- * @description Session queue item without the full graph. Used for serialization.
- */
+ /** SessionQueueItem */
SessionQueueItem: {
/**
* Item Id
@@ -8314,7 +7780,7 @@ export type components = {
* Error
* @description The error message if this queue item errored
*/
- error?: string;
+ error?: string | null;
/**
* Created At
* @description When this queue item was created
@@ -8329,12 +7795,12 @@ export type components = {
* Started At
* @description When this queue item was started
*/
- started_at?: string;
+ started_at?: string | null;
/**
* Completed At
* @description When this queue item was completed
*/
- completed_at?: string;
+ completed_at?: string | null;
/**
* Queue Id
* @description The id of the queue with which this item is associated
@@ -8344,17 +7810,11 @@ export type components = {
* Field Values
* @description The field values that were used for this queue item
*/
- field_values?: components["schemas"]["NodeFieldValue"][];
- /**
- * Session
- * @description The fully-populated session to be executed
- */
+ field_values?: components["schemas"]["NodeFieldValue"][] | null;
+ /** @description The fully-populated session to be executed */
session: components["schemas"]["GraphExecutionState"];
};
- /**
- * SessionQueueItemDTO
- * @description Session queue item without the full graph. Used for serialization.
- */
+ /** SessionQueueItemDTO */
SessionQueueItemDTO: {
/**
* Item Id
@@ -8388,7 +7848,7 @@ export type components = {
* Error
* @description The error message if this queue item errored
*/
- error?: string;
+ error?: string | null;
/**
* Created At
* @description When this queue item was created
@@ -8403,12 +7863,12 @@ export type components = {
* Started At
* @description When this queue item was started
*/
- started_at?: string;
+ started_at?: string | null;
/**
* Completed At
* @description When this queue item was completed
*/
- completed_at?: string;
+ completed_at?: string | null;
/**
* Queue Id
* @description The id of the queue with which this item is associated
@@ -8418,7 +7878,7 @@ export type components = {
* Field Values
* @description The field values that were used for this queue item
*/
- field_values?: components["schemas"]["NodeFieldValue"][];
+ field_values?: components["schemas"]["NodeFieldValue"][] | null;
};
/** SessionQueueStatus */
SessionQueueStatus: {
@@ -8431,17 +7891,17 @@ export type components = {
* Item Id
* @description The current queue item id
*/
- item_id?: number;
+ item_id: number | null;
/**
* Batch Id
* @description The current queue item's batch id
*/
- batch_id?: string;
+ batch_id: string | null;
/**
* Session Id
* @description The current queue item's session id
*/
- session_id?: string;
+ session_id: string | null;
/**
* Pending
* @description Number of queue items with status 'pending'
@@ -8488,27 +7948,24 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to show
- */
+ use_cache?: boolean | null;
+ /** @description The image to show */
image?: components["schemas"]["ImageField"];
/**
- * Type
+ * type
* @default show_image
- * @enum {string}
+ * @constant
*/
type: "show_image";
};
@@ -8519,21 +7976,22 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default main
+ * @constant
*/
model_type: "main";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "checkpoint";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
/** Vae */
- vae?: string;
+ vae?: string | null;
/** Config */
config: string;
variant: components["schemas"]["ModelVariantType"];
@@ -8545,21 +8003,22 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default main
+ * @constant
*/
model_type: "main";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "diffusers";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
/** Vae */
- vae?: string;
+ vae?: string | null;
variant: components["schemas"]["ModelVariantType"];
};
/** StableDiffusion2ModelCheckpointConfig */
@@ -8569,21 +8028,22 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default main
+ * @constant
*/
model_type: "main";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "checkpoint";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
/** Vae */
- vae?: string;
+ vae?: string | null;
/** Config */
config: string;
variant: components["schemas"]["ModelVariantType"];
@@ -8595,21 +8055,22 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default main
+ * @constant
*/
model_type: "main";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "diffusers";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
/** Vae */
- vae?: string;
+ vae?: string | null;
variant: components["schemas"]["ModelVariantType"];
};
/** StableDiffusionXLModelCheckpointConfig */
@@ -8619,21 +8080,22 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default main
+ * @constant
*/
model_type: "main";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "checkpoint";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
/** Vae */
- vae?: string;
+ vae?: string | null;
/** Config */
config: string;
variant: components["schemas"]["ModelVariantType"];
@@ -8645,21 +8107,22 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default main
+ * @constant
*/
model_type: "main";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "diffusers";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
/** Vae */
- vae?: string;
+ vae?: string | null;
variant: components["schemas"]["ModelVariantType"];
};
/**
@@ -8677,18 +8140,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Easing
* @description The easing function to use
@@ -8730,12 +8193,12 @@ export type components = {
* Pre Start Value
* @description value before easing start
*/
- pre_start_value?: number;
+ pre_start_value?: number | null;
/**
* Post End Value
* @description value after easing end
*/
- post_end_value?: number;
+ post_end_value?: number | null;
/**
* Mirror
* @description include mirror of easing function
@@ -8749,9 +8212,9 @@ export type components = {
*/
show_easing_plot?: boolean;
/**
- * Type
+ * type
* @default step_param_easing
- * @enum {string}
+ * @constant
*/
type: "step_param_easing";
};
@@ -8771,9 +8234,9 @@ export type components = {
*/
string_2: string;
/**
- * Type
+ * type
* @default string_2_output
- * @enum {string}
+ * @constant
*/
type: "string_2_output";
};
@@ -8792,27 +8255,27 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Collection
* @description The collection of string values
*/
collection?: string[];
/**
- * Type
+ * type
* @default string_collection
- * @enum {string}
+ * @constant
*/
type: "string_collection";
};
@@ -8827,9 +8290,9 @@ export type components = {
*/
collection: string[];
/**
- * Type
+ * type
* @default string_collection_output
- * @enum {string}
+ * @constant
*/
type: "string_collection_output";
};
@@ -8848,18 +8311,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* Value
* @description The string value
@@ -8867,9 +8330,9 @@ export type components = {
*/
value?: string;
/**
- * Type
+ * type
* @default string
- * @enum {string}
+ * @constant
*/
type: "string";
};
@@ -8888,18 +8351,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* String Left
* @description String Left
@@ -8913,9 +8376,9 @@ export type components = {
*/
string_right?: string;
/**
- * Type
+ * type
* @default string_join
- * @enum {string}
+ * @constant
*/
type: "string_join";
};
@@ -8934,18 +8397,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* String Left
* @description String Left
@@ -8965,9 +8428,9 @@ export type components = {
*/
string_right?: string;
/**
- * Type
+ * type
* @default string_join_three
- * @enum {string}
+ * @constant
*/
type: "string_join_three";
};
@@ -8982,9 +8445,9 @@ export type components = {
*/
value: string;
/**
- * Type
+ * type
* @default string_output
- * @enum {string}
+ * @constant
*/
type: "string_output";
};
@@ -9004,9 +8467,9 @@ export type components = {
*/
negative_string: string;
/**
- * Type
+ * type
* @default string_pos_neg_output
- * @enum {string}
+ * @constant
*/
type: "string_pos_neg_output";
};
@@ -9025,18 +8488,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* String
* @description String to work on
@@ -9062,9 +8525,9 @@ export type components = {
*/
use_regex?: boolean;
/**
- * Type
+ * type
* @default string_replace
- * @enum {string}
+ * @constant
*/
type: "string_replace";
};
@@ -9083,18 +8546,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* String
* @description String to split
@@ -9108,9 +8571,9 @@ export type components = {
*/
delimiter?: string;
/**
- * Type
+ * type
* @default string_split
- * @enum {string}
+ * @constant
*/
type: "string_split";
};
@@ -9129,18 +8592,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* String
* @description String to split
@@ -9148,15 +8611,14 @@ export type components = {
*/
string?: string;
/**
- * Type
+ * type
* @default string_split_neg
- * @enum {string}
+ * @constant
*/
type: "string_split_neg";
};
/**
* SubModelType
- * @description An enumeration.
* @enum {string}
*/
SubModelType: "unet" | "text_encoder" | "text_encoder_2" | "tokenizer" | "tokenizer_2" | "vae" | "vae_decoder" | "vae_encoder" | "scheduler" | "safety_checker";
@@ -9175,18 +8637,18 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* A
* @description The first number
@@ -9200,23 +8662,17 @@ export type components = {
*/
b?: number;
/**
- * Type
+ * type
* @default sub
- * @enum {string}
+ * @constant
*/
type: "sub";
};
/** T2IAdapterField */
T2IAdapterField: {
- /**
- * Image
- * @description The T2I-Adapter image prompt.
- */
+ /** @description The T2I-Adapter image prompt. */
image: components["schemas"]["ImageField"];
- /**
- * T2I Adapter Model
- * @description The T2I-Adapter model to use.
- */
+ /** @description The T2I-Adapter model to use. */
t2i_adapter_model: components["schemas"]["T2IAdapterModelField"];
/**
* Weight
@@ -9259,22 +8715,19 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The IP-Adapter image prompt.
- */
+ use_cache?: boolean | null;
+ /** @description The IP-Adapter image prompt. */
image?: components["schemas"]["ImageField"];
/**
* T2I-Adapter Model
@@ -9307,9 +8760,9 @@ export type components = {
*/
resize_mode?: "just_resize" | "crop_resize" | "fill_resize" | "just_resize_simple";
/**
- * Type
+ * type
* @default t2i_adapter
- * @enum {string}
+ * @constant
*/
type: "t2i_adapter";
};
@@ -9320,19 +8773,20 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default t2i_adapter
+ * @constant
*/
model_type: "t2i_adapter";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/**
* Model Format
- * @enum {string}
+ * @constant
*/
model_format: "diffusers";
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
};
/** T2IAdapterModelField */
T2IAdapterModelField: {
@@ -9344,12 +8798,7 @@ export type components = {
/** @description Base model */
base_model: components["schemas"]["BaseModelType"];
};
- /**
- * T2IAdapterOutput
- * @description Base class for all invocation outputs.
- *
- * All invocation outputs must use the `@invocation_output` decorator to provide their unique type.
- */
+ /** T2IAdapterOutput */
T2IAdapterOutput: {
/**
* T2I Adapter
@@ -9357,9 +8806,9 @@ export type components = {
*/
t2i_adapter: components["schemas"]["T2IAdapterField"];
/**
- * Type
+ * type
* @default t2i_adapter_output
- * @enum {string}
+ * @constant
*/
type: "t2i_adapter_output";
};
@@ -9370,16 +8819,17 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default embedding
+ * @constant
*/
model_type: "embedding";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
/** Model Format */
model_format: null;
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
};
/**
* Tile Resample Processor
@@ -9396,47 +8846,38 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
- /**
- * Type
- * @default tile_image_processor
- * @enum {string}
- */
- type: "tile_image_processor";
/**
* Down Sampling Rate
* @description Down sampling rate
* @default 1
*/
down_sampling_rate?: number;
+ /**
+ * type
+ * @default tile_image_processor
+ * @constant
+ */
+ type: "tile_image_processor";
};
/** UNetField */
UNetField: {
- /**
- * Unet
- * @description Info to load unet submodel
- */
+ /** @description Info to load unet submodel */
unet: components["schemas"]["ModelInfo"];
- /**
- * Scheduler
- * @description Info to load scheduler submodel
- */
+ /** @description Info to load scheduler submodel */
scheduler: components["schemas"]["ModelInfo"];
/**
* Loras
@@ -9477,10 +8918,7 @@ export type components = {
};
/** VaeField */
VaeField: {
- /**
- * Vae
- * @description Info to load vae submodel
- */
+ /** @description Info to load vae submodel */
vae: components["schemas"]["ModelInfo"];
/**
* Seamless Axes
@@ -9503,27 +8941,27 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
+ use_cache?: boolean | null;
/**
* VAE
* @description VAE model to load
*/
vae_model: components["schemas"]["VAEModelField"];
/**
- * Type
+ * type
* @default vae_loader
- * @enum {string}
+ * @constant
*/
type: "vae_loader";
};
@@ -9538,9 +8976,9 @@ export type components = {
*/
vae: components["schemas"]["VaeField"];
/**
- * Type
+ * type
* @default vae_loader_output
- * @enum {string}
+ * @constant
*/
type: "vae_loader_output";
};
@@ -9551,19 +8989,19 @@ export type components = {
base_model: components["schemas"]["BaseModelType"];
/**
* Model Type
- * @enum {string}
+ * @default vae
+ * @constant
*/
model_type: "vae";
/** Path */
path: string;
/** Description */
- description?: string;
+ description?: string | null;
model_format: components["schemas"]["VaeModelFormat"];
- error?: components["schemas"]["ModelError"];
+ error?: components["schemas"]["ModelError"] | null;
};
/**
* VaeModelFormat
- * @description An enumeration.
* @enum {string}
*/
VaeModelFormat: "checkpoint" | "diffusers";
@@ -9591,57 +9029,27 @@ export type components = {
* @description Whether or not this is an intermediate invocation.
* @default false
*/
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/**
* Workflow
* @description The workflow to save with the image
*/
- workflow?: string;
+ workflow?: string | null;
/**
* Use Cache
* @description Whether or not to use the cache
* @default true
*/
- use_cache?: boolean;
- /**
- * Image
- * @description The image to process
- */
+ use_cache?: boolean | null;
+ /** @description The image to process */
image?: components["schemas"]["ImageField"];
/**
- * Type
+ * type
* @default zoe_depth_image_processor
- * @enum {string}
+ * @constant
*/
type: "zoe_depth_image_processor";
};
- /**
- * UIConfigBase
- * @description Provides additional node configuration to the UI.
- * This is used internally by the @invocation decorator logic. Do not use this directly.
- */
- UIConfigBase: {
- /**
- * Tags
- * @description The node's tags
- */
- tags?: string[];
- /**
- * Title
- * @description The node's display name
- */
- title?: string;
- /**
- * Category
- * @description The node's category
- */
- category?: string;
- /**
- * Version
- * @description The node's version. Should be a valid semver string e.g. "1.0.0" or "3.8.13".
- */
- version?: string;
- };
/**
* Input
* @description The type of input a field accepts.
@@ -9651,6 +9059,42 @@ export type components = {
* @enum {string}
*/
Input: "connection" | "direct" | "any";
+ /**
+ * UIComponent
+ * @description The type of UI component to use for a field, used to override the default components, which are inferred from the field type.
+ * @enum {string}
+ */
+ UIComponent: "none" | "textarea" | "slider";
+ /**
+ * UIConfigBase
+ * @description Provides additional node configuration to the UI.
+ * This is used internally by the @invocation decorator logic. Do not use this directly.
+ */
+ UIConfigBase: {
+ /**
+ * Tags
+ * @description The node's tags
+ */
+ tags: string[] | null;
+ /**
+ * Title
+ * @description The node's display name
+ * @default null
+ */
+ title: string | null;
+ /**
+ * Category
+ * @description The node's category
+ * @default null
+ */
+ category: string | null;
+ /**
+ * Version
+ * @description The node's version. Should be a valid semver string e.g. "1.0.0" or "3.8.13".
+ * @default null
+ */
+ version: string | null;
+ };
/**
* UIType
* @description Type hints for the UI.
@@ -9658,12 +9102,6 @@ export type components = {
* @enum {string}
*/
UIType: "boolean" | "ColorField" | "ConditioningField" | "ControlField" | "float" | "ImageField" | "integer" | "LatentsField" | "string" | "BooleanCollection" | "ColorCollection" | "ConditioningCollection" | "ControlCollection" | "FloatCollection" | "ImageCollection" | "IntegerCollection" | "LatentsCollection" | "StringCollection" | "BooleanPolymorphic" | "ColorPolymorphic" | "ConditioningPolymorphic" | "ControlPolymorphic" | "FloatPolymorphic" | "ImagePolymorphic" | "IntegerPolymorphic" | "LatentsPolymorphic" | "StringPolymorphic" | "MainModelField" | "SDXLMainModelField" | "SDXLRefinerModelField" | "ONNXModelField" | "VaeModelField" | "LoRAModelField" | "ControlNetModelField" | "IPAdapterModelField" | "UNetField" | "VaeField" | "ClipField" | "Collection" | "CollectionItem" | "enum" | "Scheduler" | "WorkflowField" | "IsIntermediate" | "MetadataField" | "BoardField";
- /**
- * UIComponent
- * @description The type of UI component to use for a field, used to override the default components, which are inferred from the field type.
- * @enum {string}
- */
- UIComponent: "none" | "textarea" | "slider";
/**
* _InputField
* @description *DO NOT USE*
@@ -9675,16 +9113,16 @@ export type components = {
input: components["schemas"]["Input"];
/** Ui Hidden */
ui_hidden: boolean;
- ui_type?: components["schemas"]["UIType"];
- ui_component?: components["schemas"]["UIComponent"];
+ ui_type: components["schemas"]["UIType"] | null;
+ ui_component: components["schemas"]["UIComponent"] | null;
/** Ui Order */
- ui_order?: number;
+ ui_order: number | null;
/** Ui Choice Labels */
- ui_choice_labels?: {
+ ui_choice_labels: {
[key: string]: string;
- };
+ } | null;
/** Item Default */
- item_default?: unknown;
+ item_default: unknown;
};
/**
* _OutputField
@@ -9696,46 +9134,46 @@ export type components = {
_OutputField: {
/** Ui Hidden */
ui_hidden: boolean;
- ui_type?: components["schemas"]["UIType"];
+ ui_type: components["schemas"]["UIType"] | null;
/** Ui Order */
- ui_order?: number;
+ ui_order: number | null;
};
- /**
- * T2IAdapterModelFormat
- * @description An enumeration.
- * @enum {string}
- */
- T2IAdapterModelFormat: "diffusers";
- /**
- * ControlNetModelFormat
- * @description An enumeration.
- * @enum {string}
- */
- ControlNetModelFormat: "checkpoint" | "diffusers";
- /**
- * StableDiffusion2ModelFormat
- * @description An enumeration.
- * @enum {string}
- */
- StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
- /**
- * StableDiffusionXLModelFormat
- * @description An enumeration.
- * @enum {string}
- */
- StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
/**
* StableDiffusionOnnxModelFormat
* @description An enumeration.
* @enum {string}
*/
StableDiffusionOnnxModelFormat: "olive" | "onnx";
+ /**
+ * StableDiffusion2ModelFormat
+ * @description An enumeration.
+ * @enum {string}
+ */
+ StableDiffusion2ModelFormat: "checkpoint" | "diffusers";
+ /**
+ * StableDiffusion1ModelFormat
+ * @description An enumeration.
+ * @enum {string}
+ */
+ StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+ /**
+ * ControlNetModelFormat
+ * @description An enumeration.
+ * @enum {string}
+ */
+ ControlNetModelFormat: "checkpoint" | "diffusers";
/**
* CLIPVisionModelFormat
* @description An enumeration.
* @enum {string}
*/
CLIPVisionModelFormat: "diffusers";
+ /**
+ * StableDiffusionXLModelFormat
+ * @description An enumeration.
+ * @enum {string}
+ */
+ StableDiffusionXLModelFormat: "checkpoint" | "diffusers";
/**
* IPAdapterModelFormat
* @description An enumeration.
@@ -9743,11 +9181,11 @@ export type components = {
*/
IPAdapterModelFormat: "invokeai";
/**
- * StableDiffusion1ModelFormat
+ * T2IAdapterModelFormat
* @description An enumeration.
* @enum {string}
*/
- StableDiffusion1ModelFormat: "checkpoint" | "diffusers";
+ T2IAdapterModelFormat: "diffusers";
};
responses: never;
parameters: never;
@@ -9762,382 +9200,6 @@ export type external = Record<string, never>;
export type operations = {
- /**
- * List Sessions
- * @deprecated
- * @description Gets a list of sessions, optionally searching
- */
- list_sessions: {
- parameters: {
- query?: {
- /** @description The page of results to get */
- page?: number;
- /** @description The number of results per page */
- per_page?: number;
- /** @description The query string to search for */
- query?: string;
- };
- };
- responses: {
- /** @description Successful Response */
- 200: {
- content: {
- "application/json": components["schemas"]["PaginatedResults_GraphExecutionState_"];
- };
- };
- /** @description Validation Error */
- 422: {
- content: {
- "application/json": components["schemas"]["HTTPValidationError"];
- };
- };
- };
- };
- /**
- * Create Session
- * @deprecated
- * @description Creates a new session, optionally initializing it with an invocation graph
- */
- create_session: {
- parameters: {
- query?: {
- /** @description The id of the queue to associate the session with */
- queue_id?: string;
- };
- };
- requestBody?: {
- content: {
- "application/json": components["schemas"]["Graph"];
- };
- };
- responses: {
- /** @description Successful Response */
- 200: {
- content: {
- "application/json": components["schemas"]["GraphExecutionState"];
- };
- };
- /** @description Invalid json */
- 400: {
- content: never;
- };
- /** @description Validation Error */
- 422: {
- content: {
- "application/json": components["schemas"]["HTTPValidationError"];
- };
- };
- };
- };
- /**
- * Get Session
- * @deprecated
- * @description Gets a session
- */
- get_session: {
- parameters: {
- path: {
- /** @description The id of the session to get */
- session_id: string;
- };
- };
- responses: {
- /** @description Successful Response */
- 200: {
- content: {
- "application/json": components["schemas"]["GraphExecutionState"];
- };
- };
- /** @description Session not found */
- 404: {
- content: never;
- };
- /** @description Validation Error */
- 422: {
- content: {
- "application/json": components["schemas"]["HTTPValidationError"];
- };
- };
- };
- };
- /**
- * Add Node
- * @deprecated
- * @description Adds a node to the graph
- */
- add_node: {
- parameters: {
- path: {
- /** @description The id of the session */
- session_id: string;
- };
- };
- requestBody: {
- content: {
- "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"];
- };
- };
- responses: {
- /** @description Successful Response */
- 200: {
- content: {
- "application/json": string;
- };
- };
- /** @description Invalid node or link */
- 400: {
- content: never;
- };
- /** @description Session not found */
- 404: {
- content: never;
- };
- /** @description Validation Error */
- 422: {
- content: {
- "application/json": components["schemas"]["HTTPValidationError"];
- };
- };
- };
- };
- /**
- * Update Node
- * @deprecated
- * @description Updates a node in the graph and removes all linked edges
- */
- update_node: {
- parameters: {
- path: {
- /** @description The id of the session */
- session_id: string;
- /** @description The path to the node in the graph */
- node_path: string;
- };
- };
- requestBody: {
- content: {
- "application/json": components["schemas"]["BooleanInvocation"] | components["schemas"]["BooleanCollectionInvocation"] | components["schemas"]["IntegerInvocation"] | components["schemas"]["IntegerCollectionInvocation"] | components["schemas"]["FloatInvocation"] | components["schemas"]["FloatCollectionInvocation"] | components["schemas"]["StringInvocation"] | components["schemas"]["StringCollectionInvocation"] | components["schemas"]["ImageInvocation"] | components["schemas"]["ImageCollectionInvocation"] | components["schemas"]["LatentsInvocation"] | components["schemas"]["LatentsCollectionInvocation"] | components["schemas"]["ColorInvocation"] | components["schemas"]["ConditioningInvocation"] | components["schemas"]["ConditioningCollectionInvocation"] | components["schemas"]["ControlNetInvocation"] | components["schemas"]["ImageProcessorInvocation"] | components["schemas"]["IPAdapterInvocation"] | components["schemas"]["MainModelLoaderInvocation"] | components["schemas"]["LoraLoaderInvocation"] | components["schemas"]["SDXLLoraLoaderInvocation"] | components["schemas"]["VaeLoaderInvocation"] | components["schemas"]["SeamlessModeInvocation"] | components["schemas"]["T2IAdapterInvocation"] | components["schemas"]["MetadataAccumulatorInvocation"] | components["schemas"]["FaceOffInvocation"] | components["schemas"]["FaceMaskInvocation"] | components["schemas"]["FaceIdentifierInvocation"] | components["schemas"]["SDXLModelLoaderInvocation"] | components["schemas"]["SDXLRefinerModelLoaderInvocation"] | components["schemas"]["CompelInvocation"] | components["schemas"]["SDXLCompelPromptInvocation"] | components["schemas"]["SDXLRefinerCompelPromptInvocation"] | components["schemas"]["ClipSkipInvocation"] | components["schemas"]["SchedulerInvocation"] | components["schemas"]["CreateDenoiseMaskInvocation"] | components["schemas"]["DenoiseLatentsInvocation"] | components["schemas"]["LatentsToImageInvocation"] | components["schemas"]["ResizeLatentsInvocation"] | components["schemas"]["ScaleLatentsInvocation"] | components["schemas"]["ImageToLatentsInvocation"] | components["schemas"]["BlendLatentsInvocation"] | components["schemas"]["ONNXPromptInvocation"] | components["schemas"]["ONNXTextToLatentsInvocation"] | components["schemas"]["ONNXLatentsToImageInvocation"] | components["schemas"]["OnnxModelLoaderInvocation"] | components["schemas"]["ShowImageInvocation"] | components["schemas"]["BlankImageInvocation"] | components["schemas"]["ImageCropInvocation"] | components["schemas"]["ImagePasteInvocation"] | components["schemas"]["MaskFromAlphaInvocation"] | components["schemas"]["ImageMultiplyInvocation"] | components["schemas"]["ImageChannelInvocation"] | components["schemas"]["ImageConvertInvocation"] | components["schemas"]["ImageBlurInvocation"] | components["schemas"]["ImageResizeInvocation"] | components["schemas"]["ImageScaleInvocation"] | components["schemas"]["ImageLerpInvocation"] | components["schemas"]["ImageInverseLerpInvocation"] | components["schemas"]["ImageNSFWBlurInvocation"] | components["schemas"]["ImageWatermarkInvocation"] | components["schemas"]["MaskEdgeInvocation"] | components["schemas"]["MaskCombineInvocation"] | components["schemas"]["ColorCorrectInvocation"] | components["schemas"]["ImageHueAdjustmentInvocation"] | components["schemas"]["ImageChannelOffsetInvocation"] | components["schemas"]["ImageChannelMultiplyInvocation"] | components["schemas"]["SaveImageInvocation"] | components["schemas"]["DynamicPromptInvocation"] | components["schemas"]["PromptsFromFileInvocation"] | components["schemas"]["CvInpaintInvocation"] | components["schemas"]["FloatLinearRangeInvocation"] | components["schemas"]["StepParamEasingInvocation"] | components["schemas"]["AddInvocation"] | components["schemas"]["SubtractInvocation"] | components["schemas"]["MultiplyInvocation"] | components["schemas"]["DivideInvocation"] | components["schemas"]["RandomIntInvocation"] | components["schemas"]["RandomFloatInvocation"] | components["schemas"]["FloatToIntegerInvocation"] | components["schemas"]["RoundInvocation"] | components["schemas"]["IntegerMathInvocation"] | components["schemas"]["FloatMathInvocation"] | components["schemas"]["NoiseInvocation"] | components["schemas"]["RangeInvocation"] | components["schemas"]["RangeOfSizeInvocation"] | components["schemas"]["RandomRangeInvocation"] | components["schemas"]["ESRGANInvocation"] | components["schemas"]["StringSplitNegInvocation"] | components["schemas"]["StringSplitInvocation"] | components["schemas"]["StringJoinInvocation"] | components["schemas"]["StringJoinThreeInvocation"] | components["schemas"]["StringReplaceInvocation"] | components["schemas"]["InfillColorInvocation"] | components["schemas"]["InfillTileInvocation"] | components["schemas"]["InfillPatchMatchInvocation"] | components["schemas"]["LaMaInfillInvocation"] | components["schemas"]["CV2InfillInvocation"] | components["schemas"]["GraphInvocation"] | components["schemas"]["IterateInvocation"] | components["schemas"]["CollectInvocation"] | components["schemas"]["CannyImageProcessorInvocation"] | components["schemas"]["HedImageProcessorInvocation"] | components["schemas"]["LineartImageProcessorInvocation"] | components["schemas"]["LineartAnimeImageProcessorInvocation"] | components["schemas"]["OpenposeImageProcessorInvocation"] | components["schemas"]["MidasDepthImageProcessorInvocation"] | components["schemas"]["NormalbaeImageProcessorInvocation"] | components["schemas"]["MlsdImageProcessorInvocation"] | components["schemas"]["PidiImageProcessorInvocation"] | components["schemas"]["ContentShuffleImageProcessorInvocation"] | components["schemas"]["ZoeDepthImageProcessorInvocation"] | components["schemas"]["MediapipeFaceProcessorInvocation"] | components["schemas"]["LeresImageProcessorInvocation"] | components["schemas"]["TileResamplerProcessorInvocation"] | components["schemas"]["SegmentAnythingProcessorInvocation"] | components["schemas"]["ColorMapImageProcessorInvocation"];
- };
- };
- responses: {
- /** @description Successful Response */
- 200: {
- content: {
- "application/json": components["schemas"]["GraphExecutionState"];
- };
- };
- /** @description Invalid node or link */
- 400: {
- content: never;
- };
- /** @description Session not found */
- 404: {
- content: never;
- };
- /** @description Validation Error */
- 422: {
- content: {
- "application/json": components["schemas"]["HTTPValidationError"];
- };
- };
- };
- };
- /**
- * Delete Node
- * @deprecated
- * @description Deletes a node in the graph and removes all linked edges
- */
- delete_node: {
- parameters: {
- path: {
- /** @description The id of the session */
- session_id: string;
- /** @description The path to the node to delete */
- node_path: string;
- };
- };
- responses: {
- /** @description Successful Response */
- 200: {
- content: {
- "application/json": components["schemas"]["GraphExecutionState"];
- };
- };
- /** @description Invalid node or link */
- 400: {
- content: never;
- };
- /** @description Session not found */
- 404: {
- content: never;
- };
- /** @description Validation Error */
- 422: {
- content: {
- "application/json": components["schemas"]["HTTPValidationError"];
- };
- };
- };
- };
- /**
- * Add Edge
- * @deprecated
- * @description Adds an edge to the graph
- */
- add_edge: {
- parameters: {
- path: {
- /** @description The id of the session */
- session_id: string;
- };
- };
- requestBody: {
- content: {
- "application/json": components["schemas"]["Edge"];
- };
- };
- responses: {
- /** @description Successful Response */
- 200: {
- content: {
- "application/json": components["schemas"]["GraphExecutionState"];
- };
- };
- /** @description Invalid node or link */
- 400: {
- content: never;
- };
- /** @description Session not found */
- 404: {
- content: never;
- };
- /** @description Validation Error */
- 422: {
- content: {
- "application/json": components["schemas"]["HTTPValidationError"];
- };
- };
- };
- };
- /**
- * Delete Edge
- * @deprecated
- * @description Deletes an edge from the graph
- */
- delete_edge: {
- parameters: {
- path: {
- /** @description The id of the session */
- session_id: string;
- /** @description The id of the node the edge is coming from */
- from_node_id: string;
- /** @description The field of the node the edge is coming from */
- from_field: string;
- /** @description The id of the node the edge is going to */
- to_node_id: string;
- /** @description The field of the node the edge is going to */
- to_field: string;
- };
- };
- responses: {
- /** @description Successful Response */
- 200: {
- content: {
- "application/json": components["schemas"]["GraphExecutionState"];
- };
- };
- /** @description Invalid node or link */
- 400: {
- content: never;
- };
- /** @description Session not found */
- 404: {
- content: never;
- };
- /** @description Validation Error */
- 422: {
- content: {
- "application/json": components["schemas"]["HTTPValidationError"];
- };
- };
- };
- };
- /**
- * Invoke Session
- * @deprecated
- * @description Invokes a session
- */
- invoke_session: {
- parameters: {
- query: {
- /** @description The id of the queue to associate the session with */
- queue_id: string;
- /** @description Whether or not to invoke all remaining invocations */
- all?: boolean;
- };
- path: {
- /** @description The id of the session to invoke */
- session_id: string;
- };
- };
- responses: {
- /** @description Successful Response */
- 200: {
- content: {
- "application/json": unknown;
- };
- };
- /** @description The invocation is queued */
- 202: {
- content: never;
- };
- /** @description The session has no invocations ready to invoke */
- 400: {
- content: never;
- };
- /** @description Session not found */
- 404: {
- content: never;
- };
- /** @description Validation Error */
- 422: {
- content: {
- "application/json": components["schemas"]["HTTPValidationError"];
- };
- };
- };
- };
- /**
- * Cancel Session Invoke
- * @deprecated
- * @description Invokes a session
- */
- cancel_session_invoke: {
- parameters: {
- path: {
- /** @description The id of the session to cancel */
- session_id: string;
- };
- };
- responses: {
- /** @description Successful Response */
- 200: {
- content: {
- "application/json": unknown;
- };
- };
- /** @description The invocation is canceled */
- 202: {
- content: never;
- };
- /** @description Validation Error */
- 422: {
- content: {
- "application/json": components["schemas"]["HTTPValidationError"];
- };
- };
- };
- };
/**
* Parse Dynamicprompts
* @description Creates a batch process
@@ -10171,9 +9233,9 @@ export type operations = {
parameters: {
query?: {
/** @description Base models to include */
- base_models?: components["schemas"]["BaseModelType"][];
+ base_models?: components["schemas"]["BaseModelType"][] | null;
/** @description The type of model to get */
- model_type?: components["schemas"]["ModelType"];
+ model_type?: components["schemas"]["ModelType"] | null;
};
};
responses: {
@@ -10356,7 +9418,7 @@ export type operations = {
parameters: {
query?: {
/** @description Save the converted model to the designated directory */
- convert_dest_directory?: string;
+ convert_dest_directory?: string | null;
};
path: {
/** @description Base model */
@@ -10497,11 +9559,11 @@ export type operations = {
/** @description Whether this is an intermediate image */
is_intermediate: boolean;
/** @description The board to add this image to, if any */
- board_id?: string;
+ board_id?: string | null;
/** @description The session ID associated with this upload, if any */
- session_id?: string;
+ session_id?: string | null;
/** @description Whether to crop the image */
- crop_visible?: boolean;
+ crop_visible?: boolean | null;
};
};
requestBody: {
@@ -10620,7 +9682,7 @@ export type operations = {
/** @description Successful Response */
200: {
content: {
- "application/json": unknown;
+ "application/json": number;
};
};
};
@@ -10745,13 +9807,13 @@ export type operations = {
parameters: {
query?: {
/** @description The origin of images to list. */
- image_origin?: components["schemas"]["ResourceOrigin"];
+ image_origin?: components["schemas"]["ResourceOrigin"] | null;
/** @description The categories of image to include. */
- categories?: components["schemas"]["ImageCategory"][];
+ categories?: components["schemas"]["ImageCategory"][] | null;
/** @description Whether to list intermediate images. */
- is_intermediate?: boolean;
+ is_intermediate?: boolean | null;
/** @description The board id to filter by. Use 'none' to find images without a board. */
- board_id?: string;
+ board_id?: string | null;
/** @description The page offset */
offset?: number;
/** @description The number of images per page */
@@ -10839,6 +9901,28 @@ export type operations = {
};
};
};
+ /** Download Images From List */
+ download_images_from_list: {
+ requestBody: {
+ content: {
+ "application/json": components["schemas"]["Body_download_images_from_list"];
+ };
+ };
+ responses: {
+ /** @description Successful Response */
+ 200: {
+ content: {
+ "application/json": components["schemas"]["ImagesDownloaded"];
+ };
+ };
+ /** @description Validation Error */
+ 422: {
+ content: {
+ "application/json": components["schemas"]["HTTPValidationError"];
+ };
+ };
+ };
+ };
/**
* List Boards
* @description Gets a list of boards
@@ -10847,11 +9931,11 @@ export type operations = {
parameters: {
query?: {
/** @description Whether to list all boards */
- all?: boolean;
+ all?: boolean | null;
/** @description The page offset */
- offset?: number;
+ offset?: number | null;
/** @description The number of boards per page */
- limit?: number;
+ limit?: number | null;
};
};
responses: {
@@ -10929,7 +10013,7 @@ export type operations = {
parameters: {
query?: {
/** @description Permanently delete all images on the board */
- include_images?: boolean;
+ include_images?: boolean | null;
};
path: {
/** @description The id of board to delete */
@@ -11245,7 +10329,7 @@ export type operations = {
/** @description Successful Response */
200: {
content: {
- "application/json": unknown;
+ "application/json": components["schemas"]["EnqueueGraphResult"];
};
};
/** @description Created */
@@ -11282,7 +10366,7 @@ export type operations = {
/** @description Successful Response */
200: {
content: {
- "application/json": unknown;
+ "application/json": components["schemas"]["EnqueueBatchResult"];
};
};
/** @description Created */
@@ -11309,9 +10393,9 @@ export type operations = {
/** @description The number of items to fetch */
limit?: number;
/** @description The status of items to fetch */
- status?: "pending" | "in_progress" | "completed" | "failed" | "canceled";
+ status?: ("pending" | "in_progress" | "completed" | "failed" | "canceled") | null;
/** @description The pagination cursor */
- cursor?: number;
+ cursor?: number | null;
/** @description The pagination cursor priority */
priority?: number;
};
@@ -11485,7 +10569,7 @@ export type operations = {
/** @description Successful Response */
200: {
content: {
- "application/json": components["schemas"]["SessionQueueItem"];
+ "application/json": components["schemas"]["SessionQueueItem"] | null;
};
};
/** @description Validation Error */
@@ -11511,7 +10595,7 @@ export type operations = {
/** @description Successful Response */
200: {
content: {
- "application/json": components["schemas"]["SessionQueueItem"];
+ "application/json": components["schemas"]["SessionQueueItem"] | null;
};
};
/** @description Validation Error */
diff --git a/invokeai/frontend/web/src/services/api/types.ts b/invokeai/frontend/web/src/services/api/types.ts
index da56d2782f..6fda849b89 100644
--- a/invokeai/frontend/web/src/services/api/types.ts
+++ b/invokeai/frontend/web/src/services/api/types.ts
@@ -137,6 +137,7 @@ export type CompelInvocation = s['CompelInvocation'];
export type DynamicPromptInvocation = s['DynamicPromptInvocation'];
export type NoiseInvocation = s['NoiseInvocation'];
export type DenoiseLatentsInvocation = s['DenoiseLatentsInvocation'];
+export type ResizeLatentsInvocation = s['ResizeLatentsInvocation'];
export type ONNXTextToLatentsInvocation = s['ONNXTextToLatentsInvocation'];
export type SDXLLoraLoaderInvocation = s['SDXLLoraLoaderInvocation'];
export type ImageToLatentsInvocation = s['ImageToLatentsInvocation'];
diff --git a/invokeai/frontend/web/src/theme/components/text.ts b/invokeai/frontend/web/src/theme/components/text.ts
index cccbcf2391..2681fb1d67 100644
--- a/invokeai/frontend/web/src/theme/components/text.ts
+++ b/invokeai/frontend/web/src/theme/components/text.ts
@@ -1,6 +1,10 @@
import { defineStyle, defineStyleConfig } from '@chakra-ui/react';
import { mode } from '@chakra-ui/theme-tools';
+const error = defineStyle((props) => ({
+ color: mode('error.500', 'error.400')(props),
+}));
+
const subtext = defineStyle((props) => ({
color: mode('base.500', 'base.400')(props),
}));
@@ -8,5 +12,6 @@ const subtext = defineStyle((props) => ({
export const textTheme = defineStyleConfig({
variants: {
subtext,
+ error,
},
});
diff --git a/invokeai/frontend/web/yarn.lock b/invokeai/frontend/web/yarn.lock
index 2a531175d4..cc257115da 100644
--- a/invokeai/frontend/web/yarn.lock
+++ b/invokeai/frontend/web/yarn.lock
@@ -50,13 +50,20 @@
resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.22.10.tgz#e37634f9a12a1716136c44624ef54283cabd3f55"
integrity sha512-lNbdGsQb9ekfsnjFGhEiF4hfFqGgfOP3H3d27re3n+CGhNuTSUEQdfWk556sTLNTloczcdM5TYF2LhzmDQKyvQ==
-"@babel/runtime@^7.0.0", "@babel/runtime@^7.1.2", "@babel/runtime@^7.10.2", "@babel/runtime@^7.12.1", "@babel/runtime@^7.12.13", "@babel/runtime@^7.12.5", "@babel/runtime@^7.13.10", "@babel/runtime@^7.18.3", "@babel/runtime@^7.19.4", "@babel/runtime@^7.21.0", "@babel/runtime@^7.22.5", "@babel/runtime@^7.9.2":
+"@babel/runtime@^7.0.0", "@babel/runtime@^7.1.2", "@babel/runtime@^7.12.1", "@babel/runtime@^7.12.13", "@babel/runtime@^7.12.5", "@babel/runtime@^7.18.3", "@babel/runtime@^7.19.4", "@babel/runtime@^7.21.0", "@babel/runtime@^7.22.5", "@babel/runtime@^7.9.2":
version "7.22.6"
resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.22.6.tgz#57d64b9ae3cff1d67eb067ae117dac087f5bd438"
integrity sha512-wDb5pWm4WDdF6LFUde3Jl8WzPA+3ZbxYqkC6xAXuD3irdEHN1k0NfTRrJD8ZD378SJ61miMLCqIOXYhd8x+AJQ==
dependencies:
regenerator-runtime "^0.13.11"
+"@babel/runtime@^7.10.2", "@babel/runtime@^7.13.10":
+ version "7.23.2"
+ resolved "https://registry.yarnpkg.com/@babel/runtime/-/runtime-7.23.2.tgz#062b0ac103261d68a966c4c7baf2ae3e62ec3885"
+ integrity sha512-mM8eg4yl5D6i3lu2QKPuPH4FArvJ8KhTofbE7jwMUv9KX5mBvwPAqnV3MlyBNqdp9RyRKP6Yck8TrfYrPvX3bg==
+ dependencies:
+ regenerator-runtime "^0.14.0"
+
"@babel/types@^7.22.5", "@babel/types@^7.4":
version "7.22.5"
resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.22.5.tgz#cd93eeaab025880a3a47ec881f4b096a5b786fbe"
@@ -66,33 +73,33 @@
"@babel/helper-validator-identifier" "^7.22.5"
to-fast-properties "^2.0.0"
-"@chakra-ui/accordion@2.3.0":
- version "2.3.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/accordion/-/accordion-2.3.0.tgz#2c85fd2d2734b176f019f8db9f4e075007b4e1fb"
- integrity sha512-A4TkRw3Jnt+Fam6dSSJ62rskdrvjF3JGctYcfXlojfFIpHPuIw4pDwfZgNAxlaxWkcj0e7JJKlQ88dnZW+QfFg==
+"@chakra-ui/accordion@2.3.1":
+ version "2.3.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/accordion/-/accordion-2.3.1.tgz#a326509e286a5c4e8478de9bc2b4b05017039e6b"
+ integrity sha512-FSXRm8iClFyU+gVaXisOSEw0/4Q+qZbFRiuhIAkVU6Boj0FxAMrlo9a8AV5TuF77rgaHytCdHk0Ng+cyUijrag==
dependencies:
"@chakra-ui/descendant" "3.1.0"
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/react-use-controllable-state" "2.1.0"
"@chakra-ui/react-use-merge-refs" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
"@chakra-ui/transition" "2.1.0"
-"@chakra-ui/alert@2.2.0":
- version "2.2.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/alert/-/alert-2.2.0.tgz#b59eadca4f083674dfcd43651b6c47b953c2c984"
- integrity sha512-De+BT88iYOu3Con7MxQeICb1SwgAdVdgpHIYjTh3qvGlNXAQjs81rhG0fONXvwW1FIYletvr9DY2Tlg8xJe7tQ==
+"@chakra-ui/alert@2.2.1":
+ version "2.2.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/alert/-/alert-2.2.1.tgz#69f4fae19e4f8204ae1db906784139d416063d04"
+ integrity sha512-GduIqqWCkvID8hxRlKw29Jp3w93r/E9S30J2F8By3ODon9Bhk1o/KVolcPiSiQvRwKNBJCd/rBTpPpLkB+s7pw==
dependencies:
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
"@chakra-ui/spinner" "2.1.0"
-"@chakra-ui/anatomy@2.2.0", "@chakra-ui/anatomy@^2.2.0":
- version "2.2.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/anatomy/-/anatomy-2.2.0.tgz#788229829f853dcd03314cd7ddd4f19f056ec24e"
- integrity sha512-cD8Ms5C8+dFda0LrORMdxiFhAZwOIY1BSlCadz6/mHUIgNdQy13AHPrXiq6qWdMslqVHq10k5zH7xMPLt6kjFg==
+"@chakra-ui/anatomy@2.2.1", "@chakra-ui/anatomy@^2.2.1":
+ version "2.2.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/anatomy/-/anatomy-2.2.1.tgz#f7ef088dcb8be4f1d075f37101830199fb93f763"
+ integrity sha512-bbmyWTGwQo+aHYDMtLIj7k7hcWvwE7GFVDViLFArrrPhfUTDdQTNqhiDp1N7eh2HLyjNhc2MKXV8s2KTQqkmTg==
"@chakra-ui/avatar@2.3.0":
version "2.3.0"
@@ -137,12 +144,12 @@
dependencies:
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/checkbox@2.3.0":
- version "2.3.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/checkbox/-/checkbox-2.3.0.tgz#6a103555100008fcde0b25a4f3f87267dd6ea073"
- integrity sha512-fX7M5sQK27aFWoj7vqnPkf1Q3AHmML/5dIRYfm7HEIsZXYH2C1CkM6+dijeSWIk6a0mp0r3el6SNDUti2ehH8g==
+"@chakra-ui/checkbox@2.3.1":
+ version "2.3.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/checkbox/-/checkbox-2.3.1.tgz#bde33a655a8f033656378e3e95ae0dc4c8e73864"
+ integrity sha512-e6qL9ntVI/Ui6g0+iljUV2chX86YMsXafldpTHBNYDEoNLjGo1lqLFzq3y6zs3iuB3DHI0X7eAG3REmMVs0A0w==
dependencies:
- "@chakra-ui/form-control" "2.1.0"
+ "@chakra-ui/form-control" "2.1.1"
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/react-types" "2.0.7"
"@chakra-ui/react-use-callback-ref" "2.1.0"
@@ -151,8 +158,8 @@
"@chakra-ui/react-use-safe-layout-effect" "2.1.0"
"@chakra-ui/react-use-update-effect" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
- "@chakra-ui/visually-hidden" "2.1.0"
- "@zag-js/focus-visible" "0.10.5"
+ "@chakra-ui/visually-hidden" "2.2.0"
+ "@zag-js/focus-visible" "0.16.0"
"@chakra-ui/cli@^2.4.1":
version "2.4.1"
@@ -175,12 +182,12 @@
"@chakra-ui/react-use-merge-refs" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/close-button@2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/close-button/-/close-button-2.1.0.tgz#5af435a62919793dc713be321eaff1f61749b6d5"
- integrity sha512-KfJcz6UAaR2dDWSIv6UrCGkZQS54Fjl+DEEVOUTJ7gf4KOP4FQZCkv8hqsAB9FeCtnwU43adq2oaw3aZH/Uzew==
+"@chakra-ui/close-button@2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/close-button/-/close-button-2.1.1.tgz#995b245c56eb41465a71d8667840c238618a7b66"
+ integrity sha512-gnpENKOanKexswSVpVz7ojZEALl2x5qjLYNqSQGbxz+aP9sOXPfUS56ebyBrre7T7exuWGiFeRwnM0oVeGPaiw==
dependencies:
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/color-mode@2.2.0":
version "2.2.0"
@@ -203,10 +210,10 @@
"@chakra-ui/react-use-callback-ref" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/css-reset@2.2.0":
- version "2.2.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/css-reset/-/css-reset-2.2.0.tgz#7bd8da563941709cd68e2d1cf1e71279bec038ea"
- integrity sha512-nn7hjquIrPwCzwI4d/Y4wzM5A5xAeswREOfT8gT0Yd+U+Qnw3pPT8NPLbNJ3DvuOfJaCV6/N5ld/6RRTgYF/sQ==
+"@chakra-ui/css-reset@2.3.0":
+ version "2.3.0"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/css-reset/-/css-reset-2.3.0.tgz#83e3160a9c2a12431cad0ee27ebfbf3aedc5c9c7"
+ integrity sha512-cQwwBy5O0jzvl0K7PLTLgp8ijqLPKyuEMiDXwYzl95seD3AoeuoCLyzZcJtVqaUZ573PiBdAbY/IlZcwDOItWg==
"@chakra-ui/descendant@3.1.0":
version "3.1.0"
@@ -249,40 +256,40 @@
"@chakra-ui/dom-utils" "2.1.0"
react-focus-lock "^2.9.4"
-"@chakra-ui/form-control@2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/form-control/-/form-control-2.1.0.tgz#a48ad454428c03daaaf71671925becd02a2c3f66"
- integrity sha512-3QmWG9v6Rx+JOwJP3Wt89+AWZxK0F1NkVAgXP3WVfE9VDXOKFRV/faLT0GEe2V+l7WZHF5PLdEBvKG8Cgw2mkA==
+"@chakra-ui/form-control@2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/form-control/-/form-control-2.1.1.tgz#05b06a52432642ddc7ed795bfe127108d160927d"
+ integrity sha512-LJPDzA1ITc3lhd/iDiINqGeca5bJD09PZAjePGEmmZyLPZZi8nPh/iii0RMxvKyJArsTBwXymCh+dEqK9aDzGQ==
dependencies:
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/react-types" "2.0.7"
"@chakra-ui/react-use-merge-refs" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/hooks@2.2.0":
- version "2.2.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/hooks/-/hooks-2.2.0.tgz#f779bf85542dacd607abe7e67f4571cf8a1102fa"
- integrity sha512-GZE64mcr20w+3KbCUPqQJHHmiFnX5Rcp8jS3YntGA4D5X2qU85jka7QkjfBwv/iduZ5Ei0YpCMYGCpi91dhD1Q==
+"@chakra-ui/hooks@2.2.1":
+ version "2.2.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/hooks/-/hooks-2.2.1.tgz#b86ce5eeaaab877ddcb11a50842d1227306ace28"
+ integrity sha512-RQbTnzl6b1tBjbDPf9zGRo9rf/pQMholsOudTxjy4i9GfTfz6kgp5ValGjQm2z7ng6Z31N1cnjZ1AlSzQ//ZfQ==
dependencies:
"@chakra-ui/react-utils" "2.0.12"
"@chakra-ui/utils" "2.0.15"
- compute-scroll-into-view "1.0.20"
+ compute-scroll-into-view "3.0.3"
copy-to-clipboard "3.3.3"
-"@chakra-ui/icon@3.1.0":
- version "3.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/icon/-/icon-3.1.0.tgz#48312c071b3a0ed20ce807c8bd24d5f3e9cfdb7f"
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+"@chakra-ui/icon@3.2.0":
+ version "3.2.0"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/icon/-/icon-3.2.0.tgz#92b9454aa0d561b4994bcd6a1b3bb1fdd5c67bef"
+ integrity sha512-xxjGLvlX2Ys4H0iHrI16t74rG9EBcpFvJ3Y3B7KMQTrnW34Kf7Da/UC8J67Gtx85mTHW020ml85SVPKORWNNKQ==
dependencies:
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/icons@^2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/icons/-/icons-2.1.0.tgz#52677939e02f9d6b902bd2c2931e5f18d3c8b523"
- integrity sha512-pGFxFfQ/P5VnSRnTzK8zGAJxoxkxpHo/Br9ohRZdOpuhnIHSW7va0P53UoycEO5/vNJ/7BN0oDY0k9qurChcew==
+"@chakra-ui/icons@^2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/icons/-/icons-2.1.1.tgz#58ff0f9e703f2f4f89debd600ce4e438f43f9c9a"
+ integrity sha512-3p30hdo4LlRZTT5CwoAJq3G9fHI0wDc0pBaMHj4SUn0yomO+RcDRlzhdXqdr5cVnzax44sqXJVnf3oQG0eI+4g==
dependencies:
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/image@2.1.0":
version "2.1.0"
@@ -292,24 +299,24 @@
"@chakra-ui/react-use-safe-layout-effect" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/input@2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/input/-/input-2.1.0.tgz#45a2e2ccdd65dc9f6dee11b6e3043438864bf806"
- integrity sha512-HItI2vq6vupCuixdzof4sIanGdLlszhDtlR5be5z8Nrda1RkXVqI+9CTJPbNsx2nIKEfwPt01pnT9mozoOSMMw==
+"@chakra-ui/input@2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/input/-/input-2.1.1.tgz#c9666bd1efd7763458bec713fb87cc3f365ec15d"
+ integrity sha512-RQYzQ/qcak3eCuCfvSqc1kEFx0sCcnIeiSi7i0r70CeBnAUK/CP1/4Uz849FpKz81K4z2SikC9MkHPQd8ZpOwg==
dependencies:
- "@chakra-ui/form-control" "2.1.0"
+ "@chakra-ui/form-control" "2.1.1"
"@chakra-ui/object-utils" "2.1.0"
"@chakra-ui/react-children-utils" "2.0.6"
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/layout@2.3.0":
- version "2.3.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/layout/-/layout-2.3.0.tgz#c53219235db737202006b8b0881b82fedcf3b225"
- integrity sha512-tp1/Bn+cHn0Q4HWKY62HtOwzhpH1GUA3i5fvs23HEhOEryTps05hyuQVeJ71fLqSs6f1QEIdm+9It+5WCj64vQ==
+"@chakra-ui/layout@2.3.1":
+ version "2.3.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/layout/-/layout-2.3.1.tgz#0601c5eb91555d24a7015a7c9d4e01fed2698557"
+ integrity sha512-nXuZ6WRbq0WdgnRgLw+QuxWAHuhDtVX8ElWqcTK+cSMFg/52eVP47czYBE5F35YhnoW2XBwfNoNgZ7+e8Z01Rg==
dependencies:
"@chakra-ui/breakpoint-utils" "2.0.8"
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/object-utils" "2.1.0"
"@chakra-ui/react-children-utils" "2.0.6"
"@chakra-ui/react-context" "2.1.0"
@@ -334,10 +341,10 @@
"@chakra-ui/react-env" "3.1.0"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/menu@2.2.0":
- version "2.2.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/menu/-/menu-2.2.0.tgz#ba74b538a3fa3dc46313368ed2878f92b479e6d7"
- integrity sha512-l7HQjriW4JGeCyxDdguAzekwwB+kHGDLxACi0DJNp37sil51SRaN1S1OrneISbOHVpHuQB+KVNgU0rqhoglVew==
+"@chakra-ui/menu@2.2.1":
+ version "2.2.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/menu/-/menu-2.2.1.tgz#7d9810d435f6b40fa72ed867a33b88a1ef75073f"
+ integrity sha512-lJS7XEObzJxsOwWQh7yfG4H8FzFPRP5hVPN/CL+JzytEINCSBvsCDHrYPQGp7jzpCi8vnTqQQGQe0f8dwnXd2g==
dependencies:
"@chakra-ui/clickable" "2.1.0"
"@chakra-ui/descendant" "3.1.0"
@@ -355,12 +362,12 @@
"@chakra-ui/shared-utils" "2.0.5"
"@chakra-ui/transition" "2.1.0"
-"@chakra-ui/modal@2.3.0":
- version "2.3.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/modal/-/modal-2.3.0.tgz#f7c35bb457c3c4be391c9366f892a5a779af810a"
- integrity sha512-S1sITrIeLSf21LJ0Vz8xZhj5fWEud5z5Dl2dmvOEv1ezypgOrCCBdOEnnqCkoEKZDbKvzZWZXWR5791ikLP6+g==
+"@chakra-ui/modal@2.3.1":
+ version "2.3.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/modal/-/modal-2.3.1.tgz#524dc32b6b4f545b54ae531dbf6c74e1052ee794"
+ integrity sha512-TQv1ZaiJMZN+rR9DK0snx/OPwmtaGH1HbZtlYt4W4s6CzyK541fxLRTjIXfEzIGpvNW+b6VFuFjbcR78p4DEoQ==
dependencies:
- "@chakra-ui/close-button" "2.1.0"
+ "@chakra-ui/close-button" "2.1.1"
"@chakra-ui/focus-lock" "2.1.0"
"@chakra-ui/portal" "2.1.0"
"@chakra-ui/react-context" "2.1.0"
@@ -368,17 +375,17 @@
"@chakra-ui/react-use-merge-refs" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
"@chakra-ui/transition" "2.1.0"
- aria-hidden "^1.2.2"
- react-remove-scroll "^2.5.5"
+ aria-hidden "^1.2.3"
+ react-remove-scroll "^2.5.6"
-"@chakra-ui/number-input@2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/number-input/-/number-input-2.1.0.tgz#7812a6602edbed26829a8f7defe8c4f9f175421a"
- integrity sha512-/gEAzQHhrMA+1rzyCMaN8OkKtUPuER6iA+nloYEYBoT7dH/EoNlRtBkiIQhDp+E4VpgZJ0SK3OVrm9/eBbtHHg==
+"@chakra-ui/number-input@2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/number-input/-/number-input-2.1.1.tgz#5308a30e972cd45a017f613996d7d5c1f32bd89f"
+ integrity sha512-B4xwUPyr0NmjGN/dBhOmCD2xjX6OY1pr9GmGH3GQRozMsLAClD3TibwiZetwlyCp02qQqiFwEcZmUxaX88794Q==
dependencies:
"@chakra-ui/counter" "2.1.0"
- "@chakra-ui/form-control" "2.1.0"
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/form-control" "2.1.1"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/react-types" "2.0.7"
"@chakra-ui/react-use-callback-ref" "2.1.0"
@@ -411,12 +418,12 @@
"@chakra-ui/react-use-merge-refs" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/popover@2.2.0":
- version "2.2.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/popover/-/popover-2.2.0.tgz#470c4814447010a1b7db6839fcc3e8983cbabb60"
- integrity sha512-cTqXdgkU0vgK82AR1nWcC2MJYhEL/y6uTeprvO2+j4o2D0yPrzVMuIZZRl0abrQwiravQyVGEMgA5y0ZLYwbiQ==
+"@chakra-ui/popover@2.2.1":
+ version "2.2.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/popover/-/popover-2.2.1.tgz#89cfd29817abcd204da570073c0f2b4d8072c3a3"
+ integrity sha512-K+2ai2dD0ljvJnlrzesCDT9mNzLifE3noGKZ3QwLqd/K34Ym1W/0aL1ERSynrcG78NKoXS54SdEzkhCZ4Gn/Zg==
dependencies:
- "@chakra-ui/close-button" "2.1.0"
+ "@chakra-ui/close-button" "2.1.1"
"@chakra-ui/lazy-utils" "2.0.5"
"@chakra-ui/popper" "3.1.0"
"@chakra-ui/react-context" "2.1.0"
@@ -452,28 +459,28 @@
dependencies:
"@chakra-ui/react-context" "2.1.0"
-"@chakra-ui/provider@2.4.0":
- version "2.4.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/provider/-/provider-2.4.0.tgz#1649e607b7dddd8dd160e624946769a29f67d9a3"
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+"@chakra-ui/provider@2.4.1":
+ version "2.4.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/provider/-/provider-2.4.1.tgz#0c6c1bab2b50fdf9dfbcbb363df8982988c54d65"
+ integrity sha512-u4g02V9tJ9vVYfkLz5jBn/bKlAyjLdg4Sh3f7uckmYVAZpOL/uUlrStyADrynu3tZhI+BE8XdmXC4zs/SYD7ow==
dependencies:
- "@chakra-ui/css-reset" "2.2.0"
+ "@chakra-ui/css-reset" "2.3.0"
"@chakra-ui/portal" "2.1.0"
"@chakra-ui/react-env" "3.1.0"
- "@chakra-ui/system" "2.6.0"
+ "@chakra-ui/system" "2.6.1"
"@chakra-ui/utils" "2.0.15"
-"@chakra-ui/radio@2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/radio/-/radio-2.1.0.tgz#68b2cb4193570369568052cb1254163224a1479c"
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+"@chakra-ui/radio@2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/radio/-/radio-2.1.1.tgz#399983ce8a1bbc81e7cddfbaf091f54a1645fb7e"
+ integrity sha512-5JXDVvMWsF/Cprh6BKfcTLbLtRcgD6Wl2zwbNU30nmKIE8+WUfqD7JQETV08oWEzhi3Ea4e5EHvyll2sGx8H3w==
dependencies:
- "@chakra-ui/form-control" "2.1.0"
+ "@chakra-ui/form-control" "2.1.1"
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/react-types" "2.0.7"
"@chakra-ui/react-use-merge-refs" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
- "@zag-js/focus-visible" "0.10.5"
+ "@zag-js/focus-visible" "0.16.0"
"@chakra-ui/react-children-utils@2.0.6":
version "2.0.6"
@@ -617,71 +624,71 @@
dependencies:
"@chakra-ui/utils" "2.0.15"
-"@chakra-ui/react@^2.8.0":
- version "2.8.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/react/-/react-2.8.0.tgz#cc76a2448f9bc85f1645a1afb90d5756a5313ac3"
- integrity sha512-tV82DaqE4fMbLIWq58BYh4Ol3gAlNEn+qYOzx8bPrZudboEDnboq8aVfSBwWOY++MLWz2Nn7CkT69YRm91e5sg==
+"@chakra-ui/react@^2.8.1":
+ version "2.8.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/react/-/react-2.8.1.tgz#fd80632b0ef34434443d8999d03d297f130aabcf"
+ integrity sha512-UL9Rtj4DovP3+oVbI06gsdfyJJb+wmS2RYnGNXjW9tsjCyXxjlBw9TAUj0jyOfWe0+zd/4juL8+J+QCwmdhptg==
dependencies:
- "@chakra-ui/accordion" "2.3.0"
- "@chakra-ui/alert" "2.2.0"
+ "@chakra-ui/accordion" "2.3.1"
+ "@chakra-ui/alert" "2.2.1"
"@chakra-ui/avatar" "2.3.0"
"@chakra-ui/breadcrumb" "2.2.0"
"@chakra-ui/button" "2.1.0"
"@chakra-ui/card" "2.2.0"
- "@chakra-ui/checkbox" "2.3.0"
- "@chakra-ui/close-button" "2.1.0"
+ "@chakra-ui/checkbox" "2.3.1"
+ "@chakra-ui/close-button" "2.1.1"
"@chakra-ui/control-box" "2.1.0"
"@chakra-ui/counter" "2.1.0"
- "@chakra-ui/css-reset" "2.2.0"
+ "@chakra-ui/css-reset" "2.3.0"
"@chakra-ui/editable" "3.1.0"
"@chakra-ui/focus-lock" "2.1.0"
- "@chakra-ui/form-control" "2.1.0"
- "@chakra-ui/hooks" "2.2.0"
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/form-control" "2.1.1"
+ "@chakra-ui/hooks" "2.2.1"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/image" "2.1.0"
- "@chakra-ui/input" "2.1.0"
- "@chakra-ui/layout" "2.3.0"
+ "@chakra-ui/input" "2.1.1"
+ "@chakra-ui/layout" "2.3.1"
"@chakra-ui/live-region" "2.1.0"
"@chakra-ui/media-query" "3.3.0"
- "@chakra-ui/menu" "2.2.0"
- "@chakra-ui/modal" "2.3.0"
- "@chakra-ui/number-input" "2.1.0"
+ "@chakra-ui/menu" "2.2.1"
+ "@chakra-ui/modal" "2.3.1"
+ "@chakra-ui/number-input" "2.1.1"
"@chakra-ui/pin-input" "2.1.0"
- "@chakra-ui/popover" "2.2.0"
+ "@chakra-ui/popover" "2.2.1"
"@chakra-ui/popper" "3.1.0"
"@chakra-ui/portal" "2.1.0"
"@chakra-ui/progress" "2.2.0"
- "@chakra-ui/provider" "2.4.0"
- "@chakra-ui/radio" "2.1.0"
+ "@chakra-ui/provider" "2.4.1"
+ "@chakra-ui/radio" "2.1.1"
"@chakra-ui/react-env" "3.1.0"
- "@chakra-ui/select" "2.1.0"
+ "@chakra-ui/select" "2.1.1"
"@chakra-ui/skeleton" "2.1.0"
"@chakra-ui/skip-nav" "2.1.0"
"@chakra-ui/slider" "2.1.0"
"@chakra-ui/spinner" "2.1.0"
- "@chakra-ui/stat" "2.1.0"
- "@chakra-ui/stepper" "2.3.0"
+ "@chakra-ui/stat" "2.1.1"
+ "@chakra-ui/stepper" "2.3.1"
"@chakra-ui/styled-system" "2.9.1"
- "@chakra-ui/switch" "2.1.0"
- "@chakra-ui/system" "2.6.0"
+ "@chakra-ui/switch" "2.1.1"
+ "@chakra-ui/system" "2.6.1"
"@chakra-ui/table" "2.1.0"
- "@chakra-ui/tabs" "2.2.0"
- "@chakra-ui/tag" "3.1.0"
- "@chakra-ui/textarea" "2.1.0"
- "@chakra-ui/theme" "3.2.0"
- "@chakra-ui/theme-utils" "2.0.19"
- "@chakra-ui/toast" "7.0.0"
+ "@chakra-ui/tabs" "3.0.0"
+ "@chakra-ui/tag" "3.1.1"
+ "@chakra-ui/textarea" "2.1.1"
+ "@chakra-ui/theme" "3.3.0"
+ "@chakra-ui/theme-utils" "2.0.20"
+ "@chakra-ui/toast" "7.0.1"
"@chakra-ui/tooltip" "2.3.0"
"@chakra-ui/transition" "2.1.0"
"@chakra-ui/utils" "2.0.15"
- "@chakra-ui/visually-hidden" "2.1.0"
+ "@chakra-ui/visually-hidden" "2.2.0"
-"@chakra-ui/select@2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/select/-/select-2.1.0.tgz#4c9a6e881281e77ed35ba7a2e343f235b7e0b2fd"
- integrity sha512-6GEjCJNOm1pS9E7XRvodoVOuSFl82Jio3MGWgmcQrLznjJAhIZVMq85vCQqzGpjjfbHys/UctfdJY75Ctas/Jg==
+"@chakra-ui/select@2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/select/-/select-2.1.1.tgz#0792eeebdb82b1710c4527e7e8e2e07c686c714d"
+ integrity sha512-CERDATncv5w05Zo5/LrFtf1yKp1deyMUyDGv6eZvQG/etyukH4TstsuIHt/0GfNXrCF3CJLZ8lINzpv5wayVjQ==
dependencies:
- "@chakra-ui/form-control" "2.1.0"
+ "@chakra-ui/form-control" "2.1.1"
"@chakra-ui/shared-utils" "2.0.5"
"@chakra-ui/shared-utils@2.0.5":
@@ -726,21 +733,21 @@
dependencies:
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/stat@2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/stat/-/stat-2.1.0.tgz#6643b507358e9cacf008387b3f12b75899497369"
- integrity sha512-sqx0/AdFFZ80dsiM5owmhtQyYl+zON1r+IY0m70I/ABRVy+I3br06xdUhoaxh3tcP7c0O/BQgb+VCfXa9Y34CA==
+"@chakra-ui/stat@2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/stat/-/stat-2.1.1.tgz#a204ba915795345996a16c79794d84826d7dcc2d"
+ integrity sha512-LDn0d/LXQNbAn2KaR3F1zivsZCewY4Jsy1qShmfBMKwn6rI8yVlbvu6SiA3OpHS0FhxbsZxQI6HefEoIgtqY6Q==
dependencies:
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/stepper@2.3.0":
- version "2.3.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/stepper/-/stepper-2.3.0.tgz#5714df429936839145a62b5c197cff26b872b660"
- integrity sha512-q80QX/NLrjJQIlBP1N+Q8GVJb7/HiOpMoK1PlP4denB/KxkU2K8GEjss8U2vklR1XsWJy1fwfj03+66Q78Uk/Q==
+"@chakra-ui/stepper@2.3.1":
+ version "2.3.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/stepper/-/stepper-2.3.1.tgz#a0a0b73e147f202ab4e51cae55dad45489cc89fd"
+ integrity sha512-ky77lZbW60zYkSXhYz7kbItUpAQfEdycT0Q4bkHLxfqbuiGMf8OmgZOQkOB9uM4v0zPwy2HXhe0vq4Dd0xa55Q==
dependencies:
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
@@ -753,26 +760,26 @@
csstype "^3.0.11"
lodash.mergewith "4.6.2"
-"@chakra-ui/switch@2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/switch/-/switch-2.1.0.tgz#750474ef7f0a9854062e692cbbe9f3ed0cfbc4d8"
- integrity sha512-uWHOaIDQdGh+mszxeppj5aYVepbkSK445KZlJJkfr9Bnr6sythTwM63HSufnVDiTEE4uRqegv9jEjZK2JKA+9A==
+"@chakra-ui/switch@2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/switch/-/switch-2.1.1.tgz#8049963e6421cdd5eaaac1d20d9febae8d731b62"
+ integrity sha512-cOHIhW5AlLZSFENxFEBYTBniqiduOowa1WdzslP1Fd0usBFaD5iAgOY1Fvr7xKhE8nmzzeMCkPB3XBvUSWnawQ==
dependencies:
- "@chakra-ui/checkbox" "2.3.0"
+ "@chakra-ui/checkbox" "2.3.1"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/system@2.6.0":
- version "2.6.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/system/-/system-2.6.0.tgz#29f65bb0887ee0816bbb7b4b098ca5aa4918c409"
- integrity sha512-MgAFRz9V1pW0dplwWsB99hx49LCC+LsrkMala7KXcP0OvWdrkjw+iu+voBksO3626+glzgIwlZW113Eja+7JEQ==
+"@chakra-ui/system@2.6.1":
+ version "2.6.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/system/-/system-2.6.1.tgz#22ee50ddc9e1f56b974a0dd42d86108391a2f372"
+ integrity sha512-P5Q/XRWy3f1pXJ7IxDkV+Z6AT7GJeR2JlBnQl109xewVQcBLWWMIp702fFMFw8KZ2ALB/aYKtWm5EmQMddC/tg==
dependencies:
"@chakra-ui/color-mode" "2.2.0"
"@chakra-ui/object-utils" "2.1.0"
"@chakra-ui/react-utils" "2.0.12"
"@chakra-ui/styled-system" "2.9.1"
- "@chakra-ui/theme-utils" "2.0.19"
+ "@chakra-ui/theme-utils" "2.0.20"
"@chakra-ui/utils" "2.0.15"
- react-fast-compare "3.2.1"
+ react-fast-compare "3.2.2"
"@chakra-ui/table@2.1.0":
version "2.1.0"
@@ -782,10 +789,10 @@
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/tabs@2.2.0":
- version "2.2.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/tabs/-/tabs-2.2.0.tgz#72b6bf8bff3d3da3effb115991bf24e2157e29d2"
- integrity sha512-ulN7McHZ322qlbJXg8S+IwdN8Axh8q0HzYBOHzSdcnVphEytfv9TsfJhN0Hx5yjkpekAzG5fewn33ZdIpIpKyQ==
+"@chakra-ui/tabs@3.0.0":
+ version "3.0.0"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/tabs/-/tabs-3.0.0.tgz#854c06880af26158d7c72881c4b5e0453f6c485d"
+ integrity sha512-6Mlclp8L9lqXmsGWF5q5gmemZXOiOYuh0SGT/7PgJVNPz3LXREXlXg2an4MBUD8W5oTkduCX+3KTMCwRrVrDYw==
dependencies:
"@chakra-ui/clickable" "2.1.0"
"@chakra-ui/descendant" "3.1.0"
@@ -797,64 +804,64 @@
"@chakra-ui/react-use-safe-layout-effect" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/tag@3.1.0":
- version "3.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/tag/-/tag-3.1.0.tgz#b2c06254e1d5aaaf77ff41e5d2e6548b404cabd7"
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+"@chakra-ui/tag@3.1.1":
+ version "3.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/tag/-/tag-3.1.1.tgz#d05284b6549a84d3a08e57eec57df3ad0eebd882"
+ integrity sha512-Bdel79Dv86Hnge2PKOU+t8H28nm/7Y3cKd4Kfk9k3lOpUh4+nkSGe58dhRzht59lEqa4N9waCgQiBdkydjvBXQ==
dependencies:
- "@chakra-ui/icon" "3.1.0"
+ "@chakra-ui/icon" "3.2.0"
"@chakra-ui/react-context" "2.1.0"
-"@chakra-ui/textarea@2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/textarea/-/textarea-2.1.0.tgz#d0f157c9a09aea87c372409eead4292bd26999a0"
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+"@chakra-ui/textarea@2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/textarea/-/textarea-2.1.1.tgz#3e33404ff8470140e877840a5702a406996a3834"
+ integrity sha512-28bpwgmXg3BzSpg8i1Ao9h7pHaE1j2mBBFJpWaqPgMhS0IHm0BQsqqyWU6PsxxJDvrC4HN6MTzrIL4C1RA1I0A==
dependencies:
- "@chakra-ui/form-control" "2.1.0"
+ "@chakra-ui/form-control" "2.1.1"
"@chakra-ui/shared-utils" "2.0.5"
-"@chakra-ui/theme-tools@2.1.0", "@chakra-ui/theme-tools@^2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/theme-tools/-/theme-tools-2.1.0.tgz#ad34f2fdda61305ac96f69ad9ce38ad12f8bfdbf"
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+"@chakra-ui/theme-tools@2.1.1", "@chakra-ui/theme-tools@^2.1.1":
+ version "2.1.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/theme-tools/-/theme-tools-2.1.1.tgz#c7f3072ab533d7abc6a3831666be3c172f992554"
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dependencies:
- "@chakra-ui/anatomy" "2.2.0"
+ "@chakra-ui/anatomy" "2.2.1"
"@chakra-ui/shared-utils" "2.0.5"
- color2k "^2.0.0"
+ color2k "^2.0.2"
-"@chakra-ui/theme-utils@2.0.19":
- version "2.0.19"
- resolved "https://registry.yarnpkg.com/@chakra-ui/theme-utils/-/theme-utils-2.0.19.tgz#47e6af43f8ef22403686b779ca1a869ab1b7a5ec"
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+"@chakra-ui/theme-utils@2.0.20":
+ version "2.0.20"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/theme-utils/-/theme-utils-2.0.20.tgz#fdc4947ac4b95c16ff5885707c9a931c43b80cf6"
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dependencies:
"@chakra-ui/shared-utils" "2.0.5"
"@chakra-ui/styled-system" "2.9.1"
- "@chakra-ui/theme" "3.2.0"
+ "@chakra-ui/theme" "3.3.0"
lodash.mergewith "4.6.2"
-"@chakra-ui/theme@3.2.0":
- version "3.2.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/theme/-/theme-3.2.0.tgz#b8232d770e542895cf82535942a74ad803bb7133"
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+"@chakra-ui/theme@3.3.0":
+ version "3.3.0"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/theme/-/theme-3.3.0.tgz#7fe364322e75c7bdfa45b96dd3db6dac7eb8f7ef"
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dependencies:
- "@chakra-ui/anatomy" "2.2.0"
+ "@chakra-ui/anatomy" "2.2.1"
"@chakra-ui/shared-utils" "2.0.5"
- "@chakra-ui/theme-tools" "2.1.0"
+ "@chakra-ui/theme-tools" "2.1.1"
-"@chakra-ui/toast@7.0.0":
- version "7.0.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/toast/-/toast-7.0.0.tgz#6c6f1b7b8dc458ed0827b2edc47eb7d4075c95dc"
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+"@chakra-ui/toast@7.0.1":
+ version "7.0.1"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/toast/-/toast-7.0.1.tgz#11113b9185409ed1dc7a062f0498673f0840a013"
+ integrity sha512-V5JUhw6RZxbGRTijvd5k4iEMLCfbzTLNWbZLZhRZk10YvFfAP5OYfRCm68zpE/t3orN/f+4ZLL3P+Wb4E7oSmw==
dependencies:
- "@chakra-ui/alert" "2.2.0"
- "@chakra-ui/close-button" "2.1.0"
+ "@chakra-ui/alert" "2.2.1"
+ "@chakra-ui/close-button" "2.1.1"
"@chakra-ui/portal" "2.1.0"
"@chakra-ui/react-context" "2.1.0"
"@chakra-ui/react-use-timeout" "2.1.0"
"@chakra-ui/react-use-update-effect" "2.1.0"
"@chakra-ui/shared-utils" "2.0.5"
"@chakra-ui/styled-system" "2.9.1"
- "@chakra-ui/theme" "3.2.0"
+ "@chakra-ui/theme" "3.3.0"
"@chakra-ui/tooltip@2.3.0":
version "2.3.0"
@@ -887,10 +894,10 @@
framesync "6.1.2"
lodash.mergewith "4.6.2"
-"@chakra-ui/visually-hidden@2.1.0":
- version "2.1.0"
- resolved "https://registry.yarnpkg.com/@chakra-ui/visually-hidden/-/visually-hidden-2.1.0.tgz#9ec573964e5a07f8682574a060140d78e9f91c32"
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+"@chakra-ui/visually-hidden@2.2.0":
+ version "2.2.0"
+ resolved "https://registry.yarnpkg.com/@chakra-ui/visually-hidden/-/visually-hidden-2.2.0.tgz#9b0ecef8f01263ab808ba3bda7b36a0d91b4d5c1"
+ integrity sha512-KmKDg01SrQ7VbTD3+cPWf/UfpF5MSwm3v7MWi0n5t8HnnadT13MF0MJCDSXbBWnzLv1ZKJ6zlyAOeARWX+DpjQ==
"@dagrejs/graphlib@^2.1.13":
version "2.1.13"
@@ -1302,27 +1309,30 @@
minimatch "^3.1.2"
strip-json-comments "^3.1.1"
-"@eslint/js@^8.47.0":
- version "8.47.0"
- resolved "https://registry.yarnpkg.com/@eslint/js/-/js-8.47.0.tgz#5478fdf443ff8158f9de171c704ae45308696c7d"
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+"@eslint/js@8.51.0":
+ version "8.51.0"
+ resolved "https://registry.yarnpkg.com/@eslint/js/-/js-8.51.0.tgz#6d419c240cfb2b66da37df230f7e7eef801c32fa"
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+ version "1.5.0"
+ resolved "https://registry.yarnpkg.com/@floating-ui/core/-/core-1.5.0.tgz#5c05c60d5ae2d05101c3021c1a2a350ddc027f8c"
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dependencies:
- "@floating-ui/core" "^1.3.1"
+ "@floating-ui/utils" "^0.1.3"
+
+"@floating-ui/dom@^1.2.1", "@floating-ui/dom@^1.5.1":
+ version "1.5.3"
+ resolved "https://registry.yarnpkg.com/@floating-ui/dom/-/dom-1.5.3.tgz#54e50efcb432c06c23cd33de2b575102005436fa"
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+ dependencies:
+ "@floating-ui/core" "^1.4.2"
+ "@floating-ui/utils" "^0.1.3"
"@floating-ui/react-dom@^1.3.0":
version "1.3.0"
@@ -1331,12 +1341,12 @@
dependencies:
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-"@floating-ui/react-dom@^2.0.1":
- version "2.0.1"
- resolved "https://registry.yarnpkg.com/@floating-ui/react-dom/-/react-dom-2.0.1.tgz#7972a4fc488a8c746cded3cfe603b6057c308a91"
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+"@floating-ui/react-dom@^2.0.2":
+ version "2.0.2"
+ resolved "https://registry.yarnpkg.com/@floating-ui/react-dom/-/react-dom-2.0.2.tgz#fab244d64db08e6bed7be4b5fcce65315ef44d20"
+ integrity sha512-5qhlDvjaLmAst/rKb3VdlCinwTF4EYMiVxuuc/HVUjs46W0zgtbMmAZ1UTsDrRTxRmUEzl92mOtWbeeXL26lSQ==
dependencies:
- "@floating-ui/dom" "^1.3.0"
+ "@floating-ui/dom" "^1.5.1"
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version "0.19.2"
@@ -1347,20 +1357,25 @@
aria-hidden "^1.1.3"
tabbable "^6.0.1"
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+ version "0.1.6"
+ resolved "https://registry.yarnpkg.com/@floating-ui/utils/-/utils-0.1.6.tgz#22958c042e10b67463997bd6ea7115fe28cbcaf9"
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+"@fontsource-variable/inter@^5.0.13":
+ version "5.0.13"
+ resolved "https://registry.yarnpkg.com/@fontsource-variable/inter/-/inter-5.0.13.tgz#ddffb8cdc888c00bc232e30698fb872b775ee115"
+ integrity sha512-mb2WyZ2rHeqIG8aqGJIvLBOmo4sg2x7SHlsE6PUhwxbOicVzO59EZwSGtzNO3FmchuDPFVAxzcXYcR5B6jE6Qw==
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+"@fontsource/inter@^5.0.13":
+ version "5.0.13"
+ resolved "https://registry.yarnpkg.com/@fontsource/inter/-/inter-5.0.13.tgz#b106fdc43b8eea8d6f5c0ce55941b1ae577c49e5"
+ integrity sha512-FVIBhP9X/x02blF2VQl2Pji/c3jUjkWEQ9bom4vIrGwO1MlHRDXhXx9iA1hhjpcCIfH3oX68ihIBdYcFnOXhsg==
+
+"@humanwhocodes/config-array@^0.11.11":
+ version "0.11.11"
+ resolved "https://registry.yarnpkg.com/@humanwhocodes/config-array/-/config-array-0.11.11.tgz#88a04c570dbbc7dd943e4712429c3df09bc32844"
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dependencies:
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debug "^4.1.1"
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+ version "6.0.21"
+ resolved "https://registry.yarnpkg.com/@mantine/core/-/core-6.0.21.tgz#6e3a1b8d0f6869518a644d5f5e3d55a5db7e1e51"
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dependencies:
"@floating-ui/react" "^0.19.1"
- "@mantine/styles" "6.0.19"
- "@mantine/utils" "6.0.19"
+ "@mantine/styles" "6.0.21"
+ "@mantine/utils" "6.0.21"
"@radix-ui/react-scroll-area" "1.0.2"
react-remove-scroll "^2.5.5"
react-textarea-autosize "8.3.4"
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+ version "6.0.21"
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dependencies:
fast-deep-equal "^3.1.3"
klona "^2.0.5"
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+"@mantine/styles@6.0.21":
+ version "6.0.21"
+ resolved "https://registry.yarnpkg.com/@mantine/styles/-/styles-6.0.21.tgz#8ea097fc76cbb3ed55f5cfd719d2f910aff5031b"
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csstype "3.0.9"
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+ version "7.28.2"
+ resolved "https://registry.yarnpkg.com/@microsoft/api-extractor-model/-/api-extractor-model-7.28.2.tgz#91c66dd820ccc70e0c163e06b392d8363f1b9269"
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dependencies:
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dependencies:
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+ "@microsoft/api-extractor-model" "7.28.2"
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- "@rushstack/node-core-library" "3.59.7"
- "@rushstack/rig-package" "0.4.1"
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+ "@rushstack/ts-command-line" "4.16.1"
colors "~1.2.1"
lodash "~4.17.15"
resolve "~1.22.1"
@@ -1589,28 +1604,28 @@
dependencies:
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+ version "11.3.3"
+ resolved "https://registry.yarnpkg.com/@reactflow/background/-/background-11.3.3.tgz#c2662ca22acf49cce5084daf21aa4a3ca9f241f2"
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dependencies:
- "@reactflow/core" "11.8.3"
+ "@reactflow/core" "11.9.3"
classcat "^5.0.3"
zustand "^4.4.1"
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- resolved "https://registry.yarnpkg.com/@reactflow/controls/-/controls-11.1.19.tgz#a8bc4b4eafc10d5d230db5286753e867bcf35e5b"
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dependencies:
- "@reactflow/core" "11.8.3"
+ "@reactflow/core" "11.9.3"
classcat "^5.0.3"
zustand "^4.4.1"
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- resolved "https://registry.yarnpkg.com/@reactflow/core/-/core-11.8.3.tgz#03ffeb06fbc141b8f786cb4ac8169f8a51a5f00e"
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+"@reactflow/core@11.9.3":
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dependencies:
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"@types/d3-drag" "^3.0.1"
@@ -1622,12 +1637,12 @@
d3-zoom "^3.0.0"
zustand "^4.4.1"
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- resolved "https://registry.yarnpkg.com/@reactflow/minimap/-/minimap-11.6.3.tgz#1cfddd87e9afd23ad704167988c66bd683ffc5d2"
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+"@reactflow/minimap@11.7.3":
+ version "11.7.3"
+ resolved "https://registry.yarnpkg.com/@reactflow/minimap/-/minimap-11.7.3.tgz#d6ed45d48080e2d8bbd0af255dec958aca523574"
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dependencies:
- "@reactflow/core" "11.8.3"
+ "@reactflow/core" "11.9.3"
"@types/d3-selection" "^3.0.3"
"@types/d3-zoom" "^3.0.1"
classcat "^5.0.3"
@@ -1635,40 +1650,40 @@
d3-zoom "^3.0.0"
zustand "^4.4.1"
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- resolved "https://registry.yarnpkg.com/@reactflow/node-resizer/-/node-resizer-2.1.5.tgz#f4033946ccc9cc8f47a94ed93f10a32befd546f1"
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+ resolved "https://registry.yarnpkg.com/@reactflow/node-resizer/-/node-resizer-2.2.3.tgz#94665174cbf0524a3733bac836f5428f851b50e3"
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dependencies:
- "@reactflow/core" "11.8.3"
+ "@reactflow/core" "11.9.3"
classcat "^5.0.4"
d3-drag "^3.0.0"
d3-selection "^3.0.0"
zustand "^4.4.1"
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dependencies:
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+ "@reactflow/core" "11.9.3"
classcat "^5.0.3"
zustand "^4.4.1"
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+"@reduxjs/toolkit@^1.9.7":
+ version "1.9.7"
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redux "^4.2.1"
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+"@roarr/browser-log-writer@^1.3.0":
+ version "1.3.0"
+ resolved "https://registry.yarnpkg.com/@roarr/browser-log-writer/-/browser-log-writer-1.3.0.tgz#64aeb65ac88050f0e8c133876e548bec05cfa4af"
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dependencies:
boolean "^3.1.4"
globalthis "^1.0.2"
@@ -1691,10 +1706,10 @@
estree-walker "^2.0.2"
picomatch "^2.3.1"
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- resolved "https://registry.yarnpkg.com/@rushstack/node-core-library/-/node-core-library-3.59.7.tgz#9dcd62b79263e8a5b68465d4bf9124ec86e14b6c"
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+ version "3.61.0"
+ resolved "https://registry.yarnpkg.com/@rushstack/node-core-library/-/node-core-library-3.61.0.tgz#7441a0d2ae5268b758a7a49588a78cd55af57e66"
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dependencies:
colors "~1.2.1"
fs-extra "~7.0.1"
@@ -1704,18 +1719,18 @@
semver "~7.5.4"
z-schema "~5.0.2"
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+"@rushstack/rig-package@0.5.1":
+ version "0.5.1"
+ resolved "https://registry.yarnpkg.com/@rushstack/rig-package/-/rig-package-0.5.1.tgz#6c9c283cc96b5bb1eae9875946d974ac5429bb21"
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dependencies:
resolve "~1.22.1"
strip-json-comments "~3.1.1"
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- resolved "https://registry.yarnpkg.com/@rushstack/ts-command-line/-/ts-command-line-4.15.2.tgz#7920e3fa2ab6af129d995ce4424c600da0bf8a93"
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+ version "4.16.1"
+ resolved "https://registry.yarnpkg.com/@rushstack/ts-command-line/-/ts-command-line-4.16.1.tgz#3537bbc323f77c8646646465c579b992d39feb16"
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dependencies:
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argparse "~1.0.9"
@@ -1734,71 +1749,84 @@
dependencies:
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+ version "1.3.93"
+ resolved "https://registry.yarnpkg.com/@swc/core-darwin-arm64/-/core-darwin-arm64-1.3.93.tgz#aefd94625451988286bebccb1c072bae0a36bcdb"
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+ "@swc/types" "^0.1.5"
optionalDependencies:
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- "@swc/core-win32-ia32-msvc" "1.3.70"
- "@swc/core-win32-x64-msvc" "1.3.70"
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+ "@swc/core-linux-arm64-musl" "1.3.93"
+ "@swc/core-linux-x64-gnu" "1.3.93"
+ "@swc/core-linux-x64-musl" "1.3.93"
+ "@swc/core-win32-arm64-msvc" "1.3.93"
+ "@swc/core-win32-ia32-msvc" "1.3.93"
+ "@swc/core-win32-x64-msvc" "1.3.93"
+
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+ version "0.1.2"
+ resolved "https://registry.yarnpkg.com/@swc/counter/-/counter-0.1.2.tgz#bf06d0770e47c6f1102270b744e17b934586985e"
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+
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"@types/argparse@1.0.38":
version "1.0.38"
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- resolved "https://registry.yarnpkg.com/@types/lodash-es/-/lodash-es-4.17.8.tgz#cfffd0969507830c22da18dbb20d2ca126fdaa8b"
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+"@types/lodash-es@^4.17.9":
+ version "4.17.9"
+ resolved "https://registry.yarnpkg.com/@types/lodash-es/-/lodash-es-4.17.9.tgz#49dbe5112e23c54f2b387d860b7d03028ce170c2"
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dependencies:
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- resolved "https://registry.yarnpkg.com/@types/node/-/node-20.5.1.tgz#178d58ee7e4834152b0e8b4d30cbfab578b9bb30"
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+"@types/node@^20.8.6":
+ version "20.8.6"
+ resolved "https://registry.yarnpkg.com/@types/node/-/node-20.8.6.tgz#0dbd4ebcc82ad0128df05d0e6f57e05359ee47fa"
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+ dependencies:
+ undici-types "~5.25.1"
"@types/parse-json@^4.0.0":
version "4.0.0"
@@ -2095,10 +2125,10 @@
resolved "https://registry.yarnpkg.com/@types/prop-types/-/prop-types-15.7.5.tgz#5f19d2b85a98e9558036f6a3cacc8819420f05cf"
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+"@types/react-dom@^18.2.13":
+ version "18.2.13"
+ resolved "https://registry.yarnpkg.com/@types/react-dom/-/react-dom-18.2.13.tgz#89cd7f9ec8b28c8b6f0392b9591671fb4a9e96b7"
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dependencies:
"@types/react" "*"
@@ -2109,20 +2139,20 @@
dependencies:
"@types/react" "*"
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+ version "7.1.27"
+ resolved "https://registry.yarnpkg.com/@types/react-redux/-/react-redux-7.1.27.tgz#1afb31f7354bf787e162c10ff3fa19bafa9e6b57"
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dependencies:
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"@types/react" "*"
hoist-non-react-statics "^3.3.0"
redux "^4.0.0"
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- resolved "https://registry.yarnpkg.com/@types/react-transition-group/-/react-transition-group-4.4.6.tgz#18187bcda5281f8e10dfc48f0943e2fdf4f75e2e"
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+"@types/react-transition-group@^4.4.7":
+ version "4.4.7"
+ resolved "https://registry.yarnpkg.com/@types/react-transition-group/-/react-transition-group-4.4.7.tgz#bf69f269d74aa78b99097673ca6dd6824a68ef1c"
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dependencies:
"@types/react" "*"
@@ -2135,10 +2165,10 @@
"@types/scheduler" "*"
csstype "^3.0.2"
-"@types/react@^18.2.20":
- version "18.2.20"
- resolved "https://registry.yarnpkg.com/@types/react/-/react-18.2.20.tgz#1605557a83df5c8a2cc4eeb743b3dfc0eb6aaeb2"
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+"@types/react@^18.2.28":
+ version "18.2.28"
+ resolved "https://registry.yarnpkg.com/@types/react/-/react-18.2.28.tgz#86877465c0fcf751659a36c769ecedfcfacee332"
+ integrity sha512-ad4aa/RaaJS3hyGz0BGegdnSRXQBkd1CCYDCdNjBPg90UUpLgo+WlJqb9fMYUxtehmzF3PJaTWqRZjko6BRzBg==
dependencies:
"@types/prop-types" "*"
"@types/scheduler" "*"
@@ -2159,21 +2189,21 @@
resolved "https://registry.yarnpkg.com/@types/use-sync-external-store/-/use-sync-external-store-0.0.3.tgz#b6725d5f4af24ace33b36fafd295136e75509f43"
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-"@types/uuid@^9.0.2":
- version "9.0.2"
- resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-9.0.2.tgz#ede1d1b1e451548d44919dc226253e32a6952c4b"
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+"@types/uuid@^9.0.5":
+ version "9.0.5"
+ resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-9.0.5.tgz#25a71eb73eba95ac0e559ff3dd018fc08294acf6"
+ integrity sha512-xfHdwa1FMJ082prjSJpoEI57GZITiQz10r3vEJCHa2khEFQjKy91aWKz6+zybzssCvXUwE1LQWgWVwZ4nYUvHQ==
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- version "6.4.1"
- resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-6.4.1.tgz#bc0c6f000134b53c304ad0bec4ee4753cd3e89d2"
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+"@typescript-eslint/eslint-plugin@^6.7.5":
+ version "6.7.5"
+ resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-6.7.5.tgz#f4024b9f63593d0c2b5bd6e4ca027e6f30934d4f"
+ integrity sha512-JhtAwTRhOUcP96D0Y6KYnwig/MRQbOoLGXTON2+LlyB/N35SP9j1boai2zzwXb7ypKELXMx3DVk9UTaEq1vHEw==
dependencies:
"@eslint-community/regexpp" "^4.5.1"
- "@typescript-eslint/scope-manager" "6.4.1"
- "@typescript-eslint/type-utils" "6.4.1"
- "@typescript-eslint/utils" "6.4.1"
- "@typescript-eslint/visitor-keys" "6.4.1"
+ "@typescript-eslint/scope-manager" "6.7.5"
+ "@typescript-eslint/type-utils" "6.7.5"
+ "@typescript-eslint/utils" "6.7.5"
+ "@typescript-eslint/visitor-keys" "6.7.5"
debug "^4.3.4"
graphemer "^1.4.0"
ignore "^5.2.4"
@@ -2181,32 +2211,32 @@
semver "^7.5.4"
ts-api-utils "^1.0.1"
-"@typescript-eslint/parser@^6.4.1":
- version "6.4.1"
- resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-6.4.1.tgz#85ad550bf4ac4aa227504f1becb828f8e46c44e3"
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+"@typescript-eslint/parser@^6.7.5":
+ version "6.7.5"
+ resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-6.7.5.tgz#8d7ca3d1fbd9d5a58cc4d30b2aa797a760137886"
+ integrity sha512-bIZVSGx2UME/lmhLcjdVc7ePBwn7CLqKarUBL4me1C5feOd663liTGjMBGVcGr+BhnSLeP4SgwdvNnnkbIdkCw==
dependencies:
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- "@typescript-eslint/types" "6.4.1"
- "@typescript-eslint/typescript-estree" "6.4.1"
- "@typescript-eslint/visitor-keys" "6.4.1"
+ "@typescript-eslint/scope-manager" "6.7.5"
+ "@typescript-eslint/types" "6.7.5"
+ "@typescript-eslint/typescript-estree" "6.7.5"
+ "@typescript-eslint/visitor-keys" "6.7.5"
debug "^4.3.4"
-"@typescript-eslint/scope-manager@6.4.1":
- version "6.4.1"
- resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-6.4.1.tgz#4b073a30be2dbe603e44e9ae0cff7e1d3ed19278"
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+"@typescript-eslint/scope-manager@6.7.5":
+ version "6.7.5"
+ resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-6.7.5.tgz#1cf33b991043886cd67f4f3600b8e122fc14e711"
+ integrity sha512-GAlk3eQIwWOJeb9F7MKQ6Jbah/vx1zETSDw8likab/eFcqkjSD7BI75SDAeC5N2L0MmConMoPvTsmkrg71+B1A==
dependencies:
- "@typescript-eslint/types" "6.4.1"
- "@typescript-eslint/visitor-keys" "6.4.1"
+ "@typescript-eslint/types" "6.7.5"
+ "@typescript-eslint/visitor-keys" "6.7.5"
-"@typescript-eslint/type-utils@6.4.1":
- version "6.4.1"
- resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-6.4.1.tgz#fa21cb13016c8d6f352fe9b2d6c9ab6edc2d1857"
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+"@typescript-eslint/type-utils@6.7.5":
+ version "6.7.5"
+ resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-6.7.5.tgz#0a65949ec16588d8956f6d967f7d9c84ddb2d72a"
+ integrity sha512-Gs0qos5wqxnQrvpYv+pf3XfcRXW6jiAn9zE/K+DlmYf6FcpxeNYN0AIETaPR7rHO4K2UY+D0CIbDP9Ut0U4m1g==
dependencies:
- "@typescript-eslint/typescript-estree" "6.4.1"
- "@typescript-eslint/utils" "6.4.1"
+ "@typescript-eslint/typescript-estree" "6.7.5"
+ "@typescript-eslint/utils" "6.7.5"
debug "^4.3.4"
ts-api-utils "^1.0.1"
@@ -2220,18 +2250,18 @@
resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-5.62.0.tgz#258607e60effa309f067608931c3df6fed41fd2f"
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-"@typescript-eslint/types@6.4.1":
- version "6.4.1"
- resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-6.4.1.tgz#b2c61159f46dda210fed9f117f5d027f65bb5c3b"
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+"@typescript-eslint/types@6.7.5":
+ version "6.7.5"
+ resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-6.7.5.tgz#4571320fb9cf669de9a95d9849f922c3af809790"
+ integrity sha512-WboQBlOXtdj1tDFPyIthpKrUb+kZf2VroLZhxKa/VlwLlLyqv/PwUNgL30BlTVZV1Wu4Asu2mMYPqarSO4L5ZQ==
-"@typescript-eslint/typescript-estree@6.4.1":
- version "6.4.1"
- resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-6.4.1.tgz#91ff88101c710adb0f70a317f2f65efa9441da45"
- integrity sha512-xF6Y7SatVE/OyV93h1xGgfOkHr2iXuo8ip0gbfzaKeGGuKiAnzS+HtVhSPx8Www243bwlW8IF7X0/B62SzFftg==
+"@typescript-eslint/typescript-estree@6.7.5":
+ version "6.7.5"
+ resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-6.7.5.tgz#4578de1a26e9f24950f029a4f00d1bfe41f15a39"
+ integrity sha512-NhJiJ4KdtwBIxrKl0BqG1Ur+uw7FiOnOThcYx9DpOGJ/Abc9z2xNzLeirCG02Ig3vkvrc2qFLmYSSsaITbKjlg==
dependencies:
- "@typescript-eslint/types" "6.4.1"
- "@typescript-eslint/visitor-keys" "6.4.1"
+ "@typescript-eslint/types" "6.7.5"
+ "@typescript-eslint/visitor-keys" "6.7.5"
debug "^4.3.4"
globby "^11.1.0"
is-glob "^4.0.3"
@@ -2264,17 +2294,17 @@
semver "^7.3.7"
tsutils "^3.21.0"
-"@typescript-eslint/utils@6.4.1":
- version "6.4.1"
- resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-6.4.1.tgz#81bf62ff0c3119a26c19fab683582e29450717bc"
- integrity sha512-F/6r2RieNeorU0zhqZNv89s9bDZSovv3bZQpUNOmmQK1L80/cV4KEu95YUJWi75u5PhboFoKUJBnZ4FQcoqhDw==
+"@typescript-eslint/utils@6.7.5":
+ version "6.7.5"
+ resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-6.7.5.tgz#ab847b53d6b65e029314b8247c2336843dba81ab"
+ integrity sha512-pfRRrH20thJbzPPlPc4j0UNGvH1PjPlhlCMq4Yx7EGjV7lvEeGX0U6MJYe8+SyFutWgSHsdbJ3BXzZccYggezA==
dependencies:
"@eslint-community/eslint-utils" "^4.4.0"
"@types/json-schema" "^7.0.12"
"@types/semver" "^7.5.0"
- "@typescript-eslint/scope-manager" "6.4.1"
- "@typescript-eslint/types" "6.4.1"
- "@typescript-eslint/typescript-estree" "6.4.1"
+ "@typescript-eslint/scope-manager" "6.7.5"
+ "@typescript-eslint/types" "6.7.5"
+ "@typescript-eslint/typescript-estree" "6.7.5"
semver "^7.5.4"
"@typescript-eslint/visitor-keys@4.33.0":
@@ -2293,20 +2323,20 @@
"@typescript-eslint/types" "5.62.0"
eslint-visitor-keys "^3.3.0"
-"@typescript-eslint/visitor-keys@6.4.1":
- version "6.4.1"
- resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-6.4.1.tgz#e3ccf7b8d42e625946ac5094ed92a405fb4115e0"
- integrity sha512-y/TyRJsbZPkJIZQXrHfdnxVnxyKegnpEvnRGNam7s3TRR2ykGefEWOhaef00/UUN3IZxizS7BTO3svd3lCOJRQ==
+"@typescript-eslint/visitor-keys@6.7.5":
+ version "6.7.5"
+ resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-6.7.5.tgz#84c68d6ceb5b12d5246b918b84f2b79affd6c2f1"
+ integrity sha512-3MaWdDZtLlsexZzDSdQWsFQ9l9nL8B80Z4fImSpyllFC/KLqWQRdEcB+gGGO+N3Q2uL40EsG66wZLsohPxNXvg==
dependencies:
- "@typescript-eslint/types" "6.4.1"
+ "@typescript-eslint/types" "6.7.5"
eslint-visitor-keys "^3.4.1"
-"@vitejs/plugin-react-swc@^3.3.2":
- version "3.3.2"
- resolved "https://registry.yarnpkg.com/@vitejs/plugin-react-swc/-/plugin-react-swc-3.3.2.tgz#34a82c1728066f48a86dfecb2f15df60f89207fb"
- integrity sha512-VJFWY5sfoZerQRvJrh518h3AcQt6f/yTuWn4/TRB+dqmYU0NX1qz7qM5Wfd+gOQqUzQW4gxKqKN3KpE/P3+zrA==
+"@vitejs/plugin-react-swc@^3.4.0":
+ version "3.4.0"
+ resolved "https://registry.yarnpkg.com/@vitejs/plugin-react-swc/-/plugin-react-swc-3.4.0.tgz#53ca6a07423abadec92f967e188d5ba49b350830"
+ integrity sha512-m7UaA4Uvz82N/0EOVpZL4XsFIakRqrFKeSNxa1FBLSXGvWrWRBwmZb4qxk+ZIVAZcW3c3dn5YosomDgx62XWcQ==
dependencies:
- "@swc/core" "^1.3.61"
+ "@swc/core" "^1.3.85"
"@volar/language-core@1.10.1", "@volar/language-core@~1.10.0":
version "1.10.1"
@@ -2391,22 +2421,22 @@
resolved "https://registry.yarnpkg.com/@yarnpkg/lockfile/-/lockfile-1.1.0.tgz#e77a97fbd345b76d83245edcd17d393b1b41fb31"
integrity sha512-GpSwvyXOcOOlV70vbnzjj4fW5xW/FdUF6nQEt1ENy7m4ZCczi1+/buVUPAqmGfqznsORNFzUMjctTIp8a9tuCQ==
-"@zag-js/dom-query@0.10.5":
- version "0.10.5"
- resolved "https://registry.yarnpkg.com/@zag-js/dom-query/-/dom-query-0.10.5.tgz#9fc02a51383989667694d8747925e6d20294af9e"
- integrity sha512-zm6wA5+kqU48it6afNjaUhjVSixKZruTKB23z0V1xBqKbuiLOMMOZ5oK26cTPSXtZ5CPhDNZ2Qk4pliS5n9SVw==
+"@zag-js/dom-query@0.16.0":
+ version "0.16.0"
+ resolved "https://registry.yarnpkg.com/@zag-js/dom-query/-/dom-query-0.16.0.tgz#bca46bcd78f78c900064478646d95f9781ed098e"
+ integrity sha512-Oqhd6+biWyKnhKwFFuZrrf6lxBz2tX2pRQe6grUnYwO6HJ8BcbqZomy2lpOdr+3itlaUqx+Ywj5E5ZZDr/LBfQ==
"@zag-js/element-size@0.10.5":
version "0.10.5"
resolved "https://registry.yarnpkg.com/@zag-js/element-size/-/element-size-0.10.5.tgz#a24bad2eeb7e2c8709e32be5336e158e1a1a174f"
integrity sha512-uQre5IidULANvVkNOBQ1tfgwTQcGl4hliPSe69Fct1VfYb2Fd0jdAcGzqQgPhfrXFpR62MxLPB7erxJ/ngtL8w==
-"@zag-js/focus-visible@0.10.5":
- version "0.10.5"
- resolved "https://registry.yarnpkg.com/@zag-js/focus-visible/-/focus-visible-0.10.5.tgz#643e196ea768bea5ce54771102fae22f5e9ba3c7"
- integrity sha512-EhDHKLutMtvLFCjBjyIY6h1JoJJNXG3KJz7Dj1sh4tj4LWAqo/TqLvgHyUTB29XMHwoslFHDJHKVWmLGMi+ULQ==
+"@zag-js/focus-visible@0.16.0":
+ version "0.16.0"
+ resolved "https://registry.yarnpkg.com/@zag-js/focus-visible/-/focus-visible-0.16.0.tgz#c9e53e3dbab0f2649d04a489bb379f5800f4f069"
+ integrity sha512-a7U/HSopvQbrDU4GLerpqiMcHKEkQkNPeDZJWz38cw/6Upunh41GjHetq5TB84hxyCaDzJ6q2nEdNoBQfC0FKA==
dependencies:
- "@zag-js/dom-query" "0.10.5"
+ "@zag-js/dom-query" "0.16.0"
acorn-jsx@^5.3.2:
version "5.3.2"
@@ -2516,7 +2546,7 @@ argparse@~1.0.9:
dependencies:
sprintf-js "~1.0.2"
-aria-hidden@^1.1.3, aria-hidden@^1.2.2:
+aria-hidden@^1.1.3, aria-hidden@^1.2.3:
version "1.2.3"
resolved "https://registry.yarnpkg.com/aria-hidden/-/aria-hidden-1.2.3.tgz#14aeb7fb692bbb72d69bebfa47279c1fd725e954"
integrity sha512-xcLxITLe2HYa1cnYnwCjkOO1PqUHQpozB8x9AR0OgWN2woOBi5kSDVxKfd0b7sb1hw5qFeJhXm9H1nu3xSfLeQ==
@@ -2632,10 +2662,10 @@ available-typed-arrays@^1.0.5:
resolved "https://registry.yarnpkg.com/available-typed-arrays/-/available-typed-arrays-1.0.5.tgz#92f95616501069d07d10edb2fc37d3e1c65123b7"
integrity sha512-DMD0KiN46eipeziST1LPP/STfDU0sufISXmjSgvVsoU2tqxctQeASejWcfNtxYKqETM1UxQ8sp2OrSBWpHY6sw==
-axios@^1.4.0:
- version "1.4.0"
- resolved "https://registry.yarnpkg.com/axios/-/axios-1.4.0.tgz#38a7bf1224cd308de271146038b551d725f0be1f"
- integrity sha512-S4XCWMEmzvo64T9GfvQDOXgYRDJ/wsSZc7Jvdgx5u1sd0JwsuPLqb3SYmusag+edF6ziyMensPVqLTSc1PiSEA==
+axios@^1.5.1:
+ version "1.5.1"
+ resolved "https://registry.yarnpkg.com/axios/-/axios-1.5.1.tgz#11fbaa11fc35f431193a9564109c88c1f27b585f"
+ integrity sha512-Q28iYCWzNHjAm+yEAot5QaAMxhMghWLFVf7rRdwhUI+c2jix2DUXjAHXVi+s1ibs3mjPO/cCgbA++3BjD0vP/A==
dependencies:
follow-redirects "^1.15.0"
form-data "^4.0.0"
@@ -2918,7 +2948,7 @@ color-name@^1.1.4, color-name@~1.1.4:
resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
-color2k@^2.0.0:
+color2k@^2.0.2:
version "2.0.2"
resolved "https://registry.yarnpkg.com/color2k/-/color2k-2.0.2.tgz#ac2b4aea11c822a6bcb70c768b5a289f4fffcebb"
integrity sha512-kJhwH5nAwb34tmyuqq/lgjEKzlFXn1U99NlnB6Ws4qVaERcRUYeYP1cBw6BJ4vxaWStAUEef4WMr7WjOCnBt8w==
@@ -2940,10 +2970,10 @@ combined-stream@^1.0.8:
dependencies:
delayed-stream "~1.0.0"
-commander@11.0.0:
- version "11.0.0"
- resolved "https://registry.yarnpkg.com/commander/-/commander-11.0.0.tgz#43e19c25dbedc8256203538e8d7e9346877a6f67"
- integrity sha512-9HMlXtt/BNoYr8ooyjjNRdIilOTkVJXB+GhxMTtOKwk0R4j4lS4NpjuqmRxroBfnfTSHQIHQB7wryHhXarNjmQ==
+commander@11.1.0:
+ version "11.1.0"
+ resolved "https://registry.yarnpkg.com/commander/-/commander-11.1.0.tgz#62fdce76006a68e5c1ab3314dc92e800eb83d906"
+ integrity sha512-yPVavfyCcRhmorC7rWlkHn15b4wDVgVmBA7kV4QVBsF7kv/9TKJAbAXVTxvTnwP8HHKjRCJDClKbciiYS7p0DQ==
commander@^10.0.0:
version "10.0.1"
@@ -2975,20 +3005,20 @@ compare-versions@^6.1.0:
resolved "https://registry.yarnpkg.com/compare-versions/-/compare-versions-6.1.0.tgz#3f2131e3ae93577df111dba133e6db876ffe127a"
integrity sha512-LNZQXhqUvqUTotpZ00qLSaify3b4VFD588aRr8MKFw4CMUr98ytzCW5wDH5qx/DEY5kCDXcbcRuCqL0szEf2tg==
-compute-scroll-into-view@1.0.20:
- version "1.0.20"
- resolved "https://registry.yarnpkg.com/compute-scroll-into-view/-/compute-scroll-into-view-1.0.20.tgz#1768b5522d1172754f5d0c9b02de3af6be506a43"
- integrity sha512-UCB0ioiyj8CRjtrvaceBLqqhZCVP+1B8+NWQhmdsm0VXOJtobBCf1dBQmebCCo34qZmUwZfIH2MZLqNHazrfjg==
+compute-scroll-into-view@3.0.3:
+ version "3.0.3"
+ resolved "https://registry.yarnpkg.com/compute-scroll-into-view/-/compute-scroll-into-view-3.0.3.tgz#c418900a5c56e2b04b885b54995df164535962b1"
+ integrity sha512-nadqwNxghAGTamwIqQSG433W6OADZx2vCo3UXHNrzTRHK/htu+7+L0zhjEoaeaQVNAi3YgqWDv8+tzf0hRfR+A==
concat-map@0.0.1:
version "0.0.1"
resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==
-concurrently@^8.2.0:
- version "8.2.0"
- resolved "https://registry.yarnpkg.com/concurrently/-/concurrently-8.2.0.tgz#cdc9f621a4d913366600355d68254df2c5e782f3"
- integrity sha512-nnLMxO2LU492mTUj9qX/az/lESonSZu81UznYDoXtz1IQf996ixVqPAgHXwvHiHCAef/7S8HIK+fTFK7Ifk8YA==
+concurrently@^8.2.1:
+ version "8.2.1"
+ resolved "https://registry.yarnpkg.com/concurrently/-/concurrently-8.2.1.tgz#bcab9cacc38c23c503839583151e0fa96fd5b584"
+ integrity sha512-nVraf3aXOpIcNud5pB9M82p1tynmZkrSGQ1p6X/VY8cJ+2LMVqAgXsJxYYefACSHbTYlm92O1xuhdGTjwoEvbQ==
dependencies:
chalk "^4.1.2"
date-fns "^2.30.0"
@@ -3642,10 +3672,10 @@ eslint-config-prettier@^9.0.0:
resolved "https://registry.yarnpkg.com/eslint-config-prettier/-/eslint-config-prettier-9.0.0.tgz#eb25485946dd0c66cd216a46232dc05451518d1f"
integrity sha512-IcJsTkJae2S35pRsRAwoCE+925rJJStOdkKnLVgtE+tEpqU0EVVM7OqrwxqgptKdX29NUwC82I5pXsGFIgSevw==
-eslint-plugin-prettier@^5.0.0:
- version "5.0.0"
- resolved "https://registry.yarnpkg.com/eslint-plugin-prettier/-/eslint-plugin-prettier-5.0.0.tgz#6887780ed95f7708340ec79acfdf60c35b9be57a"
- integrity sha512-AgaZCVuYDXHUGxj/ZGu1u8H8CYgDY3iG6w5kUFw4AzMVXzB7VvbKgYR4nATIN+OvUrghMbiDLeimVjVY5ilq3w==
+eslint-plugin-prettier@^5.0.1:
+ version "5.0.1"
+ resolved "https://registry.yarnpkg.com/eslint-plugin-prettier/-/eslint-plugin-prettier-5.0.1.tgz#a3b399f04378f79f066379f544e42d6b73f11515"
+ integrity sha512-m3u5RnR56asrwV/lDC4GHorlW75DsFfmUcjfCYylTUs85dBRnB7VM6xG8eCMJdeDRnppzmxZVf1GEPJvl1JmNg==
dependencies:
prettier-linter-helpers "^1.0.0"
synckit "^0.8.5"
@@ -3700,16 +3730,16 @@ eslint-visitor-keys@^3.4.3:
resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-3.4.3.tgz#0cd72fe8550e3c2eae156a96a4dddcd1c8ac5800"
integrity sha512-wpc+LXeiyiisxPlEkUzU6svyS1frIO3Mgxj1fdy7Pm8Ygzguax2N3Fa/D/ag1WqbOprdI+uY6wMUl8/a2G+iag==
-eslint@^8.47.0:
- version "8.47.0"
- resolved "https://registry.yarnpkg.com/eslint/-/eslint-8.47.0.tgz#c95f9b935463fb4fad7005e626c7621052e90806"
- integrity sha512-spUQWrdPt+pRVP1TTJLmfRNJJHHZryFmptzcafwSvHsceV81djHOdnEeDmkdotZyLNjDhrOasNK8nikkoG1O8Q==
+eslint@^8.51.0:
+ version "8.51.0"
+ resolved "https://registry.yarnpkg.com/eslint/-/eslint-8.51.0.tgz#4a82dae60d209ac89a5cff1604fea978ba4950f3"
+ integrity sha512-2WuxRZBrlwnXi+/vFSJyjMqrNjtJqiasMzehF0shoLaW7DzS3/9Yvrmq5JiT66+pNjiX4UBnLDiKHcWAr/OInA==
dependencies:
"@eslint-community/eslint-utils" "^4.2.0"
"@eslint-community/regexpp" "^4.6.1"
"@eslint/eslintrc" "^2.1.2"
- "@eslint/js" "^8.47.0"
- "@humanwhocodes/config-array" "^0.11.10"
+ "@eslint/js" "8.51.0"
+ "@humanwhocodes/config-array" "^0.11.11"
"@humanwhocodes/module-importer" "^1.0.1"
"@nodelib/fs.walk" "^1.2.8"
ajv "^6.12.4"
@@ -3791,19 +3821,19 @@ eventemitter3@^5.0.1:
resolved "https://registry.yarnpkg.com/eventemitter3/-/eventemitter3-5.0.1.tgz#53f5ffd0a492ac800721bb42c66b841de96423c4"
integrity sha512-GWkBvjiSZK87ELrYOSESUYeVIc9mvLLf/nXalMOS5dYrgZq9o5OVkbZAVM06CVxYsCwH9BDZFPlQTlPA1j4ahA==
-execa@7.2.0, execa@^7.1.1:
- version "7.2.0"
- resolved "https://registry.yarnpkg.com/execa/-/execa-7.2.0.tgz#657e75ba984f42a70f38928cedc87d6f2d4fe4e9"
- integrity sha512-UduyVP7TLB5IcAQl+OzLyLcS/l32W/GLg+AhHJ+ow40FOk2U3SAllPwR44v4vmdFwIWqpdwxxpQbF1n5ta9seA==
+execa@8.0.1:
+ version "8.0.1"
+ resolved "https://registry.yarnpkg.com/execa/-/execa-8.0.1.tgz#51f6a5943b580f963c3ca9c6321796db8cc39b8c"
+ integrity sha512-VyhnebXciFV2DESc+p6B+y0LjSm0krU4OgJN44qFAhBY0TJ+1V61tYD2+wHusZ6F9n5K+vl8k0sTy7PEfV4qpg==
dependencies:
cross-spawn "^7.0.3"
- get-stream "^6.0.1"
- human-signals "^4.3.0"
+ get-stream "^8.0.1"
+ human-signals "^5.0.0"
is-stream "^3.0.0"
merge-stream "^2.0.0"
npm-run-path "^5.1.0"
onetime "^6.0.0"
- signal-exit "^3.0.7"
+ signal-exit "^4.1.0"
strip-final-newline "^3.0.0"
execa@^5.0.0:
@@ -3821,6 +3851,21 @@ execa@^5.0.0:
signal-exit "^3.0.3"
strip-final-newline "^2.0.0"
+execa@^7.1.1:
+ version "7.2.0"
+ resolved "https://registry.yarnpkg.com/execa/-/execa-7.2.0.tgz#657e75ba984f42a70f38928cedc87d6f2d4fe4e9"
+ integrity sha512-UduyVP7TLB5IcAQl+OzLyLcS/l32W/GLg+AhHJ+ow40FOk2U3SAllPwR44v4vmdFwIWqpdwxxpQbF1n5ta9seA==
+ dependencies:
+ cross-spawn "^7.0.3"
+ get-stream "^6.0.1"
+ human-signals "^4.3.0"
+ is-stream "^3.0.0"
+ merge-stream "^2.0.0"
+ npm-run-path "^5.1.0"
+ onetime "^6.0.0"
+ signal-exit "^3.0.7"
+ strip-final-newline "^3.0.0"
+
fast-deep-equal@^3.1.1, fast-deep-equal@^3.1.3:
version "3.1.3"
resolved "https://registry.yarnpkg.com/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz#3a7d56b559d6cbc3eb512325244e619a65c6c525"
@@ -4020,11 +4065,12 @@ form-data@^4.0.0:
combined-stream "^1.0.8"
mime-types "^2.1.12"
-formik@^2.4.3:
- version "2.4.3"
- resolved "https://registry.yarnpkg.com/formik/-/formik-2.4.3.tgz#6020e85eb3e3e8415b3b19d6f4f65793ab754b24"
- integrity sha512-2Dy79Szw3zlXmZiokUdKsn+n1ow4G8hRrC/n92cOWHNTWXCRpQXlyvz6HcjW7aSQZrldytvDOavYjhfmDnUq8Q==
+formik@^2.4.5:
+ version "2.4.5"
+ resolved "https://registry.yarnpkg.com/formik/-/formik-2.4.5.tgz#f899b5b7a6f103a8fabb679823e8fafc7e0ee1b4"
+ integrity sha512-Gxlht0TD3vVdzMDHwkiNZqJ7Mvg77xQNfmBRrNtvzcHZs72TJppSTDKHpImCMJZwcWPBJ8jSQQ95GJzXFf1nAQ==
dependencies:
+ "@types/hoist-non-react-statics" "^3.3.1"
deepmerge "^2.1.1"
hoist-non-react-statics "^3.3.0"
lodash "^4.17.21"
@@ -4033,10 +4079,10 @@ formik@^2.4.3:
tiny-warning "^1.0.2"
tslib "^2.0.0"
-framer-motion@^10.16.1:
- version "10.16.1"
- resolved "https://registry.yarnpkg.com/framer-motion/-/framer-motion-10.16.1.tgz#0ff5de554bbb35ee6605357d80f92b27d0271a94"
- integrity sha512-K6TXr5mZtitC/dxQCBdg7xzdN0d5IAIrlaqCPKtIQVdzVPGC0qBuJKXggHX1vjnP5gPOFwB1KbCCTWcnFc3kWg==
+framer-motion@^10.16.4:
+ version "10.16.4"
+ resolved "https://registry.yarnpkg.com/framer-motion/-/framer-motion-10.16.4.tgz#30279ef5499b8d85db3a298ee25c83429933e9f8"
+ integrity sha512-p9V9nGomS3m6/CALXqv6nFGMuFOxbWsmaOrdmhyQimMIlLl3LC7h7l86wge/Js/8cRu5ktutS/zlzgR7eBOtFA==
dependencies:
tslib "^2.4.0"
optionalDependencies:
@@ -4149,6 +4195,11 @@ get-stream@^6.0.0, get-stream@^6.0.1:
resolved "https://registry.yarnpkg.com/get-stream/-/get-stream-6.0.1.tgz#a262d8eef67aced57c2852ad6167526a43cbf7b7"
integrity sha512-ts6Wi+2j3jQjqi70w5AlN8DFnkSwC+MqmxEzdEALB2qXZYV3X/b1CTfgPLGJNMeAWxdPfU8FO1ms3NUfaHCPYg==
+get-stream@^8.0.1:
+ version "8.0.1"
+ resolved "https://registry.yarnpkg.com/get-stream/-/get-stream-8.0.1.tgz#def9dfd71742cd7754a7761ed43749a27d02eca2"
+ integrity sha512-VaUJspBffn/LMCJVoMvSAdmscJyS1auj5Zulnn5UoYcY531UWmdwhRWkcGKnGU93m5HSXP9LP2usOryrBtQowA==
+
get-symbol-description@^1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/get-symbol-description/-/get-symbol-description-1.0.0.tgz#7fdb81c900101fbd564dd5f1a30af5aadc1e58d6"
@@ -4313,6 +4364,11 @@ human-signals@^4.3.0:
resolved "https://registry.yarnpkg.com/human-signals/-/human-signals-4.3.1.tgz#ab7f811e851fca97ffbd2c1fe9a958964de321b2"
integrity sha512-nZXjEF2nbo7lIw3mgYjItAfgQXog3OjJogSbKa2CQIIvSGWcKgeJnQlNXip6NglNzYH45nSRiEVimMvYL8DDqQ==
+human-signals@^5.0.0:
+ version "5.0.0"
+ resolved "https://registry.yarnpkg.com/human-signals/-/human-signals-5.0.0.tgz#42665a284f9ae0dade3ba41ebc37eb4b852f3a28"
+ integrity sha512-AXcZb6vzzrFAUE61HnN4mpLqd/cSIwNQjtNWR0euPm6y0iqx3G4gOXaIDdtdDwZmhwe82LA6+zinmW4UBWVePQ==
+
husky@^8.0.3:
version "8.0.3"
resolved "https://registry.yarnpkg.com/husky/-/husky-8.0.3.tgz#4936d7212e46d1dea28fef29bb3a108872cd9184"
@@ -4330,17 +4386,17 @@ i18next-browser-languagedetector@^7.0.2:
dependencies:
"@babel/runtime" "^7.19.4"
-i18next-http-backend@^2.2.1:
- version "2.2.1"
- resolved "https://registry.yarnpkg.com/i18next-http-backend/-/i18next-http-backend-2.2.1.tgz#cdb7efbafa46ce8f237d9db443f62514664a3bdf"
- integrity sha512-ZXIdn/8NJIBJ0X4hzXfc3STYxKrCKh1fYjji9HPyIpEJfvTvy8/ZlTl8RuTizzCPj2ZcWrfaecyOMKs6bQ7u5A==
+i18next-http-backend@^2.2.2:
+ version "2.2.2"
+ resolved "https://registry.yarnpkg.com/i18next-http-backend/-/i18next-http-backend-2.2.2.tgz#3ee16dfe5fe33524ec8925d4f0bf1508ebbbfadf"
+ integrity sha512-mJu4ZqzDtBiU3O4GV9AbK5ekEqoDMdMnCl3pkdXmb5b8yoIH//u8FsmIe6C5qXb3teZu+j6VMi20tjUgzeABiw==
dependencies:
cross-fetch "3.1.6"
-i18next@^23.4.4:
- version "23.4.4"
- resolved "https://registry.yarnpkg.com/i18next/-/i18next-23.4.4.tgz#ec8fb2b5f3c5d8e3bf3f8ab1b19e743be91300e0"
- integrity sha512-+c9B0txp/x1m5zn+QlwHaCS9vyFtmIAEXbVSFzwCX7vupm5V7va8F9cJGNJZ46X9ZtoGzhIiRC7eTIIh93TxPA==
+i18next@^23.5.1:
+ version "23.5.1"
+ resolved "https://registry.yarnpkg.com/i18next/-/i18next-23.5.1.tgz#7f7c35ffaa907618d9489f106d5006b09fbca3d3"
+ integrity sha512-JelYzcaCoFDaa+Ysbfz2JsGAKkrHiMG6S61+HLBUEIPaF40WMwW9hCPymlQGrP+wWawKxKPuSuD71WZscCsWHg==
dependencies:
"@babel/runtime" "^7.22.5"
@@ -4837,10 +4893,10 @@ kolorist@^1.8.0:
resolved "https://registry.yarnpkg.com/kolorist/-/kolorist-1.8.0.tgz#edddbbbc7894bc13302cdf740af6374d4a04743c"
integrity sha512-Y+60/zizpJ3HRH8DCss+q95yr6145JXZo46OTpFvDZWLfRCE4qChOyk1b26nMaNpfHHgxagk9dXT5OP0Tfe+dQ==
-konva@^9.2.0:
- version "9.2.0"
- resolved "https://registry.yarnpkg.com/konva/-/konva-9.2.0.tgz#3739e539724b0e6b76d697a322efdaa01baa1508"
- integrity sha512-+woI76Sk+VFVl9z7zPkuTnN2zFpEYg27YWz8BCdQXpt5IS3pdnSPAPQVPPMidcbDi9/G5b/IOIp35/KqMGiYPA==
+konva@^9.2.2:
+ version "9.2.2"
+ resolved "https://registry.yarnpkg.com/konva/-/konva-9.2.2.tgz#972105ec79a89c60296d5e36d1f7cef9b84a42d4"
+ integrity sha512-Gyn5hQa/5+8pJvTn/IVyZWgum2otWXszuVCG/cevkAyKUFcmFv4tGbQhHFGtJPLQkGO+W6xfgRzyYIkNgKnPxA==
levn@^0.4.1:
version "0.4.1"
@@ -4860,21 +4916,21 @@ lines-and-columns@^1.1.6:
resolved "https://registry.yarnpkg.com/lines-and-columns/-/lines-and-columns-1.2.4.tgz#eca284f75d2965079309dc0ad9255abb2ebc1632"
integrity sha512-7ylylesZQ/PV29jhEDl3Ufjo6ZX7gCqJr5F7PKrqc93v7fzSymt1BpwEU8nAUXs8qzzvqhbjhK5QZg6Mt/HkBg==
-lint-staged@^14.0.1:
- version "14.0.1"
- resolved "https://registry.yarnpkg.com/lint-staged/-/lint-staged-14.0.1.tgz#57dfa3013a3d60762d9af5d9c83bdb51291a6232"
- integrity sha512-Mw0cL6HXnHN1ag0mN/Dg4g6sr8uf8sn98w2Oc1ECtFto9tvRF7nkXGJRbx8gPlHyoR0pLyBr2lQHbWwmUHe1Sw==
+lint-staged@^15.0.1:
+ version "15.0.1"
+ resolved "https://registry.yarnpkg.com/lint-staged/-/lint-staged-15.0.1.tgz#1db47c315c79bafe993aa33a0b50cbfeef50d906"
+ integrity sha512-2IU5OWmCaxch0X0+IBF4/v7sutpB+F3qoXbro43pYjQTOo5wumckjxoxn47pQBqqBsCWrD5HnI2uG/zJA7isew==
dependencies:
chalk "5.3.0"
- commander "11.0.0"
+ commander "11.1.0"
debug "4.3.4"
- execa "7.2.0"
+ execa "8.0.1"
lilconfig "2.1.0"
- listr2 "6.6.1"
+ listr2 "7.0.1"
micromatch "4.0.5"
pidtree "0.6.0"
string-argv "0.3.2"
- yaml "2.3.1"
+ yaml "2.3.2"
liqe@^3.6.0:
version "3.6.1"
@@ -4884,10 +4940,10 @@ liqe@^3.6.0:
nearley "^2.20.1"
ts-error "^1.0.6"
-listr2@6.6.1:
- version "6.6.1"
- resolved "https://registry.yarnpkg.com/listr2/-/listr2-6.6.1.tgz#08b2329e7e8ba6298481464937099f4a2cd7f95d"
- integrity sha512-+rAXGHh0fkEWdXBmX+L6mmfmXmXvDGEKzkjxO+8mP3+nI/r/CWznVBvsibXdxda9Zz0OW2e2ikphN3OwCT/jSg==
+listr2@7.0.1:
+ version "7.0.1"
+ resolved "https://registry.yarnpkg.com/listr2/-/listr2-7.0.1.tgz#18e7a655b189cd7a8a76575a26f4d494b6ffc2c2"
+ integrity sha512-nz+7hwgbDp8eWNoDgzdl4hA/xDSLrNRzPu1TLgOYs6l5Y+Ma6zVWWy9Oyt9TQFONwKoSPoka3H50D3vD5EuNwg==
dependencies:
cli-truncate "^3.1.0"
colorette "^2.0.20"
@@ -5299,27 +5355,27 @@ open@^9.1.0:
is-inside-container "^1.0.0"
is-wsl "^2.2.0"
-openapi-fetch@^0.7.4:
- version "0.7.4"
- resolved "https://registry.yarnpkg.com/openapi-fetch/-/openapi-fetch-0.7.4.tgz#3676e0c44433bfa6701cd408853fec75599a9f0d"
- integrity sha512-ACoSikOuFO3sMROtqritJAsGd694gRNXFnWpYAqi+tQzowLOkcQ6SbeAvS+T6qNS92y/OLiiYcNrb/Rh/MrEVw==
+openapi-fetch@^0.7.10:
+ version "0.7.10"
+ resolved "https://registry.yarnpkg.com/openapi-fetch/-/openapi-fetch-0.7.10.tgz#624c928a646b53561ff2703f00d5617fa88a72df"
+ integrity sha512-lDZkHjSxBuSTPXkJuJ9kSpkLxY9jgsVHbKkhS7rukoKi5et5QUlWCEzO/E6PaSHTQkJDPOjXdBJeDOSj2e8QwQ==
dependencies:
- openapi-typescript-helpers "^0.0.1"
+ openapi-typescript-helpers "^0.0.4"
openapi-types@^12.1.3:
version "12.1.3"
resolved "https://registry.yarnpkg.com/openapi-types/-/openapi-types-12.1.3.tgz#471995eb26c4b97b7bd356aacf7b91b73e777dd3"
integrity sha512-N4YtSYJqghVu4iek2ZUvcN/0aqH1kRDuNqzcycDxhOUpg7GdvLa2F3DgS6yBNhInhv2r/6I0Flkn7CqL8+nIcw==
-openapi-typescript-helpers@^0.0.1:
- version "0.0.1"
- resolved "https://registry.yarnpkg.com/openapi-typescript-helpers/-/openapi-typescript-helpers-0.0.1.tgz#865c9b66f18db89e41cd0d770170719610f68d2d"
- integrity sha512-WDmxej0eHSZtLgCuyPEn2NXRV7tcvUnBBNP/0c/U66mOlxs6Yn0/dHuWlkVKdHGNahSUwG57A1tyutHWRpWqFg==
+openapi-typescript-helpers@^0.0.4:
+ version "0.0.4"
+ resolved "https://registry.yarnpkg.com/openapi-typescript-helpers/-/openapi-typescript-helpers-0.0.4.tgz#ffe7c4868f094fcc8502dbdcddc6c32ce8011aee"
+ integrity sha512-Q0MTapapFAG993+dx8lNw33X6P/6EbFr31yNymJHq56fNc6dODyRm8tWyRnGxuC74lyl1iCRMV6nQCGQsfVNKg==
-openapi-typescript@^6.5.2:
- version "6.5.2"
- resolved "https://registry.yarnpkg.com/openapi-typescript/-/openapi-typescript-6.5.2.tgz#622e54e6de25bd65c65a1f129be42193160e6e42"
- integrity sha512-Zz41utYZ3BAyr32QhOATSnN9zcWMsJeA4Jdq7xQjfYOdZbQfI8Fvsvx41Doe9Wvoho1aj5cP9b5Z7kHtG6mYvg==
+openapi-typescript@^6.7.0:
+ version "6.7.0"
+ resolved "https://registry.yarnpkg.com/openapi-typescript/-/openapi-typescript-6.7.0.tgz#6d1a4dfc0db60b61573a3ea3c52984a79c638c67"
+ integrity sha512-eoUfJwhnMEug7euZ1dATG7iRiDVsEROwdPkhLUDiaFjcClV4lzft9F0Ii0fYjULCPNIiWiFi0BqMpSxipuvAgQ==
dependencies:
ansi-colors "^4.1.3"
fast-glob "^3.3.1"
@@ -5360,15 +5416,15 @@ os-tmpdir@~1.0.2:
resolved "https://registry.yarnpkg.com/os-tmpdir/-/os-tmpdir-1.0.2.tgz#bbe67406c79aa85c5cfec766fe5734555dfa1274"
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-overlayscrollbars-react@^0.5.0:
- version "0.5.1"
- resolved "https://registry.yarnpkg.com/overlayscrollbars-react/-/overlayscrollbars-react-0.5.1.tgz#b5dde9803bae0115f0f214db0c60cdf98213eedb"
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+overlayscrollbars-react@^0.5.2:
+ version "0.5.2"
+ resolved "https://registry.yarnpkg.com/overlayscrollbars-react/-/overlayscrollbars-react-0.5.2.tgz#b8a6294279a1d0984392586b56a03df78d6c1e34"
+ integrity sha512-y3xIPY3to7hneF30MQ/tK9nI6UOcflgenAYktgyfi0GuwnsYEuAqgLfs2qDGiNhFA30Xcz3gaMxvqD7+hTvFRA==
-overlayscrollbars@^2.2.0:
- version "2.2.1"
- resolved "https://registry.yarnpkg.com/overlayscrollbars/-/overlayscrollbars-2.2.1.tgz#2a6d43ebba5188a394a8b99611f39e22aad6e0c0"
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+overlayscrollbars@^2.3.2:
+ version "2.3.2"
+ resolved "https://registry.yarnpkg.com/overlayscrollbars/-/overlayscrollbars-2.3.2.tgz#1f31daa0b808f5d4710a59c73eb579397745dd72"
+ integrity sha512-K3Sau7NpFruKfXBauvchAQshAW+un1qD8EYNcozrPAB2kbif8C2rqa+1EWvMMWPKl88wgf2rX2QDMLgAfR0hHA==
p-limit@^3.0.2:
version "3.1.0"
@@ -5577,10 +5633,10 @@ prettier@^2.0.5, prettier@^2.8.8:
resolved "https://registry.yarnpkg.com/prettier/-/prettier-2.8.8.tgz#e8c5d7e98a4305ffe3de2e1fc4aca1a71c28b1da"
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-prettier@^3.0.2:
- version "3.0.2"
- resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.0.2.tgz#78fcecd6d870551aa5547437cdae39d4701dca5b"
- integrity sha512-o2YR9qtniXvwEZlOKbveKfDQVyqxbEIWn48Z8m3ZJjBjcCmUy3xZGIv+7AkaeuaTr6yPXJjwv07ZWlsWbEy1rQ==
+prettier@^3.0.3:
+ version "3.0.3"
+ resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.0.3.tgz#432a51f7ba422d1469096c0fdc28e235db8f9643"
+ integrity sha512-L/4pUDMxcNa8R/EthV08Zt42WBO4h1rarVtK0K+QJG0X187OLo7l699jWw0GKuwzkPQ//jMFA/8Xm6Fh3J/DAg==
pretty-ms@^7.0.1:
version "7.0.1"
@@ -5686,10 +5742,10 @@ react-error-boundary@^4.0.11:
dependencies:
"@babel/runtime" "^7.12.5"
-react-fast-compare@3.2.1:
- version "3.2.1"
- resolved "https://registry.yarnpkg.com/react-fast-compare/-/react-fast-compare-3.2.1.tgz#53933d9e14f364281d6cba24bfed7a4afb808b5f"
- integrity sha512-xTYf9zFim2pEif/Fw16dBiXpe0hoy5PxcD8+OwBnTtNLfIm3g6WxhKNurY+6OmdH1u6Ta/W/Vl6vjbYP1MFnDg==
+react-fast-compare@3.2.2:
+ version "3.2.2"
+ resolved "https://registry.yarnpkg.com/react-fast-compare/-/react-fast-compare-3.2.2.tgz#929a97a532304ce9fee4bcae44234f1ce2c21d49"
+ integrity sha512-nsO+KSNgo1SbJqJEYRE9ERzo7YtYbou/OqjSQKxV7jcKox7+usiUVZOAC+XnDOABXggQTno0Y1CpVnuWEc1boQ==
react-fast-compare@^2.0.1:
version "2.0.4"
@@ -5713,18 +5769,18 @@ react-hotkeys-hook@4.4.1:
resolved "https://registry.yarnpkg.com/react-hotkeys-hook/-/react-hotkeys-hook-4.4.1.tgz#1f7a7a1c9c21d4fa3280bf340fcca8fd77d81994"
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-react-i18next@^13.1.2:
- version "13.1.2"
- resolved "https://registry.yarnpkg.com/react-i18next/-/react-i18next-13.1.2.tgz#dbb1b18c364295af2a9072333ee4e0b43cbc2da8"
- integrity sha512-D/OJ/8ZQYscabsvbCAiOgvJq8W3feQF/VIV0to1w7V7UvrUE1IZ3hcalOckUYvKBd7BP3b8EPm+hop3J8sS+Mw==
+react-i18next@^13.3.0:
+ version "13.3.0"
+ resolved "https://registry.yarnpkg.com/react-i18next/-/react-i18next-13.3.0.tgz#8e39c0101f654db7eb971f159bb55067a78925c3"
+ integrity sha512-FlR9xjYHSPIJfQspEmkN0yOlxgRyNuiJKJ8gCaZH08UJ7SZHG+VrptEPcpEMEchjNoCOZdKcvJ3PnmHEZhkeXg==
dependencies:
"@babel/runtime" "^7.22.5"
html-parse-stringify "^3.0.1"
-react-icons@^4.10.1:
- version "4.10.1"
- resolved "https://registry.yarnpkg.com/react-icons/-/react-icons-4.10.1.tgz#3f3b5eec1f63c1796f6a26174a1091ca6437a500"
- integrity sha512-/ngzDP/77tlCfqthiiGNZeYFACw85fUjZtLbedmJ5DTlNDIwETxhwBzdOJ21zj4iJdvc0J3y7yOsX3PpxAJzrw==
+react-icons@^4.11.0:
+ version "4.11.0"
+ resolved "https://registry.yarnpkg.com/react-icons/-/react-icons-4.11.0.tgz#4b0e31c9bfc919608095cc429c4f1846f4d66c65"
+ integrity sha512-V+4khzYcE5EBk/BvcuYRq6V/osf11ODUM2J8hg2FDSswRrGvqiYUYPRy4OdrWaQOBj4NcpJfmHZLNaD+VH0TyA==
react-is@^16.13.1, react-is@^16.7.0:
version "16.13.1"
@@ -5754,10 +5810,10 @@ react-reconciler@~0.29.0:
loose-envify "^1.1.0"
scheduler "^0.23.0"
-react-redux@^8.1.2:
- version "8.1.2"
- resolved "https://registry.yarnpkg.com/react-redux/-/react-redux-8.1.2.tgz#9076bbc6b60f746659ad6d51cb05de9c5e1e9188"
- integrity sha512-xJKYI189VwfsFc4CJvHqHlDrzyFTY/3vZACbE+rr/zQ34Xx1wQfB4OTOSeOSNrF6BDVe8OOdxIrAnMGXA3ggfw==
+react-redux@^8.1.3:
+ version "8.1.3"
+ resolved "https://registry.yarnpkg.com/react-redux/-/react-redux-8.1.3.tgz#4fdc0462d0acb59af29a13c27ffef6f49ab4df46"
+ integrity sha512-n0ZrutD7DaX/j9VscF+uTALI3oUPa/pO4Z3soOBIjuRn/FzVu6aehhysxZCLi6y7duMf52WNZGMl7CtuK5EnRw==
dependencies:
"@babel/runtime" "^7.12.1"
"@types/hoist-non-react-statics" "^3.3.1"
@@ -5774,10 +5830,10 @@ react-remove-scroll-bar@^2.3.4:
react-style-singleton "^2.2.1"
tslib "^2.0.0"
-react-remove-scroll@^2.5.5:
- version "2.5.6"
- resolved "https://registry.yarnpkg.com/react-remove-scroll/-/react-remove-scroll-2.5.6.tgz#7510b8079e9c7eebe00e65a33daaa3aa29a10336"
- integrity sha512-bO856ad1uDYLefgArk559IzUNeQ6SWH4QnrevIUjH+GczV56giDfl3h0Idptf2oIKxQmd1p9BN25jleKodTALg==
+react-remove-scroll@^2.5.5, react-remove-scroll@^2.5.6:
+ version "2.5.7"
+ resolved "https://registry.yarnpkg.com/react-remove-scroll/-/react-remove-scroll-2.5.7.tgz#15a1fd038e8497f65a695bf26a4a57970cac1ccb"
+ integrity sha512-FnrTWO4L7/Bhhf3CYBNArEG/yROV0tKmTv7/3h9QCFvH6sndeFf1wPqOcbFVu5VAulS5dV1wGT3GZZ/1GawqiA==
dependencies:
react-remove-scroll-bar "^2.3.4"
react-style-singleton "^2.2.1"
@@ -5833,15 +5889,15 @@ react-use@^17.4.0:
ts-easing "^0.2.0"
tslib "^2.1.0"
-react-virtuoso@^4.5.0:
- version "4.5.0"
- resolved "https://registry.yarnpkg.com/react-virtuoso/-/react-virtuoso-4.5.0.tgz#0bc043b4e3e928e7891aa541dd7e55d5b46db8c8"
- integrity sha512-OMP6XrzJMMos1vbJZC16RxGW7utAxUMP7i5PNPi6epBNVH7nz+CF/DlmecNBep5wyjLud51dQ5epjb2A0w9W/Q==
+react-virtuoso@^4.6.1:
+ version "4.6.1"
+ resolved "https://registry.yarnpkg.com/react-virtuoso/-/react-virtuoso-4.6.1.tgz#b08465be4222d9820a22fbe2fefec29e91d0b048"
+ integrity sha512-dQq0yOdRjdWIYaiTvUbudqmTodGSdWGt5lVYz3mM07TTEV91yv7eL5Fn3FPEJOA36whScxPWg0GiYBIOZYEIEA==
-react-zoom-pan-pinch@^3.0.8:
- version "3.1.0"
- resolved "https://registry.yarnpkg.com/react-zoom-pan-pinch/-/react-zoom-pan-pinch-3.1.0.tgz#d87a66fd22a97f5dd56b54076411a9dce1f448cd"
- integrity sha512-a3LlP8QPgTikvteCNkZ3X6wIWC0lrg1geP5WkUJyx2MXXAhHQek3r17N1nT/esOiWGuPIECnsd9AGoK8jOeGcg==
+react-zoom-pan-pinch@^3.2.0:
+ version "3.2.0"
+ resolved "https://registry.yarnpkg.com/react-zoom-pan-pinch/-/react-zoom-pan-pinch-3.2.0.tgz#6ce7d014a8dc4aa62ce83ca57f85e76cf2e934b8"
+ integrity sha512-7MS0wYWoXjr6PrmpgHOVpVyNQr9gj7LEr4xIvq6lBy62nuNwjdI1r+XxahQ0SDHhWrLuSF11e2PTL/YLengYyg==
react@^18.2.0:
version "18.2.0"
@@ -5850,17 +5906,17 @@ react@^18.2.0:
dependencies:
loose-envify "^1.1.0"
-reactflow@^11.8.3:
- version "11.8.3"
- resolved "https://registry.yarnpkg.com/reactflow/-/reactflow-11.8.3.tgz#ad5cdf22408298956c92ab652929ff92206af9dc"
- integrity sha512-wuVxJOFqi1vhA4WAEJLK0JWx2TsTiWpxTXTRp/wvpqKInQgQcB49I2QNyNYsKJCQ6jjXektS7H+LXoaVK/pG4A==
+reactflow@^11.9.3:
+ version "11.9.3"
+ resolved "https://registry.yarnpkg.com/reactflow/-/reactflow-11.9.3.tgz#4723774370ff87403c574bdec43c93e809165854"
+ integrity sha512-GiIo20Vgy1U4h1NlLyQChWYgsl2OQkEgKHjokyQsdmm1nidywTr0n94O6w97ixLljKzJynTMjDdWP0p8xkq6NQ==
dependencies:
- "@reactflow/background" "11.2.8"
- "@reactflow/controls" "11.1.19"
- "@reactflow/core" "11.8.3"
- "@reactflow/minimap" "11.6.3"
- "@reactflow/node-resizer" "2.1.5"
- "@reactflow/node-toolbar" "1.2.7"
+ "@reactflow/background" "11.3.3"
+ "@reactflow/controls" "11.2.3"
+ "@reactflow/core" "11.9.3"
+ "@reactflow/minimap" "11.7.3"
+ "@reactflow/node-resizer" "2.2.3"
+ "@reactflow/node-toolbar" "1.3.3"
readable-stream@^3.4.0:
version "3.6.2"
@@ -5883,10 +5939,10 @@ redux-dynamic-middlewares@^2.2.0:
resolved "https://registry.yarnpkg.com/redux-dynamic-middlewares/-/redux-dynamic-middlewares-2.2.0.tgz#6835dd6d4f2fd975266376b45dcae0141320ae97"
integrity sha512-GHESQC+Y0PV98ZBoaC6br6cDOsNiM1Cu4UleGMqMWCXX03jIr3BoozYVrRkLVVAl4sC216chakMnZOu6SwNdGA==
-redux-remember@^4.0.1:
- version "4.0.1"
- resolved "https://registry.yarnpkg.com/redux-remember/-/redux-remember-4.0.1.tgz#fae416d140a9dccdf84285b957e7062934a337fb"
- integrity sha512-mP/EWdBVKg0bJfe3srzofp5sNSmWBLjKX+JzJC7J+DBjbLaxTCsLXVq1fnE4rcHXb9Sz/4u5qZ040I/ZhKzjLw==
+redux-remember@^4.0.4:
+ version "4.0.4"
+ resolved "https://registry.yarnpkg.com/redux-remember/-/redux-remember-4.0.4.tgz#ca0b583088fdb1ff6d917c88ae80bb83001627de"
+ integrity sha512-a1T+UMYTa08Uq0YtCp0j5Z7v5yydbePPgfu4iAZ21Uk4ozcFfT/PoB9PwETFhHRxBW4Ij0yWPfPJw3mIE/CXlw==
redux-thunk@^2.4.2:
version "2.4.2"
@@ -5917,6 +5973,11 @@ regenerator-runtime@^0.13.11:
resolved "https://registry.yarnpkg.com/regenerator-runtime/-/regenerator-runtime-0.13.11.tgz#f6dca3e7ceec20590d07ada785636a90cdca17f9"
integrity sha512-kY1AZVr2Ra+t+piVaJ4gxaFaReZVH40AKNo7UCX6W+dEwBo/2oZJzqfuN1qLq1oL45o56cPaTXELwrTh8Fpggg==
+regenerator-runtime@^0.14.0:
+ version "0.14.0"
+ resolved "https://registry.yarnpkg.com/regenerator-runtime/-/regenerator-runtime-0.14.0.tgz#5e19d68eb12d486f797e15a3c6a918f7cec5eb45"
+ integrity sha512-srw17NI0TUWHuGa5CFGGmhfNIeja30WMBfbslPNhf6JrqQlLN5gcrvig1oqPxiVaXb0oW0XRKtH6Nngs5lKCIA==
+
regexp.prototype.flags@^1.4.3, regexp.prototype.flags@^1.5.0:
version "1.5.0"
resolved "https://registry.yarnpkg.com/regexp.prototype.flags/-/regexp.prototype.flags-1.5.0.tgz#fe7ce25e7e4cca8db37b6634c8a2c7009199b9cb"
@@ -6169,10 +6230,10 @@ semver@^7.3.5, semver@^7.3.7, semver@^7.3.8, semver@^7.5.3, semver@^7.5.4, semve
dependencies:
lru-cache "^6.0.0"
-serialize-error@^11.0.1:
- version "11.0.1"
- resolved "https://registry.yarnpkg.com/serialize-error/-/serialize-error-11.0.1.tgz#7cfa2b54f7aca3e4cbfc0137259d94d93793f813"
- integrity sha512-B5yw3/Lg+Daspbs0f+iO3Qim0+lALnaLS8aZUAy8Y0tO92tkOoMEuwtKo4jpZ5XO16CTwMi4tYN8cZQI3QF2Qw==
+serialize-error@^11.0.2:
+ version "11.0.2"
+ resolved "https://registry.yarnpkg.com/serialize-error/-/serialize-error-11.0.2.tgz#8c1a44f0ab872ee2c3ca6736ca5c750003bc1d04"
+ integrity sha512-o43i0jLcA0LXA5Uu+gI1Vj+lF66KR9IAcy0ThbGq1bAMPN+k5IgSHsulfnqf/ddKAz6dWf+k8PD5hAr9oCSHEQ==
dependencies:
type-fest "^2.12.2"
@@ -6212,6 +6273,11 @@ signal-exit@^3.0.2, signal-exit@^3.0.3, signal-exit@^3.0.7:
resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-3.0.7.tgz#a9a1767f8af84155114eaabd73f99273c8f59ad9"
integrity sha512-wnD2ZE+l+SPC/uoS0vXeE9L1+0wuaMqKlfz9AMUo38JsyLSBWSFcHR1Rri62LZc12vLr1gb3jl7iwQhgwpAbGQ==
+signal-exit@^4.1.0:
+ version "4.1.0"
+ resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
+ integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==
+
slash@^2.0.0:
version "2.0.0"
resolved "https://registry.yarnpkg.com/slash/-/slash-2.0.0.tgz#de552851a1759df3a8f206535442f5ec4ddeab44"
@@ -6629,20 +6695,20 @@ tslib@^1.8.1:
resolved "https://registry.yarnpkg.com/tslib/-/tslib-1.14.1.tgz#cf2d38bdc34a134bcaf1091c41f6619e2f672d00"
integrity sha512-Xni35NKzjgMrwevysHTCArtLDpPvye8zV/0E4EyYn43P7/7qvQwPh9BGkHewbMulVntbigmcT7rdX3BNo9wRJg==
-tslib@^2.0.0, tslib@^2.1.0, tslib@^2.4.0:
- version "2.6.0"
- resolved "https://registry.yarnpkg.com/tslib/-/tslib-2.6.0.tgz#b295854684dbda164e181d259a22cd779dcd7bc3"
- integrity sha512-7At1WUettjcSRHXCyYtTselblcHl9PJFFVKiCAy/bY97+BPZXSQ2wbq0P9s8tK2G7dFQfNnlJnPAiArVBVBsfA==
+tslib@^2.0.0, tslib@^2.1.0, tslib@^2.5.0, tslib@^2.6.0:
+ version "2.6.2"
+ resolved "https://registry.yarnpkg.com/tslib/-/tslib-2.6.2.tgz#703ac29425e7b37cd6fd456e92404d46d1f3e4ae"
+ integrity sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q==
tslib@^2.0.3:
version "2.6.1"
resolved "https://registry.yarnpkg.com/tslib/-/tslib-2.6.1.tgz#fd8c9a0ff42590b25703c0acb3de3d3f4ede0410"
integrity sha512-t0hLfiEKfMUoqhG+U1oid7Pva4bbDPHYfJNiB7BiIjRkj1pyC++4N3huJfqY6aRH6VTB0rvtzQwjM4K6qpfOig==
-tslib@^2.5.0, tslib@^2.6.0:
- version "2.6.2"
- resolved "https://registry.yarnpkg.com/tslib/-/tslib-2.6.2.tgz#703ac29425e7b37cd6fd456e92404d46d1f3e4ae"
- integrity sha512-AEYxH93jGFPn/a2iVAwW87VuUIkR1FVUKB77NwMF7nBTDkDrrT/Hpt/IrCJ0QXhW27jTBDcf5ZY7w6RiqTMw2Q==
+tslib@^2.4.0:
+ version "2.6.0"
+ resolved "https://registry.yarnpkg.com/tslib/-/tslib-2.6.0.tgz#b295854684dbda164e181d259a22cd779dcd7bc3"
+ integrity sha512-7At1WUettjcSRHXCyYtTselblcHl9PJFFVKiCAy/bY97+BPZXSQ2wbq0P9s8tK2G7dFQfNnlJnPAiArVBVBsfA==
tsutils@^3.21.0:
version "3.21.0"
@@ -6673,10 +6739,10 @@ type-fest@^2.12.2:
resolved "https://registry.yarnpkg.com/type-fest/-/type-fest-2.19.0.tgz#88068015bb33036a598b952e55e9311a60fd3a9b"
integrity sha512-RAH822pAdBgcNMAfWnCBU3CFZcfZ/i1eZjwFU/dsLKumyuuP3niueg2UAukXYF0E2AAoc82ZSSf9J0WQBinzHA==
-type-fest@^4.2.0:
- version "4.2.0"
- resolved "https://registry.yarnpkg.com/type-fest/-/type-fest-4.2.0.tgz#e259430307710e77721ecf6f545840acad72195f"
- integrity sha512-5zknd7Dss75pMSED270A1RQS3KloqRJA9XbXLe0eCxyw7xXFb3rd+9B0UQ/0E+LQT6lnrLviEolYORlRWamn4w==
+type-fest@^4.4.0:
+ version "4.4.0"
+ resolved "https://registry.yarnpkg.com/type-fest/-/type-fest-4.4.0.tgz#061cd10ff55664bb7174218cdf78c28c48f71c69"
+ integrity sha512-HT3RRs7sTfY22KuPQJkD/XjbTbxgP2Je5HPt6H6JEGvcjHd5Lqru75EbrP3tb4FYjNJ+DjLp+MNQTFQU0mhXNw==
typed-array-buffer@^1.0.0:
version "1.0.0"
@@ -6747,6 +6813,11 @@ unbox-primitive@^1.0.2:
has-symbols "^1.0.3"
which-boxed-primitive "^1.0.2"
+undici-types@~5.25.1:
+ version "5.25.3"
+ resolved "https://registry.yarnpkg.com/undici-types/-/undici-types-5.25.3.tgz#e044115914c85f0bcbb229f346ab739f064998c3"
+ integrity sha512-Ga1jfYwRn7+cP9v8auvEXN1rX3sWqlayd4HP7OKk4mZWylEmu3KzXDUGrQUN6Ol7qo1gPvB2e5gX6udnyEPgdA==
+
undici@^5.23.0:
version "5.23.0"
resolved "https://registry.yarnpkg.com/undici/-/undici-5.23.0.tgz#e7bdb0ed42cebe7b7aca87ced53e6eaafb8f8ca0"
@@ -6833,10 +6904,10 @@ util-deprecate@^1.0.1:
resolved "https://registry.yarnpkg.com/util-deprecate/-/util-deprecate-1.0.2.tgz#450d4dc9fa70de732762fbd2d4a28981419a0ccf"
integrity sha512-EPD5q1uXyFxJpCrLnCc1nHnq3gOa6DZBocAIiI2TaSCA7VCJ1UJDMagCzIkXNsUYfD1daK//LTEQ8xiIbrHtcw==
-uuid@^9.0.0:
- version "9.0.0"
- resolved "https://registry.yarnpkg.com/uuid/-/uuid-9.0.0.tgz#592f550650024a38ceb0c562f2f6aa435761efb5"
- integrity sha512-MXcSTerfPa4uqyzStbRoTgt5XIe3x5+42+q1sDuy3R5MDk66URdLMOZe5aPX/SQd+kuYAh0FdP/pO28IkQyTeg==
+uuid@^9.0.1:
+ version "9.0.1"
+ resolved "https://registry.yarnpkg.com/uuid/-/uuid-9.0.1.tgz#e188d4c8853cc722220392c424cd637f32293f30"
+ integrity sha512-b+1eJOlsR9K8HJpow9Ok3fiWOWSIcIzXodvv0rQjVoOVNpWMpxf1wZNpt4y9h10odCNrqnYp1OBzRktckBe3sA==
validator@^13.7.0:
version "13.9.0"
@@ -6848,12 +6919,12 @@ vite-plugin-css-injected-by-js@^3.3.0:
resolved "https://registry.yarnpkg.com/vite-plugin-css-injected-by-js/-/vite-plugin-css-injected-by-js-3.3.0.tgz#c19480a9e42a95c5bced976a9dde1446f9bd91ff"
integrity sha512-xG+jyHNCmUqi/TXp6q88wTJGeAOrNLSyUUTp4qEQ9QZLGcHWQQsCsSSKa59rPMQr8sOzfzmWDd8enGqfH/dBew==
-vite-plugin-dts@^3.5.2:
- version "3.5.2"
- resolved "https://registry.yarnpkg.com/vite-plugin-dts/-/vite-plugin-dts-3.5.2.tgz#429612f727f1bf4eff1f22e29c04b52a75d398b8"
- integrity sha512-iKc851+jdHEoN1ifbOEsoMs+/Zg26PE1EyO2Jc+4apOWRoaeK2zRJnaStgUuJaVaEcAjTqWzpNgCAMq7iO6DWA==
+vite-plugin-dts@^3.6.0:
+ version "3.6.0"
+ resolved "https://registry.yarnpkg.com/vite-plugin-dts/-/vite-plugin-dts-3.6.0.tgz#8d1052e93ae4efef1b0860e44411570a58c77517"
+ integrity sha512-doxhDRFJCZD2sGjIp4V800nm8Y19GvmwckjG5vYPuiqJ7OBjc9NlW1Vp9Gkyh2aXlUs1jTDRH/lxWfcsPLOQHg==
dependencies:
- "@microsoft/api-extractor" "^7.36.3"
+ "@microsoft/api-extractor" "^7.36.4"
"@rollup/pluginutils" "^5.0.2"
"@vue/language-core" "^1.8.8"
debug "^4.3.4"
@@ -6869,19 +6940,19 @@ vite-plugin-eslint@^1.8.1:
"@types/eslint" "^8.4.5"
rollup "^2.77.2"
-vite-tsconfig-paths@^4.2.0:
- version "4.2.0"
- resolved "https://registry.yarnpkg.com/vite-tsconfig-paths/-/vite-tsconfig-paths-4.2.0.tgz#bd2647d3eadafb65a10fc98a2ca565211f2eaf63"
- integrity sha512-jGpus0eUy5qbbMVGiTxCL1iB9ZGN6Bd37VGLJU39kTDD6ZfULTTb1bcc5IeTWqWJKiWV5YihCaibeASPiGi8kw==
+vite-tsconfig-paths@^4.2.1:
+ version "4.2.1"
+ resolved "https://registry.yarnpkg.com/vite-tsconfig-paths/-/vite-tsconfig-paths-4.2.1.tgz#e53b89096b91d31a6d1e26f75999ea8c336a89ed"
+ integrity sha512-GNUI6ZgPqT3oervkvzU+qtys83+75N/OuDaQl7HmOqFTb0pjZsuARrRipsyJhJ3enqV8beI1xhGbToR4o78nSQ==
dependencies:
debug "^4.1.1"
globrex "^0.1.2"
tsconfck "^2.1.0"
-vite@^4.4.9:
- version "4.4.9"
- resolved "https://registry.yarnpkg.com/vite/-/vite-4.4.9.tgz#1402423f1a2f8d66fd8d15e351127c7236d29d3d"
- integrity sha512-2mbUn2LlUmNASWwSCNSJ/EG2HuSRTnVNaydp6vMCm5VIqJsjMfbIWtbH2kDuwUVW5mMUKKZvGPX/rqeqVvv1XA==
+vite@^4.4.11:
+ version "4.4.11"
+ resolved "https://registry.yarnpkg.com/vite/-/vite-4.4.11.tgz#babdb055b08c69cfc4c468072a2e6c9ca62102b0"
+ integrity sha512-ksNZJlkcU9b0lBwAGZGGaZHCMqHsc8OpgtoYhsQ4/I2v5cnpmmmqe5pM4nv/4Hn6G/2GhTdj0DhZh2e+Er1q5A==
dependencies:
esbuild "^0.18.10"
postcss "^8.4.27"
@@ -7036,16 +7107,21 @@ yallist@^4.0.0:
resolved "https://registry.yarnpkg.com/yallist/-/yallist-4.0.0.tgz#9bb92790d9c0effec63be73519e11a35019a3a72"
integrity sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==
-yaml@2.3.1, yaml@^2.2.2:
- version "2.3.1"
- resolved "https://registry.yarnpkg.com/yaml/-/yaml-2.3.1.tgz#02fe0975d23cd441242aa7204e09fc28ac2ac33b"
- integrity sha512-2eHWfjaoXgTBC2jNM1LRef62VQa0umtvRiDSk6HSzW7RvS5YtkabJrwYLLEKWBc8a5U2PTSCs+dJjUTJdlHsWQ==
+yaml@2.3.2:
+ version "2.3.2"
+ resolved "https://registry.yarnpkg.com/yaml/-/yaml-2.3.2.tgz#f522db4313c671a0ca963a75670f1c12ea909144"
+ integrity sha512-N/lyzTPaJasoDmfV7YTrYCI0G/3ivm/9wdG0aHuheKowWQwGTsK0Eoiw6utmzAnI6pkJa0DUVygvp3spqqEKXg==
yaml@^1.10.0:
version "1.10.2"
resolved "https://registry.yarnpkg.com/yaml/-/yaml-1.10.2.tgz#2301c5ffbf12b467de8da2333a459e29e7920e4b"
integrity sha512-r3vXyErRCYJ7wg28yvBY5VSoAF8ZvlcW9/BwUzEtUsjvX/DKs24dIkuwjtuprwJJHsbyUbLApepYTR1BN4uHrg==
+yaml@^2.2.2:
+ version "2.3.1"
+ resolved "https://registry.yarnpkg.com/yaml/-/yaml-2.3.1.tgz#02fe0975d23cd441242aa7204e09fc28ac2ac33b"
+ integrity sha512-2eHWfjaoXgTBC2jNM1LRef62VQa0umtvRiDSk6HSzW7RvS5YtkabJrwYLLEKWBc8a5U2PTSCs+dJjUTJdlHsWQ==
+
yargs-parser@^21.1.1:
version "21.1.1"
resolved "https://registry.yarnpkg.com/yargs-parser/-/yargs-parser-21.1.1.tgz#9096bceebf990d21bb31fa9516e0ede294a77d35"
@@ -7090,10 +7166,10 @@ zod-validation-error@^1.5.0:
resolved "https://registry.yarnpkg.com/zod-validation-error/-/zod-validation-error-1.5.0.tgz#2b355007a1c3b7fb04fa476bfad4e7b3fd5491e3"
integrity sha512-/7eFkAI4qV0tcxMBB/3+d2c1P6jzzZYdYSlBuAklzMuCrJu5bzJfHS0yVAS87dRHVlhftd6RFJDIvv03JgkSbw==
-zod@^3.22.2:
- version "3.22.2"
- resolved "https://registry.yarnpkg.com/zod/-/zod-3.22.2.tgz#3add8c682b7077c05ac6f979fea6998b573e157b"
- integrity sha512-wvWkphh5WQsJbVk1tbx1l1Ly4yg+XecD+Mq280uBGt9wa5BKSWf4Mhp6GmrkPixhMxmabYY7RbzlwVP32pbGCg==
+zod@^3.22.4:
+ version "3.22.4"
+ resolved "https://registry.yarnpkg.com/zod/-/zod-3.22.4.tgz#f31c3a9386f61b1f228af56faa9255e845cf3fff"
+ integrity sha512-iC+8Io04lddc+mVqQ9AZ7OQ2MrUKGN+oIQyq1vemgt46jwCwLfhq7/pwnBnNXXXZb8VTVLKwp9EDkx+ryxIWmg==
zustand@^4.4.1:
version "4.4.1"
diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py
index 11731085c0..88c513ea36 100644
--- a/invokeai/version/invokeai_version.py
+++ b/invokeai/version/invokeai_version.py
@@ -1 +1 @@
-__version__ = "3.2.0"
+__version__ = "3.3.0"
diff --git a/pyproject.toml b/pyproject.toml
index f4bbf01102..03fc45c5dc 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -35,30 +35,33 @@ dependencies = [
"accelerate~=0.23.0",
"albumentations",
"click",
- "clip_anytorch", # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip",
+ "clip_anytorch", # replacing "clip @ https://github.com/openai/CLIP/archive/eaa22acb90a5876642d0507623e859909230a52d.zip",
"compel~=2.0.2",
"controlnet-aux>=0.0.6",
- "timm==0.6.13", # needed to override timm latest in controlnet_aux, see https://github.com/isl-org/ZoeDepth/issues/26
+ "timm==0.6.13", # needed to override timm latest in controlnet_aux, see https://github.com/isl-org/ZoeDepth/issues/26
"datasets",
+ # When bumping diffusers beyond 0.21, make sure to address this:
+ # https://github.com/invoke-ai/InvokeAI/blob/fc09ab7e13cb7ca5389100d149b6422ace7b8ed3/invokeai/app/invocations/latent.py#L513
"diffusers[torch]~=0.21.0",
"dnspython~=2.4.0",
"dynamicprompts",
"easing-functions",
"einops",
"facexlib",
- "fastapi==0.88.0",
- "fastapi-events==0.8.0",
+ "fastapi~=0.103.2",
+ "fastapi-events~=0.9.1",
"huggingface-hub~=0.16.4",
- "invisible-watermark~=0.2.0", # needed to install SDXL base and refiner using their repo_ids
- "matplotlib", # needed for plotting of Penner easing functions
- "mediapipe", # needed for "mediapipeface" controlnet model
+ "invisible-watermark~=0.2.0", # needed to install SDXL base and refiner using their repo_ids
+ "matplotlib", # needed for plotting of Penner easing functions
+ "mediapipe", # needed for "mediapipeface" controlnet model
"numpy",
"npyscreen",
"omegaconf",
"onnx",
"onnxruntime",
"opencv-python",
- "pydantic==1.*",
+ "pydantic~=2.4.2",
+ "pydantic-settings~=2.0.3",
"picklescan",
"pillow",
"prompt-toolkit",
@@ -67,12 +70,12 @@ dependencies = [
'pyperclip',
"pyreadline3",
"python-multipart",
- "python-socketio",
+ "python-socketio~=5.10.0",
"pytorch-lightning",
"realesrgan",
"requests~=2.28.2",
"rich~=13.3",
- "safetensors~=0.3.1",
+ "safetensors~=0.4.0",
"scikit-image~=0.21.0",
"semver~=3.0.1",
"send2trash",
@@ -93,33 +96,25 @@ dependencies = [
"mkdocs-git-revision-date-localized-plugin",
"mkdocs-redirects==1.2.0",
]
-"dev" = [
- "jurigged",
- "pudb",
-]
+"dev" = ["jurigged", "pudb"]
"test" = [
"black",
"flake8",
"Flake8-pyproject",
"isort",
+ "mypy",
"pre-commit",
"pytest>6.0.0",
"pytest-cov",
"pytest-datadir",
]
"xformers" = [
- "xformers~=0.0.19; sys_platform!='darwin'",
- "triton; sys_platform=='linux'",
-]
-"onnx" = [
- "onnxruntime",
-]
-"onnx-cuda" = [
- "onnxruntime-gpu",
-]
-"onnx-directml" = [
- "onnxruntime-directml",
+ "xformers~=0.0.19; sys_platform!='darwin'",
+ "triton; sys_platform=='linux'",
]
+"onnx" = ["onnxruntime"]
+"onnx-cuda" = ["onnxruntime-gpu"]
+"onnx-directml" = ["onnxruntime-directml"]
[project.scripts]
@@ -161,12 +156,15 @@ version = { attr = "invokeai.version.__version__" }
[tool.setuptools.packages.find]
"where" = ["."]
"include" = [
- "invokeai.assets.fonts*","invokeai.version*",
- "invokeai.generator*","invokeai.backend*",
- "invokeai.frontend*", "invokeai.frontend.web.dist*",
- "invokeai.frontend.web.static*",
- "invokeai.configs*",
- "invokeai.app*",
+ "invokeai.assets.fonts*",
+ "invokeai.version*",
+ "invokeai.generator*",
+ "invokeai.backend*",
+ "invokeai.frontend*",
+ "invokeai.frontend.web.dist*",
+ "invokeai.frontend.web.static*",
+ "invokeai.configs*",
+ "invokeai.app*",
]
[tool.setuptools.package-data]
@@ -180,7 +178,7 @@ version = { attr = "invokeai.version.__version__" }
[tool.pytest.ini_options]
addopts = "--cov-report term --cov-report html --cov-report xml --strict-markers -m \"not slow\""
markers = [
- "slow: Marks tests as slow. Disabled by default. To run all tests, use -m \"\". To run only slow tests, use -m \"slow\"."
+ "slow: Marks tests as slow. Disabled by default. To run all tests, use -m \"\". To run only slow tests, use -m \"slow\".",
]
[tool.coverage.run]
branch = true
@@ -188,7 +186,7 @@ source = ["invokeai"]
omit = ["*tests*", "*migrations*", ".venv/*", "*.env"]
[tool.coverage.report]
show_missing = true
-fail_under = 85 # let's set something sensible on Day 1 ...
+fail_under = 85 # let's set something sensible on Day 1 ...
[tool.coverage.json]
output = "coverage/coverage.json"
pretty_print = true
@@ -207,7 +205,7 @@ exclude = [
"__pycache__",
"build",
"dist",
- "invokeai/frontend/web/node_modules/"
+ "invokeai/frontend/web/node_modules/",
]
[tool.black]
@@ -216,3 +214,53 @@ line-length = 120
[tool.isort]
profile = "black"
line_length = 120
+
+[tool.mypy]
+ignore_missing_imports = true # ignores missing types in third-party libraries
+
+[[tool.mypy.overrides]]
+follow_imports = "skip"
+module = [
+ "invokeai.app.api.routers.models",
+ "invokeai.app.invocations.compel",
+ "invokeai.app.invocations.latent",
+ "invokeai.app.services.config.config_base",
+ "invokeai.app.services.config.config_default",
+ "invokeai.app.services.invocation_stats.invocation_stats_default",
+ "invokeai.app.services.model_manager.model_manager_base",
+ "invokeai.app.services.model_manager.model_manager_default",
+ "invokeai.app.util.controlnet_utils",
+ "invokeai.backend.image_util.txt2mask",
+ "invokeai.backend.image_util.safety_checker",
+ "invokeai.backend.image_util.patchmatch",
+ "invokeai.backend.image_util.invisible_watermark",
+ "invokeai.backend.install.model_install_backend",
+ "invokeai.backend.ip_adapter.ip_adapter",
+ "invokeai.backend.ip_adapter.resampler",
+ "invokeai.backend.ip_adapter.unet_patcher",
+ "invokeai.backend.model_management.convert_ckpt_to_diffusers",
+ "invokeai.backend.model_management.lora",
+ "invokeai.backend.model_management.model_cache",
+ "invokeai.backend.model_management.model_manager",
+ "invokeai.backend.model_management.model_merge",
+ "invokeai.backend.model_management.model_probe",
+ "invokeai.backend.model_management.model_search",
+ "invokeai.backend.model_management.models.*", # this is needed to ignore the module's `__init__.py`
+ "invokeai.backend.model_management.models.base",
+ "invokeai.backend.model_management.models.controlnet",
+ "invokeai.backend.model_management.models.ip_adapter",
+ "invokeai.backend.model_management.models.lora",
+ "invokeai.backend.model_management.models.sdxl",
+ "invokeai.backend.model_management.models.stable_diffusion",
+ "invokeai.backend.model_management.models.vae",
+ "invokeai.backend.model_management.seamless",
+ "invokeai.backend.model_management.util",
+ "invokeai.backend.stable_diffusion.diffusers_pipeline",
+ "invokeai.backend.stable_diffusion.diffusion.cross_attention_control",
+ "invokeai.backend.stable_diffusion.diffusion.shared_invokeai_diffusion",
+ "invokeai.backend.util.hotfixes",
+ "invokeai.backend.util.logging",
+ "invokeai.backend.util.mps_fixes",
+ "invokeai.backend.util.util",
+ "invokeai.frontend.install.model_install",
+]
diff --git a/tests/backend/model_management/test_libc_util.py b/tests/backend/model_management/test_libc_util.py
index a517db4c90..e13a2fd3a2 100644
--- a/tests/backend/model_management/test_libc_util.py
+++ b/tests/backend/model_management/test_libc_util.py
@@ -11,7 +11,10 @@ def test_libc_util_mallinfo2():
# TODO: Set the expected result preemptively based on the system properties.
pytest.xfail("libc shared library is not available on this system.")
- info = libc.mallinfo2()
+ try:
+ info = libc.mallinfo2()
+ except AttributeError:
+ pytest.xfail("`mallinfo2` is not available on this system, likely due to glibc < 2.33.")
assert info.arena > 0
diff --git a/tests/nodes/test_graph_execution_state.py b/tests/nodes/test_graph_execution_state.py
index e43075bd32..27b8a58bea 100644
--- a/tests/nodes/test_graph_execution_state.py
+++ b/tests/nodes/test_graph_execution_state.py
@@ -1,5 +1,4 @@
import logging
-import threading
import pytest
@@ -10,20 +9,27 @@ from .test_nodes import ( # isort: split
TestEventService,
TextToImageTestInvocation,
)
-import sqlite3
from invokeai.app.invocations.baseinvocation import BaseInvocation, BaseInvocationOutput, InvocationContext
from invokeai.app.invocations.collections import RangeInvocation
from invokeai.app.invocations.math import AddInvocation, MultiplyInvocation
-from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig
-from invokeai.app.services.graph import CollectInvocation, Graph, GraphExecutionState, IterateInvocation, LibraryGraph
+from invokeai.app.services.config.config_default import InvokeAIAppConfig
from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
-from invokeai.app.services.invocation_queue import MemoryInvocationQueue
+from invokeai.app.services.invocation_processor.invocation_processor_default import DefaultInvocationProcessor
+from invokeai.app.services.invocation_queue.invocation_queue_memory import MemoryInvocationQueue
from invokeai.app.services.invocation_services import InvocationServices
-from invokeai.app.services.invocation_stats import InvocationStatsService
-from invokeai.app.services.processor import DefaultInvocationProcessor
+from invokeai.app.services.invocation_stats.invocation_stats_default import InvocationStatsService
+from invokeai.app.services.item_storage.item_storage_sqlite import SqliteItemStorage
from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID
-from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
+from invokeai.app.services.shared.graph import (
+ CollectInvocation,
+ Graph,
+ GraphExecutionState,
+ IterateInvocation,
+ LibraryGraph,
+)
+from invokeai.app.services.shared.sqlite import SqliteDatabase
+from invokeai.backend.util.logging import InvokeAILogger
from .test_invoker import create_edge
@@ -42,29 +48,33 @@ def simple_graph():
# the test invocations.
@pytest.fixture
def mock_services() -> InvocationServices:
- lock = threading.Lock()
+ configuration = InvokeAIAppConfig(use_memory_db=True, node_cache_size=0)
+ db = SqliteDatabase(configuration, InvokeAILogger.get_logger())
# NOTE: none of these are actually called by the test invocations
- db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False)
- graph_execution_manager = SqliteItemStorage[GraphExecutionState](
- conn=db_conn, table_name="graph_executions", lock=lock
- )
+ graph_execution_manager = SqliteItemStorage[GraphExecutionState](db=db, table_name="graph_executions")
return InvocationServices(
- model_manager=None, # type: ignore
- events=TestEventService(),
- logger=logging, # type: ignore
- images=None, # type: ignore
- latents=None, # type: ignore
- boards=None, # type: ignore
+ board_image_records=None, # type: ignore
board_images=None, # type: ignore
- queue=MemoryInvocationQueue(),
- graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs", lock=lock),
+ board_records=None, # type: ignore
+ boards=None, # type: ignore
+ configuration=configuration,
+ events=TestEventService(),
graph_execution_manager=graph_execution_manager,
- performance_statistics=InvocationStatsService(graph_execution_manager),
+ graph_library=SqliteItemStorage[LibraryGraph](db=db, table_name="graphs"),
+ image_files=None, # type: ignore
+ image_records=None, # type: ignore
+ images=None, # type: ignore
+ invocation_cache=MemoryInvocationCache(max_cache_size=0),
+ latents=None, # type: ignore
+ logger=logging, # type: ignore
+ model_manager=None, # type: ignore
+ names=None, # type: ignore
+ performance_statistics=InvocationStatsService(),
processor=DefaultInvocationProcessor(),
- configuration=InvokeAIAppConfig(node_cache_size=0), # type: ignore
- session_queue=None, # type: ignore
+ queue=MemoryInvocationQueue(),
session_processor=None, # type: ignore
- invocation_cache=MemoryInvocationCache(), # type: ignore
+ session_queue=None, # type: ignore
+ urls=None, # type: ignore
)
diff --git a/tests/nodes/test_invoker.py b/tests/nodes/test_invoker.py
index 7c636c3eca..105f7417cd 100644
--- a/tests/nodes/test_invoker.py
+++ b/tests/nodes/test_invoker.py
@@ -1,10 +1,9 @@
import logging
-import sqlite3
-import threading
import pytest
-from invokeai.app.services.config.invokeai_config import InvokeAIAppConfig
+from invokeai.app.services.config.config_default import InvokeAIAppConfig
+from invokeai.backend.util.logging import InvokeAILogger
# This import must happen before other invoke imports or test in other files(!!) break
from .test_nodes import ( # isort: split
@@ -16,15 +15,16 @@ from .test_nodes import ( # isort: split
wait_until,
)
-from invokeai.app.services.graph import Graph, GraphExecutionState, GraphInvocation, LibraryGraph
from invokeai.app.services.invocation_cache.invocation_cache_memory import MemoryInvocationCache
-from invokeai.app.services.invocation_queue import MemoryInvocationQueue
+from invokeai.app.services.invocation_processor.invocation_processor_default import DefaultInvocationProcessor
+from invokeai.app.services.invocation_queue.invocation_queue_memory import MemoryInvocationQueue
from invokeai.app.services.invocation_services import InvocationServices
-from invokeai.app.services.invocation_stats import InvocationStatsService
+from invokeai.app.services.invocation_stats.invocation_stats_default import InvocationStatsService
from invokeai.app.services.invoker import Invoker
-from invokeai.app.services.processor import DefaultInvocationProcessor
+from invokeai.app.services.item_storage.item_storage_sqlite import SqliteItemStorage
from invokeai.app.services.session_queue.session_queue_common import DEFAULT_QUEUE_ID
-from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
+from invokeai.app.services.shared.graph import Graph, GraphExecutionState, GraphInvocation, LibraryGraph
+from invokeai.app.services.shared.sqlite import SqliteDatabase
@pytest.fixture
@@ -52,29 +52,34 @@ def graph_with_subgraph():
# the test invocations.
@pytest.fixture
def mock_services() -> InvocationServices:
- lock = threading.Lock()
+ db = SqliteDatabase(InvokeAIAppConfig(use_memory_db=True), InvokeAILogger.get_logger())
+ configuration = InvokeAIAppConfig(use_memory_db=True, node_cache_size=0)
+
# NOTE: none of these are actually called by the test invocations
- db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False)
- graph_execution_manager = SqliteItemStorage[GraphExecutionState](
- conn=db_conn, table_name="graph_executions", lock=lock
- )
+ graph_execution_manager = SqliteItemStorage[GraphExecutionState](db=db, table_name="graph_executions")
return InvocationServices(
- model_manager=None, # type: ignore
- events=TestEventService(),
- logger=logging, # type: ignore
- images=None, # type: ignore
- latents=None, # type: ignore
- boards=None, # type: ignore
+ board_image_records=None, # type: ignore
board_images=None, # type: ignore
- queue=MemoryInvocationQueue(),
- graph_library=SqliteItemStorage[LibraryGraph](conn=db_conn, table_name="graphs", lock=lock),
+ board_records=None, # type: ignore
+ boards=None, # type: ignore
+ configuration=configuration,
+ events=TestEventService(),
graph_execution_manager=graph_execution_manager,
- processor=DefaultInvocationProcessor(),
- performance_statistics=InvocationStatsService(graph_execution_manager),
- configuration=InvokeAIAppConfig(node_cache_size=0), # type: ignore
- session_queue=None, # type: ignore
- session_processor=None, # type: ignore
+ graph_library=SqliteItemStorage[LibraryGraph](db=db, table_name="graphs"),
+ image_files=None, # type: ignore
+ image_records=None, # type: ignore
+ images=None, # type: ignore
invocation_cache=MemoryInvocationCache(max_cache_size=0),
+ latents=None, # type: ignore
+ logger=logging, # type: ignore
+ model_manager=None, # type: ignore
+ names=None, # type: ignore
+ performance_statistics=InvocationStatsService(),
+ processor=DefaultInvocationProcessor(),
+ queue=MemoryInvocationQueue(),
+ session_processor=None, # type: ignore
+ session_queue=None, # type: ignore
+ urls=None, # type: ignore
)
diff --git a/tests/nodes/test_node_graph.py b/tests/nodes/test_node_graph.py
index 4793e6ffa6..3c965895f9 100644
--- a/tests/nodes/test_node_graph.py
+++ b/tests/nodes/test_node_graph.py
@@ -1,4 +1,5 @@
import pytest
+from pydantic import TypeAdapter
from invokeai.app.invocations.baseinvocation import (
BaseInvocation,
@@ -11,8 +12,8 @@ from invokeai.app.invocations.image import ShowImageInvocation
from invokeai.app.invocations.math import AddInvocation, SubtractInvocation
from invokeai.app.invocations.primitives import FloatInvocation, IntegerInvocation
from invokeai.app.invocations.upscale import ESRGANInvocation
-from invokeai.app.services.default_graphs import create_text_to_image
-from invokeai.app.services.graph import (
+from invokeai.app.services.shared.default_graphs import create_text_to_image
+from invokeai.app.services.shared.graph import (
CollectInvocation,
Edge,
EdgeConnection,
@@ -593,20 +594,21 @@ def test_graph_can_serialize():
g.add_edge(e)
# Not throwing on this line is sufficient
- _ = g.json()
+ _ = g.model_dump_json()
def test_graph_can_deserialize():
g = Graph()
n1 = TextToImageTestInvocation(id="1", prompt="Banana sushi")
- n2 = ESRGANInvocation(id="2")
+ n2 = ImageToImageTestInvocation(id="2")
g.add_node(n1)
g.add_node(n2)
e = create_edge(n1.id, "image", n2.id, "image")
g.add_edge(e)
- json = g.json()
- g2 = Graph.parse_raw(json)
+ json = g.model_dump_json()
+ adapter_graph = TypeAdapter(Graph)
+ g2 = adapter_graph.validate_json(json)
assert g2 is not None
assert g2.nodes["1"] is not None
@@ -619,7 +621,7 @@ def test_graph_can_deserialize():
def test_invocation_decorator():
- invocation_type = "test_invocation"
+ invocation_type = "test_invocation_decorator"
title = "Test Invocation"
tags = ["first", "second", "third"]
category = "category"
@@ -630,7 +632,7 @@ def test_invocation_decorator():
def invoke(self):
pass
- schema = TestInvocation.schema()
+ schema = TestInvocation.model_json_schema()
assert schema.get("title") == title
assert schema.get("tags") == tags
@@ -640,18 +642,17 @@ def test_invocation_decorator():
def test_invocation_version_must_be_semver():
- invocation_type = "test_invocation"
valid_version = "1.0.0"
invalid_version = "not_semver"
- @invocation(invocation_type, version=valid_version)
+ @invocation("test_invocation_version_valid", version=valid_version)
class ValidVersionInvocation(BaseInvocation):
def invoke(self):
pass
with pytest.raises(InvalidVersionError):
- @invocation(invocation_type, version=invalid_version)
+ @invocation("test_invocation_version_invalid", version=invalid_version)
class InvalidVersionInvocation(BaseInvocation):
def invoke(self):
pass
@@ -694,4 +695,4 @@ def test_ints_do_not_accept_floats():
def test_graph_can_generate_schema():
# Not throwing on this line is sufficient
# NOTE: if this test fails, it's PROBABLY because a new invocation type is breaking schema generation
- _ = Graph.schema_json(indent=2)
+ _ = Graph.model_json_schema()
diff --git a/tests/nodes/test_nodes.py b/tests/nodes/test_nodes.py
index 96a5040a38..471c72a005 100644
--- a/tests/nodes/test_nodes.py
+++ b/tests/nodes/test_nodes.py
@@ -82,8 +82,8 @@ class PromptCollectionTestInvocation(BaseInvocation):
# Importing these must happen after test invocations are defined or they won't register
-from invokeai.app.services.events import EventServiceBase # noqa: E402
-from invokeai.app.services.graph import Edge, EdgeConnection # noqa: E402
+from invokeai.app.services.events.events_base import EventServiceBase # noqa: E402
+from invokeai.app.services.shared.graph import Edge, EdgeConnection # noqa: E402
def create_edge(from_id: str, from_field: str, to_id: str, to_field: str) -> Edge:
diff --git a/tests/nodes/test_session_queue.py b/tests/nodes/test_session_queue.py
index f28ec1ac54..731316068c 100644
--- a/tests/nodes/test_session_queue.py
+++ b/tests/nodes/test_session_queue.py
@@ -1,7 +1,6 @@
import pytest
-from pydantic import ValidationError, parse_raw_as
+from pydantic import TypeAdapter, ValidationError
-from invokeai.app.services.graph import Graph, GraphExecutionState, GraphInvocation
from invokeai.app.services.session_queue.session_queue_common import (
Batch,
BatchDataCollection,
@@ -12,6 +11,7 @@ from invokeai.app.services.session_queue.session_queue_common import (
populate_graph,
prepare_values_to_insert,
)
+from invokeai.app.services.shared.graph import Graph, GraphExecutionState, GraphInvocation
from tests.nodes.test_nodes import PromptTestInvocation
@@ -150,8 +150,9 @@ def test_prepare_values_to_insert(batch_data_collection, batch_graph):
values = prepare_values_to_insert(queue_id="default", batch=b, priority=0, max_new_queue_items=1000)
assert len(values) == 8
+ session_adapter = TypeAdapter(GraphExecutionState)
# graph should be serialized
- ges = parse_raw_as(GraphExecutionState, values[0].session)
+ ges = session_adapter.validate_json(values[0].session)
# graph values should be populated
assert ges.graph.get_node("1").prompt == "Banana sushi"
@@ -160,15 +161,16 @@ def test_prepare_values_to_insert(batch_data_collection, batch_graph):
assert ges.graph.get_node("4").prompt == "Nissan"
# session ids should match deserialized graph
- assert [v.session_id for v in values] == [parse_raw_as(GraphExecutionState, v.session).id for v in values]
+ assert [v.session_id for v in values] == [session_adapter.validate_json(v.session).id for v in values]
# should unique session ids
sids = [v.session_id for v in values]
assert len(sids) == len(set(sids))
+ nfv_list_adapter = TypeAdapter(list[NodeFieldValue])
# should have 3 node field values
assert type(values[0].field_values) is str
- assert len(parse_raw_as(list[NodeFieldValue], values[0].field_values)) == 3
+ assert len(nfv_list_adapter.validate_json(values[0].field_values)) == 3
# should have batch id and priority
assert all(v.batch_id == b.batch_id for v in values)
diff --git a/tests/nodes/test_sqlite.py b/tests/nodes/test_sqlite.py
index 002161e917..818f9d048f 100644
--- a/tests/nodes/test_sqlite.py
+++ b/tests/nodes/test_sqlite.py
@@ -1,10 +1,10 @@
-import sqlite3
-import threading
-
import pytest
from pydantic import BaseModel, Field
-from invokeai.app.services.sqlite import SqliteItemStorage, sqlite_memory
+from invokeai.app.services.config.config_default import InvokeAIAppConfig
+from invokeai.app.services.item_storage.item_storage_sqlite import SqliteItemStorage
+from invokeai.app.services.shared.sqlite import SqliteDatabase
+from invokeai.backend.util.logging import InvokeAILogger
class TestModel(BaseModel):
@@ -14,8 +14,9 @@ class TestModel(BaseModel):
@pytest.fixture
def db() -> SqliteItemStorage[TestModel]:
- db_conn = sqlite3.connect(sqlite_memory, check_same_thread=False)
- return SqliteItemStorage[TestModel](db_conn, table_name="test", id_field="id", lock=threading.Lock())
+ sqlite_db = SqliteDatabase(InvokeAIAppConfig(use_memory_db=True), InvokeAILogger.get_logger())
+ sqlite_item_storage = SqliteItemStorage[TestModel](db=sqlite_db, table_name="test", id_field="id")
+ return sqlite_item_storage
def test_sqlite_service_can_create_and_get(db: SqliteItemStorage[TestModel]):
diff --git a/tests/test_config.py b/tests/test_config.py
index 2b2492f6a6..6d76872a0d 100644
--- a/tests/test_config.py
+++ b/tests/test_config.py
@@ -192,7 +192,7 @@ def test_deny_nodes(patch_rootdir):
# must parse config before importing Graph, so its nodes union uses the config
conf = InvokeAIAppConfig().get_config()
conf.parse_args(conf=allow_deny_nodes_conf, argv=[])
- from invokeai.app.services.graph import Graph
+ from invokeai.app.services.shared.graph import Graph
# confirm graph validation fails when using denied node
Graph(nodes={"1": {"id": "1", "type": "integer"}})
diff --git a/tests/test_model_manager.py b/tests/test_model_manager.py
index 5a28862e1f..3e48c7ed6f 100644
--- a/tests/test_model_manager.py
+++ b/tests/test_model_manager.py
@@ -2,7 +2,7 @@ from pathlib import Path
import pytest
-from invokeai.app.services.config import InvokeAIAppConfig
+from invokeai.app.services.config.config_default import InvokeAIAppConfig
from invokeai.backend import BaseModelType, ModelManager, ModelType, SubModelType
BASIC_MODEL_NAME = ("SDXL base", BaseModelType.StableDiffusionXL, ModelType.Main)