diff --git a/README.md b/README.md index f540e7be75..41de4882ee 100644 --- a/README.md +++ b/README.md @@ -12,7 +12,7 @@ Invoke is a leading creative engine built to empower professionals and enthusiasts alike. Generate and create stunning visual media using the latest AI-driven technologies. Invoke offers an industry leading web-based UI, and serves as the foundation for multiple commercial products. -[Installation][installation docs] - [Documentation and Tutorials][docs home] - [Bug Reports][github issues] - [Contributing][contributing docs] +[Installation and Updates][installation docs] - [Documentation and Tutorials][docs home] - [Bug Reports][github issues] - [Contributing][contributing docs]
diff --git a/docs/features/TRAINING.md b/docs/features/TRAINING.md index 7be9aff0f2..47f8557889 100644 --- a/docs/features/TRAINING.md +++ b/docs/features/TRAINING.md @@ -4,278 +4,6 @@ title: Training # :material-file-document: Training -# Textual Inversion Training -## **Personalizing Text-to-Image Generation** +Invoke Training has moved to its own repository, with a dedicated UI for accessing common scripts like Textual Inversion and LoRA training. -You may personalize the generated images to provide your own styles or objects -by training a new LDM checkpoint and introducing a new vocabulary to the fixed -model as a (.pt) embeddings file. Alternatively, you may use or train -HuggingFace Concepts embeddings files (.bin) from - and its associated -notebooks. - -## **Hardware and Software Requirements** - -You will need a GPU to perform training in a reasonable length of -time, and at least 12 GB of VRAM. We recommend using the [`xformers` -library](../installation/070_INSTALL_XFORMERS.md) to accelerate the -training process further. During training, about ~8 GB is temporarily -needed in order to store intermediate models, checkpoints and logs. - -## **Preparing for Training** - -To train, prepare a folder that contains 3-5 images that illustrate -the object or concept. It is good to provide a variety of examples or -poses to avoid overtraining the system. Format these images as PNG -(preferred) or JPG. You do not need to resize or crop the images in -advance, but for more control you may wish to do so. - -Place the training images in a directory on the machine InvokeAI runs -on. We recommend placing them in a subdirectory of the -`text-inversion-training-data` folder located in the InvokeAI root -directory, ordinarily `~/invokeai` (Linux/Mac), or -`C:\Users\your_name\invokeai` (Windows). For example, to create an -embedding for the "psychedelic" style, you'd place the training images -into the directory -`~invokeai/text-inversion-training-data/psychedelic`. - -## **Launching Training Using the Console Front End** - -InvokeAI 2.3 and higher comes with a text console-based training front -end. From within the `invoke.sh`/`invoke.bat` Invoke launcher script, -start training tool selecting choice (3): - -```sh -1 "Generate images with a browser-based interface" -2 "Explore InvokeAI nodes using a command-line interface" -3 "Textual inversion training" -4 "Merge models (diffusers type only)" -5 "Download and install models" -6 "Change InvokeAI startup options" -7 "Re-run the configure script to fix a broken install or to complete a major upgrade" -8 "Open the developer console" -9 "Update InvokeAI" -``` - -Alternatively, you can select option (8) or from the command line, with the InvokeAI virtual environment active, -you can then launch the front end with the command `invokeai-ti --gui`. - -This will launch a text-based front end that will look like this: - -
-![ti-frontend](../assets/textual-inversion/ti-frontend.png) -
- -The interface is keyboard-based. Move from field to field using -control-N (^N) to move to the next field and control-P (^P) to the -previous one. and work as well. Once a field is -active, use the cursor keys. In a checkbox group, use the up and down -cursor keys to move from choice to choice, and to select a -choice. In a scrollbar, use the left and right cursor keys to increase -and decrease the value of the scroll. In textfields, type the desired -values. - -The number of parameters may look intimidating, but in most cases the -predefined defaults work fine. The red circled fields in the above -illustration are the ones you will adjust most frequently. - -### Model Name - -This will list all the diffusers models that are currently -installed. Select the one you wish to use as the basis for your -embedding. Be aware that if you use a SD-1.X-based model for your -training, you will only be able to use this embedding with other -SD-1.X-based models. Similarly, if you train on SD-2.X, you will only -be able to use the embeddings with models based on SD-2.X. - -### Trigger Term - -This is the prompt term you will use to trigger the embedding. Type a -single word or phrase you wish to use as the trigger, example -"psychedelic" (without angle brackets). Within InvokeAI, you will then -be able to activate the trigger using the syntax ``. - -### Initializer - -This is a single character that is used internally during the training -process as a placeholder for the trigger term. It defaults to "*" and -can usually be left alone. - -### Resume from last saved checkpoint - -As training proceeds, textual inversion will write a series of -intermediate files that can be used to resume training from where it -was left off in the case of an interruption. This checkbox will be -automatically selected if you provide a previously used trigger term -and at least one checkpoint file is found on disk. - -Note that as of 20 January 2023, resume does not seem to be working -properly due to an issue with the upstream code. - -### Data Training Directory - -This is the location of the images to be used for training. When you -select a trigger term like "my-trigger", the frontend will prepopulate -this field with `~/invokeai/text-inversion-training-data/my-trigger`, -but you can change the path to wherever you want. - -### Output Destination Directory - -This is the location of the logs, checkpoint files, and embedding -files created during training. When you select a trigger term like -"my-trigger", the frontend will prepopulate this field with -`~/invokeai/text-inversion-output/my-trigger`, but you can change the -path to wherever you want. - -### Image resolution - -The images in the training directory will be automatically scaled to -the value you use here. For best results, you will want to use the -same default resolution of the underlying model (512 pixels for -SD-1.5, 768 for the larger version of SD-2.1). - -### Center crop images - -If this is selected, your images will be center cropped to make them -square before resizing them to the desired resolution. Center cropping -can indiscriminately cut off the top of subjects' heads for portrait -aspect images, so if you have images like this, you may wish to use a -photoeditor to manually crop them to a square aspect ratio. - -### Mixed precision - -Select the floating point precision for the embedding. "no" will -result in a full 32-bit precision, "fp16" will provide 16-bit -precision, and "bf16" will provide mixed precision (only available -when XFormers is used). - -### Max training steps - -How many steps the training will take before the model converges. Most -training sets will converge with 2000-3000 steps. - -### Batch size - -This adjusts how many training images are processed simultaneously in -each step. Higher values will cause the training process to run more -quickly, but use more memory. The default size will run with GPUs with -as little as 12 GB. - -### Learning rate - -The rate at which the system adjusts its internal weights during -training. Higher values risk overtraining (getting the same image each -time), and lower values will take more steps to train a good -model. The default of 0.0005 is conservative; you may wish to increase -it to 0.005 to speed up training. - -### Scale learning rate by number of GPUs, steps and batch size - -If this is selected (the default) the system will adjust the provided -learning rate to improve performance. - -### Use xformers acceleration - -This will activate XFormers memory-efficient attention. You need to -have XFormers installed for this to have an effect. - -### Learning rate scheduler - -This adjusts how the learning rate changes over the course of -training. The default "constant" means to use a constant learning rate -for the entire training session. The other values scale the learning -rate according to various formulas. - -Only "constant" is supported by the XFormers library. - -### Gradient accumulation steps - -This is a parameter that allows you to use bigger batch sizes than -your GPU's VRAM would ordinarily accommodate, at the cost of some -performance. - -### Warmup steps - -If "constant_with_warmup" is selected in the learning rate scheduler, -then this provides the number of warmup steps. Warmup steps have a -very low learning rate, and are one way of preventing early -overtraining. - -## The training run - -Start the training run by advancing to the OK button (bottom right) -and pressing . A series of progress messages will be displayed -as the training process proceeds. This may take an hour or two, -depending on settings and the speed of your system. Various log and -checkpoint files will be written into the output directory (ordinarily -`~/invokeai/text-inversion-output/my-model/`) - -At the end of successful training, the system will copy the file -`learned_embeds.bin` into the InvokeAI root directory's `embeddings` -directory, using a subdirectory named after the trigger token. For -example, if the trigger token was `psychedelic`, then look for the -embeddings file in -`~/invokeai/embeddings/psychedelic/learned_embeds.bin` - -You may now launch InvokeAI and try out a prompt that uses the trigger -term. For example `a plate of banana sushi in style`. - -## **Training with the Command-Line Script** - -Training can also be done using a traditional command-line script. It -can be launched from within the "developer's console", or from the -command line after activating InvokeAI's virtual environment. - -It accepts a large number of arguments, which can be summarized by -passing the `--help` argument: - -```sh -invokeai-ti --help -``` - -Typical usage is shown here: -```sh -invokeai-ti \ - --model=stable-diffusion-1.5 \ - --resolution=512 \ - --learnable_property=style \ - --initializer_token='*' \ - --placeholder_token='' \ - --train_data_dir=/home/lstein/invokeai/training-data/psychedelic \ - --output_dir=/home/lstein/invokeai/text-inversion-training/psychedelic \ - --scale_lr \ - --train_batch_size=8 \ - --gradient_accumulation_steps=4 \ - --max_train_steps=3000 \ - --learning_rate=0.0005 \ - --resume_from_checkpoint=latest \ - --lr_scheduler=constant \ - --mixed_precision=fp16 \ - --only_save_embeds -``` - -## Troubleshooting - -### `Cannot load embedding for . It was trained on a model with token dimension 1024, but the current model has token dimension 768` - -Messages like this indicate you trained the embedding on a different base model than the currently selected one. - -For example, in the error above, the training was done on SD2.1 (768x768) but it was used on SD1.5 (512x512). - -## Reading - -For more information on textual inversion, please see the following -resources: - -* The [textual inversion repository](https://github.com/rinongal/textual_inversion) and - associated paper for details and limitations. -* [HuggingFace's textual inversion training - page](https://huggingface.co/docs/diffusers/training/text_inversion) -* [HuggingFace example script - documentation](https://github.com/huggingface/diffusers/tree/main/examples/textual_inversion) - (Note that this script is similar to, but not identical, to - `textual_inversion`, but produces embed files that are completely compatible. - ---- - -copyright (c) 2023, Lincoln Stein and the InvokeAI Development Team +You can find more by visiting the repo at https://github.com/invoke-ai/invoke-training diff --git a/docs/installation/010_INSTALL_AUTOMATED.md b/docs/installation/010_INSTALL_AUTOMATED.md index 5e2db65d7b..9eb8620321 100644 --- a/docs/installation/010_INSTALL_AUTOMATED.md +++ b/docs/installation/010_INSTALL_AUTOMATED.md @@ -1,8 +1,10 @@ -# Automatic Install +# Automatic Install & Updates -The installer is used for both new installs and updates. +**The same packaged installer file can be used for both new installs and updates.** +Using the installer for updates will leave everything you've added since installation, and just update the core libraries used to run Invoke. +Simply use the same path you installed to originally. -Both release and pre-release versions can be installed using it. It also supports install a wheel if needed. +Both release and pre-release versions can be installed using the installer. It also supports install through a wheel if needed. Be sure to review the [installation requirements] and ensure your system has everything it needs to install Invoke. diff --git a/docs/installation/INSTALLATION.md b/docs/installation/INSTALLATION.md index 5c121e6170..267376f197 100644 --- a/docs/installation/INSTALLATION.md +++ b/docs/installation/INSTALLATION.md @@ -1,4 +1,4 @@ -# Installation Overview +# Installation and Updating Overview Before installing, review the [installation requirements] to ensure your system is set up properly. @@ -6,14 +6,21 @@ See the [FAQ] for frequently-encountered installation issues. If you need more help, join our [discord] or [create an issue]. -

Automatic Install

+

Automatic Install & Updates

✅ The automatic install is the best way to run InvokeAI. Check out the [installation guide] to get started. +⬆️ The same installer is also the best way to update InvokeAI - Simply rerun it for the same folder you installed to. + +The installation process simply manages installation for the core libraries & application dependencies that run Invoke. +Any models, images, or other assets in the Invoke root folder won't be affected by the installation process. +

Manual Install

If you are familiar with python and want more control over the packages that are installed, you can [install InvokeAI manually via PyPI]. +Updates are managed by reinstalling the latest version through PyPi. +

Developer Install

If you want to contribute to InvokeAI, consult the [developer install guide]. diff --git a/docs/installation/INSTALL_REQUIREMENTS.md b/docs/installation/INSTALL_REQUIREMENTS.md index 31f60b86eb..2279e7efb8 100644 --- a/docs/installation/INSTALL_REQUIREMENTS.md +++ b/docs/installation/INSTALL_REQUIREMENTS.md @@ -37,13 +37,13 @@ Invoke runs best with a dedicated GPU, but will fall back to running on CPU, alb === "Nvidia" ``` - Any GPU with at least 8GB VRAM. Linux only. + Any GPU with at least 8GB VRAM. ``` === "AMD" ``` - Any GPU with at least 16GB VRAM. + Any GPU with at least 16GB VRAM. Linux only. ``` === "Mac" diff --git a/invokeai/app/api/routers/app_info.py b/invokeai/app/api/routers/app_info.py index 21286ac2b0..c3bc98a038 100644 --- a/invokeai/app/api/routers/app_info.py +++ b/invokeai/app/api/routers/app_info.py @@ -13,7 +13,6 @@ from pydantic import BaseModel, Field from invokeai.app.invocations.upscale import ESRGAN_MODELS from invokeai.app.services.invocation_cache.invocation_cache_common import InvocationCacheStatus from invokeai.backend.image_util.infill_methods.patchmatch import PatchMatch -from invokeai.backend.image_util.safety_checker import SafetyChecker from invokeai.backend.util.logging import logging from invokeai.version import __version__ @@ -109,9 +108,7 @@ async def get_config() -> AppConfig: upscaling_models.append(str(Path(model).stem)) upscaler = Upscaler(upscaling_method="esrgan", upscaling_models=upscaling_models) - nsfw_methods = [] - if SafetyChecker.safety_checker_available(): - nsfw_methods.append("nsfw_checker") + nsfw_methods = ["nsfw_checker"] watermarking_methods = ["invisible_watermark"] diff --git a/invokeai/app/api/routers/model_manager.py b/invokeai/app/api/routers/model_manager.py index 7bb0f23dc8..1ba3e30e07 100644 --- a/invokeai/app/api/routers/model_manager.py +++ b/invokeai/app/api/routers/model_manager.py @@ -6,7 +6,7 @@ import pathlib import shutil import traceback from copy import deepcopy -from typing import Any, Dict, List, Optional +from typing import Any, Dict, List, Optional, Type from fastapi import Body, Path, Query, Response, UploadFile from fastapi.responses import FileResponse @@ -16,6 +16,7 @@ from pydantic import AnyHttpUrl, BaseModel, ConfigDict, Field from starlette.exceptions import HTTPException from typing_extensions import Annotated +from invokeai.app.services.model_images.model_images_common import ModelImageFileNotFoundException from invokeai.app.services.model_install import ModelInstallJob from invokeai.app.services.model_records import ( DuplicateModelException, @@ -52,6 +53,13 @@ class ModelsList(BaseModel): model_config = ConfigDict(use_enum_values=True) +def add_cover_image_to_model_config(config: AnyModelConfig, dependencies: Type[ApiDependencies]) -> AnyModelConfig: + """Add a cover image URL to a model configuration.""" + cover_image = dependencies.invoker.services.model_images.get_url(config.key) + config.cover_image = cover_image + return config + + ############################################################################## # These are example inputs and outputs that are used in places where Swagger # is unable to generate a correct example. @@ -118,8 +126,7 @@ async def list_model_records( record_store.search_by_attr(model_type=model_type, model_name=model_name, model_format=model_format) ) for model in found_models: - cover_image = ApiDependencies.invoker.services.model_images.get_url(model.key) - model.cover_image = cover_image + model = add_cover_image_to_model_config(model, ApiDependencies) return ModelsList(models=found_models) @@ -160,12 +167,9 @@ async def get_model_record( key: str = Path(description="Key of the model record to fetch."), ) -> AnyModelConfig: """Get a model record""" - record_store = ApiDependencies.invoker.services.model_manager.store try: - config: AnyModelConfig = record_store.get_model(key) - cover_image = ApiDependencies.invoker.services.model_images.get_url(key) - config.cover_image = cover_image - return config + config = ApiDependencies.invoker.services.model_manager.store.get_model(key) + return add_cover_image_to_model_config(config, ApiDependencies) except UnknownModelException as e: raise HTTPException(status_code=404, detail=str(e)) @@ -294,14 +298,15 @@ async def update_model_record( installer = ApiDependencies.invoker.services.model_manager.install try: record_store.update_model(key, changes=changes) - model_response: AnyModelConfig = installer.sync_model_path(key) + config = installer.sync_model_path(key) + config = add_cover_image_to_model_config(config, ApiDependencies) logger.info(f"Updated model: {key}") except UnknownModelException as e: raise HTTPException(status_code=404, detail=str(e)) except ValueError as e: logger.error(str(e)) raise HTTPException(status_code=409, detail=str(e)) - return model_response + return config @model_manager_router.get( @@ -648,6 +653,14 @@ async def convert_model( logger.error(str(e)) raise HTTPException(status_code=409, detail=str(e)) + # Update the model image if the model had one + try: + model_image = ApiDependencies.invoker.services.model_images.get(key) + ApiDependencies.invoker.services.model_images.save(model_image, new_key) + ApiDependencies.invoker.services.model_images.delete(key) + except ModelImageFileNotFoundException: + pass + # delete the original safetensors file installer.delete(key) @@ -655,7 +668,8 @@ async def convert_model( shutil.rmtree(cache_path) # return the config record for the new diffusers directory - new_config: AnyModelConfig = store.get_model(new_key) + new_config = store.get_model(new_key) + new_config = add_cover_image_to_model_config(new_config, ApiDependencies) return new_config diff --git a/invokeai/app/invocations/image.py b/invokeai/app/invocations/image.py index 05ffc0d67b..65e7ce5e06 100644 --- a/invokeai/app/invocations/image.py +++ b/invokeai/app/invocations/image.py @@ -1,6 +1,5 @@ # Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654) -from pathlib import Path from typing import Literal, Optional import cv2 @@ -504,7 +503,7 @@ class ImageInverseLerpInvocation(BaseInvocation, WithMetadata, WithBoard): title="Blur NSFW Image", tags=["image", "nsfw"], category="image", - version="1.2.2", + version="1.2.3", ) class ImageNSFWBlurInvocation(BaseInvocation, WithMetadata, WithBoard): """Add blur to NSFW-flagged images""" @@ -516,23 +515,12 @@ class ImageNSFWBlurInvocation(BaseInvocation, WithMetadata, WithBoard): logger = context.logger logger.debug("Running NSFW checker") - if SafetyChecker.has_nsfw_concept(image): - logger.info("A potentially NSFW image has been detected. Image will be blurred.") - blurry_image = image.filter(filter=ImageFilter.GaussianBlur(radius=32)) - caution = self._get_caution_img() - blurry_image.paste(caution, (0, 0), caution) - image = blurry_image + image = SafetyChecker.blur_if_nsfw(image) image_dto = context.images.save(image=image) return ImageOutput.build(image_dto) - 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") - return caution.resize((caution.width // 2, caution.height // 2)) - @invocation( "img_watermark", diff --git a/invokeai/app/invocations/latent.py b/invokeai/app/invocations/latent.py index 3d1439f7db..b3ac3973bf 100644 --- a/invokeai/app/invocations/latent.py +++ b/invokeai/app/invocations/latent.py @@ -586,13 +586,6 @@ class DenoiseLatentsInvocation(BaseInvocation): unet: UNet2DConditionModel, scheduler: Scheduler, ) -> StableDiffusionGeneratorPipeline: - # TODO: - # configure_model_padding( - # unet, - # self.seamless, - # self.seamless_axes, - # ) - class FakeVae: class FakeVaeConfig: def __init__(self) -> None: diff --git a/invokeai/backend/image_util/__init__.py b/invokeai/backend/image_util/__init__.py index dec2a92150..f45af9feb4 100644 --- a/invokeai/backend/image_util/__init__.py +++ b/invokeai/backend/image_util/__init__.py @@ -4,5 +4,4 @@ Initialization file for invokeai.backend.image_util methods. from .infill_methods.patchmatch import PatchMatch # noqa: F401 from .pngwriter import PngWriter, PromptFormatter, retrieve_metadata, write_metadata # noqa: F401 -from .seamless import configure_model_padding # noqa: F401 from .util import InitImageResizer, make_grid # noqa: F401 diff --git a/invokeai/backend/image_util/safety_checker.py b/invokeai/backend/image_util/safety_checker.py index afc51c241a..7a8afd4580 100644 --- a/invokeai/backend/image_util/safety_checker.py +++ b/invokeai/backend/image_util/safety_checker.py @@ -8,7 +8,7 @@ from pathlib import Path import numpy as np from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker -from PIL import Image +from PIL import Image, ImageFilter from transformers import AutoFeatureExtractor import invokeai.backend.util.logging as logger @@ -16,6 +16,7 @@ from invokeai.app.services.config import get_config from invokeai.backend.util.devices import TorchDevice from invokeai.backend.util.silence_warnings import SilenceWarnings +repo_id = "CompVis/stable-diffusion-safety-checker" CHECKER_PATH = "core/convert/stable-diffusion-safety-checker" @@ -24,30 +25,30 @@ class SafetyChecker: Wrapper around SafetyChecker model. """ - safety_checker = None feature_extractor = None - tried_load: bool = False + safety_checker = None @classmethod def _load_safety_checker(cls): - if cls.tried_load: + if cls.safety_checker is not None and cls.feature_extractor is not None: return try: - cls.safety_checker = StableDiffusionSafetyChecker.from_pretrained(get_config().models_path / CHECKER_PATH) - cls.feature_extractor = AutoFeatureExtractor.from_pretrained(get_config().models_path / CHECKER_PATH) + model_path = get_config().models_path / CHECKER_PATH + if model_path.exists(): + cls.feature_extractor = AutoFeatureExtractor.from_pretrained(model_path) + cls.safety_checker = StableDiffusionSafetyChecker.from_pretrained(model_path) + else: + model_path.mkdir(parents=True, exist_ok=True) + cls.feature_extractor = AutoFeatureExtractor.from_pretrained(repo_id) + cls.feature_extractor.save_pretrained(model_path, safe_serialization=True) + cls.safety_checker = StableDiffusionSafetyChecker.from_pretrained(repo_id) + cls.safety_checker.save_pretrained(model_path, safe_serialization=True) except Exception as e: logger.warning(f"Could not load NSFW checker: {str(e)}") - cls.tried_load = True - - @classmethod - def safety_checker_available(cls) -> bool: - return Path(get_config().models_path, CHECKER_PATH).exists() @classmethod def has_nsfw_concept(cls, image: Image.Image) -> bool: - if not cls.safety_checker_available() and cls.tried_load: - return False cls._load_safety_checker() if cls.safety_checker is None or cls.feature_extractor is None: return False @@ -60,3 +61,24 @@ class SafetyChecker: with SilenceWarnings(): checked_image, has_nsfw_concept = cls.safety_checker(images=x_image, clip_input=features.pixel_values) return has_nsfw_concept[0] + + @classmethod + def blur_if_nsfw(cls, image: Image.Image) -> Image.Image: + if cls.has_nsfw_concept(image): + logger.warning("A potentially NSFW image has been detected. Image will be blurred.") + blurry_image = image.filter(filter=ImageFilter.GaussianBlur(radius=32)) + caution = cls._get_caution_img() + # Center the caution image on the blurred image + x = (blurry_image.width - caution.width) // 2 + y = (blurry_image.height - caution.height) // 2 + blurry_image.paste(caution, (x, y), caution) + image = blurry_image + + return image + + @classmethod + def _get_caution_img(cls) -> Image.Image: + import invokeai.app.assets.images as image_assets + + caution = Image.open(Path(image_assets.__path__[0]) / "caution.png") + return caution.resize((caution.width // 2, caution.height // 2)) diff --git a/invokeai/backend/image_util/seamless.py b/invokeai/backend/image_util/seamless.py deleted file mode 100644 index 8a2580bfcc..0000000000 --- a/invokeai/backend/image_util/seamless.py +++ /dev/null @@ -1,52 +0,0 @@ -import torch.nn as nn - - -def _conv_forward_asymmetric(self, input, weight, bias): - """ - Patch for Conv2d._conv_forward that supports asymmetric padding - """ - working = nn.functional.pad(input, self.asymmetric_padding["x"], mode=self.asymmetric_padding_mode["x"]) - working = nn.functional.pad(working, self.asymmetric_padding["y"], mode=self.asymmetric_padding_mode["y"]) - return nn.functional.conv2d( - working, - weight, - bias, - self.stride, - nn.modules.utils._pair(0), - self.dilation, - self.groups, - ) - - -def configure_model_padding(model, seamless, seamless_axes): - """ - Modifies the 2D convolution layers to use a circular padding mode based on - the `seamless` and `seamless_axes` options. - """ - # TODO: get an explicit interface for this in diffusers: https://github.com/huggingface/diffusers/issues/556 - for m in model.modules(): - if isinstance(m, (nn.Conv2d, nn.ConvTranspose2d)): - if seamless: - m.asymmetric_padding_mode = {} - m.asymmetric_padding = {} - m.asymmetric_padding_mode["x"] = "circular" if ("x" in seamless_axes) else "constant" - m.asymmetric_padding["x"] = ( - m._reversed_padding_repeated_twice[0], - m._reversed_padding_repeated_twice[1], - 0, - 0, - ) - m.asymmetric_padding_mode["y"] = "circular" if ("y" in seamless_axes) else "constant" - m.asymmetric_padding["y"] = ( - 0, - 0, - m._reversed_padding_repeated_twice[2], - m._reversed_padding_repeated_twice[3], - ) - m._conv_forward = _conv_forward_asymmetric.__get__(m, nn.Conv2d) - else: - m._conv_forward = nn.Conv2d._conv_forward.__get__(m, nn.Conv2d) - if hasattr(m, "asymmetric_padding_mode"): - del m.asymmetric_padding_mode - if hasattr(m, "asymmetric_padding"): - del m.asymmetric_padding diff --git a/invokeai/backend/stable_diffusion/seamless.py b/invokeai/backend/stable_diffusion/seamless.py index 2e22c19d0e..23ed978c6d 100644 --- a/invokeai/backend/stable_diffusion/seamless.py +++ b/invokeai/backend/stable_diffusion/seamless.py @@ -1,89 +1,51 @@ -from __future__ import annotations - from contextlib import contextmanager -from typing import Callable, List, Union +from typing import Callable, List, Optional, Tuple, Union +import torch import torch.nn as nn from diffusers.models.autoencoders.autoencoder_kl import AutoencoderKL from diffusers.models.autoencoders.autoencoder_tiny import AutoencoderTiny +from diffusers.models.lora import LoRACompatibleConv from diffusers.models.unets.unet_2d_condition import UNet2DConditionModel -def _conv_forward_asymmetric(self, input, weight, bias): - """ - Patch for Conv2d._conv_forward that supports asymmetric padding - """ - working = nn.functional.pad(input, self.asymmetric_padding["x"], mode=self.asymmetric_padding_mode["x"]) - working = nn.functional.pad(working, self.asymmetric_padding["y"], mode=self.asymmetric_padding_mode["y"]) - return nn.functional.conv2d( - working, - weight, - bias, - self.stride, - nn.modules.utils._pair(0), - self.dilation, - self.groups, - ) - - @contextmanager def set_seamless(model: Union[UNet2DConditionModel, AutoencoderKL, AutoencoderTiny], seamless_axes: List[str]): if not seamless_axes: yield return - # Callable: (input: Tensor, weight: Tensor, bias: Optional[Tensor]) -> Tensor - to_restore: list[tuple[nn.Conv2d | nn.ConvTranspose2d, Callable]] = [] + # override conv_forward + # https://github.com/huggingface/diffusers/issues/556#issuecomment-1993287019 + def _conv_forward_asymmetric(self, input: torch.Tensor, weight: torch.Tensor, bias: Optional[torch.Tensor] = None): + self.paddingX = (self._reversed_padding_repeated_twice[0], self._reversed_padding_repeated_twice[1], 0, 0) + self.paddingY = (0, 0, self._reversed_padding_repeated_twice[2], self._reversed_padding_repeated_twice[3]) + working = torch.nn.functional.pad(input, self.paddingX, mode=x_mode) + working = torch.nn.functional.pad(working, self.paddingY, mode=y_mode) + return torch.nn.functional.conv2d( + working, weight, bias, self.stride, torch.nn.modules.utils._pair(0), self.dilation, self.groups + ) + + original_layers: List[Tuple[nn.Conv2d, Callable]] = [] + try: - # Hard coded to skip down block layers, allowing for seamless tiling at the expense of prompt adherence - skipped_layers = 1 - for m_name, m in model.named_modules(): - if not isinstance(m, (nn.Conv2d, nn.ConvTranspose2d)): - continue + x_mode = "circular" if "x" in seamless_axes else "constant" + y_mode = "circular" if "y" in seamless_axes else "constant" - if isinstance(model, UNet2DConditionModel) and m_name.startswith("down_blocks.") and ".resnets." in m_name: - # down_blocks.1.resnets.1.conv1 - _, block_num, _, resnet_num, submodule_name = m_name.split(".") - block_num = int(block_num) - resnet_num = int(resnet_num) + conv_layers: List[torch.nn.Conv2d] = [] - if block_num >= len(model.down_blocks) - skipped_layers: - continue + for module in model.modules(): + if isinstance(module, torch.nn.Conv2d): + conv_layers.append(module) - # Skip the second resnet (could be configurable) - if resnet_num > 0: - continue - - # Skip Conv2d layers (could be configurable) - if submodule_name == "conv2": - continue - - m.asymmetric_padding_mode = {} - m.asymmetric_padding = {} - m.asymmetric_padding_mode["x"] = "circular" if ("x" in seamless_axes) else "constant" - m.asymmetric_padding["x"] = ( - m._reversed_padding_repeated_twice[0], - m._reversed_padding_repeated_twice[1], - 0, - 0, - ) - m.asymmetric_padding_mode["y"] = "circular" if ("y" in seamless_axes) else "constant" - m.asymmetric_padding["y"] = ( - 0, - 0, - m._reversed_padding_repeated_twice[2], - m._reversed_padding_repeated_twice[3], - ) - - to_restore.append((m, m._conv_forward)) - m._conv_forward = _conv_forward_asymmetric.__get__(m, nn.Conv2d) + for layer in conv_layers: + if isinstance(layer, LoRACompatibleConv) and layer.lora_layer is None: + layer.lora_layer = lambda *x: 0 + original_layers.append((layer, layer._conv_forward)) + layer._conv_forward = _conv_forward_asymmetric.__get__(layer, torch.nn.Conv2d) yield finally: - for module, orig_conv_forward in to_restore: - module._conv_forward = orig_conv_forward - if hasattr(module, "asymmetric_padding_mode"): - del module.asymmetric_padding_mode - if hasattr(module, "asymmetric_padding"): - del module.asymmetric_padding + for layer, orig_conv_forward in original_layers: + layer._conv_forward = orig_conv_forward diff --git a/invokeai/frontend/web/package.json b/invokeai/frontend/web/package.json index 96db090386..8f6f2c6038 100644 --- a/invokeai/frontend/web/package.json +++ b/invokeai/frontend/web/package.json @@ -52,47 +52,48 @@ }, "dependencies": { "@chakra-ui/react-use-size": "^2.1.0", - "@dagrejs/dagre": "^1.1.1", - "@dagrejs/graphlib": "^2.2.1", + "@dagrejs/dagre": "^1.1.2", + "@dagrejs/graphlib": "^2.2.2", "@dnd-kit/core": "^6.1.0", "@dnd-kit/sortable": "^8.0.0", "@dnd-kit/utilities": "^3.2.2", - "@fontsource-variable/inter": "^5.0.17", + "@fontsource-variable/inter": "^5.0.18", "@invoke-ai/ui-library": "^0.0.25", "@nanostores/react": "^0.7.2", - "@reduxjs/toolkit": "2.2.2", + "@reduxjs/toolkit": "2.2.3", "@roarr/browser-log-writer": "^1.3.0", "chakra-react-select": "^4.7.6", "compare-versions": "^6.1.0", "dateformat": "^5.0.3", - "framer-motion": "^11.0.22", - "i18next": "^23.10.1", - "i18next-http-backend": "^2.5.0", + "fracturedjsonjs": "^4.0.1", + "framer-motion": "^11.1.8", + "i18next": "^23.11.3", + "i18next-http-backend": "^2.5.1", "idb-keyval": "^6.2.1", "jsondiffpatch": "^0.6.0", "konva": "^9.3.6", "lodash-es": "^4.17.21", - "nanostores": "^0.10.0", + "nanostores": "^0.10.3", "new-github-issue-url": "^1.0.0", - "overlayscrollbars": "^2.6.1", - "overlayscrollbars-react": "^0.5.5", + "overlayscrollbars": "^2.7.3", + "overlayscrollbars-react": "^0.5.6", "query-string": "^9.0.0", - "react": "^18.2.0", + "react": "^18.3.1", "react-colorful": "^5.6.1", - "react-dom": "^18.2.0", + "react-dom": "^18.3.1", "react-dropzone": "^14.2.3", "react-error-boundary": "^4.0.13", - "react-hook-form": "^7.51.2", + "react-hook-form": "^7.51.4", "react-hotkeys-hook": "4.5.0", - "react-i18next": "^14.1.0", - "react-icons": "^5.0.1", + "react-i18next": "^14.1.1", + "react-icons": "^5.2.0", "react-konva": "^18.2.10", - "react-redux": "9.1.0", - "react-resizable-panels": "^2.0.16", + "react-redux": "9.1.2", + "react-resizable-panels": "^2.0.19", "react-select": "5.8.0", "react-use": "^17.5.0", - "react-virtuoso": "^4.7.5", - "reactflow": "^11.10.4", + "react-virtuoso": "^4.7.10", + "reactflow": "^11.11.3", "redux-dynamic-middlewares": "^2.2.0", "redux-remember": "^5.1.0", "redux-undo": "^1.1.0", @@ -104,8 +105,8 @@ "use-device-pixel-ratio": "^1.1.2", "use-image": "^1.1.1", "uuid": "^9.0.1", - "zod": "^3.22.4", - "zod-validation-error": "^3.0.3" + "zod": "^3.23.6", + "zod-validation-error": "^3.2.0" }, "peerDependencies": { "@chakra-ui/react": "^2.8.2", @@ -116,19 +117,19 @@ "devDependencies": { "@invoke-ai/eslint-config-react": "^0.0.14", "@invoke-ai/prettier-config-react": "^0.0.7", - "@storybook/addon-essentials": "^8.0.4", - "@storybook/addon-interactions": "^8.0.4", - "@storybook/addon-links": "^8.0.4", - "@storybook/addon-storysource": "^8.0.4", - "@storybook/manager-api": "^8.0.4", - "@storybook/react": "^8.0.4", - "@storybook/react-vite": "^8.0.4", - "@storybook/theming": "^8.0.4", + "@storybook/addon-essentials": "^8.0.10", + "@storybook/addon-interactions": "^8.0.10", + "@storybook/addon-links": "^8.0.10", + "@storybook/addon-storysource": "^8.0.10", + "@storybook/manager-api": "^8.0.10", + "@storybook/react": "^8.0.10", + "@storybook/react-vite": "^8.0.10", + "@storybook/theming": "^8.0.10", "@types/dateformat": "^5.0.2", "@types/lodash-es": "^4.17.12", - "@types/node": "^20.11.30", - "@types/react": "^18.2.73", - "@types/react-dom": "^18.2.22", + "@types/node": "^20.12.10", + "@types/react": "^18.3.1", + "@types/react-dom": "^18.3.0", "@types/uuid": "^9.0.8", "@vitejs/plugin-react-swc": "^3.6.0", "concurrently": "^8.2.2", @@ -136,20 +137,20 @@ "eslint": "^8.57.0", "eslint-plugin-i18next": "^6.0.3", "eslint-plugin-path": "^1.3.0", - "knip": "^5.6.1", + "knip": "^5.12.3", "openapi-types": "^12.1.3", "openapi-typescript": "^6.7.5", "prettier": "^3.2.5", "rollup-plugin-visualizer": "^5.12.0", - "storybook": "^8.0.4", + "storybook": "^8.0.10", "ts-toolbelt": "^9.6.0", "tsafe": "^1.6.6", - "typescript": "^5.4.3", - "vite": "^5.2.6", - "vite-plugin-css-injected-by-js": "^3.5.0", - "vite-plugin-dts": "^3.8.0", + "typescript": "^5.4.5", + "vite": "^5.2.11", + "vite-plugin-css-injected-by-js": "^3.5.1", + "vite-plugin-dts": "^3.9.1", "vite-plugin-eslint": "^1.8.1", "vite-tsconfig-paths": "^4.3.2", - "vitest": "^1.4.0" + "vitest": "^1.6.0" } } diff --git a/invokeai/frontend/web/pnpm-lock.yaml b/invokeai/frontend/web/pnpm-lock.yaml index 2e5442479f..b5de9e6426 100644 --- a/invokeai/frontend/web/pnpm-lock.yaml +++ b/invokeai/frontend/web/pnpm-lock.yaml @@ -7,58 +7,61 @@ settings: dependencies: '@chakra-ui/react': specifier: ^2.8.2 - version: 2.8.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(@types/react@18.2.73)(framer-motion@11.0.22)(react-dom@18.2.0)(react@18.2.0) + version: 2.8.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(@types/react@18.3.1)(framer-motion@11.1.8)(react-dom@18.3.1)(react@18.3.1) '@chakra-ui/react-use-size': specifier: ^2.1.0 - version: 2.1.0(react@18.2.0) + version: 2.1.0(react@18.3.1) '@dagrejs/dagre': - specifier: ^1.1.1 - version: 1.1.1 + specifier: ^1.1.2 + version: 1.1.2 '@dagrejs/graphlib': - specifier: ^2.2.1 - version: 2.2.1 + specifier: ^2.2.2 + version: 2.2.2 '@dnd-kit/core': specifier: ^6.1.0 - version: 6.1.0(react-dom@18.2.0)(react@18.2.0) + version: 6.1.0(react-dom@18.3.1)(react@18.3.1) '@dnd-kit/sortable': specifier: ^8.0.0 - version: 8.0.0(@dnd-kit/core@6.1.0)(react@18.2.0) + version: 8.0.0(@dnd-kit/core@6.1.0)(react@18.3.1) '@dnd-kit/utilities': specifier: ^3.2.2 - version: 3.2.2(react@18.2.0) + version: 3.2.2(react@18.3.1) '@fontsource-variable/inter': - specifier: ^5.0.17 - version: 5.0.17 + specifier: ^5.0.18 + version: 5.0.18 '@invoke-ai/ui-library': specifier: ^0.0.25 - version: 0.0.25(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.0.17)(@internationalized/date@3.5.3)(@types/react@18.2.73)(i18next@23.10.1)(react-dom@18.2.0)(react@18.2.0) + version: 0.0.25(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.0.18)(@internationalized/date@3.5.3)(@types/react@18.3.1)(i18next@23.11.3)(react-dom@18.3.1)(react@18.3.1) '@nanostores/react': specifier: ^0.7.2 - version: 0.7.2(nanostores@0.10.0)(react@18.2.0) + version: 0.7.2(nanostores@0.10.3)(react@18.3.1) '@reduxjs/toolkit': - specifier: 2.2.2 - version: 2.2.2(react-redux@9.1.0)(react@18.2.0) + specifier: 2.2.3 + version: 2.2.3(react-redux@9.1.2)(react@18.3.1) '@roarr/browser-log-writer': specifier: ^1.3.0 version: 1.3.0 chakra-react-select: specifier: ^4.7.6 - version: 4.7.6(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/layout@2.3.1)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@emotion/react@11.11.4)(@types/react@18.2.73)(react-dom@18.2.0)(react@18.2.0) + version: 4.7.6(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/layout@2.3.1)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@emotion/react@11.11.4)(@types/react@18.3.1)(react-dom@18.3.1)(react@18.3.1) compare-versions: specifier: ^6.1.0 version: 6.1.0 dateformat: specifier: ^5.0.3 version: 5.0.3 + fracturedjsonjs: + specifier: ^4.0.1 + version: 4.0.1 framer-motion: - specifier: ^11.0.22 - version: 11.0.22(react-dom@18.2.0)(react@18.2.0) + specifier: ^11.1.8 + version: 11.1.8(react-dom@18.3.1)(react@18.3.1) i18next: - specifier: ^23.10.1 - version: 23.10.1 + specifier: ^23.11.3 + version: 23.11.3 i18next-http-backend: - specifier: ^2.5.0 - version: 2.5.0 + specifier: ^2.5.1 + version: 2.5.1 idb-keyval: specifier: ^6.2.1 version: 6.2.1 @@ -72,68 +75,68 @@ dependencies: specifier: ^4.17.21 version: 4.17.21 nanostores: - specifier: ^0.10.0 - version: 0.10.0 + specifier: ^0.10.3 + version: 0.10.3 new-github-issue-url: specifier: ^1.0.0 version: 1.0.0 overlayscrollbars: - specifier: ^2.6.1 - version: 2.6.1 + specifier: ^2.7.3 + version: 2.7.3 overlayscrollbars-react: - specifier: ^0.5.5 - version: 0.5.5(overlayscrollbars@2.6.1)(react@18.2.0) + specifier: ^0.5.6 + version: 0.5.6(overlayscrollbars@2.7.3)(react@18.3.1) query-string: specifier: ^9.0.0 version: 9.0.0 react: - specifier: ^18.2.0 - version: 18.2.0 + specifier: ^18.3.1 + version: 18.3.1 react-colorful: specifier: ^5.6.1 - version: 5.6.1(react-dom@18.2.0)(react@18.2.0) + version: 5.6.1(react-dom@18.3.1)(react@18.3.1) react-dom: - specifier: ^18.2.0 - version: 18.2.0(react@18.2.0) + specifier: ^18.3.1 + version: 18.3.1(react@18.3.1) react-dropzone: specifier: ^14.2.3 - version: 14.2.3(react@18.2.0) + version: 14.2.3(react@18.3.1) react-error-boundary: specifier: ^4.0.13 - version: 4.0.13(react@18.2.0) + version: 4.0.13(react@18.3.1) react-hook-form: - specifier: ^7.51.2 - version: 7.51.2(react@18.2.0) + specifier: ^7.51.4 + version: 7.51.4(react@18.3.1) react-hotkeys-hook: specifier: 4.5.0 - version: 4.5.0(react-dom@18.2.0)(react@18.2.0) + version: 4.5.0(react-dom@18.3.1)(react@18.3.1) react-i18next: - specifier: ^14.1.0 - version: 14.1.0(i18next@23.10.1)(react-dom@18.2.0)(react@18.2.0) + specifier: ^14.1.1 + version: 14.1.1(i18next@23.11.3)(react-dom@18.3.1)(react@18.3.1) react-icons: - specifier: ^5.0.1 - version: 5.0.1(react@18.2.0) + specifier: ^5.2.0 + version: 5.2.0(react@18.3.1) react-konva: specifier: ^18.2.10 - version: 18.2.10(konva@9.3.6)(react-dom@18.2.0)(react@18.2.0) + version: 18.2.10(konva@9.3.6)(react-dom@18.3.1)(react@18.3.1) react-redux: - specifier: 9.1.0 - version: 9.1.0(@types/react@18.2.73)(react@18.2.0)(redux@5.0.1) + specifier: 9.1.2 + version: 9.1.2(@types/react@18.3.1)(react@18.3.1)(redux@5.0.1) react-resizable-panels: - specifier: ^2.0.16 - version: 2.0.16(react-dom@18.2.0)(react@18.2.0) + specifier: ^2.0.19 + version: 2.0.19(react-dom@18.3.1)(react@18.3.1) react-select: specifier: 5.8.0 - version: 5.8.0(@types/react@18.2.73)(react-dom@18.2.0)(react@18.2.0) + version: 5.8.0(@types/react@18.3.1)(react-dom@18.3.1)(react@18.3.1) react-use: specifier: ^17.5.0 - version: 17.5.0(react-dom@18.2.0)(react@18.2.0) + version: 17.5.0(react-dom@18.3.1)(react@18.3.1) react-virtuoso: - specifier: ^4.7.5 - version: 4.7.5(react-dom@18.2.0)(react@18.2.0) + specifier: ^4.7.10 + version: 4.7.10(react-dom@18.3.1)(react@18.3.1) reactflow: - specifier: ^11.10.4 - version: 11.10.4(@types/react@18.2.73)(react-dom@18.2.0)(react@18.2.0) + specifier: ^11.11.3 + version: 11.11.3(@types/react@18.3.1)(react-dom@18.3.1)(react@18.3.1) redux-dynamic-middlewares: specifier: ^2.2.0 version: 2.2.0 @@ -157,54 +160,54 @@ dependencies: version: 4.7.5 use-debounce: specifier: ^10.0.0 - version: 10.0.0(react@18.2.0) + version: 10.0.0(react@18.3.1) use-device-pixel-ratio: specifier: ^1.1.2 - version: 1.1.2(react@18.2.0) + version: 1.1.2(react@18.3.1) use-image: specifier: ^1.1.1 - version: 1.1.1(react-dom@18.2.0)(react@18.2.0) + version: 1.1.1(react-dom@18.3.1)(react@18.3.1) uuid: specifier: ^9.0.1 version: 9.0.1 zod: - specifier: ^3.22.4 - version: 3.22.4 + specifier: ^3.23.6 + version: 3.23.6 zod-validation-error: - specifier: ^3.0.3 - version: 3.0.3(zod@3.22.4) + specifier: ^3.2.0 + version: 3.2.0(zod@3.23.6) devDependencies: '@invoke-ai/eslint-config-react': specifier: ^0.0.14 - version: 0.0.14(eslint@8.57.0)(prettier@3.2.5)(typescript@5.4.3) + version: 0.0.14(eslint@8.57.0)(prettier@3.2.5)(typescript@5.4.5) '@invoke-ai/prettier-config-react': specifier: ^0.0.7 version: 0.0.7(prettier@3.2.5) '@storybook/addon-essentials': - specifier: ^8.0.4 - version: 8.0.4(@types/react@18.2.73)(react-dom@18.2.0)(react@18.2.0) + specifier: ^8.0.10 + version: 8.0.10(@types/react@18.3.1)(react-dom@18.3.1)(react@18.3.1) '@storybook/addon-interactions': - specifier: ^8.0.4 - version: 8.0.4(vitest@1.4.0) + specifier: ^8.0.10 + version: 8.0.10(vitest@1.6.0) '@storybook/addon-links': - specifier: ^8.0.4 - version: 8.0.4(react@18.2.0) + specifier: ^8.0.10 + version: 8.0.10(react@18.3.1) '@storybook/addon-storysource': - specifier: ^8.0.4 - version: 8.0.4 + specifier: ^8.0.10 + version: 8.0.10 '@storybook/manager-api': - specifier: ^8.0.4 - version: 8.0.4(react-dom@18.2.0)(react@18.2.0) + specifier: ^8.0.10 + version: 8.0.10(react-dom@18.3.1)(react@18.3.1) '@storybook/react': - specifier: ^8.0.4 - version: 8.0.4(react-dom@18.2.0)(react@18.2.0)(typescript@5.4.3) + specifier: ^8.0.10 + version: 8.0.10(react-dom@18.3.1)(react@18.3.1)(typescript@5.4.5) '@storybook/react-vite': - specifier: ^8.0.4 - version: 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'@chakra-ui/react-use-animation-state': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-controllable-state': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-disclosure': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-focus-effect': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-outside-click': 2.2.0(react@18.3.1) + '@chakra-ui/react-use-update-effect': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - '@chakra-ui/transition': 2.1.0(framer-motion@11.0.22)(react@18.2.0) - framer-motion: 11.0.22(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + '@chakra-ui/transition': 2.1.0(framer-motion@11.1.8)(react@18.3.1) + framer-motion: 11.1.8(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/modal@2.3.1(@chakra-ui/system@2.6.2)(@types/react@18.2.73)(framer-motion@10.18.0)(react-dom@18.2.0)(react@18.2.0): + /@chakra-ui/modal@2.3.1(@chakra-ui/system@2.6.2)(@types/react@18.3.1)(framer-motion@10.18.0)(react-dom@18.3.1)(react@18.3.1): resolution: {integrity: sha512-TQv1ZaiJMZN+rR9DK0snx/OPwmtaGH1HbZtlYt4W4s6CzyK541fxLRTjIXfEzIGpvNW+b6VFuFjbcR78p4DEoQ==} peerDependencies: '@chakra-ui/system': '>=2.0.0' @@ -2086,25 +2103,25 @@ packages: react: '>=18' react-dom: '>=18' dependencies: - '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/focus-lock': 2.1.0(@types/react@18.2.73)(react@18.2.0) - '@chakra-ui/portal': 2.1.0(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/react-types': 2.0.7(react@18.2.0) - '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.2.0) + '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/focus-lock': 2.1.0(@types/react@18.3.1)(react@18.3.1) + '@chakra-ui/portal': 2.1.0(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/react-types': 2.0.7(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - '@chakra-ui/transition': 2.1.0(framer-motion@10.18.0)(react@18.2.0) + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + '@chakra-ui/transition': 2.1.0(framer-motion@10.18.0)(react@18.3.1) aria-hidden: 1.2.3 - framer-motion: 10.18.0(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) - react-remove-scroll: 2.5.7(@types/react@18.2.73)(react@18.2.0) + framer-motion: 10.18.0(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + react-remove-scroll: 2.5.7(@types/react@18.3.1)(react@18.3.1) transitivePeerDependencies: - '@types/react' dev: false - /@chakra-ui/modal@2.3.1(@chakra-ui/system@2.6.2)(@types/react@18.2.73)(framer-motion@11.0.22)(react-dom@18.2.0)(react@18.2.0): + /@chakra-ui/modal@2.3.1(@chakra-ui/system@2.6.2)(@types/react@18.3.1)(framer-motion@11.1.8)(react-dom@18.3.1)(react@18.3.1): resolution: {integrity: sha512-TQv1ZaiJMZN+rR9DK0snx/OPwmtaGH1HbZtlYt4W4s6CzyK541fxLRTjIXfEzIGpvNW+b6VFuFjbcR78p4DEoQ==} peerDependencies: '@chakra-ui/system': '>=2.0.0' @@ -2112,44 +2129,44 @@ packages: react: '>=18' react-dom: '>=18' dependencies: - '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/focus-lock': 2.1.0(@types/react@18.2.73)(react@18.2.0) - '@chakra-ui/portal': 2.1.0(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/react-types': 2.0.7(react@18.2.0) - '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.2.0) + '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/focus-lock': 2.1.0(@types/react@18.3.1)(react@18.3.1) + '@chakra-ui/portal': 2.1.0(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/react-types': 2.0.7(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - '@chakra-ui/transition': 2.1.0(framer-motion@11.0.22)(react@18.2.0) + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + '@chakra-ui/transition': 2.1.0(framer-motion@11.1.8)(react@18.3.1) aria-hidden: 1.2.3 - framer-motion: 11.0.22(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) - react-remove-scroll: 2.5.7(@types/react@18.2.73)(react@18.2.0) + framer-motion: 11.1.8(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + react-remove-scroll: 2.5.7(@types/react@18.3.1)(react@18.3.1) transitivePeerDependencies: - '@types/react' dev: false - /@chakra-ui/number-input@2.1.2(@chakra-ui/system@2.6.2)(react@18.2.0): + /@chakra-ui/number-input@2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1): resolution: {integrity: sha512-pfOdX02sqUN0qC2ysuvgVDiws7xZ20XDIlcNhva55Jgm095xjm8eVdIBfNm3SFbSUNxyXvLTW/YQanX74tKmuA==} peerDependencies: '@chakra-ui/system': '>=2.0.0' react: '>=18' dependencies: - '@chakra-ui/counter': 2.1.0(react@18.2.0) - '@chakra-ui/form-control': 2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/icon': 3.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/react-types': 2.0.7(react@18.2.0) - '@chakra-ui/react-use-callback-ref': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-event-listener': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-interval': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-safe-layout-effect': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-update-effect': 2.1.0(react@18.2.0) + '@chakra-ui/counter': 2.1.0(react@18.3.1) + '@chakra-ui/form-control': 2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/icon': 3.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/react-types': 2.0.7(react@18.3.1) + '@chakra-ui/react-use-callback-ref': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-event-listener': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-interval': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-safe-layout-effect': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-update-effect': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + react: 18.3.1 dev: false /@chakra-ui/number-utils@2.0.7: @@ -2160,103 +2177,103 @@ packages: resolution: {integrity: sha512-tgIZOgLHaoti5PYGPTwK3t/cqtcycW0owaiOXoZOcpwwX/vlVb+H1jFsQyWiiwQVPt9RkoSLtxzXamx+aHH+bQ==} dev: false - /@chakra-ui/pin-input@2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0): + /@chakra-ui/pin-input@2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1): resolution: {integrity: sha512-x4vBqLStDxJFMt+jdAHHS8jbh294O53CPQJoL4g228P513rHylV/uPscYUHrVJXRxsHfRztQO9k45jjTYaPRMw==} peerDependencies: '@chakra-ui/system': '>=2.0.0' react: '>=18' dependencies: - '@chakra-ui/descendant': 3.1.0(react@18.2.0) - '@chakra-ui/react-children-utils': 2.0.6(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-controllable-state': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.2.0) + '@chakra-ui/descendant': 3.1.0(react@18.3.1) + '@chakra-ui/react-children-utils': 2.0.6(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-controllable-state': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/popover@2.2.1(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react@18.2.0): + /@chakra-ui/popover@2.2.1(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react@18.3.1): resolution: {integrity: sha512-K+2ai2dD0ljvJnlrzesCDT9mNzLifE3noGKZ3QwLqd/K34Ym1W/0aL1ERSynrcG78NKoXS54SdEzkhCZ4Gn/Zg==} peerDependencies: '@chakra-ui/system': '>=2.0.0' framer-motion: '>=4.0.0' react: '>=18' dependencies: - '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) + '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) '@chakra-ui/lazy-utils': 2.0.5 - '@chakra-ui/popper': 3.1.0(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/react-types': 2.0.7(react@18.2.0) - '@chakra-ui/react-use-animation-state': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-disclosure': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-focus-effect': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-focus-on-pointer-down': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.2.0) + '@chakra-ui/popper': 3.1.0(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/react-types': 2.0.7(react@18.3.1) + '@chakra-ui/react-use-animation-state': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-disclosure': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-focus-effect': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-focus-on-pointer-down': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - framer-motion: 10.18.0(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + framer-motion: 10.18.0(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/popover@2.2.1(@chakra-ui/system@2.6.2)(framer-motion@11.0.22)(react@18.2.0): + /@chakra-ui/popover@2.2.1(@chakra-ui/system@2.6.2)(framer-motion@11.1.8)(react@18.3.1): resolution: {integrity: sha512-K+2ai2dD0ljvJnlrzesCDT9mNzLifE3noGKZ3QwLqd/K34Ym1W/0aL1ERSynrcG78NKoXS54SdEzkhCZ4Gn/Zg==} peerDependencies: '@chakra-ui/system': '>=2.0.0' framer-motion: '>=4.0.0' react: '>=18' dependencies: - '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) + '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) '@chakra-ui/lazy-utils': 2.0.5 - '@chakra-ui/popper': 3.1.0(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/react-types': 2.0.7(react@18.2.0) - '@chakra-ui/react-use-animation-state': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-disclosure': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-focus-effect': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-focus-on-pointer-down': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.2.0) + '@chakra-ui/popper': 3.1.0(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/react-types': 2.0.7(react@18.3.1) + '@chakra-ui/react-use-animation-state': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-disclosure': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-focus-effect': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-focus-on-pointer-down': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - framer-motion: 11.0.22(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + framer-motion: 11.1.8(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/popper@3.1.0(react@18.2.0): + /@chakra-ui/popper@3.1.0(react@18.3.1): resolution: {integrity: sha512-ciDdpdYbeFG7og6/6J8lkTFxsSvwTdMLFkpVylAF6VNC22jssiWfquj2eyD4rJnzkRFPvIWJq8hvbfhsm+AjSg==} peerDependencies: react: '>=18' dependencies: - '@chakra-ui/react-types': 2.0.7(react@18.2.0) - '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.2.0) + '@chakra-ui/react-types': 2.0.7(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) '@popperjs/core': 2.11.8 - react: 18.2.0 + react: 18.3.1 dev: false - /@chakra-ui/portal@2.1.0(react-dom@18.2.0)(react@18.2.0): + /@chakra-ui/portal@2.1.0(react-dom@18.3.1)(react@18.3.1): resolution: {integrity: sha512-9q9KWf6SArEcIq1gGofNcFPSWEyl+MfJjEUg/un1SMlQjaROOh3zYr+6JAwvcORiX7tyHosnmWC3d3wI2aPSQg==} peerDependencies: react: '>=18' react-dom: '>=18' dependencies: - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-safe-layout-effect': 2.1.0(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-safe-layout-effect': 2.1.0(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) dev: false - /@chakra-ui/progress@2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0): + /@chakra-ui/progress@2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1): resolution: {integrity: sha512-qUXuKbuhN60EzDD9mHR7B67D7p/ZqNS2Aze4Pbl1qGGZfulPW0PY8Rof32qDtttDQBkzQIzFGE8d9QpAemToIQ==} peerDependencies: '@chakra-ui/system': '>=2.0.0' react: '>=18' dependencies: - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/provider@2.4.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react-dom@18.2.0)(react@18.2.0): + 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'@chakra-ui/layout': 2.3.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/live-region': 2.1.0(react@18.3.1) + '@chakra-ui/media-query': 3.3.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/menu': 2.2.1(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react@18.3.1) + '@chakra-ui/modal': 2.3.1(@chakra-ui/system@2.6.2)(@types/react@18.3.1)(framer-motion@10.18.0)(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/number-input': 2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/pin-input': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/popover': 2.2.1(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react@18.3.1) + '@chakra-ui/popper': 3.1.0(react@18.3.1) + '@chakra-ui/portal': 2.1.0(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/progress': 2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/provider': 2.4.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/radio': 2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/react-env': 3.1.0(react@18.3.1) + '@chakra-ui/select': 2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/skeleton': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/skip-nav': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/slider': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/spinner': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/stat': 2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/stepper': 2.3.1(@chakra-ui/system@2.6.2)(react@18.3.1) '@chakra-ui/styled-system': 2.9.2 - '@chakra-ui/switch': 2.1.2(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react@18.2.0) - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - '@chakra-ui/table': 2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/tabs': 3.0.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/tag': 3.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/textarea': 2.1.2(@chakra-ui/system@2.6.2)(react@18.2.0) + '@chakra-ui/switch': 2.1.2(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react@18.3.1) + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + '@chakra-ui/table': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/tabs': 3.0.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/tag': 3.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/textarea': 2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1) '@chakra-ui/theme': 3.3.1(@chakra-ui/styled-system@2.9.2) '@chakra-ui/theme-utils': 2.0.21 - '@chakra-ui/toast': 7.0.2(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/tooltip': 2.3.1(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/transition': 2.1.0(framer-motion@10.18.0)(react@18.2.0) + '@chakra-ui/toast': 7.0.2(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/tooltip': 2.3.1(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/transition': 2.1.0(framer-motion@10.18.0)(react@18.3.1) '@chakra-ui/utils': 2.0.15 - '@chakra-ui/visually-hidden': 2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@emotion/react': 11.11.4(@types/react@18.2.73)(react@18.2.0) - '@emotion/styled': 11.11.0(@emotion/react@11.11.4)(@types/react@18.2.73)(react@18.2.0) - framer-motion: 10.18.0(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) + '@chakra-ui/visually-hidden': 2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@emotion/react': 11.11.4(@types/react@18.3.1)(react@18.3.1) + '@emotion/styled': 11.11.5(@emotion/react@11.11.4)(@types/react@18.3.1)(react@18.3.1) + framer-motion: 10.18.0(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) transitivePeerDependencies: - '@types/react' dev: false - /@chakra-ui/react@2.8.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(@types/react@18.2.73)(framer-motion@11.0.22)(react-dom@18.2.0)(react@18.2.0): + /@chakra-ui/react@2.8.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(@types/react@18.3.1)(framer-motion@11.1.8)(react-dom@18.3.1)(react@18.3.1): resolution: {integrity: sha512-Hn0moyxxyCDKuR9ywYpqgX8dvjqwu9ArwpIb9wHNYjnODETjLwazgNIliCVBRcJvysGRiV51U2/JtJVrpeCjUQ==} peerDependencies: '@emotion/react': ^11.0.0 @@ -2566,162 +2583,162 @@ packages: react: '>=18' react-dom: '>=18' dependencies: - '@chakra-ui/accordion': 2.3.1(@chakra-ui/system@2.6.2)(framer-motion@11.0.22)(react@18.2.0) - '@chakra-ui/alert': 2.2.2(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/avatar': 2.3.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/breadcrumb': 2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/button': 2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/card': 2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/checkbox': 2.3.2(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/control-box': 2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/counter': 2.1.0(react@18.2.0) - '@chakra-ui/css-reset': 2.3.0(@emotion/react@11.11.4)(react@18.2.0) - '@chakra-ui/editable': 3.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/focus-lock': 2.1.0(@types/react@18.2.73)(react@18.2.0) - '@chakra-ui/form-control': 2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/hooks': 2.2.1(react@18.2.0) - '@chakra-ui/icon': 3.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/image': 2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/input': 2.1.2(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/layout': 2.3.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/live-region': 2.1.0(react@18.2.0) - '@chakra-ui/media-query': 3.3.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/menu': 2.2.1(@chakra-ui/system@2.6.2)(framer-motion@11.0.22)(react@18.2.0) - '@chakra-ui/modal': 2.3.1(@chakra-ui/system@2.6.2)(@types/react@18.2.73)(framer-motion@11.0.22)(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/number-input': 2.1.2(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/pin-input': 2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/popover': 2.2.1(@chakra-ui/system@2.6.2)(framer-motion@11.0.22)(react@18.2.0) - '@chakra-ui/popper': 3.1.0(react@18.2.0) - '@chakra-ui/portal': 2.1.0(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/progress': 2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/provider': 2.4.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/radio': 2.1.2(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/react-env': 3.1.0(react@18.2.0) - '@chakra-ui/select': 2.1.2(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/skeleton': 2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/skip-nav': 2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/slider': 2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/spinner': 2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/stat': 2.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/stepper': 2.3.1(@chakra-ui/system@2.6.2)(react@18.2.0) + '@chakra-ui/accordion': 2.3.1(@chakra-ui/system@2.6.2)(framer-motion@11.1.8)(react@18.3.1) + '@chakra-ui/alert': 2.2.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/avatar': 2.3.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/breadcrumb': 2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/button': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/card': 2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/checkbox': 2.3.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/control-box': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/counter': 2.1.0(react@18.3.1) + '@chakra-ui/css-reset': 2.3.0(@emotion/react@11.11.4)(react@18.3.1) + '@chakra-ui/editable': 3.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/focus-lock': 2.1.0(@types/react@18.3.1)(react@18.3.1) + '@chakra-ui/form-control': 2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/hooks': 2.2.1(react@18.3.1) + '@chakra-ui/icon': 3.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/image': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/input': 2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/layout': 2.3.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/live-region': 2.1.0(react@18.3.1) + '@chakra-ui/media-query': 3.3.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/menu': 2.2.1(@chakra-ui/system@2.6.2)(framer-motion@11.1.8)(react@18.3.1) + '@chakra-ui/modal': 2.3.1(@chakra-ui/system@2.6.2)(@types/react@18.3.1)(framer-motion@11.1.8)(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/number-input': 2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/pin-input': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/popover': 2.2.1(@chakra-ui/system@2.6.2)(framer-motion@11.1.8)(react@18.3.1) + '@chakra-ui/popper': 3.1.0(react@18.3.1) + '@chakra-ui/portal': 2.1.0(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/progress': 2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/provider': 2.4.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/radio': 2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/react-env': 3.1.0(react@18.3.1) + '@chakra-ui/select': 2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/skeleton': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/skip-nav': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/slider': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/spinner': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/stat': 2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/stepper': 2.3.1(@chakra-ui/system@2.6.2)(react@18.3.1) '@chakra-ui/styled-system': 2.9.2 - '@chakra-ui/switch': 2.1.2(@chakra-ui/system@2.6.2)(framer-motion@11.0.22)(react@18.2.0) - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - '@chakra-ui/table': 2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/tabs': 3.0.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/tag': 3.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/textarea': 2.1.2(@chakra-ui/system@2.6.2)(react@18.2.0) + '@chakra-ui/switch': 2.1.2(@chakra-ui/system@2.6.2)(framer-motion@11.1.8)(react@18.3.1) + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + '@chakra-ui/table': 2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/tabs': 3.0.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/tag': 3.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/textarea': 2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1) '@chakra-ui/theme': 3.3.1(@chakra-ui/styled-system@2.9.2) '@chakra-ui/theme-utils': 2.0.21 - '@chakra-ui/toast': 7.0.2(@chakra-ui/system@2.6.2)(framer-motion@11.0.22)(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/tooltip': 2.3.1(@chakra-ui/system@2.6.2)(framer-motion@11.0.22)(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/transition': 2.1.0(framer-motion@11.0.22)(react@18.2.0) + '@chakra-ui/toast': 7.0.2(@chakra-ui/system@2.6.2)(framer-motion@11.1.8)(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/tooltip': 2.3.1(@chakra-ui/system@2.6.2)(framer-motion@11.1.8)(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/transition': 2.1.0(framer-motion@11.1.8)(react@18.3.1) '@chakra-ui/utils': 2.0.15 - '@chakra-ui/visually-hidden': 2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@emotion/react': 11.11.4(@types/react@18.2.73)(react@18.2.0) - '@emotion/styled': 11.11.0(@emotion/react@11.11.4)(@types/react@18.2.73)(react@18.2.0) - framer-motion: 11.0.22(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) + '@chakra-ui/visually-hidden': 2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@emotion/react': 11.11.4(@types/react@18.3.1)(react@18.3.1) + '@emotion/styled': 11.11.5(@emotion/react@11.11.4)(@types/react@18.3.1)(react@18.3.1) + framer-motion: 11.1.8(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) transitivePeerDependencies: - '@types/react' dev: false - /@chakra-ui/select@2.1.2(@chakra-ui/system@2.6.2)(react@18.2.0): + /@chakra-ui/select@2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1): resolution: {integrity: sha512-ZwCb7LqKCVLJhru3DXvKXpZ7Pbu1TDZ7N0PdQ0Zj1oyVLJyrpef1u9HR5u0amOpqcH++Ugt0f5JSmirjNlctjA==} peerDependencies: '@chakra-ui/system': '>=2.0.0' react: '>=18' dependencies: - '@chakra-ui/form-control': 2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) + '@chakra-ui/form-control': 2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) 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2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/stat@2.1.1(@chakra-ui/system@2.6.2)(react@18.2.0): + /@chakra-ui/stat@2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1): resolution: {integrity: sha512-LDn0d/LXQNbAn2KaR3F1zivsZCewY4Jsy1qShmfBMKwn6rI8yVlbvu6SiA3OpHS0FhxbsZxQI6HefEoIgtqY6Q==} peerDependencies: '@chakra-ui/system': '>=2.0.0' react: '>=18' dependencies: - '@chakra-ui/icon': 3.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) + '@chakra-ui/icon': 3.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/stepper@2.3.1(@chakra-ui/system@2.6.2)(react@18.2.0): + 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/@chakra-ui/switch@2.1.2(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react@18.3.1): resolution: {integrity: sha512-pgmi/CC+E1v31FcnQhsSGjJnOE2OcND4cKPyTE+0F+bmGm48Q/b5UmKD9Y+CmZsrt/7V3h8KNczowupfuBfIHA==} peerDependencies: '@chakra-ui/system': '>=2.0.0' framer-motion: '>=4.0.0' react: '>=18' dependencies: - '@chakra-ui/checkbox': 2.3.2(@chakra-ui/system@2.6.2)(react@18.2.0) + '@chakra-ui/checkbox': 2.3.2(@chakra-ui/system@2.6.2)(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - framer-motion: 10.18.0(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + framer-motion: 10.18.0(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/switch@2.1.2(@chakra-ui/system@2.6.2)(framer-motion@11.0.22)(react@18.2.0): + /@chakra-ui/switch@2.1.2(@chakra-ui/system@2.6.2)(framer-motion@11.1.8)(react@18.3.1): resolution: {integrity: sha512-pgmi/CC+E1v31FcnQhsSGjJnOE2OcND4cKPyTE+0F+bmGm48Q/b5UmKD9Y+CmZsrt/7V3h8KNczowupfuBfIHA==} peerDependencies: '@chakra-ui/system': '>=2.0.0' framer-motion: '>=4.0.0' react: '>=18' dependencies: - '@chakra-ui/checkbox': 2.3.2(@chakra-ui/system@2.6.2)(react@18.2.0) + '@chakra-ui/checkbox': 2.3.2(@chakra-ui/system@2.6.2)(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - framer-motion: 11.0.22(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + framer-motion: 11.1.8(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/system@2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0): + /@chakra-ui/system@2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1): resolution: {integrity: sha512-EGtpoEjLrUu4W1fHD+a62XR+hzC5YfsWm+6lO0Kybcga3yYEij9beegO0jZgug27V+Rf7vns95VPVP6mFd/DEQ==} peerDependencies: '@emotion/react': ^11.0.0 '@emotion/styled': ^11.0.0 react: '>=18' dependencies: - '@chakra-ui/color-mode': 2.2.0(react@18.2.0) + '@chakra-ui/color-mode': 2.2.0(react@18.3.1) '@chakra-ui/object-utils': 2.1.0 - '@chakra-ui/react-utils': 2.0.12(react@18.2.0) + '@chakra-ui/react-utils': 2.0.12(react@18.3.1) '@chakra-ui/styled-system': 2.9.2 '@chakra-ui/theme-utils': 2.0.21 '@chakra-ui/utils': 2.0.15 - '@emotion/react': 11.11.4(@types/react@18.2.73)(react@18.2.0) - '@emotion/styled': 11.11.0(@emotion/react@11.11.4)(@types/react@18.2.73)(react@18.2.0) - react: 18.2.0 + '@emotion/react': 11.11.4(@types/react@18.3.1)(react@18.3.1) + '@emotion/styled': 11.11.5(@emotion/react@11.11.4)(@types/react@18.3.1)(react@18.3.1) + react: 18.3.1 react-fast-compare: 3.2.2 dev: false - /@chakra-ui/table@2.1.0(@chakra-ui/system@2.6.2)(react@18.2.0): + /@chakra-ui/table@2.1.0(@chakra-ui/system@2.6.2)(react@18.3.1): resolution: {integrity: sha512-o5OrjoHCh5uCLdiUb0Oc0vq9rIAeHSIRScc2ExTC9Qg/uVZl2ygLrjToCaKfaaKl1oQexIeAcZDKvPG8tVkHyQ==} peerDependencies: '@chakra-ui/system': '>=2.0.0' react: '>=18' dependencies: - '@chakra-ui/react-context': 2.1.0(react@18.2.0) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/tabs@3.0.0(@chakra-ui/system@2.6.2)(react@18.2.0): + /@chakra-ui/tabs@3.0.0(@chakra-ui/system@2.6.2)(react@18.3.1): resolution: {integrity: sha512-6Mlclp8L9lqXmsGWF5q5gmemZXOiOYuh0SGT/7PgJVNPz3LXREXlXg2an4MBUD8W5oTkduCX+3KTMCwRrVrDYw==} peerDependencies: '@chakra-ui/system': '>=2.0.0' react: '>=18' dependencies: - '@chakra-ui/clickable': 2.1.0(react@18.2.0) - '@chakra-ui/descendant': 3.1.0(react@18.2.0) + '@chakra-ui/clickable': 2.1.0(react@18.3.1) + '@chakra-ui/descendant': 3.1.0(react@18.3.1) '@chakra-ui/lazy-utils': 2.0.5 - '@chakra-ui/react-children-utils': 2.0.6(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-controllable-state': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-safe-layout-effect': 2.1.0(react@18.2.0) + '@chakra-ui/react-children-utils': 2.0.6(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-controllable-state': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-safe-layout-effect': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/tag@3.1.1(@chakra-ui/system@2.6.2)(react@18.2.0): + /@chakra-ui/tag@3.1.1(@chakra-ui/system@2.6.2)(react@18.3.1): resolution: {integrity: sha512-Bdel79Dv86Hnge2PKOU+t8H28nm/7Y3cKd4Kfk9k3lOpUh4+nkSGe58dhRzht59lEqa4N9waCgQiBdkydjvBXQ==} peerDependencies: '@chakra-ui/system': '>=2.0.0' react: '>=18' dependencies: - '@chakra-ui/icon': 3.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/icon': 3.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/textarea@2.1.2(@chakra-ui/system@2.6.2)(react@18.2.0): + /@chakra-ui/textarea@2.1.2(@chakra-ui/system@2.6.2)(react@18.3.1): resolution: {integrity: sha512-ip7tvklVCZUb2fOHDb23qPy/Fr2mzDOGdkrpbNi50hDCiV4hFX02jdQJdi3ydHZUyVgZVBKPOJ+lT9i7sKA2wA==} peerDependencies: '@chakra-ui/system': '>=2.0.0' react: '>=18' dependencies: - '@chakra-ui/form-control': 2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0) + '@chakra-ui/form-control': 2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + react: 18.3.1 dev: false /@chakra-ui/theme-tools@2.1.2(@chakra-ui/styled-system@2.9.2): @@ -2865,7 +2882,7 @@ packages: '@chakra-ui/theme-tools': 2.1.2(@chakra-ui/styled-system@2.9.2) dev: false - /@chakra-ui/toast@7.0.2(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react-dom@18.2.0)(react@18.2.0): + /@chakra-ui/toast@7.0.2(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react-dom@18.3.1)(react@18.3.1): resolution: {integrity: sha512-yvRP8jFKRs/YnkuE41BVTq9nB2v/KDRmje9u6dgDmE5+1bFt3bwjdf9gVbif4u5Ve7F7BGk5E093ARRVtvLvXA==} peerDependencies: '@chakra-ui/system': 2.6.2 @@ -2873,22 +2890,22 @@ packages: react: '>=18' react-dom: '>=18' dependencies: - '@chakra-ui/alert': 2.2.2(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/portal': 2.1.0(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-timeout': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-update-effect': 2.1.0(react@18.2.0) + '@chakra-ui/alert': 2.2.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/portal': 2.1.0(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-timeout': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-update-effect': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 '@chakra-ui/styled-system': 2.9.2 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) '@chakra-ui/theme': 3.3.1(@chakra-ui/styled-system@2.9.2) - framer-motion: 10.18.0(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) + framer-motion: 10.18.0(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) dev: false - /@chakra-ui/toast@7.0.2(@chakra-ui/system@2.6.2)(framer-motion@11.0.22)(react-dom@18.2.0)(react@18.2.0): + /@chakra-ui/toast@7.0.2(@chakra-ui/system@2.6.2)(framer-motion@11.1.8)(react-dom@18.3.1)(react@18.3.1): resolution: {integrity: sha512-yvRP8jFKRs/YnkuE41BVTq9nB2v/KDRmje9u6dgDmE5+1bFt3bwjdf9gVbif4u5Ve7F7BGk5E093ARRVtvLvXA==} peerDependencies: '@chakra-ui/system': 2.6.2 @@ -2896,22 +2913,22 @@ packages: react: '>=18' react-dom: '>=18' dependencies: - '@chakra-ui/alert': 2.2.2(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/portal': 2.1.0(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/react-context': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-timeout': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-update-effect': 2.1.0(react@18.2.0) + '@chakra-ui/alert': 2.2.2(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/close-button': 2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/portal': 2.1.0(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/react-context': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-timeout': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-update-effect': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 '@chakra-ui/styled-system': 2.9.2 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) '@chakra-ui/theme': 3.3.1(@chakra-ui/styled-system@2.9.2) - framer-motion: 11.0.22(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) + framer-motion: 11.1.8(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) dev: false - /@chakra-ui/tooltip@2.3.1(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react-dom@18.2.0)(react@18.2.0): + /@chakra-ui/tooltip@2.3.1(@chakra-ui/system@2.6.2)(framer-motion@10.18.0)(react-dom@18.3.1)(react@18.3.1): resolution: {integrity: sha512-Rh39GBn/bL4kZpuEMPPRwYNnccRCL+w9OqamWHIB3Qboxs6h8cOyXfIdGxjo72lvhu1QI/a4KFqkM3St+WfC0A==} peerDependencies: '@chakra-ui/system': '>=2.0.0' @@ -2920,20 +2937,20 @@ packages: react-dom: '>=18' dependencies: '@chakra-ui/dom-utils': 2.1.0 - '@chakra-ui/popper': 3.1.0(react@18.2.0) - '@chakra-ui/portal': 2.1.0(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/react-types': 2.0.7(react@18.2.0) - '@chakra-ui/react-use-disclosure': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-event-listener': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.2.0) + '@chakra-ui/popper': 3.1.0(react@18.3.1) + '@chakra-ui/portal': 2.1.0(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/react-types': 2.0.7(react@18.3.1) + '@chakra-ui/react-use-disclosure': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-event-listener': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - framer-motion: 10.18.0(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + framer-motion: 10.18.0(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) dev: false - /@chakra-ui/tooltip@2.3.1(@chakra-ui/system@2.6.2)(framer-motion@11.0.22)(react-dom@18.2.0)(react@18.2.0): + /@chakra-ui/tooltip@2.3.1(@chakra-ui/system@2.6.2)(framer-motion@11.1.8)(react-dom@18.3.1)(react@18.3.1): resolution: {integrity: sha512-Rh39GBn/bL4kZpuEMPPRwYNnccRCL+w9OqamWHIB3Qboxs6h8cOyXfIdGxjo72lvhu1QI/a4KFqkM3St+WfC0A==} peerDependencies: '@chakra-ui/system': '>=2.0.0' @@ -2942,39 +2959,39 @@ packages: react-dom: '>=18' dependencies: '@chakra-ui/dom-utils': 2.1.0 - '@chakra-ui/popper': 3.1.0(react@18.2.0) - '@chakra-ui/portal': 2.1.0(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/react-types': 2.0.7(react@18.2.0) - '@chakra-ui/react-use-disclosure': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-event-listener': 2.1.0(react@18.2.0) - '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.2.0) + '@chakra-ui/popper': 3.1.0(react@18.3.1) + '@chakra-ui/portal': 2.1.0(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/react-types': 2.0.7(react@18.3.1) + '@chakra-ui/react-use-disclosure': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-event-listener': 2.1.0(react@18.3.1) + '@chakra-ui/react-use-merge-refs': 2.1.0(react@18.3.1) '@chakra-ui/shared-utils': 2.0.5 - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - framer-motion: 11.0.22(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + framer-motion: 11.1.8(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) dev: false - /@chakra-ui/transition@2.1.0(framer-motion@10.18.0)(react@18.2.0): + /@chakra-ui/transition@2.1.0(framer-motion@10.18.0)(react@18.3.1): resolution: {integrity: sha512-orkT6T/Dt+/+kVwJNy7zwJ+U2xAZ3EU7M3XCs45RBvUnZDr/u9vdmaM/3D/rOpmQJWgQBwKPJleUXrYWUagEDQ==} peerDependencies: framer-motion: '>=4.0.0' react: '>=18' dependencies: '@chakra-ui/shared-utils': 2.0.5 - framer-motion: 10.18.0(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 + framer-motion: 10.18.0(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 dev: false - /@chakra-ui/transition@2.1.0(framer-motion@11.0.22)(react@18.2.0): + /@chakra-ui/transition@2.1.0(framer-motion@11.1.8)(react@18.3.1): resolution: {integrity: sha512-orkT6T/Dt+/+kVwJNy7zwJ+U2xAZ3EU7M3XCs45RBvUnZDr/u9vdmaM/3D/rOpmQJWgQBwKPJleUXrYWUagEDQ==} peerDependencies: framer-motion: '>=4.0.0' react: '>=18' dependencies: '@chakra-ui/shared-utils': 2.0.5 - framer-motion: 11.0.22(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 + framer-motion: 11.1.8(react-dom@18.3.1)(react@18.3.1) + react: 18.3.1 dev: false /@chakra-ui/utils@2.0.15: @@ -2986,14 +3003,14 @@ packages: lodash.mergewith: 4.6.2 dev: false - /@chakra-ui/visually-hidden@2.2.0(@chakra-ui/system@2.6.2)(react@18.2.0): + /@chakra-ui/visually-hidden@2.2.0(@chakra-ui/system@2.6.2)(react@18.3.1): resolution: {integrity: sha512-KmKDg01SrQ7VbTD3+cPWf/UfpF5MSwm3v7MWi0n5t8HnnadT13MF0MJCDSXbBWnzLv1ZKJ6zlyAOeARWX+DpjQ==} peerDependencies: '@chakra-ui/system': '>=2.0.0' react: '>=18' dependencies: - '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(react@18.2.0) - react: 18.2.0 + '@chakra-ui/system': 2.6.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(react@18.3.1) + react: 18.3.1 dev: false /@colors/colors@1.5.0: @@ -3003,14 +3020,14 @@ packages: dev: true optional: true - /@dagrejs/dagre@1.1.1: - resolution: {integrity: sha512-AQfT6pffEuPE32weFzhS/u3UpX+bRXUARIXL7UqLaxz497cN8pjuBlX6axO4IIECE2gBV8eLFQkGCtKX5sDaUA==} + /@dagrejs/dagre@1.1.2: + resolution: {integrity: sha512-F09dphqvHsbe/6C2t2unbmpr5q41BNPEfJCdn8Z7aEBpVSy/zFQ/b4SWsweQjWNsYMDvE2ffNUN8X0CeFsEGNw==} dependencies: - '@dagrejs/graphlib': 2.2.1 + '@dagrejs/graphlib': 2.2.2 dev: false - /@dagrejs/graphlib@2.2.1: - resolution: {integrity: sha512-xJsN1v6OAxXk6jmNdM+OS/bBE8nDCwM0yDNprXR18ZNatL6to9ggod9+l2XtiLhXfLm0NkE7+Er/cpdlM+SkUA==} + /@dagrejs/graphlib@2.2.2: + resolution: {integrity: 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'@dnd-kit/accessibility': 3.1.0(react@18.3.1) + '@dnd-kit/utilities': 3.2.2(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) tslib: 2.6.2 dev: false - /@dnd-kit/sortable@8.0.0(@dnd-kit/core@6.1.0)(react@18.2.0): + /@dnd-kit/sortable@8.0.0(@dnd-kit/core@6.1.0)(react@18.3.1): resolution: {integrity: sha512-U3jk5ebVXe1Lr7c2wU7SBZjcWdQP+j7peHJfCspnA81enlu88Mgd7CC8Q+pub9ubP7eKVETzJW+IBAhsqbSu/g==} peerDependencies: '@dnd-kit/core': ^6.1.0 react: '>=16.8.0' dependencies: - '@dnd-kit/core': 6.1.0(react-dom@18.2.0)(react@18.2.0) - '@dnd-kit/utilities': 3.2.2(react@18.2.0) - react: 18.2.0 + '@dnd-kit/core': 6.1.0(react-dom@18.3.1)(react@18.3.1) + '@dnd-kit/utilities': 3.2.2(react@18.3.1) + react: 18.3.1 tslib: 2.6.2 dev: false - /@dnd-kit/utilities@3.2.2(react@18.2.0): + /@dnd-kit/utilities@3.2.2(react@18.3.1): resolution: {integrity: sha512-+MKAJEOfaBe5SmV6t34p80MMKhjvUz0vRrvVJbPT0WElzaOJ/1xs+D+KDv+tD/NE5ujfrChEcshd4fLn0wpiqg==} peerDependencies: react: '>=16.8.0' dependencies: - react: 18.2.0 + react: 18.3.1 tslib: 2.6.2 dev: false @@ -3066,10 +3083,10 @@ packages: resolution: {integrity: sha512-m4HEDZleaaCH+XgDDsPF15Ht6wTLsgDTeR3WYj9Q/k76JtWhrJjcP4+/XlG8LGT/Rol9qUfOIztXeA84ATpqPQ==} dependencies: '@babel/helper-module-imports': 7.24.3 - '@babel/runtime': 7.24.1 + '@babel/runtime': 7.24.5 '@emotion/hash': 0.9.1 '@emotion/memoize': 0.8.1 - '@emotion/serialize': 1.1.3 + '@emotion/serialize': 1.1.4 babel-plugin-macros: 3.1.0 convert-source-map: 1.9.0 escape-string-regexp: 4.0.0 @@ -3116,7 +3133,7 @@ packages: resolution: {integrity: sha512-W2P2c/VRW1/1tLox0mVUalvnWXxavmv/Oum2aPsRcoDJuob75FC3Y8FbpfLwUegRcxINtGUMPq0tFCvYNTBXNA==} dev: false - /@emotion/react@11.11.4(@types/react@18.2.73)(react@18.2.0): + /@emotion/react@11.11.4(@types/react@18.3.1)(react@18.3.1): resolution: {integrity: sha512-t8AjMlF0gHpvvxk5mAtCqR4vmxiGHCeJBaQO6gncUSdklELOgtwjerNY2yuJNfwnc6vi16U/+uMF+afIawJ9iw==} peerDependencies: '@types/react': '*' @@ -3125,20 +3142,20 @@ packages: '@types/react': optional: true dependencies: - '@babel/runtime': 7.24.1 + '@babel/runtime': 7.24.5 '@emotion/babel-plugin': 11.11.0 '@emotion/cache': 11.11.0 - '@emotion/serialize': 1.1.3 - '@emotion/use-insertion-effect-with-fallbacks': 1.0.1(react@18.2.0) + '@emotion/serialize': 1.1.4 + '@emotion/use-insertion-effect-with-fallbacks': 1.0.1(react@18.3.1) '@emotion/utils': 1.2.1 '@emotion/weak-memoize': 0.3.1 - '@types/react': 18.2.73 + '@types/react': 18.3.1 hoist-non-react-statics: 3.3.2 - react: 18.2.0 + react: 18.3.1 dev: false - /@emotion/serialize@1.1.3: - resolution: {integrity: sha512-iD4D6QVZFDhcbH0RAG1uVu1CwVLMWUkCvAqqlewO/rxf8+87yIBAlt4+AxMiiKPLs5hFc0owNk/sLLAOROw3cA==} + /@emotion/serialize@1.1.4: + resolution: {integrity: sha512-RIN04MBT8g+FnDwgvIUi8czvr1LU1alUMI05LekWB5DGyTm8cCBMCRpq3GqaiyEDRptEXOyXnvZ58GZYu4kBxQ==} dependencies: '@emotion/hash': 0.9.1 '@emotion/memoize': 0.8.1 @@ -3151,8 +3168,8 @@ packages: resolution: {integrity: 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'@humanwhocodes/object-schema': 2.0.3 debug: 4.3.4 minimatch: 3.1.2 transitivePeerDependencies: @@ -3513,8 +3530,8 @@ packages: engines: {node: '>=12.22'} dev: true - /@humanwhocodes/object-schema@2.0.2: - resolution: {integrity: sha512-6EwiSjwWYP7pTckG6I5eyFANjPhmPjUX9JRLUSfNPC7FX7zK9gyZAfUEaECL6ALTpGX5AjnBq3C9XmVWPitNpw==} + /@humanwhocodes/object-schema@2.0.3: + resolution: {integrity: sha512-93zYdMES/c1D69yZiKDBj0V24vqNzB/koF26KPaagAfd3P/4gUlh3Dys5ogAK+Exi9QyzlD8x/08Zt7wIKcDcA==} dev: true /@internationalized/date@3.5.3: @@ -3523,32 +3540,32 @@ packages: '@swc/helpers': 0.5.11 dev: false - /@internationalized/number@3.5.1: - resolution: {integrity: sha512-N0fPU/nz15SwR9IbfJ5xaS9Ss/O5h1sVXMZf43vc9mxEG48ovglvvzBjF53aHlq20uoR6c+88CrIXipU/LSzwg==} + /@internationalized/number@3.5.2: + resolution: {integrity: sha512-4FGHTi0rOEX1giSkt5MH4/te0eHBq3cvAYsfLlpguV6pzJAReXymiYpE5wPCqKqjkUO3PIsyvk+tBiIV1pZtbA==} dependencies: '@swc/helpers': 0.5.11 dev: false - /@invoke-ai/eslint-config-react@0.0.14(eslint@8.57.0)(prettier@3.2.5)(typescript@5.4.3): + /@invoke-ai/eslint-config-react@0.0.14(eslint@8.57.0)(prettier@3.2.5)(typescript@5.4.5): resolution: {integrity: sha512-6ZUY9zgdDhv2WUoLdDKOQdU9ImnH0CBOFtRlOaNOh34IOsNRfn+JA7wqA0PKnkiNrlfPkIQWhn4GRJp68NT5bw==} peerDependencies: eslint: ^8.56.0 prettier: ^3.2.5 typescript: ^5.3.3 dependencies: - '@typescript-eslint/eslint-plugin': 7.4.0(@typescript-eslint/parser@7.4.0)(eslint@8.57.0)(typescript@5.4.3) - '@typescript-eslint/parser': 7.4.0(eslint@8.57.0)(typescript@5.4.3) + '@typescript-eslint/eslint-plugin': 7.8.0(@typescript-eslint/parser@7.8.0)(eslint@8.57.0)(typescript@5.4.5) + '@typescript-eslint/parser': 7.8.0(eslint@8.57.0)(typescript@5.4.5) eslint: 8.57.0 eslint-config-prettier: 9.1.0(eslint@8.57.0) - eslint-plugin-import: 2.29.1(@typescript-eslint/parser@7.4.0)(eslint@8.57.0) + eslint-plugin-import: 2.29.1(@typescript-eslint/parser@7.8.0)(eslint@8.57.0) eslint-plugin-react: 7.34.1(eslint@8.57.0) - eslint-plugin-react-hooks: 4.6.0(eslint@8.57.0) + eslint-plugin-react-hooks: 4.6.2(eslint@8.57.0) eslint-plugin-react-refresh: 0.4.6(eslint@8.57.0) - eslint-plugin-simple-import-sort: 12.0.0(eslint@8.57.0) - eslint-plugin-storybook: 0.8.0(eslint@8.57.0)(typescript@5.4.3) - eslint-plugin-unused-imports: 3.1.0(@typescript-eslint/eslint-plugin@7.4.0)(eslint@8.57.0) + eslint-plugin-simple-import-sort: 12.1.0(eslint@8.57.0) + eslint-plugin-storybook: 0.8.0(eslint@8.57.0)(typescript@5.4.5) + eslint-plugin-unused-imports: 3.2.0(@typescript-eslint/eslint-plugin@7.8.0)(eslint@8.57.0) prettier: 3.2.5 - typescript: 5.4.3 + typescript: 5.4.5 transitivePeerDependencies: - eslint-import-resolver-typescript - eslint-import-resolver-webpack @@ -3563,36 +3580,36 @@ packages: prettier: 3.2.5 dev: true - /@invoke-ai/ui-library@0.0.25(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.0.17)(@internationalized/date@3.5.3)(@types/react@18.2.73)(i18next@23.10.1)(react-dom@18.2.0)(react@18.2.0): + /@invoke-ai/ui-library@0.0.25(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@fontsource-variable/inter@5.0.18)(@internationalized/date@3.5.3)(@types/react@18.3.1)(i18next@23.11.3)(react-dom@18.3.1)(react@18.3.1): resolution: {integrity: sha512-Fmjdlu62NXHgairYXGjcuCrxPEAl1G6Q6ban8g3excF6pDDdBeS7CmSNCyEDMxnSIOZrQlI04OhaMB17Imi9Uw==} peerDependencies: '@fontsource-variable/inter': ^5.0.16 react: ^18.2.0 react-dom: ^18.2.0 dependencies: - '@ark-ui/react': 1.3.0(@internationalized/date@3.5.3)(react-dom@18.2.0)(react@18.2.0) + '@ark-ui/react': 1.3.0(@internationalized/date@3.5.3)(react-dom@18.3.1)(react@18.3.1) '@chakra-ui/anatomy': 2.2.2 - '@chakra-ui/icons': 2.1.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/layout': 2.3.1(@chakra-ui/system@2.6.2)(react@18.2.0) - '@chakra-ui/portal': 2.1.0(react-dom@18.2.0)(react@18.2.0) - '@chakra-ui/react': 2.8.2(@emotion/react@11.11.4)(@emotion/styled@11.11.0)(@types/react@18.2.73)(framer-motion@10.18.0)(react-dom@18.2.0)(react@18.2.0) + '@chakra-ui/icons': 2.1.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/layout': 2.3.1(@chakra-ui/system@2.6.2)(react@18.3.1) + '@chakra-ui/portal': 2.1.0(react-dom@18.3.1)(react@18.3.1) + '@chakra-ui/react': 2.8.2(@emotion/react@11.11.4)(@emotion/styled@11.11.5)(@types/react@18.3.1)(framer-motion@10.18.0)(react-dom@18.3.1)(react@18.3.1) '@chakra-ui/styled-system': 2.9.2 '@chakra-ui/theme-tools': 2.1.2(@chakra-ui/styled-system@2.9.2) - '@emotion/react': 11.11.4(@types/react@18.2.73)(react@18.2.0) - '@emotion/styled': 11.11.0(@emotion/react@11.11.4)(@types/react@18.2.73)(react@18.2.0) - '@fontsource-variable/inter': 5.0.17 - '@nanostores/react': 0.7.2(nanostores@0.9.5)(react@18.2.0) - chakra-react-select: 4.7.6(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/layout@2.3.1)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@emotion/react@11.11.4)(@types/react@18.2.73)(react-dom@18.2.0)(react@18.2.0) - framer-motion: 10.18.0(react-dom@18.2.0)(react@18.2.0) + '@emotion/react': 11.11.4(@types/react@18.3.1)(react@18.3.1) + '@emotion/styled': 11.11.5(@emotion/react@11.11.4)(@types/react@18.3.1)(react@18.3.1) + '@fontsource-variable/inter': 5.0.18 + '@nanostores/react': 0.7.2(nanostores@0.9.5)(react@18.3.1) + chakra-react-select: 4.7.6(@chakra-ui/form-control@2.2.0)(@chakra-ui/icon@3.2.0)(@chakra-ui/layout@2.3.1)(@chakra-ui/media-query@3.3.0)(@chakra-ui/menu@2.2.1)(@chakra-ui/spinner@2.1.0)(@chakra-ui/system@2.6.2)(@emotion/react@11.11.4)(@types/react@18.3.1)(react-dom@18.3.1)(react@18.3.1) + framer-motion: 10.18.0(react-dom@18.3.1)(react@18.3.1) lodash-es: 4.17.21 nanostores: 0.9.5 - overlayscrollbars: 2.6.1 - overlayscrollbars-react: 0.5.5(overlayscrollbars@2.6.1)(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) - react-i18next: 14.1.0(i18next@23.10.1)(react-dom@18.2.0)(react@18.2.0) - react-icons: 5.0.1(react@18.2.0) - react-select: 5.8.0(@types/react@18.2.73)(react-dom@18.2.0)(react@18.2.0) + overlayscrollbars: 2.7.3 + overlayscrollbars-react: 0.5.6(overlayscrollbars@2.7.3)(react@18.3.1) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + react-i18next: 14.1.1(i18next@23.11.3)(react-dom@18.3.1)(react@18.3.1) + react-icons: 5.2.0(react@18.3.1) + react-select: 5.8.0(@types/react@18.3.1)(react-dom@18.3.1)(react@18.3.1) transitivePeerDependencies: - '@chakra-ui/form-control' - '@chakra-ui/icon' @@ -3625,7 +3642,7 @@ packages: '@sinclair/typebox': 0.27.8 dev: true - /@joshwooding/vite-plugin-react-docgen-typescript@0.3.0(typescript@5.4.3)(vite@5.2.6): + /@joshwooding/vite-plugin-react-docgen-typescript@0.3.0(typescript@5.4.5)(vite@5.2.11): resolution: {integrity: sha512-2D6y7fNvFmsLmRt6UCOFJPvFoPMJGT0Uh1Wg0RaigUp7kdQPs6yYn8Dmx6GZkOH/NW0yMTwRz/p0SRMMRo50vA==} peerDependencies: typescript: '>= 4.3.x' @@ -3637,9 +3654,9 @@ packages: glob: 7.2.3 glob-promise: 4.2.2(glob@7.2.3) magic-string: 0.27.0 - react-docgen-typescript: 2.2.2(typescript@5.4.3) - typescript: 5.4.3 - vite: 5.2.6(@types/node@20.11.30) + react-docgen-typescript: 2.2.2(typescript@5.4.5) + typescript: 5.4.5 + vite: 5.2.11(@types/node@20.12.10) dev: true /@jridgewell/gen-mapping@0.3.5: @@ -3671,38 +3688,38 @@ packages: '@jridgewell/sourcemap-codec': 1.4.15 dev: true - /@mdx-js/react@3.0.1(@types/react@18.2.73)(react@18.2.0): + /@mdx-js/react@3.0.1(@types/react@18.3.1)(react@18.3.1): resolution: {integrity: sha512-9ZrPIU4MGf6et1m1ov3zKf+q9+deetI51zprKB1D/z3NOb+rUxxtEl3mCjW5wTGh6VhRdwPueh1oRzi6ezkA8A==} peerDependencies: '@types/react': '>=16' react: '>=16' dependencies: - '@types/mdx': 2.0.12 - '@types/react': 18.2.73 - react: 18.2.0 + '@types/mdx': 2.0.13 + '@types/react': 18.3.1 + react: 18.3.1 dev: true - /@microsoft/api-extractor-model@7.28.13(@types/node@20.11.30): + /@microsoft/api-extractor-model@7.28.13(@types/node@20.12.10): resolution: {integrity: sha512-39v/JyldX4MS9uzHcdfmjjfS6cYGAoXV+io8B5a338pkHiSt+gy2eXQ0Q7cGFJ7quSa1VqqlMdlPrB6sLR/cAw==} dependencies: '@microsoft/tsdoc': 0.14.2 '@microsoft/tsdoc-config': 0.16.2 - '@rushstack/node-core-library': 4.0.2(@types/node@20.11.30) + '@rushstack/node-core-library': 4.0.2(@types/node@20.12.10) transitivePeerDependencies: - '@types/node' dev: true - /@microsoft/api-extractor@7.43.0(@types/node@20.11.30): + /@microsoft/api-extractor@7.43.0(@types/node@20.12.10): resolution: {integrity: sha512-GFhTcJpB+MI6FhvXEI9b2K0snulNLWHqC/BbcJtyNYcKUiw7l3Lgis5ApsYncJ0leALX7/of4XfmXk+maT111w==} hasBin: true dependencies: - '@microsoft/api-extractor-model': 7.28.13(@types/node@20.11.30) + '@microsoft/api-extractor-model': 7.28.13(@types/node@20.12.10) '@microsoft/tsdoc': 0.14.2 '@microsoft/tsdoc-config': 0.16.2 - '@rushstack/node-core-library': 4.0.2(@types/node@20.11.30) + '@rushstack/node-core-library': 4.0.2(@types/node@20.12.10) '@rushstack/rig-package': 0.5.2 - '@rushstack/terminal': 0.10.0(@types/node@20.11.30) - '@rushstack/ts-command-line': 4.19.1(@types/node@20.11.30) + '@rushstack/terminal': 0.10.0(@types/node@20.12.10) + '@rushstack/ts-command-line': 4.19.1(@types/node@20.12.10) lodash: 4.17.21 minimatch: 3.0.8 resolve: 1.22.8 @@ -3726,18 +3743,18 @@ packages: resolution: {integrity: 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react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + react-transition-group: 4.4.5(react-dom@18.3.1)(react@18.3.1) + use-isomorphic-layout-effect: 1.1.2(@types/react@18.3.1)(react@18.3.1) transitivePeerDependencies: - '@types/react' dev: false - /react-select@5.8.0(@types/react@18.2.73)(react-dom@18.2.0)(react@18.2.0): + /react-select@5.8.0(@types/react@18.3.1)(react-dom@18.3.1)(react@18.3.1): resolution: {integrity: sha512-TfjLDo58XrhP6VG5M/Mi56Us0Yt8X7xD6cDybC7yoRMUNm7BGO7qk8J0TLQOua/prb8vUOtsfnXZwfm30HGsAA==} peerDependencies: react: ^16.8.0 || ^17.0.0 || ^18.0.0 react-dom: ^16.8.0 || ^17.0.0 || ^18.0.0 dependencies: - '@babel/runtime': 7.24.1 + '@babel/runtime': 7.24.5 '@emotion/cache': 11.11.0 - '@emotion/react': 11.11.4(@types/react@18.2.73)(react@18.2.0) - '@floating-ui/dom': 1.6.3 + '@emotion/react': 11.11.4(@types/react@18.3.1)(react@18.3.1) + '@floating-ui/dom': 1.6.5 '@types/react-transition-group': 4.4.10 memoize-one: 6.0.0 prop-types: 15.8.1 - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) - react-transition-group: 4.4.5(react-dom@18.2.0)(react@18.2.0) - use-isomorphic-layout-effect: 1.1.2(@types/react@18.2.73)(react@18.2.0) + react: 18.3.1 + react-dom: 18.3.1(react@18.3.1) + react-transition-group: 4.4.5(react-dom@18.3.1)(react@18.3.1) + use-isomorphic-layout-effect: 1.1.2(@types/react@18.3.1)(react@18.3.1) transitivePeerDependencies: - '@types/react' dev: false - /react-style-singleton@2.2.1(@types/react@18.2.73)(react@18.2.0): + /react-style-singleton@2.2.1(@types/react@18.3.1)(react@18.3.1): resolution: {integrity: sha512-ZWj0fHEMyWkHzKYUr2Bs/4zU6XLmq9HsgBURm7g5pAVfyn49DgUiNgY2d4lXRlYSiCif9YBGpQleewkcqddc7g==} engines: {node: '>=10'} peerDependencies: @@ -11518,38 +11128,38 @@ packages: '@types/react': optional: true dependencies: - '@types/react': 18.2.73 + '@types/react': 18.3.1 get-nonce: 1.0.1 invariant: 2.2.4 - react: 18.2.0 + react: 18.3.1 tslib: 2.6.2 dev: false - /react-transition-group@4.4.5(react-dom@18.2.0)(react@18.2.0): + 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dependencies: + react: 18.3.1 dev: false /util-deprecate@1.0.2: @@ -13132,20 +12707,6 @@ packages: spdx-expression-parse: 3.0.1 dev: true - /validate-npm-package-name@4.0.0: - resolution: {integrity: sha512-mzR0L8ZDktZjpX4OB46KT+56MAhl4EIazWP/+G/HPGuvfdaqg4YsCdtOm6U9+LOFyYDoh4dpnpxZRB9MQQns5Q==} - engines: {node: ^12.13.0 || ^14.15.0 || >=16.0.0} - dependencies: - builtins: 5.0.1 - dev: true - - /validate-npm-package-name@5.0.0: - resolution: {integrity: sha512-YuKoXDAhBYxY7SfOKxHBDoSyENFeW5VvIIQp2TGQuit8gpK6MnWaQelBKxso72DoxTZfZdcP3W90LqpSkgPzLQ==} - engines: {node: ^14.17.0 || ^16.13.0 || >=18.0.0} - dependencies: - builtins: 5.0.1 - dev: true - /validator@13.11.0: resolution: {integrity: sha512-Ii+sehpSfZy+At5nPdnyMhx78fEoPDkR2XW/zimHEL3MyGJQOCQ7WeP20jPYRz7ZCpcKLB21NxuXHF3bxjStBQ==} engines: {node: '>= 0.10'} @@ -13156,15 +12717,8 @@ packages: engines: {node: '>= 0.8'} dev: true - /version-selector-type@3.0.0: - resolution: {integrity: sha512-PSvMIZS7C1MuVNBXl/CDG2pZq8EXy/NW2dHIdm3bVP5N0PC8utDK8ttXLXj44Gn3J0lQE3U7Mpm1estAOd+eiA==} - engines: {node: '>=10.13'} - dependencies: - semver: 7.6.0 - dev: true - - /vite-node@1.4.0(@types/node@20.11.30): - resolution: {integrity: sha512-VZDAseqjrHgNd4Kh8icYHWzTKSCZMhia7GyHfhtzLW33fZlG9SwsB6CEhgyVOWkJfJ2pFLrp/Gj1FSfAiqH9Lw==} + /vite-node@1.6.0(@types/node@20.12.10): + resolution: {integrity: sha512-de6HJgzC+TFzOu0NTC4RAIsyf/DY/ibWDYQUcuEA84EMHhcefTUGkjFHKKEJhQN4A+6I0u++kr3l36ZF2d7XRw==} engines: {node: ^18.0.0 || >=20.0.0} hasBin: true dependencies: @@ -13172,7 +12726,7 @@ packages: debug: 4.3.4 pathe: 1.1.2 picocolors: 1.0.0 - vite: 5.2.6(@types/node@20.11.30) + vite: 5.2.11(@types/node@20.12.10) transitivePeerDependencies: - '@types/node' - less @@ -13184,16 +12738,16 @@ packages: - terser dev: true - /vite-plugin-css-injected-by-js@3.5.0(vite@5.2.6): - resolution: {integrity: sha512-d0QaHH9kS93J25SwRqJNEfE29PSuQS5jn51y9N9i2Yoq0FRO7rjuTeLvjM5zwklZlRrIn6SUdtOEDKyHokgJZg==} + /vite-plugin-css-injected-by-js@3.5.1(vite@5.2.11): + resolution: {integrity: sha512-9ioqwDuEBxW55gNoWFEDhfLTrVKXEEZgl5adhWmmqa88EQGKfTmexy4v1Rh0pAS6RhKQs2bUYQArprB32JpUZQ==} peerDependencies: vite: '>2.0.0-0' dependencies: - vite: 5.2.6(@types/node@20.11.30) + vite: 5.2.11(@types/node@20.12.10) dev: true - /vite-plugin-dts@3.8.0(@types/node@20.11.30)(typescript@5.4.3)(vite@5.2.6): - resolution: {integrity: sha512-wt9ST1MwS5lkxHtA3M30+lSA3TO8RnaUu3YUPmGgY1iKm+vWZmB7KBss6qspyUlto9ynLNHYG2eJ09d2Q4/7Qg==} + /vite-plugin-dts@3.9.1(@types/node@20.12.10)(typescript@5.4.5)(vite@5.2.11): + resolution: {integrity: sha512-rVp2KM9Ue22NGWB8dNtWEr+KekN3rIgz1tWD050QnRGlriUCmaDwa7qA5zDEjbXg5lAXhYMSBJtx3q3hQIJZSg==} engines: {node: ^14.18.0 || >=16.0.0} peerDependencies: typescript: '*' @@ -13202,35 +12756,35 @@ packages: vite: optional: true dependencies: - '@microsoft/api-extractor': 7.43.0(@types/node@20.11.30) + '@microsoft/api-extractor': 7.43.0(@types/node@20.12.10) '@rollup/pluginutils': 5.1.0 - '@vue/language-core': 1.8.27(typescript@5.4.3) + '@vue/language-core': 1.8.27(typescript@5.4.5) debug: 4.3.4 kolorist: 1.8.0 - magic-string: 0.30.8 - typescript: 5.4.3 - vite: 5.2.6(@types/node@20.11.30) - vue-tsc: 1.8.27(typescript@5.4.3) + magic-string: 0.30.10 + typescript: 5.4.5 + vite: 5.2.11(@types/node@20.12.10) + vue-tsc: 1.8.27(typescript@5.4.5) transitivePeerDependencies: - '@types/node' - rollup - supports-color dev: true - /vite-plugin-eslint@1.8.1(eslint@8.57.0)(vite@5.2.6): + /vite-plugin-eslint@1.8.1(eslint@8.57.0)(vite@5.2.11): resolution: {integrity: sha512-PqdMf3Y2fLO9FsNPmMX+//2BF5SF8nEWspZdgl4kSt7UvHDRHVVfHvxsD7ULYzZrJDGRxR81Nq7TOFgwMnUang==} peerDependencies: eslint: '>=7' vite: '>=2' dependencies: '@rollup/pluginutils': 4.2.1 - '@types/eslint': 8.56.6 + '@types/eslint': 8.56.10 eslint: 8.57.0 rollup: 2.79.1 - vite: 5.2.6(@types/node@20.11.30) + vite: 5.2.11(@types/node@20.12.10) dev: true - /vite-tsconfig-paths@4.3.2(typescript@5.4.3)(vite@5.2.6): + /vite-tsconfig-paths@4.3.2(typescript@5.4.5)(vite@5.2.11): resolution: {integrity: sha512-0Vd/a6po6Q+86rPlntHye7F31zA2URZMbH8M3saAZ/xR9QoGN/L21bxEGfXdWmFdNkqPpRdxFT7nmNe12e9/uA==} peerDependencies: vite: '*' @@ -13240,15 +12794,15 @@ packages: dependencies: debug: 4.3.4 globrex: 0.1.2 - tsconfck: 3.0.3(typescript@5.4.3) - vite: 5.2.6(@types/node@20.11.30) + tsconfck: 3.0.3(typescript@5.4.5) + vite: 5.2.11(@types/node@20.12.10) transitivePeerDependencies: - supports-color - typescript dev: true - /vite@5.2.6(@types/node@20.11.30): - resolution: {integrity: sha512-FPtnxFlSIKYjZ2eosBQamz4CbyrTizbZ3hnGJlh/wMtCrlp1Hah6AzBLjGI5I2urTfNnpovpHdrL6YRuBOPnCA==} + /vite@5.2.11(@types/node@20.12.10): + resolution: {integrity: sha512-HndV31LWW05i1BLPMUCE1B9E9GFbOu1MbenhS58FuK6owSO5qHm7GiCotrNY1YE5rMeQSFBGmT5ZaLEjFizgiQ==} engines: {node: ^18.0.0 || >=20.0.0} hasBin: true peerDependencies: @@ -13275,23 +12829,23 @@ packages: terser: optional: true dependencies: - '@types/node': 20.11.30 + '@types/node': 20.12.10 esbuild: 0.20.2 postcss: 8.4.38 - rollup: 4.13.1 + rollup: 4.17.2 optionalDependencies: fsevents: 2.3.3 dev: true - /vitest@1.4.0(@types/node@20.11.30): - resolution: {integrity: sha512-gujzn0g7fmwf83/WzrDTnncZt2UiXP41mHuFYFrdwaLRVQ6JYQEiME2IfEjU3vcFL3VKa75XhI3lFgn+hfVsQw==} + /vitest@1.6.0(@types/node@20.12.10): + resolution: {integrity: sha512-H5r/dN06swuFnzNFhq/dnz37bPXnq8xB2xB5JOVk8K09rUtoeNN+LHWkoQ0A/i3hvbUKKcCei9KpbxqHMLhLLA==} engines: {node: ^18.0.0 || >=20.0.0} hasBin: true peerDependencies: '@edge-runtime/vm': '*' '@types/node': ^18.0.0 || >=20.0.0 - '@vitest/browser': 1.4.0 - '@vitest/ui': 1.4.0 + '@vitest/browser': 1.6.0 + '@vitest/ui': 1.6.0 happy-dom: '*' jsdom: '*' peerDependenciesMeta: @@ -13308,26 +12862,26 @@ packages: jsdom: optional: true dependencies: - '@types/node': 20.11.30 - '@vitest/expect': 1.4.0 - '@vitest/runner': 1.4.0 - '@vitest/snapshot': 1.4.0 - '@vitest/spy': 1.4.0 - '@vitest/utils': 1.4.0 + '@types/node': 20.12.10 + '@vitest/expect': 1.6.0 + '@vitest/runner': 1.6.0 + '@vitest/snapshot': 1.6.0 + '@vitest/spy': 1.6.0 + '@vitest/utils': 1.6.0 acorn-walk: 8.3.2 chai: 4.4.1 debug: 4.3.4 execa: 8.0.1 local-pkg: 0.5.0 - magic-string: 0.30.8 + magic-string: 0.30.10 pathe: 1.1.2 picocolors: 1.0.0 std-env: 3.7.0 - strip-literal: 2.0.0 - tinybench: 2.6.0 - tinypool: 0.8.3 - vite: 5.2.6(@types/node@20.11.30) - vite-node: 1.4.0(@types/node@20.11.30) + strip-literal: 2.1.0 + tinybench: 2.8.0 + tinypool: 0.8.4 + vite: 5.2.11(@types/node@20.12.10) + vite-node: 1.6.0(@types/node@20.12.10) why-is-node-running: 2.2.2 transitivePeerDependencies: - less @@ -13355,16 +12909,16 @@ packages: he: 1.2.0 dev: true - /vue-tsc@1.8.27(typescript@5.4.3): + /vue-tsc@1.8.27(typescript@5.4.5): resolution: {integrity: sha512-WesKCAZCRAbmmhuGl3+VrdWItEvfoFIPXOvUJkjULi+x+6G/Dy69yO3TBRJDr9eUlmsNAwVmxsNZxvHKzbkKdg==} hasBin: true peerDependencies: typescript: '*' dependencies: '@volar/typescript': 1.11.1 - '@vue/language-core': 1.8.27(typescript@5.4.3) + '@vue/language-core': 1.8.27(typescript@5.4.5) semver: 7.6.0 - typescript: 5.4.3 + typescript: 5.4.5 dev: true /watchpack@2.4.1: @@ -13456,14 +13010,6 @@ packages: isexe: 2.0.0 dev: true - /which@4.0.0: - resolution: {integrity: sha512-GlaYyEb07DPxYCKhKzplCWBJtvxZcZMrL+4UkrTSJHHPyZU4mYYTv3qaOe77H7EODLSSopAUFAc6W8U4yqvscg==} - engines: {node: ^16.13.0 || >=18.0.0} - hasBin: true - dependencies: - isexe: 3.1.1 - dev: true - /why-is-node-running@2.2.2: resolution: {integrity: sha512-6tSwToZxTOcotxHeA+qGCq1mVzKR3CwcJGmVcY+QE8SHy6TnpFnh8PAvPNHYr7EcuVeG0QSMxtYCuO1ta/G/oA==} engines: {node: '>=8'} @@ -13473,6 +13019,11 @@ packages: stackback: 0.0.2 dev: true + /word-wrap@1.2.5: + resolution: {integrity: sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==} + engines: {node: '>=0.10.0'} + dev: true + /wordwrap@1.0.0: resolution: {integrity: sha512-gvVzJFlPycKc5dZN4yPkP8w7Dc37BtP1yczEneOb4uq34pXZcvrtRTmWV8W+Ume+XCxKgbjM+nevkyFPMybd4Q==} dev: true @@ -13520,8 +13071,8 @@ packages: optional: true dev: false - /ws@8.16.0: - resolution: {integrity: sha512-HS0c//TP7Ina87TfiPUz1rQzMhHrl/SG2guqRcTOIUYD2q8uhUdNHZYJUaQ8aTGPzCh+c6oawMKW35nFl1dxyQ==} + /ws@8.17.0: + resolution: {integrity: sha512-uJq6108EgZMAl20KagGkzCKfMEjxmKvZHG7Tlq0Z6nOky7YF7aq4mOx6xK8TJ/i1LeK4Qus7INktacctDgY8Ow==} engines: {node: '>=10.0.0'} peerDependencies: bufferutil: ^4.0.1 @@ -13601,18 +13152,18 @@ packages: commander: 9.5.0 dev: true - /zod-validation-error@3.0.3(zod@3.22.4): - resolution: {integrity: sha512-cETTrcMq3Ze58vhdR0zD37uJm/694I6mAxcf/ei5bl89cC++fBNxrC2z8lkFze/8hVMPwrbtrwXHR2LB50fpHw==} + /zod-validation-error@3.2.0(zod@3.23.6): + resolution: {integrity: sha512-cYlPR6zuyrgmu2wRTdumEAJGuwI7eHVHGT+VyneAQxmRAKtGRL1/7pjz4wfLhz4J05f5qoSZc3rGacswgyTjjw==} engines: {node: '>=18.0.0'} peerDependencies: zod: ^3.18.0 dependencies: - zod: 3.22.4 + zod: 3.23.6 - /zod@3.22.4: - resolution: {integrity: sha512-iC+8Io04lddc+mVqQ9AZ7OQ2MrUKGN+oIQyq1vemgt46jwCwLfhq7/pwnBnNXXXZb8VTVLKwp9EDkx+ryxIWmg==} + /zod@3.23.6: + resolution: {integrity: sha512-RTHJlZhsRbuA8Hmp/iNL7jnfc4nZishjsanDAfEY1QpDQZCahUp3xDzl+zfweE9BklxMUcgBgS1b7Lvie/ZVwA==} - /zustand@4.5.2(@types/react@18.2.73)(react@18.2.0): + /zustand@4.5.2(@types/react@18.3.1)(react@18.3.1): resolution: {integrity: sha512-2cN1tPkDVkwCy5ickKrI7vijSjPksFRfqS6237NzT0vqSsztTNnQdHw9mmN7uBdk3gceVXU0a+21jFzFzAc9+g==} engines: {node: '>=12.7.0'} peerDependencies: @@ -13627,7 +13178,7 @@ packages: react: optional: true dependencies: - '@types/react': 18.2.73 - react: 18.2.0 - use-sync-external-store: 1.2.0(react@18.2.0) + '@types/react': 18.3.1 + react: 18.3.1 + use-sync-external-store: 1.2.0(react@18.3.1) dev: false diff --git a/invokeai/frontend/web/public/locales/de.json b/invokeai/frontend/web/public/locales/de.json index 0a104c083b..1db283aabd 100644 --- a/invokeai/frontend/web/public/locales/de.json +++ b/invokeai/frontend/web/public/locales/de.json @@ -76,7 +76,9 @@ "aboutHeading": "Nutzen Sie Ihre kreative Energie", "toResolve": "Lösen", "add": "Hinzufügen", - "loglevel": "Protokoll Stufe" + "loglevel": "Protokoll Stufe", + "selected": "Ausgewählt", + "beta": "Beta" }, "gallery": { "galleryImageSize": "Bildgröße", @@ -86,7 +88,7 @@ "noImagesInGallery": "Keine Bilder in der Galerie", "loading": "Lade", "deleteImage_one": "Lösche Bild", - "deleteImage_other": "", + "deleteImage_other": "Lösche {{count}} Bilder", "copy": "Kopieren", "download": "Runterladen", "setCurrentImage": "Setze aktuelle Bild", @@ -397,7 +399,14 @@ "cancel": "Stornieren", "defaultSettingsSaved": "Standardeinstellungen gespeichert", "addModels": "Model hinzufügen", - "deleteModelImage": "Lösche Model Bild" + "deleteModelImage": "Lösche Model Bild", + "hfTokenInvalidErrorMessage": "Falscher oder fehlender HuggingFace Schlüssel.", + "huggingFaceRepoID": "HuggingFace Repo ID", + "hfToken": "HuggingFace Schlüssel", + "hfTokenInvalid": "Falscher oder fehlender HF Schlüssel", + "huggingFacePlaceholder": "besitzer/model-name", + "hfTokenSaved": "HF Schlüssel gespeichert", + "hfTokenUnableToVerify": "Konnte den HF Schlüssel nicht validieren" }, "parameters": { "images": "Bilder", @@ -686,7 +695,11 @@ "hands": "Hände", "dwOpenpose": "DW Openpose", "dwOpenposeDescription": "Posenschätzung mit DW Openpose", - "selectCLIPVisionModel": "Wähle ein CLIP Vision Model aus" + "selectCLIPVisionModel": "Wähle ein CLIP Vision Model aus", + "ipAdapterMethod": "Methode", + "composition": "Nur Komposition", + "full": "Voll", + "style": "Nur Style" }, "queue": { "status": "Status", @@ -717,7 +730,6 @@ "resume": "Wieder aufnehmen", "item": "Auftrag", "notReady": "Warteschlange noch nicht bereit", - "queueCountPrediction": "{{promptsCount}} Prompts × {{iterations}} Iterationen -> {{count}} Generationen", "clearQueueAlertDialog": "\"Die Warteschlange leeren\" stoppt den aktuellen Prozess und leert die Warteschlange komplett.", "completedIn": "Fertig in", "cancelBatchSucceeded": "Stapel abgebrochen", diff --git a/invokeai/frontend/web/public/locales/en.json b/invokeai/frontend/web/public/locales/en.json index a6d60fa281..7aa4b03b8c 100644 --- a/invokeai/frontend/web/public/locales/en.json +++ b/invokeai/frontend/web/public/locales/en.json @@ -142,8 +142,11 @@ "blue": "Blue", "alpha": "Alpha", "selected": "Selected", - "viewer": "Viewer", - "tab": "Tab" + "tab": "Tab", + "viewing": "Viewing", + "viewingDesc": "Review images in a large gallery view", + "editing": "Editing", + "editingDesc": "Edit on the Control Layers canvas" }, "controlnet": { "controlAdapter_one": "Control Adapter", @@ -258,7 +261,6 @@ "queue": "Queue", "queueFront": "Add to Front of Queue", "queueBack": "Add to Queue", - "queueCountPrediction": "{{promptsCount}} prompts \u00d7 {{iterations}} iterations -> {{count}} generations", "queueEmpty": "Queue Empty", "enqueueing": "Queueing Batch", "resume": "Resume", @@ -311,7 +313,13 @@ "batchFailedToQueue": "Failed to Queue Batch", "graphQueued": "Graph queued", "graphFailedToQueue": "Failed to queue graph", - "openQueue": "Open Queue" + "openQueue": "Open Queue", + "prompts_one": "Prompt", + "prompts_other": "Prompts", + "iterations_one": "Iteration", + "iterations_other": "Iterations", + "generations_one": "Generation", + "generations_other": "Generations" }, "invocationCache": { "invocationCache": "Invocation Cache", @@ -364,8 +372,7 @@ "bulkDownloadRequestFailed": "Problem Preparing Download", "bulkDownloadFailed": "Download Failed", "problemDeletingImages": "Problem Deleting Images", - "problemDeletingImagesDesc": "One or more images could not be deleted", - "switchTo": "Switch to {{ tab }} (Z)" + "problemDeletingImagesDesc": "One or more images could not be deleted" }, "hotkeys": { "searchHotkeys": "Search Hotkeys", @@ -589,13 +596,9 @@ "desc": "Upscale the current image", "title": "Upscale" }, - "backToEditor": { - "desc": "Closes the Image Viewer and shows the Editor View (Text to Image tab only)", - "title": "Back to Editor" - }, - "openImageViewer": { - "desc": "Opens the Image Viewer (Text to Image tab only)", - "title": "Open Image Viewer" + "toggleViewer": { + "desc": "Switches between the Image Viewer and workspace for the current tab.", + "title": "Toggle Image Viewer" } }, "metadata": { @@ -936,17 +939,30 @@ "noModelSelected": "No model selected", "noPrompts": "No prompts generated", "noNodesInGraph": "No nodes in graph", - "systemDisconnected": "System disconnected" + "systemDisconnected": "System disconnected", + "layer": { + "initialImageNoImageSelected": "no initial image selected", + "controlAdapterNoModelSelected": "no Control Adapter model selected", + "controlAdapterIncompatibleBaseModel": "incompatible Control Adapter base model", + "controlAdapterNoImageSelected": "no Control Adapter image selected", + "controlAdapterImageNotProcessed": "Control Adapter image not processed", + "t2iAdapterIncompatibleDimensions": "T2I Adapter requires image dimension to be multiples of 64", + "ipAdapterNoModelSelected": "no IP adapter selected", + "ipAdapterIncompatibleBaseModel": "incompatible IP Adapter base model", + "ipAdapterNoImageSelected": "no IP Adapter image selected", + "rgNoPromptsOrIPAdapters": "no text prompts or IP Adapters", + "rgNoRegion": "no region selected" + } }, "maskBlur": "Mask Blur", "negativePromptPlaceholder": "Negative Prompt", + "globalNegativePromptPlaceholder": "Global Negative Prompt", "noiseThreshold": "Noise Threshold", "patchmatchDownScaleSize": "Downscale", "perlinNoise": "Perlin Noise", "positivePromptPlaceholder": "Positive Prompt", + "globalPositivePromptPlaceholder": "Global Positive Prompt", "iterations": "Iterations", - "iterationsWithCount_one": "{{count}} Iteration", - "iterationsWithCount_other": "{{count}} Iterations", "scale": "Scale", "scaleBeforeProcessing": "Scale Before Processing", "scaledHeight": "Scaled H", @@ -1534,7 +1550,7 @@ "moveForward": "Move Forward", "moveBackward": "Move Backward", "brushSize": "Brush Size", - "controlLayers": "Control Layers (BETA)", + "controlLayers": "Control Layers", "globalMaskOpacity": "Global Mask Opacity", "autoNegative": "Auto Negative", "toggleVisibility": "Toggle Layer Visibility", @@ -1548,8 +1564,6 @@ "addIPAdapter": "Add $t(common.ipAdapter)", "regionalGuidance": "Regional Guidance", "regionalGuidanceLayer": "$t(controlLayers.regionalGuidance) $t(unifiedCanvas.layer)", - "controlNetLayer": "$t(common.controlNet) $t(unifiedCanvas.layer)", - "ipAdapterLayer": "$t(common.ipAdapter) $t(unifiedCanvas.layer)", "opacity": "Opacity", "globalControlAdapter": "Global $t(controlnet.controlAdapter_one)", "globalControlAdapterLayer": "Global $t(controlnet.controlAdapter_one) $t(unifiedCanvas.layer)", @@ -1560,7 +1574,9 @@ "opacityFilter": "Opacity Filter", "clearProcessor": "Clear Processor", "resetProcessor": "Reset Processor to Defaults", - "noLayersAdded": "No Layers Added" + "noLayersAdded": "No Layers Added", + "layers_one": "Layer", + "layers_other": "Layers" }, "ui": { "tabs": { diff --git a/invokeai/frontend/web/public/locales/es.json b/invokeai/frontend/web/public/locales/es.json index 6b410cd0bf..dbdda8e209 100644 --- a/invokeai/frontend/web/public/locales/es.json +++ b/invokeai/frontend/web/public/locales/es.json @@ -25,7 +25,24 @@ "areYouSure": "¿Estas seguro?", "batch": "Administrador de lotes", "modelManager": "Administrador de modelos", - "communityLabel": "Comunidad" + "communityLabel": "Comunidad", + "direction": "Dirección", + "ai": "Ia", + "add": "Añadir", + "auto": "Automático", + "copyError": "Error $t(gallery.copy)", + "details": "Detalles", + "or": "o", + "checkpoint": "Punto de control", + "controlNet": "ControlNet", + "aboutHeading": "Sea dueño de su poder creativo", + "advanced": "Avanzado", + "data": "Fecha", + "delete": "Borrar", + "copy": "Copiar", + "beta": "Beta", + "on": "En", + "aboutDesc": "¿Utilizas Invoke para trabajar? Mira aquí:" }, "gallery": { "galleryImageSize": "Tamaño de la imagen", @@ -443,7 +460,13 @@ "previousImage": "Imagen anterior", "nextImage": "Siguiente imagen", "showOptionsPanel": "Mostrar el panel lateral", - "menu": "Menú" + "menu": "Menú", + "showGalleryPanel": "Mostrar panel de galería", + "loadMore": "Cargar más", + "about": "Acerca de", + "createIssue": "Crear un problema", + "resetUI": "Interfaz de usuario $t(accessibility.reset)", + "mode": "Modo" }, "nodes": { "zoomInNodes": "Acercar", @@ -456,5 +479,68 @@ "reloadNodeTemplates": "Recargar las plantillas de nodos", "loadWorkflow": "Cargar el flujo de trabajo", "downloadWorkflow": "Descargar el flujo de trabajo en un archivo JSON" + }, + "boards": { + "autoAddBoard": "Agregar panel automáticamente", + "changeBoard": "Cambiar el panel", + "clearSearch": "Borrar la búsqueda", + "deleteBoard": "Borrar el panel", + "selectBoard": "Seleccionar un panel", + "uncategorized": "Sin categoría", + "cancel": "Cancelar", + "addBoard": "Agregar un panel", + "movingImagesToBoard_one": "Moviendo {{count}} imagen al panel:", + "movingImagesToBoard_many": "Moviendo {{count}} imágenes al panel:", + "movingImagesToBoard_other": "Moviendo {{count}} imágenes al panel:", + "bottomMessage": "Al eliminar este panel y las imágenes que contiene, se restablecerán las funciones que los estén utilizando actualmente.", + "deleteBoardAndImages": "Borrar el panel y las imágenes", + "loading": "Cargando...", + "deletedBoardsCannotbeRestored": "Los paneles eliminados no se pueden restaurar", + "move": "Mover", + "menuItemAutoAdd": "Agregar automáticamente a este panel", + "searchBoard": "Buscando paneles…", + "topMessage": "Este panel contiene imágenes utilizadas en las siguientes funciones:", + "downloadBoard": "Descargar panel", + "deleteBoardOnly": "Borrar solo el panel", + "myBoard": "Mi panel", + "noMatching": "No hay paneles que coincidan" + }, + "accordions": { + "compositing": { + "title": "Composición", + "infillTab": "Relleno" + }, + "generation": { + "title": "Generación" + }, + "image": { + "title": "Imagen" + }, + "control": { + "title": "Control" + }, + "advanced": { + "options": "$t(accordions.advanced.title) opciones", + "title": "Avanzado" + } + }, + "ui": { + "tabs": { + "generationTab": "$t(ui.tabs.generation) $t(common.tab)", + "canvas": "Lienzo", + "generation": "Generación", + "queue": "Cola", + "queueTab": "$t(ui.tabs.queue) $t(common.tab)", + "workflows": "Flujos de trabajo", + "models": "Modelos", + "modelsTab": "$t(ui.tabs.models) $t(common.tab)", + "canvasTab": "$t(ui.tabs.canvas) $t(common.tab)", + "workflowsTab": "$t(ui.tabs.workflows) $t(common.tab)" + } + }, + "controlLayers": { + "layers_one": "Capa", + "layers_many": "Capas", + "layers_other": "Capas" } } diff --git a/invokeai/frontend/web/public/locales/it.json b/invokeai/frontend/web/public/locales/it.json index 491b31907b..f365b43e10 100644 --- a/invokeai/frontend/web/public/locales/it.json +++ b/invokeai/frontend/web/public/locales/it.json @@ -5,7 +5,7 @@ "reportBugLabel": "Segnala un errore", "settingsLabel": "Impostazioni", "img2img": "Immagine a Immagine", - "unifiedCanvas": "Tela unificata", + "unifiedCanvas": "Tela", "nodes": "Flussi di lavoro", "upload": "Caricamento", "load": "Carica", @@ -74,7 +74,18 @@ "file": "File", "toResolve": "Da risolvere", "add": "Aggiungi", - "loglevel": "Livello di log" + "loglevel": "Livello di log", + "beta": "Beta", + "positivePrompt": "Prompt positivo", + "negativePrompt": "Prompt negativo", + "selected": "Selezionato", + "goTo": "Vai a", + "editor": "Editor", + "tab": "Scheda", + "viewing": "Visualizza", + "viewingDesc": "Rivedi le immagini in un'ampia vista della galleria", + "editing": "Modifica", + "editingDesc": "Modifica nell'area Livelli di controllo" }, "gallery": { "galleryImageSize": "Dimensione dell'immagine", @@ -180,8 +191,8 @@ "desc": "Mostra le informazioni sui metadati dell'immagine corrente" }, "sendToImageToImage": { - "title": "Invia a Immagine a Immagine", - "desc": "Invia l'immagine corrente a da Immagine a Immagine" + "title": "Invia a Generazione da immagine", + "desc": "Invia l'immagine corrente a Generazione da immagine" }, "deleteImage": { "title": "Elimina immagine", @@ -334,6 +345,10 @@ "remixImage": { "desc": "Utilizza tutti i parametri tranne il seme dell'immagine corrente", "title": "Remixa l'immagine" + }, + "toggleViewer": { + "title": "Attiva/disattiva il visualizzatore di immagini", + "desc": "Passa dal Visualizzatore immagini all'area di lavoro per la scheda corrente." } }, "modelManager": { @@ -471,8 +486,8 @@ "scaledHeight": "Altezza ridimensionata", "infillMethod": "Metodo di riempimento", "tileSize": "Dimensione piastrella", - "sendToImg2Img": "Invia a Immagine a Immagine", - "sendToUnifiedCanvas": "Invia a Tela Unificata", + "sendToImg2Img": "Invia a Generazione da immagine", + "sendToUnifiedCanvas": "Invia alla Tela", "downloadImage": "Scarica l'immagine", "usePrompt": "Usa Prompt", "useSeed": "Usa Seme", @@ -508,13 +523,11 @@ "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" + "missingFieldTemplate": "Modello di campo mancante", + "imageNotProcessedForControlAdapter": "L'immagine dell'adattatore di controllo #{{number}} non è stata elaborata" }, "useCpuNoise": "Usa la CPU per generare rumore", "iterations": "Iterazioni", - "iterationsWithCount_one": "{{count}} Iterazione", - "iterationsWithCount_many": "{{count}} Iterazioni", - "iterationsWithCount_other": "{{count}} Iterazioni", "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" @@ -534,7 +547,10 @@ "infillMosaicMinColor": "Colore minimo", "infillMosaicMaxColor": "Colore massimo", "infillMosaicTileHeight": "Altezza piastrella", - "infillColorValue": "Colore di riempimento" + "infillColorValue": "Colore di riempimento", + "globalSettings": "Impostazioni globali", + "globalPositivePromptPlaceholder": "Prompt positivo globale", + "globalNegativePromptPlaceholder": "Prompt negativo globale" }, "settings": { "models": "Modelli", @@ -559,7 +575,7 @@ "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.", + "clearIntermediatesDesc1": "La cancellazione delle immagini intermedie ripristinerà lo stato della Tela e degli Adattatori di Controllo.", "intermediatesClearedFailed": "Problema con la cancellazione delle immagini intermedie", "clearIntermediatesWithCount_one": "Cancella {{count}} immagine intermedia", "clearIntermediatesWithCount_many": "Cancella {{count}} immagini intermedie", @@ -575,8 +591,8 @@ "imageCopied": "Immagine copiata", "imageNotLoadedDesc": "Impossibile trovare l'immagine", "canvasMerged": "Tela unita", - "sentToImageToImage": "Inviato a Immagine a Immagine", - "sentToUnifiedCanvas": "Inviato a Tela Unificata", + "sentToImageToImage": "Inviato a Generazione da immagine", + "sentToUnifiedCanvas": "Inviato alla Tela", "parametersNotSet": "Parametri non impostati", "metadataLoadFailed": "Impossibile caricare i metadati", "serverError": "Errore del Server", @@ -795,7 +811,7 @@ "float": "In virgola mobile", "currentImageDescription": "Visualizza l'immagine corrente nell'editor dei nodi", "fieldTypesMustMatch": "I tipi di campo devono corrispondere", - "edge": "Bordo", + "edge": "Collegamento", "currentImage": "Immagine corrente", "integer": "Numero Intero", "inputMayOnlyHaveOneConnection": "L'ingresso può avere solo una connessione", @@ -845,7 +861,9 @@ "resetToDefaultValue": "Ripristina il valore predefinito", "noFieldsViewMode": "Questo flusso di lavoro non ha campi selezionati da visualizzare. Visualizza il flusso di lavoro completo per configurare i valori.", "edit": "Modifica", - "graph": "Grafico" + "graph": "Grafico", + "showEdgeLabelsHelp": "Mostra etichette sui collegamenti, che indicano i nodi collegati", + "showEdgeLabels": "Mostra le etichette del collegamento" }, "boards": { "autoAddBoard": "Aggiungi automaticamente bacheca", @@ -922,7 +940,7 @@ "colorMapTileSize": "Dimensione piastrella", "mediapipeFaceDescription": "Rilevamento dei volti tramite Mediapipe", "hedDescription": "Rilevamento dei bordi nidificati olisticamente", - "setControlImageDimensions": "Imposta le dimensioni dell'immagine di controllo su L/A", + "setControlImageDimensions": "Copia le dimensioni in L/A (ottimizza per il modello)", "maxFaces": "Numero massimo di volti", "addT2IAdapter": "Aggiungi $t(common.t2iAdapter)", "addControlNet": "Aggiungi $t(common.controlNet)", @@ -951,12 +969,17 @@ "mediapipeFace": "Mediapipe Volto", "ip_adapter": "$t(controlnet.controlAdapter_one) #{{number}} ($t(common.ipAdapter))", "t2i_adapter": "$t(controlnet.controlAdapter_one) #{{number}} ($t(common.t2iAdapter))", - "selectCLIPVisionModel": "Seleziona un modello CLIP Vision" + "selectCLIPVisionModel": "Seleziona un modello CLIP Vision", + "ipAdapterMethod": "Metodo", + "full": "Completo", + "composition": "Solo la composizione", + "style": "Solo lo stile", + "beginEndStepPercentShort": "Inizio/Fine %", + "setControlImageDimensionsForce": "Copia le dimensioni in L/A (ignora il modello)" }, "queue": { "queueFront": "Aggiungi all'inizio della coda", "queueBack": "Aggiungi alla coda", - "queueCountPrediction": "{{promptsCount}} prompt × {{iterations}} iterazioni -> {{count}} generazioni", "queue": "Coda", "status": "Stato", "pruneSucceeded": "Rimossi {{item_count}} elementi completati dalla coda", @@ -993,7 +1016,7 @@ "cancelBatchSucceeded": "Lotto annullato", "clearTooltip": "Annulla e cancella tutti gli elementi", "current": "Attuale", - "pauseTooltip": "Sospende l'elaborazione", + "pauseTooltip": "Sospendi l'elaborazione", "failed": "Falliti", "cancelItem": "Annulla l'elemento", "next": "Prossimo", @@ -1394,6 +1417,12 @@ "paragraphs": [ "La dimensione del bordo del passaggio di coerenza." ] + }, + "ipAdapterMethod": { + "heading": "Metodo", + "paragraphs": [ + "Metodo con cui applicare l'adattatore IP corrente." + ] } }, "sdxl": { @@ -1522,5 +1551,56 @@ "compatibleEmbeddings": "Incorporamenti compatibili", "addPromptTrigger": "Aggiungi Trigger nel prompt", "noMatchingTriggers": "Nessun Trigger corrispondente" + }, + "controlLayers": { + "opacityFilter": "Filtro opacità", + "deleteAll": "Cancella tutto", + "addLayer": "Aggiungi Livello", + "moveToFront": "Sposta in primo piano", + "moveToBack": "Sposta in fondo", + "moveForward": "Sposta avanti", + "moveBackward": "Sposta indietro", + "brushSize": "Dimensioni del pennello", + "globalMaskOpacity": "Opacità globale della maschera", + "autoNegative": "Auto Negativo", + "toggleVisibility": "Attiva/disattiva la visibilità dei livelli", + "deletePrompt": "Cancella il prompt", + "debugLayers": "Debug dei Livelli", + "rectangle": "Rettangolo", + "maskPreviewColor": "Colore anteprima maschera", + "addPositivePrompt": "Aggiungi $t(common.positivePrompt)", + "addNegativePrompt": "Aggiungi $t(common.negativePrompt)", + "addIPAdapter": "Aggiungi $t(common.ipAdapter)", + "regionalGuidance": "Guida regionale", + "regionalGuidanceLayer": "$t(unifiedCanvas.layer) $t(controlLayers.regionalGuidance)", + "opacity": "Opacità", + "globalControlAdapter": "$t(controlnet.controlAdapter_one) Globale", + "globalControlAdapterLayer": "$t(controlnet.controlAdapter_one) - $t(unifiedCanvas.layer) Globale", + "globalIPAdapter": "$t(common.ipAdapter) Globale", + "globalIPAdapterLayer": "$t(common.ipAdapter) - $t(unifiedCanvas.layer) Globale", + "globalInitialImage": "Immagine iniziale", + "globalInitialImageLayer": "$t(controlLayers.globalInitialImage) - $t(unifiedCanvas.layer) Globale", + "clearProcessor": "Cancella processore", + "resetProcessor": "Ripristina il processore alle impostazioni predefinite", + "noLayersAdded": "Nessun livello aggiunto", + "resetRegion": "Reimposta la regione", + "controlLayers": "Livelli di controllo", + "layers_one": "Livello", + "layers_many": "Livelli", + "layers_other": "Livelli" + }, + "ui": { + "tabs": { + "generation": "Generazione", + "generationTab": "$t(ui.tabs.generation) $t(common.tab)", + "canvas": "Tela", + "canvasTab": "$t(ui.tabs.canvas) $t(common.tab)", + "workflows": "Flussi di lavoro", + "workflowsTab": "$t(ui.tabs.workflows) $t(common.tab)", + "models": "Modelli", + "modelsTab": "$t(ui.tabs.models) $t(common.tab)", + "queue": "Coda", + "queueTab": "$t(ui.tabs.queue) $t(common.tab)" + } } } diff --git a/invokeai/frontend/web/public/locales/ja.json b/invokeai/frontend/web/public/locales/ja.json index 264593153a..e953944c44 100644 --- a/invokeai/frontend/web/public/locales/ja.json +++ b/invokeai/frontend/web/public/locales/ja.json @@ -570,7 +570,6 @@ "pauseSucceeded": "処理が一時停止されました", "queueFront": "キューの先頭へ追加", "queueBack": "キューに追加", - "queueCountPrediction": "{{promptsCount}} プロンプト × {{iterations}} イテレーション -> {{count}} 枚生成", "pause": "一時停止", "queue": "キュー", "pauseTooltip": "処理を一時停止", diff --git a/invokeai/frontend/web/public/locales/ko.json b/invokeai/frontend/web/public/locales/ko.json index 1c02d86105..db9cd0ca67 100644 --- a/invokeai/frontend/web/public/locales/ko.json +++ b/invokeai/frontend/web/public/locales/ko.json @@ -505,7 +505,6 @@ "completed": "완성된", "queueBack": "Queue에 추가", "cancelFailed": "항목 취소 중 발생한 문제", - "queueCountPrediction": "Queue에 {{predicted}} 추가", "batchQueued": "Batch Queued", "pauseFailed": "프로세서 중지 중 발생한 문제", "clearFailed": "Queue 제거 중 발생한 문제", diff --git a/invokeai/frontend/web/public/locales/nl.json b/invokeai/frontend/web/public/locales/nl.json index 29ceb3227b..76377bd215 100644 --- a/invokeai/frontend/web/public/locales/nl.json +++ b/invokeai/frontend/web/public/locales/nl.json @@ -383,8 +383,6 @@ "useCpuNoise": "Gebruik CPU-ruis", "imageActions": "Afbeeldingshandeling", "iterations": "Iteraties", - "iterationsWithCount_one": "{{count}} iteratie", - "iterationsWithCount_other": "{{count}} iteraties", "coherenceMode": "Modus" }, "settings": { @@ -940,7 +938,6 @@ "completed": "Voltooid", "queueBack": "Voeg toe aan wachtrij", "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", diff --git a/invokeai/frontend/web/public/locales/ru.json b/invokeai/frontend/web/public/locales/ru.json index f254b7faa5..7fa1b73e7a 100644 --- a/invokeai/frontend/web/public/locales/ru.json +++ b/invokeai/frontend/web/public/locales/ru.json @@ -76,7 +76,18 @@ "localSystem": "Локальная система", "aboutDesc": "Используя Invoke для работы? Проверьте это:", "add": "Добавить", - "loglevel": "Уровень логов" + "loglevel": "Уровень логов", + "beta": "Бета", + "selected": "Выбрано", + "positivePrompt": "Позитивный запрос", + "negativePrompt": "Негативный запрос", + "editor": "Редактор", + "goTo": "Перейти к", + "tab": "Вкладка", + "viewing": "Просмотр", + "editing": "Редактирование", + "viewingDesc": "Просмотр изображений в режиме большой галереи", + "editingDesc": "Редактировать на холсте слоёв управления" }, "gallery": { "galleryImageSize": "Размер изображений", @@ -87,8 +98,8 @@ "deleteImagePermanent": "Удаленные изображения невозможно восстановить.", "deleteImageBin": "Удаленные изображения будут отправлены в корзину вашей операционной системы.", "deleteImage_one": "Удалить изображение", - "deleteImage_few": "", - "deleteImage_many": "", + "deleteImage_few": "Удалить {{count}} изображения", + "deleteImage_many": "Удалить {{count}} изображений", "assets": "Ресурсы", "autoAssignBoardOnClick": "Авто-назначение доски по клику", "deleteSelection": "Удалить выделенное", @@ -336,6 +347,10 @@ "remixImage": { "desc": "Используйте все параметры, кроме сида из текущего изображения", "title": "Ремикс изображения" + }, + "toggleViewer": { + "title": "Переключить просмотр изображений", + "desc": "Переключение между средством просмотра изображений и рабочей областью для текущей вкладки." } }, "modelManager": { @@ -512,7 +527,8 @@ "missingNodeTemplate": "Отсутствует шаблон узла", "missingFieldTemplate": "Отсутствует шаблон поля", "addingImagesTo": "Добавление изображений в", - "invoke": "Создать" + "invoke": "Создать", + "imageNotProcessedForControlAdapter": "Изображение адаптера контроля №{{number}} не обрабатывается" }, "isAllowedToUpscale": { "useX2Model": "Изображение слишком велико для увеличения с помощью модели x4. Используйте модель x2", @@ -523,9 +539,6 @@ "useCpuNoise": "Использовать шум CPU", "imageActions": "Действия с изображениями", "iterations": "Кол-во", - "iterationsWithCount_one": "{{count}} Интеграция", - "iterationsWithCount_few": "{{count}} Итерации", - "iterationsWithCount_many": "{{count}} Итераций", "useSize": "Использовать размер", "coherenceMode": "Режим", "aspect": "Соотношение", @@ -541,7 +554,10 @@ "infillMosaicTileHeight": "Высота плиток", "infillMosaicMinColor": "Мин цвет", "infillMosaicMaxColor": "Макс цвет", - "infillColorValue": "Цвет заливки" + "infillColorValue": "Цвет заливки", + "globalSettings": "Глобальные настройки", + "globalNegativePromptPlaceholder": "Глобальный негативный запрос", + "globalPositivePromptPlaceholder": "Глобальный запрос" }, "settings": { "models": "Модели", @@ -706,7 +722,9 @@ "coherenceModeBoxBlur": "коробчатое размытие", "discardCurrent": "Отбросить текущее", "invertBrushSizeScrollDirection": "Инвертировать прокрутку для размера кисти", - "initialFitImageSize": "Подогнать размер изображения при перебросе" + "initialFitImageSize": "Подогнать размер изображения при перебросе", + "hideBoundingBox": "Скрыть ограничительную рамку", + "showBoundingBox": "Показать ограничительную рамку" }, "accessibility": { "uploadImage": "Загрузить изображение", @@ -849,7 +867,10 @@ "editMode": "Открыть в редакторе узлов", "resetToDefaultValue": "Сбросить к стандартному значкнию", "edit": "Редактировать", - "noFieldsViewMode": "В этом рабочем процессе нет выбранных полей для отображения. Просмотрите полный рабочий процесс для настройки значений." + "noFieldsViewMode": "В этом рабочем процессе нет выбранных полей для отображения. Просмотрите полный рабочий процесс для настройки значений.", + "graph": "График", + "showEdgeLabels": "Показать метки на ребрах", + "showEdgeLabelsHelp": "Показать метки на ребрах, указывающие на соединенные узлы" }, "controlnet": { "amult": "a_mult", @@ -917,8 +938,8 @@ "lineartAnime": "Контурный рисунок в стиле аниме", "mediapipeFaceDescription": "Обнаружение лиц с помощью Mediapipe", "hedDescription": "Целостное обнаружение границ", - "setControlImageDimensions": "Установите размеры контрольного изображения на Ш/В", - "scribble": "каракули", + "setControlImageDimensions": "Скопируйте размер в Ш/В (оптимизируйте для модели)", + "scribble": "Штрихи", "maxFaces": "Макс Лица", "mlsdDescription": "Минималистичный детектор отрезков линии", "resizeSimple": "Изменить размер (простой)", @@ -933,7 +954,18 @@ "small": "Маленький", "body": "Тело", "hands": "Руки", - "selectCLIPVisionModel": "Выбрать модель CLIP Vision" + "selectCLIPVisionModel": "Выбрать модель CLIP Vision", + "ipAdapterMethod": "Метод", + "full": "Всё", + "mlsd": "M-LSD", + "h": "H", + "style": "Только стиль", + "dwOpenpose": "DW Openpose", + "pidi": "PIDI", + "composition": "Только композиция", + "hed": "HED", + "beginEndStepPercentShort": "Начало/конец %", + "setControlImageDimensionsForce": "Скопируйте размер в Ш/В (игнорируйте модель)" }, "boards": { "autoAddBoard": "Авто добавление Доски", @@ -1312,6 +1344,12 @@ "paragraphs": [ "Плавно укладывайте изображение вдоль вертикальной оси." ] + }, + "ipAdapterMethod": { + "heading": "Метод", + "paragraphs": [ + "Метод, с помощью которого применяется текущий IP-адаптер." + ] } }, "metadata": { @@ -1359,7 +1397,6 @@ "completed": "Выполнено", "queueBack": "Добавить в очередь", "cancelFailed": "Проблема с отменой элемента", - "queueCountPrediction": "{{promptsCount}} запросов × {{iterations}} изображений -> {{count}} генераций", "batchQueued": "Пакетная очередь", "pauseFailed": "Проблема с приостановкой рендеринга", "clearFailed": "Проблема с очисткой очереди", @@ -1475,7 +1512,11 @@ "projectWorkflows": "Рабочие процессы проекта", "defaultWorkflows": "Стандартные рабочие процессы", "name": "Имя", - "noRecentWorkflows": "Нет последних рабочих процессов" + "noRecentWorkflows": "Нет последних рабочих процессов", + "loadWorkflow": "Рабочий процесс $t(common.load)", + "convertGraph": "Конвертировать график", + "loadFromGraph": "Загрузка рабочего процесса из графика", + "autoLayout": "Автоматическое расположение" }, "hrf": { "enableHrf": "Включить исправление высокого разрешения", @@ -1528,5 +1569,56 @@ "addPromptTrigger": "Добавить триггер запроса", "compatibleEmbeddings": "Совместимые встраивания", "noMatchingTriggers": "Нет соответствующих триггеров" + }, + "controlLayers": { + "moveToBack": "На задний план", + "moveForward": "Переместить вперёд", + "moveBackward": "Переместить назад", + "brushSize": "Размер кисти", + "controlLayers": "Слои управления", + "globalMaskOpacity": "Глобальная непрозрачность маски", + "autoNegative": "Авто негатив", + "deletePrompt": "Удалить запрос", + "resetRegion": "Сбросить регион", + "debugLayers": "Слои отладки", + "rectangle": "Прямоугольник", + "maskPreviewColor": "Цвет предпросмотра маски", + "addNegativePrompt": "Добавить $t(common.negativePrompt)", + "regionalGuidance": "Региональная точность", + "opacity": "Непрозрачность", + "globalControlAdapter": "Глобальный $t(controlnet.controlAdapter_one)", + "globalControlAdapterLayer": "Глобальный $t(controlnet.controlAdapter_one) $t(unifiedCanvas.layer)", + "globalIPAdapter": "Глобальный $t(common.ipAdapter)", + "globalIPAdapterLayer": "Глобальный $t(common.ipAdapter) $t(unifiedCanvas.layer)", + "opacityFilter": "Фильтр непрозрачности", + "deleteAll": "Удалить всё", + "addLayer": "Добавить слой", + "moveToFront": "На передний план", + "toggleVisibility": "Переключить видимость слоя", + "addPositivePrompt": "Добавить $t(common.positivePrompt)", + "addIPAdapter": "Добавить $t(common.ipAdapter)", + "regionalGuidanceLayer": "$t(controlLayers.regionalGuidance) $t(unifiedCanvas.layer)", + "resetProcessor": "Сброс процессора по умолчанию", + "clearProcessor": "Чистый процессор", + "globalInitialImage": "Глобальное исходное изображение", + "globalInitialImageLayer": "$t(controlLayers.globalInitialImage) $t(unifiedCanvas.layer)", + "noLayersAdded": "Без слоев", + "layers_one": "Слой", + "layers_few": "Слоя", + "layers_many": "Слоев" + }, + "ui": { + "tabs": { + "generation": "Генерация", + "canvas": "Холст", + "workflowsTab": "$t(ui.tabs.workflows) $t(common.tab)", + "models": "Модели", + "generationTab": "$t(ui.tabs.generation) $t(common.tab)", + "workflows": "Рабочие процессы", + "canvasTab": "$t(ui.tabs.canvas) $t(common.tab)", + "queueTab": "$t(ui.tabs.queue) $t(common.tab)", + "modelsTab": "$t(ui.tabs.models) $t(common.tab)", + "queue": "Очередь" + } } } diff --git a/invokeai/frontend/web/public/locales/zh_CN.json b/invokeai/frontend/web/public/locales/zh_CN.json index 8aff73d2a1..45bab5c6da 100644 --- a/invokeai/frontend/web/public/locales/zh_CN.json +++ b/invokeai/frontend/web/public/locales/zh_CN.json @@ -66,7 +66,7 @@ "saveAs": "保存为", "ai": "ai", "or": "或", - "aboutDesc": "使用 Invoke 工作？查看：", + "aboutDesc": "使用 Invoke 工作？来看看：", "add": "添加", "loglevel": "日志级别", "copy": "复制", @@ -445,7 +445,6 @@ "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", "cfgRescaleMultiplier": "CFG 重缩放倍数", "useSize": "使用尺寸", "setToOptimalSize": "优化模型大小", @@ -853,7 +852,6 @@ "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", - "queueCountPrediction": "{{promptsCount}} 提示词 × {{iterations}} 迭代次数 -> {{count}} 次生成", "batchQueued": "加入队列的批次", "front": "前", "pruneTooltip": "修剪 {{item_count}} 个已完成的项目", diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlAdapterPreprocessor.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlAdapterPreprocessor.ts index 7d5aa27f20..a1f7ebcca1 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlAdapterPreprocessor.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/controlAdapterPreprocessor.ts @@ -1,60 +1,54 @@ import { isAnyOf } from '@reduxjs/toolkit'; import { logger } from 'app/logging/logger'; import type { AppStartListening } from 'app/store/middleware/listenerMiddleware'; +import type { AppDispatch } from 'app/store/store'; import { parseify } from 'common/util/serialize'; import { caLayerImageChanged, - caLayerIsProcessingImageChanged, caLayerModelChanged, caLayerProcessedImageChanged, caLayerProcessorConfigChanged, + caLayerProcessorPendingBatchIdChanged, + caLayerRecalled, isControlAdapterLayer, } from 'features/controlLayers/store/controlLayersSlice'; import { CA_PROCESSOR_DATA } from 'features/controlLayers/util/controlAdapters'; import { isImageOutput } from 'features/nodes/types/common'; import { addToast } from 'features/system/store/systemSlice'; import { t } from 'i18next'; -import { isEqual } from 'lodash-es'; -import { imagesApi } from 'services/api/endpoints/images'; +import { getImageDTO } from 'services/api/endpoints/images'; import { queueApi } from 'services/api/endpoints/queue'; -import type { BatchConfig, ImageDTO } from 'services/api/types'; +import type { BatchConfig } from 'services/api/types'; import { socketInvocationComplete } from 'services/events/actions'; +import { assert } from 'tsafe'; -const matcher = isAnyOf(caLayerImageChanged, caLayerProcessorConfigChanged, caLayerModelChanged); +const matcher = isAnyOf(caLayerImageChanged, caLayerProcessorConfigChanged, caLayerModelChanged, caLayerRecalled); const DEBOUNCE_MS = 300; const log = logger('session'); +/** + * Simple helper to cancel a batch and reset the pending batch ID + */ +const cancelProcessorBatch = async (dispatch: AppDispatch, layerId: string, batchId: string) => { + const req = dispatch(queueApi.endpoints.cancelByBatchIds.initiate({ batch_ids: [batchId] })); + log.trace({ batchId }, 'Cancelling existing preprocessor batch'); + try { + await req.unwrap(); + } catch { + // no-op + } finally { + req.reset(); + // Always reset the pending batch ID - the cancel req could fail if the batch doesn't exist + dispatch(caLayerProcessorPendingBatchIdChanged({ layerId, batchId: null })); + } +}; + export const addControlAdapterPreprocessor = (startAppListening: AppStartListening) => { startAppListening({ matcher, - effect: async (action, { dispatch, getState, getOriginalState, cancelActiveListeners, delay, take }) => { - const { layerId } = action.payload; - const precheckLayerOriginal = getOriginalState() - .controlLayers.present.layers.filter(isControlAdapterLayer) - .find((l) => l.id === layerId); - const precheckLayer = getState() - .controlLayers.present.layers.filter(isControlAdapterLayer) - .find((l) => l.id === layerId); - - // Conditions to bail - const layerDoesNotExist = !precheckLayer; - const layerHasNoImage = !precheckLayer?.controlAdapter.image; - const layerHasNoProcessorConfig = !precheckLayer?.controlAdapter.processorConfig; - const layerIsAlreadyProcessingImage = precheckLayer?.controlAdapter.isProcessingImage; - const areImageAndProcessorUnchanged = - isEqual(precheckLayer?.controlAdapter.image, precheckLayerOriginal?.controlAdapter.image) && - isEqual(precheckLayer?.controlAdapter.processorConfig, precheckLayerOriginal?.controlAdapter.processorConfig); - - if ( - layerDoesNotExist || - layerHasNoImage || - layerHasNoProcessorConfig || - areImageAndProcessorUnchanged || - layerIsAlreadyProcessingImage - ) { - return; - } + effect: async (action, { dispatch, getState, cancelActiveListeners, delay, take, signal }) => { + const layerId = caLayerRecalled.match(action) ? action.payload.id : action.payload.layerId; // Cancel any in-progress instances of this listener cancelActiveListeners(); @@ -62,19 +56,31 @@ export const addControlAdapterPreprocessor = (startAppListening: AppStartListeni // Delay before starting actual work await delay(DEBOUNCE_MS); - dispatch(caLayerIsProcessingImageChanged({ layerId, isProcessingImage: true })); // Double-check that we are still eligible for processing const state = getState(); const layer = state.controlLayers.present.layers.filter(isControlAdapterLayer).find((l) => l.id === layerId); - const image = layer?.controlAdapter.image; - const config = layer?.controlAdapter.processorConfig; // If we have no image or there is no processor config, bail - if (!layer || !image || !config) { + if (!layer) { return; } + const image = layer.controlAdapter.image; + const config = layer.controlAdapter.processorConfig; + + if (!image || !config) { + // The user has reset the image or config, so we should clear the processed image + dispatch(caLayerProcessedImageChanged({ layerId, imageDTO: null })); + } + + // At this point, the user has stopped fiddling with the processor settings and there is a processor selected. + + // If there is a pending processor batch, cancel it. + if (layer.controlAdapter.processorPendingBatchId) { + cancelProcessorBatch(dispatch, layerId, layer.controlAdapter.processorPendingBatchId); + } + // @ts-expect-error: TS isn't able to narrow the typing of buildNode and `config` will error... const processorNode = CA_PROCESSOR_DATA[config.type].buildNode(image, config); const enqueueBatchArg: BatchConfig = { @@ -82,7 +88,11 @@ export const addControlAdapterPreprocessor = (startAppListening: AppStartListeni batch: { graph: { nodes: { - [processorNode.id]: { ...processorNode, is_intermediate: true }, + [processorNode.id]: { + ...processorNode, + // Control images are always intermediate - do not save to gallery + is_intermediate: true, + }, }, edges: [], }, @@ -90,16 +100,21 @@ export const addControlAdapterPreprocessor = (startAppListening: AppStartListeni }, }; + // Kick off the processor batch + const req = dispatch( + queueApi.endpoints.enqueueBatch.initiate(enqueueBatchArg, { + fixedCacheKey: 'enqueueBatch', + }) + ); + try { - const req = dispatch( - queueApi.endpoints.enqueueBatch.initiate(enqueueBatchArg, { - fixedCacheKey: 'enqueueBatch', - }) - ); const enqueueResult = await req.unwrap(); - req.reset(); + // TODO(psyche): Update the pydantic models, pretty sure we will _always_ have a batch_id here, but the model says it's optional + assert(enqueueResult.batch.batch_id, 'Batch ID not returned from queue'); + dispatch(caLayerProcessorPendingBatchIdChanged({ layerId, batchId: enqueueResult.batch.batch_id })); log.debug({ enqueueResult: parseify(enqueueResult) }, t('queue.graphQueued')); + // Wait for the processor node to complete const [invocationCompleteAction] = await take( (action): action is ReturnType => socketInvocationComplete.match(action) && @@ -108,48 +123,52 @@ export const addControlAdapterPreprocessor = (startAppListening: AppStartListeni ); // We still have to check the output type - if (isImageOutput(invocationCompleteAction.payload.data.result)) { - const { image_name } = invocationCompleteAction.payload.data.result.image; + assert( + isImageOutput(invocationCompleteAction.payload.data.result), + `Processor did not return an image output, got: ${invocationCompleteAction.payload.data.result}` + ); + const { image_name } = invocationCompleteAction.payload.data.result.image; - // Wait for the ImageDTO to be received - const [{ payload }] = await take( - (action) => - imagesApi.endpoints.getImageDTO.matchFulfilled(action) && action.payload.image_name === image_name - ); + const imageDTO = await getImageDTO(image_name); + assert(imageDTO, "Failed to fetch processor output's image DTO"); - const imageDTO = payload as ImageDTO; - - log.debug({ layerId, imageDTO }, 'ControlNet image processed'); - - // Update the processed image in the store - dispatch( - caLayerProcessedImageChanged({ - layerId, - imageDTO, - }) - ); - dispatch(caLayerIsProcessingImageChanged({ layerId, isProcessingImage: false })); - } + // Whew! We made it. Update the layer with the processed image + log.debug({ layerId, imageDTO }, 'ControlNet image processed'); + dispatch(caLayerProcessedImageChanged({ layerId, imageDTO })); + dispatch(caLayerProcessorPendingBatchIdChanged({ layerId, batchId: null })); } catch (error) { - console.log(error); - log.error({ enqueueBatchArg: parseify(enqueueBatchArg) }, t('queue.graphFailedToQueue')); - dispatch(caLayerIsProcessingImageChanged({ layerId, isProcessingImage: false })); + if (signal.aborted) { + // The listener was canceled - we need to cancel the pending processor batch, if there is one (could have changed by now). + const pendingBatchId = getState() + .controlLayers.present.layers.filter(isControlAdapterLayer) + .find((l) => l.id === layerId)?.controlAdapter.processorPendingBatchId; + if (pendingBatchId) { + cancelProcessorBatch(dispatch, layerId, pendingBatchId); + } + log.trace('Control Adapter preprocessor cancelled'); + } else { + // Some other error condition... + console.log(error); + log.error({ enqueueBatchArg: parseify(enqueueBatchArg) }, t('queue.graphFailedToQueue')); - if (error instanceof Object) { - if ('data' in error && 'status' in error) { - if (error.status === 403) { - dispatch(caLayerImageChanged({ layerId, imageDTO: null })); - return; + if (error instanceof Object) { + if ('data' in error && 'status' in error) { + if (error.status === 403) { + dispatch(caLayerImageChanged({ layerId, imageDTO: null })); + return; + } } } - } - dispatch( - addToast({ - title: t('queue.graphFailedToQueue'), - status: 'error', - }) - ); + dispatch( + addToast({ + title: t('queue.graphFailedToQueue'), + status: 'error', + }) + ); + } + } finally { + req.reset(); } }, }); diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts index 557220c449..2d267b92b2 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedLinear.ts @@ -1,5 +1,6 @@ import { enqueueRequested } from 'app/store/actions'; import type { AppStartListening } from 'app/store/middleware/listenerMiddleware'; +import { isImageViewerOpenChanged } from 'features/gallery/store/gallerySlice'; import { buildGenerationTabGraph } from 'features/nodes/util/graph/buildGenerationTabGraph'; import { buildGenerationTabSDXLGraph } from 'features/nodes/util/graph/buildGenerationTabSDXLGraph'; import { prepareLinearUIBatch } from 'features/nodes/util/graph/buildLinearBatchConfig'; @@ -11,6 +12,7 @@ export const addEnqueueRequestedLinear = (startAppListening: AppStartListening) enqueueRequested.match(action) && action.payload.tabName === 'generation', effect: async (action, { getState, dispatch }) => { const state = getState(); + const { shouldShowProgressInViewer } = state.ui; const model = state.generation.model; const { prepend } = action.payload; @@ -29,7 +31,14 @@ export const addEnqueueRequestedLinear = (startAppListening: AppStartListening) fixedCacheKey: 'enqueueBatch', }) ); - req.reset(); + try { + await req.unwrap(); + if (shouldShowProgressInViewer) { + dispatch(isImageViewerOpenChanged(true)); + } + } finally { + req.reset(); + } }, }); }; diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts index 8d39daaef8..12741c52f5 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/enqueueRequestedNodes.ts @@ -39,7 +39,11 @@ export const addEnqueueRequestedNodes = (startAppListening: AppStartListening) = fixedCacheKey: 'enqueueBatch', }) ); - req.reset(); + try { + await req.unwrap(); + } finally { + req.reset(); + } }, }); }; 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 95d17da653..501f71db70 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 @@ -73,25 +73,25 @@ const deleteControlAdapterImages = (state: RootState, dispatch: AppDispatch, ima const deleteControlLayerImages = (state: RootState, dispatch: AppDispatch, imageDTO: ImageDTO) => { state.controlLayers.present.layers.forEach((l) => { if (isRegionalGuidanceLayer(l)) { - if (l.ipAdapters.some((ipa) => ipa.image?.imageName === imageDTO.image_name)) { + if (l.ipAdapters.some((ipa) => ipa.image?.name === imageDTO.image_name)) { dispatch(layerDeleted(l.id)); } } if (isControlAdapterLayer(l)) { if ( - l.controlAdapter.image?.imageName === imageDTO.image_name || - l.controlAdapter.processedImage?.imageName === imageDTO.image_name + l.controlAdapter.image?.name === imageDTO.image_name || + l.controlAdapter.processedImage?.name === imageDTO.image_name ) { dispatch(layerDeleted(l.id)); } } if (isIPAdapterLayer(l)) { - if (l.ipAdapter.image?.imageName === imageDTO.image_name) { + if (l.ipAdapter.image?.name === imageDTO.image_name) { dispatch(layerDeleted(l.id)); } } if (isInitialImageLayer(l)) { - if (l.image?.imageName === imageDTO.image_name) { + if (l.image?.name === imageDTO.image_name) { dispatch(layerDeleted(l.id)); } } diff --git a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts index 279f9aac5b..fb3a4a41c9 100644 --- a/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts +++ b/invokeai/frontend/web/src/app/store/middleware/listenerMiddleware/listeners/socketio/socketInvocationComplete.ts @@ -2,7 +2,12 @@ import { logger } from 'app/logging/logger'; import type { AppStartListening } from 'app/store/middleware/listenerMiddleware'; import { parseify } from 'common/util/serialize'; import { addImageToStagingArea } from 'features/canvas/store/canvasSlice'; -import { boardIdSelected, galleryViewChanged, imageSelected } from 'features/gallery/store/gallerySlice'; +import { + boardIdSelected, + galleryViewChanged, + imageSelected, + isImageViewerOpenChanged, +} from 'features/gallery/store/gallerySlice'; import { IMAGE_CATEGORIES } from 'features/gallery/store/types'; import { isImageOutput } from 'features/nodes/types/common'; import { CANVAS_OUTPUT } from 'features/nodes/util/graph/constants'; @@ -101,6 +106,7 @@ export const addInvocationCompleteEventListener = (startAppListening: AppStartLi } dispatch(imageSelected(imageDTO)); + dispatch(isImageViewerOpenChanged(true)); } } } diff --git a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx index 01107c21b4..2712334e1e 100644 --- a/invokeai/frontend/web/src/common/components/IAIDndImage.tsx +++ b/invokeai/frontend/web/src/common/components/IAIDndImage.tsx @@ -70,6 +70,7 @@ const IAIDndImage = (props: IAIDndImageProps) => { onMouseOver, onMouseOut, dataTestId, + ...rest } = props; const [isHovered, setIsHovered] = useState(false); @@ -138,6 +139,7 @@ const IAIDndImage = (props: IAIDndImageProps) => { minH={minSize ? minSize : undefined} userSelect="none" cursor={isDragDisabled || !imageDTO ? 'default' : 'pointer'} + {...rest} > {imageDTO && ( = { onChange: (value: T | null) => void; getIsDisabled?: (model: T) => boolean; isLoading?: boolean; + groupByType?: boolean; }; type UseGroupedModelComboboxReturn = { @@ -23,17 +24,21 @@ type UseGroupedModelComboboxReturn = { noOptionsMessage: () => string; }; +const groupByBaseFunc = (model: T) => model.base.toUpperCase(); +const groupByBaseAndTypeFunc = (model: T) => + `${model.base.toUpperCase()} / ${model.type.replaceAll('_', ' ').toUpperCase()}`; + export const useGroupedModelCombobox = ( arg: UseGroupedModelComboboxArg ): UseGroupedModelComboboxReturn => { const { t } = useTranslation(); const base_model = useAppSelector((s) => s.generation.model?.base ?? 'sdxl'); - const { modelConfigs, selectedModel, getIsDisabled, onChange, isLoading } = arg; + const { modelConfigs, selectedModel, getIsDisabled, onChange, isLoading, groupByType = false } = arg; const options = useMemo[]>(() => { if (!modelConfigs) { return []; } - const groupedModels = groupBy(modelConfigs, 'base'); + const groupedModels = groupBy(modelConfigs, groupByType ? groupByBaseAndTypeFunc : groupByBaseFunc); const _options = reduce( groupedModels, (acc, val, label) => { @@ -49,9 +54,9 @@ export const useGroupedModelCombobox = ( }, [] as GroupBase[] ); - _options.sort((a) => (a.label === base_model ? -1 : 1)); + _options.sort((a) => (a.label?.split('/')[0]?.toLowerCase().includes(base_model) ? -1 : 1)); return _options; - }, [getIsDisabled, modelConfigs, base_model]); + }, [modelConfigs, groupByType, getIsDisabled, base_model]); const value = useMemo( () => diff --git a/invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts b/invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts index 2aac5b8e72..3c863d0c93 100644 --- a/invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts +++ b/invokeai/frontend/web/src/common/hooks/useIsReadyToEnqueue.ts @@ -6,6 +6,7 @@ import { } from 'features/controlAdapters/store/controlAdaptersSlice'; import { isControlNetOrT2IAdapter } from 'features/controlAdapters/store/types'; import { selectControlLayersSlice } from 'features/controlLayers/store/controlLayersSlice'; +import type { Layer } from 'features/controlLayers/store/types'; import { selectDynamicPromptsSlice } from 'features/dynamicPrompts/store/dynamicPromptsSlice'; import { getShouldProcessPrompt } from 'features/dynamicPrompts/util/getShouldProcessPrompt'; import { selectNodesSlice } from 'features/nodes/store/nodesSlice'; @@ -14,9 +15,16 @@ import { selectGenerationSlice } from 'features/parameters/store/generationSlice import { selectSystemSlice } from 'features/system/store/systemSlice'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import i18n from 'i18next'; -import { forEach } from 'lodash-es'; +import { forEach, upperFirst } from 'lodash-es'; import { getConnectedEdges } from 'reactflow'; +const LAYER_TYPE_TO_TKEY: Record = { + initial_image_layer: 'controlLayers.globalInitialImage', + control_adapter_layer: 'controlLayers.globalControlAdapter', + ip_adapter_layer: 'controlLayers.globalIPAdapter', + regional_guidance_layer: 'controlLayers.regionalGuidance', +}; + const selector = createMemoizedSelector( [ selectControlAdaptersSlice, @@ -29,21 +37,22 @@ const selector = createMemoizedSelector( ], (controlAdapters, generation, system, nodes, dynamicPrompts, controlLayers, activeTabName) => { const { model } = generation; + const { size } = controlLayers.present; const { positivePrompt } = controlLayers.present; const { isConnected } = system; - const reasons: string[] = []; + const reasons: { prefix?: string; content: string }[] = []; // Cannot generate if not connected if (!isConnected) { - reasons.push(i18n.t('parameters.invoke.systemDisconnected')); + reasons.push({ content: i18n.t('parameters.invoke.systemDisconnected') }); } if (activeTabName === 'workflows') { if (nodes.shouldValidateGraph) { if (!nodes.nodes.length) { - reasons.push(i18n.t('parameters.invoke.noNodesInGraph')); + reasons.push({ content: i18n.t('parameters.invoke.noNodesInGraph') }); } nodes.nodes.forEach((node) => { @@ -55,7 +64,7 @@ const selector = createMemoizedSelector( if (!nodeTemplate) { // Node type not found - reasons.push(i18n.t('parameters.invoke.missingNodeTemplate')); + reasons.push({ content: i18n.t('parameters.invoke.missingNodeTemplate') }); return; } @@ -68,17 +77,17 @@ const selector = createMemoizedSelector( ); if (!fieldTemplate) { - reasons.push(i18n.t('parameters.invoke.missingFieldTemplate')); + reasons.push({ content: i18n.t('parameters.invoke.missingFieldTemplate') }); return; } if (fieldTemplate.required && field.value === undefined && !hasConnection) { - reasons.push( - i18n.t('parameters.invoke.missingInputForField', { + reasons.push({ + content: i18n.t('parameters.invoke.missingInputForField', { nodeLabel: node.data.label || nodeTemplate.title, fieldLabel: field.label || fieldTemplate.title, - }) - ); + }), + }); return; } }); @@ -86,62 +95,94 @@ const selector = createMemoizedSelector( } } else { if (dynamicPrompts.prompts.length === 0 && getShouldProcessPrompt(positivePrompt)) { - reasons.push(i18n.t('parameters.invoke.noPrompts')); + reasons.push({ content: i18n.t('parameters.invoke.noPrompts') }); } if (!model) { - reasons.push(i18n.t('parameters.invoke.noModelSelected')); + reasons.push({ content: i18n.t('parameters.invoke.noModelSelected') }); } if (activeTabName === 'generation') { // Handling for generation tab controlLayers.present.layers .filter((l) => l.isEnabled) - .flatMap((l) => { + .forEach((l, i) => { + const layerLiteral = i18n.t('controlLayers.layers_one'); + const layerNumber = i + 1; + const layerType = i18n.t(LAYER_TYPE_TO_TKEY[l.type]); + const prefix = `${layerLiteral} #${layerNumber} (${layerType})`; + const problems: string[] = []; if (l.type === 'control_adapter_layer') { - return l.controlAdapter; - } else if (l.type === 'ip_adapter_layer') { - return l.ipAdapter; - } else if (l.type === 'regional_guidance_layer') { - return l.ipAdapters; + // Must have model + if (!l.controlAdapter.model) { + problems.push(i18n.t('parameters.invoke.layer.controlAdapterNoModelSelected')); + } + // Model base must match + if (l.controlAdapter.model?.base !== model?.base) { + problems.push(i18n.t('parameters.invoke.layer.controlAdapterIncompatibleBaseModel')); + } + // Must have a control image OR, if it has a processor, it must have a processed image + if (!l.controlAdapter.image) { + problems.push(i18n.t('parameters.invoke.layer.controlAdapterNoImageSelected')); + } else if (l.controlAdapter.processorConfig && !l.controlAdapter.processedImage) { + problems.push(i18n.t('parameters.invoke.layer.controlAdapterImageNotProcessed')); + } + // T2I Adapters require images have dimensions that are multiples of 64 + if (l.controlAdapter.type === 't2i_adapter' && (size.width % 64 !== 0 || size.height % 64 !== 0)) { + problems.push(i18n.t('parameters.invoke.layer.t2iAdapterIncompatibleDimensions')); + } } - return []; - }) - .forEach((ca, i) => { - const hasNoModel = !ca.model; - const mismatchedModelBase = ca.model?.base !== model?.base; - const hasNoImage = !ca.image; - const imageNotProcessed = - (ca.type === 'controlnet' || ca.type === 't2i_adapter') && !ca.processedImage && ca.processorConfig; - if (hasNoModel) { - reasons.push( - i18n.t('parameters.invoke.noModelForControlAdapter', { - number: i + 1, - }) - ); + if (l.type === 'ip_adapter_layer') { + // Must have model + if (!l.ipAdapter.model) { + problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoModelSelected')); + } + // Model base must match + if (l.ipAdapter.model?.base !== model?.base) { + problems.push(i18n.t('parameters.invoke.layer.ipAdapterIncompatibleBaseModel')); + } + // Must have an image + if (!l.ipAdapter.image) { + problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoImageSelected')); + } } - if (mismatchedModelBase) { - // This should never happen, just a sanity check - reasons.push( - i18n.t('parameters.invoke.incompatibleBaseModelForControlAdapter', { - number: i + 1, - }) - ); + + if (l.type === 'initial_image_layer') { + // Must have an image + if (!l.image) { + problems.push(i18n.t('parameters.invoke.layer.initialImageNoImageSelected')); + } } - if (hasNoImage) { - reasons.push( - i18n.t('parameters.invoke.noControlImageForControlAdapter', { - number: i + 1, - }) - ); + + if (l.type === 'regional_guidance_layer') { + // Must have a region + if (l.maskObjects.length === 0) { + problems.push(i18n.t('parameters.invoke.layer.rgNoRegion')); + } + // Must have at least 1 prompt or IP Adapter + if (l.positivePrompt === null && l.negativePrompt === null && l.ipAdapters.length === 0) { + problems.push(i18n.t('parameters.invoke.layer.rgNoPromptsOrIPAdapters')); + } + l.ipAdapters.forEach((ipAdapter) => { + // Must have model + if (!ipAdapter.model) { + problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoModelSelected')); + } + // Model base must match + if (ipAdapter.model?.base !== model?.base) { + problems.push(i18n.t('parameters.invoke.layer.ipAdapterIncompatibleBaseModel')); + } + // Must have an image + if (!ipAdapter.image) { + problems.push(i18n.t('parameters.invoke.layer.ipAdapterNoImageSelected')); + } + }); } - if (imageNotProcessed) { - reasons.push( - i18n.t('parameters.invoke.imageNotProcessedForControlAdapter', { - number: i + 1, - }) - ); + + if (problems.length) { + const content = upperFirst(problems.join(', ')); + reasons.push({ prefix, content }); } }); } else { @@ -154,29 +195,19 @@ const selector = createMemoizedSelector( } if (!ca.model) { - reasons.push( - i18n.t('parameters.invoke.noModelForControlAdapter', { - number: i + 1, - }) - ); + reasons.push({ content: i18n.t('parameters.invoke.noModelForControlAdapter', { number: i + 1 }) }); } else if (ca.model.base !== model?.base) { // This should never happen, just a sanity check - reasons.push( - i18n.t('parameters.invoke.incompatibleBaseModelForControlAdapter', { - number: i + 1, - }) - ); + reasons.push({ + content: i18n.t('parameters.invoke.incompatibleBaseModelForControlAdapter', { number: i + 1 }), + }); } if ( !ca.controlImage || (isControlNetOrT2IAdapter(ca) && !ca.processedControlImage && ca.processorType !== 'none') ) { - reasons.push( - i18n.t('parameters.invoke.noControlImageForControlAdapter', { - number: i + 1, - }) - ); + reasons.push({ content: i18n.t('parameters.invoke.noControlImageForControlAdapter', { number: i + 1 }) }); } }); } @@ -187,6 +218,6 @@ const selector = createMemoizedSelector( ); export const useIsReadyToEnqueue = () => { - const { isReady, reasons } = useAppSelector(selector); - return { isReady, reasons }; + const value = useAppSelector(selector); + return value; }; diff --git a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx index 15d38b9f76..5ed5ffe573 100644 --- a/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx +++ b/invokeai/frontend/web/src/features/canvas/components/IAICanvasToolbar/IAICanvasToolbar.tsx @@ -21,8 +21,6 @@ import { setShouldShowBoundingBox, } from 'features/canvas/store/canvasSlice'; import type { CanvasLayer } from 'features/canvas/store/canvasTypes'; -import { LAYER_NAMES_DICT } from 'features/canvas/store/canvasTypes'; -import { ViewerButton } from 'features/gallery/components/ImageViewer/ViewerButton'; import { memo, useCallback, useMemo } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import { useTranslation } from 'react-i18next'; @@ -217,110 +215,107 @@ const IAICanvasToolbar = () => { [dispatch, isMaskEnabled] ); - const value = useMemo(() => LAYER_NAMES_DICT.filter((o) => o.value === layer)[0], [layer]); + const layerOptions = useMemo<{ label: string; value: CanvasLayer }[]>( + () => [ + { label: t('unifiedCanvas.base'), value: 'base' }, + { label: t('unifiedCanvas.mask'), value: 'mask' }, + ], + [t] + ); + const layerValue = useMemo(() => layerOptions.filter((o) => o.value === layer)[0] ?? null, [layer, layerOptions]); return ( - - - - - - - - - - + + + + + + - - + + - - } - isChecked={tool === 'move' || isStaging} - onClick={handleSelectMoveTool} - /> - : } - onClick={handleSetShouldShowBoundingBox} - isDisabled={isStaging} - /> - } - onClick={handleClickResetCanvasView} - /> - + + } + isChecked={tool === 'move' || isStaging} + onClick={handleSelectMoveTool} + /> + : } + onClick={handleSetShouldShowBoundingBox} + isDisabled={isStaging} + /> + } + onClick={handleClickResetCanvasView} + /> + - + + } + onClick={handleMergeVisible} + isDisabled={isStaging} + /> + } + onClick={handleSaveToGallery} + isDisabled={isStaging} + /> + {isClipboardAPIAvailable && ( } - onClick={handleMergeVisible} + aria-label={`${t('unifiedCanvas.copyToClipboard')} (Cmd/Ctrl+C)`} + tooltip={`${t('unifiedCanvas.copyToClipboard')} (Cmd/Ctrl+C)`} + icon={} + onClick={handleCopyImageToClipboard} isDisabled={isStaging} /> - } - onClick={handleSaveToGallery} - isDisabled={isStaging} - /> - {isClipboardAPIAvailable && ( - } - onClick={handleCopyImageToClipboard} - isDisabled={isStaging} - /> - )} - } - onClick={handleDownloadAsImage} - isDisabled={isStaging} - /> - - - - - + )} + } + onClick={handleDownloadAsImage} + isDisabled={isStaging} + /> + + + + + - - } - isDisabled={isStaging} - {...getUploadButtonProps()} - /> - - } - onClick={handleResetCanvas} - colorScheme="error" - isDisabled={isStaging} - /> - - - - - - - - - - + + } + isDisabled={isStaging} + {...getUploadButtonProps()} + /> + + } + onClick={handleResetCanvas} + colorScheme="error" + isDisabled={isStaging} + /> + + + + ); }; diff --git a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts index 2d30e18760..c41c6f329f 100644 --- a/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts +++ b/invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts @@ -5,11 +5,6 @@ import { z } from 'zod'; export type CanvasLayer = 'base' | 'mask'; -export const LAYER_NAMES_DICT: { label: string; value: CanvasLayer }[] = [ - { label: 'Base', value: 'base' }, - { label: 'Mask', value: 'mask' }, -]; - const zBoundingBoxScaleMethod = z.enum(['none', 'auto', 'manual']); export type BoundingBoxScaleMethod = z.infer; export const isBoundingBoxScaleMethod = (v: unknown): v is BoundingBoxScaleMethod => diff --git a/invokeai/frontend/web/src/features/controlLayers/components/AddLayerButton.tsx b/invokeai/frontend/web/src/features/controlLayers/components/AddLayerButton.tsx index 3102e4afa8..c7a49da8c7 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/AddLayerButton.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/AddLayerButton.tsx @@ -18,7 +18,12 @@ export const AddLayerButton = memo(() => { return ( - } variant="ghost"> + } + variant="ghost" + data-testid="control-layers-add-layer-menu-button" + > {t('controlLayers.addLayer')} diff --git a/invokeai/frontend/web/src/features/controlLayers/components/CALayer/CALayer.tsx b/invokeai/frontend/web/src/features/controlLayers/components/CALayer/CALayer.tsx index 984331a050..36509ec1d3 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/CALayer/CALayer.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/CALayer/CALayer.tsx @@ -19,7 +19,6 @@ export const CALayer = memo(({ layerId }: Props) => { const dispatch = useAppDispatch(); const isSelected = useAppSelector((s) => selectCALayerOrThrow(s.controlLayers.present, layerId).isSelected); const onClick = useCallback(() => { - // Must be capture so that the layer is selected before deleting/resetting/etc dispatch(layerSelected(layerId)); }, [dispatch, layerId]); const { isOpen, onToggle } = useDisclosure({ defaultIsOpen: true }); diff --git a/invokeai/frontend/web/src/features/controlLayers/components/ControlAndIPAdapter/ControlAdapterImagePreview.tsx b/invokeai/frontend/web/src/features/controlLayers/components/ControlAndIPAdapter/ControlAdapterImagePreview.tsx index e6c6aae286..4d93eb12ec 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/ControlAndIPAdapter/ControlAdapterImagePreview.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/ControlAndIPAdapter/ControlAdapterImagePreview.tsx @@ -42,10 +42,10 @@ export const ControlAdapterImagePreview = memo( const [isMouseOverImage, setIsMouseOverImage] = useState(false); const { currentData: controlImage, isError: isErrorControlImage } = useGetImageDTOQuery( - controlAdapter.image?.imageName ?? skipToken + controlAdapter.image?.name ?? skipToken ); const { currentData: processedControlImage, isError: isErrorProcessedControlImage } = useGetImageDTOQuery( - controlAdapter.processedImage?.imageName ?? skipToken + controlAdapter.processedImage?.name ?? skipToken ); const [changeIsIntermediate] = useChangeImageIsIntermediateMutation(); @@ -124,7 +124,7 @@ export const ControlAdapterImagePreview = memo( controlImage && processedControlImage && !isMouseOverImage && - !controlAdapter.isProcessingImage && + !controlAdapter.processorPendingBatchId && controlAdapter.processorConfig !== null; useEffect(() => { @@ -190,7 +190,7 @@ export const ControlAdapterImagePreview = memo( /> - {controlAdapter.isProcessingImage && ( + {controlAdapter.processorPendingBatchId !== null && ( { onChangeImage(null); }, [onChangeImage]); diff --git a/invokeai/frontend/web/src/features/controlLayers/components/ControlAndIPAdapter/processors/DepthAnythingProcessor.tsx b/invokeai/frontend/web/src/features/controlLayers/components/ControlAndIPAdapter/processors/DepthAnythingProcessor.tsx index 00993789b1..b5da990b6f 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/ControlAndIPAdapter/processors/DepthAnythingProcessor.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/ControlAndIPAdapter/processors/DepthAnythingProcessor.tsx @@ -2,14 +2,13 @@ import type { ComboboxOnChange } from '@invoke-ai/ui-library'; import { Combobox, FormControl, FormLabel } from '@invoke-ai/ui-library'; import type { ProcessorComponentProps } from 'features/controlLayers/components/ControlAndIPAdapter/processors/types'; import type { DepthAnythingModelSize, DepthAnythingProcessorConfig } from 'features/controlLayers/util/controlAdapters'; -import { CA_PROCESSOR_DATA, isDepthAnythingModelSize } from 'features/controlLayers/util/controlAdapters'; +import { isDepthAnythingModelSize } from 'features/controlLayers/util/controlAdapters'; import { memo, useCallback, useMemo } from 'react'; import { useTranslation } from 'react-i18next'; import ProcessorWrapper from './ProcessorWrapper'; type Props = ProcessorComponentProps; -const DEFAULTS = CA_PROCESSOR_DATA['depth_anything_image_processor'].buildDefaults(); export const DepthAnythingProcessor = memo(({ onChange, config }: Props) => { const { t } = useTranslation(); @@ -38,12 +37,7 @@ export const DepthAnythingProcessor = memo(({ onChange, config }: Props) => { {t('controlnet.modelSize')} - + ); diff --git a/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersPanelContent.tsx b/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersPanelContent.tsx index 1dd79d0220..d3ddc07139 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersPanelContent.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersPanelContent.tsx @@ -32,7 +32,7 @@ export const ControlLayersPanelContent = memo(() => { {layerIdTypePairs.length > 0 && ( - + {layerIdTypePairs.map(({ id, type }) => ( ))} diff --git a/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersSettingsPopover.tsx b/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersSettingsPopover.tsx index 89032b7c76..1f3307bdf1 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersSettingsPopover.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersSettingsPopover.tsx @@ -1,12 +1,30 @@ -import { Flex, IconButton, Popover, PopoverBody, PopoverContent, PopoverTrigger } from '@invoke-ai/ui-library'; +import { + Checkbox, + Flex, + FormControl, + FormLabel, + IconButton, + Popover, + PopoverBody, + PopoverContent, + PopoverTrigger, +} from '@invoke-ai/ui-library'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { setShouldInvertBrushSizeScrollDirection } from 'features/canvas/store/canvasSlice'; import { GlobalMaskLayerOpacity } from 'features/controlLayers/components/GlobalMaskLayerOpacity'; -import { memo } from 'react'; +import type { ChangeEvent } from 'react'; +import { memo, useCallback } from 'react'; import { useTranslation } from 'react-i18next'; import { RiSettings4Fill } from 'react-icons/ri'; const ControlLayersSettingsPopover = () => { const { t } = useTranslation(); - + const dispatch = useAppDispatch(); + const shouldInvertBrushSizeScrollDirection = useAppSelector((s) => s.canvas.shouldInvertBrushSizeScrollDirection); + const handleChangeShouldInvertBrushSizeScrollDirection = useCallback( + (e: ChangeEvent) => dispatch(setShouldInvertBrushSizeScrollDirection(e.target.checked)), + [dispatch] + ); return ( @@ -16,6 +34,13 @@ const ControlLayersSettingsPopover = () => { + + {t('unifiedCanvas.invertBrushSizeScrollDirection')} + + diff --git a/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersToolbar.tsx b/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersToolbar.tsx index b78910700d..8cc3aa93fe 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersToolbar.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/ControlLayersToolbar.tsx @@ -4,14 +4,17 @@ import { BrushSize } from 'features/controlLayers/components/BrushSize'; import ControlLayersSettingsPopover from 'features/controlLayers/components/ControlLayersSettingsPopover'; import { ToolChooser } from 'features/controlLayers/components/ToolChooser'; import { UndoRedoButtonGroup } from 'features/controlLayers/components/UndoRedoButtonGroup'; -import { ViewerButton } from 'features/gallery/components/ImageViewer/ViewerButton'; +import { ToggleProgressButton } from 'features/gallery/components/ImageViewer/ToggleProgressButton'; +import { ViewerToggleMenu } from 'features/gallery/components/ImageViewer/ViewerToggleMenu'; import { memo } from 'react'; export const ControlLayersToolbar = memo(() => { return ( - + + + @@ -21,7 +24,7 @@ export const ControlLayersToolbar = memo(() => { - + diff --git a/invokeai/frontend/web/src/features/controlLayers/components/DeleteAllLayersButton.tsx b/invokeai/frontend/web/src/features/controlLayers/components/DeleteAllLayersButton.tsx index dad102b470..00487fcc43 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/DeleteAllLayersButton.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/DeleteAllLayersButton.tsx @@ -20,6 +20,7 @@ export const DeleteAllLayersButton = memo(() => { variant="ghost" colorScheme="error" isDisabled={isDisabled} + data-testid="control-layers-delete-all-layers-button" > {t('controlLayers.deleteAll')} diff --git a/invokeai/frontend/web/src/features/controlLayers/components/IILayer/IILayer.tsx b/invokeai/frontend/web/src/features/controlLayers/components/IILayer/IILayer.tsx index 772dbd7332..c6efd041ca 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/IILayer/IILayer.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/IILayer/IILayer.tsx @@ -8,6 +8,7 @@ import { LayerTitle } from 'features/controlLayers/components/LayerCommon/LayerT import { LayerVisibilityToggle } from 'features/controlLayers/components/LayerCommon/LayerVisibilityToggle'; import { LayerWrapper } from 'features/controlLayers/components/LayerCommon/LayerWrapper'; import { + iiLayerDenoisingStrengthChanged, iiLayerImageChanged, layerSelected, selectIILayerOrThrow, @@ -36,6 +37,13 @@ export const IILayer = memo(({ layerId }: Props) => { [dispatch, layerId] ); + const onChangeDenoisingStrength = useCallback( + (denoisingStrength: number) => { + dispatch(iiLayerDenoisingStrengthChanged({ layerId, denoisingStrength })); + }, + [dispatch, layerId] + ); + const droppableData = useMemo( () => ({ actionType: 'SET_II_LAYER_IMAGE', @@ -67,7 +75,7 @@ export const IILayer = memo(({ layerId }: Props) => { {isOpen && ( - + { onChangeImage(null); diff --git a/invokeai/frontend/web/src/features/controlLayers/components/IPALayer/IPALayer.tsx b/invokeai/frontend/web/src/features/controlLayers/components/IPALayer/IPALayer.tsx index 02a161608d..2077700104 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/IPALayer/IPALayer.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/IPALayer/IPALayer.tsx @@ -1,19 +1,26 @@ import { Flex, Spacer, useDisclosure } from '@invoke-ai/ui-library'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { IPALayerIPAdapterWrapper } from 'features/controlLayers/components/IPALayer/IPALayerIPAdapterWrapper'; import { LayerDeleteButton } from 'features/controlLayers/components/LayerCommon/LayerDeleteButton'; import { LayerTitle } from 'features/controlLayers/components/LayerCommon/LayerTitle'; import { LayerVisibilityToggle } from 'features/controlLayers/components/LayerCommon/LayerVisibilityToggle'; import { LayerWrapper } from 'features/controlLayers/components/LayerCommon/LayerWrapper'; -import { memo } from 'react'; +import { layerSelected, selectIPALayerOrThrow } from 'features/controlLayers/store/controlLayersSlice'; +import { memo, useCallback } from 'react'; type Props = { layerId: string; }; export const IPALayer = memo(({ layerId }: Props) => { + const dispatch = useAppDispatch(); + const isSelected = useAppSelector((s) => selectIPALayerOrThrow(s.controlLayers.present, layerId).isSelected); const { isOpen, onToggle } = useDisclosure({ defaultIsOpen: true }); + const onClick = useCallback(() => { + dispatch(layerSelected(layerId)); + }, [dispatch, layerId]); return ( - + diff --git a/invokeai/frontend/web/src/features/controlLayers/components/LayerCommon/LayerWrapper.tsx b/invokeai/frontend/web/src/features/controlLayers/components/LayerCommon/LayerWrapper.tsx index 9d5fb6ea4b..9757cf3972 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/LayerCommon/LayerWrapper.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/LayerCommon/LayerWrapper.tsx @@ -10,7 +10,16 @@ type Props = PropsWithChildren<{ export const LayerWrapper = memo(({ onClick, borderColor, children }: Props) => { return ( - + {children} diff --git a/invokeai/frontend/web/src/features/controlLayers/components/RGLayer/RGLayerNegativePrompt.tsx b/invokeai/frontend/web/src/features/controlLayers/components/RGLayer/RGLayerNegativePrompt.tsx index ba02aa9242..ce02811ebf 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/RGLayer/RGLayerNegativePrompt.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/RGLayer/RGLayerNegativePrompt.tsx @@ -45,6 +45,7 @@ export const RGLayerNegativePrompt = memo(({ layerId }: Props) => { variant="darkFilled" paddingRight={30} fontSize="sm" + spellCheck={false} /> diff --git a/invokeai/frontend/web/src/features/controlLayers/components/RGLayer/RGLayerPositivePrompt.tsx b/invokeai/frontend/web/src/features/controlLayers/components/RGLayer/RGLayerPositivePrompt.tsx index 6f85ea077c..56d3953e25 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/RGLayer/RGLayerPositivePrompt.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/RGLayer/RGLayerPositivePrompt.tsx @@ -45,6 +45,7 @@ export const RGLayerPositivePrompt = memo(({ layerId }: Props) => { variant="darkFilled" paddingRight={30} minH={28} + spellCheck={false} /> diff --git a/invokeai/frontend/web/src/features/controlLayers/components/StageComponent.tsx b/invokeai/frontend/web/src/features/controlLayers/components/StageComponent.tsx index c66c15d61b..08956e73dc 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/StageComponent.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/StageComponent.tsx @@ -6,7 +6,7 @@ import { createMemoizedSelector } from 'app/store/createMemoizedSelector'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { useMouseEvents } from 'features/controlLayers/hooks/mouseEventHooks'; import { - $cursorPosition, + $lastCursorPos, $lastMouseDownPos, $tool, isRegionalGuidanceLayer, @@ -48,7 +48,7 @@ const useStageRenderer = ( const state = useAppSelector((s) => s.controlLayers.present); const tool = useStore($tool); const mouseEventHandlers = useMouseEvents(); - const cursorPosition = useStore($cursorPosition); + const lastCursorPos = useStore($lastCursorPos); const lastMouseDownPos = useStore($lastMouseDownPos); const selectedLayerIdColor = useAppSelector(selectSelectedLayerColor); const selectedLayerType = useAppSelector(selectSelectedLayerType); @@ -130,18 +130,18 @@ const useStageRenderer = ( }, [stage, state.size.width, state.size.height, wrapper]); useLayoutEffect(() => { - log.trace('Rendering tool preview'); if (asPreview) { // Preview should not display tool return; } + log.trace('Rendering tool preview'); renderers.renderToolPreview( stage, tool, selectedLayerIdColor, selectedLayerType, state.globalMaskLayerOpacity, - cursorPosition, + lastCursorPos, lastMouseDownPos, state.brushSize ); @@ -152,7 +152,7 @@ const useStageRenderer = ( selectedLayerIdColor, selectedLayerType, state.globalMaskLayerOpacity, - cursorPosition, + lastCursorPos, lastMouseDownPos, state.brushSize, renderers, @@ -178,15 +178,24 @@ const useStageRenderer = ( // Preview should not display bboxes return; } - renderers.renderBbox(stage, state.layers, tool, onBboxChanged); + renderers.renderBboxes(stage, state.layers, tool); }, [stage, asPreview, state.layers, tool, onBboxChanged, renderers]); useLayoutEffect(() => { - log.trace('Rendering background'); + if (asPreview) { + // Preview should not check for transparency + return; + } + log.trace('Updating bboxes'); + debouncedRenderers.updateBboxes(stage, state.layers, onBboxChanged); + }, [stage, asPreview, state.layers, onBboxChanged]); + + useLayoutEffect(() => { if (asPreview) { // The preview should not have a background return; } + log.trace('Rendering background'); renderers.renderBackground(stage, state.size.width, state.size.height); }, [stage, asPreview, state.size.width, state.size.height, renderers]); @@ -196,11 +205,11 @@ const useStageRenderer = ( }, [stage, layerIds, renderers]); useLayoutEffect(() => { - log.trace('Rendering no layers message'); if (asPreview) { // The preview should not display the no layers message return; } + log.trace('Rendering no layers message'); renderers.renderNoLayersMessage(stage, layerCount, state.size.width, state.size.height); }, [stage, layerCount, renderers, asPreview, state.size.width, state.size.height]); @@ -233,7 +242,14 @@ export const StageComponent = memo(({ asPreview = false }: Props) => { return ( - + ); diff --git a/invokeai/frontend/web/src/features/controlLayers/components/ToolChooser.tsx b/invokeai/frontend/web/src/features/controlLayers/components/ToolChooser.tsx index 53535b4248..f97a0f35e5 100644 --- a/invokeai/frontend/web/src/features/controlLayers/components/ToolChooser.tsx +++ b/invokeai/frontend/web/src/features/controlLayers/components/ToolChooser.tsx @@ -4,9 +4,9 @@ import { createSelector } from '@reduxjs/toolkit'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { $tool, + layerReset, selectControlLayersSlice, selectedLayerDeleted, - selectedLayerReset, } from 'features/controlLayers/store/controlLayersSlice'; import { useCallback } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; @@ -22,6 +22,7 @@ export const ToolChooser: React.FC = () => { const { t } = useTranslation(); const dispatch = useAppDispatch(); const isDisabled = useAppSelector(selectIsDisabled); + const selectedLayerId = useAppSelector((s) => s.controlLayers.present.selectedLayerId); const tool = useStore($tool); const setToolToBrush = useCallback(() => { @@ -42,8 +43,11 @@ export const ToolChooser: React.FC = () => { useHotkeys('v', setToolToMove, { enabled: !isDisabled }, [isDisabled]); const resetSelectedLayer = useCallback(() => { - dispatch(selectedLayerReset()); - }, [dispatch]); + if (selectedLayerId === null) { + return; + } + dispatch(layerReset(selectedLayerId)); + }, [dispatch, selectedLayerId]); useHotkeys('shift+c', resetSelectedLayer); const deleteSelectedLayer = useCallback(() => { diff --git a/invokeai/frontend/web/src/features/controlLayers/hooks/layerStateHooks.ts b/invokeai/frontend/web/src/features/controlLayers/hooks/layerStateHooks.ts index b4880d1dc6..f2054779d4 100644 --- a/invokeai/frontend/web/src/features/controlLayers/hooks/layerStateHooks.ts +++ b/invokeai/frontend/web/src/features/controlLayers/hooks/layerStateHooks.ts @@ -1,4 +1,5 @@ import { createSelector } from '@reduxjs/toolkit'; +import { createMemoizedSelector } from 'app/store/createMemoizedSelector'; import { useAppSelector } from 'app/store/storeHooks'; import { isControlAdapterLayer, @@ -69,7 +70,7 @@ export const useLayerType = (layerId: string) => { export const useLayerOpacity = (layerId: string) => { const selectLayer = useMemo( () => - createSelector(selectControlLayersSlice, (controlLayers) => { + createMemoizedSelector(selectControlLayersSlice, (controlLayers) => { const layer = controlLayers.present.layers.filter(isControlAdapterLayer).find((l) => l.id === layerId); assert(layer, `Layer ${layerId} not found`); return { opacity: Math.round(layer.opacity * 100), isFilterEnabled: layer.isFilterEnabled }; diff --git a/invokeai/frontend/web/src/features/controlLayers/hooks/mouseEventHooks.ts b/invokeai/frontend/web/src/features/controlLayers/hooks/mouseEventHooks.ts index 889d2c0c2e..514e8c35ff 100644 --- a/invokeai/frontend/web/src/features/controlLayers/hooks/mouseEventHooks.ts +++ b/invokeai/frontend/web/src/features/controlLayers/hooks/mouseEventHooks.ts @@ -3,8 +3,8 @@ import { useStore } from '@nanostores/react'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { calculateNewBrushSize } from 'features/canvas/hooks/useCanvasZoom'; import { - $cursorPosition, $isDrawing, + $lastCursorPos, $lastMouseDownPos, $tool, brushSizeChanged, @@ -15,17 +15,41 @@ import { import type Konva from 'konva'; import type { KonvaEventObject } from 'konva/lib/Node'; import type { Vector2d } from 'konva/lib/types'; -import { useCallback, useRef } from 'react'; +import { clamp } from 'lodash-es'; +import { useCallback, useMemo, useRef } from 'react'; const getIsFocused = (stage: Konva.Stage) => { return stage.container().contains(document.activeElement); }; const getIsMouseDown = (e: KonvaEventObject) => e.evt.buttons === 1; +const SNAP_PX = 10; + +export const snapPosToStage = (pos: Vector2d, stage: Konva.Stage) => { + const snappedPos = { ...pos }; + // Get the normalized threshold for snapping to the edge of the stage + const thresholdX = SNAP_PX / stage.scaleX(); + const thresholdY = SNAP_PX / stage.scaleY(); + const stageWidth = stage.width() / stage.scaleX(); + const stageHeight = stage.height() / stage.scaleY(); + // Snap to the edge of the stage if within threshold + if (pos.x - thresholdX < 0) { + snappedPos.x = 0; + } else if (pos.x + thresholdX > stageWidth) { + snappedPos.x = Math.floor(stageWidth); + } + if (pos.y - thresholdY < 0) { + snappedPos.y = 0; + } else if (pos.y + thresholdY > stageHeight) { + snappedPos.y = Math.floor(stageHeight); + } + return snappedPos; +}; + export const getScaledFlooredCursorPosition = (stage: Konva.Stage) => { const pointerPosition = stage.getPointerPosition(); const stageTransform = stage.getAbsoluteTransform().copy(); - if (!pointerPosition || !stageTransform) { + if (!pointerPosition) { return; } const scaledCursorPosition = stageTransform.invert().point(pointerPosition); @@ -40,11 +64,13 @@ const syncCursorPos = (stage: Konva.Stage): Vector2d | null => { if (!pos) { return null; } - $cursorPosition.set(pos); + $lastCursorPos.set(pos); return pos; }; -const BRUSH_SPACING = 20; +const BRUSH_SPACING_PCT = 10; +const MIN_BRUSH_SPACING_PX = 5; +const MAX_BRUSH_SPACING_PX = 15; export const useMouseEvents = () => { const dispatch = useAppDispatch(); @@ -60,6 +86,10 @@ export const useMouseEvents = () => { const lastCursorPosRef = useRef<[number, number] | null>(null); const shouldInvertBrushSizeScrollDirection = useAppSelector((s) => s.canvas.shouldInvertBrushSizeScrollDirection); const brushSize = useAppSelector((s) => s.controlLayers.present.brushSize); + const brushSpacingPx = useMemo( + () => clamp(brushSize / BRUSH_SPACING_PCT, MIN_BRUSH_SPACING_PX, MAX_BRUSH_SPACING_PX), + [brushSize] + ); const onMouseDown = useCallback( (e: KonvaEventObject) => { @@ -71,7 +101,6 @@ export const useMouseEvents = () => { if (!pos || !selectedLayerId || selectedLayerType !== 'regional_guidance_layer') { return; } - $lastMouseDownPos.set(pos); if (tool === 'brush' || tool === 'eraser') { dispatch( rgLayerLineAdded({ @@ -81,6 +110,9 @@ export const useMouseEvents = () => { }) ); $isDrawing.set(true); + $lastMouseDownPos.set(pos); + } else if (tool === 'rect') { + $lastMouseDownPos.set(snapPosToStage(pos, stage)); } }, [dispatch, selectedLayerId, selectedLayerType, tool] @@ -92,21 +124,22 @@ export const useMouseEvents = () => { if (!stage) { return; } - const pos = $cursorPosition.get(); + const pos = $lastCursorPos.get(); if (!pos || !selectedLayerId || selectedLayerType !== 'regional_guidance_layer') { return; } const lastPos = $lastMouseDownPos.get(); const tool = $tool.get(); if (lastPos && selectedLayerId && tool === 'rect') { + const snappedPos = snapPosToStage(pos, stage); dispatch( rgLayerRectAdded({ layerId: selectedLayerId, rect: { - x: Math.min(pos.x, lastPos.x), - y: Math.min(pos.y, lastPos.y), - width: Math.abs(pos.x - lastPos.x), - height: Math.abs(pos.y - lastPos.y), + x: Math.min(snappedPos.x, lastPos.x), + y: Math.min(snappedPos.y, lastPos.y), + width: Math.abs(snappedPos.x - lastPos.x), + height: Math.abs(snappedPos.y - lastPos.y), }, }) ); @@ -132,7 +165,7 @@ export const useMouseEvents = () => { // Continue the last line if (lastCursorPosRef.current) { // Dispatching redux events impacts perf substantially - using brush spacing keeps dispatches to a reasonable number - if (Math.hypot(lastCursorPosRef.current[0] - pos.x, lastCursorPosRef.current[1] - pos.y) < BRUSH_SPACING) { + if (Math.hypot(lastCursorPosRef.current[0] - pos.x, lastCursorPosRef.current[1] - pos.y) < brushSpacingPx) { return; } } @@ -145,7 +178,7 @@ export const useMouseEvents = () => { $isDrawing.set(true); } }, - [dispatch, selectedLayerId, selectedLayerType, tool] + [brushSpacingPx, dispatch, selectedLayerId, selectedLayerType, tool] ); const onMouseLeave = useCallback( @@ -155,14 +188,15 @@ export const useMouseEvents = () => { return; } const pos = syncCursorPos(stage); + $isDrawing.set(false); + $lastCursorPos.set(null); + $lastMouseDownPos.set(null); if (!pos || !selectedLayerId || selectedLayerType !== 'regional_guidance_layer') { return; } if (getIsFocused(stage) && getIsMouseDown(e) && (tool === 'brush' || tool === 'eraser')) { dispatch(rgLayerPointsAdded({ layerId: selectedLayerId, point: [pos.x, pos.y] })); } - $isDrawing.set(false); - $cursorPosition.set(null); }, [selectedLayerId, selectedLayerType, tool, dispatch] ); @@ -190,5 +224,10 @@ export const useMouseEvents = () => { [selectedLayerType, tool, shouldInvertBrushSizeScrollDirection, dispatch, brushSize] ); - return { onMouseDown, onMouseUp, onMouseMove, onMouseLeave, onMouseWheel }; + const handlers = useMemo( + () => ({ onMouseDown, onMouseUp, onMouseMove, onMouseLeave, onMouseWheel }), + [onMouseDown, onMouseUp, onMouseMove, onMouseLeave, onMouseWheel] + ); + + return handlers; }; diff --git a/invokeai/frontend/web/src/features/controlLayers/hooks/useControlLayersTitle.ts b/invokeai/frontend/web/src/features/controlLayers/hooks/useControlLayersTitle.ts deleted file mode 100644 index bf0fa661a9..0000000000 --- a/invokeai/frontend/web/src/features/controlLayers/hooks/useControlLayersTitle.ts +++ /dev/null @@ -1,51 +0,0 @@ -import { createSelector } from '@reduxjs/toolkit'; -import { useAppSelector } from 'app/store/storeHooks'; -import { - isControlAdapterLayer, - isInitialImageLayer, - isIPAdapterLayer, - isRegionalGuidanceLayer, - selectControlLayersSlice, -} from 'features/controlLayers/store/controlLayersSlice'; -import { useMemo } from 'react'; -import { useTranslation } from 'react-i18next'; - -const selectValidLayerCount = createSelector(selectControlLayersSlice, (controlLayers) => { - let count = 0; - controlLayers.present.layers.forEach((l) => { - if (isRegionalGuidanceLayer(l)) { - const hasTextPrompt = Boolean(l.positivePrompt || l.negativePrompt); - const hasAtLeastOneImagePrompt = l.ipAdapters.filter((ipa) => Boolean(ipa.image)).length > 0; - if (hasTextPrompt || hasAtLeastOneImagePrompt) { - count += 1; - } - } - if (isControlAdapterLayer(l)) { - if (l.controlAdapter.image || l.controlAdapter.processedImage) { - count += 1; - } - } - if (isIPAdapterLayer(l)) { - if (l.ipAdapter.image) { - count += 1; - } - } - if (isInitialImageLayer(l)) { - if (l.image) { - count += 1; - } - } - }); - - return count; -}); - -export const useControlLayersTitle = () => { - const { t } = useTranslation(); - const validLayerCount = useAppSelector(selectValidLayerCount); - const title = useMemo(() => { - const suffix = validLayerCount > 0 ? ` (${validLayerCount})` : ''; - return `${t('controlLayers.controlLayers')}${suffix}`; - }, [t, validLayerCount]); - return title; -}; diff --git a/invokeai/frontend/web/src/features/controlLayers/store/controlLayersSlice.ts b/invokeai/frontend/web/src/features/controlLayers/store/controlLayersSlice.ts index a1b5e0ebc8..32e29918ae 100644 --- a/invokeai/frontend/web/src/features/controlLayers/store/controlLayersSlice.ts +++ b/invokeai/frontend/web/src/features/controlLayers/store/controlLayersSlice.ts @@ -27,7 +27,7 @@ import { modelChanged } from 'features/parameters/store/generationSlice'; import type { ParameterAutoNegative } from 'features/parameters/types/parameterSchemas'; import { getIsSizeOptimal, getOptimalDimension } from 'features/parameters/util/optimalDimension'; import type { IRect, Vector2d } from 'konva/lib/types'; -import { isEqual, partition } from 'lodash-es'; +import { isEqual, partition, unset } from 'lodash-es'; import { atom } from 'nanostores'; import type { RgbColor } from 'react-colorful'; import type { UndoableOptions } from 'redux-undo'; @@ -49,7 +49,7 @@ import type { } from './types'; export const initialControlLayersState: ControlLayersState = { - _version: 1, + _version: 3, selectedLayerId: null, brushSize: 100, layers: [], @@ -79,16 +79,6 @@ export const isRenderableLayer = ( layer?.type === 'regional_guidance_layer' || layer?.type === 'control_adapter_layer' || layer?.type === 'initial_image_layer'; -const resetLayer = (layer: Layer) => { - if (layer.type === 'regional_guidance_layer') { - layer.maskObjects = []; - layer.bbox = null; - layer.isEnabled = true; - layer.needsPixelBbox = false; - layer.bboxNeedsUpdate = false; - return; - } -}; export const selectCALayerOrThrow = (state: ControlLayersState, layerId: string): ControlAdapterLayer => { const layer = state.layers.find((l) => l.id === layerId); @@ -134,6 +124,12 @@ const getVectorMaskPreviewColor = (state: ControlLayersState): RgbColor => { const lastColor = rgLayers[rgLayers.length - 1]?.previewColor; return LayerColors.next(lastColor); }; +const exclusivelySelectLayer = (state: ControlLayersState, layerId: string) => { + for (const layer of state.layers) { + layer.isSelected = layer.id === layerId; + } + state.selectedLayerId = layerId; +}; export const controlLayersSlice = createSlice({ name: 'controlLayers', @@ -141,14 +137,7 @@ export const controlLayersSlice = createSlice({ reducers: { //#region Any Layer Type layerSelected: (state, action: PayloadAction) => { - for (const layer of state.layers.filter(isRenderableLayer)) { - if (layer.id === action.payload) { - layer.isSelected = true; - state.selectedLayerId = action.payload; - } else { - layer.isSelected = false; - } - } + exclusivelySelectLayer(state, action.payload); }, layerVisibilityToggled: (state, action: PayloadAction) => { const layer = state.layers.find((l) => l.id === action.payload); @@ -163,6 +152,9 @@ export const controlLayersSlice = createSlice({ layer.x = x; layer.y = y; } + if (isRegionalGuidanceLayer(layer)) { + layer.uploadedMaskImage = null; + } }, layerBboxChanged: (state, action: PayloadAction<{ layerId: string; bbox: IRect | null }>) => { const { layerId, bbox } = action.payload; @@ -173,14 +165,19 @@ export const controlLayersSlice = createSlice({ if (bbox === null && layer.type === 'regional_guidance_layer') { // The layer was fully erased, empty its objects to prevent accumulation of invisible objects layer.maskObjects = []; - layer.needsPixelBbox = false; + layer.uploadedMaskImage = null; } } }, layerReset: (state, action: PayloadAction) => { const layer = state.layers.find((l) => l.id === action.payload); - if (layer) { - resetLayer(layer); + // TODO(psyche): Should other layer types also have reset functionality? + if (isRegionalGuidanceLayer(layer)) { + layer.maskObjects = []; + layer.bbox = null; + layer.isEnabled = true; + layer.bboxNeedsUpdate = false; + layer.uploadedMaskImage = null; } }, layerDeleted: (state, action: PayloadAction) => { @@ -213,12 +210,6 @@ export const controlLayersSlice = createSlice({ moveToFront(renderableLayers, cb); state.layers = [...ipAdapterLayers, ...renderableLayers]; }, - selectedLayerReset: (state) => { - const layer = state.layers.find((l) => l.id === state.selectedLayerId); - if (layer) { - resetLayer(layer); - } - }, selectedLayerDeleted: (state) => { state.layers = state.layers.filter((l) => l.id !== state.selectedLayerId); state.selectedLayerId = state.layers[0]?.id ?? null; @@ -250,17 +241,16 @@ export const controlLayersSlice = createSlice({ controlAdapter, }; state.layers.push(layer); - state.selectedLayerId = layer.id; - for (const layer of state.layers.filter(isRenderableLayer)) { - if (layer.id !== layerId) { - layer.isSelected = false; - } - } + exclusivelySelectLayer(state, layer.id); }, prepare: (controlAdapter: ControlNetConfigV2 | T2IAdapterConfigV2) => ({ payload: { layerId: uuidv4(), controlAdapter }, }), }, + caLayerRecalled: (state, action: PayloadAction) => { + state.layers.push({ ...action.payload, isSelected: true }); + exclusivelySelectLayer(state, action.payload.id); + }, caLayerImageChanged: (state, action: PayloadAction<{ layerId: string; imageDTO: ImageDTO | null }>) => { const { layerId, imageDTO } = action.payload; const layer = selectCALayerOrThrow(state, layerId); @@ -344,19 +334,13 @@ export const controlLayersSlice = createSlice({ const layer = selectCALayerOrThrow(state, layerId); layer.opacity = opacity; }, - caLayerIsProcessingImageChanged: ( + caLayerProcessorPendingBatchIdChanged: ( state, - action: PayloadAction<{ layerId: string; isProcessingImage: boolean }> + action: PayloadAction<{ layerId: string; batchId: string | null }> ) => { - const { layerId, isProcessingImage } = action.payload; + const { layerId, batchId } = action.payload; const layer = selectCALayerOrThrow(state, layerId); - layer.controlAdapter.isProcessingImage = isProcessingImage; - }, - caLayerControlNetsDeleted: (state) => { - state.layers = state.layers.filter((l) => !isControlAdapterLayer(l) || l.controlAdapter.type !== 'controlnet'); - }, - caLayerT2IAdaptersDeleted: (state) => { - state.layers = state.layers.filter((l) => !isControlAdapterLayer(l) || l.controlAdapter.type !== 't2i_adapter'); + layer.controlAdapter.processorPendingBatchId = batchId; }, //#endregion @@ -368,12 +352,17 @@ export const controlLayersSlice = createSlice({ id: getIPALayerId(layerId), type: 'ip_adapter_layer', isEnabled: true, + isSelected: true, ipAdapter, }; state.layers.push(layer); + exclusivelySelectLayer(state, layer.id); }, prepare: (ipAdapter: IPAdapterConfigV2) => ({ payload: { layerId: uuidv4(), ipAdapter } }), }, + ipaLayerRecalled: (state, action: PayloadAction) => { + state.layers.push(action.payload); + }, ipaLayerImageChanged: (state, action: PayloadAction<{ layerId: string; imageDTO: ImageDTO | null }>) => { const { layerId, imageDTO } = action.payload; const layer = selectIPALayerOrThrow(state, layerId); @@ -407,9 +396,6 @@ export const controlLayersSlice = createSlice({ const layer = selectIPALayerOrThrow(state, layerId); layer.ipAdapter.clipVisionModel = clipVisionModel; }, - ipaLayersDeleted: (state) => { - state.layers = state.layers.filter((l) => !isIPAdapterLayer(l)); - }, //#endregion //#region CA or IPA Layers @@ -451,22 +437,21 @@ export const controlLayersSlice = createSlice({ x: 0, y: 0, autoNegative: 'invert', - needsPixelBbox: false, positivePrompt: '', negativePrompt: null, ipAdapters: [], isSelected: true, + uploadedMaskImage: null, }; state.layers.push(layer); - state.selectedLayerId = layer.id; - for (const layer of state.layers.filter(isRenderableLayer)) { - if (layer.id !== layerId) { - layer.isSelected = false; - } - } + exclusivelySelectLayer(state, layer.id); }, prepare: () => ({ payload: { layerId: uuidv4() } }), }, + rgLayerRecalled: (state, action: PayloadAction) => { + state.layers.push({ ...action.payload, isSelected: true }); + exclusivelySelectLayer(state, action.payload.id); + }, rgLayerPositivePromptChanged: (state, action: PayloadAction<{ layerId: string; prompt: string | null }>) => { const { layerId, prompt } = action.payload; const layer = selectRGLayerOrThrow(state, layerId); @@ -505,9 +490,7 @@ export const controlLayersSlice = createSlice({ strokeWidth: state.brushSize, }); layer.bboxNeedsUpdate = true; - if (!layer.needsPixelBbox && tool === 'eraser') { - layer.needsPixelBbox = true; - } + layer.uploadedMaskImage = null; }, prepare: (payload: { layerId: string; points: [number, number, number, number]; tool: DrawingTool }) => ({ payload: { ...payload, lineUuid: uuidv4() }, @@ -524,6 +507,7 @@ export const controlLayersSlice = createSlice({ // TODO: Handle this in the event listener lastLine.points.push(point[0] - layer.x, point[1] - layer.y); layer.bboxNeedsUpdate = true; + layer.uploadedMaskImage = null; }, rgLayerRectAdded: { reducer: (state, action: PayloadAction<{ layerId: string; rect: IRect; rectUuid: string }>) => { @@ -543,9 +527,15 @@ export const controlLayersSlice = createSlice({ height: rect.height, }); layer.bboxNeedsUpdate = true; + layer.uploadedMaskImage = null; }, prepare: (payload: { layerId: string; rect: IRect }) => ({ payload: { ...payload, rectUuid: uuidv4() } }), }, + rgLayerMaskImageUploaded: (state, action: PayloadAction<{ layerId: string; imageDTO: ImageDTO }>) => { + const { layerId, imageDTO } = action.payload; + const layer = selectRGLayerOrThrow(state, layerId); + layer.uploadedMaskImage = imageDTOToImageWithDims(imageDTO); + }, rgLayerAutoNegativeChanged: ( state, action: PayloadAction<{ layerId: string; autoNegative: ParameterAutoNegative }> @@ -639,16 +629,17 @@ export const controlLayersSlice = createSlice({ isEnabled: true, image: imageDTO ? imageDTOToImageWithDims(imageDTO) : null, isSelected: true, + denoisingStrength: 0.75, }; state.layers.push(layer); - state.selectedLayerId = layer.id; - for (const layer of state.layers.filter(isRenderableLayer)) { - if (layer.id !== layerId) { - layer.isSelected = false; - } - } + exclusivelySelectLayer(state, layer.id); }, - prepare: (imageDTO: ImageDTO | null) => ({ payload: { layerId: 'initial_image_layer', imageDTO } }), + prepare: (imageDTO: ImageDTO | null) => ({ payload: { layerId: INITIAL_IMAGE_LAYER_ID, imageDTO } }), + }, + iiLayerRecalled: (state, action: PayloadAction) => { + state.layers = state.layers.filter((l) => (isInitialImageLayer(l) ? false : true)); + state.layers.push({ ...action.payload, isSelected: true }); + exclusivelySelectLayer(state, action.payload.id); }, iiLayerImageChanged: (state, action: PayloadAction<{ layerId: string; imageDTO: ImageDTO | null }>) => { const { layerId, imageDTO } = action.payload; @@ -663,6 +654,11 @@ export const controlLayersSlice = createSlice({ const layer = selectIILayerOrThrow(state, layerId); layer.opacity = opacity; }, + iiLayerDenoisingStrengthChanged: (state, action: PayloadAction<{ layerId: string; denoisingStrength: number }>) => { + const { layerId, denoisingStrength } = action.payload; + const layer = selectIILayerOrThrow(state, layerId); + layer.denoisingStrength = denoisingStrength; + }, //#endregion //#region Globals @@ -792,11 +788,11 @@ export const { layerMovedToFront, layerMovedBackward, layerMovedToBack, - selectedLayerReset, selectedLayerDeleted, allLayersDeleted, // CA Layers caLayerAdded, + caLayerRecalled, caLayerImageChanged, caLayerProcessedImageChanged, caLayerModelChanged, @@ -804,27 +800,27 @@ export const { caLayerProcessorConfigChanged, caLayerIsFilterEnabledChanged, caLayerOpacityChanged, - caLayerIsProcessingImageChanged, - caLayerControlNetsDeleted, - caLayerT2IAdaptersDeleted, + caLayerProcessorPendingBatchIdChanged, // IPA Layers ipaLayerAdded, + ipaLayerRecalled, ipaLayerImageChanged, ipaLayerMethodChanged, ipaLayerModelChanged, ipaLayerCLIPVisionModelChanged, - ipaLayersDeleted, // CA or IPA Layers caOrIPALayerWeightChanged, caOrIPALayerBeginEndStepPctChanged, // RG Layers rgLayerAdded, + rgLayerRecalled, rgLayerPositivePromptChanged, rgLayerNegativePromptChanged, rgLayerPreviewColorChanged, rgLayerLineAdded, rgLayerPointsAdded, rgLayerRectAdded, + rgLayerMaskImageUploaded, rgLayerAutoNegativeChanged, rgLayerIPAdapterAdded, rgLayerIPAdapterDeleted, @@ -836,8 +832,10 @@ export const { rgLayerIPAdapterCLIPVisionModelChanged, // II Layer iiLayerAdded, + iiLayerRecalled, iiLayerImageChanged, iiLayerOpacityChanged, + iiLayerDenoisingStrengthChanged, // Globals positivePromptChanged, negativePromptChanged, @@ -857,13 +855,26 @@ export const selectControlLayersSlice = (state: RootState) => state.controlLayer /* eslint-disable-next-line @typescript-eslint/no-explicit-any */ const migrateControlLayersState = (state: any): any => { + if (state._version === 1) { + // Reset state for users on v1 (e.g. beta users), some changes could cause + state = deepClone(initialControlLayersState); + } + if (state._version === 2) { + // The CA `isProcessingImage` flag was replaced with a `processorPendingBatchId` property, fix up CA layers + for (const layer of (state as ControlLayersState).layers) { + if (layer.type === 'control_adapter_layer') { + layer.controlAdapter.processorPendingBatchId = null; + unset(layer.controlAdapter, 'isProcessingImage'); + } + } + } return state; }; export const $isDrawing = atom(false); export const $lastMouseDownPos = atom(null); export const $tool = atom('brush'); -export const $cursorPosition = atom(null); +export const $lastCursorPos = atom(null); // IDs for singleton Konva layers and objects export const TOOL_PREVIEW_LAYER_ID = 'tool_preview_layer'; @@ -883,20 +894,22 @@ export const RG_LAYER_NAME = 'regional_guidance_layer'; export const RG_LAYER_LINE_NAME = 'regional_guidance_layer.line'; export const RG_LAYER_OBJECT_GROUP_NAME = 'regional_guidance_layer.object_group'; export const RG_LAYER_RECT_NAME = 'regional_guidance_layer.rect'; +export const INITIAL_IMAGE_LAYER_ID = 'singleton_initial_image_layer'; export const INITIAL_IMAGE_LAYER_NAME = 'initial_image_layer'; export const INITIAL_IMAGE_LAYER_IMAGE_NAME = 'initial_image_layer.image'; export const LAYER_BBOX_NAME = 'layer.bbox'; +export const COMPOSITING_RECT_NAME = 'compositing-rect'; // Getters for non-singleton layer and object IDs -const getRGLayerId = (layerId: string) => `${RG_LAYER_NAME}_${layerId}`; +export const getRGLayerId = (layerId: string) => `${RG_LAYER_NAME}_${layerId}`; const getRGLayerLineId = (layerId: string, lineId: string) => `${layerId}.line_${lineId}`; const getRGLayerRectId = (layerId: string, lineId: string) => `${layerId}.rect_${lineId}`; export const getRGLayerObjectGroupId = (layerId: string, groupId: string) => `${layerId}.objectGroup_${groupId}`; export const getLayerBboxId = (layerId: string) => `${layerId}.bbox`; -const getCALayerId = (layerId: string) => `control_adapter_layer_${layerId}`; +export const getCALayerId = (layerId: string) => `control_adapter_layer_${layerId}`; export const getCALayerImageId = (layerId: string, imageName: string) => `${layerId}.image_${imageName}`; export const getIILayerImageId = (layerId: string, imageName: string) => `${layerId}.image_${imageName}`; -const getIPALayerId = (layerId: string) => `ip_adapter_layer_${layerId}`; +export const getIPALayerId = (layerId: string) => `ip_adapter_layer_${layerId}`; export const controlLayersPersistConfig: PersistConfig = { name: controlLayersSlice.name, diff --git a/invokeai/frontend/web/src/features/controlLayers/store/types.ts b/invokeai/frontend/web/src/features/controlLayers/store/types.ts index cbb986bde2..771e5060e1 100644 --- a/invokeai/frontend/web/src/features/controlLayers/store/types.ts +++ b/invokeai/frontend/web/src/features/controlLayers/store/types.ts @@ -1,89 +1,119 @@ -import type { - ControlNetConfigV2, - ImageWithDims, - IPAdapterConfigV2, - T2IAdapterConfigV2, +import { + zControlNetConfigV2, + zImageWithDims, + zIPAdapterConfigV2, + zT2IAdapterConfigV2, } from 'features/controlLayers/util/controlAdapters'; import type { AspectRatioState } from 'features/parameters/components/ImageSize/types'; -import type { - ParameterAutoNegative, - ParameterHeight, - ParameterNegativePrompt, - ParameterNegativeStylePromptSDXL, - ParameterPositivePrompt, - ParameterPositiveStylePromptSDXL, - ParameterWidth, +import { + type ParameterHeight, + type ParameterNegativePrompt, + type ParameterNegativeStylePromptSDXL, + type ParameterPositivePrompt, + type ParameterPositiveStylePromptSDXL, + type ParameterWidth, + zAutoNegative, + zParameterNegativePrompt, + zParameterPositivePrompt, + zParameterStrength, } from 'features/parameters/types/parameterSchemas'; -import type { IRect } from 'konva/lib/types'; -import type { RgbColor } from 'react-colorful'; +import { z } from 'zod'; -export type DrawingTool = 'brush' | 'eraser'; +const zTool = z.enum(['brush', 'eraser', 'move', 'rect']); +export type Tool = z.infer; +const zDrawingTool = zTool.extract(['brush', 'eraser']); +export type DrawingTool = z.infer; -export type Tool = DrawingTool | 'move' | 'rect'; +const zPoints = z.array(z.number()).refine((points) => points.length % 2 === 0, { + message: 'Must have an even number of points', +}); +const zVectorMaskLine = z.object({ + id: z.string(), + type: z.literal('vector_mask_line'), + tool: zDrawingTool, + strokeWidth: z.number().min(1), + points: zPoints, +}); +export type VectorMaskLine = z.infer; -export type VectorMaskLine = { - id: string; - type: 'vector_mask_line'; - tool: DrawingTool; - strokeWidth: number; - points: number[]; -}; +const zVectorMaskRect = z.object({ + id: z.string(), + type: z.literal('vector_mask_rect'), + x: z.number(), + y: z.number(), + width: z.number().min(1), + height: z.number().min(1), +}); +export type VectorMaskRect = z.infer; -export type VectorMaskRect = { - id: string; - type: 'vector_mask_rect'; - x: number; - y: number; - width: number; - height: number; -}; +const zLayerBase = z.object({ + id: z.string(), + isEnabled: z.boolean().default(true), + isSelected: z.boolean().default(true), +}); -type LayerBase = { - id: string; - isEnabled: boolean; -}; +const zRect = z.object({ + x: z.number(), + y: z.number(), + width: z.number().min(1), + height: z.number().min(1), +}); +const zRenderableLayerBase = zLayerBase.extend({ + x: z.number(), + y: z.number(), + bbox: zRect.nullable(), + bboxNeedsUpdate: z.boolean(), +}); -type RenderableLayerBase = LayerBase & { - x: number; - y: number; - bbox: IRect | null; - bboxNeedsUpdate: boolean; - isSelected: boolean; -}; +const zControlAdapterLayer = zRenderableLayerBase.extend({ + type: z.literal('control_adapter_layer'), + opacity: z.number().gte(0).lte(1), + isFilterEnabled: z.boolean(), + controlAdapter: z.discriminatedUnion('type', [zControlNetConfigV2, zT2IAdapterConfigV2]), +}); +export type ControlAdapterLayer = z.infer; -export type ControlAdapterLayer = RenderableLayerBase & { - type: 'control_adapter_layer'; // technically, also t2i adapter layer - opacity: number; - isFilterEnabled: boolean; - controlAdapter: ControlNetConfigV2 | T2IAdapterConfigV2; -}; +const zIPAdapterLayer = zLayerBase.extend({ + type: z.literal('ip_adapter_layer'), + ipAdapter: zIPAdapterConfigV2, +}); +export type IPAdapterLayer = z.infer; -export type IPAdapterLayer = LayerBase & { - type: 'ip_adapter_layer'; - ipAdapter: IPAdapterConfigV2; -}; +const zRgbColor = 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), +}); +const zRegionalGuidanceLayer = zRenderableLayerBase.extend({ + type: z.literal('regional_guidance_layer'), + maskObjects: z.array(z.discriminatedUnion('type', [zVectorMaskLine, zVectorMaskRect])), + positivePrompt: zParameterPositivePrompt.nullable(), + negativePrompt: zParameterNegativePrompt.nullable(), + ipAdapters: z.array(zIPAdapterConfigV2), + previewColor: zRgbColor, + autoNegative: zAutoNegative, + uploadedMaskImage: zImageWithDims.nullable(), +}); +export type RegionalGuidanceLayer = z.infer; -export type RegionalGuidanceLayer = RenderableLayerBase & { - type: 'regional_guidance_layer'; - maskObjects: (VectorMaskLine | VectorMaskRect)[]; - positivePrompt: ParameterPositivePrompt | null; - negativePrompt: ParameterNegativePrompt | null; // Up to one text prompt per mask - ipAdapters: IPAdapterConfigV2[]; // Any number of image prompts - previewColor: RgbColor; - autoNegative: ParameterAutoNegative; - needsPixelBbox: boolean; // Needs the slower pixel-based bbox calculation - set to true when an there is an eraser object -}; +const zInitialImageLayer = zRenderableLayerBase.extend({ + type: z.literal('initial_image_layer'), + opacity: z.number().gte(0).lte(1), + image: zImageWithDims.nullable(), + denoisingStrength: zParameterStrength, +}); +export type InitialImageLayer = z.infer; -export type InitialImageLayer = RenderableLayerBase & { - type: 'initial_image_layer'; - opacity: number; - image: ImageWithDims | null; -}; - -export type Layer = RegionalGuidanceLayer | ControlAdapterLayer | IPAdapterLayer | InitialImageLayer; +export const zLayer = z.discriminatedUnion('type', [ + zRegionalGuidanceLayer, + zControlAdapterLayer, + zIPAdapterLayer, + zInitialImageLayer, +]); +export type Layer = z.infer; export type ControlLayersState = { - _version: 1; + _version: 3; selectedLayerId: string | null; layers: Layer[]; brushSize: number; diff --git a/invokeai/frontend/web/src/features/controlLayers/util/bbox.ts b/invokeai/frontend/web/src/features/controlLayers/util/bbox.ts index a4c7be6886..3b037863c9 100644 --- a/invokeai/frontend/web/src/features/controlLayers/util/bbox.ts +++ b/invokeai/frontend/web/src/features/controlLayers/util/bbox.ts @@ -2,7 +2,6 @@ import openBase64ImageInTab from 'common/util/openBase64ImageInTab'; import { imageDataToDataURL } from 'features/canvas/util/blobToDataURL'; import { RG_LAYER_OBJECT_GROUP_NAME } from 'features/controlLayers/store/controlLayersSlice'; import Konva from 'konva'; -import type { Layer as KonvaLayerType } from 'konva/lib/Layer'; import type { IRect } from 'konva/lib/types'; import { assert } from 'tsafe'; @@ -54,34 +53,30 @@ const getImageDataBbox = (imageData: ImageData): Extents | null => { }; /** - * Get the bounding box of a regional prompt konva layer. This function has special handling for regional prompt layers. - * @param layer The konva layer to get the bounding box of. - * @param preview Whether to open a new tab displaying the rendered layer, which is used to calculate the bbox. + * Clones a regional guidance konva layer onto an offscreen stage/canvas. This allows the pixel data for a given layer + * to be captured, manipulated or analyzed without interference from other layers. + * @param layer The konva layer to clone. + * @returns The cloned stage and layer. */ -export const getLayerBboxPixels = (layer: KonvaLayerType, preview: boolean = false): IRect | null => { - // To calculate the layer's bounding box, we must first export it to a pixel array, then do some math. - // - // Though it is relatively fast, we can't use Konva's `getClientRect`. It programmatically determines the rect - // by calculating the extents of individual shapes from their "vector" shape data. - // - // This doesn't work when some shapes are drawn with composite operations that "erase" pixels, like eraser lines. - // These shapes' extents are still calculated as if they were solid, leading to a bounding box that is too large. +const getIsolatedRGLayerClone = (layer: Konva.Layer): { stageClone: Konva.Stage; layerClone: Konva.Layer } => { const stage = layer.getStage(); - // Construct and offscreen canvas on which we will do the bbox calculations. + // Construct an offscreen canvas with the same dimensions as the layer's stage. const offscreenStageContainer = document.createElement('div'); - const offscreenStage = new Konva.Stage({ + const stageClone = new Konva.Stage({ container: offscreenStageContainer, + x: stage.x(), + y: stage.y(), width: stage.width(), height: stage.height(), }); // Clone the layer and filter out unwanted children. const layerClone = layer.clone(); - offscreenStage.add(layerClone); + stageClone.add(layerClone); for (const child of layerClone.getChildren()) { - if (child.name() === RG_LAYER_OBJECT_GROUP_NAME) { + if (child.name() === RG_LAYER_OBJECT_GROUP_NAME && child.hasChildren()) { // We need to cache the group to ensure it composites out eraser strokes correctly child.opacity(1); child.cache(); @@ -91,11 +86,31 @@ export const getLayerBboxPixels = (layer: KonvaLayerType, preview: boolean = fal } } + return { stageClone, layerClone }; +}; + +/** + * Get the bounding box of a regional prompt konva layer. This function has special handling for regional prompt layers. + * @param layer The konva layer to get the bounding box of. + * @param preview Whether to open a new tab displaying the rendered layer, which is used to calculate the bbox. + */ +export const getLayerBboxPixels = (layer: Konva.Layer, preview: boolean = false): IRect | null => { + // To calculate the layer's bounding box, we must first export it to a pixel array, then do some math. + // + // Though it is relatively fast, we can't use Konva's `getClientRect`. It programmatically determines the rect + // by calculating the extents of individual shapes from their "vector" shape data. + // + // This doesn't work when some shapes are drawn with composite operations that "erase" pixels, like eraser lines. + // These shapes' extents are still calculated as if they were solid, leading to a bounding box that is too large. + const { stageClone, layerClone } = getIsolatedRGLayerClone(layer); + // Get a worst-case rect using the relatively fast `getClientRect`. const layerRect = layerClone.getClientRect(); - + if (layerRect.width === 0 || layerRect.height === 0) { + return null; + } // Capture the image data with the above rect. - const layerImageData = offscreenStage + const layerImageData = stageClone .toCanvas(layerRect) .getContext('2d') ?.getImageData(0, 0, layerRect.width, layerRect.height); @@ -114,8 +129,8 @@ export const getLayerBboxPixels = (layer: KonvaLayerType, preview: boolean = fal // Correct the bounding box to be relative to the layer's position. const correctedLayerBbox = { - x: layerBbox.minX - Math.floor(stage.x()) + layerRect.x - Math.floor(layer.x()), - y: layerBbox.minY - Math.floor(stage.y()) + layerRect.y - Math.floor(layer.y()), + x: layerBbox.minX - Math.floor(stageClone.x()) + layerRect.x - Math.floor(layer.x()), + y: layerBbox.minY - Math.floor(stageClone.y()) + layerRect.y - Math.floor(layer.y()), width: layerBbox.maxX - layerBbox.minX, height: layerBbox.maxY - layerBbox.minY, }; @@ -123,7 +138,13 @@ export const getLayerBboxPixels = (layer: KonvaLayerType, preview: boolean = fal return correctedLayerBbox; }; -export const getLayerBboxFast = (layer: KonvaLayerType): IRect | null => { +/** + * Get the bounding box of a konva layer. This function is faster than `getLayerBboxPixels` but less accurate. It + * should only be used when there are no eraser strokes or shapes in the layer. + * @param layer The konva layer to get the bounding box of. + * @returns The bounding box of the layer. + */ +export const getLayerBboxFast = (layer: Konva.Layer): IRect => { const bbox = layer.getClientRect(GET_CLIENT_RECT_CONFIG); return { x: Math.floor(bbox.x), diff --git a/invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.test.ts b/invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.test.ts index 880514bf7c..31eb54e730 100644 --- a/invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.test.ts +++ b/invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.test.ts @@ -4,20 +4,74 @@ import { assert } from 'tsafe'; import { describe, test } from 'vitest'; import type { + _CannyProcessorConfig, + _ColorMapProcessorConfig, + _ContentShuffleProcessorConfig, + _DepthAnythingProcessorConfig, + _DWOpenposeProcessorConfig, + _HedProcessorConfig, + _LineartAnimeProcessorConfig, + _LineartProcessorConfig, + _MediapipeFaceProcessorConfig, + _MidasDepthProcessorConfig, + _MlsdProcessorConfig, + _NormalbaeProcessorConfig, + _PidiProcessorConfig, + _ZoeDepthProcessorConfig, + CannyProcessorConfig, CLIPVisionModelV2, + ColorMapProcessorConfig, + ContentShuffleProcessorConfig, ControlModeV2, DepthAnythingModelSize, + DepthAnythingProcessorConfig, + DWOpenposeProcessorConfig, + HedProcessorConfig, IPMethodV2, + LineartAnimeProcessorConfig, + LineartProcessorConfig, + MediapipeFaceProcessorConfig, + MidasDepthProcessorConfig, + MlsdProcessorConfig, + NormalbaeProcessorConfig, + PidiProcessorConfig, ProcessorConfig, ProcessorTypeV2, + ZoeDepthProcessorConfig, } from './controlAdapters'; describe('Control Adapter Types', () => { - test('ProcessorType', () => assert>()); - test('IP Adapter Method', () => assert, IPMethodV2>>()); - test('CLIP Vision Model', () => - assert, CLIPVisionModelV2>>()); - test('Control Mode', () => assert, ControlModeV2>>()); - test('DepthAnything Model Size', () => - assert, DepthAnythingModelSize>>()); + test('ProcessorType', () => { + assert>(); + }); + test('IP Adapter Method', () => { + assert, IPMethodV2>>(); + }); + test('CLIP Vision Model', () => { + assert, CLIPVisionModelV2>>(); + }); + test('Control Mode', () => { + assert, ControlModeV2>>(); + }); + test('DepthAnything Model Size', () => { + assert, DepthAnythingModelSize>>(); + }); + test('Processor Configs', () => { + // The processor configs are manually modeled zod schemas. This test ensures that the inferred types are correct. + // The types prefixed with `_` are types generated from OpenAPI, while the types without the prefix are manually modeled. + assert>(); + assert>(); + assert>(); + assert>(); + assert>(); + assert>(); + assert>(); + assert>(); + assert>(); + assert>(); + assert>(); + assert>(); + assert>(); + assert>(); + }); }); diff --git a/invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.ts b/invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.ts index 2964a2eb6c..41f1cf438f 100644 --- a/invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.ts +++ b/invokeai/frontend/web/src/features/controlLayers/util/controlAdapters.ts @@ -1,9 +1,5 @@ import { deepClone } from 'common/util/deepClone'; -import type { - ParameterControlNetModel, - ParameterIPAdapterModel, - ParameterT2IAdapterModel, -} from 'features/parameters/types/parameterSchemas'; +import { zModelIdentifierField } from 'features/nodes/types/common'; import { merge, omit } from 'lodash-es'; import type { BaseModelType, @@ -28,90 +24,201 @@ import type { } from 'services/api/types'; import { z } from 'zod'; +const zId = z.string().min(1); + +const zCannyProcessorConfig = z.object({ + id: zId, + type: z.literal('canny_image_processor'), + low_threshold: z.number().int().gte(0).lte(255), + high_threshold: z.number().int().gte(0).lte(255), +}); +export type _CannyProcessorConfig = Required< + Pick +>; +export type CannyProcessorConfig = z.infer; + +const zColorMapProcessorConfig = z.object({ + id: zId, + type: z.literal('color_map_image_processor'), + color_map_tile_size: z.number().int().gte(1), +}); +export type _ColorMapProcessorConfig = Required< + Pick +>; +export type ColorMapProcessorConfig = z.infer; + +const zContentShuffleProcessorConfig = z.object({ + id: zId, + type: z.literal('content_shuffle_image_processor'), + w: z.number().int().gte(0), + h: z.number().int().gte(0), + f: z.number().int().gte(0), +}); +export type _ContentShuffleProcessorConfig = Required< + Pick +>; +export type ContentShuffleProcessorConfig = z.infer; + const zDepthAnythingModelSize = z.enum(['large', 'base', 'small']); export type DepthAnythingModelSize = z.infer; export const isDepthAnythingModelSize = (v: unknown): v is DepthAnythingModelSize => zDepthAnythingModelSize.safeParse(v).success; - -export type CannyProcessorConfig = Required< - Pick ->; -export type ColorMapProcessorConfig = Required< - Pick ->; -export type ContentShuffleProcessorConfig = Required< - Pick ->; -export type DepthAnythingProcessorConfig = Required< +const zDepthAnythingProcessorConfig = z.object({ + id: zId, + type: z.literal('depth_anything_image_processor'), + model_size: zDepthAnythingModelSize, +}); +export type _DepthAnythingProcessorConfig = Required< Pick >; -export type HedProcessorConfig = Required>; -type LineartAnimeProcessorConfig = Required>; -export type LineartProcessorConfig = Required>; -export type MediapipeFaceProcessorConfig = Required< +export type DepthAnythingProcessorConfig = z.infer; + +const zHedProcessorConfig = z.object({ + id: zId, + type: z.literal('hed_image_processor'), + scribble: z.boolean(), +}); +export type _HedProcessorConfig = Required>; +export type HedProcessorConfig = z.infer; + +const zLineartAnimeProcessorConfig = z.object({ + id: zId, + type: z.literal('lineart_anime_image_processor'), +}); +export type _LineartAnimeProcessorConfig = Required>; +export type LineartAnimeProcessorConfig = z.infer; + +const zLineartProcessorConfig = z.object({ + id: zId, + type: z.literal('lineart_image_processor'), + coarse: z.boolean(), +}); +export type _LineartProcessorConfig = Required>; +export type LineartProcessorConfig = z.infer; + +const zMediapipeFaceProcessorConfig = z.object({ + id: zId, + type: z.literal('mediapipe_face_processor'), + max_faces: z.number().int().gte(1), + min_confidence: z.number().gte(0).lte(1), +}); +export type _MediapipeFaceProcessorConfig = Required< Pick >; -export type MidasDepthProcessorConfig = Required< +export type MediapipeFaceProcessorConfig = z.infer; + +const zMidasDepthProcessorConfig = z.object({ + id: zId, + type: z.literal('midas_depth_image_processor'), + a_mult: z.number().gte(0), + bg_th: z.number().gte(0), +}); +export type _MidasDepthProcessorConfig = Required< Pick >; -export type MlsdProcessorConfig = Required>; -type NormalbaeProcessorConfig = Required>; -export type DWOpenposeProcessorConfig = Required< +export type MidasDepthProcessorConfig = z.infer; + +const zMlsdProcessorConfig = z.object({ + id: zId, + type: z.literal('mlsd_image_processor'), + thr_v: z.number().gte(0), + thr_d: z.number().gte(0), +}); +export type _MlsdProcessorConfig = Required>; +export type MlsdProcessorConfig = z.infer; + +const zNormalbaeProcessorConfig = z.object({ + id: zId, + type: z.literal('normalbae_image_processor'), +}); +export type _NormalbaeProcessorConfig = Required>; +export type NormalbaeProcessorConfig = z.infer; + +const zDWOpenposeProcessorConfig = z.object({ + id: zId, + type: z.literal('dw_openpose_image_processor'), + draw_body: z.boolean(), + draw_face: z.boolean(), + draw_hands: z.boolean(), +}); +export type _DWOpenposeProcessorConfig = Required< Pick >; -export type PidiProcessorConfig = Required>; -type ZoeDepthProcessorConfig = Required>; +export type DWOpenposeProcessorConfig = z.infer; -export type ProcessorConfig = - | CannyProcessorConfig - | ColorMapProcessorConfig - | ContentShuffleProcessorConfig - | DepthAnythingProcessorConfig - | HedProcessorConfig - | LineartAnimeProcessorConfig - | LineartProcessorConfig - | MediapipeFaceProcessorConfig - | MidasDepthProcessorConfig - | MlsdProcessorConfig - | NormalbaeProcessorConfig - | DWOpenposeProcessorConfig - | PidiProcessorConfig - | ZoeDepthProcessorConfig; +const zPidiProcessorConfig = z.object({ + id: zId, + type: z.literal('pidi_image_processor'), + safe: z.boolean(), + scribble: z.boolean(), +}); +export type _PidiProcessorConfig = Required>; +export type PidiProcessorConfig = z.infer; -export type ImageWithDims = { - imageName: string; - width: number; - height: number; -}; +const zZoeDepthProcessorConfig = z.object({ + id: zId, + type: z.literal('zoe_depth_image_processor'), +}); +export type _ZoeDepthProcessorConfig = Required>; +export type ZoeDepthProcessorConfig = z.infer; -type ControlAdapterBase = { - id: string; - weight: number; - image: ImageWithDims | null; - processedImage: ImageWithDims | null; - isProcessingImage: boolean; - processorConfig: ProcessorConfig | null; - beginEndStepPct: [number, number]; -}; +const zProcessorConfig = z.discriminatedUnion('type', [ + zCannyProcessorConfig, + zColorMapProcessorConfig, + zContentShuffleProcessorConfig, + zDepthAnythingProcessorConfig, + zHedProcessorConfig, + zLineartAnimeProcessorConfig, + zLineartProcessorConfig, + zMediapipeFaceProcessorConfig, + zMidasDepthProcessorConfig, + zMlsdProcessorConfig, + zNormalbaeProcessorConfig, + zDWOpenposeProcessorConfig, + zPidiProcessorConfig, + zZoeDepthProcessorConfig, +]); +export type ProcessorConfig = z.infer; + +export const zImageWithDims = z.object({ + name: z.string(), + width: z.number().int().positive(), + height: z.number().int().positive(), +}); +export type ImageWithDims = z.infer; + +const zBeginEndStepPct = z + .tuple([z.number().gte(0).lte(1), z.number().gte(0).lte(1)]) + .refine(([begin, end]) => begin < end, { + message: 'Begin must be less than end', + }); + +const zControlAdapterBase = z.object({ + id: zId, + weight: z.number().gte(0).lte(1), + image: zImageWithDims.nullable(), + processedImage: zImageWithDims.nullable(), + processorConfig: zProcessorConfig.nullable(), + processorPendingBatchId: z.string().nullable().default(null), + beginEndStepPct: zBeginEndStepPct, +}); const zControlModeV2 = z.enum(['balanced', 'more_prompt', 'more_control', 'unbalanced']); export type ControlModeV2 = z.infer; export const isControlModeV2 = (v: unknown): v is ControlModeV2 => zControlModeV2.safeParse(v).success; -export type ControlNetConfigV2 = ControlAdapterBase & { - type: 'controlnet'; - model: ParameterControlNetModel | null; - controlMode: ControlModeV2; -}; -export const isControlNetConfigV2 = (ca: ControlNetConfigV2 | T2IAdapterConfigV2): ca is ControlNetConfigV2 => - ca.type === 'controlnet'; +export const zControlNetConfigV2 = zControlAdapterBase.extend({ + type: z.literal('controlnet'), + model: zModelIdentifierField.nullable(), + controlMode: zControlModeV2, +}); +export type ControlNetConfigV2 = z.infer; -export type T2IAdapterConfigV2 = ControlAdapterBase & { - type: 't2i_adapter'; - model: ParameterT2IAdapterModel | null; -}; -export const isT2IAdapterConfigV2 = (ca: ControlNetConfigV2 | T2IAdapterConfigV2): ca is T2IAdapterConfigV2 => - ca.type === 't2i_adapter'; +export const zT2IAdapterConfigV2 = zControlAdapterBase.extend({ + type: z.literal('t2i_adapter'), + model: zModelIdentifierField.nullable(), +}); +export type T2IAdapterConfigV2 = z.infer; const zCLIPVisionModelV2 = z.enum(['ViT-H', 'ViT-G']); export type CLIPVisionModelV2 = z.infer; @@ -121,16 +228,17 @@ const zIPMethodV2 = z.enum(['full', 'style', 'composition']); export type IPMethodV2 = z.infer; export const isIPMethodV2 = (v: unknown): v is IPMethodV2 => zIPMethodV2.safeParse(v).success; -export type IPAdapterConfigV2 = { - id: string; - type: 'ip_adapter'; - weight: number; - method: IPMethodV2; - image: ImageWithDims | null; - model: ParameterIPAdapterModel | null; - clipVisionModel: CLIPVisionModelV2; - beginEndStepPct: [number, number]; -}; +export const zIPAdapterConfigV2 = z.object({ + id: zId, + type: z.literal('ip_adapter'), + weight: z.number().gte(0).lte(1), + method: zIPMethodV2, + image: zImageWithDims.nullable(), + model: zModelIdentifierField.nullable(), + clipVisionModel: zCLIPVisionModelV2, + beginEndStepPct: zBeginEndStepPct, +}); +export type IPAdapterConfigV2 = z.infer; const zProcessorTypeV2 = z.enum([ 'canny_image_processor', @@ -190,7 +298,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { buildNode: (image, config) => ({ ...config, type: 'canny_image_processor', - image: { image_name: image.imageName }, + image: { image_name: image.name }, detect_resolution: minDim(image), image_resolution: minDim(image), }), @@ -207,7 +315,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { buildNode: (image, config) => ({ ...config, type: 'color_map_image_processor', - image: { image_name: image.imageName }, + image: { image_name: image.name }, }), }, content_shuffle_image_processor: { @@ -223,7 +331,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, detect_resolution: minDim(image), image_resolution: minDim(image), }), @@ -239,7 +347,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, resolution: minDim(image), }), }, @@ -254,7 +362,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, detect_resolution: minDim(image), image_resolution: minDim(image), }), @@ -269,7 +377,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, detect_resolution: minDim(image), image_resolution: minDim(image), }), @@ -285,7 +393,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, detect_resolution: minDim(image), image_resolution: minDim(image), }), @@ -302,7 +410,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, detect_resolution: minDim(image), image_resolution: minDim(image), }), @@ -319,7 +427,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, detect_resolution: minDim(image), image_resolution: minDim(image), }), @@ -336,7 +444,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, detect_resolution: minDim(image), image_resolution: minDim(image), }), @@ -351,7 +459,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, detect_resolution: minDim(image), image_resolution: minDim(image), }), @@ -369,7 +477,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, image_resolution: minDim(image), }), }, @@ -385,7 +493,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, detect_resolution: minDim(image), image_resolution: minDim(image), }), @@ -400,7 +508,7 @@ export const CA_PROCESSOR_DATA: CAProcessorsData = { }), buildNode: (image, config) => ({ ...config, - image: { image_name: image.imageName }, + image: { image_name: image.name }, }), }, }; @@ -413,8 +521,8 @@ export const initialControlNetV2: Omit = { controlMode: 'balanced', image: null, processedImage: null, - isProcessingImage: false, processorConfig: CA_PROCESSOR_DATA.canny_image_processor.buildDefaults(), + processorPendingBatchId: null, }; export const initialT2IAdapterV2: Omit = { @@ -424,8 +532,8 @@ export const initialT2IAdapterV2: Omit = { beginEndStepPct: [0, 1], image: null, processedImage: null, - isProcessingImage: false, processorConfig: CA_PROCESSOR_DATA.canny_image_processor.buildDefaults(), + processorPendingBatchId: null, }; export const initialIPAdapterV2: Omit = { @@ -462,7 +570,7 @@ export const buildControlAdapterProcessorV2 = ( }; export const imageDTOToImageWithDims = ({ image_name, width, height }: ImageDTO): ImageWithDims => ({ - imageName: image_name, + name: image_name, width, height, }); diff --git a/invokeai/frontend/web/src/features/controlLayers/util/renderers.ts b/invokeai/frontend/web/src/features/controlLayers/util/renderers.ts index 36083d2d92..25ac30387b 100644 --- a/invokeai/frontend/web/src/features/controlLayers/util/renderers.ts +++ b/invokeai/frontend/web/src/features/controlLayers/util/renderers.ts @@ -1,12 +1,13 @@ import { getStore } from 'app/store/nanostores/store'; import { rgbaColorToString, rgbColorToString } from 'features/canvas/util/colorToString'; -import { getScaledFlooredCursorPosition } from 'features/controlLayers/hooks/mouseEventHooks'; +import { getScaledFlooredCursorPosition, snapPosToStage } from 'features/controlLayers/hooks/mouseEventHooks'; import { $tool, BACKGROUND_LAYER_ID, BACKGROUND_RECT_ID, CA_LAYER_IMAGE_NAME, CA_LAYER_NAME, + COMPOSITING_RECT_NAME, getCALayerImageId, getIILayerImageId, getLayerBboxId, @@ -211,12 +212,13 @@ const renderToolPreview = ( } if (cursorPos && lastMouseDownPos && tool === 'rect') { + const snappedPos = snapPosToStage(cursorPos, stage); const rectPreview = toolPreviewLayer.findOne(`#${TOOL_PREVIEW_RECT_ID}`); rectPreview?.setAttrs({ - x: Math.min(cursorPos.x, lastMouseDownPos.x), - y: Math.min(cursorPos.y, lastMouseDownPos.y), - width: Math.abs(cursorPos.x - lastMouseDownPos.x), - height: Math.abs(cursorPos.y - lastMouseDownPos.y), + x: Math.min(snappedPos.x, lastMouseDownPos.x), + y: Math.min(snappedPos.y, lastMouseDownPos.y), + width: Math.abs(snappedPos.x - lastMouseDownPos.x), + height: Math.abs(snappedPos.y - lastMouseDownPos.y), }); rectPreview?.visible(true); } else { @@ -323,6 +325,12 @@ const createVectorMaskRect = (reduxObject: VectorMaskRect, konvaGroup: Konva.Gro return vectorMaskRect; }; +const createCompositingRect = (konvaLayer: Konva.Layer): Konva.Rect => { + const compositingRect = new Konva.Rect({ name: COMPOSITING_RECT_NAME, listening: false }); + konvaLayer.add(compositingRect); + return compositingRect; +}; + /** * Renders a vector mask layer. * @param stage The konva stage to render on. @@ -400,15 +408,53 @@ const renderRegionalGuidanceLayer = ( groupNeedsCache = true; } - if (konvaObjectGroup.children.length === 0) { + if (konvaObjectGroup.getChildren().length === 0) { // No objects - clear the cache to reset the previous pixel data konvaObjectGroup.clearCache(); - } else if (groupNeedsCache) { - konvaObjectGroup.cache(); + return; } - // Updating group opacity does not require re-caching - if (konvaObjectGroup.opacity() !== globalMaskLayerOpacity) { + const compositingRect = + konvaLayer.findOne(`.${COMPOSITING_RECT_NAME}`) ?? createCompositingRect(konvaLayer); + + /** + * When the group is selected, we use a rect of the selected preview color, composited over the shapes. This allows + * shapes to render as a "raster" layer with all pixels drawn at the same color and opacity. + * + * Without this special handling, each shape is drawn individually with the given opacity, atop the other shapes. The + * effect is like if you have a Photoshop Group consisting of many shapes, each of which has the given opacity. + * Overlapping shapes will have their colors blended together, and the final color is the result of all the shapes. + * + * Instead, with the special handling, the effect is as if you drew all the shapes at 100% opacity, flattened them to + * a single raster image, and _then_ applied the 50% opacity. + */ + if (reduxLayer.isSelected && tool !== 'move') { + // We must clear the cache first so Konva will re-draw the group with the new compositing rect + if (konvaObjectGroup.isCached()) { + konvaObjectGroup.clearCache(); + } + // The user is allowed to reduce mask opacity to 0, but we need the opacity for the compositing rect to work + konvaObjectGroup.opacity(1); + + compositingRect.setAttrs({ + // The rect should be the size of the layer - use the fast method if we don't have a pixel-perfect bbox already + ...(!reduxLayer.bboxNeedsUpdate && reduxLayer.bbox ? reduxLayer.bbox : getLayerBboxFast(konvaLayer)), + fill: rgbColor, + opacity: globalMaskLayerOpacity, + // Draw this rect only where there are non-transparent pixels under it (e.g. the mask shapes) + globalCompositeOperation: 'source-in', + visible: true, + // This rect must always be on top of all other shapes + zIndex: konvaObjectGroup.getChildren().length, + }); + } else { + // The compositing rect should only be shown when the layer is selected. + compositingRect.visible(false); + // Cache only if needed - or if we are on this code path and _don't_ have a cache + if (groupNeedsCache || !konvaObjectGroup.isCached()) { + konvaObjectGroup.cache(); + } + // Updating group opacity does not require re-caching konvaObjectGroup.opacity(globalMaskLayerOpacity); } }; @@ -418,6 +464,7 @@ const createInitialImageLayer = (stage: Konva.Stage, reduxLayer: InitialImageLay id: reduxLayer.id, name: INITIAL_IMAGE_LAYER_NAME, imageSmoothingEnabled: true, + listening: false, }); stage.add(konvaLayer); return konvaLayer; @@ -437,6 +484,9 @@ const updateInitialImageLayerImageAttrs = ( konvaImage: Konva.Image, reduxLayer: InitialImageLayer ) => { + // Konva erroneously reports NaN for width and height when the stage is hidden. This causes errors when caching, + // but it doesn't seem to break anything. + // TODO(psyche): Investigate and report upstream. const newWidth = stage.width() / stage.scaleX(); const newHeight = stage.height() / stage.scaleY(); if ( @@ -464,7 +514,7 @@ const updateInitialImageLayerImageSource = async ( reduxLayer: InitialImageLayer ) => { if (reduxLayer.image) { - const { imageName } = reduxLayer.image; + const imageName = reduxLayer.image.name; const req = getStore().dispatch(imagesApi.endpoints.getImageDTO.initiate(imageName)); const imageDTO = await req.unwrap(); req.unsubscribe(); @@ -497,7 +547,7 @@ const renderInitialImageLayer = (stage: Konva.Stage, reduxLayer: InitialImageLay let imageSourceNeedsUpdate = false; if (canvasImageSource instanceof HTMLImageElement) { const image = reduxLayer.image; - if (image && canvasImageSource.id !== getCALayerImageId(reduxLayer.id, image.imageName)) { + if (image && canvasImageSource.id !== getCALayerImageId(reduxLayer.id, image.name)) { imageSourceNeedsUpdate = true; } else if (!image) { imageSourceNeedsUpdate = true; @@ -518,6 +568,7 @@ const createControlNetLayer = (stage: Konva.Stage, reduxLayer: ControlAdapterLay id: reduxLayer.id, name: CA_LAYER_NAME, imageSmoothingEnabled: true, + listening: false, }); stage.add(konvaLayer); return konvaLayer; @@ -539,7 +590,7 @@ const updateControlNetLayerImageSource = async ( ) => { const image = reduxLayer.controlAdapter.processedImage ?? reduxLayer.controlAdapter.image; if (image) { - const { imageName } = image; + const imageName = image.name; const req = getStore().dispatch(imagesApi.endpoints.getImageDTO.initiate(imageName)); const imageDTO = await req.unwrap(); req.unsubscribe(); @@ -572,6 +623,9 @@ const updateControlNetLayerImageAttrs = ( reduxLayer: ControlAdapterLayer ) => { let needsCache = false; + // Konva erroneously reports NaN for width and height when the stage is hidden. This causes errors when caching, + // but it doesn't seem to break anything. + // TODO(psyche): Investigate and report upstream. const newWidth = stage.width() / stage.scaleX(); const newHeight = stage.height() / stage.scaleY(); const hasFilter = konvaImage.filters() !== null && konvaImage.filters().length > 0; @@ -607,7 +661,7 @@ const renderControlNetLayer = (stage: Konva.Stage, reduxLayer: ControlAdapterLay let imageSourceNeedsUpdate = false; if (canvasImageSource instanceof HTMLImageElement) { const image = reduxLayer.controlAdapter.processedImage ?? reduxLayer.controlAdapter.image; - if (image && canvasImageSource.id !== getCALayerImageId(reduxLayer.id, image.imageName)) { + if (image && canvasImageSource.id !== getCALayerImageId(reduxLayer.id, image.name)) { imageSourceNeedsUpdate = true; } else if (!image) { imageSourceNeedsUpdate = true; @@ -656,6 +710,7 @@ const renderLayers = ( if (isInitialImageLayer(reduxLayer)) { renderInitialImageLayer(stage, reduxLayer); } + // IP Adapter layers are not rendered } }; @@ -670,6 +725,7 @@ const createBboxRect = (reduxLayer: Layer, konvaLayer: Konva.Layer) => { id: getLayerBboxId(reduxLayer.id), name: LAYER_BBOX_NAME, strokeWidth: 1, + visible: false, }); konvaLayer.add(rect); return rect; @@ -679,18 +735,10 @@ const createBboxRect = (reduxLayer: Layer, konvaLayer: Konva.Layer) => { * Renders the bounding boxes for the layers. * @param stage The konva stage to render on * @param reduxLayers An array of all redux layers to draw bboxes for - * @param selectedLayerId The selected layer's id * @param tool The current tool - * @param onBboxChanged Callback for when the bbox is changed - * @param onBboxMouseDown Callback for when the bbox is clicked * @returns */ -const renderBbox = ( - stage: Konva.Stage, - reduxLayers: Layer[], - tool: Tool, - onBboxChanged: (layerId: string, bbox: IRect | null) => void -) => { +const renderBboxes = (stage: Konva.Stage, reduxLayers: Layer[], tool: Tool) => { // Hide all bboxes so they don't interfere with getClientRect for (const bboxRect of stage.find(`.${LAYER_BBOX_NAME}`)) { bboxRect.visible(false); @@ -701,36 +749,59 @@ const renderBbox = ( return; } - for (const reduxLayer of reduxLayers) { - if (reduxLayer.type === 'regional_guidance_layer') { - const konvaLayer = stage.findOne(`#${reduxLayer.id}`); - assert(konvaLayer, `Layer ${reduxLayer.id} not found in stage`); + for (const reduxLayer of reduxLayers.filter(isRegionalGuidanceLayer)) { + if (!reduxLayer.bbox) { + continue; + } + const konvaLayer = stage.findOne(`#${reduxLayer.id}`); + assert(konvaLayer, `Layer ${reduxLayer.id} not found in stage`); - let bbox = reduxLayer.bbox; + const bboxRect = konvaLayer.findOne(`.${LAYER_BBOX_NAME}`) ?? createBboxRect(reduxLayer, konvaLayer); - // We only need to recalculate the bbox if the layer has changed and it has objects - if (reduxLayer.bboxNeedsUpdate && reduxLayer.maskObjects.length) { - // We only need to use the pixel-perfect bounding box if the layer has eraser strokes - bbox = reduxLayer.needsPixelBbox ? getLayerBboxPixels(konvaLayer) : getLayerBboxFast(konvaLayer); - // Update the layer's bbox in the redux store - onBboxChanged(reduxLayer.id, bbox); + bboxRect.setAttrs({ + visible: !reduxLayer.bboxNeedsUpdate, + listening: reduxLayer.isSelected, + x: reduxLayer.bbox.x, + y: reduxLayer.bbox.y, + width: reduxLayer.bbox.width, + height: reduxLayer.bbox.height, + stroke: reduxLayer.isSelected ? BBOX_SELECTED_STROKE : '', + }); + } +}; + +/** + * Calculates the bbox of each regional guidance layer. Only calculates if the mask has changed. + * @param stage The konva stage to render on. + * @param reduxLayers An array of redux layers to calculate bboxes for + * @param onBboxChanged Callback for when the bounding box changes + */ +const updateBboxes = ( + stage: Konva.Stage, + reduxLayers: Layer[], + onBboxChanged: (layerId: string, bbox: IRect | null) => void +) => { + for (const rgLayer of reduxLayers.filter(isRegionalGuidanceLayer)) { + const konvaLayer = stage.findOne(`#${rgLayer.id}`); + assert(konvaLayer, `Layer ${rgLayer.id} not found in stage`); + // We only need to recalculate the bbox if the layer has changed + if (rgLayer.bboxNeedsUpdate) { + const bboxRect = konvaLayer.findOne(`.${LAYER_BBOX_NAME}`) ?? createBboxRect(rgLayer, konvaLayer); + + // Hide the bbox while we calculate the new bbox, else the bbox will be included in the calculation + const visible = bboxRect.visible(); + bboxRect.visible(false); + + if (rgLayer.maskObjects.length === 0) { + // No objects - no bbox to calculate + onBboxChanged(rgLayer.id, null); + } else { + // Calculate the bbox by rendering the layer and checking its pixels + onBboxChanged(rgLayer.id, getLayerBboxPixels(konvaLayer)); } - if (!bbox) { - continue; - } - - const rect = konvaLayer.findOne(`.${LAYER_BBOX_NAME}`) ?? createBboxRect(reduxLayer, konvaLayer); - - rect.setAttrs({ - visible: true, - listening: reduxLayer.isSelected, - x: bbox.x, - y: bbox.y, - width: bbox.width, - height: bbox.height, - stroke: reduxLayer.isSelected ? BBOX_SELECTED_STROKE : '', - }); + // Restore the visibility of the bbox + bboxRect.visible(visible); } } }; @@ -847,10 +918,11 @@ const renderNoLayersMessage = (stage: Konva.Stage, layerCount: number, width: nu export const renderers = { renderToolPreview, renderLayers, - renderBbox, + renderBboxes, renderBackground, renderNoLayersMessage, arrangeLayers, + updateBboxes, }; const DEBOUNCE_MS = 300; @@ -858,10 +930,11 @@ const DEBOUNCE_MS = 300; export const debouncedRenderers = { renderToolPreview: debounce(renderToolPreview, DEBOUNCE_MS), renderLayers: debounce(renderLayers, DEBOUNCE_MS), - renderBbox: debounce(renderBbox, DEBOUNCE_MS), + renderBboxes: debounce(renderBboxes, DEBOUNCE_MS), renderBackground: debounce(renderBackground, DEBOUNCE_MS), renderNoLayersMessage: debounce(renderNoLayersMessage, DEBOUNCE_MS), arrangeLayers: debounce(arrangeLayers, DEBOUNCE_MS), + updateBboxes: debounce(updateBboxes, DEBOUNCE_MS), }; /** diff --git a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts index ce989de7b1..a7934f72d2 100644 --- a/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts +++ b/invokeai/frontend/web/src/features/deleteImageModal/store/selectors.ts @@ -46,18 +46,16 @@ export const getImageUsage = ( const isControlLayerImage = controlLayers.layers.some((l) => { if (isRegionalGuidanceLayer(l)) { - return l.ipAdapters.some((ipa) => ipa.image?.imageName === image_name); + return l.ipAdapters.some((ipa) => ipa.image?.name === image_name); } if (isControlAdapterLayer(l)) { - return ( - l.controlAdapter.image?.imageName === image_name || l.controlAdapter.processedImage?.imageName === image_name - ); + return l.controlAdapter.image?.name === image_name || l.controlAdapter.processedImage?.name === image_name; } if (isIPAdapterLayer(l)) { - return l.ipAdapter.image?.imageName === image_name; + return l.ipAdapter.image?.name === image_name; } if (isInitialImageLayer(l)) { - return l.image?.imageName === image_name; + return l.image?.name === image_name; } return false; }); diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx index 7bfb4050fb..a25f6d8c0e 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageContextMenu/SingleSelectionMenuItems.tsx @@ -73,6 +73,7 @@ const SingleSelectionMenuItems = (props: SingleSelectionMenuItemsProps) => { const handleSendToImageToImage = useCallback(() => { dispatch(sentImageToImg2Img()); dispatch(iiLayerAdded(imageDTO)); + dispatch(setActiveTab('generation')); }, [dispatch, imageDTO]); const handleSendToCanvas = useCallback(() => { diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx index 2788b1095d..2c53599ba3 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageGrid/GalleryImage.tsx @@ -11,6 +11,7 @@ import type { GallerySelectionDraggableData, ImageDraggableData, TypesafeDraggab import { getGalleryImageDataTestId } from 'features/gallery/components/ImageGrid/getGalleryImageDataTestId'; import { useMultiselect } from 'features/gallery/hooks/useMultiselect'; import { useScrollIntoView } from 'features/gallery/hooks/useScrollIntoView'; +import { isImageViewerOpenChanged } from 'features/gallery/store/gallerySlice'; import type { MouseEvent } from 'react'; import { memo, useCallback, useMemo, useState } from 'react'; import { useTranslation } from 'react-i18next'; @@ -102,6 +103,10 @@ const GalleryImage = (props: HoverableImageProps) => { setIsHovered(true); }, []); + const onDoubleClick = useCallback(() => { + dispatch(isImageViewerOpenChanged(true)); + }, [dispatch]); + const handleMouseOut = useCallback(() => { setIsHovered(false); }, []); @@ -143,6 +148,7 @@ const GalleryImage = (props: HoverableImageProps) => { > { const { label, data, fileName, withDownload = true, withCopy = true, extraCopyActions } = props; - const dataString = useMemo(() => (isString(data) ? data : JSON.stringify(data, null, 2)), [data]); + const dataString = useMemo(() => (isString(data) ? data : formatter.Serialize(data)) ?? '', [data]); const shift = useShiftModifier(); const handleCopy = useCallback(() => { navigator.clipboard.writeText(dataString); diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx index c73f5b1817..a192ff4fbb 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageMetadataViewer/ImageMetadataActions.tsx @@ -1,12 +1,10 @@ import { useAppSelector } from 'app/store/storeHooks'; import { MetadataControlNets } from 'features/metadata/components/MetadataControlNets'; -import { MetadataControlNetsV2 } from 'features/metadata/components/MetadataControlNetsV2'; import { MetadataIPAdapters } from 'features/metadata/components/MetadataIPAdapters'; -import { MetadataIPAdaptersV2 } from 'features/metadata/components/MetadataIPAdaptersV2'; import { MetadataItem } from 'features/metadata/components/MetadataItem'; +import { MetadataLayers } from 'features/metadata/components/MetadataLayers'; import { MetadataLoRAs } from 'features/metadata/components/MetadataLoRAs'; import { MetadataT2IAdapters } from 'features/metadata/components/MetadataT2IAdapters'; -import { MetadataT2IAdaptersV2 } from 'features/metadata/components/MetadataT2IAdaptersV2'; import { handlers } from 'features/metadata/util/handlers'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { memo } from 'react'; @@ -39,8 +37,7 @@ const ImageMetadataActions = (props: Props) => { - - + {activeTabName !== 'generation' && } @@ -52,12 +49,10 @@ const ImageMetadataActions = (props: Props) => { + {activeTabName === 'generation' && } {activeTabName !== 'generation' && } {activeTabName !== 'generation' && } {activeTabName !== 'generation' && } - {activeTabName === 'generation' && } - {activeTabName === 'generation' && } - {activeTabName === 'generation' && } ); }; diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/CurrentImageButtons.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/CurrentImageButtons.tsx index f93f48e51b..ada9c35d28 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/CurrentImageButtons.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/CurrentImageButtons.tsx @@ -16,6 +16,7 @@ import ParamUpscalePopover from 'features/parameters/components/Upscale/ParamUps import { useIsQueueMutationInProgress } from 'features/queue/hooks/useIsQueueMutationInProgress'; import { useFeatureStatus } from 'features/system/hooks/useFeatureStatus'; import { selectSystemSlice } from 'features/system/store/systemSlice'; +import { setActiveTab } from 'features/ui/store/uiSlice'; import { useGetAndLoadEmbeddedWorkflow } from 'features/workflowLibrary/hooks/useGetAndLoadEmbeddedWorkflow'; import { memo, useCallback } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; @@ -84,6 +85,7 @@ const CurrentImageButtons = () => { } dispatch(sentImageToImg2Img()); dispatch(iiLayerAdded(imageDTO)); + dispatch(setActiveTab('generation')); }, [dispatch, imageDTO]); useHotkeys('shift+i', handleSendToImageToImage, [imageDTO]); diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/CurrentImagePreview.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/CurrentImagePreview.tsx index 37fada0b78..f40ecfca32 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/CurrentImagePreview.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/CurrentImagePreview.tsx @@ -22,7 +22,21 @@ const selectLastSelectedImageName = createSelector( (lastSelectedImage) => lastSelectedImage?.image_name ); -const CurrentImagePreview = () => { +type Props = { + isDragDisabled?: boolean; + isDropDisabled?: boolean; + withNextPrevButtons?: boolean; + withMetadata?: boolean; + alwaysShowProgress?: boolean; +}; + +const CurrentImagePreview = ({ + isDragDisabled = false, + isDropDisabled = false, + withNextPrevButtons = true, + withMetadata = true, + alwaysShowProgress = false, +}: Props) => { const { t } = useTranslation(); const shouldShowImageDetails = useAppSelector((s) => s.ui.shouldShowImageDetails); const imageName = useAppSelector(selectLastSelectedImageName); @@ -52,30 +66,35 @@ const CurrentImagePreview = () => { // Show and hide the next/prev buttons on mouse move const [shouldShowNextPrevButtons, setShouldShowNextPrevButtons] = useState(false); const timeoutId = useRef(0); - const onMouseMove = useCallback(() => { + const onMouseOver = useCallback(() => { setShouldShowNextPrevButtons(true); window.clearTimeout(timeoutId.current); + }, []); + const onMouseOut = useCallback(() => { timeoutId.current = window.setTimeout(() => { setShouldShowNextPrevButtons(false); - }, 1000); + }, 500); }, []); return ( - {hasDenoiseProgress && shouldShowProgressInViewer ? ( + {hasDenoiseProgress && (shouldShowProgressInViewer || alwaysShowProgress) ? ( ) : ( { dataTestId="image-preview" /> )} + {shouldShowImageDetails && imageDTO && withMetadata && ( + + + + )} - {shouldShowImageDetails && imageDTO && ( - - - - )} - - - {shouldShowNextPrevButtons && imageDTO && ( + {withNextPrevButtons && shouldShowNextPrevButtons && imageDTO && ( = { - generation: 'ui.tabs.generationTab', - canvas: 'ui.tabs.canvasTab', - workflows: 'ui.tabs.workflowsTab', - models: 'ui.tabs.modelsTab', - queue: 'ui.tabs.queueTab', -}; - -const TAB_NAME_TO_TKEY_SHORT: Record = { - generation: 'ui.tabs.generation', - canvas: 'ui.tabs.canvas', - workflows: 'ui.tabs.workflows', - models: 'ui.tabs.models', - queue: 'ui.tabs.queue', -}; - -export const EditorButton = () => { - const { t } = useTranslation(); - const { onClose } = useImageViewer(); - const activeTabName = useAppSelector(activeTabNameSelector); - const tooltip = useMemo(() => t('gallery.switchTo', { tab: t(TAB_NAME_TO_TKEY[activeTabName]) }), [t, activeTabName]); - - return ( - - ); -}; diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ImageViewer.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ImageViewer.tsx index 874464f938..7064e553dc 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ImageViewer.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ImageViewer.tsx @@ -5,26 +5,12 @@ import { ToggleProgressButton } from 'features/gallery/components/ImageViewer/To import { useImageViewer } from 'features/gallery/components/ImageViewer/useImageViewer'; import type { InvokeTabName } from 'features/ui/store/tabMap'; import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; -import type { AnimationProps } from 'framer-motion'; -import { AnimatePresence, motion } from 'framer-motion'; import { memo, useMemo } from 'react'; import { useHotkeys } from 'react-hotkeys-hook'; import CurrentImageButtons from './CurrentImageButtons'; import CurrentImagePreview from './CurrentImagePreview'; -import { EditorButton } from './EditorButton'; - -const initial: AnimationProps['initial'] = { - opacity: 0, -}; -const animate: AnimationProps['animate'] = { - opacity: 1, - transition: { duration: 0.07 }, -}; -const exit: AnimationProps['exit'] = { - opacity: 0, - transition: { duration: 0.07 }, -}; +import { ViewerToggleMenu } from './ViewerToggleMenu'; const VIEWER_ENABLED_TABS: InvokeTabName[] = ['canvas', 'generation', 'workflows']; @@ -42,49 +28,44 @@ export const ImageViewer = memo(() => { useHotkeys('z', onToggle, { enabled: isViewerEnabled }, [isViewerEnabled, onToggle]); useHotkeys('esc', onClose, { enabled: isViewerEnabled }, [isViewerEnabled, onClose]); + if (!shouldShowViewer) { + return null; + } + return ( - - {shouldShowViewer && ( - - - - - - - - - - - - - - - - + + + + + + - - )} - + + + + + + + + + + + ); }); diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ImageViewerWorkflows.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ImageViewerWorkflows.tsx new file mode 100644 index 0000000000..fe09f11be6 --- /dev/null +++ b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ImageViewerWorkflows.tsx @@ -0,0 +1,45 @@ +import { Flex } from '@invoke-ai/ui-library'; +import { ToggleMetadataViewerButton } from 'features/gallery/components/ImageViewer/ToggleMetadataViewerButton'; +import { ToggleProgressButton } from 'features/gallery/components/ImageViewer/ToggleProgressButton'; +import { memo } from 'react'; + +import CurrentImageButtons from './CurrentImageButtons'; +import CurrentImagePreview from './CurrentImagePreview'; + +export const ImageViewerWorkflows = memo(() => { + return ( + + + + + + + + + + + + + + + + + + ); +}); + +ImageViewerWorkflows.displayName = 'ImageViewerWorkflows'; diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ToggleMetadataViewerButton.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ToggleMetadataViewerButton.tsx index a298ebda56..4bf55116db 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ToggleMetadataViewerButton.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ToggleMetadataViewerButton.tsx @@ -35,6 +35,7 @@ export const ToggleMetadataViewerButton = memo(() => { isDisabled={!imageDTO} variant="outline" colorScheme={shouldShowImageDetails ? 'invokeBlue' : 'base'} + data-testid="toggle-show-metadata-button" /> ); }); diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ToggleProgressButton.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ToggleProgressButton.tsx index 994a8bf10e..ee698130fb 100644 --- a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ToggleProgressButton.tsx +++ b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ToggleProgressButton.tsx @@ -22,6 +22,7 @@ export const ToggleProgressButton = memo(() => { onClick={onClick} variant="outline" colorScheme={shouldShowProgressInViewer ? 'invokeBlue' : 'base'} + data-testid="toggle-show-progress-button" /> ); }); diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ViewerButton.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ViewerButton.tsx deleted file mode 100644 index a57ae9d1ee..0000000000 --- a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ViewerButton.tsx +++ /dev/null @@ -1,17 +0,0 @@ -import { Button } from '@invoke-ai/ui-library'; -import { useMemo } from 'react'; -import { useTranslation } from 'react-i18next'; - -import { useImageViewer } from './useImageViewer'; - -export const ViewerButton = () => { - const { t } = useTranslation(); - const { onOpen } = useImageViewer(); - const tooltip = useMemo(() => t('gallery.switchTo', { tab: t('common.viewer') }), [t]); - - return ( - - ); -}; diff --git a/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ViewerToggleMenu.tsx b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ViewerToggleMenu.tsx new file mode 100644 index 0000000000..3552c28a5b --- /dev/null +++ b/invokeai/frontend/web/src/features/gallery/components/ImageViewer/ViewerToggleMenu.tsx @@ -0,0 +1,67 @@ +import { + Button, + Flex, + Icon, + Popover, + PopoverArrow, + PopoverBody, + PopoverContent, + PopoverTrigger, + Text, +} from '@invoke-ai/ui-library'; +import { useTranslation } from 'react-i18next'; +import { PiCaretDownBold, PiCheckBold, PiEyeBold, PiPencilBold } from 'react-icons/pi'; + +import { useImageViewer } from './useImageViewer'; + +export const ViewerToggleMenu = () => { + const { t } = useTranslation(); + const { isOpen, onClose, onOpen } = useImageViewer(); + + return ( + + + + + + + + + + + + + + + ); +}; diff --git a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts index 373d946469..af19017486 100644 --- a/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts +++ b/invokeai/frontend/web/src/features/gallery/store/gallerySlice.ts @@ -21,7 +21,7 @@ const initialGalleryState: GalleryState = { boardSearchText: '', limit: INITIAL_IMAGE_LIMIT, offset: 0, - isImageViewerOpen: false, + isImageViewerOpen: true, }; export const gallerySlice = createSlice({ @@ -30,11 +30,9 @@ export const gallerySlice = createSlice({ reducers: { imageSelected: (state, action: PayloadAction) => { state.selection = action.payload ? [action.payload] : []; - state.isImageViewerOpen = true; }, selectionChanged: (state, action: PayloadAction) => { state.selection = uniqBy(action.payload, (i) => i.image_name); - state.isImageViewerOpen = true; }, shouldAutoSwitchChanged: (state, action: PayloadAction) => { state.shouldAutoSwitch = action.payload; diff --git a/invokeai/frontend/web/src/features/metadata/components/MetadataControlNetsV2.tsx b/invokeai/frontend/web/src/features/metadata/components/MetadataControlNetsV2.tsx deleted file mode 100644 index 5f4df78afc..0000000000 --- a/invokeai/frontend/web/src/features/metadata/components/MetadataControlNetsV2.tsx +++ /dev/null @@ -1,72 +0,0 @@ -import { MetadataItemView } from 'features/metadata/components/MetadataItemView'; -import type { ControlNetConfigV2Metadata, MetadataHandlers } from 'features/metadata/types'; -import { handlers } from 'features/metadata/util/handlers'; -import { useCallback, useEffect, useMemo, useState } from 'react'; - -type Props = { - metadata: unknown; -}; - -export const MetadataControlNetsV2 = ({ metadata }: Props) => { - const [controlNets, setControlNets] = useState([]); - - useEffect(() => { - const parse = async () => { - try { - const parsed = await handlers.controlNetsV2.parse(metadata); - setControlNets(parsed); - } catch (e) { - setControlNets([]); - } - }; - parse(); - }, [metadata]); - - const label = useMemo(() => handlers.controlNetsV2.getLabel(), []); - - return ( - <> - {controlNets.map((controlNet) => ( - - ))} - - ); -}; - -const MetadataViewControlNet = ({ - label, - controlNet, - handlers, -}: { - label: string; - controlNet: ControlNetConfigV2Metadata; - handlers: MetadataHandlers; -}) => { - const onRecall = useCallback(() => { - if (!handlers.recallItem) { - return; - } - handlers.recallItem(controlNet, true); - }, [handlers, controlNet]); - - const [renderedValue, setRenderedValue] = useState(null); - useEffect(() => { - const _renderValue = async () => { - if (!handlers.renderItemValue) { - setRenderedValue(null); - return; - } - const rendered = await handlers.renderItemValue(controlNet); - setRenderedValue(rendered); - }; - - _renderValue(); - }, [handlers, controlNet]); - - return ; -}; diff --git a/invokeai/frontend/web/src/features/metadata/components/MetadataItem.tsx b/invokeai/frontend/web/src/features/metadata/components/MetadataItem.tsx index 66d101f458..7489b05158 100644 --- a/invokeai/frontend/web/src/features/metadata/components/MetadataItem.tsx +++ b/invokeai/frontend/web/src/features/metadata/components/MetadataItem.tsx @@ -3,6 +3,7 @@ import { MetadataItemView } from 'features/metadata/components/MetadataItemView' import { useMetadataItem } from 'features/metadata/hooks/useMetadataItem'; import type { MetadataHandlers } from 'features/metadata/types'; import { MetadataParseFailedToken } from 'features/metadata/util/parsers'; +import { isSymbol } from 'lodash-es'; type MetadataItemProps = { metadata: unknown; @@ -17,6 +18,10 @@ const _MetadataItem = typedMemo(({ metadata, handlers, direction = 'row' }: return null; } + if (handlers.getIsVisible && !isSymbol(value) && !handlers.getIsVisible(value)) { + return null; + } + return ( { - const [ipAdapters, setIPAdapters] = useState([]); +export const MetadataLayers = ({ metadata }: Props) => { + const [layers, setLayers] = useState([]); useEffect(() => { const parse = async () => { try { - const parsed = await handlers.ipAdaptersV2.parse(metadata); - setIPAdapters(parsed); + const parsed = await handlers.layers.parse(metadata); + setLayers(parsed); } catch (e) { - setIPAdapters([]); + setLayers([]); } }; parse(); }, [metadata]); - const label = useMemo(() => handlers.ipAdaptersV2.getLabel(), []); + const label = useMemo(() => handlers.layers.getLabel(), []); return ( <> - {ipAdapters.map((ipAdapter) => ( - + {layers.map((layer) => ( + ))} ); }; -const MetadataViewIPAdapter = ({ +const MetadataViewLayer = ({ label, - ipAdapter, + layer, handlers, }: { label: string; - ipAdapter: IPAdapterConfigV2Metadata; - handlers: MetadataHandlers; + layer: Layer; + handlers: MetadataHandlers; }) => { const onRecall = useCallback(() => { if (!handlers.recallItem) { return; } - handlers.recallItem(ipAdapter, true); - }, [handlers, ipAdapter]); + handlers.recallItem(layer, true); + }, [handlers, layer]); const [renderedValue, setRenderedValue] = useState(null); useEffect(() => { @@ -61,12 +57,12 @@ const MetadataViewIPAdapter = ({ setRenderedValue(null); return; } - const rendered = await handlers.renderItemValue(ipAdapter); + const rendered = await handlers.renderItemValue(layer); setRenderedValue(rendered); }; _renderValue(); - }, [handlers, ipAdapter]); + }, [handlers, layer]); return ; }; diff --git a/invokeai/frontend/web/src/features/metadata/components/MetadataT2IAdaptersV2.tsx b/invokeai/frontend/web/src/features/metadata/components/MetadataT2IAdaptersV2.tsx deleted file mode 100644 index 42d3de2ec2..0000000000 --- a/invokeai/frontend/web/src/features/metadata/components/MetadataT2IAdaptersV2.tsx +++ /dev/null @@ -1,72 +0,0 @@ -import { MetadataItemView } from 'features/metadata/components/MetadataItemView'; -import type { MetadataHandlers, T2IAdapterConfigV2Metadata } from 'features/metadata/types'; -import { handlers } from 'features/metadata/util/handlers'; -import { useCallback, useEffect, useMemo, useState } from 'react'; - -type Props = { - metadata: unknown; -}; - -export const MetadataT2IAdaptersV2 = ({ metadata }: Props) => { - const [t2iAdapters, setT2IAdapters] = useState([]); - - useEffect(() => { - const parse = async () => { - try { - const parsed = await handlers.t2iAdaptersV2.parse(metadata); - setT2IAdapters(parsed); - } catch (e) { - setT2IAdapters([]); - } - }; - parse(); - }, [metadata]); - - const label = useMemo(() => handlers.t2iAdaptersV2.getLabel(), []); - - return ( - <> - {t2iAdapters.map((t2iAdapter) => ( - - ))} - - ); -}; - -const MetadataViewT2IAdapter = ({ - label, - t2iAdapter, - handlers, -}: { - label: string; - t2iAdapter: T2IAdapterConfigV2Metadata; - handlers: MetadataHandlers; -}) => { - const onRecall = useCallback(() => { - if (!handlers.recallItem) { - return; - } - handlers.recallItem(t2iAdapter, true); - }, [handlers, t2iAdapter]); - - const [renderedValue, setRenderedValue] = useState(null); - useEffect(() => { - const _renderValue = async () => { - if (!handlers.renderItemValue) { - setRenderedValue(null); - return; - } - const rendered = await handlers.renderItemValue(t2iAdapter); - setRenderedValue(rendered); - }; - - _renderValue(); - }, [handlers, t2iAdapter]); - - return ; -}; diff --git a/invokeai/frontend/web/src/features/metadata/types.ts b/invokeai/frontend/web/src/features/metadata/types.ts index 30a34ec0c6..dfc1e828c9 100644 --- a/invokeai/frontend/web/src/features/metadata/types.ts +++ b/invokeai/frontend/web/src/features/metadata/types.ts @@ -1,9 +1,4 @@ import type { ControlNetConfig, IPAdapterConfig, T2IAdapterConfig } from 'features/controlAdapters/store/types'; -import type { - ControlNetConfigV2, - IPAdapterConfigV2, - T2IAdapterConfigV2, -} from 'features/controlLayers/util/controlAdapters'; import type { O } from 'ts-toolbelt'; /** @@ -50,6 +45,14 @@ export type MetadataParseFunc = (metadata: unknown) => Promise; */ export type MetadataValidateFunc = (value: T) => Promise; +/** + * A function that determines whether a metadata item should be visible. + * + * @param value The value to check. + * @returns True if the item should be visible, false otherwise. + */ +type MetadataGetIsVisibleFunc = (value: T) => boolean; + export type MetadataHandlers = { /** * Gets the label of the current metadata item as a string. @@ -111,6 +114,14 @@ export type MetadataHandlers = { * @returns The rendered item. */ renderItemValue?: MetadataRenderValueFunc; + /** + * Checks if a parsed metadata value should be visible. + * If not provided, the item is always visible. + * + * @param value The value to check. + * @returns True if the item should be visible, false otherwise. + */ + getIsVisible?: MetadataGetIsVisibleFunc; }; // TODO(psyche): The types for item handlers should be able to be inferred from the type of the value: @@ -127,6 +138,7 @@ type BuildMetadataHandlersArg = { getLabel: MetadataGetLabelFunc; renderValue?: MetadataRenderValueFunc; renderItemValue?: MetadataRenderValueFunc; + getIsVisible?: MetadataGetIsVisibleFunc; }; export type BuildMetadataHandlers = ( @@ -140,11 +152,3 @@ export type AnyControlAdapterConfigMetadata = | ControlNetConfigMetadata | T2IAdapterConfigMetadata | IPAdapterConfigMetadata; - -export type ControlNetConfigV2Metadata = O.NonNullable; -export type T2IAdapterConfigV2Metadata = O.NonNullable; -export type IPAdapterConfigV2Metadata = O.NonNullable; -export type AnyControlAdapterConfigV2Metadata = - | ControlNetConfigV2Metadata - | T2IAdapterConfigV2Metadata - | IPAdapterConfigV2Metadata; diff --git a/invokeai/frontend/web/src/features/metadata/util/handlers.ts b/invokeai/frontend/web/src/features/metadata/util/handlers.ts index 467f702cea..b0d0e22688 100644 --- a/invokeai/frontend/web/src/features/metadata/util/handlers.ts +++ b/invokeai/frontend/web/src/features/metadata/util/handlers.ts @@ -1,9 +1,9 @@ import { objectKeys } from 'common/util/objectKeys'; import { toast } from 'common/util/toast'; +import type { Layer } from 'features/controlLayers/store/types'; import type { LoRA } from 'features/lora/store/loraSlice'; import type { AnyControlAdapterConfigMetadata, - AnyControlAdapterConfigV2Metadata, BuildMetadataHandlers, MetadataGetLabelFunc, MetadataHandlers, @@ -16,6 +16,7 @@ import { fetchModelConfig } from 'features/metadata/util/modelFetchingHelpers'; import { validators } from 'features/metadata/util/validators'; import type { ModelIdentifierField } from 'features/nodes/types/common'; import { t } from 'i18next'; +import { assert } from 'tsafe'; import { parsers } from './parsers'; import { recallers } from './recallers'; @@ -44,13 +45,48 @@ const renderControlAdapterValue: MetadataRenderValueFunc = async (value) => { - try { - const modelConfig = await fetchModelConfig(value.model.key ?? 'none'); - return `${modelConfig.name} (${modelConfig.base.toUpperCase()}) - ${value.weight}`; - } catch { - return `${value.model.key} (${value.model.base.toUpperCase()}) - ${value.weight}`; +const renderLayerValue: MetadataRenderValueFunc = async (layer) => { + if (layer.type === 'initial_image_layer') { + let rendered = t('controlLayers.globalInitialImageLayer'); + if (layer.image) { + rendered += ` (${layer.image})`; + } + return rendered; } + if (layer.type === 'control_adapter_layer') { + let rendered = t('controlLayers.globalControlAdapterLayer'); + const model = layer.controlAdapter.model; + if (model) { + rendered += ` (${model.name} - ${model.base.toUpperCase()})`; + } + return rendered; + } + if (layer.type === 'ip_adapter_layer') { + let rendered = t('controlLayers.globalIPAdapterLayer'); + const model = layer.ipAdapter.model; + if (model) { + rendered += ` (${model.name} - ${model.base.toUpperCase()})`; + } + return rendered; + } + if (layer.type === 'regional_guidance_layer') { + const rendered = t('controlLayers.regionalGuidanceLayer'); + const items: string[] = []; + if (layer.positivePrompt) { + items.push(`Positive: ${layer.positivePrompt}`); + } + if (layer.negativePrompt) { + items.push(`Negative: ${layer.negativePrompt}`); + } + if (layer.ipAdapters.length > 0) { + items.push(`${layer.ipAdapters.length} IP Adapters`); + } + return `${rendered} (${items.join(', ')})`; + } + assert(false, 'Unknown layer type'); +}; +const renderLayersValue: MetadataRenderValueFunc = async (layers) => { + return `${layers.length} ${t('controlLayers.layers', { count: layers.length })}`; }; const parameterSetToast = (parameter: string, description?: string) => { @@ -73,26 +109,6 @@ const parameterNotSetToast = (parameter: string, description?: string) => { }); }; -// const allParameterSetToast = (description?: string) => { -// toast({ -// title: t('toast.parametersSet'), -// status: 'info', -// description, -// duration: 2500, -// isClosable: true, -// }); -// }; - -// const allParameterNotSetToast = (description?: string) => { -// toast({ -// title: t('toast.parametersNotSet'), -// status: 'warning', -// description, -// duration: 2500, -// isClosable: true, -// }); -// }; - const buildParse = (arg: { parser: MetadataParseFunc; @@ -171,6 +187,7 @@ const buildHandlers: BuildMetadataHandlers = ({ itemValidator, renderValue, renderItemValue, + getIsVisible, }) => ({ parse: buildParse({ parser, getLabel }), parseItem: itemParser ? buildParseItem({ itemParser, getLabel }) : undefined, @@ -179,6 +196,7 @@ const buildHandlers: BuildMetadataHandlers = ({ getLabel, renderValue: renderValue ?? resolveToString, renderItemValue: renderItemValue ?? resolveToString, + getIsVisible, }); export const handlers = { @@ -198,12 +216,6 @@ export const handlers = { recaller: recallers.cfgScale, }), height: buildHandlers({ getLabel: () => t('metadata.height'), parser: parsers.height, recaller: recallers.height }), - initialImage: buildHandlers({ - getLabel: () => t('metadata.initImage'), - parser: parsers.initialImage, - recaller: recallers.initialImage, - renderValue: async (imageDTO) => imageDTO.image_name, - }), negativePrompt: buildHandlers({ getLabel: () => t('metadata.negativePrompt'), parser: parsers.negativePrompt, @@ -350,35 +362,17 @@ export const handlers = { itemValidator: validators.t2iAdapter, renderItemValue: renderControlAdapterValue, }), - controlNetsV2: buildHandlers({ - getLabel: () => t('common.controlNet'), - parser: parsers.controlNetsV2, - itemParser: parsers.controlNetV2, - recaller: recallers.controlNetsV2, - itemRecaller: recallers.controlNetV2, - validator: validators.controlNetsV2, - itemValidator: validators.controlNetV2, - renderItemValue: renderControlAdapterValueV2, - }), - ipAdaptersV2: buildHandlers({ - getLabel: () => t('common.ipAdapter'), - parser: parsers.ipAdaptersV2, - itemParser: parsers.ipAdapterV2, - recaller: recallers.ipAdaptersV2, - itemRecaller: recallers.ipAdapterV2, - validator: validators.ipAdaptersV2, - itemValidator: validators.ipAdapterV2, - renderItemValue: renderControlAdapterValueV2, - }), - t2iAdaptersV2: buildHandlers({ - getLabel: () => t('common.t2iAdapter'), - parser: parsers.t2iAdaptersV2, - itemParser: parsers.t2iAdapterV2, - recaller: recallers.t2iAdaptersV2, - itemRecaller: recallers.t2iAdapterV2, - validator: validators.t2iAdaptersV2, - itemValidator: validators.t2iAdapterV2, - renderItemValue: renderControlAdapterValueV2, + layers: buildHandlers({ + getLabel: () => t('controlLayers.layers_one'), + parser: parsers.layers, + itemParser: parsers.layer, + recaller: recallers.layers, + itemRecaller: recallers.layer, + validator: validators.layers, + itemValidator: validators.layer, + renderItemValue: renderLayerValue, + renderValue: renderLayersValue, + getIsVisible: (value) => value.length > 0, }), } as const; @@ -435,9 +429,9 @@ export const parseAndRecallImageDimensions = async (metadata: unknown) => { }; // These handlers should be omitted when recalling to control layers -const TO_CONTROL_LAYERS_SKIP_KEYS: (keyof typeof handlers)[] = ['controlNets', 'ipAdapters', 't2iAdapters']; +const TO_CONTROL_LAYERS_SKIP_KEYS: (keyof typeof handlers)[] = ['controlNets', 'ipAdapters', 't2iAdapters', 'strength']; // These handlers should be omitted when recalling to the rest of the app -const NOT_TO_CONTROL_LAYERS_SKIP_KEYS: (keyof typeof handlers)[] = ['controlNetsV2', 'ipAdaptersV2', 't2iAdaptersV2']; +const NOT_TO_CONTROL_LAYERS_SKIP_KEYS: (keyof typeof handlers)[] = ['layers']; export const parseAndRecallAllMetadata = async ( metadata: unknown, diff --git a/invokeai/frontend/web/src/features/metadata/util/modelFetchingHelpers.ts b/invokeai/frontend/web/src/features/metadata/util/modelFetchingHelpers.ts index a237582ed8..a2db414937 100644 --- a/invokeai/frontend/web/src/features/metadata/util/modelFetchingHelpers.ts +++ b/invokeai/frontend/web/src/features/metadata/util/modelFetchingHelpers.ts @@ -1,4 +1,5 @@ import { getStore } from 'app/store/nanostores/store'; +import type { ModelIdentifierField } from 'features/nodes/types/common'; import { isModelIdentifier, isModelIdentifierV2 } from 'features/nodes/types/common'; import { modelsApi } from 'services/api/endpoints/models'; import type { AnyModelConfig, BaseModelType, ModelType } from 'services/api/types'; @@ -68,6 +69,24 @@ const fetchModelConfigByAttrs = async (name: string, base: BaseModelType, type: } }; +/** + * Fetches the model config given an identifier. First attempts to fetch by key, then falls back to fetching by attrs. + * @param identifier The model identifier. + * @returns A promise that resolves to the model config. + * @throws {ModelConfigNotFoundError} If the model config is unable to be fetched. + */ +export const fetchModelConfigByIdentifier = async (identifier: ModelIdentifierField): Promise => { + try { + return await fetchModelConfig(identifier.key); + } catch { + try { + return await fetchModelConfigByAttrs(identifier.name, identifier.base, identifier.type); + } catch { + throw new ModelConfigNotFoundError(`Unable to retrieve model config for identifier ${identifier}`); + } + } +}; + /** * Fetches the model config for a given model key and type, and ensures that the model config is of a specific type. * @param key The model key. diff --git a/invokeai/frontend/web/src/features/metadata/util/parsers.ts b/invokeai/frontend/web/src/features/metadata/util/parsers.ts index 8641977b1f..0757d2e8db 100644 --- a/invokeai/frontend/web/src/features/metadata/util/parsers.ts +++ b/invokeai/frontend/web/src/features/metadata/util/parsers.ts @@ -1,10 +1,12 @@ -import { getStore } from 'app/store/nanostores/store'; import { initialControlNet, initialIPAdapter, initialT2IAdapter, } from 'features/controlAdapters/util/buildControlAdapter'; import { buildControlAdapterProcessor } from 'features/controlAdapters/util/buildControlAdapterProcessor'; +import { getCALayerId, getIPALayerId, INITIAL_IMAGE_LAYER_ID } from 'features/controlLayers/store/controlLayersSlice'; +import type { ControlAdapterLayer, InitialImageLayer, IPAdapterLayer, Layer } from 'features/controlLayers/store/types'; +import { zLayer } from 'features/controlLayers/store/types'; import { CA_PROCESSOR_DATA, imageDTOToImageWithDims, @@ -17,12 +19,9 @@ import type { LoRA } from 'features/lora/store/loraSlice'; import { defaultLoRAConfig } from 'features/lora/store/loraSlice'; import type { ControlNetConfigMetadata, - ControlNetConfigV2Metadata, IPAdapterConfigMetadata, - IPAdapterConfigV2Metadata, MetadataParseFunc, T2IAdapterConfigMetadata, - T2IAdapterConfigV2Metadata, } from 'features/metadata/types'; import { fetchModelConfigWithTypeGuard, getModelKey } from 'features/metadata/util/modelFetchingHelpers'; import { zControlField, zIPAdapterField, zModelIdentifierField, zT2IAdapterField } from 'features/nodes/types/common'; @@ -69,8 +68,7 @@ import { isParameterWidth, } from 'features/parameters/types/parameterSchemas'; import { get, isArray, isString } from 'lodash-es'; -import { getImageDTO, imagesApi } from 'services/api/endpoints/images'; -import type { ImageDTO } from 'services/api/types'; +import { getImageDTO } from 'services/api/endpoints/images'; import { isControlNetModelConfig, isIPAdapterModelConfig, @@ -80,6 +78,7 @@ import { isT2IAdapterModelConfig, isVAEModelConfig, } from 'services/api/types'; +import { assert } from 'tsafe'; import { v4 as uuidv4 } from 'uuid'; export const MetadataParsePendingToken = Symbol('pending'); @@ -149,14 +148,6 @@ const parseCFGRescaleMultiplier: MetadataParseFunc = (metadata) => getProperty(metadata, 'scheduler', isParameterScheduler); -const parseInitialImage: MetadataParseFunc = async (metadata) => { - const imageName = await getProperty(metadata, 'init_image', isString); - const imageDTORequest = getStore().dispatch(imagesApi.endpoints.getImageDTO.initiate(imageName)); - const imageDTO = await imageDTORequest.unwrap(); - imageDTORequest.unsubscribe(); - return imageDTO; -}; - const parseWidth: MetadataParseFunc = (metadata) => getProperty(metadata, 'width', isParameterWidth); const parseHeight: MetadataParseFunc = (metadata) => @@ -309,7 +300,7 @@ const parseControlNet: MetadataParseFunc = async (meta const parseAllControlNets: MetadataParseFunc = async (metadata) => { try { - const controlNetsRaw = await getProperty(metadata, 'controlnets', isArray || undefined); + const controlNetsRaw = await getProperty(metadata, 'controlnets', isArray); const parseResults = await Promise.allSettled(controlNetsRaw.map((cn) => parseControlNet(cn))); const controlNets = parseResults .filter((result): result is PromiseFulfilledResult => result.status === 'fulfilled') @@ -439,8 +430,103 @@ const parseAllIPAdapters: MetadataParseFunc = async ( } }; -//#region V2/Control Layers -const parseControlNetV2: MetadataParseFunc = async (metadataItem) => { +//#region Control Layers +const parseLayer: MetadataParseFunc = async (metadataItem) => zLayer.parseAsync(metadataItem); + +const parseLayers: MetadataParseFunc = async (metadata) => { + // We need to support recalling pre-Control Layers metadata into Control Layers. A separate set of parsers handles + // taking pre-CL metadata and parsing it into layers. It doesn't always map 1-to-1, so this is best-effort. For + // example, CL Control Adapters don't support resize mode, so we simply omit that property. + + try { + const layers: Layer[] = []; + + try { + const control_layers = await getProperty(metadata, 'control_layers'); + const controlLayersRaw = await getProperty(control_layers, 'layers', isArray); + const controlLayersParseResults = await Promise.allSettled(controlLayersRaw.map(parseLayer)); + const controlLayers = controlLayersParseResults + .filter((result): result is PromiseFulfilledResult => result.status === 'fulfilled') + .map((result) => result.value); + layers.push(...controlLayers); + } catch { + // no-op + } + + try { + const controlNetsRaw = await getProperty(metadata, 'controlnets', isArray); + const controlNetsParseResults = await Promise.allSettled( + controlNetsRaw.map(async (cn) => await parseControlNetToControlAdapterLayer(cn)) + ); + const controlNetsAsLayers = controlNetsParseResults + .filter((result): result is PromiseFulfilledResult => result.status === 'fulfilled') + .map((result) => result.value); + layers.push(...controlNetsAsLayers); + } catch { + // no-op + } + + try { + const t2iAdaptersRaw = await getProperty(metadata, 't2iAdapters', isArray); + const t2iAdaptersParseResults = await Promise.allSettled( + t2iAdaptersRaw.map(async (cn) => await parseT2IAdapterToControlAdapterLayer(cn)) + ); + const t2iAdaptersAsLayers = t2iAdaptersParseResults + .filter((result): result is PromiseFulfilledResult => result.status === 'fulfilled') + .map((result) => result.value); + layers.push(...t2iAdaptersAsLayers); + } catch { + // no-op + } + + try { + const ipAdaptersRaw = await getProperty(metadata, 'ipAdapters', isArray); + const ipAdaptersParseResults = await Promise.allSettled( + ipAdaptersRaw.map(async (cn) => await parseIPAdapterToIPAdapterLayer(cn)) + ); + const ipAdaptersAsLayers = ipAdaptersParseResults + .filter((result): result is PromiseFulfilledResult => result.status === 'fulfilled') + .map((result) => result.value); + layers.push(...ipAdaptersAsLayers); + } catch { + // no-op + } + + try { + const initialImageLayer = await parseInitialImageToInitialImageLayer(metadata); + layers.push(initialImageLayer); + } catch { + // no-op + } + + return layers; + } catch { + return []; + } +}; + +const parseInitialImageToInitialImageLayer: MetadataParseFunc = async (metadata) => { + const denoisingStrength = await getProperty(metadata, 'strength', isParameterStrength); + const imageName = await getProperty(metadata, 'init_image', isString); + const imageDTO = await getImageDTO(imageName); + assert(imageDTO, 'ImageDTO is null'); + const layer: InitialImageLayer = { + id: INITIAL_IMAGE_LAYER_ID, + type: 'initial_image_layer', + bbox: null, + bboxNeedsUpdate: true, + x: 0, + y: 0, + isEnabled: true, + opacity: 1, + image: imageDTOToImageWithDims(imageDTO), + isSelected: true, + denoisingStrength, + }; + return layer; +}; + +const parseControlNetToControlAdapterLayer: MetadataParseFunc = async (metadataItem) => { const control_model = await getProperty(metadataItem, 'control_model'); const key = await getModelKey(control_model, 'controlnet'); const controlNetModel = await fetchModelConfigWithTypeGuard(key, isControlNetModelConfig); @@ -469,7 +555,6 @@ const parseControlNetV2: MetadataParseFunc = async ( .catch(null) .parse(await getProperty(metadataItem, 'control_mode')); - const id = uuidv4(); const defaultPreprocessor = controlNetModel.default_settings?.preprocessor; const processorConfig = isProcessorTypeV2(defaultPreprocessor) ? CA_PROCESSOR_DATA[defaultPreprocessor].buildDefaults() @@ -481,36 +566,35 @@ const parseControlNetV2: MetadataParseFunc = async ( const imageDTO = image ? await getImageDTO(image.image_name) : null; const processedImageDTO = processedImage ? await getImageDTO(processedImage.image_name) : null; - const controlNet: ControlNetConfigV2Metadata = { - id, - type: 'controlnet', - model: zModelIdentifierField.parse(controlNetModel), - weight: typeof control_weight === 'number' ? control_weight : initialControlNetV2.weight, - beginEndStepPct, - controlMode: control_mode ?? initialControlNetV2.controlMode, - image: imageDTO ? imageDTOToImageWithDims(imageDTO) : null, - processedImage: processedImageDTO ? imageDTOToImageWithDims(processedImageDTO) : null, - processorConfig, - isProcessingImage: false, + const layer: ControlAdapterLayer = { + id: getCALayerId(uuidv4()), + bbox: null, + bboxNeedsUpdate: true, + isEnabled: true, + isFilterEnabled: true, + isSelected: true, + opacity: 1, + type: 'control_adapter_layer', + x: 0, + y: 0, + controlAdapter: { + id: uuidv4(), + type: 'controlnet', + model: zModelIdentifierField.parse(controlNetModel), + weight: typeof control_weight === 'number' ? control_weight : initialControlNetV2.weight, + beginEndStepPct, + controlMode: control_mode ?? initialControlNetV2.controlMode, + image: imageDTO ? imageDTOToImageWithDims(imageDTO) : null, + processedImage: processedImageDTO ? imageDTOToImageWithDims(processedImageDTO) : null, + processorConfig, + processorPendingBatchId: null, + }, }; - return controlNet; + return layer; }; -const parseAllControlNetsV2: MetadataParseFunc = async (metadata) => { - try { - const controlNetsRaw = await getProperty(metadata, 'controlnets', isArray || undefined); - const parseResults = await Promise.allSettled(controlNetsRaw.map((cn) => parseControlNetV2(cn))); - const controlNets = parseResults - .filter((result): result is PromiseFulfilledResult => result.status === 'fulfilled') - .map((result) => result.value); - return controlNets; - } catch { - return []; - } -}; - -const parseT2IAdapterV2: MetadataParseFunc = async (metadataItem) => { +const parseT2IAdapterToControlAdapterLayer: MetadataParseFunc = async (metadataItem) => { const t2i_adapter_model = await getProperty(metadataItem, 't2i_adapter_model'); const key = await getModelKey(t2i_adapter_model, 't2i_adapter'); const t2iAdapterModel = await fetchModelConfigWithTypeGuard(key, isT2IAdapterModelConfig); @@ -536,7 +620,6 @@ const parseT2IAdapterV2: MetadataParseFunc = async ( .catch(null) .parse(await getProperty(metadataItem, 'end_step_percent')); - const id = uuidv4(); const defaultPreprocessor = t2iAdapterModel.default_settings?.preprocessor; const processorConfig = isProcessorTypeV2(defaultPreprocessor) ? CA_PROCESSOR_DATA[defaultPreprocessor].buildDefaults() @@ -548,35 +631,34 @@ const parseT2IAdapterV2: MetadataParseFunc = async ( const imageDTO = image ? await getImageDTO(image.image_name) : null; const processedImageDTO = processedImage ? await getImageDTO(processedImage.image_name) : null; - const t2iAdapter: T2IAdapterConfigV2Metadata = { - id, - type: 't2i_adapter', - model: zModelIdentifierField.parse(t2iAdapterModel), - weight: typeof weight === 'number' ? weight : initialT2IAdapterV2.weight, - beginEndStepPct, - image: imageDTO ? imageDTOToImageWithDims(imageDTO) : null, - processedImage: processedImageDTO ? imageDTOToImageWithDims(processedImageDTO) : null, - processorConfig, - isProcessingImage: false, + const layer: ControlAdapterLayer = { + id: getCALayerId(uuidv4()), + bbox: null, + bboxNeedsUpdate: true, + isEnabled: true, + isFilterEnabled: true, + isSelected: true, + opacity: 1, + type: 'control_adapter_layer', + x: 0, + y: 0, + controlAdapter: { + id: uuidv4(), + type: 't2i_adapter', + model: zModelIdentifierField.parse(t2iAdapterModel), + weight: typeof weight === 'number' ? weight : initialT2IAdapterV2.weight, + beginEndStepPct, + image: imageDTO ? imageDTOToImageWithDims(imageDTO) : null, + processedImage: processedImageDTO ? imageDTOToImageWithDims(processedImageDTO) : null, + processorConfig, + processorPendingBatchId: null, + }, }; - return t2iAdapter; + return layer; }; -const parseAllT2IAdaptersV2: MetadataParseFunc = async (metadata) => { - try { - const t2iAdaptersRaw = await getProperty(metadata, 't2iAdapters', isArray); - const parseResults = await Promise.allSettled(t2iAdaptersRaw.map((t2iAdapter) => parseT2IAdapterV2(t2iAdapter))); - const t2iAdapters = parseResults - .filter((result): result is PromiseFulfilledResult => result.status === 'fulfilled') - .map((result) => result.value); - return t2iAdapters; - } catch { - return []; - } -}; - -const parseIPAdapterV2: MetadataParseFunc = async (metadataItem) => { +const parseIPAdapterToIPAdapterLayer: MetadataParseFunc = async (metadataItem) => { const ip_adapter_model = await getProperty(metadataItem, 'ip_adapter_model'); const key = await getModelKey(ip_adapter_model, 'ip_adapter'); const ipAdapterModel = await fetchModelConfigWithTypeGuard(key, isIPAdapterModelConfig); @@ -602,39 +684,32 @@ const parseIPAdapterV2: MetadataParseFunc = async (me .catch(null) .parse(await getProperty(metadataItem, 'end_step_percent')); - const id = uuidv4(); const beginEndStepPct: [number, number] = [ begin_step_percent ?? initialIPAdapterV2.beginEndStepPct[0], end_step_percent ?? initialIPAdapterV2.beginEndStepPct[1], ]; const imageDTO = image ? await getImageDTO(image.image_name) : null; - const ipAdapter: IPAdapterConfigV2Metadata = { - id, - type: 'ip_adapter', - model: zModelIdentifierField.parse(ipAdapterModel), - weight: typeof weight === 'number' ? weight : initialIPAdapterV2.weight, - beginEndStepPct, - image: imageDTO ? imageDTOToImageWithDims(imageDTO) : null, - clipVisionModel: initialIPAdapterV2.clipVisionModel, // TODO: This needs to be added to the zIPAdapterField... - method: method ?? initialIPAdapterV2.method, + const layer: IPAdapterLayer = { + id: getIPALayerId(uuidv4()), + type: 'ip_adapter_layer', + isEnabled: true, + isSelected: true, + ipAdapter: { + id: uuidv4(), + type: 'ip_adapter', + model: zModelIdentifierField.parse(ipAdapterModel), + weight: typeof weight === 'number' ? weight : initialIPAdapterV2.weight, + beginEndStepPct, + image: imageDTO ? imageDTOToImageWithDims(imageDTO) : null, + clipVisionModel: initialIPAdapterV2.clipVisionModel, // TODO: This needs to be added to the zIPAdapterField... + method: method ?? initialIPAdapterV2.method, + }, }; - return ipAdapter; -}; - -const parseAllIPAdaptersV2: MetadataParseFunc = async (metadata) => { - try { - const ipAdaptersRaw = await getProperty(metadata, 'ipAdapters', isArray); - const parseResults = await Promise.allSettled(ipAdaptersRaw.map((ipAdapter) => parseIPAdapterV2(ipAdapter))); - const ipAdapters = parseResults - .filter((result): result is PromiseFulfilledResult => result.status === 'fulfilled') - .map((result) => result.value); - return ipAdapters; - } catch { - return []; - } + return layer; }; +//#endregion export const parsers = { createdBy: parseCreatedBy, @@ -647,7 +722,6 @@ export const parsers = { cfgScale: parseCFGScale, cfgRescaleMultiplier: parseCFGRescaleMultiplier, scheduler: parseScheduler, - initialImage: parseInitialImage, width: parseWidth, height: parseHeight, steps: parseSteps, @@ -672,10 +746,9 @@ export const parsers = { t2iAdapters: parseAllT2IAdapters, ipAdapter: parseIPAdapter, ipAdapters: parseAllIPAdapters, - controlNetV2: parseControlNetV2, - controlNetsV2: parseAllControlNetsV2, - t2iAdapterV2: parseT2IAdapterV2, - t2iAdaptersV2: parseAllT2IAdaptersV2, - ipAdapterV2: parseIPAdapterV2, - ipAdaptersV2: parseAllIPAdaptersV2, + controlNetToControlLayer: parseControlNetToControlAdapterLayer, + t2iAdapterToControlAdapterLayer: parseT2IAdapterToControlAdapterLayer, + ipAdapterToIPAdapterLayer: parseIPAdapterToIPAdapterLayer, + layer: parseLayer, + layers: parseLayers, } as const; diff --git a/invokeai/frontend/web/src/features/metadata/util/recallers.ts b/invokeai/frontend/web/src/features/metadata/util/recallers.ts index b29d937159..5a17fd4b5d 100644 --- a/invokeai/frontend/web/src/features/metadata/util/recallers.ts +++ b/invokeai/frontend/web/src/features/metadata/util/recallers.ts @@ -1,4 +1,5 @@ import { getStore } from 'app/store/nanostores/store'; +import { deepClone } from 'common/util/deepClone'; import { controlAdapterRecalled, controlNetsReset, @@ -6,31 +7,32 @@ import { t2iAdaptersReset, } from 'features/controlAdapters/store/controlAdaptersSlice'; import { - caLayerAdded, - caLayerControlNetsDeleted, - caLayerT2IAdaptersDeleted, + allLayersDeleted, + caLayerRecalled, + getCALayerId, + getIPALayerId, + getRGLayerId, heightChanged, - iiLayerAdded, - ipaLayerAdded, - ipaLayersDeleted, + iiLayerRecalled, + ipaLayerRecalled, negativePrompt2Changed, negativePromptChanged, positivePrompt2Changed, positivePromptChanged, + rgLayerRecalled, widthChanged, } from 'features/controlLayers/store/controlLayersSlice'; +import type { Layer } from 'features/controlLayers/store/types'; import { setHrfEnabled, setHrfMethod, setHrfStrength } from 'features/hrf/store/hrfSlice'; import type { LoRA } from 'features/lora/store/loraSlice'; import { loraRecalled, lorasReset } from 'features/lora/store/loraSlice'; import type { ControlNetConfigMetadata, - ControlNetConfigV2Metadata, IPAdapterConfigMetadata, - IPAdapterConfigV2Metadata, MetadataRecallFunc, T2IAdapterConfigMetadata, - T2IAdapterConfigV2Metadata, } from 'features/metadata/types'; +import { fetchModelConfigByIdentifier } from 'features/metadata/util/modelFetchingHelpers'; import { modelSelected } from 'features/parameters/store/actions'; import { setCfgRescaleMultiplier, @@ -72,7 +74,8 @@ import { setRefinerStart, setRefinerSteps, } from 'features/sdxl/store/sdxlSlice'; -import type { ImageDTO } from 'services/api/types'; +import { getImageDTO } from 'services/api/endpoints/images'; +import { v4 as uuidv4 } from 'uuid'; const recallPositivePrompt: MetadataRecallFunc = (positivePrompt) => { getStore().dispatch(positivePromptChanged(positivePrompt)); @@ -106,10 +109,6 @@ const recallScheduler: MetadataRecallFunc = (scheduler) => { getStore().dispatch(setScheduler(scheduler)); }; -const recallInitialImage: MetadataRecallFunc = async (imageDTO) => { - getStore().dispatch(iiLayerAdded(imageDTO)); -}; - const setSizeOptions = { updateAspectRatio: true, clamp: true }; const recallWidth: MetadataRecallFunc = (width) => { @@ -244,50 +243,96 @@ const recallIPAdapters: MetadataRecallFunc = (ipAdapt }); }; -//#region V2/Control Layer -const recallControlNetV2: MetadataRecallFunc = (controlNet) => { - getStore().dispatch(caLayerAdded(controlNet)); -}; - -const recallControlNetsV2: MetadataRecallFunc = (controlNets) => { +//#region Control Layers +const recallLayer: MetadataRecallFunc = async (layer) => { const { dispatch } = getStore(); - dispatch(caLayerControlNetsDeleted()); - if (!controlNets.length) { + // We need to check for the existence of all images and models when recalling. If they do not exist, SMITE THEM! + // Also, we need fresh IDs for all objects when recalling, to prevent multiple layers with the same ID. + if (layer.type === 'control_adapter_layer') { + const clone = deepClone(layer); + if (clone.controlAdapter.image) { + const imageDTO = await getImageDTO(clone.controlAdapter.image.name); + if (!imageDTO) { + clone.controlAdapter.image = null; + } + } + if (clone.controlAdapter.processedImage) { + const imageDTO = await getImageDTO(clone.controlAdapter.processedImage.name); + if (!imageDTO) { + clone.controlAdapter.processedImage = null; + } + } + if (clone.controlAdapter.model) { + try { + await fetchModelConfigByIdentifier(clone.controlAdapter.model); + } catch { + clone.controlAdapter.model = null; + } + } + clone.id = getCALayerId(uuidv4()); + clone.controlAdapter.id = uuidv4(); + dispatch(caLayerRecalled(clone)); return; } - controlNets.forEach((controlNet) => { - dispatch(caLayerAdded(controlNet)); - }); -}; - -const recallT2IAdapterV2: MetadataRecallFunc = (t2iAdapter) => { - getStore().dispatch(caLayerAdded(t2iAdapter)); -}; - -const recallT2IAdaptersV2: MetadataRecallFunc = (t2iAdapters) => { - const { dispatch } = getStore(); - dispatch(caLayerT2IAdaptersDeleted()); - if (!t2iAdapters.length) { + if (layer.type === 'ip_adapter_layer') { + const clone = deepClone(layer); + if (clone.ipAdapter.image) { + const imageDTO = await getImageDTO(clone.ipAdapter.image.name); + if (!imageDTO) { + clone.ipAdapter.image = null; + } + } + if (clone.ipAdapter.model) { + try { + await fetchModelConfigByIdentifier(clone.ipAdapter.model); + } catch { + clone.ipAdapter.model = null; + } + } + clone.id = getIPALayerId(uuidv4()); + clone.ipAdapter.id = uuidv4(); + dispatch(ipaLayerRecalled(clone)); return; } - t2iAdapters.forEach((t2iAdapters) => { - dispatch(caLayerAdded(t2iAdapters)); - }); -}; -const recallIPAdapterV2: MetadataRecallFunc = (ipAdapter) => { - getStore().dispatch(ipaLayerAdded(ipAdapter)); -}; + if (layer.type === 'regional_guidance_layer') { + const clone = deepClone(layer); + // Strip out the uploaded mask image property - this is an intermediate image + clone.uploadedMaskImage = null; -const recallIPAdaptersV2: MetadataRecallFunc = (ipAdapters) => { - const { dispatch } = getStore(); - dispatch(ipaLayersDeleted()); - if (!ipAdapters.length) { + for (const ipAdapter of clone.ipAdapters) { + if (ipAdapter.image) { + const imageDTO = await getImageDTO(ipAdapter.image.name); + if (!imageDTO) { + ipAdapter.image = null; + } + } + if (ipAdapter.model) { + try { + await fetchModelConfigByIdentifier(ipAdapter.model); + } catch { + ipAdapter.model = null; + } + } + ipAdapter.id = uuidv4(); + } + clone.id = getRGLayerId(uuidv4()); + dispatch(rgLayerRecalled(clone)); return; } - ipAdapters.forEach((ipAdapter) => { - dispatch(ipaLayerAdded(ipAdapter)); - }); + + if (layer.type === 'initial_image_layer') { + dispatch(iiLayerRecalled(layer)); + return; + } +}; + +const recallLayers: MetadataRecallFunc = (layers) => { + const { dispatch } = getStore(); + dispatch(allLayersDeleted()); + for (const l of layers) { + recallLayer(l); + } }; export const recallers = { @@ -299,7 +344,6 @@ export const recallers = { cfgScale: recallCFGScale, cfgRescaleMultiplier: recallCFGRescaleMultiplier, scheduler: recallScheduler, - initialImage: recallInitialImage, width: recallWidth, height: recallHeight, steps: recallSteps, @@ -324,10 +368,6 @@ export const recallers = { t2iAdapter: recallT2IAdapter, ipAdapters: recallIPAdapters, ipAdapter: recallIPAdapter, - controlNetV2: recallControlNetV2, - controlNetsV2: recallControlNetsV2, - t2iAdapterV2: recallT2IAdapterV2, - t2iAdaptersV2: recallT2IAdaptersV2, - ipAdapterV2: recallIPAdapterV2, - ipAdaptersV2: recallIPAdaptersV2, + layer: recallLayer, + layers: recallLayers, } as const; diff --git a/invokeai/frontend/web/src/features/metadata/util/validators.ts b/invokeai/frontend/web/src/features/metadata/util/validators.ts index d09321003f..759e8ba561 100644 --- a/invokeai/frontend/web/src/features/metadata/util/validators.ts +++ b/invokeai/frontend/web/src/features/metadata/util/validators.ts @@ -1,17 +1,16 @@ import { getStore } from 'app/store/nanostores/store'; +import type { Layer } from 'features/controlLayers/store/types'; import type { LoRA } from 'features/lora/store/loraSlice'; import type { ControlNetConfigMetadata, - ControlNetConfigV2Metadata, IPAdapterConfigMetadata, - IPAdapterConfigV2Metadata, MetadataValidateFunc, T2IAdapterConfigMetadata, - T2IAdapterConfigV2Metadata, } from 'features/metadata/types'; import { InvalidModelConfigError } from 'features/metadata/util/modelFetchingHelpers'; import type { ParameterSDXLRefinerModel, ParameterVAEModel } from 'features/parameters/types/parameterSchemas'; import type { BaseModelType } from 'services/api/types'; +import { assert } from 'tsafe'; /** * Checks the given base model type against the currently-selected model's base type and throws an error if they are @@ -111,58 +110,39 @@ const validateIPAdapters: MetadataValidateFunc = (ipA return new Promise((resolve) => resolve(validatedIPAdapters)); }; -const validateControlNetV2: MetadataValidateFunc = (controlNet) => { - validateBaseCompatibility(controlNet.model?.base, 'ControlNet incompatible with currently-selected model'); - return new Promise((resolve) => resolve(controlNet)); -}; - -const validateControlNetsV2: MetadataValidateFunc = (controlNets) => { - const validatedControlNets: ControlNetConfigV2Metadata[] = []; - controlNets.forEach((controlNet) => { - try { - validateBaseCompatibility(controlNet.model?.base, 'ControlNet incompatible with currently-selected model'); - validatedControlNets.push(controlNet); - } catch { - // This is a no-op - we want to continue validating the rest of the ControlNets, and an empty list is valid. +const validateLayer: MetadataValidateFunc = async (layer) => { + if (layer.type === 'control_adapter_layer') { + const model = layer.controlAdapter.model; + assert(model, 'Control Adapter layer missing model'); + validateBaseCompatibility(model.base, 'Layer incompatible with currently-selected model'); + } + if (layer.type === 'ip_adapter_layer') { + const model = layer.ipAdapter.model; + assert(model, 'IP Adapter layer missing model'); + validateBaseCompatibility(model.base, 'Layer incompatible with currently-selected model'); + } + if (layer.type === 'regional_guidance_layer') { + for (const ipa of layer.ipAdapters) { + const model = ipa.model; + assert(model, 'IP Adapter layer missing model'); + validateBaseCompatibility(model.base, 'Layer incompatible with currently-selected model'); } - }); - return new Promise((resolve) => resolve(validatedControlNets)); + } + + return layer; }; -const validateT2IAdapterV2: MetadataValidateFunc = (t2iAdapter) => { - validateBaseCompatibility(t2iAdapter.model?.base, 'T2I Adapter incompatible with currently-selected model'); - return new Promise((resolve) => resolve(t2iAdapter)); -}; - -const validateT2IAdaptersV2: MetadataValidateFunc = (t2iAdapters) => { - const validatedT2IAdapters: T2IAdapterConfigV2Metadata[] = []; - t2iAdapters.forEach((t2iAdapter) => { +const validateLayers: MetadataValidateFunc = async (layers) => { + const validatedLayers: Layer[] = []; + for (const l of layers) { try { - validateBaseCompatibility(t2iAdapter.model?.base, 'T2I Adapter incompatible with currently-selected model'); - validatedT2IAdapters.push(t2iAdapter); + const validated = await validateLayer(l); + validatedLayers.push(validated); } catch { - // This is a no-op - we want to continue validating the rest of the T2I Adapters, and an empty list is valid. + // This is a no-op - we want to continue validating the rest of the layers, and an empty list is valid. } - }); - return new Promise((resolve) => resolve(validatedT2IAdapters)); -}; - -const validateIPAdapterV2: MetadataValidateFunc = (ipAdapter) => { - validateBaseCompatibility(ipAdapter.model?.base, 'IP Adapter incompatible with currently-selected model'); - return new Promise((resolve) => resolve(ipAdapter)); -}; - -const validateIPAdaptersV2: MetadataValidateFunc = (ipAdapters) => { - const validatedIPAdapters: IPAdapterConfigV2Metadata[] = []; - ipAdapters.forEach((ipAdapter) => { - try { - validateBaseCompatibility(ipAdapter.model?.base, 'IP Adapter incompatible with currently-selected model'); - validatedIPAdapters.push(ipAdapter); - } catch { - // This is a no-op - we want to continue validating the rest of the IP Adapters, and an empty list is valid. - } - }); - return new Promise((resolve) => resolve(validatedIPAdapters)); + } + return new Promise((resolve) => resolve(validatedLayers)); }; export const validators = { @@ -176,10 +156,6 @@ export const validators = { t2iAdapters: validateT2IAdapters, ipAdapter: validateIPAdapter, ipAdapters: validateIPAdapters, - controlNetV2: validateControlNetV2, - controlNetsV2: validateControlNetsV2, - t2iAdapterV2: validateT2IAdapterV2, - t2iAdaptersV2: validateT2IAdaptersV2, - ipAdapterV2: validateIPAdapterV2, - ipAdaptersV2: validateIPAdaptersV2, + layer: validateLayer, + layers: validateLayers, } as const; diff --git a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopPanel/TopPanel.tsx b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopPanel/TopPanel.tsx index 2a08fb840e..93856a21c4 100644 --- a/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopPanel/TopPanel.tsx +++ b/invokeai/frontend/web/src/features/nodes/components/flow/panels/TopPanel/TopPanel.tsx @@ -1,6 +1,5 @@ import { Flex, Spacer } from '@invoke-ai/ui-library'; import { useAppSelector } from 'app/store/storeHooks'; -import { ViewerButton } from 'features/gallery/components/ImageViewer/ViewerButton'; import AddNodeButton from 'features/nodes/components/flow/panels/TopPanel/AddNodeButton'; import ClearFlowButton from 'features/nodes/components/flow/panels/TopPanel/ClearFlowButton'; import SaveWorkflowButton from 'features/nodes/components/flow/panels/TopPanel/SaveWorkflowButton'; @@ -23,7 +22,6 @@ const TopCenterPanel = () => { - ); }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/addControlLayersToGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/addControlLayersToGraph.ts index da13fed9f5..a541d3948f 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/addControlLayersToGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/addControlLayersToGraph.ts @@ -2,25 +2,28 @@ import { getStore } from 'app/store/nanostores/store'; import type { RootState } from 'app/store/store'; import { isControlAdapterLayer, + isInitialImageLayer, isIPAdapterLayer, isRegionalGuidanceLayer, + rgLayerMaskImageUploaded, } from 'features/controlLayers/store/controlLayersSlice'; -import { - type ControlNetConfigV2, - type ImageWithDims, - type IPAdapterConfigV2, - isControlNetConfigV2, - isT2IAdapterConfigV2, - type ProcessorConfig, - type T2IAdapterConfigV2, +import type { InitialImageLayer, Layer, RegionalGuidanceLayer } from 'features/controlLayers/store/types'; +import type { + ControlNetConfigV2, + ImageWithDims, + IPAdapterConfigV2, + ProcessorConfig, + T2IAdapterConfigV2, } from 'features/controlLayers/util/controlAdapters'; import { getRegionalPromptLayerBlobs } from 'features/controlLayers/util/getLayerBlobs'; import type { ImageField } from 'features/nodes/types/common'; import { CONTROL_NET_COLLECT, + IMAGE_TO_LATENTS, IP_ADAPTER_COLLECT, NEGATIVE_CONDITIONING, NEGATIVE_CONDITIONING_COLLECT, + NOISE, POSITIVE_CONDITIONING, POSITIVE_CONDITIONING_COLLECT, PROMPT_REGION_INVERT_TENSOR_MASK_PREFIX, @@ -28,16 +31,20 @@ import { PROMPT_REGION_NEGATIVE_COND_PREFIX, PROMPT_REGION_POSITIVE_COND_INVERTED_PREFIX, PROMPT_REGION_POSITIVE_COND_PREFIX, + RESIZE, T2I_ADAPTER_COLLECT, } from 'features/nodes/util/graph/constants'; import { upsertMetadata } from 'features/nodes/util/graph/metadata'; import { size } from 'lodash-es'; -import { imagesApi } from 'services/api/endpoints/images'; +import { getImageDTO, imagesApi } from 'services/api/endpoints/images'; import type { + BaseModelType, CollectInvocation, ControlNetInvocation, - CoreMetadataInvocation, Edge, + ImageDTO, + ImageResizeInvocation, + ImageToLatentsInvocation, IPAdapterInvocation, NonNullableGraph, S, @@ -45,369 +52,33 @@ import type { } from 'services/api/types'; import { assert } from 'tsafe'; -const buildControlImage = ( - image: ImageWithDims | null, - processedImage: ImageWithDims | null, - processorConfig: ProcessorConfig | null -): ImageField => { - if (processedImage && processorConfig) { - // We've processed the image in the app - use it for the control image. - return { - image_name: processedImage.imageName, - }; - } else if (image) { - // No processor selected, and we have an image - the user provided a processed image, use it for the control image. - return { - image_name: image.imageName, - }; - } - assert(false, 'Attempted to add unprocessed control image'); -}; - -const buildControlNetMetadata = (controlNet: ControlNetConfigV2): S['ControlNetMetadataField'] => { - const { beginEndStepPct, controlMode, image, model, processedImage, processorConfig, weight } = controlNet; - - assert(model, 'ControlNet model is required'); - assert(image, 'ControlNet image is required'); - - const processed_image = - processedImage && processorConfig - ? { - image_name: processedImage.imageName, - } - : null; - - return { - control_model: model, - control_weight: weight, - control_mode: controlMode, - begin_step_percent: beginEndStepPct[0], - end_step_percent: beginEndStepPct[1], - resize_mode: 'just_resize', - image: { - image_name: image.imageName, - }, - processed_image, - }; -}; - -const addControlNetCollectorSafe = (graph: NonNullableGraph, denoiseNodeId: string) => { - if (graph.nodes[CONTROL_NET_COLLECT]) { - // You see, we've already got one! - return; - } - // Add the ControlNet collector - const controlNetIterateNode: CollectInvocation = { - id: CONTROL_NET_COLLECT, - type: 'collect', - is_intermediate: true, - }; - graph.nodes[CONTROL_NET_COLLECT] = controlNetIterateNode; - graph.edges.push({ - source: { node_id: CONTROL_NET_COLLECT, field: 'collection' }, - destination: { - node_id: denoiseNodeId, - field: 'control', - }, - }); -}; - -const addGlobalControlNetsToGraph = async ( - controlNets: ControlNetConfigV2[], +export const addControlLayersToGraph = async ( + state: RootState, graph: NonNullableGraph, denoiseNodeId: string -) => { - if (controlNets.length === 0) { - return; - } - const controlNetMetadata: CoreMetadataInvocation['controlnets'] = []; - addControlNetCollectorSafe(graph, denoiseNodeId); - - for (const controlNet of controlNets) { - if (!controlNet.model) { - return; - } - const { id, beginEndStepPct, controlMode, image, model, processedImage, processorConfig, weight } = controlNet; - - const controlNetNode: ControlNetInvocation = { - id: `control_net_${id}`, - type: 'controlnet', - is_intermediate: true, - begin_step_percent: beginEndStepPct[0], - end_step_percent: beginEndStepPct[1], - control_mode: controlMode, - resize_mode: 'just_resize', - control_model: model, - control_weight: weight, - image: buildControlImage(image, processedImage, processorConfig), - }; - - graph.nodes[controlNetNode.id] = controlNetNode; - - controlNetMetadata.push(buildControlNetMetadata(controlNet)); - - graph.edges.push({ - source: { node_id: controlNetNode.id, field: 'control' }, - destination: { - node_id: CONTROL_NET_COLLECT, - field: 'item', - }, - }); - } - upsertMetadata(graph, { controlnets: controlNetMetadata }); -}; - -const buildT2IAdapterMetadata = (t2iAdapter: T2IAdapterConfigV2): S['T2IAdapterMetadataField'] => { - const { beginEndStepPct, image, model, processedImage, processorConfig, weight } = t2iAdapter; - - assert(model, 'T2I Adapter model is required'); - assert(image, 'T2I Adapter image is required'); - - const processed_image = - processedImage && processorConfig - ? { - image_name: processedImage.imageName, - } - : null; - - return { - t2i_adapter_model: model, - weight, - begin_step_percent: beginEndStepPct[0], - end_step_percent: beginEndStepPct[1], - resize_mode: 'just_resize', - image: { - image_name: image.imageName, - }, - processed_image, - }; -}; - -const addT2IAdapterCollectorSafe = (graph: NonNullableGraph, denoiseNodeId: string) => { - if (graph.nodes[T2I_ADAPTER_COLLECT]) { - // You see, we've already got one! - return; - } - // Even though denoise_latents' t2i adapter input is collection or scalar, keep it simple and always use a collect - const t2iAdapterCollectNode: CollectInvocation = { - id: T2I_ADAPTER_COLLECT, - type: 'collect', - is_intermediate: true, - }; - graph.nodes[T2I_ADAPTER_COLLECT] = t2iAdapterCollectNode; - graph.edges.push({ - source: { node_id: T2I_ADAPTER_COLLECT, field: 'collection' }, - destination: { - node_id: denoiseNodeId, - field: 't2i_adapter', - }, - }); -}; - -const addGlobalT2IAdaptersToGraph = async ( - t2iAdapters: T2IAdapterConfigV2[], - graph: NonNullableGraph, - denoiseNodeId: string -) => { - if (t2iAdapters.length === 0) { - return; - } - const t2iAdapterMetadata: CoreMetadataInvocation['t2iAdapters'] = []; - addT2IAdapterCollectorSafe(graph, denoiseNodeId); - - for (const t2iAdapter of t2iAdapters) { - if (!t2iAdapter.model) { - return; - } - const { id, beginEndStepPct, image, model, processedImage, processorConfig, weight } = t2iAdapter; - - const t2iAdapterNode: T2IAdapterInvocation = { - id: `t2i_adapter_${id}`, - type: 't2i_adapter', - is_intermediate: true, - begin_step_percent: beginEndStepPct[0], - end_step_percent: beginEndStepPct[1], - resize_mode: 'just_resize', - t2i_adapter_model: model, - weight: weight, - image: buildControlImage(image, processedImage, processorConfig), - }; - - graph.nodes[t2iAdapterNode.id] = t2iAdapterNode; - - t2iAdapterMetadata.push(buildT2IAdapterMetadata(t2iAdapter)); - - graph.edges.push({ - source: { node_id: t2iAdapterNode.id, field: 't2i_adapter' }, - destination: { - node_id: T2I_ADAPTER_COLLECT, - field: 'item', - }, - }); - } - - upsertMetadata(graph, { t2iAdapters: t2iAdapterMetadata }); -}; - -const buildIPAdapterMetadata = (ipAdapter: IPAdapterConfigV2): S['IPAdapterMetadataField'] => { - const { weight, model, clipVisionModel, method, beginEndStepPct, image } = ipAdapter; - - assert(model, 'IP Adapter model is required'); - assert(image, 'IP Adapter image is required'); - - return { - ip_adapter_model: model, - clip_vision_model: clipVisionModel, - weight, - method, - begin_step_percent: beginEndStepPct[0], - end_step_percent: beginEndStepPct[1], - image: { - image_name: image.imageName, - }, - }; -}; - -const addIPAdapterCollectorSafe = (graph: NonNullableGraph, denoiseNodeId: string) => { - if (graph.nodes[IP_ADAPTER_COLLECT]) { - // You see, we've already got one! - return; - } - - const ipAdapterCollectNode: CollectInvocation = { - id: IP_ADAPTER_COLLECT, - type: 'collect', - is_intermediate: true, - }; - graph.nodes[IP_ADAPTER_COLLECT] = ipAdapterCollectNode; - graph.edges.push({ - source: { node_id: IP_ADAPTER_COLLECT, field: 'collection' }, - destination: { - node_id: denoiseNodeId, - field: 'ip_adapter', - }, - }); -}; - -const addGlobalIPAdaptersToGraph = async ( - ipAdapters: IPAdapterConfigV2[], - graph: NonNullableGraph, - denoiseNodeId: string -) => { - if (ipAdapters.length === 0) { - return; - } - const ipAdapterMetdata: CoreMetadataInvocation['ipAdapters'] = []; - addIPAdapterCollectorSafe(graph, denoiseNodeId); - - for (const ipAdapter of ipAdapters) { - const { id, weight, model, clipVisionModel, method, beginEndStepPct, image } = ipAdapter; - assert(image, 'IP Adapter image is required'); - assert(model, 'IP Adapter model is required'); - - const ipAdapterNode: IPAdapterInvocation = { - id: `ip_adapter_${id}`, - type: 'ip_adapter', - is_intermediate: true, - weight, - method, - ip_adapter_model: model, - clip_vision_model: clipVisionModel, - begin_step_percent: beginEndStepPct[0], - end_step_percent: beginEndStepPct[1], - image: { - image_name: image.imageName, - }, - }; - - graph.nodes[ipAdapterNode.id] = ipAdapterNode; - - ipAdapterMetdata.push(buildIPAdapterMetadata(ipAdapter)); - - graph.edges.push({ - source: { node_id: ipAdapterNode.id, field: 'ip_adapter' }, - destination: { - node_id: IP_ADAPTER_COLLECT, - field: 'item', - }, - }); - } - - upsertMetadata(graph, { ipAdapters: ipAdapterMetdata }); -}; - -export const addControlLayersToGraph = async (state: RootState, graph: NonNullableGraph, denoiseNodeId: string) => { - const { dispatch } = getStore(); +): Promise => { const mainModel = state.generation.model; assert(mainModel, 'Missing main model when building graph'); const isSDXL = mainModel.base === 'sdxl'; - // Add global control adapters - const globalControlNets = state.controlLayers.present.layers - // Must be a CA layer - .filter(isControlAdapterLayer) - // Must be enabled - .filter((l) => l.isEnabled) - // We want the CAs themselves - .map((l) => l.controlAdapter) - // Must be a ControlNet - .filter(isControlNetConfigV2) - .filter((ca) => { - const hasModel = Boolean(ca.model); - const modelMatchesBase = ca.model?.base === mainModel.base; - const hasControlImage = ca.image || (ca.processedImage && ca.processorConfig); - return hasModel && modelMatchesBase && hasControlImage; - }); - addGlobalControlNetsToGraph(globalControlNets, graph, denoiseNodeId); + // Filter out layers with incompatible base model, missing control image + const validLayers = state.controlLayers.present.layers.filter((l) => isValidLayer(l, mainModel.base)); - const globalT2IAdapters = state.controlLayers.present.layers - // Must be a CA layer - .filter(isControlAdapterLayer) - // Must be enabled - .filter((l) => l.isEnabled) - // We want the CAs themselves - .map((l) => l.controlAdapter) - // Must have a ControlNet CA - .filter(isT2IAdapterConfigV2) - .filter((ca) => { - const hasModel = Boolean(ca.model); - const modelMatchesBase = ca.model?.base === mainModel.base; - const hasControlImage = ca.image || (ca.processedImage && ca.processorConfig); - return hasModel && modelMatchesBase && hasControlImage; - }); - addGlobalT2IAdaptersToGraph(globalT2IAdapters, graph, denoiseNodeId); + const validControlAdapters = validLayers.filter(isControlAdapterLayer).map((l) => l.controlAdapter); + for (const ca of validControlAdapters) { + addGlobalControlAdapterToGraph(ca, graph, denoiseNodeId); + } - const globalIPAdapters = state.controlLayers.present.layers - // Must be an IP Adapter layer - .filter(isIPAdapterLayer) - // Must be enabled - .filter((l) => l.isEnabled) - // We want the IP Adapters themselves - .map((l) => l.ipAdapter) - .filter((ca) => { - const hasModel = Boolean(ca.model); - const modelMatchesBase = ca.model?.base === mainModel.base; - const hasControlImage = Boolean(ca.image); - return hasModel && modelMatchesBase && hasControlImage; - }); - addGlobalIPAdaptersToGraph(globalIPAdapters, graph, denoiseNodeId); - - const rgLayers = state.controlLayers.present.layers - // Only RG layers are get masks - .filter(isRegionalGuidanceLayer) - // Only visible layers are rendered on the canvas - .filter((l) => l.isEnabled) - // Only layers with prompts get added to the graph - .filter((l) => { - const hasTextPrompt = Boolean(l.positivePrompt || l.negativePrompt); - const hasIPAdapter = l.ipAdapters.length !== 0; - return hasTextPrompt || hasIPAdapter; - }); - - const layerIds = rgLayers.map((l) => l.id); - const blobs = await getRegionalPromptLayerBlobs(layerIds); - assert(size(blobs) === size(layerIds), 'Mismatch between layer IDs and blobs'); + const validIPAdapters = validLayers.filter(isIPAdapterLayer).map((l) => l.ipAdapter); + for (const ipAdapter of validIPAdapters) { + addGlobalIPAdapterToGraph(ipAdapter, graph, denoiseNodeId); + } + const initialImageLayers = validLayers.filter(isInitialImageLayer); + assert(initialImageLayers.length <= 1, 'Only one initial image layer allowed'); + if (initialImageLayers[0]) { + addInitialImageLayerToGraph(state, graph, denoiseNodeId, initialImageLayers[0]); + } // TODO: We should probably just use conditioning collectors by default, and skip all this fanagling with re-routing // the existing conditioning nodes. @@ -470,22 +141,16 @@ export const addControlLayersToGraph = async (state: RootState, graph: NonNullab }, }); - // Upload the blobs to the backend, add each to graph - // TODO: Store the uploaded image names in redux to reuse them, so long as the layer hasn't otherwise changed. This - // would be a great perf win - not only would we skip re-uploading the same image, but we'd be able to use the node - // cache (currently, when we re-use the same mask data, since it is a different image, the node cache is not used). - for (const layer of rgLayers) { + const validRGLayers = validLayers.filter(isRegionalGuidanceLayer); + const layerIds = validRGLayers.map((l) => l.id); + const blobs = await getRegionalPromptLayerBlobs(layerIds); + assert(size(blobs) === size(layerIds), 'Mismatch between layer IDs and blobs'); + + for (const layer of validRGLayers) { const blob = blobs[layer.id]; assert(blob, `Blob for layer ${layer.id} not found`); - - const file = new File([blob], `${layer.id}_mask.png`, { type: 'image/png' }); - const req = dispatch( - imagesApi.endpoints.uploadImage.initiate({ file, image_category: 'mask', is_intermediate: true }) - ); - req.reset(); - - // TODO: This will raise on network error - const { image_name } = await req.unwrap(); + // Upload the mask image, or get the cached image if it exists + const { image_name } = await getMaskImage(layer, blob); // The main mask-to-tensor node const maskToTensorNode: S['AlphaMaskToTensorInvocation'] = { @@ -632,15 +297,11 @@ export const addControlLayersToGraph = async (state: RootState, graph: NonNullab } } - // TODO(psyche): For some reason, I have to explicitly annotate regionalIPAdapters here. Not sure why. - const regionalIPAdapters: IPAdapterConfigV2[] = layer.ipAdapters.filter((ipAdapter) => { - const hasModel = Boolean(ipAdapter.model); - const modelMatchesBase = ipAdapter.model?.base === mainModel.base; - const hasControlImage = Boolean(ipAdapter.image); - return hasModel && modelMatchesBase && hasControlImage; - }); + const validRegionalIPAdapters: IPAdapterConfigV2[] = layer.ipAdapters.filter((ipa) => + isValidIPAdapter(ipa, mainModel.base) + ); - for (const ipAdapter of regionalIPAdapters) { + for (const ipAdapter of validRegionalIPAdapters) { addIPAdapterCollectorSafe(graph, denoiseNodeId); const { id, weight, model, clipVisionModel, method, beginEndStepPct, image } = ipAdapter; assert(model, 'IP Adapter model is required'); @@ -657,7 +318,7 @@ export const addControlLayersToGraph = async (state: RootState, graph: NonNullab begin_step_percent: beginEndStepPct[0], end_step_percent: beginEndStepPct[1], image: { - image_name: image.imageName, + image_name: image.name, }, }; @@ -678,4 +339,369 @@ export const addControlLayersToGraph = async (state: RootState, graph: NonNullab }); } } + + upsertMetadata(graph, { control_layers: { layers: validLayers, version: state.controlLayers.present._version } }); + return validLayers; +}; + +const getMaskImage = async (layer: RegionalGuidanceLayer, blob: Blob): Promise => { + if (layer.uploadedMaskImage) { + const imageDTO = await getImageDTO(layer.uploadedMaskImage.name); + if (imageDTO) { + return imageDTO; + } + } + const { dispatch } = getStore(); + // No cached mask, or the cached image no longer exists - we need to upload the mask image + const file = new File([blob], `${layer.id}_mask.png`, { type: 'image/png' }); + const req = dispatch( + imagesApi.endpoints.uploadImage.initiate({ file, image_category: 'mask', is_intermediate: true }) + ); + req.reset(); + + const imageDTO = await req.unwrap(); + dispatch(rgLayerMaskImageUploaded({ layerId: layer.id, imageDTO })); + return imageDTO; +}; + +const buildControlImage = ( + image: ImageWithDims | null, + processedImage: ImageWithDims | null, + processorConfig: ProcessorConfig | null +): ImageField => { + if (processedImage && processorConfig) { + // We've processed the image in the app - use it for the control image. + return { + image_name: processedImage.name, + }; + } else if (image) { + // No processor selected, and we have an image - the user provided a processed image, use it for the control image. + return { + image_name: image.name, + }; + } + assert(false, 'Attempted to add unprocessed control image'); +}; + +const addGlobalControlAdapterToGraph = ( + controlAdapter: ControlNetConfigV2 | T2IAdapterConfigV2, + graph: NonNullableGraph, + denoiseNodeId: string +) => { + if (controlAdapter.type === 'controlnet') { + addGlobalControlNetToGraph(controlAdapter, graph, denoiseNodeId); + } + if (controlAdapter.type === 't2i_adapter') { + addGlobalT2IAdapterToGraph(controlAdapter, graph, denoiseNodeId); + } +}; + +const addControlNetCollectorSafe = (graph: NonNullableGraph, denoiseNodeId: string) => { + if (graph.nodes[CONTROL_NET_COLLECT]) { + // You see, we've already got one! + return; + } + // Add the ControlNet collector + const controlNetIterateNode: CollectInvocation = { + id: CONTROL_NET_COLLECT, + type: 'collect', + is_intermediate: true, + }; + graph.nodes[CONTROL_NET_COLLECT] = controlNetIterateNode; + graph.edges.push({ + source: { node_id: CONTROL_NET_COLLECT, field: 'collection' }, + destination: { + node_id: denoiseNodeId, + field: 'control', + }, + }); +}; + +const addGlobalControlNetToGraph = (controlNet: ControlNetConfigV2, graph: NonNullableGraph, denoiseNodeId: string) => { + const { id, beginEndStepPct, controlMode, image, model, processedImage, processorConfig, weight } = controlNet; + assert(model, 'ControlNet model is required'); + const controlImage = buildControlImage(image, processedImage, processorConfig); + addControlNetCollectorSafe(graph, denoiseNodeId); + + const controlNetNode: ControlNetInvocation = { + id: `control_net_${id}`, + type: 'controlnet', + is_intermediate: true, + begin_step_percent: beginEndStepPct[0], + end_step_percent: beginEndStepPct[1], + control_mode: controlMode, + resize_mode: 'just_resize', + control_model: model, + control_weight: weight, + image: controlImage, + }; + + graph.nodes[controlNetNode.id] = controlNetNode; + + graph.edges.push({ + source: { node_id: controlNetNode.id, field: 'control' }, + destination: { + node_id: CONTROL_NET_COLLECT, + field: 'item', + }, + }); +}; + +const addT2IAdapterCollectorSafe = (graph: NonNullableGraph, denoiseNodeId: string) => { + if (graph.nodes[T2I_ADAPTER_COLLECT]) { + // You see, we've already got one! + return; + } + // Even though denoise_latents' t2i adapter input is collection or scalar, keep it simple and always use a collect + const t2iAdapterCollectNode: CollectInvocation = { + id: T2I_ADAPTER_COLLECT, + type: 'collect', + is_intermediate: true, + }; + graph.nodes[T2I_ADAPTER_COLLECT] = t2iAdapterCollectNode; + graph.edges.push({ + source: { node_id: T2I_ADAPTER_COLLECT, field: 'collection' }, + destination: { + node_id: denoiseNodeId, + field: 't2i_adapter', + }, + }); +}; + +const addGlobalT2IAdapterToGraph = (t2iAdapter: T2IAdapterConfigV2, graph: NonNullableGraph, denoiseNodeId: string) => { + const { id, beginEndStepPct, image, model, processedImage, processorConfig, weight } = t2iAdapter; + assert(model, 'T2I Adapter model is required'); + const controlImage = buildControlImage(image, processedImage, processorConfig); + addT2IAdapterCollectorSafe(graph, denoiseNodeId); + + const t2iAdapterNode: T2IAdapterInvocation = { + id: `t2i_adapter_${id}`, + type: 't2i_adapter', + is_intermediate: true, + begin_step_percent: beginEndStepPct[0], + end_step_percent: beginEndStepPct[1], + resize_mode: 'just_resize', + t2i_adapter_model: model, + weight: weight, + image: controlImage, + }; + + graph.nodes[t2iAdapterNode.id] = t2iAdapterNode; + + graph.edges.push({ + source: { node_id: t2iAdapterNode.id, field: 't2i_adapter' }, + destination: { + node_id: T2I_ADAPTER_COLLECT, + field: 'item', + }, + }); +}; + +const addIPAdapterCollectorSafe = (graph: NonNullableGraph, denoiseNodeId: string) => { + if (graph.nodes[IP_ADAPTER_COLLECT]) { + // You see, we've already got one! + return; + } + + const ipAdapterCollectNode: CollectInvocation = { + id: IP_ADAPTER_COLLECT, + type: 'collect', + is_intermediate: true, + }; + graph.nodes[IP_ADAPTER_COLLECT] = ipAdapterCollectNode; + graph.edges.push({ + source: { node_id: IP_ADAPTER_COLLECT, field: 'collection' }, + destination: { + node_id: denoiseNodeId, + field: 'ip_adapter', + }, + }); +}; + +const addGlobalIPAdapterToGraph = (ipAdapter: IPAdapterConfigV2, graph: NonNullableGraph, denoiseNodeId: string) => { + addIPAdapterCollectorSafe(graph, denoiseNodeId); + const { id, weight, model, clipVisionModel, method, beginEndStepPct, image } = ipAdapter; + assert(image, 'IP Adapter image is required'); + assert(model, 'IP Adapter model is required'); + + const ipAdapterNode: IPAdapterInvocation = { + id: `ip_adapter_${id}`, + type: 'ip_adapter', + is_intermediate: true, + weight, + method, + ip_adapter_model: model, + clip_vision_model: clipVisionModel, + begin_step_percent: beginEndStepPct[0], + end_step_percent: beginEndStepPct[1], + image: { + image_name: image.name, + }, + }; + + graph.nodes[ipAdapterNode.id] = ipAdapterNode; + + graph.edges.push({ + source: { node_id: ipAdapterNode.id, field: 'ip_adapter' }, + destination: { + node_id: IP_ADAPTER_COLLECT, + field: 'item', + }, + }); +}; + +const addInitialImageLayerToGraph = ( + state: RootState, + graph: NonNullableGraph, + denoiseNodeId: string, + layer: InitialImageLayer +) => { + const { vaePrecision, model } = state.generation; + const { refinerModel, refinerStart } = state.sdxl; + const { width, height } = state.controlLayers.present.size; + assert(layer.isEnabled, 'Initial image layer is not enabled'); + assert(layer.image, 'Initial image layer has no image'); + + const isSDXL = model?.base === 'sdxl'; + const useRefinerStartEnd = isSDXL && Boolean(refinerModel); + + const denoiseNode = graph.nodes[denoiseNodeId]; + assert(denoiseNode?.type === 'denoise_latents', `Missing denoise node or incorrect type: ${denoiseNode?.type}`); + + const { denoisingStrength } = layer; + denoiseNode.denoising_start = useRefinerStartEnd + ? Math.min(refinerStart, 1 - denoisingStrength) + : 1 - denoisingStrength; + denoiseNode.denoising_end = useRefinerStartEnd ? refinerStart : 1; + + const i2lNode: ImageToLatentsInvocation = { + type: 'i2l', + id: IMAGE_TO_LATENTS, + is_intermediate: true, + use_cache: true, + fp32: vaePrecision === 'fp32', + }; + + graph.nodes[i2lNode.id] = i2lNode; + graph.edges.push({ + source: { + node_id: IMAGE_TO_LATENTS, + field: 'latents', + }, + destination: { + node_id: denoiseNode.id, + field: 'latents', + }, + }); + + if (layer.image.width !== width || layer.image.height !== height) { + // The init image needs to be resized to the specified width and height before being passed to `IMAGE_TO_LATENTS` + + // Create a resize node, explicitly setting its image + const resizeNode: ImageResizeInvocation = { + id: RESIZE, + type: 'img_resize', + image: { + image_name: layer.image.name, + }, + is_intermediate: true, + width, + height, + }; + + graph.nodes[RESIZE] = resizeNode; + + // The `RESIZE` node then passes its image to `IMAGE_TO_LATENTS` + graph.edges.push({ + source: { node_id: RESIZE, field: 'image' }, + destination: { + node_id: IMAGE_TO_LATENTS, + field: 'image', + }, + }); + + // The `RESIZE` node also passes its width and height to `NOISE` + graph.edges.push({ + source: { node_id: RESIZE, field: 'width' }, + destination: { + node_id: NOISE, + field: 'width', + }, + }); + + graph.edges.push({ + source: { node_id: RESIZE, field: 'height' }, + destination: { + node_id: NOISE, + field: 'height', + }, + }); + } else { + // We are not resizing, so we need to set the image on the `IMAGE_TO_LATENTS` node explicitly + i2lNode.image = { + image_name: layer.image.name, + }; + + // Pass the image's dimensions to the `NOISE` node + graph.edges.push({ + source: { node_id: IMAGE_TO_LATENTS, field: 'width' }, + destination: { + node_id: NOISE, + field: 'width', + }, + }); + graph.edges.push({ + source: { node_id: IMAGE_TO_LATENTS, field: 'height' }, + destination: { + node_id: NOISE, + field: 'height', + }, + }); + } + + upsertMetadata(graph, { generation_mode: isSDXL ? 'sdxl_img2img' : 'img2img' }); +}; + +const isValidControlAdapter = (ca: ControlNetConfigV2 | T2IAdapterConfigV2, base: BaseModelType): boolean => { + // Must be have a model that matches the current base and must have a control image + const hasModel = Boolean(ca.model); + const modelMatchesBase = ca.model?.base === base; + const hasControlImage = Boolean(ca.image || (ca.processedImage && ca.processorConfig)); + return hasModel && modelMatchesBase && hasControlImage; +}; + +const isValidIPAdapter = (ipa: IPAdapterConfigV2, base: BaseModelType): boolean => { + // Must be have a model that matches the current base and must have a control image + const hasModel = Boolean(ipa.model); + const modelMatchesBase = ipa.model?.base === base; + const hasImage = Boolean(ipa.image); + return hasModel && modelMatchesBase && hasImage; +}; + +const isValidLayer = (layer: Layer, base: BaseModelType) => { + if (!layer.isEnabled) { + return false; + } + if (isControlAdapterLayer(layer)) { + return isValidControlAdapter(layer.controlAdapter, base); + } + if (isIPAdapterLayer(layer)) { + return isValidIPAdapter(layer.ipAdapter, base); + } + if (isInitialImageLayer(layer)) { + if (!layer.image) { + return false; + } + return true; + } + if (isRegionalGuidanceLayer(layer)) { + if (layer.maskObjects.length === 0) { + // Layer has no mask, meaning any guidance would be applied to an empty region. + return false; + } + const hasTextPrompt = Boolean(layer.positivePrompt) || Boolean(layer.negativePrompt); + const hasIPAdapter = layer.ipAdapters.filter((ipa) => isValidIPAdapter(ipa, base)).length > 0; + return hasTextPrompt || hasIPAdapter; + } + return false; }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/addInitialImageToLinearGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/addInitialImageToLinearGraph.ts deleted file mode 100644 index 603708f15b..0000000000 --- a/invokeai/frontend/web/src/features/nodes/util/graph/addInitialImageToLinearGraph.ts +++ /dev/null @@ -1,125 +0,0 @@ -import type { RootState } from 'app/store/store'; -import { isInitialImageLayer } from 'features/controlLayers/store/controlLayersSlice'; -import { upsertMetadata } from 'features/nodes/util/graph/metadata'; -import type { ImageResizeInvocation, ImageToLatentsInvocation, NonNullableGraph } from 'services/api/types'; -import { assert } from 'tsafe'; - -import { IMAGE_TO_LATENTS, NOISE, RESIZE } from './constants'; - -export const addInitialImageToLinearGraph = ( - state: RootState, - graph: NonNullableGraph, - denoiseNodeId: string -): void => { - // Remove Existing UNet Connections - const { img2imgStrength, vaePrecision, model } = state.generation; - const { refinerModel, refinerStart } = state.sdxl; - const { width, height } = state.controlLayers.present.size; - const initialImageLayer = state.controlLayers.present.layers.find(isInitialImageLayer); - const initialImage = initialImageLayer?.isEnabled ? initialImageLayer?.image : null; - - if (!initialImage) { - return; - } - - const isSDXL = model?.base === 'sdxl'; - const useRefinerStartEnd = isSDXL && Boolean(refinerModel); - - const denoiseNode = graph.nodes[denoiseNodeId]; - assert(denoiseNode?.type === 'denoise_latents', `Missing denoise node or incorrect type: ${denoiseNode?.type}`); - - denoiseNode.denoising_start = useRefinerStartEnd ? Math.min(refinerStart, 1 - img2imgStrength) : 1 - img2imgStrength; - denoiseNode.denoising_end = useRefinerStartEnd ? refinerStart : 1; - - // We conditionally hook the image in depending on if a resize is needed - const i2lNode: ImageToLatentsInvocation = { - type: 'i2l', - id: IMAGE_TO_LATENTS, - is_intermediate: true, - use_cache: true, - fp32: vaePrecision === 'fp32', - }; - - graph.nodes[i2lNode.id] = i2lNode; - graph.edges.push({ - source: { - node_id: IMAGE_TO_LATENTS, - field: 'latents', - }, - destination: { - node_id: denoiseNode.id, - field: 'latents', - }, - }); - - if (initialImage.width !== width || initialImage.height !== height) { - // The init image needs to be resized to the specified width and height before being passed to `IMAGE_TO_LATENTS` - - // Create a resize node, explicitly setting its image - const resizeNode: ImageResizeInvocation = { - id: RESIZE, - type: 'img_resize', - image: { - image_name: initialImage.imageName, - }, - is_intermediate: true, - width, - height, - }; - - graph.nodes[RESIZE] = resizeNode; - - // The `RESIZE` node then passes its image to `IMAGE_TO_LATENTS` - graph.edges.push({ - source: { node_id: RESIZE, field: 'image' }, - destination: { - node_id: IMAGE_TO_LATENTS, - field: 'image', - }, - }); - - // The `RESIZE` node also passes its width and height to `NOISE` - graph.edges.push({ - source: { node_id: RESIZE, field: 'width' }, - destination: { - node_id: NOISE, - field: 'width', - }, - }); - - graph.edges.push({ - source: { node_id: RESIZE, field: 'height' }, - destination: { - node_id: NOISE, - field: 'height', - }, - }); - } else { - // We are not resizing, so we need to set the image on the `IMAGE_TO_LATENTS` node explicitly - i2lNode.image = { - image_name: initialImage.imageName, - }; - - // Pass the image's dimensions to the `NOISE` node - graph.edges.push({ - source: { node_id: IMAGE_TO_LATENTS, field: 'width' }, - destination: { - node_id: NOISE, - field: 'width', - }, - }); - graph.edges.push({ - source: { node_id: IMAGE_TO_LATENTS, field: 'height' }, - destination: { - node_id: NOISE, - field: 'height', - }, - }); - } - - upsertMetadata(graph, { - generation_mode: isSDXL ? 'sdxl_img2img' : 'img2img', - strength: img2imgStrength, - init_image: initialImage.imageName, - }); -}; diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildAdHocUpscaleGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildAdHocUpscaleGraph.ts index 52c09b1db0..6c90dafd25 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildAdHocUpscaleGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildAdHocUpscaleGraph.ts @@ -1,5 +1,5 @@ import type { RootState } from 'app/store/store'; -import { getBoardField, getIsIntermediate } from 'features/nodes/util/graph/graphBuilderUtils'; +import { getBoardField } from 'features/nodes/util/graph/graphBuilderUtils'; import type { ESRGANInvocation, Graph, NonNullableGraph } from 'services/api/types'; import { ESRGAN } from './constants'; @@ -18,7 +18,7 @@ export const buildAdHocUpscaleGraph = ({ image_name, state }: Arg): Graph => { type: 'esrgan', image: { image_name }, model_name: esrganModelName, - is_intermediate: getIsIntermediate(state), + is_intermediate: false, board: getBoardField(state), }; diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildGenerationTabGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildGenerationTabGraph.ts index 6c04b25770..2a6946708f 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildGenerationTabGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildGenerationTabGraph.ts @@ -1,8 +1,8 @@ import { logger } from 'app/logging/logger'; import type { RootState } from 'app/store/store'; +import { isInitialImageLayer, isRegionalGuidanceLayer } from 'features/controlLayers/store/controlLayersSlice'; import { fetchModelConfigWithTypeGuard } from 'features/metadata/util/modelFetchingHelpers'; import { addControlLayersToGraph } from 'features/nodes/util/graph/addControlLayersToGraph'; -import { addInitialImageToLinearGraph } from 'features/nodes/util/graph/addInitialImageToLinearGraph'; import { getBoardField, getIsIntermediate } from 'features/nodes/util/graph/graphBuilderUtils'; import { isNonRefinerMainModelConfig, type NonNullableGraph } from 'services/api/types'; @@ -232,24 +232,23 @@ export const buildGenerationTabGraph = async (state: RootState): Promise isInitialImageLayer(l) || isRegionalGuidanceLayer(l)); // High resolution fix. - if (state.hrf.hrfEnabled) { + if (state.hrf.hrfEnabled && shouldUseHRF) { addHrfToGraph(state, graph); } diff --git a/invokeai/frontend/web/src/features/nodes/util/graph/buildGenerationTabSDXLGraph.ts b/invokeai/frontend/web/src/features/nodes/util/graph/buildGenerationTabSDXLGraph.ts index 900e993602..fbf6b3848c 100644 --- a/invokeai/frontend/web/src/features/nodes/util/graph/buildGenerationTabSDXLGraph.ts +++ b/invokeai/frontend/web/src/features/nodes/util/graph/buildGenerationTabSDXLGraph.ts @@ -2,7 +2,6 @@ import { logger } from 'app/logging/logger'; import type { RootState } from 'app/store/store'; import { fetchModelConfigWithTypeGuard } from 'features/metadata/util/modelFetchingHelpers'; import { addControlLayersToGraph } from 'features/nodes/util/graph/addControlLayersToGraph'; -import { addInitialImageToLinearGraph } from 'features/nodes/util/graph/addInitialImageToLinearGraph'; import { isNonRefinerMainModelConfig, type NonNullableGraph } from 'services/api/types'; import { addNSFWCheckerToGraph } from './addNSFWCheckerToGraph'; @@ -242,8 +241,6 @@ export const buildGenerationTabSDXLGraph = async (state: RootState): Promise { + const img2imgStrength = useAppSelector((s) => s.generation.img2imgStrength); + const dispatch = useAppDispatch(); + + const onChange = useCallback( + (v: number) => { + dispatch(setImg2imgStrength(v)); + }, + [dispatch] + ); + + return ; +}; + +export default memo(ParamImageToImageStrength); diff --git a/invokeai/frontend/web/src/features/parameters/components/Core/ParamNegativePrompt.tsx b/invokeai/frontend/web/src/features/parameters/components/Core/ParamNegativePrompt.tsx index 5702cf8bd7..4dfbbd1f7f 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Core/ParamNegativePrompt.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Core/ParamNegativePrompt.tsx @@ -33,12 +33,13 @@ export const ParamNegativePrompt = memo(() => { name="negativePrompt" ref={textareaRef} value={prompt} - placeholder={t('parameters.negativePromptPlaceholder')} + placeholder={t('parameters.globalNegativePromptPlaceholder')} onChange={onChange} onKeyDown={onKeyDown} fontSize="sm" variant="darkFilled" paddingRight={30} + spellCheck={false} /> diff --git a/invokeai/frontend/web/src/features/parameters/components/Core/ParamPositivePrompt.tsx b/invokeai/frontend/web/src/features/parameters/components/Core/ParamPositivePrompt.tsx index 0b2890875e..9e00bea079 100644 --- a/invokeai/frontend/web/src/features/parameters/components/Core/ParamPositivePrompt.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/Core/ParamPositivePrompt.tsx @@ -49,12 +49,13 @@ export const ParamPositivePrompt = memo(() => { name="prompt" ref={textareaRef} value={prompt} - placeholder={t('parameters.positivePromptPlaceholder')} + placeholder={t('parameters.globalPositivePromptPlaceholder')} onChange={onChange} minH={28} onKeyDown={onKeyDown} variant="darkFilled" paddingRight={30} + spellCheck={false} /> diff --git a/invokeai/frontend/web/src/features/parameters/components/ImageToImage/ImageToImageStrength.tsx b/invokeai/frontend/web/src/features/parameters/components/ImageToImage/ImageToImageStrength.tsx index e92831ecd9..c56fef1903 100644 --- a/invokeai/frontend/web/src/features/parameters/components/ImageToImage/ImageToImageStrength.tsx +++ b/invokeai/frontend/web/src/features/parameters/components/ImageToImage/ImageToImageStrength.tsx @@ -1,14 +1,17 @@ import { CompositeNumberInput, CompositeSlider, FormControl, FormLabel } from '@invoke-ai/ui-library'; -import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; +import { useAppSelector } from 'app/store/storeHooks'; import { InformationalPopover } from 'common/components/InformationalPopover/InformationalPopover'; -import { setImg2imgStrength } from 'features/parameters/store/generationSlice'; -import { memo, useCallback } from 'react'; +import { memo } from 'react'; import { useTranslation } from 'react-i18next'; const marks = [0, 0.5, 1]; -const ImageToImageStrength = () => { - const img2imgStrength = useAppSelector((s) => s.generation.img2imgStrength); +type Props = { + value: number; + onChange: (v: number) => void; +}; + +const ImageToImageStrength = ({ value, onChange }: Props) => { const initial = useAppSelector((s) => s.config.sd.img2imgStrength.initial); const sliderMin = useAppSelector((s) => s.config.sd.img2imgStrength.sliderMin); const sliderMax = useAppSelector((s) => s.config.sd.img2imgStrength.sliderMax); @@ -16,11 +19,8 @@ const ImageToImageStrength = () => { const numberInputMax = useAppSelector((s) => s.config.sd.img2imgStrength.numberInputMax); const coarseStep = useAppSelector((s) => s.config.sd.img2imgStrength.coarseStep); const fineStep = useAppSelector((s) => s.config.sd.img2imgStrength.fineStep); - const dispatch = useAppDispatch(); const { t } = useTranslation(); - const handleChange = useCallback((v: number) => dispatch(setImg2imgStrength(v)), [dispatch]); - return ( @@ -31,8 +31,8 @@ const ImageToImageStrength = () => { fineStep={fineStep} min={sliderMin} max={sliderMax} - onChange={handleChange} - value={img2imgStrength} + onChange={onChange} + value={value} defaultValue={initial} marks={marks} /> @@ -41,8 +41,8 @@ const ImageToImageStrength = () => { fineStep={fineStep} min={numberInputMin} max={numberInputMax} - onChange={handleChange} - value={img2imgStrength} + onChange={onChange} + value={value} defaultValue={initial} /> diff --git a/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts b/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts index 20d771d75d..d892906fcd 100644 --- a/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts +++ b/invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts @@ -38,6 +38,7 @@ export const usePreselectedImage = (selectedImage?: { const handleSendToImg2Img = useCallback(() => { if (selectedImageDto) { dispatch(iiLayerAdded(selectedImageDto)); + dispatch(setActiveTab('generation')); } }, [dispatch, selectedImageDto]); diff --git a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts index a18cc7f86d..8a808ed0c5 100644 --- a/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts +++ b/invokeai/frontend/web/src/features/parameters/types/parameterSchemas.ts @@ -16,14 +16,14 @@ import { z } from 'zod'; */ // #region Positive prompt -const zParameterPositivePrompt = z.string(); +export const zParameterPositivePrompt = z.string(); export type ParameterPositivePrompt = z.infer; export const isParameterPositivePrompt = (val: unknown): val is ParameterPositivePrompt => zParameterPositivePrompt.safeParse(val).success; // #endregion // #region Negative prompt -const zParameterNegativePrompt = z.string(); +export const zParameterNegativePrompt = z.string(); export type ParameterNegativePrompt = z.infer; export const isParameterNegativePrompt = (val: unknown): val is ParameterNegativePrompt => zParameterNegativePrompt.safeParse(val).success; @@ -127,7 +127,7 @@ export type ParameterT2IAdapterModel = z.infer // #endregion // #region Strength (l2l strength) -const zParameterStrength = z.number().min(0).max(1); +export const zParameterStrength = z.number().min(0).max(1); export type ParameterStrength = z.infer; export const isParameterStrength = (val: unknown): val is ParameterStrength => zParameterStrength.safeParse(val).success; @@ -198,6 +198,6 @@ export const isParameterLoRAWeight = (val: unknown): val is ParameterLoRAWeight // #endregion // #region Regional Prompts AutoNegative -const zAutoNegative = z.enum(['off', 'invert']); +export const zAutoNegative = z.enum(['off', 'invert']); export type ParameterAutoNegative = z.infer; // #endregion diff --git a/invokeai/frontend/web/src/features/queue/components/InvokeQueueBackButton.tsx b/invokeai/frontend/web/src/features/queue/components/InvokeQueueBackButton.tsx index 314616da59..52dc5e24af 100644 --- a/invokeai/frontend/web/src/features/queue/components/InvokeQueueBackButton.tsx +++ b/invokeai/frontend/web/src/features/queue/components/InvokeQueueBackButton.tsx @@ -16,25 +16,26 @@ export const InvokeQueueBackButton = memo(() => { return ( - + + + ); }); diff --git a/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx b/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx index f63e96c45f..498414d377 100644 --- a/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx +++ b/invokeai/frontend/web/src/features/queue/components/QueueButtonTooltip.tsx @@ -1,10 +1,11 @@ -import { Divider, Flex, ListItem, Text, UnorderedList } from '@invoke-ai/ui-library'; +import { Divider, Flex, ListItem, Text, Tooltip, UnorderedList } from '@invoke-ai/ui-library'; import { createSelector } from '@reduxjs/toolkit'; import { useAppSelector } from 'app/store/storeHooks'; import { useIsReadyToEnqueue } from 'common/hooks/useIsReadyToEnqueue'; import { selectControlLayersSlice } from 'features/controlLayers/store/controlLayersSlice'; import { selectDynamicPromptsSlice } from 'features/dynamicPrompts/store/dynamicPromptsSlice'; import { getShouldProcessPrompt } from 'features/dynamicPrompts/util/getShouldProcessPrompt'; +import type { PropsWithChildren } from 'react'; import { memo, useMemo } from 'react'; import { useTranslation } from 'react-i18next'; import { useEnqueueBatchMutation } from 'services/api/endpoints/queue'; @@ -21,17 +22,32 @@ type Props = { prepend?: boolean; }; -export const QueueButtonTooltip = memo(({ prepend = false }: Props) => { +export const QueueButtonTooltip = (props: PropsWithChildren) => { + return ( + } maxW={512}> + {props.children} + + ); +}; + +const TooltipContent = memo(({ prepend = false }: Props) => { const { t } = useTranslation(); const { isReady, reasons } = useIsReadyToEnqueue(); const isLoadingDynamicPrompts = useAppSelector((s) => s.dynamicPrompts.isLoading); const promptsCount = useAppSelector(selectPromptsCount); - const iterations = useAppSelector((s) => s.generation.iterations); + const iterationsCount = useAppSelector((s) => s.generation.iterations); const autoAddBoardId = useAppSelector((s) => s.gallery.autoAddBoardId); const autoAddBoardName = useBoardName(autoAddBoardId); const [_, { isLoading }] = useEnqueueBatchMutation({ fixedCacheKey: 'enqueueBatch', }); + const queueCountPredictionLabel = useMemo(() => { + const generationCount = Math.min(promptsCount * iterationsCount, 10000); + const prompts = t('queue.prompts', { count: promptsCount }); + const iterations = t('queue.iterations', { count: iterationsCount }); + const generations = t('queue.generations', { count: generationCount }); + return `${promptsCount} ${prompts} \u00d7 ${iterationsCount} ${iterations} -> ${generationCount} ${generations}`.toLowerCase(); + }, [iterationsCount, promptsCount, t]); const label = useMemo(() => { if (isLoading) { @@ -52,20 +68,21 @@ export const QueueButtonTooltip = memo(({ prepend = false }: Props) => { return ( {label} - - {t('queue.queueCountPrediction', { - promptsCount, - iterations, - count: Math.min(promptsCount * iterations, 10000), - })} - + {queueCountPredictionLabel} {reasons.length > 0 && ( <> {reasons.map((reason, i) => ( - - {reason} + + + {reason.prefix && ( + + {reason.prefix}:{' '} + + )} + {reason.content} + ))} @@ -82,4 +99,4 @@ export const QueueButtonTooltip = memo(({ prepend = false }: Props) => { ); }); -QueueButtonTooltip.displayName = 'QueueButtonTooltip'; +TooltipContent.displayName = 'QueueButtonTooltipContent'; diff --git a/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx b/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx index 07ad0f5b3c..eb0e72950f 100644 --- a/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx +++ b/invokeai/frontend/web/src/features/queue/components/QueueFrontButton.tsx @@ -10,15 +10,16 @@ const QueueFrontButton = () => { const { t } = useTranslation(); const { queueFront, isLoading, isDisabled } = useQueueFront(); return ( - } - icon={} - size="lg" - /> + + } + size="lg" + /> + ); }; diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLPrompts/ParamSDXLNegativeStylePrompt.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLPrompts/ParamSDXLNegativeStylePrompt.tsx index bba9e0b32d..afc116a903 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/SDXLPrompts/ParamSDXLNegativeStylePrompt.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLPrompts/ParamSDXLNegativeStylePrompt.tsx @@ -42,6 +42,7 @@ export const ParamSDXLNegativeStylePrompt = memo(() => { fontSize="sm" variant="darkFilled" paddingRight={30} + spellCheck={false} /> diff --git a/invokeai/frontend/web/src/features/sdxl/components/SDXLPrompts/ParamSDXLPositiveStylePrompt.tsx b/invokeai/frontend/web/src/features/sdxl/components/SDXLPrompts/ParamSDXLPositiveStylePrompt.tsx index 3828136c74..b16730db45 100644 --- a/invokeai/frontend/web/src/features/sdxl/components/SDXLPrompts/ParamSDXLPositiveStylePrompt.tsx +++ b/invokeai/frontend/web/src/features/sdxl/components/SDXLPrompts/ParamSDXLPositiveStylePrompt.tsx @@ -39,6 +39,7 @@ export const ParamSDXLPositiveStylePrompt = memo(() => { fontSize="sm" variant="darkFilled" paddingRight={30} + spellCheck={false} /> diff --git a/invokeai/frontend/web/src/features/settingsAccordions/components/ImageSettingsAccordion/ImageSettingsAccordion.tsx b/invokeai/frontend/web/src/features/settingsAccordions/components/ImageSettingsAccordion/ImageSettingsAccordion.tsx index e9a9263605..47392cdb8c 100644 --- a/invokeai/frontend/web/src/features/settingsAccordions/components/ImageSettingsAccordion/ImageSettingsAccordion.tsx +++ b/invokeai/frontend/web/src/features/settingsAccordions/components/ImageSettingsAccordion/ImageSettingsAccordion.tsx @@ -9,7 +9,7 @@ import { selectHrfSlice } from 'features/hrf/store/hrfSlice'; import ParamScaleBeforeProcessing from 'features/parameters/components/Canvas/InfillAndScaling/ParamScaleBeforeProcessing'; import ParamScaledHeight from 'features/parameters/components/Canvas/InfillAndScaling/ParamScaledHeight'; import ParamScaledWidth from 'features/parameters/components/Canvas/InfillAndScaling/ParamScaledWidth'; -import ImageToImageStrength from 'features/parameters/components/ImageToImage/ImageToImageStrength'; +import ParamImageToImageStrength from 'features/parameters/components/Canvas/ParamImageToImageStrength'; import { ParamSeedNumberInput } from 'features/parameters/components/Seed/ParamSeedNumberInput'; import { ParamSeedRandomize } from 'features/parameters/components/Seed/ParamSeedRandomize'; import { ParamSeedShuffle } from 'features/parameters/components/Seed/ParamSeedShuffle'; @@ -85,7 +85,10 @@ export const ImageSettingsAccordion = memo(() => { onToggle={onToggleAccordion} > - {activeTabName === 'canvas' ? : } + + {activeTabName === 'canvas' ? : } + {activeTabName === 'canvas' && } + @@ -93,7 +96,6 @@ export const ImageSettingsAccordion = memo(() => { - {activeTabName === 'canvas' && } {activeTabName === 'generation' && !isSDXL && } {activeTabName === 'canvas' && ( <> diff --git a/invokeai/frontend/web/src/features/system/components/HotkeysModal/useHotkeyData.ts b/invokeai/frontend/web/src/features/system/components/HotkeysModal/useHotkeyData.ts index 806b85ca59..79d957d7d3 100644 --- a/invokeai/frontend/web/src/features/system/components/HotkeysModal/useHotkeyData.ts +++ b/invokeai/frontend/web/src/features/system/components/HotkeysModal/useHotkeyData.ts @@ -141,14 +141,9 @@ export const useHotkeyData = (): HotkeyGroup[] => { hotkeys: [['Arrow Right']], }, { - title: t('hotkeys.openImageViewer.title'), - desc: t('hotkeys.openImageViewer.desc'), - hotkeys: [['I']], - }, - { - title: t('hotkeys.backToEditor.title'), - desc: t('hotkeys.backToEditor.desc'), - hotkeys: [['Esc']], + title: t('hotkeys.toggleViewer.title'), + desc: t('hotkeys.toggleViewer.desc'), + hotkeys: [['Z']], }, ], }), diff --git a/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx b/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx index 32611b2354..5a8273b7fc 100644 --- a/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx +++ b/invokeai/frontend/web/src/features/ui/components/FloatingParametersPanelButtons.tsx @@ -63,16 +63,17 @@ const FloatingSidePanelButtons = (props: Props) => { sx={floatingButtonStyles} icon={} /> - } - sx={floatingButtonStyles} - /> + + + diff --git a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx index 5e37a2d8c8..1968c64161 100644 --- a/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx +++ b/invokeai/frontend/web/src/features/ui/components/InvokeTabs.tsx @@ -4,7 +4,6 @@ import { createMemoizedSelector } from 'app/store/createMemoizedSelector'; import { $customNavComponent } from 'app/store/nanostores/customNavComponent'; import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import ImageGalleryContent from 'features/gallery/components/ImageGalleryContent'; -import { ImageViewer } from 'features/gallery/components/ImageViewer/ImageViewer'; import NodeEditorPanelGroup from 'features/nodes/components/sidePanel/NodeEditorPanelGroup'; import InvokeAILogoComponent from 'features/system/components/InvokeAILogoComponent'; import SettingsMenu from 'features/system/components/SettingsModal/SettingsMenu'; @@ -254,11 +253,10 @@ const InvokeTabs = () => { /> )} - + {tabPanels} - {shouldShowGalleryPanel && ( <> diff --git a/invokeai/frontend/web/src/features/ui/components/ParametersPanelTextToImage.tsx b/invokeai/frontend/web/src/features/ui/components/ParametersPanelTextToImage.tsx index abd78d00e4..b78d5dce9a 100644 --- a/invokeai/frontend/web/src/features/ui/components/ParametersPanelTextToImage.tsx +++ b/invokeai/frontend/web/src/features/ui/components/ParametersPanelTextToImage.tsx @@ -1,9 +1,9 @@ import type { ChakraProps } from '@invoke-ai/ui-library'; import { Box, Flex, Tab, TabList, TabPanel, TabPanels, Tabs } from '@invoke-ai/ui-library'; -import { useAppSelector } from 'app/store/storeHooks'; +import { useAppDispatch, useAppSelector } from 'app/store/storeHooks'; import { overlayScrollbarsParams } from 'common/components/OverlayScrollbars/constants'; import { ControlLayersPanelContent } from 'features/controlLayers/components/ControlLayersPanelContent'; -import { useControlLayersTitle } from 'features/controlLayers/hooks/useControlLayersTitle'; +import { isImageViewerOpenChanged } from 'features/gallery/store/gallerySlice'; import { Prompts } from 'features/parameters/components/Prompts/Prompts'; import QueueControls from 'features/queue/components/QueueControls'; import { SDXLPrompts } from 'features/sdxl/components/SDXLPrompts/SDXLPrompts'; @@ -16,7 +16,7 @@ import { RefinerSettingsAccordion } from 'features/settingsAccordions/components import { activeTabNameSelector } from 'features/ui/store/uiSelectors'; import { OverlayScrollbarsComponent } from 'overlayscrollbars-react'; import type { CSSProperties } from 'react'; -import { memo } from 'react'; +import { memo, useCallback, useMemo } from 'react'; import { useTranslation } from 'react-i18next'; const overlayScrollbarsStyles: CSSProperties = { @@ -24,34 +24,38 @@ const overlayScrollbarsStyles: CSSProperties = { width: '100%', }; -const unselectedStyles: ChakraProps['sx'] = { - bg: 'none', - color: 'base.300', +const baseStyles: ChakraProps['sx'] = { fontWeight: 'semibold', fontSize: 'sm', - w: '50%', - borderWidth: 1, - borderRadius: 'base', + color: 'base.300', }; const selectedStyles: ChakraProps['sx'] = { + borderColor: 'base.800', + borderBottomColor: 'base.900', color: 'invokeBlue.300', - borderColor: 'invokeBlueAlpha.400', - _hover: { - color: 'invokeBlue.200', - }, -}; - -const hoverStyles: ChakraProps['sx'] = { - bg: 'base.850', - color: 'base.100', }; const ParametersPanelTextToImage = () => { const { t } = useTranslation(); + const dispatch = useAppDispatch(); const activeTabName = useAppSelector(activeTabNameSelector); - const controlLayersTitle = useControlLayersTitle(); + const controlLayersCount = useAppSelector((s) => s.controlLayers.present.layers.length); + const controlLayersTitle = useMemo(() => { + if (controlLayersCount === 0) { + return t('controlLayers.controlLayers'); + } + return `${t('controlLayers.controlLayers')} (${controlLayersCount})`; + }, [controlLayersCount, t]); const isSDXL = useAppSelector((s) => s.generation.model?.base === 'sdxl'); + const onChangeTabs = useCallback( + (i: number) => { + if (i === 1) { + dispatch(isImageViewerOpenChanged(false)); + } + }, + [dispatch] + ); return ( @@ -61,12 +65,24 @@ const ParametersPanelTextToImage = () => { {isSDXL ? : } - - - + + + {t('common.settingsLabel')} - + {controlLayersTitle} diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/NodesTab.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/NodesTab.tsx index 2ee21bfadf..b4f473ae03 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/NodesTab.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/NodesTab.tsx @@ -1,9 +1,20 @@ import { Box } from '@invoke-ai/ui-library'; +import { useAppSelector } from 'app/store/storeHooks'; +import { ImageViewerWorkflows } from 'features/gallery/components/ImageViewer/ImageViewerWorkflows'; import NodeEditor from 'features/nodes/components/NodeEditor'; import { memo } from 'react'; import { ReactFlowProvider } from 'reactflow'; const NodesTab = () => { + const mode = useAppSelector((s) => s.workflow.mode); + if (mode === 'view') { + return ( + + + + ); + } + return ( diff --git a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImageTab.tsx b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImageTab.tsx index 74845a9ca9..1c1c9c24a4 100644 --- a/invokeai/frontend/web/src/features/ui/components/tabs/TextToImageTab.tsx +++ b/invokeai/frontend/web/src/features/ui/components/tabs/TextToImageTab.tsx @@ -1,11 +1,13 @@ import { Box } from '@invoke-ai/ui-library'; import { ControlLayersEditor } from 'features/controlLayers/components/ControlLayersEditor'; +import { ImageViewer } from 'features/gallery/components/ImageViewer/ImageViewer'; import { memo } from 'react'; const TextToImageTab = () => { return ( + ); }; diff --git a/invokeai/version/invokeai_version.py b/invokeai/version/invokeai_version.py index afcedcd6bb..aef46acb47 100644 --- a/invokeai/version/invokeai_version.py +++ b/invokeai/version/invokeai_version.py @@ -1 +1 @@ -__version__ = "4.2.0b1" +__version__ = "4.2.1"