From 044e1ec2a815dd50c56c45fc3ea9eda5930bdd27 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Fri, 9 Sep 2022 09:55:48 -0500
Subject: [PATCH 001/110] Add requirements file for linux container on Apple
 silicon

---
 requirements-linux-arm64.txt | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)
 create mode 100644 requirements-linux-arm64.txt

diff --git a/requirements-linux-arm64.txt b/requirements-linux-arm64.txt
new file mode 100644
index 0000000000..24ad623d84
--- /dev/null
+++ b/requirements-linux-arm64.txt
@@ -0,0 +1,24 @@
+albumentations==0.4.3
+einops==0.3.0
+huggingface-hub==0.8.1
+imageio==2.9.0
+imageio-ffmpeg==0.4.2
+kornia==0.6.0
+numpy==1.23.1
+--pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
+omegaconf==2.1.1
+opencv-python==4.6.0.66
+pillow==9.2.0
+pudb==2019.2
+torch==1.12.1
+torchvision==0.12.0
+pytorch-lightning==1.4.2
+streamlit==1.12.0
+test-tube>=0.7.5
+torch-fidelity==0.3.0
+torchmetrics==0.6.0
+transformers==4.19.2
+-e git+https://github.com/openai/CLIP.git@main#egg=clip
+-e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
+git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
+-e .
\ No newline at end of file

From 348b4b8be5018432eec75853cefa31abf5f188bb Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Fri, 9 Sep 2022 09:55:48 -0500
Subject: [PATCH 002/110] Add requirements file for linux container on Apple
 silicon

---
 requirements-linux-arm64.txt | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)
 create mode 100644 requirements-linux-arm64.txt

diff --git a/requirements-linux-arm64.txt b/requirements-linux-arm64.txt
new file mode 100644
index 0000000000..24ad623d84
--- /dev/null
+++ b/requirements-linux-arm64.txt
@@ -0,0 +1,24 @@
+albumentations==0.4.3
+einops==0.3.0
+huggingface-hub==0.8.1
+imageio==2.9.0
+imageio-ffmpeg==0.4.2
+kornia==0.6.0
+numpy==1.23.1
+--pre torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/nightly/cpu
+omegaconf==2.1.1
+opencv-python==4.6.0.66
+pillow==9.2.0
+pudb==2019.2
+torch==1.12.1
+torchvision==0.12.0
+pytorch-lightning==1.4.2
+streamlit==1.12.0
+test-tube>=0.7.5
+torch-fidelity==0.3.0
+torchmetrics==0.6.0
+transformers==4.19.2
+-e git+https://github.com/openai/CLIP.git@main#egg=clip
+-e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
+git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
+-e .
\ No newline at end of file

From 4a0354c60443b5f9083516207fc995b5b79d6b03 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Fri, 9 Sep 2022 15:28:15 -0500
Subject: [PATCH 003/110] Add README for Mac-Docker

---
 README-Mac-Docker.md | 234 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 234 insertions(+)
 create mode 100644 README-Mac-Docker.md

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
new file mode 100644
index 0000000000..dc51944a37
--- /dev/null
+++ b/README-Mac-Docker.md
@@ -0,0 +1,234 @@
+Table of Contents
+=================
+
+Tested on **MacBook Air M2** with **Docker Desktop for Mac with Apple Chip**.
+
+* [Setup](#setup)
+   * [Directly on Apple silicon](#directly-on-apple-silicon)
+      * [Prerequisites](#prerequisites)
+      * [Set up](#set-up)
+   * [On a Linux container with Docker for Apple silicon](#on-a-linux-container-with-docker-for-apple-silicon)
+      * [Prerequisites](#prerequisites-1)
+      * [Launch and set up a container](#launch-and-set-up-a-container)
+   * [[Optional] Face Restoration and Upscaling](#optional-face-restoration-and-upscaling)
+* [Usage](#usage)
+   * [Startup](#startup)
+   * [Text to Image](#text-to-image)
+   * [Image to Image](#image-to-image)
+   * [Web Interface](#web-interface)
+   * [Notes](#notes)
+
+# Setup
+
+## Directly on Apple silicon
+  
+For Mac M1/M2. Read more about [Metal Performance Shaders (MPS) framework](https://developer.apple.com/documentation/metalperformanceshaders).
+
+### Prerequisites
+Install the latest versions of macOS, [Homebrew](https://brew.sh/), [Python](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#python), and [Git](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#git).  
+
+```Shell
+brew install cmake protobuf rust
+brew install --cask miniconda
+conda init zsh && source ~/.zshrc # or bash and .bashrc
+```
+
+### Set up
+```Shell
+GITHUB_STABLE_DIFFUSION=https://github.com/santisbon/stable-diffusion.git
+
+git clone $GITHUB_STABLE_DIFFUSION
+cd stable-diffusion
+mkdir -p models/ldm/stable-diffusion-v1/
+```
+
+Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB). You'll need to create an account but it's quick and free. Then set up the environment:
+
+```Shell
+PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
+ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
+
+# When path exists, pip3 will (w)ipe. 
+# restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
+PIP_EXISTS_ACTION=w
+CONDA_SUBDIR=osx-arm64
+conda env create -f environment-mac.yaml && conda activate ldm
+```
+
+You can verify you're in the virtual environment by looking at which executable you're getting:
+```Shell
+type python3
+```
+
+Only need to do this once:
+```Shell
+python3 scripts/preload_models.py
+```
+
+## On a Linux container with Docker for Apple silicon
+You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
+
+### Prerequisites
+[Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#install-2)  
+On the Docker Desktop app, go to Preferences, Resources, Advanced. Adjust the CPUs and Memory to the largest amount available to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.
+
+Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
+You'll need to create an account but it's quick and free.
+
+Create a Docker volume for the downloaded model file
+```
+docker volume create my-vol
+```
+
+Populate the volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
+```Shell
+docker create --name dummy --mount source=my-vol,target=/data alpine
+cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
+docker cp sd-v1-4.ckpt dummy:/data
+```
+
+### Launch and set up a container
+Start a container for Stable Diffusion
+```Shell
+docker run -it \
+--platform linux/arm64 \
+--name stable-diffusion \
+--hostname stable-diffusion \
+--mount source=my-vol,target=/data \
+debian
+# or arm64v8/debian
+```
+
+You're now on the container. Set it up:
+```Shell
+apt update && apt upgrade -y && apt install -y \
+git \
+pip3 \
+python3 \
+wget
+
+GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git"
+
+# you won't need to close and reopen your terminal after this because we'll source our .<shell>rc file
+cd /data && wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
+&& chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc
+# update conda
+conda update -y -n base -c defaults conda 
+
+cd / && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion 
+
+# When path exists, pip3 will (w)ipe. 
+# restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
+PIP_EXISTS_ACTION=w 
+CONDA_SUBDIR=osx-arm64 
+
+# Create the environment
+# conda env create -f environment.yaml && conda activate ldm
+conda create -y --name ldm && conda activate ldm
+pip3 install -r requirements-linux-arm64.txt 
+
+python3 scripts/preload_models.py
+
+mkdir -p models/ldm/stable-diffusion-v1 \
+&& chown root:root /data/sd-v1-4.ckpt \
+&& ln -sf /data/sd-v1-4.ckpt models/ldm/stable-diffusion-v1/model.ckpt
+```
+
+## [Optional] Face Restoration and Upscaling 
+```Shell
+cd .. # by default expected in a sibling directory
+git clone https://github.com/TencentARC/GFPGAN.git
+cd GFPGAN
+
+pip3 install basicsr # used for training and inference
+pip3 install facexlib # face detection and face restoration helper
+pip3 install -r requirements.txt
+
+python3 setup.py develop
+pip3 install realesrgan # to enhance the background (non-face) regions and do upscaling
+# pre-trained model needed for face restoration
+wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
+
+cd ..
+cd stable-diffusion
+python3 scripts/preload_models.py # if not, it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
+```
+
+# Usage
+
+## Startup
+With the Conda environment activated (```conda activate ldm```), run the interactive interface that combines the functionality of the original scripts txt2img and img2img:
+Use the more accurate but VRAM-intensive full precision math because half-precision requires autocast and won't work.
+
+By default the images are saved in ```outputs/img-samples/```.  
+If you're on a docker container set the output dir to the Docker volume.
+```Shell
+# If on Macbook
+python3 scripts/dream.py --full_precision
+# If on Linux container
+python3 scripts/dream.py --full_precision -o /data
+```
+
+You'll get the script's prompt. You can see available options or quit.
+```Shell
+dream> -h
+dream> q
+```
+
+## Text to Image
+For quick (and rough) results test with 5 steps (default 50), 1 sample image.  
+Increase steps to 100 or more for good (but slower) results.  
+The prompt can be in quotes or not.
+```
+dream> The hulk fighting with sheldon cooper -s5 -n1 
+dream> "woman closeup highly detailed"  -s 150
+# Reuse previous seed and apply face restoration (if you installed GFPGAN)
+dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.8
+```
+TODO: example for upscaling. The -U option currently [doesn't work](https://github.com/lstein/stable-diffusion/issues/297) on Mac.  
+
+If you're on a container and set the output to the Docker volume (or moved it there with ```mv outputs/img-samples/ /data/```) you can copy it easily wherever you want.
+```Shell
+# On your host Macbook (you can use the name of any container that mounted the volume)
+docker cp dummy:/data/ ~/Pictures 
+```
+
+## Image to Image
+You can also do text-guided image-to-image translation. For example, turning a sketch into a detailed drawing.  
+Strength is a value between 0.0 and 1.0, that controls the amount of noise that is added to the input image. Values that approach 1.0 allow for lots of variations but will also produce images that are not semantically consistent with the input. 0.0 preserves image exactly, 1.0 replaces it completely.  
+Make sure your input image size dimensions are multiples of 64 e.g. 512x512. Otherwise you'll get ```Error: product of dimension sizes > 2**31'```. If you still get the error [try a different size](https://support.apple.com/guide/preview/resize-rotate-or-flip-an-image-prvw2015/mac#:~:text=image's%20file%20size-,In%20the%20Preview%20app%20on%20your%20Mac%2C%20open%20the%20file,is%20shown%20at%20the%20bottom.) like 512x256.  
+
+If you're on a docker container, copy your input image into the Docker volume
+```Shell
+docker cp ~/Pictures/sketch-mountains-input.jpg dummy:/data/
+```
+
+Try it out generating an image (or 4).
+```Shell
+# If you're on your Macbook 
+dream> "A fantasy landscape, trending on artstation" -I ~/Pictures/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n4
+# If you're on a Linux container on your Macbook
+dream> "A fantasy landscape, trending on artstation" -I /data/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n1
+```
+
+## Web Interface
+You can use the script with a graphical web interface
+```Shell
+python3 scripts/dream.py --full_precision --web
+```
+and point your browser to http://127.0.0.1:9090
+
+## Notes
+
+Some text you can add at the end of the prompt to make it very pretty:
+```Shell
+cinematic photo, highly detailed, cinematic lighting, ultra-detailed, ultrarealistic, photorealism, Octane Rendering, cyberpunk lights, Hyper Detail, 8K, HD, Unreal Engine, V-Ray, full hd, cyberpunk, abstract, 3d octane render + 4k UHD + immense detail + dramatic lighting + well lit + black, purple, blue, pink, cerulean, teal, metallic colours, + fine details, ultra photoreal, photographic, concept art, cinematic composition, rule of thirds, mysterious, eerie, photorealism, breathtaking detailed concept art painting art deco pattern, by hsiao, ron cheng, john james audubon, bizarre compositions, exquisite detail, extremely moody lighting, painted by greg rutkowski makoto shinkai takashi takeuchi studio ghibli, akihiko yoshida
+```
+
+The original scripts should work as well.
+```Shell
+python3 scripts/orig_scripts/txt2img.py --help
+python3 scripts/orig_scripts/txt2img.py --ddim_steps 100 --n_iter 1 --n_samples 1  --plms --prompt "new born baby kitten. Hyper Detail, Octane Rendering, Unreal Engine, V-Ray"
+python3 scripts/orig_scripts/txt2img.py --ddim_steps 5   --n_iter 1 --n_samples 1  --plms --prompt "ocean" # or --klms
+```
+

From 6d2084e0303c88e8ebe031468ca870dc69f1c4a6 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Fri, 9 Sep 2022 15:46:14 -0500
Subject: [PATCH 004/110] Clean up instructioins

---
 README-Mac-Docker.md | 51 ++++++++++++++++++++++----------------------
 1 file changed, 26 insertions(+), 25 deletions(-)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index dc51944a37..ae51416e6f 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -1,16 +1,16 @@
+
 Table of Contents
 =================
 
-Tested on **MacBook Air M2** with **Docker Desktop for Mac with Apple Chip**.
-
-* [Setup](#setup)
-   * [Directly on Apple silicon](#directly-on-apple-silicon)
+* [Installation](#installation)
+   * [Option 1 - Directly on Apple silicon](#option-1---directly-on-apple-silicon)
       * [Prerequisites](#prerequisites)
-      * [Set up](#set-up)
-   * [On a Linux container with Docker for Apple silicon](#on-a-linux-container-with-docker-for-apple-silicon)
+      * [Setup](#setup)
+   * [Option 2 - On a Linux container with Docker for Apple silicon](#option-2---on-a-linux-container-with-docker-for-apple-silicon)
       * [Prerequisites](#prerequisites-1)
-      * [Launch and set up a container](#launch-and-set-up-a-container)
+      * [Setup](#setup-1)
    * [[Optional] Face Restoration and Upscaling](#optional-face-restoration-and-upscaling)
+      * [Setup](#setup-2)
 * [Usage](#usage)
    * [Startup](#startup)
    * [Text to Image](#text-to-image)
@@ -18,10 +18,9 @@ Tested on **MacBook Air M2** with **Docker Desktop for Mac with Apple Chip**.
    * [Web Interface](#web-interface)
    * [Notes](#notes)
 
-# Setup
+# Installation
 
-## Directly on Apple silicon
-  
+## Option 1 - Directly on Apple silicon
 For Mac M1/M2. Read more about [Metal Performance Shaders (MPS) framework](https://developer.apple.com/documentation/metalperformanceshaders).
 
 ### Prerequisites
@@ -33,7 +32,8 @@ brew install --cask miniconda
 conda init zsh && source ~/.zshrc # or bash and .bashrc
 ```
 
-### Set up
+### Setup
+Set it to the fork you want to use.
 ```Shell
 GITHUB_STABLE_DIFFUSION=https://github.com/santisbon/stable-diffusion.git
 
@@ -65,7 +65,7 @@ Only need to do this once:
 python3 scripts/preload_models.py
 ```
 
-## On a Linux container with Docker for Apple silicon
+## Option 2 - On a Linux container with Docker for Apple silicon
 You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
 
 ### Prerequisites
@@ -87,7 +87,7 @@ cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
 docker cp sd-v1-4.ckpt dummy:/data
 ```
 
-### Launch and set up a container
+### Setup
 Start a container for Stable Diffusion
 ```Shell
 docker run -it \
@@ -99,16 +99,16 @@ debian
 # or arm64v8/debian
 ```
 
-You're now on the container. Set it up:
+You're now on the container. Set the fork you want to use and set up the container:
 ```Shell
+GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git"
+
 apt update && apt upgrade -y && apt install -y \
 git \
 pip3 \
 python3 \
 wget
 
-GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git"
-
 # you won't need to close and reopen your terminal after this because we'll source our .<shell>rc file
 cd /data && wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
 && chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc
@@ -135,13 +135,15 @@ mkdir -p models/ldm/stable-diffusion-v1 \
 ```
 
 ## [Optional] Face Restoration and Upscaling 
-```Shell
-cd .. # by default expected in a sibling directory
-git clone https://github.com/TencentARC/GFPGAN.git
-cd GFPGAN
+Whether you're directly on macOS or a Linux container.
 
-pip3 install basicsr # used for training and inference
-pip3 install facexlib # face detection and face restoration helper
+### Setup
+```Shell
+# by default expected in a sibling directory to stable-diffusion
+cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
+
+# basicsr: used for training and inference. facexlib: face detection / face restoration helper.
+pip3 install basicsr facexlib 
 pip3 install -r requirements.txt
 
 python3 setup.py develop
@@ -149,8 +151,7 @@ pip3 install realesrgan # to enhance the background (non-face) regions and do up
 # pre-trained model needed for face restoration
 wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
 
-cd ..
-cd stable-diffusion
+cd ../stable-diffusion
 python3 scripts/preload_models.py # if not, it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
 ```
 
@@ -222,7 +223,7 @@ and point your browser to http://127.0.0.1:9090
 
 Some text you can add at the end of the prompt to make it very pretty:
 ```Shell
-cinematic photo, highly detailed, cinematic lighting, ultra-detailed, ultrarealistic, photorealism, Octane Rendering, cyberpunk lights, Hyper Detail, 8K, HD, Unreal Engine, V-Ray, full hd, cyberpunk, abstract, 3d octane render + 4k UHD + immense detail + dramatic lighting + well lit + black, purple, blue, pink, cerulean, teal, metallic colours, + fine details, ultra photoreal, photographic, concept art, cinematic composition, rule of thirds, mysterious, eerie, photorealism, breathtaking detailed concept art painting art deco pattern, by hsiao, ron cheng, john james audubon, bizarre compositions, exquisite detail, extremely moody lighting, painted by greg rutkowski makoto shinkai takashi takeuchi studio ghibli, akihiko yoshida
+cinematic photo, highly detailed, cinematic lighting, ultra-detailed, ultrarealistic, photorealism, Octane Rendering, cyberpunk lights, Hyper Detail, 8K, HD, Unreal Engine, V-Ray, full hd, cyberpunk, abstract, 3d octane render + 4k UHD + immense detail + dramatic lighting + well lit + black, purple, blue, pink, cerulean, teal, metallic colours, + fine details, ultra photoreal, photographic, concept art, cinematic composition, rule of thirds, mysterious, eerie, photorealism, breathtaking detailed, painting art deco pattern, by hsiao, ron cheng, john james audubon, bizarre compositions, exquisite detail, extremely moody lighting, painted by greg rutkowski makoto shinkai takashi takeuchi studio ghibli, akihiko yoshida
 ```
 
 The original scripts should work as well.

From 4185afea5c299b146123a49abde1d6d2fac91ba4 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Fri, 9 Sep 2022 23:15:09 -0500
Subject: [PATCH 005/110] Update documentation

---
 README-Mac-Docker.md | 85 +++++++++++++++++++++++++-------------------
 1 file changed, 49 insertions(+), 36 deletions(-)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index ae51416e6f..503fe7f442 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -18,6 +18,10 @@ Table of Contents
    * [Web Interface](#web-interface)
    * [Notes](#notes)
 
+
+Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
+You'll need to create an account but it's quick and free.
+
 # Installation
 
 ## Option 1 - Directly on Apple silicon
@@ -33,8 +37,9 @@ conda init zsh && source ~/.zshrc # or bash and .bashrc
 ```
 
 ### Setup
-Set it to the fork you want to use.
+
 ```Shell
+# Set the fork you want to use.
 GITHUB_STABLE_DIFFUSION=https://github.com/santisbon/stable-diffusion.git
 
 git clone $GITHUB_STABLE_DIFFUSION
@@ -42,8 +47,6 @@ cd stable-diffusion
 mkdir -p models/ldm/stable-diffusion-v1/
 ```
 
-Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB). You'll need to create an account but it's quick and free. Then set up the environment:
-
 ```Shell
 PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
 ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
@@ -70,10 +73,7 @@ You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https:
 
 ### Prerequisites
 [Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#install-2)  
-On the Docker Desktop app, go to Preferences, Resources, Advanced. Adjust the CPUs and Memory to the largest amount available to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.
-
-Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
-You'll need to create an account but it's quick and free.
+On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.  
 
 Create a Docker volume for the downloaded model file
 ```
@@ -82,38 +82,39 @@ docker volume create my-vol
 
 Populate the volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
 ```Shell
-docker create --name dummy --mount source=my-vol,target=/data alpine
+docker create --platform linux/arm64 --name dummy --mount source=my-vol,target=/data alpine # or arm64v8/alpine
 cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
 docker cp sd-v1-4.ckpt dummy:/data
 ```
 
 ### Setup
-Start a container for Stable Diffusion
+Start a container for Stable Diffusion. The container's 9090 port is mapped to the host's 80. That way you'll be able to use the Web interface from your Mac.
 ```Shell
 docker run -it \
 --platform linux/arm64 \
 --name stable-diffusion \
 --hostname stable-diffusion \
 --mount source=my-vol,target=/data \
+--expose 9090 \
+--publish 80:9090 \
 debian
 # or arm64v8/debian
 ```
 
-You're now on the container. Set the fork you want to use and set up the container:
+You're now on the container.
 ```Shell
-GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git"
-
-apt update && apt upgrade -y && apt install -y \
+# Set the fork you want to use
+GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git" \
+&& apt update && apt upgrade -y \
+&& apt install -y \
 git \
-pip3 \
+pip \
 python3 \
 wget
 
 # you won't need to close and reopen your terminal after this because we'll source our .<shell>rc file
 cd /data && wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
 && chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc
-# update conda
-conda update -y -n base -c defaults conda 
 
 cd / && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion 
 
@@ -122,11 +123,11 @@ cd / && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion
 PIP_EXISTS_ACTION=w 
 CONDA_SUBDIR=osx-arm64 
 
-# Create the environment
-# conda env create -f environment.yaml && conda activate ldm
-conda create -y --name ldm && conda activate ldm
-pip3 install -r requirements-linux-arm64.txt 
+# Create the environment, activate it, install requirements.
+conda create -y --name ldm && conda activate ldm \
+&& pip3 install -r requirements-linux-arm64.txt 
 
+# Only need to do this once (ok twice if you decide to add face restoration and upscaling):
 python3 scripts/preload_models.py
 
 mkdir -p models/ldm/stable-diffusion-v1 \
@@ -139,6 +140,9 @@ Whether you're directly on macOS or a Linux container.
 
 ### Setup
 ```Shell
+# If you're on a Linux container
+apt install -y libgl1-mesa-glx libglib2.0-0
+
 # by default expected in a sibling directory to stable-diffusion
 cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
 
@@ -152,9 +156,11 @@ pip3 install realesrgan # to enhance the background (non-face) regions and do up
 wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
 
 cd ../stable-diffusion
-python3 scripts/preload_models.py # if not, it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
+# if we don't preload models it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
+python3 scripts/preload_models.py 
 ```
 
+
 # Usage
 
 ## Startup
@@ -162,12 +168,12 @@ With the Conda environment activated (```conda activate ldm```), run the interac
 Use the more accurate but VRAM-intensive full precision math because half-precision requires autocast and won't work.
 
 By default the images are saved in ```outputs/img-samples/```.  
-If you're on a docker container set the output dir to the Docker volume.
+If you're on a docker container set the output dir to the Docker volume you created. 
 ```Shell
 # If on Macbook
 python3 scripts/dream.py --full_precision
 # If on Linux container
-python3 scripts/dream.py --full_precision -o /data
+python3 scripts/dream.py --full_precision -o /data 
 ```
 
 You'll get the script's prompt. You can see available options or quit.
@@ -177,21 +183,25 @@ dream> q
 ```
 
 ## Text to Image
-For quick (and rough) results test with 5 steps (default 50), 1 sample image.  
-Increase steps to 100 or more for good (but slower) results.  
+For quick (but very rough) results test with 5 steps (default 50) and 1 sample image. This will let you know that everything is set up correctly.  
+Then increase steps to 100 or more for good (but slower) results.  
 The prompt can be in quotes or not.
-```
+```Shell
 dream> The hulk fighting with sheldon cooper -s5 -n1 
 dream> "woman closeup highly detailed"  -s 150
 # Reuse previous seed and apply face restoration (if you installed GFPGAN)
-dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.8
+dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.75
+# TODO: example for upscaling.
 ```
-TODO: example for upscaling. The -U option currently [doesn't work](https://github.com/lstein/stable-diffusion/issues/297) on Mac.  
+You'll need to experiment to see if face restoration is making it better or worse for your specific prompt.
+The -U option for upscaling has an [Issue](https://github.com/lstein/stable-diffusion/issues/297) on Mac.  
 
-If you're on a container and set the output to the Docker volume (or moved it there with ```mv outputs/img-samples/ /data/```) you can copy it easily wherever you want.
+If you're on a container and set the output to the Docker volume (or moved it there with ```mv outputs/img-samples/ /data/```) you can copy it wherever you want.  
+You can download it from the Docker Desktop app, Volumes, my-vol, data.  
+Or you can copy it from your terminal. Keep in mind ```docker cp``` can't expand ```*.png``` so you'll need to specify the image file name:
 ```Shell
 # On your host Macbook (you can use the name of any container that mounted the volume)
-docker cp dummy:/data/ ~/Pictures 
+docker cp dummy:/data/000001.928403745.png /Users/<your-user>/Pictures 
 ```
 
 ## Image to Image
@@ -201,23 +211,26 @@ Make sure your input image size dimensions are multiples of 64 e.g. 512x512. Oth
 
 If you're on a docker container, copy your input image into the Docker volume
 ```Shell
-docker cp ~/Pictures/sketch-mountains-input.jpg dummy:/data/
+docker cp /Users/<your-user>/Pictures/sketch-mountains-input.jpg dummy:/data/
 ```
 
-Try it out generating an image (or 4).
+Try it out generating an image (or 4).  
+The ```dream``` script needs absolute paths to find the image so don't use ```~```.
 ```Shell
 # If you're on your Macbook 
-dream> "A fantasy landscape, trending on artstation" -I ~/Pictures/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n4
+dream> "A fantasy landscape, trending on artstation" -I /Users/<your-user>/Pictures/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n4
 # If you're on a Linux container on your Macbook
-dream> "A fantasy landscape, trending on artstation" -I /data/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n1
+dream> "A fantasy landscape, trending on artstation" -I /data/sketch-mountains-input.jpg --strength 0.75  --steps 100 -n1
 ```
 
 ## Web Interface
-You can use the script with a graphical web interface
+You can use the ```dream``` script with a graphical web interface. Start the web server with:
 ```Shell
 python3 scripts/dream.py --full_precision --web
 ```
-and point your browser to http://127.0.0.1:9090
+If it's running on your Mac point your Mac web browser to http://127.0.0.1:9090  
+
+Press Control-C at the command line to stop the web server.
 
 ## Notes
 

From dbfc35ece21e718f9318670686dcb7a50e816935 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Fri, 9 Sep 2022 15:28:15 -0500
Subject: [PATCH 006/110] Add README for Mac-Docker

---
 README-Mac-Docker.md | 234 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 234 insertions(+)
 create mode 100644 README-Mac-Docker.md

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
new file mode 100644
index 0000000000..dc51944a37
--- /dev/null
+++ b/README-Mac-Docker.md
@@ -0,0 +1,234 @@
+Table of Contents
+=================
+
+Tested on **MacBook Air M2** with **Docker Desktop for Mac with Apple Chip**.
+
+* [Setup](#setup)
+   * [Directly on Apple silicon](#directly-on-apple-silicon)
+      * [Prerequisites](#prerequisites)
+      * [Set up](#set-up)
+   * [On a Linux container with Docker for Apple silicon](#on-a-linux-container-with-docker-for-apple-silicon)
+      * [Prerequisites](#prerequisites-1)
+      * [Launch and set up a container](#launch-and-set-up-a-container)
+   * [[Optional] Face Restoration and Upscaling](#optional-face-restoration-and-upscaling)
+* [Usage](#usage)
+   * [Startup](#startup)
+   * [Text to Image](#text-to-image)
+   * [Image to Image](#image-to-image)
+   * [Web Interface](#web-interface)
+   * [Notes](#notes)
+
+# Setup
+
+## Directly on Apple silicon
+  
+For Mac M1/M2. Read more about [Metal Performance Shaders (MPS) framework](https://developer.apple.com/documentation/metalperformanceshaders).
+
+### Prerequisites
+Install the latest versions of macOS, [Homebrew](https://brew.sh/), [Python](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#python), and [Git](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#git).  
+
+```Shell
+brew install cmake protobuf rust
+brew install --cask miniconda
+conda init zsh && source ~/.zshrc # or bash and .bashrc
+```
+
+### Set up
+```Shell
+GITHUB_STABLE_DIFFUSION=https://github.com/santisbon/stable-diffusion.git
+
+git clone $GITHUB_STABLE_DIFFUSION
+cd stable-diffusion
+mkdir -p models/ldm/stable-diffusion-v1/
+```
+
+Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB). You'll need to create an account but it's quick and free. Then set up the environment:
+
+```Shell
+PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
+ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
+
+# When path exists, pip3 will (w)ipe. 
+# restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
+PIP_EXISTS_ACTION=w
+CONDA_SUBDIR=osx-arm64
+conda env create -f environment-mac.yaml && conda activate ldm
+```
+
+You can verify you're in the virtual environment by looking at which executable you're getting:
+```Shell
+type python3
+```
+
+Only need to do this once:
+```Shell
+python3 scripts/preload_models.py
+```
+
+## On a Linux container with Docker for Apple silicon
+You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
+
+### Prerequisites
+[Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#install-2)  
+On the Docker Desktop app, go to Preferences, Resources, Advanced. Adjust the CPUs and Memory to the largest amount available to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.
+
+Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
+You'll need to create an account but it's quick and free.
+
+Create a Docker volume for the downloaded model file
+```
+docker volume create my-vol
+```
+
+Populate the volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
+```Shell
+docker create --name dummy --mount source=my-vol,target=/data alpine
+cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
+docker cp sd-v1-4.ckpt dummy:/data
+```
+
+### Launch and set up a container
+Start a container for Stable Diffusion
+```Shell
+docker run -it \
+--platform linux/arm64 \
+--name stable-diffusion \
+--hostname stable-diffusion \
+--mount source=my-vol,target=/data \
+debian
+# or arm64v8/debian
+```
+
+You're now on the container. Set it up:
+```Shell
+apt update && apt upgrade -y && apt install -y \
+git \
+pip3 \
+python3 \
+wget
+
+GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git"
+
+# you won't need to close and reopen your terminal after this because we'll source our .<shell>rc file
+cd /data && wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
+&& chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc
+# update conda
+conda update -y -n base -c defaults conda 
+
+cd / && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion 
+
+# When path exists, pip3 will (w)ipe. 
+# restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
+PIP_EXISTS_ACTION=w 
+CONDA_SUBDIR=osx-arm64 
+
+# Create the environment
+# conda env create -f environment.yaml && conda activate ldm
+conda create -y --name ldm && conda activate ldm
+pip3 install -r requirements-linux-arm64.txt 
+
+python3 scripts/preload_models.py
+
+mkdir -p models/ldm/stable-diffusion-v1 \
+&& chown root:root /data/sd-v1-4.ckpt \
+&& ln -sf /data/sd-v1-4.ckpt models/ldm/stable-diffusion-v1/model.ckpt
+```
+
+## [Optional] Face Restoration and Upscaling 
+```Shell
+cd .. # by default expected in a sibling directory
+git clone https://github.com/TencentARC/GFPGAN.git
+cd GFPGAN
+
+pip3 install basicsr # used for training and inference
+pip3 install facexlib # face detection and face restoration helper
+pip3 install -r requirements.txt
+
+python3 setup.py develop
+pip3 install realesrgan # to enhance the background (non-face) regions and do upscaling
+# pre-trained model needed for face restoration
+wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
+
+cd ..
+cd stable-diffusion
+python3 scripts/preload_models.py # if not, it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
+```
+
+# Usage
+
+## Startup
+With the Conda environment activated (```conda activate ldm```), run the interactive interface that combines the functionality of the original scripts txt2img and img2img:
+Use the more accurate but VRAM-intensive full precision math because half-precision requires autocast and won't work.
+
+By default the images are saved in ```outputs/img-samples/```.  
+If you're on a docker container set the output dir to the Docker volume.
+```Shell
+# If on Macbook
+python3 scripts/dream.py --full_precision
+# If on Linux container
+python3 scripts/dream.py --full_precision -o /data
+```
+
+You'll get the script's prompt. You can see available options or quit.
+```Shell
+dream> -h
+dream> q
+```
+
+## Text to Image
+For quick (and rough) results test with 5 steps (default 50), 1 sample image.  
+Increase steps to 100 or more for good (but slower) results.  
+The prompt can be in quotes or not.
+```
+dream> The hulk fighting with sheldon cooper -s5 -n1 
+dream> "woman closeup highly detailed"  -s 150
+# Reuse previous seed and apply face restoration (if you installed GFPGAN)
+dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.8
+```
+TODO: example for upscaling. The -U option currently [doesn't work](https://github.com/lstein/stable-diffusion/issues/297) on Mac.  
+
+If you're on a container and set the output to the Docker volume (or moved it there with ```mv outputs/img-samples/ /data/```) you can copy it easily wherever you want.
+```Shell
+# On your host Macbook (you can use the name of any container that mounted the volume)
+docker cp dummy:/data/ ~/Pictures 
+```
+
+## Image to Image
+You can also do text-guided image-to-image translation. For example, turning a sketch into a detailed drawing.  
+Strength is a value between 0.0 and 1.0, that controls the amount of noise that is added to the input image. Values that approach 1.0 allow for lots of variations but will also produce images that are not semantically consistent with the input. 0.0 preserves image exactly, 1.0 replaces it completely.  
+Make sure your input image size dimensions are multiples of 64 e.g. 512x512. Otherwise you'll get ```Error: product of dimension sizes > 2**31'```. If you still get the error [try a different size](https://support.apple.com/guide/preview/resize-rotate-or-flip-an-image-prvw2015/mac#:~:text=image's%20file%20size-,In%20the%20Preview%20app%20on%20your%20Mac%2C%20open%20the%20file,is%20shown%20at%20the%20bottom.) like 512x256.  
+
+If you're on a docker container, copy your input image into the Docker volume
+```Shell
+docker cp ~/Pictures/sketch-mountains-input.jpg dummy:/data/
+```
+
+Try it out generating an image (or 4).
+```Shell
+# If you're on your Macbook 
+dream> "A fantasy landscape, trending on artstation" -I ~/Pictures/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n4
+# If you're on a Linux container on your Macbook
+dream> "A fantasy landscape, trending on artstation" -I /data/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n1
+```
+
+## Web Interface
+You can use the script with a graphical web interface
+```Shell
+python3 scripts/dream.py --full_precision --web
+```
+and point your browser to http://127.0.0.1:9090
+
+## Notes
+
+Some text you can add at the end of the prompt to make it very pretty:
+```Shell
+cinematic photo, highly detailed, cinematic lighting, ultra-detailed, ultrarealistic, photorealism, Octane Rendering, cyberpunk lights, Hyper Detail, 8K, HD, Unreal Engine, V-Ray, full hd, cyberpunk, abstract, 3d octane render + 4k UHD + immense detail + dramatic lighting + well lit + black, purple, blue, pink, cerulean, teal, metallic colours, + fine details, ultra photoreal, photographic, concept art, cinematic composition, rule of thirds, mysterious, eerie, photorealism, breathtaking detailed concept art painting art deco pattern, by hsiao, ron cheng, john james audubon, bizarre compositions, exquisite detail, extremely moody lighting, painted by greg rutkowski makoto shinkai takashi takeuchi studio ghibli, akihiko yoshida
+```
+
+The original scripts should work as well.
+```Shell
+python3 scripts/orig_scripts/txt2img.py --help
+python3 scripts/orig_scripts/txt2img.py --ddim_steps 100 --n_iter 1 --n_samples 1  --plms --prompt "new born baby kitten. Hyper Detail, Octane Rendering, Unreal Engine, V-Ray"
+python3 scripts/orig_scripts/txt2img.py --ddim_steps 5   --n_iter 1 --n_samples 1  --plms --prompt "ocean" # or --klms
+```
+

From e3be28eccaab3cd315030e88aba05a589c9d41ff Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Fri, 9 Sep 2022 15:46:14 -0500
Subject: [PATCH 007/110] Clean up instructioins

---
 README-Mac-Docker.md | 51 ++++++++++++++++++++++----------------------
 1 file changed, 26 insertions(+), 25 deletions(-)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index dc51944a37..ae51416e6f 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -1,16 +1,16 @@
+
 Table of Contents
 =================
 
-Tested on **MacBook Air M2** with **Docker Desktop for Mac with Apple Chip**.
-
-* [Setup](#setup)
-   * [Directly on Apple silicon](#directly-on-apple-silicon)
+* [Installation](#installation)
+   * [Option 1 - Directly on Apple silicon](#option-1---directly-on-apple-silicon)
       * [Prerequisites](#prerequisites)
-      * [Set up](#set-up)
-   * [On a Linux container with Docker for Apple silicon](#on-a-linux-container-with-docker-for-apple-silicon)
+      * [Setup](#setup)
+   * [Option 2 - On a Linux container with Docker for Apple silicon](#option-2---on-a-linux-container-with-docker-for-apple-silicon)
       * [Prerequisites](#prerequisites-1)
-      * [Launch and set up a container](#launch-and-set-up-a-container)
+      * [Setup](#setup-1)
    * [[Optional] Face Restoration and Upscaling](#optional-face-restoration-and-upscaling)
+      * [Setup](#setup-2)
 * [Usage](#usage)
    * [Startup](#startup)
    * [Text to Image](#text-to-image)
@@ -18,10 +18,9 @@ Tested on **MacBook Air M2** with **Docker Desktop for Mac with Apple Chip**.
    * [Web Interface](#web-interface)
    * [Notes](#notes)
 
-# Setup
+# Installation
 
-## Directly on Apple silicon
-  
+## Option 1 - Directly on Apple silicon
 For Mac M1/M2. Read more about [Metal Performance Shaders (MPS) framework](https://developer.apple.com/documentation/metalperformanceshaders).
 
 ### Prerequisites
@@ -33,7 +32,8 @@ brew install --cask miniconda
 conda init zsh && source ~/.zshrc # or bash and .bashrc
 ```
 
-### Set up
+### Setup
+Set it to the fork you want to use.
 ```Shell
 GITHUB_STABLE_DIFFUSION=https://github.com/santisbon/stable-diffusion.git
 
@@ -65,7 +65,7 @@ Only need to do this once:
 python3 scripts/preload_models.py
 ```
 
-## On a Linux container with Docker for Apple silicon
+## Option 2 - On a Linux container with Docker for Apple silicon
 You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
 
 ### Prerequisites
@@ -87,7 +87,7 @@ cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
 docker cp sd-v1-4.ckpt dummy:/data
 ```
 
-### Launch and set up a container
+### Setup
 Start a container for Stable Diffusion
 ```Shell
 docker run -it \
@@ -99,16 +99,16 @@ debian
 # or arm64v8/debian
 ```
 
-You're now on the container. Set it up:
+You're now on the container. Set the fork you want to use and set up the container:
 ```Shell
+GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git"
+
 apt update && apt upgrade -y && apt install -y \
 git \
 pip3 \
 python3 \
 wget
 
-GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git"
-
 # you won't need to close and reopen your terminal after this because we'll source our .<shell>rc file
 cd /data && wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
 && chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc
@@ -135,13 +135,15 @@ mkdir -p models/ldm/stable-diffusion-v1 \
 ```
 
 ## [Optional] Face Restoration and Upscaling 
-```Shell
-cd .. # by default expected in a sibling directory
-git clone https://github.com/TencentARC/GFPGAN.git
-cd GFPGAN
+Whether you're directly on macOS or a Linux container.
 
-pip3 install basicsr # used for training and inference
-pip3 install facexlib # face detection and face restoration helper
+### Setup
+```Shell
+# by default expected in a sibling directory to stable-diffusion
+cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
+
+# basicsr: used for training and inference. facexlib: face detection / face restoration helper.
+pip3 install basicsr facexlib 
 pip3 install -r requirements.txt
 
 python3 setup.py develop
@@ -149,8 +151,7 @@ pip3 install realesrgan # to enhance the background (non-face) regions and do up
 # pre-trained model needed for face restoration
 wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
 
-cd ..
-cd stable-diffusion
+cd ../stable-diffusion
 python3 scripts/preload_models.py # if not, it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
 ```
 
@@ -222,7 +223,7 @@ and point your browser to http://127.0.0.1:9090
 
 Some text you can add at the end of the prompt to make it very pretty:
 ```Shell
-cinematic photo, highly detailed, cinematic lighting, ultra-detailed, ultrarealistic, photorealism, Octane Rendering, cyberpunk lights, Hyper Detail, 8K, HD, Unreal Engine, V-Ray, full hd, cyberpunk, abstract, 3d octane render + 4k UHD + immense detail + dramatic lighting + well lit + black, purple, blue, pink, cerulean, teal, metallic colours, + fine details, ultra photoreal, photographic, concept art, cinematic composition, rule of thirds, mysterious, eerie, photorealism, breathtaking detailed concept art painting art deco pattern, by hsiao, ron cheng, john james audubon, bizarre compositions, exquisite detail, extremely moody lighting, painted by greg rutkowski makoto shinkai takashi takeuchi studio ghibli, akihiko yoshida
+cinematic photo, highly detailed, cinematic lighting, ultra-detailed, ultrarealistic, photorealism, Octane Rendering, cyberpunk lights, Hyper Detail, 8K, HD, Unreal Engine, V-Ray, full hd, cyberpunk, abstract, 3d octane render + 4k UHD + immense detail + dramatic lighting + well lit + black, purple, blue, pink, cerulean, teal, metallic colours, + fine details, ultra photoreal, photographic, concept art, cinematic composition, rule of thirds, mysterious, eerie, photorealism, breathtaking detailed, painting art deco pattern, by hsiao, ron cheng, john james audubon, bizarre compositions, exquisite detail, extremely moody lighting, painted by greg rutkowski makoto shinkai takashi takeuchi studio ghibli, akihiko yoshida
 ```
 
 The original scripts should work as well.

From f74e52079bc3c0baf82b36dfa2e420837f75f6bf Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Fri, 9 Sep 2022 23:15:09 -0500
Subject: [PATCH 008/110] Update documentation

---
 README-Mac-Docker.md | 85 +++++++++++++++++++++++++-------------------
 1 file changed, 49 insertions(+), 36 deletions(-)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index ae51416e6f..503fe7f442 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -18,6 +18,10 @@ Table of Contents
    * [Web Interface](#web-interface)
    * [Notes](#notes)
 
+
+Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
+You'll need to create an account but it's quick and free.
+
 # Installation
 
 ## Option 1 - Directly on Apple silicon
@@ -33,8 +37,9 @@ conda init zsh && source ~/.zshrc # or bash and .bashrc
 ```
 
 ### Setup
-Set it to the fork you want to use.
+
 ```Shell
+# Set the fork you want to use.
 GITHUB_STABLE_DIFFUSION=https://github.com/santisbon/stable-diffusion.git
 
 git clone $GITHUB_STABLE_DIFFUSION
@@ -42,8 +47,6 @@ cd stable-diffusion
 mkdir -p models/ldm/stable-diffusion-v1/
 ```
 
-Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB). You'll need to create an account but it's quick and free. Then set up the environment:
-
 ```Shell
 PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
 ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
@@ -70,10 +73,7 @@ You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https:
 
 ### Prerequisites
 [Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#install-2)  
-On the Docker Desktop app, go to Preferences, Resources, Advanced. Adjust the CPUs and Memory to the largest amount available to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.
-
-Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
-You'll need to create an account but it's quick and free.
+On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.  
 
 Create a Docker volume for the downloaded model file
 ```
@@ -82,38 +82,39 @@ docker volume create my-vol
 
 Populate the volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
 ```Shell
-docker create --name dummy --mount source=my-vol,target=/data alpine
+docker create --platform linux/arm64 --name dummy --mount source=my-vol,target=/data alpine # or arm64v8/alpine
 cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
 docker cp sd-v1-4.ckpt dummy:/data
 ```
 
 ### Setup
-Start a container for Stable Diffusion
+Start a container for Stable Diffusion. The container's 9090 port is mapped to the host's 80. That way you'll be able to use the Web interface from your Mac.
 ```Shell
 docker run -it \
 --platform linux/arm64 \
 --name stable-diffusion \
 --hostname stable-diffusion \
 --mount source=my-vol,target=/data \
+--expose 9090 \
+--publish 80:9090 \
 debian
 # or arm64v8/debian
 ```
 
-You're now on the container. Set the fork you want to use and set up the container:
+You're now on the container.
 ```Shell
-GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git"
-
-apt update && apt upgrade -y && apt install -y \
+# Set the fork you want to use
+GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git" \
+&& apt update && apt upgrade -y \
+&& apt install -y \
 git \
-pip3 \
+pip \
 python3 \
 wget
 
 # you won't need to close and reopen your terminal after this because we'll source our .<shell>rc file
 cd /data && wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
 && chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc
-# update conda
-conda update -y -n base -c defaults conda 
 
 cd / && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion 
 
@@ -122,11 +123,11 @@ cd / && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion
 PIP_EXISTS_ACTION=w 
 CONDA_SUBDIR=osx-arm64 
 
-# Create the environment
-# conda env create -f environment.yaml && conda activate ldm
-conda create -y --name ldm && conda activate ldm
-pip3 install -r requirements-linux-arm64.txt 
+# Create the environment, activate it, install requirements.
+conda create -y --name ldm && conda activate ldm \
+&& pip3 install -r requirements-linux-arm64.txt 
 
+# Only need to do this once (ok twice if you decide to add face restoration and upscaling):
 python3 scripts/preload_models.py
 
 mkdir -p models/ldm/stable-diffusion-v1 \
@@ -139,6 +140,9 @@ Whether you're directly on macOS or a Linux container.
 
 ### Setup
 ```Shell
+# If you're on a Linux container
+apt install -y libgl1-mesa-glx libglib2.0-0
+
 # by default expected in a sibling directory to stable-diffusion
 cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
 
@@ -152,9 +156,11 @@ pip3 install realesrgan # to enhance the background (non-face) regions and do up
 wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
 
 cd ../stable-diffusion
-python3 scripts/preload_models.py # if not, it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
+# if we don't preload models it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
+python3 scripts/preload_models.py 
 ```
 
+
 # Usage
 
 ## Startup
@@ -162,12 +168,12 @@ With the Conda environment activated (```conda activate ldm```), run the interac
 Use the more accurate but VRAM-intensive full precision math because half-precision requires autocast and won't work.
 
 By default the images are saved in ```outputs/img-samples/```.  
-If you're on a docker container set the output dir to the Docker volume.
+If you're on a docker container set the output dir to the Docker volume you created. 
 ```Shell
 # If on Macbook
 python3 scripts/dream.py --full_precision
 # If on Linux container
-python3 scripts/dream.py --full_precision -o /data
+python3 scripts/dream.py --full_precision -o /data 
 ```
 
 You'll get the script's prompt. You can see available options or quit.
@@ -177,21 +183,25 @@ dream> q
 ```
 
 ## Text to Image
-For quick (and rough) results test with 5 steps (default 50), 1 sample image.  
-Increase steps to 100 or more for good (but slower) results.  
+For quick (but very rough) results test with 5 steps (default 50) and 1 sample image. This will let you know that everything is set up correctly.  
+Then increase steps to 100 or more for good (but slower) results.  
 The prompt can be in quotes or not.
-```
+```Shell
 dream> The hulk fighting with sheldon cooper -s5 -n1 
 dream> "woman closeup highly detailed"  -s 150
 # Reuse previous seed and apply face restoration (if you installed GFPGAN)
-dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.8
+dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.75
+# TODO: example for upscaling.
 ```
-TODO: example for upscaling. The -U option currently [doesn't work](https://github.com/lstein/stable-diffusion/issues/297) on Mac.  
+You'll need to experiment to see if face restoration is making it better or worse for your specific prompt.
+The -U option for upscaling has an [Issue](https://github.com/lstein/stable-diffusion/issues/297) on Mac.  
 
-If you're on a container and set the output to the Docker volume (or moved it there with ```mv outputs/img-samples/ /data/```) you can copy it easily wherever you want.
+If you're on a container and set the output to the Docker volume (or moved it there with ```mv outputs/img-samples/ /data/```) you can copy it wherever you want.  
+You can download it from the Docker Desktop app, Volumes, my-vol, data.  
+Or you can copy it from your terminal. Keep in mind ```docker cp``` can't expand ```*.png``` so you'll need to specify the image file name:
 ```Shell
 # On your host Macbook (you can use the name of any container that mounted the volume)
-docker cp dummy:/data/ ~/Pictures 
+docker cp dummy:/data/000001.928403745.png /Users/<your-user>/Pictures 
 ```
 
 ## Image to Image
@@ -201,23 +211,26 @@ Make sure your input image size dimensions are multiples of 64 e.g. 512x512. Oth
 
 If you're on a docker container, copy your input image into the Docker volume
 ```Shell
-docker cp ~/Pictures/sketch-mountains-input.jpg dummy:/data/
+docker cp /Users/<your-user>/Pictures/sketch-mountains-input.jpg dummy:/data/
 ```
 
-Try it out generating an image (or 4).
+Try it out generating an image (or 4).  
+The ```dream``` script needs absolute paths to find the image so don't use ```~```.
 ```Shell
 # If you're on your Macbook 
-dream> "A fantasy landscape, trending on artstation" -I ~/Pictures/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n4
+dream> "A fantasy landscape, trending on artstation" -I /Users/<your-user>/Pictures/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n4
 # If you're on a Linux container on your Macbook
-dream> "A fantasy landscape, trending on artstation" -I /data/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n1
+dream> "A fantasy landscape, trending on artstation" -I /data/sketch-mountains-input.jpg --strength 0.75  --steps 100 -n1
 ```
 
 ## Web Interface
-You can use the script with a graphical web interface
+You can use the ```dream``` script with a graphical web interface. Start the web server with:
 ```Shell
 python3 scripts/dream.py --full_precision --web
 ```
-and point your browser to http://127.0.0.1:9090
+If it's running on your Mac point your Mac web browser to http://127.0.0.1:9090  
+
+Press Control-C at the command line to stop the web server.
 
 ## Notes
 

From 97c0c4bfe817d98e6031030450e7fac0b0bb3af7 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sat, 10 Sep 2022 12:38:31 -0500
Subject: [PATCH 009/110] Initial version of Dockerfile and entreypoint

---
 Dockerfile    | 50 ++++++++++++++++++++++++++++++++++++++++++++++++++
 entrypoint.sh |  8 ++++++++
 2 files changed, 58 insertions(+)
 create mode 100644 Dockerfile
 create mode 100755 entrypoint.sh

diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000000..59382247fb
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,50 @@
+FROM        arm64v8/debian 
+MAINTAINER  Armando C. Santisbon
+
+ARG         gsd
+ENV         GITHUB_STABLE_DIFFUSION $gsd
+
+ARG         sdreq="requirements-linux-arm64.txt"
+ENV         SD_REQ $sdreq
+
+WORKDIR     /
+COPY        entrypoint.sh anaconda.sh .
+SHELL       ["/bin/bash", "-c"]
+
+RUN         apt update && apt upgrade -y \
+            && apt install -y \
+            git \
+            pip \
+            python3 \
+            wget \
+            # install Anaconda or Miniconda
+            && chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc \
+            && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion \
+            # When path exists, pip3 will (w)ipe. 
+            && PIP_EXISTS_ACTION="w" \
+            # restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
+            && CONDA_SUBDIR="osx-arm64" \
+            # Create the environment, activate it, install requirements.
+            && conda create -y --name ldm && conda activate ldm \
+            && pip3 install -r $SD_REQ \
+            
+            # Only need to do this once (we'll do it after we add face restoration and upscaling):
+            # && python3 scripts/preload_models.py \
+            
+            && mkdir models/ldm/stable-diffusion-v1 \
+            # [Optional] Face Restoration and Upscaling 
+            && apt install -y libgl1-mesa-glx libglib2.0-0 \
+            # by default expected in a sibling directory to stable-diffusion
+            && cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN \
+            && pip3 install basicsr facexlib \
+            && pip3 install -r requirements.txt \
+            && python3 setup.py develop \
+            # to enhance the background (non-face) regions and do upscaling
+            && pip3 install realesrgan \
+            # pre-trained model needed for face restoration
+            && wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models \
+            && cd ../stable-diffusion \
+            # if we don't preload models it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
+            && python3 scripts/preload_models.py 
+
+ENTRYPOINT ["/entrypoint.sh"]
diff --git a/entrypoint.sh b/entrypoint.sh
new file mode 100755
index 0000000000..26967ab8ae
--- /dev/null
+++ b/entrypoint.sh
@@ -0,0 +1,8 @@
+#!/bin/bash
+ln -sf /data/sd-v1-4.ckpt /stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt
+
+if [ $# -eq 0 ]; then
+    python3 /stable-diffusion/scripts/dream.py --full_precision -o /data 
+else
+    python3 /stable-diffusion/scripts/dream.py --full_precision -o /data "$@"
+fi

From f9239af7dc6f1c57bc51ad26ca8321cc989822e3 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sat, 10 Sep 2022 12:42:05 -0500
Subject: [PATCH 010/110] Ignore Anaconda/Miniconda installer used during
 Docker build

---
 .gitignore | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.gitignore b/.gitignore
index fd75e65a48..bbb6fc20ee 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,6 +2,9 @@
 outputs/
 models/ldm/stable-diffusion-v1/model.ckpt
 
+# ignore the Anaconda/Miniconda installer used while building Docker image
+anaconda.sh
+
 # ignore a directory which serves as a place for initial images
 inputs/
 

From 2cf8de92344bb63ac5e7a3487a65f86b5ccbd725 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sat, 10 Sep 2022 13:56:18 -0500
Subject: [PATCH 011/110] Add entrypoint and update documentation

---
 README-Mac-Docker.md | 186 +++++++++++++++++++------------------------
 entrypoint.sh        |   6 +-
 2 files changed, 87 insertions(+), 105 deletions(-)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index 503fe7f442..eda202152c 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -2,29 +2,84 @@
 Table of Contents
 =================
 
-* [Installation](#installation)
-   * [Option 1 - Directly on Apple silicon](#option-1---directly-on-apple-silicon)
+* [Step 1 - Get the Model](#step-1---get-the-model)
+* [Step 2 - Installation](#step-2---installation)
+   * [Option A - On a Linux container with Docker for Apple silicon](#option-a---on-a-linux-container-with-docker-for-apple-silicon)
       * [Prerequisites](#prerequisites)
       * [Setup](#setup)
-   * [Option 2 - On a Linux container with Docker for Apple silicon](#option-2---on-a-linux-container-with-docker-for-apple-silicon)
+   * [Option B - Directly on Apple silicon](#option-b---directly-on-apple-silicon)
       * [Prerequisites](#prerequisites-1)
       * [Setup](#setup-1)
-   * [[Optional] Face Restoration and Upscaling](#optional-face-restoration-and-upscaling)
-      * [Setup](#setup-2)
-* [Usage](#usage)
+* [Step 3 - Usage (time to have fun)](#step-3---usage-time-to-have-fun)
    * [Startup](#startup)
    * [Text to Image](#text-to-image)
    * [Image to Image](#image-to-image)
    * [Web Interface](#web-interface)
    * [Notes](#notes)
 
-
+# Step 1 - Get the Model
 Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
 You'll need to create an account but it's quick and free.
 
-# Installation
+# Step 2 - Installation
 
-## Option 1 - Directly on Apple silicon
+## Option A - On a Linux container with Docker for Apple silicon
+You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
+
+### Prerequisites
+[Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#install-2)  
+On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.  
+
+Create a Docker volume for the downloaded model file
+```
+docker volume create my-vol
+```
+
+Populate the volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
+```Shell
+docker create --platform linux/arm64 --name dummy --mount source=my-vol,target=/data alpine # or arm64v8/alpine
+
+# Copy the model file to the Docker volume. We'll need it at run time.
+cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
+docker cp sd-v1-4.ckpt dummy:/data
+```
+
+### Setup
+```Shell
+# Set the fork you want to use.
+GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
+
+git clone $GITHUB_STABLE_DIFFUSION
+cd stable-diffusion
+chmod +x entrypoint.sh
+# download the Miniconda installer. We'll need it at build time.
+wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
+```
+
+Build the Docker image. Give it any tag ```-t``` that you want.  
+Tip: Make sure your shell session has the env variable set (above) with ```echo $GITHUB_STABLE_DIFFUSION```.
+```Shell
+docker build -t santisbon/stable-diffusion \
+--build-arg gsd=$GITHUB_STABLE_DIFFUSION \
+--build-arg sdreq="requirements-linux-arm64.txt" \
+.
+```
+
+Run a container using your built image e.g.
+```Shell
+docker run -it \
+--rm \
+--platform linux/arm64 \
+--name stable-diffusion \
+--hostname stable-diffusion \
+--mount source=my-vol,target=/data \
+--expose 9090 \
+--publish 9090:9090 \
+santisbon/stable-diffusion
+```
+Tip: Make sure you've created the Docker volume (above)
+
+## Option B - Directly on Apple silicon
 For Mac M1/M2. Read more about [Metal Performance Shaders (MPS) framework](https://developer.apple.com/documentation/metalperformanceshaders).
 
 ### Prerequisites
@@ -40,7 +95,7 @@ conda init zsh && source ~/.zshrc # or bash and .bashrc
 
 ```Shell
 # Set the fork you want to use.
-GITHUB_STABLE_DIFFUSION=https://github.com/santisbon/stable-diffusion.git
+GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
 
 git clone $GITHUB_STABLE_DIFFUSION
 cd stable-diffusion
@@ -53,8 +108,8 @@ ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
 
 # When path exists, pip3 will (w)ipe. 
 # restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
-PIP_EXISTS_ACTION=w
-CONDA_SUBDIR=osx-arm64
+PIP_EXISTS_ACTION="w"
+CONDA_SUBDIR="osx-arm64"
 conda env create -f environment-mac.yaml && conda activate ldm
 ```
 
@@ -63,92 +118,15 @@ You can verify you're in the virtual environment by looking at which executable
 type python3
 ```
 
-Only need to do this once:
+Face Restoration and Upscaling 
 ```Shell
-python3 scripts/preload_models.py
-```
-
-## Option 2 - On a Linux container with Docker for Apple silicon
-You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
-
-### Prerequisites
-[Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#install-2)  
-On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.  
-
-Create a Docker volume for the downloaded model file
-```
-docker volume create my-vol
-```
-
-Populate the volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
-```Shell
-docker create --platform linux/arm64 --name dummy --mount source=my-vol,target=/data alpine # or arm64v8/alpine
-cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
-docker cp sd-v1-4.ckpt dummy:/data
-```
-
-### Setup
-Start a container for Stable Diffusion. The container's 9090 port is mapped to the host's 80. That way you'll be able to use the Web interface from your Mac.
-```Shell
-docker run -it \
---platform linux/arm64 \
---name stable-diffusion \
---hostname stable-diffusion \
---mount source=my-vol,target=/data \
---expose 9090 \
---publish 80:9090 \
-debian
-# or arm64v8/debian
-```
-
-You're now on the container.
-```Shell
-# Set the fork you want to use
-GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git" \
-&& apt update && apt upgrade -y \
-&& apt install -y \
-git \
-pip \
-python3 \
-wget
-
-# you won't need to close and reopen your terminal after this because we'll source our .<shell>rc file
-cd /data && wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
-&& chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc
-
-cd / && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion 
-
-# When path exists, pip3 will (w)ipe. 
-# restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
-PIP_EXISTS_ACTION=w 
-CONDA_SUBDIR=osx-arm64 
-
-# Create the environment, activate it, install requirements.
-conda create -y --name ldm && conda activate ldm \
-&& pip3 install -r requirements-linux-arm64.txt 
-
-# Only need to do this once (ok twice if you decide to add face restoration and upscaling):
-python3 scripts/preload_models.py
-
-mkdir -p models/ldm/stable-diffusion-v1 \
-&& chown root:root /data/sd-v1-4.ckpt \
-&& ln -sf /data/sd-v1-4.ckpt models/ldm/stable-diffusion-v1/model.ckpt
-```
-
-## [Optional] Face Restoration and Upscaling 
-Whether you're directly on macOS or a Linux container.
-
-### Setup
-```Shell
-# If you're on a Linux container
-apt install -y libgl1-mesa-glx libglib2.0-0
 
 # by default expected in a sibling directory to stable-diffusion
 cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
 
 # basicsr: used for training and inference. facexlib: face detection / face restoration helper.
-pip3 install basicsr facexlib 
-pip3 install -r requirements.txt
+pip3 install basicsr facexlib \
+&& pip3 install -r requirements.txt
 
 python3 setup.py develop
 pip3 install realesrgan # to enhance the background (non-face) regions and do upscaling
@@ -156,24 +134,26 @@ pip3 install realesrgan # to enhance the background (non-face) regions and do up
 wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
 
 cd ../stable-diffusion
-# if we don't preload models it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
-python3 scripts/preload_models.py 
 ```
 
+Only need to do this once. If we don't preload models it will download model files from the Internet when you run ```dream.py```.
+```Shell
+python3 scripts/preload_models.py
+```
 
-# Usage
+# Step 3 - Usage (time to have fun)
 
 ## Startup
+If you're on a Linux container the ```dream``` script is automatically started and the output dir set to the Docker volume you created earlier. 
+
+If you're directly on macOS follow these startup instructions.  
 With the Conda environment activated (```conda activate ldm```), run the interactive interface that combines the functionality of the original scripts txt2img and img2img:
 Use the more accurate but VRAM-intensive full precision math because half-precision requires autocast and won't work.
 
-By default the images are saved in ```outputs/img-samples/```.  
-If you're on a docker container set the output dir to the Docker volume you created. 
 ```Shell
 # If on Macbook
 python3 scripts/dream.py --full_precision
-# If on Linux container
-python3 scripts/dream.py --full_precision -o /data 
+# By default the images are saved in outputs/img-samples/.  
 ```
 
 You'll get the script's prompt. You can see available options or quit.
@@ -183,7 +163,7 @@ dream> q
 ```
 
 ## Text to Image
-For quick (but very rough) results test with 5 steps (default 50) and 1 sample image. This will let you know that everything is set up correctly.  
+For quick (but bad) image results test with 5 steps (default 50) and 1 sample image. This will let you know that everything is set up correctly.  
 Then increase steps to 100 or more for good (but slower) results.  
 The prompt can be in quotes or not.
 ```Shell
@@ -194,11 +174,11 @@ dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.75
 # TODO: example for upscaling.
 ```
 You'll need to experiment to see if face restoration is making it better or worse for your specific prompt.
-The -U option for upscaling has an [Issue](https://github.com/lstein/stable-diffusion/issues/297) on Mac.  
+The -U option for upscaling has an [Issue](https://github.com/lstein/stable-diffusion/issues/297).  
 
-If you're on a container and set the output to the Docker volume (or moved it there with ```mv outputs/img-samples/ /data/```) you can copy it wherever you want.  
+If you're on a container the output is set to the Docker volume. You can copy it wherever you want.  
 You can download it from the Docker Desktop app, Volumes, my-vol, data.  
-Or you can copy it from your terminal. Keep in mind ```docker cp``` can't expand ```*.png``` so you'll need to specify the image file name:
+Or you can copy it from your Mac terminal. Keep in mind ```docker cp``` can't expand ```*.png``` so you'll need to specify the image file name:
 ```Shell
 # On your host Macbook (you can use the name of any container that mounted the volume)
 docker cp dummy:/data/000001.928403745.png /Users/<your-user>/Pictures 
diff --git a/entrypoint.sh b/entrypoint.sh
index 26967ab8ae..c7cc9af8d3 100755
--- a/entrypoint.sh
+++ b/entrypoint.sh
@@ -1,8 +1,10 @@
 #!/bin/bash
 ln -sf /data/sd-v1-4.ckpt /stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt
+cd /stable-diffusion
+conda activate ldm
 
 if [ $# -eq 0 ]; then
-    python3 /stable-diffusion/scripts/dream.py --full_precision -o /data 
+    python3 scripts/dream.py --full_precision -o /data 
 else
-    python3 /stable-diffusion/scripts/dream.py --full_precision -o /data "$@"
+    python3 scripts/dream.py --full_precision -o /data "$@"
 fi

From 5cbea51f3185cc42db9708b2ab7a88191695bcb8 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sat, 10 Sep 2022 12:38:31 -0500
Subject: [PATCH 012/110] Initial version of Dockerfile and entreypoint

---
 Dockerfile    | 50 ++++++++++++++++++++++++++++++++++++++++++++++++++
 entrypoint.sh |  8 ++++++++
 2 files changed, 58 insertions(+)
 create mode 100644 Dockerfile
 create mode 100755 entrypoint.sh

diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 0000000000..59382247fb
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,50 @@
+FROM        arm64v8/debian 
+MAINTAINER  Armando C. Santisbon
+
+ARG         gsd
+ENV         GITHUB_STABLE_DIFFUSION $gsd
+
+ARG         sdreq="requirements-linux-arm64.txt"
+ENV         SD_REQ $sdreq
+
+WORKDIR     /
+COPY        entrypoint.sh anaconda.sh .
+SHELL       ["/bin/bash", "-c"]
+
+RUN         apt update && apt upgrade -y \
+            && apt install -y \
+            git \
+            pip \
+            python3 \
+            wget \
+            # install Anaconda or Miniconda
+            && chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc \
+            && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion \
+            # When path exists, pip3 will (w)ipe. 
+            && PIP_EXISTS_ACTION="w" \
+            # restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
+            && CONDA_SUBDIR="osx-arm64" \
+            # Create the environment, activate it, install requirements.
+            && conda create -y --name ldm && conda activate ldm \
+            && pip3 install -r $SD_REQ \
+            
+            # Only need to do this once (we'll do it after we add face restoration and upscaling):
+            # && python3 scripts/preload_models.py \
+            
+            && mkdir models/ldm/stable-diffusion-v1 \
+            # [Optional] Face Restoration and Upscaling 
+            && apt install -y libgl1-mesa-glx libglib2.0-0 \
+            # by default expected in a sibling directory to stable-diffusion
+            && cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN \
+            && pip3 install basicsr facexlib \
+            && pip3 install -r requirements.txt \
+            && python3 setup.py develop \
+            # to enhance the background (non-face) regions and do upscaling
+            && pip3 install realesrgan \
+            # pre-trained model needed for face restoration
+            && wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models \
+            && cd ../stable-diffusion \
+            # if we don't preload models it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
+            && python3 scripts/preload_models.py 
+
+ENTRYPOINT ["/entrypoint.sh"]
diff --git a/entrypoint.sh b/entrypoint.sh
new file mode 100755
index 0000000000..26967ab8ae
--- /dev/null
+++ b/entrypoint.sh
@@ -0,0 +1,8 @@
+#!/bin/bash
+ln -sf /data/sd-v1-4.ckpt /stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt
+
+if [ $# -eq 0 ]; then
+    python3 /stable-diffusion/scripts/dream.py --full_precision -o /data 
+else
+    python3 /stable-diffusion/scripts/dream.py --full_precision -o /data "$@"
+fi

From 7136603604ed02c4732d5514004a5f0be70f3ab5 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sat, 10 Sep 2022 12:42:05 -0500
Subject: [PATCH 013/110] Ignore Anaconda/Miniconda installer used during
 Docker build

---
 .gitignore | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.gitignore b/.gitignore
index fd75e65a48..bbb6fc20ee 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,6 +2,9 @@
 outputs/
 models/ldm/stable-diffusion-v1/model.ckpt
 
+# ignore the Anaconda/Miniconda installer used while building Docker image
+anaconda.sh
+
 # ignore a directory which serves as a place for initial images
 inputs/
 

From b656d333de9019739daaeb85b3a14172513fcae8 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sat, 10 Sep 2022 13:56:18 -0500
Subject: [PATCH 014/110] Add entrypoint and update documentation

---
 README-Mac-Docker.md | 186 +++++++++++++++++++------------------------
 entrypoint.sh        |   6 +-
 2 files changed, 87 insertions(+), 105 deletions(-)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index 503fe7f442..eda202152c 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -2,29 +2,84 @@
 Table of Contents
 =================
 
-* [Installation](#installation)
-   * [Option 1 - Directly on Apple silicon](#option-1---directly-on-apple-silicon)
+* [Step 1 - Get the Model](#step-1---get-the-model)
+* [Step 2 - Installation](#step-2---installation)
+   * [Option A - On a Linux container with Docker for Apple silicon](#option-a---on-a-linux-container-with-docker-for-apple-silicon)
       * [Prerequisites](#prerequisites)
       * [Setup](#setup)
-   * [Option 2 - On a Linux container with Docker for Apple silicon](#option-2---on-a-linux-container-with-docker-for-apple-silicon)
+   * [Option B - Directly on Apple silicon](#option-b---directly-on-apple-silicon)
       * [Prerequisites](#prerequisites-1)
       * [Setup](#setup-1)
-   * [[Optional] Face Restoration and Upscaling](#optional-face-restoration-and-upscaling)
-      * [Setup](#setup-2)
-* [Usage](#usage)
+* [Step 3 - Usage (time to have fun)](#step-3---usage-time-to-have-fun)
    * [Startup](#startup)
    * [Text to Image](#text-to-image)
    * [Image to Image](#image-to-image)
    * [Web Interface](#web-interface)
    * [Notes](#notes)
 
-
+# Step 1 - Get the Model
 Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
 You'll need to create an account but it's quick and free.
 
-# Installation
+# Step 2 - Installation
 
-## Option 1 - Directly on Apple silicon
+## Option A - On a Linux container with Docker for Apple silicon
+You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
+
+### Prerequisites
+[Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#install-2)  
+On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.  
+
+Create a Docker volume for the downloaded model file
+```
+docker volume create my-vol
+```
+
+Populate the volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
+```Shell
+docker create --platform linux/arm64 --name dummy --mount source=my-vol,target=/data alpine # or arm64v8/alpine
+
+# Copy the model file to the Docker volume. We'll need it at run time.
+cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
+docker cp sd-v1-4.ckpt dummy:/data
+```
+
+### Setup
+```Shell
+# Set the fork you want to use.
+GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
+
+git clone $GITHUB_STABLE_DIFFUSION
+cd stable-diffusion
+chmod +x entrypoint.sh
+# download the Miniconda installer. We'll need it at build time.
+wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
+```
+
+Build the Docker image. Give it any tag ```-t``` that you want.  
+Tip: Make sure your shell session has the env variable set (above) with ```echo $GITHUB_STABLE_DIFFUSION```.
+```Shell
+docker build -t santisbon/stable-diffusion \
+--build-arg gsd=$GITHUB_STABLE_DIFFUSION \
+--build-arg sdreq="requirements-linux-arm64.txt" \
+.
+```
+
+Run a container using your built image e.g.
+```Shell
+docker run -it \
+--rm \
+--platform linux/arm64 \
+--name stable-diffusion \
+--hostname stable-diffusion \
+--mount source=my-vol,target=/data \
+--expose 9090 \
+--publish 9090:9090 \
+santisbon/stable-diffusion
+```
+Tip: Make sure you've created the Docker volume (above)
+
+## Option B - Directly on Apple silicon
 For Mac M1/M2. Read more about [Metal Performance Shaders (MPS) framework](https://developer.apple.com/documentation/metalperformanceshaders).
 
 ### Prerequisites
@@ -40,7 +95,7 @@ conda init zsh && source ~/.zshrc # or bash and .bashrc
 
 ```Shell
 # Set the fork you want to use.
-GITHUB_STABLE_DIFFUSION=https://github.com/santisbon/stable-diffusion.git
+GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
 
 git clone $GITHUB_STABLE_DIFFUSION
 cd stable-diffusion
@@ -53,8 +108,8 @@ ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
 
 # When path exists, pip3 will (w)ipe. 
 # restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
-PIP_EXISTS_ACTION=w
-CONDA_SUBDIR=osx-arm64
+PIP_EXISTS_ACTION="w"
+CONDA_SUBDIR="osx-arm64"
 conda env create -f environment-mac.yaml && conda activate ldm
 ```
 
@@ -63,92 +118,15 @@ You can verify you're in the virtual environment by looking at which executable
 type python3
 ```
 
-Only need to do this once:
+Face Restoration and Upscaling 
 ```Shell
-python3 scripts/preload_models.py
-```
-
-## Option 2 - On a Linux container with Docker for Apple silicon
-You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
-
-### Prerequisites
-[Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#install-2)  
-On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.  
-
-Create a Docker volume for the downloaded model file
-```
-docker volume create my-vol
-```
-
-Populate the volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
-```Shell
-docker create --platform linux/arm64 --name dummy --mount source=my-vol,target=/data alpine # or arm64v8/alpine
-cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
-docker cp sd-v1-4.ckpt dummy:/data
-```
-
-### Setup
-Start a container for Stable Diffusion. The container's 9090 port is mapped to the host's 80. That way you'll be able to use the Web interface from your Mac.
-```Shell
-docker run -it \
---platform linux/arm64 \
---name stable-diffusion \
---hostname stable-diffusion \
---mount source=my-vol,target=/data \
---expose 9090 \
---publish 80:9090 \
-debian
-# or arm64v8/debian
-```
-
-You're now on the container.
-```Shell
-# Set the fork you want to use
-GITHUB_STABLE_DIFFUSION="-b docker-apple-silicon https://github.com/santisbon/stable-diffusion.git" \
-&& apt update && apt upgrade -y \
-&& apt install -y \
-git \
-pip \
-python3 \
-wget
-
-# you won't need to close and reopen your terminal after this because we'll source our .<shell>rc file
-cd /data && wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
-&& chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc
-
-cd / && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion 
-
-# When path exists, pip3 will (w)ipe. 
-# restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
-PIP_EXISTS_ACTION=w 
-CONDA_SUBDIR=osx-arm64 
-
-# Create the environment, activate it, install requirements.
-conda create -y --name ldm && conda activate ldm \
-&& pip3 install -r requirements-linux-arm64.txt 
-
-# Only need to do this once (ok twice if you decide to add face restoration and upscaling):
-python3 scripts/preload_models.py
-
-mkdir -p models/ldm/stable-diffusion-v1 \
-&& chown root:root /data/sd-v1-4.ckpt \
-&& ln -sf /data/sd-v1-4.ckpt models/ldm/stable-diffusion-v1/model.ckpt
-```
-
-## [Optional] Face Restoration and Upscaling 
-Whether you're directly on macOS or a Linux container.
-
-### Setup
-```Shell
-# If you're on a Linux container
-apt install -y libgl1-mesa-glx libglib2.0-0
 
 # by default expected in a sibling directory to stable-diffusion
 cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
 
 # basicsr: used for training and inference. facexlib: face detection / face restoration helper.
-pip3 install basicsr facexlib 
-pip3 install -r requirements.txt
+pip3 install basicsr facexlib \
+&& pip3 install -r requirements.txt
 
 python3 setup.py develop
 pip3 install realesrgan # to enhance the background (non-face) regions and do upscaling
@@ -156,24 +134,26 @@ pip3 install realesrgan # to enhance the background (non-face) regions and do up
 wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
 
 cd ../stable-diffusion
-# if we don't preload models it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
-python3 scripts/preload_models.py 
 ```
 
+Only need to do this once. If we don't preload models it will download model files from the Internet when you run ```dream.py```.
+```Shell
+python3 scripts/preload_models.py
+```
 
-# Usage
+# Step 3 - Usage (time to have fun)
 
 ## Startup
+If you're on a Linux container the ```dream``` script is automatically started and the output dir set to the Docker volume you created earlier. 
+
+If you're directly on macOS follow these startup instructions.  
 With the Conda environment activated (```conda activate ldm```), run the interactive interface that combines the functionality of the original scripts txt2img and img2img:
 Use the more accurate but VRAM-intensive full precision math because half-precision requires autocast and won't work.
 
-By default the images are saved in ```outputs/img-samples/```.  
-If you're on a docker container set the output dir to the Docker volume you created. 
 ```Shell
 # If on Macbook
 python3 scripts/dream.py --full_precision
-# If on Linux container
-python3 scripts/dream.py --full_precision -o /data 
+# By default the images are saved in outputs/img-samples/.  
 ```
 
 You'll get the script's prompt. You can see available options or quit.
@@ -183,7 +163,7 @@ dream> q
 ```
 
 ## Text to Image
-For quick (but very rough) results test with 5 steps (default 50) and 1 sample image. This will let you know that everything is set up correctly.  
+For quick (but bad) image results test with 5 steps (default 50) and 1 sample image. This will let you know that everything is set up correctly.  
 Then increase steps to 100 or more for good (but slower) results.  
 The prompt can be in quotes or not.
 ```Shell
@@ -194,11 +174,11 @@ dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.75
 # TODO: example for upscaling.
 ```
 You'll need to experiment to see if face restoration is making it better or worse for your specific prompt.
-The -U option for upscaling has an [Issue](https://github.com/lstein/stable-diffusion/issues/297) on Mac.  
+The -U option for upscaling has an [Issue](https://github.com/lstein/stable-diffusion/issues/297).  
 
-If you're on a container and set the output to the Docker volume (or moved it there with ```mv outputs/img-samples/ /data/```) you can copy it wherever you want.  
+If you're on a container the output is set to the Docker volume. You can copy it wherever you want.  
 You can download it from the Docker Desktop app, Volumes, my-vol, data.  
-Or you can copy it from your terminal. Keep in mind ```docker cp``` can't expand ```*.png``` so you'll need to specify the image file name:
+Or you can copy it from your Mac terminal. Keep in mind ```docker cp``` can't expand ```*.png``` so you'll need to specify the image file name:
 ```Shell
 # On your host Macbook (you can use the name of any container that mounted the volume)
 docker cp dummy:/data/000001.928403745.png /Users/<your-user>/Pictures 
diff --git a/entrypoint.sh b/entrypoint.sh
index 26967ab8ae..c7cc9af8d3 100755
--- a/entrypoint.sh
+++ b/entrypoint.sh
@@ -1,8 +1,10 @@
 #!/bin/bash
 ln -sf /data/sd-v1-4.ckpt /stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt
+cd /stable-diffusion
+conda activate ldm
 
 if [ $# -eq 0 ]; then
-    python3 /stable-diffusion/scripts/dream.py --full_precision -o /data 
+    python3 scripts/dream.py --full_precision -o /data 
 else
-    python3 /stable-diffusion/scripts/dream.py --full_precision -o /data "$@"
+    python3 scripts/dream.py --full_precision -o /data "$@"
 fi

From 529fc57f2bd22b742011823887de47e27e0716af Mon Sep 17 00:00:00 2001
From: Mihai <299015+mh-dm@users.noreply.github.com>
Date: Sat, 10 Sep 2022 16:58:07 +0300
Subject: [PATCH 015/110] ~7% speedup (1.57 to 1.69it/s) from switch to += in
 ldm.modules.attention. (#482)

Tested on 8GB eGPU nvidia setup so YMMV.
512x512 output, max VRAM stays same.
---
 ldm/modules/attention.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/ldm/modules/attention.py b/ldm/modules/attention.py
index 817e9bcdc4..24aef29279 100644
--- a/ldm/modules/attention.py
+++ b/ldm/modules/attention.py
@@ -235,9 +235,9 @@ class BasicTransformerBlock(nn.Module):
 
     def _forward(self, x, context=None):
         x = x.contiguous() if x.device.type == 'mps' else x
-        x = self.attn1(self.norm1(x)) + x
-        x = self.attn2(self.norm2(x), context=context) + x
-        x = self.ff(self.norm3(x)) + x
+        x += self.attn1(self.norm1(x))
+        x += self.attn2(self.norm2(x), context=context)
+        x += self.ff(self.norm3(x))
         return x
 
 

From 9775a3502c6a3c3312a22b252a47301037dc8308 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sat, 10 Sep 2022 15:29:44 -0500
Subject: [PATCH 016/110] Fix documentation link

---
 README-Mac-Docker.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index eda202152c..b8b1bfd24b 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -27,7 +27,7 @@ You'll need to create an account but it's quick and free.
 You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
 
 ### Prerequisites
-[Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#install-2)  
+[Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#docker)  
 On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.  
 
 Create a Docker volume for the downloaded model file

From eceb7d2b54b53b3bd7b64a0c1d1815928a031e04 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <3804335+santisbon@users.noreply.github.com>
Date: Sat, 10 Sep 2022 18:52:12 -0500
Subject: [PATCH 017/110] [Documentation] Clarify path to use

---
 README-Mac-Docker.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index b8b1bfd24b..0f53742b6c 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -49,6 +49,7 @@ docker cp sd-v1-4.ckpt dummy:/data
 # Set the fork you want to use.
 GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
 
+cd ~
 git clone $GITHUB_STABLE_DIFFUSION
 cd stable-diffusion
 chmod +x entrypoint.sh

From 336e16ef85e8b8e1983634f2bb01f71f1925ceec Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <3804335+santisbon@users.noreply.github.com>
Date: Sat, 10 Sep 2022 19:31:39 -0500
Subject: [PATCH 018/110] [Documentation] Fix typo

---
 README-Mac-Docker.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index 0f53742b6c..7541360a7c 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -54,7 +54,7 @@ git clone $GITHUB_STABLE_DIFFUSION
 cd stable-diffusion
 chmod +x entrypoint.sh
 # download the Miniconda installer. We'll need it at build time.
-wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh \
+wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh 
 ```
 
 Build the Docker image. Give it any tag ```-t``` that you want.  

From eeff8e903341c7e9fa9eba4d2e682050edcb34d8 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sat, 10 Sep 2022 22:45:08 -0500
Subject: [PATCH 019/110] [Documentation] Add +x permissions to miniconda
 installer

---
 README-Mac-Docker.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index 7541360a7c..be2e837c54 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -54,7 +54,7 @@ git clone $GITHUB_STABLE_DIFFUSION
 cd stable-diffusion
 chmod +x entrypoint.sh
 # download the Miniconda installer. We'll need it at build time.
-wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh 
+wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh && chmod +x anaconda.sh
 ```
 
 Build the Docker image. Give it any tag ```-t``` that you want.  

From e21938c12d94f8288aba69df9982013e463af461 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sun, 11 Sep 2022 02:04:11 -0500
Subject: [PATCH 020/110] Remove unnecesary chmod from Dockerfile to avoid
 bloating

---
 Dockerfile | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile b/Dockerfile
index 59382247fb..7258b4a620 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -18,7 +18,7 @@ RUN         apt update && apt upgrade -y \
             python3 \
             wget \
             # install Anaconda or Miniconda
-            && chmod +x anaconda.sh && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc \
+            && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc \
             && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion \
             # When path exists, pip3 will (w)ipe. 
             && PIP_EXISTS_ACTION="w" \

From da95729d900b7e8e62423361d6ac3d40c2716dfc Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sun, 11 Sep 2022 09:47:54 -0500
Subject: [PATCH 021/110] Refactor docker build and move docker assets to their
 own folder

---
 Dockerfile                                  | 50 ----------------
 README-Mac-Docker.md                        |  5 +-
 docker-build/Dockerfile                     | 63 +++++++++++++++++++++
 entrypoint.sh => docker-build/entrypoint.sh |  0
 4 files changed, 66 insertions(+), 52 deletions(-)
 delete mode 100644 Dockerfile
 create mode 100644 docker-build/Dockerfile
 rename entrypoint.sh => docker-build/entrypoint.sh (100%)

diff --git a/Dockerfile b/Dockerfile
deleted file mode 100644
index 7258b4a620..0000000000
--- a/Dockerfile
+++ /dev/null
@@ -1,50 +0,0 @@
-FROM        arm64v8/debian 
-MAINTAINER  Armando C. Santisbon
-
-ARG         gsd
-ENV         GITHUB_STABLE_DIFFUSION $gsd
-
-ARG         sdreq="requirements-linux-arm64.txt"
-ENV         SD_REQ $sdreq
-
-WORKDIR     /
-COPY        entrypoint.sh anaconda.sh .
-SHELL       ["/bin/bash", "-c"]
-
-RUN         apt update && apt upgrade -y \
-            && apt install -y \
-            git \
-            pip \
-            python3 \
-            wget \
-            # install Anaconda or Miniconda
-            && bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash && source ~/.bashrc \
-            && git clone $GITHUB_STABLE_DIFFUSION && cd stable-diffusion \
-            # When path exists, pip3 will (w)ipe. 
-            && PIP_EXISTS_ACTION="w" \
-            # restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
-            && CONDA_SUBDIR="osx-arm64" \
-            # Create the environment, activate it, install requirements.
-            && conda create -y --name ldm && conda activate ldm \
-            && pip3 install -r $SD_REQ \
-            
-            # Only need to do this once (we'll do it after we add face restoration and upscaling):
-            # && python3 scripts/preload_models.py \
-            
-            && mkdir models/ldm/stable-diffusion-v1 \
-            # [Optional] Face Restoration and Upscaling 
-            && apt install -y libgl1-mesa-glx libglib2.0-0 \
-            # by default expected in a sibling directory to stable-diffusion
-            && cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN \
-            && pip3 install basicsr facexlib \
-            && pip3 install -r requirements.txt \
-            && python3 setup.py develop \
-            # to enhance the background (non-face) regions and do upscaling
-            && pip3 install realesrgan \
-            # pre-trained model needed for face restoration
-            && wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models \
-            && cd ../stable-diffusion \
-            # if we don't preload models it will download model files from the Internet the first time you run dream.py with GFPGAN and Real-ESRGAN turned on.
-            && python3 scripts/preload_models.py 
-
-ENTRYPOINT ["/entrypoint.sh"]
diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index be2e837c54..b2f9a93a8d 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -51,7 +51,8 @@ GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
 
 cd ~
 git clone $GITHUB_STABLE_DIFFUSION
-cd stable-diffusion
+
+cd stable-diffusion/docker-build
 chmod +x entrypoint.sh
 # download the Miniconda installer. We'll need it at build time.
 wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh && chmod +x anaconda.sh
@@ -137,7 +138,7 @@ wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pt
 cd ../stable-diffusion
 ```
 
-Only need to do this once. If we don't preload models it will download model files from the Internet when you run ```dream.py```.
+Only need to do this once. If we don't preload models it will download model files from the Internet when you run ```dream.py```. Used by the core functionality and by GFPGAN/Real-ESRGAN.
 ```Shell
 python3 scripts/preload_models.py
 ```
diff --git a/docker-build/Dockerfile b/docker-build/Dockerfile
new file mode 100644
index 0000000000..3f4a8a0160
--- /dev/null
+++ b/docker-build/Dockerfile
@@ -0,0 +1,63 @@
+FROM        arm64v8/debian 
+
+ARG         gsd
+ENV         GITHUB_STABLE_DIFFUSION $gsd
+ARG         sdreq="requirements-linux-arm64.txt"
+ENV         SD_REQ $sdreq
+
+WORKDIR     /
+
+COPY        entrypoint.sh anaconda.sh .
+SHELL       ["/bin/bash", "-c"]
+
+# Update and apt
+RUN         apt update && apt upgrade -y \
+            && apt install -y \
+            git \
+            pip \
+            python3 \
+            wget 
+
+# install Anaconda or Miniconda
+RUN         bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash
+
+# SD repo
+RUN         git clone $GITHUB_STABLE_DIFFUSION 
+
+WORKDIR     /stable-diffusion 
+
+# SD env
+RUN         PIP_EXISTS_ACTION="w" \
+            # restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
+            && CONDA_SUBDIR="osx-arm64" \
+            # Create the environment, activate it, install requirements.
+            && source ~/.bashrc && conda create -y --name ldm && conda activate ldm \
+            && pip3 install -r $SD_REQ \                     
+            && mkdir models/ldm/stable-diffusion-v1 
+
+# Face restoration prerequisites
+RUN         apt install -y libgl1-mesa-glx libglib2.0-0 
+            # by default expected in a sibling directory to stable-diffusion
+
+WORKDIR     /       
+
+# Face restoreation repo
+RUN         git clone https://github.com/TencentARC/GFPGAN.git 
+
+WORKDIR     /GFPGAN 
+
+# Face restoration env
+RUN         pip3 install basicsr facexlib \
+            && pip3 install -r requirements.txt \
+            && python3 setup.py develop \
+            # to enhance the background (non-face) regions and do upscaling
+            && pip3 install realesrgan \
+            # pre-trained model needed for face restoration
+            && wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models 
+
+WORKDIR     /stable-diffusion 
+
+# Preload models
+RUN         python3 scripts/preload_models.py         
+
+ENTRYPOINT ["/entrypoint.sh"]
diff --git a/entrypoint.sh b/docker-build/entrypoint.sh
similarity index 100%
rename from entrypoint.sh
rename to docker-build/entrypoint.sh

From 19fb66f3d55c2b4b672f148f61417ab0d4e42ee3 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sun, 11 Sep 2022 11:03:33 -0500
Subject: [PATCH 022/110] Add comments on next steps

---
 docker-build/Dockerfile | 20 +++++++++++---------
 1 file changed, 11 insertions(+), 9 deletions(-)

diff --git a/docker-build/Dockerfile b/docker-build/Dockerfile
index 3f4a8a0160..3f57b14e18 100644
--- a/docker-build/Dockerfile
+++ b/docker-build/Dockerfile
@@ -7,10 +7,12 @@ ENV         SD_REQ $sdreq
 
 WORKDIR     /
 
+# TODO: Optimize image size
+
 COPY        entrypoint.sh anaconda.sh .
 SHELL       ["/bin/bash", "-c"]
 
-# Update and apt
+# Update and apt 446 MB
 RUN         apt update && apt upgrade -y \
             && apt install -y \
             git \
@@ -18,15 +20,15 @@ RUN         apt update && apt upgrade -y \
             python3 \
             wget 
 
-# install Anaconda or Miniconda
+# install Anaconda or Miniconda 610 MB
 RUN         bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash
 
-# SD repo
+# SD repo 105 MB
 RUN         git clone $GITHUB_STABLE_DIFFUSION 
 
 WORKDIR     /stable-diffusion 
 
-# SD env
+# SD env 2.3 GB !!!
 RUN         PIP_EXISTS_ACTION="w" \
             # restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
             && CONDA_SUBDIR="osx-arm64" \
@@ -35,18 +37,18 @@ RUN         PIP_EXISTS_ACTION="w" \
             && pip3 install -r $SD_REQ \                     
             && mkdir models/ldm/stable-diffusion-v1 
 
-# Face restoration prerequisites
+# Face restoration prerequisites 200 MB
 RUN         apt install -y libgl1-mesa-glx libglib2.0-0 
-            # by default expected in a sibling directory to stable-diffusion
 
 WORKDIR     /       
 
-# Face restoreation repo
+# Face restoreation repo 12 MB
+# by default expected in a sibling directory to stable-diffusion
 RUN         git clone https://github.com/TencentARC/GFPGAN.git 
 
 WORKDIR     /GFPGAN 
 
-# Face restoration env
+# Face restoration env 608 MB
 RUN         pip3 install basicsr facexlib \
             && pip3 install -r requirements.txt \
             && python3 setup.py develop \
@@ -57,7 +59,7 @@ RUN         pip3 install basicsr facexlib \
 
 WORKDIR     /stable-diffusion 
 
-# Preload models
+# Preload models 2 GB
 RUN         python3 scripts/preload_models.py         
 
 ENTRYPOINT ["/entrypoint.sh"]

From 585b47fdd1d28b8e566d5fa9486d5a79d5b75aa4 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sun, 11 Sep 2022 15:36:09 -0500
Subject: [PATCH 023/110] Docker platform now configurable. No longer
 Mac-specific

---
 README-Mac-Docker.md    | 11 ++++++++---
 docker-build/Dockerfile | 11 +++++++----
 2 files changed, 15 insertions(+), 7 deletions(-)

diff --git a/README-Mac-Docker.md b/README-Mac-Docker.md
index b2f9a93a8d..3c8d907807 100644
--- a/README-Mac-Docker.md
+++ b/README-Mac-Docker.md
@@ -4,7 +4,7 @@ Table of Contents
 
 * [Step 1 - Get the Model](#step-1---get-the-model)
 * [Step 2 - Installation](#step-2---installation)
-   * [Option A - On a Linux container with Docker for Apple silicon](#option-a---on-a-linux-container-with-docker-for-apple-silicon)
+   * [Option A - On a Linux container with Docker](#option-a---on-a-linux-container-with-docker-for-apple-silicon)
       * [Prerequisites](#prerequisites)
       * [Setup](#setup)
    * [Option B - Directly on Apple silicon](#option-b---directly-on-apple-silicon)
@@ -23,7 +23,8 @@ You'll need to create an account but it's quick and free.
 
 # Step 2 - Installation
 
-## Option A - On a Linux container with Docker for Apple silicon
+## Option A - On a Linux container 
+This example uses a Mac M2 but you can specify the platform and architecture as parameters when building the image and running the container.  
 You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
 
 ### Prerequisites
@@ -59,9 +60,13 @@ wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O a
 ```
 
 Build the Docker image. Give it any tag ```-t``` that you want.  
-Tip: Make sure your shell session has the env variable set (above) with ```echo $GITHUB_STABLE_DIFFUSION```.
+Tip: Check that your shell session has the env variable set (above) with ```echo $GITHUB_STABLE_DIFFUSION```.  
+Base image will be arm64v8/debian on a macOS host.  
+```condaarch``` will restrict the conda environment to the right architecture when installing packages. It can take on: ```linux-64```, ```osx-64```, ```osx-arm64```. M1/M2 is ARM-based. On macOS you could also conda install ```nomkl``` but setting the environment appropriately is cleaner.
 ```Shell
 docker build -t santisbon/stable-diffusion \
+--platform linux/arm64 \
+--build-arg condaarch="osx-arm64" \
 --build-arg gsd=$GITHUB_STABLE_DIFFUSION \
 --build-arg sdreq="requirements-linux-arm64.txt" \
 .
diff --git a/docker-build/Dockerfile b/docker-build/Dockerfile
index 3f57b14e18..05dcb822cc 100644
--- a/docker-build/Dockerfile
+++ b/docker-build/Dockerfile
@@ -1,10 +1,14 @@
-FROM        arm64v8/debian 
+FROM        debian 
 
 ARG         gsd
 ENV         GITHUB_STABLE_DIFFUSION $gsd
+
 ARG         sdreq="requirements-linux-arm64.txt"
 ENV         SD_REQ $sdreq
 
+ARG         condaarch
+ENV         ARCH $condaarch
+
 WORKDIR     /
 
 # TODO: Optimize image size
@@ -30,10 +34,9 @@ WORKDIR     /stable-diffusion
 
 # SD env 2.3 GB !!!
 RUN         PIP_EXISTS_ACTION="w" \
-            # restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
-            && CONDA_SUBDIR="osx-arm64" \
-            # Create the environment, activate it, install requirements.
+            && CONDA_SUBDIR=$ARCH \
             && source ~/.bashrc && conda create -y --name ldm && conda activate ldm \
+            && conda config --env --set subdir $ARCH \
             && pip3 install -r $SD_REQ \                     
             && mkdir models/ldm/stable-diffusion-v1 
 

From 443a4ad87c1531b958ba94de190b2e664a80636b Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sun, 11 Sep 2022 15:57:32 -0500
Subject: [PATCH 024/110] [Documentation] Updates on Docker platform

---
 README-Mac-Docker.md => README-Docker.md | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)
 rename README-Mac-Docker.md => README-Docker.md (92%)

diff --git a/README-Mac-Docker.md b/README-Docker.md
similarity index 92%
rename from README-Mac-Docker.md
rename to README-Docker.md
index 3c8d907807..ff311b064a 100644
--- a/README-Mac-Docker.md
+++ b/README-Docker.md
@@ -4,7 +4,7 @@ Table of Contents
 
 * [Step 1 - Get the Model](#step-1---get-the-model)
 * [Step 2 - Installation](#step-2---installation)
-   * [Option A - On a Linux container with Docker](#option-a---on-a-linux-container-with-docker-for-apple-silicon)
+   * [Option A - On a Linux container](#option-a---on-a-linux-container)
       * [Prerequisites](#prerequisites)
       * [Setup](#setup)
    * [Option B - Directly on Apple silicon](#option-b---directly-on-apple-silicon)
@@ -24,8 +24,9 @@ You'll need to create an account but it's quick and free.
 # Step 2 - Installation
 
 ## Option A - On a Linux container 
-This example uses a Mac M2 but you can specify the platform and architecture as parameters when building the image and running the container.  
-You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced but for development purposes it's fine.
+This example uses a Mac M1/M2 (arm64) but you can specify the platform and architecture as parameters when building the image and running the container. It provides a reliable way to generate a build and deploy it. It also uses a Docker volume to store the largest model file as a first step in decoupling storage and compute. Future enhancements will do this for other model files and assets. The steps would be the same on an amd64 machine with NVIDIA GPUs as for an arm64 Mac; the platform is configurable.  
+
+You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced compared with running it directly on macOS but for development purposes it's fine. 
 
 ### Prerequisites
 [Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#docker)  
@@ -62,7 +63,7 @@ wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O a
 Build the Docker image. Give it any tag ```-t``` that you want.  
 Tip: Check that your shell session has the env variable set (above) with ```echo $GITHUB_STABLE_DIFFUSION```.  
 Base image will be arm64v8/debian on a macOS host.  
-```condaarch``` will restrict the conda environment to the right architecture when installing packages. It can take on: ```linux-64```, ```osx-64```, ```osx-arm64```. M1/M2 is ARM-based. On macOS you could also conda install ```nomkl``` but setting the environment appropriately is cleaner.
+```condaarch``` will restrict the conda environment to the right architecture when installing packages. It can take on: ```linux-64```, ```osx-64```, ```osx-arm64```. On macOS you could also conda install ```nomkl``` but setting the environment appropriately is cleaner.
 ```Shell
 docker build -t santisbon/stable-diffusion \
 --platform linux/arm64 \

From 3f8a289e9b24a54ecd419cfff07a964e7964b480 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sun, 11 Sep 2022 16:23:04 -0500
Subject: [PATCH 025/110] [Documentation] Clarification on which conda
 installer to use

---
 README-Docker.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README-Docker.md b/README-Docker.md
index ff311b064a..87ea047aae 100644
--- a/README-Docker.md
+++ b/README-Docker.md
@@ -56,13 +56,13 @@ git clone $GITHUB_STABLE_DIFFUSION
 
 cd stable-diffusion/docker-build
 chmod +x entrypoint.sh
-# download the Miniconda installer. We'll need it at build time.
+# Download the Miniconda installer. We'll need it at build time. 
+# Replace the URL with the version matching your system.
 wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh && chmod +x anaconda.sh
 ```
 
 Build the Docker image. Give it any tag ```-t``` that you want.  
 Tip: Check that your shell session has the env variable set (above) with ```echo $GITHUB_STABLE_DIFFUSION```.  
-Base image will be arm64v8/debian on a macOS host.  
 ```condaarch``` will restrict the conda environment to the right architecture when installing packages. It can take on: ```linux-64```, ```osx-64```, ```osx-arm64```. On macOS you could also conda install ```nomkl``` but setting the environment appropriately is cleaner.
 ```Shell
 docker build -t santisbon/stable-diffusion \

From b20f2bcd7e1c5debc234de15b5bca919ba7abdb2 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sun, 11 Sep 2022 19:09:05 -0500
Subject: [PATCH 026/110] [Documentation] Why containers?

---
 README-Docker.md | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/README-Docker.md b/README-Docker.md
index 87ea047aae..d210954c5e 100644
--- a/README-Docker.md
+++ b/README-Docker.md
@@ -5,6 +5,7 @@ Table of Contents
 * [Step 1 - Get the Model](#step-1---get-the-model)
 * [Step 2 - Installation](#step-2---installation)
    * [Option A - On a Linux container](#option-a---on-a-linux-container)
+      * [Why containers?](#why-containers)
       * [Prerequisites](#prerequisites)
       * [Setup](#setup)
    * [Option B - Directly on Apple silicon](#option-b---directly-on-apple-silicon)
@@ -17,6 +18,7 @@ Table of Contents
    * [Web Interface](#web-interface)
    * [Notes](#notes)
 
+
 # Step 1 - Get the Model
 Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
 You'll need to create an account but it's quick and free.
@@ -24,9 +26,13 @@ You'll need to create an account but it's quick and free.
 # Step 2 - Installation
 
 ## Option A - On a Linux container 
-This example uses a Mac M1/M2 (arm64) but you can specify the platform and architecture as parameters when building the image and running the container. It provides a reliable way to generate a build and deploy it. It also uses a Docker volume to store the largest model file as a first step in decoupling storage and compute. Future enhancements will do this for other model files and assets. The steps would be the same on an amd64 machine with NVIDIA GPUs as for an arm64 Mac; the platform is configurable.  
 
-You [can't access the Macbook M1/M2 GPU cores from the Docker containers](https://github.com/pytorch/pytorch/issues/81224) so performance is reduced compared with running it directly on macOS but for development purposes it's fine. 
+### Why containers?
+They provide a flexible, reliable way to build and deploy Stable Diffusion. We also use a Docker volume to store the largest model file and image outputs as a first step in decoupling storage and compute. Future enhancements will do this for other model files and assets. See [Processes](https://12factor.net/processes) under the Twelve-Factor App methodology for details on why running applications in such a stateless fashion is important.
+
+This example uses a Mac M1/M2 (arm64) but you can specify the platform and architecture as parameters when building the image and running the container.  
+
+The steps would be the same on an amd64 machine with NVIDIA GPUs as for an arm64 Mac; the platform is configurable. You [can't access the Mac M1/M2 GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224) and performance is reduced compared with running it directly on macOS but for development purposes it's fine. Once you're done with development tasks on your laptop you can build for the target platform and architecture and deploy to en environment with NVIDIA GPUs on-premises or in the cloud.
 
 ### Prerequisites
 [Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#docker)  

From c705ff5e72b5047820586688140cbc4e5e1cd176 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sun, 11 Sep 2022 19:26:42 -0500
Subject: [PATCH 027/110] [Documentation] Fix typo

---
 README-Docker.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README-Docker.md b/README-Docker.md
index d210954c5e..59cec6375b 100644
--- a/README-Docker.md
+++ b/README-Docker.md
@@ -32,7 +32,7 @@ They provide a flexible, reliable way to build and deploy Stable Diffusion. We a
 
 This example uses a Mac M1/M2 (arm64) but you can specify the platform and architecture as parameters when building the image and running the container.  
 
-The steps would be the same on an amd64 machine with NVIDIA GPUs as for an arm64 Mac; the platform is configurable. You [can't access the Mac M1/M2 GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224) and performance is reduced compared with running it directly on macOS but for development purposes it's fine. Once you're done with development tasks on your laptop you can build for the target platform and architecture and deploy to en environment with NVIDIA GPUs on-premises or in the cloud.
+The steps would be the same on an amd64 machine with NVIDIA GPUs as for an arm64 Mac; the platform is configurable. You [can't access the Mac M1/M2 GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224) and performance is reduced compared with running it directly on macOS but for development purposes it's fine. Once you're done with development tasks on your laptop you can build for the target platform and architecture and deploy to an environment with NVIDIA GPUs on-premises or in the cloud.
 
 ### Prerequisites
 [Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#docker)  

From 012c0dfdebb43c71d6c8be558e746f57c6993416 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Sun, 11 Sep 2022 22:11:34 -0500
Subject: [PATCH 028/110] [Documentation] Cleanup

---
 README-Docker.md | 80 ++++++++++++++++++++++++++----------------------
 1 file changed, 43 insertions(+), 37 deletions(-)

diff --git a/README-Docker.md b/README-Docker.md
index 59cec6375b..ce06e27105 100644
--- a/README-Docker.md
+++ b/README-Docker.md
@@ -18,7 +18,6 @@ Table of Contents
    * [Web Interface](#web-interface)
    * [Notes](#notes)
 
-
 # Step 1 - Get the Model
 Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
 You'll need to create an account but it's quick and free.
@@ -43,18 +42,18 @@ Create a Docker volume for the downloaded model file
 docker volume create my-vol
 ```
 
-Populate the volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
+Copy the model file (we'll need it at run time) to the Docker volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
 ```Shell
-docker create --platform linux/arm64 --name dummy --mount source=my-vol,target=/data alpine # or arm64v8/alpine
+docker create --platform linux/arm64 --name dummy --mount source=my-vol,target=/data alpine 
 
-# Copy the model file to the Docker volume. We'll need it at run time.
 cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
 docker cp sd-v1-4.ckpt dummy:/data
 ```
 
 ### Setup
+Set the fork you want to use.  
+Download the Miniconda installer (we'll need it at build time). Replace the URL with the version matching your system.
 ```Shell
-# Set the fork you want to use.
 GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
 
 cd ~
@@ -62,14 +61,13 @@ git clone $GITHUB_STABLE_DIFFUSION
 
 cd stable-diffusion/docker-build
 chmod +x entrypoint.sh
-# Download the Miniconda installer. We'll need it at build time. 
-# Replace the URL with the version matching your system.
+
 wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh && chmod +x anaconda.sh
 ```
 
 Build the Docker image. Give it any tag ```-t``` that you want.  
 Tip: Check that your shell session has the env variable set (above) with ```echo $GITHUB_STABLE_DIFFUSION```.  
-```condaarch``` will restrict the conda environment to the right architecture when installing packages. It can take on: ```linux-64```, ```osx-64```, ```osx-arm64```. On macOS you could also conda install ```nomkl``` but setting the environment appropriately is cleaner.
+```condaarch``` will restrict the conda environment to the right architecture when installing packages. It can take on: ```linux-64```, ```osx-64```, ```osx-arm64```.
 ```Shell
 docker build -t santisbon/stable-diffusion \
 --platform linux/arm64 \
@@ -107,8 +105,8 @@ conda init zsh && source ~/.zshrc # or bash and .bashrc
 
 ### Setup
 
+Set the fork you want to use.
 ```Shell
-# Set the fork you want to use.
 GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
 
 git clone $GITHUB_STABLE_DIFFUSION
@@ -116,15 +114,19 @@ cd stable-diffusion
 mkdir -p models/ldm/stable-diffusion-v1/
 ```
 
+When the pip3 path exists, it will ```w```ipe.  
+
+The subdir env variable restricts conda to only use ARM packages while creating the env (M1/M2 is ARM-based). You could also ```conda install nomkl``` but setting the environment appropriately is cleaner.  
+
+```conda config``` will write to the active environment's (```ldm```) configuration file and set ```subdir``` to the desired value permanently.
 ```Shell
 PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
 ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
 
-# When path exists, pip3 will (w)ipe. 
-# restrict the Conda environment to only use ARM packages. M1/M2 is ARM-based. You could also conda install nomkl.
 PIP_EXISTS_ACTION="w"
 CONDA_SUBDIR="osx-arm64"
 conda env create -f environment-mac.yaml && conda activate ldm
+conda config --env --set subdir "osx-arm64"
 ```
 
 You can verify you're in the virtual environment by looking at which executable you're getting:
@@ -132,19 +134,20 @@ You can verify you're in the virtual environment by looking at which executable
 type python3
 ```
 
-Face Restoration and Upscaling 
+**Face Restoration and Upscaling**  
+By default this repo is expected in a directory at the same level as stable-diffusion.  
+We'll need ```basicsr``` for training and inference and ```facexlib```, a face detection / face restoration helper.  
+Also ```realesrgan``` to enhance the background (non-face) regions and do upscaling.  
+Lastly, we'll get a pre-trained model needed for face restoration.
 ```Shell
-
-# by default expected in a sibling directory to stable-diffusion
 cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
 
-# basicsr: used for training and inference. facexlib: face detection / face restoration helper.
 pip3 install basicsr facexlib \
 && pip3 install -r requirements.txt
 
 python3 setup.py develop
-pip3 install realesrgan # to enhance the background (non-face) regions and do upscaling
-# pre-trained model needed for face restoration
+pip3 install realesrgan 
+
 wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
 
 cd ../stable-diffusion
@@ -158,16 +161,14 @@ python3 scripts/preload_models.py
 # Step 3 - Usage (time to have fun)
 
 ## Startup
-If you're on a Linux container the ```dream``` script is automatically started and the output dir set to the Docker volume you created earlier. 
-
-If you're directly on macOS follow these startup instructions.  
-With the Conda environment activated (```conda activate ldm```), run the interactive interface that combines the functionality of the original scripts txt2img and img2img:
-Use the more accurate but VRAM-intensive full precision math because half-precision requires autocast and won't work.
+If you're on a **Linux container** the ```dream``` script is **automatically started** and the output dir set to the Docker volume you created earlier. 
 
+If you're **directly on macOS follow these startup instructions**.  
+With the Conda environment activated (```conda activate ldm```), run the interactive interface that combines the functionality of the original scripts ```txt2img``` and ```img2img```:  
+Use the more accurate but VRAM-intensive full precision math because half-precision requires autocast and won't work.  
+By default the images are saved in ```outputs/img-samples/```.
 ```Shell
-# If on Macbook
-python3 scripts/dream.py --full_precision
-# By default the images are saved in outputs/img-samples/.  
+python3 scripts/dream.py --full_precision  
 ```
 
 You'll get the script's prompt. You can see available options or quit.
@@ -185,36 +186,41 @@ dream> The hulk fighting with sheldon cooper -s5 -n1
 dream> "woman closeup highly detailed"  -s 150
 # Reuse previous seed and apply face restoration (if you installed GFPGAN)
 dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.75
-# TODO: example for upscaling.
 ```
+
 You'll need to experiment to see if face restoration is making it better or worse for your specific prompt.
-The -U option for upscaling has an [Issue](https://github.com/lstein/stable-diffusion/issues/297).  
+The ```-U``` option for upscaling has an [Issue](https://github.com/lstein/stable-diffusion/issues/297).  
 
 If you're on a container the output is set to the Docker volume. You can copy it wherever you want.  
 You can download it from the Docker Desktop app, Volumes, my-vol, data.  
-Or you can copy it from your Mac terminal. Keep in mind ```docker cp``` can't expand ```*.png``` so you'll need to specify the image file name:
+Or you can copy it from your Mac terminal. Keep in mind ```docker cp``` can't expand ```*.png``` so you'll need to specify the image file name.  
+
+On your host Mac (you can use the name of any container that mounted the volume):
 ```Shell
-# On your host Macbook (you can use the name of any container that mounted the volume)
 docker cp dummy:/data/000001.928403745.png /Users/<your-user>/Pictures 
 ```
 
 ## Image to Image
 You can also do text-guided image-to-image translation. For example, turning a sketch into a detailed drawing.  
-Strength is a value between 0.0 and 1.0, that controls the amount of noise that is added to the input image. Values that approach 1.0 allow for lots of variations but will also produce images that are not semantically consistent with the input. 0.0 preserves image exactly, 1.0 replaces it completely.  
+
+```strength``` is a value between 0.0 and 1.0 that controls the amount of noise that is added to the input image. Values that approach 1.0 allow for lots of variations but will also produce images that are not semantically consistent with the input. 0.0 preserves image exactly, 1.0 replaces it completely.  
+
 Make sure your input image size dimensions are multiples of 64 e.g. 512x512. Otherwise you'll get ```Error: product of dimension sizes > 2**31'```. If you still get the error [try a different size](https://support.apple.com/guide/preview/resize-rotate-or-flip-an-image-prvw2015/mac#:~:text=image's%20file%20size-,In%20the%20Preview%20app%20on%20your%20Mac%2C%20open%20the%20file,is%20shown%20at%20the%20bottom.) like 512x256.  
 
-If you're on a docker container, copy your input image into the Docker volume
+If you're on a Docker container, copy your input image into the Docker volume
 ```Shell
 docker cp /Users/<your-user>/Pictures/sketch-mountains-input.jpg dummy:/data/
 ```
 
-Try it out generating an image (or 4).  
-The ```dream``` script needs absolute paths to find the image so don't use ```~```.
+Try it out generating an image (or more). The ```dream``` script needs absolute paths to find the image so don't use ```~```.  
+
+If you're on your Mac
+```Shell 
+dream> "A fantasy landscape, trending on artstation" -I /Users/<your-user>/Pictures/sketch-mountains-input.jpg --strength 0.75  --steps 100 -n4
+```
+If you're on a Linux container on your Mac
 ```Shell
-# If you're on your Macbook 
-dream> "A fantasy landscape, trending on artstation" -I /Users/<your-user>/Pictures/sketch-mountains-input.jpg --strength 0.8  --steps 100 -n4
-# If you're on a Linux container on your Macbook
-dream> "A fantasy landscape, trending on artstation" -I /data/sketch-mountains-input.jpg --strength 0.75  --steps 100 -n1
+dream> "A fantasy landscape, trending on artstation" -I /data/sketch-mountains-input.jpg --strength 0.75  --steps 50 -n1
 ```
 
 ## Web Interface

From 654ec17000d397dc6d1c4e5371934bfae1c30a3a Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Mon, 12 Sep 2022 21:43:15 -0500
Subject: [PATCH 029/110] Remove Apple silicon section

---
 README-Docker.md | 87 ------------------------------------------------
 1 file changed, 87 deletions(-)

diff --git a/README-Docker.md b/README-Docker.md
index ce06e27105..8fddf986c5 100644
--- a/README-Docker.md
+++ b/README-Docker.md
@@ -1,23 +1,3 @@
-
-Table of Contents
-=================
-
-* [Step 1 - Get the Model](#step-1---get-the-model)
-* [Step 2 - Installation](#step-2---installation)
-   * [Option A - On a Linux container](#option-a---on-a-linux-container)
-      * [Why containers?](#why-containers)
-      * [Prerequisites](#prerequisites)
-      * [Setup](#setup)
-   * [Option B - Directly on Apple silicon](#option-b---directly-on-apple-silicon)
-      * [Prerequisites](#prerequisites-1)
-      * [Setup](#setup-1)
-* [Step 3 - Usage (time to have fun)](#step-3---usage-time-to-have-fun)
-   * [Startup](#startup)
-   * [Text to Image](#text-to-image)
-   * [Image to Image](#image-to-image)
-   * [Web Interface](#web-interface)
-   * [Notes](#notes)
-
 # Step 1 - Get the Model
 Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
 You'll need to create an account but it's quick and free.
@@ -91,73 +71,6 @@ santisbon/stable-diffusion
 ```
 Tip: Make sure you've created the Docker volume (above)
 
-## Option B - Directly on Apple silicon
-For Mac M1/M2. Read more about [Metal Performance Shaders (MPS) framework](https://developer.apple.com/documentation/metalperformanceshaders).
-
-### Prerequisites
-Install the latest versions of macOS, [Homebrew](https://brew.sh/), [Python](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#python), and [Git](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#git).  
-
-```Shell
-brew install cmake protobuf rust
-brew install --cask miniconda
-conda init zsh && source ~/.zshrc # or bash and .bashrc
-```
-
-### Setup
-
-Set the fork you want to use.
-```Shell
-GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
-
-git clone $GITHUB_STABLE_DIFFUSION
-cd stable-diffusion
-mkdir -p models/ldm/stable-diffusion-v1/
-```
-
-When the pip3 path exists, it will ```w```ipe.  
-
-The subdir env variable restricts conda to only use ARM packages while creating the env (M1/M2 is ARM-based). You could also ```conda install nomkl``` but setting the environment appropriately is cleaner.  
-
-```conda config``` will write to the active environment's (```ldm```) configuration file and set ```subdir``` to the desired value permanently.
-```Shell
-PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
-ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
-
-PIP_EXISTS_ACTION="w"
-CONDA_SUBDIR="osx-arm64"
-conda env create -f environment-mac.yaml && conda activate ldm
-conda config --env --set subdir "osx-arm64"
-```
-
-You can verify you're in the virtual environment by looking at which executable you're getting:
-```Shell
-type python3
-```
-
-**Face Restoration and Upscaling**  
-By default this repo is expected in a directory at the same level as stable-diffusion.  
-We'll need ```basicsr``` for training and inference and ```facexlib```, a face detection / face restoration helper.  
-Also ```realesrgan``` to enhance the background (non-face) regions and do upscaling.  
-Lastly, we'll get a pre-trained model needed for face restoration.
-```Shell
-cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
-
-pip3 install basicsr facexlib \
-&& pip3 install -r requirements.txt
-
-python3 setup.py develop
-pip3 install realesrgan 
-
-wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
-
-cd ../stable-diffusion
-```
-
-Only need to do this once. If we don't preload models it will download model files from the Internet when you run ```dream.py```. Used by the core functionality and by GFPGAN/Real-ESRGAN.
-```Shell
-python3 scripts/preload_models.py
-```
-
 # Step 3 - Usage (time to have fun)
 
 ## Startup

From 82a223c5f6299eda63e4a087da919175187456e1 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Mon, 12 Sep 2022 21:52:23 -0500
Subject: [PATCH 030/110] Remove Apple silicon section

---
 README-Docker.md | 69 ------------------------------------------------
 1 file changed, 69 deletions(-)

diff --git a/README-Docker.md b/README-Docker.md
index ce06e27105..24cdd2ec58 100644
--- a/README-Docker.md
+++ b/README-Docker.md
@@ -8,9 +8,6 @@ Table of Contents
       * [Why containers?](#why-containers)
       * [Prerequisites](#prerequisites)
       * [Setup](#setup)
-   * [Option B - Directly on Apple silicon](#option-b---directly-on-apple-silicon)
-      * [Prerequisites](#prerequisites-1)
-      * [Setup](#setup-1)
 * [Step 3 - Usage (time to have fun)](#step-3---usage-time-to-have-fun)
    * [Startup](#startup)
    * [Text to Image](#text-to-image)
@@ -91,72 +88,6 @@ santisbon/stable-diffusion
 ```
 Tip: Make sure you've created the Docker volume (above)
 
-## Option B - Directly on Apple silicon
-For Mac M1/M2. Read more about [Metal Performance Shaders (MPS) framework](https://developer.apple.com/documentation/metalperformanceshaders).
-
-### Prerequisites
-Install the latest versions of macOS, [Homebrew](https://brew.sh/), [Python](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#python), and [Git](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#git).  
-
-```Shell
-brew install cmake protobuf rust
-brew install --cask miniconda
-conda init zsh && source ~/.zshrc # or bash and .bashrc
-```
-
-### Setup
-
-Set the fork you want to use.
-```Shell
-GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
-
-git clone $GITHUB_STABLE_DIFFUSION
-cd stable-diffusion
-mkdir -p models/ldm/stable-diffusion-v1/
-```
-
-When the pip3 path exists, it will ```w```ipe.  
-
-The subdir env variable restricts conda to only use ARM packages while creating the env (M1/M2 is ARM-based). You could also ```conda install nomkl``` but setting the environment appropriately is cleaner.  
-
-```conda config``` will write to the active environment's (```ldm```) configuration file and set ```subdir``` to the desired value permanently.
-```Shell
-PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
-ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
-
-PIP_EXISTS_ACTION="w"
-CONDA_SUBDIR="osx-arm64"
-conda env create -f environment-mac.yaml && conda activate ldm
-conda config --env --set subdir "osx-arm64"
-```
-
-You can verify you're in the virtual environment by looking at which executable you're getting:
-```Shell
-type python3
-```
-
-**Face Restoration and Upscaling**  
-By default this repo is expected in a directory at the same level as stable-diffusion.  
-We'll need ```basicsr``` for training and inference and ```facexlib```, a face detection / face restoration helper.  
-Also ```realesrgan``` to enhance the background (non-face) regions and do upscaling.  
-Lastly, we'll get a pre-trained model needed for face restoration.
-```Shell
-cd .. && git clone https://github.com/TencentARC/GFPGAN.git && cd GFPGAN
-
-pip3 install basicsr facexlib \
-&& pip3 install -r requirements.txt
-
-python3 setup.py develop
-pip3 install realesrgan 
-
-wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models
-
-cd ../stable-diffusion
-```
-
-Only need to do this once. If we don't preload models it will download model files from the Internet when you run ```dream.py```. Used by the core functionality and by GFPGAN/Real-ESRGAN.
-```Shell
-python3 scripts/preload_models.py
-```
 
 # Step 3 - Usage (time to have fun)
 

From 00b002f731e4cd525130a06c07172baa7a576e07 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Mon, 12 Sep 2022 22:01:40 -0500
Subject: [PATCH 031/110] Move README-Docker to docs folder

---
 README-Docker.md => docs/installation/INSTALL_DOCKER.md | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename README-Docker.md => docs/installation/INSTALL_DOCKER.md (100%)

diff --git a/README-Docker.md b/docs/installation/INSTALL_DOCKER.md
similarity index 100%
rename from README-Docker.md
rename to docs/installation/INSTALL_DOCKER.md

From d4941ca833a1fd8d01f4932799b5407fae964bbd Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Mon, 12 Sep 2022 22:17:37 -0500
Subject: [PATCH 032/110] Doc cleanup

---
 docs/installation/INSTALL_DOCKER.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/installation/INSTALL_DOCKER.md b/docs/installation/INSTALL_DOCKER.md
index 24cdd2ec58..86ba6dfb65 100644
--- a/docs/installation/INSTALL_DOCKER.md
+++ b/docs/installation/INSTALL_DOCKER.md
@@ -4,7 +4,7 @@ Table of Contents
 
 * [Step 1 - Get the Model](#step-1---get-the-model)
 * [Step 2 - Installation](#step-2---installation)
-   * [Option A - On a Linux container](#option-a---on-a-linux-container)
+   * [On a Linux container](#on-a-linux-container)
       * [Why containers?](#why-containers)
       * [Prerequisites](#prerequisites)
       * [Setup](#setup)
@@ -21,12 +21,12 @@ You'll need to create an account but it's quick and free.
 
 # Step 2 - Installation
 
-## Option A - On a Linux container 
+## On a Linux container 
 
 ### Why containers?
 They provide a flexible, reliable way to build and deploy Stable Diffusion. We also use a Docker volume to store the largest model file and image outputs as a first step in decoupling storage and compute. Future enhancements will do this for other model files and assets. See [Processes](https://12factor.net/processes) under the Twelve-Factor App methodology for details on why running applications in such a stateless fashion is important.
 
-This example uses a Mac M1/M2 (arm64) but you can specify the platform and architecture as parameters when building the image and running the container.  
+This example uses a Mac M1/M2 (arm64) but you can specify the platform and architecture as parameters when building the image and running the container. You'll also need to specify the Stable Diffusion requirements file that matches your OS and architecture e.g. Linux on an arm64 chip if running a Linux container on Apple silicon.  
 
 The steps would be the same on an amd64 machine with NVIDIA GPUs as for an arm64 Mac; the platform is configurable. You [can't access the Mac M1/M2 GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224) and performance is reduced compared with running it directly on macOS but for development purposes it's fine. Once you're done with development tasks on your laptop you can build for the target platform and architecture and deploy to an environment with NVIDIA GPUs on-premises or in the cloud.
 

From 0aa3dfbc352cd0e3cfcb667ae77414dfb95f7011 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <armando.santisbon@gmail.com>
Date: Mon, 12 Sep 2022 23:46:45 -0500
Subject: [PATCH 033/110] Update link to guide on Docker, supported
 architectures, and platform specifiers.

---
 docs/installation/INSTALL_DOCKER.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/installation/INSTALL_DOCKER.md b/docs/installation/INSTALL_DOCKER.md
index 86ba6dfb65..9a124b4e52 100644
--- a/docs/installation/INSTALL_DOCKER.md
+++ b/docs/installation/INSTALL_DOCKER.md
@@ -31,7 +31,7 @@ This example uses a Mac M1/M2 (arm64) but you can specify the platform and archi
 The steps would be the same on an amd64 machine with NVIDIA GPUs as for an arm64 Mac; the platform is configurable. You [can't access the Mac M1/M2 GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224) and performance is reduced compared with running it directly on macOS but for development purposes it's fine. Once you're done with development tasks on your laptop you can build for the target platform and architecture and deploy to an environment with NVIDIA GPUs on-premises or in the cloud.
 
 ### Prerequisites
-[Install Docker](https://gist.github.com/santisbon/2165fd1c9aaa1f7974f424535d3756f7#docker)  
+[Install Docker](https://github.com/santisbon/guides#docker)  
 On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.  
 
 Create a Docker volume for the downloaded model file

From f59b399f525f0d6c4f147b66de85b780a7d00160 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <3804335+santisbon@users.noreply.github.com>
Date: Thu, 15 Sep 2022 21:07:36 -0500
Subject: [PATCH 034/110] update dependencies

---
 requirements-linux-arm64.txt | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/requirements-linux-arm64.txt b/requirements-linux-arm64.txt
index 24ad623d84..10329e47d3 100644
--- a/requirements-linux-arm64.txt
+++ b/requirements-linux-arm64.txt
@@ -11,7 +11,7 @@ opencv-python==4.6.0.66
 pillow==9.2.0
 pudb==2019.2
 torch==1.12.1
-torchvision==0.12.0
+torchvision==0.13.0
 pytorch-lightning==1.4.2
 streamlit==1.12.0
 test-tube>=0.7.5
@@ -21,4 +21,5 @@ transformers==4.19.2
 -e git+https://github.com/openai/CLIP.git@main#egg=clip
 -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers
 git+https://github.com/lstein/k-diffusion.git@master#egg=k-diffusion
+-e git+https://github.com/lstein/GFPGAN@fix-dark-cast-images#egg=gfpgan
 -e .
\ No newline at end of file

From d1de1e357a889a350d682b03842ffca633bbf359 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sat, 17 Sep 2022 06:15:55 +1000
Subject: [PATCH 035/110] Fixes PromptFormatter import bug

---
 backend/server.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/backend/server.py b/backend/server.py
index 8dbbc65cb1..02fc0b487f 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -19,7 +19,8 @@ from uuid import uuid4
 from ldm.gfpgan.gfpgan_tools import real_esrgan_upscale
 from ldm.gfpgan.gfpgan_tools import run_gfpgan
 from ldm.generate import Generate
-from ldm.dream.pngwriter import PngWriter
+from ldm.dream.pngwriter import PngWriter, retrieve_metadata
+
 from modules.parameters import parameters_to_command, create_cmd_parser
 
 

From f9feaac8c728162f43f917364b96203fee8071c9 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sat, 17 Sep 2022 06:16:16 +1000
Subject: [PATCH 036/110] Fixes metadata related to new args

---
 backend/server.py      | 17 +++++++----------
 ldm/dream/pngwriter.py |  8 +++++---
 scripts/sd-metadata.py |  2 +-
 3 files changed, 13 insertions(+), 14 deletions(-)

diff --git a/backend/server.py b/backend/server.py
index 02fc0b487f..3d24656af0 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -147,15 +147,12 @@ def handle_request_all_images():
     paths.sort(key=lambda x: os.path.getmtime(x))
     image_array = []
     for path in paths:
-        image = Image.open(path)
-        metadata = {}
-        if 'Dream' in image.info:
-            try:
-                metadata = vars(parser.parse_args(shlex.split(image.info['Dream'])))
-            except SystemExit:
-                # TODO: Unable to parse metadata, ignore it for now,
-                # this can happen when metadata is missing a prompt
-                pass
+        # image = Image.open(path)
+        all_metadata = retrieve_metadata(path)
+        if 'Dream' in all_metadata and not all_metadata['sd-metadata']:
+            metadata = vars(parser.parse_args(shlex.split(all_metadata['Dream'])))
+        else:
+            metadata = all_metadata['sd-metadata']
         image_array.append({'path': path, 'metadata': metadata})
     return make_response("OK", data=image_array)
 
@@ -308,7 +305,7 @@ def save_image(image, parameters, output_dir, step_index=None, postprocessing=Fa
 
     command = parameters_to_command(parameters)
 
-    path = pngwriter.save_image_and_prompt_to_png(image, command, filename)
+    path = pngwriter.save_image_and_prompt_to_png(image, command, parameters, filename)
 
     return path
 
diff --git a/ldm/dream/pngwriter.py b/ldm/dream/pngwriter.py
index a8d2425b91..ecbc3c0e15 100644
--- a/ldm/dream/pngwriter.py
+++ b/ldm/dream/pngwriter.py
@@ -47,7 +47,8 @@ class PngWriter:
         metadata stored there, as a dict
         '''
         path = os.path.join(self.outdir,img_basename)
-        return retrieve_metadata(path)
+        all_metadata = retrieve_metadata(path)
+        return all_metadata['sd-metadata']
 
 def retrieve_metadata(img_path):
     '''
@@ -55,6 +56,7 @@ def retrieve_metadata(img_path):
     metadata stored there, as a dict
     '''
     im = Image.open(img_path)
-    md = im.text.get('sd-metadata',{})
-    return json.loads(md)
+    md = im.text.get('sd-metadata', '{}')
+    dream_prompt = im.text.get('Dream', '')
+    return {'sd-metadata': json.loads(md), 'Dream': dream_prompt}
 
diff --git a/scripts/sd-metadata.py b/scripts/sd-metadata.py
index a3438fa078..02d5002d60 100644
--- a/scripts/sd-metadata.py
+++ b/scripts/sd-metadata.py
@@ -13,7 +13,7 @@ filenames = sys.argv[1:]
 for f in filenames:
     try:
         metadata = retrieve_metadata(f)
-        print(f'{f}:\n',json.dumps(metadata, indent=4))
+        print(f'{f}:\n',json.dumps(metadata['sd-metadata'], indent=4))
     except FileNotFoundError:
         sys.stderr.write(f'{f} not found\n')
         continue

From 67fbaa7c3106ee1c6461048cbff9111df5af0abc Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lincoln.stein@gmail.com>
Date: Fri, 16 Sep 2022 16:57:54 -0400
Subject: [PATCH 037/110] reconciled conflicting changes to pngwriter call

---
 backend/server.py      | 2 +-
 ldm/dream/pngwriter.py | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/backend/server.py b/backend/server.py
index 3d24656af0..ef93c5b0d7 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -305,7 +305,7 @@ def save_image(image, parameters, output_dir, step_index=None, postprocessing=Fa
 
     command = parameters_to_command(parameters)
 
-    path = pngwriter.save_image_and_prompt_to_png(image, command, parameters, filename)
+    path = pngwriter.save_image_and_prompt_to_png(image, command, metadata=parameters, name=filename)
 
     return path
 
diff --git a/ldm/dream/pngwriter.py b/ldm/dream/pngwriter.py
index 5cda259357..9a2a8bc816 100644
--- a/ldm/dream/pngwriter.py
+++ b/ldm/dream/pngwriter.py
@@ -34,6 +34,7 @@ class PngWriter:
     # saves image named _image_ to outdir/name, writing metadata from prompt
     # returns full path of output
     def save_image_and_prompt_to_png(self, image, dream_prompt, name, metadata=None):
+        print(f'self.outdir={self.outdir}, name={name}')
         path = os.path.join(self.outdir, name)
         info = PngImagePlugin.PngInfo()
         info.add_text('Dream', dream_prompt)

From 2b9f8e7218e090947ec3139519ff0e593acf5e47 Mon Sep 17 00:00:00 2001
From: Kent Keirsey <31807370+hipsterusername@users.noreply.github.com>
Date: Fri, 16 Sep 2022 17:31:26 -0400
Subject: [PATCH 038/110] Update to add Adobe Photoshop Guide for inpainting
 (#617)

* updating with Adobe instructions & assets

* Assets for Adobe guide

* correcting paths
---
 docs/assets/step1.png       | Bin 0 -> 514787 bytes
 docs/assets/step2.png       | Bin 0 -> 1465 bytes
 docs/assets/step4.png       | Bin 0 -> 1336 bytes
 docs/assets/step5.png       | Bin 0 -> 5768 bytes
 docs/assets/step6.png       | Bin 0 -> 404443 bytes
 docs/assets/step7.png       | Bin 0 -> 1038269 bytes
 docs/features/INPAINTING.md |  37 ++++++++++++++++++++++++++++++++++++
 7 files changed, 37 insertions(+)
 create mode 100644 docs/assets/step1.png
 create mode 100644 docs/assets/step2.png
 create mode 100644 docs/assets/step4.png
 create mode 100644 docs/assets/step5.png
 create mode 100644 docs/assets/step6.png
 create mode 100644 docs/assets/step7.png

diff --git a/docs/assets/step1.png b/docs/assets/step1.png
new file mode 100644
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diff --git a/docs/features/INPAINTING.md b/docs/features/INPAINTING.md
index bf28de31a6..bc1c709837 100644
--- a/docs/features/INPAINTING.md
+++ b/docs/features/INPAINTING.md
@@ -39,3 +39,40 @@ We are hoping to get rid of the need for this workaround in an upcoming release.
 7. Export as PNG
 8. In the export dialogue, Make sure the "Save colour values from
    transparent pixels" checkbox is selected.
+
+
+## Recipe for Adobe Photoshop
+
+1. Open image in Photoshop
+<p align='left'>
+<img src="../assets/step1.png"/>
+</p>
+
+2. Use any of the selection tools (Marquee, Lasso, or Wand) to select the area you desire to inpaint.
+<p align='left'>
+<img src="../assets/step2.png"/>
+</p>
+
+3. Because we'll be applying a mask over the area we want to preserve, you should now select the inverse by using the Shift + Ctrl + I shortcut, or right clicking and using the "Select Inverse" option.
+
+4. You'll now create a mask by selecting the image layer, and Masking the selection. Make sure that you don't delete any of the underlying image, or your inpainting results will be dramatically impacted.
+<p align='left'>
+<img src="../assets/step4.png"/>
+</p>
+
+5. Make sure to hide any background layers that are present. You should see the mask applied to your image layer, and the image on your canvas should display the checkered background.
+<p align='left'>
+<img src="../assets/step5.png"/>
+</p>
+
+<p align='left'>
+<img src="../assets/step6.png"/>
+</p>
+
+6. Save the image as a transparent PNG by using the "Save a Copy" option in the File menu, or using the Alt + Ctrl + S keyboard shortcut.
+
+7. After following the inpainting instructions above (either through the CLI or the Web UI), marvel at your newfound ability to selectively dream. Lookin' good!
+<p align='left'>
+<img src="../assets/step7.png"/>
+</p>
+

From fb7a9f37e4f1208e4156457b0f401ff9a182328e Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <3804335+santisbon@users.noreply.github.com>
Date: Fri, 16 Sep 2022 18:35:50 -0500
Subject: [PATCH 039/110] Set temporary instructions Set temporary instructions
 to use the branch that can currently be containerized.

---
 docker-build/Dockerfile             |  65 +++++++---------
 docker-build/entrypoint.sh          |   8 +-
 docs/installation/INSTALL_DOCKER.md | 112 ++++++++++++++--------------
 3 files changed, 90 insertions(+), 95 deletions(-)

diff --git a/docker-build/Dockerfile b/docker-build/Dockerfile
index 05dcb822cc..8922cdfde5 100644
--- a/docker-build/Dockerfile
+++ b/docker-build/Dockerfile
@@ -3,66 +3,57 @@ FROM        debian
 ARG         gsd
 ENV         GITHUB_STABLE_DIFFUSION $gsd
 
-ARG         sdreq="requirements-linux-arm64.txt"
-ENV         SD_REQ $sdreq
+ARG         rsd
+ENV         REQS $rsd
 
-ARG         condaarch
-ENV         ARCH $condaarch
+ARG         cs
+ENV         CONDA_SUBDIR $cs
 
-WORKDIR     /
+ENV         PIP_EXISTS_ACTION="w"
 
 # TODO: Optimize image size
 
-COPY        entrypoint.sh anaconda.sh .
 SHELL       ["/bin/bash", "-c"]
 
-# Update and apt 446 MB
+WORKDIR     /
 RUN         apt update && apt upgrade -y \
             && apt install -y \
             git \
+            libgl1-mesa-glx \
+            libglib2.0-0 \
             pip \
             python3 \
-            wget 
+            wget \
+            && git clone $GITHUB_STABLE_DIFFUSION
 
-# install Anaconda or Miniconda 610 MB
+# Install Anaconda or Miniconda
+COPY        anaconda.sh .
 RUN         bash anaconda.sh -b -u -p /anaconda && /anaconda/bin/conda init bash
 
-# SD repo 105 MB
-RUN         git clone $GITHUB_STABLE_DIFFUSION 
-
+# SD 
 WORKDIR     /stable-diffusion 
+RUN         source ~/.bashrc \
+            && conda create -y --name ldm && conda activate ldm \
+            && conda config --env --set subdir $CONDA_SUBDIR \
+            && pip3 install -r $REQS \   
+            && pip3 install basicsr facexlib realesrgan \          
+            && mkdir models/ldm/stable-diffusion-v1 \
+            && ln -s "/data/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt 
 
-# SD env 2.3 GB !!!
-RUN         PIP_EXISTS_ACTION="w" \
-            && CONDA_SUBDIR=$ARCH \
-            && source ~/.bashrc && conda create -y --name ldm && conda activate ldm \
-            && conda config --env --set subdir $ARCH \
-            && pip3 install -r $SD_REQ \                     
-            && mkdir models/ldm/stable-diffusion-v1 
-
-# Face restoration prerequisites 200 MB
-RUN         apt install -y libgl1-mesa-glx libglib2.0-0 
-
-WORKDIR     /       
-
-# Face restoreation repo 12 MB
+# Face restoreation
 # by default expected in a sibling directory to stable-diffusion
+WORKDIR     /       
 RUN         git clone https://github.com/TencentARC/GFPGAN.git 
 
 WORKDIR     /GFPGAN 
-
-# Face restoration env 608 MB
-RUN         pip3 install basicsr facexlib \
-            && pip3 install -r requirements.txt \
+RUN         pip3 install -r requirements.txt \
             && python3 setup.py develop \
-            # to enhance the background (non-face) regions and do upscaling
-            && pip3 install realesrgan \
-            # pre-trained model needed for face restoration
-            && wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models 
+            # && wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models 
+            && ln -s "/data/GFPGANv1.3.pth" experiments/pretrained_models/GFPGANv1.3.pth
 
 WORKDIR     /stable-diffusion 
-
-# Preload models 2 GB
 RUN         python3 scripts/preload_models.py         
 
-ENTRYPOINT ["/entrypoint.sh"]
+WORKDIR     /
+COPY        entrypoint.sh .
+ENTRYPOINT ["/entrypoint.sh"]
\ No newline at end of file
diff --git a/docker-build/entrypoint.sh b/docker-build/entrypoint.sh
index c7cc9af8d3..f47e6669e0 100755
--- a/docker-build/entrypoint.sh
+++ b/docker-build/entrypoint.sh
@@ -1,10 +1,10 @@
 #!/bin/bash
-ln -sf /data/sd-v1-4.ckpt /stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt
+
 cd /stable-diffusion
-conda activate ldm
 
 if [ $# -eq 0 ]; then
-    python3 scripts/dream.py --full_precision -o /data 
+    python3 scripts/dream.py --full_precision -o /data
+    # bash
 else
     python3 scripts/dream.py --full_precision -o /data "$@"
-fi
+fi
\ No newline at end of file
diff --git a/docs/installation/INSTALL_DOCKER.md b/docs/installation/INSTALL_DOCKER.md
index 9a124b4e52..34974e0f2f 100644
--- a/docs/installation/INSTALL_DOCKER.md
+++ b/docs/installation/INSTALL_DOCKER.md
@@ -1,95 +1,101 @@
+# Before you begin
 
-Table of Contents
-=================
+- For end users: Install Stable Diffusion locally using the instructions for your OS.
+- For developers: For container-related development tasks or for enabling easy deployment to other environments (on-premises or cloud), follow these instructions. For general use, install locally to leverage your machine's GPU.
 
-* [Step 1 - Get the Model](#step-1---get-the-model)
-* [Step 2 - Installation](#step-2---installation)
-   * [On a Linux container](#on-a-linux-container)
-      * [Why containers?](#why-containers)
-      * [Prerequisites](#prerequisites)
-      * [Setup](#setup)
-* [Step 3 - Usage (time to have fun)](#step-3---usage-time-to-have-fun)
-   * [Startup](#startup)
-   * [Text to Image](#text-to-image)
-   * [Image to Image](#image-to-image)
-   * [Web Interface](#web-interface)
-   * [Notes](#notes)
+# Why containers?
 
-# Step 1 - Get the Model
-Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```.  
-You'll need to create an account but it's quick and free.
+They provide a flexible, reliable way to build and deploy Stable Diffusion. You'll also use a Docker volume to store the largest model files and image outputs as a first step in decoupling storage and compute. Future enhancements can do this for other assets. See [Processes](https://12factor.net/processes) under the Twelve-Factor App methodology for details on why running applications in such a stateless fashion is important.
 
-# Step 2 - Installation
+You can specify the target platform when building the image and running the container. You'll also need to specify the Stable Diffusion requirements file that matches the container's OS and the architecture it will run on.  
 
-## On a Linux container 
+Developers on Apple silicon (M1/M2): You [can't access your GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224) and performance is reduced compared with running it directly on macOS but for development purposes it's fine. Once you're done with development tasks on your laptop you can build for the target platform and architecture and deploy to another environment with NVIDIA GPUs on-premises or in the cloud.  
 
-### Why containers?
-They provide a flexible, reliable way to build and deploy Stable Diffusion. We also use a Docker volume to store the largest model file and image outputs as a first step in decoupling storage and compute. Future enhancements will do this for other model files and assets. See [Processes](https://12factor.net/processes) under the Twelve-Factor App methodology for details on why running applications in such a stateless fashion is important.
+# Installation on a Linux container 
 
-This example uses a Mac M1/M2 (arm64) but you can specify the platform and architecture as parameters when building the image and running the container. You'll also need to specify the Stable Diffusion requirements file that matches your OS and architecture e.g. Linux on an arm64 chip if running a Linux container on Apple silicon.  
+## Prerequisites
 
-The steps would be the same on an amd64 machine with NVIDIA GPUs as for an arm64 Mac; the platform is configurable. You [can't access the Mac M1/M2 GPU cores from Docker containers](https://github.com/pytorch/pytorch/issues/81224) and performance is reduced compared with running it directly on macOS but for development purposes it's fine. Once you're done with development tasks on your laptop you can build for the target platform and architecture and deploy to an environment with NVIDIA GPUs on-premises or in the cloud.
+### Get the data files  
 
-### Prerequisites
-[Install Docker](https://github.com/santisbon/guides#docker)  
+Go to [Hugging Face](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original), and click "Access repository" to Download the model file ```sd-v1-4.ckpt``` (~4 GB) to ```~/Downloads```. You'll need to create an account but it's quick and free.  
+
+Also download the face restoration model.
+```Shell
+cd ~/Downloads
+wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth
+```
+
+### Install [Docker](https://github.com/santisbon/guides#docker)  
 On the Docker Desktop app, go to Preferences, Resources, Advanced. Increase the CPUs and Memory to avoid this [Issue](https://github.com/lstein/stable-diffusion/issues/342). You may need to increase Swap and Disk image size too.  
 
-Create a Docker volume for the downloaded model file
+## Setup
+
+Set the fork you want to use and other variables.  
+```Shell
+TAG_STABLE_DIFFUSION="santisbon/stable-diffusion"
+PLATFORM="linux/arm64"
+GITHUB_STABLE_DIFFUSION="-b orig-gfpgan https://github.com/santisbon/stable-diffusion.git"
+REQS_STABLE_DIFFUSION="requirements-linux-arm64.txt"
+CONDA_SUBDIR="osx-arm64"
+
+echo $TAG_STABLE_DIFFUSION
+echo $PLATFORM
+echo $GITHUB_STABLE_DIFFUSION
+echo $REQS_STABLE_DIFFUSION
+echo $CONDA_SUBDIR
 ```
+
+Create a Docker volume for the downloaded model files.
+```Shell
 docker volume create my-vol
 ```
 
-Copy the model file (we'll need it at run time) to the Docker volume using a lightweight Linux container. You just need to create the container with the mountpoint; no need to run it.
+Copy the data files to the Docker volume using a lightweight Linux container. We'll need the models at run time. You just need to create the container with the mountpoint; no need to run this dummy container.
 ```Shell
-docker create --platform linux/arm64 --name dummy --mount source=my-vol,target=/data alpine 
+cd ~/Downloads # or wherever you saved the files
+
+docker create --platform $PLATFORM --name dummy --mount source=my-vol,target=/data alpine 
 
-cd ~/Downloads # or wherever you saved sd-v1-4.ckpt
 docker cp sd-v1-4.ckpt dummy:/data
+docker cp GFPGANv1.3.pth dummy:/data
 ```
 
-### Setup
-Set the fork you want to use.  
-Download the Miniconda installer (we'll need it at build time). Replace the URL with the version matching your system.
+Get the repo and download the Miniconda installer (we'll need it at build time). Replace the URL with the version matching your container OS and the architecture it will run on.
 ```Shell
-GITHUB_STABLE_DIFFUSION="https://github.com/santisbon/stable-diffusion.git"
-
 cd ~
 git clone $GITHUB_STABLE_DIFFUSION
 
 cd stable-diffusion/docker-build
 chmod +x entrypoint.sh
-
 wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-aarch64.sh -O anaconda.sh && chmod +x anaconda.sh
 ```
 
 Build the Docker image. Give it any tag ```-t``` that you want.  
-Tip: Check that your shell session has the env variable set (above) with ```echo $GITHUB_STABLE_DIFFUSION```.  
-```condaarch``` will restrict the conda environment to the right architecture when installing packages. It can take on: ```linux-64```, ```osx-64```, ```osx-arm64```.
+Choose the Linux container's host platform: x86-64/Intel is ```amd64```. Apple silicon is ```arm64```. If deploying the container to the cloud to leverage powerful GPU instances you'll be on amd64 hardware but if you're just trying this out locally on Apple silicon choose arm64.  
+The application uses libraries that need to match the host environment so use the appropriate requirements file.  
+Tip: Check that your shell session has the env variables set above.  
 ```Shell
-docker build -t santisbon/stable-diffusion \
---platform linux/arm64 \
---build-arg condaarch="osx-arm64" \
+docker build -t $TAG_STABLE_DIFFUSION \
+--platform $PLATFORM \
 --build-arg gsd=$GITHUB_STABLE_DIFFUSION \
---build-arg sdreq="requirements-linux-arm64.txt" \
+--build-arg rsd=$REQS_STABLE_DIFFUSION \
+--build-arg cs=$CONDA_SUBDIR \
 .
 ```
 
-Run a container using your built image e.g.
+Run a container using your built image.  
+Tip: Make sure you've created and populated the Docker volume (above).
 ```Shell
 docker run -it \
 --rm \
---platform linux/arm64 \
+--platform $PLATFORM \
 --name stable-diffusion \
 --hostname stable-diffusion \
 --mount source=my-vol,target=/data \
---expose 9090 \
---publish 9090:9090 \
-santisbon/stable-diffusion
+$TAG_STABLE_DIFFUSION
 ```
-Tip: Make sure you've created the Docker volume (above)
 
-
-# Step 3 - Usage (time to have fun)
+# Usage (time to have fun)
 
 ## Startup
 If you're on a **Linux container** the ```dream``` script is **automatically started** and the output dir set to the Docker volume you created earlier. 
@@ -115,12 +121,11 @@ The prompt can be in quotes or not.
 ```Shell
 dream> The hulk fighting with sheldon cooper -s5 -n1 
 dream> "woman closeup highly detailed"  -s 150
-# Reuse previous seed and apply face restoration (if you installed GFPGAN)
-dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.75
+# Reuse previous seed and apply face restoration
+dream> "woman closeup highly detailed"  --steps 150 --seed -1 -G 0.75 
 ```
 
 You'll need to experiment to see if face restoration is making it better or worse for your specific prompt.
-The ```-U``` option for upscaling has an [Issue](https://github.com/lstein/stable-diffusion/issues/297).  
 
 If you're on a container the output is set to the Docker volume. You can copy it wherever you want.  
 You can download it from the Docker Desktop app, Volumes, my-vol, data.  
@@ -175,5 +180,4 @@ The original scripts should work as well.
 python3 scripts/orig_scripts/txt2img.py --help
 python3 scripts/orig_scripts/txt2img.py --ddim_steps 100 --n_iter 1 --n_samples 1  --plms --prompt "new born baby kitten. Hyper Detail, Octane Rendering, Unreal Engine, V-Ray"
 python3 scripts/orig_scripts/txt2img.py --ddim_steps 5   --n_iter 1 --n_samples 1  --plms --prompt "ocean" # or --klms
-```
-
+```
\ No newline at end of file

From d8d30ab4cbde8d8694c884e3c97d28638313fe48 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Fri, 16 Sep 2022 15:28:37 +0200
Subject: [PATCH 040/110] separate toc by disabling toc.integrate this way the
 leftside menu does not look so bloated and users can find what they are
 looking for much faster

---
 mkdocs.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/mkdocs.yml b/mkdocs.yml
index c7c50834d8..f0f64db502 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -13,8 +13,8 @@ copyright: Copyright &copy; 2022 Lincoln D. Stein <lincoln.stein@gmail.com>
 # Configuration
 theme:
   name: material
-  features:
-    - toc.integrate
+  # features:
+  #   - toc.integrate
   palette:
     - media: '(prefers-color-scheme: light)'
       primary: blue

From fa7fe382b7beb5f50f53e3d39c7f97ddf85b4cb3 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Fri, 16 Sep 2022 13:45:42 +0200
Subject: [PATCH 041/110] remove protobuf from brew install docs

---
 docs/installation/INSTALL_MAC.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 71535980f5..67c2c025b2 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -53,8 +53,8 @@ First get the weights checkpoint download started - it's big:
 
 # OR,
 # 2. Installing standalone
-# install python 3, git, cmake, protobuf:
-brew install cmake protobuf rust
+# install python 3, git, cmake:
+brew install cmake rust
 
 # install miniconda for M1 arm64:
 curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o Miniconda3-latest-MacOSX-arm64.sh

From 443fcd030f437c3a98c0e93e456ccbefe0a7593e Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Fri, 16 Sep 2022 20:34:34 +0200
Subject: [PATCH 042/110] change printWidth for markdown files to 80 since 80
 is the defautl lenght

---
 .prettierrc.yaml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.prettierrc.yaml b/.prettierrc.yaml
index 68eae1ba15..ce4b99a07b 100644
--- a/.prettierrc.yaml
+++ b/.prettierrc.yaml
@@ -5,9 +5,9 @@ singleQuote: true
 quoteProps: as-needed
 embeddedLanguageFormatting: auto
 overrides:
-  - files: "*.md"
+  - files: '*.md'
     options:
       proseWrap: always
-      printWidth: 100
+      printWidth: 80
       parser: markdown
       cursorOffset: -1

From cd494c2f6caa52aa38be1bc2275b2889d17a9de2 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Fri, 16 Sep 2022 14:07:17 +0200
Subject: [PATCH 043/110] fix some markdown violations as well

---
 docs/installation/INSTALL_MAC.md | 54 +++++++++++++++++++-------------
 1 file changed, 32 insertions(+), 22 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 67c2c025b2..f87aa6f99e 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -45,11 +45,11 @@ First get the weights checkpoint download started - it's big:
 # NOW EITHER DO
 # 1. Installing alongside pyenv
 
-  brew install pyenv-virtualenv # you might have this from before, no problem
-  pyenv install anaconda3-2022.05
-  pyenv virtualenv anaconda3-2022.05
-  eval "$(pyenv init -)"
-  pyenv activate anaconda3-2022.05
+brew install pyenv-virtualenv # you might have this from before, no problem
+pyenv install anaconda3-2022.05
+pyenv virtualenv anaconda3-2022.05
+eval "$(pyenv init -)"
+pyenv activate anaconda3-2022.05
 
 # OR,
 # 2. Installing standalone
@@ -69,19 +69,17 @@ curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -o M
 # continue from here
 
 # clone the repo
-  git clone https://github.com/lstein/stable-diffusion.git
-  cd stable-diffusion
+git clone https://github.com/lstein/stable-diffusion.git
+cd stable-diffusion
 
-#
 # wait until the checkpoint file has downloaded, then proceed
-#
 
 # create symlink to checkpoint
-  mkdir -p models/ldm/stable-diffusion-v1/
+mkdir -p models/ldm/stable-diffusion-v1/
 
-  PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
+PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
 
-  ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
+ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
 
 # install packages for arm64
 PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac.yaml
@@ -189,7 +187,7 @@ There are several causes of these errors.
 - Third, if it says you're missing taming you need to rebuild your virtual
   environment.
 
-````bash
+```bash
 conda deactivate
 
 conda env remove -n ldm
@@ -291,8 +289,10 @@ list all of the `python` / `python3` things found in `$PATH` instead of just the
 one that will be executed by default. To do that, add the `-a` switch to
 `which`:
 
-    % which -a python3
-    ...
+```bash
+% which -a python3
+...
+```
 
 ### Debugging?
 
@@ -300,17 +300,21 @@ Tired of waiting for your renders to finish before you can see if it works?
 Reduce the steps! The image quality will be horrible but at least you'll get
 quick feedback.
 
-    python ./scripts/txt2img.py --prompt "ocean" --ddim_steps 5 --n_samples 1 --n_iter 1
+```bash
+python ./scripts/txt2img.py --prompt "ocean" --ddim_steps 5 --n_samples 1 --n_iter 1
+```
 
 ### OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'...
 
-    python scripts/preload_models.py
+```bash
+python scripts/preload_models.py
+```
 
 ### "The operator [name] is not current implemented for the MPS device." (sic)
 
 Example error.
 
-```
+```bash
 
 ... NotImplementedError: The operator 'aten::_index_put_impl_' is not current
 implemented for the MPS device. If you want this op to be added in priority
@@ -330,7 +334,9 @@ The lstein branch includes this fix in
 I have not seen this error because I had Rust installed on my computer before I
 started playing with Stable Diffusion. The fix is to install Rust.
 
-    curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
+```bash
+curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
+```
 
 ### How come `--seed` doesn't work?
 
@@ -347,8 +353,9 @@ still working on it.
 
 ### libiomp5.dylib error?
 
-    OMP: Error #15: Initializing libiomp5.dylib, but found libomp.dylib already initialized.
-
+```bash
+OMP: Error #15: Initializing libiomp5.dylib, but found libomp.dylib already initialized.
+```
 You are likely using an Intel package by mistake. Be sure to run conda with the
 environment variable `CONDA_SUBDIR=osx-arm64`, like so:
 
@@ -428,7 +435,10 @@ This is a 32-bit vs 16-bit problem.
 ### The processor must support the Intel bla bla bla
 
 What? Intel? On an Apple Silicon?
-`bash Intel MKL FATAL ERROR: This system does not meet the minimum requirements for use of the Intel(R) Math Kernel Library. The processor must support the Intel(R) Supplemental Streaming SIMD Extensions 3 (Intel(R) SSSE3) instructions. The processor must support the Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) instructions. The processor must support the Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions. `
+
+```bash
+Intel MKL FATAL ERROR: This system does not meet the minimum requirements for use of the Intel(R) Math Kernel Library. The processor must support the Intel(R) Supplemental Streaming SIMD Extensions 3 (Intel(R) SSSE3) instructions. The processor must support the Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) instructions. The processor must support the Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
+```
 
 This is due to the Intel `mkl` package getting picked up when you try to install
 something that depends on it-- Rosetta can translate some Intel instructions but

From 3c732500e717b2aefdd919a04597d524347240fd Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Fri, 16 Sep 2022 21:30:21 +0200
Subject: [PATCH 044/110] many updatedes to INSTALL_MAC.md

---
 docs/installation/INSTALL_MAC.md | 186 +++++++++++++++++++------------
 1 file changed, 115 insertions(+), 71 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index f87aa6f99e..4f8a5477f6 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -9,18 +9,21 @@ title: macOS
 - Patience
 - Apple Silicon or Intel Mac
 
-Things have moved really fast and so these instructions change often and are
-often out-of-date. One of the problems is that there are so many different ways
-to run this.
+Things have moved really fast and so these instructions change often which makes
+them outdated pretty fast. One of the problems is that there are so many
+different ways to run this.
 
 We are trying to build a testing setup so that when we make changes it doesn't
 always break.
 
-How to (this hasn't been 100% tested yet):
+## How to
 
-First get the weights checkpoint download started - it's big:
+(this hasn't been 100% tested yet)
 
-1. Sign up at https://huggingface.co
+First get the weights checkpoint download started since it's big and will take
+some time:
+
+1. Sign up at [huggingface.co](https://huggingface.co)
 2. Go to the
    [Stable diffusion diffusion model page](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original)
 3. Accept the terms and click Access Repository:
@@ -28,24 +31,26 @@ First get the weights checkpoint download started - it's big:
    [sd-v1-4.ckpt (4.27 GB)](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/blob/main/sd-v1-4.ckpt)
    and note where you have saved it (probably the Downloads folder)
 
-   While that is downloading, open Terminal and run the following commands one
-   at a time.
+While that is downloading, open Terminal and run the following commands one at a
+time.
 
-```bash
+```{ .bash .annotate }
 # install brew (and Xcode command line tools):
+/bin/bash -c \
+  "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
 
-/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
-
-# Now there are two different routes to get the Python (miniconda) environment up and running:
+# Now there are two different routes to get the Python (miniconda) environment
+# up and running:
+#
 # 1. Alongside pyenv
 # 2. No pyenv
 #
 # If you don't know what we are talking about, choose 2.
-#
+
 # NOW EITHER DO
 # 1. Installing alongside pyenv
 
-brew install pyenv-virtualenv # you might have this from before, no problem
+brew install pyenv-virtualenv # (1)!
 pyenv install anaconda3-2022.05
 pyenv virtualenv anaconda3-2022.05
 eval "$(pyenv init -)"
@@ -53,7 +58,7 @@ pyenv activate anaconda3-2022.05
 
 # OR,
 # 2. Installing standalone
-# install python 3, git, cmake:
+# install cmake and rust:
 brew install cmake rust
 
 # install miniconda for M1 arm64:
@@ -77,16 +82,21 @@ cd stable-diffusion
 # create symlink to checkpoint
 mkdir -p models/ldm/stable-diffusion-v1/
 
-PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
+PATH_TO_CKPT="$HOME/Downloads" # (2)!
 
-ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
+ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" \
+  models/ldm/stable-diffusion-v1/model.ckpt
 
 # install packages for arm64
-PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac.yaml
+PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 \
+  conda env create \
+  -f environment-mac.yaml
 conda activate ldm
 
 # OR install packages for x86_64
-PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-x86_64 conda env create -f environment-mac.yaml
+PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-x86_64 \
+  conda env create \
+  -f environment-mac.yaml
 conda activate ldm
 
 # only need to do this once
@@ -99,25 +109,32 @@ python scripts/dream.py --full_precision  # half-precision requires autocast and
 python scripts/dream.py --web
 ```
 
+1. you might have this from before, no problem
+2. or wherever you saved sd-v1-4.ckpt
+3. half-precision requires autocast and won't work
+
 The original scripts should work as well.
 
 ```bash
-python scripts/orig_scripts/txt2img.py --prompt "a photograph of an astronaut riding a horse" --plms
+python scripts/orig_scripts/txt2img.py \
+  --prompt "a photograph of an astronaut riding a horse" \
+  --plms
 ```
 
-Note,
+Note:
 
 ```bash
 export PIP_EXISTS_ACTION=w
 ```
 
-is a precaution to fix
+is a precaution to fix a problem where
 
 ```bash
-conda env create -f environment-mac.yaml
+conda env create \
+  -f environment-mac.yaml
 ```
 
-never finishing in some situations. So it isn't required but wont hurt.
+did never finish in some situations. So it isn't required but wont hurt.
 
 After you follow all the instructions and run dream.py you might get several
 errors. Here's the errors I've seen and found solutions for.
@@ -130,10 +147,10 @@ Be sure to specify 1 sample and 1 iteration.
 
 ```bash
 python ./scripts/orig_scripts/txt2img.py \
-      --prompt "ocean" \
-      --ddim_steps 5 \
-      --n_samples 1 \
-      --n_iter 1
+  --prompt "ocean" \
+  --ddim_steps 5 \
+  --n_samples 1 \
+  --n_iter 1
 ```
 
 ---
@@ -151,55 +168,76 @@ solution please
 One debugging step is to update to the latest version of PyTorch nightly.
 
 ```bash
-conda install pytorch torchvision torchaudio -c pytorch-nightly
+conda install \
+  pytorch \
+  torchvision \
+  torchaudio \
+  -c pytorch-nightly
 ```
 
 If it takes forever to run
 
 ```bash
-conda env create -f environment-mac.yaml
+conda env create \
+  -f environment-mac.yaml
 ```
 
-you could try to run `git clean -f` followed by:
+you could try to run:
 
-`conda clean --yes --all`
+```bash
+git clean -f
+conda clean \
+  --yes \
+  --all
+```
 
 Or you could try to completley reset Anaconda:
 
 ```bash
-conda update --force-reinstall -y -n base -c defaults conda
+conda update \
+  --force-reinstall \
+  -y \
+  -n base \
+  -c defaults conda
 ```
 
 ---
 
 ### "No module named cv2", torch, 'ldm', 'transformers', 'taming', etc
 
-There are several causes of these errors.
+There are several causes of these errors:
 
-- First, did you remember to `conda activate ldm`? If your terminal prompt
-  begins with "(ldm)" then you activated it. If it begins with "(base)" or
-  something else you haven't.
+1. Did you remember to `conda activate ldm`? If your terminal prompt begins with
+   "(ldm)" then you activated it. If it begins with "(base)" or something else
+   you haven't.
 
-- Second, you might've run `./scripts/preload_models.py` or `./scripts/dream.py`
-  instead of `python ./scripts/preload_models.py` or
-  `python ./scripts/dream.py`. The cause of this error is long so it's below.
+2. You might've run `./scripts/preload_models.py` or `./scripts/dream.py`
+   instead of `python ./scripts/preload_models.py` or
+   `python ./scripts/dream.py`. The cause of this error is long so it's below.
 
-- Third, if it says you're missing taming you need to rebuild your virtual
-  environment.
+    <!-- I could not find out where the error is, otherwise would have marked it as a footnote -->
 
-```bash
-conda deactivate
+3. if it says you're missing taming you need to rebuild your virtual
+   environment.
 
-conda env remove -n ldm
-PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac.yaml
-```
+    ```bash
+    conda deactivate
 
-Fourth, If you have activated the ldm virtual environment and tried rebuilding
-it, maybe the problem could be that I have something installed that you don't
-and you'll just need to manually install it. Make sure you activate the virtual
-environment so it installs there instead of globally.
+    conda env remove -n ldm
+    PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 \
+      conda env create \
+      -f environment-mac.yaml
+    ```
 
-`conda activate ldm pip install _name_`
+4. If you have activated the ldm virtual environment and tried rebuilding it,
+   maybe the problem could be that I have something installed that you don't and
+   you'll just need to manually install it. Make sure you activate the virtual
+   environment so it installs there instead of globally.
+
+    ```bash
+    conda activate ldm
+    pip install <package name>
+    ```
 
 You might also need to install Rust (I mention this again below).
 
@@ -259,21 +297,22 @@ output of `python3 -V` and `python -V`.
 /Users/name/miniforge3/envs/ldm/bin/python
 ```
 
-The above is what you'll see if you have miniforge and you've correctly
-activated the ldm environment, and you used option 2 in the setup instructions
-above ("no pyenv").
+The above is what you'll see if you have miniforge and correctly activated the
+ldm environment, while usingd option 2 in the setup instructions above ("no
+pyenv").
+
+If you otherwise used the first option ("alongside pyenv"), you will get this
+prompt:
 
 ```bash
 (anaconda3-2022.05) % which python
 /Users/name/.pyenv/shims/python
 ```
 
-... and the above is what you'll see if you used option 1 ("Alongside pyenv").
-
 It's all a mess and you should know
 [how to modify the path environment variable](https://support.apple.com/guide/terminal/use-environment-variables-apd382cc5fa-4f58-4449-b20a-41c53c006f8f/mac)
-if you want to fix it. Here's a brief hint of all the ways you can modify it
-(don't really have the time to explain it all here).
+if you want to fix it. Here's a brief hint of the most common ways you can
+modify it (don't really have the time to explain it all here).
 
 - ~/.zshrc
 - ~/.bash_profile
@@ -281,19 +320,20 @@ if you want to fix it. Here's a brief hint of all the ways you can modify it
 - /etc/paths.d
 - /etc/path
 
-Which one you use will depend on what you have installed except putting a file
-in /etc/paths.d is what I prefer to do.
+Which one you use will depend on what you have installed, except putting a file
+in /etc/paths.d - which also is the way I prefer to do.
 
 Finally, to answer the question posed by this section's title, it may help to
 list all of the `python` / `python3` things found in `$PATH` instead of just the
-one that will be executed by default. To do that, add the `-a` switch to
-`which`:
+first hit. To do so, add the `-a` switch to `which`:
 
 ```bash
 % which -a python3
 ...
 ```
 
+This will show a list of all binaries which are actually available in your PATH.
+
 ### Debugging?
 
 Tired of waiting for your renders to finish before you can see if it works?
@@ -301,10 +341,14 @@ Reduce the steps! The image quality will be horrible but at least you'll get
 quick feedback.
 
 ```bash
-python ./scripts/txt2img.py --prompt "ocean" --ddim_steps 5 --n_samples 1 --n_iter 1
+python ./scripts/txt2img.py \
+  --prompt "ocean" \
+  --ddim_steps 5 \
+  --n_samples 1 \
+  --n_iter 1
 ```
 
-### OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'...
+### OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'
 
 ```bash
 python scripts/preload_models.py
@@ -312,10 +356,7 @@ python scripts/preload_models.py
 
 ### "The operator [name] is not current implemented for the MPS device." (sic)
 
-Example error.
-
-```bash
-
+```bash title="example error"
 ... NotImplementedError: The operator 'aten::_index_put_impl_' is not current
 implemented for the MPS device. If you want this op to be added in priority
 during the prototype phase of this feature, please comment on
@@ -323,7 +364,6 @@ during the prototype phase of this feature, please comment on
 As a temporary fix, you can set the environment variable
 `PYTORCH_ENABLE_MPS_FALLBACK=1` to use the CPU as a fallback for this op.
 WARNING: this will be slower than running natively on MPS.
-
 ```
 
 The lstein branch includes this fix in
@@ -335,7 +375,10 @@ I have not seen this error because I had Rust installed on my computer before I
 started playing with Stable Diffusion. The fix is to install Rust.
 
 ```bash
-curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
+curl \
+  --proto '=https' \
+  --tlsv1.2 \
+  -sSf https://sh.rustup.rs | sh
 ```
 
 ### How come `--seed` doesn't work?
@@ -356,6 +399,7 @@ still working on it.
 ```bash
 OMP: Error #15: Initializing libiomp5.dylib, but found libomp.dylib already initialized.
 ```
+
 You are likely using an Intel package by mistake. Be sure to run conda with the
 environment variable `CONDA_SUBDIR=osx-arm64`, like so:
 

From ae963fcfdc24760220e4c1ec5ec8f03b2017d398 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Fri, 16 Sep 2022 22:26:42 +0200
Subject: [PATCH 045/110] fix codeblock anotations

---
 docs/installation/INSTALL_MAC.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 4f8a5477f6..5c3bc42082 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -50,7 +50,7 @@ time.
 # NOW EITHER DO
 # 1. Installing alongside pyenv
 
-brew install pyenv-virtualenv # (1)!
+brew install pyenv-virtualenv # (1)
 pyenv install anaconda3-2022.05
 pyenv virtualenv anaconda3-2022.05
 eval "$(pyenv init -)"
@@ -82,7 +82,7 @@ cd stable-diffusion
 # create symlink to checkpoint
 mkdir -p models/ldm/stable-diffusion-v1/
 
-PATH_TO_CKPT="$HOME/Downloads" # (2)!
+PATH_TO_CKPT="$HOME/Downloads" # (2)
 
 ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" \
   models/ldm/stable-diffusion-v1/model.ckpt
@@ -103,7 +103,7 @@ conda activate ldm
 python scripts/preload_models.py
 
 # run SD!
-python scripts/dream.py --full_precision  # half-precision requires autocast and won't work
+python scripts/dream.py --full_precision  # (3)
 
 # or run the web interface!
 python scripts/dream.py --web

From 17e755e0628174105cc79f8c8fceb9b42f050ef3 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sat, 17 Sep 2022 03:05:13 +0200
Subject: [PATCH 046/110] shorten long commands in codeblocks this way it looks
 much better in MkDocs Codeblocks (and ofc still works) also remove a markdown
 styled link from a bash-codeblock

---
 docs/installation/INSTALL_MAC.md | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 5c3bc42082..5e1968f038 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -62,11 +62,13 @@ pyenv activate anaconda3-2022.05
 brew install cmake rust
 
 # install miniconda for M1 arm64:
-curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o Miniconda3-latest-MacOSX-arm64.sh
+curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh \
+  -o Miniconda3-latest-MacOSX-arm64.sh
 /bin/bash Miniconda3-latest-MacOSX-arm64.sh
 
 # OR install miniconda for Intel:
-curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -o Miniconda3-latest-MacOSX-x86_64.sh
+curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh \
+  -o Miniconda3-latest-MacOSX-x86_64.sh
 /bin/bash Miniconda3-latest-MacOSX-x86_64.sh
 
 
@@ -222,7 +224,6 @@ There are several causes of these errors:
 
     ```bash
     conda deactivate
-
     conda env remove -n ldm
     PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 \
       conda env create \
@@ -360,7 +361,7 @@ python scripts/preload_models.py
 ... NotImplementedError: The operator 'aten::_index_put_impl_' is not current
 implemented for the MPS device. If you want this op to be added in priority
 during the prototype phase of this feature, please comment on
-[https://github.com/pytorch/pytorch/issues/77764](https://github.com/pytorch/pytorch/issues/77764).
+https://github.com/pytorch/pytorch/issues/77764.
 As a temporary fix, you can set the environment variable
 `PYTORCH_ENABLE_MPS_FALLBACK=1` to use the CPU as a fallback for this op.
 WARNING: this will be slower than running natively on MPS.

From 103b30f915208f1501109905dc0f9ca2744e5a13 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sat, 17 Sep 2022 03:49:11 +0200
Subject: [PATCH 047/110] update index.md with the new badges

---
 docs/index.md | 20 ++++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/docs/index.md b/docs/index.md
index bdde3cabd7..0a909c5d83 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -3,26 +3,30 @@ title: Home
 ---
 
 <!--
-  The Docs you find here (/docs/*) are built and deployed via mkdocs. If you want to do so from local it is pretty strait forward:
+  The Docs you find here (/docs/*) are built and deployed via mkdocs. If you want to run a local version to verify your changes, it's as simple as::
 
   ```bash
   pip install -r requirements-mkdocs.txt
   mkdocs serve -a localhost:8080
   ```
 -->
-
 <h1 align='center'><b>Stable Diffusion Dream Script</b></h1>
 
 <p align='center'>
-<img src="./assets/logo.png"/>
+    <img src="assets/logo.png"/>
 </p>
 
 <p align="center">
-    <img src="https://img.shields.io/github/last-commit/lstein/stable-diffusion?logo=Python&logoColor=green&style=for-the-badge" alt="last-commit"/>
-    <img src="https://img.shields.io/github/stars/lstein/stable-diffusion?logo=GitHub&style=for-the-badge" alt="stars"/>
-    <br>
-    <img src="https://img.shields.io/github/issues/lstein/stable-diffusion?logo=GitHub&style=for-the-badge" alt="issues"/>
-    <img src="https://img.shields.io/github/issues-pr/lstein/stable-diffusion?logo=GitHub&style=for-the-badge" alt="pull-requests"/>
+    <a href="https://github.com/lstein/stable-diffusion/releases"><img src="https://flat.badgen.net/github/release/lstein/stable-diffusion/development?icon=github" alt="release"/></a>
+    <a href="https://github.com/lstein/stable-diffusion/stargazers"><img src="https://flat.badgen.net/github/stars/lstein/stable-diffusion?icon=github" alt="stars"/></a>
+    <a href="https://useful-forks.github.io/?repo=lstein%2Fstable-diffusion"><img src="https://flat.badgen.net/github/forks/lstein/stable-diffusion?icon=github" alt="forks"/></a>
+    <br />
+    <a href="https://github.com/lstein/stable-diffusion/actions/workflows/test-dream-conda.yml"><img src="https://flat.badgen.net/github/checks/lstein/stable-diffusion/main?label=CI%20status%20on%20main&cache=900&icon=github" alt="CI status on main"/></a>
+    <a href="https://github.com/lstein/stable-diffusion/actions/workflows/test-dream-conda.yml"><img src="https://flat.badgen.net/github/checks/lstein/stable-diffusion/development?label=CI%20status%20on%20dev&cache=900&icon=github" alt="CI status on dev"/></a>
+    <a href="https://github.com/lstein/stable-diffusion/commits/development"><img src="https://flat.badgen.net/github/last-commit/lstein/stable-diffusion/development?icon=github&color=yellow&label=last%20dev%20commit&cache=900" alt="last-dev-commit"/></a>
+    <br />
+    <a href="https://github.com/lstein/stable-diffusion/issues?q=is%3Aissue+is%3Aopen"><img src="https://flat.badgen.net/github/open-issues/lstein/stable-diffusion?icon=github" alt="open-issues"/></a>
+    <a href="https://github.com/lstein/stable-diffusion/pulls?q=is%3Apr+is%3Aopen"><img src="https://flat.badgen.net/github/open-prs/lstein/stable-diffusion?icon=github" alt="open-prs"/></a>
 </p>
 
 This is a fork of [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion), the open

From 7b28b5c9a1aed56fdba8247ae9f5457b24bd60ef Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sat, 17 Sep 2022 05:17:21 +0200
Subject: [PATCH 048/110] update format in EMBIGGEN.md to make use of mkdocs

---
 docs/features/EMBIGGEN.md | 20 ++++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/docs/features/EMBIGGEN.md b/docs/features/EMBIGGEN.md
index 70f35fe758..ae12f29b6d 100644
--- a/docs/features/EMBIGGEN.md
+++ b/docs/features/EMBIGGEN.md
@@ -1,4 +1,8 @@
-# **Embiggen -- upscale your images on limited memory machines**
+---
+title: Embiggen
+---
+
+**upscale your images on limited memory machines**
 
 GFPGAN and Real-ESRGAN are both memory intensive. In order to avoid
 crashes and memory overloads during the Stable Diffusion process,
@@ -16,7 +20,7 @@ face restore a particular generated image, pass it again with the same
 prompt and generated seed along with the `-U` and `-G` prompt
 arguments to perform those actions.
 
-## Embiggen 
+## Embiggen
 
 If you wanted to be able to do more (pixels) without running out of VRAM,
 or you want to upscale with details that couldn't possibly appear
@@ -37,7 +41,7 @@ it's similar to that, except it can work up to an arbitrarily large size
 has extra logic to re-run any number of the tile sub-sections of the image
 if for example a small part of a huge run got messed up.
 
-**Usage**
+## Usage
 
 `-embiggen <scaling_factor> <esrgan_strength> <overlap_ratio OR overlap_pixels>`
 
@@ -95,12 +99,12 @@ Tiles are numbered starting with one, and left-to-right,
 top-to-bottom.  So, if you are generating a 3x3 tiled image, the
 middle row would be `4 5 6`.
 
-**Example Usage**
+## Example Usage
 
 Running Embiggen with 512x512 tiles on an existing image, scaling up by a factor of 2.5x;
 and doing the same again (default ESRGAN strength is 0.75, default overlap between tiles is 0.25):
 
-```
+```bash
 dream > a photo of a forest at sunset -s 100 -W 512 -H 512 -I outputs/forest.png -f 0.4 -embiggen 2.5
 dream > a photo of a forest at sunset -s 100 -W 512 -H 512 -I outputs/forest.png -f 0.4 -embiggen 2.5 0.75 0.25
 ```
@@ -112,11 +116,11 @@ If there weren't enough clouds in the sky of that forest you just made
 512x512 tiles with 0.25 overlaps wide) we can replace that top row of
 tiles:
 
-```
+```bash
 dream> a photo of puffy clouds over a forest at sunset -s 100 -W 512 -H 512 -I outputs/000002.seed.png -f 0.5 -embiggen_tiles 1 2 3
 ```
 
-**Note**
+## Note
 
 Because the same prompt is used on all the tiled images, and the model
 doesn't have the context of anything outside the tile being run - it
@@ -131,4 +135,4 @@ are more abstract. Because this is (relatively) fast, you can also
 always create a few Embiggen'ed images and manually composite them to
 preserve the best parts from each.
 
-Author: [Travco](https://github.com/travco)
\ No newline at end of file
+Author: [Travco](https://github.com/travco)

From b9183b00a03f51654f01892f944a4d15d1040dbb Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sat, 17 Sep 2022 06:34:38 +0200
Subject: [PATCH 049/110] add Content tabs

---
 docs/installation/INSTALL_MAC.md | 123 ++++++++++++++++++-------------
 1 file changed, 70 insertions(+), 53 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 5e1968f038..2ab7c6de83 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -31,50 +31,57 @@ some time:
    [sd-v1-4.ckpt (4.27 GB)](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/blob/main/sd-v1-4.ckpt)
    and note where you have saved it (probably the Downloads folder)
 
-While that is downloading, open Terminal and run the following commands one at a
-time.
+While that is downloading, open a Terminal and run the following commands:
 
-```{ .bash .annotate }
-# install brew (and Xcode command line tools):
+```bash title="install brew (and Xcode command line tools)"
 /bin/bash -c \
   "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
+```
 
-# Now there are two different routes to get the Python (miniconda) environment
-# up and running:
-#
-# 1. Alongside pyenv
-# 2. No pyenv
-#
-# If you don't know what we are talking about, choose 2.
+!!! quote "Conda Installation"
+    Now there are two different ways to set up the Python (miniconda) environment:
 
-# NOW EITHER DO
-# 1. Installing alongside pyenv
+    1. Standalone
+    2. with pyenv
+    
+    If you don't know what we are talking about, choose Standalone
 
-brew install pyenv-virtualenv # (1)
-pyenv install anaconda3-2022.05
-pyenv virtualenv anaconda3-2022.05
-eval "$(pyenv init -)"
-pyenv activate anaconda3-2022.05
+    === "Standalone"
 
-# OR,
-# 2. Installing standalone
-# install cmake and rust:
-brew install cmake rust
+        ```bash
+        # install cmake and rust:
+        brew install cmake rust
+        ```
 
-# install miniconda for M1 arm64:
-curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh \
-  -o Miniconda3-latest-MacOSX-arm64.sh
-/bin/bash Miniconda3-latest-MacOSX-arm64.sh
+        === "M1 arm64"
 
-# OR install miniconda for Intel:
-curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh \
-  -o Miniconda3-latest-MacOSX-x86_64.sh
-/bin/bash Miniconda3-latest-MacOSX-x86_64.sh
+            ```bash
+            # install miniconda for M1 arm64:
+            curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh \
+              -o Miniconda3-latest-MacOSX-arm64.sh
+            /bin/bash Miniconda3-latest-MacOSX-arm64.sh
+            ```
 
+        === "Intel x86_64"
 
-# EITHER WAY,
-# continue from here
+            ```bash
+            # OR install miniconda for Intel:
+            curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh \
+              -o Miniconda3-latest-MacOSX-x86_64.sh
+            /bin/bash Miniconda3-latest-MacOSX-x86_64.sh
+            ```
 
+    === "with pyenv"
+
+        ```bash
+        brew install pyenv-virtualenv # you might already have this installed, no problem
+        pyenv install anaconda3-2022.05
+        pyenv virtualenv anaconda3-2022.05
+        eval "$(pyenv init -)"
+        pyenv activate anaconda3-2022.05
+        ```
+
+```{.bash .annotate}
 # clone the repo
 git clone https://github.com/lstein/stable-diffusion.git
 cd stable-diffusion
@@ -84,45 +91,55 @@ cd stable-diffusion
 # create symlink to checkpoint
 mkdir -p models/ldm/stable-diffusion-v1/
 
-PATH_TO_CKPT="$HOME/Downloads" # (2)
+PATH_TO_CKPT="$HOME/Downloads" # (1)
 
 ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" \
   models/ldm/stable-diffusion-v1/model.ckpt
 
-# install packages for arm64
-PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 \
-  conda env create \
-  -f environment-mac.yaml
-conda activate ldm
+```
 
-# OR install packages for x86_64
-PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-x86_64 \
-  conda env create \
-  -f environment-mac.yaml
-conda activate ldm
+1. or wherever you saved sd-v1-4.ckpt
 
+!!! quote "Please install the propper package for your Architecture:"
+
+    === "M1 arm64"
+
+        ```bash
+        PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 \
+          conda env create \
+          -f environment-mac.yaml \
+          && conda activate ldm
+        ```
+
+    === "Intel x86_64"
+
+        ```bash
+        PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-x86_64 \
+          conda env create \
+          -f environment-mac.yaml \
+          && conda activate ldm
+        ```
+
+```{.bash .annotate}
 # only need to do this once
 python scripts/preload_models.py
 
-# run SD!
-python scripts/dream.py --full_precision  # (3)
+# now you can run SD in CLI mode
+python scripts/dream.py --full_precision  # (1)
 
 # or run the web interface!
 python scripts/dream.py --web
-```
 
-1. you might have this from before, no problem
-2. or wherever you saved sd-v1-4.ckpt
-3. half-precision requires autocast and won't work
-
-The original scripts should work as well.
-
-```bash
+# The original scripts should work as well.
 python scripts/orig_scripts/txt2img.py \
   --prompt "a photograph of an astronaut riding a horse" \
   --plms
 ```
 
+1. half-precision requires autocast which is unfortunatelly incompatible
+
+---
+
 Note:
 
 ```bash

From ed8ee8c690a69e2521d137c9ad599c9be5d3d911 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sat, 17 Sep 2022 07:55:55 +0200
Subject: [PATCH 050/110] update install-mode refference

---
 docs/installation/INSTALL_MAC.md | 42 ++++++++++++++++++++------------
 1 file changed, 27 insertions(+), 15 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 2ab7c6de83..c45512e77b 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -100,7 +100,7 @@ ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" \
 
 1. or wherever you saved sd-v1-4.ckpt
 
-!!! quote "Please install the propper package for your Architecture:"
+!!! quote "Select the propper Architecture"
 
     === "M1 arm64"
 
@@ -138,15 +138,9 @@ python scripts/orig_scripts/txt2img.py \
 
 1. half-precision requires autocast which is unfortunatelly incompatible
 
----
-
 Note:
 
-```bash
-export PIP_EXISTS_ACTION=w
-```
-
-is a precaution to fix a problem where
+`#!bash export PIP_EXISTS_ACTION=w` is a precaution to fix a problem where
 
 ```bash
 conda env create \
@@ -155,11 +149,13 @@ conda env create \
 
 did never finish in some situations. So it isn't required but wont hurt.
 
-After you follow all the instructions and run dream.py you might get several
-errors. Here's the errors I've seen and found solutions for.
-
 ---
 
+## Common problems
+
+After you followed all the instructions and try to run dream.py, you might
+get several errors. Here's the errors I've seen and found solutions for.
+
 ### Is it slow?
 
 Be sure to specify 1 sample and 1 iteration.
@@ -316,11 +312,9 @@ output of `python3 -V` and `python -V`.
 ```
 
 The above is what you'll see if you have miniforge and correctly activated the
-ldm environment, while usingd option 2 in the setup instructions above ("no
-pyenv").
+ldm environment, while usingd the standalone setup instructions above.
 
-If you otherwise used the first option ("alongside pyenv"), you will get this
-prompt:
+If you otherwise installed via pyenv, you will get this result:
 
 ```bash
 (anaconda3-2022.05) % which python
@@ -352,6 +346,8 @@ first hit. To do so, add the `-a` switch to `which`:
 
 This will show a list of all binaries which are actually available in your PATH.
 
+---
+
 ### Debugging?
 
 Tired of waiting for your renders to finish before you can see if it works?
@@ -366,12 +362,16 @@ python ./scripts/txt2img.py \
   --n_iter 1
 ```
 
+---
+
 ### OSError: Can't load tokenizer for 'openai/clip-vit-large-patch14'
 
 ```bash
 python scripts/preload_models.py
 ```
 
+---
+
 ### "The operator [name] is not current implemented for the MPS device." (sic)
 
 ```bash title="example error"
@@ -387,6 +387,8 @@ WARNING: this will be slower than running natively on MPS.
 The lstein branch includes this fix in
 [environment-mac.yaml](https://github.com/lstein/stable-diffusion/blob/main/environment-mac.yaml).
 
+---
+
 ### "Could not build wheels for tokenizers"
 
 I have not seen this error because I had Rust installed on my computer before I
@@ -399,6 +401,8 @@ curl \
   -sSf https://sh.rustup.rs | sh
 ```
 
+---
+
 ### How come `--seed` doesn't work?
 
 First this:
@@ -432,6 +436,8 @@ is a metapackage designed to prevent this, by making it impossible to install
 Do _not_ use `os.environ['KMP_DUPLICATE_LIB_OK']='True'` or equivalents as this
 masks the underlying issue of using Intel packages.
 
+---
+
 ### Not enough memory
 
 This seems to be a common problem and is probably the underlying problem for a
@@ -443,6 +449,8 @@ how that would affect the quality of the images though.
 
 See [this issue](https://github.com/CompVis/stable-diffusion/issues/71).
 
+---
+
 ### "Error: product of dimension sizes > 2\*\*31'"
 
 This error happens with img2img, which I haven't played with too much yet. But I
@@ -457,6 +465,8 @@ BTW, 2\*\*31-1 =
 is also 32-bit signed [LONG_MAX](https://en.wikipedia.org/wiki/C_data_types) in
 C.
 
+---
+
 ### I just got Rickrolled! Do I have a virus?
 
 You don't have a virus. It's part of the project. Here's
@@ -469,6 +479,8 @@ call this "computer vision", sheesh).
 Actually, this could be happening because there's not enough RAM. You could try
 the `model.half()` suggestion or specify smaller output images.
 
+---
+
 ### My images come out black
 
 We might have this fixed, we are still testing.

From e45f46d6731a6499871583bfa02a1739d969f06e Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sat, 17 Sep 2022 16:32:59 +1000
Subject: [PATCH 051/110] Improves code structure, comments, formatting,
 linting

---
 frontend/README.md                            |  88 +--
 frontend/dist/assets/index.3d2e59c5.js        | 694 +++++++++++++++++
 frontend/dist/assets/index.cc5cde43.js        | 695 ------------------
 frontend/dist/index.html                      |   2 +-
 frontend/package.json                         |   3 +-
 frontend/src/App.tsx                          |  85 +--
 frontend/src/app/parameterTranslation.ts      |   8 +-
 frontend/src/components/SDButton.tsx          |  19 +-
 frontend/src/components/SDNumberInput.tsx     |   7 +-
 frontend/src/components/SDSelect.tsx          |  95 ++-
 frontend/src/components/SDSwitch.tsx          |   5 +-
 .../src/features/gallery/CurrentImage.tsx     | 161 ----
 .../features/gallery/CurrentImageButtons.tsx  | 141 ++++
 .../features/gallery/CurrentImageDisplay.tsx  |  67 ++
 .../src/features/gallery/DeleteImageModal.tsx | 121 +++
 .../gallery/DeleteImageModalButton.tsx        |  94 ---
 .../src/features/gallery/HoverableImage.tsx   | 131 ++++
 .../src/features/gallery/ImageGallery.tsx     |  35 +
 .../features/gallery/ImageMetadataViewer.tsx  | 222 +++---
 frontend/src/features/gallery/ImageRoll.tsx   | 150 ----
 frontend/src/features/header/SiteHeader.tsx   |  44 +-
 frontend/src/features/sd/ESRGANOptions.tsx    | 111 +--
 frontend/src/features/sd/GFPGANOptions.tsx    |  79 +-
 .../src/features/sd/ImageToImageOptions.tsx   |  79 +-
 frontend/src/features/sd/ImageUploader.tsx    |  63 ++
 .../{InitImage.css => InitAndMaskImage.css}   |   0
 frontend/src/features/sd/InitAndMaskImage.tsx |  57 ++
 .../features/sd/InitAndMaskUploadButtons.tsx  | 131 ++++
 frontend/src/features/sd/InitImage.tsx        | 155 ----
 frontend/src/features/sd/MaskUploader.tsx     |  61 --
 frontend/src/features/sd/OptionsAccordion.tsx | 362 ++++-----
 frontend/src/features/sd/OutputOptions.tsx    |  94 +--
 frontend/src/features/sd/ProcessButtons.tsx   |  84 ++-
 frontend/src/features/sd/PromptInput.tsx      |  15 +-
 frontend/src/features/sd/SDSlider.tsx         |  51 --
 frontend/src/features/sd/SamplerOptions.tsx   |  88 ++-
 .../src/features/sd/SeedVariationOptions.tsx  | 257 ++++---
 frontend/src/features/sd/Variant.tsx          |  92 ---
 frontend/src/features/sd/sdSlice.ts           |  18 +-
 frontend/src/features/system/LogViewer.tsx    | 199 +++--
 .../src/features/system/SettingsModal.tsx     | 278 ++++---
 .../src/features/system/useCheckParameters.ts | 158 ++--
 42 files changed, 2655 insertions(+), 2644 deletions(-)
 create mode 100644 frontend/dist/assets/index.3d2e59c5.js
 delete mode 100644 frontend/dist/assets/index.cc5cde43.js
 delete mode 100644 frontend/src/features/gallery/CurrentImage.tsx
 create mode 100644 frontend/src/features/gallery/CurrentImageButtons.tsx
 create mode 100644 frontend/src/features/gallery/CurrentImageDisplay.tsx
 create mode 100644 frontend/src/features/gallery/DeleteImageModal.tsx
 delete mode 100644 frontend/src/features/gallery/DeleteImageModalButton.tsx
 create mode 100644 frontend/src/features/gallery/HoverableImage.tsx
 create mode 100644 frontend/src/features/gallery/ImageGallery.tsx
 delete mode 100644 frontend/src/features/gallery/ImageRoll.tsx
 create mode 100644 frontend/src/features/sd/ImageUploader.tsx
 rename frontend/src/features/sd/{InitImage.css => InitAndMaskImage.css} (100%)
 create mode 100644 frontend/src/features/sd/InitAndMaskImage.tsx
 create mode 100644 frontend/src/features/sd/InitAndMaskUploadButtons.tsx
 delete mode 100644 frontend/src/features/sd/InitImage.tsx
 delete mode 100644 frontend/src/features/sd/MaskUploader.tsx
 delete mode 100644 frontend/src/features/sd/SDSlider.tsx
 delete mode 100644 frontend/src/features/sd/Variant.tsx

diff --git a/frontend/README.md b/frontend/README.md
index 6928e27b49..a611738808 100644
--- a/frontend/README.md
+++ b/frontend/README.md
@@ -1,85 +1,25 @@
 # Stable Diffusion Web UI
 
-Demo at https://peaceful-otter-7a427f.netlify.app/ (not connected to back end)
-
-much of this readme is just notes for myself during dev work
-
-numpy rand: 0 to 4294967295
-
-## Test and Build
+## Build
 
 from `frontend/`:
 
--   `yarn dev` runs `tsc-watch`, which runs `vite build` on successful `tsc` transpilation
+- `yarn dev` runs vite dev server
+- `yarn build-dev` builds dev
+- `yarn build` builds prod
 
 from `.`:
 
--   `python backend/server.py` serves both frontend and backend at http://localhost:9090
-
-## API
-
-`backend/server.py` serves the UI and provides a [socket.io](https://github.com/socketio/socket.io) API via [flask-socketio](https://github.com/miguelgrinberg/flask-socketio).
-
-### Server Listeners
-
-The server listens for these socket.io events:
-
-`cancel`
-
--   Cancels in-progress image generation
--   Returns ack only
-
-`generateImage`
-
--   Accepts object of image parameters
--   Generates an image
--   Returns ack only (image generation function sends progress and result via separate events)
-
-`deleteImage`
-
--   Accepts file path to image
--   Deletes image
--   Returns ack only
-
-`deleteAllImages` WIP
-
--   Deletes all images in `outputs/`
--   Returns ack only
-
-`requestAllImages`
-
--   Returns array of all images in `outputs/`
-
-`requestCapabilities` WIP
-
--   Returns capabilities of server (torch device, GFPGAN and ESRGAN availability, ???)
-
-`sendImage` WIP
-
--   Accepts a File and attributes
--   Saves image
--   Used to save init images which are not generated images
-
-### Server Emitters
-
-`progress`
-
--   Emitted during each step in generation
--   Sends a number from 0 to 1 representing percentage of steps completed
-
-`result` WIP
-
--   Emitted when an image generation has completed
--   Sends a object:
-
-```
-{
-    url: relative_file_path,
-    metadata: image_metadata_object
-}
-```
+- `python backend/server.py` serves both frontend and backend at http://localhost:9090
 
 ## TODO
 
--   Search repo for "TODO"
--   My one gripe with Chakra: no way to disable all animations right now and drop the dependence on `framer-motion`. I would prefer to save the ~30kb on bundle and have zero animations. This is on the Chakra roadmap. See https://github.com/chakra-ui/chakra-ui/pull/6368 for last discussion on this. Need to check in on this issue periodically.
+- Search repo for "TODO"
+- My one gripe with Chakra: no way to disable all animations right now and drop the dependence on
+  `framer-motion`. I would prefer to save the ~30kb on bundle and have zero animations. This is on
+  the Chakra roadmap. See https://github.com/chakra-ui/chakra-ui/pull/6368 for last discussion on
+  this. Need to check in on this issue periodically.
+- More status info e.g. phase of processing, image we are on of the total count, etc
+- Mobile friendly layout
+- Proper image gallery/viewer/manager
+- Instead of deleting images directly, use something like [send2trash](https://pypi.org/project/Send2Trash/)
diff --git a/frontend/dist/assets/index.3d2e59c5.js b/frontend/dist/assets/index.3d2e59c5.js
new file mode 100644
index 0000000000..ca609e8fa2
--- /dev/null
+++ b/frontend/dist/assets/index.3d2e59c5.js
@@ -0,0 +1,694 @@
+function WV(e,t){for(var r=0;r<t.length;r++){const i=t[r];if(typeof i!="string"&&!Array.isArray(i)){for(const s in i)if(s!=="default"&&!(s in e)){const c=Object.getOwnPropertyDescriptor(i,s);c&&Object.defineProperty(e,s,c.get?c:{enumerable:!0,get:()=>i[s]})}}}return Object.freeze(Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}))}(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const s of document.querySelectorAll('link[rel="modulepreload"]'))i(s);new MutationObserver(s=>{for(const c of s)if(c.type==="childList")for(const u of c.addedNodes)u.tagName==="LINK"&&u.rel==="modulepreload"&&i(u)}).observe(document,{childList:!0,subtree:!0});function r(s){const c={};return s.integrity&&(c.integrity=s.integrity),s.referrerpolicy&&(c.referrerPolicy=s.referrerpolicy),s.crossorigin==="use-credentials"?c.credentials="include":s.crossorigin==="anonymous"?c.credentials="omit":c.credentials="same-origin",c}function i(s){if(s.ep)return;s.ep=!0;const c=r(s);fetch(s.href,c)}})();var lc=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function GV(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var D={exports:{}},OA={exports:{}};/**
+ * @license React
+ * react.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */(function(e,t){(function(){typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart(new Error);var r="18.2.0",i=Symbol.for("react.element"),s=Symbol.for("react.portal"),c=Symbol.for("react.fragment"),u=Symbol.for("react.strict_mode"),h=Symbol.for("react.profiler"),m=Symbol.for("react.provider"),v=Symbol.for("react.context"),b=Symbol.for("react.forward_ref"),x=Symbol.for("react.suspense"),C=Symbol.for("react.suspense_list"),_=Symbol.for("react.memo"),N=Symbol.for("react.lazy"),A=Symbol.for("react.offscreen"),I=Symbol.iterator,j="@@iterator";function M(S){if(S===null||typeof S!="object")return null;var R=I&&S[I]||S[j];return typeof R=="function"?R:null}var z={current:null},U={transition:null},V={current:null,isBatchingLegacy:!1,didScheduleLegacyUpdate:!1},K={current:null},X={},de=null;function ve(S){de=S}X.setExtraStackFrame=function(S){de=S},X.getCurrentStack=null,X.getStackAddendum=function(){var S="";de&&(S+=de);var R=X.getCurrentStack;return R&&(S+=R()||""),S};var se=!1,be=!1,Xe=!1,ie=!1,ce=!1,Re={ReactCurrentDispatcher:z,ReactCurrentBatchConfig:U,ReactCurrentOwner:K};Re.ReactDebugCurrentFrame=X,Re.ReactCurrentActQueue=V;function Ce(S){{for(var R=arguments.length,$=new Array(R>1?R-1:0),G=1;G<R;G++)$[G-1]=arguments[G];Se("warn",S,$)}}function oe(S){{for(var R=arguments.length,$=new Array(R>1?R-1:0),G=1;G<R;G++)$[G-1]=arguments[G];Se("error",S,$)}}function Se(S,R,$){{var G=Re.ReactDebugCurrentFrame,te=G.getStackAddendum();te!==""&&(R+="%s",$=$.concat([te]));var Fe=$.map(function(xe){return String(xe)});Fe.unshift("Warning: "+R),Function.prototype.apply.call(console[S],console,Fe)}}var Te={};function pe(S,R){{var $=S.constructor,G=$&&($.displayName||$.name)||"ReactClass",te=G+"."+R;if(Te[te])return;oe("Can't call %s on a component that is not yet mounted. 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+Your code should look like: 
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+
+Did you accidentally put curly braces around the import?`,te),"default"in te||oe(`lazy: Expected the result of a dynamic import() call. Instead received: %s
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+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */(function(e){(function(){typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart(new Error);var t=!1,r=!1,i=5;function s(je,rt){var xt=je.length;je.push(rt),h(je,rt,xt)}function c(je){return je.length===0?null:je[0]}function u(je){if(je.length===0)return null;var rt=je[0],xt=je.pop();return xt!==rt&&(je[0]=xt,m(je,xt,0)),rt}function h(je,rt,xt){for(var dn=xt;dn>0;){var Xt=dn-1>>>1,wn=je[Xt];if(v(wn,rt)>0)je[Xt]=rt,je[dn]=wn,dn=Xt;else return}}function m(je,rt,xt){for(var dn=xt,Xt=je.length,wn=Xt>>>1;dn<wn;){var Dn=(dn+1)*2-1,Nr=je[Dn],Tn=Dn+1,ca=je[Tn];if(v(Nr,rt)<0)Tn<Xt&&v(ca,Nr)<0?(je[dn]=ca,je[Tn]=rt,dn=Tn):(je[dn]=Nr,je[Dn]=rt,dn=Dn);else if(Tn<Xt&&v(ca,rt)<0)je[dn]=ca,je[Tn]=rt,dn=Tn;else return}}function v(je,rt){var xt=je.sortIndex-rt.sortIndex;return xt!==0?xt:je.id-rt.id}var b=1,x=2,C=3,_=4,N=5;function A(je,rt){}var I=typeof performance=="object"&&typeof performance.now=="function";if(I){var j=performance;e.unstable_now=function(){return j.now()}}else{var M=Date,z=M.now();e.unstable_now=function(){return M.now()-z}}var U=1073741823,V=-1,K=250,X=5e3,de=1e4,ve=U,se=[],be=[],Xe=1,ie=null,ce=C,Re=!1,Ce=!1,oe=!1,Se=typeof setTimeout=="function"?setTimeout:null,Te=typeof clearTimeout=="function"?clearTimeout:null,pe=typeof setImmediate<"u"?setImmediate:null;typeof navigator<"u"&&navigator.scheduling!==void 0&&navigator.scheduling.isInputPending!==void 0&&navigator.scheduling.isInputPending.bind(navigator.scheduling);function we(je){for(var rt=c(be);rt!==null;){if(rt.callback===null)u(be);else if(rt.startTime<=je)u(be),rt.sortIndex=rt.expirationTime,s(se,rt);else return;rt=c(be)}}function Ie(je){if(oe=!1,we(je),!Ce)if(c(se)!==null)Ce=!0,Jt(Le);else{var rt=c(be);rt!==null&&Tt(Ie,rt.startTime-je)}}function Le(je,rt){Ce=!1,oe&&(oe=!1,ke()),Re=!0;var xt=ce;try{var dn;if(!r)return Ye(je,rt)}finally{ie=null,ce=xt,Re=!1}}function Ye(je,rt){var xt=rt;for(we(xt),ie=c(se);ie!==null&&!t&&!(ie.expirationTime>xt&&(!je||ir()));){var dn=ie.callback;if(typeof dn=="function"){ie.callback=null,ce=ie.priorityLevel;var Xt=ie.expirationTime<=xt,wn=dn(Xt);xt=e.unstable_now(),typeof wn=="function"?ie.callback=wn:ie===c(se)&&u(se),we(xt)}else u(se);ie=c(se)}if(ie!==null)return!0;var Dn=c(be);return Dn!==null&&Tt(Ie,Dn.startTime-xt),!1}function st(je,rt){switch(je){case b:case x:case C:case _:case N:break;default:je=C}var xt=ce;ce=je;try{return rt()}finally{ce=xt}}function mt(je){var rt;switch(ce){case b:case x:case C:rt=C;break;default:rt=ce;break}var xt=ce;ce=rt;try{return je()}finally{ce=xt}}function Gt(je){var rt=ce;return function(){var xt=ce;ce=rt;try{return je.apply(this,arguments)}finally{ce=xt}}}function Qe(je,rt,xt){var dn=e.unstable_now(),Xt;if(typeof xt=="object"&&xt!==null){var wn=xt.delay;typeof wn=="number"&&wn>0?Xt=dn+wn:Xt=dn}else Xt=dn;var Dn;switch(je){case b:Dn=V;break;case x:Dn=K;break;case N:Dn=ve;break;case _:Dn=de;break;case C:default:Dn=X;break}var Nr=Xt+Dn,Tn={id:Xe++,callback:rt,priorityLevel:je,startTime:Xt,expirationTime:Nr,sortIndex:-1};return Xt>dn?(Tn.sortIndex=Xt,s(be,Tn),c(se)===null&&Tn===c(be)&&(oe?ke():oe=!0,Tt(Ie,Xt-dn))):(Tn.sortIndex=Nr,s(se,Tn),!Ce&&!Re&&(Ce=!0,Jt(Le))),Tn}function vt(){}function Et(){!Ce&&!Re&&(Ce=!0,Jt(Le))}function zt(){return c(se)}function We(je){je.callback=null}function Yt(){return ce}var ye=!1,Mt=null,Kt=-1,St=i,ar=-1;function ir(){var je=e.unstable_now()-ar;return!(je<St)}function Bt(){}function fn(je){if(je<0||je>125){console.error("forceFrameRate takes a positive int between 0 and 125, forcing frame rates higher than 125 fps is not supported");return}je>0?St=Math.floor(1e3/je):St=i}var kn=function(){if(Mt!==null){var je=e.unstable_now();ar=je;var rt=!0,xt=!0;try{xt=Mt(rt,je)}finally{xt?hn():(ye=!1,Mt=null)}}else ye=!1},hn;if(typeof pe=="function")hn=function(){pe(kn)};else if(typeof MessageChannel<"u"){var Ve=new MessageChannel,Ze=Ve.port2;Ve.port1.onmessage=kn,hn=function(){Ze.postMessage(null)}}else hn=function(){Se(kn,0)};function Jt(je){Mt=je,ye||(ye=!0,hn())}function Tt(je,rt){Kt=Se(function(){je(e.unstable_now())},rt)}function ke(){Te(Kt),Kt=-1}var jt=Bt,xn=null;e.unstable_IdlePriority=N,e.unstable_ImmediatePriority=b,e.unstable_LowPriority=_,e.unstable_NormalPriority=C,e.unstable_Profiling=xn,e.unstable_UserBlockingPriority=x,e.unstable_cancelCallback=We,e.unstable_continueExecution=Et,e.unstable_forceFrameRate=fn,e.unstable_getCurrentPriorityLevel=Yt,e.unstable_getFirstCallbackNode=zt,e.unstable_next=mt,e.unstable_pauseExecution=vt,e.unstable_requestPaint=jt,e.unstable_runWithPriority=st,e.unstable_scheduleCallback=Qe,e.unstable_shouldYield=ir,e.unstable_wrapCallback=Gt,typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop(new Error)})()})(v3);(function(e){e.exports=v3})(m3);/**
+ * @license React
+ * react-dom.development.js
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+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
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See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move code with side effects to componentDidMount, and set initial state in the constructor.
+
+Please update the following components: %s`,w)}if(f.size>0){var T=ip(f);u(`Using UNSAFE_componentWillReceiveProps in strict mode is not recommended and may indicate bugs in your code. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move data fetching code or side effects to componentDidUpdate.
+* If you're updating state whenever props change, refactor your code to use memoization techniques or move it to static getDerivedStateFromProps. Learn more at: https://reactjs.org/link/derived-state
+
+Please update the following components: %s`,T)}if(y.size>0){var O=ip(y);u(`Using UNSAFE_componentWillUpdate in strict mode is not recommended and may indicate bugs in your code. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move data fetching code or side effects to componentDidUpdate.
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+Please update the following components: %s`,O)}if(n.size>0){var F=ip(n);c(`componentWillMount has been renamed, and is not recommended for use. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move code with side effects to componentDidMount, and set initial state in the constructor.
+* Rename componentWillMount to UNSAFE_componentWillMount to suppress this warning in non-strict mode. In React 18.x, only the UNSAFE_ name will work. To rename all deprecated lifecycles to their new names, you can run \`npx react-codemod rename-unsafe-lifecycles\` in your project source folder.
+
+Please update the following components: %s`,F)}if(o.size>0){var H=ip(o);c(`componentWillReceiveProps has been renamed, and is not recommended for use. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move data fetching code or side effects to componentDidUpdate.
+* If you're updating state whenever props change, refactor your code to use memoization techniques or move it to static getDerivedStateFromProps. Learn more at: https://reactjs.org/link/derived-state
+* Rename componentWillReceiveProps to UNSAFE_componentWillReceiveProps to suppress this warning in non-strict mode. In React 18.x, only the UNSAFE_ name will work. To rename all deprecated lifecycles to their new names, you can run \`npx react-codemod rename-unsafe-lifecycles\` in your project source folder.
+
+Please update the following components: %s`,H)}if(p.size>0){var ee=ip(p);c(`componentWillUpdate has been renamed, and is not recommended for use. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move data fetching code or side effects to componentDidUpdate.
+* Rename componentWillUpdate to UNSAFE_componentWillUpdate to suppress this warning in non-strict mode. In React 18.x, only the UNSAFE_ name will work. To rename all deprecated lifecycles to their new names, you can run \`npx react-codemod rename-unsafe-lifecycles\` in your project source folder.
+
+Please update the following components: %s`,ee)}};var US=new Map,gD=new Set;ol.recordLegacyContextWarning=function(n,a){var o=yj(n);if(o===null){u("Expected to find a StrictMode component in a strict mode tree. This error is likely caused by a bug in React. Please file an issue.");return}if(!gD.has(n.type)){var f=US.get(o);(n.type.contextTypes!=null||n.type.childContextTypes!=null||a!==null&&typeof a.getChildContext=="function")&&(f===void 0&&(f=[],US.set(o,f)),f.push(n))}},ol.flushLegacyContextWarning=function(){US.forEach(function(n,a){if(n.length!==0){var o=n[0],f=new Set;n.forEach(function(y){f.add(It(y)||"Component"),gD.add(y.type)});var p=ip(f);try{er(o),u(`Legacy context API has been detected within a strict-mode tree.
+
+The old API will be supported in all 16.x releases, but applications using it should migrate to the new version.
+
+Please update the following components: %s
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+Learn more about this warning here: https://reactjs.org/link/legacy-context`,p)}finally{Cr()}}})},ol.discardPendingWarnings=function(){zg=[],Bg=[],Ug=[],jg=[],$g=[],Vg=[],US=new Map}}function sl(n,a){if(n&&n.defaultProps){var o=Zt({},a),f=n.defaultProps;for(var p in f)o[p]===void 0&&(o[p]=f[p]);return o}return a}var AT=Ba(null),OT;OT={};var jS=null,tm=null,kT=null,$S=!1;function VS(){jS=null,tm=null,kT=null,$S=!1}function yD(){$S=!0}function bD(){$S=!1}function SD(n,a,o){_i(AT,a._currentValue,n),a._currentValue=o,a._currentRenderer!==void 0&&a._currentRenderer!==null&&a._currentRenderer!==OT&&u("Detected multiple renderers concurrently rendering the same context provider. 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+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */(function(){var e=typeof Symbol=="function"&&Symbol.for,t=e?Symbol.for("react.element"):60103,r=e?Symbol.for("react.portal"):60106,i=e?Symbol.for("react.fragment"):60107,s=e?Symbol.for("react.strict_mode"):60108,c=e?Symbol.for("react.profiler"):60114,u=e?Symbol.for("react.provider"):60109,h=e?Symbol.for("react.context"):60110,m=e?Symbol.for("react.async_mode"):60111,v=e?Symbol.for("react.concurrent_mode"):60111,b=e?Symbol.for("react.forward_ref"):60112,x=e?Symbol.for("react.suspense"):60113,C=e?Symbol.for("react.suspense_list"):60120,_=e?Symbol.for("react.memo"):60115,N=e?Symbol.for("react.lazy"):60116,A=e?Symbol.for("react.block"):60121,I=e?Symbol.for("react.fundamental"):60117,j=e?Symbol.for("react.responder"):60118,M=e?Symbol.for("react.scope"):60119;function z(We){return typeof We=="string"||typeof We=="function"||We===i||We===v||We===c||We===s||We===x||We===C||typeof We=="object"&&We!==null&&(We.$$typeof===N||We.$$typeof===_||We.$$typeof===u||We.$$typeof===h||We.$$typeof===b||We.$$typeof===I||We.$$typeof===j||We.$$typeof===M||We.$$typeof===A)}function U(We){if(typeof We=="object"&&We!==null){var Yt=We.$$typeof;switch(Yt){case t:var ye=We.type;switch(ye){case m:case v:case i:case c:case s:case x:return ye;default:var Mt=ye&&ye.$$typeof;switch(Mt){case h:case b:case N:case _:case u:return Mt;default:return Yt}}case r:return Yt}}}var V=m,K=v,X=h,de=u,ve=t,se=b,be=i,Xe=N,ie=_,ce=r,Re=c,Ce=s,oe=x,Se=!1;function Te(We){return Se||(Se=!0,console.warn("The ReactIs.isAsyncMode() alias has been deprecated, and will be removed in React 17+. Update your code to use ReactIs.isConcurrentMode() instead. It has the exact same API.")),pe(We)||U(We)===m}function pe(We){return U(We)===v}function we(We){return U(We)===h}function Ie(We){return U(We)===u}function Le(We){return typeof We=="object"&&We!==null&&We.$$typeof===t}function Ye(We){return U(We)===b}function st(We){return U(We)===i}function mt(We){return U(We)===N}function Gt(We){return U(We)===_}function Qe(We){return U(We)===r}function vt(We){return U(We)===c}function Et(We){return U(We)===s}function zt(We){return U(We)===x}or.AsyncMode=V,or.ConcurrentMode=K,or.ContextConsumer=X,or.ContextProvider=de,or.Element=ve,or.ForwardRef=se,or.Fragment=be,or.Lazy=Xe,or.Memo=ie,or.Portal=ce,or.Profiler=Re,or.StrictMode=Ce,or.Suspense=oe,or.isAsyncMode=Te,or.isConcurrentMode=pe,or.isContextConsumer=we,or.isContextProvider=Ie,or.isElement=Le,or.isForwardRef=Ye,or.isFragment=st,or.isLazy=mt,or.isMemo=Gt,or.isPortal=Qe,or.isProfiler=vt,or.isStrictMode=Et,or.isSuspense=zt,or.isValidElementType=z,or.typeOf=U})();(function(e){e.exports=or})(Fw);var L3=Fw.exports,K8={$$typeof:!0,render:!0,defaultProps:!0,displayName:!0,propTypes:!0},X8={$$typeof:!0,compare:!0,defaultProps:!0,displayName:!0,propTypes:!0,type:!0},F3={};F3[L3.ForwardRef]=K8;F3[L3.Memo]=X8;var Z8=!0;function bk(e,t,r){var i="";return r.split(" ").forEach(function(s){e[s]!==void 0?t.push(e[s]+";"):i+=s+" "}),i}var zw=function(t,r,i){var s=t.key+"-"+r.name;(i===!1||Z8===!1)&&t.registered[s]===void 0&&(t.registered[s]=r.styles)},Bw=function(t,r,i){zw(t,r,i);var s=t.key+"-"+r.name;if(t.inserted[r.name]===void 0){var c=r;do t.insert(r===c?"."+s:"",c,t.sheet,!0),c=c.next;while(c!==void 0)}};function Q8(e){for(var t=0,r,i=0,s=e.length;s>=4;++i,s-=4)r=e.charCodeAt(i)&255|(e.charCodeAt(++i)&255)<<8|(e.charCodeAt(++i)&255)<<16|(e.charCodeAt(++i)&255)<<24,r=(r&65535)*1540483477+((r>>>16)*59797<<16),r^=r>>>24,t=(r&65535)*1540483477+((r>>>16)*59797<<16)^(t&65535)*1540483477+((t>>>16)*59797<<16);switch(s){case 3:t^=(e.charCodeAt(i+2)&255)<<16;case 2:t^=(e.charCodeAt(i+1)&255)<<8;case 1:t^=e.charCodeAt(i)&255,t=(t&65535)*1540483477+((t>>>16)*59797<<16)}return t^=t>>>13,t=(t&65535)*1540483477+((t>>>16)*59797<<16),((t^t>>>15)>>>0).toString(36)}var J8={animationIterationCount:1,borderImageOutset:1,borderImageSlice:1,borderImageWidth:1,boxFlex:1,boxFlexGroup:1,boxOrdinalGroup:1,columnCount:1,columns:1,flex:1,flexGrow:1,flexPositive:1,flexShrink:1,flexNegative:1,flexOrder:1,gridRow:1,gridRowEnd:1,gridRowSpan:1,gridRowStart:1,gridColumn:1,gridColumnEnd:1,gridColumnSpan:1,gridColumnStart:1,msGridRow:1,msGridRowSpan:1,msGridColumn:1,msGridColumnSpan:1,fontWeight:1,lineHeight:1,opacity:1,order:1,orphans:1,tabSize:1,widows:1,zIndex:1,zoom:1,WebkitLineClamp:1,fillOpacity:1,floodOpacity:1,stopOpacity:1,strokeDasharray:1,strokeDashoffset:1,strokeMiterlimit:1,strokeOpacity:1,strokeWidth:1},xI=`You have illegal escape sequence in your template literal, most likely inside content's property value.
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+
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u=this.measure(),h=this.removeTransform(this.removeElementScroll(u));YL(h),this.snapshot={measured:u,layout:h,latestValues:{}}}updateLayout(){var u;if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let v=0;v<this.path.length;v++)this.path[v].updateScroll();const h=this.measure();YL(h);const m=this.layout;this.layout={measured:h,actual:this.removeElementScroll(h)},this.layoutCorrected=oi(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.actual),(u=this.options.visualElement)===null||u===void 0||u.notifyLayoutMeasure(this.layout.actual,m?.actual)}updateScroll(){this.options.layoutScroll&&this.instance&&(this.isScrollRoot=i(this.instance),this.scroll=r(this.instance))}resetTransform(){var u;if(!s)return;const h=this.isLayoutDirty||this.shouldResetTransform,m=this.projectionDelta&&!mz(this.projectionDelta),v=(u=this.options.visualElement)===null||u===void 0?void 0:u.getProps().transformTemplate,b=v?.(this.latestValues,""),x=b!==this.prevTransformTemplateValue;h&&(m||Ef(this.latestValues)||x)&&(s(this.instance,b),this.shouldResetTransform=!1,this.scheduleRender())}measure(){const{visualElement:u}=this.options;if(!u)return oi();const h=u.measureViewportBox(),{scroll:m}=this.root;return m&&(Rf(h.x,m.x),Rf(h.y,m.y)),h}removeElementScroll(u){const h=oi();vl(h,u);for(let m=0;m<this.path.length;m++){const v=this.path[m],{scroll:b,options:x,isScrollRoot:C}=v;if(v!==this.root&&b&&x.layoutScroll){if(C){vl(h,u);const{scroll:_}=this.root;_&&(Rf(h.x,-_.x),Rf(h.y,-_.y))}Rf(h.x,b.x),Rf(h.y,b.y)}}return h}applyTransform(u,h=!1){const m=oi();vl(m,u);for(let v=0;v<this.path.length;v++){const 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u;const{layout:h,layoutId:m}=this.options;!this.layout||!(h||m)||(!this.targetDelta&&!this.relativeTarget&&(this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&this.relativeParent.layout&&(this.relativeTarget=oi(),this.relativeTargetOrigin=oi(),$y(this.relativeTargetOrigin,this.layout.actual,this.relativeParent.layout.actual),vl(this.relativeTarget,this.relativeTargetOrigin))),!(!this.relativeTarget&&!this.targetDelta)&&(this.target||(this.target=oi(),this.targetWithTransforms=oi()),this.relativeTarget&&this.relativeTargetOrigin&&((u=this.relativeParent)===null||u===void 0?void 0:u.target)?_q(this.target,this.relativeTarget,this.relativeParent.target):this.targetDelta?(Boolean(this.resumingFrom)?this.target=this.applyTransform(this.layout.actual):vl(this.target,this.layout.actual),rz(this.target,this.targetDelta)):vl(this.target,this.layout.actual),this.attemptToResolveRelativeTarget&&(this.attemptToResolveRelativeTarget=!1,this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&Boolean(this.relativeParent.resumingFrom)===Boolean(this.resumingFrom)&&!this.relativeParent.options.layoutScroll&&this.relativeParent.target&&(this.relativeTarget=oi(),this.relativeTargetOrigin=oi(),$y(this.relativeTargetOrigin,this.target,this.relativeParent.target),vl(this.relativeTarget,this.relativeTargetOrigin)))))}getClosestProjectingParent(){if(!(!this.parent||Ef(this.parent.latestValues)))return(this.parent.relativeTarget||this.parent.targetDelta)&&this.parent.layout?this.parent:this.parent.getClosestProjectingParent()}calcProjection(){var u;const{layout:h,layoutId:m}=this.options;if(this.isTreeAnimating=Boolean(((u=this.parent)===null||u===void 0?void 0:u.isTreeAnimating)||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(h||m))return;const v=this.getLead();vl(this.layoutCorrected,this.layout.actual),Pq(this.layoutCorrected,this.treeScale,this.path,Boolean(this.resumingFrom)||this!==v);const{target:b}=v;if(!b)return;this.projectionDelta||(this.projectionDelta=Vy(),this.projectionDeltaWithTransform=Vy());const x=this.treeScale.x,C=this.treeScale.y,_=this.projectionTransform;jy(this.projectionDelta,this.layoutCorrected,b,this.latestValues),this.projectionTransform=UL(this.projectionDelta,this.treeScale),(this.projectionTransform!==_||this.treeScale.x!==x||this.treeScale.y!==C)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",b))}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(u=!0){var h,m,v;(m=(h=this.options).scheduleRender)===null||m===void 0||m.call(h),u&&((v=this.getStack())===null||v===void 0||v.scheduleRender()),this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(u,h=!1){var m;const v=this.snapshot,b=v?.latestValues||{},x={...this.latestValues},C=Vy();this.relativeTarget=this.relativeTargetOrigin=void 0,this.attemptToResolveRelativeTarget=!h;const _=oi(),N=v?.isShared,A=(((m=this.getStack())===null||m===void 0?void 0:m.members.length)||0)<=1,I=Boolean(N&&!A&&this.options.crossfade===!0&&!this.path.some(BK));this.animationProgress=0,this.mixTargetDelta=j=>{var M;const z=j/1e3;HL(C.x,u.x,z),HL(C.y,u.y,z),this.setTargetDelta(C),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&((M=this.relativeParent)===null||M===void 0?void 0:M.layout)&&($y(_,this.layout.actual,this.relativeParent.layout.actual),zK(this.relativeTarget,this.relativeTargetOrigin,_,z)),N&&(this.animationValues=x,yK(x,b,this.latestValues,z,I,A)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=z},this.mixTargetDelta(0)}startAnimation(u){var h,m;this.notifyListeners("animationStart"),(h=this.currentAnimation)===null||h===void 0||h.stop(),this.resumingFrom&&((m=this.resumingFrom.currentAnimation)===null||m===void 0||m.stop()),this.pendingAnimation&&(ub.update(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=uu.update(()=>{Fy.hasAnimatedSinceResize=!0,this.currentAnimation=vK(0,$L,{...u,onUpdate:v=>{var b;this.mixTargetDelta(v),(b=u.onUpdate)===null||b===void 0||b.call(u,v)},onComplete:()=>{var v;(v=u.onComplete)===null||v===void 0||v.call(u),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){var u;this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0),(u=this.getStack())===null||u===void 0||u.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){var u;this.currentAnimation&&((u=this.mixTargetDelta)===null||u===void 0||u.call(this,$L),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const u=this.getLead();let{targetWithTransforms:h,target:m,layout:v,latestValues:b}=u;if(!(!h||!m||!v)){if(this!==u&&this.layout&&v&&yz(this.options.animationType,this.layout.actual,v.actual)){m=this.target||oi();const x=Yo(this.layout.actual.x);m.x.min=u.target.x.min,m.x.max=m.x.min+x;const C=Yo(this.layout.actual.y);m.y.min=u.target.y.min,m.y.max=m.y.min+C}vl(h,m),Pm(h,b),jy(this.projectionDeltaWithTransform,this.layoutCorrected,h,b)}}registerSharedNode(u,h){var m,v,b;this.sharedNodes.has(u)||this.sharedNodes.set(u,new EK),this.sharedNodes.get(u).add(h),h.promote({transition:(m=h.options.initialPromotionConfig)===null||m===void 0?void 0:m.transition,preserveFollowOpacity:(b=(v=h.options.initialPromotionConfig)===null||v===void 0?void 0:v.shouldPreserveFollowOpacity)===null||b===void 0?void 0:b.call(v,h)})}isLead(){const u=this.getStack();return u?u.lead===this:!0}getLead(){var u;const{layoutId:h}=this.options;return h?((u=this.getStack())===null||u===void 0?void 0:u.lead)||this:this}getPrevLead(){var u;const{layoutId:h}=this.options;return h?(u=this.getStack())===null||u===void 0?void 0:u.prevLead:void 0}getStack(){const{layoutId:u}=this.options;if(u)return this.root.sharedNodes.get(u)}promote({needsReset:u,transition:h,preserveFollowOpacity:m}={}){const v=this.getStack();v&&v.promote(this,m),u&&(this.projectionDelta=void 0,this.needsReset=!0),h&&this.setOptions({transition:h})}relegate(){const u=this.getStack();return u?u.relegate(this):!1}resetRotation(){const{visualElement:u}=this.options;if(!u)return;let h=!1;const m={};for(let v=0;v<jL.length;v++){const b=jL[v],x="rotate"+b;!u.getStaticValue(x)||(h=!0,m[x]=u.getStaticValue(x),u.setStaticValue(x,0))}if(!!h){u?.syncRender();for(const v in m)u.setStaticValue(v,m[v]);u.scheduleRender()}}getProjectionStyles(u={}){var h,m,v;const b={};if(!this.instance||this.isSVG)return b;if(this.isVisible)b.visibility="";else return{visibility:"hidden"};const x=(h=this.options.visualElement)===null||h===void 0?void 0:h.getProps().transformTemplate;if(this.needsReset)return this.needsReset=!1,b.opacity="",b.pointerEvents=Tx(u.pointerEvents)||"",b.transform=x?x(this.latestValues,""):"none",b;const C=this.getLead();if(!this.projectionDelta||!this.layout||!C.target){const I={};return this.options.layoutId&&(I.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,I.pointerEvents=Tx(u.pointerEvents)||""),this.hasProjected&&!Ef(this.latestValues)&&(I.transform=x?x({},""):"none",this.hasProjected=!1),I}const _=C.animationValues||C.latestValues;this.applyTransformsToTarget(),b.transform=UL(this.projectionDeltaWithTransform,this.treeScale,_),x&&(b.transform=x(_,b.transform));const{x:N,y:A}=this.projectionDelta;b.transformOrigin=`${N.origin*100}% ${A.origin*100}% 0`,C.animationValues?b.opacity=C===this?(v=(m=_.opacity)!==null&&m!==void 0?m:this.latestValues.opacity)!==null&&v!==void 0?v:1:this.preserveOpacity?this.latestValues.opacity:_.opacityExit:b.opacity=C===this?_.opacity!==void 0?_.opacity:"":_.opacityExit!==void 0?_.opacityExit:0;for(const I in Kx){if(_[I]===void 0)continue;const{correct:j,applyTo:M}=Kx[I],z=j(_[I],C);if(M){const U=M.length;for(let V=0;V<U;V++)b[M[V]]=z}else b[I]=z}return this.options.layoutId&&(b.pointerEvents=C===this?Tx(u.pointerEvents)||"":"none"),b}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(u=>{var h;return(h=u.currentAnimation)===null||h===void 0?void 0:h.stop()}),this.root.nodes.forEach(VL),this.root.sharedNodes.clear()}}}function AK(e){e.updateLayout()}function OK(e){var t,r,i;const s=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&s&&e.hasListeners("didUpdate")){const{actual:c,measured:u}=e.layout,{animationType:h}=e.options;h==="size"?eu(C=>{const _=s.isShared?s.measured[C]:s.layout[C],N=Yo(_);_.min=c[C].min,_.max=_.min+N}):yz(h,s.layout,c)&&eu(C=>{const _=s.isShared?s.measured[C]:s.layout[C],N=Yo(c[C]);_.max=_.min+N});const m=Vy();jy(m,c,s.layout);const v=Vy();s.isShared?jy(v,e.applyTransform(u,!0),s.measured):jy(v,c,s.layout);const b=!mz(m);let x=!1;if(!e.resumeFrom&&(e.relativeParent=e.getClosestProjectingParent(),e.relativeParent&&!e.relativeParent.resumeFrom)){const{snapshot:C,layout:_}=e.relativeParent;if(C&&_){const N=oi();$y(N,s.layout,C.layout);const A=oi();$y(A,c,_.actual),vz(N,A)||(x=!0)}}e.notifyListeners("didUpdate",{layout:c,snapshot:s,delta:v,layoutDelta:m,hasLayoutChanged:b,hasRelativeTargetChanged:x})}else e.isLead()&&((i=(r=e.options).onExitComplete)===null||i===void 0||i.call(r));e.options.transition=void 0}function kK(e){e.clearSnapshot()}function VL(e){e.clearMeasurements()}function DK(e){const{visualElement:t}=e.options;t?.getProps().onBeforeLayoutMeasure&&t.notifyBeforeLayoutMeasure(),e.resetTransform()}function PK(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0}function MK(e){e.resolveTargetDelta()}function IK(e){e.calcProjection()}function LK(e){e.resetRotation()}function FK(e){e.removeLeadSnapshot()}function HL(e,t,r){e.translate=jr(t.translate,0,r),e.scale=jr(t.scale,1,r),e.origin=t.origin,e.originPoint=t.originPoint}function WL(e,t,r,i){e.min=jr(t.min,r.min,i),e.max=jr(t.max,r.max,i)}function zK(e,t,r,i){WL(e.x,t.x,r.x,i),WL(e.y,t.y,r.y,i)}function BK(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const UK={duration:.45,ease:[.4,0,.1,1]};function jK(e,t){let r=e.root;for(let c=e.path.length-1;c>=0;c--)if(Boolean(e.path[c].instance)){r=e.path[c];break}const s=(r&&r!==e.root?r.instance:document).querySelector(`[data-projection-id="${t}"]`);s&&e.mount(s,!0)}function GL(e){e.min=Math.round(e.min),e.max=Math.round(e.max)}function YL(e){GL(e.x),GL(e.y)}function yz(e,t,r){return e==="position"||e==="preserve-aspect"&&!_K(BL(t),BL(r))}const $K=gz({attachResizeListener:(e,t)=>Ww(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),ZR={current:void 0},VK=gz({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!ZR.current){const e=new $K(0,{});e.mount(window),e.setOptions({layoutScroll:!0}),ZR.current=e}return ZR.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>Boolean(window.getComputedStyle(e).position==="fixed")}),HK={...xq,...DY,...$q,...mK},Tl=wW((e,t)=>sG(e,t,HK,uK,VK));function bz(){const e=D.exports.useRef(!1);return qx(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function WK(){const e=bz(),[t,r]=D.exports.useState(0),i=D.exports.useCallback(()=>{e.current&&r(t+1)},[t]);return[D.exports.useCallback(()=>uu.postRender(i),[i]),t]}var GK="/Users/spencer/Documents/Code/stable-diffusion/frontend/node_modules/framer-motion/dist/es/components/AnimatePresence/PopChild.mjs";class YK extends D.exports.Component{getSnapshotBeforeUpdate(t){const r=this.props.childRef.current;if(r&&t.isPresent&&!this.props.isPresent){const i=this.props.sizeRef.current;i.height=r.offsetHeight||0,i.width=r.offsetWidth||0,i.top=r.offsetTop,i.left=r.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function qK({children:e,isPresent:t}){const r=D.exports.useId(),i=D.exports.useRef(null),s=D.exports.useRef({width:0,height:0,top:0,left:0});return D.exports.useInsertionEffect(()=>{const{width:c,height:u,top:h,left:m}=s.current;if(t||!i.current||!c||!u)return;i.current.dataset.motionPopId=r;const v=document.createElement("style");return document.head.appendChild(v),v.sheet&&v.sheet.insertRule(`
+          [data-motion-pop-id="${r}"] {
+            position: absolute !important;
+            width: ${c}px !important;
+            height: ${u}px !important;
+            top: ${h}px !important;
+            left: ${m}px !important;
+          }
+        `),()=>{document.head.removeChild(v)}},[t]),k(YK,{isPresent:t,childRef:i,sizeRef:s,children:D.exports.cloneElement(e,{ref:i})},void 0,!1,{fileName:GK,lineNumber:68,columnNumber:13},this)}var qL="/Users/spencer/Documents/Code/stable-diffusion/frontend/node_modules/framer-motion/dist/es/components/AnimatePresence/PresenceChild.mjs";const QR=({children:e,initial:t,isPresent:r,onExitComplete:i,custom:s,presenceAffectsLayout:c,mode:u})=>{const h=Hw(KK),m=D.exports.useId(),v=D.exports.useMemo(()=>({id:m,initial:t,isPresent:r,custom:s,onExitComplete:b=>{h.set(b,!0);for(const x of h.values())if(!x)return;i&&i()},register:b=>(h.set(b,!1),()=>h.delete(b))}),c?void 0:[r]);return D.exports.useMemo(()=>{h.forEach((b,x)=>h.set(x,!1))},[r]),D.exports.useEffect(()=>{!r&&!h.size&&i&&i()},[r]),u==="popLayout"&&(e=k(qK,{isPresent:r,children:e},void 0,!1,{fileName:qL,lineNumber:48,columnNumber:20},globalThis)),k(nv.Provider,{value:v,children:e},void 0,!1,{fileName:qL,lineNumber:50,columnNumber:13},globalThis)};function KK(){return new Map}var JR="/Users/spencer/Documents/Code/stable-diffusion/frontend/node_modules/framer-motion/dist/es/components/AnimatePresence/index.mjs";const Rm=e=>e.key||"";function XK(e,t){e.forEach(r=>{const i=Rm(r);t.set(i,r)})}function ZK(e){const t=[];return D.exports.Children.forEach(e,r=>{D.exports.isValidElement(r)&&t.push(r)}),t}const gc=({children:e,custom:t,initial:r=!0,onExitComplete:i,exitBeforeEnter:s,presenceAffectsLayout:c=!0,mode:u="sync"})=>{s&&(u="wait",$k(!1,"Replace exitBeforeEnter with mode='wait'"));let[h]=WK();const m=D.exports.useContext(Ek).forceRender;m&&(h=m);const v=bz(),b=ZK(e);let x=b;const C=new Set,_=D.exports.useRef(x),N=D.exports.useRef(new Map).current,A=D.exports.useRef(!0);if(qx(()=>{A.current=!1,XK(b,N),_.current=x}),Pk(()=>{A.current=!0,N.clear(),C.clear()}),A.current)return k(yo,{children:x.map(z=>k(QR,{isPresent:!0,initial:r?void 0:!1,presenceAffectsLayout:c,mode:u,children:z},Rm(z),!1,{fileName:JR,lineNumber:97,columnNumber:92},globalThis))},void 0,!1);x=[...x];const I=_.current.map(Rm),j=b.map(Rm),M=I.length;for(let z=0;z<M;z++){const U=I[z];j.indexOf(U)===-1&&C.add(U)}return u==="wait"&&C.size&&(x=[]),C.forEach(z=>{if(j.indexOf(z)!==-1)return;const U=N.get(z);if(!U)return;const V=I.indexOf(z),K=()=>{N.delete(z),C.delete(z);const X=_.current.findIndex(de=>de.key===z);if(_.current.splice(X,1),!C.size){if(_.current=b,v.current===!1)return;h(),i&&i()}};x.splice(V,0,k(QR,{isPresent:!1,onExitComplete:K,custom:t,presenceAffectsLayout:c,mode:u,children:U},Rm(U),!1,{fileName:JR,lineNumber:143,columnNumber:52},globalThis))}),x=x.map(z=>{const U=z.key;return C.has(U)?z:k(QR,{isPresent:!0,presenceAffectsLayout:c,mode:u,children:z},Rm(z),!1,{fileName:JR,lineNumber:149,columnNumber:46},globalThis)}),jk!=="production"&&u==="wait"&&x.length>1&&console.warn(`You're attempting to animate multiple children within AnimatePresence, but its mode is set to "wait". 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+      button,
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+      progress {
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+      textarea {
+        overflow: auto;
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+      [type="checkbox"],
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+      [type="number"]::-webkit-inner-spin-button,
+      [type="number"]::-webkit-outer-spin-button {
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+      }
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+      input[type="number"] {
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+      }
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+      [type="search"] {
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+        outline-offset: -2px;
+      }
+
+      [type="search"]::-webkit-search-decoration {
+        -webkit-appearance: none !important;
+      }
+
+      ::-webkit-file-upload-button {
+        -webkit-appearance: button;
+        font: inherit;
+      }
+
+      details {
+        display: block;
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+      summary {
+        display: list-item;
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+      template {
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+      [hidden] {
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+      body,
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+      h2,
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+      h4,
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+      figure,
+      p,
+      pre {
+        margin: 0;
+      }
+
+      button {
+        background: transparent;
+        padding: 0;
+      }
+
+      fieldset {
+        margin: 0;
+        padding: 0;
+      }
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+      ol,
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+        margin: 0;
+        padding: 0;
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+      textarea {
+        resize: vertical;
+      }
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+      button,
+      [role="button"] {
+        cursor: pointer;
+      }
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+      button::-moz-focus-inner {
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+      }
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+      table {
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+      }
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+      h1,
+      h2,
+      h3,
+      h4,
+      h5,
+      h6 {
+        font-size: inherit;
+        font-weight: inherit;
+      }
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+      button,
+      input,
+      optgroup,
+      select,
+      textarea {
+        padding: 0;
+        line-height: inherit;
+        color: inherit;
+      }
+
+      img,
+      svg,
+      video,
+      canvas,
+      audio,
+      iframe,
+      embed,
+      object {
+        display: block;
+      }
+
+      img,
+      video {
+        max-width: 100%;
+        height: auto;
+      }
+
+      [data-js-focus-visible] :focus:not([data-focus-visible-added]):not([data-focus-visible-disabled]) {
+        outline: none;
+        box-shadow: none;
+      }
+
+      select::-ms-expand {
+        display: none;
+      }
+
+      ${Uz}
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t=e.reference,r=e.element,i=e.placement,s=i?Cl(i):null,c=i?Qm(i):null,u=t.x+t.width/2-r.width/2,h=t.y+t.height/2-r.height/2,m;switch(s){case vo:m={x:u,y:t.y-r.height};break;case Is:m={x:u,y:t.y+t.height};break;case Ls:m={x:t.x+t.width,y:h};break;case go:m={x:t.x-r.width,y:h};break;default:m={x:t.x,y:t.y}}var v=s?h2(s):null;if(v!=null){var b=v==="y"?"height":"width";switch(c){case Km:m[v]=m[v]-(t[b]/2-r[b]/2);break;case fb:m[v]=m[v]+(t[b]/2-r[b]/2);break}}return m}function db(e,t){t===void 0&&(t={});var r=t,i=r.placement,s=i===void 0?e.placement:i,c=r.strategy,u=c===void 0?e.strategy:c,h=r.boundary,m=h===void 0?vQ:h,v=r.rootBoundary,b=v===void 0?rB:v,x=r.elementContext,C=x===void 0?Ey:x,_=r.altBoundary,N=_===void 0?!1:_,A=r.padding,I=A===void 0?0:A,j=lB(typeof 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Ye.concat(Cl(st)===oC?XQ(t,{placement:st,boundary:b,rootBoundary:x,padding:v,flipVariations:N,allowedAutoPlacements:A}):st)},[]),V=t.rects.reference,K=t.rects.popper,X=new Map,de=!0,ve=U[0],se=0;se<U.length;se++){var be=U[se],Xe=Cl(be),ie=Qm(be)===Km,ce=[vo,Is].indexOf(Xe)>=0,Re=ce?"width":"height",Ce=db(t,{placement:be,boundary:b,rootBoundary:x,altBoundary:C,padding:v}),oe=ce?ie?Ls:go:ie?Is:vo;V[Re]>K[Re]&&(oe=Ax(oe));var Se=Ax(oe),Te=[];if(c&&Te.push(Ce[Xe]<=0),h&&Te.push(Ce[oe]<=0,Ce[Se]<=0),Te.every(function(Ye){return Ye})){ve=be,de=!1;break}X.set(be,Te)}if(de)for(var pe=N?3:1,we=function(st){var mt=U.find(function(Gt){var Qe=X.get(Gt);if(Qe)return Qe.slice(0,st).every(function(vt){return vt})});if(mt)return ve=mt,"break"},Ie=pe;Ie>0;Ie--){var Le=we(Ie);if(Le==="break")break}t.placement!==ve&&(t.modifiersData[i]._skip=!0,t.placement=ve,t.reset=!0)}}const JQ={name:"flip",enabled:!0,phase:"main",fn:QQ,requiresIfExists:["offset"],data:{_skip:!1}};function v5(e,t,r){return r===void 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ie,ce=U==="y"?vo:go,Re=U==="y"?Is:Ls,Ce=U==="y"?"height":"width",oe=K[U],Se=oe+I[ce],Te=oe-I[Re],pe=_?-de[Ce]/2:0,we=M===Km?X[Ce]:de[Ce],Ie=M===Km?-de[Ce]:-X[Ce],Le=t.elements.arrow,Ye=_&&Le?p2(Le):{width:0,height:0},st=t.modifiersData["arrow#persistent"]?t.modifiersData["arrow#persistent"].padding:sB(),mt=st[ce],Gt=st[Re],Qe=Hy(0,X[Ce],Ye[Ce]),vt=z?X[Ce]/2-pe-Qe-mt-se.mainAxis:we-Qe-mt-se.mainAxis,Et=z?-X[Ce]/2+pe+Qe+Gt+se.mainAxis:Ie+Qe+Gt+se.mainAxis,zt=t.elements.arrow&&Ib(t.elements.arrow),We=zt?U==="y"?zt.clientTop||0:zt.clientLeft||0:0,Yt=(ie=be?.[U])!=null?ie:0,ye=oe+vt-Yt-We,Mt=oe+Et-Yt,Kt=Hy(_?cw(Se,ye):Se,oe,_?Lp(Te,Mt):Te);K[U]=Kt,Xe[U]=Kt-oe}if(h){var St,ar=U==="x"?vo:go,ir=U==="x"?Is:Ls,Bt=K[V],fn=V==="y"?"height":"width",kn=Bt+I[ar],hn=Bt-I[ir],Ve=[vo,go].indexOf(j)!==-1,Ze=(St=be?.[V])!=null?St:0,Jt=Ve?kn:Bt-X[fn]-de[fn]-Ze+se.altAxis,Tt=Ve?Bt+X[fn]+de[fn]-Ze-se.altAxis:hn,ke=_&&Ve?DQ(Jt,Bt,Tt):Hy(_?Jt:kn,Bt,_?Tt:hn);K[V]=ke,Xe[V]=ke-Bt}t.modifiersData[i]=Xe}}const uJ={name:"preventOverflow",enabled:!0,phase:"main",fn:lJ,requiresIfExists:["offset"]};function cJ(e){return{scrollLeft:e.scrollLeft,scrollTop:e.scrollTop}}function fJ(e){return e===Fs(e)||!Go(e)?m2(e):cJ(e)}function dJ(e){var t=e.getBoundingClientRect(),r=Xm(t.width)/e.offsetWidth||1,i=Xm(t.height)/e.offsetHeight||1;return r!==1||i!==1}function pJ(e,t,r){r===void 0&&(r=!1);var i=Go(t),s=Go(t)&&dJ(t),c=Xf(t),u=Zm(e,s,r),h={scrollLeft:0,scrollTop:0},m={x:0,y:0};return(i||!i&&!r)&&((mu(t)!=="body"||g2(c))&&(h=fJ(t)),Go(t)?(m=Zm(t,!0),m.x+=t.clientLeft,m.y+=t.clientTop):c&&(m.x=v2(c))),{x:u.left+h.scrollLeft-m.x,y:u.top+h.scrollTop-m.y,width:u.width,height:u.height}}function hJ(e){var t=new Map,r=new Set,i=[];e.forEach(function(c){t.set(c.name,c)});function s(c){r.add(c.name);var u=[].concat(c.requires||[],c.requiresIfExists||[]);u.forEach(function(h){if(!r.has(h)){var m=t.get(h);m&&s(m)}}),i.push(c)}return e.forEach(function(c){r.has(c.name)||s(c)}),i}function mJ(e){var t=hJ(e);return 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Jae={bg:"blackAlpha.600",zIndex:"overlay"},eie={display:"flex",zIndex:"modal",justifyContent:"center"},tie=e=>{const{isFullHeight:t}=e;return{...t&&{height:"100vh"},zIndex:"modal",maxH:"100vh",bg:ze("white","gray.700")(e),color:"inherit",boxShadow:ze("lg","dark-lg")(e)}},nie={px:"6",py:"4",fontSize:"xl",fontWeight:"semibold"},rie={position:"absolute",top:"2",insetEnd:"3"},aie={px:"6",py:"2",flex:"1",overflow:"auto"},iie={px:"6",py:"4"},oie=IO(e=>({overlay:Jae,dialogContainer:eie,dialog:Xr(tie,e),header:nie,closeButton:rie,body:aie,footer:iie})),sie={xs:Nm("xs"),sm:Nm("md"),md:Nm("lg"),lg:Nm("2xl"),xl:Nm("4xl"),full:Nm("full")},lie=Qae({baseStyle:oie,sizes:sie,defaultProps:{size:"xs"}}),{definePartsStyle:uie,defineMultiStyleConfig:cie}=kr(Vne.keys),fie={borderRadius:"md",py:"1",transitionProperty:"common",transitionDuration:"normal"},die={borderRadius:"md",py:"1",transitionProperty:"common",transitionDuration:"normal",width:"full",_focusVisible:{boxShadow:"outline"},_placeholder:{opacity:.6}},pie={borderRadius:"md",py:"1",transitionProperty:"common",transitionDuration:"normal",width:"full",_focusVisible:{boxShadow:"outline"},_placeholder:{opacity:.6}},hie=uie({preview:fie,input:die,textarea:pie}),mie=cie({baseStyle:hie}),{definePartsStyle:vie,defineMultiStyleConfig:gie}=kr(Hne.keys),yie=e=>({marginStart:"1",color:ze("red.500","red.300")(e)}),bie=e=>({mt:"2",color:ze("gray.600","whiteAlpha.600")(e),lineHeight:"normal",fontSize:"sm"}),Sie=vie(e=>({container:{width:"100%",position:"relative"},requiredIndicator:Xr(yie,e),helperText:Xr(bie,e)})),xie=gie({baseStyle:Sie}),{definePartsStyle:wie,defineMultiStyleConfig:Cie}=kr(Wne.keys),_ie=e=>({color:ze("red.500","red.300")(e),mt:"2",fontSize:"sm",lineHeight:"normal"}),Eie=e=>({marginEnd:"0.5em",color:ze("red.500","red.300")(e)}),Tie=wie(e=>({text:Xr(_ie,e),icon:Xr(Eie,e)})),Nie=Cie({baseStyle:Tie}),Rie={fontSize:"md",marginEnd:"3",mb:"2",fontWeight:"medium",transitionProperty:"common",transitionDuration:"normal",opacity:1,_disabled:{opacity:.4}},Aie={baseStyle:Rie},Oie={fontFamily:"heading",fontWeight:"bold"},kie={"4xl":{fontSize:["6xl",null,"7xl"],lineHeight:1},"3xl":{fontSize:["5xl",null,"6xl"],lineHeight:1},"2xl":{fontSize:["4xl",null,"5xl"],lineHeight:[1.2,null,1]},xl:{fontSize:["3xl",null,"4xl"],lineHeight:[1.33,null,1.2]},lg:{fontSize:["2xl",null,"3xl"],lineHeight:[1.33,null,1.2]},md:{fontSize:"xl",lineHeight:1.2},sm:{fontSize:"md",lineHeight:1.2},xs:{fontSize:"sm",lineHeight:1.2}},Die={baseStyle:Oie,sizes:kie,defaultProps:{size:"xl"}},{definePartsStyle:cc,defineMultiStyleConfig:Pie}=kr(Gne.keys),Mie=cc({field:{width:"100%",minWidth:0,outline:0,position:"relative",appearance:"none",transitionProperty:"common",transitionDuration:"normal",_disabled:{opacity:.4,cursor:"not-allowed"}}}),xf={lg:{fontSize:"lg",px:"4",h:"12",borderRadius:"md"},md:{fontSize:"md",px:"4",h:"10",borderRadius:"md"},sm:{fontSize:"sm",px:"3",h:"8",borderRadius:"sm"},xs:{fontSize:"xs",px:"2",h:"6",borderRadius:"sm"}},Iie={lg:cc({field:xf.lg,addon:xf.lg}),md:cc({field:xf.md,addon:xf.md}),sm:cc({field:xf.sm,addon:xf.sm}),xs:cc({field:xf.xs,addon:xf.xs})};function M2(e){const{focusBorderColor:t,errorBorderColor:r}=e;return{focusBorderColor:t||ze("blue.500","blue.300")(e),errorBorderColor:r||ze("red.500","red.300")(e)}}var Lie=cc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=M2(e);return{field:{border:"1px solid",borderColor:"inherit",bg:"inherit",_hover:{borderColor:ze("gray.300","whiteAlpha.400")(e)},_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Aa(t,i),boxShadow:`0 0 0 1px ${Aa(t,i)}`},_focusVisible:{zIndex:1,borderColor:Aa(t,r),boxShadow:`0 0 0 1px ${Aa(t,r)}`}},addon:{border:"1px solid",borderColor:ze("inherit","whiteAlpha.50")(e),bg:ze("gray.100","whiteAlpha.300")(e)}}}),Fie=cc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=M2(e);return{field:{border:"2px solid",borderColor:"transparent",bg:ze("gray.100","whiteAlpha.50")(e),_hover:{bg:ze("gray.200","whiteAlpha.100")(e)},_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Aa(t,i)},_focusVisible:{bg:"transparent",borderColor:Aa(t,r)}},addon:{border:"2px solid",borderColor:"transparent",bg:ze("gray.100","whiteAlpha.50")(e)}}}),zie=cc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=M2(e);return{field:{borderBottom:"1px solid",borderColor:"inherit",borderRadius:"0",px:"0",bg:"transparent",_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Aa(t,i),boxShadow:`0px 1px 0px 0px ${Aa(t,i)}`},_focusVisible:{borderColor:Aa(t,r),boxShadow:`0px 1px 0px 0px ${Aa(t,r)}`}},addon:{borderBottom:"2px solid",borderColor:"inherit",borderRadius:"0",px:"0",bg:"transparent"}}}),Bie=cc({field:{bg:"transparent",px:"0",height:"auto"},addon:{bg:"transparent",px:"0",height:"auto"}}),Uie={outline:Lie,filled:Fie,flushed:zie,unstyled:Bie},Jn=Pie({baseStyle:Mie,sizes:Iie,variants:Uie,defaultProps:{size:"md",variant:"outline"}}),jie=e=>({bg:ze("gray.100","whiteAlpha")(e),borderRadius:"md",borderWidth:"1px",borderBottomWidth:"3px",fontSize:"0.8em",fontWeight:"bold",lineHeight:"normal",px:"0.4em",whiteSpace:"nowrap"}),$ie={baseStyle:jie},Vie={transitionProperty:"common",transitionDuration:"fast",transitionTimingFunction:"ease-out",cursor:"pointer",textDecoration:"none",outline:"none",color:"inherit",_hover:{textDecoration:"underline"},_focusVisible:{boxShadow:"outline"}},Hie={baseStyle:Vie},{defineMultiStyleConfig:Wie,definePartsStyle:Gie}=kr(Yne.keys),Yie={marginEnd:"2",display:"inline",verticalAlign:"text-bottom"},qie=Gie({icon:Yie}),Kie=Wie({baseStyle:qie}),{defineMultiStyleConfig:Xie,definePartsStyle:Zie}=kr(qne.keys),Qie=e=>({bg:ze("#fff","gray.700")(e),boxShadow:ze("sm","dark-lg")(e),color:"inherit",minW:"3xs",py:"2",zIndex:1,borderRadius:"md",borderWidth:"1px"}),Jie=e=>({py:"1.5",px:"3",transitionProperty:"background",transitionDuration:"ultra-fast",transitionTimingFunction:"ease-in",_focus:{bg:ze("gray.100","whiteAlpha.100")(e)},_active:{bg:ze("gray.200","whiteAlpha.200")(e)},_expanded:{bg:ze("gray.100","whiteAlpha.100")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),eoe={mx:4,my:2,fontWeight:"semibold",fontSize:"sm"},toe={opacity:.6},noe={border:0,borderBottom:"1px solid",borderColor:"inherit",my:"2",opacity:.6},roe={transitionProperty:"common",transitionDuration:"normal"},aoe=Zie(e=>({button:roe,list:Xr(Qie,e),item:Xr(Jie,e),groupTitle:eoe,command:toe,divider:noe})),ioe=Xie({baseStyle:aoe}),{defineMultiStyleConfig:ooe,definePartsStyle:LO}=kr(Kne.keys),soe={bg:"blackAlpha.600",zIndex:"modal"},loe=e=>{const{isCentered:t,scrollBehavior:r}=e;return{display:"flex",zIndex:"modal",justifyContent:"center",alignItems:t?"center":"flex-start",overflow:r==="inside"?"hidden":"auto"}},uoe=e=>{const{scrollBehavior:t}=e;return{borderRadius:"md",bg:ze("white","gray.700")(e),color:"inherit",my:"16",zIndex:"modal",maxH:t==="inside"?"calc(100% - 7.5rem)":void 0,boxShadow:ze("lg","dark-lg")(e)}},coe={px:"6",py:"4",fontSize:"xl",fontWeight:"semibold"},foe={position:"absolute",top:"2",insetEnd:"3"},doe=e=>{const{scrollBehavior:t}=e;return{px:"6",py:"2",flex:"1",overflow:t==="inside"?"auto":void 0}},poe={px:"6",py:"4"},hoe=LO(e=>({overlay:soe,dialogContainer:Xr(loe,e),dialog:Xr(uoe,e),header:coe,closeButton:foe,body:Xr(doe,e),footer:poe}));function gl(e){return LO(e==="full"?{dialog:{maxW:"100vw",minH:"$100vh",my:"0",borderRadius:"0"}}:{dialog:{maxW:e}})}var moe={xs:gl("xs"),sm:gl("sm"),md:gl("md"),lg:gl("lg"),xl:gl("xl"),"2xl":gl("2xl"),"3xl":gl("3xl"),"4xl":gl("4xl"),"5xl":gl("5xl"),"6xl":gl("6xl"),full:gl("full")},voe=ooe({baseStyle:hoe,sizes:moe,defaultProps:{size:"md"}}),goe={letterSpacings:{tighter:"-0.05em",tight:"-0.025em",normal:"0",wide:"0.025em",wider:"0.05em",widest:"0.1em"},lineHeights:{normal:"normal",none:1,shorter:1.25,short:1.375,base:1.5,tall:1.625,taller:"2",3:".75rem",4:"1rem",5:"1.25rem",6:"1.5rem",7:"1.75rem",8:"2rem",9:"2.25rem",10:"2.5rem"},fontWeights:{hairline:100,thin:200,light:300,normal:400,medium:500,semibold:600,bold:700,extrabold:800,black:900},fonts:{heading:'-apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"',body:'-apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"',mono:'SFMono-Regular,Menlo,Monaco,Consolas,"Liberation Mono","Courier New",monospace'},fontSizes:{"3xs":"0.45rem","2xs":"0.625rem",xs:"0.75rem",sm:"0.875rem",md:"1rem",lg:"1.125rem",xl:"1.25rem","2xl":"1.5rem","3xl":"1.875rem","4xl":"2.25rem","5xl":"3rem","6xl":"3.75rem","7xl":"4.5rem","8xl":"6rem","9xl":"8rem"}},T6=goe,{defineMultiStyleConfig:yoe,definePartsStyle:N6}=kr(Xne.keys),I2=So("number-input-stepper-width"),R6=So("number-input-input-padding"),boe=uc(I2).add("0.5rem").toString(),Soe={[I2.variable]:"sizes.6",[R6.variable]:boe},xoe=e=>{var t;return((t=Xr(Jn.baseStyle,e))==null?void 0:t.field)??{}},woe={width:[I2.reference]},Coe=e=>({borderStart:"1px solid",borderStartColor:ze("inherit","whiteAlpha.300")(e),color:ze("inherit","whiteAlpha.800")(e),_active:{bg:ze("gray.200","whiteAlpha.300")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),_oe=N6(e=>({root:Soe,field:xoe,stepperGroup:woe,stepper:Xr(Coe,e)??{}}));function cx(e){var t,r;const i=(t=Jn.sizes)==null?void 0:t[e],s={lg:"md",md:"md",sm:"sm",xs:"sm"},c=((r=i.field)==null?void 0:r.fontSize)??"md",u=T6.fontSizes[c];return N6({field:{...i.field,paddingInlineEnd:R6.reference,verticalAlign:"top"},stepper:{fontSize:uc(u).multiply(.75).toString(),_first:{borderTopEndRadius:s[e]},_last:{borderBottomEndRadius:s[e],mt:"-1px",borderTopWidth:1}}})}var Eoe={xs:cx("xs"),sm:cx("sm"),md:cx("md"),lg:cx("lg")},Toe=yoe({baseStyle:_oe,sizes:Eoe,variants:Jn.variants,defaultProps:Jn.defaultProps}),X5,Noe={...(X5=Jn.baseStyle)==null?void 0:X5.field,textAlign:"center"},Roe={lg:{fontSize:"lg",w:12,h:12,borderRadius:"md"},md:{fontSize:"md",w:10,h:10,borderRadius:"md"},sm:{fontSize:"sm",w:8,h:8,borderRadius:"sm"},xs:{fontSize:"xs",w:6,h:6,borderRadius:"sm"}},Z5,Aoe={outline:e=>{var t,r;return((r=Xr((t=Jn.variants)==null?void 0:t.outline,e))==null?void 0:r.field)??{}},flushed:e=>{var t,r;return((r=Xr((t=Jn.variants)==null?void 0:t.flushed,e))==null?void 0:r.field)??{}},filled:e=>{var t,r;return((r=Xr((t=Jn.variants)==null?void 0:t.filled,e))==null?void 0:r.field)??{}},unstyled:((Z5=Jn.variants)==null?void 0:Z5.unstyled.field)??{}},Ooe={baseStyle:Noe,sizes:Roe,variants:Aoe,defaultProps:Jn.defaultProps},{defineMultiStyleConfig:koe,definePartsStyle:Doe}=kr(Zne.keys),mA=So("popper-bg"),Poe=So("popper-arrow-bg"),Moe=So("popper-arrow-shadow-color"),Ioe={zIndex:10},Loe=e=>{const t=ze("white","gray.700")(e),r=ze("gray.200","whiteAlpha.300")(e);return{[mA.variable]:`colors.${t}`,bg:mA.reference,[Poe.variable]:mA.reference,[Moe.variable]:`colors.${r}`,width:"xs",border:"1px solid",borderColor:"inherit",borderRadius:"md",boxShadow:"sm",zIndex:"inherit",_focusVisible:{outline:0,boxShadow:"outline"}}},Foe={px:3,py:2,borderBottomWidth:"1px"},zoe={px:3,py:2},Boe={px:3,py:2,borderTopWidth:"1px"},Uoe={position:"absolute",borderRadius:"md",top:1,insetEnd:2,padding:2},joe=Doe(e=>({popper:Ioe,content:Loe(e),header:Foe,body:zoe,footer:Boe,closeButton:Uoe})),$oe=koe({baseStyle:joe}),{defineMultiStyleConfig:Voe,definePartsStyle:Py}=kr(Qne.keys),Hoe=e=>{const{colorScheme:t,theme:r,isIndeterminate:i,hasStripe:s}=e,c=ze(W5(),W5("1rem","rgba(0,0,0,0.1)"))(e),u=ze(`${t}.500`,`${t}.200`)(e),h=`linear-gradient(
+    to right,
+    transparent 0%,
+    ${Aa(r,u)} 50%,
+    transparent 100%
+  )`;return{...!i&&s&&c,...i?{bgImage:h}:{bgColor:u}}},Woe={lineHeight:"1",fontSize:"0.25em",fontWeight:"bold",color:"white"},Goe=e=>({bg:ze("gray.100","whiteAlpha.300")(e)}),Yoe=e=>({transitionProperty:"common",transitionDuration:"slow",...Hoe(e)}),qoe=Py(e=>({label:Woe,filledTrack:Yoe(e),track:Goe(e)})),Koe={xs:Py({track:{h:"1"}}),sm:Py({track:{h:"2"}}),md:Py({track:{h:"3"}}),lg:Py({track:{h:"4"}})},Xoe=Voe({sizes:Koe,baseStyle:qoe,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:Zoe,definePartsStyle:Px}=kr(Jne.keys),Qoe=e=>{var t;const r=(t=Xr(gw.baseStyle,e))==null?void 0:t.control;return{...r,borderRadius:"full",_checked:{...r?._checked,_before:{content:'""',display:"inline-block",pos:"relative",w:"50%",h:"50%",borderRadius:"50%",bg:"currentColor"}}}},Joe=Px(e=>{var t,r,i,s;return{label:(r=(t=gw).baseStyle)==null?void 0:r.call(t,e).label,container:(s=(i=gw).baseStyle)==null?void 0:s.call(i,e).container,control:Qoe(e)}}),ese={md:Px({control:{w:"4",h:"4"},label:{fontSize:"md"}}),lg:Px({control:{w:"5",h:"5"},label:{fontSize:"lg"}}),sm:Px({control:{width:"3",height:"3"},label:{fontSize:"sm"}})},tse=Zoe({baseStyle:Joe,sizes:ese,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:nse,definePartsStyle:rse}=kr(ere.keys),ase=e=>{var t;return{...(t=Jn.baseStyle)==null?void 0:t.field,bg:ze("white","gray.700")(e),appearance:"none",paddingBottom:"1px",lineHeight:"normal","> option, > optgroup":{bg:ze("white","gray.700")(e)}}},ise={width:"6",height:"100%",insetEnd:"2",position:"relative",color:"currentColor",fontSize:"xl",_disabled:{opacity:.5}},ose=rse(e=>({field:ase(e),icon:ise})),fx={paddingInlineEnd:"8"},Q5,J5,eF,tF,nF,rF,aF,iF,sse={lg:{...(Q5=Jn.sizes)==null?void 0:Q5.lg,field:{...(J5=Jn.sizes)==null?void 0:J5.lg.field,...fx}},md:{...(eF=Jn.sizes)==null?void 0:eF.md,field:{...(tF=Jn.sizes)==null?void 0:tF.md.field,...fx}},sm:{...(nF=Jn.sizes)==null?void 0:nF.sm,field:{...(rF=Jn.sizes)==null?void 0:rF.sm.field,...fx}},xs:{...(aF=Jn.sizes)==null?void 0:aF.xs,field:{...(iF=Jn.sizes)==null?void 0:iF.sm.field,...fx},icon:{insetEnd:"1"}}},lse=nse({baseStyle:ose,sizes:sse,variants:Jn.variants,defaultProps:Jn.defaultProps}),use=Kf("skeleton-start-color"),cse=Kf("skeleton-end-color"),fse=e=>{const t=ze("gray.100","gray.800")(e),r=ze("gray.400","gray.600")(e),{startColor:i=t,endColor:s=r,theme:c}=e,u=Aa(c,i),h=Aa(c,s);return{[use.variable]:u,[cse.variable]:h,opacity:.7,borderRadius:"2px",borderColor:u,background:h}},dse={baseStyle:fse},pse=e=>({borderRadius:"md",fontWeight:"semibold",_focusVisible:{boxShadow:"outline",padding:"4",position:"fixed",top:"6",insetStart:"6",bg:ze("white","gray.700")(e)}}),hse={baseStyle:pse},{defineMultiStyleConfig:mse,definePartsStyle:fC}=kr(tre.keys),vb=Kf("slider-thumb-size"),gb=Kf("slider-track-size"),vse=e=>{const{orientation:t}=e;return{display:"inline-block",position:"relative",cursor:"pointer",_disabled:{opacity:.6,cursor:"default",pointerEvents:"none"},...D2({orientation:t,vertical:{h:"100%"},horizontal:{w:"100%"}})}},gse=e=>({...D2({orientation:e.orientation,horizontal:{h:gb.reference},vertical:{w:gb.reference}}),overflow:"hidden",borderRadius:"sm",bg:ze("gray.200","whiteAlpha.200")(e),_disabled:{bg:ze("gray.300","whiteAlpha.300")(e)}}),yse=e=>{const{orientation:t}=e;return{...D2({orientation:t,vertical:{left:"50%",transform:"translateX(-50%)",_active:{transform:"translateX(-50%) scale(1.15)"}},horizontal:{top:"50%",transform:"translateY(-50%)",_active:{transform:"translateY(-50%) scale(1.15)"}}}),w:vb.reference,h:vb.reference,display:"flex",alignItems:"center",justifyContent:"center",position:"absolute",outline:0,zIndex:1,borderRadius:"full",bg:"white",boxShadow:"base",border:"1px 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zfe={isConnected:!1,isProcessing:!1,currentStep:0,log:[],shouldShowLogViewer:!1,shouldDisplayInProgress:!1,isGFPGANAvailable:!0,isESRGANAvailable:!0,socketId:"",shouldConfirmOnDelete:!0,openAccordions:[0]},Bfe=zfe,cU=V2({name:"system",initialState:Bfe,reducers:{setShouldDisplayInProgress:(e,t)=>{e.shouldDisplayInProgress=t.payload},setIsProcessing:(e,t)=>{e.isProcessing=t.payload,t.payload===!1&&(e.currentStep=0)},setCurrentStep:(e,t)=>{e.currentStep=t.payload},addLogEntry:(e,t)=>{const r={timestamp:Mfe(new Date,"isoDateTime"),message:t.payload};e.log.push(r)},setShouldShowLogViewer:(e,t)=>{e.shouldShowLogViewer=t.payload},setIsConnected:(e,t)=>{e.isConnected=t.payload},setSocketId:(e,t)=>{e.socketId=t.payload},setShouldConfirmOnDelete:(e,t)=>{e.shouldConfirmOnDelete=t.payload},setOpenAccordions:(e,t)=>{e.openAccordions=t.payload}}}),{setShouldDisplayInProgress:Ufe,setIsProcessing:wf,setCurrentStep:hx,addLogEntry:qi,setShouldShowLogViewer:jfe,setIsConnected:jF,setSocketId:Eme,setShouldConfirmOnDelete:fU,setOpenAccordions:$fe}=cU.actions,Vfe=cU.reducer,vu=Object.create(null);vu.open="0";vu.close="1";vu.ping="2";vu.pong="3";vu.message="4";vu.upgrade="5";vu.noop="6";const Lx=Object.create(null);Object.keys(vu).forEach(e=>{Lx[vu[e]]=e});const Hfe={type:"error",data:"parser error"},Wfe=typeof Blob=="function"||typeof Blob<"u"&&Object.prototype.toString.call(Blob)==="[object BlobConstructor]",Gfe=typeof ArrayBuffer=="function",Yfe=e=>typeof 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i="";this.opts.timestampRequests!==!1&&(t[this.opts.timestampParam]=SU()),!this.supportsBinary&&!t.sid&&(t.b64=1),this.opts.port&&(r==="https"&&Number(this.opts.port)!==443||r==="http"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port);const s=xU(t),c=this.opts.hostname.indexOf(":")!==-1;return r+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(s.length?"?"+s:"")}request(t={}){return Object.assign(t,{xd:this.xd,xs:this.xs},this.opts),new du(this.uri(),t)}doWrite(t,r){const i=this.request({method:"POST",data:t});i.on("success",r),i.on("error",(s,c)=>{this.onError("xhr post error",s,c)})}doPoll(){const t=this.request();t.on("data",this.onData.bind(this)),t.on("error",(r,i)=>{this.onError("xhr poll error",r,i)}),this.pollXhr=t}}class du extends ua{constructor(t,r){super(),pC(this,r),this.opts=r,this.method=r.method||"GET",this.uri=t,this.async=r.async!==!1,this.data=r.data!==void 0?r.data:null,this.create()}create(){const t=gU(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");t.xdomain=!!this.opts.xd,t.xscheme=!!this.opts.xs;const r=this.xhr=new CU(t);try{r.open(this.method,this.uri,this.async);try{if(this.opts.extraHeaders){r.setDisableHeaderCheck&&r.setDisableHeaderCheck(!0);for(let i in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=du.requestsCount++,du.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=ude,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete du.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}}du.requestsCount=0;du.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",YF);else if(typeof addEventListener=="function"){const e="onpagehide"in Lf?"pagehide":"unload";addEventListener(e,YF,!1)}}function YF(){for(let e in du.requests)du.requests.hasOwnProperty(e)&&du.requests[e].abort()}const dde=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,r)=>r(t,0))(),vx=Lf.WebSocket||Lf.MozWebSocket,qF=!0,pde="arraybuffer",KF=typeof 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mde={websocket:hde,polling:fde},vde=/^(?:(?![^:@]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@]*)(?::([^:@]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,gde=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function ek(e){const t=e,r=e.indexOf("["),i=e.indexOf("]");r!=-1&&i!=-1&&(e=e.substring(0,r)+e.substring(r,i).replace(/:/g,";")+e.substring(i,e.length));let s=vde.exec(e||""),c={},u=14;for(;u--;)c[gde[u]]=s[u]||"";return r!=-1&&i!=-1&&(c.source=t,c.host=c.host.substring(1,c.host.length-1).replace(/;/g,":"),c.authority=c.authority.replace("[","").replace("]","").replace(/;/g,":"),c.ipv6uri=!0),c.pathNames=yde(c,c.path),c.queryKey=bde(c,c.query),c}function yde(e,t){const r=/\/{2,9}/g,i=t.replace(r,"/").split("/");return(t.substr(0,1)=="/"||t.length===0)&&i.splice(0,1),t.substr(t.length-1,1)=="/"&&i.splice(i.length-1,1),i}function bde(e,t){const r={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(i,s,c){s&&(r[s]=c)}),r}class kf extends ua{constructor(t,r={}){super(),t&&typeof t=="object"&&(r=t,t=null),t?(t=ek(t),r.hostname=t.host,r.secure=t.protocol==="https"||t.protocol==="wss",r.port=t.port,t.query&&(r.query=t.query)):r.host&&(r.hostname=ek(r.host).host),pC(this,r),this.secure=r.secure!=null?r.secure:typeof location<"u"&&location.protocol==="https:",r.hostname&&!r.port&&(r.port=this.secure?"443":"80"),this.hostname=r.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=r.port||(typeof 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lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const r=Object.assign({},this.opts.query);r.EIO=vU,r.transport=t,this.id&&(r.sid=this.id);const i=Object.assign({},this.opts.transportOptions[t],this.opts,{query:r,socket:this,hostname:this.hostname,secure:this.secure,port:this.port});return new mde[t](i)}open(){let t;if(this.opts.rememberUpgrade&&kf.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",r=>this.onClose("transport close",r))}probe(t){let r=this.createTransport(t),i=!1;kf.priorWebsocketSuccess=!1;const s=()=>{i||(r.send([{type:"ping",data:"probe"}]),r.once("packet",x=>{if(!i)if(x.type==="pong"&&x.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",r),!r)return;kf.priorWebsocketSuccess=r.name==="websocket",this.transport.pause(()=>{i||this.readyState!=="closed"&&(b(),this.setTransport(r),r.send([{type:"upgrade"}]),this.emitReserved("upgrade",r),r=null,this.upgrading=!1,this.flush())})}else{const C=new Error("probe error");C.transport=r.name,this.emitReserved("upgradeError",C)}}))};function c(){i||(i=!0,b(),r.close(),r=null)}const u=x=>{const C=new Error("probe error: "+x);C.transport=r.name,c(),this.emitReserved("upgradeError",C)};function h(){u("transport closed")}function m(){u("socket closed")}function v(x){r&&x.name!==r.name&&c()}const b=()=>{r.removeListener("open",s),r.removeListener("error",u),r.removeListener("close",h),this.off("close",m),this.off("upgrading",v)};r.once("open",s),r.once("error",u),r.once("close",h),this.once("close",m),this.once("upgrading",v),r.open()}onOpen(){if(this.readyState="open",kf.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade&&this.transport.pause){let t=0;const r=this.upgrades.length;for(;t<r;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const r=new Error("server error");r.code=t.data,this.onError(r);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let r=1;for(let i=0;i<this.writeBuffer.length;i++){const s=this.writeBuffer[i].data;if(s&&(r+=rde(s)),i>0&&r>this.maxPayload)return this.writeBuffer.slice(0,i);r+=2}return this.writeBuffer}write(t,r,i){return this.sendPacket("message",t,r,i),this}send(t,r,i){return this.sendPacket("message",t,r,i),this}sendPacket(t,r,i,s){if(typeof r=="function"&&(s=r,r=void 0),typeof i=="function"&&(s=i,i=null),this.readyState==="closing"||this.readyState==="closed")return;i=i||{},i.compress=i.compress!==!1;const c={type:t,data:r,options:i};this.emitReserved("packetCreate",c),this.writeBuffer.push(c),s&&this.once("flush",s),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},r=()=>{this.off("upgrade",r),this.off("upgradeError",r),t()},i=()=>{this.once("upgrade",r),this.once("upgradeError",r)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?i():t()}):this.upgrading?i():t()),this}onError(t){kf.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,r){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&removeEventListener("offline",this.offlineEventListener,!1),this.readyState="closed",this.id=null,this.emitReserved("close",t,r),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const r=[];let i=0;const s=t.length;for(;i<s;i++)~this.transports.indexOf(t[i])&&r.push(t[i]);return r}}kf.protocol=vU;function Sde(e,t="",r){let i=e;r=r||typeof location<"u"&&location,e==null&&(e=r.protocol+"//"+r.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=r.protocol+e:e=r.host+e),/^(https?|wss?):\/\//.test(e)||(typeof r<"u"?e=r.protocol+"//"+e:e="https://"+e),i=ek(e)),i.port||(/^(http|ws)$/.test(i.protocol)?i.port="80":/^(http|ws)s$/.test(i.protocol)&&(i.port="443")),i.path=i.path||"/";const c=i.host.indexOf(":")!==-1?"["+i.host+"]":i.host;return i.id=i.protocol+"://"+c+":"+i.port+t,i.href=i.protocol+"://"+c+(r&&r.port===i.port?"":":"+i.port),i}const xde=typeof ArrayBuffer=="function",wde=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,_U=Object.prototype.toString,Cde=typeof Blob=="function"||typeof Blob<"u"&&_U.call(Blob)==="[object BlobConstructor]",_de=typeof File=="function"||typeof File<"u"&&_U.call(File)==="[object FileConstructor]";function Z2(e){return xde&&(e instanceof ArrayBuffer||wde(e))||Cde&&e instanceof Blob||_de&&e instanceof File}function Fx(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let r=0,i=e.length;r<i;r++)if(Fx(e[r]))return!0;return!1}if(Z2(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return Fx(e.toJSON(),!0);for(const r in e)if(Object.prototype.hasOwnProperty.call(e,r)&&Fx(e[r]))return!0;return!1}function Ede(e){const t=[],r=e.data,i=e;return i.data=tk(r,t),i.attachments=t.length,{packet:i,buffers:t}}function tk(e,t){if(!e)return e;if(Z2(e)){const r={_placeholder:!0,num:t.length};return t.push(e),r}else if(Array.isArray(e)){const r=new Array(e.length);for(let i=0;i<e.length;i++)r[i]=tk(e[i],t);return r}else if(typeof e=="object"&&!(e instanceof Date)){const r={};for(const i in e)Object.prototype.hasOwnProperty.call(e,i)&&(r[i]=tk(e[i],t));return r}return e}function Tde(e,t){return e.data=nk(e.data,t),e.attachments=void 0,e}function nk(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let r=0;r<e.length;r++)e[r]=nk(e[r],t);else if(typeof e=="object")for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(e[r]=nk(e[r],t));return e}const Nde=5;var Vn;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Vn||(Vn={}));class Rde{constructor(t){this.replacer=t}encode(t){return(t.type===Vn.EVENT||t.type===Vn.ACK)&&Fx(t)?(t.type=t.type===Vn.EVENT?Vn.BINARY_EVENT:Vn.BINARY_ACK,this.encodeAsBinary(t)):[this.encodeAsString(t)]}encodeAsString(t){let r=""+t.type;return(t.type===Vn.BINARY_EVENT||t.type===Vn.BINARY_ACK)&&(r+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(r+=t.nsp+","),t.id!=null&&(r+=t.id),t.data!=null&&(r+=JSON.stringify(t.data,this.replacer)),r}encodeAsBinary(t){const r=Ede(t),i=this.encodeAsString(r.packet),s=r.buffers;return s.unshift(i),s}}class Q2 extends ua{constructor(t){super(),this.reviver=t}add(t){let r;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");r=this.decodeString(t),r.type===Vn.BINARY_EVENT||r.type===Vn.BINARY_ACK?(this.reconstructor=new Ade(r),r.attachments===0&&super.emitReserved("decoded",r)):super.emitReserved("decoded",r)}else if(Z2(t)||t.base64)if(this.reconstructor)r=this.reconstructor.takeBinaryData(t),r&&(this.reconstructor=null,super.emitReserved("decoded",r));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let r=0;const i={type:Number(t.charAt(0))};if(Vn[i.type]===void 0)throw new Error("unknown packet type "+i.type);if(i.type===Vn.BINARY_EVENT||i.type===Vn.BINARY_ACK){const c=r+1;for(;t.charAt(++r)!=="-"&&r!=t.length;);const u=t.substring(c,r);if(u!=Number(u)||t.charAt(r)!=="-")throw new Error("Illegal attachments");i.attachments=Number(u)}if(t.charAt(r+1)==="/"){const c=r+1;for(;++r&&!(t.charAt(r)===","||r===t.length););i.nsp=t.substring(c,r)}else i.nsp="/";const s=t.charAt(r+1);if(s!==""&&Number(s)==s){const c=r+1;for(;++r;){const u=t.charAt(r);if(u==null||Number(u)!=u){--r;break}if(r===t.length)break}i.id=Number(t.substring(c,r+1))}if(t.charAt(++r)){const c=this.tryParse(t.substr(r));if(Q2.isPayloadValid(i.type,c))i.data=c;else throw new Error("invalid payload")}return i}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,r){switch(t){case Vn.CONNECT:return typeof r=="object";case Vn.DISCONNECT:return r===void 0;case Vn.CONNECT_ERROR:return typeof r=="string"||typeof r=="object";case Vn.EVENT:case Vn.BINARY_EVENT:return Array.isArray(r)&&r.length>0;case Vn.ACK:case Vn.BINARY_ACK:return Array.isArray(r)}}destroy(){this.reconstructor&&this.reconstructor.finishedReconstruction()}}class Ade{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const r=Tde(this.reconPack,this.buffers);return this.finishedReconstruction(),r}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const Ode=Object.freeze(Object.defineProperty({__proto__:null,protocol:Nde,get PacketType(){return Vn},Encoder:Rde,Decoder:Q2},Symbol.toStringTag,{value:"Module"}));function Sl(e,t,r){return e.on(t,r),function(){e.off(t,r)}}const kde=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class EU extends ua{constructor(t,r,i){super(),this.connected=!1,this.receiveBuffer=[],this.sendBuffer=[],this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=r,i&&i.auth&&(this.auth=i.auth),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Sl(t,"open",this.onopen.bind(this)),Sl(t,"packet",this.onpacket.bind(this)),Sl(t,"error",this.onerror.bind(this)),Sl(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...r){if(kde.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');r.unshift(t);const i={type:Vn.EVENT,data:r};if(i.options={},i.options.compress=this.flags.compress!==!1,typeof r[r.length-1]=="function"){const u=this.ids++,h=r.pop();this._registerAckCallback(u,h),i.id=u}const s=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!s||!this.connected)||(this.connected?(this.notifyOutgoingListeners(i),this.packet(i)):this.sendBuffer.push(i)),this.flags={},this}_registerAckCallback(t,r){const i=this.flags.timeout;if(i===void 0){this.acks[t]=r;return}const s=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let c=0;c<this.sendBuffer.length;c++)this.sendBuffer[c].id===t&&this.sendBuffer.splice(c,1);r.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...c)=>{this.io.clearTimeoutFn(s),r.apply(this,[null,...c])}}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this.packet({type:Vn.CONNECT,data:t})}):this.packet({type:Vn.CONNECT,data:this.auth})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,r){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,r)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Vn.CONNECT:if(t.data&&t.data.sid){const s=t.data.sid;this.onconnect(s)}else this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Vn.EVENT:case Vn.BINARY_EVENT:this.onevent(t);break;case Vn.ACK:case Vn.BINARY_ACK:this.onack(t);break;case Vn.DISCONNECT:this.ondisconnect();break;case Vn.CONNECT_ERROR:this.destroy();const i=new Error(t.data.message);i.data=t.data.data,this.emitReserved("connect_error",i);break}}onevent(t){const r=t.data||[];t.id!=null&&r.push(this.ack(t.id)),this.connected?this.emitEvent(r):this.receiveBuffer.push(Object.freeze(r))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const r=this._anyListeners.slice();for(const i of r)i.apply(this,t)}super.emit.apply(this,t)}ack(t){const r=this;let i=!1;return function(...s){i||(i=!0,r.packet({type:Vn.ACK,id:t,data:s}))}}onack(t){const r=this.acks[t.id];typeof r=="function"&&(r.apply(this,t.data),delete this.acks[t.id])}onconnect(t){this.id=t,this.connected=!0,this.emitBuffered(),this.emitReserved("connect")}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Vn.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const r=this._anyListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const r=this._anyOutgoingListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const r=this._anyOutgoingListeners.slice();for(const i of r)i.apply(this,t.data)}}}function lv(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}lv.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),r=Math.floor(t*this.jitter*e);e=(Math.floor(t*10)&1)==0?e-r:e+r}return Math.min(e,this.max)|0};lv.prototype.reset=function(){this.attempts=0};lv.prototype.setMin=function(e){this.ms=e};lv.prototype.setMax=function(e){this.max=e};lv.prototype.setJitter=function(e){this.jitter=e};class rk extends ua{constructor(t,r){var i;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(r=t,t=void 0),r=r||{},r.path=r.path||"/socket.io",this.opts=r,pC(this,r),this.reconnection(r.reconnection!==!1),this.reconnectionAttempts(r.reconnectionAttempts||1/0),this.reconnectionDelay(r.reconnectionDelay||1e3),this.reconnectionDelayMax(r.reconnectionDelayMax||5e3),this.randomizationFactor((i=r.randomizationFactor)!==null&&i!==void 0?i:.5),this.backoff=new lv({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(r.timeout==null?2e4:r.timeout),this._readyState="closed",this.uri=t;const s=r.parser||Ode;this.encoder=new s.Encoder,this.decoder=new s.Decoder,this._autoConnect=r.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var r;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(r=this.backoff)===null||r===void 0||r.setMin(t),this)}randomizationFactor(t){var r;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(r=this.backoff)===null||r===void 0||r.setJitter(t),this)}reconnectionDelayMax(t){var r;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(r=this.backoff)===null||r===void 0||r.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new kf(this.uri,this.opts);const r=this.engine,i=this;this._readyState="opening",this.skipReconnect=!1;const s=Sl(r,"open",function(){i.onopen(),t&&t()}),c=Sl(r,"error",u=>{i.cleanup(),i._readyState="closed",this.emitReserved("error",u),t?t(u):i.maybeReconnectOnOpen()});if(this._timeout!==!1){const u=this._timeout;u===0&&s();const h=this.setTimeoutFn(()=>{s(),r.close(),r.emit("error",new Error("timeout"))},u);this.opts.autoUnref&&h.unref(),this.subs.push(function(){clearTimeout(h)})}return this.subs.push(s),this.subs.push(c),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(Sl(t,"ping",this.onping.bind(this)),Sl(t,"data",this.ondata.bind(this)),Sl(t,"error",this.onerror.bind(this)),Sl(t,"close",this.onclose.bind(this)),Sl(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch{this.onclose("parse error")}}ondecoded(t){this.emitReserved("packet",t)}onerror(t){this.emitReserved("error",t)}socket(t,r){let i=this.nsps[t];return i||(i=new EU(this,t,r),this.nsps[t]=i),i}_destroy(t){const r=Object.keys(this.nsps);for(const i of r)if(this.nsps[i].active)return;this._close()}_packet(t){const r=this.encoder.encode(t);for(let i=0;i<r.length;i++)this.engine.write(r[i],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,r){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,r),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const r=this.backoff.duration();this._reconnecting=!0;const i=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(s=>{s?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",s)):t.onreconnect()}))},r);this.opts.autoUnref&&i.unref(),this.subs.push(function(){clearTimeout(i)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const Ry={};function zx(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const r=Sde(e,t.path||"/socket.io"),i=r.source,s=r.id,c=r.path,u=Ry[s]&&c in Ry[s].nsps,h=t.forceNew||t["force new connection"]||t.multiplex===!1||u;let m;return h?m=new rk(i,t):(Ry[s]||(Ry[s]=new rk(i,t)),m=Ry[s]),r.query&&!t.query&&(t.query=r.queryKey),m.socket(r.path,t)}Object.assign(zx,{Manager:rk,Socket:EU,io:zx,connect:zx});const Dde=()=>{const{hostname:e,port:t}=new URL(window.location.href),r=zx(`http://${e}:9090`);let i=!1;return 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+ * use-sync-external-store-shim.development.js
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+ *
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+ * LICENSE file in the root directory of this source tree.
+ */(function(){typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart(new Error);var e=D.exports,t=e.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED;function r(z){{for(var U=arguments.length,V=new Array(U>1?U-1:0),K=1;K<U;K++)V[K-1]=arguments[K];i("error",z,V)}}function i(z,U,V){{var K=t.ReactDebugCurrentFrame,X=K.getStackAddendum();X!==""&&(U+="%s",V=V.concat([X]));var de=V.map(function(ve){return String(ve)});de.unshift("Warning: "+U),Function.prototype.apply.call(console[z],console,de)}}function s(z,U){return z===U&&(z!==0||1/z===1/U)||z!==z&&U!==U}var c=typeof Object.is=="function"?Object.is:s,u=e.useState,h=e.useEffect,m=e.useLayoutEffect,v=e.useDebugValue,b=!1,x=!1;function C(z,U,V){b||e.startTransition!==void 0&&(b=!0,r("You are using an outdated, pre-release alpha of React 18 that does not support useSyncExternalStore. The use-sync-external-store shim will not work correctly. Upgrade to a newer pre-release."));var K=U();if(!x){var X=U();c(K,X)||(r("The result of getSnapshot should be cached to avoid an infinite loop"),x=!0)}var de=u({inst:{value:K,getSnapshot:U}}),ve=de[0].inst,se=de[1];return m(function(){ve.value=K,ve.getSnapshot=U,_(ve)&&se({inst:ve})},[z,K,U]),h(function(){_(ve)&&se({inst:ve});var be=function(){_(ve)&&se({inst:ve})};return z(be)},[z]),v(K),K}function _(z){var U=z.getSnapshot,V=z.value;try{var K=U();return!c(V,K)}catch{return!0}}function N(z,U,V){return U()}var A=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u",I=!A,j=I?N:C,M=e.useSyncExternalStore!==void 0?e.useSyncExternalStore:j;RU.useSyncExternalStore=M,typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop(new Error)})();(function(e){e.exports=RU})(NU);var AU={exports:{}},OU={};/**
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0),size:"xs",fontSize:15},void 0,!1,{fileName:Os,lineNumber:98,columnNumber:15},void 0)},void 0,!1,{fileName:Os,lineNumber:97,columnNumber:13},void 0),k(Ds,{"aria-label":"Use all parameters",colorScheme:"blue",icon:k(ype,{},void 0,!1,{fileName:Os,lineNumber:109,columnNumber:21},void 0),size:"xs",fontSize:15,onClickCapture:N},void 0,!1,{fileName:Os,lineNumber:106,columnNumber:13},void 0),h.metadata.seed&&k(Ds,{"aria-label":"Use seed",colorScheme:"blue",icon:k(wpe,{},void 0,!1,{fileName:Os,lineNumber:118,columnNumber:23},void 0),size:"xs",fontSize:16,onClickCapture:A},void 0,!1,{fileName:Os,lineNumber:115,columnNumber:15},void 0)]},void 0,!0,{fileName:Os,lineNumber:90,columnNumber:11},void 0)]},void 0,!0,{fileName:Os,lineNumber:71,columnNumber:7},void 0)]},b,!0,{fileName:Os,lineNumber:61,columnNumber:5},void 0)},Wpe);var JF="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/gallery/ImageGallery.tsx";const Ype=()=>{const{images:e,currentImageUuid:t}=mr(r=>r.gallery);return k(On,{gap:2,wrap:"wrap",pb:2,children:[...e].reverse().map(r=>{const{uuid:i}=r;return k(Gpe,{image:r,isSelected:t===i},i,!1,{fileName:JF,lineNumber:28,columnNumber:11},void 0)})},void 0,!1,{fileName:JF,lineNumber:23,columnNumber:5},void 0)};function qpe(e){return Zo({tag:"svg",attr:{viewBox:"0 0 24 24"},child:[{tag:"path",attr:{fill:"none",d:"M0 0h24v24H0z"}},{tag:"path",attr:{d:"M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm1 17h-2v-2h2v2zm2.07-7.75l-.9.92C13.45 12.9 13 13.5 13 15h-2v-.5c0-1.1.45-2.1 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41 0-1.1-.9-2-2-2s-2 .9-2 2H8c0-2.21 1.79-4 4-4s4 1.79 4 4c0 .88-.36 1.68-.93 2.25z"}}]})(e)}function Kpe(e){return Zo({tag:"svg",attr:{viewBox:"0 0 24 24"},child:[{tag:"path",attr:{fill:"none",d:"M0 0h24v24H0V0z"}},{tag:"path",attr:{d:"M19.14 12.94c.04-.3.06-.61.06-.94 0-.32-.02-.64-.07-.94l2.03-1.58a.49.49 0 00.12-.61l-1.92-3.32a.488.488 0 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Xpe=$r(e=>e.system,e=>{const{shouldDisplayInProgress:t,shouldConfirmOnDelete:r}=e;return{shouldDisplayInProgress:t,shouldConfirmOnDelete:r}},{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),Zpe=({children:e})=>{const{isOpen:t,onOpen:r,onClose:i}=bO(),{isOpen:s,onOpen:c,onClose:u}=bO(),{shouldDisplayInProgress:h,shouldConfirmOnDelete:m}=mr(Xpe),v=ui(),b=()=>{ZU.purge().then(()=>{i(),c()})};return k(yo,{children:[D.exports.cloneElement(e,{onClick:r}),k(mb,{isOpen:t,onClose:i,children:[k(mw,{},void 0,!1,{fileName:hr,lineNumber:89,columnNumber:9},void 0),k(hw,{children:[k(O2,{children:"Settings"},void 0,!1,{fileName:hr,lineNumber:91,columnNumber:11},void 0),k(e6,{},void 0,!1,{fileName:hr,lineNumber:92,columnNumber:11},void 0),k(pw,{children:k(On,{gap:5,direction:"column",children:[k(Vf,{children:k(uw,{children:[k(Hf,{marginBottom:1,children:"Display in-progress images (slower)"},void 0,!1,{fileName:hr,lineNumber:97,columnNumber:19},void 0),k(zf,{isChecked:h,onChange:x=>v(Ufe(x.target.checked))},void 0,!1,{fileName:hr,lineNumber:100,columnNumber:19},void 0)]},void 0,!0,{fileName:hr,lineNumber:96,columnNumber:17},void 0)},void 0,!1,{fileName:hr,lineNumber:95,columnNumber:15},void 0),k(Vf,{children:k(uw,{children:[k(Hf,{marginBottom:1,children:"Confirm on delete"},void 0,!1,{fileName:hr,lineNumber:110,columnNumber:19},void 0),k(zf,{isChecked:m,onChange:x=>v(fU(x.target.checked))},void 0,!1,{fileName:hr,lineNumber:111,columnNumber:19},void 0)]},void 0,!0,{fileName:hr,lineNumber:109,columnNumber:17},void 0)},void 0,!1,{fileName:hr,lineNumber:108,columnNumber:15},void 0),k(c2,{size:"md",children:"Reset Web UI"},void 0,!1,{fileName:hr,lineNumber:120,columnNumber:15},void 0),k(Or,{children:"Resetting the web UI only resets the browser's local cache of your images and remembered settings. It does not delete any images from disk."},void 0,!1,{fileName:hr,lineNumber:121,columnNumber:15},void 0),k(Or,{children:"If images aren't showing up in the gallery or something else isn't working, please try resetting before submitting an issue on GitHub."},void 0,!1,{fileName:hr,lineNumber:126,columnNumber:15},void 0),k(hu,{colorScheme:"red",onClick:b,children:"Reset Web UI"},void 0,!1,{fileName:hr,lineNumber:131,columnNumber:15},void 0)]},void 0,!0,{fileName:hr,lineNumber:94,columnNumber:13},void 0)},void 0,!1,{fileName:hr,lineNumber:93,columnNumber:11},void 0),k(A2,{children:k(hu,{onClick:i,children:"Close"},void 0,!1,{fileName:hr,lineNumber:138,columnNumber:13},void 0)},void 0,!1,{fileName:hr,lineNumber:137,columnNumber:11},void 0)]},void 0,!0,{fileName:hr,lineNumber:90,columnNumber:9},void 0)]},void 0,!0,{fileName:hr,lineNumber:88,columnNumber:7},void 0),k(mb,{closeOnOverlayClick:!1,isOpen:s,onClose:u,isCentered:!0,children:[k(mw,{bg:"blackAlpha.300",backdropFilter:"blur(40px)"},void 0,!1,{fileName:hr,lineNumber:149,columnNumber:9},void 0),k(hw,{children:k(pw,{pb:6,pt:6,children:k(On,{justifyContent:"center",children:k(Or,{fontSize:"lg",children:"Web UI has been reset. Refresh the page to reload."},void 0,!1,{fileName:hr,lineNumber:153,columnNumber:15},void 0)},void 0,!1,{fileName:hr,lineNumber:152,columnNumber:13},void 0)},void 0,!1,{fileName:hr,lineNumber:151,columnNumber:11},void 0)},void 0,!1,{fileName:hr,lineNumber:150,columnNumber:9},void 0)]},void 0,!0,{fileName:hr,lineNumber:143,columnNumber:7},void 0)]},void 0,!0)};var Ri="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/header/SiteHeader.tsx";const Qpe=$r(e=>e.system,e=>({isConnected:e.isConnected}),{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),Jpe=()=>{const{colorMode:e,toggleColorMode:t}=kw(),{isConnected:r}=mr(Qpe),i=r?"Connected to server":"No connection to server",s=r?"green.500":"red.500",c=e=="light"?k(Spe,{},void 0,!1,{fileName:Ri,lineNumber:43,columnNumber:48},void 0):k(Cpe,{},void 0,!1,{fileName:Ri,lineNumber:43,columnNumber:61},void 0),u=e=="light"?18:20;return k(On,{minWidth:"max-content",alignItems:"center",gap:"1",pl:2,pr:1,children:[k(c2,{size:"lg",children:"Stable Diffusion Dream Server"},void 0,!1,{fileName:Ri,lineNumber:50,columnNumber:7},void 0),k(Kz,{},void 0,!1,{fileName:Ri,lineNumber:52,columnNumber:7},void 0),k(Or,{textColor:s,children:i},void 0,!1,{fileName:Ri,lineNumber:54,columnNumber:7},void 0),k(Zpe,{children:k(Ds,{"aria-label":"Settings",variant:"link",fontSize:24,size:"sm",icon:k(Kpe,{},void 0,!1,{fileName:Ri,lineNumber:62,columnNumber:17},void 0)},void 0,!1,{fileName:Ri,lineNumber:57,columnNumber:9},void 0)},void 0,!1,{fileName:Ri,lineNumber:56,columnNumber:7},void 0),k(Ds,{"aria-label":"Link to Github Issues",variant:"link",fontSize:23,size:"sm",icon:k(lw,{isExternal:!0,href:"http://github.com/lstein/stable-diffusion/issues",children:k(qpe,{},void 0,!1,{fileName:Ri,lineNumber:76,columnNumber:13},void 0)},void 0,!1,{fileName:Ri,lineNumber:72,columnNumber:11},void 0)},void 0,!1,{fileName:Ri,lineNumber:66,columnNumber:7},void 0),k(Ds,{"aria-label":"Link to Github Repo",variant:"link",fontSize:20,size:"sm",icon:k(lw,{isExternal:!0,href:"http://github.com/lstein/stable-diffusion",children:k(hpe,{},void 0,!1,{fileName:Ri,lineNumber:88,columnNumber:13},void 0)},void 0,!1,{fileName:Ri,lineNumber:87,columnNumber:11},void 0)},void 0,!1,{fileName:Ri,lineNumber:81,columnNumber:7},void 0),k(Ds,{"aria-label":"Toggle Dark Mode",onClick:t,variant:"link",size:"sm",fontSize:u,icon:c},void 0,!1,{fileName:Ri,lineNumber:93,columnNumber:7},void 0)]},void 0,!0,{fileName:Ri,lineNumber:49,columnNumber:5},void 0)};var sc="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/components/SDNumberInput.tsx";const Uf=e=>{const{label:t,isDisabled:r=!1,fontSize:i="md",size:s="sm",width:c,isInvalid:u,...h}=e;return k(Vf,{isDisabled:r,width:c,isInvalid:u,children:k(On,{gap:2,justifyContent:"space-between",alignItems:"center",children:[t&&k(Hf,{marginBottom:1,children:k(Or,{fontSize:i,whiteSpace:"nowrap",children:t},void 0,!1,{fileName:sc,lineNumber:37,columnNumber:13},void 0)},void 0,!1,{fileName:sc,lineNumber:36,columnNumber:11},void 0),k(a6,{size:s,...h,keepWithinRange:!1,clampValueOnBlur:!0,children:[k(o6,{fontSize:"md"},void 0,!1,{fileName:sc,lineNumber:48,columnNumber:11},void 0),k(i6,{children:[k(u6,{},void 0,!1,{fileName:sc,lineNumber:50,columnNumber:13},void 0),k(l6,{},void 0,!1,{fileName:sc,lineNumber:51,columnNumber:13},void 0)]},void 0,!0,{fileName:sc,lineNumber:49,columnNumber:11},void 0)]},void 0,!0,{fileName:sc,lineNumber:42,columnNumber:9},void 0)]},void 0,!0,{fileName:sc,lineNumber:34,columnNumber:7},void 0)},void 0,!1,{fileName:sc,lineNumber:33,columnNumber:5},void 0)};var gx="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/components/SDSwitch.tsx";const Tw=e=>{const{label:t,isDisabled:r=!1,fontSize:i="md",size:s="md",width:c,...u}=e;return k(Vf,{isDisabled:r,width:c,children:k(On,{justifyContent:"space-between",alignItems:"center",children:[t&&k(Hf,{fontSize:i,marginBottom:1,flexGrow:2,whiteSpace:"nowrap",children:t},void 0,!1,{fileName:gx,lineNumber:30,columnNumber:11},void 0),k(zf,{size:s,...u},void 0,!1,{fileName:gx,lineNumber:39,columnNumber:9},void 0)]},void 0,!0,{fileName:gx,lineNumber:28,columnNumber:7},void 0)},void 0,!1,{fileName:gx,lineNumber:27,columnNumber:5},void 0)};var po="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/SeedVariationOptions.tsx";const ehe=$r(e=>e.sd,e=>({variationAmount:e.variationAmount,seedWeights:e.seedWeights,shouldGenerateVariations:e.shouldGenerateVariations,shouldRandomizeSeed:e.shouldRandomizeSeed,seed:e.seed,iterations:e.iterations}),{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),the=()=>{const{shouldGenerateVariations:e,variationAmount:t,seedWeights:r,shouldRandomizeSeed:i,seed:s,iterations:c}=mr(ehe),u=ui(),h=N=>u(qce(Number(N))),m=N=>u(pfe(N.target.checked)),v=N=>u(Ew(Number(N))),b=()=>u(Ew(oU(ZO,QO))),x=N=>u(lfe(N.target.checked)),C=N=>u(cfe(Number(N))),_=N=>u(ufe(N.target.value));return k(On,{gap:2,direction:"column",children:[k(Uf,{label:"Images to generate",step:1,min:1,precision:0,onChange:h,value:c},void 0,!1,{fileName:po,lineNumber:87,columnNumber:7},void 0),k(Tw,{label:"Randomize seed on generation",isChecked:i,onChange:m},void 0,!1,{fileName:po,lineNumber:95,columnNumber:7},void 0),k(On,{gap:2,children:[k(Uf,{label:"Seed",step:1,precision:0,flexGrow:1,min:ZO,max:QO,isDisabled:i,isInvalid:s<0&&e,onChange:v,value:s},void 0,!1,{fileName:po,lineNumber:101,columnNumber:9},void 0),k(hu,{size:"sm",isDisabled:i,onClick:b,children:k(Or,{pl:2,pr:2,children:"Shuffle"},void 0,!1,{fileName:po,lineNumber:118,columnNumber:11},void 0)},void 0,!1,{fileName:po,lineNumber:113,columnNumber:9},void 0)]},void 0,!0,{fileName:po,lineNumber:100,columnNumber:7},void 0),k(Tw,{label:"Generate variations",isChecked:e,width:"auto",onChange:x},void 0,!1,{fileName:po,lineNumber:123,columnNumber:7},void 0),k(Uf,{label:"Variation amount",value:t,step:.01,min:0,max:1,onChange:C},void 0,!1,{fileName:po,lineNumber:129,columnNumber:7},void 0),k(Vf,{isInvalid:e&&!(dC(r)||r===""),flexGrow:1,children:k(uw,{children:[k(Hf,{marginInlineEnd:0,marginBottom:1,children:k(Or,{whiteSpace:"nowrap",children:"Seed Weights"},void 0,!1,{fileName:po,lineNumber:146,columnNumber:13},void 0)},void 0,!1,{fileName:po,lineNumber:145,columnNumber:11},void 0),k(s2,{size:"sm",value:r,onChange:_},void 0,!1,{fileName:po,lineNumber:148,columnNumber:11},void 0)]},void 0,!0,{fileName:po,lineNumber:144,columnNumber:9},void 0)},void 0,!1,{fileName:po,lineNumber:137,columnNumber:7},void 0)]},void 0,!0,{fileName:po,lineNumber:86,columnNumber:5},void 0)};var Sp="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/components/SDSelect.tsx";const Nw=e=>{const{label:t,isDisabled:r,validValues:i,size:s="sm",fontSize:c="md",marginBottom:u=1,whiteSpace:h="nowrap",...m}=e;return k(Vf,{isDisabled:r,children:k(On,{justifyContent:"space-between",alignItems:"center",children:[k(Hf,{marginBottom:u,children:k(Or,{fontSize:c,whiteSpace:h,children:t},void 0,!1,{fileName:Sp,lineNumber:34,columnNumber:11},void 0)},void 0,!1,{fileName:Sp,lineNumber:33,columnNumber:9},void 0),k(d6,{fontSize:c,size:s,...m,children:i.map(v=>typeof v=="string"||typeof v=="number"?k("option",{value:v,children:v},v,!1,{fileName:Sp,lineNumber:41,columnNumber:15},void 0):k("option",{value:v.value,children:v.key},v.value,!1,{fileName:Sp,lineNumber:45,columnNumber:15},void 0))},void 0,!1,{fileName:Sp,lineNumber:38,columnNumber:9},void 0)]},void 0,!0,{fileName:Sp,lineNumber:32,columnNumber:7},void 0)},void 0,!1,{fileName:Sp,lineNumber:31,columnNumber:5},void 0)};var yx="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/SamplerOptions.tsx";const nhe=$r(e=>e.sd,e=>({steps:e.steps,cfgScale:e.cfgScale,sampler:e.sampler}),{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),rhe=()=>{const e=ui(),{steps:t,cfgScale:r,sampler:i}=mr(nhe);return k(On,{gap:2,direction:"column",children:[k(Uf,{label:"Steps",min:1,step:1,precision:0,onChange:h=>e(Kce(Number(h))),value:t},void 0,!1,{fileName:yx,lineNumber:50,columnNumber:7},void 0),k(Uf,{label:"CFG scale",step:.5,onChange:h=>e(Xce(Number(h))),value:r},void 0,!1,{fileName:yx,lineNumber:58,columnNumber:7},void 0),k(Nw,{label:"Sampler",value:i,onChange:h=>e(Jce(h.target.value)),validValues:Sfe},void 0,!1,{fileName:yx,lineNumber:64,columnNumber:7},void 0)]},void 0,!0,{fileName:yx,lineNumber:49,columnNumber:5},void 0)};var RA="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/ESRGANOptions.tsx";const ahe=$r(e=>e.sd,e=>({upscalingLevel:e.upscalingLevel,upscalingStrength:e.upscalingStrength}),{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),ihe=$r(e=>e.system,e=>({isESRGANAvailable:e.isESRGANAvailable}),{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),ohe=()=>{const e=ui(),{upscalingLevel:t,upscalingStrength:r}=mr(ahe),{isESRGANAvailable:i}=mr(ihe);return k(On,{direction:"column",gap:2,children:[k(Nw,{isDisabled:!i,label:"Scale",value:t,onChange:u=>e(rfe(Number(u.target.value))),validValues:Cfe},void 0,!1,{fileName:RA,lineNumber:67,columnNumber:7},void 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+                    "header header header header"
+                    "progressBar progressBar progressBar progressBar"
+                    "menu prompt processButtons imageRoll"
+                    "menu currentImage currentImage imageRoll"`,gridTemplateRows:"36px 10px 100px auto",gridTemplateColumns:"350px auto 100px 388px",gap:2,children:[k(Nf,{area:"header",pt:1,children:k(Jpe,{},void 0,!1,{fileName:Ai,lineNumber:37,columnNumber:11},void 0)},void 0,!1,{fileName:Ai,lineNumber:36,columnNumber:9},void 0),k(Nf,{area:"progressBar",children:k(Bpe,{},void 0,!1,{fileName:Ai,lineNumber:40,columnNumber:11},void 0)},void 0,!1,{fileName:Ai,lineNumber:39,columnNumber:9},void 0),k(Nf,{pl:"2",area:"menu",overflowY:"scroll",children:k(hme,{},void 0,!1,{fileName:Ai,lineNumber:43,columnNumber:11},void 0)},void 0,!1,{fileName:Ai,lineNumber:42,columnNumber:9},void 0),k(Nf,{area:"prompt",children:k(Lpe,{},void 0,!1,{fileName:Ai,lineNumber:46,columnNumber:11},void 0)},void 0,!1,{fileName:Ai,lineNumber:45,columnNumber:9},void 0),k(Nf,{area:"processButtons",children:k(Hpe,{},void 0,!1,{fileName:Ai,lineNumber:49,columnNumber:11},void 0)},void 0,!1,{fileName:Ai,lineNumber:48,columnNumber:9},void 0),k(Nf,{area:"currentImage",children:k(kpe,{},void 0,!1,{fileName:Ai,lineNumber:52,columnNumber:11},void 0)},void 0,!1,{fileName:Ai,lineNumber:51,columnNumber:9},void 0),k(Nf,{pr:"2",area:"imageRoll",overflowY:"scroll",children:k(Ype,{},void 0,!1,{fileName:Ai,lineNumber:55,columnNumber:11},void 0)},void 0,!1,{fileName:Ai,lineNumber:54,columnNumber:9},void 0)]},void 0,!0,{fileName:Ai,lineNumber:24,columnNumber:7},void 0),k(Mpe,{},void 0,!1,{fileName:Ai,lineNumber:58,columnNumber:7},void 0)]},void 0,!0)},p3=Cue({config:{initialColorMode:"dark",useSystemColorMode:!1},components:{Tooltip:{baseStyle:e=>({textColor:e.colorMode==="dark"?"gray.800":"gray.100"})},Accordion:{baseStyle:e=>({button:{fontWeight:"bold",_hover:{bgColor:e.colorMode==="dark"?"rgba(255,255,255,0.05)":"rgba(0,0,0,0.05)"}},panel:{paddingBottom:2}})},FormLabel:{baseStyle:{fontWeight:"light"}}}});var h3="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/Loading.tsx";const vme=()=>k(On,{width:"100vw",height:"100vh",alignItems:"center",justifyContent:"center",children:k(eC,{thickness:"2px",speed:"1s",emptyColor:"gray.200",color:"gray.400",size:"xl"},void 0,!1,{fileName:h3,lineNumber:11,columnNumber:13},void 0)},void 0,!1,{fileName:h3,lineNumber:5,columnNumber:9},void 0);var wp="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/main.tsx";const ZU=Lce(TU);kA.createRoot(document.getElementById("root")).render(k(Ue.StrictMode,{children:k(ape,{store:TU,children:k(IU,{loading:k(vme,{},void 0,!1,{fileName:wp,lineNumber:18,columnNumber:29},void 0),persistor:ZU,children:k(wue,{theme:p3,children:[k(eH,{initialColorMode:p3.config.initialColorMode},void 0,!1,{fileName:wp,lineNumber:20,columnNumber:11},void 0),k(mme,{},void 0,!1,{fileName:wp,lineNumber:21,columnNumber:11},void 0)]},void 0,!0,{fileName:wp,lineNumber:19,columnNumber:9},void 0)},void 0,!1,{fileName:wp,lineNumber:18,columnNumber:7},void 0)},void 0,!1,{fileName:wp,lineNumber:17,columnNumber:5},void 0)},void 0,!1,{fileName:wp,lineNumber:16,columnNumber:3},void 0));
diff --git a/frontend/dist/assets/index.cc5cde43.js b/frontend/dist/assets/index.cc5cde43.js
deleted file mode 100644
index ae1796b519..0000000000
--- a/frontend/dist/assets/index.cc5cde43.js
+++ /dev/null
@@ -1,695 +0,0 @@
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- * react.development.js
- *
- * Copyright (c) Facebook, Inc. and its affiliates.
- *
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i=mu(e)?e:Wm(e);return j2("",i,t,r),{stop:()=>i.stop(),isAnimating:()=>i.isAnimating()}}const dz=["TopLeft","TopRight","BottomLeft","BottomRight"],mK=dz.length,kL=e=>typeof e=="string"?parseFloat(e):e,DL=e=>typeof e=="number"||Wt.test(e);function vK(e,t,r,i,s,c){var u,h,m,v;s?(e.opacity=jr(0,(u=r.opacity)!==null&&u!==void 0?u:1,gK(i)),e.opacityExit=jr((h=t.opacity)!==null&&h!==void 0?h:1,0,yK(i))):c&&(e.opacity=jr((m=t.opacity)!==null&&m!==void 0?m:1,(v=r.opacity)!==null&&v!==void 0?v:1,i));for(let b=0;b<mK;b++){const x=`border${dz[b]}Radius`;let C=PL(t,x),_=PL(r,x);if(C===void 0&&_===void 0)continue;C||(C=0),_||(_=0),C===0||_===0||DL(C)===DL(_)?(e[x]=Math.max(jr(kL(C),kL(_),i),0),(cu.test(_)||cu.test(C))&&(e[x]+="%")):e[x]=_}(t.rotate||r.rotate)&&(e.rotate=jr(t.rotate||0,r.rotate||0,i))}function PL(e,t){var r;return(r=e[t])!==null&&r!==void 0?r:e.borderRadius}const gK=pz(0,.5,D2),yK=pz(.5,.95,A2);function pz(e,t,r){return i=>i<e?0:i>t?1:r(ab(e,t,i))}function ML(e,t){e.min=t.min,e.max=t.max}function gl(e,t){ML(e.x,t.x),ML(e.y,t.y)}function IL(e,t,r,i,s){return e-=t,e=rw(e,1/r,i),s!==void 0&&(e=rw(e,1/s,i)),e}function bK(e,t=0,r=1,i=.5,s,c=e,u=e){if(cu.test(t)&&(t=parseFloat(t),t=jr(u.min,u.max,t/100)-u.min),typeof t!="number")return;let h=jr(c.min,c.max,i);e===c&&(h-=t),e.min=IL(e.min,t,r,h,s),e.max=IL(e.max,t,r,h,s)}function LL(e,t,[r,i,s],c,u){bK(e,t[r],t[i],t[s],t.scale,c,u)}const SK=["x","scaleX","originX"],xK=["y","scaleY","originY"];function FL(e,t,r,i){LL(e.x,t,SK,r?.x,i?.x),LL(e.y,t,xK,r?.y,i?.y)}function zL(e){return e.translate===0&&e.scale===1}function hz(e){return zL(e.x)&&zL(e.y)}function mz(e,t){return e.x.min===t.x.min&&e.x.max===t.x.max&&e.y.min===t.y.min&&e.y.max===t.y.max}function BL(e){return Ko(e.x)/Ko(e.y)}function wK(e,t,r=.01){return M2(e,t)<=r}class CK{constructor(){this.members=[]}add(t){$2(this.members,t),t.scheduleRender()}remove(t){if(V2(this.members,t),t===this.prevLead&&(this.prevLead=void 0),t===this.lead){const r=this.members[this.members.length-1];r&&this.promote(r)}}relegate(t){const r=this.members.findIndex(s=>t===s);if(r===0)return!1;let i;for(let s=r;s>=0;s--){const c=this.members[s];if(c.isPresent!==!1){i=c;break}}return i?(this.promote(i),!0):!1}promote(t,r){var i;const s=this.lead;if(t!==s&&(this.prevLead=s,this.lead=t,t.show(),s)){s.instance&&s.scheduleRender(),t.scheduleRender(),t.resumeFrom=s,r&&(t.resumeFrom.preserveOpacity=!0),s.snapshot&&(t.snapshot=s.snapshot,t.snapshot.latestValues=s.animationValues||s.latestValues,t.snapshot.isShared=!0),!((i=t.root)===null||i===void 0)&&i.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:c}=t.options;c===!1&&s.hide()}}exitAnimationComplete(){this.members.forEach(t=>{var r,i,s,c,u;(i=(r=t.options).onExitComplete)===null||i===void 0||i.call(r),(u=(s=t.resumingFrom)===null||s===void 0?void 0:(c=s.options).onExitComplete)===null||u===void 0||u.call(c)})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}const _K="translate3d(0px, 0px, 0) scale(1, 1) scale(1, 1)";function UL(e,t,r){const i=e.x.translate/t.x,s=e.y.translate/t.y;let c=`translate3d(${i}px, ${s}px, 0) `;if(c+=`scale(${1/t.x}, ${1/t.y}) `,r){const{rotate:m,rotateX:v,rotateY:b}=r;m&&(c+=`rotate(${m}deg) `),v&&(c+=`rotateX(${v}deg) `),b&&(c+=`rotateY(${b}deg) `)}const u=e.x.scale*t.x,h=e.y.scale*t.y;return c+=`scale(${u}, ${h})`,c===_K?"none":c}const EK=(e,t)=>e.depth-t.depth;class TK{constructor(){this.children=[],this.isDirty=!1}add(t){$2(this.children,t),this.isDirty=!0}remove(t){V2(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(EK),this.isDirty=!1,this.children.forEach(t)}}const jL=["","X","Y","Z"],$L=1e3;function vz({attachResizeListener:e,defaultParent:t,measureScroll:r,checkIsScrollRoot:i,resetTransform:s}){return class{constructor(u,h={},m=t?.()){this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.potentialNodes=new Map,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{this.nodes.forEach(DK),this.nodes.forEach(PK)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.id=u,this.latestValues=h,this.root=m?m.root||m:this,this.path=m?[...m.path,m]:[],this.parent=m,this.depth=m?m.depth+1:0,u&&this.root.registerPotentialNode(u,this);for(let v=0;v<this.path.length;v++)this.path[v].shouldResetTransform=!0;this.root===this&&(this.nodes=new TK)}addEventListener(u,h){return this.eventHandlers.has(u)||this.eventHandlers.set(u,new zy),this.eventHandlers.get(u).add(h)}notifyListeners(u,...h){const m=this.eventHandlers.get(u);m?.notify(...h)}hasListeners(u){return this.eventHandlers.has(u)}registerPotentialNode(u,h){this.potentialNodes.set(u,h)}mount(u,h=!1){var m;if(this.instance)return;this.isSVG=u instanceof SVGElement&&u.tagName!=="svg",this.instance=u;const{layoutId:v,layout:b,visualElement:x}=this.options;if(x&&!x.getInstance()&&x.mount(u),this.root.nodes.add(this),(m=this.parent)===null||m===void 0||m.children.add(this),this.id&&this.root.potentialNodes.delete(this.id),h&&(b||v)&&(this.isLayoutDirty=!0),e){let C;const _=()=>this.root.updateBlockedByResize=!1;e(u,()=>{this.root.updateBlockedByResize=!0,clearTimeout(C),C=window.setTimeout(_,250),Iy.hasAnimatedSinceResize&&(Iy.hasAnimatedSinceResize=!1,this.nodes.forEach(kK))})}v&&this.root.registerSharedNode(v,this),this.options.animate!==!1&&x&&(v||b)&&this.addEventListener("didUpdate",({delta:C,hasLayoutChanged:_,hasRelativeTargetChanged:R,layout:A})=>{var M,j,I,z,B;if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const $=(j=(M=this.options.transition)!==null&&M!==void 0?M:x.getDefaultTransition())!==null&&j!==void 0?j:zK,{onLayoutAnimationStart:K,onLayoutAnimationComplete:X}=x.getProps(),de=!this.targetLayout||!mz(this.targetLayout,A)||R,ve=!_&&R;if(((I=this.resumeFrom)===null||I===void 0?void 0:I.instance)||ve||_&&(de||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(C,ve);const se={...U2($,"layout"),onPlay:K,onComplete:X};x.shouldReduceMotion&&(se.delay=0,se.type=!1),this.startAnimation(se)}else!_&&this.animationProgress===0&&this.finishAnimation(),this.isLead()&&((B=(z=this.options).onExitComplete)===null||B===void 0||B.call(z));this.targetLayout=A})}unmount(){var u,h;this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this),(u=this.getStack())===null||u===void 0||u.remove(this),(h=this.parent)===null||h===void 0||h.children.delete(this),this.instance=void 0,sb.preRender(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){var u;return this.isAnimationBlocked||((u=this.parent)===null||u===void 0?void 0:u.isTreeAnimationBlocked())||!1}startUpdate(){var u;this.isUpdateBlocked()||(this.isUpdating=!0,(u=this.nodes)===null||u===void 0||u.forEach(MK))}willUpdate(u=!0){var h,m,v;if(this.root.isUpdateBlocked()){(m=(h=this.options).onExitComplete)===null||m===void 0||m.call(h);return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let _=0;_<this.path.length;_++){const R=this.path[_];R.shouldResetTransform=!0,R.updateScroll()}const{layoutId:b,layout:x}=this.options;if(b===void 0&&!x)return;const C=(v=this.options.visualElement)===null||v===void 0?void 0:v.getProps().transformTemplate;this.prevTransformTemplateValue=C?.(this.latestValues,""),this.updateSnapshot(),u&&this.notifyListeners("willUpdate")}didUpdate(){if(this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(VL);return}!this.isUpdating||(this.isUpdating=!1,this.potentialNodes.size&&(this.potentialNodes.forEach(BK),this.potentialNodes.clear()),this.nodes.forEach(AK),this.nodes.forEach(NK),this.nodes.forEach(RK),this.clearAllSnapshots(),VR.update(),VR.preRender(),VR.render())}clearAllSnapshots(){this.nodes.forEach(OK),this.sharedNodes.forEach(IK)}scheduleUpdateProjection(){fu.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){fu.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){if(this.snapshot||!this.instance)return;const u=this.measure(),h=this.removeTransform(this.removeElementScroll(u));YL(h),this.snapshot={measured:u,layout:h,latestValues:{}}}updateLayout(){var u;if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let v=0;v<this.path.length;v++)this.path[v].updateScroll();const h=this.measure();YL(h);const m=this.layout;this.layout={measured:h,actual:this.removeElementScroll(h)},this.layoutCorrected=si(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.actual),(u=this.options.visualElement)===null||u===void 0||u.notifyLayoutMeasure(this.layout.actual,m?.actual)}updateScroll(){this.options.layoutScroll&&this.instance&&(this.isScrollRoot=i(this.instance),this.scroll=r(this.instance))}resetTransform(){var u;if(!s)return;const h=this.isLayoutDirty||this.shouldResetTransform,m=this.projectionDelta&&!hz(this.projectionDelta),v=(u=this.options.visualElement)===null||u===void 0?void 0:u.getProps().transformTemplate,b=v?.(this.latestValues,""),x=b!==this.prevTransformTemplateValue;h&&(m||_f(this.latestValues)||x)&&(s(this.instance,b),this.shouldResetTransform=!1,this.scheduleRender())}measure(){const{visualElement:u}=this.options;if(!u)return si();const h=u.measureViewportBox(),{scroll:m}=this.root;return m&&(Nf(h.x,m.x),Nf(h.y,m.y)),h}removeElementScroll(u){const h=si();gl(h,u);for(let m=0;m<this.path.length;m++){const v=this.path[m],{scroll:b,options:x,isScrollRoot:C}=v;if(v!==this.root&&b&&x.layoutScroll){if(C){gl(h,u);const{scroll:_}=this.root;_&&(Nf(h.x,-_.x),Nf(h.y,-_.y))}Nf(h.x,b.x),Nf(h.y,b.y)}}return h}applyTransform(u,h=!1){const m=si();gl(m,u);for(let v=0;v<this.path.length;v++){const b=this.path[v];!h&&b.options.layoutScroll&&b.scroll&&b!==b.root&&km(m,{x:-b.scroll.x,y:-b.scroll.y}),_f(b.latestValues)&&km(m,b.latestValues)}return _f(this.latestValues)&&km(m,this.latestValues),m}removeTransform(u){var h;const m=si();gl(m,u);for(let v=0;v<this.path.length;v++){const b=this.path[v];if(!b.instance||!_f(b.latestValues))continue;tz(b.latestValues)&&b.updateSnapshot();const x=si(),C=b.measure();gl(x,C),FL(m,b.latestValues,(h=b.snapshot)===null||h===void 0?void 0:h.layout,x)}return _f(this.latestValues)&&FL(m,this.latestValues),m}setTargetDelta(u){this.targetDelta=u,this.root.scheduleUpdateProjection()}setOptions(u){this.options={...this.options,...u,crossfade:u.crossfade!==void 0?u.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}resolveTargetDelta(){var u;const{layout:h,layoutId:m}=this.options;!this.layout||!(h||m)||(!this.targetDelta&&!this.relativeTarget&&(this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&this.relativeParent.layout&&(this.relativeTarget=si(),this.relativeTargetOrigin=si(),Uy(this.relativeTargetOrigin,this.layout.actual,this.relativeParent.layout.actual),gl(this.relativeTarget,this.relativeTargetOrigin))),!(!this.relativeTarget&&!this.targetDelta)&&(this.target||(this.target=si(),this.targetWithTransforms=si()),this.relativeTarget&&this.relativeTargetOrigin&&((u=this.relativeParent)===null||u===void 0?void 0:u.target)?wq(this.target,this.relativeTarget,this.relativeParent.target):this.targetDelta?(Boolean(this.resumingFrom)?this.target=this.applyTransform(this.layout.actual):gl(this.target,this.layout.actual),nz(this.target,this.targetDelta)):gl(this.target,this.layout.actual),this.attemptToResolveRelativeTarget&&(this.attemptToResolveRelativeTarget=!1,this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&Boolean(this.relativeParent.resumingFrom)===Boolean(this.resumingFrom)&&!this.relativeParent.options.layoutScroll&&this.relativeParent.target&&(this.relativeTarget=si(),this.relativeTargetOrigin=si(),Uy(this.relativeTargetOrigin,this.target,this.relativeParent.target),gl(this.relativeTarget,this.relativeTargetOrigin)))))}getClosestProjectingParent(){if(!(!this.parent||_f(this.parent.latestValues)))return(this.parent.relativeTarget||this.parent.targetDelta)&&this.parent.layout?this.parent:this.parent.getClosestProjectingParent()}calcProjection(){var u;const{layout:h,layoutId:m}=this.options;if(this.isTreeAnimating=Boolean(((u=this.parent)===null||u===void 0?void 0:u.isTreeAnimating)||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(h||m))return;const v=this.getLead();gl(this.layoutCorrected,this.layout.actual),kq(this.layoutCorrected,this.treeScale,this.path,Boolean(this.resumingFrom)||this!==v);const{target:b}=v;if(!b)return;this.projectionDelta||(this.projectionDelta=jy(),this.projectionDeltaWithTransform=jy());const x=this.treeScale.x,C=this.treeScale.y,_=this.projectionTransform;By(this.projectionDelta,this.layoutCorrected,b,this.latestValues),this.projectionTransform=UL(this.projectionDelta,this.treeScale),(this.projectionTransform!==_||this.treeScale.x!==x||this.treeScale.y!==C)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",b))}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(u=!0){var h,m,v;(m=(h=this.options).scheduleRender)===null||m===void 0||m.call(h),u&&((v=this.getStack())===null||v===void 0||v.scheduleRender()),this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(u,h=!1){var m;const v=this.snapshot,b=v?.latestValues||{},x={...this.latestValues},C=jy();this.relativeTarget=this.relativeTargetOrigin=void 0,this.attemptToResolveRelativeTarget=!h;const _=si(),R=v?.isShared,A=(((m=this.getStack())===null||m===void 0?void 0:m.members.length)||0)<=1,M=Boolean(R&&!A&&this.options.crossfade===!0&&!this.path.some(FK));this.animationProgress=0,this.mixTargetDelta=j=>{var I;const z=j/1e3;HL(C.x,u.x,z),HL(C.y,u.y,z),this.setTargetDelta(C),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&((I=this.relativeParent)===null||I===void 0?void 0:I.layout)&&(Uy(_,this.layout.actual,this.relativeParent.layout.actual),LK(this.relativeTarget,this.relativeTargetOrigin,_,z)),R&&(this.animationValues=x,vK(x,b,this.latestValues,z,M,A)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=z},this.mixTargetDelta(0)}startAnimation(u){var h,m;this.notifyListeners("animationStart"),(h=this.currentAnimation)===null||h===void 0||h.stop(),this.resumingFrom&&((m=this.resumingFrom.currentAnimation)===null||m===void 0||m.stop()),this.pendingAnimation&&(sb.update(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=fu.update(()=>{Iy.hasAnimatedSinceResize=!0,this.currentAnimation=hK(0,$L,{...u,onUpdate:v=>{var b;this.mixTargetDelta(v),(b=u.onUpdate)===null||b===void 0||b.call(u,v)},onComplete:()=>{var v;(v=u.onComplete)===null||v===void 0||v.call(u),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){var u;this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0),(u=this.getStack())===null||u===void 0||u.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){var u;this.currentAnimation&&((u=this.mixTargetDelta)===null||u===void 0||u.call(this,$L),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const u=this.getLead();let{targetWithTransforms:h,target:m,layout:v,latestValues:b}=u;if(!(!h||!m||!v)){if(this!==u&&this.layout&&v&&gz(this.options.animationType,this.layout.actual,v.actual)){m=this.target||si();const x=Ko(this.layout.actual.x);m.x.min=u.target.x.min,m.x.max=m.x.min+x;const C=Ko(this.layout.actual.y);m.y.min=u.target.y.min,m.y.max=m.y.min+C}gl(h,m),km(h,b),By(this.projectionDeltaWithTransform,this.layoutCorrected,h,b)}}registerSharedNode(u,h){var m,v,b;this.sharedNodes.has(u)||this.sharedNodes.set(u,new CK),this.sharedNodes.get(u).add(h),h.promote({transition:(m=h.options.initialPromotionConfig)===null||m===void 0?void 0:m.transition,preserveFollowOpacity:(b=(v=h.options.initialPromotionConfig)===null||v===void 0?void 0:v.shouldPreserveFollowOpacity)===null||b===void 0?void 0:b.call(v,h)})}isLead(){const u=this.getStack();return u?u.lead===this:!0}getLead(){var u;const{layoutId:h}=this.options;return h?((u=this.getStack())===null||u===void 0?void 0:u.lead)||this:this}getPrevLead(){var u;const{layoutId:h}=this.options;return h?(u=this.getStack())===null||u===void 0?void 0:u.prevLead:void 0}getStack(){const{layoutId:u}=this.options;if(u)return this.root.sharedNodes.get(u)}promote({needsReset:u,transition:h,preserveFollowOpacity:m}={}){const v=this.getStack();v&&v.promote(this,m),u&&(this.projectionDelta=void 0,this.needsReset=!0),h&&this.setOptions({transition:h})}relegate(){const u=this.getStack();return u?u.relegate(this):!1}resetRotation(){const{visualElement:u}=this.options;if(!u)return;let h=!1;const m={};for(let v=0;v<jL.length;v++){const b=jL[v],x="rotate"+b;!u.getStaticValue(x)||(h=!0,m[x]=u.getStaticValue(x),u.setStaticValue(x,0))}if(!!h){u?.syncRender();for(const v in m)u.setStaticValue(v,m[v]);u.scheduleRender()}}getProjectionStyles(u={}){var h,m,v;const b={};if(!this.instance||this.isSVG)return b;if(this.isVisible)b.visibility="";else return{visibility:"hidden"};const x=(h=this.options.visualElement)===null||h===void 0?void 0:h.getProps().transformTemplate;if(this.needsReset)return this.needsReset=!1,b.opacity="",b.pointerEvents=Ex(u.pointerEvents)||"",b.transform=x?x(this.latestValues,""):"none",b;const C=this.getLead();if(!this.projectionDelta||!this.layout||!C.target){const M={};return this.options.layoutId&&(M.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,M.pointerEvents=Ex(u.pointerEvents)||""),this.hasProjected&&!_f(this.latestValues)&&(M.transform=x?x({},""):"none",this.hasProjected=!1),M}const _=C.animationValues||C.latestValues;this.applyTransformsToTarget(),b.transform=UL(this.projectionDeltaWithTransform,this.treeScale,_),x&&(b.transform=x(_,b.transform));const{x:R,y:A}=this.projectionDelta;b.transformOrigin=`${R.origin*100}% ${A.origin*100}% 0`,C.animationValues?b.opacity=C===this?(v=(m=_.opacity)!==null&&m!==void 0?m:this.latestValues.opacity)!==null&&v!==void 0?v:1:this.preserveOpacity?this.latestValues.opacity:_.opacityExit:b.opacity=C===this?_.opacity!==void 0?_.opacity:"":_.opacityExit!==void 0?_.opacityExit:0;for(const M in qx){if(_[M]===void 0)continue;const{correct:j,applyTo:I}=qx[M],z=j(_[M],C);if(I){const B=I.length;for(let $=0;$<B;$++)b[I[$]]=z}else b[M]=z}return this.options.layoutId&&(b.pointerEvents=C===this?Ex(u.pointerEvents)||"":"none"),b}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(u=>{var h;return(h=u.currentAnimation)===null||h===void 0?void 0:h.stop()}),this.root.nodes.forEach(VL),this.root.sharedNodes.clear()}}}function NK(e){e.updateLayout()}function RK(e){var t,r,i;const s=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&s&&e.hasListeners("didUpdate")){const{actual:c,measured:u}=e.layout,{animationType:h}=e.options;h==="size"?ru(C=>{const _=s.isShared?s.measured[C]:s.layout[C],R=Ko(_);_.min=c[C].min,_.max=_.min+R}):gz(h,s.layout,c)&&ru(C=>{const _=s.isShared?s.measured[C]:s.layout[C],R=Ko(c[C]);_.max=_.min+R});const m=jy();By(m,c,s.layout);const v=jy();s.isShared?By(v,e.applyTransform(u,!0),s.measured):By(v,c,s.layout);const b=!hz(m);let 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XL={exit:{duration:.15,ease:Np.easeInOut},enter:{type:"spring",damping:25,stiffness:180}},aX={exit:({direction:e,transition:t,transitionEnd:r,delay:i})=>{const{exit:s}=oA({direction:e});return{...s,transition:t?.exit??El.exit(XL.exit,i),transitionEnd:r?.exit}},enter:({direction:e,transitionEnd:t,transition:r,delay:i})=>{const{enter:s}=oA({direction:e});return{...s,transition:r?.enter??El.enter(XL.enter,i),transitionEnd:t?.enter}}},wz=D.exports.forwardRef(function(t,r){const{direction:i="right",style:s,unmountOnExit:c,in:u,className:h,transition:m,transitionEnd:v,delay:b,...x}=t,C=oA({direction:i}),_=Object.assign({position:"fixed"},C.position,s),R=c?u&&c:!0,A=u||c?"enter":"exit",M={transitionEnd:v,transition:m,direction:i,delay:b};return k(gc,{custom:M,children:R&&Ue.createElement(Ol.div,{...x,ref:r,initial:"exit",className:kb("chakra-slide",h),animate:A,exit:"exit",custom:M,variants:aX,style:_})},void 0,!1,{fileName:Ab,lineNumber:366,columnNumber:26},this)});wz.displayName="Slide";var iX={initial:({offsetX:e,offsetY:t,transition:r,transitionEnd:i,delay:s})=>({opacity:0,x:e,y:t,transition:r?.exit??El.exit(Op.exit,s),transitionEnd:i?.exit}),enter:({transition:e,transitionEnd:t,delay:r})=>({opacity:1,x:0,y:0,transition:e?.enter??El.enter(Op.enter,r),transitionEnd:t?.enter}),exit:({offsetY:e,offsetX:t,transition:r,transitionEnd:i,reverse:s,delay:c})=>{const u={x:t,y:e};return{opacity:0,transition:r?.exit??El.exit(Op.exit,c),...s?{...u,transitionEnd:i?.exit}:{transitionEnd:{...u,...i?.exit}}}}},sA={initial:"initial",animate:"enter",exit:"exit",variants:iX},oX=D.exports.forwardRef(function(t,r){const{unmountOnExit:i,in:s,reverse:c=!0,className:u,offsetX:h=0,offsetY:m=8,transition:v,transitionEnd:b,delay:x,...C}=t,_=i?s&&i:!0,R=s||i?"enter":"exit",A={offsetX:h,offsetY:m,reverse:c,transition:v,transitionEnd:b,delay:x};return k(gc,{custom:A,children:_&&Ue.createElement(Ol.div,{ref:r,className:kb("chakra-offset-slide",u),custom:A,...sA,animate:R,...C})},void 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- * react.production.min.js
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Ye.concat(Tl(st)===nC?qQ(t,{placement:st,boundary:b,rootBoundary:x,padding:v,flipVariations:R,allowedAutoPlacements:A}):st)},[]),$=t.rects.reference,K=t.rects.popper,X=new Map,de=!0,ve=B[0],se=0;se<B.length;se++){var be=B[se],Xe=Tl(be),ie=Zm(be)===qm,ce=[go,Ls].indexOf(Xe)>=0,Re=ce?"width":"height",Ce=cb(t,{placement:be,boundary:b,rootBoundary:x,altBoundary:C,padding:v}),oe=ce?ie?Fs:yo:ie?Ls:go;$[Re]>K[Re]&&(oe=Rx(oe));var Se=Rx(oe),Te=[];if(c&&Te.push(Ce[Xe]<=0),h&&Te.push(Ce[oe]<=0,Ce[Se]<=0),Te.every(function(Ye){return Ye})){ve=be,de=!1;break}X.set(be,Te)}if(de)for(var pe=R?3:1,we=function(st){var mt=B.find(function(Gt){var Qe=X.get(Gt);if(Qe)return Qe.slice(0,st).every(function(vt){return vt})});if(mt)return ve=mt,"break"},Ie=pe;Ie>0;Ie--){var Le=we(Ie);if(Le==="break")break}t.placement!==ve&&(t.modifiersData[i]._skip=!0,t.placement=ve,t.reset=!0)}}const ZQ={name:"flip",enabled:!0,phase:"main",fn:XQ,requiresIfExists:["offset"],data:{_skip:!1}};function v5(e,t,r){return r===void 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ie,ce=B==="y"?go:yo,Re=B==="y"?Ls:Fs,Ce=B==="y"?"height":"width",oe=K[B],Se=oe+M[ce],Te=oe-M[Re],pe=_?-de[Ce]/2:0,we=I===qm?X[Ce]:de[Ce],Ie=I===qm?-de[Ce]:-X[Ce],Le=t.elements.arrow,Ye=_&&Le?lk(Le):{width:0,height:0},st=t.modifiersData["arrow#persistent"]?t.modifiersData["arrow#persistent"].padding:oB(),mt=st[ce],Gt=st[Re],Qe=$y(0,X[Ce],Ye[Ce]),vt=z?X[Ce]/2-pe-Qe-mt-se.mainAxis:we-Qe-mt-se.mainAxis,Et=z?-X[Ce]/2+pe+Qe+Gt+se.mainAxis:Ie+Qe+Gt+se.mainAxis,zt=t.elements.arrow&&Mb(t.elements.arrow),We=zt?B==="y"?zt.clientTop||0:zt.clientLeft||0:0,Yt=(ie=be?.[B])!=null?ie:0,ye=oe+vt-Yt-We,Mt=oe+Et-Yt,Kt=$y(_?lw(Se,ye):Se,oe,_?kp(Te,Mt):Te);K[B]=Kt,Xe[B]=Kt-oe}if(h){var St,ar=B==="x"?go:yo,ir=B==="x"?Ls:Fs,Bt=K[$],fn=$==="y"?"height":"width",An=Bt+M[ar],hn=Bt-M[ir],Ve=[go,yo].indexOf(j)!==-1,Ze=(St=be?.[$])!=null?St:0,Jt=Ve?An:Bt-X[fn]-de[fn]-Ze+se.altAxis,Tt=Ve?Bt+X[fn]+de[fn]-Ze-se.altAxis:hn,ke=_&&Ve?AQ(Jt,Bt,Tt):$y(_?Jt:An,Bt,_?Tt:hn);K[$]=ke,Xe[$]=ke-Bt}t.modifiersData[i]=Xe}}const sJ={name:"preventOverflow",enabled:!0,phase:"main",fn:oJ,requiresIfExists:["offset"]};function lJ(e){return{scrollLeft:e.scrollLeft,scrollTop:e.scrollTop}}function uJ(e){return e===zs(e)||!qo(e)?ck(e):lJ(e)}function cJ(e){var t=e.getBoundingClientRect(),r=Km(t.width)/e.offsetWidth||1,i=Km(t.height)/e.offsetHeight||1;return r!==1||i!==1}function fJ(e,t,r){r===void 0&&(r=!1);var i=qo(t),s=qo(t)&&cJ(t),c=Gf(t),u=Xm(e,s,r),h={scrollLeft:0,scrollTop:0},m={x:0,y:0};return(i||!i&&!r)&&((vu(t)!=="body"||dk(c))&&(h=uJ(t)),qo(t)?(m=Xm(t,!0),m.x+=t.clientLeft,m.y+=t.clientTop):c&&(m.x=fk(c))),{x:u.left+h.scrollLeft-m.x,y:u.top+h.scrollTop-m.y,width:u.width,height:u.height}}function dJ(e){var t=new Map,r=new Set,i=[];e.forEach(function(c){t.set(c.name,c)});function s(c){r.add(c.name);var u=[].concat(c.requires||[],c.requiresIfExists||[]);u.forEach(function(h){if(!r.has(h)){var m=t.get(h);m&&s(m)}}),i.push(c)}return e.forEach(function(c){r.has(c.name)||s(c)}),i}function pJ(e){var t=dJ(e);return gA.reduce(function(r,i){return r.concat(t.filter(function(s){return s.phase===i}))},[])}function hJ(e){var t;return function(){return t||(t=new Promise(function(r){Promise.resolve().then(function(){t=void 0,r(e())})})),t}}function bf(e){for(var t=arguments.length,r=new Array(t>1?t-1:0),i=1;i<t;i++)r[i-1]=arguments[i];return[].concat(r).reduce(function(s,c){return s.replace(/%s/,c)},e)}var hp='Popper: modifier "%s" provided an invalid %s property, expected %s but got %s',mJ='Popper: modifier "%s" requires "%s", but "%s" modifier is not available',y5=["name","enabled","phase","fn","effect","requires","options"];function vJ(e){e.forEach(function(t){[].concat(Object.keys(t),y5).filter(function(r,i,s){return s.indexOf(r)===i}).forEach(function(r){switch(r){case"name":typeof t.name!="string"&&console.error(bf(hp,String(t.name),'"name"','"string"','"'+String(t.name)+'"'));break;case"enabled":typeof 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Ak(e){const{focusBorderColor:t,errorBorderColor:r}=e;return{focusBorderColor:t||ze("blue.500","blue.300")(e),errorBorderColor:r||ze("red.500","red.300")(e)}}var Die=cc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=Ak(e);return{field:{border:"1px solid",borderColor:"inherit",bg:"inherit",_hover:{borderColor:ze("gray.300","whiteAlpha.400")(e)},_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Oa(t,i),boxShadow:`0 0 0 1px ${Oa(t,i)}`},_focusVisible:{zIndex:1,borderColor:Oa(t,r),boxShadow:`0 0 0 1px ${Oa(t,r)}`}},addon:{border:"1px solid",borderColor:ze("inherit","whiteAlpha.50")(e),bg:ze("gray.100","whiteAlpha.300")(e)}}}),Pie=cc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=Ak(e);return{field:{border:"2px solid",borderColor:"transparent",bg:ze("gray.100","whiteAlpha.50")(e),_hover:{bg:ze("gray.200","whiteAlpha.100")(e)},_readOnly:{boxShadow:"none 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solid",borderColor:"inherit",borderRadius:"0",px:"0",bg:"transparent"}}}),Iie=cc({field:{bg:"transparent",px:"0",height:"auto"},addon:{bg:"transparent",px:"0",height:"auto"}}),Lie={outline:Die,filled:Pie,flushed:Mie,unstyled:Iie},Jn=Oie({baseStyle:Aie,sizes:kie,variants:Lie,defaultProps:{size:"md",variant:"outline"}}),Fie=e=>({bg:ze("gray.100","whiteAlpha")(e),borderRadius:"md",borderWidth:"1px",borderBottomWidth:"3px",fontSize:"0.8em",fontWeight:"bold",lineHeight:"normal",px:"0.4em",whiteSpace:"nowrap"}),zie={baseStyle:Fie},Bie={transitionProperty:"common",transitionDuration:"fast",transitionTimingFunction:"ease-out",cursor:"pointer",textDecoration:"none",outline:"none",color:"inherit",_hover:{textDecoration:"underline"},_focusVisible:{boxShadow:"outline"}},Uie={baseStyle:Bie},{defineMultiStyleConfig:jie,definePartsStyle:$ie}=Ar(Vne.keys),Vie={marginEnd:"2",display:"inline",verticalAlign:"text-bottom"},Hie=$ie({icon:Vie}),Wie=jie({baseStyle:Hie}),{defineMultiStyleConfig:Gie,definePartsStyle:Yie}=Ar(Hne.keys),qie=e=>({bg:ze("#fff","gray.700")(e),boxShadow:ze("sm","dark-lg")(e),color:"inherit",minW:"3xs",py:"2",zIndex:1,borderRadius:"md",borderWidth:"1px"}),Kie=e=>({py:"1.5",px:"3",transitionProperty:"background",transitionDuration:"ultra-fast",transitionTimingFunction:"ease-in",_focus:{bg:ze("gray.100","whiteAlpha.100")(e)},_active:{bg:ze("gray.200","whiteAlpha.200")(e)},_expanded:{bg:ze("gray.100","whiteAlpha.100")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),Xie={mx:4,my:2,fontWeight:"semibold",fontSize:"sm"},Zie={opacity:.6},Qie={border:0,borderBottom:"1px solid",borderColor:"inherit",my:"2",opacity:.6},Jie={transitionProperty:"common",transitionDuration:"normal"},eoe=Yie(e=>({button:Jie,list:Kr(qie,e),item:Kr(Kie,e),groupTitle:Xie,command:Zie,divider:Qie})),toe=Gie({baseStyle:eoe}),{defineMultiStyleConfig:noe,definePartsStyle:DA}=Ar(Wne.keys),roe={bg:"blackAlpha.600",zIndex:"modal"},aoe=e=>{const{isCentered:t,scrollBehavior:r}=e;return{display:"flex",zIndex:"modal",justifyContent:"center",alignItems:t?"center":"flex-start",overflow:r==="inside"?"hidden":"auto"}},ioe=e=>{const{scrollBehavior:t}=e;return{borderRadius:"md",bg:ze("white","gray.700")(e),color:"inherit",my:"16",zIndex:"modal",maxH:t==="inside"?"calc(100% - 7.5rem)":void 0,boxShadow:ze("lg","dark-lg")(e)}},ooe={px:"6",py:"4",fontSize:"xl",fontWeight:"semibold"},soe={position:"absolute",top:"2",insetEnd:"3"},loe=e=>{const{scrollBehavior:t}=e;return{px:"6",py:"2",flex:"1",overflow:t==="inside"?"auto":void 0}},uoe={px:"6",py:"4"},coe=DA(e=>({overlay:roe,dialogContainer:Kr(aoe,e),dialog:Kr(ioe,e),header:ooe,closeButton:soe,body:Kr(loe,e),footer:uoe}));function yl(e){return DA(e==="full"?{dialog:{maxW:"100vw",minH:"$100vh",my:"0",borderRadius:"0"}}:{dialog:{maxW:e}})}var foe={xs:yl("xs"),sm:yl("sm"),md:yl("md"),lg:yl("lg"),xl:yl("xl"),"2xl":yl("2xl"),"3xl":yl("3xl"),"4xl":yl("4xl"),"5xl":yl("5xl"),"6xl":yl("6xl"),full:yl("full")},doe=noe({baseStyle:coe,sizes:foe,defaultProps:{size:"md"}}),poe={letterSpacings:{tighter:"-0.05em",tight:"-0.025em",normal:"0",wide:"0.025em",wider:"0.05em",widest:"0.1em"},lineHeights:{normal:"normal",none:1,shorter:1.25,short:1.375,base:1.5,tall:1.625,taller:"2",3:".75rem",4:"1rem",5:"1.25rem",6:"1.5rem",7:"1.75rem",8:"2rem",9:"2.25rem",10:"2.5rem"},fontWeights:{hairline:100,thin:200,light:300,normal:400,medium:500,semibold:600,bold:700,extrabold:800,black:900},fonts:{heading:'-apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple 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solid",borderStartColor:ze("inherit","whiteAlpha.300")(e),color:ze("inherit","whiteAlpha.800")(e),_active:{bg:ze("gray.200","whiteAlpha.300")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),Soe=E6(e=>({root:voe,field:goe,stepperGroup:yoe,stepper:Kr(boe,e)??{}}));function ux(e){var t,r;const i=(t=Jn.sizes)==null?void 0:t[e],s={lg:"md",md:"md",sm:"sm",xs:"sm"},c=((r=i.field)==null?void 0:r.fontSize)??"md",u=_6.fontSizes[c];return E6({field:{...i.field,paddingInlineEnd:T6.reference,verticalAlign:"top"},stepper:{fontSize:uc(u).multiply(.75).toString(),_first:{borderTopEndRadius:s[e]},_last:{borderBottomEndRadius:s[e],mt:"-1px",borderTopWidth:1}}})}var xoe={xs:ux("xs"),sm:ux("sm"),md:ux("md"),lg:ux("lg")},woe=hoe({baseStyle:Soe,sizes:xoe,variants:Jn.variants,defaultProps:Jn.defaultProps}),X5,Coe={...(X5=Jn.baseStyle)==null?void 0:X5.field,textAlign:"center"},_oe={lg:{fontSize:"lg",w:12,h:12,borderRadius:"md"},md:{fontSize:"md",w:10,h:10,borderRadius:"md"},sm:{fontSize:"sm",w:8,h:8,borderRadius:"sm"},xs:{fontSize:"xs",w:6,h:6,borderRadius:"sm"}},Z5,Eoe={outline:e=>{var t,r;return((r=Kr((t=Jn.variants)==null?void 0:t.outline,e))==null?void 0:r.field)??{}},flushed:e=>{var t,r;return((r=Kr((t=Jn.variants)==null?void 0:t.flushed,e))==null?void 0:r.field)??{}},filled:e=>{var t,r;return((r=Kr((t=Jn.variants)==null?void 0:t.filled,e))==null?void 0:r.field)??{}},unstyled:((Z5=Jn.variants)==null?void 0:Z5.unstyled.field)??{}},Toe={baseStyle:Coe,sizes:_oe,variants:Eoe,defaultProps:Jn.defaultProps},{defineMultiStyleConfig:Noe,definePartsStyle:Roe}=Ar(Yne.keys),fO=xo("popper-bg"),Ooe=xo("popper-arrow-bg"),Aoe=xo("popper-arrow-shadow-color"),koe={zIndex:10},Doe=e=>{const t=ze("white","gray.700")(e),r=ze("gray.200","whiteAlpha.300")(e);return{[fO.variable]:`colors.${t}`,bg:fO.reference,[Ooe.variable]:fO.reference,[Aoe.variable]:`colors.${r}`,width:"xs",border:"1px solid",borderColor:"inherit",borderRadius:"md",boxShadow:"sm",zIndex:"inherit",_focusVisible:{outline:0,boxShadow:"outline"}}},Poe={px:3,py:2,borderBottomWidth:"1px"},Moe={px:3,py:2},Ioe={px:3,py:2,borderTopWidth:"1px"},Loe={position:"absolute",borderRadius:"md",top:1,insetEnd:2,padding:2},Foe=Roe(e=>({popper:koe,content:Doe(e),header:Poe,body:Moe,footer:Ioe,closeButton:Loe})),zoe=Noe({baseStyle:Foe}),{defineMultiStyleConfig:Boe,definePartsStyle:ky}=Ar(qne.keys),Uoe=e=>{const{colorScheme:t,theme:r,isIndeterminate:i,hasStripe:s}=e,c=ze(W5(),W5("1rem","rgba(0,0,0,0.1)"))(e),u=ze(`${t}.500`,`${t}.200`)(e),h=`linear-gradient(
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-    ${Oa(r,u)} 50%,
-    transparent 100%
-  )`;return{...!i&&s&&c,...i?{bgImage:h}:{bgColor:u}}},joe={lineHeight:"1",fontSize:"0.25em",fontWeight:"bold",color:"white"},$oe=e=>({bg:ze("gray.100","whiteAlpha.300")(e)}),Voe=e=>({transitionProperty:"common",transitionDuration:"slow",...Uoe(e)}),Hoe=ky(e=>({label:joe,filledTrack:Voe(e),track:$oe(e)})),Woe={xs:ky({track:{h:"1"}}),sm:ky({track:{h:"2"}}),md:ky({track:{h:"3"}}),lg:ky({track:{h:"4"}})},Goe=Boe({sizes:Woe,baseStyle:Hoe,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:Yoe,definePartsStyle:Dx}=Ar(Kne.keys),qoe=e=>{var t;const r=(t=Kr(hw.baseStyle,e))==null?void 0:t.control;return{...r,borderRadius:"full",_checked:{...r?._checked,_before:{content:'""',display:"inline-block",pos:"relative",w:"50%",h:"50%",borderRadius:"50%",bg:"currentColor"}}}},Koe=Dx(e=>{var t,r,i,s;return{label:(r=(t=hw).baseStyle)==null?void 0:r.call(t,e).label,container:(s=(i=hw).baseStyle)==null?void 0:s.call(i,e).container,control:qoe(e)}}),Xoe={md:Dx({control:{w:"4",h:"4"},label:{fontSize:"md"}}),lg:Dx({control:{w:"5",h:"5"},label:{fontSize:"lg"}}),sm:Dx({control:{width:"3",height:"3"},label:{fontSize:"sm"}})},Zoe=Yoe({baseStyle:Koe,sizes:Xoe,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:Qoe,definePartsStyle:Joe}=Ar(Xne.keys),ese=e=>{var t;return{...(t=Jn.baseStyle)==null?void 0:t.field,bg:ze("white","gray.700")(e),appearance:"none",paddingBottom:"1px",lineHeight:"normal","> option, > optgroup":{bg:ze("white","gray.700")(e)}}},tse={width:"6",height:"100%",insetEnd:"2",position:"relative",color:"currentColor",fontSize:"xl",_disabled:{opacity:.5}},nse=Joe(e=>({field:ese(e),icon:tse})),cx={paddingInlineEnd:"8"},Q5,J5,e3,t3,n3,r3,a3,i3,rse={lg:{...(Q5=Jn.sizes)==null?void 0:Q5.lg,field:{...(J5=Jn.sizes)==null?void 0:J5.lg.field,...cx}},md:{...(e3=Jn.sizes)==null?void 0:e3.md,field:{...(t3=Jn.sizes)==null?void 0:t3.md.field,...cx}},sm:{...(n3=Jn.sizes)==null?void 0:n3.sm,field:{...(r3=Jn.sizes)==null?void 0:r3.sm.field,...cx}},xs:{...(a3=Jn.sizes)==null?void 0:a3.xs,field:{...(i3=Jn.sizes)==null?void 0:i3.sm.field,...cx},icon:{insetEnd:"1"}}},ase=Qoe({baseStyle:nse,sizes:rse,variants:Jn.variants,defaultProps:Jn.defaultProps}),ise=Wf("skeleton-start-color"),ose=Wf("skeleton-end-color"),sse=e=>{const t=ze("gray.100","gray.800")(e),r=ze("gray.400","gray.600")(e),{startColor:i=t,endColor:s=r,theme:c}=e,u=Oa(c,i),h=Oa(c,s);return{[ise.variable]:u,[ose.variable]:h,opacity:.7,borderRadius:"2px",borderColor:u,background:h}},lse={baseStyle:sse},use=e=>({borderRadius:"md",fontWeight:"semibold",_focusVisible:{boxShadow:"outline",padding:"4",position:"fixed",top:"6",insetStart:"6",bg:ze("white","gray.700")(e)}}),cse={baseStyle:use},{defineMultiStyleConfig:fse,definePartsStyle:sC}=Ar(Zne.keys),mb=Wf("slider-thumb-size"),vb=Wf("slider-track-size"),dse=e=>{const{orientation:t}=e;return{display:"inline-block",position:"relative",cursor:"pointer",_disabled:{opacity:.6,cursor:"default",pointerEvents:"none"},...Rk({orientation:t,vertical:{h:"100%"},horizontal:{w:"100%"}})}},pse=e=>({...Rk({orientation:e.orientation,horizontal:{h:vb.reference},vertical:{w:vb.reference}}),overflow:"hidden",borderRadius:"sm",bg:ze("gray.200","whiteAlpha.200")(e),_disabled:{bg:ze("gray.300","whiteAlpha.300")(e)}}),hse=e=>{const{orientation:t}=e;return{...Rk({orientation:t,vertical:{left:"50%",transform:"translateX(-50%)",_active:{transform:"translateX(-50%) scale(1.15)"}},horizontal:{top:"50%",transform:"translateY(-50%)",_active:{transform:"translateY(-50%) scale(1.15)"}}}),w:mb.reference,h:mb.reference,display:"flex",alignItems:"center",justifyContent:"center",position:"absolute",outline:0,zIndex:1,borderRadius:"full",bg:"white",boxShadow:"base",border:"1px 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Mfe={isConnected:!1,isProcessing:!1,currentStep:0,log:[],shouldShowLogViewer:!1,shouldDisplayInProgress:!1,isGFPGANAvailable:!0,isESRGANAvailable:!0,socketId:"",shouldConfirmOnDelete:!0,openAccordions:[0]},Ife=Mfe,uU=Bk({name:"system",initialState:Ife,reducers:{setShouldDisplayInProgress:(e,t)=>{e.shouldDisplayInProgress=t.payload},setIsProcessing:(e,t)=>{e.isProcessing=t.payload,t.payload===!1&&(e.currentStep=0)},setCurrentStep:(e,t)=>{e.currentStep=t.payload},addLogEntry:(e,t)=>{const r={timestamp:Afe(new Date,"isoDateTime"),message:t.payload};e.log.push(r)},setShouldShowLogViewer:(e,t)=>{e.shouldShowLogViewer=t.payload},setIsConnected:(e,t)=>{e.isConnected=t.payload},setSocketId:(e,t)=>{e.socketId=t.payload},setShouldConfirmOnDelete:(e,t)=>{e.shouldConfirmOnDelete=t.payload},setOpenAccordions:(e,t)=>{e.openAccordions=t.payload}}}),{setShouldDisplayInProgress:Lfe,setIsProcessing:wf,setCurrentStep:px,addLogEntry:qi,setShouldShowLogViewer:Ffe,setIsConnected:j3,setSocketId:vme,setShouldConfirmOnDelete:cU,setOpenAccordions:zfe}=uU.actions,Bfe=uU.reducer,gu=Object.create(null);gu.open="0";gu.close="1";gu.ping="2";gu.pong="3";gu.message="4";gu.upgrade="5";gu.noop="6";const Ix=Object.create(null);Object.keys(gu).forEach(e=>{Ix[gu[e]]=e});const Ufe={type:"error",data:"parser error"},jfe=typeof Blob=="function"||typeof Blob<"u"&&Object.prototype.toString.call(Blob)==="[object BlobConstructor]",$fe=typeof ArrayBuffer=="function",Vfe=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e&&e.buffer instanceof ArrayBuffer,fU=({type:e,data:t},r,i)=>jfe&&t instanceof Blob?r?i(t):$3(t,i):$fe&&(t instanceof ArrayBuffer||Vfe(t))?r?i(t):$3(new Blob([t]),i):i(gu[e]+(t||"")),$3=(e,t)=>{const r=new FileReader;return r.onload=function(){const i=r.result.split(",")[1];t("b"+i)},r.readAsDataURL(e)},V3="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",Py=typeof Uint8Array>"u"?[]:new Uint8Array(256);for(let e=0;e<V3.length;e++)Py[V3.charCodeAt(e)]=e;const Hfe=e=>{let t=e.length*.75,r=e.length,i,s=0,c,u,h,m;e[e.length-1]==="="&&(t--,e[e.length-2]==="="&&t--);const v=new ArrayBuffer(t),b=new Uint8Array(v);for(i=0;i<r;i+=4)c=Py[e.charCodeAt(i)],u=Py[e.charCodeAt(i+1)],h=Py[e.charCodeAt(i+2)],m=Py[e.charCodeAt(i+3)],b[s++]=c<<2|u>>4,b[s++]=(u&15)<<4|h>>2,b[s++]=(h&3)<<6|m&63;return v},Wfe=typeof ArrayBuffer=="function",dU=(e,t)=>{if(typeof e!="string")return{type:"message",data:pU(e,t)};const r=e.charAt(0);return r==="b"?{type:"message",data:Gfe(e.substring(1),t)}:Ix[r]?e.length>1?{type:Ix[r],data:e.substring(1)}:{type:Ix[r]}:Ufe},Gfe=(e,t)=>{if(Wfe){const r=Hfe(e);return pU(r,t)}else return{base64:!0,data:e}},pU=(e,t)=>{switch(t){case"blob":return e instanceof ArrayBuffer?new Blob([e]):e;case"arraybuffer":default:return e}},hU=String.fromCharCode(30),Yfe=(e,t)=>{const r=e.length,i=new Array(r);let s=0;e.forEach((c,u)=>{fU(c,!1,h=>{i[u]=h,++s===r&&t(i.join(hU))})})},qfe=(e,t)=>{const r=e.split(hU),i=[];for(let s=0;s<r.length;s++){const c=dU(r[s],t);if(i.push(c),c.type==="error")break}return i},mU=4;function la(e){if(e)return Kfe(e)}function Kfe(e){for(var t in la.prototype)e[t]=la.prototype[t];return e}la.prototype.on=la.prototype.addEventListener=function(e,t){return this._callbacks=this._callbacks||{},(this._callbacks["$"+e]=this._callbacks["$"+e]||[]).push(t),this};la.prototype.once=function(e,t){function r(){this.off(e,r),t.apply(this,arguments)}return r.fn=t,this.on(e,r),this};la.prototype.off=la.prototype.removeListener=la.prototype.removeAllListeners=la.prototype.removeEventListener=function(e,t){if(this._callbacks=this._callbacks||{},arguments.length==0)return this._callbacks={},this;var r=this._callbacks["$"+e];if(!r)return this;if(arguments.length==1)return delete this._callbacks["$"+e],this;for(var i,s=0;s<r.length;s++)if(i=r[s],i===t||i.fn===t){r.splice(s,1);break}return r.length===0&&delete this._callbacks["$"+e],this};la.prototype.emit=function(e){this._callbacks=this._callbacks||{};for(var t=new Array(arguments.length-1),r=this._callbacks["$"+e],i=1;i<arguments.length;i++)t[i-1]=arguments[i];if(r){r=r.slice(0);for(var i=0,s=r.length;i<s;++i)r[i].apply(this,t)}return this};la.prototype.emitReserved=la.prototype.emit;la.prototype.listeners=function(e){return this._callbacks=this._callbacks||{},this._callbacks["$"+e]||[]};la.prototype.hasListeners=function(e){return!!this.listeners(e).length};const If=(()=>typeof self<"u"?self:typeof window<"u"?window:Function("return this")())();function vU(e,...t){return t.reduce((r,i)=>(e.hasOwnProperty(i)&&(r[i]=e[i]),r),{})}const Xfe=setTimeout,Zfe=clearTimeout;function uC(e,t){t.useNativeTimers?(e.setTimeoutFn=Xfe.bind(If),e.clearTimeoutFn=Zfe.bind(If)):(e.setTimeoutFn=setTimeout.bind(If),e.clearTimeoutFn=clearTimeout.bind(If))}const Qfe=1.33;function Jfe(e){return typeof e=="string"?ede(e):Math.ceil((e.byteLength||e.size)*Qfe)}function ede(e){let t=0,r=0;for(let i=0,s=e.length;i<s;i++)t=e.charCodeAt(i),t<128?r+=1:t<2048?r+=2:t<55296||t>=57344?r+=3:(i++,r+=4);return r}class tde extends Error{constructor(t,r,i){super(t),this.description=r,this.context=i,this.type="TransportError"}}class gU extends la{constructor(t){super(),this.writable=!1,uC(this,t),this.opts=t,this.query=t.query,this.readyState="",this.socket=t.socket}onError(t,r,i){return super.emitReserved("error",new tde(t,r,i)),this}open(){return(this.readyState==="closed"||this.readyState==="")&&(this.readyState="opening",this.doOpen()),this}close(){return(this.readyState==="opening"||this.readyState==="open")&&(this.doClose(),this.onClose()),this}send(t){this.readyState==="open"&&this.write(t)}onOpen(){this.readyState="open",this.writable=!0,super.emitReserved("open")}onData(t){const r=dU(t,this.socket.binaryType);this.onPacket(r)}onPacket(t){super.emitReserved("packet",t)}onClose(t){this.readyState="closed",super.emitReserved("close",t)}}const yU="0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz-_".split(""),YA=64,nde={};let H3=0,hx=0,W3;function G3(e){let t="";do t=yU[e%YA]+t,e=Math.floor(e/YA);while(e>0);return t}function bU(){const e=G3(+new Date);return e!==W3?(H3=0,W3=e):e+"."+G3(H3++)}for(;hx<YA;hx++)nde[yU[hx]]=hx;function SU(e){let t="";for(let r in e)e.hasOwnProperty(r)&&(t.length&&(t+="&"),t+=encodeURIComponent(r)+"="+encodeURIComponent(e[r]));return t}function rde(e){let t={},r=e.split("&");for(let i=0,s=r.length;i<s;i++){let c=r[i].split("=");t[decodeURIComponent(c[0])]=decodeURIComponent(c[1])}return t}let xU=!1;try{xU=typeof XMLHttpRequest<"u"&&"withCredentials"in new XMLHttpRequest}catch{}const ade=xU;function wU(e){const t=e.xdomain;try{if(typeof XMLHttpRequest<"u"&&(!t||ade))return new XMLHttpRequest}catch{}if(!t)try{return new If[["Active"].concat("Object").join("X")]("Microsoft.XMLHTTP")}catch{}}function ide(){}const ode=function(){return new wU({xdomain:!1}).responseType!=null}();class sde extends gU{constructor(t){if(super(t),this.polling=!1,typeof location<"u"){const i=location.protocol==="https:";let s=location.port;s||(s=i?"443":"80"),this.xd=typeof location<"u"&&t.hostname!==location.hostname||s!==t.port,this.xs=t.secure!==i}const r=t&&t.forceBase64;this.supportsBinary=ode&&!r}get name(){return"polling"}doOpen(){this.poll()}pause(t){this.readyState="pausing";const r=()=>{this.readyState="paused",t()};if(this.polling||!this.writable){let i=0;this.polling&&(i++,this.once("pollComplete",function(){--i||r()})),this.writable||(i++,this.once("drain",function(){--i||r()}))}else r()}poll(){this.polling=!0,this.doPoll(),this.emitReserved("poll")}onData(t){const r=i=>{if(this.readyState==="opening"&&i.type==="open"&&this.onOpen(),i.type==="close")return this.onClose({description:"transport closed by the server"}),!1;this.onPacket(i)};qfe(t,this.socket.binaryType).forEach(r),this.readyState!=="closed"&&(this.polling=!1,this.emitReserved("pollComplete"),this.readyState==="open"&&this.poll())}doClose(){const t=()=>{this.write([{type:"close"}])};this.readyState==="open"?t():this.once("open",t)}write(t){this.writable=!1,Yfe(t,r=>{this.doWrite(r,()=>{this.writable=!0,this.emitReserved("drain")})})}uri(){let t=this.query||{};const r=this.opts.secure?"https":"http";let i="";this.opts.timestampRequests!==!1&&(t[this.opts.timestampParam]=bU()),!this.supportsBinary&&!t.sid&&(t.b64=1),this.opts.port&&(r==="https"&&Number(this.opts.port)!==443||r==="http"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port);const s=SU(t),c=this.opts.hostname.indexOf(":")!==-1;return r+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(s.length?"?"+s:"")}request(t={}){return Object.assign(t,{xd:this.xd,xs:this.xs},this.opts),new hu(this.uri(),t)}doWrite(t,r){const i=this.request({method:"POST",data:t});i.on("success",r),i.on("error",(s,c)=>{this.onError("xhr post error",s,c)})}doPoll(){const t=this.request();t.on("data",this.onData.bind(this)),t.on("error",(r,i)=>{this.onError("xhr poll error",r,i)}),this.pollXhr=t}}class hu extends la{constructor(t,r){super(),uC(this,r),this.opts=r,this.method=r.method||"GET",this.uri=t,this.async=r.async!==!1,this.data=r.data!==void 0?r.data:null,this.create()}create(){const t=vU(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");t.xdomain=!!this.opts.xd,t.xscheme=!!this.opts.xs;const r=this.xhr=new wU(t);try{r.open(this.method,this.uri,this.async);try{if(this.opts.extraHeaders){r.setDisableHeaderCheck&&r.setDisableHeaderCheck(!0);for(let i in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=hu.requestsCount++,hu.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=ide,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete hu.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}}hu.requestsCount=0;hu.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",Y3);else if(typeof addEventListener=="function"){const e="onpagehide"in If?"pagehide":"unload";addEventListener(e,Y3,!1)}}function Y3(){for(let e in hu.requests)hu.requests.hasOwnProperty(e)&&hu.requests[e].abort()}const lde=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,r)=>r(t,0))(),mx=If.WebSocket||If.MozWebSocket,q3=!0,ude="arraybuffer",K3=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class cde extends gU{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),r=this.opts.protocols,i=K3?{}:vU(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(i.headers=this.opts.extraHeaders);try{this.ws=q3&&!K3?r?new mx(t,r):new mx(t):new mx(t,r,i)}catch(s){return this.emitReserved("error",s)}this.ws.binaryType=this.socket.binaryType||ude,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let r=0;r<t.length;r++){const i=t[r],s=r===t.length-1;fU(i,this.supportsBinary,c=>{const u={};try{q3&&this.ws.send(c)}catch{}s&&lde(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){let t=this.query||{};const r=this.opts.secure?"wss":"ws";let i="";this.opts.port&&(r==="wss"&&Number(this.opts.port)!==443||r==="ws"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port),this.opts.timestampRequests&&(t[this.opts.timestampParam]=bU()),this.supportsBinary||(t.b64=1);const s=SU(t),c=this.opts.hostname.indexOf(":")!==-1;return r+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(s.length?"?"+s:"")}check(){return!!mx}}const fde={websocket:cde,polling:sde},dde=/^(?:(?![^:@]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@]*)(?::([^:@]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,pde=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function qA(e){const t=e,r=e.indexOf("["),i=e.indexOf("]");r!=-1&&i!=-1&&(e=e.substring(0,r)+e.substring(r,i).replace(/:/g,";")+e.substring(i,e.length));let s=dde.exec(e||""),c={},u=14;for(;u--;)c[pde[u]]=s[u]||"";return r!=-1&&i!=-1&&(c.source=t,c.host=c.host.substring(1,c.host.length-1).replace(/;/g,":"),c.authority=c.authority.replace("[","").replace("]","").replace(/;/g,":"),c.ipv6uri=!0),c.pathNames=hde(c,c.path),c.queryKey=mde(c,c.query),c}function hde(e,t){const r=/\/{2,9}/g,i=t.replace(r,"/").split("/");return(t.substr(0,1)=="/"||t.length===0)&&i.splice(0,1),t.substr(t.length-1,1)=="/"&&i.splice(i.length-1,1),i}function mde(e,t){const r={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(i,s,c){s&&(r[s]=c)}),r}class Af extends la{constructor(t,r={}){super(),t&&typeof t=="object"&&(r=t,t=null),t?(t=qA(t),r.hostname=t.host,r.secure=t.protocol==="https"||t.protocol==="wss",r.port=t.port,t.query&&(r.query=t.query)):r.host&&(r.hostname=qA(r.host).host),uC(this,r),this.secure=r.secure!=null?r.secure:typeof location<"u"&&location.protocol==="https:",r.hostname&&!r.port&&(r.port=this.secure?"443":"80"),this.hostname=r.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=r.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=r.transports||["polling","websocket"],this.readyState="",this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!0},r),this.opts.path=this.opts.path.replace(/\/$/,"")+"/",typeof this.opts.query=="string"&&(this.opts.query=rde(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&addEventListener("beforeunload",()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},!1),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const r=Object.assign({},this.opts.query);r.EIO=mU,r.transport=t,this.id&&(r.sid=this.id);const i=Object.assign({},this.opts.transportOptions[t],this.opts,{query:r,socket:this,hostname:this.hostname,secure:this.secure,port:this.port});return new fde[t](i)}open(){let t;if(this.opts.rememberUpgrade&&Af.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",r=>this.onClose("transport close",r))}probe(t){let r=this.createTransport(t),i=!1;Af.priorWebsocketSuccess=!1;const s=()=>{i||(r.send([{type:"ping",data:"probe"}]),r.once("packet",x=>{if(!i)if(x.type==="pong"&&x.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",r),!r)return;Af.priorWebsocketSuccess=r.name==="websocket",this.transport.pause(()=>{i||this.readyState!=="closed"&&(b(),this.setTransport(r),r.send([{type:"upgrade"}]),this.emitReserved("upgrade",r),r=null,this.upgrading=!1,this.flush())})}else{const C=new Error("probe error");C.transport=r.name,this.emitReserved("upgradeError",C)}}))};function c(){i||(i=!0,b(),r.close(),r=null)}const u=x=>{const C=new Error("probe error: "+x);C.transport=r.name,c(),this.emitReserved("upgradeError",C)};function h(){u("transport closed")}function m(){u("socket closed")}function v(x){r&&x.name!==r.name&&c()}const b=()=>{r.removeListener("open",s),r.removeListener("error",u),r.removeListener("close",h),this.off("close",m),this.off("upgrading",v)};r.once("open",s),r.once("error",u),r.once("close",h),this.once("close",m),this.once("upgrading",v),r.open()}onOpen(){if(this.readyState="open",Af.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade&&this.transport.pause){let t=0;const r=this.upgrades.length;for(;t<r;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const r=new Error("server error");r.code=t.data,this.onError(r);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let r=1;for(let i=0;i<this.writeBuffer.length;i++){const s=this.writeBuffer[i].data;if(s&&(r+=Jfe(s)),i>0&&r>this.maxPayload)return this.writeBuffer.slice(0,i);r+=2}return this.writeBuffer}write(t,r,i){return this.sendPacket("message",t,r,i),this}send(t,r,i){return this.sendPacket("message",t,r,i),this}sendPacket(t,r,i,s){if(typeof r=="function"&&(s=r,r=void 0),typeof i=="function"&&(s=i,i=null),this.readyState==="closing"||this.readyState==="closed")return;i=i||{},i.compress=i.compress!==!1;const c={type:t,data:r,options:i};this.emitReserved("packetCreate",c),this.writeBuffer.push(c),s&&this.once("flush",s),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},r=()=>{this.off("upgrade",r),this.off("upgradeError",r),t()},i=()=>{this.once("upgrade",r),this.once("upgradeError",r)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?i():t()}):this.upgrading?i():t()),this}onError(t){Af.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,r){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&removeEventListener("offline",this.offlineEventListener,!1),this.readyState="closed",this.id=null,this.emitReserved("close",t,r),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const r=[];let i=0;const s=t.length;for(;i<s;i++)~this.transports.indexOf(t[i])&&r.push(t[i]);return r}}Af.protocol=mU;function vde(e,t="",r){let i=e;r=r||typeof location<"u"&&location,e==null&&(e=r.protocol+"//"+r.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=r.protocol+e:e=r.host+e),/^(https?|wss?):\/\//.test(e)||(typeof r<"u"?e=r.protocol+"//"+e:e="https://"+e),i=qA(e)),i.port||(/^(http|ws)$/.test(i.protocol)?i.port="80":/^(http|ws)s$/.test(i.protocol)&&(i.port="443")),i.path=i.path||"/";const c=i.host.indexOf(":")!==-1?"["+i.host+"]":i.host;return i.id=i.protocol+"://"+c+":"+i.port+t,i.href=i.protocol+"://"+c+(r&&r.port===i.port?"":":"+i.port),i}const gde=typeof ArrayBuffer=="function",yde=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,CU=Object.prototype.toString,bde=typeof Blob=="function"||typeof Blob<"u"&&CU.call(Blob)==="[object BlobConstructor]",Sde=typeof File=="function"||typeof File<"u"&&CU.call(File)==="[object FileConstructor]";function Xk(e){return gde&&(e instanceof ArrayBuffer||yde(e))||bde&&e instanceof Blob||Sde&&e instanceof File}function Lx(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let r=0,i=e.length;r<i;r++)if(Lx(e[r]))return!0;return!1}if(Xk(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return Lx(e.toJSON(),!0);for(const r in e)if(Object.prototype.hasOwnProperty.call(e,r)&&Lx(e[r]))return!0;return!1}function xde(e){const t=[],r=e.data,i=e;return i.data=KA(r,t),i.attachments=t.length,{packet:i,buffers:t}}function KA(e,t){if(!e)return e;if(Xk(e)){const r={_placeholder:!0,num:t.length};return t.push(e),r}else if(Array.isArray(e)){const r=new Array(e.length);for(let i=0;i<e.length;i++)r[i]=KA(e[i],t);return r}else if(typeof e=="object"&&!(e instanceof Date)){const r={};for(const i in e)Object.prototype.hasOwnProperty.call(e,i)&&(r[i]=KA(e[i],t));return r}return e}function wde(e,t){return e.data=XA(e.data,t),e.attachments=void 0,e}function XA(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let r=0;r<e.length;r++)e[r]=XA(e[r],t);else if(typeof e=="object")for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(e[r]=XA(e[r],t));return e}const Cde=5;var Vn;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Vn||(Vn={}));class _de{constructor(t){this.replacer=t}encode(t){return(t.type===Vn.EVENT||t.type===Vn.ACK)&&Lx(t)?(t.type=t.type===Vn.EVENT?Vn.BINARY_EVENT:Vn.BINARY_ACK,this.encodeAsBinary(t)):[this.encodeAsString(t)]}encodeAsString(t){let r=""+t.type;return(t.type===Vn.BINARY_EVENT||t.type===Vn.BINARY_ACK)&&(r+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(r+=t.nsp+","),t.id!=null&&(r+=t.id),t.data!=null&&(r+=JSON.stringify(t.data,this.replacer)),r}encodeAsBinary(t){const r=xde(t),i=this.encodeAsString(r.packet),s=r.buffers;return s.unshift(i),s}}class Zk extends la{constructor(t){super(),this.reviver=t}add(t){let r;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");r=this.decodeString(t),r.type===Vn.BINARY_EVENT||r.type===Vn.BINARY_ACK?(this.reconstructor=new Ede(r),r.attachments===0&&super.emitReserved("decoded",r)):super.emitReserved("decoded",r)}else if(Xk(t)||t.base64)if(this.reconstructor)r=this.reconstructor.takeBinaryData(t),r&&(this.reconstructor=null,super.emitReserved("decoded",r));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let r=0;const i={type:Number(t.charAt(0))};if(Vn[i.type]===void 0)throw new Error("unknown packet type "+i.type);if(i.type===Vn.BINARY_EVENT||i.type===Vn.BINARY_ACK){const c=r+1;for(;t.charAt(++r)!=="-"&&r!=t.length;);const u=t.substring(c,r);if(u!=Number(u)||t.charAt(r)!=="-")throw new Error("Illegal attachments");i.attachments=Number(u)}if(t.charAt(r+1)==="/"){const c=r+1;for(;++r&&!(t.charAt(r)===","||r===t.length););i.nsp=t.substring(c,r)}else i.nsp="/";const s=t.charAt(r+1);if(s!==""&&Number(s)==s){const c=r+1;for(;++r;){const u=t.charAt(r);if(u==null||Number(u)!=u){--r;break}if(r===t.length)break}i.id=Number(t.substring(c,r+1))}if(t.charAt(++r)){const c=this.tryParse(t.substr(r));if(Zk.isPayloadValid(i.type,c))i.data=c;else throw new Error("invalid payload")}return i}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,r){switch(t){case Vn.CONNECT:return typeof r=="object";case Vn.DISCONNECT:return r===void 0;case Vn.CONNECT_ERROR:return typeof r=="string"||typeof r=="object";case Vn.EVENT:case Vn.BINARY_EVENT:return Array.isArray(r)&&r.length>0;case Vn.ACK:case Vn.BINARY_ACK:return Array.isArray(r)}}destroy(){this.reconstructor&&this.reconstructor.finishedReconstruction()}}class Ede{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const r=wde(this.reconPack,this.buffers);return this.finishedReconstruction(),r}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const Tde=Object.freeze(Object.defineProperty({__proto__:null,protocol:Cde,get PacketType(){return Vn},Encoder:_de,Decoder:Zk},Symbol.toStringTag,{value:"Module"}));function Cl(e,t,r){return e.on(t,r),function(){e.off(t,r)}}const Nde=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class _U extends la{constructor(t,r,i){super(),this.connected=!1,this.receiveBuffer=[],this.sendBuffer=[],this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=r,i&&i.auth&&(this.auth=i.auth),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Cl(t,"open",this.onopen.bind(this)),Cl(t,"packet",this.onpacket.bind(this)),Cl(t,"error",this.onerror.bind(this)),Cl(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...r){if(Nde.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');r.unshift(t);const i={type:Vn.EVENT,data:r};if(i.options={},i.options.compress=this.flags.compress!==!1,typeof r[r.length-1]=="function"){const u=this.ids++,h=r.pop();this._registerAckCallback(u,h),i.id=u}const s=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!s||!this.connected)||(this.connected?(this.notifyOutgoingListeners(i),this.packet(i)):this.sendBuffer.push(i)),this.flags={},this}_registerAckCallback(t,r){const i=this.flags.timeout;if(i===void 0){this.acks[t]=r;return}const s=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let c=0;c<this.sendBuffer.length;c++)this.sendBuffer[c].id===t&&this.sendBuffer.splice(c,1);r.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...c)=>{this.io.clearTimeoutFn(s),r.apply(this,[null,...c])}}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this.packet({type:Vn.CONNECT,data:t})}):this.packet({type:Vn.CONNECT,data:this.auth})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,r){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,r)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Vn.CONNECT:if(t.data&&t.data.sid){const s=t.data.sid;this.onconnect(s)}else this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Vn.EVENT:case Vn.BINARY_EVENT:this.onevent(t);break;case Vn.ACK:case Vn.BINARY_ACK:this.onack(t);break;case Vn.DISCONNECT:this.ondisconnect();break;case Vn.CONNECT_ERROR:this.destroy();const i=new Error(t.data.message);i.data=t.data.data,this.emitReserved("connect_error",i);break}}onevent(t){const r=t.data||[];t.id!=null&&r.push(this.ack(t.id)),this.connected?this.emitEvent(r):this.receiveBuffer.push(Object.freeze(r))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const r=this._anyListeners.slice();for(const i of r)i.apply(this,t)}super.emit.apply(this,t)}ack(t){const r=this;let i=!1;return function(...s){i||(i=!0,r.packet({type:Vn.ACK,id:t,data:s}))}}onack(t){const r=this.acks[t.id];typeof r=="function"&&(r.apply(this,t.data),delete this.acks[t.id])}onconnect(t){this.id=t,this.connected=!0,this.emitBuffered(),this.emitReserved("connect")}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Vn.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const r=this._anyListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const r=this._anyOutgoingListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const r=this._anyOutgoingListeners.slice();for(const i of r)i.apply(this,t.data)}}}function sv(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}sv.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),r=Math.floor(t*this.jitter*e);e=(Math.floor(t*10)&1)==0?e-r:e+r}return Math.min(e,this.max)|0};sv.prototype.reset=function(){this.attempts=0};sv.prototype.setMin=function(e){this.ms=e};sv.prototype.setMax=function(e){this.max=e};sv.prototype.setJitter=function(e){this.jitter=e};class ZA extends la{constructor(t,r){var i;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(r=t,t=void 0),r=r||{},r.path=r.path||"/socket.io",this.opts=r,uC(this,r),this.reconnection(r.reconnection!==!1),this.reconnectionAttempts(r.reconnectionAttempts||1/0),this.reconnectionDelay(r.reconnectionDelay||1e3),this.reconnectionDelayMax(r.reconnectionDelayMax||5e3),this.randomizationFactor((i=r.randomizationFactor)!==null&&i!==void 0?i:.5),this.backoff=new sv({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(r.timeout==null?2e4:r.timeout),this._readyState="closed",this.uri=t;const s=r.parser||Tde;this.encoder=new s.Encoder,this.decoder=new s.Decoder,this._autoConnect=r.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var r;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(r=this.backoff)===null||r===void 0||r.setMin(t),this)}randomizationFactor(t){var r;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(r=this.backoff)===null||r===void 0||r.setJitter(t),this)}reconnectionDelayMax(t){var r;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(r=this.backoff)===null||r===void 0||r.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new Af(this.uri,this.opts);const r=this.engine,i=this;this._readyState="opening",this.skipReconnect=!1;const s=Cl(r,"open",function(){i.onopen(),t&&t()}),c=Cl(r,"error",u=>{i.cleanup(),i._readyState="closed",this.emitReserved("error",u),t?t(u):i.maybeReconnectOnOpen()});if(this._timeout!==!1){const u=this._timeout;u===0&&s();const h=this.setTimeoutFn(()=>{s(),r.close(),r.emit("error",new Error("timeout"))},u);this.opts.autoUnref&&h.unref(),this.subs.push(function(){clearTimeout(h)})}return this.subs.push(s),this.subs.push(c),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(Cl(t,"ping",this.onping.bind(this)),Cl(t,"data",this.ondata.bind(this)),Cl(t,"error",this.onerror.bind(this)),Cl(t,"close",this.onclose.bind(this)),Cl(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch{this.onclose("parse error")}}ondecoded(t){this.emitReserved("packet",t)}onerror(t){this.emitReserved("error",t)}socket(t,r){let i=this.nsps[t];return i||(i=new _U(this,t,r),this.nsps[t]=i),i}_destroy(t){const r=Object.keys(this.nsps);for(const i of r)if(this.nsps[i].active)return;this._close()}_packet(t){const r=this.encoder.encode(t);for(let i=0;i<r.length;i++)this.engine.write(r[i],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,r){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,r),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const r=this.backoff.duration();this._reconnecting=!0;const i=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(s=>{s?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",s)):t.onreconnect()}))},r);this.opts.autoUnref&&i.unref(),this.subs.push(function(){clearTimeout(i)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const Ny={};function Fx(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const r=vde(e,t.path||"/socket.io"),i=r.source,s=r.id,c=r.path,u=Ny[s]&&c in Ny[s].nsps,h=t.forceNew||t["force new connection"]||t.multiplex===!1||u;let m;return h?m=new ZA(i,t):(Ny[s]||(Ny[s]=new ZA(i,t)),m=Ny[s]),r.query&&!t.query&&(t.query=r.queryKey),m.socket(r.path,t)}Object.assign(Fx,{Manager:ZA,Socket:_U,io:Fx,connect:Fx});const Rde=()=>{const{hostname:e,port:t}=new URL(window.location.href),r=Fx(`http://${e}:9090`);let i=!1;return 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0,!1,{fileName:mo,lineNumber:91,columnNumber:33},void 0)},void 0,!1,{fileName:mo,lineNumber:90,columnNumber:29},void 0),k(Ps,{"aria-label":"Use all parameters",colorScheme:"blue",icon:k(ppe,{},void 0,!1,{fileName:mo,lineNumber:102,columnNumber:39},void 0),size:"xs",fontSize:15,onClickCapture:R},void 0,!1,{fileName:mo,lineNumber:99,columnNumber:29},void 0),h.metadata.seed&&k(Ps,{"aria-label":"Use seed",colorScheme:"blue",icon:k(gpe,{},void 0,!1,{fileName:mo,lineNumber:111,columnNumber:43},void 0),size:"xs",fontSize:16,onClickCapture:A},void 0,!1,{fileName:mo,lineNumber:108,columnNumber:33},void 0)]},void 0,!0,{fileName:mo,lineNumber:83,columnNumber:25},void 0)]},void 0,!0,{fileName:mo,lineNumber:59,columnNumber:17},void 0)]},b,!0,{fileName:mo,lineNumber:49,columnNumber:13},void 0)},(e,t)=>e.image.uuid===t.image.uuid&&e.isSelected===t.isSelected),Bpe=()=>{const{images:e,currentImageUuid:t}=Tr(r=>r.gallery);return k(Ln,{gap:2,wrap:"wrap",pb:2,children:[...e].reverse().map(r=>{const{uuid:i}=r;return k(zpe,{image:r,isSelected:t===i},i,!1,{fileName:mo,lineNumber:139,columnNumber:21},void 0)})},void 0,!1,{fileName:mo,lineNumber:134,columnNumber:9},void 0)};function Upe(e){return Jo({tag:"svg",attr:{viewBox:"0 0 24 24"},child:[{tag:"path",attr:{fill:"none",d:"M0 0h24v24H0z"}},{tag:"path",attr:{d:"M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm1 17h-2v-2h2v2zm2.07-7.75l-.9.92C13.45 12.9 13 13.5 13 15h-2v-.5c0-1.1.45-2.1 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41 0-1.1-.9-2-2-2s-2 .9-2 2H8c0-2.21 1.79-4 4-4s4 1.79 4 4c0 .88-.36 1.68-.93 2.25z"}}]})(e)}function jpe(e){return Jo({tag:"svg",attr:{viewBox:"0 0 24 24"},child:[{tag:"path",attr:{fill:"none",d:"M0 0h24v24H0V0z"}},{tag:"path",attr:{d:"M19.14 12.94c.04-.3.06-.61.06-.94 0-.32-.02-.64-.07-.94l2.03-1.58a.49.49 0 00.12-.61l-1.92-3.32a.488.488 0 00-.59-.22l-2.39.96c-.5-.38-1.03-.7-1.62-.94l-.36-2.54a.484.484 0 00-.48-.41h-3.84c-.24 0-.43.17-.47.41l-.36 2.54c-.59.24-1.13.57-1.62.94l-2.39-.96c-.22-.08-.47 0-.59.22L2.74 8.87c-.12.21-.08.47.12.61l2.03 1.58c-.05.3-.09.63-.09.94s.02.64.07.94l-2.03 1.58a.49.49 0 00-.12.61l1.92 3.32c.12.22.37.29.59.22l2.39-.96c.5.38 1.03.7 1.62.94l.36 2.54c.05.24.24.41.48.41h3.84c.24 0 .44-.17.47-.41l.36-2.54c.59-.24 1.13-.56 1.62-.94l2.39.96c.22.08.47 0 .59-.22l1.92-3.32c.12-.22.07-.47-.12-.61l-2.01-1.58zM12 15.6c-1.98 0-3.6-1.62-3.6-3.6s1.62-3.6 3.6-3.6 3.6 1.62 3.6 3.6-1.62 3.6-3.6 3.6z"}}]})(e)}var hr="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/system/SettingsModal.tsx";const $pe=Qr(e=>e.system,e=>{const{shouldDisplayInProgress:t,shouldConfirmOnDelete:r}=e;return{shouldDisplayInProgress:t,shouldConfirmOnDelete:r}},{memoizeOptions:{resultEqualityCheck:ua.exports.isEqual}}),Vpe=({children:e})=>{const{isOpen:t,onOpen:r,onClose:i}=mA(),{isOpen:s,onOpen:c,onClose:u}=mA(),{shouldDisplayInProgress:h,shouldConfirmOnDelete:m}=Tr($pe),v=ja(),b=()=>{KU.purge().then(()=>{i(),c()})};return k(bo,{children:[D.exports.cloneElement(e,{onClick:r}),k(pb,{isOpen:t,onClose:i,children:[k(dw,{},void 0,!1,{fileName:hr,lineNumber:78,columnNumber:17},void 0),k(hb,{children:[k(Tk,{children:"Settings"},void 0,!1,{fileName:hr,lineNumber:80,columnNumber:21},void 0),k(_k,{},void 0,!1,{fileName:hr,lineNumber:81,columnNumber:21},void 0),k(fw,{children:k(Ln,{gap:5,direction:"column",children:[k(Fp,{children:k(sw,{children:[k(zp,{marginBottom:1,children:"Display in-progress images (slower)"},void 0,!1,{fileName:hr,lineNumber:86,columnNumber:37},void 0),k(Dp,{isChecked:h,onChange:x=>v(Lfe(x.target.checked))},void 0,!1,{fileName:hr,lineNumber:89,columnNumber:37},void 0)]},void 0,!0,{fileName:hr,lineNumber:85,columnNumber:33},void 0)},void 0,!1,{fileName:hr,lineNumber:84,columnNumber:29},void 0),k(Fp,{children:k(sw,{children:[k(zp,{marginBottom:1,children:"Confirm on delete"},void 0,!1,{fileName:hr,lineNumber:103,columnNumber:37},void 0),k(Dp,{isChecked:m,onChange:x=>v(cU(x.target.checked))},void 0,!1,{fileName:hr,lineNumber:106,columnNumber:37},void 0)]},void 0,!0,{fileName:hr,lineNumber:102,columnNumber:33},void 0)},void 0,!1,{fileName:hr,lineNumber:101,columnNumber:29},void 0),k(ik,{size:"md",children:"Reset Web UI"},void 0,!1,{fileName:hr,lineNumber:119,columnNumber:29},void 0),k(Ir,{children:"Resetting the web UI only resets the browser's local cache of your images and remembered settings. It does not delete any images from disk."},void 0,!1,{fileName:hr,lineNumber:120,columnNumber:29},void 0),k(Ir,{children:"If images aren't showing up in the gallery or something else isn't working, please try resetting before submitting an issue on GitHub."},void 0,!1,{fileName:hr,lineNumber:126,columnNumber:29},void 0),k(Xi,{label:"Reset Web UI",colorScheme:"red",onClick:b},void 0,!1,{fileName:hr,lineNumber:131,columnNumber:29},void 0)]},void 0,!0,{fileName:hr,lineNumber:83,columnNumber:25},void 0)},void 0,!1,{fileName:hr,lineNumber:82,columnNumber:21},void 0),k(Ek,{children:k(Xi,{label:"Close",onClick:i},void 0,!1,{fileName:hr,lineNumber:140,columnNumber:25},void 0)},void 0,!1,{fileName:hr,lineNumber:139,columnNumber:21},void 0)]},void 0,!0,{fileName:hr,lineNumber:79,columnNumber:17},void 0)]},void 0,!0,{fileName:hr,lineNumber:77,columnNumber:13},void 0),k(pb,{closeOnOverlayClick:!1,isOpen:s,onClose:u,isCentered:!0,children:[k(dw,{bg:"blackAlpha.300",backdropFilter:"blur(40px)"},void 0,!1,{fileName:hr,lineNumber:154,columnNumber:17},void 0),k(hb,{children:k(fw,{pb:6,pt:6,children:k(Ln,{justifyContent:"center",children:k(Ir,{fontSize:"lg",children:"Web UI has been reset. Refresh the page to reload."},void 0,!1,{fileName:hr,lineNumber:158,columnNumber:29},void 0)},void 0,!1,{fileName:hr,lineNumber:157,columnNumber:25},void 0)},void 0,!1,{fileName:hr,lineNumber:156,columnNumber:21},void 0)},void 0,!1,{fileName:hr,lineNumber:155,columnNumber:17},void 0)]},void 0,!0,{fileName:hr,lineNumber:148,columnNumber:13},void 0)]},void 0,!0)};var Ri="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/header/SiteHeader.tsx";const Hpe=Qr(e=>e.system,e=>({isConnected:e.isConnected}),{memoizeOptions:{resultEqualityCheck:ua.exports.isEqual}}),Wpe=()=>{const{colorMode:e,toggleColorMode:t}=Nw(),{isConnected:r}=Tr(Hpe);return k(Ln,{minWidth:"max-content",alignItems:"center",gap:"1",pl:2,pr:1,children:[k(ik,{size:"lg",children:"Stable Diffusion Dream Server"},void 0,!1,{fileName:Ri,lineNumber:36,columnNumber:7},void 0),k(qz,{},void 0,!1,{fileName:Ri,lineNumber:38,columnNumber:7},void 0),k(Ir,{textColor:r?"green.500":"red.500",children:r?"Connected to server":"No connection to server"},void 0,!1,{fileName:Ri,lineNumber:40,columnNumber:7},void 0),k(Vpe,{children:k(Ps,{"aria-label":"Settings",variant:"link",fontSize:24,size:"sm",icon:k(jpe,{},void 0,!1,{fileName:Ri,lineNumber:50,columnNumber:17},void 0)},void 0,!1,{fileName:Ri,lineNumber:45,columnNumber:9},void 0)},void 0,!1,{fileName:Ri,lineNumber:44,columnNumber:7},void 0),k(Ps,{"aria-label":"Link to Github Issues",variant:"link",fontSize:23,size:"sm",icon:k(ow,{isExternal:!0,href:"http://github.com/lstein/stable-diffusion/issues",children:k(Upe,{},void 0,!1,{fileName:Ri,lineNumber:64,columnNumber:13},void 0)},void 0,!1,{fileName:Ri,lineNumber:60,columnNumber:11},void 0)},void 0,!1,{fileName:Ri,lineNumber:54,columnNumber:7},void 0),k(Ps,{"aria-label":"Link to Github Repo",variant:"link",fontSize:20,size:"sm",icon:k(ow,{isExternal:!0,href:"http://github.com/lstein/stable-diffusion",children:k(upe,{},void 0,!1,{fileName:Ri,lineNumber:76,columnNumber:13},void 0)},void 0,!1,{fileName:Ri,lineNumber:75,columnNumber:11},void 0)},void 0,!1,{fileName:Ri,lineNumber:69,columnNumber:7},void 0),k(Ps,{"aria-label":"Toggle Dark Mode",onClick:t,variant:"link",size:"sm",fontSize:e=="light"?18:20,icon:e=="light"?k(mpe,{},void 0,!1,{fileName:Ri,lineNumber:87,columnNumber:38},void 0):k(ype,{},void 0,!1,{fileName:Ri,lineNumber:87,columnNumber:51},void 0)},void 0,!1,{fileName:Ri,lineNumber:81,columnNumber:7},void 0)]},void 0,!0,{fileName:Ri,lineNumber:35,columnNumber:5},void 0)};var sc="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/components/SDNumberInput.tsx";const zf=e=>{const{label:t,isDisabled:r=!1,fontSize:i="md",size:s="sm",width:c,isInvalid:u,...h}=e;return k(Fp,{isDisabled:r,width:c,isInvalid:u,children:k(Ln,{gap:2,justifyContent:"space-between",alignItems:"center",children:[t&&k(zp,{marginBottom:1,children:k(Ir,{fontSize:i,whiteSpace:"nowrap",children:t},void 0,!1,{fileName:sc,lineNumber:34,columnNumber:13},void 0)},void 0,!1,{fileName:sc,lineNumber:33,columnNumber:11},void 0),k(n6,{size:s,...h,keepWithinRange:!1,clampValueOnBlur:!0,children:[k(a6,{fontSize:"md"},void 0,!1,{fileName:sc,lineNumber:45,columnNumber:11},void 0),k(r6,{children:[k(s6,{},void 0,!1,{fileName:sc,lineNumber:47,columnNumber:13},void 0),k(o6,{},void 0,!1,{fileName:sc,lineNumber:48,columnNumber:13},void 0)]},void 0,!0,{fileName:sc,lineNumber:46,columnNumber:11},void 0)]},void 0,!0,{fileName:sc,lineNumber:39,columnNumber:9},void 0)]},void 0,!0,{fileName:sc,lineNumber:31,columnNumber:7},void 0)},void 0,!1,{fileName:sc,lineNumber:30,columnNumber:5},void 0)};var vx="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/components/SDSwitch.tsx";const ww=e=>{const{label:t,isDisabled:r=!1,fontSize:i="md",size:s="md",width:c,...u}=e;return k(Fp,{isDisabled:r,width:c,children:k(Ln,{justifyContent:"space-between",alignItems:"center",children:[t&&k(zp,{fontSize:i,marginBottom:1,flexGrow:2,whiteSpace:"nowrap",children:t},void 0,!1,{fileName:vx,lineNumber:27,columnNumber:11},void 0),k(Dp,{size:s,...u},void 0,!1,{fileName:vx,lineNumber:36,columnNumber:9},void 0)]},void 0,!0,{fileName:vx,lineNumber:25,columnNumber:7},void 0)},void 0,!1,{fileName:vx,lineNumber:24,columnNumber:5},void 0)};var ho="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/SeedVariationOptions.tsx";const Gpe=Qr(e=>e.sd,e=>({variantAmount:e.variantAmount,seedWeights:e.seedWeights,shouldGenerateVariations:e.shouldGenerateVariations,shouldRandomizeSeed:e.shouldRandomizeSeed,seed:e.seed,iterations:e.iterations}),{memoizeOptions:{resultEqualityCheck:ua.exports.isEqual}}),Ype=()=>{const{shouldGenerateVariations:e,variantAmount:t,seedWeights:r,shouldRandomizeSeed:i,seed:s,iterations:c}=Tr(Gpe),u=ja();return k(Ln,{gap:2,direction:"column",children:[k(zf,{label:"Images to generate",step:1,min:1,precision:0,onChange:h=>u(Yce(Number(h))),value:c},void 0,!1,{fileName:ho,lineNumber:62,columnNumber:13},void 0),k(ww,{label:"Randomize seed on generation",isChecked:i,onChange:h=>u(pfe(h.target.checked))},void 0,!1,{fileName:ho,lineNumber:70,columnNumber:13},void 0),k(Ln,{gap:2,children:[k(zf,{label:"Seed",step:1,precision:0,flexGrow:1,min:Wk,max:Gk,isDisabled:i,isInvalid:s<0&&e,onChange:h=>u(Yk(Number(h))),value:s},void 0,!1,{fileName:ho,lineNumber:78,columnNumber:17},void 0),k(Gm,{size:"sm",isDisabled:i,onClick:()=>u(ife()),children:k(Ir,{pl:2,pr:2,children:"Shuffle"},void 0,!1,{fileName:ho,lineNumber:95,columnNumber:21},void 0)},void 0,!1,{fileName:ho,lineNumber:90,columnNumber:17},void 0)]},void 0,!0,{fileName:ho,lineNumber:77,columnNumber:13},void 0),k(ww,{label:"Generate variations",isChecked:e,width:"auto",onChange:h=>u(lfe(h.target.checked))},void 0,!1,{fileName:ho,lineNumber:100,columnNumber:13},void 0),k(zf,{label:"Variation amount",value:t,step:.01,min:0,max:1,isDisabled:!e,onChange:h=>u(cfe(Number(h)))},void 0,!1,{fileName:ho,lineNumber:108,columnNumber:13},void 0),k(Fp,{isInvalid:e&&!(lC(r)||r===""),flexGrow:1,isDisabled:!e,children:k(sw,{children:[k(zp,{marginInlineEnd:0,marginBottom:1,children:k(Ir,{whiteSpace:"nowrap",children:"Seed Weights"},void 0,!1,{fileName:ho,lineNumber:127,columnNumber:25},void 0)},void 0,!1,{fileName:ho,lineNumber:126,columnNumber:21},void 0),k(tk,{size:"sm",value:r,onChange:h=>u(ufe(h.target.value))},void 0,!1,{fileName:ho,lineNumber:131,columnNumber:21},void 0)]},void 0,!0,{fileName:ho,lineNumber:125,columnNumber:17},void 0)},void 0,!1,{fileName:ho,lineNumber:117,columnNumber:13},void 0)]},void 0,!0,{fileName:ho,lineNumber:61,columnNumber:9},void 0)};var vp="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/components/SDSelect.tsx";const Cw=e=>{const{label:t,isDisabled:r,validValues:i,size:s="sm",fontSize:c="md",marginBottom:u=1,whiteSpace:h="nowrap",...m}=e;return k(Fp,{isDisabled:r,children:k(Ln,{justifyContent:"space-between",alignItems:"center",children:[k(zp,{marginBottom:u,children:k(Ir,{fontSize:c,whiteSpace:h,children:t},void 0,!1,{fileName:vp,lineNumber:34,columnNumber:21},void 0)},void 0,!1,{fileName:vp,lineNumber:31,columnNumber:17},void 0),k(c6,{fontSize:c,size:s,...m,children:i.map(v=>typeof v=="string"||typeof v=="number"?k("option",{value:v,children:v},v,!1,{fileName:vp,lineNumber:42,columnNumber:29},void 0):k("option",{value:v.value,children:v.key},v.value,!1,{fileName:vp,lineNumber:46,columnNumber:29},void 0))},void 0,!1,{fileName:vp,lineNumber:38,columnNumber:17},void 0)]},void 0,!0,{fileName:vp,lineNumber:30,columnNumber:13},void 0)},void 0,!1,{fileName:vp,lineNumber:29,columnNumber:9},void 0)};var gx="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/SamplerOptions.tsx";const qpe=Qr(e=>e.sd,e=>({steps:e.steps,cfgScale:e.cfgScale,sampler:e.sampler}),{memoizeOptions:{resultEqualityCheck:ua.exports.isEqual}}),Kpe=()=>{const{steps:e,cfgScale:t,sampler:r}=Tr(qpe),i=ja();return k(Ln,{gap:2,direction:"column",children:[k(zf,{label:"Steps",min:1,step:1,precision:0,onChange:s=>i(qce(Number(s))),value:e},void 0,!1,{fileName:gx,lineNumber:38,columnNumber:13},void 0),k(zf,{label:"CFG scale",step:.5,onChange:s=>i(Kce(Number(s))),value:t},void 0,!1,{fileName:gx,lineNumber:46,columnNumber:13},void 0),k(Cw,{label:"Sampler",value:r,onChange:s=>i(Qce(s.target.value)),validValues:jce},void 0,!1,{fileName:gx,lineNumber:52,columnNumber:13},void 0)]},void 0,!0,{fileName:gx,lineNumber:37,columnNumber:9},void 0)};var _O="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/ESRGANOptions.tsx";const Xpe=Qr(e=>e.sd,e=>({upscalingLevel:e.upscalingLevel,upscalingStrength:e.upscalingStrength}),{memoizeOptions:{resultEqualityCheck:ua.exports.isEqual}}),Zpe=Qr(e=>e.system,e=>({isESRGANAvailable:e.isESRGANAvailable}),{memoizeOptions:{resultEqualityCheck:ua.exports.isEqual}}),Qpe=()=>{const{upscalingLevel:e,upscalingStrength:t}=Tr(Xpe),{isESRGANAvailable:r}=Tr(Zpe),i=ja();return k(Ln,{direction:"column",gap:2,children:[k(Cw,{isDisabled:!r,label:"Scale",value:e,onChange:s=>i(nfe(Number(s.target.value))),validValues:Hce},void 0,!1,{fileName:_O,lineNumber:58,columnNumber:13},void 0),k(zf,{isDisabled:!r,label:"Strength",step:.05,min:0,max:1,onChange:s=>i(rfe(Number(s))),value:t},void 0,!1,{fileName:_O,lineNumber:71,columnNumber:13},void 0)]},void 0,!0,{fileName:_O,lineNumber:57,columnNumber:9},void 0)};var eF="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/GFPGANOptions.tsx";const 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Tn})})}}),(!h&&Jt.length>1||h&&m>=1&&Jt.length>m)&&(Jt.forEach(function(ke){Tt.push({file:ke,errors:[Rhe]})}),Jt.splice(0)),Te({acceptedFiles:Jt,fileRejections:Tt,type:"setFiles"}),C&&C(Jt,Tt,Ze),Tt.length>0&&R&&R(Tt,Ze),Jt.length>0&&_&&_(Jt,Ze)},[Te,h,se,u,c,m,C,_,R,ve]),zt=D.exports.useCallback(function(Ve){Ve.preventDefault(),Ve.persist(),Bt(Ve),Ye.current=[],yx(Ve)&&Promise.resolve(s(Ve)).then(function(Ze){Ew(Ve)&&!X||Et(Ze,Ve)}).catch(function(Ze){return mt(Ze)}),Te({type:"reset"})},[s,Et,mt,X]),We=D.exports.useCallback(function(){if(Ie.current){Te({type:"openDialog"}),Xe();var Ve={multiple:h,types:be};window.showOpenFilePicker(Ve).then(function(Ze){return s(Ze)}).then(function(Ze){Et(Ze,null),Te({type:"closeDialog"})}).catch(function(Ze){Lhe(Ze)?(ie(Ze),Te({type:"closeDialog"})):Fhe(Ze)?(Ie.current=!1,Re.current?(Re.current.value=null,Re.current.click()):mt(new Error("Cannot open the file picker because the https://developer.mozilla.org/en-US/docs/Web/API/File_System_Access_API is not supported and no <input> was provided."))):mt(Ze)});return}Re.current&&(Te({type:"openDialog"}),Xe(),Re.current.value=null,Re.current.click())},[Te,Xe,ie,j,Et,mt,be,h]),Yt=D.exports.useCallback(function(Ve){!ce.current||!ce.current.isEqualNode(Ve.target)||(Ve.key===" "||Ve.key==="Enter"||Ve.keyCode===32||Ve.keyCode===13)&&(Ve.preventDefault(),We())},[ce,We]),ye=D.exports.useCallback(function(){Te({type:"focus"})},[]),Mt=D.exports.useCallback(function(){Te({type:"blur"})},[]),Kt=D.exports.useCallback(function(){B||(Dhe()?setTimeout(We,0):We())},[B,We]),St=function(Ze){return i?null:Ze},ar=function(Ze){return $?null:St(Ze)},ir=function(Ze){return K?null:St(Ze)},Bt=function(Ze){X&&Ze.stopPropagation()},fn=D.exports.useMemo(function(){return function(){var Ve=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},Ze=Ve.refKey,Jt=Ze===void 0?"ref":Ze,Tt=Ve.role,ke=Ve.onKeyDown,jt=Ve.onFocus,xn=Ve.onBlur,je=Ve.onClick,rt=Ve.onDragEnter,xt=Ve.onDragOver,dn=Ve.onDragLeave,Xt=Ve.onDrop,wn=Tw(Ve,jhe);return Mr(Mr(r2({onKeyDown:ar(nu(ke,Yt)),onFocus:ar(nu(jt,ye)),onBlur:ar(nu(xn,Mt)),onClick:St(nu(je,Kt)),onDragEnter:ir(nu(rt,Gt)),onDragOver:ir(nu(xt,Qe)),onDragLeave:ir(nu(dn,vt)),onDrop:ir(nu(Xt,zt)),role:typeof Tt=="string"&&Tt!==""?Tt:"presentation"},Jt,ce),!i&&!$?{tabIndex:0}:{}),wn)}},[ce,Yt,ye,Mt,Kt,Gt,Qe,vt,zt,$,K,i]),An=D.exports.useCallback(function(Ve){Ve.stopPropagation()},[]),hn=D.exports.useMemo(function(){return function(){var Ve=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},Ze=Ve.refKey,Jt=Ze===void 0?"ref":Ze,Tt=Ve.onChange,ke=Ve.onClick,jt=Tw(Ve,$he),xn=r2({accept:se,multiple:h,type:"file",style:{display:"none"},onChange:St(nu(Tt,zt)),onClick:St(nu(ke,An)),tabIndex:-1},Jt,Re);return Mr(Mr({},xn),jt)}},[Re,r,h,zt,i]);return Mr(Mr({},Se),{},{isFocused:pe&&!i,getRootProps:fn,getInputProps:hn,rootRef:ce,inputRef:Re,open:St(We)})}function Zhe(e,t){switch(t.type){case"focus":return Mr(Mr({},e),{},{isFocused:!0});case"blur":return Mr(Mr({},e),{},{isFocused:!1});case"openDialog":return Mr(Mr({},a2),{},{isFileDialogActive:!0});case"closeDialog":return Mr(Mr({},e),{},{isFileDialogActive:!1});case"setDraggedFiles":return Mr(Mr({},e),{},{isDragActive:t.isDragActive,isDragAccept:t.isDragAccept,isDragReject:t.isDragReject});case"setFiles":return Mr(Mr({},e),{},{acceptedFiles:t.acceptedFiles,fileRejections:t.fileRejections});case"reset":return Mr({},a2);default:return e}}function cF(){}var fF="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/MaskUploader.tsx";const Qhe=({children:e})=>{const t=ja(),r=k6(),i=D.exports.useCallback((m,v)=>{v.forEach(b=>{const x=b.errors.reduce((C,_)=>C+`
-`+_.message,"");r({title:"Upload failed",description:x,status:"error",isClosable:!0})}),m.forEach(b=>{t(Ide(b))})},[t,r]),{getRootProps:s,getInputProps:c,open:u}=Jk({onDrop:i,accept:{"image/jpeg":[".jpg",".jpeg",".png"]}}),h=m=>{m.stopPropagation(),u()};return k("div",{...s(),children:[k("input",{...c({multiple:!1})},void 0,!1,{fileName:fF,lineNumber:53,columnNumber:13},void 0),D.exports.cloneElement(e,{onClick:h})]},void 0,!0,{fileName:fF,lineNumber:52,columnNumber:9},void 0)};var xl="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/InitImage.tsx";const Jhe=Qr(e=>e.sd,e=>({initialImagePath:e.initialImagePath,maskPath:e.maskPath}),{memoizeOptions:{resultEqualityCheck:ua.exports.isEqual}}),eme=()=>{const e=k6(),t=ja(),{initialImagePath:r,maskPath:i}=Tr(Jhe),s=D.exports.useCallback((M,j)=>{j.forEach(I=>{const z=I.errors.reduce((B,$)=>B+`
-`+$.message,"");e({title:"Upload failed",description:z,status:"error",isClosable:!0})}),M.forEach(I=>{t(Mde(I))})},[t,e]),{getRootProps:c,getInputProps:u,open:h}=Jk({onDrop:s,accept:{"image/jpeg":[".jpg",".jpeg",".png"]}}),[m,v]=D.exports.useState(!1),b=M=>{M.stopPropagation(),h()},x=M=>{M.stopPropagation(),t(qk("")),t(iU(""))},C=()=>v(!1),_=()=>v(!0),R=()=>v(!0),A=()=>v(!0);return k(Ln,{...c({onClick:r?M=>M.stopPropagation():void 0}),direction:"column",alignItems:"center",gap:2,children:[k("input",{...u({multiple:!1})},void 0,!1,{fileName:xl,lineNumber:97,columnNumber:7},void 0),k(Ln,{gap:2,justifyContent:"space-between",width:"100%",children:[k(Gm,{size:"sm",fontSize:"md",fontWeight:"normal",onClick:b,onMouseOver:C,onMouseOut:_,children:"Upload Image"},void 0,!1,{fileName:xl,lineNumber:99,columnNumber:9},void 0),k(Qhe,{children:k(Gm,{size:"sm",fontSize:"md",fontWeight:"normal",onClick:b,onMouseOver:R,onMouseOut:A,children:"Upload Mask"},void 0,!1,{fileName:xl,lineNumber:111,columnNumber:11},void 0)},void 0,!1,{fileName:xl,lineNumber:110,columnNumber:9},void 0),k(Ps,{size:"sm","aria-label":"Reset initial image and mask",onClick:x,icon:k(FU,{},void 0,!1,{fileName:xl,lineNumber:126,columnNumber:17},void 0)},void 0,!1,{fileName:xl,lineNumber:122,columnNumber:9},void 0)]},void 0,!0,{fileName:xl,lineNumber:98,columnNumber:7},void 0),r&&k(Ln,{position:"relative",width:"100%",children:[k(lb,{fit:"contain",src:r,rounded:"md",className:"checkerboard"},void 0,!1,{fileName:xl,lineNumber:131,columnNumber:11},void 0),m&&i&&k(lb,{position:"absolute",top:0,left:0,fit:"contain",src:i,rounded:"md",zIndex:1,className:"checkerboard"},void 0,!1,{fileName:xl,lineNumber:138,columnNumber:13},void 0)]},void 0,!0,{fileName:xl,lineNumber:130,columnNumber:9},void 0)]},void 0,!0,{fileName:xl,lineNumber:89,columnNumber:5},void 0)};var bx="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/ImageToImageOptions.tsx";const tme=Qr(e=>e.sd,e=>({initialImagePath:e.initialImagePath,img2imgStrength:e.img2imgStrength,shouldFitToWidthHeight:e.shouldFitToWidthHeight})),nme=()=>{const{initialImagePath:e,img2imgStrength:t,shouldFitToWidthHeight:r}=Tr(tme),i=ja();return k(Ln,{direction:"column",gap:2,children:[k(zf,{isDisabled:!e,label:"Strength",step:.01,min:0,max:1,onChange:s=>i(efe(Number(s))),value:t},void 0,!1,{fileName:bx,lineNumber:32,columnNumber:13},void 0),k(ww,{isDisabled:!e,label:"Fit initial image to output size",isChecked:r,onChange:s=>i(ofe(s.target.checked))},void 0,!1,{fileName:bx,lineNumber:41,columnNumber:13},void 0),k(eme,{},void 0,!1,{fileName:bx,lineNumber:49,columnNumber:13},void 0)]},void 0,!0,{fileName:bx,lineNumber:31,columnNumber:9},void 0)};var Ht="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/OptionsAccordion.tsx";const rme=Qr(e=>e.sd,e=>({initialImagePath:e.initialImagePath,shouldUseInitImage:e.shouldUseInitImage,shouldRunESRGAN:e.shouldRunESRGAN,shouldRunGFPGAN:e.shouldRunGFPGAN}),{memoizeOptions:{resultEqualityCheck:ua.exports.isEqual}}),ame=Qr(e=>e.system,e=>({isGFPGANAvailable:e.isGFPGANAvailable,isESRGANAvailable:e.isESRGANAvailable,openAccordions:e.openAccordions}),{memoizeOptions:{resultEqualityCheck:ua.exports.isEqual}}),ime=()=>{const{shouldRunESRGAN:e,shouldRunGFPGAN:t,shouldUseInitImage:r,initialImagePath:i}=Tr(rme),{isGFPGANAvailable:s,isESRGANAvailable:c,openAccordions:u}=Tr(ame),h=ja();return k(Cz,{defaultIndex:u,allowMultiple:!0,reduceMotion:!0,onChange:m=>h(zfe(m)),children:[k(Sp,{children:[k("h2",{children:k(yp,{children:[k(Ap,{flex:"1",textAlign:"left",children:"Seed & Variation"},void 0,!1,{fileName:Ht,lineNumber:90,columnNumber:25},void 0),k(bp,{},void 0,!1,{fileName:Ht,lineNumber:93,columnNumber:25},void 0)]},void 0,!0,{fileName:Ht,lineNumber:89,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:88,columnNumber:17},void 0),k(xp,{children:k(Ype,{},void 0,!1,{fileName:Ht,lineNumber:97,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:96,columnNumber:17},void 0)]},void 0,!0,{fileName:Ht,lineNumber:87,columnNumber:13},void 0),k(Sp,{children:[k("h2",{children:k(yp,{children:[k(Ap,{flex:"1",textAlign:"left",children:"Sampler"},void 0,!1,{fileName:Ht,lineNumber:103,columnNumber:25},void 0),k(bp,{},void 0,!1,{fileName:Ht,lineNumber:106,columnNumber:25},void 0)]},void 0,!0,{fileName:Ht,lineNumber:102,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:101,columnNumber:17},void 0),k(xp,{children:k(Kpe,{},void 0,!1,{fileName:Ht,lineNumber:110,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:109,columnNumber:17},void 0)]},void 0,!0,{fileName:Ht,lineNumber:100,columnNumber:13},void 0),k(Sp,{children:[k("h2",{children:k(yp,{children:[k(Ln,{justifyContent:"space-between",alignItems:"center",width:"100%",mr:2,children:[k(Ir,{children:"Upscale (ESRGAN)"},void 0,!1,{fileName:Ht,lineNumber:122,columnNumber:29},void 0),k(Dp,{isDisabled:!c,isChecked:e,onChange:m=>h(dfe(m.target.checked))},void 0,!1,{fileName:Ht,lineNumber:123,columnNumber:29},void 0)]},void 0,!0,{fileName:Ht,lineNumber:116,columnNumber:25},void 0),k(bp,{},void 0,!1,{fileName:Ht,lineNumber:133,columnNumber:25},void 0)]},void 0,!0,{fileName:Ht,lineNumber:115,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:114,columnNumber:17},void 0),k(xp,{children:k(Qpe,{},void 0,!1,{fileName:Ht,lineNumber:137,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:136,columnNumber:17},void 0)]},void 0,!0,{fileName:Ht,lineNumber:113,columnNumber:13},void 0),k(Sp,{children:[k("h2",{children:k(yp,{children:[k(Ln,{justifyContent:"space-between",alignItems:"center",width:"100%",mr:2,children:[k(Ir,{children:"Fix Faces (GFPGAN)"},void 0,!1,{fileName:Ht,lineNumber:149,columnNumber:29},void 0),k(Dp,{isDisabled:!s,isChecked:t,onChange:m=>h(ffe(m.target.checked))},void 0,!1,{fileName:Ht,lineNumber:150,columnNumber:29},void 0)]},void 0,!0,{fileName:Ht,lineNumber:143,columnNumber:25},void 0),k(bp,{},void 0,!1,{fileName:Ht,lineNumber:160,columnNumber:25},void 0)]},void 0,!0,{fileName:Ht,lineNumber:142,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:141,columnNumber:17},void 0),k(xp,{children:k(the,{},void 0,!1,{fileName:Ht,lineNumber:164,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:163,columnNumber:17},void 0)]},void 0,!0,{fileName:Ht,lineNumber:140,columnNumber:13},void 0),k(Sp,{children:[k("h2",{children:k(yp,{children:[k(Ln,{justifyContent:"space-between",alignItems:"center",width:"100%",mr:2,children:[k(Ir,{children:"Image to Image"},void 0,!1,{fileName:Ht,lineNumber:176,columnNumber:29},void 0),k(Dp,{isDisabled:!i,isChecked:r,onChange:m=>h(afe(m.target.checked))},void 0,!1,{fileName:Ht,lineNumber:177,columnNumber:29},void 0)]},void 0,!0,{fileName:Ht,lineNumber:170,columnNumber:25},void 0),k(bp,{},void 0,!1,{fileName:Ht,lineNumber:187,columnNumber:25},void 0)]},void 0,!0,{fileName:Ht,lineNumber:169,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:168,columnNumber:17},void 0),k(xp,{children:k(nme,{},void 0,!1,{fileName:Ht,lineNumber:191,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:190,columnNumber:17},void 0)]},void 0,!0,{fileName:Ht,lineNumber:167,columnNumber:13},void 0),k(Sp,{children:[k("h2",{children:k(yp,{children:[k(Ap,{flex:"1",textAlign:"left",children:"Output"},void 0,!1,{fileName:Ht,lineNumber:197,columnNumber:25},void 0),k(bp,{},void 0,!1,{fileName:Ht,lineNumber:200,columnNumber:25},void 0)]},void 0,!0,{fileName:Ht,lineNumber:196,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:195,columnNumber:17},void 0),k(xp,{children:k(rhe,{},void 0,!1,{fileName:Ht,lineNumber:204,columnNumber:21},void 0)},void 0,!1,{fileName:Ht,lineNumber:203,columnNumber:17},void 0)]},void 0,!0,{fileName:Ht,lineNumber:194,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:79,columnNumber:9},void 0)};var Oi="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/App.tsx";const ome=()=>{const e=ja();return D.exports.useEffect(()=>{e(Dde())},[e]),k(bo,{children:[k(ak,{width:"100vw",height:"100vh",templateAreas:`
-                    "header header header header"
-                    "progressBar progressBar progressBar progressBar"
-                    "menu prompt processButtons imageRoll"
-                    "menu currentImage currentImage imageRoll"`,gridTemplateRows:"36px 10px 100px auto",gridTemplateColumns:"350px auto 100px 388px",gap:2,children:[k(Tf,{area:"header",pt:1,children:k(Wpe,{},void 0,!1,{fileName:Oi,lineNumber:34,columnNumber:21},void 0)},void 0,!1,{fileName:Oi,lineNumber:33,columnNumber:17},void 0),k(Tf,{area:"progressBar",children:k(Dpe,{},void 0,!1,{fileName:Oi,lineNumber:37,columnNumber:21},void 0)},void 0,!1,{fileName:Oi,lineNumber:36,columnNumber:17},void 0),k(Tf,{pl:"2",area:"menu",overflowY:"scroll",children:k(ime,{},void 0,!1,{fileName:Oi,lineNumber:40,columnNumber:21},void 0)},void 0,!1,{fileName:Oi,lineNumber:39,columnNumber:17},void 0),k(Tf,{area:"prompt",children:k(Ope,{},void 0,!1,{fileName:Oi,lineNumber:43,columnNumber:21},void 0)},void 0,!1,{fileName:Oi,lineNumber:42,columnNumber:17},void 0),k(Tf,{area:"processButtons",children:k(Fpe,{},void 0,!1,{fileName:Oi,lineNumber:46,columnNumber:21},void 0)},void 0,!1,{fileName:Oi,lineNumber:45,columnNumber:17},void 0),k(Tf,{area:"currentImage",children:k(_pe,{},void 0,!1,{fileName:Oi,lineNumber:49,columnNumber:21},void 0)},void 0,!1,{fileName:Oi,lineNumber:48,columnNumber:17},void 0),k(Tf,{pr:"2",area:"imageRoll",overflowY:"scroll",children:k(Bpe,{},void 0,!1,{fileName:Oi,lineNumber:52,columnNumber:21},void 0)},void 0,!1,{fileName:Oi,lineNumber:51,columnNumber:17},void 0)]},void 0,!0,{fileName:Oi,lineNumber:21,columnNumber:13},void 0),k(Npe,{},void 0,!1,{fileName:Oi,lineNumber:55,columnNumber:13},void 0)]},void 0,!0)},dF=yue({config:{initialColorMode:"dark",useSystemColorMode:!1},components:{Tooltip:{baseStyle:e=>({textColor:e.colorMode==="dark"?"gray.800":"gray.100"})},Accordion:{baseStyle:e=>({button:{fontWeight:"bold",_hover:{bgColor:e.colorMode==="dark"?"rgba(255,255,255,0.05)":"rgba(0,0,0,0.05)"}},panel:{paddingBottom:2}})},FormLabel:{baseStyle:{fontWeight:"light"}}}});var pF="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/Loading.tsx";const sme=()=>k(Ln,{width:"100vw",height:"100vh",alignItems:"center",justifyContent:"center",children:k(Xw,{thickness:"2px",speed:"1s",emptyColor:"gray.200",color:"gray.400",size:"xl"},void 0,!1,{fileName:pF,lineNumber:11,columnNumber:13},void 0)},void 0,!1,{fileName:pF,lineNumber:5,columnNumber:9},void 0);var gp="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/main.tsx";const KU=kce(EU);NO.createRoot(document.getElementById("root")).render(k(Ue.StrictMode,{children:k(Jde,{store:EU,children:k(MU,{loading:k(sme,{},void 0,!1,{fileName:gp,lineNumber:18,columnNumber:29},void 0),persistor:KU,children:k(gue,{theme:dF,children:[k(QV,{initialColorMode:dF.config.initialColorMode},void 0,!1,{fileName:gp,lineNumber:20,columnNumber:11},void 0),k(ome,{},void 0,!1,{fileName:gp,lineNumber:21,columnNumber:11},void 0)]},void 0,!0,{fileName:gp,lineNumber:19,columnNumber:9},void 0)},void 0,!1,{fileName:gp,lineNumber:18,columnNumber:7},void 0)},void 0,!1,{fileName:gp,lineNumber:17,columnNumber:5},void 0)},void 0,!1,{fileName:gp,lineNumber:16,columnNumber:3},void 0));
diff --git a/frontend/dist/index.html b/frontend/dist/index.html
index b25b43a711..8006c7f87f 100644
--- a/frontend/dist/index.html
+++ b/frontend/dist/index.html
@@ -4,7 +4,7 @@
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Stable Diffusion Dream Server</title>
-    <script type="module" crossorigin src="/assets/index.cc5cde43.js"></script>
+    <script type="module" crossorigin src="/assets/index.3d2e59c5.js"></script>
     <link rel="stylesheet" href="/assets/index.447eb2a9.css">
   </head>
   <body>
diff --git a/frontend/package.json b/frontend/package.json
index 37dd841df0..6962f3547d 100644
--- a/frontend/package.json
+++ b/frontend/package.json
@@ -4,8 +4,7 @@
   "version": "0.0.0",
   "type": "module",
   "scripts": {
-    "dev": "tsc-watch --onSuccess 'yarn run vite build -m development'",
-    "hmr": "vite dev",
+    "dev": "vite dev",
     "build": "tsc && vite build",
     "build-dev": "tsc && vite build -m development",
     "preview": "vite preview"
diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx
index 5726a6165c..642a617f30 100644
--- a/frontend/src/App.tsx
+++ b/frontend/src/App.tsx
@@ -1,5 +1,5 @@
 import { Grid, GridItem } from '@chakra-ui/react';
-import CurrentImage from './features/gallery/CurrentImage';
+import CurrentImageDisplay from './features/gallery/CurrentImageDisplay';
 import LogViewer from './features/system/LogViewer';
 import PromptInput from './features/sd/PromptInput';
 import ProgressBar from './features/header/ProgressBar';
@@ -7,54 +7,57 @@ import { useEffect } from 'react';
 import { useAppDispatch } from './app/hooks';
 import { requestAllImages } from './app/socketio';
 import ProcessButtons from './features/sd/ProcessButtons';
-import ImageRoll from './features/gallery/ImageRoll';
+import ImageGallery from './features/gallery/ImageGallery';
 import SiteHeader from './features/header/SiteHeader';
 import OptionsAccordion from './features/sd/OptionsAccordion';
 
 const App = () => {
-    const dispatch = useAppDispatch();
-    useEffect(() => {
-        dispatch(requestAllImages());
-    }, [dispatch]);
-    return (
-        <>
-            <Grid
-                width='100vw'
-                height='100vh'
-                templateAreas={`
+  const dispatch = useAppDispatch();
+
+  // Load images from the gallery once
+  useEffect(() => {
+    dispatch(requestAllImages());
+  }, [dispatch]);
+
+  return (
+    <>
+      <Grid
+        width="100vw"
+        height="100vh"
+        templateAreas={`
                     "header header header header"
                     "progressBar progressBar progressBar progressBar"
                     "menu prompt processButtons imageRoll"
                     "menu currentImage currentImage imageRoll"`}
-                gridTemplateRows={'36px 10px 100px auto'}
-                gridTemplateColumns={'350px auto 100px 388px'}
-                gap={2}
-            >
-                <GridItem area={'header'} pt={1}>
-                    <SiteHeader />
-                </GridItem>
-                <GridItem area={'progressBar'}>
-                    <ProgressBar />
-                </GridItem>
-                <GridItem pl='2' area={'menu'} overflowY='scroll'>
-                    <OptionsAccordion />
-                </GridItem>
-                <GridItem area={'prompt'}>
-                    <PromptInput />
-                </GridItem>
-                <GridItem area={'processButtons'}>
-                    <ProcessButtons />
-                </GridItem>
-                <GridItem area={'currentImage'}>
-                    <CurrentImage />
-                </GridItem>
-                <GridItem pr='2' area={'imageRoll'} overflowY='scroll'>
-                    <ImageRoll />
-                </GridItem>
-            </Grid>
-            <LogViewer />
-        </>
-    );
+        gridTemplateRows={'36px 10px 100px auto'}
+        gridTemplateColumns={'350px auto 100px 388px'}
+        gap={2}
+      >
+        <GridItem area={'header'} pt={1}>
+          <SiteHeader />
+        </GridItem>
+        <GridItem area={'progressBar'}>
+          <ProgressBar />
+        </GridItem>
+        <GridItem pl="2" area={'menu'} overflowY="scroll">
+          <OptionsAccordion />
+        </GridItem>
+        <GridItem area={'prompt'}>
+          <PromptInput />
+        </GridItem>
+        <GridItem area={'processButtons'}>
+          <ProcessButtons />
+        </GridItem>
+        <GridItem area={'currentImage'}>
+          <CurrentImageDisplay />
+        </GridItem>
+        <GridItem pr="2" area={'imageRoll'} overflowY="scroll">
+          <ImageGallery />
+        </GridItem>
+      </Grid>
+      <LogViewer />
+    </>
+  );
 };
 
 export default App;
diff --git a/frontend/src/app/parameterTranslation.ts b/frontend/src/app/parameterTranslation.ts
index b7576f7c9c..a8d7d65c07 100644
--- a/frontend/src/app/parameterTranslation.ts
+++ b/frontend/src/app/parameterTranslation.ts
@@ -32,7 +32,7 @@ export const frontendToBackendParameters = (
         maskPath,
         shouldFitToWidthHeight,
         shouldGenerateVariations,
-        variantAmount,
+        variationAmount,
         seedWeights,
         shouldRunESRGAN,
         upscalingLevel,
@@ -71,13 +71,13 @@ export const frontendToBackendParameters = (
     }
 
     if (shouldGenerateVariations) {
-        generationParameters.variation_amount = variantAmount;
+        generationParameters.variation_amount = variationAmount;
         if (seedWeights) {
             generationParameters.with_variations =
                 stringToSeedWeights(seedWeights);
         }
     } else {
-        generationParameters.variation_amount = 0;
+        generationParameters.variation_amount = 0.1;
     }
 
     let esrganParameters: false | { [k: string]: any } = false;
@@ -138,7 +138,7 @@ export const backendToFrontendParameters = (parameters: {
 
     if (variation_amount > 0) {
         sd.shouldGenerateVariations = true;
-        sd.variantAmount = variation_amount;
+        sd.variationAmount = variation_amount;
         if (with_variations) {
             sd.seedWeights = seedWeightsToString(with_variations);
         }
diff --git a/frontend/src/components/SDButton.tsx b/frontend/src/components/SDButton.tsx
index aa4cf5b8b6..1107166923 100644
--- a/frontend/src/components/SDButton.tsx
+++ b/frontend/src/components/SDButton.tsx
@@ -1,16 +1,21 @@
 import { Button, ButtonProps } from '@chakra-ui/react';
 
 interface Props extends ButtonProps {
-    label: string;
+  label: string;
 }
 
+/**
+ * Reusable customized button component. Originally was more customized - now probably unecessary.
+ *
+ * TODO: Get rid of this.
+ */
 const SDButton = (props: Props) => {
-    const { label, size = 'sm', ...rest } = props;
-    return (
-        <Button size={size} {...rest}>
-            {label}
-        </Button>
-    );
+  const { label, size = 'sm', ...rest } = props;
+  return (
+    <Button size={size} {...rest}>
+      {label}
+    </Button>
+  );
 };
 
 export default SDButton;
diff --git a/frontend/src/components/SDNumberInput.tsx b/frontend/src/components/SDNumberInput.tsx
index e493031bdf..d293e109ca 100644
--- a/frontend/src/components/SDNumberInput.tsx
+++ b/frontend/src/components/SDNumberInput.tsx
@@ -16,6 +16,9 @@ interface Props extends NumberInputProps {
   width?: string | number;
 }
 
+/**
+ * Customized Chakra FormControl + NumberInput multi-part component.
+ */
 const SDNumberInput = (props: Props) => {
   const {
     label,
@@ -31,7 +34,7 @@ const SDNumberInput = (props: Props) => {
       <Flex gap={2} justifyContent={'space-between'} alignItems={'center'}>
         {label && (
           <FormLabel marginBottom={1}>
-            <Text fontSize={fontSize} whiteSpace='nowrap'>
+            <Text fontSize={fontSize} whiteSpace="nowrap">
               {label}
             </Text>
           </FormLabel>
@@ -42,7 +45,7 @@ const SDNumberInput = (props: Props) => {
           keepWithinRange={false}
           clampValueOnBlur={true}
         >
-          <NumberInputField fontSize={'md'}/>
+          <NumberInputField fontSize={'md'} />
           <NumberInputStepper>
             <NumberIncrementStepper />
             <NumberDecrementStepper />
diff --git a/frontend/src/components/SDSelect.tsx b/frontend/src/components/SDSelect.tsx
index 0ab095e61c..09f7c0f040 100644
--- a/frontend/src/components/SDSelect.tsx
+++ b/frontend/src/components/SDSelect.tsx
@@ -1,57 +1,56 @@
 import {
-    Flex,
-    FormControl,
-    FormLabel,
-    Select,
-    SelectProps,
-    Text,
+  Flex,
+  FormControl,
+  FormLabel,
+  Select,
+  SelectProps,
+  Text,
 } from '@chakra-ui/react';
 
 interface Props extends SelectProps {
-    label: string;
-    validValues:
-        | Array<number | string>
-        | Array<{ key: string; value: string | number }>;
+  label: string;
+  validValues:
+    | Array<number | string>
+    | Array<{ key: string; value: string | number }>;
 }
-
+/**
+ * Customized Chakra FormControl + Select multi-part component.
+ */
 const SDSelect = (props: Props) => {
-    const {
-        label,
-        isDisabled,
-        validValues,
-        size = 'sm',
-        fontSize = 'md',
-        marginBottom = 1,
-        whiteSpace = 'nowrap',
-        ...rest
-    } = props;
-    return (
-        <FormControl isDisabled={isDisabled}>
-            <Flex justifyContent={'space-between'} alignItems={'center'}>
-                <FormLabel
-                    marginBottom={marginBottom}
-                >
-                    <Text fontSize={fontSize} whiteSpace={whiteSpace}>
-                        {label}
-                    </Text>
-                </FormLabel>
-                <Select fontSize={fontSize} size={size} {...rest}>
-                    {validValues.map((opt) => {
-                        return typeof opt === 'string' ||
-                            typeof opt === 'number' ? (
-                            <option key={opt} value={opt}>
-                                {opt}
-                            </option>
-                        ) : (
-                            <option key={opt.value} value={opt.value}>
-                                {opt.key}
-                            </option>
-                        );
-                    })}
-                </Select>
-            </Flex>
-        </FormControl>
-    );
+  const {
+    label,
+    isDisabled,
+    validValues,
+    size = 'sm',
+    fontSize = 'md',
+    marginBottom = 1,
+    whiteSpace = 'nowrap',
+    ...rest
+  } = props;
+  return (
+    <FormControl isDisabled={isDisabled}>
+      <Flex justifyContent={'space-between'} alignItems={'center'}>
+        <FormLabel marginBottom={marginBottom}>
+          <Text fontSize={fontSize} whiteSpace={whiteSpace}>
+            {label}
+          </Text>
+        </FormLabel>
+        <Select fontSize={fontSize} size={size} {...rest}>
+          {validValues.map((opt) => {
+            return typeof opt === 'string' || typeof opt === 'number' ? (
+              <option key={opt} value={opt}>
+                {opt}
+              </option>
+            ) : (
+              <option key={opt.value} value={opt.value}>
+                {opt.key}
+              </option>
+            );
+          })}
+        </Select>
+      </Flex>
+    </FormControl>
+  );
 };
 
 export default SDSelect;
diff --git a/frontend/src/components/SDSwitch.tsx b/frontend/src/components/SDSwitch.tsx
index df2b811a2b..32c106041e 100644
--- a/frontend/src/components/SDSwitch.tsx
+++ b/frontend/src/components/SDSwitch.tsx
@@ -11,6 +11,9 @@ interface Props extends SwitchProps {
   width?: string | number;
 }
 
+/**
+ * Customized Chakra FormControl + Switch multi-part component.
+ */
 const SDSwitch = (props: Props) => {
   const {
     label,
@@ -28,7 +31,7 @@ const SDSwitch = (props: Props) => {
             fontSize={fontSize}
             marginBottom={1}
             flexGrow={2}
-            whiteSpace='nowrap'
+            whiteSpace="nowrap"
           >
             {label}
           </FormLabel>
diff --git a/frontend/src/features/gallery/CurrentImage.tsx b/frontend/src/features/gallery/CurrentImage.tsx
deleted file mode 100644
index e2698dd09d..0000000000
--- a/frontend/src/features/gallery/CurrentImage.tsx
+++ /dev/null
@@ -1,161 +0,0 @@
-import { Center, Flex, Image, useColorModeValue } from '@chakra-ui/react';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
-import { RootState } from '../../app/store';
-import { setAllParameters, setInitialImagePath, setSeed } from '../sd/sdSlice';
-import { useState } from 'react';
-import ImageMetadataViewer from './ImageMetadataViewer';
-import DeleteImageModalButton from './DeleteImageModalButton';
-import SDButton from '../../components/SDButton';
-import { runESRGAN, runGFPGAN } from '../../app/socketio';
-import { createSelector } from '@reduxjs/toolkit';
-import { SystemState } from '../system/systemSlice';
-import { isEqual } from 'lodash';
-
-const height = 'calc(100vh - 238px)';
-
-const systemSelector = createSelector(
-    (state: RootState) => state.system,
-    (system: SystemState) => {
-        return {
-            isProcessing: system.isProcessing,
-            isConnected: system.isConnected,
-            isGFPGANAvailable: system.isGFPGANAvailable,
-            isESRGANAvailable: system.isESRGANAvailable,
-        };
-    },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
-);
-
-const CurrentImage = () => {
-    const { currentImage, intermediateImage } = useAppSelector(
-        (state: RootState) => state.gallery
-    );
-    const { isProcessing, isConnected, isGFPGANAvailable, isESRGANAvailable } =
-        useAppSelector(systemSelector);
-
-    const dispatch = useAppDispatch();
-
-    const bgColor = useColorModeValue(
-        'rgba(255, 255, 255, 0.85)',
-        'rgba(0, 0, 0, 0.8)'
-    );
-
-    const [shouldShowImageDetails, setShouldShowImageDetails] =
-        useState<boolean>(false);
-
-    const imageToDisplay = intermediateImage || currentImage;
-
-    return (
-        <Flex direction={'column'} rounded={'md'} borderWidth={1} p={2} gap={2}>
-            {imageToDisplay && (
-                <Flex gap={2}>
-                    <SDButton
-                        label='Use as initial image'
-                        colorScheme={'gray'}
-                        flexGrow={1}
-                        variant={'outline'}
-                        onClick={() =>
-                            dispatch(setInitialImagePath(imageToDisplay.url))
-                        }
-                    />
-
-                    <SDButton
-                        label='Use all'
-                        colorScheme={'gray'}
-                        flexGrow={1}
-                        variant={'outline'}
-                        onClick={() =>
-                            dispatch(setAllParameters(imageToDisplay.metadata))
-                        }
-                    />
-
-                    <SDButton
-                        label='Use seed'
-                        colorScheme={'gray'}
-                        flexGrow={1}
-                        variant={'outline'}
-                        isDisabled={!imageToDisplay.metadata.seed}
-                        onClick={() =>
-                            dispatch(setSeed(imageToDisplay.metadata.seed!))
-                        }
-                    />
-
-                    <SDButton
-                        label='Upscale'
-                        colorScheme={'gray'}
-                        flexGrow={1}
-                        variant={'outline'}
-                        isDisabled={
-                            !isESRGANAvailable ||
-                            Boolean(intermediateImage) ||
-                            !(isConnected && !isProcessing)
-                        }
-                        onClick={() => dispatch(runESRGAN(imageToDisplay))}
-                    />
-                    <SDButton
-                        label='Fix faces'
-                        colorScheme={'gray'}
-                        flexGrow={1}
-                        variant={'outline'}
-                        isDisabled={
-                            !isGFPGANAvailable ||
-                            Boolean(intermediateImage) ||
-                            !(isConnected && !isProcessing)
-                        }
-                        onClick={() => dispatch(runGFPGAN(imageToDisplay))}
-                    />
-                    <SDButton
-                        label='Details'
-                        colorScheme={'gray'}
-                        variant={shouldShowImageDetails ? 'solid' : 'outline'}
-                        borderWidth={1}
-                        flexGrow={1}
-                        onClick={() =>
-                            setShouldShowImageDetails(!shouldShowImageDetails)
-                        }
-                    />
-                    <DeleteImageModalButton image={imageToDisplay}>
-                        <SDButton
-                            label='Delete'
-                            colorScheme={'red'}
-                            flexGrow={1}
-                            variant={'outline'}
-                            isDisabled={Boolean(intermediateImage)}
-                        />
-                    </DeleteImageModalButton>
-                </Flex>
-            )}
-            <Center height={height} position={'relative'}>
-                {imageToDisplay && (
-                    <Image
-                        src={imageToDisplay.url}
-                        fit='contain'
-                        maxWidth={'100%'}
-                        maxHeight={'100%'}
-                    />
-                )}
-                {imageToDisplay && shouldShowImageDetails && (
-                    <Flex
-                        width={'100%'}
-                        height={'100%'}
-                        position={'absolute'}
-                        top={0}
-                        left={0}
-                        p={3}
-                        boxSizing='border-box'
-                        backgroundColor={bgColor}
-                        overflow='scroll'
-                    >
-                        <ImageMetadataViewer image={imageToDisplay} />
-                    </Flex>
-                )}
-            </Center>
-        </Flex>
-    );
-};
-
-export default CurrentImage;
diff --git a/frontend/src/features/gallery/CurrentImageButtons.tsx b/frontend/src/features/gallery/CurrentImageButtons.tsx
new file mode 100644
index 0000000000..3da4f30a80
--- /dev/null
+++ b/frontend/src/features/gallery/CurrentImageButtons.tsx
@@ -0,0 +1,141 @@
+import { Flex } from '@chakra-ui/react';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import { setAllParameters, setInitialImagePath, setSeed } from '../sd/sdSlice';
+import DeleteImageModal from './DeleteImageModal';
+import SDButton from '../../components/SDButton';
+import { runESRGAN, runGFPGAN } from '../../app/socketio';
+import { createSelector } from '@reduxjs/toolkit';
+import { SystemState } from '../system/systemSlice';
+import { isEqual } from 'lodash';
+import { SDImage } from './gallerySlice';
+
+const systemSelector = createSelector(
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    return {
+      isProcessing: system.isProcessing,
+      isConnected: system.isConnected,
+      isGFPGANAvailable: system.isGFPGANAvailable,
+      isESRGANAvailable: system.isESRGANAvailable,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
+    },
+  }
+);
+
+type CurrentImageButtonsProps = {
+  image: SDImage;
+  shouldShowImageDetails: boolean;
+  setShouldShowImageDetails: (b: boolean) => void;
+};
+
+/**
+ * Row of buttons for common actions:
+ * Use as init image, use all params, use seed, upscale, fix faces, details, delete.
+ */
+const CurrentImageButtons = ({
+  image,
+  shouldShowImageDetails,
+  setShouldShowImageDetails,
+}: CurrentImageButtonsProps) => {
+  const dispatch = useAppDispatch();
+  const { intermediateImage } = useAppSelector(
+    (state: RootState) => state.gallery
+  );
+  const { isProcessing, isConnected, isGFPGANAvailable, isESRGANAvailable } =
+    useAppSelector(systemSelector);
+
+  const handleClickUseAsInitialImage = () =>
+    dispatch(setInitialImagePath(image.url));
+
+  const handleClickUseAllParameters = () =>
+    dispatch(setAllParameters(image.metadata));
+
+  // Non-null assertion: this button is disabled if there is no seed.
+  // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
+  const handleClickUseSeed = () => dispatch(setSeed(image.metadata.seed!));
+
+  const handleClickUpscale = () => dispatch(runESRGAN(image));
+
+  const handleClickFixFaces = () => dispatch(runGFPGAN(image));
+
+  const handleClickShowImageDetails = () =>
+    setShouldShowImageDetails(!shouldShowImageDetails);
+
+  return (
+    <Flex gap={2}>
+      <SDButton
+        label="Use as initial image"
+        colorScheme={'gray'}
+        flexGrow={1}
+        variant={'outline'}
+        onClick={handleClickUseAsInitialImage}
+      />
+
+      <SDButton
+        label="Use all"
+        colorScheme={'gray'}
+        flexGrow={1}
+        variant={'outline'}
+        onClick={handleClickUseAllParameters}
+      />
+
+      <SDButton
+        label="Use seed"
+        colorScheme={'gray'}
+        flexGrow={1}
+        variant={'outline'}
+        isDisabled={!image.metadata.seed}
+        onClick={handleClickUseSeed}
+      />
+
+      <SDButton
+        label="Upscale"
+        colorScheme={'gray'}
+        flexGrow={1}
+        variant={'outline'}
+        isDisabled={
+          !isESRGANAvailable ||
+          Boolean(intermediateImage) ||
+          !(isConnected && !isProcessing)
+        }
+        onClick={handleClickUpscale}
+      />
+      <SDButton
+        label="Fix faces"
+        colorScheme={'gray'}
+        flexGrow={1}
+        variant={'outline'}
+        isDisabled={
+          !isGFPGANAvailable ||
+          Boolean(intermediateImage) ||
+          !(isConnected && !isProcessing)
+        }
+        onClick={handleClickFixFaces}
+      />
+      <SDButton
+        label="Details"
+        colorScheme={'gray'}
+        variant={shouldShowImageDetails ? 'solid' : 'outline'}
+        borderWidth={1}
+        flexGrow={1}
+        onClick={handleClickShowImageDetails}
+      />
+      <DeleteImageModal image={image}>
+        <SDButton
+          label="Delete"
+          colorScheme={'red'}
+          flexGrow={1}
+          variant={'outline'}
+          isDisabled={Boolean(intermediateImage)}
+        />
+      </DeleteImageModal>
+    </Flex>
+  );
+};
+
+export default CurrentImageButtons;
diff --git a/frontend/src/features/gallery/CurrentImageDisplay.tsx b/frontend/src/features/gallery/CurrentImageDisplay.tsx
new file mode 100644
index 0000000000..98fa174239
--- /dev/null
+++ b/frontend/src/features/gallery/CurrentImageDisplay.tsx
@@ -0,0 +1,67 @@
+import { Center, Flex, Image, Text, useColorModeValue } from '@chakra-ui/react';
+import { useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import { useState } from 'react';
+import ImageMetadataViewer from './ImageMetadataViewer';
+import CurrentImageButtons from './CurrentImageButtons';
+
+// TODO: With CSS Grid I had a hard time centering the image in a grid item. This is needed for that.
+const height = 'calc(100vh - 238px)';
+
+/**
+ * Displays the current image if there is one, plus associated actions.
+ */
+const CurrentImageDisplay = () => {
+  const { currentImage, intermediateImage } = useAppSelector(
+    (state: RootState) => state.gallery
+  );
+
+  const bgColor = useColorModeValue(
+    'rgba(255, 255, 255, 0.85)',
+    'rgba(0, 0, 0, 0.8)'
+  );
+
+  const [shouldShowImageDetails, setShouldShowImageDetails] =
+    useState<boolean>(false);
+
+  const imageToDisplay = intermediateImage || currentImage;
+
+  return imageToDisplay ? (
+    <Flex direction={'column'} borderWidth={1} rounded={'md'} p={2} gap={2}>
+      <CurrentImageButtons
+        image={imageToDisplay}
+        shouldShowImageDetails={shouldShowImageDetails}
+        setShouldShowImageDetails={setShouldShowImageDetails}
+      />
+      <Center height={height} position={'relative'}>
+        <Image
+          src={imageToDisplay.url}
+          fit="contain"
+          maxWidth={'100%'}
+          maxHeight={'100%'}
+        />
+        {shouldShowImageDetails && (
+          <Flex
+            width={'100%'}
+            height={'100%'}
+            position={'absolute'}
+            top={0}
+            left={0}
+            p={3}
+            boxSizing="border-box"
+            backgroundColor={bgColor}
+            overflow="scroll"
+          >
+            <ImageMetadataViewer image={imageToDisplay} />
+          </Flex>
+        )}
+      </Center>
+    </Flex>
+  ) : (
+    <Center height={'100%'} position={'relative'}>
+      <Text size={'xl'}>No image selected</Text>
+    </Center>
+  );
+};
+
+export default CurrentImageDisplay;
diff --git a/frontend/src/features/gallery/DeleteImageModal.tsx b/frontend/src/features/gallery/DeleteImageModal.tsx
new file mode 100644
index 0000000000..7b6bc7103a
--- /dev/null
+++ b/frontend/src/features/gallery/DeleteImageModal.tsx
@@ -0,0 +1,121 @@
+import {
+  Text,
+  AlertDialog,
+  AlertDialogBody,
+  AlertDialogFooter,
+  AlertDialogHeader,
+  AlertDialogContent,
+  AlertDialogOverlay,
+  useDisclosure,
+  Button,
+  Switch,
+  FormControl,
+  FormLabel,
+  Flex,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import {
+  ChangeEvent,
+  cloneElement,
+  ReactElement,
+  SyntheticEvent,
+  useRef,
+} from 'react';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { deleteImage } from '../../app/socketio';
+import { RootState } from '../../app/store';
+import { setShouldConfirmOnDelete, SystemState } from '../system/systemSlice';
+import { SDImage } from './gallerySlice';
+
+interface DeleteImageModalProps {
+  /**
+   *  Component which, on click, should delete the image/open the modal.
+   */
+  children: ReactElement;
+  /**
+   * The image to delete.
+   */
+  image: SDImage;
+}
+
+const systemSelector = createSelector(
+  (state: RootState) => state.system,
+  (system: SystemState) => system.shouldConfirmOnDelete
+);
+
+/**
+ * Needs a child, which will act as the button to delete an image.
+ * If system.shouldConfirmOnDelete is true, a confirmation modal is displayed.
+ * If it is false, the image is deleted immediately.
+ * The confirmation modal has a "Don't ask me again" switch to set the boolean.
+ */
+const DeleteImageModal = ({ image, children }: DeleteImageModalProps) => {
+  const { isOpen, onOpen, onClose } = useDisclosure();
+  const dispatch = useAppDispatch();
+  const shouldConfirmOnDelete = useAppSelector(systemSelector);
+  const cancelRef = useRef<HTMLButtonElement>(null);
+
+  const handleClickDelete = (e: SyntheticEvent) => {
+    e.stopPropagation();
+    shouldConfirmOnDelete ? onOpen() : handleDelete();
+  };
+
+  const handleDelete = () => {
+    dispatch(deleteImage(image));
+    onClose();
+  };
+
+  const handleChangeShouldConfirmOnDelete = (
+    e: ChangeEvent<HTMLInputElement>
+  ) => dispatch(setShouldConfirmOnDelete(!e.target.checked));
+
+  return (
+    <>
+      {cloneElement(children, {
+        // TODO: This feels wrong.
+        onClick: handleClickDelete,
+      })}
+
+      <AlertDialog
+        isOpen={isOpen}
+        leastDestructiveRef={cancelRef}
+        onClose={onClose}
+      >
+        <AlertDialogOverlay>
+          <AlertDialogContent>
+            <AlertDialogHeader fontSize="lg" fontWeight="bold">
+              Delete image
+            </AlertDialogHeader>
+
+            <AlertDialogBody>
+              <Flex direction={'column'} gap={5}>
+                <Text>
+                  Are you sure? You can't undo this action afterwards.
+                </Text>
+                <FormControl>
+                  <Flex alignItems={'center'}>
+                    <FormLabel mb={0}>Don't ask me again</FormLabel>
+                    <Switch
+                      checked={!shouldConfirmOnDelete}
+                      onChange={handleChangeShouldConfirmOnDelete}
+                    />
+                  </Flex>
+                </FormControl>
+              </Flex>
+            </AlertDialogBody>
+            <AlertDialogFooter>
+              <Button ref={cancelRef} onClick={onClose}>
+                Cancel
+              </Button>
+              <Button colorScheme="red" onClick={handleDelete} ml={3}>
+                Delete
+              </Button>
+            </AlertDialogFooter>
+          </AlertDialogContent>
+        </AlertDialogOverlay>
+      </AlertDialog>
+    </>
+  );
+};
+
+export default DeleteImageModal;
diff --git a/frontend/src/features/gallery/DeleteImageModalButton.tsx b/frontend/src/features/gallery/DeleteImageModalButton.tsx
deleted file mode 100644
index eca53c8e9f..0000000000
--- a/frontend/src/features/gallery/DeleteImageModalButton.tsx
+++ /dev/null
@@ -1,94 +0,0 @@
-import {
-  IconButtonProps,
-  Modal,
-  ModalBody,
-  ModalCloseButton,
-  ModalContent,
-  ModalFooter,
-  ModalHeader,
-  ModalOverlay,
-  Text,
-  useDisclosure,
-} from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import {
-  cloneElement,
-  ReactElement,
-  SyntheticEvent,
-} from 'react';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
-import { deleteImage } from '../../app/socketio';
-import { RootState } from '../../app/store';
-import SDButton from '../../components/SDButton';
-import { setShouldConfirmOnDelete, SystemState } from '../system/systemSlice';
-import { SDImage } from './gallerySlice';
-
-interface Props extends IconButtonProps {
-  image: SDImage;
-  'aria-label': string;
-  children: ReactElement;
-}
-
-const systemSelector = createSelector(
-  (state: RootState) => state.system,
-  (system: SystemState) => system.shouldConfirmOnDelete
-);
-
-/*
-TODO: The modal and button to open it should be two different components,
-but their state is closely related and I'm not sure how best to accomplish it.
-*/
-const DeleteImageModalButton = (props: Omit<Props, 'aria-label'>) => {
-  const { isOpen, onOpen, onClose } = useDisclosure();
-  const dispatch = useAppDispatch();
-  const shouldConfirmOnDelete = useAppSelector(systemSelector);
-
-  const handleClickDelete = (e: SyntheticEvent) => {
-    e.stopPropagation();
-    shouldConfirmOnDelete ? onOpen() : handleDelete();
-  };
-
-  const { image, children } = props;
-
-  const handleDelete = () => {
-    dispatch(deleteImage(image));
-    onClose();
-  };
-
-  const handleDeleteAndDontAsk = () => {
-    dispatch(deleteImage(image));
-    dispatch(setShouldConfirmOnDelete(false));
-    onClose();
-  };
-
-  return (
-    <>
-      {cloneElement(children, {
-        onClick: handleClickDelete,
-      })}
-
-      <Modal isOpen={isOpen} onClose={onClose}>
-        <ModalOverlay />
-        <ModalContent>
-          <ModalHeader>Are you sure you want to delete this image?</ModalHeader>
-          <ModalCloseButton />
-          <ModalBody>
-            <Text>It will be deleted forever!</Text>
-          </ModalBody>
-
-          <ModalFooter justifyContent={'space-between'}>
-            <SDButton label={'Yes'} colorScheme='red' onClick={handleDelete} />
-            <SDButton
-              label={"Yes, and don't ask me again"}
-              colorScheme='red'
-              onClick={handleDeleteAndDontAsk}
-            />
-            <SDButton label='Cancel' colorScheme='blue' onClick={onClose} />
-          </ModalFooter>
-        </ModalContent>
-      </Modal>
-    </>
-  );
-};
-
-export default DeleteImageModalButton;
diff --git a/frontend/src/features/gallery/HoverableImage.tsx b/frontend/src/features/gallery/HoverableImage.tsx
new file mode 100644
index 0000000000..9733d3064d
--- /dev/null
+++ b/frontend/src/features/gallery/HoverableImage.tsx
@@ -0,0 +1,131 @@
+import {
+  Box,
+  Flex,
+  Icon,
+  IconButton,
+  Image,
+  useColorModeValue,
+} from '@chakra-ui/react';
+import { useAppDispatch } from '../../app/hooks';
+import { SDImage, setCurrentImage } from './gallerySlice';
+import { FaCheck, FaCopy, FaSeedling, FaTrash } from 'react-icons/fa';
+import DeleteImageModal from './DeleteImageModal';
+import { memo, SyntheticEvent, useState } from 'react';
+import { setAllParameters, setSeed } from '../sd/sdSlice';
+
+interface HoverableImageProps {
+  image: SDImage;
+  isSelected: boolean;
+}
+
+const memoEqualityCheck = (
+  prev: HoverableImageProps,
+  next: HoverableImageProps
+) => prev.image.uuid === next.image.uuid && prev.isSelected === next.isSelected;
+
+/**
+ * Gallery image component with delete/use all/use seed buttons on hover.
+ */
+const HoverableImage = memo((props: HoverableImageProps) => {
+  const [isHovered, setIsHovered] = useState<boolean>(false);
+  const dispatch = useAppDispatch();
+
+  const checkColor = useColorModeValue('green.600', 'green.300');
+  const bgColor = useColorModeValue('gray.200', 'gray.700');
+  const bgGradient = useColorModeValue(
+    'radial-gradient(circle, rgba(255,255,255,0.7) 0%, rgba(255,255,255,0.7) 20%, rgba(0,0,0,0) 100%)',
+    'radial-gradient(circle, rgba(0,0,0,0.7) 0%, rgba(0,0,0,0.7) 20%, rgba(0,0,0,0) 100%)'
+  );
+
+  const { image, isSelected } = props;
+  const { url, uuid, metadata } = image;
+
+  const handleMouseOver = () => setIsHovered(true);
+  const handleMouseOut = () => setIsHovered(false);
+
+  const handleClickSetAllParameters = (e: SyntheticEvent) => {
+    e.stopPropagation();
+    dispatch(setAllParameters(metadata));
+  };
+
+  const handleClickSetSeed = (e: SyntheticEvent) => {
+    e.stopPropagation();
+    // Non-null assertion: this button is not rendered unless this exists
+    // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
+    dispatch(setSeed(image.metadata.seed!));
+  };
+
+  const handleClickImage = () => dispatch(setCurrentImage(image));
+
+  return (
+    <Box position={'relative'} key={uuid}>
+      <Image
+        width={120}
+        height={120}
+        objectFit="cover"
+        rounded={'md'}
+        src={url}
+        loading={'lazy'}
+        backgroundColor={bgColor}
+      />
+      <Flex
+        cursor={'pointer'}
+        position={'absolute'}
+        top={0}
+        left={0}
+        rounded={'md'}
+        width="100%"
+        height="100%"
+        alignItems={'center'}
+        justifyContent={'center'}
+        background={isSelected ? bgGradient : undefined}
+        onClick={handleClickImage}
+        onMouseOver={handleMouseOver}
+        onMouseOut={handleMouseOut}
+      >
+        {isSelected && (
+          <Icon fill={checkColor} width={'50%'} height={'50%'} as={FaCheck} />
+        )}
+        {isHovered && (
+          <Flex
+            direction={'column'}
+            gap={1}
+            position={'absolute'}
+            top={1}
+            right={1}
+          >
+            <DeleteImageModal image={image}>
+              <IconButton
+                colorScheme="red"
+                aria-label="Delete image"
+                icon={<FaTrash />}
+                size="xs"
+                fontSize={15}
+              />
+            </DeleteImageModal>
+            <IconButton
+              aria-label="Use all parameters"
+              colorScheme={'blue'}
+              icon={<FaCopy />}
+              size="xs"
+              fontSize={15}
+              onClickCapture={handleClickSetAllParameters}
+            />
+            {image.metadata.seed && (
+              <IconButton
+                aria-label="Use seed"
+                colorScheme={'blue'}
+                icon={<FaSeedling />}
+                size="xs"
+                fontSize={16}
+                onClickCapture={handleClickSetSeed}
+              />
+            )}
+          </Flex>
+        )}
+      </Flex>
+    </Box>
+  );
+}, memoEqualityCheck);
+
+export default HoverableImage;
diff --git a/frontend/src/features/gallery/ImageGallery.tsx b/frontend/src/features/gallery/ImageGallery.tsx
new file mode 100644
index 0000000000..907303784d
--- /dev/null
+++ b/frontend/src/features/gallery/ImageGallery.tsx
@@ -0,0 +1,35 @@
+import { Flex } from '@chakra-ui/react';
+import { RootState } from '../../app/store';
+import { useAppSelector } from '../../app/hooks';
+import HoverableImage from './HoverableImage';
+
+/**
+ * Simple image gallery.
+ */
+const ImageGallery = () => {
+  const { images, currentImageUuid } = useAppSelector(
+    (state: RootState) => state.gallery
+  );
+
+  /**
+   * I don't like that this needs to rerender whenever the current image is changed.
+   * What if we have a large number of images? I suppose pagination (planned) will
+   * mitigate this issue.
+   *
+   * TODO: Refactor if performance complaints, or after migrating to new API which supports pagination.
+   */
+
+  return (
+    <Flex gap={2} wrap="wrap" pb={2}>
+      {[...images].reverse().map((image) => {
+        const { uuid } = image;
+        const isSelected = currentImageUuid === uuid;
+        return (
+          <HoverableImage key={uuid} image={image} isSelected={isSelected} />
+        );
+      })}
+    </Flex>
+  );
+};
+
+export default ImageGallery;
diff --git a/frontend/src/features/gallery/ImageMetadataViewer.tsx b/frontend/src/features/gallery/ImageMetadataViewer.tsx
index 3f051f59b6..bf5f2e5f9d 100644
--- a/frontend/src/features/gallery/ImageMetadataViewer.tsx
+++ b/frontend/src/features/gallery/ImageMetadataViewer.tsx
@@ -1,12 +1,13 @@
 import {
-    Center,
-    Flex,
-    IconButton,
-    Link,
-    List,
-    ListItem,
-    Text,
+  Center,
+  Flex,
+  IconButton,
+  Link,
+  List,
+  ListItem,
+  Text,
 } from '@chakra-ui/react';
+import { memo } from 'react';
 import { FaPlus } from 'react-icons/fa';
 import { PARAMETERS } from '../../app/constants';
 import { useAppDispatch } from '../../app/hooks';
@@ -14,111 +15,120 @@ import SDButton from '../../components/SDButton';
 import { setAllParameters, setParameter } from '../sd/sdSlice';
 import { SDImage, SDMetadata } from './gallerySlice';
 
-type Props = {
-    image: SDImage;
+type ImageMetadataViewerProps = {
+  image: SDImage;
 };
 
-const ImageMetadataViewer = ({ image }: Props) => {
-    const dispatch = useAppDispatch();
+// TODO: I don't know if this is needed.
+const memoEqualityCheck = (
+  prev: ImageMetadataViewerProps,
+  next: ImageMetadataViewerProps
+) => prev.image.uuid === next.image.uuid;
 
-    const keys = Object.keys(PARAMETERS);
+// TODO: Show more interesting information in this component.
 
-    const metadata: Array<{
-        label: string;
-        key: string;
-        value: string | number | boolean;
-    }> = [];
+/**
+ * Image metadata viewer overlays currently selected image and provides
+ * access to any of its metadata for use in processing.
+ */
+const ImageMetadataViewer = memo(({ image }: ImageMetadataViewerProps) => {
+  const dispatch = useAppDispatch();
 
-    keys.forEach((key) => {
-        const value = image.metadata[key as keyof SDMetadata];
-        if (value !== undefined) {
-            metadata.push({ label: PARAMETERS[key], key, value });
-        }
-    });
+  /**
+   * Build an array representing each item of metadata and a human-readable
+   * label for it e.g. "cfgScale" > "CFG Scale".
+   *
+   * This array is then used to render each item with a button to use that
+   * parameter in the processing settings.
+   *
+   * TODO: All this logic feels sloppy.
+   */
+  const keys = Object.keys(PARAMETERS);
 
-    return (
-        <Flex gap={2} direction={'column'} overflowY={'scroll'} width={'100%'}>
-            <SDButton
-                label='Use all parameters'
-                colorScheme={'gray'}
-                padding={2}
-                isDisabled={metadata.length === 0}
-                onClick={() => dispatch(setAllParameters(image.metadata))}
-            />
-            <Flex gap={2}>
-                <Text fontWeight={'semibold'}>File:</Text>
-                <Link href={image.url} isExternal>
-                    <Text>{image.url}</Text>
-                </Link>
-            </Flex>
-            {metadata.length ? (
-                <>
-                    <List>
-                        {metadata.map((parameter, i) => {
-                            const { label, key, value } = parameter;
-                            return (
-                                <ListItem key={i} pb={1}>
-                                    <Flex gap={2}>
-                                        <IconButton
-                                            aria-label='Use this parameter'
-                                            icon={<FaPlus />}
-                                            size={'xs'}
-                                            onClick={() =>
-                                                dispatch(
-                                                    setParameter({
-                                                        key,
-                                                        value,
-                                                    })
-                                                )
-                                            }
-                                        />
-                                        <Text fontWeight={'semibold'}>
-                                            {label}:
-                                        </Text>
+  const metadata: Array<{
+    label: string;
+    key: string;
+    value: string | number | boolean;
+  }> = [];
 
-                                        {value === undefined ||
-                                        value === null ||
-                                        value === '' ||
-                                        value === 0 ? (
-                                            <Text
-                                                maxHeight={100}
-                                                fontStyle={'italic'}
-                                            >
-                                                None
-                                            </Text>
-                                        ) : (
-                                            <Text
-                                                maxHeight={100}
-                                                overflowY={'scroll'}
-                                            >
-                                                {value.toString()}
-                                            </Text>
-                                        )}
-                                    </Flex>
-                                </ListItem>
-                            );
-                        })}
-                    </List>
-                    <Flex gap={2}>
-                        <Text fontWeight={'semibold'}>Raw:</Text>
-                        <Text
-                            maxHeight={100}
-                            overflowY={'scroll'}
-                            wordBreak={'break-all'}
-                        >
-                            {JSON.stringify(image.metadata)}
-                        </Text>
-                    </Flex>
-                </>
-            ) : (
-                <Center width={'100%'} pt={10}>
-                    <Text fontSize={'lg'} fontWeight='semibold'>
-                        No metadata available
-                    </Text>
-                </Center>
-            )}
-        </Flex>
-    );
-};
+  keys.forEach((key) => {
+    const value = image.metadata[key as keyof SDMetadata];
+    if (value !== undefined) {
+      metadata.push({ label: PARAMETERS[key], key, value });
+    }
+  });
+
+  return (
+    <Flex gap={2} direction={'column'} overflowY={'scroll'} width={'100%'}>
+      <SDButton
+        label="Use all parameters"
+        colorScheme={'gray'}
+        padding={2}
+        isDisabled={metadata.length === 0}
+        onClick={() => dispatch(setAllParameters(image.metadata))}
+      />
+      <Flex gap={2}>
+        <Text fontWeight={'semibold'}>File:</Text>
+        <Link href={image.url} isExternal>
+          <Text>{image.url}</Text>
+        </Link>
+      </Flex>
+      {metadata.length ? (
+        <>
+          <List>
+            {metadata.map((parameter, i) => {
+              const { label, key, value } = parameter;
+              return (
+                <ListItem key={i} pb={1}>
+                  <Flex gap={2}>
+                    <IconButton
+                      aria-label="Use this parameter"
+                      icon={<FaPlus />}
+                      size={'xs'}
+                      onClick={() =>
+                        dispatch(
+                          setParameter({
+                            key,
+                            value,
+                          })
+                        )
+                      }
+                    />
+                    <Text fontWeight={'semibold'}>{label}:</Text>
+
+                    {value === undefined ||
+                    value === null ||
+                    value === '' ||
+                    value === 0 ? (
+                      <Text maxHeight={100} fontStyle={'italic'}>
+                        None
+                      </Text>
+                    ) : (
+                      <Text maxHeight={100} overflowY={'scroll'}>
+                        {value.toString()}
+                      </Text>
+                    )}
+                  </Flex>
+                </ListItem>
+              );
+            })}
+          </List>
+          <Flex gap={2}>
+            <Text fontWeight={'semibold'}>Raw:</Text>
+            <Text maxHeight={100} overflowY={'scroll'} wordBreak={'break-all'}>
+              {JSON.stringify(image.metadata)}
+            </Text>
+          </Flex>
+        </>
+      ) : (
+        <Center width={'100%'} pt={10}>
+          <Text fontSize={'lg'} fontWeight="semibold">
+            No metadata available
+          </Text>
+        </Center>
+      )}
+    </Flex>
+  );
+}, memoEqualityCheck);
 
 export default ImageMetadataViewer;
diff --git a/frontend/src/features/gallery/ImageRoll.tsx b/frontend/src/features/gallery/ImageRoll.tsx
deleted file mode 100644
index b624db3aaa..0000000000
--- a/frontend/src/features/gallery/ImageRoll.tsx
+++ /dev/null
@@ -1,150 +0,0 @@
-import {
-    Box,
-    Flex,
-    Icon,
-    IconButton,
-    Image,
-    useColorModeValue,
-} from '@chakra-ui/react';
-import { RootState } from '../../app/store';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
-import { SDImage, setCurrentImage } from './gallerySlice';
-import { FaCheck, FaCopy, FaSeedling, FaTrash } from 'react-icons/fa';
-import DeleteImageModalButton from './DeleteImageModalButton';
-import { memo, SyntheticEvent, useState } from 'react';
-import { setAllParameters, setSeed } from '../sd/sdSlice';
-
-interface HoverableImageProps {
-    image: SDImage;
-    isSelected: boolean;
-}
-
-const HoverableImage = memo(
-    (props: HoverableImageProps) => {
-        const [isHovered, setIsHovered] = useState<boolean>(false);
-        const dispatch = useAppDispatch();
-
-        const checkColor = useColorModeValue('green.600', 'green.300');
-        const bgColor = useColorModeValue('gray.200', 'gray.700');
-        const bgGradient = useColorModeValue(
-            'radial-gradient(circle, rgba(255,255,255,0.7) 0%, rgba(255,255,255,0.7) 20%, rgba(0,0,0,0) 100%)',
-            'radial-gradient(circle, rgba(0,0,0,0.7) 0%, rgba(0,0,0,0.7) 20%, rgba(0,0,0,0) 100%)'
-        );
-
-        const { image, isSelected } = props;
-        const { url, uuid, metadata } = image;
-
-        const handleMouseOver = () => setIsHovered(true);
-        const handleMouseOut = () => setIsHovered(false);
-        const handleClickSetAllParameters = (e: SyntheticEvent) => {
-            e.stopPropagation();
-            dispatch(setAllParameters(metadata));
-        };
-        const handleClickSetSeed = (e: SyntheticEvent) => {
-            e.stopPropagation();
-            dispatch(setSeed(image.metadata.seed!)); // component not rendered unless this exists
-        };
-
-        return (
-            <Box position={'relative'} key={uuid}>
-                <Image
-                    width={120}
-                    height={120}
-                    objectFit='cover'
-                    rounded={'md'}
-                    src={url}
-                    loading={'lazy'}
-                    backgroundColor={bgColor}
-                />
-                <Flex
-                    cursor={'pointer'}
-                    position={'absolute'}
-                    top={0}
-                    left={0}
-                    rounded={'md'}
-                    width='100%'
-                    height='100%'
-                    alignItems={'center'}
-                    justifyContent={'center'}
-                    background={isSelected ? bgGradient : undefined}
-                    onClick={() => dispatch(setCurrentImage(image))}
-                    onMouseOver={handleMouseOver}
-                    onMouseOut={handleMouseOut}
-                >
-                    {isSelected && (
-                        <Icon
-                            fill={checkColor}
-                            width={'50%'}
-                            height={'50%'}
-                            as={FaCheck}
-                        />
-                    )}
-                    {isHovered && (
-                        <Flex
-                            direction={'column'}
-                            gap={1}
-                            position={'absolute'}
-                            top={1}
-                            right={1}
-                        >
-                            <DeleteImageModalButton image={image}>
-                                <IconButton
-                                    colorScheme='red'
-                                    aria-label='Delete image'
-                                    icon={<FaTrash />}
-                                    size='xs'
-                                    fontSize={15}
-                                />
-                            </DeleteImageModalButton>
-                            <IconButton
-                                aria-label='Use all parameters'
-                                colorScheme={'blue'}
-                                icon={<FaCopy />}
-                                size='xs'
-                                fontSize={15}
-                                onClickCapture={handleClickSetAllParameters}
-                            />
-                            {image.metadata.seed && (
-                                <IconButton
-                                    aria-label='Use seed'
-                                    colorScheme={'blue'}
-                                    icon={<FaSeedling />}
-                                    size='xs'
-                                    fontSize={16}
-                                    onClickCapture={handleClickSetSeed}
-                                />
-                            )}
-                        </Flex>
-                    )}
-                </Flex>
-            </Box>
-        );
-    },
-    (prev, next) =>
-        prev.image.uuid === next.image.uuid &&
-        prev.isSelected === next.isSelected
-);
-
-const ImageRoll = () => {
-    const { images, currentImageUuid } = useAppSelector(
-        (state: RootState) => state.gallery
-    );
-
-    return (
-        <Flex gap={2} wrap='wrap' pb={2}>
-            {[...images].reverse().map((image) => {
-                const { uuid } = image;
-                const isSelected = currentImageUuid === uuid;
-                return (
-                    <HoverableImage
-                        key={uuid}
-                        image={image}
-                        isSelected={isSelected}
-                    />
-                );
-            })}
-        </Flex>
-    );
-};
-
-export default ImageRoll;
diff --git a/frontend/src/features/header/SiteHeader.tsx b/frontend/src/features/header/SiteHeader.tsx
index f950eea2c0..2ece1378c6 100644
--- a/frontend/src/features/header/SiteHeader.tsx
+++ b/frontend/src/features/header/SiteHeader.tsx
@@ -27,24 +27,36 @@ const systemSelector = createSelector(
   }
 );
 
+/**
+ * Header, includes color mode toggle, settings button, status message.
+ */
 const SiteHeader = () => {
   const { colorMode, toggleColorMode } = useColorMode();
   const { isConnected } = useAppSelector(systemSelector);
 
+  const statusMessage = isConnected
+    ? `Connected to server`
+    : 'No connection to server';
+
+  const statusMessageTextColor = isConnected ? 'green.500' : 'red.500';
+
+  const colorModeIcon = colorMode == 'light' ? <FaMoon /> : <FaSun />;
+
+  // Make FaMoon and FaSun icon apparent size consistent
+  const colorModeIconFontSize = colorMode == 'light' ? 18 : 20;
+
   return (
-    <Flex minWidth='max-content' alignItems='center' gap='1' pl={2} pr={1}>
+    <Flex minWidth="max-content" alignItems="center" gap="1" pl={2} pr={1}>
       <Heading size={'lg'}>Stable Diffusion Dream Server</Heading>
 
       <Spacer />
 
-      <Text textColor={isConnected ? 'green.500' : 'red.500'}>
-        {isConnected ? `Connected to server` : 'No connection to server'}
-      </Text>
+      <Text textColor={statusMessageTextColor}>{statusMessage}</Text>
 
       <SettingsModal>
         <IconButton
-          aria-label='Settings'
-          variant='link'
+          aria-label="Settings"
+          variant="link"
           fontSize={24}
           size={'sm'}
           icon={<MdSettings />}
@@ -52,14 +64,14 @@ const SiteHeader = () => {
       </SettingsModal>
 
       <IconButton
-        aria-label='Link to Github Issues'
-        variant='link'
+        aria-label="Link to Github Issues"
+        variant="link"
         fontSize={23}
         size={'sm'}
         icon={
           <Link
             isExternal
-            href='http://github.com/lstein/stable-diffusion/issues'
+            href="http://github.com/lstein/stable-diffusion/issues"
           >
             <MdHelp />
           </Link>
@@ -67,24 +79,24 @@ const SiteHeader = () => {
       />
 
       <IconButton
-        aria-label='Link to Github Repo'
-        variant='link'
+        aria-label="Link to Github Repo"
+        variant="link"
         fontSize={20}
         size={'sm'}
         icon={
-          <Link isExternal href='http://github.com/lstein/stable-diffusion'>
+          <Link isExternal href="http://github.com/lstein/stable-diffusion">
             <FaGithub />
           </Link>
         }
       />
 
       <IconButton
-        aria-label='Toggle Dark Mode'
+        aria-label="Toggle Dark Mode"
         onClick={toggleColorMode}
-        variant='link'
+        variant="link"
         size={'sm'}
-        fontSize={colorMode == 'light' ? 18 : 20}
-        icon={colorMode == 'light' ? <FaMoon /> : <FaSun />}
+        fontSize={colorModeIconFontSize}
+        icon={colorModeIcon}
       />
     </Flex>
   );
diff --git a/frontend/src/features/sd/ESRGANOptions.tsx b/frontend/src/features/sd/ESRGANOptions.tsx
index 928215523b..b46632577e 100644
--- a/frontend/src/features/sd/ESRGANOptions.tsx
+++ b/frontend/src/features/sd/ESRGANOptions.tsx
@@ -4,10 +4,10 @@ import { RootState } from '../../app/store';
 import { useAppDispatch, useAppSelector } from '../../app/hooks';
 
 import {
-    setUpscalingLevel,
-    setUpscalingStrength,
-    UpscalingLevel,
-    SDState,
+  setUpscalingLevel,
+  setUpscalingStrength,
+  UpscalingLevel,
+  SDState,
 } from '../sd/sdSlice';
 
 import SDNumberInput from '../../components/SDNumberInput';
@@ -17,68 +17,71 @@ import { UPSCALING_LEVELS } from '../../app/constants';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { SystemState } from '../system/systemSlice';
+import { ChangeEvent } from 'react';
 
 const sdSelector = createSelector(
-    (state: RootState) => state.sd,
-    (sd: SDState) => {
-        return {
-            upscalingLevel: sd.upscalingLevel,
-            upscalingStrength: sd.upscalingStrength,
-        };
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      upscalingLevel: sd.upscalingLevel,
+      upscalingStrength: sd.upscalingStrength,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
 const systemSelector = createSelector(
-    (state: RootState) => state.system,
-    (system: SystemState) => {
-        return {
-            isESRGANAvailable: system.isESRGANAvailable,
-        };
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    return {
+      isESRGANAvailable: system.isESRGANAvailable,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
+
+/**
+ * Displays upscaling/ESRGAN options (level and strength).
+ */
 const ESRGANOptions = () => {
-    const { upscalingLevel, upscalingStrength } = useAppSelector(sdSelector);
+  const dispatch = useAppDispatch();
+  const { upscalingLevel, upscalingStrength } = useAppSelector(sdSelector);
+  const { isESRGANAvailable } = useAppSelector(systemSelector);
 
-    const { isESRGANAvailable } = useAppSelector(systemSelector);
+  const handleChangeLevel = (e: ChangeEvent<HTMLSelectElement>) =>
+    dispatch(setUpscalingLevel(Number(e.target.value) as UpscalingLevel));
 
-    const dispatch = useAppDispatch();
+  const handleChangeStrength = (v: string | number) =>
+    dispatch(setUpscalingStrength(Number(v)));
 
-    return (
-        <Flex direction={'column'} gap={2}>
-            <SDSelect
-                isDisabled={!isESRGANAvailable}
-                label='Scale'
-                value={upscalingLevel}
-                onChange={(e) =>
-                    dispatch(
-                        setUpscalingLevel(
-                            Number(e.target.value) as UpscalingLevel
-                        )
-                    )
-                }
-                validValues={UPSCALING_LEVELS}
-            />
-            <SDNumberInput
-                isDisabled={!isESRGANAvailable}
-                label='Strength'
-                step={0.05}
-                min={0}
-                max={1}
-                onChange={(v) => dispatch(setUpscalingStrength(Number(v)))}
-                value={upscalingStrength}
-            />
-        </Flex>
-    );
+  return (
+    <Flex direction={'column'} gap={2}>
+      <SDSelect
+        isDisabled={!isESRGANAvailable}
+        label="Scale"
+        value={upscalingLevel}
+        onChange={handleChangeLevel}
+        validValues={UPSCALING_LEVELS}
+      />
+      <SDNumberInput
+        isDisabled={!isESRGANAvailable}
+        label="Strength"
+        step={0.05}
+        min={0}
+        max={1}
+        onChange={handleChangeStrength}
+        value={upscalingStrength}
+      />
+    </Flex>
+  );
 };
 
 export default ESRGANOptions;
diff --git a/frontend/src/features/sd/GFPGANOptions.tsx b/frontend/src/features/sd/GFPGANOptions.tsx
index ae6a00de40..ba44d9671b 100644
--- a/frontend/src/features/sd/GFPGANOptions.tsx
+++ b/frontend/src/features/sd/GFPGANOptions.tsx
@@ -12,52 +12,57 @@ import { isEqual } from 'lodash';
 import { SystemState } from '../system/systemSlice';
 
 const sdSelector = createSelector(
-    (state: RootState) => state.sd,
-    (sd: SDState) => {
-        return {
-            gfpganStrength: sd.gfpganStrength,
-        };
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      gfpganStrength: sd.gfpganStrength,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
 const systemSelector = createSelector(
-    (state: RootState) => state.system,
-    (system: SystemState) => {
-        return {
-            isGFPGANAvailable: system.isGFPGANAvailable,
-        };
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    return {
+      isGFPGANAvailable: system.isGFPGANAvailable,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
+
+/**
+ * Displays face-fixing/GFPGAN options (strength).
+ */
 const GFPGANOptions = () => {
-    const { gfpganStrength } = useAppSelector(sdSelector);
+  const dispatch = useAppDispatch();
+  const { gfpganStrength } = useAppSelector(sdSelector);
+  const { isGFPGANAvailable } = useAppSelector(systemSelector);
 
-    const { isGFPGANAvailable } = useAppSelector(systemSelector);
+  const handleChangeStrength = (v: string | number) =>
+    dispatch(setGfpganStrength(Number(v)));
 
-    const dispatch = useAppDispatch();
-
-    return (
-        <Flex direction={'column'} gap={2}>
-            <SDNumberInput
-                isDisabled={!isGFPGANAvailable}
-                label='Strength'
-                step={0.05}
-                min={0}
-                max={1}
-                onChange={(v) => dispatch(setGfpganStrength(Number(v)))}
-                value={gfpganStrength}
-            />
-        </Flex>
-    );
+  return (
+    <Flex direction={'column'} gap={2}>
+      <SDNumberInput
+        isDisabled={!isGFPGANAvailable}
+        label="Strength"
+        step={0.05}
+        min={0}
+        max={1}
+        onChange={handleChangeStrength}
+        value={gfpganStrength}
+      />
+    </Flex>
+  );
 };
 
 export default GFPGANOptions;
diff --git a/frontend/src/features/sd/ImageToImageOptions.tsx b/frontend/src/features/sd/ImageToImageOptions.tsx
index 379a8d231c..2576144a93 100644
--- a/frontend/src/features/sd/ImageToImageOptions.tsx
+++ b/frontend/src/features/sd/ImageToImageOptions.tsx
@@ -1,54 +1,59 @@
 import { Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
+import { ChangeEvent } from 'react';
 import { useAppDispatch, useAppSelector } from '../../app/hooks';
 import { RootState } from '../../app/store';
 import SDNumberInput from '../../components/SDNumberInput';
 import SDSwitch from '../../components/SDSwitch';
-import InitImage from './InitImage';
+import InitAndMaskImage from './InitAndMaskImage';
 import {
-    SDState,
-    setImg2imgStrength,
-    setShouldFitToWidthHeight,
+  SDState,
+  setImg2imgStrength,
+  setShouldFitToWidthHeight,
 } from './sdSlice';
 
 const sdSelector = createSelector(
-    (state: RootState) => state.sd,
-    (sd: SDState) => {
-        return {
-            initialImagePath: sd.initialImagePath,
-            img2imgStrength: sd.img2imgStrength,
-            shouldFitToWidthHeight: sd.shouldFitToWidthHeight,
-        };
-    }
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      img2imgStrength: sd.img2imgStrength,
+      shouldFitToWidthHeight: sd.shouldFitToWidthHeight,
+    };
+  }
 );
 
+/**
+ * Options for img2img generation (strength, fit, init/mask upload).
+ */
 const ImageToImageOptions = () => {
-    const { initialImagePath, img2imgStrength, shouldFitToWidthHeight } =
-        useAppSelector(sdSelector);
+  const dispatch = useAppDispatch();
+  const { img2imgStrength, shouldFitToWidthHeight } =
+    useAppSelector(sdSelector);
 
-    const dispatch = useAppDispatch();
-    return (
-        <Flex direction={'column'} gap={2}>
-            <SDNumberInput
-                isDisabled={!initialImagePath}
-                label='Strength'
-                step={0.01}
-                min={0}
-                max={1}
-                onChange={(v) => dispatch(setImg2imgStrength(Number(v)))}
-                value={img2imgStrength}
-            />
-            <SDSwitch
-                isDisabled={!initialImagePath}
-                label='Fit initial image to output size'
-                isChecked={shouldFitToWidthHeight}
-                onChange={(e) =>
-                    dispatch(setShouldFitToWidthHeight(e.target.checked))
-                }
-            />
-            <InitImage />
-        </Flex>
-    );
+  const handleChangeStrength = (v: string | number) =>
+    dispatch(setImg2imgStrength(Number(v)));
+
+  const handleChangeFit = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldFitToWidthHeight(e.target.checked));
+
+  return (
+    <Flex direction={'column'} gap={2}>
+      <SDNumberInput
+        label="Strength"
+        step={0.01}
+        min={0}
+        max={1}
+        onChange={handleChangeStrength}
+        value={img2imgStrength}
+      />
+      <SDSwitch
+        label="Fit initial image to output size"
+        isChecked={shouldFitToWidthHeight}
+        onChange={handleChangeFit}
+      />
+      <InitAndMaskImage />
+    </Flex>
+  );
 };
 
 export default ImageToImageOptions;
diff --git a/frontend/src/features/sd/ImageUploader.tsx b/frontend/src/features/sd/ImageUploader.tsx
new file mode 100644
index 0000000000..688a63a68e
--- /dev/null
+++ b/frontend/src/features/sd/ImageUploader.tsx
@@ -0,0 +1,63 @@
+import { cloneElement, ReactElement, SyntheticEvent, useCallback } from 'react';
+import { FileRejection, useDropzone } from 'react-dropzone';
+
+type ImageUploaderProps = {
+  /**
+   *  Component which, on click, should open the upload interface.
+   */
+  children: ReactElement;
+  /**
+   * Callback to handle uploading the selected file.
+   */
+  fileAcceptedCallback: (file: File) => void;
+  /**
+   * Callback to handle a file being rejected.
+   */
+  fileRejectionCallback: (rejection: FileRejection) => void;
+};
+
+/**
+ * File upload using react-dropzone.
+ * Needs a child to be the button to activate the upload interface.
+ */
+const ImageUploader = ({
+  children,
+  fileAcceptedCallback,
+  fileRejectionCallback,
+}: ImageUploaderProps) => {
+  const onDrop = useCallback(
+    (acceptedFiles: Array<File>, fileRejections: Array<FileRejection>) => {
+      fileRejections.forEach((rejection: FileRejection) => {
+        fileRejectionCallback(rejection);
+      });
+
+      acceptedFiles.forEach((file: File) => {
+        fileAcceptedCallback(file);
+      });
+    },
+    [fileAcceptedCallback, fileRejectionCallback]
+  );
+
+  const { getRootProps, getInputProps, open } = useDropzone({
+    onDrop,
+    accept: {
+      'image/jpeg': ['.jpg', '.jpeg', '.png'],
+    },
+  });
+
+  const handleClickUploadIcon = (e: SyntheticEvent) => {
+    e.stopPropagation();
+    open();
+  };
+
+  return (
+    <div {...getRootProps()}>
+      <input {...getInputProps({ multiple: false })} />
+      {cloneElement(children, {
+        onClick: handleClickUploadIcon,
+      })}
+    </div>
+  );
+};
+
+export default ImageUploader;
diff --git a/frontend/src/features/sd/InitImage.css b/frontend/src/features/sd/InitAndMaskImage.css
similarity index 100%
rename from frontend/src/features/sd/InitImage.css
rename to frontend/src/features/sd/InitAndMaskImage.css
diff --git a/frontend/src/features/sd/InitAndMaskImage.tsx b/frontend/src/features/sd/InitAndMaskImage.tsx
new file mode 100644
index 0000000000..dd4caaa3cb
--- /dev/null
+++ b/frontend/src/features/sd/InitAndMaskImage.tsx
@@ -0,0 +1,57 @@
+import { Flex, Image } from '@chakra-ui/react';
+import { useState } from 'react';
+import { useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import { SDState } from '../../features/sd/sdSlice';
+import './InitAndMaskImage.css';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import InitAndMaskUploadButtons from './InitAndMaskUploadButtons';
+
+const sdSelector = createSelector(
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      initialImagePath: sd.initialImagePath,
+      maskPath: sd.maskPath,
+    };
+  },
+  { memoizeOptions: { resultEqualityCheck: isEqual } }
+);
+
+/**
+ * Displays init and mask images and buttons to upload/delete them.
+ */
+const InitAndMaskImage = () => {
+  const { initialImagePath, maskPath } = useAppSelector(sdSelector);
+  const [shouldShowMask, setShouldShowMask] = useState<boolean>(false);
+
+  return (
+    <Flex direction={'column'} alignItems={'center'} gap={2}>
+      <InitAndMaskUploadButtons setShouldShowMask={setShouldShowMask} />
+      {initialImagePath && (
+        <Flex position={'relative'} width={'100%'}>
+          <Image
+            fit={'contain'}
+            src={initialImagePath}
+            rounded={'md'}
+            className={'checkerboard'}
+          />
+          {shouldShowMask && maskPath && (
+            <Image
+              position={'absolute'}
+              top={0}
+              left={0}
+              fit={'contain'}
+              src={maskPath}
+              rounded={'md'}
+              zIndex={1}
+            />
+          )}
+        </Flex>
+      )}
+    </Flex>
+  );
+};
+
+export default InitAndMaskImage;
diff --git a/frontend/src/features/sd/InitAndMaskUploadButtons.tsx b/frontend/src/features/sd/InitAndMaskUploadButtons.tsx
new file mode 100644
index 0000000000..6ccffa04b3
--- /dev/null
+++ b/frontend/src/features/sd/InitAndMaskUploadButtons.tsx
@@ -0,0 +1,131 @@
+import { Button, Flex, IconButton, useToast } from '@chakra-ui/react';
+import { SyntheticEvent, useCallback } from 'react';
+import { FaTrash } from 'react-icons/fa';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import {
+  SDState,
+  setInitialImagePath,
+  setMaskPath,
+} from '../../features/sd/sdSlice';
+import { uploadInitialImage, uploadMaskImage } from '../../app/socketio';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import ImageUploader from './ImageUploader';
+import { FileRejection } from 'react-dropzone';
+
+const sdSelector = createSelector(
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      initialImagePath: sd.initialImagePath,
+      maskPath: sd.maskPath,
+    };
+  },
+  { memoizeOptions: { resultEqualityCheck: isEqual } }
+);
+
+type InitAndMaskUploadButtonsProps = {
+  setShouldShowMask: (b: boolean) => void;
+};
+
+/**
+ * Init and mask image upload buttons.
+ */
+const InitAndMaskUploadButtons = ({
+  setShouldShowMask,
+}: InitAndMaskUploadButtonsProps) => {
+  const dispatch = useAppDispatch();
+  const { initialImagePath } = useAppSelector(sdSelector);
+
+  // Use a toast to alert user when a file upload is rejected
+  const toast = useToast();
+
+  // Clear the init and mask images
+  const handleClickResetInitialImageAndMask = (e: SyntheticEvent) => {
+    e.stopPropagation();
+    dispatch(setInitialImagePath(''));
+    dispatch(setMaskPath(''));
+  };
+
+  // Handle hover to view initial image and mask image
+  const handleMouseOverInitialImageUploadButton = () =>
+    setShouldShowMask(false);
+  const handleMouseOutInitialImageUploadButton = () => setShouldShowMask(true);
+
+  const handleMouseOverMaskUploadButton = () => setShouldShowMask(true);
+  const handleMouseOutMaskUploadButton = () => setShouldShowMask(true);
+
+  // Callbacks to for handling file upload attempts
+  const initImageFileAcceptedCallback = useCallback(
+    (file: File) => dispatch(uploadInitialImage(file)),
+    [dispatch]
+  );
+
+  const maskImageFileAcceptedCallback = useCallback(
+    (file: File) => dispatch(uploadMaskImage(file)),
+    [dispatch]
+  );
+
+  const fileRejectionCallback = useCallback(
+    (rejection: FileRejection) => {
+      const msg = rejection.errors.reduce(
+        (acc: string, cur: { message: string }) => acc + '\n' + cur.message,
+        ''
+      );
+
+      toast({
+        title: 'Upload failed',
+        description: msg,
+        status: 'error',
+        isClosable: true,
+      });
+    },
+    [toast]
+  );
+
+  return (
+    <Flex gap={2} justifyContent={'space-between'} width={'100%'}>
+      <ImageUploader
+        fileAcceptedCallback={initImageFileAcceptedCallback}
+        fileRejectionCallback={fileRejectionCallback}
+      >
+        <Button
+          size={'sm'}
+          fontSize={'md'}
+          fontWeight={'normal'}
+          onMouseOver={handleMouseOverInitialImageUploadButton}
+          onMouseOut={handleMouseOutInitialImageUploadButton}
+        >
+          Upload Image
+        </Button>
+      </ImageUploader>
+
+      <ImageUploader
+        fileAcceptedCallback={maskImageFileAcceptedCallback}
+        fileRejectionCallback={fileRejectionCallback}
+      >
+        <Button
+          isDisabled={!initialImagePath}
+          size={'sm'}
+          fontSize={'md'}
+          fontWeight={'normal'}
+          onMouseOver={handleMouseOverMaskUploadButton}
+          onMouseOut={handleMouseOutMaskUploadButton}
+        >
+          Upload Mask
+        </Button>
+      </ImageUploader>
+
+      <IconButton
+        isDisabled={!initialImagePath}
+        size={'sm'}
+        aria-label={'Reset initial image and mask'}
+        onClick={handleClickResetInitialImageAndMask}
+        icon={<FaTrash />}
+      />
+    </Flex>
+  );
+};
+
+export default InitAndMaskUploadButtons;
diff --git a/frontend/src/features/sd/InitImage.tsx b/frontend/src/features/sd/InitImage.tsx
deleted file mode 100644
index 5d7c0aa2d4..0000000000
--- a/frontend/src/features/sd/InitImage.tsx
+++ /dev/null
@@ -1,155 +0,0 @@
-import {
-  Button,
-  Flex,
-  IconButton,
-  Image,
-  useToast,
-} from '@chakra-ui/react';
-import { SyntheticEvent, useCallback, useState } from 'react';
-import { FileRejection, useDropzone } from 'react-dropzone';
-import { FaTrash } from 'react-icons/fa';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
-import { RootState } from '../../app/store';
-import {
-  SDState,
-  setInitialImagePath,
-  setMaskPath,
-} from '../../features/sd/sdSlice';
-import MaskUploader from './MaskUploader';
-import './InitImage.css';
-import { uploadInitialImage } from '../../app/socketio';
-import { createSelector } from '@reduxjs/toolkit';
-import { isEqual } from 'lodash';
-
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
-    return {
-      initialImagePath: sd.initialImagePath,
-      maskPath: sd.maskPath,
-    };
-  },
-  { memoizeOptions: { resultEqualityCheck: isEqual } }
-);
-
-const InitImage = () => {
-  const toast = useToast();
-  const dispatch = useAppDispatch();
-  const { initialImagePath, maskPath } = useAppSelector(sdSelector);
-
-  const onDrop = useCallback(
-    (acceptedFiles: Array<File>, fileRejections: Array<FileRejection>) => {
-      fileRejections.forEach((rejection: FileRejection) => {
-        const msg = rejection.errors.reduce(
-          (acc: string, cur: { message: string }) => acc + '\n' + cur.message,
-          ''
-        );
-
-        toast({
-          title: 'Upload failed',
-          description: msg,
-          status: 'error',
-          isClosable: true,
-        });
-      });
-
-      acceptedFiles.forEach((file: File) => {
-        dispatch(uploadInitialImage(file));
-      });
-    },
-    [dispatch, toast]
-  );
-
-  const { getRootProps, getInputProps, open } = useDropzone({
-    onDrop,
-    accept: {
-      'image/jpeg': ['.jpg', '.jpeg', '.png'],
-    },
-  });
-
-  const [shouldShowMask, setShouldShowMask] = useState<boolean>(false);
-  const handleClickUploadIcon = (e: SyntheticEvent) => {
-    e.stopPropagation();
-    open();
-  };
-  const handleClickResetInitialImageAndMask = (e: SyntheticEvent) => {
-    e.stopPropagation();
-    dispatch(setInitialImagePath(''));
-    dispatch(setMaskPath(''));
-  };
-
-  const handleMouseOverInitialImageUploadButton = () =>
-    setShouldShowMask(false);
-  const handleMouseOutInitialImageUploadButton = () => setShouldShowMask(true);
-
-  const handleMouseOverMaskUploadButton = () => setShouldShowMask(true);
-  const handleMouseOutMaskUploadButton = () => setShouldShowMask(true);
-
-  return (
-    <Flex
-      {...getRootProps({
-        onClick: initialImagePath ? (e) => e.stopPropagation() : undefined,
-      })}
-      direction={'column'}
-      alignItems={'center'}
-      gap={2}
-    >
-      <input {...getInputProps({ multiple: false })} />
-      <Flex gap={2} justifyContent={'space-between'} width={'100%'}>
-        <Button
-          size={'sm'}
-          fontSize={'md'}
-          fontWeight={'normal'}
-          onClick={handleClickUploadIcon}
-          onMouseOver={handleMouseOverInitialImageUploadButton}
-          onMouseOut={handleMouseOutInitialImageUploadButton}
-        >
-          Upload Image
-        </Button>
-
-        <MaskUploader>
-          <Button
-            size={'sm'}
-            fontSize={'md'}
-            fontWeight={'normal'}
-            onClick={handleClickUploadIcon}
-            onMouseOver={handleMouseOverMaskUploadButton}
-            onMouseOut={handleMouseOutMaskUploadButton}
-          >
-            Upload Mask
-          </Button>
-        </MaskUploader>
-        <IconButton
-          size={'sm'}
-          aria-label={'Reset initial image and mask'}
-          onClick={handleClickResetInitialImageAndMask}
-          icon={<FaTrash />}
-        />
-      </Flex>
-      {initialImagePath && (
-        <Flex position={'relative'} width={'100%'}>
-          <Image
-            fit={'contain'}
-            src={initialImagePath}
-            rounded={'md'}
-            className={'checkerboard'}
-          />
-          {shouldShowMask && maskPath && (
-            <Image
-              position={'absolute'}
-              top={0}
-              left={0}
-              fit={'contain'}
-              src={maskPath}
-              rounded={'md'}
-              zIndex={1}
-              className={'checkerboard'}
-            />
-          )}
-        </Flex>
-      )}
-    </Flex>
-  );
-};
-
-export default InitImage;
diff --git a/frontend/src/features/sd/MaskUploader.tsx b/frontend/src/features/sd/MaskUploader.tsx
deleted file mode 100644
index 173cf1880c..0000000000
--- a/frontend/src/features/sd/MaskUploader.tsx
+++ /dev/null
@@ -1,61 +0,0 @@
-import { useToast } from '@chakra-ui/react';
-import { cloneElement, ReactElement, SyntheticEvent, useCallback } from 'react';
-import { FileRejection, useDropzone } from 'react-dropzone';
-import { useAppDispatch } from '../../app/hooks';
-import { uploadMaskImage } from '../../app/socketio';
-
-type Props = {
-    children: ReactElement;
-};
-
-const MaskUploader = ({ children }: Props) => {
-    const dispatch = useAppDispatch();
-    const toast = useToast();
-
-    const onDrop = useCallback(
-        (acceptedFiles: Array<File>, fileRejections: Array<FileRejection>) => {
-            fileRejections.forEach((rejection: FileRejection) => {
-                const msg = rejection.errors.reduce(
-                    (acc: string, cur: { message: string }) =>
-                        acc + '\n' + cur.message,
-                    ''
-                );
-
-                toast({
-                    title: 'Upload failed',
-                    description: msg,
-                    status: 'error',
-                    isClosable: true,
-                });
-            });
-
-            acceptedFiles.forEach((file: File) => {
-                dispatch(uploadMaskImage(file));
-            });
-        },
-        [dispatch, toast]
-    );
-
-    const { getRootProps, getInputProps, open } = useDropzone({
-        onDrop,
-        accept: {
-            'image/jpeg': ['.jpg', '.jpeg', '.png'],
-        },
-    });
-
-    const handleClickUploadIcon = (e: SyntheticEvent) => {
-        e.stopPropagation();
-        open();
-    };
-
-    return (
-        <div {...getRootProps()}>
-            <input {...getInputProps({ multiple: false })} />
-            {cloneElement(children, {
-                onClick: handleClickUploadIcon,
-            })}
-        </div>
-    );
-};
-
-export default MaskUploader;
diff --git a/frontend/src/features/sd/OptionsAccordion.tsx b/frontend/src/features/sd/OptionsAccordion.tsx
index d2a02450f2..2d3f8f1871 100644
--- a/frontend/src/features/sd/OptionsAccordion.tsx
+++ b/frontend/src/features/sd/OptionsAccordion.tsx
@@ -1,23 +1,24 @@
 import {
-    Flex,
-    Box,
-    Text,
-    Accordion,
-    AccordionItem,
-    AccordionButton,
-    AccordionIcon,
-    AccordionPanel,
-    Switch,
+  Flex,
+  Box,
+  Text,
+  Accordion,
+  AccordionItem,
+  AccordionButton,
+  AccordionIcon,
+  AccordionPanel,
+  Switch,
+  ExpandedIndex,
 } from '@chakra-ui/react';
 
 import { RootState } from '../../app/store';
 import { useAppDispatch, useAppSelector } from '../../app/hooks';
 
 import {
-    setShouldRunGFPGAN,
-    setShouldRunESRGAN,
-    SDState,
-    setShouldUseInitImage,
+  setShouldRunGFPGAN,
+  setShouldRunESRGAN,
+  SDState,
+  setShouldUseInitImage,
 } from '../sd/sdSlice';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
@@ -28,184 +29,189 @@ import ESRGANOptions from './ESRGANOptions';
 import GFPGANOptions from './GFPGANOptions';
 import OutputOptions from './OutputOptions';
 import ImageToImageOptions from './ImageToImageOptions';
+import { ChangeEvent } from 'react';
 
 const sdSelector = createSelector(
-    (state: RootState) => state.sd,
-    (sd: SDState) => {
-        return {
-            initialImagePath: sd.initialImagePath,
-            shouldUseInitImage: sd.shouldUseInitImage,
-            shouldRunESRGAN: sd.shouldRunESRGAN,
-            shouldRunGFPGAN: sd.shouldRunGFPGAN,
-        };
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      initialImagePath: sd.initialImagePath,
+      shouldUseInitImage: sd.shouldUseInitImage,
+      shouldRunESRGAN: sd.shouldRunESRGAN,
+      shouldRunGFPGAN: sd.shouldRunGFPGAN,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
 const systemSelector = createSelector(
-    (state: RootState) => state.system,
-    (system: SystemState) => {
-        return {
-            isGFPGANAvailable: system.isGFPGANAvailable,
-            isESRGANAvailable: system.isESRGANAvailable,
-            openAccordions: system.openAccordions,
-        };
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    return {
+      isGFPGANAvailable: system.isGFPGANAvailable,
+      isESRGANAvailable: system.isESRGANAvailable,
+      openAccordions: system.openAccordions,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
+/**
+ * Main container for generation and processing parameters.
+ */
 const OptionsAccordion = () => {
-    const {
-        shouldRunESRGAN,
-        shouldRunGFPGAN,
-        shouldUseInitImage,
-        initialImagePath,
-    } = useAppSelector(sdSelector);
+  const {
+    shouldRunESRGAN,
+    shouldRunGFPGAN,
+    shouldUseInitImage,
+    initialImagePath,
+  } = useAppSelector(sdSelector);
 
-    const { isGFPGANAvailable, isESRGANAvailable, openAccordions } =
-        useAppSelector(systemSelector);
+  const { isGFPGANAvailable, isESRGANAvailable, openAccordions } =
+    useAppSelector(systemSelector);
 
-    const dispatch = useAppDispatch();
+  const dispatch = useAppDispatch();
 
-    return (
-        <Accordion
-            defaultIndex={openAccordions}
-            allowMultiple
-            reduceMotion
-            onChange={(openAccordions) =>
-                dispatch(setOpenAccordions(openAccordions))
-            }
-        >
-            <AccordionItem>
-                <h2>
-                    <AccordionButton>
-                        <Box flex='1' textAlign='left'>
-                            Seed & Variation
-                        </Box>
-                        <AccordionIcon />
-                    </AccordionButton>
-                </h2>
-                <AccordionPanel>
-                    <SeedVariationOptions />
-                </AccordionPanel>
-            </AccordionItem>
-            <AccordionItem>
-                <h2>
-                    <AccordionButton>
-                        <Box flex='1' textAlign='left'>
-                            Sampler
-                        </Box>
-                        <AccordionIcon />
-                    </AccordionButton>
-                </h2>
-                <AccordionPanel>
-                    <SamplerOptions />
-                </AccordionPanel>
-            </AccordionItem>
-            <AccordionItem>
-                <h2>
-                    <AccordionButton>
-                        <Flex
-                            justifyContent={'space-between'}
-                            alignItems={'center'}
-                            width={'100%'}
-                            mr={2}
-                        >
-                            <Text>Upscale (ESRGAN)</Text>
-                            <Switch
-                                isDisabled={!isESRGANAvailable}
-                                isChecked={shouldRunESRGAN}
-                                onChange={(e) =>
-                                    dispatch(
-                                        setShouldRunESRGAN(e.target.checked)
-                                    )
-                                }
-                            />
-                        </Flex>
-                        <AccordionIcon />
-                    </AccordionButton>
-                </h2>
-                <AccordionPanel>
-                    <ESRGANOptions />
-                </AccordionPanel>
-            </AccordionItem>
-            <AccordionItem>
-                <h2>
-                    <AccordionButton>
-                        <Flex
-                            justifyContent={'space-between'}
-                            alignItems={'center'}
-                            width={'100%'}
-                            mr={2}
-                        >
-                            <Text>Fix Faces (GFPGAN)</Text>
-                            <Switch
-                                isDisabled={!isGFPGANAvailable}
-                                isChecked={shouldRunGFPGAN}
-                                onChange={(e) =>
-                                    dispatch(
-                                        setShouldRunGFPGAN(e.target.checked)
-                                    )
-                                }
-                            />
-                        </Flex>
-                        <AccordionIcon />
-                    </AccordionButton>
-                </h2>
-                <AccordionPanel>
-                    <GFPGANOptions />
-                </AccordionPanel>
-            </AccordionItem>
-            <AccordionItem>
-                <h2>
-                    <AccordionButton>
-                        <Flex
-                            justifyContent={'space-between'}
-                            alignItems={'center'}
-                            width={'100%'}
-                            mr={2}
-                        >
-                            <Text>Image to Image</Text>
-                            <Switch
-                                isDisabled={!initialImagePath}
-                                isChecked={shouldUseInitImage}
-                                onChange={(e) =>
-                                    dispatch(
-                                        setShouldUseInitImage(e.target.checked)
-                                    )
-                                }
-                            />
-                        </Flex>
-                        <AccordionIcon />
-                    </AccordionButton>
-                </h2>
-                <AccordionPanel>
-                    <ImageToImageOptions />
-                </AccordionPanel>
-            </AccordionItem>
-            <AccordionItem>
-                <h2>
-                    <AccordionButton>
-                        <Box flex='1' textAlign='left'>
-                            Output
-                        </Box>
-                        <AccordionIcon />
-                    </AccordionButton>
-                </h2>
-                <AccordionPanel>
-                    <OutputOptions />
-                </AccordionPanel>
-            </AccordionItem>
-        </Accordion>
-    );
+  /**
+   * Stores accordion state in redux so preferred UI setup is retained.
+   */
+  const handleChangeAccordionState = (openAccordions: ExpandedIndex) =>
+    dispatch(setOpenAccordions(openAccordions));
+
+  const handleChangeShouldRunESRGAN = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldRunESRGAN(e.target.checked));
+
+  const handleChangeShouldRunGFPGAN = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldRunGFPGAN(e.target.checked));
+
+  const handleChangeShouldUseInitImage = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldUseInitImage(e.target.checked));
+
+  return (
+    <Accordion
+      defaultIndex={openAccordions}
+      allowMultiple
+      reduceMotion
+      onChange={handleChangeAccordionState}
+    >
+      <AccordionItem>
+        <h2>
+          <AccordionButton>
+            <Box flex="1" textAlign="left">
+              Seed & Variation
+            </Box>
+            <AccordionIcon />
+          </AccordionButton>
+        </h2>
+        <AccordionPanel>
+          <SeedVariationOptions />
+        </AccordionPanel>
+      </AccordionItem>
+      <AccordionItem>
+        <h2>
+          <AccordionButton>
+            <Box flex="1" textAlign="left">
+              Sampler
+            </Box>
+            <AccordionIcon />
+          </AccordionButton>
+        </h2>
+        <AccordionPanel>
+          <SamplerOptions />
+        </AccordionPanel>
+      </AccordionItem>
+      <AccordionItem>
+        <h2>
+          <AccordionButton>
+            <Flex
+              justifyContent={'space-between'}
+              alignItems={'center'}
+              width={'100%'}
+              mr={2}
+            >
+              <Text>Upscale (ESRGAN)</Text>
+              <Switch
+                isDisabled={!isESRGANAvailable}
+                isChecked={shouldRunESRGAN}
+                onChange={handleChangeShouldRunESRGAN}
+              />
+            </Flex>
+            <AccordionIcon />
+          </AccordionButton>
+        </h2>
+        <AccordionPanel>
+          <ESRGANOptions />
+        </AccordionPanel>
+      </AccordionItem>
+      <AccordionItem>
+        <h2>
+          <AccordionButton>
+            <Flex
+              justifyContent={'space-between'}
+              alignItems={'center'}
+              width={'100%'}
+              mr={2}
+            >
+              <Text>Fix Faces (GFPGAN)</Text>
+              <Switch
+                isDisabled={!isGFPGANAvailable}
+                isChecked={shouldRunGFPGAN}
+                onChange={handleChangeShouldRunGFPGAN}
+              />
+            </Flex>
+            <AccordionIcon />
+          </AccordionButton>
+        </h2>
+        <AccordionPanel>
+          <GFPGANOptions />
+        </AccordionPanel>
+      </AccordionItem>
+      <AccordionItem>
+        <h2>
+          <AccordionButton>
+            <Flex
+              justifyContent={'space-between'}
+              alignItems={'center'}
+              width={'100%'}
+              mr={2}
+            >
+              <Text>Image to Image</Text>
+              <Switch
+                isDisabled={!initialImagePath}
+                isChecked={shouldUseInitImage}
+                onChange={handleChangeShouldUseInitImage}
+              />
+            </Flex>
+            <AccordionIcon />
+          </AccordionButton>
+        </h2>
+        <AccordionPanel>
+          <ImageToImageOptions />
+        </AccordionPanel>
+      </AccordionItem>
+      <AccordionItem>
+        <h2>
+          <AccordionButton>
+            <Box flex="1" textAlign="left">
+              Output
+            </Box>
+            <AccordionIcon />
+          </AccordionButton>
+        </h2>
+        <AccordionPanel>
+          <OutputOptions />
+        </AccordionPanel>
+      </AccordionItem>
+    </Accordion>
+  );
 };
 
 export default OptionsAccordion;
diff --git a/frontend/src/features/sd/OutputOptions.tsx b/frontend/src/features/sd/OutputOptions.tsx
index abf8acd114..9c86d00d0e 100644
--- a/frontend/src/features/sd/OutputOptions.tsx
+++ b/frontend/src/features/sd/OutputOptions.tsx
@@ -11,56 +11,66 @@ import { HEIGHTS, WIDTHS } from '../../app/constants';
 import SDSwitch from '../../components/SDSwitch';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
+import { ChangeEvent } from 'react';
 
 const sdSelector = createSelector(
-    (state: RootState) => state.sd,
-    (sd: SDState) => {
-        return {
-            height: sd.height,
-            width: sd.width,
-            seamless: sd.seamless,
-        };
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      height: sd.height,
+      width: sd.width,
+      seamless: sd.seamless,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
+/**
+ * Image output options. Includes width, height, seamless tiling.
+ */
 const OutputOptions = () => {
-    const { height, width, seamless } = useAppSelector(sdSelector);
+  const dispatch = useAppDispatch();
+  const { height, width, seamless } = useAppSelector(sdSelector);
 
-    const dispatch = useAppDispatch();
+  const handleChangeWidth = (e: ChangeEvent<HTMLSelectElement>) =>
+    dispatch(setWidth(Number(e.target.value)));
 
-    return (
-        <Flex gap={2} direction={'column'}>
-            <Flex gap={2}>
-                <SDSelect
-                    label='Width'
-                    value={width}
-                    flexGrow={1}
-                    onChange={(e) => dispatch(setWidth(Number(e.target.value)))}
-                    validValues={WIDTHS}
-                />
-                <SDSelect
-                    label='Height'
-                    value={height}
-                    flexGrow={1}
-                    onChange={(e) =>
-                        dispatch(setHeight(Number(e.target.value)))
-                    }
-                    validValues={HEIGHTS}
-                />
-            </Flex>
-            <SDSwitch
-                label='Seamless tiling'
-                fontSize={'md'}
-                isChecked={seamless}
-                onChange={(e) => dispatch(setSeamless(e.target.checked))}
-            />
-        </Flex>
-    );
+  const handleChangeHeight = (e: ChangeEvent<HTMLSelectElement>) =>
+    dispatch(setHeight(Number(e.target.value)));
+
+  const handleChangeSeamless = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setSeamless(e.target.checked));
+
+  return (
+    <Flex gap={2} direction={'column'}>
+      <Flex gap={2}>
+        <SDSelect
+          label="Width"
+          value={width}
+          flexGrow={1}
+          onChange={handleChangeWidth}
+          validValues={WIDTHS}
+        />
+        <SDSelect
+          label="Height"
+          value={height}
+          flexGrow={1}
+          onChange={handleChangeHeight}
+          validValues={HEIGHTS}
+        />
+      </Flex>
+      <SDSwitch
+        label="Seamless tiling"
+        fontSize={'md'}
+        isChecked={seamless}
+        onChange={handleChangeSeamless}
+      />
+    </Flex>
+  );
 };
 
 export default OutputOptions;
diff --git a/frontend/src/features/sd/ProcessButtons.tsx b/frontend/src/features/sd/ProcessButtons.tsx
index 8a85d87fcb..6ec74df14e 100644
--- a/frontend/src/features/sd/ProcessButtons.tsx
+++ b/frontend/src/features/sd/ProcessButtons.tsx
@@ -9,50 +9,60 @@ import { SystemState } from '../system/systemSlice';
 import useCheckParameters from '../system/useCheckParameters';
 
 const systemSelector = createSelector(
-    (state: RootState) => state.system,
-    (system: SystemState) => {
-        return {
-            isProcessing: system.isProcessing,
-            isConnected: system.isConnected,
-        };
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    return {
+      isProcessing: system.isProcessing,
+      isConnected: system.isConnected,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
+/**
+ * Buttons to start and cancel image generation.
+ */
 const ProcessButtons = () => {
-    const { isProcessing, isConnected } = useAppSelector(systemSelector);
+  const dispatch = useAppDispatch();
+  const { isProcessing, isConnected } = useAppSelector(systemSelector);
+  const isReady = useCheckParameters();
 
-    const dispatch = useAppDispatch();
+  const handleClickGenerate = () => dispatch(generateImage());
 
-    const isReady = useCheckParameters();
+  const handleClickCancel = () => dispatch(cancelProcessing());
 
-    return (
-        <Flex gap={2} direction={'column'} alignItems={'space-between'} height={'100%'}>
-            <SDButton
-                label='Generate'
-                type='submit'
-                colorScheme='green'
-                flexGrow={1}
-                isDisabled={!isReady}
-                fontSize={'md'}
-                size={'md'}
-                onClick={() => dispatch(generateImage())}
-            />
-            <SDButton
-                label='Cancel'
-                colorScheme='red'
-                flexGrow={1}
-                fontSize={'md'}
-                size={'md'}
-                isDisabled={!isConnected || !isProcessing}
-                onClick={() => dispatch(cancelProcessing())}
-            />
-        </Flex>
-    );
+  return (
+    <Flex
+      gap={2}
+      direction={'column'}
+      alignItems={'space-between'}
+      height={'100%'}
+    >
+      <SDButton
+        label="Generate"
+        type="submit"
+        colorScheme="green"
+        flexGrow={1}
+        isDisabled={!isReady}
+        fontSize={'md'}
+        size={'md'}
+        onClick={handleClickGenerate}
+      />
+      <SDButton
+        label="Cancel"
+        colorScheme="red"
+        flexGrow={1}
+        fontSize={'md'}
+        size={'md'}
+        isDisabled={!isConnected || !isProcessing}
+        onClick={handleClickCancel}
+      />
+    </Flex>
+  );
 };
 
 export default ProcessButtons;
diff --git a/frontend/src/features/sd/PromptInput.tsx b/frontend/src/features/sd/PromptInput.tsx
index 1eeb27b293..30b5e0fa68 100644
--- a/frontend/src/features/sd/PromptInput.tsx
+++ b/frontend/src/features/sd/PromptInput.tsx
@@ -1,21 +1,28 @@
 import { Textarea } from '@chakra-ui/react';
+import { ChangeEvent } from 'react';
 import { useAppDispatch, useAppSelector } from '../../app/hooks';
 import { RootState } from '../../app/store';
 import { setPrompt } from '../sd/sdSlice';
 
+/**
+ * Prompt input text area.
+ */
 const PromptInput = () => {
   const { prompt } = useAppSelector((state: RootState) => state.sd);
   const dispatch = useAppDispatch();
 
+  const handleChangePrompt = (e: ChangeEvent<HTMLTextAreaElement>) =>
+    dispatch(setPrompt(e.target.value));
+
   return (
     <Textarea
-      id='prompt'
-      name='prompt'
-      resize='none'
+      id="prompt"
+      name="prompt"
+      resize="none"
       size={'lg'}
       height={'100%'}
       isInvalid={!prompt.length}
-      onChange={(e) => dispatch(setPrompt(e.target.value))}
+      onChange={handleChangePrompt}
       value={prompt}
       placeholder="I'm dreaming of..."
     />
diff --git a/frontend/src/features/sd/SDSlider.tsx b/frontend/src/features/sd/SDSlider.tsx
deleted file mode 100644
index 771f5d211f..0000000000
--- a/frontend/src/features/sd/SDSlider.tsx
+++ /dev/null
@@ -1,51 +0,0 @@
-import {
-    Slider,
-    SliderTrack,
-    SliderFilledTrack,
-    SliderThumb,
-    FormControl,
-    FormLabel,
-    Text,
-    Flex,
-    SliderProps,
-} from '@chakra-ui/react';
-
-interface Props extends SliderProps {
-    label: string;
-    value: number;
-    fontSize?: number | string;
-}
-
-const SDSlider = ({
-    label,
-    value,
-    fontSize = 'sm',
-    onChange,
-    ...rest
-}: Props) => {
-    return (
-        <FormControl>
-            <Flex gap={2}>
-                <FormLabel marginInlineEnd={0} marginBottom={1}>
-                    <Text fontSize={fontSize} whiteSpace='nowrap'>
-                        {label}
-                    </Text>
-                </FormLabel>
-                <Slider
-                    aria-label={label}
-                    focusThumbOnChange={true}
-                    value={value}
-                    onChange={onChange}
-                    {...rest}
-                >
-                    <SliderTrack>
-                        <SliderFilledTrack />
-                    </SliderTrack>
-                    <SliderThumb />
-                </Slider>
-            </Flex>
-        </FormControl>
-    );
-};
-
-export default SDSlider;
diff --git a/frontend/src/features/sd/SamplerOptions.tsx b/frontend/src/features/sd/SamplerOptions.tsx
index 7e3a265adc..ee7f30be0b 100644
--- a/frontend/src/features/sd/SamplerOptions.tsx
+++ b/frontend/src/features/sd/SamplerOptions.tsx
@@ -11,52 +11,64 @@ import SDSelect from '../../components/SDSelect';
 import { SAMPLERS } from '../../app/constants';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
+import { ChangeEvent } from 'react';
 
 const sdSelector = createSelector(
-    (state: RootState) => state.sd,
-    (sd: SDState) => {
-        return {
-            steps: sd.steps,
-            cfgScale: sd.cfgScale,
-            sampler: sd.sampler,
-        };
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      steps: sd.steps,
+      cfgScale: sd.cfgScale,
+      sampler: sd.sampler,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
+/**
+ * Sampler options. Includes steps, CFG scale, sampler.
+ */
 const SamplerOptions = () => {
-    const { steps, cfgScale, sampler } = useAppSelector(sdSelector);
+  const dispatch = useAppDispatch();
+  const { steps, cfgScale, sampler } = useAppSelector(sdSelector);
 
-    const dispatch = useAppDispatch();
+  const handleChangeSteps = (v: string | number) =>
+    dispatch(setSteps(Number(v)));
 
-    return (
-        <Flex gap={2} direction={'column'}>
-            <SDNumberInput
-                label='Steps'
-                min={1}
-                step={1}
-                precision={0}
-                onChange={(v) => dispatch(setSteps(Number(v)))}
-                value={steps}
-            />
-            <SDNumberInput
-                label='CFG scale'
-                step={0.5}
-                onChange={(v) => dispatch(setCfgScale(Number(v)))}
-                value={cfgScale}
-            />
-            <SDSelect
-                label='Sampler'
-                value={sampler}
-                onChange={(e) => dispatch(setSampler(e.target.value))}
-                validValues={SAMPLERS}
-            />
-        </Flex>
-    );
+  const handleChangeCfgScale = (v: string | number) =>
+    dispatch(setCfgScale(Number(v)));
+
+  const handleChangeSampler = (e: ChangeEvent<HTMLSelectElement>) =>
+    dispatch(setSampler(e.target.value));
+
+  return (
+    <Flex gap={2} direction={'column'}>
+      <SDNumberInput
+        label="Steps"
+        min={1}
+        step={1}
+        precision={0}
+        onChange={handleChangeSteps}
+        value={steps}
+      />
+      <SDNumberInput
+        label="CFG scale"
+        step={0.5}
+        onChange={handleChangeCfgScale}
+        value={cfgScale}
+      />
+      <SDSelect
+        label="Sampler"
+        value={sampler}
+        onChange={handleChangeSampler}
+        validValues={SAMPLERS}
+      />
+    </Flex>
+  );
 };
 
 export default SamplerOptions;
diff --git a/frontend/src/features/sd/SeedVariationOptions.tsx b/frontend/src/features/sd/SeedVariationOptions.tsx
index 078dbb875a..95cc353cb7 100644
--- a/frontend/src/features/sd/SeedVariationOptions.tsx
+++ b/frontend/src/features/sd/SeedVariationOptions.tsx
@@ -1,144 +1,159 @@
 import {
-    Flex,
-    Input,
-    HStack,
-    FormControl,
-    FormLabel,
-    Text,
-    Button,
+  Flex,
+  Input,
+  HStack,
+  FormControl,
+  FormLabel,
+  Text,
+  Button,
 } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
+import { ChangeEvent } from 'react';
 import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from '../../app/constants';
 import { useAppDispatch, useAppSelector } from '../../app/hooks';
 import { RootState } from '../../app/store';
 import SDNumberInput from '../../components/SDNumberInput';
 import SDSwitch from '../../components/SDSwitch';
 import {
-    randomizeSeed,
-    SDState,
-    setIterations,
-    setSeed,
-    setSeedWeights,
-    setShouldGenerateVariations,
-    setShouldRandomizeSeed,
-    setVariantAmount,
+  SDState,
+  setIterations,
+  setSeed,
+  setSeedWeights,
+  setShouldGenerateVariations,
+  setShouldRandomizeSeed,
+  setVariationAmount,
 } from './sdSlice';
+import randomInt from './util/randomInt';
 import { validateSeedWeights } from './util/seedWeightPairs';
 
 const sdSelector = createSelector(
-    (state: RootState) => state.sd,
-    (sd: SDState) => {
-        return {
-            variantAmount: sd.variantAmount,
-            seedWeights: sd.seedWeights,
-            shouldGenerateVariations: sd.shouldGenerateVariations,
-            shouldRandomizeSeed: sd.shouldRandomizeSeed,
-            seed: sd.seed,
-            iterations: sd.iterations,
-        };
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      variationAmount: sd.variationAmount,
+      seedWeights: sd.seedWeights,
+      shouldGenerateVariations: sd.shouldGenerateVariations,
+      shouldRandomizeSeed: sd.shouldRandomizeSeed,
+      seed: sd.seed,
+      iterations: sd.iterations,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
+/**
+ * Seed & variation options. Includes iteration, seed, seed randomization, variation options.
+ */
 const SeedVariationOptions = () => {
-    const {
-        shouldGenerateVariations,
-        variantAmount,
-        seedWeights,
-        shouldRandomizeSeed,
-        seed,
-        iterations,
-    } = useAppSelector(sdSelector);
+  const {
+    shouldGenerateVariations,
+    variationAmount,
+    seedWeights,
+    shouldRandomizeSeed,
+    seed,
+    iterations,
+  } = useAppSelector(sdSelector);
 
-    const dispatch = useAppDispatch();
+  const dispatch = useAppDispatch();
 
-    return (
-        <Flex gap={2} direction={'column'}>
-            <SDNumberInput
-                label='Images to generate'
-                step={1}
-                min={1}
-                precision={0}
-                onChange={(v) => dispatch(setIterations(Number(v)))}
-                value={iterations}
-            />
-            <SDSwitch
-                label='Randomize seed on generation'
-                isChecked={shouldRandomizeSeed}
-                onChange={(e) =>
-                    dispatch(setShouldRandomizeSeed(e.target.checked))
-                }
-            />
-            <Flex gap={2}>
-                <SDNumberInput
-                    label='Seed'
-                    step={1}
-                    precision={0}
-                    flexGrow={1}
-                    min={NUMPY_RAND_MIN}
-                    max={NUMPY_RAND_MAX}
-                    isDisabled={shouldRandomizeSeed}
-                    isInvalid={seed < 0 && shouldGenerateVariations}
-                    onChange={(v) => dispatch(setSeed(Number(v)))}
-                    value={seed}
-                />
-                <Button
-                    size={'sm'}
-                    isDisabled={shouldRandomizeSeed}
-                    onClick={() => dispatch(randomizeSeed())}
-                >
-                    <Text pl={2} pr={2}>
-                        Shuffle
-                    </Text>
-                </Button>
-            </Flex>
-            <SDSwitch
-                label='Generate variations'
-                isChecked={shouldGenerateVariations}
-                width={'auto'}
-                onChange={(e) =>
-                    dispatch(setShouldGenerateVariations(e.target.checked))
-                }
-            />
-            <SDNumberInput
-                label='Variation amount'
-                value={variantAmount}
-                step={0.01}
-                min={0}
-                max={1}
-                isDisabled={!shouldGenerateVariations}
-                onChange={(v) => dispatch(setVariantAmount(Number(v)))}
-            />
-            <FormControl
-                isInvalid={
-                    shouldGenerateVariations &&
-                    !(validateSeedWeights(seedWeights) || seedWeights === '')
-                }
-                flexGrow={1}
-                isDisabled={!shouldGenerateVariations}
-            >
-                <HStack>
-                    <FormLabel marginInlineEnd={0} marginBottom={1}>
-                        <Text whiteSpace='nowrap'>
-                            Seed Weights
-                        </Text>
-                    </FormLabel>
-                    <Input
-                        size={'sm'}
-                        value={seedWeights}
-                        onChange={(e) =>
-                            dispatch(setSeedWeights(e.target.value))
-                        }
-                    />
-                </HStack>
-            </FormControl>
-        </Flex>
-    );
+  const handleChangeIterations = (v: string | number) =>
+    dispatch(setIterations(Number(v)));
+
+  const handleChangeShouldRandomizeSeed = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setShouldRandomizeSeed(e.target.checked));
+
+  const handleChangeSeed = (v: string | number) => dispatch(setSeed(Number(v)));
+
+  const handleClickRandomizeSeed = () =>
+    dispatch(setSeed(randomInt(NUMPY_RAND_MIN, NUMPY_RAND_MAX)));
+
+  const handleChangeShouldGenerateVariations = (
+    e: ChangeEvent<HTMLInputElement>
+  ) => dispatch(setShouldGenerateVariations(e.target.checked));
+
+  const handleChangevariationAmount = (v: string | number) =>
+    dispatch(setVariationAmount(Number(v)));
+
+  const handleChangeSeedWeights = (e: ChangeEvent<HTMLInputElement>) =>
+    dispatch(setSeedWeights(e.target.value));
+
+  return (
+    <Flex gap={2} direction={'column'}>
+      <SDNumberInput
+        label="Images to generate"
+        step={1}
+        min={1}
+        precision={0}
+        onChange={handleChangeIterations}
+        value={iterations}
+      />
+      <SDSwitch
+        label="Randomize seed on generation"
+        isChecked={shouldRandomizeSeed}
+        onChange={handleChangeShouldRandomizeSeed}
+      />
+      <Flex gap={2}>
+        <SDNumberInput
+          label="Seed"
+          step={1}
+          precision={0}
+          flexGrow={1}
+          min={NUMPY_RAND_MIN}
+          max={NUMPY_RAND_MAX}
+          isDisabled={shouldRandomizeSeed}
+          isInvalid={seed < 0 && shouldGenerateVariations}
+          onChange={handleChangeSeed}
+          value={seed}
+        />
+        <Button
+          size={'sm'}
+          isDisabled={shouldRandomizeSeed}
+          onClick={handleClickRandomizeSeed}
+        >
+          <Text pl={2} pr={2}>
+            Shuffle
+          </Text>
+        </Button>
+      </Flex>
+      <SDSwitch
+        label="Generate variations"
+        isChecked={shouldGenerateVariations}
+        width={'auto'}
+        onChange={handleChangeShouldGenerateVariations}
+      />
+      <SDNumberInput
+        label="Variation amount"
+        value={variationAmount}
+        step={0.01}
+        min={0}
+        max={1}
+        onChange={handleChangevariationAmount}
+      />
+      <FormControl
+        isInvalid={
+          shouldGenerateVariations &&
+          !(validateSeedWeights(seedWeights) || seedWeights === '')
+        }
+        flexGrow={1}
+      >
+        <HStack>
+          <FormLabel marginInlineEnd={0} marginBottom={1}>
+            <Text whiteSpace="nowrap">Seed Weights</Text>
+          </FormLabel>
+          <Input
+            size={'sm'}
+            value={seedWeights}
+            onChange={handleChangeSeedWeights}
+          />
+        </HStack>
+      </FormControl>
+    </Flex>
+  );
 };
 
 export default SeedVariationOptions;
diff --git a/frontend/src/features/sd/Variant.tsx b/frontend/src/features/sd/Variant.tsx
deleted file mode 100644
index 82254ba056..0000000000
--- a/frontend/src/features/sd/Variant.tsx
+++ /dev/null
@@ -1,92 +0,0 @@
-import {
-    Flex,
-    FormControl,
-    FormLabel,
-    HStack,
-    Input,
-    Text,
-} from '@chakra-ui/react';
-import { createSelector } from '@reduxjs/toolkit';
-import { isEqual } from 'lodash';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
-import { RootState } from '../../app/store';
-import SDNumberInput from '../../components/SDNumberInput';
-import SDSwitch from '../../components/SDSwitch';
-import {
-    SDState,
-    setSeedWeights,
-    setShouldGenerateVariations,
-    setVariantAmount,
-} from './sdSlice';
-import { validateSeedWeights } from './util/seedWeightPairs';
-
-const sdSelector = createSelector(
-    (state: RootState) => state.sd,
-    (sd: SDState) => {
-        return {
-            variantAmount: sd.variantAmount,
-            seedWeights: sd.seedWeights,
-            shouldGenerateVariations: sd.shouldGenerateVariations,
-        };
-    },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
-);
-
-const Variant = () => {
-    const { shouldGenerateVariations, variantAmount, seedWeights } =
-        useAppSelector(sdSelector);
-
-    const dispatch = useAppDispatch();
-
-    return (
-        <Flex gap={2} alignItems={'center'} pl={1}>
-            <SDSwitch
-                label='Generate variations'
-                isChecked={shouldGenerateVariations}
-                width={'auto'}
-                onChange={(e) =>
-                    dispatch(setShouldGenerateVariations(e.target.checked))
-                }
-            />
-            <SDNumberInput
-                label='Amount'
-                value={variantAmount}
-                step={0.01}
-                min={0}
-                max={1}
-                width={240}
-                isDisabled={!shouldGenerateVariations}
-                onChange={(v) => dispatch(setVariantAmount(Number(v)))}
-            />
-            <FormControl
-                isInvalid={
-                    shouldGenerateVariations &&
-                    !(validateSeedWeights(seedWeights) || seedWeights === '')
-                }
-                flexGrow={1}
-                isDisabled={!shouldGenerateVariations}
-            >
-                <HStack>
-                    <FormLabel marginInlineEnd={0} marginBottom={1}>
-                        <Text fontSize={'sm'} whiteSpace='nowrap'>
-                            Seed Weights
-                        </Text>
-                    </FormLabel>
-                    <Input
-                        size={'sm'}
-                        value={seedWeights}
-                        onChange={(e) =>
-                            dispatch(setSeedWeights(e.target.value))
-                        }
-                    />
-                </HStack>
-            </FormControl>
-        </Flex>
-    );
-};
-
-export default Variant;
diff --git a/frontend/src/features/sd/sdSlice.ts b/frontend/src/features/sd/sdSlice.ts
index ff4a42bdb5..6fe0153222 100644
--- a/frontend/src/features/sd/sdSlice.ts
+++ b/frontend/src/features/sd/sdSlice.ts
@@ -1,8 +1,6 @@
 import { createSlice } from '@reduxjs/toolkit';
 import type { PayloadAction } from '@reduxjs/toolkit';
 import { SDMetadata } from '../gallery/gallerySlice';
-import randomInt from './util/randomInt';
-import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from '../../app/constants';
 
 const calculateRealSteps = (
   steps: number,
@@ -12,7 +10,7 @@ const calculateRealSteps = (
   return hasInitImage ? Math.floor(strength * steps) : steps;
 };
 
-export type UpscalingLevel = 0 | 2 | 3 | 4;
+export type UpscalingLevel = 0 | 2 | 4;
 
 export interface SDState {
   prompt: string;
@@ -34,7 +32,7 @@ export interface SDState {
   seamless: boolean;
   shouldFitToWidthHeight: boolean;
   shouldGenerateVariations: boolean;
-  variantAmount: number;
+  variationAmount: number;
   seedWeights: string;
   shouldRunESRGAN: boolean;
   shouldRunGFPGAN: boolean;
@@ -58,7 +56,7 @@ const initialSDState: SDState = {
   maskPath: '',
   shouldFitToWidthHeight: true,
   shouldGenerateVariations: false,
-  variantAmount: 0.1,
+  variationAmount: 0.1,
   seedWeights: '',
   shouldRunESRGAN: false,
   upscalingLevel: 4,
@@ -151,9 +149,6 @@ export const sdSlice = createSlice({
     resetSeed: (state) => {
       state.seed = -1;
     },
-    randomizeSeed: (state) => {
-      state.seed = randomInt(NUMPY_RAND_MIN, NUMPY_RAND_MAX);
-    },
     setParameter: (
       state,
       action: PayloadAction<{ key: string; value: string | number | boolean }>
@@ -171,8 +166,8 @@ export const sdSlice = createSlice({
     setShouldGenerateVariations: (state, action: PayloadAction<boolean>) => {
       state.shouldGenerateVariations = action.payload;
     },
-    setVariantAmount: (state, action: PayloadAction<number>) => {
-      state.variantAmount = action.payload;
+    setVariationAmount: (state, action: PayloadAction<number>) => {
+      state.variationAmount = action.payload;
     },
     setSeedWeights: (state, action: PayloadAction<string>) => {
       state.seedWeights = action.payload;
@@ -267,13 +262,12 @@ export const {
   setInitialImagePath,
   setMaskPath,
   resetSeed,
-  randomizeSeed,
   resetSDState,
   setShouldFitToWidthHeight,
   setParameter,
   setShouldGenerateVariations,
   setSeedWeights,
-  setVariantAmount,
+  setVariationAmount,
   setAllParameters,
   setShouldRunGFPGAN,
   setShouldRunESRGAN,
diff --git a/frontend/src/features/system/LogViewer.tsx b/frontend/src/features/system/LogViewer.tsx
index ee326600f3..78c5e85664 100644
--- a/frontend/src/features/system/LogViewer.tsx
+++ b/frontend/src/features/system/LogViewer.tsx
@@ -1,9 +1,9 @@
 import {
-    IconButton,
-    useColorModeValue,
-    Flex,
-    Text,
-    Tooltip,
+  IconButton,
+  useColorModeValue,
+  Flex,
+  Text,
+  Tooltip,
 } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from '../../app/hooks';
 import { RootState } from '../../app/store';
@@ -14,112 +14,111 @@ import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 
 const logSelector = createSelector(
-    (state: RootState) => state.system,
-    (system: SystemState) => system.log,
-    {
-        memoizeOptions: {
-            resultEqualityCheck: (a, b) => a.length === b.length,
-        },
-    }
+  (state: RootState) => state.system,
+  (system: SystemState) => system.log,
+  {
+    memoizeOptions: {
+      // We don't need a deep equality check for this selector.
+      resultEqualityCheck: (a, b) => a.length === b.length,
+    },
+  }
 );
 
 const systemSelector = createSelector(
-    (state: RootState) => state.system,
-    (system: SystemState) => {
-        return { shouldShowLogViewer: system.shouldShowLogViewer };
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    return { shouldShowLogViewer: system.shouldShowLogViewer };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
+/**
+ * Basic log viewer, floats on bottom of page.
+ */
 const LogViewer = () => {
-    const dispatch = useAppDispatch();
-    const bg = useColorModeValue('gray.50', 'gray.900');
-    const borderColor = useColorModeValue('gray.500', 'gray.500');
-    const [shouldAutoscroll, setShouldAutoscroll] = useState<boolean>(true);
+  const dispatch = useAppDispatch();
+  const log = useAppSelector(logSelector);
+  const { shouldShowLogViewer } = useAppSelector(systemSelector);
 
-    const log = useAppSelector(logSelector);
-    const { shouldShowLogViewer } = useAppSelector(systemSelector);
+  const bg = useColorModeValue('gray.50', 'gray.900');
+  const borderColor = useColorModeValue('gray.500', 'gray.500');
 
-    const viewerRef = useRef<HTMLDivElement>(null);
+  // Rudimentary autoscroll
+  const [shouldAutoscroll, setShouldAutoscroll] = useState<boolean>(true);
+  const viewerRef = useRef<HTMLDivElement>(null);
 
-    useLayoutEffect(() => {
-        if (viewerRef.current !== null && shouldAutoscroll) {
-            viewerRef.current.scrollTop = viewerRef.current.scrollHeight;
-        }
-    });
+  useLayoutEffect(() => {
+    if (viewerRef.current !== null && shouldAutoscroll) {
+      viewerRef.current.scrollTop = viewerRef.current.scrollHeight;
+    }
+  }, [shouldAutoscroll]);
 
-    return (
-        <>
-            {shouldShowLogViewer && (
-                <Flex
-                    position={'fixed'}
-                    left={0}
-                    bottom={0}
-                    height='200px'
-                    width='100vw'
-                    overflow='auto'
-                    direction='column'
-                    fontFamily='monospace'
-                    fontSize='sm'
-                    pl={12}
-                    pr={2}
-                    pb={2}
-                    borderTopWidth='4px'
-                    borderColor={borderColor}
-                    background={bg}
-                    ref={viewerRef}
-                >
-                    {log.map((entry, i) => (
-                        <Flex gap={2} key={i}>
-                            <Text fontSize='sm' fontWeight={'semibold'}>
-                                {entry.timestamp}:
-                            </Text>
-                            <Text fontSize='sm' wordBreak={'break-all'}>
-                                {entry.message}
-                            </Text>
-                        </Flex>
-                    ))}
-                </Flex>
-            )}
-            {shouldShowLogViewer && (
-                <Tooltip
-                    label={
-                        shouldAutoscroll ? 'Autoscroll on' : 'Autoscroll off'
-                    }
-                >
-                    <IconButton
-                        size='sm'
-                        position={'fixed'}
-                        left={2}
-                        bottom={12}
-                        aria-label='Toggle autoscroll'
-                        variant={'solid'}
-                        colorScheme={shouldAutoscroll ? 'blue' : 'gray'}
-                        icon={<FaAngleDoubleDown />}
-                        onClick={() => setShouldAutoscroll(!shouldAutoscroll)}
-                    />
-                </Tooltip>
-            )}
-            <Tooltip label={shouldShowLogViewer ? 'Hide logs' : 'Show logs'}>
-                <IconButton
-                    size='sm'
-                    position={'fixed'}
-                    left={2}
-                    bottom={2}
-                    variant={'solid'}
-                    aria-label='Toggle Log Viewer'
-                    icon={shouldShowLogViewer ? <FaMinus /> : <FaCode />}
-                    onClick={() =>
-                        dispatch(setShouldShowLogViewer(!shouldShowLogViewer))
-                    }
-                />
-            </Tooltip>
-        </>
-    );
+  return (
+    <>
+      {shouldShowLogViewer && (
+        <Flex
+          position={'fixed'}
+          left={0}
+          bottom={0}
+          height="200px" // TODO: Make the log viewer resizeable.
+          width="100vw"
+          overflow="auto"
+          direction="column"
+          fontFamily="monospace"
+          fontSize="sm"
+          pl={12}
+          pr={2}
+          pb={2}
+          borderTopWidth="4px"
+          borderColor={borderColor}
+          background={bg}
+          ref={viewerRef}
+        >
+          {log.map((entry, i) => (
+            <Flex gap={2} key={i}>
+              <Text fontSize="sm" fontWeight={'semibold'}>
+                {entry.timestamp}:
+              </Text>
+              <Text fontSize="sm" wordBreak={'break-all'}>
+                {entry.message}
+              </Text>
+            </Flex>
+          ))}
+        </Flex>
+      )}
+      {shouldShowLogViewer && (
+        <Tooltip label={shouldAutoscroll ? 'Autoscroll on' : 'Autoscroll off'}>
+          <IconButton
+            size="sm"
+            position={'fixed'}
+            left={2}
+            bottom={12}
+            aria-label="Toggle autoscroll"
+            variant={'solid'}
+            colorScheme={shouldAutoscroll ? 'blue' : 'gray'}
+            icon={<FaAngleDoubleDown />}
+            onClick={() => setShouldAutoscroll(!shouldAutoscroll)}
+          />
+        </Tooltip>
+      )}
+      <Tooltip label={shouldShowLogViewer ? 'Hide logs' : 'Show logs'}>
+        <IconButton
+          size="sm"
+          position={'fixed'}
+          left={2}
+          bottom={2}
+          variant={'solid'}
+          aria-label="Toggle Log Viewer"
+          icon={shouldShowLogViewer ? <FaMinus /> : <FaCode />}
+          onClick={() => dispatch(setShouldShowLogViewer(!shouldShowLogViewer))}
+        />
+      </Tooltip>
+    </>
+  );
 };
 
 export default LogViewer;
diff --git a/frontend/src/features/system/SettingsModal.tsx b/frontend/src/features/system/SettingsModal.tsx
index 954bc7d668..82a2c7347c 100644
--- a/frontend/src/features/system/SettingsModal.tsx
+++ b/frontend/src/features/system/SettingsModal.tsx
@@ -1,170 +1,164 @@
 import {
-    Flex,
-    FormControl,
-    FormLabel,
-    Heading,
-    HStack,
-    Modal,
-    ModalBody,
-    ModalCloseButton,
-    ModalContent,
-    ModalFooter,
-    ModalHeader,
-    ModalOverlay,
-    Switch,
-    Text,
-    useDisclosure,
+  Button,
+  Flex,
+  FormControl,
+  FormLabel,
+  Heading,
+  HStack,
+  Modal,
+  ModalBody,
+  ModalCloseButton,
+  ModalContent,
+  ModalFooter,
+  ModalHeader,
+  ModalOverlay,
+  Switch,
+  Text,
+  useDisclosure,
 } from '@chakra-ui/react';
 import { useAppDispatch, useAppSelector } from '../../app/hooks';
 import {
-    setShouldConfirmOnDelete,
-    setShouldDisplayInProgress,
-    SystemState,
+  setShouldConfirmOnDelete,
+  setShouldDisplayInProgress,
+  SystemState,
 } from './systemSlice';
 import { RootState } from '../../app/store';
-import SDButton from '../../components/SDButton';
 import { persistor } from '../../main';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { cloneElement, ReactElement } from 'react';
 
 const systemSelector = createSelector(
-    (state: RootState) => state.system,
-    (system: SystemState) => {
-        const { shouldDisplayInProgress, shouldConfirmOnDelete } = system;
-        return { shouldDisplayInProgress, shouldConfirmOnDelete };
-    },
-    {
-        memoizeOptions: { resultEqualityCheck: isEqual },
-    }
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    const { shouldDisplayInProgress, shouldConfirmOnDelete } = system;
+    return { shouldDisplayInProgress, shouldConfirmOnDelete };
+  },
+  {
+    memoizeOptions: { resultEqualityCheck: isEqual },
+  }
 );
 
-type Props = {
-    children: ReactElement;
+type SettingsModalProps = {
+  /* The button to open the Settings Modal */
+  children: ReactElement;
 };
 
-const SettingsModal = ({ children }: Props) => {
-    const {
-        isOpen: isSettingsModalOpen,
-        onOpen: onSettingsModalOpen,
-        onClose: onSettingsModalClose,
-    } = useDisclosure();
+/**
+ * Modal for app settings. Also provides Reset functionality in which the
+ * app's localstorage is wiped via redux-persist.
+ *
+ * Secondary post-reset modal is included here.
+ */
+const SettingsModal = ({ children }: SettingsModalProps) => {
+  const {
+    isOpen: isSettingsModalOpen,
+    onOpen: onSettingsModalOpen,
+    onClose: onSettingsModalClose,
+  } = useDisclosure();
 
-    const {
-        isOpen: isRefreshModalOpen,
-        onOpen: onRefreshModalOpen,
-        onClose: onRefreshModalClose,
-    } = useDisclosure();
+  const {
+    isOpen: isRefreshModalOpen,
+    onOpen: onRefreshModalOpen,
+    onClose: onRefreshModalClose,
+  } = useDisclosure();
 
-    const { shouldDisplayInProgress, shouldConfirmOnDelete } =
-        useAppSelector(systemSelector);
+  const { shouldDisplayInProgress, shouldConfirmOnDelete } =
+    useAppSelector(systemSelector);
 
-    const dispatch = useAppDispatch();
+  const dispatch = useAppDispatch();
 
-    const handleClickResetWebUI = () => {
-        persistor.purge().then(() => {
-            onSettingsModalClose();
-            onRefreshModalOpen();
-        });
-    };
+  /**
+   * Resets localstorage, then opens a secondary modal informing user to
+   * refresh their browser.
+   * */
+  const handleClickResetWebUI = () => {
+    persistor.purge().then(() => {
+      onSettingsModalClose();
+      onRefreshModalOpen();
+    });
+  };
 
-    return (
-        <>
-            {cloneElement(children, {
-                onClick: onSettingsModalOpen,
-            })}
+  return (
+    <>
+      {cloneElement(children, {
+        onClick: onSettingsModalOpen,
+      })}
 
-            <Modal isOpen={isSettingsModalOpen} onClose={onSettingsModalClose}>
-                <ModalOverlay />
-                <ModalContent>
-                    <ModalHeader>Settings</ModalHeader>
-                    <ModalCloseButton />
-                    <ModalBody>
-                        <Flex gap={5} direction='column'>
-                            <FormControl>
-                                <HStack>
-                                    <FormLabel marginBottom={1}>
-                                        Display in-progress images (slower)
-                                    </FormLabel>
-                                    <Switch
-                                        isChecked={shouldDisplayInProgress}
-                                        onChange={(e) =>
-                                            dispatch(
-                                                setShouldDisplayInProgress(
-                                                    e.target.checked
-                                                )
-                                            )
-                                        }
-                                    />
-                                </HStack>
-                            </FormControl>
-                            <FormControl>
-                                <HStack>
-                                    <FormLabel marginBottom={1}>
-                                        Confirm on delete
-                                    </FormLabel>
-                                    <Switch
-                                        isChecked={shouldConfirmOnDelete}
-                                        onChange={(e) =>
-                                            dispatch(
-                                                setShouldConfirmOnDelete(
-                                                    e.target.checked
-                                                )
-                                            )
-                                        }
-                                    />
-                                </HStack>
-                            </FormControl>
+      <Modal isOpen={isSettingsModalOpen} onClose={onSettingsModalClose}>
+        <ModalOverlay />
+        <ModalContent>
+          <ModalHeader>Settings</ModalHeader>
+          <ModalCloseButton />
+          <ModalBody>
+            <Flex gap={5} direction="column">
+              <FormControl>
+                <HStack>
+                  <FormLabel marginBottom={1}>
+                    Display in-progress images (slower)
+                  </FormLabel>
+                  <Switch
+                    isChecked={shouldDisplayInProgress}
+                    onChange={(e) =>
+                      dispatch(setShouldDisplayInProgress(e.target.checked))
+                    }
+                  />
+                </HStack>
+              </FormControl>
+              <FormControl>
+                <HStack>
+                  <FormLabel marginBottom={1}>Confirm on delete</FormLabel>
+                  <Switch
+                    isChecked={shouldConfirmOnDelete}
+                    onChange={(e) =>
+                      dispatch(setShouldConfirmOnDelete(e.target.checked))
+                    }
+                  />
+                </HStack>
+              </FormControl>
 
-                            <Heading size={'md'}>Reset Web UI</Heading>
-                            <Text>
-                                Resetting the web UI only resets the browser's
-                                local cache of your images and remembered
-                                settings. It does not delete any images from
-                                disk.
-                            </Text>
-                            <Text>
-                                If images aren't showing up in the gallery or
-                                something else isn't working, please try
-                                resetting before submitting an issue on GitHub.
-                            </Text>
-                            <SDButton
-                                label='Reset Web UI'
-                                colorScheme='red'
-                                onClick={handleClickResetWebUI}
-                            />
-                        </Flex>
-                    </ModalBody>
+              <Heading size={'md'}>Reset Web UI</Heading>
+              <Text>
+                Resetting the web UI only resets the browser's local cache of
+                your images and remembered settings. It does not delete any
+                images from disk.
+              </Text>
+              <Text>
+                If images aren't showing up in the gallery or something else
+                isn't working, please try resetting before submitting an issue
+                on GitHub.
+              </Text>
+              <Button colorScheme="red" onClick={handleClickResetWebUI}>
+                Reset Web UI
+              </Button>
+            </Flex>
+          </ModalBody>
 
-                    <ModalFooter>
-                        <SDButton
-                            label='Close'
-                            onClick={onSettingsModalClose}
-                        />
-                    </ModalFooter>
-                </ModalContent>
-            </Modal>
+          <ModalFooter>
+            <Button onClick={onSettingsModalClose}>Close</Button>
+          </ModalFooter>
+        </ModalContent>
+      </Modal>
 
-            <Modal
-                closeOnOverlayClick={false}
-                isOpen={isRefreshModalOpen}
-                onClose={onRefreshModalClose}
-                isCentered
-            >
-                <ModalOverlay bg='blackAlpha.300' backdropFilter='blur(40px)' />
-                <ModalContent>
-                    <ModalBody pb={6} pt={6}>
-                        <Flex justifyContent={'center'}>
-                            <Text fontSize={'lg'}>
-                                Web UI has been reset. Refresh the page to
-                                reload.
-                            </Text>
-                        </Flex>
-                    </ModalBody>
-                </ModalContent>
-            </Modal>
-        </>
-    );
+      <Modal
+        closeOnOverlayClick={false}
+        isOpen={isRefreshModalOpen}
+        onClose={onRefreshModalClose}
+        isCentered
+      >
+        <ModalOverlay bg="blackAlpha.300" backdropFilter="blur(40px)" />
+        <ModalContent>
+          <ModalBody pb={6} pt={6}>
+            <Flex justifyContent={'center'}>
+              <Text fontSize={'lg'}>
+                Web UI has been reset. Refresh the page to reload.
+              </Text>
+            </Flex>
+          </ModalBody>
+        </ModalContent>
+      </Modal>
+    </>
+  );
 };
 
 export default SettingsModal;
diff --git a/frontend/src/features/system/useCheckParameters.ts b/frontend/src/features/system/useCheckParameters.ts
index da06903eae..cd55c351a3 100644
--- a/frontend/src/features/system/useCheckParameters.ts
+++ b/frontend/src/features/system/useCheckParameters.ts
@@ -8,101 +8,97 @@ import { validateSeedWeights } from '../sd/util/seedWeightPairs';
 import { SystemState } from './systemSlice';
 
 const sdSelector = createSelector(
-    (state: RootState) => state.sd,
-    (sd: SDState) => {
-        return {
-            prompt: sd.prompt,
-            shouldGenerateVariations: sd.shouldGenerateVariations,
-            seedWeights: sd.seedWeights,
-            maskPath: sd.maskPath,
-            initialImagePath: sd.initialImagePath,
-            seed: sd.seed,
-        };
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      prompt: sd.prompt,
+      shouldGenerateVariations: sd.shouldGenerateVariations,
+      seedWeights: sd.seedWeights,
+      maskPath: sd.maskPath,
+      initialImagePath: sd.initialImagePath,
+      seed: sd.seed,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
 const systemSelector = createSelector(
-    (state: RootState) => state.system,
-    (system: SystemState) => {
-        return {
-            isProcessing: system.isProcessing,
-            isConnected: system.isConnected,
-        };
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    return {
+      isProcessing: system.isProcessing,
+      isConnected: system.isConnected,
+    };
+  },
+  {
+    memoizeOptions: {
+      resultEqualityCheck: isEqual,
     },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+  }
 );
 
-/*
-Checks relevant pieces of state to confirm generation will not deterministically fail.
+/**
+ * Checks relevant pieces of state to confirm generation will not deterministically fail.
+ * This is used to prevent the 'Generate' button from being clicked.
+ */
+const useCheckParameters = (): boolean => {
+  const {
+    prompt,
+    shouldGenerateVariations,
+    seedWeights,
+    maskPath,
+    initialImagePath,
+    seed,
+  } = useAppSelector(sdSelector);
 
-This is used to prevent the 'Generate' button from being clicked.
+  const { isProcessing, isConnected } = useAppSelector(systemSelector);
 
-Other parameter values may cause failure but we rely on input validation for those.
-*/
-const useCheckParameters = () => {
-    const {
-        prompt,
-        shouldGenerateVariations,
-        seedWeights,
-        maskPath,
-        initialImagePath,
-        seed,
-    } = useAppSelector(sdSelector);
+  return useMemo(() => {
+    // Cannot generate without a prompt
+    if (!prompt) {
+      return false;
+    }
 
-    const { isProcessing, isConnected } = useAppSelector(systemSelector);
+    //  Cannot generate with a mask without img2img
+    if (maskPath && !initialImagePath) {
+      return false;
+    }
 
-    return useMemo(() => {
-        // Cannot generate without a prompt
-        if (!prompt) {
-            return false;
-        }
+    // TODO: job queue
+    // Cannot generate if already processing an image
+    if (isProcessing) {
+      return false;
+    }
 
-        //  Cannot generate with a mask without img2img
-        if (maskPath && !initialImagePath) {
-            return false;
-        }
+    // Cannot generate if not connected
+    if (!isConnected) {
+      return false;
+    }
 
-        // TODO: job queue
-        // Cannot generate if already processing an image
-        if (isProcessing) {
-            return false;
-        }
+    // Cannot generate variations without valid seed weights
+    if (
+      shouldGenerateVariations &&
+      (!(validateSeedWeights(seedWeights) || seedWeights === '') || seed === -1)
+    ) {
+      return false;
+    }
 
-        // Cannot generate if not connected
-        if (!isConnected) {
-            return false;
-        }
-
-        // Cannot generate variations without valid seed weights
-        if (
-            shouldGenerateVariations &&
-            (!(validateSeedWeights(seedWeights) || seedWeights === '') ||
-                seed === -1)
-        ) {
-            return false;
-        }
-
-        // All good
-        return true;
-    }, [
-        prompt,
-        maskPath,
-        initialImagePath,
-        isProcessing,
-        isConnected,
-        shouldGenerateVariations,
-        seedWeights,
-        seed,
-    ]);
+    // All good
+    return true;
+  }, [
+    prompt,
+    maskPath,
+    initialImagePath,
+    isProcessing,
+    isConnected,
+    shouldGenerateVariations,
+    seedWeights,
+    seed,
+  ]);
 };
 
 export default useCheckParameters;

From c6c19f1b3c1a61efbac72bebc73141741301c792 Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <3804335+santisbon@users.noreply.github.com>
Date: Sat, 17 Sep 2022 01:39:49 -0500
Subject: [PATCH 052/110] Remove unnecessary wget

---
 docker-build/Dockerfile | 2 --
 1 file changed, 2 deletions(-)

diff --git a/docker-build/Dockerfile b/docker-build/Dockerfile
index 8922cdfde5..dd6d898ce5 100644
--- a/docker-build/Dockerfile
+++ b/docker-build/Dockerfile
@@ -23,7 +23,6 @@ RUN         apt update && apt upgrade -y \
             libglib2.0-0 \
             pip \
             python3 \
-            wget \
             && git clone $GITHUB_STABLE_DIFFUSION
 
 # Install Anaconda or Miniconda
@@ -48,7 +47,6 @@ RUN         git clone https://github.com/TencentARC/GFPGAN.git
 WORKDIR     /GFPGAN 
 RUN         pip3 install -r requirements.txt \
             && python3 setup.py develop \
-            # && wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P experiments/pretrained_models 
             && ln -s "/data/GFPGANv1.3.pth" experiments/pretrained_models/GFPGANv1.3.pth
 
 WORKDIR     /stable-diffusion 

From b74354795d2c2f62d8613036c9a56e5a9832e243 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sat, 17 Sep 2022 17:19:09 +1000
Subject: [PATCH 053/110] Delete sends img to trash instead of delete

---
 backend/server.py    | 3 ++-
 environment-mac.yaml | 1 +
 environment.yaml     | 1 +
 3 files changed, 4 insertions(+), 1 deletion(-)

diff --git a/backend/server.py b/backend/server.py
index ef93c5b0d7..cce4c70b8f 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -15,6 +15,7 @@ from PIL import Image
 from pytorch_lightning import logging
 from threading import Event
 from uuid import uuid4
+from send2trash import send2trash
 
 from ldm.gfpgan.gfpgan_tools import real_esrgan_upscale
 from ldm.gfpgan.gfpgan_tools import run_gfpgan
@@ -228,7 +229,7 @@ def handle_cancel():
 @socketio.on('deleteImage')
 def handle_delete_image(path):
     print(f'>> Delete requested "{path}"')
-    Path(path).unlink()
+    send2trash(path)
     return make_response("OK")
 
 
diff --git a/environment-mac.yaml b/environment-mac.yaml
index 8e1007d4cf..bf8e870d77 100644
--- a/environment-mac.yaml
+++ b/environment-mac.yaml
@@ -48,6 +48,7 @@ dependencies:
     - opencv-python==4.6.0
     - protobuf==3.20.1
     - realesrgan==0.2.5.0
+    - send2trash==1.8.0
     - test-tube==0.7.5
     - transformers==4.21.2
     - torch-fidelity==0.3.0
diff --git a/environment.yaml b/environment.yaml
index 6ca403e204..621079f5ef 100644
--- a/environment.yaml
+++ b/environment.yaml
@@ -20,6 +20,7 @@ dependencies:
     - realesrgan==0.2.5.0
     - test-tube>=0.7.5
     - streamlit==1.12.0
+    - send2trash==1.8.0
     - pillow==6.2.0
     - einops==0.3.0
     - torch-fidelity==0.3.0

From e994073b5bdfa3c77313681c5944be1544eb65b6 Mon Sep 17 00:00:00 2001
From: tildebyte <337875+tildebyte@users.noreply.github.com>
Date: Sat, 17 Sep 2022 14:12:14 -0400
Subject: [PATCH 054/110] fix(ci): Cherry-pick new CI to main (#646)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* Added linux to the workflows

- rename workflow files

Signed-off-by: Ben Alkov <ben.alkov@gmail.com>

* fixes: run on merge to 'main', 'dev';

- reduce dev merge test cases to 1 (1 takes 11 minutes 😯)
- fix model cache name

Signed-off-by: Ben Alkov <ben.alkov@gmail.com>

* add test prompts to workflows

Signed-off-by: Ben Alkov <ben.alkov@gmail.com>

Signed-off-by: Ben Alkov <ben.alkov@gmail.com>
Co-authored-by: James Reynolds <magnsuviri@me.com>
---
 .github/workflows/cache-model.yml       | 64 ----------------
 .github/workflows/create-caches.yml     | 70 ++++++++++++++++++
 .github/workflows/macos12-miniconda.yml | 80 --------------------
 .github/workflows/test-dream-conda.yml  | 97 +++++++++++++++++++++++++
 tests/dev_prompts.txt                   |  1 +
 tests/preflight_prompts.txt             |  9 +++
 tests/prompts.txt                       |  1 -
 7 files changed, 177 insertions(+), 145 deletions(-)
 delete mode 100644 .github/workflows/cache-model.yml
 create mode 100644 .github/workflows/create-caches.yml
 delete mode 100644 .github/workflows/macos12-miniconda.yml
 create mode 100644 .github/workflows/test-dream-conda.yml
 create mode 100644 tests/dev_prompts.txt
 create mode 100644 tests/preflight_prompts.txt
 delete mode 100644 tests/prompts.txt

diff --git a/.github/workflows/cache-model.yml b/.github/workflows/cache-model.yml
deleted file mode 100644
index 2682943eef..0000000000
--- a/.github/workflows/cache-model.yml
+++ /dev/null
@@ -1,64 +0,0 @@
-name: Cache Model
-on:
-  workflow_dispatch
-jobs:
-  build:
-    strategy:
-      matrix:
-        os: [ macos-12 ]
-    name: Create Caches using ${{ matrix.os }}
-    runs-on: ${{ matrix.os }}
-    steps:
-      - name: Checkout sources
-        uses: actions/checkout@v3
-      - name: Cache model
-        id: cache-sd-v1-4
-        uses: actions/cache@v3
-        env:
-          cache-name: cache-sd-v1-4
-        with:
-          path: models/ldm/stable-diffusion-v1/model.ckpt
-          key: ${{ env.cache-name }}
-          restore-keys: |
-            ${{ env.cache-name }}
-      - name: Download Stable Diffusion v1.4 model
-        if: ${{ steps.cache-sd-v1-4.outputs.cache-hit != 'true' }}
-        continue-on-error: true
-        run: |
-          if [ ! -e models/ldm/stable-diffusion-v1 ]; then
-              mkdir -p models/ldm/stable-diffusion-v1
-          fi
-          if [ ! -e models/ldm/stable-diffusion-v1/model.ckpt ]; then
-            curl -o models/ldm/stable-diffusion-v1/model.ckpt ${{ secrets.SD_V1_4_URL }}
-          fi
-# Uncomment this when we no longer make changes to environment-mac.yaml
-#       - name: Cache environment
-#         id: cache-conda-env-ldm
-#         uses: actions/cache@v3
-#         env:
-#           cache-name: cache-conda-env-ldm
-#         with:
-#           path: ~/.conda/envs/ldm
-#           key: ${{ env.cache-name }}
-#           restore-keys: |
-#             ${{ env.cache-name }}
-      - name: Install dependencies
-#         if: ${{ steps.cache-conda-env-ldm.outputs.cache-hit != 'true' }}
-        run: |
-          conda env create -f environment-mac.yaml
-      - name: Cache hugginface and torch models
-        id: cache-hugginface-torch
-        uses: actions/cache@v3
-        env:
-          cache-name: cache-hugginface-torch
-        with:
-          path: ~/.cache
-          key: ${{ env.cache-name }}
-          restore-keys: |
-            ${{ env.cache-name }}
-      - name: Download Huggingface and Torch models
-        if: ${{ steps.cache-hugginface-torch.outputs.cache-hit != 'true' }}
-        continue-on-error: true
-        run: |
-          export PYTHON_BIN=/usr/local/miniconda/envs/ldm/bin/python
-          $PYTHON_BIN scripts/preload_models.py
\ No newline at end of file
diff --git a/.github/workflows/create-caches.yml b/.github/workflows/create-caches.yml
new file mode 100644
index 0000000000..951718af1b
--- /dev/null
+++ b/.github/workflows/create-caches.yml
@@ -0,0 +1,70 @@
+name: Create Caches
+on:
+  workflow_dispatch
+jobs:
+  build:
+    strategy:
+      matrix:
+        os: [ ubuntu-latest, macos-12 ]
+    name: Create Caches on ${{ matrix.os }} conda
+    runs-on: ${{ matrix.os }}
+    steps:
+      - name: Set platform variables
+        id: vars
+        run: |
+            if [ "$RUNNER_OS" = "macOS" ]; then
+                echo "::set-output name=ENV_FILE::environment-mac.yaml"
+                echo "::set-output name=PYTHON_BIN::/usr/local/miniconda/envs/ldm/bin/python"
+            elif [ "$RUNNER_OS" = "Linux" ]; then
+                echo "::set-output name=ENV_FILE::environment.yaml"
+                echo "::set-output name=PYTHON_BIN::/usr/share/miniconda/envs/ldm/bin/python"
+            fi
+      - name: Checkout sources
+        uses: actions/checkout@v3
+      - name: Use Cached Stable Diffusion v1.4 Model
+        id: cache-sd-v1-4
+        uses: actions/cache@v3
+        env:
+          cache-name: cache-sd-v1-4
+        with:
+          path: models/ldm/stable-diffusion-v1/model.ckpt
+          key: ${{ env.cache-name }}
+          restore-keys: |
+            ${{ env.cache-name }}
+      - name: Download Stable Diffusion v1.4 Model
+        if: ${{ steps.cache-sd-v1-4.outputs.cache-hit != 'true' }}
+        run: |
+          if [ ! -e models/ldm/stable-diffusion-v1 ]; then
+              mkdir -p models/ldm/stable-diffusion-v1
+          fi
+          if [ ! -e models/ldm/stable-diffusion-v1/model.ckpt ]; then
+            curl -o models/ldm/stable-diffusion-v1/model.ckpt ${{ secrets.SD_V1_4_URL }}
+          fi
+      - name: Use Cached Dependencies
+        id: cache-conda-env-ldm
+        uses: actions/cache@v3
+        env:
+          cache-name: cache-conda-env-ldm
+        with:
+          path: ~/.conda/envs/ldm
+          key: ${{ env.cache-name }}
+          restore-keys: |
+            ${{ env.cache-name }}-${{ runner.os }}-${{ hashFiles(steps.vars.outputs.ENV_FILE) }}
+      - name: Install Dependencies
+        if: ${{ steps.cache-conda-env-ldm.outputs.cache-hit != 'true' }}
+        run: |
+          conda env create -f ${{ steps.vars.outputs.ENV_FILE }}
+      - name: Use Cached Huggingface and Torch models
+        id: cache-huggingface-torch
+        uses: actions/cache@v3
+        env:
+          cache-name: cache-huggingface-torch
+        with:
+          path: ~/.cache
+          key: ${{ env.cache-name }}
+          restore-keys: |
+            ${{ env.cache-name }}-${{ hashFiles('scripts/preload_models.py') }}
+      - name: Download Huggingface and Torch models
+        if: ${{ steps.cache-huggingface-torch.outputs.cache-hit != 'true' }}
+        run: |
+          ${{ steps.vars.outputs.PYTHON_BIN }} scripts/preload_models.py
diff --git a/.github/workflows/macos12-miniconda.yml b/.github/workflows/macos12-miniconda.yml
deleted file mode 100644
index 18f21277c0..0000000000
--- a/.github/workflows/macos12-miniconda.yml
+++ /dev/null
@@ -1,80 +0,0 @@
-name: Build
-on: 
-  push:
-    branches: [ main ]
-  pull_request:
-    branches: [ main ]
-jobs:
-  build:
-    strategy:
-      matrix:
-        os: [ macos-12 ]
-    name: Build on ${{ matrix.os }} miniconda
-    runs-on: ${{ matrix.os }}
-    steps:
-      - name: Checkout sources
-        uses: actions/checkout@v3
-      - name: Cache model
-        id: cache-sd-v1-4
-        uses: actions/cache@v3
-        env:
-          cache-name: cache-sd-v1-4
-        with:
-          path: models/ldm/stable-diffusion-v1/model.ckpt
-          key: ${{ env.cache-name }}
-          restore-keys: |
-            ${{ env.cache-name }}
-      - name: Download Stable Diffusion v1.4 model
-        if: ${{ steps.cache-sd-v1-4.outputs.cache-hit != 'true' }}
-        continue-on-error: true
-        run: |
-          if [ ! -e models/ldm/stable-diffusion-v1 ]; then
-              mkdir -p models/ldm/stable-diffusion-v1
-          fi
-          if [ ! -e models/ldm/stable-diffusion-v1/model.ckpt ]; then
-            curl -o models/ldm/stable-diffusion-v1/model.ckpt ${{ secrets.SD_V1_4_URL }}
-          fi
-# Uncomment this when we no longer make changes to environment-mac.yaml
-#       - name: Cache environment
-#         id: cache-conda-env-ldm
-#         uses: actions/cache@v3
-#         env:
-#           cache-name: cache-conda-env-ldm
-#         with:
-#           path: ~/.conda/envs/ldm
-#           key: ${{ env.cache-name }}
-#           restore-keys: |
-#             ${{ env.cache-name }}
-      - name: Install dependencies
-#         if: ${{ steps.cache-conda-env-ldm.outputs.cache-hit != 'true' }}
-        run: |
-          conda env create -f environment-mac.yaml
-      - name: Cache hugginface and torch models
-        id: cache-hugginface-torch
-        uses: actions/cache@v3
-        env:
-          cache-name: cache-hugginface-torch
-        with:
-          path: ~/.cache
-          key: ${{ env.cache-name }}
-          restore-keys: |
-            ${{ env.cache-name }}
-      - name: Download Huggingface and Torch models
-        if: ${{ steps.cache-hugginface-torch.outputs.cache-hit != 'true' }}
-        continue-on-error: true
-        run: |
-          export PYTHON_BIN=/usr/local/miniconda/envs/ldm/bin/python
-          $PYTHON_BIN scripts/preload_models.py
-      - name: Run the tests
-        run: |
-          # Note, can't "activate" via automation, and activation is just env vars and path
-          export PYTHON_BIN=/usr/local/miniconda/envs/ldm/bin/python
-          export PYTORCH_ENABLE_MPS_FALLBACK=1
-          $PYTHON_BIN scripts/preload_models.py
-          mkdir -p outputs/img-samples
-          time $PYTHON_BIN scripts/dream.py --from_file tests/prompts.txt </dev/null 2> outputs/img-samples/err.log > outputs/img-samples/out.log
-      - name: Archive results
-        uses: actions/upload-artifact@v3
-        with:
-          name: results
-          path: outputs/img-samples
\ No newline at end of file
diff --git a/.github/workflows/test-dream-conda.yml b/.github/workflows/test-dream-conda.yml
new file mode 100644
index 0000000000..3bd9b24582
--- /dev/null
+++ b/.github/workflows/test-dream-conda.yml
@@ -0,0 +1,97 @@
+name: Test Dream with Conda
+on:
+  push:
+    branches:
+      - 'main'
+      - 'development'
+jobs:
+  os_matrix:
+    strategy:
+      matrix:
+        os: [ ubuntu-latest, macos-12 ]
+    name: Test dream.py on ${{ matrix.os }} with conda
+    runs-on: ${{ matrix.os }}
+    steps:
+      - run: |
+          echo The PR was merged
+      - name: Set platform variables
+        id: vars
+        run: |
+          # Note, can't "activate" via github action; specifying the env's python has the same effect
+          if [ "$RUNNER_OS" = "macOS" ]; then
+              echo "::set-output name=ENV_FILE::environment-mac.yaml"
+              echo "::set-output name=PYTHON_BIN::/usr/local/miniconda/envs/ldm/bin/python"
+          elif [ "$RUNNER_OS" = "Linux" ]; then
+              echo "::set-output name=ENV_FILE::environment.yaml"
+              echo "::set-output name=PYTHON_BIN::/usr/share/miniconda/envs/ldm/bin/python"
+          fi
+      - name: Checkout sources
+        uses: actions/checkout@v3
+      - name: Use Cached Stable Diffusion v1.4 Model
+        id: cache-sd-v1-4
+        uses: actions/cache@v3
+        env:
+          cache-name: cache-sd-v1-4
+        with:
+          path: models/ldm/stable-diffusion-v1/model.ckpt
+          key: ${{ env.cache-name }}
+          restore-keys: |
+            ${{ env.cache-name }}
+      - name: Download Stable Diffusion v1.4 Model
+        if: ${{ steps.cache-sd-v1-4.outputs.cache-hit != 'true' }}
+        run: |
+          if [ ! -e models/ldm/stable-diffusion-v1 ]; then
+              mkdir -p models/ldm/stable-diffusion-v1
+          fi
+          if [ ! -e models/ldm/stable-diffusion-v1/model.ckpt ]; then
+            curl -o models/ldm/stable-diffusion-v1/model.ckpt ${{ secrets.SD_V1_4_URL }}
+          fi
+      - name: Use Cached Dependencies
+        id: cache-conda-env-ldm
+        uses: actions/cache@v3
+        env:
+          cache-name: cache-conda-env-ldm
+        with:
+          path: ~/.conda/envs/ldm
+          key: ${{ env.cache-name }}
+          restore-keys: |
+            ${{ env.cache-name }}-${{ runner.os }}-${{ hashFiles(steps.vars.outputs.ENV_FILE) }}
+      - name: Install Dependencies
+        if: ${{ steps.cache-conda-env-ldm.outputs.cache-hit != 'true' }}
+        run: |
+          conda env create -f ${{ steps.vars.outputs.ENV_FILE }}
+      - name: Use Cached Huggingface and Torch models
+        id: cache-hugginface-torch
+        uses: actions/cache@v3
+        env:
+          cache-name: cache-hugginface-torch
+        with:
+          path: ~/.cache
+          key: ${{ env.cache-name }}
+          restore-keys: |
+            ${{ env.cache-name }}-${{ hashFiles('scripts/preload_models.py') }}
+      - name: Download Huggingface and Torch models
+        if: ${{ steps.cache-hugginface-torch.outputs.cache-hit != 'true' }}
+        run: |
+          ${{ steps.vars.outputs.PYTHON_BIN }} scripts/preload_models.py
+#       - name: Run tmate
+#         uses: mxschmitt/action-tmate@v3
+#         timeout-minutes: 30
+      - name: Run the tests
+        run: |
+          # Note, can't "activate" via github action; specifying the env's python has the same effect
+          if [ $(uname) = "Darwin" ]; then
+              export PYTORCH_ENABLE_MPS_FALLBACK=1
+          fi
+          # Utterly hacky, but I don't know how else to do this
+          if [[ ${{ github.ref }} == 'refs/heads/master' ]]; then
+            time ${{ steps.vars.outputs.PYTHON_BIN }} scripts/dream.py --from_file tests/preflight_prompts.txt --full_precision
+          elif [[ ${{ github.ref }} == 'refs/heads/development' ]]; then
+            time ${{ steps.vars.outputs.PYTHON_BIN }} scripts/dream.py --from_file tests/dev_prompts.txt --full_precision
+          fi
+          mkdir -p outputs/img-samples
+      - name: Archive results
+        uses: actions/upload-artifact@v3
+        with:
+          name: results
+          path: outputs/img-samples
diff --git a/tests/dev_prompts.txt b/tests/dev_prompts.txt
new file mode 100644
index 0000000000..9ebca4e9f7
--- /dev/null
+++ b/tests/dev_prompts.txt
@@ -0,0 +1 @@
+banana sushi -Ak_lms -S42
diff --git a/tests/preflight_prompts.txt b/tests/preflight_prompts.txt
new file mode 100644
index 0000000000..5c5b8233a1
--- /dev/null
+++ b/tests/preflight_prompts.txt
@@ -0,0 +1,9 @@
+banana sushi -Ak_lms -S42
+banana sushi -Addim -S42
+banana sushi -Ak_lms -W640 -H480 -S42
+banana sushi -Ak_lms -S42 -G1 -U 2 0.5
+banana sushi -Ak_lms -S42 -v0.2 -n3
+banana sushi -Ak_lms -S42 -V1349749425:0.1,4145759947:0.1
+snake -I outputs/preflight/000006.4145759947.png -S42
+snake -I outputs/preflight/000006.4145759947.png -S42 -W640 -H640 --fit
+strawberry sushi -I./image-and-mask.png -S42 -f0.9 -s100 -C15
\ No newline at end of file
diff --git a/tests/prompts.txt b/tests/prompts.txt
deleted file mode 100644
index 955220a5e6..0000000000
--- a/tests/prompts.txt
+++ /dev/null
@@ -1 +0,0 @@
-test trending on artstation -s 1 -S 1

From e30827e19b250376d8203e76fe4c5b3a483acee5 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sun, 18 Sep 2022 06:13:27 +1000
Subject: [PATCH 055/110] Adds enter keydown > generate

---
 frontend/src/features/sd/PromptInput.tsx | 13 ++++++++++++-
 1 file changed, 12 insertions(+), 1 deletion(-)

diff --git a/frontend/src/features/sd/PromptInput.tsx b/frontend/src/features/sd/PromptInput.tsx
index 30b5e0fa68..5e353b2484 100644
--- a/frontend/src/features/sd/PromptInput.tsx
+++ b/frontend/src/features/sd/PromptInput.tsx
@@ -1,5 +1,8 @@
 import { Textarea } from '@chakra-ui/react';
-import { ChangeEvent } from 'react';
+import {
+  ChangeEvent,
+  KeyboardEvent,
+} from 'react';
 import { useAppDispatch, useAppSelector } from '../../app/hooks';
 import { RootState } from '../../app/store';
 import { setPrompt } from '../sd/sdSlice';
@@ -14,6 +17,13 @@ const PromptInput = () => {
   const handleChangePrompt = (e: ChangeEvent<HTMLTextAreaElement>) =>
     dispatch(setPrompt(e.target.value));
 
+  const handleKeyDown = (e: KeyboardEvent<HTMLTextAreaElement>) => {
+    if (e.key === 'Enter' && e.shiftKey === false) {
+      e.preventDefault();
+      dispatch(generateImage())
+    }
+  };
+
   return (
     <Textarea
       id="prompt"
@@ -23,6 +33,7 @@ const PromptInput = () => {
       height={'100%'}
       isInvalid={!prompt.length}
       onChange={handleChangePrompt}
+      onKeyDown={handleKeyDown}
       value={prompt}
       placeholder="I'm dreaming of..."
     />

From 334045b27da27f6ab192dc8765d5ec7c786d899e Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 00:13:45 +0200
Subject: [PATCH 056/110] fix CompViz assets

---
 .../assets}/stable-samples/img2img/mountains-2.png  | Bin
 .../assets}/stable-samples/img2img/mountains-3.png  | Bin
 .../img2img/sketch-mountains-input.jpg              | Bin
 .../assets}/stable-samples/txt2img/merged-0005.png  | Bin
 .../assets}/stable-samples/txt2img/merged-0006.png  | Bin
 .../assets}/stable-samples/txt2img/merged-0007.png  | Bin
 {assets => docs/assets}/v1-variants-scores.jpg      | Bin
 7 files changed, 0 insertions(+), 0 deletions(-)
 rename {assets => docs/assets}/stable-samples/img2img/mountains-2.png (100%)
 rename {assets => docs/assets}/stable-samples/img2img/mountains-3.png (100%)
 rename {assets => docs/assets}/stable-samples/img2img/sketch-mountains-input.jpg (100%)
 rename {assets => docs/assets}/stable-samples/txt2img/merged-0005.png (100%)
 rename {assets => docs/assets}/stable-samples/txt2img/merged-0006.png (100%)
 rename {assets => docs/assets}/stable-samples/txt2img/merged-0007.png (100%)
 rename {assets => docs/assets}/v1-variants-scores.jpg (100%)

diff --git a/assets/stable-samples/img2img/mountains-2.png b/docs/assets/stable-samples/img2img/mountains-2.png
similarity index 100%
rename from assets/stable-samples/img2img/mountains-2.png
rename to docs/assets/stable-samples/img2img/mountains-2.png
diff --git a/assets/stable-samples/img2img/mountains-3.png b/docs/assets/stable-samples/img2img/mountains-3.png
similarity index 100%
rename from assets/stable-samples/img2img/mountains-3.png
rename to docs/assets/stable-samples/img2img/mountains-3.png
diff --git a/assets/stable-samples/img2img/sketch-mountains-input.jpg b/docs/assets/stable-samples/img2img/sketch-mountains-input.jpg
similarity index 100%
rename from assets/stable-samples/img2img/sketch-mountains-input.jpg
rename to docs/assets/stable-samples/img2img/sketch-mountains-input.jpg
diff --git a/assets/stable-samples/txt2img/merged-0005.png b/docs/assets/stable-samples/txt2img/merged-0005.png
similarity index 100%
rename from assets/stable-samples/txt2img/merged-0005.png
rename to docs/assets/stable-samples/txt2img/merged-0005.png
diff --git a/assets/stable-samples/txt2img/merged-0006.png b/docs/assets/stable-samples/txt2img/merged-0006.png
similarity index 100%
rename from assets/stable-samples/txt2img/merged-0006.png
rename to docs/assets/stable-samples/txt2img/merged-0006.png
diff --git a/assets/stable-samples/txt2img/merged-0007.png b/docs/assets/stable-samples/txt2img/merged-0007.png
similarity index 100%
rename from assets/stable-samples/txt2img/merged-0007.png
rename to docs/assets/stable-samples/txt2img/merged-0007.png
diff --git a/assets/v1-variants-scores.jpg b/docs/assets/v1-variants-scores.jpg
similarity index 100%
rename from assets/v1-variants-scores.jpg
rename to docs/assets/v1-variants-scores.jpg

From ef6609abcb86492c6f4c0c4f9c44b0a6032c2c7c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sun, 18 Sep 2022 10:45:06 +1000
Subject: [PATCH 057/110] Updates frontend/README

---
 frontend/README.md | 23 ++++++++++++-----------
 1 file changed, 12 insertions(+), 11 deletions(-)

diff --git a/frontend/README.md b/frontend/README.md
index a611738808..c1386b6511 100644
--- a/frontend/README.md
+++ b/frontend/README.md
@@ -1,17 +1,18 @@
 # Stable Diffusion Web UI
 
-## Build
-
-from `frontend/`:
-
-- `yarn dev` runs vite dev server
-- `yarn build-dev` builds dev
-- `yarn build` builds prod
-
-from `.`:
-
+## Run
 - `python backend/server.py` serves both frontend and backend at http://localhost:9090
 
+## Dev
+
+1. From `frontend/`, run `yarn dev` to start the dev server.
+2. Note the address it starts up on (probably `http://localhost:5173/`).
+3. Edit `backend/server.py`'s `additional_allowed_origins` to include this address, e.g. `additional_allowed_origins = ['http://localhost:5173']`.
+4. Leaving the dev server running, open a new terminal and go to the project root.
+5. Run `python backend/server.py`.
+6. Navigate to the dev server address e.g. `http://localhost:5173/`.
+
+
 ## TODO
 
 - Search repo for "TODO"
@@ -22,4 +23,4 @@ from `.`:
 - More status info e.g. phase of processing, image we are on of the total count, etc
 - Mobile friendly layout
 - Proper image gallery/viewer/manager
-- Instead of deleting images directly, use something like [send2trash](https://pypi.org/project/Send2Trash/)
+- Help tooltips and such

From 66e9fd47718cd7f9287695d407ce3046e85c81cf Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 03:00:07 +0200
Subject: [PATCH 058/110] fix CLI.md disabled toc in order to view those large
 tables added linebreaks in long cells to stop multiline arguments/shortcut
 added backticks arround arguments to stop interpreting `<...>` as html added
 missing identifiers to codeblocks changed html tags to markdown to insert the
 png

---
 docs/features/CLI.md | 126 ++++++++++++++++++++++---------------------
 1 file changed, 65 insertions(+), 61 deletions(-)

diff --git a/docs/features/CLI.md b/docs/features/CLI.md
index 081af3dbf4..830456829f 100644
--- a/docs/features/CLI.md
+++ b/docs/features/CLI.md
@@ -1,5 +1,7 @@
 ---
 title: CLI
+hide:
+  - toc
 ---
 
 ## **Interactive Command Line Interface**
@@ -47,9 +49,7 @@ dream> q
 00011.png: "there's a fly in my soup" -n6 -g -S 2685670268
 ```
 
-<p align='center'>
-<img src="../assets/dream-py-demo.png"/>
-</p>
+![dream-py-demo](../assets/dream-py-demo.png)
 
 The `dream>` prompt's arguments are pretty much identical to those used in the Discord bot, except
 you don't need to type "!dream" (it doesn't hurt if you do). A significant change is that creation
@@ -63,37 +63,41 @@ global defaults, such as the directory for image outputs and the location of the
 
 ## List of arguments recognized at the command line
 
-These command-line arguments can be passed to dream.py when you first run it from the Windows, Mac
+These command-line arguments can be passed to dream.py when you first run it from the Windows, Mac◊
 or Linux command line. Some set defaults that can be overridden on a per-prompt basis (see [List of
 prompt arguments] (#list-of-prompt-arguments). Others
 
-| Argument                |  Shortcut   | Default                                          | Description                                                                                          |
-| :---------------------- | :---------: | ------------------------------------------------ | ---------------------------------------------------------------------------------------------------- |
-| --help                  |     -h      |                                                  | Print a concise help message.                                                                        |
-| --outdir <path>         |  -o<path>   | outputs/img_samples                              | Location for generated images.                                                                       |
-| --prompt_as_dir         |     -p      | False                                            | Name output directories using the prompt text.                                                       |
-| --from_file <path>      |             | None                                             | Read list of prompts from a file. Use "-" to read from standard input                                |
-| --model <modelname>     |             | stable-diffusion-1.4                             | Loads model specified in configs/models.yaml. Currently one of "stable-diffusion-1.4" or "laion400m" |
-| --full_precision        |     -F      | False                                            | Run in slower full-precision mode. Needed for Macintosh M1/M2 hardware and some older video cards.   |
-| --web                   |             | False                                            | Start in web server mode                                                                             |
-| --host <ip addr>        |             | localhost                                        | Which network interface web server should listen on. Set to 0.0.0.0 to listen on any.                |
-| --port <port>           |             | 9090                                             | Which port web server should listen for requests on.                                                 |
-| --config <path>         |             | configs/models.yaml                              | Configuration file for models and their weights.                                                     |
-| --iterations <int>      |   -n<int>   | 1                                                | How many images to generate per prompt.                                                              |
-| --grid                  |     -g      | False                                            | Save all image series as a grid rather than individually.                                            |
-| --sampler <sampler>     | -A<sampler> | k_lms                                            | Sampler to use. Use -h to get list of available samplers.                                            |
-| --seamless              |             | False                                            | Create interesting effects by tiling elements of the image.                                          |
-| --embedding_path <path> |             | None                                             | Path to pre-trained embedding manager checkpoints, for custom models                                 |
-| --gfpgan_dir            |             | src/gfpgan                                       | Path to where GFPGAN is installed.                                                                   |
-| --gfpgan_model_path     |             | experiments/pretrained_models<br>/GFPGANv1.3.pth | Path to GFPGAN model file, relative to --gfpgan_dir.                                                 |
-| --device <device>       | -d<device>  | torch.cuda.current_device()                      | Device to run SD on, e.g. "cuda:0"                                                                   |
+| Argument                  | Shortcut      | Default                       | Description                                                                                             |
+| ------------------------- | ------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------- |
+| `--help`                  | `-h`          |                               | Print a concise help message.                                                                           |
+| `--outdir <path>`         | `-o<path>`    | `outputs/img_samples`         | Location for generated images.                                                                          |
+| `--prompt_as_dir`         | `-p`          | `False`                       | Name output directories using the prompt text.                                                          |
+| `--from_file <path>`       |               | `None`                        | Read list of prompts from a file. Use "-" to read from<br>standard input                                |
+| `--model <modelname>`     |               | `stable-diffusion-1.4`        | Loads model specified in configs/models.yaml. Currently<br>one of "stable-diffusion-1.4" or "laion400m" |
+| `--full_precision`        | `-F`          | `False`                       | Run in slower full-precision mode. Needed for Macintosh<br>M1/M2 hardware and some older video cards.   |
+| `--web`                   |               | `False`                       | Start in web server mode                                                                                |
+| `--host <ip addr>`        |               | `localhost`                   | Which network interface web server should listen on.<br>Set to 0.0.0.0 to listen on any.                |
+| `--port <port>`           |               | `9090`                        | Which port web server should listen for requests on.                                                    |
+| `--config <path>`          |               | `configs/models.yaml`          | Configuration file for models and their weights.                                                        |
+| `--iterations <int>`      | `-n<int>`     | `1`                           | How many images to generate per prompt.                                                                 |
+| `--grid`                  | `-g`          | `False`                       | Save all image series as a grid rather than individually.                                               |
+| `--sampler <sampler>`     | `-A<sampler>` | `k_lms`                       | Sampler to use. Use -h to get list of available samplers.                                               |
+| `--seamless`              |               | `False`                       | Create interesting effects by tiling elements of the image.                                             |
+| `--embedding_path <path>` |               | `None`                        | Path to pre-trained embedding manager checkpoints,<br>for custom models                                 |
+| `--gfpgan_dir`            |               | `src/gfpgan`                  | Path to where GFPGAN is installed.                                                                      |
+| `--gfpgan_model_path`     |               | see bellow\*                  | Path to GFPGAN model file, relative to `--gfpgan_dir`.                                                  |
+| `--device <device>`       | `-d<device>`  | `torch.cuda.current_device()` | Device to run SD on, e.g. "cuda:0"                                                                      |
+
+\*`experiments/pretrained_models/GFPGANv1.3.pth`
+
+### deprecated
 
 These arguments are deprecated but still work:
 
-| Argument         | Shortcut | Default | Description                                                     |
-| ---------------- | -------- | ------- | --------------------------------------------------------------- |
-| --weights <path> |          | None    | Pth to weights file; use `--model stable-diffusion-1.4` instead |
-| --laion400m      | -l       | False   | Use older LAION400m weights; use `--model=laion400m` instead    |
+| Argument           | Shortcut | Default | Description                                                    |
+| ------------------ | -------- | ------- | -------------------------------------------------------------- |
+| `--weights <path>` |          | `None`  | Pth to weights file; use `--model stable-diffusion-1.4` instead |
+| `--laion400m`      | `-l`     | `False` | Use older LAION400m weights; use `--model=laion400m` instead   |
 
 ### **A note on path names:**
 
@@ -104,7 +108,7 @@ slashes (ick): `C:\\\\path\\\\to\\\\my\\\\file`, or use Linux/Mac style forward
 
 ### List of prompt arguments
 
-After the dream.py script initializes, it will present you with a **dream>** prompt. Here you can
+After the dream.py script initializes, it will present you with a **`dream>`** prompt. Here you can
 enter information to generate images from text (txt2img), to embellish an existing image or sketch
 (img2img), or to selectively alter chosen regions of the image (inpainting).
 
@@ -118,27 +122,27 @@ This will create the requested image with the dimensions 640 (width) and 480 (he
 
 Those are the `dream` commands that apply to txt2img:
 
-| Argument                    | Shortcut         | Default             | Description                                                                                                                                                                                                                                  |
-| --------------------------- | ---------------- | ------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| "my prompt"                 |                  |                     | Text prompt to use. The quotation marks are optional.                                                                                                                                                                                        |
-| --width <int>               | -W<int>          | 512                 | Width of generated image                                                                                                                                                                                                                     |
-| --height <int>              | -H<int>          | 512                 | Height of generated image                                                                                                                                                                                                                    |
-| --iterations <int>          | -n<int>          | 1                   | How many images to generate from this prompt                                                                                                                                                                                                 |
-| --steps <int>               | -s<int>          | 50                  | How many steps of refinement to apply                                                                                                                                                                                                        |
-| --cfg_scale <float>         | -C<float>        | 7.5                 | How hard to try to match the prompt to the generated image; any number greater than 0.0 works, but the useful range is roughly 5.0 to 20.0                                                                                                   |
-| --seed <int>                | -S<int>          | None                | Set the random seed for the next series of images. This can be used to recreate an image generated previously.                                                                                                                               |
-| --sampler <sampler>         | -A<sampler>      | k_lms               | Sampler to use. Use -h to get list of available samplers.                                                                                                                                                                                    |
-| --grid                      | -g               | False               | Turn on grid mode to return a single image combining all the images generated by this prompt                                                                                                                                                 |
-| --individual                | -i               | True                | Turn off grid mode (deprecated; leave off --grid instead)                                                                                                                                                                                    |
-| --outdir <path>             | -o<path>         | outputs/img_samples | Temporarily change the location of these images                                                                                                                                                                                              |
-| --seamless                  |                  | False               | Activate seamless tiling for interesting effects                                                                                                                                                                                             |
-| --log_tokenization          | -t               | False               | Display a color-coded list of the parsed tokens derived from the prompt                                                                                                                                                                      |
-| --skip_normalization        | -x               | False               | Weighted subprompts will not be normalized. See [Weighted Prompts](./OTHER.md#weighted-prompts)                                                                                                                                              |
-| --upscale <int> <float>     | -U <int> <float> | -U 1 0.75           | Upscale image by magnification factor (2, 4), and set strength of upscaling (0.0-1.0). If strength not set, will default to 0.75.                                                                                                            |
-| --gfpgan_strength <float>   | -G <float>       | -G0                 | Fix faces using the GFPGAN algorithm; argument indicates how hard the algorithm should try (0.0-1.0)                                                                                                                                         |
-| --save_original             | -save_orig       | False               | When upscaling or fixing faces, this will cause the original image to be saved rather than replaced.                                                                                                                                         |
-| --variation <float>         | -v<float>        | 0.0                 | Add a bit of noise (0.0=none, 1.0=high) to the image in order to generate a series of variations. Usually used in combination with -S<seed> and -n<int> to generate a series a riffs on a starting image. See [Variations](./VARIATIONS.md). |
-| --with_variations <pattern> | -V<pattern>      | None                | Combine two or more variations. See [Variations](./VARIATIONS.md) for now to use this.                                                                                                                                                       |
+| Argument                      | Shortcut          | Default               | Description                                                                                                                                                                                                                                                  |
+| ----------------------------- | ----------------- | --------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| `"my prompt"`                 |                   |                       | Text prompt to use. The quotation marks are optional.                                                                                                                                                                                                        |
+| `--width <int>`               | `-W<int>`         | `512`                 | Width of generated image                                                                                                                                                                                                                                     |
+| `--height <int>`              | `-H<int>`         | `512`                 | Height of generated image                                                                                                                                                                                                                                    |
+| `--iterations <int>`          | `-n<int>`         | `1`                   | How many images to generate from this prompt                                                                                                                                                                                                                 |
+| `--steps <int>`               | `-s<int>`         | `50`                  | How many steps of refinement to apply                                                                                                                                                                                                                         |
+| `--cfg_scale <float>`          | `-C<float>`        | `7.5`                 | How hard to try to match the prompt to the generated<br>image; any number greater than 0.0<br>works, but the useful range is roughly 5.0 to 20.0                                                                                                             |
+| `--seed <int>`                | `-S<int>`         | `None`                | Set the random seed for the next series of images.<br>This can be used to recreate an image generated previously.                                                                                                                                            |
+| `--sampler <sampler>`         | `-A<sampler>`     | `k_lms`               | Sampler to use. Use -h to get list of available samplers.                                                                                                                                                                                                    |
+| `--grid`                      | `-g`              | `False`               | Turn on grid mode to return a single image combining<br>all the images generated by this prompt                                                                                                                                                              |
+| `--individual`                | `-i`              | `True`                | Turn off grid mode (deprecated; leave off --grid instead)                                                                                                                                                                                                    |
+| `--outdir <path>`             | `-o<path>`        | `outputs/img_samples` | Temporarily change the location of these images                                                                                                                                                                                                              |
+| `--seamless`                  |                   | `False`               | Activate seamless tiling for interesting effects                                                                                                                                                                                                             |
+| `--log_tokenization`          | `-t`              | `False`               | Display a color-coded list of the parsed tokens<br>derived from the prompt                                                                                                                                                                                   |
+| `--skip_normalization`        | `-x`              | `False`               | Weighted subprompts will not be normalized. See<br>[Weighted Prompts](./OTHER.md#weighted-prompts)                                                                                                                                                           |
+| `--upscale <int> <float>`      | `-U <int> <float>` | `-U 1 0.75`           | Upscale image by magnification factor (2, 4), and<br>set strength of upscaling (0.0-1.0).<br>If strength not set, will default to 0.75.                                                                                                                       |
+| `--gfpgan_strength <float>`    | `-G <float>`       | `-G0`                 | Fix faces using the GFPGAN algorithm; argument<br>indicates how hard the algorithm should try (0.0-1.0)                                                                                                                                                      |
+| `--save_original`             | `-save_orig`      | `False`               | When upscaling or fixing faces, this will cause<br>the original image to be saved rather than replaced.                                                                                                                                                       |
+| `--variation <float>`          | `-v<float>`        | `0.0`                 | Add a bit of noise (0.0=none, 1.0=high) to the image<br>in order to generate a series of variations. Usually<br>used in combination with `-S<seed>` and `-n<int>`<br>to generate a series a riffs on a starting image.<br>See [Variations](./VARIATIONS.md). |
+| `--with_variations <pattern>` | `-V<pattern>`     | `None`                | Combine two or more variations. See [Variations](./VARIATIONS.md)<br>for now to use this.                                                                                                                                                                    |
 
 Note that the width and height of the image must be multiples of 64. You can provide different
 values, but they will be rounded down to the nearest multiple of 64.
@@ -156,11 +160,11 @@ of memory if it is large.
 
 In addition to the command-line options recognized by txt2img, img2img accepts additional options:
 
-| Argument           | Shortcut  | Default | Description                                                                                                                                |
-| ------------------ | --------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
-| --init_img <path>  | -I<path>  | None    | Path to the initialization image                                                                                                           |
-| --fit              | -F        | False   | Scale the image to fit into the specified -H and -W dimensions                                                                             |
-| --strength <float> | -s<float> | 0.75    | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99, with higher values replacing the initial image completely. |
+| Argument            | Shortcut   | Default | Description                                                                                                                                   |
+| ------------------- | ---------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------- |
+| `--init_img <path>` | `-I<path>` | `None`  | Path to the initialization image                                                                                                              |
+| `--fit`              | `-F`       | `False` | Scale the image to fit into the specified -H and -W dimensions                                                                                  |
+| `--strength <float>` | `-s<float>` | `0.75`  | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99,<br>with higher values replacing the initial image completely. |
 
 ### This is an example of inpainting
 
@@ -176,9 +180,9 @@ underneath when you create the transparent areas. See [Inpainting](./INPAINTING.
 inpainting accepts all the arguments used for txt2img and img2img, as well as the --mask (-M)
 argument:
 
-| Argument           | Shortcut | Default | Description                                                                                      |
-| ------------------ | -------- | ------- | ------------------------------------------------------------------------------------------------ |
-| --init_mask <path> | -M<path> | None    | Path to an image the same size as the initial_image, with areas for inpainting made transparent. |
+| Argument             | Shortcut   | Default | Description                                                                                      |
+| -------------------- | ---------- | ------- | ------------------------------------------------------------------------------------------------ |
+| `--init_mask <path>` | `-M<path>` | `None`  | Path to an image the same size as the initial_image, with areas for<br>inpainting made transparent. |
 
 ## Command-line editing and completion
 
@@ -198,8 +202,8 @@ editing, and command completion.
 Windows users can get similar, but more limited, functionality if they launch dream.py with the
 "winpty" program:
 
-```
-> winpty python scripts\dream.py
+```cmd
+winpty python scripts\dream.py
 ```
 
 On the Mac and Linux platforms, when you exit dream.py, the last 1000 lines of your command-line
@@ -214,7 +218,7 @@ When specifying file paths using the one-letter shortcuts, the CLI will attempt
 pathnames for you. This is most handy for the -I (init image) and -M (init mask) paths. To initiate
 completion, start the path with a slash ("/") or "./". For example:
 
-```
+```bash
 dream> zebra with a mustache -I./test-pictures<TAB>
 -I./test-pictures/Lincoln-and-Parrot.png  -I./test-pictures/zebra.jpg        -I./test-pictures/madonna.png
 -I./test-pictures/bad-sketch.png          -I./test-pictures/man_with_eagle/

From 6d09f8c6b2ce0871968b39adcdf732abc63e9c55 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 04:09:42 +0200
Subject: [PATCH 059/110] some smaller fixes to linux and windows install

---
 docs/installation/INSTALL_LINUX.md   | 20 ++++++++++---------
 docs/installation/INSTALL_WINDOWS.md | 29 ++++++++++++++--------------
 2 files changed, 25 insertions(+), 24 deletions(-)

diff --git a/docs/installation/INSTALL_LINUX.md b/docs/installation/INSTALL_LINUX.md
index 312ab60482..0cc6388725 100644
--- a/docs/installation/INSTALL_LINUX.md
+++ b/docs/installation/INSTALL_LINUX.md
@@ -2,6 +2,8 @@
 title: Linux
 ---
 
+## Installation
+
 1. You will need to install the following prerequisites if they are not already
    available. Use your operating system's preferred installer.
 
@@ -96,15 +98,15 @@ title: Linux
    launch the dream script (step 8). If you forget to activate the ldm
    environment, the script will fail with multiple `ModuleNotFound` errors.
 
-    ### Updating to newer versions of the script
+## Updating to newer versions of the script
 
-    This distribution is changing rapidly. If you used the `git clone` method
-    (step 5) to download the stable-diffusion directory, then to update to the
-    latest and greatest version, launch the Anaconda window, enter
-    `stable-diffusion` and type:
+This distribution is changing rapidly. If you used the `git clone` method
+(step 5) to download the stable-diffusion directory, then to update to the
+latest and greatest version, launch the Anaconda window, enter
+`stable-diffusion` and type:
 
-    ```bash
-    (ldm) ~/stable-diffusion$ git pull
-    ```
+```bash
+(ldm) ~/stable-diffusion$ git pull
+```
 
-    This will bring your local copy into sync with the remote one.
+This will bring your local copy into sync with the remote one.
diff --git a/docs/installation/INSTALL_WINDOWS.md b/docs/installation/INSTALL_WINDOWS.md
index 8119449717..e9e58c5e5e 100644
--- a/docs/installation/INSTALL_WINDOWS.md
+++ b/docs/installation/INSTALL_WINDOWS.md
@@ -28,17 +28,16 @@ in the wiki
 
 ### **Conda**
 
-1. Install Anaconda3 (miniconda3 version) from here:
-   https://docs.anaconda.com/anaconda/install/windows/
+1. Install Anaconda3 (miniconda3 version) from [here](https://docs.anaconda.com/anaconda/install/windows/)
 
-2. Install Git from here: https://git-scm.com/download/win
+2. Install Git from [here](https://git-scm.com/download/win)
 
 3. Launch Anaconda from the Windows Start menu. This will bring up a command
    window. Type all the remaining commands in this window.
 
 4. Run the command:
 
-    ```bash
+    ```batch
     git clone https://github.com/lstein/stable-diffusion.git
     ```
 
@@ -48,15 +47,15 @@ in the wiki
 5. Enter the newly-created stable-diffusion folder. From this step forward make
    sure that you are working in the stable-diffusion directory!
 
-    ```bash
+    ```batch
     cd stable-diffusion
     ```
 
 6. Run the following two commands:
 
-    ```bash
-    conda env create -f environment.yaml    (step 6a)
-    conda activate ldm                      (step 6b)
+    ```batch
+    conda env create -f environment.yaml
+    conda activate ldm
     ```
 
     This will install all python requirements and activate the "ldm" environment
@@ -64,7 +63,7 @@ in the wiki
 
 7. Run the command:
 
-    ```bash
+    ```batch
     python scripts\preload_models.py
     ```
 
@@ -77,9 +76,9 @@ in the wiki
 8. Now you need to install the weights for the big stable diffusion model.
 
       - For running with the released weights, you will first need to set up an
-        acount with Hugging Face (https://huggingface.co).
+        acount with [Hugging Face](https://huggingface.co).
       - Use your credentials to log in, and then point your browser at
-        https://huggingface.co/CompVis/stable-diffusion-v-1-4-original.
+        [https://huggingface.co/CompVis/stable-diffusion-v-1-4-original](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original).
       - You may be asked to sign a license agreement at this point.
       - Click on "Files and versions" near the top of the page, and then click on
         the file named `sd-v1-4.ckpt`. You'll be taken to a page that prompts you
@@ -90,7 +89,7 @@ in the wiki
       Now run the following commands from **within the stable-diffusion directory**
       to copy the weights file to the right place:
 
-      ```bash
+      ```batch
       mkdir -p models\ldm\stable-diffusion-v1
       copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt
       ```
@@ -102,7 +101,7 @@ in the wiki
 
 9. Start generating images!
 
-    ```bash
+    ```batch
     # for the pre-release weights
     python scripts\dream.py -l
 
@@ -122,14 +121,14 @@ in the wiki
 
 ---
 
-### Updating to newer versions of the script
+## Updating to newer versions of the script
 
 This distribution is changing rapidly. If you used the `git clone` method
 (step 5) to download the stable-diffusion directory, then to update to the
 latest and greatest version, launch the Anaconda window, enter
 `stable-diffusion`, and type:
 
-```bash
+```batch
 git pull
 conda env update -f environment.yaml
 ```

From 0071f43b2c094cb663a6bf1595fc1710c04ffe14 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 04:54:20 +0200
Subject: [PATCH 060/110] use Admonitions for notes, warnings, ...

---
 docs/features/CLI.md               | 22 +++++++++++--------
 docs/features/EMBIGGEN.md          | 27 ++++++++++++------------
 docs/features/TEXTUAL_INVERSION.md |  2 +-
 docs/features/UPSCALE.md           | 34 ++++++++++++++++--------------
 docs/features/VARIATIONS.md        |  3 ++-
 docs/index.md                      | 24 +++++++++++----------
 docs/installation/INSTALL_LINUX.md |  8 ++++---
 7 files changed, 65 insertions(+), 55 deletions(-)

diff --git a/docs/features/CLI.md b/docs/features/CLI.md
index 830456829f..0b27095950 100644
--- a/docs/features/CLI.md
+++ b/docs/features/CLI.md
@@ -22,8 +22,10 @@ be retrieved using scripts/images2prompt.py
 
 The script is confirmed to work on Linux, Windows and Mac systems.
 
-_Note:_ This script runs from the command-line or can be used as a Web application. The Web GUI is
-currently rudimentary, but a much better replacement is on its way.
+!!! note
+
+    This script runs from the command-line or can be used as a Web application. The Web GUI is
+    currently rudimentary, but a much better replacement is on its way.
 
 ```bash
 (ldm) ~/stable-diffusion$ python3 ./scripts/dream.py
@@ -99,12 +101,12 @@ These arguments are deprecated but still work:
 | `--weights <path>` |          | `None`  | Pth to weights file; use `--model stable-diffusion-1.4` instead |
 | `--laion400m`      | `-l`     | `False` | Use older LAION400m weights; use `--model=laion400m` instead   |
 
-### **A note on path names:**
+!!! note
 
-On Windows systems, you may run into problems when passing the dream script standard backslashed
-path names because the Python interpreter treats "\" as an escape. You can either double your
-slashes (ick): `C:\\\\path\\\\to\\\\my\\\\file`, or use Linux/Mac style forward slashes (better):
-`C:/path/to/my/file`.
+    On Windows systems, you may run into problems when passing the dream script standard backslashed
+    path names because the Python interpreter treats `\` as an escape. You can either double your
+    slashes (ick): `C:\\\\path\\\\to\\\\my\\\\file`, or use Linux/Mac style forward slashes (better):
+    `C:/path/to/my/file`.
 
 ### List of prompt arguments
 
@@ -144,8 +146,10 @@ Those are the `dream` commands that apply to txt2img:
 | `--variation <float>`          | `-v<float>`        | `0.0`                 | Add a bit of noise (0.0=none, 1.0=high) to the image<br>in order to generate a series of variations. Usually<br>used in combination with `-S<seed>` and `-n<int>`<br>to generate a series a riffs on a starting image.<br>See [Variations](./VARIATIONS.md). |
 | `--with_variations <pattern>` | `-V<pattern>`     | `None`                | Combine two or more variations. See [Variations](./VARIATIONS.md)<br>for now to use this.                                                                                                                                                                    |
 
-Note that the width and height of the image must be multiples of 64. You can provide different
-values, but they will be rounded down to the nearest multiple of 64.
+!!! note
+
+    The width and height of the image must be multiples of 64. You can provide different
+    values, but they will be rounded down to the nearest multiple of 64.
 
 ### This is an example of img2img
 
diff --git a/docs/features/EMBIGGEN.md b/docs/features/EMBIGGEN.md
index ae12f29b6d..16acd36cba 100644
--- a/docs/features/EMBIGGEN.md
+++ b/docs/features/EMBIGGEN.md
@@ -59,7 +59,6 @@ and it can also be less than one if the init_img is too big.
 Esrgan_strength defaults to 0.75, and the overlap_ratio defaults to
 0.25, both are optional.
 
-
 Unlike Img2Img, the `--width` (`-W`) and `--height` (`-H`) arguments
 do not control the size of the image as a whole, but the size of the
 tiles used to Embiggen the image.
@@ -120,19 +119,19 @@ tiles:
 dream> a photo of puffy clouds over a forest at sunset -s 100 -W 512 -H 512 -I outputs/000002.seed.png -f 0.5 -embiggen_tiles 1 2 3
 ```
 
-## Note
+!!! note
 
-Because the same prompt is used on all the tiled images, and the model
-doesn't have the context of anything outside the tile being run - it
-can end up creating repeated pattern (also called 'motifs') across all
-the tiles based on that prompt. The best way to combat this is
-lowering the `--strength` (`-f`) to stay more true to the init image,
-and increasing the number of steps so there is more compute-time to
-create the detail.  Anecdotally `--strength` 0.35-0.45 works pretty
-well on most things. It may also work great in some examples even with
-the `--strength` set high for patterns, landscapes, or subjects that
-are more abstract. Because this is (relatively) fast, you can also
-always create a few Embiggen'ed images and manually composite them to
-preserve the best parts from each.
+    Because the same prompt is used on all the tiled images, and the model
+    doesn't have the context of anything outside the tile being run - it
+    can end up creating repeated pattern (also called 'motifs') across all
+    the tiles based on that prompt. The best way to combat this is
+    lowering the `--strength` (`-f`) to stay more true to the init image,
+    and increasing the number of steps so there is more compute-time to
+    create the detail.  Anecdotally `--strength` 0.35-0.45 works pretty
+    well on most things. It may also work great in some examples even with
+    the `--strength` set high for patterns, landscapes, or subjects that
+    are more abstract. Because this is (relatively) fast, you can also
+    always create a few Embiggen'ed images and manually composite them to
+    preserve the best parts from each.
 
 Author: [Travco](https://github.com/travco)
diff --git a/docs/features/TEXTUAL_INVERSION.md b/docs/features/TEXTUAL_INVERSION.md
index b8dbc21192..9e8e0052f9 100644
--- a/docs/features/TEXTUAL_INVERSION.md
+++ b/docs/features/TEXTUAL_INVERSION.md
@@ -39,7 +39,7 @@ and one with the init word provided.
 
 On a RTX3090, the process for SD will take ~1h @1.6 iterations/sec.
 
-!!! Info _Note_
+!!! note
 
     According to the associated paper, the optimal number of
     images is 3-5. Your model may not converge if you use more images than
diff --git a/docs/features/UPSCALE.md b/docs/features/UPSCALE.md
index 231e6bfbb6..9c16b3a3aa 100644
--- a/docs/features/UPSCALE.md
+++ b/docs/features/UPSCALE.md
@@ -30,11 +30,13 @@ this package which asked you to install GFPGAN in a sibling directory, you may u
 `--gfpgan_dir` argument with `dream.py` to set a custom path to your GFPGAN directory. _There are
 other GFPGAN related boot arguments if you wish to customize further._
 
-**Note: Internet connection needed:** Users whose GPU machines are isolated from the Internet (e.g.
-on a University cluster) should be aware that the first time you run dream.py with GFPGAN and
-Real-ESRGAN turned on, it will try to download model files from the Internet. To rectify this, you
-may run `python3 scripts/preload_models.py` after you have installed GFPGAN and all its
-dependencies.
+!!! warning "Internet connection needed"
+
+    Users whose GPU machines are isolated from the Internet (e.g.
+    on a University cluster) should be aware that the first time you run dream.py with GFPGAN and
+    Real-ESRGAN turned on, it will try to download model files from the Internet. To rectify this, you
+    may run `python3 scripts/preload_models.py` after you have installed GFPGAN and all its
+    dependencies.
 
 ## **Usage**
 
@@ -83,17 +85,17 @@ This also works with img2img:
 dream> a man wearing a pineapple hat -I path/to/your/file.png -U 2 0.5 -G 0.6
 ```
 
-### **Note**
+!!! note
 
-GFPGAN and Real-ESRGAN are both memory intensive. In order to avoid crashes and memory overloads
-during the Stable Diffusion process, these effects are applied after Stable Diffusion has completed
-its work.
+    GFPGAN and Real-ESRGAN are both memory intensive. In order to avoid crashes and memory overloads
+    during the Stable Diffusion process, these effects are applied after Stable Diffusion has completed
+    its work.
 
-In single image generations, you will see the output right away but when you are using multiple
-iterations, the images will first be generated and then upscaled and face restored after that
-process is complete. While the image generation is taking place, you will still be able to preview
-the base images.
+    In single image generations, you will see the output right away but when you are using multiple
+    iterations, the images will first be generated and then upscaled and face restored after that
+    process is complete. While the image generation is taking place, you will still be able to preview
+    the base images.
 
-If you wish to stop during the image generation but want to upscale or face restore a particular
-generated image, pass it again with the same prompt and generated seed along with the `-U` and `-G`
-prompt arguments to perform those actions.
+    If you wish to stop during the image generation but want to upscale or face restore a particular
+    generated image, pass it again with the same prompt and generated seed along with the `-U` and `-G`
+    prompt arguments to perform those actions.
diff --git a/docs/features/VARIATIONS.md b/docs/features/VARIATIONS.md
index 23b6cf2917..053f6f0a3a 100644
--- a/docs/features/VARIATIONS.md
+++ b/docs/features/VARIATIONS.md
@@ -29,7 +29,7 @@ This will be indicated as `prompt` in the examples below.
 First we let SD create a series of images in the usual way, in this case
 requesting six iterations:
 
-```
+```bash
 dream> lucy lawless as xena, warrior princess, character portrait, high resolution -n6
 ...
 Outputs:
@@ -102,6 +102,7 @@ generate more variations around the almost-but-not-quite image. We do the
 latter, using both the `-V` (combining) and `-v` (variation strength) options.
 Note that we use `-n6` to generate 6 variations:
 
+```bash
 dream> "prompt" -S3357757885 -V3647897225,0.1,1614299449,0.1 -v0.05 -n6
 Outputs:
 ./outputs/Xena/000004.3279757577.png: "prompt" -s50 -W512 -H512 -C7.5 -Ak_lms -V 3647897225:0.1,1614299449:0.1,3279757577:0.05 -S3357757885
diff --git a/docs/index.md b/docs/index.md
index 0a909c5d83..189e362ae3 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -34,9 +34,11 @@ source text-to-image generator. It provides a streamlined process with various n
 options to aid the image generation process. It runs on Windows, Mac and Linux machines, and runs on
 GPU cards with as little as 4 GB or RAM.
 
-_Note: This fork is rapidly evolving. Please use the
-[Issues](https://github.com/lstein/stable-diffusion/issues) tab to report bugs and make feature
-requests. Be sure to use the provided templates. They will help aid diagnose issues faster._
+!!! note
+
+    This fork is rapidly evolving. Please use the
+    [Issues](https://github.com/lstein/stable-diffusion/issues) tab to report bugs and make feature
+    requests. Be sure to use the provided templates. They will help aid diagnose issues faster.
 
 ## Installation
 
@@ -64,18 +66,18 @@ You wil need one of the following:
 
 - At least 6 GB of free disk space for the machine learning model, Python, and all its dependencies.
 
-### Note
+!!! note
 
-If you are have a Nvidia 10xx series card (e.g. the 1080ti), please run the dream script in
-full-precision mode as shown below.
+    If you are have a Nvidia 10xx series card (e.g. the 1080ti), please run the dream script in
+    full-precision mode as shown below.
 
-Similarly, specify full-precision mode on Apple M1 hardware.
+    Similarly, specify full-precision mode on Apple M1 hardware.
 
-To run in full-precision mode, start `dream.py` with the `--full_precision` flag:
+    To run in full-precision mode, start `dream.py` with the `--full_precision` flag:
 
-```bash
-(ldm) ~/stable-diffusion$ python scripts/dream.py --full_precision
-```
+    ```bash
+    (ldm) ~/stable-diffusion$ python scripts/dream.py --full_precision
+    ```
 
 ## Features
 
diff --git a/docs/installation/INSTALL_LINUX.md b/docs/installation/INSTALL_LINUX.md
index 0cc6388725..4b9be84542 100644
--- a/docs/installation/INSTALL_LINUX.md
+++ b/docs/installation/INSTALL_LINUX.md
@@ -57,9 +57,11 @@ title: Linux
     (ldm) ~/stable-diffusion$ python3 scripts/preload_models.py
     ```
 
-    Note that this step is necessary because I modified the original just-in-time
-    model loading scheme to allow the script to work on GPU machines that are not
-    internet connected. See [Preload Models](../features/OTHER.md#preload-models)
+    !!! note
+
+        This step is necessary because I modified the original just-in-time
+        model loading scheme to allow the script to work on GPU machines that are not
+        internet connected. See [Preload Models](../features/OTHER.md#preload-models)
 
 7. Now you need to install the weights for the stable diffusion model.
 

From dbc913463068ae0908ccb7ab23e24fd7137004f5 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 05:06:54 +0200
Subject: [PATCH 061/110] add previously missed admonition

---
 docs/installation/INSTALL_MAC.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index c45512e77b..558167bf08 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -138,16 +138,16 @@ python scripts/orig_scripts/txt2img.py \
 
 1. half-precision requires autocast which is unfortunatelly incompatible
 
-Note:
+!!! note
 
-`#!bash export PIP_EXISTS_ACTION=w` is a precaution to fix a problem where
+    `#!bash export PIP_EXISTS_ACTION=w` is a precaution to fix a problem where
 
-```bash
-conda env create \
-  -f environment-mac.yaml
-```
+    ```bash
+    conda env create \
+      -f environment-mac.yaml
+    ```
 
-did never finish in some situations. So it isn't required but wont hurt.
+    did never finish in some situations. So it isn't required but wont hurt.
 
 ---
 

From 98f189cc699a4c3050aed067512f93cd51f5c7a7 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 06:43:50 +0200
Subject: [PATCH 062/110] fix username for magiclinks to point to lstein

---
 mkdocs.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/mkdocs.yml b/mkdocs.yml
index f0f64db502..7f7907079d 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -56,7 +56,7 @@ markdown_extensions:
   - pymdownx.keys
   - pymdownx.magiclink:
       repo_url_shorthand: true
-      user: 'Mauwii'
+      user: 'lstein'
       repo: 'stable-diffusion'
   - pymdownx.mark
   - pymdownx.smartsymbols

From 383b8704993ffc91396396d458d5123a7189258b Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 07:00:43 +0200
Subject: [PATCH 063/110] update index.md to use same labes as README.md

---
 docs/index.md | 47 +++++++++++++++++++++++++++++++----------------
 1 file changed, 31 insertions(+), 16 deletions(-)

diff --git a/docs/index.md b/docs/index.md
index 189e362ae3..9840bc1fde 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -10,24 +10,39 @@ title: Home
   mkdocs serve -a localhost:8080
   ```
 -->
-<h1 align='center'><b>Stable Diffusion Dream Script</b></h1>
+<div align="center" markdown="1">
 
-<p align='center'>
-    <img src="assets/logo.png"/>
-</p>
+# Stable Diffusion Dream Script
 
-<p align="center">
-    <a href="https://github.com/lstein/stable-diffusion/releases"><img src="https://flat.badgen.net/github/release/lstein/stable-diffusion/development?icon=github" alt="release"/></a>
-    <a href="https://github.com/lstein/stable-diffusion/stargazers"><img src="https://flat.badgen.net/github/stars/lstein/stable-diffusion?icon=github" alt="stars"/></a>
-    <a href="https://useful-forks.github.io/?repo=lstein%2Fstable-diffusion"><img src="https://flat.badgen.net/github/forks/lstein/stable-diffusion?icon=github" alt="forks"/></a>
-    <br />
-    <a href="https://github.com/lstein/stable-diffusion/actions/workflows/test-dream-conda.yml"><img src="https://flat.badgen.net/github/checks/lstein/stable-diffusion/main?label=CI%20status%20on%20main&cache=900&icon=github" alt="CI status on main"/></a>
-    <a href="https://github.com/lstein/stable-diffusion/actions/workflows/test-dream-conda.yml"><img src="https://flat.badgen.net/github/checks/lstein/stable-diffusion/development?label=CI%20status%20on%20dev&cache=900&icon=github" alt="CI status on dev"/></a>
-    <a href="https://github.com/lstein/stable-diffusion/commits/development"><img src="https://flat.badgen.net/github/last-commit/lstein/stable-diffusion/development?icon=github&color=yellow&label=last%20dev%20commit&cache=900" alt="last-dev-commit"/></a>
-    <br />
-    <a href="https://github.com/lstein/stable-diffusion/issues?q=is%3Aissue+is%3Aopen"><img src="https://flat.badgen.net/github/open-issues/lstein/stable-diffusion?icon=github" alt="open-issues"/></a>
-    <a href="https://github.com/lstein/stable-diffusion/pulls?q=is%3Apr+is%3Aopen"><img src="https://flat.badgen.net/github/open-prs/lstein/stable-diffusion?icon=github" alt="open-prs"/></a>
-</p>
+![project logo](assets/logo.png)
+
+[![discord badge]][discord link]
+
+[![latest release badge]][latest release link] [![github stars badge]][github stars link] [![github forks badge]][github forks link]
+
+[![CI checks on main badge]][CI checks on main link] [![CI checks on dev badge]][CI checks on dev link] [![latest commit to dev badge]][latest commit to dev link]
+
+[![github open issues badge]][github open issues link] [![github open prs badge]][github open prs link]
+
+[CI checks on dev badge]: https://flat.badgen.net/github/checks/lstein/stable-diffusion/development?label=CI%20status%20on%20dev&cache=900&icon=github
+[CI checks on dev link]: https://github.com/lstein/stable-diffusion/actions?query=branch%3Adevelopment
+[CI checks on main badge]: https://flat.badgen.net/github/checks/lstein/stable-diffusion/main?label=CI%20status%20on%20main&cache=900&icon=github
+[CI checks on main link]: https://github.com/lstein/stable-diffusion/actions/workflows/test-dream-conda.yml
+[discord badge]: https://flat.badgen.net/discord/members/htRgbc7e?icon=discord
+[discord link]: https://discord.com/invite/htRgbc7e
+[github forks badge]: https://flat.badgen.net/github/forks/lstein/stable-diffusion?icon=github
+[github forks link]: https://useful-forks.github.io/?repo=lstein%2Fstable-diffusion
+[github open issues badge]: https://flat.badgen.net/github/open-issues/lstein/stable-diffusion?icon=github
+[github open issues link]: https://github.com/lstein/stable-diffusion/issues?q=is%3Aissue+is%3Aopen
+[github open prs badge]: https://flat.badgen.net/github/open-prs/lstein/stable-diffusion?icon=github
+[github open prs link]: https://github.com/lstein/stable-diffusion/pulls?q=is%3Apr+is%3Aopen
+[github stars badge]: https://flat.badgen.net/github/stars/lstein/stable-diffusion?icon=github
+[github stars link]: https://github.com/lstein/stable-diffusion/stargazers
+[latest commit to dev badge]: https://flat.badgen.net/github/last-commit/lstein/stable-diffusion/development?icon=github&color=yellow&label=last%20dev%20commit&cache=900
+[latest commit to dev link]: https://github.com/lstein/stable-diffusion/commits/development
+[latest release badge]: https://flat.badgen.net/github/release/lstein/stable-diffusion/development?icon=github
+[latest release link]: https://github.com/lstein/stable-diffusion/releases
+</div>
 
 This is a fork of [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion), the open
 source text-to-image generator. It provides a streamlined process with various new features and

From 6e927acd58bae4813d6985a019c50e66de6e86ee Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sun, 18 Sep 2022 17:33:09 +1000
Subject: [PATCH 064/110] Improves state/API code structure, formatting, etc

---
 backend/server.py                             | 201 ++++-
 frontend/README.md                            |  17 +-
 frontend/dist/assets/index.3d2e59c5.js        | 694 ------------------
 frontend/dist/assets/index.de730902.js        | 694 ++++++++++++++++++
 frontend/dist/index.html                      |   2 +-
 frontend/src/{ => app}/App.tsx                |  29 +-
 frontend/src/app/constants.ts                 |  60 +-
 frontend/src/app/hooks.ts                     |   7 -
 frontend/src/app/socketio.ts                  | 393 ----------
 frontend/src/app/socketio/actions.ts          |  24 +
 frontend/src/app/socketio/emitters.ts         | 101 +++
 frontend/src/app/socketio/listeners.ts        | 338 +++++++++
 frontend/src/app/socketio/middleware.ts       | 157 ++++
 frontend/src/app/socketio/types.d.ts          |  46 ++
 frontend/src/app/store.ts                     |  81 +-
 frontend/src/app/wip_types.ts                 | 171 +++++
 .../src/{ => common}/components/SDButton.tsx  |   0
 .../{ => common}/components/SDNumberInput.tsx |   0
 .../src/{ => common}/components/SDSelect.tsx  |   0
 .../src/{ => common}/components/SDSwitch.tsx  |   0
 .../hooks}/useCheckParameters.ts              |   8 +-
 .../util}/parameterTranslation.ts             |  18 +-
 .../{features/sd => common}/util/randomInt.ts |   0
 .../sd => common}/util/seedWeightPairs.ts     |   0
 .../features/gallery/CurrentImageButtons.tsx  |   6 +-
 .../features/gallery/CurrentImageDisplay.tsx  |   2 +-
 .../src/features/gallery/DeleteImageModal.tsx |   4 +-
 .../src/features/gallery/HoverableImage.tsx   |   2 +-
 .../src/features/gallery/ImageGallery.tsx     |  10 +-
 .../features/gallery/ImageMetadataViewer.tsx  |   4 +-
 frontend/src/features/gallery/gallerySlice.ts | 102 ++-
 frontend/src/features/header/ProgressBar.tsx  |  51 +-
 frontend/src/features/header/SiteHeader.tsx   |  31 +-
 frontend/src/features/sd/ESRGANOptions.tsx    |   6 +-
 frontend/src/features/sd/GFPGANOptions.tsx    |   4 +-
 .../src/features/sd/ImageToImageOptions.tsx   |   6 +-
 frontend/src/features/sd/InitAndMaskImage.tsx |   2 +-
 .../features/sd/InitAndMaskUploadButtons.tsx  |   4 +-
 frontend/src/features/sd/OptionsAccordion.tsx |   2 +-
 frontend/src/features/sd/OutputOptions.tsx    |   6 +-
 frontend/src/features/sd/ProcessButtons.tsx   |   8 +-
 frontend/src/features/sd/PromptInput.tsx      |   3 +-
 frontend/src/features/sd/SamplerOptions.tsx   |   6 +-
 .../src/features/sd/SeedVariationOptions.tsx  |  10 +-
 frontend/src/features/sd/sdSlice.ts           |  42 +-
 frontend/src/features/system/LogViewer.tsx    |  53 +-
 .../src/features/system/SettingsModal.tsx     |   2 +-
 frontend/src/features/system/systemSlice.ts   |  65 +-
 frontend/src/main.tsx                         |   2 +-
 49 files changed, 2073 insertions(+), 1401 deletions(-)
 delete mode 100644 frontend/dist/assets/index.3d2e59c5.js
 create mode 100644 frontend/dist/assets/index.de730902.js
 rename frontend/src/{ => app}/App.tsx (64%)
 delete mode 100644 frontend/src/app/hooks.ts
 delete mode 100644 frontend/src/app/socketio.ts
 create mode 100644 frontend/src/app/socketio/actions.ts
 create mode 100644 frontend/src/app/socketio/emitters.ts
 create mode 100644 frontend/src/app/socketio/listeners.ts
 create mode 100644 frontend/src/app/socketio/middleware.ts
 create mode 100644 frontend/src/app/socketio/types.d.ts
 create mode 100644 frontend/src/app/wip_types.ts
 rename frontend/src/{ => common}/components/SDButton.tsx (100%)
 rename frontend/src/{ => common}/components/SDNumberInput.tsx (100%)
 rename frontend/src/{ => common}/components/SDSelect.tsx (100%)
 rename frontend/src/{ => common}/components/SDSwitch.tsx (100%)
 rename frontend/src/{features/system => common/hooks}/useCheckParameters.ts (90%)
 rename frontend/src/{app => common/util}/parameterTranslation.ts (91%)
 rename frontend/src/{features/sd => common}/util/randomInt.ts (100%)
 rename frontend/src/{features/sd => common}/util/seedWeightPairs.ts (100%)

diff --git a/backend/server.py b/backend/server.py
index cce4c70b8f..b1346691e4 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -7,6 +7,8 @@ import eventlet
 import glob
 import shlex
 import argparse
+import math
+import shutil
 
 from flask_socketio import SocketIO
 from flask import Flask, send_from_directory, url_for, jsonify
@@ -119,15 +121,15 @@ result_path = os.path.join(output_dir, 'img-samples/')
 intermediate_path = os.path.join(result_path, 'intermediates/')
 
 # path for user-uploaded init images and masks
-init_path = os.path.join(result_path, 'init-images/')
-mask_path = os.path.join(result_path, 'mask-images/')
+init_image_path = os.path.join(result_path, 'init-images/')
+mask_image_path = os.path.join(result_path, 'mask-images/')
 
 # txt log
 log_path = os.path.join(result_path, 'dream_log.txt')
 
 # make all output paths
 [os.makedirs(path, exist_ok=True)
- for path in [result_path, intermediate_path, init_path, mask_path]]
+ for path in [result_path, intermediate_path, init_image_path, mask_image_path]]
 
 
 """
@@ -155,7 +157,8 @@ def handle_request_all_images():
         else:
             metadata = all_metadata['sd-metadata']
         image_array.append({'path': path, 'metadata': metadata})
-    return make_response("OK", data=image_array)
+    socketio.emit('galleryImages', {'images': image_array})
+    eventlet.sleep(0)
 
 
 @socketio.on('generateImage')
@@ -166,16 +169,32 @@ def handle_generate_image_event(generation_parameters, esrgan_parameters, gfpgan
         esrgan_parameters,
         gfpgan_parameters
     )
-    return make_response("OK")
 
 
 @socketio.on('runESRGAN')
 def handle_run_esrgan_event(original_image, esrgan_parameters):
     print(f'>> ESRGAN upscale requested for "{original_image["url"]}": {esrgan_parameters}')
+    progress = {
+        'currentStep': 1,
+        'totalSteps': 1,
+        'currentIteration': 1,
+        'totalIterations': 1,
+        'currentStatus': 'Preparing',
+        'isProcessing': True,
+        'currentStatusHasSteps': False
+    }
+
+    socketio.emit('progressUpdate', progress)
+    eventlet.sleep(0)
+
     image = Image.open(original_image["url"])
 
     seed = original_image['metadata']['seed'] if 'seed' in original_image['metadata'] else 'unknown_seed'
 
+    progress['currentStatus'] = 'Upscaling'
+    socketio.emit('progressUpdate', progress)
+    eventlet.sleep(0)
+
     image = real_esrgan_upscale(
         image=image,
         upsampler_scale=esrgan_parameters['upscale'][0],
@@ -183,24 +202,54 @@ def handle_run_esrgan_event(original_image, esrgan_parameters):
         seed=seed
     )
 
+    progress['currentStatus'] = 'Saving image'
+    socketio.emit('progressUpdate', progress)
+    eventlet.sleep(0)
+
     esrgan_parameters['seed'] = seed
     path = save_image(image, esrgan_parameters, result_path, postprocessing='esrgan')
     command = parameters_to_command(esrgan_parameters)
 
     write_log_message(f'[Upscaled] "{original_image["url"]}" > "{path}": {command}')
 
+    progress['currentStatus'] = 'Finished'
+    progress['currentStep'] = 0
+    progress['totalSteps'] = 0
+    progress['currentIteration'] = 0
+    progress['totalIterations'] = 0
+    progress['isProcessing'] = False
+    socketio.emit('progressUpdate', progress)
+    eventlet.sleep(0)
+
     socketio.emit(
-            'result', {'url': os.path.relpath(path), 'type': 'esrgan', 'uuid': original_image['uuid'],'metadata': esrgan_parameters})
+            'esrganResult', {'url': os.path.relpath(path), 'uuid': original_image['uuid'], 'metadata': esrgan_parameters})
 
 
 
 @socketio.on('runGFPGAN')
 def handle_run_gfpgan_event(original_image, gfpgan_parameters):
     print(f'>> GFPGAN face fix requested for "{original_image["url"]}": {gfpgan_parameters}')
+    progress = {
+        'currentStep': 1,
+        'totalSteps': 1,
+        'currentIteration': 1,
+        'totalIterations': 1,
+        'currentStatus': 'Preparing',
+        'isProcessing': True,
+        'currentStatusHasSteps': False
+    }
+
+    socketio.emit('progressUpdate', progress)
+    eventlet.sleep(0)
+
     image = Image.open(original_image["url"])
 
     seed = original_image['metadata']['seed'] if 'seed' in original_image['metadata'] else 'unknown_seed'
 
+    progress['currentStatus'] = 'Fixing faces'
+    socketio.emit('progressUpdate', progress)
+    eventlet.sleep(0)
+
     image = run_gfpgan(
         image=image,
         strength=gfpgan_parameters['gfpgan_strength'],
@@ -208,29 +257,42 @@ def handle_run_gfpgan_event(original_image, gfpgan_parameters):
         upsampler_scale=1
     )
 
+    progress['currentStatus'] = 'Saving image'
+    socketio.emit('progressUpdate', progress)
+    eventlet.sleep(0)
+
     gfpgan_parameters['seed'] = seed
     path = save_image(image, gfpgan_parameters, result_path, postprocessing='gfpgan')
     command = parameters_to_command(gfpgan_parameters)
 
     write_log_message(f'[Fixed faces] "{original_image["url"]}" > "{path}": {command}')
 
+    progress['currentStatus'] = 'Finished'
+    progress['currentStep'] = 0
+    progress['totalSteps'] = 0
+    progress['currentIteration'] = 0
+    progress['totalIterations'] = 0
+    progress['isProcessing'] = False
+    socketio.emit('progressUpdate', progress)
+    eventlet.sleep(0)
+
     socketio.emit(
-            'result', {'url': os.path.relpath(path), 'type': 'gfpgan', 'uuid': original_image['uuid'],'metadata': gfpgan_parameters})
+            'gfpganResult', {'url': os.path.relpath(path), 'uuid': original_image['uuid'], 'metadata': gfpgan_parameters})
 
 
 @socketio.on('cancel')
 def handle_cancel():
     print(f'>> Cancel processing requested')
     canceled.set()
-    return make_response("OK")
+    socketio.emit('processingCanceled')
 
 
 # TODO: I think this needs a safety mechanism.
 @socketio.on('deleteImage')
-def handle_delete_image(path):
+def handle_delete_image(path, uuid):
     print(f'>> Delete requested "{path}"')
     send2trash(path)
-    return make_response("OK")
+    socketio.emit('imageDeleted', {'url': path, 'uuid': uuid})
 
 
 # TODO: I think this needs a safety mechanism.
@@ -240,11 +302,11 @@ def handle_upload_initial_image(bytes, name):
     uuid = uuid4().hex
     split = os.path.splitext(name)
     name = f'{split[0]}.{uuid}{split[1]}'
-    file_path = os.path.join(init_path, name)
+    file_path = os.path.join(init_image_path, name)
     os.makedirs(os.path.dirname(file_path), exist_ok=True)
     newFile = open(file_path, "wb")
     newFile.write(bytes)
-    return make_response("OK", data=file_path)
+    socketio.emit('initialImageUploaded', {'url': file_path, 'uuid': ''})
 
 
 # TODO: I think this needs a safety mechanism.
@@ -254,11 +316,11 @@ def handle_upload_mask_image(bytes, name):
     uuid = uuid4().hex
     split = os.path.splitext(name)
     name = f'{split[0]}.{uuid}{split[1]}'
-    file_path = os.path.join(mask_path, name)
+    file_path = os.path.join(mask_image_path, name)
     os.makedirs(os.path.dirname(file_path), exist_ok=True)
     newFile = open(file_path, "wb")
     newFile.write(bytes)
-    return make_response("OK", data=file_path)
+    socketio.emit('maskImageUploaded', {'url': file_path, 'uuid': ''})
 
 
 
@@ -273,6 +335,13 @@ ADDITIONAL FUNCTIONS
 """
 
 
+def make_unique_init_image_filename(name):
+    uuid = uuid4().hex
+    split = os.path.splitext(name)
+    name = f'{split[0]}.{uuid}{split[1]}'
+    return name
+
+
 def write_log_message(message, log_path=log_path):
     """Logs the filename and parameters used to generate or process that image to log file"""
     message = f'{message}\n'
@@ -280,15 +349,6 @@ def write_log_message(message, log_path=log_path):
         file.writelines(message)
 
 
-def make_response(status, message=None, data=None):
-    response = {'status': status}
-    if message is not None:
-        response['message'] = message
-    if data is not None:
-        response['data'] = data
-    return response
-
-
 def save_image(image, parameters, output_dir, step_index=None, postprocessing=False):
     seed = parameters['seed'] if 'seed' in parameters else 'unknown_seed'
 
@@ -310,16 +370,69 @@ def save_image(image, parameters, output_dir, step_index=None, postprocessing=Fa
 
     return path
 
+def calculate_real_steps(steps, strength, has_init_image):
+    return math.floor(strength * steps) if has_init_image else steps
+
 def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters):
     canceled.clear()
 
     step_index = 1
 
+    """
+    If a result image is used as an init image, and then deleted, we will want to be
+    able to use it as an init image in the future. Need to copy it.
+
+    If the init/mask image doesn't exist in the init_image_path/mask_image_path,
+    make a unique filename for it and copy it there.
+    """
+    if ('init_img' in generation_parameters):
+        filename = os.path.basename(generation_parameters['init_img'])
+        if not os.path.exists(os.path.join(init_image_path, filename)):
+            unique_filename = make_unique_init_image_filename(filename)
+            new_path = os.path.join(init_image_path, unique_filename)
+            shutil.copy(generation_parameters['init_img'], new_path)
+            generation_parameters['init_img'] = new_path
+        if ('init_mask' in generation_parameters):
+            filename = os.path.basename(generation_parameters['init_mask'])
+            if not os.path.exists(os.path.join(mask_image_path, filename)):
+                unique_filename = make_unique_init_image_filename(filename)
+                new_path = os.path.join(init_image_path, unique_filename)
+                shutil.copy(generation_parameters['init_img'], new_path)
+                generation_parameters['init_mask'] = new_path
+
+
+
+    totalSteps = calculate_real_steps(
+        steps=generation_parameters['steps'],
+        strength=generation_parameters['strength'] if 'strength' in generation_parameters else None,
+        has_init_image='init_img' in generation_parameters
+        )
+
+    progress = {
+        'currentStep': 1,
+        'totalSteps': totalSteps,
+        'currentIteration': 1,
+        'totalIterations': generation_parameters['iterations'],
+        'currentStatus': 'Preparing',
+        'isProcessing': True,
+        'currentStatusHasSteps': False
+    }
+
+    socketio.emit('progressUpdate', progress)
+    eventlet.sleep(0)
+
     def image_progress(sample, step):
         if canceled.is_set():
             raise CanceledException
+
         nonlocal step_index
         nonlocal generation_parameters
+        nonlocal progress
+
+        progress['currentStep'] = step + 1
+        progress['currentStatus'] = 'Generating'
+        progress['currentStatusHasSteps'] = True
+
         if generation_parameters["progress_images"] and step % 5 == 0 and step < generation_parameters['steps'] - 1:
             image = model.sample_to_image(sample)
             path = save_image(image, generation_parameters, intermediate_path, step_index)
@@ -327,18 +440,30 @@ def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters)
             step_index += 1
             socketio.emit('intermediateResult', {
                           'url': os.path.relpath(path), 'metadata': generation_parameters})
-        socketio.emit('progress', {'step': step + 1})
+        socketio.emit('progressUpdate', progress)
         eventlet.sleep(0)
 
     def image_done(image, seed):
         nonlocal generation_parameters
         nonlocal esrgan_parameters
         nonlocal gfpgan_parameters
+        nonlocal progress
+
+        step_index = 1
+
+        progress['currentStatus'] = 'Generation complete'
+        socketio.emit('progressUpdate', progress)
+        eventlet.sleep(0)
 
         all_parameters = generation_parameters
         postprocessing = False
 
         if esrgan_parameters:
+            progress['currentStatus'] = 'Upscaling'
+            progress['currentStatusHasSteps'] = False
+            socketio.emit('progressUpdate', progress)
+            eventlet.sleep(0)
+
             image = real_esrgan_upscale(
                 image=image,
                 strength=esrgan_parameters['strength'],
@@ -349,6 +474,11 @@ def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters)
             all_parameters["upscale"] = [esrgan_parameters['level'], esrgan_parameters['strength']]
 
         if gfpgan_parameters:
+            progress['currentStatus'] = 'Fixing faces'
+            progress['currentStatusHasSteps'] = False
+            socketio.emit('progressUpdate', progress)
+            eventlet.sleep(0)
+
             image = run_gfpgan(
                 image=image,
                 strength=gfpgan_parameters['strength'],
@@ -359,6 +489,9 @@ def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters)
             all_parameters["gfpgan_strength"] = gfpgan_parameters['strength']
 
         all_parameters['seed'] = seed
+        progress['currentStatus'] = 'Saving image'
+        socketio.emit('progressUpdate', progress)
+        eventlet.sleep(0)
 
         path = save_image(image, all_parameters, result_path, postprocessing=postprocessing)
         command = parameters_to_command(all_parameters)
@@ -366,8 +499,24 @@ def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters)
         print(f'Image generated: "{path}"')
         write_log_message(f'[Generated] "{path}": {command}')
 
+        if (progress['totalIterations'] > progress['currentIteration']):
+            progress['currentStep'] = 1
+            progress['currentIteration'] +=1
+            progress['currentStatus'] = 'Iteration finished'
+            progress['currentStatusHasSteps'] = False
+        else:
+            progress['currentStep'] = 0
+            progress['totalSteps'] = 0
+            progress['currentIteration'] = 0
+            progress['totalIterations'] = 0
+            progress['currentStatus'] = 'Finished'
+            progress['isProcessing'] = False
+
+        socketio.emit('progressUpdate', progress)
+        eventlet.sleep(0)
+
         socketio.emit(
-            'result', {'url': os.path.relpath(path), 'type': 'generation', 'metadata': all_parameters})
+            'generationResult', {'url': os.path.relpath(path), 'metadata': all_parameters})
         eventlet.sleep(0)
 
     try:
@@ -382,7 +531,7 @@ def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters)
     except CanceledException:
         pass
     except Exception as e:
-        socketio.emit('error', (str(e)))
+        socketio.emit('error', {'message': (str(e))})
         print("\n")
         traceback.print_exc()
         print("\n")
diff --git a/frontend/README.md b/frontend/README.md
index c1386b6511..94934b2bce 100644
--- a/frontend/README.md
+++ b/frontend/README.md
@@ -1,17 +1,29 @@
 # Stable Diffusion Web UI
 
 ## Run
+
 - `python backend/server.py` serves both frontend and backend at http://localhost:9090
 
+## Evironment
+
+Install [node](https://nodejs.org/en/download/) (includes npm) and optionally
+[yarn](https://yarnpkg.com/getting-started/install).
+
+From `frontend/` run `npm install` / `yarn install` to install the frontend packages.
+
 ## Dev
 
-1. From `frontend/`, run `yarn dev` to start the dev server.
+1. From `frontend/`, run `npm dev` / `yarn dev` to start the dev server.
 2. Note the address it starts up on (probably `http://localhost:5173/`).
-3. Edit `backend/server.py`'s `additional_allowed_origins` to include this address, e.g. `additional_allowed_origins = ['http://localhost:5173']`.
+3. Edit `backend/server.py`'s `additional_allowed_origins` to include this address, e.g.
+   `additional_allowed_origins = ['http://localhost:5173']`.
 4. Leaving the dev server running, open a new terminal and go to the project root.
 5. Run `python backend/server.py`.
 6. Navigate to the dev server address e.g. `http://localhost:5173/`.
 
+To build for dev: `npm build-dev` / `yarn build-dev`
+
+To build for production: `npm build` / `yarn build`
 
 ## TODO
 
@@ -20,7 +32,6 @@
   `framer-motion`. I would prefer to save the ~30kb on bundle and have zero animations. This is on
   the Chakra roadmap. See https://github.com/chakra-ui/chakra-ui/pull/6368 for last discussion on
   this. Need to check in on this issue periodically.
-- More status info e.g. phase of processing, image we are on of the total count, etc
 - Mobile friendly layout
 - Proper image gallery/viewer/manager
 - Help tooltips and such
diff --git a/frontend/dist/assets/index.3d2e59c5.js b/frontend/dist/assets/index.3d2e59c5.js
deleted file mode 100644
index ca609e8fa2..0000000000
--- a/frontend/dist/assets/index.3d2e59c5.js
+++ /dev/null
@@ -1,694 +0,0 @@
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- * react.development.js
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- *
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u;const{layout:h,layoutId:m}=this.options;!this.layout||!(h||m)||(!this.targetDelta&&!this.relativeTarget&&(this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&this.relativeParent.layout&&(this.relativeTarget=oi(),this.relativeTargetOrigin=oi(),$y(this.relativeTargetOrigin,this.layout.actual,this.relativeParent.layout.actual),vl(this.relativeTarget,this.relativeTargetOrigin))),!(!this.relativeTarget&&!this.targetDelta)&&(this.target||(this.target=oi(),this.targetWithTransforms=oi()),this.relativeTarget&&this.relativeTargetOrigin&&((u=this.relativeParent)===null||u===void 0?void 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u;const{layout:h,layoutId:m}=this.options;if(this.isTreeAnimating=Boolean(((u=this.parent)===null||u===void 0?void 0:u.isTreeAnimating)||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(h||m))return;const v=this.getLead();vl(this.layoutCorrected,this.layout.actual),Pq(this.layoutCorrected,this.treeScale,this.path,Boolean(this.resumingFrom)||this!==v);const{target:b}=v;if(!b)return;this.projectionDelta||(this.projectionDelta=Vy(),this.projectionDeltaWithTransform=Vy());const x=this.treeScale.x,C=this.treeScale.y,_=this.projectionTransform;jy(this.projectionDelta,this.layoutCorrected,b,this.latestValues),this.projectionTransform=UL(this.projectionDelta,this.treeScale),(this.projectionTransform!==_||this.treeScale.x!==x||this.treeScale.y!==C)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",b))}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(u=!0){var h,m,v;(m=(h=this.options).scheduleRender)===null||m===void 0||m.call(h),u&&((v=this.getStack())===null||v===void 0||v.scheduleRender()),this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(u,h=!1){var m;const v=this.snapshot,b=v?.latestValues||{},x={...this.latestValues},C=Vy();this.relativeTarget=this.relativeTargetOrigin=void 0,this.attemptToResolveRelativeTarget=!h;const _=oi(),N=v?.isShared,A=(((m=this.getStack())===null||m===void 0?void 0:m.members.length)||0)<=1,I=Boolean(N&&!A&&this.options.crossfade===!0&&!this.path.some(BK));this.animationProgress=0,this.mixTargetDelta=j=>{var M;const z=j/1e3;HL(C.x,u.x,z),HL(C.y,u.y,z),this.setTargetDelta(C),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&((M=this.relativeParent)===null||M===void 0?void 0:M.layout)&&($y(_,this.layout.actual,this.relativeParent.layout.actual),zK(this.relativeTarget,this.relativeTargetOrigin,_,z)),N&&(this.animationValues=x,yK(x,b,this.latestValues,z,I,A)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=z},this.mixTargetDelta(0)}startAnimation(u){var h,m;this.notifyListeners("animationStart"),(h=this.currentAnimation)===null||h===void 0||h.stop(),this.resumingFrom&&((m=this.resumingFrom.currentAnimation)===null||m===void 0||m.stop()),this.pendingAnimation&&(ub.update(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=uu.update(()=>{Fy.hasAnimatedSinceResize=!0,this.currentAnimation=vK(0,$L,{...u,onUpdate:v=>{var b;this.mixTargetDelta(v),(b=u.onUpdate)===null||b===void 0||b.call(u,v)},onComplete:()=>{var v;(v=u.onComplete)===null||v===void 0||v.call(u),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){var u;this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0),(u=this.getStack())===null||u===void 0||u.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){var u;this.currentAnimation&&((u=this.mixTargetDelta)===null||u===void 0||u.call(this,$L),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const u=this.getLead();let{targetWithTransforms:h,target:m,layout:v,latestValues:b}=u;if(!(!h||!m||!v)){if(this!==u&&this.layout&&v&&yz(this.options.animationType,this.layout.actual,v.actual)){m=this.target||oi();const x=Yo(this.layout.actual.x);m.x.min=u.target.x.min,m.x.max=m.x.min+x;const C=Yo(this.layout.actual.y);m.y.min=u.target.y.min,m.y.max=m.y.min+C}vl(h,m),Pm(h,b),jy(this.projectionDeltaWithTransform,this.layoutCorrected,h,b)}}registerSharedNode(u,h){var m,v,b;this.sharedNodes.has(u)||this.sharedNodes.set(u,new EK),this.sharedNodes.get(u).add(h),h.promote({transition:(m=h.options.initialPromotionConfig)===null||m===void 0?void 0:m.transition,preserveFollowOpacity:(b=(v=h.options.initialPromotionConfig)===null||v===void 0?void 0:v.shouldPreserveFollowOpacity)===null||b===void 0?void 0:b.call(v,h)})}isLead(){const u=this.getStack();return u?u.lead===this:!0}getLead(){var u;const{layoutId:h}=this.options;return h?((u=this.getStack())===null||u===void 0?void 0:u.lead)||this:this}getPrevLead(){var u;const{layoutId:h}=this.options;return h?(u=this.getStack())===null||u===void 0?void 0:u.prevLead:void 0}getStack(){const{layoutId:u}=this.options;if(u)return this.root.sharedNodes.get(u)}promote({needsReset:u,transition:h,preserveFollowOpacity:m}={}){const v=this.getStack();v&&v.promote(this,m),u&&(this.projectionDelta=void 0,this.needsReset=!0),h&&this.setOptions({transition:h})}relegate(){const u=this.getStack();return u?u.relegate(this):!1}resetRotation(){const{visualElement:u}=this.options;if(!u)return;let h=!1;const m={};for(let v=0;v<jL.length;v++){const b=jL[v],x="rotate"+b;!u.getStaticValue(x)||(h=!0,m[x]=u.getStaticValue(x),u.setStaticValue(x,0))}if(!!h){u?.syncRender();for(const v in m)u.setStaticValue(v,m[v]);u.scheduleRender()}}getProjectionStyles(u={}){var h,m,v;const b={};if(!this.instance||this.isSVG)return b;if(this.isVisible)b.visibility="";else return{visibility:"hidden"};const x=(h=this.options.visualElement)===null||h===void 0?void 0:h.getProps().transformTemplate;if(this.needsReset)return this.needsReset=!1,b.opacity="",b.pointerEvents=Tx(u.pointerEvents)||"",b.transform=x?x(this.latestValues,""):"none",b;const C=this.getLead();if(!this.projectionDelta||!this.layout||!C.target){const I={};return this.options.layoutId&&(I.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,I.pointerEvents=Tx(u.pointerEvents)||""),this.hasProjected&&!Ef(this.latestValues)&&(I.transform=x?x({},""):"none",this.hasProjected=!1),I}const _=C.animationValues||C.latestValues;this.applyTransformsToTarget(),b.transform=UL(this.projectionDeltaWithTransform,this.treeScale,_),x&&(b.transform=x(_,b.transform));const{x:N,y:A}=this.projectionDelta;b.transformOrigin=`${N.origin*100}% ${A.origin*100}% 0`,C.animationValues?b.opacity=C===this?(v=(m=_.opacity)!==null&&m!==void 0?m:this.latestValues.opacity)!==null&&v!==void 0?v:1:this.preserveOpacity?this.latestValues.opacity:_.opacityExit:b.opacity=C===this?_.opacity!==void 0?_.opacity:"":_.opacityExit!==void 0?_.opacityExit:0;for(const I in Kx){if(_[I]===void 0)continue;const{correct:j,applyTo:M}=Kx[I],z=j(_[I],C);if(M){const U=M.length;for(let V=0;V<U;V++)b[M[V]]=z}else b[I]=z}return this.options.layoutId&&(b.pointerEvents=C===this?Tx(u.pointerEvents)||"":"none"),b}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(u=>{var h;return(h=u.currentAnimation)===null||h===void 0?void 0:h.stop()}),this.root.nodes.forEach(VL),this.root.sharedNodes.clear()}}}function AK(e){e.updateLayout()}function OK(e){var t,r,i;const s=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&s&&e.hasListeners("didUpdate")){const{actual:c,measured:u}=e.layout,{animationType:h}=e.options;h==="size"?eu(C=>{const _=s.isShared?s.measured[C]:s.layout[C],N=Yo(_);_.min=c[C].min,_.max=_.min+N}):yz(h,s.layout,c)&&eu(C=>{const _=s.isShared?s.measured[C]:s.layout[C],N=Yo(c[C]);_.max=_.min+N});const m=Vy();jy(m,c,s.layout);const v=Vy();s.isShared?jy(v,e.applyTransform(u,!0),s.measured):jy(v,c,s.layout);const b=!mz(m);let x=!1;if(!e.resumeFrom&&(e.relativeParent=e.getClosestProjectingParent(),e.relativeParent&&!e.relativeParent.resumeFrom)){const{snapshot:C,layout:_}=e.relativeParent;if(C&&_){const N=oi();$y(N,s.layout,C.layout);const A=oi();$y(A,c,_.actual),vz(N,A)||(x=!0)}}e.notifyListeners("didUpdate",{layout:c,snapshot:s,delta:v,layoutDelta:m,hasLayoutChanged:b,hasRelativeTargetChanged:x})}else e.isLead()&&((i=(r=e.options).onExitComplete)===null||i===void 0||i.call(r));e.options.transition=void 0}function kK(e){e.clearSnapshot()}function VL(e){e.clearMeasurements()}function DK(e){const{visualElement:t}=e.options;t?.getProps().onBeforeLayoutMeasure&&t.notifyBeforeLayoutMeasure(),e.resetTransform()}function PK(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0}function MK(e){e.resolveTargetDelta()}function IK(e){e.calcProjection()}function LK(e){e.resetRotation()}function FK(e){e.removeLeadSnapshot()}function HL(e,t,r){e.translate=jr(t.translate,0,r),e.scale=jr(t.scale,1,r),e.origin=t.origin,e.originPoint=t.originPoint}function WL(e,t,r,i){e.min=jr(t.min,r.min,i),e.max=jr(t.max,r.max,i)}function zK(e,t,r,i){WL(e.x,t.x,r.x,i),WL(e.y,t.y,r.y,i)}function BK(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const UK={duration:.45,ease:[.4,0,.1,1]};function jK(e,t){let r=e.root;for(let c=e.path.length-1;c>=0;c--)if(Boolean(e.path[c].instance)){r=e.path[c];break}const s=(r&&r!==e.root?r.instance:document).querySelector(`[data-projection-id="${t}"]`);s&&e.mount(s,!0)}function GL(e){e.min=Math.round(e.min),e.max=Math.round(e.max)}function YL(e){GL(e.x),GL(e.y)}function yz(e,t,r){return e==="position"||e==="preserve-aspect"&&!_K(BL(t),BL(r))}const $K=gz({attachResizeListener:(e,t)=>Ww(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),ZR={current:void 0},VK=gz({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!ZR.current){const e=new $K(0,{});e.mount(window),e.setOptions({layoutScroll:!0}),ZR.current=e}return ZR.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>Boolean(window.getComputedStyle(e).position==="fixed")}),HK={...xq,...DY,...$q,...mK},Tl=wW((e,t)=>sG(e,t,HK,uK,VK));function bz(){const e=D.exports.useRef(!1);return qx(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function WK(){const e=bz(),[t,r]=D.exports.useState(0),i=D.exports.useCallback(()=>{e.current&&r(t+1)},[t]);return[D.exports.useCallback(()=>uu.postRender(i),[i]),t]}var GK="/Users/spencer/Documents/Code/stable-diffusion/frontend/node_modules/framer-motion/dist/es/components/AnimatePresence/PopChild.mjs";class YK extends D.exports.Component{getSnapshotBeforeUpdate(t){const r=this.props.childRef.current;if(r&&t.isPresent&&!this.props.isPresent){const i=this.props.sizeRef.current;i.height=r.offsetHeight||0,i.width=r.offsetWidth||0,i.top=r.offsetTop,i.left=r.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function qK({children:e,isPresent:t}){const r=D.exports.useId(),i=D.exports.useRef(null),s=D.exports.useRef({width:0,height:0,top:0,left:0});return D.exports.useInsertionEffect(()=>{const{width:c,height:u,top:h,left:m}=s.current;if(t||!i.current||!c||!u)return;i.current.dataset.motionPopId=r;const v=document.createElement("style");return document.head.appendChild(v),v.sheet&&v.sheet.insertRule(`
-          [data-motion-pop-id="${r}"] {
-            position: absolute !important;
-            width: ${c}px !important;
-            height: ${u}px !important;
-            top: ${h}px !important;
-            left: ${m}px !important;
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Ye.concat(Cl(st)===oC?XQ(t,{placement:st,boundary:b,rootBoundary:x,padding:v,flipVariations:N,allowedAutoPlacements:A}):st)},[]),V=t.rects.reference,K=t.rects.popper,X=new Map,de=!0,ve=U[0],se=0;se<U.length;se++){var be=U[se],Xe=Cl(be),ie=Qm(be)===Km,ce=[vo,Is].indexOf(Xe)>=0,Re=ce?"width":"height",Ce=db(t,{placement:be,boundary:b,rootBoundary:x,altBoundary:C,padding:v}),oe=ce?ie?Ls:go:ie?Is:vo;V[Re]>K[Re]&&(oe=Ax(oe));var Se=Ax(oe),Te=[];if(c&&Te.push(Ce[Xe]<=0),h&&Te.push(Ce[oe]<=0,Ce[Se]<=0),Te.every(function(Ye){return Ye})){ve=be,de=!1;break}X.set(be,Te)}if(de)for(var pe=N?3:1,we=function(st){var mt=U.find(function(Gt){var Qe=X.get(Gt);if(Qe)return Qe.slice(0,st).every(function(vt){return vt})});if(mt)return ve=mt,"break"},Ie=pe;Ie>0;Ie--){var Le=we(Ie);if(Le==="break")break}t.placement!==ve&&(t.modifiersData[i]._skip=!0,t.placement=ve,t.reset=!0)}}const JQ={name:"flip",enabled:!0,phase:"main",fn:QQ,requiresIfExists:["offset"],data:{_skip:!1}};function v5(e,t,r){return r===void 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ie,ce=U==="y"?vo:go,Re=U==="y"?Is:Ls,Ce=U==="y"?"height":"width",oe=K[U],Se=oe+I[ce],Te=oe-I[Re],pe=_?-de[Ce]/2:0,we=M===Km?X[Ce]:de[Ce],Ie=M===Km?-de[Ce]:-X[Ce],Le=t.elements.arrow,Ye=_&&Le?p2(Le):{width:0,height:0},st=t.modifiersData["arrow#persistent"]?t.modifiersData["arrow#persistent"].padding:sB(),mt=st[ce],Gt=st[Re],Qe=Hy(0,X[Ce],Ye[Ce]),vt=z?X[Ce]/2-pe-Qe-mt-se.mainAxis:we-Qe-mt-se.mainAxis,Et=z?-X[Ce]/2+pe+Qe+Gt+se.mainAxis:Ie+Qe+Gt+se.mainAxis,zt=t.elements.arrow&&Ib(t.elements.arrow),We=zt?U==="y"?zt.clientTop||0:zt.clientLeft||0:0,Yt=(ie=be?.[U])!=null?ie:0,ye=oe+vt-Yt-We,Mt=oe+Et-Yt,Kt=Hy(_?cw(Se,ye):Se,oe,_?Lp(Te,Mt):Te);K[U]=Kt,Xe[U]=Kt-oe}if(h){var St,ar=U==="x"?vo:go,ir=U==="x"?Is:Ls,Bt=K[V],fn=V==="y"?"height":"width",kn=Bt+I[ar],hn=Bt-I[ir],Ve=[vo,go].indexOf(j)!==-1,Ze=(St=be?.[V])!=null?St:0,Jt=Ve?kn:Bt-X[fn]-de[fn]-Ze+se.altAxis,Tt=Ve?Bt+X[fn]+de[fn]-Ze-se.altAxis:hn,ke=_&&Ve?DQ(Jt,Bt,Tt):Hy(_?Jt:kn,Bt,_?Tt:hn);K[V]=ke,Xe[V]=ke-Bt}t.modifiersData[i]=Xe}}const 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Jae={bg:"blackAlpha.600",zIndex:"overlay"},eie={display:"flex",zIndex:"modal",justifyContent:"center"},tie=e=>{const{isFullHeight:t}=e;return{...t&&{height:"100vh"},zIndex:"modal",maxH:"100vh",bg:ze("white","gray.700")(e),color:"inherit",boxShadow:ze("lg","dark-lg")(e)}},nie={px:"6",py:"4",fontSize:"xl",fontWeight:"semibold"},rie={position:"absolute",top:"2",insetEnd:"3"},aie={px:"6",py:"2",flex:"1",overflow:"auto"},iie={px:"6",py:"4"},oie=IO(e=>({overlay:Jae,dialogContainer:eie,dialog:Xr(tie,e),header:nie,closeButton:rie,body:aie,footer:iie})),sie={xs:Nm("xs"),sm:Nm("md"),md:Nm("lg"),lg:Nm("2xl"),xl:Nm("4xl"),full:Nm("full")},lie=Qae({baseStyle:oie,sizes:sie,defaultProps:{size:"xs"}}),{definePartsStyle:uie,defineMultiStyleConfig:cie}=kr(Vne.keys),fie={borderRadius:"md",py:"1",transitionProperty:"common",transitionDuration:"normal"},die={borderRadius:"md",py:"1",transitionProperty:"common",transitionDuration:"normal",width:"full",_focusVisible:{boxShadow:"outline"},_placeholder:{opacity:.6}},pie={borderRadius:"md",py:"1",transitionProperty:"common",transitionDuration:"normal",width:"full",_focusVisible:{boxShadow:"outline"},_placeholder:{opacity:.6}},hie=uie({preview:fie,input:die,textarea:pie}),mie=cie({baseStyle:hie}),{definePartsStyle:vie,defineMultiStyleConfig:gie}=kr(Hne.keys),yie=e=>({marginStart:"1",color:ze("red.500","red.300")(e)}),bie=e=>({mt:"2",color:ze("gray.600","whiteAlpha.600")(e),lineHeight:"normal",fontSize:"sm"}),Sie=vie(e=>({container:{width:"100%",position:"relative"},requiredIndicator:Xr(yie,e),helperText:Xr(bie,e)})),xie=gie({baseStyle:Sie}),{definePartsStyle:wie,defineMultiStyleConfig:Cie}=kr(Wne.keys),_ie=e=>({color:ze("red.500","red.300")(e),mt:"2",fontSize:"sm",lineHeight:"normal"}),Eie=e=>({marginEnd:"0.5em",color:ze("red.500","red.300")(e)}),Tie=wie(e=>({text:Xr(_ie,e),icon:Xr(Eie,e)})),Nie=Cie({baseStyle:Tie}),Rie={fontSize:"md",marginEnd:"3",mb:"2",fontWeight:"medium",transitionProperty:"common",transitionDuration:"normal",opacity:1,_disabled:{opacity:.4}},Aie={baseStyle:Rie},Oie={fontFamily:"heading",fontWeight:"bold"},kie={"4xl":{fontSize:["6xl",null,"7xl"],lineHeight:1},"3xl":{fontSize:["5xl",null,"6xl"],lineHeight:1},"2xl":{fontSize:["4xl",null,"5xl"],lineHeight:[1.2,null,1]},xl:{fontSize:["3xl",null,"4xl"],lineHeight:[1.33,null,1.2]},lg:{fontSize:["2xl",null,"3xl"],lineHeight:[1.33,null,1.2]},md:{fontSize:"xl",lineHeight:1.2},sm:{fontSize:"md",lineHeight:1.2},xs:{fontSize:"sm",lineHeight:1.2}},Die={baseStyle:Oie,sizes:kie,defaultProps:{size:"xl"}},{definePartsStyle:cc,defineMultiStyleConfig:Pie}=kr(Gne.keys),Mie=cc({field:{width:"100%",minWidth:0,outline:0,position:"relative",appearance:"none",transitionProperty:"common",transitionDuration:"normal",_disabled:{opacity:.4,cursor:"not-allowed"}}}),xf={lg:{fontSize:"lg",px:"4",h:"12",borderRadius:"md"},md:{fontSize:"md",px:"4",h:"10",borderRadius:"md"},sm:{fontSize:"sm",px:"3",h:"8",borderRadius:"sm"},xs:{fontSize:"xs",px:"2",h:"6",borderRadius:"sm"}},Iie={lg:cc({field:xf.lg,addon:xf.lg}),md:cc({field:xf.md,addon:xf.md}),sm:cc({field:xf.sm,addon:xf.sm}),xs:cc({field:xf.xs,addon:xf.xs})};function M2(e){const{focusBorderColor:t,errorBorderColor:r}=e;return{focusBorderColor:t||ze("blue.500","blue.300")(e),errorBorderColor:r||ze("red.500","red.300")(e)}}var Lie=cc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=M2(e);return{field:{border:"1px solid",borderColor:"inherit",bg:"inherit",_hover:{borderColor:ze("gray.300","whiteAlpha.400")(e)},_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Aa(t,i),boxShadow:`0 0 0 1px ${Aa(t,i)}`},_focusVisible:{zIndex:1,borderColor:Aa(t,r),boxShadow:`0 0 0 1px ${Aa(t,r)}`}},addon:{border:"1px solid",borderColor:ze("inherit","whiteAlpha.50")(e),bg:ze("gray.100","whiteAlpha.300")(e)}}}),Fie=cc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=M2(e);return{field:{border:"2px solid",borderColor:"transparent",bg:ze("gray.100","whiteAlpha.50")(e),_hover:{bg:ze("gray.200","whiteAlpha.100")(e)},_readOnly:{boxShadow:"none 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solid",borderColor:"inherit",borderRadius:"0",px:"0",bg:"transparent"}}}),Bie=cc({field:{bg:"transparent",px:"0",height:"auto"},addon:{bg:"transparent",px:"0",height:"auto"}}),Uie={outline:Lie,filled:Fie,flushed:zie,unstyled:Bie},Jn=Pie({baseStyle:Mie,sizes:Iie,variants:Uie,defaultProps:{size:"md",variant:"outline"}}),jie=e=>({bg:ze("gray.100","whiteAlpha")(e),borderRadius:"md",borderWidth:"1px",borderBottomWidth:"3px",fontSize:"0.8em",fontWeight:"bold",lineHeight:"normal",px:"0.4em",whiteSpace:"nowrap"}),$ie={baseStyle:jie},Vie={transitionProperty:"common",transitionDuration:"fast",transitionTimingFunction:"ease-out",cursor:"pointer",textDecoration:"none",outline:"none",color:"inherit",_hover:{textDecoration:"underline"},_focusVisible:{boxShadow:"outline"}},Hie={baseStyle:Vie},{defineMultiStyleConfig:Wie,definePartsStyle:Gie}=kr(Yne.keys),Yie={marginEnd:"2",display:"inline",verticalAlign:"text-bottom"},qie=Gie({icon:Yie}),Kie=Wie({baseStyle:qie}),{defineMultiStyleConfig:Xie,definePartsStyle:Zie}=kr(qne.keys),Qie=e=>({bg:ze("#fff","gray.700")(e),boxShadow:ze("sm","dark-lg")(e),color:"inherit",minW:"3xs",py:"2",zIndex:1,borderRadius:"md",borderWidth:"1px"}),Jie=e=>({py:"1.5",px:"3",transitionProperty:"background",transitionDuration:"ultra-fast",transitionTimingFunction:"ease-in",_focus:{bg:ze("gray.100","whiteAlpha.100")(e)},_active:{bg:ze("gray.200","whiteAlpha.200")(e)},_expanded:{bg:ze("gray.100","whiteAlpha.100")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),eoe={mx:4,my:2,fontWeight:"semibold",fontSize:"sm"},toe={opacity:.6},noe={border:0,borderBottom:"1px solid",borderColor:"inherit",my:"2",opacity:.6},roe={transitionProperty:"common",transitionDuration:"normal"},aoe=Zie(e=>({button:roe,list:Xr(Qie,e),item:Xr(Jie,e),groupTitle:eoe,command:toe,divider:noe})),ioe=Xie({baseStyle:aoe}),{defineMultiStyleConfig:ooe,definePartsStyle:LO}=kr(Kne.keys),soe={bg:"blackAlpha.600",zIndex:"modal"},loe=e=>{const{isCentered:t,scrollBehavior:r}=e;return{display:"flex",zIndex:"modal",justifyContent:"center",alignItems:t?"center":"flex-start",overflow:r==="inside"?"hidden":"auto"}},uoe=e=>{const{scrollBehavior:t}=e;return{borderRadius:"md",bg:ze("white","gray.700")(e),color:"inherit",my:"16",zIndex:"modal",maxH:t==="inside"?"calc(100% - 7.5rem)":void 0,boxShadow:ze("lg","dark-lg")(e)}},coe={px:"6",py:"4",fontSize:"xl",fontWeight:"semibold"},foe={position:"absolute",top:"2",insetEnd:"3"},doe=e=>{const{scrollBehavior:t}=e;return{px:"6",py:"2",flex:"1",overflow:t==="inside"?"auto":void 0}},poe={px:"6",py:"4"},hoe=LO(e=>({overlay:soe,dialogContainer:Xr(loe,e),dialog:Xr(uoe,e),header:coe,closeButton:foe,body:Xr(doe,e),footer:poe}));function gl(e){return LO(e==="full"?{dialog:{maxW:"100vw",minH:"$100vh",my:"0",borderRadius:"0"}}:{dialog:{maxW:e}})}var moe={xs:gl("xs"),sm:gl("sm"),md:gl("md"),lg:gl("lg"),xl:gl("xl"),"2xl":gl("2xl"),"3xl":gl("3xl"),"4xl":gl("4xl"),"5xl":gl("5xl"),"6xl":gl("6xl"),full:gl("full")},voe=ooe({baseStyle:hoe,sizes:moe,defaultProps:{size:"md"}}),goe={letterSpacings:{tighter:"-0.05em",tight:"-0.025em",normal:"0",wide:"0.025em",wider:"0.05em",widest:"0.1em"},lineHeights:{normal:"normal",none:1,shorter:1.25,short:1.375,base:1.5,tall:1.625,taller:"2",3:".75rem",4:"1rem",5:"1.25rem",6:"1.5rem",7:"1.75rem",8:"2rem",9:"2.25rem",10:"2.5rem"},fontWeights:{hairline:100,thin:200,light:300,normal:400,medium:500,semibold:600,bold:700,extrabold:800,black:900},fonts:{heading:'-apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple 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solid",borderStartColor:ze("inherit","whiteAlpha.300")(e),color:ze("inherit","whiteAlpha.800")(e),_active:{bg:ze("gray.200","whiteAlpha.300")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),_oe=N6(e=>({root:Soe,field:xoe,stepperGroup:woe,stepper:Xr(Coe,e)??{}}));function cx(e){var t,r;const i=(t=Jn.sizes)==null?void 0:t[e],s={lg:"md",md:"md",sm:"sm",xs:"sm"},c=((r=i.field)==null?void 0:r.fontSize)??"md",u=T6.fontSizes[c];return N6({field:{...i.field,paddingInlineEnd:R6.reference,verticalAlign:"top"},stepper:{fontSize:uc(u).multiply(.75).toString(),_first:{borderTopEndRadius:s[e]},_last:{borderBottomEndRadius:s[e],mt:"-1px",borderTopWidth:1}}})}var Eoe={xs:cx("xs"),sm:cx("sm"),md:cx("md"),lg:cx("lg")},Toe=yoe({baseStyle:_oe,sizes:Eoe,variants:Jn.variants,defaultProps:Jn.defaultProps}),X5,Noe={...(X5=Jn.baseStyle)==null?void 0:X5.field,textAlign:"center"},Roe={lg:{fontSize:"lg",w:12,h:12,borderRadius:"md"},md:{fontSize:"md",w:10,h:10,borderRadius:"md"},sm:{fontSize:"sm",w:8,h:8,borderRadius:"sm"},xs:{fontSize:"xs",w:6,h:6,borderRadius:"sm"}},Z5,Aoe={outline:e=>{var t,r;return((r=Xr((t=Jn.variants)==null?void 0:t.outline,e))==null?void 0:r.field)??{}},flushed:e=>{var t,r;return((r=Xr((t=Jn.variants)==null?void 0:t.flushed,e))==null?void 0:r.field)??{}},filled:e=>{var t,r;return((r=Xr((t=Jn.variants)==null?void 0:t.filled,e))==null?void 0:r.field)??{}},unstyled:((Z5=Jn.variants)==null?void 0:Z5.unstyled.field)??{}},Ooe={baseStyle:Noe,sizes:Roe,variants:Aoe,defaultProps:Jn.defaultProps},{defineMultiStyleConfig:koe,definePartsStyle:Doe}=kr(Zne.keys),mA=So("popper-bg"),Poe=So("popper-arrow-bg"),Moe=So("popper-arrow-shadow-color"),Ioe={zIndex:10},Loe=e=>{const t=ze("white","gray.700")(e),r=ze("gray.200","whiteAlpha.300")(e);return{[mA.variable]:`colors.${t}`,bg:mA.reference,[Poe.variable]:mA.reference,[Moe.variable]:`colors.${r}`,width:"xs",border:"1px solid",borderColor:"inherit",borderRadius:"md",boxShadow:"sm",zIndex:"inherit",_focusVisible:{outline:0,boxShadow:"outline"}}},Foe={px:3,py:2,borderBottomWidth:"1px"},zoe={px:3,py:2},Boe={px:3,py:2,borderTopWidth:"1px"},Uoe={position:"absolute",borderRadius:"md",top:1,insetEnd:2,padding:2},joe=Doe(e=>({popper:Ioe,content:Loe(e),header:Foe,body:zoe,footer:Boe,closeButton:Uoe})),$oe=koe({baseStyle:joe}),{defineMultiStyleConfig:Voe,definePartsStyle:Py}=kr(Qne.keys),Hoe=e=>{const{colorScheme:t,theme:r,isIndeterminate:i,hasStripe:s}=e,c=ze(W5(),W5("1rem","rgba(0,0,0,0.1)"))(e),u=ze(`${t}.500`,`${t}.200`)(e),h=`linear-gradient(
-    to right,
-    transparent 0%,
-    ${Aa(r,u)} 50%,
-    transparent 100%
-  )`;return{...!i&&s&&c,...i?{bgImage:h}:{bgColor:u}}},Woe={lineHeight:"1",fontSize:"0.25em",fontWeight:"bold",color:"white"},Goe=e=>({bg:ze("gray.100","whiteAlpha.300")(e)}),Yoe=e=>({transitionProperty:"common",transitionDuration:"slow",...Hoe(e)}),qoe=Py(e=>({label:Woe,filledTrack:Yoe(e),track:Goe(e)})),Koe={xs:Py({track:{h:"1"}}),sm:Py({track:{h:"2"}}),md:Py({track:{h:"3"}}),lg:Py({track:{h:"4"}})},Xoe=Voe({sizes:Koe,baseStyle:qoe,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:Zoe,definePartsStyle:Px}=kr(Jne.keys),Qoe=e=>{var t;const r=(t=Xr(gw.baseStyle,e))==null?void 0:t.control;return{...r,borderRadius:"full",_checked:{...r?._checked,_before:{content:'""',display:"inline-block",pos:"relative",w:"50%",h:"50%",borderRadius:"50%",bg:"currentColor"}}}},Joe=Px(e=>{var t,r,i,s;return{label:(r=(t=gw).baseStyle)==null?void 0:r.call(t,e).label,container:(s=(i=gw).baseStyle)==null?void 0:s.call(i,e).container,control:Qoe(e)}}),ese={md:Px({control:{w:"4",h:"4"},label:{fontSize:"md"}}),lg:Px({control:{w:"5",h:"5"},label:{fontSize:"lg"}}),sm:Px({control:{width:"3",height:"3"},label:{fontSize:"sm"}})},tse=Zoe({baseStyle:Joe,sizes:ese,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:nse,definePartsStyle:rse}=kr(ere.keys),ase=e=>{var t;return{...(t=Jn.baseStyle)==null?void 0:t.field,bg:ze("white","gray.700")(e),appearance:"none",paddingBottom:"1px",lineHeight:"normal","> option, > optgroup":{bg:ze("white","gray.700")(e)}}},ise={width:"6",height:"100%",insetEnd:"2",position:"relative",color:"currentColor",fontSize:"xl",_disabled:{opacity:.5}},ose=rse(e=>({field:ase(e),icon:ise})),fx={paddingInlineEnd:"8"},Q5,J5,eF,tF,nF,rF,aF,iF,sse={lg:{...(Q5=Jn.sizes)==null?void 0:Q5.lg,field:{...(J5=Jn.sizes)==null?void 0:J5.lg.field,...fx}},md:{...(eF=Jn.sizes)==null?void 0:eF.md,field:{...(tF=Jn.sizes)==null?void 0:tF.md.field,...fx}},sm:{...(nF=Jn.sizes)==null?void 0:nF.sm,field:{...(rF=Jn.sizes)==null?void 0:rF.sm.field,...fx}},xs:{...(aF=Jn.sizes)==null?void 0:aF.xs,field:{...(iF=Jn.sizes)==null?void 0:iF.sm.field,...fx},icon:{insetEnd:"1"}}},lse=nse({baseStyle:ose,sizes:sse,variants:Jn.variants,defaultProps:Jn.defaultProps}),use=Kf("skeleton-start-color"),cse=Kf("skeleton-end-color"),fse=e=>{const t=ze("gray.100","gray.800")(e),r=ze("gray.400","gray.600")(e),{startColor:i=t,endColor:s=r,theme:c}=e,u=Aa(c,i),h=Aa(c,s);return{[use.variable]:u,[cse.variable]:h,opacity:.7,borderRadius:"2px",borderColor:u,background:h}},dse={baseStyle:fse},pse=e=>({borderRadius:"md",fontWeight:"semibold",_focusVisible:{boxShadow:"outline",padding:"4",position:"fixed",top:"6",insetStart:"6",bg:ze("white","gray.700")(e)}}),hse={baseStyle:pse},{defineMultiStyleConfig:mse,definePartsStyle:fC}=kr(tre.keys),vb=Kf("slider-thumb-size"),gb=Kf("slider-track-size"),vse=e=>{const{orientation:t}=e;return{display:"inline-block",position:"relative",cursor:"pointer",_disabled:{opacity:.6,cursor:"default",pointerEvents:"none"},...D2({orientation:t,vertical:{h:"100%"},horizontal:{w:"100%"}})}},gse=e=>({...D2({orientation:e.orientation,horizontal:{h:gb.reference},vertical:{w:gb.reference}}),overflow:"hidden",borderRadius:"sm",bg:ze("gray.200","whiteAlpha.200")(e),_disabled:{bg:ze("gray.300","whiteAlpha.300")(e)}}),yse=e=>{const{orientation:t}=e;return{...D2({orientation:t,vertical:{left:"50%",transform:"translateX(-50%)",_active:{transform:"translateX(-50%) scale(1.15)"}},horizontal:{top:"50%",transform:"translateY(-50%)",_active:{transform:"translateY(-50%) scale(1.15)"}}}),w:vb.reference,h:vb.reference,display:"flex",alignItems:"center",justifyContent:"center",position:"absolute",outline:0,zIndex:1,borderRadius:"full",bg:"white",boxShadow:"base",border:"1px 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zfe={isConnected:!1,isProcessing:!1,currentStep:0,log:[],shouldShowLogViewer:!1,shouldDisplayInProgress:!1,isGFPGANAvailable:!0,isESRGANAvailable:!0,socketId:"",shouldConfirmOnDelete:!0,openAccordions:[0]},Bfe=zfe,cU=V2({name:"system",initialState:Bfe,reducers:{setShouldDisplayInProgress:(e,t)=>{e.shouldDisplayInProgress=t.payload},setIsProcessing:(e,t)=>{e.isProcessing=t.payload,t.payload===!1&&(e.currentStep=0)},setCurrentStep:(e,t)=>{e.currentStep=t.payload},addLogEntry:(e,t)=>{const r={timestamp:Mfe(new Date,"isoDateTime"),message:t.payload};e.log.push(r)},setShouldShowLogViewer:(e,t)=>{e.shouldShowLogViewer=t.payload},setIsConnected:(e,t)=>{e.isConnected=t.payload},setSocketId:(e,t)=>{e.socketId=t.payload},setShouldConfirmOnDelete:(e,t)=>{e.shouldConfirmOnDelete=t.payload},setOpenAccordions:(e,t)=>{e.openAccordions=t.payload}}}),{setShouldDisplayInProgress:Ufe,setIsProcessing:wf,setCurrentStep:hx,addLogEntry:qi,setShouldShowLogViewer:jfe,setIsConnected:jF,setSocketId:Eme,setShouldConfirmOnDelete:fU,setOpenAccordions:$fe}=cU.actions,Vfe=cU.reducer,vu=Object.create(null);vu.open="0";vu.close="1";vu.ping="2";vu.pong="3";vu.message="4";vu.upgrade="5";vu.noop="6";const Lx=Object.create(null);Object.keys(vu).forEach(e=>{Lx[vu[e]]=e});const Hfe={type:"error",data:"parser error"},Wfe=typeof Blob=="function"||typeof Blob<"u"&&Object.prototype.toString.call(Blob)==="[object BlobConstructor]",Gfe=typeof ArrayBuffer=="function",Yfe=e=>typeof 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i="";this.opts.timestampRequests!==!1&&(t[this.opts.timestampParam]=SU()),!this.supportsBinary&&!t.sid&&(t.b64=1),this.opts.port&&(r==="https"&&Number(this.opts.port)!==443||r==="http"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port);const s=xU(t),c=this.opts.hostname.indexOf(":")!==-1;return r+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(s.length?"?"+s:"")}request(t={}){return Object.assign(t,{xd:this.xd,xs:this.xs},this.opts),new du(this.uri(),t)}doWrite(t,r){const i=this.request({method:"POST",data:t});i.on("success",r),i.on("error",(s,c)=>{this.onError("xhr post error",s,c)})}doPoll(){const t=this.request();t.on("data",this.onData.bind(this)),t.on("error",(r,i)=>{this.onError("xhr poll error",r,i)}),this.pollXhr=t}}class du extends ua{constructor(t,r){super(),pC(this,r),this.opts=r,this.method=r.method||"GET",this.uri=t,this.async=r.async!==!1,this.data=r.data!==void 0?r.data:null,this.create()}create(){const t=gU(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");t.xdomain=!!this.opts.xd,t.xscheme=!!this.opts.xs;const r=this.xhr=new CU(t);try{r.open(this.method,this.uri,this.async);try{if(this.opts.extraHeaders){r.setDisableHeaderCheck&&r.setDisableHeaderCheck(!0);for(let i in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=du.requestsCount++,du.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=ude,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete du.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}}du.requestsCount=0;du.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",YF);else if(typeof addEventListener=="function"){const e="onpagehide"in Lf?"pagehide":"unload";addEventListener(e,YF,!1)}}function YF(){for(let e in du.requests)du.requests.hasOwnProperty(e)&&du.requests[e].abort()}const dde=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,r)=>r(t,0))(),vx=Lf.WebSocket||Lf.MozWebSocket,qF=!0,pde="arraybuffer",KF=typeof 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mde={websocket:hde,polling:fde},vde=/^(?:(?![^:@]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@]*)(?::([^:@]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,gde=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function ek(e){const t=e,r=e.indexOf("["),i=e.indexOf("]");r!=-1&&i!=-1&&(e=e.substring(0,r)+e.substring(r,i).replace(/:/g,";")+e.substring(i,e.length));let s=vde.exec(e||""),c={},u=14;for(;u--;)c[gde[u]]=s[u]||"";return r!=-1&&i!=-1&&(c.source=t,c.host=c.host.substring(1,c.host.length-1).replace(/;/g,":"),c.authority=c.authority.replace("[","").replace("]","").replace(/;/g,":"),c.ipv6uri=!0),c.pathNames=yde(c,c.path),c.queryKey=bde(c,c.query),c}function yde(e,t){const r=/\/{2,9}/g,i=t.replace(r,"/").split("/");return(t.substr(0,1)=="/"||t.length===0)&&i.splice(0,1),t.substr(t.length-1,1)=="/"&&i.splice(i.length-1,1),i}function bde(e,t){const r={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(i,s,c){s&&(r[s]=c)}),r}class kf extends ua{constructor(t,r={}){super(),t&&typeof t=="object"&&(r=t,t=null),t?(t=ek(t),r.hostname=t.host,r.secure=t.protocol==="https"||t.protocol==="wss",r.port=t.port,t.query&&(r.query=t.query)):r.host&&(r.hostname=ek(r.host).host),pC(this,r),this.secure=r.secure!=null?r.secure:typeof location<"u"&&location.protocol==="https:",r.hostname&&!r.port&&(r.port=this.secure?"443":"80"),this.hostname=r.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=r.port||(typeof 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lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const r=Object.assign({},this.opts.query);r.EIO=vU,r.transport=t,this.id&&(r.sid=this.id);const i=Object.assign({},this.opts.transportOptions[t],this.opts,{query:r,socket:this,hostname:this.hostname,secure:this.secure,port:this.port});return new mde[t](i)}open(){let t;if(this.opts.rememberUpgrade&&kf.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",r=>this.onClose("transport close",r))}probe(t){let r=this.createTransport(t),i=!1;kf.priorWebsocketSuccess=!1;const s=()=>{i||(r.send([{type:"ping",data:"probe"}]),r.once("packet",x=>{if(!i)if(x.type==="pong"&&x.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",r),!r)return;kf.priorWebsocketSuccess=r.name==="websocket",this.transport.pause(()=>{i||this.readyState!=="closed"&&(b(),this.setTransport(r),r.send([{type:"upgrade"}]),this.emitReserved("upgrade",r),r=null,this.upgrading=!1,this.flush())})}else{const C=new Error("probe error");C.transport=r.name,this.emitReserved("upgradeError",C)}}))};function c(){i||(i=!0,b(),r.close(),r=null)}const u=x=>{const C=new Error("probe error: "+x);C.transport=r.name,c(),this.emitReserved("upgradeError",C)};function h(){u("transport closed")}function m(){u("socket closed")}function v(x){r&&x.name!==r.name&&c()}const b=()=>{r.removeListener("open",s),r.removeListener("error",u),r.removeListener("close",h),this.off("close",m),this.off("upgrading",v)};r.once("open",s),r.once("error",u),r.once("close",h),this.once("close",m),this.once("upgrading",v),r.open()}onOpen(){if(this.readyState="open",kf.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade&&this.transport.pause){let t=0;const r=this.upgrades.length;for(;t<r;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const r=new Error("server error");r.code=t.data,this.onError(r);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let r=1;for(let i=0;i<this.writeBuffer.length;i++){const s=this.writeBuffer[i].data;if(s&&(r+=rde(s)),i>0&&r>this.maxPayload)return this.writeBuffer.slice(0,i);r+=2}return this.writeBuffer}write(t,r,i){return this.sendPacket("message",t,r,i),this}send(t,r,i){return this.sendPacket("message",t,r,i),this}sendPacket(t,r,i,s){if(typeof r=="function"&&(s=r,r=void 0),typeof i=="function"&&(s=i,i=null),this.readyState==="closing"||this.readyState==="closed")return;i=i||{},i.compress=i.compress!==!1;const c={type:t,data:r,options:i};this.emitReserved("packetCreate",c),this.writeBuffer.push(c),s&&this.once("flush",s),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},r=()=>{this.off("upgrade",r),this.off("upgradeError",r),t()},i=()=>{this.once("upgrade",r),this.once("upgradeError",r)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?i():t()}):this.upgrading?i():t()),this}onError(t){kf.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,r){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&removeEventListener("offline",this.offlineEventListener,!1),this.readyState="closed",this.id=null,this.emitReserved("close",t,r),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const r=[];let i=0;const s=t.length;for(;i<s;i++)~this.transports.indexOf(t[i])&&r.push(t[i]);return r}}kf.protocol=vU;function Sde(e,t="",r){let i=e;r=r||typeof location<"u"&&location,e==null&&(e=r.protocol+"//"+r.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=r.protocol+e:e=r.host+e),/^(https?|wss?):\/\//.test(e)||(typeof r<"u"?e=r.protocol+"//"+e:e="https://"+e),i=ek(e)),i.port||(/^(http|ws)$/.test(i.protocol)?i.port="80":/^(http|ws)s$/.test(i.protocol)&&(i.port="443")),i.path=i.path||"/";const c=i.host.indexOf(":")!==-1?"["+i.host+"]":i.host;return i.id=i.protocol+"://"+c+":"+i.port+t,i.href=i.protocol+"://"+c+(r&&r.port===i.port?"":":"+i.port),i}const xde=typeof ArrayBuffer=="function",wde=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,_U=Object.prototype.toString,Cde=typeof Blob=="function"||typeof Blob<"u"&&_U.call(Blob)==="[object BlobConstructor]",_de=typeof File=="function"||typeof File<"u"&&_U.call(File)==="[object FileConstructor]";function Z2(e){return xde&&(e instanceof ArrayBuffer||wde(e))||Cde&&e instanceof Blob||_de&&e instanceof File}function Fx(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let r=0,i=e.length;r<i;r++)if(Fx(e[r]))return!0;return!1}if(Z2(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return Fx(e.toJSON(),!0);for(const r in e)if(Object.prototype.hasOwnProperty.call(e,r)&&Fx(e[r]))return!0;return!1}function Ede(e){const t=[],r=e.data,i=e;return i.data=tk(r,t),i.attachments=t.length,{packet:i,buffers:t}}function tk(e,t){if(!e)return e;if(Z2(e)){const r={_placeholder:!0,num:t.length};return t.push(e),r}else if(Array.isArray(e)){const r=new Array(e.length);for(let i=0;i<e.length;i++)r[i]=tk(e[i],t);return r}else if(typeof e=="object"&&!(e instanceof Date)){const r={};for(const i in e)Object.prototype.hasOwnProperty.call(e,i)&&(r[i]=tk(e[i],t));return r}return e}function Tde(e,t){return e.data=nk(e.data,t),e.attachments=void 0,e}function nk(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let r=0;r<e.length;r++)e[r]=nk(e[r],t);else if(typeof e=="object")for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(e[r]=nk(e[r],t));return e}const Nde=5;var Vn;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Vn||(Vn={}));class Rde{constructor(t){this.replacer=t}encode(t){return(t.type===Vn.EVENT||t.type===Vn.ACK)&&Fx(t)?(t.type=t.type===Vn.EVENT?Vn.BINARY_EVENT:Vn.BINARY_ACK,this.encodeAsBinary(t)):[this.encodeAsString(t)]}encodeAsString(t){let r=""+t.type;return(t.type===Vn.BINARY_EVENT||t.type===Vn.BINARY_ACK)&&(r+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(r+=t.nsp+","),t.id!=null&&(r+=t.id),t.data!=null&&(r+=JSON.stringify(t.data,this.replacer)),r}encodeAsBinary(t){const r=Ede(t),i=this.encodeAsString(r.packet),s=r.buffers;return s.unshift(i),s}}class Q2 extends ua{constructor(t){super(),this.reviver=t}add(t){let r;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");r=this.decodeString(t),r.type===Vn.BINARY_EVENT||r.type===Vn.BINARY_ACK?(this.reconstructor=new Ade(r),r.attachments===0&&super.emitReserved("decoded",r)):super.emitReserved("decoded",r)}else if(Z2(t)||t.base64)if(this.reconstructor)r=this.reconstructor.takeBinaryData(t),r&&(this.reconstructor=null,super.emitReserved("decoded",r));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let r=0;const i={type:Number(t.charAt(0))};if(Vn[i.type]===void 0)throw new Error("unknown packet type "+i.type);if(i.type===Vn.BINARY_EVENT||i.type===Vn.BINARY_ACK){const c=r+1;for(;t.charAt(++r)!=="-"&&r!=t.length;);const u=t.substring(c,r);if(u!=Number(u)||t.charAt(r)!=="-")throw new Error("Illegal attachments");i.attachments=Number(u)}if(t.charAt(r+1)==="/"){const c=r+1;for(;++r&&!(t.charAt(r)===","||r===t.length););i.nsp=t.substring(c,r)}else i.nsp="/";const s=t.charAt(r+1);if(s!==""&&Number(s)==s){const c=r+1;for(;++r;){const u=t.charAt(r);if(u==null||Number(u)!=u){--r;break}if(r===t.length)break}i.id=Number(t.substring(c,r+1))}if(t.charAt(++r)){const c=this.tryParse(t.substr(r));if(Q2.isPayloadValid(i.type,c))i.data=c;else throw new Error("invalid payload")}return i}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,r){switch(t){case Vn.CONNECT:return typeof r=="object";case Vn.DISCONNECT:return r===void 0;case Vn.CONNECT_ERROR:return typeof r=="string"||typeof r=="object";case Vn.EVENT:case Vn.BINARY_EVENT:return Array.isArray(r)&&r.length>0;case Vn.ACK:case Vn.BINARY_ACK:return Array.isArray(r)}}destroy(){this.reconstructor&&this.reconstructor.finishedReconstruction()}}class Ade{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const r=Tde(this.reconPack,this.buffers);return this.finishedReconstruction(),r}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const Ode=Object.freeze(Object.defineProperty({__proto__:null,protocol:Nde,get PacketType(){return Vn},Encoder:Rde,Decoder:Q2},Symbol.toStringTag,{value:"Module"}));function Sl(e,t,r){return e.on(t,r),function(){e.off(t,r)}}const kde=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class EU extends ua{constructor(t,r,i){super(),this.connected=!1,this.receiveBuffer=[],this.sendBuffer=[],this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=r,i&&i.auth&&(this.auth=i.auth),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Sl(t,"open",this.onopen.bind(this)),Sl(t,"packet",this.onpacket.bind(this)),Sl(t,"error",this.onerror.bind(this)),Sl(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...r){if(kde.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');r.unshift(t);const i={type:Vn.EVENT,data:r};if(i.options={},i.options.compress=this.flags.compress!==!1,typeof r[r.length-1]=="function"){const u=this.ids++,h=r.pop();this._registerAckCallback(u,h),i.id=u}const s=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!s||!this.connected)||(this.connected?(this.notifyOutgoingListeners(i),this.packet(i)):this.sendBuffer.push(i)),this.flags={},this}_registerAckCallback(t,r){const i=this.flags.timeout;if(i===void 0){this.acks[t]=r;return}const s=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let c=0;c<this.sendBuffer.length;c++)this.sendBuffer[c].id===t&&this.sendBuffer.splice(c,1);r.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...c)=>{this.io.clearTimeoutFn(s),r.apply(this,[null,...c])}}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this.packet({type:Vn.CONNECT,data:t})}):this.packet({type:Vn.CONNECT,data:this.auth})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,r){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,r)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Vn.CONNECT:if(t.data&&t.data.sid){const s=t.data.sid;this.onconnect(s)}else this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Vn.EVENT:case Vn.BINARY_EVENT:this.onevent(t);break;case Vn.ACK:case Vn.BINARY_ACK:this.onack(t);break;case Vn.DISCONNECT:this.ondisconnect();break;case Vn.CONNECT_ERROR:this.destroy();const i=new Error(t.data.message);i.data=t.data.data,this.emitReserved("connect_error",i);break}}onevent(t){const r=t.data||[];t.id!=null&&r.push(this.ack(t.id)),this.connected?this.emitEvent(r):this.receiveBuffer.push(Object.freeze(r))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const r=this._anyListeners.slice();for(const i of r)i.apply(this,t)}super.emit.apply(this,t)}ack(t){const r=this;let i=!1;return function(...s){i||(i=!0,r.packet({type:Vn.ACK,id:t,data:s}))}}onack(t){const r=this.acks[t.id];typeof r=="function"&&(r.apply(this,t.data),delete this.acks[t.id])}onconnect(t){this.id=t,this.connected=!0,this.emitBuffered(),this.emitReserved("connect")}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Vn.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const r=this._anyListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const r=this._anyOutgoingListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const r=this._anyOutgoingListeners.slice();for(const i of r)i.apply(this,t.data)}}}function lv(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}lv.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),r=Math.floor(t*this.jitter*e);e=(Math.floor(t*10)&1)==0?e-r:e+r}return Math.min(e,this.max)|0};lv.prototype.reset=function(){this.attempts=0};lv.prototype.setMin=function(e){this.ms=e};lv.prototype.setMax=function(e){this.max=e};lv.prototype.setJitter=function(e){this.jitter=e};class rk extends ua{constructor(t,r){var i;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(r=t,t=void 0),r=r||{},r.path=r.path||"/socket.io",this.opts=r,pC(this,r),this.reconnection(r.reconnection!==!1),this.reconnectionAttempts(r.reconnectionAttempts||1/0),this.reconnectionDelay(r.reconnectionDelay||1e3),this.reconnectionDelayMax(r.reconnectionDelayMax||5e3),this.randomizationFactor((i=r.randomizationFactor)!==null&&i!==void 0?i:.5),this.backoff=new lv({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(r.timeout==null?2e4:r.timeout),this._readyState="closed",this.uri=t;const s=r.parser||Ode;this.encoder=new s.Encoder,this.decoder=new s.Decoder,this._autoConnect=r.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var r;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(r=this.backoff)===null||r===void 0||r.setMin(t),this)}randomizationFactor(t){var r;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(r=this.backoff)===null||r===void 0||r.setJitter(t),this)}reconnectionDelayMax(t){var r;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(r=this.backoff)===null||r===void 0||r.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new kf(this.uri,this.opts);const r=this.engine,i=this;this._readyState="opening",this.skipReconnect=!1;const s=Sl(r,"open",function(){i.onopen(),t&&t()}),c=Sl(r,"error",u=>{i.cleanup(),i._readyState="closed",this.emitReserved("error",u),t?t(u):i.maybeReconnectOnOpen()});if(this._timeout!==!1){const u=this._timeout;u===0&&s();const h=this.setTimeoutFn(()=>{s(),r.close(),r.emit("error",new Error("timeout"))},u);this.opts.autoUnref&&h.unref(),this.subs.push(function(){clearTimeout(h)})}return this.subs.push(s),this.subs.push(c),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(Sl(t,"ping",this.onping.bind(this)),Sl(t,"data",this.ondata.bind(this)),Sl(t,"error",this.onerror.bind(this)),Sl(t,"close",this.onclose.bind(this)),Sl(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch{this.onclose("parse error")}}ondecoded(t){this.emitReserved("packet",t)}onerror(t){this.emitReserved("error",t)}socket(t,r){let i=this.nsps[t];return i||(i=new EU(this,t,r),this.nsps[t]=i),i}_destroy(t){const r=Object.keys(this.nsps);for(const i of r)if(this.nsps[i].active)return;this._close()}_packet(t){const r=this.encoder.encode(t);for(let i=0;i<r.length;i++)this.engine.write(r[i],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,r){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,r),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const r=this.backoff.duration();this._reconnecting=!0;const i=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(s=>{s?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",s)):t.onreconnect()}))},r);this.opts.autoUnref&&i.unref(),this.subs.push(function(){clearTimeout(i)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const Ry={};function zx(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const r=Sde(e,t.path||"/socket.io"),i=r.source,s=r.id,c=r.path,u=Ry[s]&&c in Ry[s].nsps,h=t.forceNew||t["force new connection"]||t.multiplex===!1||u;let m;return h?m=new rk(i,t):(Ry[s]||(Ry[s]=new rk(i,t)),m=Ry[s]),r.query&&!t.query&&(t.query=r.queryKey),m.socket(r.path,t)}Object.assign(zx,{Manager:rk,Socket:EU,io:zx,connect:zx});const Dde=()=>{const{hostname:e,port:t}=new URL(window.location.href),r=zx(`http://${e}:9090`);let i=!1;return 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0),size:"xs",fontSize:15},void 0,!1,{fileName:Os,lineNumber:98,columnNumber:15},void 0)},void 0,!1,{fileName:Os,lineNumber:97,columnNumber:13},void 0),k(Ds,{"aria-label":"Use all parameters",colorScheme:"blue",icon:k(ype,{},void 0,!1,{fileName:Os,lineNumber:109,columnNumber:21},void 0),size:"xs",fontSize:15,onClickCapture:N},void 0,!1,{fileName:Os,lineNumber:106,columnNumber:13},void 0),h.metadata.seed&&k(Ds,{"aria-label":"Use seed",colorScheme:"blue",icon:k(wpe,{},void 0,!1,{fileName:Os,lineNumber:118,columnNumber:23},void 0),size:"xs",fontSize:16,onClickCapture:A},void 0,!1,{fileName:Os,lineNumber:115,columnNumber:15},void 0)]},void 0,!0,{fileName:Os,lineNumber:90,columnNumber:11},void 0)]},void 0,!0,{fileName:Os,lineNumber:71,columnNumber:7},void 0)]},b,!0,{fileName:Os,lineNumber:61,columnNumber:5},void 0)},Wpe);var JF="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/gallery/ImageGallery.tsx";const Ype=()=>{const{images:e,currentImageUuid:t}=mr(r=>r.gallery);return k(On,{gap:2,wrap:"wrap",pb:2,children:[...e].reverse().map(r=>{const{uuid:i}=r;return k(Gpe,{image:r,isSelected:t===i},i,!1,{fileName:JF,lineNumber:28,columnNumber:11},void 0)})},void 0,!1,{fileName:JF,lineNumber:23,columnNumber:5},void 0)};function qpe(e){return Zo({tag:"svg",attr:{viewBox:"0 0 24 24"},child:[{tag:"path",attr:{fill:"none",d:"M0 0h24v24H0z"}},{tag:"path",attr:{d:"M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm1 17h-2v-2h2v2zm2.07-7.75l-.9.92C13.45 12.9 13 13.5 13 15h-2v-.5c0-1.1.45-2.1 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41 0-1.1-.9-2-2-2s-2 .9-2 2H8c0-2.21 1.79-4 4-4s4 1.79 4 4c0 .88-.36 1.68-.93 2.25z"}}]})(e)}function Kpe(e){return Zo({tag:"svg",attr:{viewBox:"0 0 24 24"},child:[{tag:"path",attr:{fill:"none",d:"M0 0h24v24H0V0z"}},{tag:"path",attr:{d:"M19.14 12.94c.04-.3.06-.61.06-.94 0-.32-.02-.64-.07-.94l2.03-1.58a.49.49 0 00.12-.61l-1.92-3.32a.488.488 0 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Xpe=$r(e=>e.system,e=>{const{shouldDisplayInProgress:t,shouldConfirmOnDelete:r}=e;return{shouldDisplayInProgress:t,shouldConfirmOnDelete:r}},{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),Zpe=({children:e})=>{const{isOpen:t,onOpen:r,onClose:i}=bO(),{isOpen:s,onOpen:c,onClose:u}=bO(),{shouldDisplayInProgress:h,shouldConfirmOnDelete:m}=mr(Xpe),v=ui(),b=()=>{ZU.purge().then(()=>{i(),c()})};return k(yo,{children:[D.exports.cloneElement(e,{onClick:r}),k(mb,{isOpen:t,onClose:i,children:[k(mw,{},void 0,!1,{fileName:hr,lineNumber:89,columnNumber:9},void 0),k(hw,{children:[k(O2,{children:"Settings"},void 0,!1,{fileName:hr,lineNumber:91,columnNumber:11},void 0),k(e6,{},void 0,!1,{fileName:hr,lineNumber:92,columnNumber:11},void 0),k(pw,{children:k(On,{gap:5,direction:"column",children:[k(Vf,{children:k(uw,{children:[k(Hf,{marginBottom:1,children:"Display in-progress images (slower)"},void 0,!1,{fileName:hr,lineNumber:97,columnNumber:19},void 0),k(zf,{isChecked:h,onChange:x=>v(Ufe(x.target.checked))},void 0,!1,{fileName:hr,lineNumber:100,columnNumber:19},void 0)]},void 0,!0,{fileName:hr,lineNumber:96,columnNumber:17},void 0)},void 0,!1,{fileName:hr,lineNumber:95,columnNumber:15},void 0),k(Vf,{children:k(uw,{children:[k(Hf,{marginBottom:1,children:"Confirm on delete"},void 0,!1,{fileName:hr,lineNumber:110,columnNumber:19},void 0),k(zf,{isChecked:m,onChange:x=>v(fU(x.target.checked))},void 0,!1,{fileName:hr,lineNumber:111,columnNumber:19},void 0)]},void 0,!0,{fileName:hr,lineNumber:109,columnNumber:17},void 0)},void 0,!1,{fileName:hr,lineNumber:108,columnNumber:15},void 0),k(c2,{size:"md",children:"Reset Web UI"},void 0,!1,{fileName:hr,lineNumber:120,columnNumber:15},void 0),k(Or,{children:"Resetting the web UI only resets the browser's local cache of your images and remembered settings. It does not delete any images from disk."},void 0,!1,{fileName:hr,lineNumber:121,columnNumber:15},void 0),k(Or,{children:"If images aren't showing up in the gallery or something else isn't working, please try resetting before submitting an issue on GitHub."},void 0,!1,{fileName:hr,lineNumber:126,columnNumber:15},void 0),k(hu,{colorScheme:"red",onClick:b,children:"Reset Web UI"},void 0,!1,{fileName:hr,lineNumber:131,columnNumber:15},void 0)]},void 0,!0,{fileName:hr,lineNumber:94,columnNumber:13},void 0)},void 0,!1,{fileName:hr,lineNumber:93,columnNumber:11},void 0),k(A2,{children:k(hu,{onClick:i,children:"Close"},void 0,!1,{fileName:hr,lineNumber:138,columnNumber:13},void 0)},void 0,!1,{fileName:hr,lineNumber:137,columnNumber:11},void 0)]},void 0,!0,{fileName:hr,lineNumber:90,columnNumber:9},void 0)]},void 0,!0,{fileName:hr,lineNumber:88,columnNumber:7},void 0),k(mb,{closeOnOverlayClick:!1,isOpen:s,onClose:u,isCentered:!0,children:[k(mw,{bg:"blackAlpha.300",backdropFilter:"blur(40px)"},void 0,!1,{fileName:hr,lineNumber:149,columnNumber:9},void 0),k(hw,{children:k(pw,{pb:6,pt:6,children:k(On,{justifyContent:"center",children:k(Or,{fontSize:"lg",children:"Web UI has been reset. Refresh the page to reload."},void 0,!1,{fileName:hr,lineNumber:153,columnNumber:15},void 0)},void 0,!1,{fileName:hr,lineNumber:152,columnNumber:13},void 0)},void 0,!1,{fileName:hr,lineNumber:151,columnNumber:11},void 0)},void 0,!1,{fileName:hr,lineNumber:150,columnNumber:9},void 0)]},void 0,!0,{fileName:hr,lineNumber:143,columnNumber:7},void 0)]},void 0,!0)};var Ri="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/header/SiteHeader.tsx";const Qpe=$r(e=>e.system,e=>({isConnected:e.isConnected}),{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),Jpe=()=>{const{colorMode:e,toggleColorMode:t}=kw(),{isConnected:r}=mr(Qpe),i=r?"Connected to server":"No connection to server",s=r?"green.500":"red.500",c=e=="light"?k(Spe,{},void 0,!1,{fileName:Ri,lineNumber:43,columnNumber:48},void 0):k(Cpe,{},void 0,!1,{fileName:Ri,lineNumber:43,columnNumber:61},void 0),u=e=="light"?18:20;return k(On,{minWidth:"max-content",alignItems:"center",gap:"1",pl:2,pr:1,children:[k(c2,{size:"lg",children:"Stable Diffusion Dream Server"},void 0,!1,{fileName:Ri,lineNumber:50,columnNumber:7},void 0),k(Kz,{},void 0,!1,{fileName:Ri,lineNumber:52,columnNumber:7},void 0),k(Or,{textColor:s,children:i},void 0,!1,{fileName:Ri,lineNumber:54,columnNumber:7},void 0),k(Zpe,{children:k(Ds,{"aria-label":"Settings",variant:"link",fontSize:24,size:"sm",icon:k(Kpe,{},void 0,!1,{fileName:Ri,lineNumber:62,columnNumber:17},void 0)},void 0,!1,{fileName:Ri,lineNumber:57,columnNumber:9},void 0)},void 0,!1,{fileName:Ri,lineNumber:56,columnNumber:7},void 0),k(Ds,{"aria-label":"Link to Github Issues",variant:"link",fontSize:23,size:"sm",icon:k(lw,{isExternal:!0,href:"http://github.com/lstein/stable-diffusion/issues",children:k(qpe,{},void 0,!1,{fileName:Ri,lineNumber:76,columnNumber:13},void 0)},void 0,!1,{fileName:Ri,lineNumber:72,columnNumber:11},void 0)},void 0,!1,{fileName:Ri,lineNumber:66,columnNumber:7},void 0),k(Ds,{"aria-label":"Link to Github Repo",variant:"link",fontSize:20,size:"sm",icon:k(lw,{isExternal:!0,href:"http://github.com/lstein/stable-diffusion",children:k(hpe,{},void 0,!1,{fileName:Ri,lineNumber:88,columnNumber:13},void 0)},void 0,!1,{fileName:Ri,lineNumber:87,columnNumber:11},void 0)},void 0,!1,{fileName:Ri,lineNumber:81,columnNumber:7},void 0),k(Ds,{"aria-label":"Toggle Dark Mode",onClick:t,variant:"link",size:"sm",fontSize:u,icon:c},void 0,!1,{fileName:Ri,lineNumber:93,columnNumber:7},void 0)]},void 0,!0,{fileName:Ri,lineNumber:49,columnNumber:5},void 0)};var sc="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/components/SDNumberInput.tsx";const Uf=e=>{const{label:t,isDisabled:r=!1,fontSize:i="md",size:s="sm",width:c,isInvalid:u,...h}=e;return k(Vf,{isDisabled:r,width:c,isInvalid:u,children:k(On,{gap:2,justifyContent:"space-between",alignItems:"center",children:[t&&k(Hf,{marginBottom:1,children:k(Or,{fontSize:i,whiteSpace:"nowrap",children:t},void 0,!1,{fileName:sc,lineNumber:37,columnNumber:13},void 0)},void 0,!1,{fileName:sc,lineNumber:36,columnNumber:11},void 0),k(a6,{size:s,...h,keepWithinRange:!1,clampValueOnBlur:!0,children:[k(o6,{fontSize:"md"},void 0,!1,{fileName:sc,lineNumber:48,columnNumber:11},void 0),k(i6,{children:[k(u6,{},void 0,!1,{fileName:sc,lineNumber:50,columnNumber:13},void 0),k(l6,{},void 0,!1,{fileName:sc,lineNumber:51,columnNumber:13},void 0)]},void 0,!0,{fileName:sc,lineNumber:49,columnNumber:11},void 0)]},void 0,!0,{fileName:sc,lineNumber:42,columnNumber:9},void 0)]},void 0,!0,{fileName:sc,lineNumber:34,columnNumber:7},void 0)},void 0,!1,{fileName:sc,lineNumber:33,columnNumber:5},void 0)};var gx="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/components/SDSwitch.tsx";const Tw=e=>{const{label:t,isDisabled:r=!1,fontSize:i="md",size:s="md",width:c,...u}=e;return k(Vf,{isDisabled:r,width:c,children:k(On,{justifyContent:"space-between",alignItems:"center",children:[t&&k(Hf,{fontSize:i,marginBottom:1,flexGrow:2,whiteSpace:"nowrap",children:t},void 0,!1,{fileName:gx,lineNumber:30,columnNumber:11},void 0),k(zf,{size:s,...u},void 0,!1,{fileName:gx,lineNumber:39,columnNumber:9},void 0)]},void 0,!0,{fileName:gx,lineNumber:28,columnNumber:7},void 0)},void 0,!1,{fileName:gx,lineNumber:27,columnNumber:5},void 0)};var po="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/SeedVariationOptions.tsx";const ehe=$r(e=>e.sd,e=>({variationAmount:e.variationAmount,seedWeights:e.seedWeights,shouldGenerateVariations:e.shouldGenerateVariations,shouldRandomizeSeed:e.shouldRandomizeSeed,seed:e.seed,iterations:e.iterations}),{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),the=()=>{const{shouldGenerateVariations:e,variationAmount:t,seedWeights:r,shouldRandomizeSeed:i,seed:s,iterations:c}=mr(ehe),u=ui(),h=N=>u(qce(Number(N))),m=N=>u(pfe(N.target.checked)),v=N=>u(Ew(Number(N))),b=()=>u(Ew(oU(ZO,QO))),x=N=>u(lfe(N.target.checked)),C=N=>u(cfe(Number(N))),_=N=>u(ufe(N.target.value));return k(On,{gap:2,direction:"column",children:[k(Uf,{label:"Images to generate",step:1,min:1,precision:0,onChange:h,value:c},void 0,!1,{fileName:po,lineNumber:87,columnNumber:7},void 0),k(Tw,{label:"Randomize seed on generation",isChecked:i,onChange:m},void 0,!1,{fileName:po,lineNumber:95,columnNumber:7},void 0),k(On,{gap:2,children:[k(Uf,{label:"Seed",step:1,precision:0,flexGrow:1,min:ZO,max:QO,isDisabled:i,isInvalid:s<0&&e,onChange:v,value:s},void 0,!1,{fileName:po,lineNumber:101,columnNumber:9},void 0),k(hu,{size:"sm",isDisabled:i,onClick:b,children:k(Or,{pl:2,pr:2,children:"Shuffle"},void 0,!1,{fileName:po,lineNumber:118,columnNumber:11},void 0)},void 0,!1,{fileName:po,lineNumber:113,columnNumber:9},void 0)]},void 0,!0,{fileName:po,lineNumber:100,columnNumber:7},void 0),k(Tw,{label:"Generate variations",isChecked:e,width:"auto",onChange:x},void 0,!1,{fileName:po,lineNumber:123,columnNumber:7},void 0),k(Uf,{label:"Variation amount",value:t,step:.01,min:0,max:1,onChange:C},void 0,!1,{fileName:po,lineNumber:129,columnNumber:7},void 0),k(Vf,{isInvalid:e&&!(dC(r)||r===""),flexGrow:1,children:k(uw,{children:[k(Hf,{marginInlineEnd:0,marginBottom:1,children:k(Or,{whiteSpace:"nowrap",children:"Seed Weights"},void 0,!1,{fileName:po,lineNumber:146,columnNumber:13},void 0)},void 0,!1,{fileName:po,lineNumber:145,columnNumber:11},void 0),k(s2,{size:"sm",value:r,onChange:_},void 0,!1,{fileName:po,lineNumber:148,columnNumber:11},void 0)]},void 0,!0,{fileName:po,lineNumber:144,columnNumber:9},void 0)},void 0,!1,{fileName:po,lineNumber:137,columnNumber:7},void 0)]},void 0,!0,{fileName:po,lineNumber:86,columnNumber:5},void 0)};var Sp="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/components/SDSelect.tsx";const Nw=e=>{const{label:t,isDisabled:r,validValues:i,size:s="sm",fontSize:c="md",marginBottom:u=1,whiteSpace:h="nowrap",...m}=e;return k(Vf,{isDisabled:r,children:k(On,{justifyContent:"space-between",alignItems:"center",children:[k(Hf,{marginBottom:u,children:k(Or,{fontSize:c,whiteSpace:h,children:t},void 0,!1,{fileName:Sp,lineNumber:34,columnNumber:11},void 0)},void 0,!1,{fileName:Sp,lineNumber:33,columnNumber:9},void 0),k(d6,{fontSize:c,size:s,...m,children:i.map(v=>typeof v=="string"||typeof v=="number"?k("option",{value:v,children:v},v,!1,{fileName:Sp,lineNumber:41,columnNumber:15},void 0):k("option",{value:v.value,children:v.key},v.value,!1,{fileName:Sp,lineNumber:45,columnNumber:15},void 0))},void 0,!1,{fileName:Sp,lineNumber:38,columnNumber:9},void 0)]},void 0,!0,{fileName:Sp,lineNumber:32,columnNumber:7},void 0)},void 0,!1,{fileName:Sp,lineNumber:31,columnNumber:5},void 0)};var yx="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/SamplerOptions.tsx";const nhe=$r(e=>e.sd,e=>({steps:e.steps,cfgScale:e.cfgScale,sampler:e.sampler}),{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),rhe=()=>{const e=ui(),{steps:t,cfgScale:r,sampler:i}=mr(nhe);return k(On,{gap:2,direction:"column",children:[k(Uf,{label:"Steps",min:1,step:1,precision:0,onChange:h=>e(Kce(Number(h))),value:t},void 0,!1,{fileName:yx,lineNumber:50,columnNumber:7},void 0),k(Uf,{label:"CFG scale",step:.5,onChange:h=>e(Xce(Number(h))),value:r},void 0,!1,{fileName:yx,lineNumber:58,columnNumber:7},void 0),k(Nw,{label:"Sampler",value:i,onChange:h=>e(Jce(h.target.value)),validValues:Sfe},void 0,!1,{fileName:yx,lineNumber:64,columnNumber:7},void 0)]},void 0,!0,{fileName:yx,lineNumber:49,columnNumber:5},void 0)};var RA="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/ESRGANOptions.tsx";const ahe=$r(e=>e.sd,e=>({upscalingLevel:e.upscalingLevel,upscalingStrength:e.upscalingStrength}),{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),ihe=$r(e=>e.system,e=>({isESRGANAvailable:e.isESRGANAvailable}),{memoizeOptions:{resultEqualityCheck:Zr.exports.isEqual}}),ohe=()=>{const e=ui(),{upscalingLevel:t,upscalingStrength:r}=mr(ahe),{isESRGANAvailable:i}=mr(ihe);return k(On,{direction:"column",gap:2,children:[k(Nw,{isDisabled:!i,label:"Scale",value:t,onChange:u=>e(rfe(Number(u.target.value))),validValues:Cfe},void 0,!1,{fileName:RA,lineNumber:67,columnNumber:7},void 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-                    "progressBar progressBar progressBar progressBar"
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diff --git a/frontend/dist/assets/index.de730902.js b/frontend/dist/assets/index.de730902.js
new file mode 100644
index 0000000000..65e9056ec2
--- /dev/null
+++ b/frontend/dist/assets/index.de730902.js
@@ -0,0 +1,694 @@
+function qV(e,t){for(var r=0;r<t.length;r++){const i=t[r];if(typeof i!="string"&&!Array.isArray(i)){for(const o in i)if(o!=="default"&&!(o in e)){const c=Object.getOwnPropertyDescriptor(i,o);c&&Object.defineProperty(e,o,c.get?c:{enumerable:!0,get:()=>i[o]})}}}return Object.freeze(Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}))}(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const o of document.querySelectorAll('link[rel="modulepreload"]'))i(o);new MutationObserver(o=>{for(const c of o)if(c.type==="childList")for(const u of c.addedNodes)u.tagName==="LINK"&&u.rel==="modulepreload"&&i(u)}).observe(document,{childList:!0,subtree:!0});function r(o){const c={};return o.integrity&&(c.integrity=o.integrity),o.referrerpolicy&&(c.referrerPolicy=o.referrerpolicy),o.crossorigin==="use-credentials"?c.credentials="include":o.crossorigin==="anonymous"?c.credentials="omit":c.credentials="same-origin",c}function i(o){if(o.ep)return;o.ep=!0;const c=r(o);fetch(o.href,c)}})();var cc=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function KV(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var D={exports:{}},kA={exports:{}};/**
+ * @license React
+ * react.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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w=tn(s,"onBeforeInput");if(w.length>0){var T=new g_("onBeforeInput","beforeinput",null,f,p);n.push({event:T,listeners:w}),T.data=y}}function F_(n,a,s,f,p,y,w){M_(n,a,s,f,p),Fh(n,a,s,f,p)}var z_={color:!0,date:!0,datetime:!0,"datetime-local":!0,email:!0,month:!0,number:!0,password:!0,range:!0,search:!0,tel:!0,text:!0,time:!0,url:!0,week:!0};function aS(n){var a=n&&n.nodeName&&n.nodeName.toLowerCase();return a==="input"?!!z_[n.type]:a==="textarea"}/**
+ * Checks if an event is supported in the current execution environment.
+ *
+ * NOTE: This will not work correctly for non-generic events such as `change`,
+ * `reset`, `load`, `error`, and `select`.
+ *
+ * Borrows from Modernizr.
+ *
+ * @param {string} eventNameSuffix Event name, e.g. "click".
+ * @return {boolean} True if the event is supported.
+ * @internal
+ * @license Modernizr 3.0.0pre (Custom Build) | MIT
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See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move code with side effects to componentDidMount, and set initial state in the constructor.
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+Please update the following components: %s`,w)}if(f.size>0){var T=op(f);u(`Using UNSAFE_componentWillReceiveProps in strict mode is not recommended and may indicate bugs in your code. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move data fetching code or side effects to componentDidUpdate.
+* If you're updating state whenever props change, refactor your code to use memoization techniques or move it to static getDerivedStateFromProps. Learn more at: https://reactjs.org/link/derived-state
+
+Please update the following components: %s`,T)}if(y.size>0){var A=op(y);u(`Using UNSAFE_componentWillUpdate in strict mode is not recommended and may indicate bugs in your code. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move data fetching code or side effects to componentDidUpdate.
+
+Please update the following components: %s`,A)}if(n.size>0){var F=op(n);c(`componentWillMount has been renamed, and is not recommended for use. See https://reactjs.org/link/unsafe-component-lifecycles for details.
+
+* Move code with side effects to componentDidMount, and set initial state in the constructor.
+* Rename componentWillMount to UNSAFE_componentWillMount to suppress this warning in non-strict mode. In React 18.x, only the UNSAFE_ name will work. To rename all deprecated lifecycles to their new names, you can run \`npx react-codemod rename-unsafe-lifecycles\` in your project source folder.
+
+Please update the following components: %s`,F)}if(s.size>0){var H=op(s);c(`componentWillReceiveProps has been renamed, and is not recommended for use. See https://reactjs.org/link/unsafe-component-lifecycles for details.
+
+* Move data fetching code or side effects to componentDidUpdate.
+* If you're updating state whenever props change, refactor your code to use memoization techniques or move it to static getDerivedStateFromProps. Learn more at: https://reactjs.org/link/derived-state
+* Rename componentWillReceiveProps to UNSAFE_componentWillReceiveProps to suppress this warning in non-strict mode. In React 18.x, only the UNSAFE_ name will work. To rename all deprecated lifecycles to their new names, you can run \`npx react-codemod rename-unsafe-lifecycles\` in your project source folder.
+
+Please update the following components: %s`,H)}if(p.size>0){var te=op(p);c(`componentWillUpdate has been renamed, and is not recommended for use. See https://reactjs.org/link/unsafe-component-lifecycles for details.
+
+* Move data fetching code or side effects to componentDidUpdate.
+* Rename componentWillUpdate to UNSAFE_componentWillUpdate to suppress this warning in non-strict mode. In React 18.x, only the UNSAFE_ name will work. To rename all deprecated lifecycles to their new names, you can run \`npx react-codemod rename-unsafe-lifecycles\` in your project source folder.
+
+Please update the following components: %s`,te)}};var VS=new Map,yD=new Set;sl.recordLegacyContextWarning=function(n,a){var s=xj(n);if(s===null){u("Expected to find a StrictMode component in a strict mode tree. This error is likely caused by a bug in React. Please file an issue.");return}if(!yD.has(n.type)){var f=VS.get(s);(n.type.contextTypes!=null||n.type.childContextTypes!=null||a!==null&&typeof a.getChildContext=="function")&&(f===void 0&&(f=[],VS.set(s,f)),f.push(n))}},sl.flushLegacyContextWarning=function(){VS.forEach(function(n,a){if(n.length!==0){var s=n[0],f=new Set;n.forEach(function(y){f.add(It(y)||"Component"),yD.add(y.type)});var p=op(f);try{er(s),u(`Legacy context API has been detected within a strict-mode tree.
+
+The old API will be supported in all 16.x releases, but applications using it should migrate to the new version.
+
+Please update the following components: %s
+
+Learn more about this warning here: https://reactjs.org/link/legacy-context`,p)}finally{Cr()}}})},sl.discardPendingWarnings=function(){Bg=[],Ug=[],jg=[],$g=[],Vg=[],Hg=[],VS=new Map}}function ll(n,a){if(n&&n.defaultProps){var s=Zt({},a),f=n.defaultProps;for(var p in f)s[p]===void 0&&(s[p]=f[p]);return s}return a}var kT=Ba(null),DT;DT={};var HS=null,rm=null,PT=null,WS=!1;function GS(){HS=null,rm=null,PT=null,WS=!1}function bD(){WS=!0}function SD(){WS=!1}function xD(n,a,s){Ei(kT,a._currentValue,n),a._currentValue=s,a._currentRenderer!==void 0&&a._currentRenderer!==null&&a._currentRenderer!==DT&&u("Detected multiple renderers concurrently rendering the same context provider. This is currently unsupported."),a._currentRenderer=DT}function MT(n,a){var s=kT.current;ba(kT,a),n._currentValue=s}function IT(n,a,s){for(var f=n;f!==null;){var p=f.alternate;if(Fu(f.childLanes,a)?p!==null&&!Fu(p.childLanes,a)&&(p.childLanes=un(p.childLanes,a)):(f.childLanes=un(f.childLanes,a),p!==null&&(p.childLanes=un(p.childLanes,a))),f===s)break;f=f.return}f!==s&&u("Expected to find the propagation root when scheduling context work. This error is likely caused by a bug in React. 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+%s uses %s but also contains the following legacy lifecycles:%s%s%s
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+`+A+`(() => {
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+    // ...
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+You might need to use a local HTTP server (instead of file://): https://reactjs.org/link/react-devtools-faq`:""),"font-weight:bold")}Ho.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED=BR,Ho.createPortal=UV,Ho.createRoot=$V,Ho.findDOMNode=IV,Ho.flushSync=HV,Ho.hydrate=LV,Ho.hydrateRoot=VV,Ho.render=FV,Ho.unmountComponentAtNode=BV,Ho.unstable_batchedUpdates=mR,Ho.unstable_renderSubtreeIntoContainer=jV,Ho.version=DR,typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop(new Error)})();(function(e){e.exports=Ho})(_b);var UR=_b.exports;{var G1=UR.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED;DA.createRoot=function(e,t){G1.usingClientEntryPoint=!0;try{return UR.createRoot(e,t)}finally{G1.usingClientEntryPoint=!1}},DA.hydrateRoot=function(e,t,r){G1.usingClientEntryPoint=!0;try{return UR.hydrateRoot(e,t,r)}finally{G1.usingClientEntryPoint=!1}}}var hc=Boolean(globalThis?.document)?D.exports.useLayoutEffect:D.exports.useEffect,fk={exports:{}},PA={};/**
+ * @license React
+ * react-jsx-dev-runtime.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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0),t===this.lead){const r=this.members[this.members.length-1];r&&this.promote(r)}}relegate(t){const r=this.members.findIndex(o=>t===o);if(r===0)return!1;let i;for(let o=r;o>=0;o--){const c=this.members[o];if(c.isPresent!==!1){i=c;break}}return i?(this.promote(i),!0):!1}promote(t,r){var i;const o=this.lead;if(t!==o&&(this.prevLead=o,this.lead=t,t.show(),o)){o.instance&&o.scheduleRender(),t.scheduleRender(),t.resumeFrom=o,r&&(t.resumeFrom.preserveOpacity=!0),o.snapshot&&(t.snapshot=o.snapshot,t.snapshot.latestValues=o.animationValues||o.latestValues,t.snapshot.isShared=!0),!((i=t.root)===null||i===void 0)&&i.isUpdating&&(t.isLayoutDirty=!0);const{crossfade:c}=t.options;c===!1&&o.hide()}}exitAnimationComplete(){this.members.forEach(t=>{var r,i,o,c,u;(i=(r=t.options).onExitComplete)===null||i===void 0||i.call(r),(u=(o=t.resumingFrom)===null||o===void 0?void 0:(c=o.options).onExitComplete)===null||u===void 0||u.call(c)})}scheduleRender(){this.members.forEach(t=>{t.instance&&t.scheduleRender(!1)})}removeLeadSnapshot(){this.lead&&this.lead.snapshot&&(this.lead.snapshot=void 0)}}const AK="translate3d(0px, 0px, 0) scale(1, 1) scale(1, 1)";function jL(e,t,r){const i=e.x.translate/t.x,o=e.y.translate/t.y;let c=`translate3d(${i}px, ${o}px, 0) `;if(c+=`scale(${1/t.x}, ${1/t.y}) `,r){const{rotate:m,rotateX:v,rotateY:S}=r;m&&(c+=`rotate(${m}deg) `),v&&(c+=`rotateX(${v}deg) `),S&&(c+=`rotateY(${S}deg) `)}const u=e.x.scale*t.x,h=e.y.scale*t.y;return c+=`scale(${u}, ${h})`,c===AK?"none":c}const OK=(e,t)=>e.depth-t.depth;class kK{constructor(){this.children=[],this.isDirty=!1}add(t){qk(this.children,t),this.isDirty=!0}remove(t){Kk(this.children,t),this.isDirty=!0}forEach(t){this.isDirty&&this.children.sort(OK),this.isDirty=!1,this.children.forEach(t)}}const $L=["","X","Y","Z"],VL=1e3;function bz({attachResizeListener:e,defaultParent:t,measureScroll:r,checkIsScrollRoot:i,resetTransform:o}){return class{constructor(u,h={},m=t?.()){this.children=new Set,this.options={},this.isTreeAnimating=!1,this.isAnimationBlocked=!1,this.isLayoutDirty=!1,this.updateManuallyBlocked=!1,this.updateBlockedByResize=!1,this.isUpdating=!1,this.isSVG=!1,this.needsReset=!1,this.shouldResetTransform=!1,this.treeScale={x:1,y:1},this.eventHandlers=new Map,this.potentialNodes=new Map,this.checkUpdateFailed=()=>{this.isUpdating&&(this.isUpdating=!1,this.clearAllSnapshots())},this.updateProjection=()=>{this.nodes.forEach(FK),this.nodes.forEach(zK)},this.hasProjected=!1,this.isVisible=!0,this.animationProgress=0,this.sharedNodes=new Map,this.id=u,this.latestValues=h,this.root=m?m.root||m:this,this.path=m?[...m.path,m]:[],this.parent=m,this.depth=m?m.depth+1:0,u&&this.root.registerPotentialNode(u,this);for(let v=0;v<this.path.length;v++)this.path[v].shouldResetTransform=!0;this.root===this&&(this.nodes=new kK)}addEventListener(u,h){return this.eventHandlers.has(u)||this.eventHandlers.set(u,new $y),this.eventHandlers.get(u).add(h)}notifyListeners(u,...h){const m=this.eventHandlers.get(u);m?.notify(...h)}hasListeners(u){return this.eventHandlers.has(u)}registerPotentialNode(u,h){this.potentialNodes.set(u,h)}mount(u,h=!1){var m;if(this.instance)return;this.isSVG=u instanceof SVGElement&&u.tagName!=="svg",this.instance=u;const{layoutId:v,layout:S,visualElement:x}=this.options;if(x&&!x.getInstance()&&x.mount(u),this.root.nodes.add(this),(m=this.parent)===null||m===void 0||m.children.add(this),this.id&&this.root.potentialNodes.delete(this.id),h&&(S||v)&&(this.isLayoutDirty=!0),e){let C;const _=()=>this.root.updateBlockedByResize=!1;e(u,()=>{this.root.updateBlockedByResize=!0,clearTimeout(C),C=window.setTimeout(_,250),By.hasAnimatedSinceResize&&(By.hasAnimatedSinceResize=!1,this.nodes.forEach(LK))})}v&&this.root.registerSharedNode(v,this),this.options.animate!==!1&&x&&(v||S)&&this.addEventListener("didUpdate",({delta:C,hasLayoutChanged:_,hasRelativeTargetChanged:N,layout:O})=>{var I,V,M,z,B;if(this.isTreeAnimationBlocked()){this.target=void 0,this.relativeTarget=void 0;return}const j=(V=(I=this.options.transition)!==null&&I!==void 0?I:x.getDefaultTransition())!==null&&V!==void 0?V:VK,{onLayoutAnimationStart:K,onLayoutAnimationComplete:X}=x.getProps(),fe=!this.targetLayout||!yz(this.targetLayout,O)||N,me=!_&&N;if(((M=this.resumeFrom)===null||M===void 0?void 0:M.instance)||me||_&&(fe||!this.currentAnimation)){this.resumeFrom&&(this.resumingFrom=this.resumeFrom,this.resumingFrom.resumingFrom=void 0),this.setAnimationOrigin(C,me);const se={...Gk(j,"layout"),onPlay:K,onComplete:X};x.shouldReduceMotion&&(se.delay=0,se.type=!1),this.startAnimation(se)}else!_&&this.animationProgress===0&&this.finishAnimation(),this.isLead()&&((B=(z=this.options).onExitComplete)===null||B===void 0||B.call(z));this.targetLayout=O})}unmount(){var u,h;this.options.layoutId&&this.willUpdate(),this.root.nodes.remove(this),(u=this.getStack())===null||u===void 0||u.remove(this),(h=this.parent)===null||h===void 0||h.children.delete(this),this.instance=void 0,fb.preRender(this.updateProjection)}blockUpdate(){this.updateManuallyBlocked=!0}unblockUpdate(){this.updateManuallyBlocked=!1}isUpdateBlocked(){return this.updateManuallyBlocked||this.updateBlockedByResize}isTreeAnimationBlocked(){var u;return this.isAnimationBlocked||((u=this.parent)===null||u===void 0?void 0:u.isTreeAnimationBlocked())||!1}startUpdate(){var u;this.isUpdateBlocked()||(this.isUpdating=!0,(u=this.nodes)===null||u===void 0||u.forEach(BK))}willUpdate(u=!0){var h,m,v;if(this.root.isUpdateBlocked()){(m=(h=this.options).onExitComplete)===null||m===void 0||m.call(h);return}if(!this.root.isUpdating&&this.root.startUpdate(),this.isLayoutDirty)return;this.isLayoutDirty=!0;for(let _=0;_<this.path.length;_++){const N=this.path[_];N.shouldResetTransform=!0,N.updateScroll()}const{layoutId:S,layout:x}=this.options;if(S===void 0&&!x)return;const C=(v=this.options.visualElement)===null||v===void 0?void 0:v.getProps().transformTemplate;this.prevTransformTemplateValue=C?.(this.latestValues,""),this.updateSnapshot(),u&&this.notifyListeners("willUpdate")}didUpdate(){if(this.isUpdateBlocked()){this.unblockUpdate(),this.clearAllSnapshots(),this.nodes.forEach(HL);return}!this.isUpdating||(this.isUpdating=!1,this.potentialNodes.size&&(this.potentialNodes.forEach(HK),this.potentialNodes.clear()),this.nodes.forEach(IK),this.nodes.forEach(DK),this.nodes.forEach(PK),this.clearAllSnapshots(),KR.update(),KR.preRender(),KR.render())}clearAllSnapshots(){this.nodes.forEach(MK),this.sharedNodes.forEach(UK)}scheduleUpdateProjection(){fu.preRender(this.updateProjection,!1,!0)}scheduleCheckAfterUnmount(){fu.postRender(()=>{this.isLayoutDirty?this.root.didUpdate():this.root.checkUpdateFailed()})}updateSnapshot(){if(this.snapshot||!this.instance)return;const u=this.measure(),h=this.removeTransform(this.removeElementScroll(u));qL(h),this.snapshot={measured:u,layout:h,latestValues:{}}}updateLayout(){var u;if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let v=0;v<this.path.length;v++)this.path[v].updateScroll();const h=this.measure();qL(h);const m=this.layout;this.layout={measured:h,actual:this.removeElementScroll(h)},this.layoutCorrected=si(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.actual),(u=this.options.visualElement)===null||u===void 0||u.notifyLayoutMeasure(this.layout.actual,m?.actual)}updateScroll(){this.options.layoutScroll&&this.instance&&(this.isScrollRoot=i(this.instance),this.scroll=r(this.instance))}resetTransform(){var u;if(!o)return;const h=this.isLayoutDirty||this.shouldResetTransform,m=this.projectionDelta&&!gz(this.projectionDelta),v=(u=this.options.visualElement)===null||u===void 0?void 0:u.getProps().transformTemplate,S=v?.(this.latestValues,""),x=S!==this.prevTransformTemplateValue;h&&(m||Tf(this.latestValues)||x)&&(o(this.instance,S),this.shouldResetTransform=!1,this.scheduleRender())}measure(){const{visualElement:u}=this.options;if(!u)return si();const h=u.measureViewportBox(),{scroll:m}=this.root;return m&&(Af(h.x,m.x),Af(h.y,m.y)),h}removeElementScroll(u){const h=si();gl(h,u);for(let m=0;m<this.path.length;m++){const v=this.path[m],{scroll:S,options:x,isScrollRoot:C}=v;if(v!==this.root&&S&&x.layoutScroll){if(C){gl(h,u);const{scroll:_}=this.root;_&&(Af(h.x,-_.x),Af(h.y,-_.y))}Af(h.x,S.x),Af(h.y,S.y)}}return h}applyTransform(u,h=!1){const m=si();gl(m,u);for(let v=0;v<this.path.length;v++){const S=this.path[v];!h&&S.options.layoutScroll&&S.scroll&&S!==S.root&&Im(m,{x:-S.scroll.x,y:-S.scroll.y}),Tf(S.latestValues)&&Im(m,S.latestValues)}return Tf(this.latestValues)&&Im(m,this.latestValues),m}removeTransform(u){var h;const m=si();gl(m,u);for(let v=0;v<this.path.length;v++){const S=this.path[v];if(!S.instance||!Tf(S.latestValues))continue;az(S.latestValues)&&S.updateSnapshot();const x=si(),C=S.measure();gl(x,C),zL(m,S.latestValues,(h=S.snapshot)===null||h===void 0?void 0:h.layout,x)}return Tf(this.latestValues)&&zL(m,this.latestValues),m}setTargetDelta(u){this.targetDelta=u,this.root.scheduleUpdateProjection()}setOptions(u){this.options={...this.options,...u,crossfade:u.crossfade!==void 0?u.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}resolveTargetDelta(){var u;const{layout:h,layoutId:m}=this.options;!this.layout||!(h||m)||(!this.targetDelta&&!this.relativeTarget&&(this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&this.relativeParent.layout&&(this.relativeTarget=si(),this.relativeTargetOrigin=si(),Hy(this.relativeTargetOrigin,this.layout.actual,this.relativeParent.layout.actual),gl(this.relativeTarget,this.relativeTargetOrigin))),!(!this.relativeTarget&&!this.targetDelta)&&(this.target||(this.target=si(),this.targetWithTransforms=si()),this.relativeTarget&&this.relativeTargetOrigin&&((u=this.relativeParent)===null||u===void 0?void 0:u.target)?Nq(this.target,this.relativeTarget,this.relativeParent.target):this.targetDelta?(Boolean(this.resumingFrom)?this.target=this.applyTransform(this.layout.actual):gl(this.target,this.layout.actual),iz(this.target,this.targetDelta)):gl(this.target,this.layout.actual),this.attemptToResolveRelativeTarget&&(this.attemptToResolveRelativeTarget=!1,this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&Boolean(this.relativeParent.resumingFrom)===Boolean(this.resumingFrom)&&!this.relativeParent.options.layoutScroll&&this.relativeParent.target&&(this.relativeTarget=si(),this.relativeTargetOrigin=si(),Hy(this.relativeTargetOrigin,this.target,this.relativeParent.target),gl(this.relativeTarget,this.relativeTargetOrigin)))))}getClosestProjectingParent(){if(!(!this.parent||Tf(this.parent.latestValues)))return(this.parent.relativeTarget||this.parent.targetDelta)&&this.parent.layout?this.parent:this.parent.getClosestProjectingParent()}calcProjection(){var u;const{layout:h,layoutId:m}=this.options;if(this.isTreeAnimating=Boolean(((u=this.parent)===null||u===void 0?void 0:u.isTreeAnimating)||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(h||m))return;const v=this.getLead();gl(this.layoutCorrected,this.layout.actual),Lq(this.layoutCorrected,this.treeScale,this.path,Boolean(this.resumingFrom)||this!==v);const{target:S}=v;if(!S)return;this.projectionDelta||(this.projectionDelta=Wy(),this.projectionDeltaWithTransform=Wy());const x=this.treeScale.x,C=this.treeScale.y,_=this.projectionTransform;Vy(this.projectionDelta,this.layoutCorrected,S,this.latestValues),this.projectionTransform=jL(this.projectionDelta,this.treeScale),(this.projectionTransform!==_||this.treeScale.x!==x||this.treeScale.y!==C)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",S))}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(u=!0){var h,m,v;(m=(h=this.options).scheduleRender)===null||m===void 0||m.call(h),u&&((v=this.getStack())===null||v===void 0||v.scheduleRender()),this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(u,h=!1){var m;const v=this.snapshot,S=v?.latestValues||{},x={...this.latestValues},C=Wy();this.relativeTarget=this.relativeTargetOrigin=void 0,this.attemptToResolveRelativeTarget=!h;const _=si(),N=v?.isShared,O=(((m=this.getStack())===null||m===void 0?void 0:m.members.length)||0)<=1,I=Boolean(N&&!O&&this.options.crossfade===!0&&!this.path.some($K));this.animationProgress=0,this.mixTargetDelta=V=>{var M;const z=V/1e3;WL(C.x,u.x,z),WL(C.y,u.y,z),this.setTargetDelta(C),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&((M=this.relativeParent)===null||M===void 0?void 0:M.layout)&&(Hy(_,this.layout.actual,this.relativeParent.layout.actual),jK(this.relativeTarget,this.relativeTargetOrigin,_,z)),N&&(this.animationValues=x,xK(x,S,this.latestValues,z,I,O)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=z},this.mixTargetDelta(0)}startAnimation(u){var h,m;this.notifyListeners("animationStart"),(h=this.currentAnimation)===null||h===void 0||h.stop(),this.resumingFrom&&((m=this.resumingFrom.currentAnimation)===null||m===void 0||m.stop()),this.pendingAnimation&&(fb.update(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=fu.update(()=>{By.hasAnimatedSinceResize=!0,this.currentAnimation=bK(0,VL,{...u,onUpdate:v=>{var S;this.mixTargetDelta(v),(S=u.onUpdate)===null||S===void 0||S.call(u,v)},onComplete:()=>{var v;(v=u.onComplete)===null||v===void 0||v.call(u),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){var u;this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0),(u=this.getStack())===null||u===void 0||u.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){var u;this.currentAnimation&&((u=this.mixTargetDelta)===null||u===void 0||u.call(this,VL),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const u=this.getLead();let{targetWithTransforms:h,target:m,layout:v,latestValues:S}=u;if(!(!h||!m||!v)){if(this!==u&&this.layout&&v&&Sz(this.options.animationType,this.layout.actual,v.actual)){m=this.target||si();const x=qo(this.layout.actual.x);m.x.min=u.target.x.min,m.x.max=m.x.min+x;const C=qo(this.layout.actual.y);m.y.min=u.target.y.min,m.y.max=m.y.min+C}gl(h,m),Im(h,S),Vy(this.projectionDeltaWithTransform,this.layoutCorrected,h,S)}}registerSharedNode(u,h){var m,v,S;this.sharedNodes.has(u)||this.sharedNodes.set(u,new RK),this.sharedNodes.get(u).add(h),h.promote({transition:(m=h.options.initialPromotionConfig)===null||m===void 0?void 0:m.transition,preserveFollowOpacity:(S=(v=h.options.initialPromotionConfig)===null||v===void 0?void 0:v.shouldPreserveFollowOpacity)===null||S===void 0?void 0:S.call(v,h)})}isLead(){const u=this.getStack();return u?u.lead===this:!0}getLead(){var u;const{layoutId:h}=this.options;return h?((u=this.getStack())===null||u===void 0?void 0:u.lead)||this:this}getPrevLead(){var u;const{layoutId:h}=this.options;return h?(u=this.getStack())===null||u===void 0?void 0:u.prevLead:void 0}getStack(){const{layoutId:u}=this.options;if(u)return this.root.sharedNodes.get(u)}promote({needsReset:u,transition:h,preserveFollowOpacity:m}={}){const v=this.getStack();v&&v.promote(this,m),u&&(this.projectionDelta=void 0,this.needsReset=!0),h&&this.setOptions({transition:h})}relegate(){const u=this.getStack();return u?u.relegate(this):!1}resetRotation(){const{visualElement:u}=this.options;if(!u)return;let h=!1;const m={};for(let v=0;v<$L.length;v++){const S=$L[v],x="rotate"+S;!u.getStaticValue(x)||(h=!0,m[x]=u.getStaticValue(x),u.setStaticValue(x,0))}if(!!h){u?.syncRender();for(const v in m)u.setStaticValue(v,m[v]);u.scheduleRender()}}getProjectionStyles(u={}){var h,m,v;const S={};if(!this.instance||this.isSVG)return S;if(this.isVisible)S.visibility="";else return{visibility:"hidden"};const x=(h=this.options.visualElement)===null||h===void 0?void 0:h.getProps().transformTemplate;if(this.needsReset)return this.needsReset=!1,S.opacity="",S.pointerEvents=Ax(u.pointerEvents)||"",S.transform=x?x(this.latestValues,""):"none",S;const C=this.getLead();if(!this.projectionDelta||!this.layout||!C.target){const I={};return this.options.layoutId&&(I.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,I.pointerEvents=Ax(u.pointerEvents)||""),this.hasProjected&&!Tf(this.latestValues)&&(I.transform=x?x({},""):"none",this.hasProjected=!1),I}const _=C.animationValues||C.latestValues;this.applyTransformsToTarget(),S.transform=jL(this.projectionDeltaWithTransform,this.treeScale,_),x&&(S.transform=x(_,S.transform));const{x:N,y:O}=this.projectionDelta;S.transformOrigin=`${N.origin*100}% ${O.origin*100}% 0`,C.animationValues?S.opacity=C===this?(v=(m=_.opacity)!==null&&m!==void 0?m:this.latestValues.opacity)!==null&&v!==void 0?v:1:this.preserveOpacity?this.latestValues.opacity:_.opacityExit:S.opacity=C===this?_.opacity!==void 0?_.opacity:"":_.opacityExit!==void 0?_.opacityExit:0;for(const I in Qx){if(_[I]===void 0)continue;const{correct:V,applyTo:M}=Qx[I],z=V(_[I],C);if(M){const B=M.length;for(let j=0;j<B;j++)S[M[j]]=z}else S[I]=z}return this.options.layoutId&&(S.pointerEvents=C===this?Ax(u.pointerEvents)||"":"none"),S}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(u=>{var h;return(h=u.currentAnimation)===null||h===void 0?void 0:h.stop()}),this.root.nodes.forEach(HL),this.root.sharedNodes.clear()}}}function DK(e){e.updateLayout()}function PK(e){var t,r,i;const o=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&o&&e.hasListeners("didUpdate")){const{actual:c,measured:u}=e.layout,{animationType:h}=e.options;h==="size"?tu(C=>{const _=o.isShared?o.measured[C]:o.layout[C],N=qo(_);_.min=c[C].min,_.max=_.min+N}):Sz(h,o.layout,c)&&tu(C=>{const _=o.isShared?o.measured[C]:o.layout[C],N=qo(c[C]);_.max=_.min+N});const m=Wy();Vy(m,c,o.layout);const v=Wy();o.isShared?Vy(v,e.applyTransform(u,!0),o.measured):Vy(v,c,o.layout);const S=!gz(m);let 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cX={initial:({offsetX:e,offsetY:t,transition:r,transitionEnd:i,delay:o})=>({opacity:0,x:e,y:t,transition:r?.exit??Cl.exit(Lp.exit,o),transitionEnd:i?.exit}),enter:({transition:e,transitionEnd:t,delay:r})=>({opacity:1,x:0,y:0,transition:e?.enter??Cl.enter(Lp.enter,r),transitionEnd:t?.enter}),exit:({offsetY:e,offsetX:t,transition:r,transitionEnd:i,reverse:o,delay:c})=>{const u={x:t,y:e};return{opacity:0,transition:r?.exit??Cl.exit(Lp.exit,c),...o?{...u,transitionEnd:i?.exit}:{transitionEnd:{...u,...i?.exit}}}}},dO={initial:"initial",animate:"enter",exit:"exit",variants:cX},fX=D.exports.forwardRef(function(t,r){const{unmountOnExit:i,in:o,reverse:c=!0,className:u,offsetX:h=0,offsetY:m=8,transition:v,transitionEnd:S,delay:x,...C}=t,_=i?o&&i:!0,N=o||i?"enter":"exit",O={offsetX:h,offsetY:m,reverse:c,transition:v,transitionEnd:S,delay:x};return k(bc,{custom:O,children:_&&Ue.createElement(Nl.div,{ref:r,className:Ib("chakra-offset-slide",u),custom:O,...dO,animate:N,...C})},void 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+ * @license React
+ * react.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ *//**
+ * @license React
+ * react.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
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+
+  @supports (height: -moz-fill-available) {
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+        text-rendering: optimizeLegibility;
+        -moz-osx-font-smoothing: grayscale;
+        touch-action: manipulation;
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+      body {
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+      *,
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+        border-width: 0;
+        border-style: solid;
+        box-sizing: border-box;
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+      hr {
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+      sub {
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+      sup {
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+      img {
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+      button,
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+      button,
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+      button::-moz-focus-inner,
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+      [type="reset"]::-moz-focus-inner,
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+      fieldset {
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+      legend {
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+        color: inherit;
+        display: table;
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+        padding: 0;
+        white-space: normal;
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+      progress {
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+      textarea {
+        overflow: auto;
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+      [type="checkbox"],
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+        box-sizing: border-box;
+        padding: 0;
+      }
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+      [type="number"]::-webkit-inner-spin-button,
+      [type="number"]::-webkit-outer-spin-button {
+        -webkit-appearance: none !important;
+      }
+
+      input[type="number"] {
+        -moz-appearance: textfield;
+      }
+
+      [type="search"] {
+        -webkit-appearance: textfield;
+        outline-offset: -2px;
+      }
+
+      [type="search"]::-webkit-search-decoration {
+        -webkit-appearance: none !important;
+      }
+
+      ::-webkit-file-upload-button {
+        -webkit-appearance: button;
+        font: inherit;
+      }
+
+      details {
+        display: block;
+      }
+
+      summary {
+        display: list-item;
+      }
+
+      template {
+        display: none;
+      }
+
+      [hidden] {
+        display: none !important;
+      }
+
+      body,
+      blockquote,
+      dl,
+      dd,
+      h1,
+      h2,
+      h3,
+      h4,
+      h5,
+      h6,
+      hr,
+      figure,
+      p,
+      pre {
+        margin: 0;
+      }
+
+      button {
+        background: transparent;
+        padding: 0;
+      }
+
+      fieldset {
+        margin: 0;
+        padding: 0;
+      }
+
+      ol,
+      ul {
+        margin: 0;
+        padding: 0;
+      }
+
+      textarea {
+        resize: vertical;
+      }
+
+      button,
+      [role="button"] {
+        cursor: pointer;
+      }
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+      button::-moz-focus-inner {
+        border: 0 !important;
+      }
+
+      table {
+        border-collapse: collapse;
+      }
+
+      h1,
+      h2,
+      h3,
+      h4,
+      h5,
+      h6 {
+        font-size: inherit;
+        font-weight: inherit;
+      }
+
+      button,
+      input,
+      optgroup,
+      select,
+      textarea {
+        padding: 0;
+        line-height: inherit;
+        color: inherit;
+      }
+
+      img,
+      svg,
+      video,
+      canvas,
+      audio,
+      iframe,
+      embed,
+      object {
+        display: block;
+      }
+
+      img,
+      video {
+        max-width: 100%;
+        height: auto;
+      }
+
+      [data-js-focus-visible] :focus:not([data-focus-visible-added]):not([data-focus-visible-disabled]) {
+        outline: none;
+        box-shadow: none;
+      }
+
+      select::-ms-expand {
+        display: none;
+      }
+
+      ${$z}
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Ye.concat(_l(st)===lC?JQ(t,{placement:st,boundary:S,rootBoundary:x,padding:v,flipVariations:N,allowedAutoPlacements:O}):st)},[]),j=t.rects.reference,K=t.rects.popper,X=new Map,fe=!0,me=B[0],se=0;se<B.length;se++){var be=B[se],Ke=_l(be),J=Jm(be)===Xm,ce=[go,Ls].indexOf(Ke)>=0,Re=ce?"width":"height",Ce=mb(t,{placement:be,boundary:S,rootBoundary:x,altBoundary:C,padding:v}),oe=ce?J?Fs:yo:J?Ls:go;j[Re]>K[Re]&&(oe=Dx(oe));var Se=Dx(oe),Te=[];if(c&&Te.push(Ce[Ke]<=0),h&&Te.push(Ce[oe]<=0,Ce[Se]<=0),Te.every(function(Ye){return Ye})){me=be,fe=!1;break}X.set(be,Te)}if(fe)for(var pe=N?3:1,we=function(st){var mt=B.find(function(Gt){var Qe=X.get(Gt);if(Qe)return Qe.slice(0,st).every(function(vt){return vt})});if(mt)return me=mt,"break"},Ie=pe;Ie>0;Ie--){var Le=we(Ie);if(Le==="break")break}t.placement!==me&&(t.modifiersData[i]._skip=!0,t.placement=me,t.reset=!0)}}const nJ={name:"flip",enabled:!0,phase:"main",fn:tJ,requiresIfExists:["offset"],data:{_skip:!1}};function g5(e,t,r){return r===void 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J,ce=B==="y"?go:yo,Re=B==="y"?Ls:Fs,Ce=B==="y"?"height":"width",oe=K[B],Se=oe+I[ce],Te=oe-I[Re],pe=_?-fe[Ce]/2:0,we=M===Xm?X[Ce]:fe[Ce],Ie=M===Xm?-fe[Ce]:-X[Ce],Le=t.elements.arrow,Ye=_&&Le?p2(Le):{width:0,height:0},st=t.modifiersData["arrow#persistent"]?t.modifiersData["arrow#persistent"].padding:uB(),mt=st[ce],Gt=st[Re],Qe=Gy(0,X[Ce],Ye[Ce]),vt=z?X[Ce]/2-pe-Qe-mt-se.mainAxis:we-Qe-mt-se.mainAxis,Et=z?-X[Ce]/2+pe+Qe+Gt+se.mainAxis:Ie+Qe+Gt+se.mainAxis,zt=t.elements.arrow&&zb(t.elements.arrow),We=zt?B==="y"?zt.clientTop||0:zt.clientLeft||0:0,Yt=(J=be?.[B])!=null?J:0,ye=oe+vt-Yt-We,Mt=oe+Et-Yt,Kt=Gy(_?dw(Se,ye):Se,oe,_?zp(Te,Mt):Te);K[B]=Kt,Ke[B]=Kt-oe}if(h){var St,ar=B==="x"?go:yo,ir=B==="x"?Ls:Fs,Bt=K[j],fn=j==="y"?"height":"width",kn=Bt+I[ar],hn=Bt-I[ir],Ve=[go,yo].indexOf(V)!==-1,Ze=(St=be?.[j])!=null?St:0,Jt=Ve?kn:Bt-X[fn]-fe[fn]-Ze+se.altAxis,Tt=Ve?Bt+X[fn]+fe[fn]-Ze-se.altAxis:hn,ke=_&&Ve?IQ(Jt,Bt,Tt):Gy(_?Jt:kn,Bt,_?Tt:hn);K[j]=ke,Ke[j]=ke-Bt}t.modifiersData[i]=Ke}}const dJ={name:"preventOverflow",enabled:!0,phase:"main",fn:fJ,requiresIfExists:["offset"]};function pJ(e){return{scrollLeft:e.scrollLeft,scrollTop:e.scrollTop}}function hJ(e){return e===zs(e)||!Yo(e)?m2(e):pJ(e)}function mJ(e){var t=e.getBoundingClientRect(),r=Zm(t.width)/e.offsetWidth||1,i=Zm(t.height)/e.offsetHeight||1;return r!==1||i!==1}function vJ(e,t,r){r===void 0&&(r=!1);var i=Yo(t),o=Yo(t)&&mJ(t),c=Zf(t),u=Qm(e,o,r),h={scrollLeft:0,scrollTop:0},m={x:0,y:0};return(i||!i&&!r)&&((gu(t)!=="body"||g2(c))&&(h=hJ(t)),Yo(t)?(m=Qm(t,!0),m.x+=t.clientLeft,m.y+=t.clientTop):c&&(m.x=v2(c))),{x:u.left+h.scrollLeft-m.x,y:u.top+h.scrollTop-m.y,width:u.width,height:u.height}}function gJ(e){var t=new Map,r=new Set,i=[];e.forEach(function(c){t.set(c.name,c)});function o(c){r.add(c.name);var u=[].concat(c.requires||[],c.requiresIfExists||[]);u.forEach(function(h){if(!r.has(h)){var m=t.get(h);m&&o(m)}}),i.push(c)}return e.forEach(function(c){r.has(c.name)||o(c)}),i}function yJ(e){var t=gJ(e);return 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M2(e){const{focusBorderColor:t,errorBorderColor:r}=e;return{focusBorderColor:t||ze("blue.500","blue.300")(e),errorBorderColor:r||ze("red.500","red.300")(e)}}var Bie=dc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=M2(e);return{field:{border:"1px solid",borderColor:"inherit",bg:"inherit",_hover:{borderColor:ze("gray.300","whiteAlpha.400")(e)},_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Aa(t,i),boxShadow:`0 0 0 1px ${Aa(t,i)}`},_focusVisible:{zIndex:1,borderColor:Aa(t,r),boxShadow:`0 0 0 1px ${Aa(t,r)}`}},addon:{border:"1px solid",borderColor:ze("inherit","whiteAlpha.50")(e),bg:ze("gray.100","whiteAlpha.300")(e)}}}),Uie=dc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=M2(e);return{field:{border:"2px solid",borderColor:"transparent",bg:ze("gray.100","whiteAlpha.50")(e),_hover:{bg:ze("gray.200","whiteAlpha.100")(e)},_readOnly:{boxShadow:"none 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solid",borderColor:"inherit",borderRadius:"0",px:"0",bg:"transparent"}}}),$ie=dc({field:{bg:"transparent",px:"0",height:"auto"},addon:{bg:"transparent",px:"0",height:"auto"}}),Vie={outline:Bie,filled:Uie,flushed:jie,unstyled:$ie},Jn=Lie({baseStyle:Fie,sizes:zie,variants:Vie,defaultProps:{size:"md",variant:"outline"}}),Hie=e=>({bg:ze("gray.100","whiteAlpha")(e),borderRadius:"md",borderWidth:"1px",borderBottomWidth:"3px",fontSize:"0.8em",fontWeight:"bold",lineHeight:"normal",px:"0.4em",whiteSpace:"nowrap"}),Wie={baseStyle:Hie},Gie={transitionProperty:"common",transitionDuration:"fast",transitionTimingFunction:"ease-out",cursor:"pointer",textDecoration:"none",outline:"none",color:"inherit",_hover:{textDecoration:"underline"},_focusVisible:{boxShadow:"outline"}},Yie={baseStyle:Gie},{defineMultiStyleConfig:qie,definePartsStyle:Kie}=kr(Xne.keys),Xie={marginEnd:"2",display:"inline",verticalAlign:"text-bottom"},Zie=Kie({icon:Xie}),Qie=qie({baseStyle:Zie}),{defineMultiStyleConfig:Jie,definePartsStyle:eoe}=kr(Zne.keys),toe=e=>({bg:ze("#fff","gray.700")(e),boxShadow:ze("sm","dark-lg")(e),color:"inherit",minW:"3xs",py:"2",zIndex:1,borderRadius:"md",borderWidth:"1px"}),noe=e=>({py:"1.5",px:"3",transitionProperty:"background",transitionDuration:"ultra-fast",transitionTimingFunction:"ease-in",_focus:{bg:ze("gray.100","whiteAlpha.100")(e)},_active:{bg:ze("gray.200","whiteAlpha.200")(e)},_expanded:{bg:ze("gray.100","whiteAlpha.100")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),roe={mx:4,my:2,fontWeight:"semibold",fontSize:"sm"},aoe={opacity:.6},ioe={border:0,borderBottom:"1px solid",borderColor:"inherit",my:"2",opacity:.6},ooe={transitionProperty:"common",transitionDuration:"normal"},soe=eoe(e=>({button:ooe,list:Zr(toe,e),item:Zr(noe,e),groupTitle:roe,command:aoe,divider:ioe})),loe=Jie({baseStyle:soe}),{defineMultiStyleConfig:uoe,definePartsStyle:FO}=kr(Qne.keys),coe={bg:"blackAlpha.600",zIndex:"modal"},foe=e=>{const{isCentered:t,scrollBehavior:r}=e;return{display:"flex",zIndex:"modal",justifyContent:"center",alignItems:t?"center":"flex-start",overflow:r==="inside"?"hidden":"auto"}},doe=e=>{const{scrollBehavior:t}=e;return{borderRadius:"md",bg:ze("white","gray.700")(e),color:"inherit",my:"16",zIndex:"modal",maxH:t==="inside"?"calc(100% - 7.5rem)":void 0,boxShadow:ze("lg","dark-lg")(e)}},poe={px:"6",py:"4",fontSize:"xl",fontWeight:"semibold"},hoe={position:"absolute",top:"2",insetEnd:"3"},moe=e=>{const{scrollBehavior:t}=e;return{px:"6",py:"2",flex:"1",overflow:t==="inside"?"auto":void 0}},voe={px:"6",py:"4"},goe=FO(e=>({overlay:coe,dialogContainer:Zr(foe,e),dialog:Zr(doe,e),header:poe,closeButton:hoe,body:Zr(moe,e),footer:voe}));function yl(e){return FO(e==="full"?{dialog:{maxW:"100vw",minH:"$100vh",my:"0",borderRadius:"0"}}:{dialog:{maxW:e}})}var yoe={xs:yl("xs"),sm:yl("sm"),md:yl("md"),lg:yl("lg"),xl:yl("xl"),"2xl":yl("2xl"),"3xl":yl("3xl"),"4xl":yl("4xl"),"5xl":yl("5xl"),"6xl":yl("6xl"),full:yl("full")},boe=uoe({baseStyle:goe,sizes:yoe,defaultProps:{size:"md"}}),Soe={letterSpacings:{tighter:"-0.05em",tight:"-0.025em",normal:"0",wide:"0.025em",wider:"0.05em",widest:"0.1em"},lineHeights:{normal:"normal",none:1,shorter:1.25,short:1.375,base:1.5,tall:1.625,taller:"2",3:".75rem",4:"1rem",5:"1.25rem",6:"1.5rem",7:"1.75rem",8:"2rem",9:"2.25rem",10:"2.5rem"},fontWeights:{hairline:100,thin:200,light:300,normal:400,medium:500,semibold:600,bold:700,extrabold:800,black:900},fonts:{heading:'-apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple 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solid",borderStartColor:ze("inherit","whiteAlpha.300")(e),color:ze("inherit","whiteAlpha.800")(e),_active:{bg:ze("gray.200","whiteAlpha.300")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),Noe=A6(e=>({root:Coe,field:_oe,stepperGroup:Eoe,stepper:Zr(Toe,e)??{}}));function px(e){var t,r;const i=(t=Jn.sizes)==null?void 0:t[e],o={lg:"md",md:"md",sm:"sm",xs:"sm"},c=((r=i.field)==null?void 0:r.fontSize)??"md",u=R6.fontSizes[c];return A6({field:{...i.field,paddingInlineEnd:O6.reference,verticalAlign:"top"},stepper:{fontSize:fc(u).multiply(.75).toString(),_first:{borderTopEndRadius:o[e]},_last:{borderBottomEndRadius:o[e],mt:"-1px",borderTopWidth:1}}})}var Roe={xs:px("xs"),sm:px("sm"),md:px("md"),lg:px("lg")},Aoe=xoe({baseStyle:Noe,sizes:Roe,variants:Jn.variants,defaultProps:Jn.defaultProps}),Z5,Ooe={...(Z5=Jn.baseStyle)==null?void 0:Z5.field,textAlign:"center"},koe={lg:{fontSize:"lg",w:12,h:12,borderRadius:"md"},md:{fontSize:"md",w:10,h:10,borderRadius:"md"},sm:{fontSize:"sm",w:8,h:8,borderRadius:"sm"},xs:{fontSize:"xs",w:6,h:6,borderRadius:"sm"}},Q5,Doe={outline:e=>{var t,r;return((r=Zr((t=Jn.variants)==null?void 0:t.outline,e))==null?void 0:r.field)??{}},flushed:e=>{var t,r;return((r=Zr((t=Jn.variants)==null?void 0:t.flushed,e))==null?void 0:r.field)??{}},filled:e=>{var t,r;return((r=Zr((t=Jn.variants)==null?void 0:t.filled,e))==null?void 0:r.field)??{}},unstyled:((Q5=Jn.variants)==null?void 0:Q5.unstyled.field)??{}},Poe={baseStyle:Ooe,sizes:koe,variants:Doe,defaultProps:Jn.defaultProps},{defineMultiStyleConfig:Moe,definePartsStyle:Ioe}=kr(ere.keys),gA=xo("popper-bg"),Loe=xo("popper-arrow-bg"),Foe=xo("popper-arrow-shadow-color"),zoe={zIndex:10},Boe=e=>{const t=ze("white","gray.700")(e),r=ze("gray.200","whiteAlpha.300")(e);return{[gA.variable]:`colors.${t}`,bg:gA.reference,[Loe.variable]:gA.reference,[Foe.variable]:`colors.${r}`,width:"xs",border:"1px solid",borderColor:"inherit",borderRadius:"md",boxShadow:"sm",zIndex:"inherit",_focusVisible:{outline:0,boxShadow:"outline"}}},Uoe={px:3,py:2,borderBottomWidth:"1px"},joe={px:3,py:2},$oe={px:3,py:2,borderTopWidth:"1px"},Voe={position:"absolute",borderRadius:"md",top:1,insetEnd:2,padding:2},Hoe=Ioe(e=>({popper:zoe,content:Boe(e),header:Uoe,body:joe,footer:$oe,closeButton:Voe})),Woe=Moe({baseStyle:Hoe}),{defineMultiStyleConfig:Goe,definePartsStyle:Iy}=kr(tre.keys),Yoe=e=>{const{colorScheme:t,theme:r,isIndeterminate:i,hasStripe:o}=e,c=ze(G5(),G5("1rem","rgba(0,0,0,0.1)"))(e),u=ze(`${t}.500`,`${t}.200`)(e),h=`linear-gradient(
+    to right,
+    transparent 0%,
+    ${Aa(r,u)} 50%,
+    transparent 100%
+  )`;return{...!i&&o&&c,...i?{bgImage:h}:{bgColor:u}}},qoe={lineHeight:"1",fontSize:"0.25em",fontWeight:"bold",color:"white"},Koe=e=>({bg:ze("gray.100","whiteAlpha.300")(e)}),Xoe=e=>({transitionProperty:"common",transitionDuration:"slow",...Yoe(e)}),Zoe=Iy(e=>({label:qoe,filledTrack:Xoe(e),track:Koe(e)})),Qoe={xs:Iy({track:{h:"1"}}),sm:Iy({track:{h:"2"}}),md:Iy({track:{h:"3"}}),lg:Iy({track:{h:"4"}})},Joe=Goe({sizes:Qoe,baseStyle:Zoe,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:ese,definePartsStyle:Lx}=kr(nre.keys),tse=e=>{var t;const r=(t=Zr(bw.baseStyle,e))==null?void 0:t.control;return{...r,borderRadius:"full",_checked:{...r?._checked,_before:{content:'""',display:"inline-block",pos:"relative",w:"50%",h:"50%",borderRadius:"50%",bg:"currentColor"}}}},nse=Lx(e=>{var t,r,i,o;return{label:(r=(t=bw).baseStyle)==null?void 0:r.call(t,e).label,container:(o=(i=bw).baseStyle)==null?void 0:o.call(i,e).container,control:tse(e)}}),rse={md:Lx({control:{w:"4",h:"4"},label:{fontSize:"md"}}),lg:Lx({control:{w:"5",h:"5"},label:{fontSize:"lg"}}),sm:Lx({control:{width:"3",height:"3"},label:{fontSize:"sm"}})},ase=ese({baseStyle:nse,sizes:rse,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:ise,definePartsStyle:ose}=kr(rre.keys),sse=e=>{var t;return{...(t=Jn.baseStyle)==null?void 0:t.field,bg:ze("white","gray.700")(e),appearance:"none",paddingBottom:"1px",lineHeight:"normal","> option, > optgroup":{bg:ze("white","gray.700")(e)}}},lse={width:"6",height:"100%",insetEnd:"2",position:"relative",color:"currentColor",fontSize:"xl",_disabled:{opacity:.5}},use=ose(e=>({field:sse(e),icon:lse})),hx={paddingInlineEnd:"8"},J5,eF,tF,nF,rF,aF,iF,oF,cse={lg:{...(J5=Jn.sizes)==null?void 0:J5.lg,field:{...(eF=Jn.sizes)==null?void 0:eF.lg.field,...hx}},md:{...(tF=Jn.sizes)==null?void 0:tF.md,field:{...(nF=Jn.sizes)==null?void 0:nF.md.field,...hx}},sm:{...(rF=Jn.sizes)==null?void 0:rF.sm,field:{...(aF=Jn.sizes)==null?void 0:aF.sm.field,...hx}},xs:{...(iF=Jn.sizes)==null?void 0:iF.xs,field:{...(oF=Jn.sizes)==null?void 0:oF.sm.field,...hx},icon:{insetEnd:"1"}}},fse=ise({baseStyle:use,sizes:cse,variants:Jn.variants,defaultProps:Jn.defaultProps}),dse=Xf("skeleton-start-color"),pse=Xf("skeleton-end-color"),hse=e=>{const t=ze("gray.100","gray.800")(e),r=ze("gray.400","gray.600")(e),{startColor:i=t,endColor:o=r,theme:c}=e,u=Aa(c,i),h=Aa(c,o);return{[dse.variable]:u,[pse.variable]:h,opacity:.7,borderRadius:"2px",borderColor:u,background:h}},mse={baseStyle:hse},vse=e=>({borderRadius:"md",fontWeight:"semibold",_focusVisible:{boxShadow:"outline",padding:"4",position:"fixed",top:"6",insetStart:"6",bg:ze("white","gray.700")(e)}}),gse={baseStyle:vse},{defineMultiStyleConfig:yse,definePartsStyle:pC}=kr(are.keys),bb=Xf("slider-thumb-size"),Sb=Xf("slider-track-size"),bse=e=>{const{orientation:t}=e;return{display:"inline-block",position:"relative",cursor:"pointer",_disabled:{opacity:.6,cursor:"default",pointerEvents:"none"},...D2({orientation:t,vertical:{h:"100%"},horizontal:{w:"100%"}})}},Sse=e=>({...D2({orientation:e.orientation,horizontal:{h:Sb.reference},vertical:{w:Sb.reference}}),overflow:"hidden",borderRadius:"sm",bg:ze("gray.200","whiteAlpha.200")(e),_disabled:{bg:ze("gray.300","whiteAlpha.300")(e)}}),xse=e=>{const{orientation:t}=e;return{...D2({orientation:t,vertical:{left:"50%",transform:"translateX(-50%)",_active:{transform:"translateX(-50%) scale(1.15)"}},horizontal:{top:"50%",transform:"translateY(-50%)",_active:{transform:"translateY(-50%) scale(1.15)"}}}),w:bb.reference,h:bb.reference,display:"flex",alignItems:"center",justifyContent:"center",position:"absolute",outline:0,zIndex:1,borderRadius:"full",bg:"white",boxShadow:"base",border:"1px 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+ * use-sync-external-store-shim.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
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+ * LICENSE file in the root directory of this source tree.
+ */(function(){typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart(new Error);var e=D.exports,t=e.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED;function r(z){{for(var B=arguments.length,j=new Array(B>1?B-1:0),K=1;K<B;K++)j[K-1]=arguments[K];i("error",z,j)}}function i(z,B,j){{var K=t.ReactDebugCurrentFrame,X=K.getStackAddendum();X!==""&&(B+="%s",j=j.concat([X]));var fe=j.map(function(me){return String(me)});fe.unshift("Warning: "+B),Function.prototype.apply.call(console[z],console,fe)}}function o(z,B){return z===B&&(z!==0||1/z===1/B)||z!==z&&B!==B}var c=typeof Object.is=="function"?Object.is:o,u=e.useState,h=e.useEffect,m=e.useLayoutEffect,v=e.useDebugValue,S=!1,x=!1;function C(z,B,j){S||e.startTransition!==void 0&&(S=!0,r("You are using an outdated, pre-release alpha of React 18 that does not support useSyncExternalStore. The use-sync-external-store shim will not work correctly. Upgrade to a newer pre-release."));var K=B();if(!x){var X=B();c(K,X)||(r("The result of getSnapshot should be cached to avoid an infinite loop"),x=!0)}var fe=u({inst:{value:K,getSnapshot:B}}),me=fe[0].inst,se=fe[1];return m(function(){me.value=K,me.getSnapshot=B,_(me)&&se({inst:me})},[z,K,B]),h(function(){_(me)&&se({inst:me});var be=function(){_(me)&&se({inst:me})};return z(be)},[z]),v(K),K}function _(z){var B=z.getSnapshot,j=z.value;try{var K=B();return!c(j,K)}catch{return!0}}function N(z,B,j){return B()}var O=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u",I=!O,V=I?N:C,M=e.useSyncExternalStore!==void 0?e.useSyncExternalStore:V;J6.useSyncExternalStore=M,typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop(new Error)})();(function(e){e.exports=J6})(Q6);var eU={exports:{}},tU={};/**
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+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
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+ * LICENSE file in the root directory of this source tree.
+ */(function(){typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart(new Error);var e=D.exports,t=Q6.exports;function r(S,x){return S===x&&(S!==0||1/S===1/x)||S!==S&&x!==x}var i=typeof Object.is=="function"?Object.is:r,o=t.useSyncExternalStore,c=e.useRef,u=e.useEffect,h=e.useMemo,m=e.useDebugValue;function v(S,x,C,_,N){var O=c(null),I;O.current===null?(I={hasValue:!1,value:null},O.current=I):I=O.current;var V=h(function(){var j=!1,K,X,fe=function(Ke){if(!j){j=!0,K=Ke;var J=_(Ke);if(N!==void 0&&I.hasValue){var ce=I.value;if(N(ce,J))return X=ce,ce}return X=J,J}var Re=K,Ce=X;if(i(Re,Ke))return Ce;var oe=_(Ke);return N!==void 0&&N(Ce,oe)?Ce:(K=Ke,X=oe,oe)},me=C===void 0?null:C,se=function(){return fe(x())},be=me===null?void 0:function(){return fe(me())};return[se,be]},[x,C,_,N]),M=V[0],z=V[1],B=o(S,M,z);return u(function(){I.hasValue=!0,I.value=B},[B]),m(B),B}tU.useSyncExternalStoreWithSelector=v,typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop(new Error)})();(function(e){e.exports=tU})(eU);function bce(e){e()}let nU=bce;const Sce=e=>nU=e,xce=()=>nU,yc=Ue.createContext(null);yc.displayName="ReactRedux";function rU(){const e=D.exports.useContext(yc);if(!e)throw new Error("could not find react-redux context value; please ensure the component is wrapped in a <Provider>");return e}const wce=()=>{throw new Error("uSES not initialized!")};let aU=wce;const Cce=e=>{aU=e},_ce=(e,t)=>e===t;function Ece(e=yc){const t=e===yc?rU:()=>D.exports.useContext(e);return function(i,o=_ce){{if(!i)throw new Error("You must pass a selector to useSelector");if(typeof i!="function")throw new Error("You must pass a function as a selector to useSelector");if(typeof o!="function")throw new Error("You must pass a function as an equality function to useSelector")}const{store:c,subscription:u,getServerState:h}=t(),m=aU(u.addNestedSub,c.getState,h||c.getState,i,o);return D.exports.useDebugValue(m),m}}const Tce=Ece();var Nce={exports:{}},sr={};/**
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+ * Copyright Jeremy Ashkenas, DocumentCloud and Investigative Reporters & Editors
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Error{constructor(t,r,i){super(t),this.description=r,this.context=i,this.type="TransportError"}}class EU extends ua{constructor(t){super(),this.writable=!1,hC(this,t),this.opts=t,this.query=t.query,this.readyState="",this.socket=t.socket}onError(t,r,i){return super.emitReserved("error",new ude(t,r,i)),this}open(){return(this.readyState==="closed"||this.readyState==="")&&(this.readyState="opening",this.doOpen()),this}close(){return(this.readyState==="opening"||this.readyState==="open")&&(this.doClose(),this.onClose()),this}send(t){this.readyState==="open"&&this.write(t)}onOpen(){this.readyState="open",this.writable=!0,super.emitReserved("open")}onData(t){const r=SU(t,this.socket.binaryType);this.onPacket(r)}onPacket(t){super.emitReserved("packet",t)}onClose(t){this.readyState="closed",super.emitReserved("close",t)}}const TU="0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz-_".split(""),ZO=64,cde={};let VF=0,vx=0,HF;function WF(e){let t="";do t=TU[e%ZO]+t,e=Math.floor(e/ZO);while(e>0);return t}function NU(){const e=WF(+new Date);return e!==HF?(VF=0,HF=e):e+"."+WF(VF++)}for(;vx<ZO;vx++)cde[TU[vx]]=vx;function RU(e){let t="";for(let r in e)e.hasOwnProperty(r)&&(t.length&&(t+="&"),t+=encodeURIComponent(r)+"="+encodeURIComponent(e[r]));return t}function fde(e){let t={},r=e.split("&");for(let i=0,o=r.length;i<o;i++){let c=r[i].split("=");t[decodeURIComponent(c[0])]=decodeURIComponent(c[1])}return t}let AU=!1;try{AU=typeof XMLHttpRequest<"u"&&"withCredentials"in new XMLHttpRequest}catch{}const dde=AU;function OU(e){const t=e.xdomain;try{if(typeof XMLHttpRequest<"u"&&(!t||dde))return new XMLHttpRequest}catch{}if(!t)try{return new Ff[["Active"].concat("Object").join("X")]("Microsoft.XMLHTTP")}catch{}}function pde(){}const hde=function(){return new OU({xdomain:!1}).responseType!=null}();class mde extends EU{constructor(t){if(super(t),this.polling=!1,typeof location<"u"){const i=location.protocol==="https:";let o=location.port;o||(o=i?"443":"80"),this.xd=typeof location<"u"&&t.hostname!==location.hostname||o!==t.port,this.xs=t.secure!==i}const r=t&&t.forceBase64;this.supportsBinary=hde&&!r}get name(){return"polling"}doOpen(){this.poll()}pause(t){this.readyState="pausing";const r=()=>{this.readyState="paused",t()};if(this.polling||!this.writable){let i=0;this.polling&&(i++,this.once("pollComplete",function(){--i||r()})),this.writable||(i++,this.once("drain",function(){--i||r()}))}else r()}poll(){this.polling=!0,this.doPoll(),this.emitReserved("poll")}onData(t){const r=i=>{if(this.readyState==="opening"&&i.type==="open"&&this.onOpen(),i.type==="close")return this.onClose({description:"transport closed by the server"}),!1;this.onPacket(i)};nde(t,this.socket.binaryType).forEach(r),this.readyState!=="closed"&&(this.polling=!1,this.emitReserved("pollComplete"),this.readyState==="open"&&this.poll())}doClose(){const t=()=>{this.write([{type:"close"}])};this.readyState==="open"?t():this.once("open",t)}write(t){this.writable=!1,tde(t,r=>{this.doWrite(r,()=>{this.writable=!0,this.emitReserved("drain")})})}uri(){let t=this.query||{};const r=this.opts.secure?"https":"http";let i="";this.opts.timestampRequests!==!1&&(t[this.opts.timestampParam]=NU()),!this.supportsBinary&&!t.sid&&(t.b64=1),this.opts.port&&(r==="https"&&Number(this.opts.port)!==443||r==="http"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port);const o=RU(t),c=this.opts.hostname.indexOf(":")!==-1;return r+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(o.length?"?"+o:"")}request(t={}){return Object.assign(t,{xd:this.xd,xs:this.xs},this.opts),new hu(this.uri(),t)}doWrite(t,r){const i=this.request({method:"POST",data:t});i.on("success",r),i.on("error",(o,c)=>{this.onError("xhr post error",o,c)})}doPoll(){const t=this.request();t.on("data",this.onData.bind(this)),t.on("error",(r,i)=>{this.onError("xhr poll error",r,i)}),this.pollXhr=t}}class hu extends ua{constructor(t,r){super(),hC(this,r),this.opts=r,this.method=r.method||"GET",this.uri=t,this.async=r.async!==!1,this.data=r.data!==void 0?r.data:null,this.create()}create(){const t=_U(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");t.xdomain=!!this.opts.xd,t.xscheme=!!this.opts.xs;const r=this.xhr=new OU(t);try{r.open(this.method,this.uri,this.async);try{if(this.opts.extraHeaders){r.setDisableHeaderCheck&&r.setDisableHeaderCheck(!0);for(let i in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=hu.requestsCount++,hu.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=pde,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete hu.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}}hu.requestsCount=0;hu.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",GF);else if(typeof addEventListener=="function"){const e="onpagehide"in Ff?"pagehide":"unload";addEventListener(e,GF,!1)}}function GF(){for(let e in hu.requests)hu.requests.hasOwnProperty(e)&&hu.requests[e].abort()}const vde=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,r)=>r(t,0))(),gx=Ff.WebSocket||Ff.MozWebSocket,YF=!0,gde="arraybuffer",qF=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class yde extends EU{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),r=this.opts.protocols,i=qF?{}:_U(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(i.headers=this.opts.extraHeaders);try{this.ws=YF&&!qF?r?new gx(t,r):new gx(t):new gx(t,r,i)}catch(o){return this.emitReserved("error",o)}this.ws.binaryType=this.socket.binaryType||gde,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let r=0;r<t.length;r++){const i=t[r],o=r===t.length-1;bU(i,this.supportsBinary,c=>{const u={};try{YF&&this.ws.send(c)}catch{}o&&vde(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){let t=this.query||{};const r=this.opts.secure?"wss":"ws";let i="";this.opts.port&&(r==="wss"&&Number(this.opts.port)!==443||r==="ws"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port),this.opts.timestampRequests&&(t[this.opts.timestampParam]=NU()),this.supportsBinary||(t.b64=1);const o=RU(t),c=this.opts.hostname.indexOf(":")!==-1;return r+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(o.length?"?"+o:"")}check(){return!!gx}}const bde={websocket:yde,polling:mde},Sde=/^(?:(?![^:@]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@]*)(?::([^:@]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,xde=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function QO(e){const t=e,r=e.indexOf("["),i=e.indexOf("]");r!=-1&&i!=-1&&(e=e.substring(0,r)+e.substring(r,i).replace(/:/g,";")+e.substring(i,e.length));let o=Sde.exec(e||""),c={},u=14;for(;u--;)c[xde[u]]=o[u]||"";return r!=-1&&i!=-1&&(c.source=t,c.host=c.host.substring(1,c.host.length-1).replace(/;/g,":"),c.authority=c.authority.replace("[","").replace("]","").replace(/;/g,":"),c.ipv6uri=!0),c.pathNames=wde(c,c.path),c.queryKey=Cde(c,c.query),c}function wde(e,t){const r=/\/{2,9}/g,i=t.replace(r,"/").split("/");return(t.substr(0,1)=="/"||t.length===0)&&i.splice(0,1),t.substr(t.length-1,1)=="/"&&i.splice(i.length-1,1),i}function Cde(e,t){const r={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(i,o,c){o&&(r[o]=c)}),r}class Df extends ua{constructor(t,r={}){super(),t&&typeof t=="object"&&(r=t,t=null),t?(t=QO(t),r.hostname=t.host,r.secure=t.protocol==="https"||t.protocol==="wss",r.port=t.port,t.query&&(r.query=t.query)):r.host&&(r.hostname=QO(r.host).host),hC(this,r),this.secure=r.secure!=null?r.secure:typeof location<"u"&&location.protocol==="https:",r.hostname&&!r.port&&(r.port=this.secure?"443":"80"),this.hostname=r.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=r.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=r.transports||["polling","websocket"],this.readyState="",this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!0},r),this.opts.path=this.opts.path.replace(/\/$/,"")+"/",typeof this.opts.query=="string"&&(this.opts.query=fde(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&addEventListener("beforeunload",()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},!1),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const r=Object.assign({},this.opts.query);r.EIO=CU,r.transport=t,this.id&&(r.sid=this.id);const i=Object.assign({},this.opts.transportOptions[t],this.opts,{query:r,socket:this,hostname:this.hostname,secure:this.secure,port:this.port});return new bde[t](i)}open(){let t;if(this.opts.rememberUpgrade&&Df.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",r=>this.onClose("transport close",r))}probe(t){let r=this.createTransport(t),i=!1;Df.priorWebsocketSuccess=!1;const o=()=>{i||(r.send([{type:"ping",data:"probe"}]),r.once("packet",x=>{if(!i)if(x.type==="pong"&&x.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",r),!r)return;Df.priorWebsocketSuccess=r.name==="websocket",this.transport.pause(()=>{i||this.readyState!=="closed"&&(S(),this.setTransport(r),r.send([{type:"upgrade"}]),this.emitReserved("upgrade",r),r=null,this.upgrading=!1,this.flush())})}else{const C=new Error("probe error");C.transport=r.name,this.emitReserved("upgradeError",C)}}))};function c(){i||(i=!0,S(),r.close(),r=null)}const u=x=>{const C=new Error("probe error: "+x);C.transport=r.name,c(),this.emitReserved("upgradeError",C)};function h(){u("transport closed")}function m(){u("socket closed")}function v(x){r&&x.name!==r.name&&c()}const S=()=>{r.removeListener("open",o),r.removeListener("error",u),r.removeListener("close",h),this.off("close",m),this.off("upgrading",v)};r.once("open",o),r.once("error",u),r.once("close",h),this.once("close",m),this.once("upgrading",v),r.open()}onOpen(){if(this.readyState="open",Df.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade&&this.transport.pause){let t=0;const r=this.upgrades.length;for(;t<r;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const r=new Error("server error");r.code=t.data,this.onError(r);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let r=1;for(let i=0;i<this.writeBuffer.length;i++){const o=this.writeBuffer[i].data;if(o&&(r+=sde(o)),i>0&&r>this.maxPayload)return this.writeBuffer.slice(0,i);r+=2}return this.writeBuffer}write(t,r,i){return this.sendPacket("message",t,r,i),this}send(t,r,i){return this.sendPacket("message",t,r,i),this}sendPacket(t,r,i,o){if(typeof r=="function"&&(o=r,r=void 0),typeof i=="function"&&(o=i,i=null),this.readyState==="closing"||this.readyState==="closed")return;i=i||{},i.compress=i.compress!==!1;const c={type:t,data:r,options:i};this.emitReserved("packetCreate",c),this.writeBuffer.push(c),o&&this.once("flush",o),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},r=()=>{this.off("upgrade",r),this.off("upgradeError",r),t()},i=()=>{this.once("upgrade",r),this.once("upgradeError",r)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?i():t()}):this.upgrading?i():t()),this}onError(t){Df.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,r){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&removeEventListener("offline",this.offlineEventListener,!1),this.readyState="closed",this.id=null,this.emitReserved("close",t,r),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const r=[];let i=0;const o=t.length;for(;i<o;i++)~this.transports.indexOf(t[i])&&r.push(t[i]);return r}}Df.protocol=CU;function _de(e,t="",r){let i=e;r=r||typeof location<"u"&&location,e==null&&(e=r.protocol+"//"+r.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=r.protocol+e:e=r.host+e),/^(https?|wss?):\/\//.test(e)||(typeof r<"u"?e=r.protocol+"//"+e:e="https://"+e),i=QO(e)),i.port||(/^(http|ws)$/.test(i.protocol)?i.port="80":/^(http|ws)s$/.test(i.protocol)&&(i.port="443")),i.path=i.path||"/";const c=i.host.indexOf(":")!==-1?"["+i.host+"]":i.host;return i.id=i.protocol+"://"+c+":"+i.port+t,i.href=i.protocol+"://"+c+(r&&r.port===i.port?"":":"+i.port),i}const Ede=typeof ArrayBuffer=="function",Tde=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,kU=Object.prototype.toString,Nde=typeof Blob=="function"||typeof Blob<"u"&&kU.call(Blob)==="[object BlobConstructor]",Rde=typeof File=="function"||typeof File<"u"&&kU.call(File)==="[object FileConstructor]";function Q2(e){return Ede&&(e instanceof ArrayBuffer||Tde(e))||Nde&&e instanceof Blob||Rde&&e instanceof File}function Ux(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let r=0,i=e.length;r<i;r++)if(Ux(e[r]))return!0;return!1}if(Q2(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return Ux(e.toJSON(),!0);for(const r in e)if(Object.prototype.hasOwnProperty.call(e,r)&&Ux(e[r]))return!0;return!1}function Ade(e){const t=[],r=e.data,i=e;return i.data=JO(r,t),i.attachments=t.length,{packet:i,buffers:t}}function JO(e,t){if(!e)return e;if(Q2(e)){const r={_placeholder:!0,num:t.length};return t.push(e),r}else if(Array.isArray(e)){const r=new Array(e.length);for(let i=0;i<e.length;i++)r[i]=JO(e[i],t);return r}else if(typeof e=="object"&&!(e instanceof Date)){const r={};for(const i in e)Object.prototype.hasOwnProperty.call(e,i)&&(r[i]=JO(e[i],t));return r}return e}function Ode(e,t){return e.data=ek(e.data,t),e.attachments=void 0,e}function ek(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let r=0;r<e.length;r++)e[r]=ek(e[r],t);else if(typeof e=="object")for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(e[r]=ek(e[r],t));return e}const kde=5;var Vn;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Vn||(Vn={}));class Dde{constructor(t){this.replacer=t}encode(t){return(t.type===Vn.EVENT||t.type===Vn.ACK)&&Ux(t)?(t.type=t.type===Vn.EVENT?Vn.BINARY_EVENT:Vn.BINARY_ACK,this.encodeAsBinary(t)):[this.encodeAsString(t)]}encodeAsString(t){let r=""+t.type;return(t.type===Vn.BINARY_EVENT||t.type===Vn.BINARY_ACK)&&(r+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(r+=t.nsp+","),t.id!=null&&(r+=t.id),t.data!=null&&(r+=JSON.stringify(t.data,this.replacer)),r}encodeAsBinary(t){const r=Ade(t),i=this.encodeAsString(r.packet),o=r.buffers;return o.unshift(i),o}}class J2 extends ua{constructor(t){super(),this.reviver=t}add(t){let r;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");r=this.decodeString(t),r.type===Vn.BINARY_EVENT||r.type===Vn.BINARY_ACK?(this.reconstructor=new Pde(r),r.attachments===0&&super.emitReserved("decoded",r)):super.emitReserved("decoded",r)}else if(Q2(t)||t.base64)if(this.reconstructor)r=this.reconstructor.takeBinaryData(t),r&&(this.reconstructor=null,super.emitReserved("decoded",r));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let r=0;const i={type:Number(t.charAt(0))};if(Vn[i.type]===void 0)throw new Error("unknown packet type "+i.type);if(i.type===Vn.BINARY_EVENT||i.type===Vn.BINARY_ACK){const c=r+1;for(;t.charAt(++r)!=="-"&&r!=t.length;);const u=t.substring(c,r);if(u!=Number(u)||t.charAt(r)!=="-")throw new Error("Illegal attachments");i.attachments=Number(u)}if(t.charAt(r+1)==="/"){const c=r+1;for(;++r&&!(t.charAt(r)===","||r===t.length););i.nsp=t.substring(c,r)}else i.nsp="/";const o=t.charAt(r+1);if(o!==""&&Number(o)==o){const c=r+1;for(;++r;){const u=t.charAt(r);if(u==null||Number(u)!=u){--r;break}if(r===t.length)break}i.id=Number(t.substring(c,r+1))}if(t.charAt(++r)){const c=this.tryParse(t.substr(r));if(J2.isPayloadValid(i.type,c))i.data=c;else throw new Error("invalid payload")}return i}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,r){switch(t){case Vn.CONNECT:return typeof r=="object";case Vn.DISCONNECT:return r===void 0;case Vn.CONNECT_ERROR:return typeof r=="string"||typeof r=="object";case Vn.EVENT:case Vn.BINARY_EVENT:return Array.isArray(r)&&r.length>0;case Vn.ACK:case Vn.BINARY_ACK:return Array.isArray(r)}}destroy(){this.reconstructor&&this.reconstructor.finishedReconstruction()}}class Pde{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const r=Ode(this.reconPack,this.buffers);return this.finishedReconstruction(),r}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const Mde=Object.freeze(Object.defineProperty({__proto__:null,protocol:kde,get PacketType(){return Vn},Encoder:Dde,Decoder:J2},Symbol.toStringTag,{value:"Module"}));function xl(e,t,r){return e.on(t,r),function(){e.off(t,r)}}const Ide=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class DU extends ua{constructor(t,r,i){super(),this.connected=!1,this.receiveBuffer=[],this.sendBuffer=[],this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=r,i&&i.auth&&(this.auth=i.auth),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[xl(t,"open",this.onopen.bind(this)),xl(t,"packet",this.onpacket.bind(this)),xl(t,"error",this.onerror.bind(this)),xl(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...r){if(Ide.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');r.unshift(t);const i={type:Vn.EVENT,data:r};if(i.options={},i.options.compress=this.flags.compress!==!1,typeof r[r.length-1]=="function"){const u=this.ids++,h=r.pop();this._registerAckCallback(u,h),i.id=u}const o=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!o||!this.connected)||(this.connected?(this.notifyOutgoingListeners(i),this.packet(i)):this.sendBuffer.push(i)),this.flags={},this}_registerAckCallback(t,r){const i=this.flags.timeout;if(i===void 0){this.acks[t]=r;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let c=0;c<this.sendBuffer.length;c++)this.sendBuffer[c].id===t&&this.sendBuffer.splice(c,1);r.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...c)=>{this.io.clearTimeoutFn(o),r.apply(this,[null,...c])}}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this.packet({type:Vn.CONNECT,data:t})}):this.packet({type:Vn.CONNECT,data:this.auth})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,r){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,r)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Vn.CONNECT:if(t.data&&t.data.sid){const o=t.data.sid;this.onconnect(o)}else this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Vn.EVENT:case Vn.BINARY_EVENT:this.onevent(t);break;case Vn.ACK:case Vn.BINARY_ACK:this.onack(t);break;case Vn.DISCONNECT:this.ondisconnect();break;case Vn.CONNECT_ERROR:this.destroy();const i=new Error(t.data.message);i.data=t.data.data,this.emitReserved("connect_error",i);break}}onevent(t){const r=t.data||[];t.id!=null&&r.push(this.ack(t.id)),this.connected?this.emitEvent(r):this.receiveBuffer.push(Object.freeze(r))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const r=this._anyListeners.slice();for(const i of r)i.apply(this,t)}super.emit.apply(this,t)}ack(t){const r=this;let i=!1;return function(...o){i||(i=!0,r.packet({type:Vn.ACK,id:t,data:o}))}}onack(t){const r=this.acks[t.id];typeof r=="function"&&(r.apply(this,t.data),delete this.acks[t.id])}onconnect(t){this.id=t,this.connected=!0,this.emitBuffered(),this.emitReserved("connect")}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Vn.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const r=this._anyListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const r=this._anyOutgoingListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const r=this._anyOutgoingListeners.slice();for(const i of r)i.apply(this,t.data)}}}function uv(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}uv.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),r=Math.floor(t*this.jitter*e);e=(Math.floor(t*10)&1)==0?e-r:e+r}return Math.min(e,this.max)|0};uv.prototype.reset=function(){this.attempts=0};uv.prototype.setMin=function(e){this.ms=e};uv.prototype.setMax=function(e){this.max=e};uv.prototype.setJitter=function(e){this.jitter=e};class tk extends ua{constructor(t,r){var i;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(r=t,t=void 0),r=r||{},r.path=r.path||"/socket.io",this.opts=r,hC(this,r),this.reconnection(r.reconnection!==!1),this.reconnectionAttempts(r.reconnectionAttempts||1/0),this.reconnectionDelay(r.reconnectionDelay||1e3),this.reconnectionDelayMax(r.reconnectionDelayMax||5e3),this.randomizationFactor((i=r.randomizationFactor)!==null&&i!==void 0?i:.5),this.backoff=new uv({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(r.timeout==null?2e4:r.timeout),this._readyState="closed",this.uri=t;const o=r.parser||Mde;this.encoder=new o.Encoder,this.decoder=new o.Decoder,this._autoConnect=r.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var r;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(r=this.backoff)===null||r===void 0||r.setMin(t),this)}randomizationFactor(t){var r;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(r=this.backoff)===null||r===void 0||r.setJitter(t),this)}reconnectionDelayMax(t){var r;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(r=this.backoff)===null||r===void 0||r.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new Df(this.uri,this.opts);const r=this.engine,i=this;this._readyState="opening",this.skipReconnect=!1;const o=xl(r,"open",function(){i.onopen(),t&&t()}),c=xl(r,"error",u=>{i.cleanup(),i._readyState="closed",this.emitReserved("error",u),t?t(u):i.maybeReconnectOnOpen()});if(this._timeout!==!1){const u=this._timeout;u===0&&o();const h=this.setTimeoutFn(()=>{o(),r.close(),r.emit("error",new Error("timeout"))},u);this.opts.autoUnref&&h.unref(),this.subs.push(function(){clearTimeout(h)})}return this.subs.push(o),this.subs.push(c),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(xl(t,"ping",this.onping.bind(this)),xl(t,"data",this.ondata.bind(this)),xl(t,"error",this.onerror.bind(this)),xl(t,"close",this.onclose.bind(this)),xl(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch{this.onclose("parse error")}}ondecoded(t){this.emitReserved("packet",t)}onerror(t){this.emitReserved("error",t)}socket(t,r){let i=this.nsps[t];return i||(i=new DU(this,t,r),this.nsps[t]=i),i}_destroy(t){const r=Object.keys(this.nsps);for(const i of r)if(this.nsps[i].active)return;this._close()}_packet(t){const r=this.encoder.encode(t);for(let i=0;i<r.length;i++)this.engine.write(r[i],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,r){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,r),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const r=this.backoff.duration();this._reconnecting=!0;const i=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(o=>{o?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",o)):t.onreconnect()}))},r);this.opts.autoUnref&&i.unref(),this.subs.push(function(){clearTimeout(i)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const Ay={};function jx(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const r=_de(e,t.path||"/socket.io"),i=r.source,o=r.id,c=r.path,u=Ay[o]&&c in Ay[o].nsps,h=t.forceNew||t["force new connection"]||t.multiplex===!1||u;let m;return h?m=new tk(i,t):(Ay[o]||(Ay[o]=new tk(i,t)),m=Ay[o]),r.query&&!t.query&&(t.query=r.queryKey),m.socket(r.path,t)}Object.assign(jx,{Manager:tk,Socket:DU,io:jx,connect:jx});let yx;const Lde=new Uint8Array(16);function Fde(){if(!yx&&(yx=typeof crypto<"u"&&crypto.getRandomValues&&crypto.getRandomValues.bind(crypto),!yx))throw new 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See https://github.com/uuidjs/uuid#getrandomvalues-not-supported");return yx(Lde)}const oi=[];for(let e=0;e<256;++e)oi.push((e+256).toString(16).slice(1));function zde(e,t=0){return(oi[e[t+0]]+oi[e[t+1]]+oi[e[t+2]]+oi[e[t+3]]+"-"+oi[e[t+4]]+oi[e[t+5]]+"-"+oi[e[t+6]]+oi[e[t+7]]+"-"+oi[e[t+8]]+oi[e[t+9]]+"-"+oi[e[t+10]]+oi[e[t+11]]+oi[e[t+12]]+oi[e[t+13]]+oi[e[t+14]]+oi[e[t+15]]).toLowerCase()}const Bde=typeof crypto<"u"&&crypto.randomUUID&&crypto.randomUUID.bind(crypto),KF={randomUUID:Bde};function Oy(e,t,r){if(KF.randomUUID&&!t&&!e)return KF.randomUUID();e=e||{};const i=e.random||(e.rng||Fde)();if(i[6]=i[6]&15|64,i[8]=i[8]&63|128,t){r=r||0;for(let o=0;o<16;++o)t[r+o]=i[o];return t}return zde(i)}var Ude=/d{1,4}|D{3,4}|m{1,4}|yy(?:yy)?|([HhMsTt])\1?|W{1,2}|[LlopSZN]|"[^"]*"|'[^']*'/g,jde=/\b(?:[A-Z]{1,3}[A-Z][TC])(?:[-+]\d{4})?|((?:Australian )?(?:Pacific|Mountain|Central|Eastern|Atlantic) (?:Standard|Daylight|Prevailing) Time)\b/g,$de=/[^-+\dA-Z]/g;function 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+`+O.message,"");i({title:"Upload failed",description:_,status:"error",isClosable:!0})},[i]);return k(On,{gap:2,justifyContent:"space-between",width:"100%",children:[k(v3,{fileAcceptedCallback:v,fileRejectionCallback:x,children:k(vu,{size:"sm",fontSize:"md",fontWeight:"normal",onMouseOver:c,onMouseOut:u,children:"Upload Image"},void 0,!1,{fileName:wp,lineNumber:93,columnNumber:9},void 0)},void 0,!1,{fileName:wp,lineNumber:89,columnNumber:7},void 0),k(v3,{fileAcceptedCallback:S,fileRejectionCallback:x,children:k(vu,{isDisabled:!r,size:"sm",fontSize:"md",fontWeight:"normal",onMouseOver:h,onMouseOut:m,children:"Upload Mask"},void 0,!1,{fileName:wp,lineNumber:108,columnNumber:9},void 0)},void 0,!1,{fileName:wp,lineNumber:104,columnNumber:7},void 0),k(Ps,{isDisabled:!r,size:"sm","aria-label":"Reset initial image and mask",onClick:o,icon:k(UU,{},void 0,!1,{fileName:wp,lineNumber:125,columnNumber:15},void 0)},void 0,!1,{fileName:wp,lineNumber:120,columnNumber:7},void 0)]},void 0,!0,{fileName:wp,lineNumber:88,columnNumber:5},void 0)};var Dy="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/InitAndMaskImage.tsx";const nme=Vr(e=>e.sd,e=>({initialImagePath:e.initialImagePath,maskPath:e.maskPath}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),rme=()=>{const{initialImagePath:e,maskPath:t}=wr(nme),[r,i]=D.exports.useState(!1);return k(On,{direction:"column",alignItems:"center",gap:2,children:[k(tme,{setShouldShowMask:i},void 0,!1,{fileName:Dy,lineNumber:31,columnNumber:7},void 0),e&&k(On,{position:"relative",width:"100%",children:[k(db,{fit:"contain",src:e,rounded:"md",className:"checkerboard"},void 0,!1,{fileName:Dy,lineNumber:34,columnNumber:11},void 0),r&&t&&k(db,{position:"absolute",top:0,left:0,fit:"contain",src:t,rounded:"md",zIndex:1},void 0,!1,{fileName:Dy,lineNumber:41,columnNumber:13},void 0)]},void 0,!0,{fileName:Dy,lineNumber:33,columnNumber:9},void 0)]},void 0,!0,{fileName:Dy,lineNumber:30,columnNumber:5},void 0)};var Cx="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/ImageToImageOptions.tsx";const ame=Vr(e=>e.sd,e=>({img2imgStrength:e.img2imgStrength,shouldFitToWidthHeight:e.shouldFitToWidthHeight})),ime=()=>{const e=ci(),{img2imgStrength:t,shouldFitToWidthHeight:r}=wr(ame);return k(On,{direction:"column",gap:2,children:[k(jf,{label:"Strength",step:.01,min:0,max:1,onChange:c=>e(xfe(Number(c))),value:t},void 0,!1,{fileName:Cx,lineNumber:41,columnNumber:7},void 0),k(Rw,{label:"Fit initial image to output size",isChecked:r,onChange:c=>e(Tfe(c.target.checked))},void 0,!1,{fileName:Cx,lineNumber:49,columnNumber:7},void 0),k(rme,{},void 0,!1,{fileName:Cx,lineNumber:54,columnNumber:7},void 0)]},void 0,!0,{fileName:Cx,lineNumber:40,columnNumber:5},void 0)};var Ht="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/OptionsAccordion.tsx";const ome=Vr(e=>e.sd,e=>({initialImagePath:e.initialImagePath,shouldUseInitImage:e.shouldUseInitImage,shouldRunESRGAN:e.shouldRunESRGAN,shouldRunGFPGAN:e.shouldRunGFPGAN}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),sme=Vr(e=>e.system,e=>({isGFPGANAvailable:e.isGFPGANAvailable,isESRGANAvailable:e.isESRGANAvailable,openAccordions:e.openAccordions}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),lme=()=>{const{shouldRunESRGAN:e,shouldRunGFPGAN:t,shouldUseInitImage:r,initialImagePath:i}=wr(ome),{isGFPGANAvailable:o,isESRGANAvailable:c,openAccordions:u}=wr(sme),h=ci();return k(Tz,{defaultIndex:u,allowMultiple:!0,reduceMotion:!0,onChange:C=>h(Wfe(C)),children:[k(Tp,{children:[k("h2",{children:k(_p,{children:[k(Fp,{flex:"1",textAlign:"left",children:"Seed & Variation"},void 0,!1,{fileName:Ht,lineNumber:108,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:111,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:107,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:106,columnNumber:9},void 0),k(Np,{children:k(Kpe,{},void 0,!1,{fileName:Ht,lineNumber:115,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:114,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:105,columnNumber:7},void 0),k(Tp,{children:[k("h2",{children:k(_p,{children:[k(Fp,{flex:"1",textAlign:"left",children:"Sampler"},void 0,!1,{fileName:Ht,lineNumber:121,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:124,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:120,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:119,columnNumber:9},void 0),k(Np,{children:k(Zpe,{},void 0,!1,{fileName:Ht,lineNumber:128,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:127,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:118,columnNumber:7},void 0),k(Tp,{children:[k("h2",{children:k(_p,{children:[k(On,{justifyContent:"space-between",alignItems:"center",width:"100%",mr:2,children:[k(Nr,{children:"Upscale (ESRGAN)"},void 0,!1,{fileName:Ht,lineNumber:140,columnNumber:15},void 0),k(Bf,{isDisabled:!c,isChecked:e,onChange:C=>h(Dfe(C.target.checked))},void 0,!1,{fileName:Ht,lineNumber:141,columnNumber:15},void 0)]},void 0,!0,{fileName:Ht,lineNumber:134,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:147,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:133,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:132,columnNumber:9},void 0),k(Np,{children:k(ehe,{},void 0,!1,{fileName:Ht,lineNumber:151,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:150,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:131,columnNumber:7},void 0),k(Tp,{children:[k("h2",{children:k(_p,{children:[k(On,{justifyContent:"space-between",alignItems:"center",width:"100%",mr:2,children:[k(Nr,{children:"Fix Faces (GFPGAN)"},void 0,!1,{fileName:Ht,lineNumber:163,columnNumber:15},void 0),k(Bf,{isDisabled:!o,isChecked:t,onChange:C=>h(kfe(C.target.checked))},void 0,!1,{fileName:Ht,lineNumber:164,columnNumber:15},void 0)]},void 0,!0,{fileName:Ht,lineNumber:157,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:170,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:156,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:155,columnNumber:9},void 0),k(Np,{children:k(rhe,{},void 0,!1,{fileName:Ht,lineNumber:174,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:173,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:154,columnNumber:7},void 0),k(Tp,{children:[k("h2",{children:k(_p,{children:[k(On,{justifyContent:"space-between",alignItems:"center",width:"100%",mr:2,children:[k(Nr,{children:"Image to Image"},void 0,!1,{fileName:Ht,lineNumber:186,columnNumber:15},void 0),k(Bf,{isDisabled:!i,isChecked:r,onChange:C=>h(Efe(C.target.checked))},void 0,!1,{fileName:Ht,lineNumber:187,columnNumber:15},void 0)]},void 0,!0,{fileName:Ht,lineNumber:180,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:193,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:179,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:178,columnNumber:9},void 0),k(Np,{children:k(ime,{},void 0,!1,{fileName:Ht,lineNumber:197,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:196,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:177,columnNumber:7},void 0),k(Tp,{children:[k("h2",{children:k(_p,{children:[k(Fp,{flex:"1",textAlign:"left",children:"Output"},void 0,!1,{fileName:Ht,lineNumber:203,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:206,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:202,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:201,columnNumber:9},void 0),k(Np,{children:k(ihe,{},void 0,!1,{fileName:Ht,lineNumber:210,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:209,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:200,columnNumber:7},void 0)]},void 0,!0,{fileName:Ht,lineNumber:99,columnNumber:5},void 0)},ume=Vr(e=>e.sd,e=>({prompt:e.prompt,shouldGenerateVariations:e.shouldGenerateVariations,seedWeights:e.seedWeights,maskPath:e.maskPath,initialImagePath:e.initialImagePath,seed:e.seed}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),cme=Vr(e=>e.system,e=>({isProcessing:e.isProcessing,isConnected:e.isConnected}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),fme=()=>{const{prompt:e,shouldGenerateVariations:t,seedWeights:r,maskPath:i,initialImagePath:o,seed:c}=wr(ume),{isProcessing:u,isConnected:h}=wr(cme);return D.exports.useMemo(()=>!(!e||i&&!o||u||!h||t&&(!(mC(r)||r==="")||c===-1)),[e,i,o,u,h,t,r,c])};var OA="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/ProcessButtons.tsx";const dme=Vr(e=>e.system,e=>({isProcessing:e.isProcessing,isConnected:e.isConnected}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),pme=()=>{const e=ci(),{isProcessing:t,isConnected:r}=wr(dme),i=fme();return k(On,{gap:2,direction:"column",alignItems:"space-between",height:"100%",children:[k(ru,{label:"Generate",type:"submit",colorScheme:"green",flexGrow:1,isDisabled:!i,fontSize:"md",size:"md",onClick:()=>e(jU())},void 0,!1,{fileName:OA,lineNumber:45,columnNumber:7},void 0),k(ru,{label:"Cancel",colorScheme:"red",flexGrow:1,fontSize:"md",size:"md",isDisabled:!r||!t,onClick:()=>e(Rpe())},void 0,!1,{fileName:OA,lineNumber:55,columnNumber:7},void 0)]},void 0,!0,{fileName:OA,lineNumber:39,columnNumber:5},void 0)};var hme="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/PromptInput.tsx";const mme=()=>{const{prompt:e}=wr(o=>o.sd),t=ci(),r=o=>t(pfe(o.target.value)),i=o=>{o.key==="Enter"&&o.shiftKey===!1&&(o.preventDefault(),t(jU()))};return k(v6,{id:"prompt",name:"prompt",resize:"none",size:"lg",height:"100%",isInvalid:!e.length,onChange:r,onKeyDown:i,value:e,placeholder:"I'm dreaming of..."},void 0,!1,{fileName:hme,lineNumber:29,columnNumber:5},void 0)};var bl="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/system/LogViewer.tsx";const vme=Vr(e=>e.system,e=>e.log,{memoizeOptions:{resultEqualityCheck:(e,t)=>e.length===t.length}}),gme=Vr(e=>e.system,e=>({shouldShowLogViewer:e.shouldShowLogViewer}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),yme=()=>{const e=ci(),t=wr(vme),{shouldShowLogViewer:r}=wr(gme),i=Ip("gray.50","gray.900"),o=Ip("gray.500","gray.500"),c=Ip({info:void 0,warning:"yellow.500",error:"red.500"},{info:void 0,warning:"yellow.300",error:"red.300"}),[u,h]=D.exports.useState(!0),m=D.exports.useRef(null);D.exports.useLayoutEffect(()=>{m.current!==null&&u&&(m.current.scrollTop=m.current.scrollHeight)},[u,t,r]);const v=()=>{e(Hfe(!r))};return k(bo,{children:[r&&k(On,{position:"fixed",left:0,bottom:0,height:"200px",width:"100vw",overflow:"auto",direction:"column",fontFamily:"monospace",fontSize:"sm",pl:12,pr:2,pb:2,borderTopWidth:"4px",borderColor:o,background:i,ref:m,children:t.map((S,x)=>{const{timestamp:C,message:_,level:N}=S;return k(On,{gap:2,textColor:c[N],children:[k(Nr,{fontSize:"sm",fontWeight:"semibold",children:[C,":"]},void 0,!0,{fileName:bl,lineNumber:109,columnNumber:17},void 0),k(Nr,{fontSize:"sm",wordBreak:"break-all",children:_},void 0,!1,{fileName:bl,lineNumber:112,columnNumber:17},void 0)]},x,!0,{fileName:bl,lineNumber:108,columnNumber:15},void 0)})},void 0,!1,{fileName:bl,lineNumber:87,columnNumber:9},void 0),r&&k($O,{label:u?"Autoscroll on":"Autoscroll off",children:k(Ps,{size:"sm",position:"fixed",left:2,bottom:12,"aria-label":"Toggle autoscroll",variant:"solid",colorScheme:u?"blue":"gray",icon:k(dpe,{},void 0,!1,{fileName:bl,lineNumber:130,columnNumber:19},void 0),onClick:()=>h(!u)},void 0,!1,{fileName:bl,lineNumber:122,columnNumber:11},void 0)},void 0,!1,{fileName:bl,lineNumber:121,columnNumber:9},void 0),k($O,{label:r?"Hide logs":"Show logs",children:k(Ps,{size:"sm",position:"fixed",left:2,bottom:2,variant:"solid","aria-label":"Toggle Log Viewer",icon:r?k(vpe,{},void 0,!1,{fileName:bl,lineNumber:143,columnNumber:39},void 0):k(hpe,{},void 0,!1,{fileName:bl,lineNumber:143,columnNumber:53},void 0),onClick:v},void 0,!1,{fileName:bl,lineNumber:136,columnNumber:9},void 0)},void 0,!1,{fileName:bl,lineNumber:135,columnNumber:7},void 0)]},void 0,!0)};var ii="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/app/App.tsx";const bme=()=>{const e=ci(),[t,r]=D.exports.useState(!1);return D.exports.useEffect(()=>{e(Npe()),r(!0)},[e]),t?k(bo,{children:[k(u2,{width:"100vw",height:"100vh",templateAreas:`
+                    "header header header header"
+                    "progressBar progressBar progressBar progressBar"
+                    "menu prompt processButtons imageRoll"
+                    "menu currentImage currentImage imageRoll"`,gridTemplateRows:"36px 10px 100px auto",gridTemplateColumns:"350px auto 100px 388px",gap:2,children:[k(Rf,{area:"header",pt:1,children:k(Ype,{},void 0,!1,{fileName:ii,lineNumber:40,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:39,columnNumber:9},void 0),k(Rf,{area:"progressBar",children:k(jpe,{},void 0,!1,{fileName:ii,lineNumber:43,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:42,columnNumber:9},void 0),k(Rf,{pl:"2",area:"menu",overflowY:"scroll",children:k(lme,{},void 0,!1,{fileName:ii,lineNumber:46,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:45,columnNumber:9},void 0),k(Rf,{area:"prompt",children:k(mme,{},void 0,!1,{fileName:ii,lineNumber:49,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:48,columnNumber:9},void 0),k(Rf,{area:"processButtons",children:k(pme,{},void 0,!1,{fileName:ii,lineNumber:52,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:51,columnNumber:9},void 0),k(Rf,{area:"currentImage",children:k(Ipe,{},void 0,!1,{fileName:ii,lineNumber:55,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:54,columnNumber:9},void 0),k(Rf,{pr:"2",area:"imageRoll",overflowY:"scroll",children:k(zpe,{},void 0,!1,{fileName:ii,lineNumber:58,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:57,columnNumber:9},void 0)]},void 0,!0,{fileName:ii,lineNumber:27,columnNumber:7},void 0),k(yme,{},void 0,!1,{fileName:ii,lineNumber:61,columnNumber:7},void 0)]},void 0,!0):k(FU,{},void 0,!1,{fileName:ii,lineNumber:64,columnNumber:5},void 0)};var Cp="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/main.tsx";const ej=nfe(IU);DA.createRoot(document.getElementById("root")).render(k(Ue.StrictMode,{children:k(Pce,{store:IU,children:k(LU,{loading:k(FU,{},void 0,!1,{fileName:Cp,lineNumber:18,columnNumber:29},void 0),persistor:ej,children:k(Eue,{theme:t3,children:[k(rH,{initialColorMode:t3.config.initialColorMode},void 0,!1,{fileName:Cp,lineNumber:20,columnNumber:11},void 0),k(bme,{},void 0,!1,{fileName:Cp,lineNumber:21,columnNumber:11},void 0)]},void 0,!0,{fileName:Cp,lineNumber:19,columnNumber:9},void 0)},void 0,!1,{fileName:Cp,lineNumber:18,columnNumber:7},void 0)},void 0,!1,{fileName:Cp,lineNumber:17,columnNumber:5},void 0)},void 0,!1,{fileName:Cp,lineNumber:16,columnNumber:3},void 0));
diff --git a/frontend/dist/index.html b/frontend/dist/index.html
index 8006c7f87f..66adaec136 100644
--- a/frontend/dist/index.html
+++ b/frontend/dist/index.html
@@ -4,7 +4,7 @@
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Stable Diffusion Dream Server</title>
-    <script type="module" crossorigin src="/assets/index.3d2e59c5.js"></script>
+    <script type="module" crossorigin src="/assets/index.de730902.js"></script>
     <link rel="stylesheet" href="/assets/index.447eb2a9.css">
   </head>
   <body>
diff --git a/frontend/src/App.tsx b/frontend/src/app/App.tsx
similarity index 64%
rename from frontend/src/App.tsx
rename to frontend/src/app/App.tsx
index 642a617f30..4a161714ee 100644
--- a/frontend/src/App.tsx
+++ b/frontend/src/app/App.tsx
@@ -1,25 +1,28 @@
 import { Grid, GridItem } from '@chakra-ui/react';
-import CurrentImageDisplay from './features/gallery/CurrentImageDisplay';
-import LogViewer from './features/system/LogViewer';
-import PromptInput from './features/sd/PromptInput';
-import ProgressBar from './features/header/ProgressBar';
-import { useEffect } from 'react';
-import { useAppDispatch } from './app/hooks';
-import { requestAllImages } from './app/socketio';
-import ProcessButtons from './features/sd/ProcessButtons';
-import ImageGallery from './features/gallery/ImageGallery';
-import SiteHeader from './features/header/SiteHeader';
-import OptionsAccordion from './features/sd/OptionsAccordion';
+import { useEffect, useState } from 'react';
+import CurrentImageDisplay from '../features/gallery/CurrentImageDisplay';
+import ImageGallery from '../features/gallery/ImageGallery';
+import ProgressBar from '../features/header/ProgressBar';
+import SiteHeader from '../features/header/SiteHeader';
+import OptionsAccordion from '../features/sd/OptionsAccordion';
+import ProcessButtons from '../features/sd/ProcessButtons';
+import PromptInput from '../features/sd/PromptInput';
+import LogViewer from '../features/system/LogViewer';
+import Loading from '../Loading';
+import { useAppDispatch } from './store';
+import { requestAllImages } from './socketio/actions';
 
 const App = () => {
   const dispatch = useAppDispatch();
+  const [isReady, setIsReady] = useState<boolean>(false);
 
   // Load images from the gallery once
   useEffect(() => {
     dispatch(requestAllImages());
+    setIsReady(true);
   }, [dispatch]);
 
-  return (
+  return isReady ? (
     <>
       <Grid
         width="100vw"
@@ -57,6 +60,8 @@ const App = () => {
       </Grid>
       <LogViewer />
     </>
+  ) : (
+    <Loading />
   );
 };
 
diff --git a/frontend/src/app/constants.ts b/frontend/src/app/constants.ts
index bd3bb5a470..3e12201c35 100644
--- a/frontend/src/app/constants.ts
+++ b/frontend/src/app/constants.ts
@@ -2,52 +2,52 @@
 
 // Valid samplers
 export const SAMPLERS: Array<string> = [
-    'ddim',
-    'plms',
-    'k_lms',
-    'k_dpm_2',
-    'k_dpm_2_a',
-    'k_euler',
-    'k_euler_a',
-    'k_heun',
+  'ddim',
+  'plms',
+  'k_lms',
+  'k_dpm_2',
+  'k_dpm_2_a',
+  'k_euler',
+  'k_euler_a',
+  'k_heun',
 ];
 
 // Valid image widths
 export const WIDTHS: Array<number> = [
-    64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960,
-    1024,
+  64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960,
+  1024,
 ];
 
 // Valid image heights
 export const HEIGHTS: Array<number> = [
-    64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960,
-    1024,
+  64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960,
+  1024,
 ];
 
 // Valid upscaling levels
 export const UPSCALING_LEVELS: Array<{ key: string; value: number }> = [
-    { key: '2x', value: 2 },
-    { key: '4x', value: 4 },
+  { key: '2x', value: 2 },
+  { key: '4x', value: 4 },
 ];
 
 // Internal to human-readable parameters
 export const PARAMETERS: { [key: string]: string } = {
-    prompt: 'Prompt',
-    iterations: 'Iterations',
-    steps: 'Steps',
-    cfgScale: 'CFG Scale',
-    height: 'Height',
-    width: 'Width',
-    sampler: 'Sampler',
-    seed: 'Seed',
-    img2imgStrength: 'img2img Strength',
-    gfpganStrength: 'GFPGAN Strength',
-    upscalingLevel: 'Upscaling Level',
-    upscalingStrength: 'Upscaling Strength',
-    initialImagePath: 'Initial Image',
-    maskPath: 'Initial Image Mask',
-    shouldFitToWidthHeight: 'Fit Initial Image',
-    seamless: 'Seamless Tiling',
+  prompt: 'Prompt',
+  iterations: 'Iterations',
+  steps: 'Steps',
+  cfgScale: 'CFG Scale',
+  height: 'Height',
+  width: 'Width',
+  sampler: 'Sampler',
+  seed: 'Seed',
+  img2imgStrength: 'img2img Strength',
+  gfpganStrength: 'GFPGAN Strength',
+  upscalingLevel: 'Upscaling Level',
+  upscalingStrength: 'Upscaling Strength',
+  initialImagePath: 'Initial Image',
+  maskPath: 'Initial Image Mask',
+  shouldFitToWidthHeight: 'Fit Initial Image',
+  seamless: 'Seamless Tiling',
 };
 
 export const NUMPY_RAND_MIN = 0;
diff --git a/frontend/src/app/hooks.ts b/frontend/src/app/hooks.ts
deleted file mode 100644
index 92a85eff3d..0000000000
--- a/frontend/src/app/hooks.ts
+++ /dev/null
@@ -1,7 +0,0 @@
-import { useDispatch, useSelector } from 'react-redux';
-import type { TypedUseSelectorHook } from 'react-redux';
-import type { RootState, AppDispatch } from './store';
-
-// Use throughout your app instead of plain `useDispatch` and `useSelector`
-export const useAppDispatch: () => AppDispatch = useDispatch;
-export const useAppSelector: TypedUseSelectorHook<RootState> = useSelector;
diff --git a/frontend/src/app/socketio.ts b/frontend/src/app/socketio.ts
deleted file mode 100644
index 710f3799ae..0000000000
--- a/frontend/src/app/socketio.ts
+++ /dev/null
@@ -1,393 +0,0 @@
-import { createAction, Middleware } from '@reduxjs/toolkit';
-import { io } from 'socket.io-client';
-import {
-    addImage,
-    clearIntermediateImage,
-    removeImage,
-    SDImage,
-    SDMetadata,
-    setGalleryImages,
-    setIntermediateImage,
-} from '../features/gallery/gallerySlice';
-import {
-    addLogEntry,
-    setCurrentStep,
-    setIsConnected,
-    setIsProcessing,
-} from '../features/system/systemSlice';
-import { v4 as uuidv4 } from 'uuid';
-import { setInitialImagePath, setMaskPath } from '../features/sd/sdSlice';
-import {
-    backendToFrontendParameters,
-    frontendToBackendParameters,
-} from './parameterTranslation';
-
-export interface SocketIOResponse {
-    status: 'OK' | 'ERROR';
-    message?: string;
-    data?: any;
-}
-
-export const socketioMiddleware = () => {
-    const { hostname, port } = new URL(window.location.href);
-
-    const socketio = io(`http://${hostname}:9090`);
-
-    let areListenersSet = false;
-
-    const middleware: Middleware = (store) => (next) => (action) => {
-        const { dispatch, getState } = store;
-        if (!areListenersSet) {
-            // CONNECT
-            socketio.on('connect', () => {
-                try {
-                    dispatch(setIsConnected(true));
-                } catch (e) {
-                    console.error(e);
-                }
-            });
-
-            // DISCONNECT
-            socketio.on('disconnect', () => {
-                try {
-                    dispatch(setIsConnected(false));
-                    dispatch(setIsProcessing(false));
-                    dispatch(addLogEntry(`Disconnected from server`));
-                } catch (e) {
-                    console.error(e);
-                }
-            });
-
-            // PROCESSING RESULT
-            socketio.on(
-                'result',
-                (data: {
-                    url: string;
-                    type: 'generation' | 'esrgan' | 'gfpgan';
-                    uuid?: string;
-                    metadata: { [key: string]: any };
-                }) => {
-                    try {
-                        const newUuid = uuidv4();
-                        const { type, url, uuid, metadata } = data;
-                        switch (type) {
-                            case 'generation': {
-                                const translatedMetadata =
-                                    backendToFrontendParameters(metadata);
-                                dispatch(
-                                    addImage({
-                                        uuid: newUuid,
-                                        url,
-                                        metadata: translatedMetadata,
-                                    })
-                                );
-                                dispatch(
-                                    addLogEntry(`Image generated: ${url}`)
-                                );
-
-                                break;
-                            }
-                            case 'esrgan': {
-                                const originalImage =
-                                    getState().gallery.images.find(
-                                        (i: SDImage) => i.uuid === uuid
-                                    );
-                                const newMetadata = {
-                                    ...originalImage.metadata,
-                                };
-                                newMetadata.shouldRunESRGAN = true;
-                                newMetadata.upscalingLevel =
-                                    metadata.upscale[0];
-                                newMetadata.upscalingStrength =
-                                    metadata.upscale[1];
-                                dispatch(
-                                    addImage({
-                                        uuid: newUuid,
-                                        url,
-                                        metadata: newMetadata,
-                                    })
-                                );
-                                dispatch(
-                                    addLogEntry(`ESRGAN upscaled: ${url}`)
-                                );
-
-                                break;
-                            }
-                            case 'gfpgan': {
-                                const originalImage =
-                                    getState().gallery.images.find(
-                                        (i: SDImage) => i.uuid === uuid
-                                    );
-                                const newMetadata = {
-                                    ...originalImage.metadata,
-                                };
-                                newMetadata.shouldRunGFPGAN = true;
-                                newMetadata.gfpganStrength =
-                                    metadata.gfpgan_strength;
-                                dispatch(
-                                    addImage({
-                                        uuid: newUuid,
-                                        url,
-                                        metadata: newMetadata,
-                                    })
-                                );
-                                dispatch(
-                                    addLogEntry(`GFPGAN fixed faces: ${url}`)
-                                );
-
-                                break;
-                            }
-                        }
-                        dispatch(setIsProcessing(false));
-                    } catch (e) {
-                        console.error(e);
-                    }
-                }
-            );
-
-            // PROGRESS UPDATE
-            socketio.on('progress', (data: { step: number }) => {
-                try {
-                    dispatch(setIsProcessing(true));
-                    dispatch(setCurrentStep(data.step));
-                } catch (e) {
-                    console.error(e);
-                }
-            });
-
-            // INTERMEDIATE IMAGE
-            socketio.on(
-                'intermediateResult',
-                (data: { url: string; metadata: SDMetadata }) => {
-                    try {
-                        const uuid = uuidv4();
-                        const { url, metadata } = data;
-                        dispatch(
-                            setIntermediateImage({
-                                uuid,
-                                url,
-                                metadata,
-                            })
-                        );
-                        dispatch(
-                            addLogEntry(`Intermediate image generated: ${url}`)
-                        );
-                    } catch (e) {
-                        console.error(e);
-                    }
-                }
-            );
-
-            // ERROR FROM BACKEND
-            socketio.on('error', (message) => {
-                try {
-                    dispatch(addLogEntry(`Server error: ${message}`));
-                    dispatch(setIsProcessing(false));
-                    dispatch(clearIntermediateImage());
-                } catch (e) {
-                    console.error(e);
-                }
-            });
-
-            areListenersSet = true;
-        }
-
-        // HANDLE ACTIONS
-
-        switch (action.type) {
-            // GENERATE IMAGE
-            case 'socketio/generateImage': {
-                dispatch(setIsProcessing(true));
-                dispatch(setCurrentStep(-1));
-
-                const {
-                    generationParameters,
-                    esrganParameters,
-                    gfpganParameters,
-                } = frontendToBackendParameters(
-                    getState().sd,
-                    getState().system
-                );
-
-                socketio.emit(
-                    'generateImage',
-                    generationParameters,
-                    esrganParameters,
-                    gfpganParameters
-                );
-
-                dispatch(
-                    addLogEntry(
-                        `Image generation requested: ${JSON.stringify({
-                            ...generationParameters,
-                            ...esrganParameters,
-                            ...gfpganParameters,
-                        })}`
-                    )
-                );
-                break;
-            }
-
-            // RUN ESRGAN (UPSCALING)
-            case 'socketio/runESRGAN': {
-                const imageToProcess = action.payload;
-                dispatch(setIsProcessing(true));
-                dispatch(setCurrentStep(-1));
-                const { upscalingLevel, upscalingStrength } = getState().sd;
-                const esrganParameters = {
-                    upscale: [upscalingLevel, upscalingStrength],
-                };
-                socketio.emit('runESRGAN', imageToProcess, esrganParameters);
-                dispatch(
-                    addLogEntry(
-                        `ESRGAN upscale requested: ${JSON.stringify({
-                            file: imageToProcess.url,
-                            ...esrganParameters,
-                        })}`
-                    )
-                );
-                break;
-            }
-
-            // RUN GFPGAN (FIX FACES)
-            case 'socketio/runGFPGAN': {
-                const imageToProcess = action.payload;
-                dispatch(setIsProcessing(true));
-                dispatch(setCurrentStep(-1));
-                const { gfpganStrength } = getState().sd;
-
-                const gfpganParameters = {
-                    gfpgan_strength: gfpganStrength,
-                };
-                socketio.emit('runGFPGAN', imageToProcess, gfpganParameters);
-                dispatch(
-                    addLogEntry(
-                        `GFPGAN fix faces requested: ${JSON.stringify({
-                            file: imageToProcess.url,
-                            ...gfpganParameters,
-                        })}`
-                    )
-                );
-                break;
-            }
-
-            // DELETE IMAGE
-            case 'socketio/deleteImage': {
-                const imageToDelete = action.payload;
-                const { url } = imageToDelete;
-                socketio.emit(
-                    'deleteImage',
-                    url,
-                    (response: SocketIOResponse) => {
-                        if (response.status === 'OK') {
-                            dispatch(removeImage(imageToDelete));
-                            dispatch(addLogEntry(`Image deleted: ${url}`));
-                        }
-                    }
-                );
-                break;
-            }
-
-            // GET ALL IMAGES FOR GALLERY
-            case 'socketio/requestAllImages': {
-                socketio.emit(
-                    'requestAllImages',
-                    (response: SocketIOResponse) => {
-                        dispatch(setGalleryImages(response.data));
-                        dispatch(
-                            addLogEntry(`Loaded ${response.data.length} images`)
-                        );
-                    }
-                );
-                break;
-            }
-
-            // CANCEL PROCESSING
-            case 'socketio/cancelProcessing': {
-                socketio.emit('cancel', (response: SocketIOResponse) => {
-                    const { intermediateImage } = getState().gallery;
-                    if (response.status === 'OK') {
-                        dispatch(setIsProcessing(false));
-                        if (intermediateImage) {
-                            dispatch(addImage(intermediateImage));
-                            dispatch(
-                                addLogEntry(
-                                    `Intermediate image saved: ${intermediateImage.url}`
-                                )
-                            );
-
-                            dispatch(clearIntermediateImage());
-                        }
-                        dispatch(addLogEntry(`Processing canceled`));
-                    }
-                });
-                break;
-            }
-
-            // UPLOAD INITIAL IMAGE
-            case 'socketio/uploadInitialImage': {
-                const file = action.payload;
-
-                socketio.emit(
-                    'uploadInitialImage',
-                    file,
-                    file.name,
-                    (response: SocketIOResponse) => {
-                        if (response.status === 'OK') {
-                            dispatch(setInitialImagePath(response.data));
-                            dispatch(
-                                addLogEntry(
-                                    `Initial image uploaded: ${response.data}`
-                                )
-                            );
-                        }
-                    }
-                );
-                break;
-            }
-
-            // UPLOAD MASK IMAGE
-            case 'socketio/uploadMaskImage': {
-                const file = action.payload;
-
-                socketio.emit(
-                    'uploadMaskImage',
-                    file,
-                    file.name,
-                    (response: SocketIOResponse) => {
-                        if (response.status === 'OK') {
-                            dispatch(setMaskPath(response.data));
-                            dispatch(
-                                addLogEntry(
-                                    `Mask image uploaded: ${response.data}`
-                                )
-                            );
-                        }
-                    }
-                );
-                break;
-            }
-        }
-
-        next(action);
-    };
-
-    return middleware;
-};
-
-// Actions to be used by app
-
-export const generateImage = createAction<undefined>('socketio/generateImage');
-export const runESRGAN = createAction<SDImage>('socketio/runESRGAN');
-export const runGFPGAN = createAction<SDImage>('socketio/runGFPGAN');
-export const deleteImage = createAction<SDImage>('socketio/deleteImage');
-export const requestAllImages = createAction<undefined>(
-    'socketio/requestAllImages'
-);
-export const cancelProcessing = createAction<undefined>(
-    'socketio/cancelProcessing'
-);
-export const uploadInitialImage = createAction<File>(
-    'socketio/uploadInitialImage'
-);
-export const uploadMaskImage = createAction<File>('socketio/uploadMaskImage');
diff --git a/frontend/src/app/socketio/actions.ts b/frontend/src/app/socketio/actions.ts
new file mode 100644
index 0000000000..8e5559a251
--- /dev/null
+++ b/frontend/src/app/socketio/actions.ts
@@ -0,0 +1,24 @@
+import { createAction } from '@reduxjs/toolkit';
+import { SDImage } from '../../features/gallery/gallerySlice';
+
+/**
+ * We can't use redux-toolkit's createSlice() to make these actions,
+ * because they have no associated reducer. They only exist to dispatch
+ * requests to the server via socketio. These actions will be handled
+ * by the middleware.
+ */
+
+export const generateImage = createAction<undefined>('socketio/generateImage');
+export const runESRGAN = createAction<SDImage>('socketio/runESRGAN');
+export const runGFPGAN = createAction<SDImage>('socketio/runGFPGAN');
+export const deleteImage = createAction<SDImage>('socketio/deleteImage');
+export const requestAllImages = createAction<undefined>(
+  'socketio/requestAllImages'
+);
+export const cancelProcessing = createAction<undefined>(
+  'socketio/cancelProcessing'
+);
+export const uploadInitialImage = createAction<File>(
+  'socketio/uploadInitialImage'
+);
+export const uploadMaskImage = createAction<File>('socketio/uploadMaskImage');
diff --git a/frontend/src/app/socketio/emitters.ts b/frontend/src/app/socketio/emitters.ts
new file mode 100644
index 0000000000..1a198837fa
--- /dev/null
+++ b/frontend/src/app/socketio/emitters.ts
@@ -0,0 +1,101 @@
+import { AnyAction, Dispatch, MiddlewareAPI } from '@reduxjs/toolkit';
+import dateFormat from 'dateformat';
+import { Socket } from 'socket.io-client';
+import { frontendToBackendParameters } from '../../common/util/parameterTranslation';
+import { SDImage } from '../../features/gallery/gallerySlice';
+import {
+  addLogEntry,
+  setIsProcessing,
+} from '../../features/system/systemSlice';
+
+/**
+ * Returns an object containing all functions which use `socketio.emit()`.
+ * i.e. those which make server requests.
+ */
+const makeSocketIOEmitters = (
+  store: MiddlewareAPI<Dispatch<AnyAction>, any>,
+  socketio: Socket
+) => {
+  // We need to dispatch actions to redux and get pieces of state from the store.
+  const { dispatch, getState } = store;
+
+  return {
+    emitGenerateImage: () => {
+      dispatch(setIsProcessing(true));
+
+      const { generationParameters, esrganParameters, gfpganParameters } =
+        frontendToBackendParameters(getState().sd, getState().system);
+
+      socketio.emit(
+        'generateImage',
+        generationParameters,
+        esrganParameters,
+        gfpganParameters
+      );
+
+      dispatch(
+        addLogEntry({
+          timestamp: dateFormat(new Date(), 'isoDateTime'),
+          message: `Image generation requested: ${JSON.stringify({
+            ...generationParameters,
+            ...esrganParameters,
+            ...gfpganParameters,
+          })}`,
+        })
+      );
+    },
+    emitRunESRGAN: (imageToProcess: SDImage) => {
+      dispatch(setIsProcessing(true));
+      const { upscalingLevel, upscalingStrength } = getState().sd;
+      const esrganParameters = {
+        upscale: [upscalingLevel, upscalingStrength],
+      };
+      socketio.emit('runESRGAN', imageToProcess, esrganParameters);
+      dispatch(
+        addLogEntry({
+          timestamp: dateFormat(new Date(), 'isoDateTime'),
+          message: `ESRGAN upscale requested: ${JSON.stringify({
+            file: imageToProcess.url,
+            ...esrganParameters,
+          })}`,
+        })
+      );
+    },
+    emitRunGFPGAN: (imageToProcess: SDImage) => {
+      dispatch(setIsProcessing(true));
+      const { gfpganStrength } = getState().sd;
+
+      const gfpganParameters = {
+        gfpgan_strength: gfpganStrength,
+      };
+      socketio.emit('runGFPGAN', imageToProcess, gfpganParameters);
+      dispatch(
+        addLogEntry({
+          timestamp: dateFormat(new Date(), 'isoDateTime'),
+          message: `GFPGAN fix faces requested: ${JSON.stringify({
+            file: imageToProcess.url,
+            ...gfpganParameters,
+          })}`,
+        })
+      );
+    },
+    emitDeleteImage: (imageToDelete: SDImage) => {
+      const { url, uuid } = imageToDelete;
+      socketio.emit('deleteImage', url, uuid);
+    },
+    emitRequestAllImages: () => {
+      socketio.emit('requestAllImages');
+    },
+    emitCancelProcessing: () => {
+      socketio.emit('cancel');
+    },
+    emitUploadInitialImage: (file: File) => {
+      socketio.emit('uploadInitialImage', file, file.name);
+    },
+    emitUploadMaskImage: (file: File) => {
+      socketio.emit('uploadMaskImage', file, file.name);
+    },
+  };
+};
+
+export default makeSocketIOEmitters;
diff --git a/frontend/src/app/socketio/listeners.ts b/frontend/src/app/socketio/listeners.ts
new file mode 100644
index 0000000000..df0982f34f
--- /dev/null
+++ b/frontend/src/app/socketio/listeners.ts
@@ -0,0 +1,338 @@
+import { AnyAction, MiddlewareAPI, Dispatch } from '@reduxjs/toolkit';
+import { v4 as uuidv4 } from 'uuid';
+import dateFormat from 'dateformat';
+
+import {
+  addLogEntry,
+  setIsConnected,
+  setIsProcessing,
+  SystemStatus,
+  setSystemStatus,
+  setCurrentStatus,
+} from '../../features/system/systemSlice';
+
+import type {
+  ServerGenerationResult,
+  ServerESRGANResult,
+  ServerGFPGANResult,
+  ServerIntermediateResult,
+  ServerError,
+  ServerGalleryImages,
+  ServerImageUrlAndUuid,
+  ServerImageUrl,
+} from './types';
+
+import { backendToFrontendParameters } from '../../common/util/parameterTranslation';
+
+import {
+  addImage,
+  clearIntermediateImage,
+  removeImage,
+  SDImage,
+  setGalleryImages,
+  setIntermediateImage,
+} from '../../features/gallery/gallerySlice';
+
+import { setInitialImagePath, setMaskPath } from '../../features/sd/sdSlice';
+
+/**
+ * Returns an object containing listener callbacks for socketio events.
+ * TODO: This file is large, but simple. Should it be split up further?
+ */
+const makeSocketIOListeners = (
+  store: MiddlewareAPI<Dispatch<AnyAction>, any>
+) => {
+  const { dispatch, getState } = store;
+
+  return {
+    /**
+     * Callback to run when we receive a 'connect' event.
+     */
+    onConnect: () => {
+      try {
+        dispatch(setIsConnected(true));
+        dispatch(setCurrentStatus('Connected'));
+      } catch (e) {
+        console.error(e);
+      }
+    },
+    /**
+     * Callback to run when we receive a 'disconnect' event.
+     */
+    onDisconnect: () => {
+      try {
+        dispatch(setIsConnected(false));
+        dispatch(setIsProcessing(false));
+        dispatch(setCurrentStatus('Disconnected'));
+
+        dispatch(
+          addLogEntry({
+            timestamp: dateFormat(new Date(), 'isoDateTime'),
+            message: `Disconnected from server`,
+            level: 'warning',
+          })
+        );
+      } catch (e) {
+        console.error(e);
+      }
+    },
+    /**
+     * Callback to run when we receive a 'generationResult' event.
+     */
+    onGenerationResult: (data: ServerGenerationResult) => {
+      try {
+        const { url, metadata } = data;
+        const newUuid = uuidv4();
+
+        const translatedMetadata = backendToFrontendParameters(metadata);
+
+        dispatch(
+          addImage({
+            uuid: newUuid,
+            url,
+            metadata: translatedMetadata,
+          })
+        );
+        dispatch(
+          addLogEntry({
+            timestamp: dateFormat(new Date(), 'isoDateTime'),
+            message: `Image generated: ${url}`,
+          })
+        );
+        dispatch(setIsProcessing(false));
+      } catch (e) {
+        console.error(e);
+      }
+    },
+    /**
+     * Callback to run when we receive a 'intermediateResult' event.
+     */
+    onIntermediateResult: (data: ServerIntermediateResult) => {
+      try {
+        const uuid = uuidv4();
+        const { url, metadata } = data;
+        dispatch(
+          setIntermediateImage({
+            uuid,
+            url,
+            metadata,
+          })
+        );
+        dispatch(
+          addLogEntry({
+            timestamp: dateFormat(new Date(), 'isoDateTime'),
+            message: `Intermediate image generated: ${url}`,
+          })
+        );
+        dispatch(setIsProcessing(false));
+      } catch (e) {
+        console.error(e);
+      }
+    },
+    /**
+     * Callback to run when we receive an 'esrganResult' event.
+     */
+    onESRGANResult: (data: ServerESRGANResult) => {
+      try {
+        const { url, uuid, metadata } = data;
+        const newUuid = uuidv4();
+
+        // This image was only ESRGAN'd, grab the original image's metadata
+        const originalImage = getState().gallery.images.find(
+          (i: SDImage) => i.uuid === uuid
+        );
+
+        // Retain the original metadata
+        const newMetadata = {
+          ...originalImage.metadata,
+        };
+
+        // Update the ESRGAN-related fields
+        newMetadata.shouldRunESRGAN = true;
+        newMetadata.upscalingLevel = metadata.upscale[0];
+        newMetadata.upscalingStrength = metadata.upscale[1];
+
+        dispatch(
+          addImage({
+            uuid: newUuid,
+            url,
+            metadata: newMetadata,
+          })
+        );
+
+        dispatch(
+          addLogEntry({
+            timestamp: dateFormat(new Date(), 'isoDateTime'),
+            message: `Upscaled: ${url}`,
+          })
+        );
+        dispatch(setIsProcessing(false));
+      } catch (e) {
+        console.error(e);
+      }
+    },
+    /**
+     * Callback to run when we receive a 'gfpganResult' event.
+     */
+    onGFPGANResult: (data: ServerGFPGANResult) => {
+      try {
+        const { url, uuid, metadata } = data;
+        const newUuid = uuidv4();
+
+        // This image was only GFPGAN'd, grab the original image's metadata
+        const originalImage = getState().gallery.images.find(
+          (i: SDImage) => i.uuid === uuid
+        );
+
+        // Retain the original metadata
+        const newMetadata = {
+          ...originalImage.metadata,
+        };
+
+        // Update the GFPGAN-related fields
+        newMetadata.shouldRunGFPGAN = true;
+        newMetadata.gfpganStrength = metadata.gfpgan_strength;
+
+        dispatch(
+          addImage({
+            uuid: newUuid,
+            url,
+            metadata: newMetadata,
+          })
+        );
+
+        dispatch(
+          addLogEntry({
+            timestamp: dateFormat(new Date(), 'isoDateTime'),
+            message: `Fixed faces: ${url}`,
+          })
+        );
+      } catch (e) {
+        console.error(e);
+      }
+    },
+    /**
+     * Callback to run when we receive a 'progressUpdate' event.
+     * TODO: Add additional progress phases
+     */
+    onProgressUpdate: (data: SystemStatus) => {
+      try {
+        dispatch(setIsProcessing(true));
+        dispatch(setSystemStatus(data));
+      } catch (e) {
+        console.error(e);
+      }
+    },
+    /**
+     * Callback to run when we receive a 'progressUpdate' event.
+     */
+    onError: (data: ServerError) => {
+      const { message, additionalData } = data;
+
+      if (additionalData) {
+        // TODO: handle more data than short message
+      }
+
+      try {
+        dispatch(
+          addLogEntry({
+            timestamp: dateFormat(new Date(), 'isoDateTime'),
+            message: `Server error: ${message}`,
+            level: 'error',
+          })
+        );
+        dispatch(setIsProcessing(false));
+        dispatch(clearIntermediateImage());
+      } catch (e) {
+        console.error(e);
+      }
+    },
+    /**
+     * Callback to run when we receive a 'galleryImages' event.
+     */
+    onGalleryImages: (data: ServerGalleryImages) => {
+      const { images } = data;
+      const preparedImages = images.map((image): SDImage => {
+        return {
+          uuid: uuidv4(),
+          url: image.path,
+          metadata: backendToFrontendParameters(image.metadata),
+        };
+      });
+      dispatch(setGalleryImages(preparedImages));
+      dispatch(
+        addLogEntry({
+          timestamp: dateFormat(new Date(), 'isoDateTime'),
+          message: `Loaded ${images.length} images`,
+        })
+      );
+    },
+    /**
+     * Callback to run when we receive a 'processingCanceled' event.
+     */
+    onProcessingCanceled: () => {
+      dispatch(setIsProcessing(false));
+
+      const { intermediateImage } = getState().gallery;
+
+      if (intermediateImage) {
+        dispatch(addImage(intermediateImage));
+        dispatch(
+          addLogEntry({
+            timestamp: dateFormat(new Date(), 'isoDateTime'),
+            message: `Intermediate image saved: ${intermediateImage.url}`,
+          })
+        );
+        dispatch(clearIntermediateImage());
+      }
+      dispatch(
+        addLogEntry({
+          timestamp: dateFormat(new Date(), 'isoDateTime'),
+          message: `Processing canceled`,
+          level: 'warning',
+        })
+      );
+    },
+    /**
+     * Callback to run when we receive a 'imageDeleted' event.
+     */
+    onImageDeleted: (data: ServerImageUrlAndUuid) => {
+      const { url, uuid } = data;
+      dispatch(removeImage(uuid));
+      dispatch(
+        addLogEntry({
+          timestamp: dateFormat(new Date(), 'isoDateTime'),
+          message: `Image deleted: ${url}`,
+        })
+      );
+    },
+    /**
+     * Callback to run when we receive a 'initialImageUploaded' event.
+     */
+    onInitialImageUploaded: (data: ServerImageUrl) => {
+      const { url } = data;
+      dispatch(setInitialImagePath(url));
+      dispatch(
+        addLogEntry({
+          timestamp: dateFormat(new Date(), 'isoDateTime'),
+          message: `Initial image uploaded: ${url}`,
+        })
+      );
+    },
+    /**
+     * Callback to run when we receive a 'maskImageUploaded' event.
+     */
+    onMaskImageUploaded: (data: ServerImageUrl) => {
+      const { url } = data;
+      dispatch(setMaskPath(url));
+      dispatch(
+        addLogEntry({
+          timestamp: dateFormat(new Date(), 'isoDateTime'),
+          message: `Mask image uploaded: ${url}`,
+        })
+      );
+    },
+  };
+};
+
+export default makeSocketIOListeners;
diff --git a/frontend/src/app/socketio/middleware.ts b/frontend/src/app/socketio/middleware.ts
new file mode 100644
index 0000000000..89844c27c2
--- /dev/null
+++ b/frontend/src/app/socketio/middleware.ts
@@ -0,0 +1,157 @@
+import { Middleware } from '@reduxjs/toolkit';
+import { io } from 'socket.io-client';
+
+import makeSocketIOListeners from './listeners';
+import makeSocketIOEmitters from './emitters';
+
+import type {
+  ServerGenerationResult,
+  ServerESRGANResult,
+  ServerGFPGANResult,
+  ServerIntermediateResult,
+  ServerError,
+  ServerGalleryImages,
+  ServerImageUrlAndUuid,
+  ServerImageUrl,
+} from './types';
+import { SystemStatus } from '../../features/system/systemSlice';
+
+export const socketioMiddleware = () => {
+  const { hostname, port } = new URL(window.location.href);
+
+  const socketio = io(`http://${hostname}:9090`);
+
+  let areListenersSet = false;
+
+  const middleware: Middleware = (store) => (next) => (action) => {
+    const {
+      onConnect,
+      onDisconnect,
+      onError,
+      onESRGANResult,
+      onGFPGANResult,
+      onGenerationResult,
+      onIntermediateResult,
+      onProgressUpdate,
+      onGalleryImages,
+      onProcessingCanceled,
+      onImageDeleted,
+      onInitialImageUploaded,
+      onMaskImageUploaded,
+    } = makeSocketIOListeners(store);
+
+    const {
+      emitGenerateImage,
+      emitRunESRGAN,
+      emitRunGFPGAN,
+      emitDeleteImage,
+      emitRequestAllImages,
+      emitCancelProcessing,
+      emitUploadInitialImage,
+      emitUploadMaskImage,
+    } = makeSocketIOEmitters(store, socketio);
+
+    /**
+     * If this is the first time the middleware has been called (e.g. during store setup),
+     * initialize all our socket.io listeners.
+     */
+    if (!areListenersSet) {
+      socketio.on('connect', () => onConnect());
+
+      socketio.on('disconnect', () => onDisconnect());
+
+      socketio.on('error', (data: ServerError) => onError(data));
+
+      socketio.on('generationResult', (data: ServerGenerationResult) =>
+        onGenerationResult(data)
+      );
+
+      socketio.on('esrganResult', (data: ServerESRGANResult) =>
+        onESRGANResult(data)
+      );
+
+      socketio.on('gfpganResult', (data: ServerGFPGANResult) =>
+        onGFPGANResult(data)
+      );
+
+      socketio.on('intermediateResult', (data: ServerIntermediateResult) =>
+        onIntermediateResult(data)
+      );
+
+      socketio.on('progressUpdate', (data: SystemStatus) =>
+        onProgressUpdate(data)
+      );
+
+      socketio.on('galleryImages', (data: ServerGalleryImages) =>
+        onGalleryImages(data)
+      );
+
+      socketio.on('processingCanceled', () => {
+        onProcessingCanceled();
+      });
+
+      socketio.on('imageDeleted', (data: ServerImageUrlAndUuid) => {
+        onImageDeleted(data);
+      });
+
+      socketio.on('initialImageUploaded', (data: ServerImageUrl) => {
+        onInitialImageUploaded(data);
+      });
+
+      socketio.on('maskImageUploaded', (data: ServerImageUrl) => {
+        onMaskImageUploaded(data);
+      });
+
+      areListenersSet = true;
+    }
+
+    /**
+     * Handle redux actions caught by middleware.
+     */
+    switch (action.type) {
+      case 'socketio/generateImage': {
+        emitGenerateImage();
+        break;
+      }
+
+      case 'socketio/runESRGAN': {
+        emitRunESRGAN(action.payload);
+        break;
+      }
+
+      case 'socketio/runGFPGAN': {
+        emitRunGFPGAN(action.payload);
+        break;
+      }
+
+      case 'socketio/deleteImage': {
+        emitDeleteImage(action.payload);
+        break;
+      }
+
+      case 'socketio/requestAllImages': {
+        emitRequestAllImages();
+        break;
+      }
+
+      case 'socketio/cancelProcessing': {
+        emitCancelProcessing();
+        break;
+      }
+
+      case 'socketio/uploadInitialImage': {
+        emitUploadInitialImage(action.payload);
+        break;
+      }
+
+      case 'socketio/uploadMaskImage': {
+        emitUploadMaskImage(action.payload);
+        break;
+      }
+    }
+
+    next(action);
+  };
+
+  return middleware;
+};
diff --git a/frontend/src/app/socketio/types.d.ts b/frontend/src/app/socketio/types.d.ts
new file mode 100644
index 0000000000..01796530eb
--- /dev/null
+++ b/frontend/src/app/socketio/types.d.ts
@@ -0,0 +1,46 @@
+/**
+ * Interfaces used by the socketio middleware.
+ */
+
+export declare interface ServerGenerationResult {
+  url: string;
+  metadata: { [key: string]: any };
+}
+
+export declare interface ServerESRGANResult {
+  url: string;
+  uuid: string;
+  metadata: { [key: string]: any };
+}
+
+export declare interface ServerGFPGANResult {
+  url: string;
+  uuid: string;
+  metadata: { [key: string]: any };
+}
+
+export declare interface ServerIntermediateResult {
+  url: string;
+  metadata: { [key: string]: any };
+}
+
+export declare interface ServerError {
+  message: string;
+  additionalData?: string;
+}
+
+export declare interface ServerGalleryImages {
+  images: Array<{
+    path: string;
+    metadata: { [key: string]: any };
+  }>;
+}
+
+export declare interface ServerImageUrlAndUuid {
+  uuid: string;
+  url: string;
+}
+
+export declare interface ServerImageUrl {
+  url: string;
+}
diff --git a/frontend/src/app/store.ts b/frontend/src/app/store.ts
index 23534d944a..1e00b0cf14 100644
--- a/frontend/src/app/store.ts
+++ b/frontend/src/app/store.ts
@@ -1,53 +1,78 @@
 import { combineReducers, configureStore } from '@reduxjs/toolkit';
+import { useDispatch, useSelector } from 'react-redux';
+import type { TypedUseSelectorHook } from 'react-redux';
+
 import { persistReducer } from 'redux-persist';
 import storage from 'redux-persist/lib/storage'; // defaults to localStorage for web
 
 import sdReducer from '../features/sd/sdSlice';
 import galleryReducer from '../features/gallery/gallerySlice';
 import systemReducer from '../features/system/systemSlice';
-import { socketioMiddleware } from './socketio';
+import { socketioMiddleware } from './socketio/middleware';
+
+/**
+ * redux-persist provides an easy and reliable way to persist state across reloads.
+ *
+ * While we definitely want generation parameters to be persisted, there are a number
+ * of things we do *not* want to be persisted across reloads:
+ *   - Gallery/selected image (user may add/delete images from disk between page loads)
+ *   - Connection/processing status
+ *   - Availability of external libraries like ESRGAN/GFPGAN
+ *
+ * These can be blacklisted in redux-persist.
+ *
+ * The necesssary nested persistors with blacklists are configured below.
+ *
+ * TODO: Do we blacklist initialImagePath? If the image is deleted from disk we get an
+ * ugly 404. But if we blacklist it, then this is a valuable parameter that is lost
+ * on reload. Need to figure out a good way to handle this.
+ */
+
+const rootPersistConfig = {
+  key: 'root',
+  storage,
+  blacklist: ['gallery', 'system'],
+};
+
+const systemPersistConfig = {
+  key: 'system',
+  storage,
+  blacklist: [
+    'isConnected',
+    'isProcessing',
+    'currentStep',
+    'socketId',
+    'isESRGANAvailable',
+    'isGFPGANAvailable',
+    'currentStep',
+    'totalSteps',
+    'currentIteration',
+    'totalIterations',
+    'currentStatus',
+  ],
+};
 
 const reducers = combineReducers({
   sd: sdReducer,
   gallery: galleryReducer,
-  system: systemReducer,
+  system: persistReducer(systemPersistConfig, systemReducer),
 });
 
-const persistConfig = {
-  key: 'root',
-  storage,
-};
-
-const persistedReducer = persistReducer(persistConfig, reducers);
-
-/*
-  The frontend needs to be distributed as a production build, so
-  we cannot reasonably ask users to edit the JS and specify the
-  host and port on which the socket.io server will run.
-
-  The solution is to allow server script to be run with arguments
-  (or just edited) providing the host and port. Then, the server
-  serves a route `/socketio_config` which responds with the host
-  and port.
-
-  When the frontend loads, it synchronously requests that route
-  and thus gets the host and port. This requires a suspicious
-  fetch somewhere, and the store setup seems like as good a place
-  as any to make this fetch request.
-*/
-
+const persistedReducer = persistReducer(rootPersistConfig, reducers);
 
 // Continue with store setup
 export const store = configureStore({
   reducer: persistedReducer,
   middleware: (getDefaultMiddleware) =>
     getDefaultMiddleware({
-      // redux-persist sometimes needs to have a function in redux, need to disable this check
+      // redux-persist sometimes needs to temporarily put a function in redux state, need to disable this check
       serializableCheck: false,
     }).concat(socketioMiddleware()),
 });
 
-// Infer the `RootState` and `AppDispatch` types from the store itself
 export type RootState = ReturnType<typeof store.getState>;
-// Inferred type: {posts: PostsState, comments: CommentsState, users: UsersState}
 export type AppDispatch = typeof store.dispatch;
+
+// Use throughout your app instead of plain `useDispatch` and `useSelector`
+export const useAppDispatch: () => AppDispatch = useDispatch;
+export const useAppSelector: TypedUseSelectorHook<RootState> = useSelector;
diff --git a/frontend/src/app/wip_types.ts b/frontend/src/app/wip_types.ts
new file mode 100644
index 0000000000..bc710404bf
--- /dev/null
+++ b/frontend/src/app/wip_types.ts
@@ -0,0 +1,171 @@
+
+/**
+ * Defines common parameters required to generate an image.
+ * See #266 for the eventual maturation of this interface.
+ */
+interface CommonParameters {
+  /**
+   * The "txt2img" prompt. String. Minimum one character. No maximum.
+   */
+  prompt: string;
+  /**
+   * The number of sampler steps. Integer. Minimum value 1. No maximum.
+   */
+  steps: number;
+  /**
+   * Classifier-free guidance scale. Float. Minimum value 0. Maximum?
+   */
+  cfgScale: number;
+  /**
+   * Height of output image in pixels. Integer. Minimum 64. Must be multiple of 64. No maximum.
+   */
+  height: number;
+  /**
+   * Width of output image in pixels. Integer. Minimum 64. Must be multiple of 64. No maximum.
+   */
+  width: number;
+  /**
+   * Name of the sampler to use. String. Restricted values.
+   */
+  sampler:
+    | 'ddim'
+    | 'plms'
+    | 'k_lms'
+    | 'k_dpm_2'
+    | 'k_dpm_2_a'
+    | 'k_euler'
+    | 'k_euler_a'
+    | 'k_heun';
+  /**
+   * Seed used for randomness. Integer. 0 --> 4294967295, inclusive.
+   */
+  seed: number;
+  /**
+   * Flag to enable seamless tiling image generation. Boolean.
+   */
+  seamless: boolean;
+}
+
+/**
+ * Defines parameters needed to use the "img2img" generation method.
+ */
+interface ImageToImageParameters {
+  /**
+   * Folder path to the image used as the initial image. String.
+   */
+  initialImagePath: string;
+  /**
+   * Flag to enable the use of a mask image during "img2img" generations.
+   * Requires valid ImageToImageParameters. Boolean.
+   */
+  shouldUseMaskImage: boolean;
+  /**
+   * Folder path to the image used as a mask image. String.
+   */
+  maskImagePath: string;
+  /**
+   * Strength of adherance to initial image. Float. 0 --> 1, exclusive.
+   */
+  img2imgStrength: number;
+  /**
+   * Flag to enable the stretching of init image to desired output. Boolean.
+   */
+  shouldFit: boolean;
+}
+
+/**
+ * Defines the parameters needed to generate variations.
+ */
+interface VariationParameters {
+  /**
+   * Variation amount. Float. 0 --> 1, exclusive.
+   * TODO: What does this really do?
+   */
+  variationAmount: number;
+  /**
+   * List of seed-weight pairs formatted as "seed:weight,...".
+   * Seed is a valid seed. Weight is a float, 0 --> 1, exclusive.
+   * String, must be parseable into [[seed,weight],...] format.
+   */
+  seedWeights: string;
+}
+
+/**
+ * Defines the parameters needed to use GFPGAN postprocessing.
+ */
+interface GFPGANParameters {
+  /**
+   * GFPGAN strength. Strength to apply face-fixing processing. Float. 0 --> 1, exclusive.
+   */
+  gfpganStrength: number;
+}
+
+/**
+ * Defines the parameters needed to use ESRGAN postprocessing.
+ */
+interface ESRGANParameters {
+  /**
+   * ESRGAN strength. Strength to apply upscaling. Float. 0 --> 1, exclusive.
+   */
+  esrganStrength: number;
+  /**
+   * ESRGAN upscaling scale. One of 2x | 4x. Represented as integer.
+   */
+  esrganScale: 2 | 4;
+}
+
+/**
+ * Extends the generation and processing method parameters, adding flags to enable each.
+ */
+interface ProcessingParameters extends CommonParameters {
+  /**
+   * Flag to enable the generation of variations. Requires valid VariationParameters. Boolean.
+   */
+  shouldGenerateVariations: boolean;
+  /**
+   * Variation parameters.
+   */
+  variationParameters: VariationParameters;
+  /**
+   * Flag to enable the use of an initial image, i.e. to use "img2img" generation.
+   * Requires valid ImageToImageParameters. Boolean.
+   */
+  shouldUseImageToImage: boolean;
+  /**
+   * ImageToImage parameters.
+   */
+  imageToImageParameters: ImageToImageParameters;
+  /**
+   * Flag to enable GFPGAN postprocessing. Requires valid GFPGANParameters. Boolean.
+   */
+  shouldRunGFPGAN: boolean;
+  /**
+   * GFPGAN parameters.
+   */
+  gfpganParameters: GFPGANParameters;
+  /**
+   * Flag to enable ESRGAN postprocessing. Requires valid ESRGANParameters. Boolean.
+   */
+  shouldRunESRGAN: boolean;
+  /**
+   * ESRGAN parameters.
+   */
+  esrganParameters: GFPGANParameters;
+}
+
+/**
+ * Extends ProcessingParameters, adding items needed to request processing.
+ */
+interface ProcessingState extends ProcessingParameters {
+  /**
+   * Number of images to generate. Integer. Minimum 1.
+   */
+  iterations: number;
+  /**
+   * Flag to enable the randomization of the seed on each generation. Boolean.
+   */
+  shouldRandomizeSeed: boolean;
+}
+
+
+export {}
diff --git a/frontend/src/components/SDButton.tsx b/frontend/src/common/components/SDButton.tsx
similarity index 100%
rename from frontend/src/components/SDButton.tsx
rename to frontend/src/common/components/SDButton.tsx
diff --git a/frontend/src/components/SDNumberInput.tsx b/frontend/src/common/components/SDNumberInput.tsx
similarity index 100%
rename from frontend/src/components/SDNumberInput.tsx
rename to frontend/src/common/components/SDNumberInput.tsx
diff --git a/frontend/src/components/SDSelect.tsx b/frontend/src/common/components/SDSelect.tsx
similarity index 100%
rename from frontend/src/components/SDSelect.tsx
rename to frontend/src/common/components/SDSelect.tsx
diff --git a/frontend/src/components/SDSwitch.tsx b/frontend/src/common/components/SDSwitch.tsx
similarity index 100%
rename from frontend/src/components/SDSwitch.tsx
rename to frontend/src/common/components/SDSwitch.tsx
diff --git a/frontend/src/features/system/useCheckParameters.ts b/frontend/src/common/hooks/useCheckParameters.ts
similarity index 90%
rename from frontend/src/features/system/useCheckParameters.ts
rename to frontend/src/common/hooks/useCheckParameters.ts
index cd55c351a3..4631b8c442 100644
--- a/frontend/src/features/system/useCheckParameters.ts
+++ b/frontend/src/common/hooks/useCheckParameters.ts
@@ -1,11 +1,11 @@
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { useMemo } from 'react';
-import { useAppSelector } from '../../app/hooks';
+import { useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
-import { SDState } from '../sd/sdSlice';
-import { validateSeedWeights } from '../sd/util/seedWeightPairs';
-import { SystemState } from './systemSlice';
+import { SDState } from '../../features/sd/sdSlice';
+import { SystemState } from '../../features/system/systemSlice';
+import { validateSeedWeights } from '../util/seedWeightPairs';
 
 const sdSelector = createSelector(
   (state: RootState) => state.sd,
diff --git a/frontend/src/app/parameterTranslation.ts b/frontend/src/common/util/parameterTranslation.ts
similarity index 91%
rename from frontend/src/app/parameterTranslation.ts
rename to frontend/src/common/util/parameterTranslation.ts
index a8d7d65c07..d8c766cb12 100644
--- a/frontend/src/app/parameterTranslation.ts
+++ b/frontend/src/common/util/parameterTranslation.ts
@@ -1,17 +1,15 @@
-import { SDState } from '../features/sd/sdSlice';
-import randomInt from '../features/sd/util/randomInt';
-import {
-    seedWeightsToString,
-    stringToSeedWeights,
-} from '../features/sd/util/seedWeightPairs';
-import { SystemState } from '../features/system/systemSlice';
-import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from './constants';
 
 /*
     These functions translate frontend state into parameters
     suitable for consumption by the backend, and vice-versa.
 */
 
+import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from "../../app/constants";
+import { SDState } from "../../features/sd/sdSlice";
+import { SystemState } from "../../features/system/systemSlice";
+import randomInt from "./randomInt";
+import { seedWeightsToString, stringToSeedWeights } from "./seedWeightPairs";
+
 export const frontendToBackendParameters = (
     sdState: SDState,
     systemState: SystemState
@@ -77,7 +75,7 @@ export const frontendToBackendParameters = (
                 stringToSeedWeights(seedWeights);
         }
     } else {
-        generationParameters.variation_amount = 0.1;
+        generationParameters.variation_amount = 0;
     }
 
     let esrganParameters: false | { [k: string]: any } = false;
@@ -96,6 +94,8 @@ export const frontendToBackendParameters = (
         };
     }
 
+    console.log(generationParameters)
+
     return {
         generationParameters,
         esrganParameters,
diff --git a/frontend/src/features/sd/util/randomInt.ts b/frontend/src/common/util/randomInt.ts
similarity index 100%
rename from frontend/src/features/sd/util/randomInt.ts
rename to frontend/src/common/util/randomInt.ts
diff --git a/frontend/src/features/sd/util/seedWeightPairs.ts b/frontend/src/common/util/seedWeightPairs.ts
similarity index 100%
rename from frontend/src/features/sd/util/seedWeightPairs.ts
rename to frontend/src/common/util/seedWeightPairs.ts
diff --git a/frontend/src/features/gallery/CurrentImageButtons.tsx b/frontend/src/features/gallery/CurrentImageButtons.tsx
index 3da4f30a80..b661bd7e60 100644
--- a/frontend/src/features/gallery/CurrentImageButtons.tsx
+++ b/frontend/src/features/gallery/CurrentImageButtons.tsx
@@ -1,14 +1,14 @@
 import { Flex } from '@chakra-ui/react';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
 import { setAllParameters, setInitialImagePath, setSeed } from '../sd/sdSlice';
 import DeleteImageModal from './DeleteImageModal';
-import SDButton from '../../components/SDButton';
-import { runESRGAN, runGFPGAN } from '../../app/socketio';
 import { createSelector } from '@reduxjs/toolkit';
 import { SystemState } from '../system/systemSlice';
 import { isEqual } from 'lodash';
 import { SDImage } from './gallerySlice';
+import SDButton from '../../common/components/SDButton';
+import { runESRGAN, runGFPGAN } from '../../app/socketio/actions';
 
 const systemSelector = createSelector(
   (state: RootState) => state.system,
diff --git a/frontend/src/features/gallery/CurrentImageDisplay.tsx b/frontend/src/features/gallery/CurrentImageDisplay.tsx
index 98fa174239..88b19f865b 100644
--- a/frontend/src/features/gallery/CurrentImageDisplay.tsx
+++ b/frontend/src/features/gallery/CurrentImageDisplay.tsx
@@ -1,5 +1,5 @@
 import { Center, Flex, Image, Text, useColorModeValue } from '@chakra-ui/react';
-import { useAppSelector } from '../../app/hooks';
+import { useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
 import { useState } from 'react';
 import ImageMetadataViewer from './ImageMetadataViewer';
diff --git a/frontend/src/features/gallery/DeleteImageModal.tsx b/frontend/src/features/gallery/DeleteImageModal.tsx
index 7b6bc7103a..a8573794b8 100644
--- a/frontend/src/features/gallery/DeleteImageModal.tsx
+++ b/frontend/src/features/gallery/DeleteImageModal.tsx
@@ -21,8 +21,8 @@ import {
   SyntheticEvent,
   useRef,
 } from 'react';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
-import { deleteImage } from '../../app/socketio';
+import { useAppDispatch, useAppSelector } from '../../app/store';
+import { deleteImage } from '../../app/socketio/actions';
 import { RootState } from '../../app/store';
 import { setShouldConfirmOnDelete, SystemState } from '../system/systemSlice';
 import { SDImage } from './gallerySlice';
diff --git a/frontend/src/features/gallery/HoverableImage.tsx b/frontend/src/features/gallery/HoverableImage.tsx
index 9733d3064d..11bd1e077a 100644
--- a/frontend/src/features/gallery/HoverableImage.tsx
+++ b/frontend/src/features/gallery/HoverableImage.tsx
@@ -6,7 +6,7 @@ import {
   Image,
   useColorModeValue,
 } from '@chakra-ui/react';
-import { useAppDispatch } from '../../app/hooks';
+import { useAppDispatch } from '../../app/store';
 import { SDImage, setCurrentImage } from './gallerySlice';
 import { FaCheck, FaCopy, FaSeedling, FaTrash } from 'react-icons/fa';
 import DeleteImageModal from './DeleteImageModal';
diff --git a/frontend/src/features/gallery/ImageGallery.tsx b/frontend/src/features/gallery/ImageGallery.tsx
index 907303784d..cdc45aedc0 100644
--- a/frontend/src/features/gallery/ImageGallery.tsx
+++ b/frontend/src/features/gallery/ImageGallery.tsx
@@ -1,6 +1,6 @@
-import { Flex } from '@chakra-ui/react';
+import { Center, Flex, Text } from '@chakra-ui/react';
 import { RootState } from '../../app/store';
-import { useAppSelector } from '../../app/hooks';
+import { useAppSelector } from '../../app/store';
 import HoverableImage from './HoverableImage';
 
 /**
@@ -19,7 +19,7 @@ const ImageGallery = () => {
    * TODO: Refactor if performance complaints, or after migrating to new API which supports pagination.
    */
 
-  return (
+  return images.length ? (
     <Flex gap={2} wrap="wrap" pb={2}>
       {[...images].reverse().map((image) => {
         const { uuid } = image;
@@ -29,6 +29,10 @@ const ImageGallery = () => {
         );
       })}
     </Flex>
+  ) : (
+    <Center height={'100%'} position={'relative'}>
+      <Text size={'xl'}>No images in gallery</Text>
+    </Center>
   );
 };
 
diff --git a/frontend/src/features/gallery/ImageMetadataViewer.tsx b/frontend/src/features/gallery/ImageMetadataViewer.tsx
index bf5f2e5f9d..1d34c5b2bf 100644
--- a/frontend/src/features/gallery/ImageMetadataViewer.tsx
+++ b/frontend/src/features/gallery/ImageMetadataViewer.tsx
@@ -10,8 +10,8 @@ import {
 import { memo } from 'react';
 import { FaPlus } from 'react-icons/fa';
 import { PARAMETERS } from '../../app/constants';
-import { useAppDispatch } from '../../app/hooks';
-import SDButton from '../../components/SDButton';
+import { useAppDispatch } from '../../app/store';
+import SDButton from '../../common/components/SDButton';
 import { setAllParameters, setParameter } from '../sd/sdSlice';
 import { SDImage, SDMetadata } from './gallerySlice';
 
diff --git a/frontend/src/features/gallery/gallerySlice.ts b/frontend/src/features/gallery/gallerySlice.ts
index 3c7611724f..53912ef9e9 100644
--- a/frontend/src/features/gallery/gallerySlice.ts
+++ b/frontend/src/features/gallery/gallerySlice.ts
@@ -1,8 +1,7 @@
 import { createSlice } from '@reduxjs/toolkit';
 import type { PayloadAction } from '@reduxjs/toolkit';
-import { v4 as uuidv4 } from 'uuid';
 import { UpscalingLevel } from '../sd/sdSlice';
-import { backendToFrontendParameters } from '../../app/parameterTranslation';
+import { clamp } from 'lodash';
 
 // TODO: Revise pending metadata RFC: https://github.com/lstein/stable-diffusion/issues/266
 export interface SDMetadata {
@@ -50,29 +49,48 @@ export const gallerySlice = createSlice({
       state.currentImage = action.payload;
       state.currentImageUuid = action.payload.uuid;
     },
-    removeImage: (state, action: PayloadAction<SDImage>) => {
-      const { uuid } = action.payload;
+    removeImage: (state, action: PayloadAction<string>) => {
+      const uuid = action.payload;
 
       const newImages = state.images.filter((image) => image.uuid !== uuid);
 
-      const imageToDeleteIndex = state.images.findIndex(
-        (image) => image.uuid === uuid
-      );
+      if (uuid === state.currentImageUuid) {
+        /**
+         * We are deleting the currently selected image.
+         *
+         * We want the new currentl selected image to be under the cursor in the
+         * gallery, so we need to do some fanagling. The currently selected image
+         * is set by its UUID, not its index in the image list.
+         *
+         * Get the currently selected image's index.
+         */
+        const imageToDeleteIndex = state.images.findIndex(
+          (image) => image.uuid === uuid
+        );
 
-      const newCurrentImageIndex = Math.min(
-        Math.max(imageToDeleteIndex, 0),
-        newImages.length - 1
-      );
+        /**
+         * New current image needs to be in the same spot, but because the gallery
+         * is sorted in reverse order, the new current image's index will actuall be
+         * one less than the deleted image's index.
+         *
+         * Clamp the new index to ensure it is valid..
+         */
+        const newCurrentImageIndex = clamp(
+          imageToDeleteIndex - 1,
+          0,
+          newImages.length - 1
+        );
+
+        state.currentImage = newImages.length
+          ? newImages[newCurrentImageIndex]
+          : undefined;
+
+        state.currentImageUuid = newImages.length
+          ? newImages[newCurrentImageIndex].uuid
+          : '';
+      }
 
       state.images = newImages;
-
-      state.currentImage = newImages.length
-        ? newImages[newCurrentImageIndex]
-        : undefined;
-
-      state.currentImageUuid = newImages.length
-        ? newImages[newCurrentImageIndex].uuid
-        : '';
     },
     addImage: (state, action: PayloadAction<SDImage>) => {
       state.images.push(action.payload);
@@ -86,47 +104,13 @@ export const gallerySlice = createSlice({
     clearIntermediateImage: (state) => {
       state.intermediateImage = undefined;
     },
-    setGalleryImages: (
-      state,
-      action: PayloadAction<
-        Array<{
-          path: string;
-          metadata: { [key: string]: string | number | boolean };
-        }>
-      >
-    ) => {
-      // TODO: Revise pending metadata RFC: https://github.com/lstein/stable-diffusion/issues/266
-      const images = action.payload;
-
-      if (images.length === 0) {
-        // there are no images on disk, clear the gallery
-        state.images = [];
-        state.currentImageUuid = '';
-        state.currentImage = undefined;
-      } else {
-        // Filter image urls that are already in the rehydrated state
-        const filteredImages = action.payload.filter(
-          (image) => !state.images.find((i) => i.url === image.path)
-        );
-
-        const preparedImages = filteredImages.map((image): SDImage => {
-          return {
-            uuid: uuidv4(),
-            url: image.path,
-            metadata: backendToFrontendParameters(image.metadata),
-          };
-        });
-
-        const newImages = [...state.images].concat(preparedImages);
-
-        // if previous currentimage no longer exists, set a new one
-        if (!newImages.find((image) => image.uuid === state.currentImageUuid)) {
-          const newCurrentImage = newImages[newImages.length - 1];
-          state.currentImage = newCurrentImage;
-          state.currentImageUuid = newCurrentImage.uuid;
-        }
-
+    setGalleryImages: (state, action: PayloadAction<Array<SDImage>>) => {
+      const newImages = action.payload;
+      if (newImages.length) {
+        const newCurrentImage = newImages[newImages.length - 1];
         state.images = newImages;
+        state.currentImage = newCurrentImage;
+        state.currentImageUuid = newCurrentImage.uuid;
       }
     },
   },
diff --git a/frontend/src/features/header/ProgressBar.tsx b/frontend/src/features/header/ProgressBar.tsx
index 28d7b44c63..374f45a6f7 100644
--- a/frontend/src/features/header/ProgressBar.tsx
+++ b/frontend/src/features/header/ProgressBar.tsx
@@ -1,35 +1,38 @@
 import { Progress } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
-import { useAppSelector } from '../../app/hooks';
+import { useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
-import { SDState } from '../sd/sdSlice';
+import { SystemState } from '../system/systemSlice';
 
-const sdSelector = createSelector(
-    (state: RootState) => state.sd,
-    (sd: SDState) => {
-        return {
-            realSteps: sd.realSteps,
-        };
-    },
-    {
-        memoizeOptions: {
-            resultEqualityCheck: isEqual,
-        },
-    }
+const systemSelector = createSelector(
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    return {
+      isProcessing: system.isProcessing,
+      currentStep: system.currentStep,
+      totalSteps: system.totalSteps,
+      currentStatusHasSteps: system.currentStatusHasSteps,
+    };
+  },
+  {
+    memoizeOptions: { resultEqualityCheck: isEqual },
+  }
 );
 
 const ProgressBar = () => {
-    const { realSteps } = useAppSelector(sdSelector);
-    const { currentStep } = useAppSelector((state: RootState) => state.system);
-    const progress = Math.round((currentStep * 100) / realSteps);
-    return (
-        <Progress
-            height='10px'
-            value={progress}
-            isIndeterminate={progress < 0 || currentStep === realSteps}
-        />
-    );
+  const { isProcessing, currentStep, totalSteps, currentStatusHasSteps } =
+    useAppSelector(systemSelector);
+
+  const value = currentStep ? Math.round((currentStep * 100) / totalSteps) : 0;
+
+  return (
+    <Progress
+      height="10px"
+      value={value}
+      isIndeterminate={isProcessing && !currentStatusHasSteps}
+    />
+  );
 };
 
 export default ProgressBar;
diff --git a/frontend/src/features/header/SiteHeader.tsx b/frontend/src/features/header/SiteHeader.tsx
index 2ece1378c6..df8ed4f88e 100644
--- a/frontend/src/features/header/SiteHeader.tsx
+++ b/frontend/src/features/header/SiteHeader.tsx
@@ -12,15 +12,20 @@ import { isEqual } from 'lodash';
 
 import { FaSun, FaMoon, FaGithub } from 'react-icons/fa';
 import { MdHelp, MdSettings } from 'react-icons/md';
-import { useAppSelector } from '../../app/hooks';
+import { useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
 import SettingsModal from '../system/SettingsModal';
 import { SystemState } from '../system/systemSlice';
-
 const systemSelector = createSelector(
   (state: RootState) => state.system,
   (system: SystemState) => {
-    return { isConnected: system.isConnected };
+    return {
+      isConnected: system.isConnected,
+      isProcessing: system.isProcessing,
+      currentIteration: system.currentIteration,
+      totalIterations: system.totalIterations,
+      currentStatus: system.currentStatus,
+    };
   },
   {
     memoizeOptions: { resultEqualityCheck: isEqual },
@@ -32,11 +37,13 @@ const systemSelector = createSelector(
  */
 const SiteHeader = () => {
   const { colorMode, toggleColorMode } = useColorMode();
-  const { isConnected } = useAppSelector(systemSelector);
-
-  const statusMessage = isConnected
-    ? `Connected to server`
-    : 'No connection to server';
+  const {
+    isConnected,
+    isProcessing,
+    currentIteration,
+    totalIterations,
+    currentStatus,
+  } = useAppSelector(systemSelector);
 
   const statusMessageTextColor = isConnected ? 'green.500' : 'red.500';
 
@@ -45,6 +52,14 @@ const SiteHeader = () => {
   // Make FaMoon and FaSun icon apparent size consistent
   const colorModeIconFontSize = colorMode == 'light' ? 18 : 20;
 
+  let statusMessage = currentStatus;
+
+  if (isProcessing) {
+    if (totalIterations > 1) {
+      statusMessage += ` [${currentIteration}/${totalIterations}]`;
+    }
+  }
+
   return (
     <Flex minWidth="max-content" alignItems="center" gap="1" pl={2} pr={1}>
       <Heading size={'lg'}>Stable Diffusion Dream Server</Heading>
diff --git a/frontend/src/features/sd/ESRGANOptions.tsx b/frontend/src/features/sd/ESRGANOptions.tsx
index b46632577e..475f0de8bc 100644
--- a/frontend/src/features/sd/ESRGANOptions.tsx
+++ b/frontend/src/features/sd/ESRGANOptions.tsx
@@ -1,7 +1,7 @@
 import { Flex } from '@chakra-ui/react';
 
 import { RootState } from '../../app/store';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 
 import {
   setUpscalingLevel,
@@ -10,14 +10,14 @@ import {
   SDState,
 } from '../sd/sdSlice';
 
-import SDNumberInput from '../../components/SDNumberInput';
-import SDSelect from '../../components/SDSelect';
 
 import { UPSCALING_LEVELS } from '../../app/constants';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { SystemState } from '../system/systemSlice';
 import { ChangeEvent } from 'react';
+import SDNumberInput from '../../common/components/SDNumberInput';
+import SDSelect from '../../common/components/SDSelect';
 
 const sdSelector = createSelector(
   (state: RootState) => state.sd,
diff --git a/frontend/src/features/sd/GFPGANOptions.tsx b/frontend/src/features/sd/GFPGANOptions.tsx
index ba44d9671b..6af6f26aca 100644
--- a/frontend/src/features/sd/GFPGANOptions.tsx
+++ b/frontend/src/features/sd/GFPGANOptions.tsx
@@ -1,15 +1,15 @@
 import { Flex } from '@chakra-ui/react';
 
 import { RootState } from '../../app/store';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 
 import { SDState, setGfpganStrength } from '../sd/sdSlice';
 
-import SDNumberInput from '../../components/SDNumberInput';
 
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { SystemState } from '../system/systemSlice';
+import SDNumberInput from '../../common/components/SDNumberInput';
 
 const sdSelector = createSelector(
   (state: RootState) => state.sd,
diff --git a/frontend/src/features/sd/ImageToImageOptions.tsx b/frontend/src/features/sd/ImageToImageOptions.tsx
index 2576144a93..044f353b22 100644
--- a/frontend/src/features/sd/ImageToImageOptions.tsx
+++ b/frontend/src/features/sd/ImageToImageOptions.tsx
@@ -1,10 +1,10 @@
 import { Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { ChangeEvent } from 'react';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
-import SDNumberInput from '../../components/SDNumberInput';
-import SDSwitch from '../../components/SDSwitch';
+import SDNumberInput from '../../common/components/SDNumberInput';
+import SDSwitch from '../../common/components/SDSwitch';
 import InitAndMaskImage from './InitAndMaskImage';
 import {
   SDState,
diff --git a/frontend/src/features/sd/InitAndMaskImage.tsx b/frontend/src/features/sd/InitAndMaskImage.tsx
index dd4caaa3cb..391a13c730 100644
--- a/frontend/src/features/sd/InitAndMaskImage.tsx
+++ b/frontend/src/features/sd/InitAndMaskImage.tsx
@@ -1,6 +1,6 @@
 import { Flex, Image } from '@chakra-ui/react';
 import { useState } from 'react';
-import { useAppSelector } from '../../app/hooks';
+import { useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
 import { SDState } from '../../features/sd/sdSlice';
 import './InitAndMaskImage.css';
diff --git a/frontend/src/features/sd/InitAndMaskUploadButtons.tsx b/frontend/src/features/sd/InitAndMaskUploadButtons.tsx
index 6ccffa04b3..1eb2055a02 100644
--- a/frontend/src/features/sd/InitAndMaskUploadButtons.tsx
+++ b/frontend/src/features/sd/InitAndMaskUploadButtons.tsx
@@ -1,14 +1,14 @@
 import { Button, Flex, IconButton, useToast } from '@chakra-ui/react';
 import { SyntheticEvent, useCallback } from 'react';
 import { FaTrash } from 'react-icons/fa';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
 import {
   SDState,
   setInitialImagePath,
   setMaskPath,
 } from '../../features/sd/sdSlice';
-import { uploadInitialImage, uploadMaskImage } from '../../app/socketio';
+import { uploadInitialImage, uploadMaskImage } from '../../app/socketio/actions';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import ImageUploader from './ImageUploader';
diff --git a/frontend/src/features/sd/OptionsAccordion.tsx b/frontend/src/features/sd/OptionsAccordion.tsx
index 2d3f8f1871..5d85a1fd75 100644
--- a/frontend/src/features/sd/OptionsAccordion.tsx
+++ b/frontend/src/features/sd/OptionsAccordion.tsx
@@ -12,7 +12,7 @@ import {
 } from '@chakra-ui/react';
 
 import { RootState } from '../../app/store';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 
 import {
   setShouldRunGFPGAN,
diff --git a/frontend/src/features/sd/OutputOptions.tsx b/frontend/src/features/sd/OutputOptions.tsx
index 9c86d00d0e..a58c1fd230 100644
--- a/frontend/src/features/sd/OutputOptions.tsx
+++ b/frontend/src/features/sd/OutputOptions.tsx
@@ -1,17 +1,17 @@
 import { Flex } from '@chakra-ui/react';
 
 import { RootState } from '../../app/store';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 
 import { setHeight, setWidth, setSeamless, SDState } from '../sd/sdSlice';
 
-import SDSelect from '../../components/SDSelect';
 
 import { HEIGHTS, WIDTHS } from '../../app/constants';
-import SDSwitch from '../../components/SDSwitch';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { ChangeEvent } from 'react';
+import SDSelect from '../../common/components/SDSelect';
+import SDSwitch from '../../common/components/SDSwitch';
 
 const sdSelector = createSelector(
   (state: RootState) => state.sd,
diff --git a/frontend/src/features/sd/ProcessButtons.tsx b/frontend/src/features/sd/ProcessButtons.tsx
index 6ec74df14e..d1960d3271 100644
--- a/frontend/src/features/sd/ProcessButtons.tsx
+++ b/frontend/src/features/sd/ProcessButtons.tsx
@@ -1,12 +1,12 @@
 import { Flex } from '@chakra-ui/react';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
-import { cancelProcessing, generateImage } from '../../app/socketio';
+import { useAppDispatch, useAppSelector } from '../../app/store';
+import { cancelProcessing, generateImage } from '../../app/socketio/actions';
 import { RootState } from '../../app/store';
-import SDButton from '../../components/SDButton';
+import SDButton from '../../common/components/SDButton';
+import useCheckParameters from '../../common/hooks/useCheckParameters';
 import { SystemState } from '../system/systemSlice';
-import useCheckParameters from '../system/useCheckParameters';
 
 const systemSelector = createSelector(
   (state: RootState) => state.system,
diff --git a/frontend/src/features/sd/PromptInput.tsx b/frontend/src/features/sd/PromptInput.tsx
index 5e353b2484..a05714295a 100644
--- a/frontend/src/features/sd/PromptInput.tsx
+++ b/frontend/src/features/sd/PromptInput.tsx
@@ -3,7 +3,8 @@ import {
   ChangeEvent,
   KeyboardEvent,
 } from 'react';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
+import { generateImage } from '../../app/socketio/actions';
 import { RootState } from '../../app/store';
 import { setPrompt } from '../sd/sdSlice';
 
diff --git a/frontend/src/features/sd/SamplerOptions.tsx b/frontend/src/features/sd/SamplerOptions.tsx
index ee7f30be0b..76371bd035 100644
--- a/frontend/src/features/sd/SamplerOptions.tsx
+++ b/frontend/src/features/sd/SamplerOptions.tsx
@@ -1,17 +1,17 @@
 import { Flex } from '@chakra-ui/react';
 
 import { RootState } from '../../app/store';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 
 import { setCfgScale, setSampler, setSteps, SDState } from '../sd/sdSlice';
 
-import SDNumberInput from '../../components/SDNumberInput';
-import SDSelect from '../../components/SDSelect';
 
 import { SAMPLERS } from '../../app/constants';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { ChangeEvent } from 'react';
+import SDNumberInput from '../../common/components/SDNumberInput';
+import SDSelect from '../../common/components/SDSelect';
 
 const sdSelector = createSelector(
   (state: RootState) => state.sd,
diff --git a/frontend/src/features/sd/SeedVariationOptions.tsx b/frontend/src/features/sd/SeedVariationOptions.tsx
index 95cc353cb7..082ab0d46a 100644
--- a/frontend/src/features/sd/SeedVariationOptions.tsx
+++ b/frontend/src/features/sd/SeedVariationOptions.tsx
@@ -11,10 +11,12 @@ import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { ChangeEvent } from 'react';
 import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from '../../app/constants';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
-import SDNumberInput from '../../components/SDNumberInput';
-import SDSwitch from '../../components/SDSwitch';
+import SDNumberInput from '../../common/components/SDNumberInput';
+import SDSwitch from '../../common/components/SDSwitch';
+import randomInt from '../../common/util/randomInt';
+import { validateSeedWeights } from '../../common/util/seedWeightPairs';
 import {
   SDState,
   setIterations,
@@ -24,8 +26,6 @@ import {
   setShouldRandomizeSeed,
   setVariationAmount,
 } from './sdSlice';
-import randomInt from './util/randomInt';
-import { validateSeedWeights } from './util/seedWeightPairs';
 
 const sdSelector = createSelector(
   (state: RootState) => state.sd,
diff --git a/frontend/src/features/sd/sdSlice.ts b/frontend/src/features/sd/sdSlice.ts
index 6fe0153222..90c1d6efcc 100644
--- a/frontend/src/features/sd/sdSlice.ts
+++ b/frontend/src/features/sd/sdSlice.ts
@@ -2,21 +2,12 @@ import { createSlice } from '@reduxjs/toolkit';
 import type { PayloadAction } from '@reduxjs/toolkit';
 import { SDMetadata } from '../gallery/gallerySlice';
 
-const calculateRealSteps = (
-  steps: number,
-  strength: number,
-  hasInitImage: boolean
-): number => {
-  return hasInitImage ? Math.floor(strength * steps) : steps;
-};
-
 export type UpscalingLevel = 0 | 2 | 4;
 
 export interface SDState {
   prompt: string;
   iterations: number;
   steps: number;
-  realSteps: number;
   cfgScale: number;
   height: number;
   width: number;
@@ -43,7 +34,6 @@ const initialSDState: SDState = {
   prompt: '',
   iterations: 1,
   steps: 50,
-  realSteps: 50,
   cfgScale: 7.5,
   height: 512,
   width: 512,
@@ -79,14 +69,7 @@ export const sdSlice = createSlice({
       state.iterations = action.payload;
     },
     setSteps: (state, action: PayloadAction<number>) => {
-      const { img2imgStrength, initialImagePath } = state;
-      const steps = action.payload;
-      state.steps = steps;
-      state.realSteps = calculateRealSteps(
-        steps,
-        img2imgStrength,
-        Boolean(initialImagePath)
-      );
+      state.steps = action.payload;
     },
     setCfgScale: (state, action: PayloadAction<number>) => {
       state.cfgScale = action.payload;
@@ -105,14 +88,7 @@ export const sdSlice = createSlice({
       state.shouldRandomizeSeed = false;
     },
     setImg2imgStrength: (state, action: PayloadAction<number>) => {
-      const img2imgStrength = action.payload;
-      const { steps, initialImagePath } = state;
-      state.img2imgStrength = img2imgStrength;
-      state.realSteps = calculateRealSteps(
-        steps,
-        img2imgStrength,
-        Boolean(initialImagePath)
-      );
+      state.img2imgStrength = action.payload;
     },
     setGfpganStrength: (state, action: PayloadAction<number>) => {
       state.gfpganStrength = action.payload;
@@ -127,15 +103,9 @@ export const sdSlice = createSlice({
       state.shouldUseInitImage = action.payload;
     },
     setInitialImagePath: (state, action: PayloadAction<string>) => {
-      const initialImagePath = action.payload;
-      const { steps, img2imgStrength } = state;
-      state.shouldUseInitImage = initialImagePath ? true : false;
-      state.initialImagePath = initialImagePath;
-      state.realSteps = calculateRealSteps(
-        steps,
-        img2imgStrength,
-        Boolean(initialImagePath)
-      );
+      const newInitialImagePath = action.payload;
+      state.shouldUseInitImage = newInitialImagePath ? true : false;
+      state.initialImagePath = newInitialImagePath;
     },
     setMaskPath: (state, action: PayloadAction<string>) => {
       state.maskPath = action.payload;
@@ -153,6 +123,7 @@ export const sdSlice = createSlice({
       state,
       action: PayloadAction<{ key: string; value: string | number | boolean }>
     ) => {
+      // TODO: This probably needs to be refactored.
       const { key, value } = action.payload;
       const temp = { ...state, [key]: value };
       if (key === 'seed') {
@@ -173,6 +144,7 @@ export const sdSlice = createSlice({
       state.seedWeights = action.payload;
     },
     setAllParameters: (state, action: PayloadAction<SDMetadata>) => {
+      // TODO: This probably needs to be refactored.
       const {
         prompt,
         steps,
diff --git a/frontend/src/features/system/LogViewer.tsx b/frontend/src/features/system/LogViewer.tsx
index 78c5e85664..e526ebbb7c 100644
--- a/frontend/src/features/system/LogViewer.tsx
+++ b/frontend/src/features/system/LogViewer.tsx
@@ -5,7 +5,7 @@ import {
   Text,
   Tooltip,
 } from '@chakra-ui/react';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
 import { setShouldShowLogViewer, SystemState } from './systemSlice';
 import { useLayoutEffect, useRef, useState } from 'react';
@@ -44,18 +44,42 @@ const LogViewer = () => {
   const log = useAppSelector(logSelector);
   const { shouldShowLogViewer } = useAppSelector(systemSelector);
 
+  // Set colors based on dark/light mode
   const bg = useColorModeValue('gray.50', 'gray.900');
   const borderColor = useColorModeValue('gray.500', 'gray.500');
+  const logTextColors = useColorModeValue(
+    {
+      info: undefined,
+      warning: 'yellow.500',
+      error: 'red.500',
+    },
+    {
+      info: undefined,
+      warning: 'yellow.300',
+      error: 'red.300',
+    }
+  );
 
   // Rudimentary autoscroll
   const [shouldAutoscroll, setShouldAutoscroll] = useState<boolean>(true);
   const viewerRef = useRef<HTMLDivElement>(null);
 
+  /**
+   * If autoscroll is on, scroll to the bottom when:
+   * - log updates
+   * - viewer is toggled
+   *
+   * Also scroll to the bottom whenever autoscroll is turned on.
+   */
   useLayoutEffect(() => {
     if (viewerRef.current !== null && shouldAutoscroll) {
       viewerRef.current.scrollTop = viewerRef.current.scrollHeight;
     }
-  }, [shouldAutoscroll]);
+  }, [shouldAutoscroll, log, shouldShowLogViewer]);
+
+  const handleClickLogViewerToggle = () => {
+    dispatch(setShouldShowLogViewer(!shouldShowLogViewer));
+  };
 
   return (
     <>
@@ -78,16 +102,19 @@ const LogViewer = () => {
           background={bg}
           ref={viewerRef}
         >
-          {log.map((entry, i) => (
-            <Flex gap={2} key={i}>
-              <Text fontSize="sm" fontWeight={'semibold'}>
-                {entry.timestamp}:
-              </Text>
-              <Text fontSize="sm" wordBreak={'break-all'}>
-                {entry.message}
-              </Text>
-            </Flex>
-          ))}
+          {log.map((entry, i) => {
+            const { timestamp, message, level } = entry;
+            return (
+              <Flex gap={2} key={i} textColor={logTextColors[level]}>
+                <Text fontSize="sm" fontWeight={'semibold'}>
+                  {timestamp}:
+                </Text>
+                <Text fontSize="sm" wordBreak={'break-all'}>
+                  {message}
+                </Text>
+              </Flex>
+            );
+          })}
         </Flex>
       )}
       {shouldShowLogViewer && (
@@ -114,7 +141,7 @@ const LogViewer = () => {
           variant={'solid'}
           aria-label="Toggle Log Viewer"
           icon={shouldShowLogViewer ? <FaMinus /> : <FaCode />}
-          onClick={() => dispatch(setShouldShowLogViewer(!shouldShowLogViewer))}
+          onClick={handleClickLogViewerToggle}
         />
       </Tooltip>
     </>
diff --git a/frontend/src/features/system/SettingsModal.tsx b/frontend/src/features/system/SettingsModal.tsx
index 82a2c7347c..2f636dc44e 100644
--- a/frontend/src/features/system/SettingsModal.tsx
+++ b/frontend/src/features/system/SettingsModal.tsx
@@ -16,7 +16,7 @@ import {
   Text,
   useDisclosure,
 } from '@chakra-ui/react';
-import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { useAppDispatch, useAppSelector } from '../../app/store';
 import {
   setShouldConfirmOnDelete,
   setShouldDisplayInProgress,
diff --git a/frontend/src/features/system/systemSlice.ts b/frontend/src/features/system/systemSlice.ts
index f47d5efd08..3bed00b56a 100644
--- a/frontend/src/features/system/systemSlice.ts
+++ b/frontend/src/features/system/systemSlice.ts
@@ -1,10 +1,12 @@
 import { createSlice } from '@reduxjs/toolkit';
 import type { PayloadAction } from '@reduxjs/toolkit';
-import dateFormat from 'dateformat';
 import { ExpandedIndex } from '@chakra-ui/react';
 
+export type LogLevel = 'info' | 'warning' | 'error';
+
 export interface LogEntry {
   timestamp: string;
+  level: LogLevel;
   message: string;
 }
 
@@ -12,10 +14,18 @@ export interface Log {
   [index: number]: LogEntry;
 }
 
-export interface SystemState {
-  shouldDisplayInProgress: boolean;
+export interface SystemStatus {
   isProcessing: boolean;
   currentStep: number;
+  totalSteps: number;
+  currentIteration: number;
+  totalIterations: number;
+  currentStatus: string;
+  currentStatusHasSteps: boolean;
+}
+
+export interface SystemState extends SystemStatus {
+  shouldDisplayInProgress: boolean;
   log: Array<LogEntry>;
   shouldShowLogViewer: boolean;
   isGFPGANAvailable: boolean;
@@ -24,12 +34,17 @@ export interface SystemState {
   socketId: string;
   shouldConfirmOnDelete: boolean;
   openAccordions: ExpandedIndex;
+  currentStep: number;
+  totalSteps: number;
+  currentIteration: number;
+  totalIterations: number;
+  currentStatus: string;
+  currentStatusHasSteps: boolean;
 }
 
 const initialSystemState = {
   isConnected: false,
   isProcessing: false,
-  currentStep: 0,
   log: [],
   shouldShowLogViewer: false,
   shouldDisplayInProgress: false,
@@ -38,6 +53,12 @@ const initialSystemState = {
   socketId: '',
   shouldConfirmOnDelete: true,
   openAccordions: [0],
+  currentStep: 0,
+  totalSteps: 0,
+  currentIteration: 0,
+  totalIterations: 0,
+  currentStatus: '',
+  currentStatusHasSteps: false,
 };
 
 const initialState: SystemState = initialSystemState;
@@ -51,18 +72,35 @@ export const systemSlice = createSlice({
     },
     setIsProcessing: (state, action: PayloadAction<boolean>) => {
       state.isProcessing = action.payload;
-      if (action.payload === false) {
-        state.currentStep = 0;
-      }
     },
-    setCurrentStep: (state, action: PayloadAction<number>) => {
-      state.currentStep = action.payload;
+    setCurrentStatus: (state, action: PayloadAction<string>) => {
+      state.currentStatus = action.payload;
     },
-    addLogEntry: (state, action: PayloadAction<string>) => {
+    setSystemStatus: (state, action: PayloadAction<SystemStatus>) => {
+      const currentStatus =
+        !action.payload.isProcessing && state.isConnected
+          ? 'Connected'
+          : action.payload.currentStatus;
+
+      return { ...state, ...action.payload, currentStatus };
+    },
+    addLogEntry: (
+      state,
+      action: PayloadAction<{
+        timestamp: string;
+        message: string;
+        level?: LogLevel;
+      }>
+    ) => {
+      const { timestamp, message, level } = action.payload;
+      const logLevel = level || 'info';
+
       const entry: LogEntry = {
-        timestamp: dateFormat(new Date(), 'isoDateTime'),
-        message: action.payload,
+        timestamp,
+        message,
+        level: logLevel,
       };
+
       state.log.push(entry);
     },
     setShouldShowLogViewer: (state, action: PayloadAction<boolean>) => {
@@ -86,13 +124,14 @@ export const systemSlice = createSlice({
 export const {
   setShouldDisplayInProgress,
   setIsProcessing,
-  setCurrentStep,
   addLogEntry,
   setShouldShowLogViewer,
   setIsConnected,
   setSocketId,
   setShouldConfirmOnDelete,
   setOpenAccordions,
+  setSystemStatus,
+  setCurrentStatus,
 } = systemSlice.actions;
 
 export default systemSlice.reducer;
diff --git a/frontend/src/main.tsx b/frontend/src/main.tsx
index a9cf9eb75b..5593845be8 100644
--- a/frontend/src/main.tsx
+++ b/frontend/src/main.tsx
@@ -8,9 +8,9 @@ import { persistStore } from 'redux-persist';
 
 export const persistor = persistStore(store);
 
-import App from './App';
 import { theme } from './app/theme';
 import Loading from './Loading';
+import App from './app/App';
 
 ReactDOM.createRoot(document.getElementById('root') as HTMLElement).render(
   <React.StrictMode>

From 016fd65f6a0d2d98789f18438fa61220e1369a78 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 11:09:27 +0200
Subject: [PATCH 065/110] use more admonitions and introduce keys

---
 docs/features/CLI.md             | 96 +++++++++++++++++---------------
 docs/features/INPAINTING.md      |  2 +-
 docs/installation/INSTALL_MAC.md | 31 ++++++-----
 3 files changed, 68 insertions(+), 61 deletions(-)

diff --git a/docs/features/CLI.md b/docs/features/CLI.md
index 0b27095950..3b725fdf2f 100644
--- a/docs/features/CLI.md
+++ b/docs/features/CLI.md
@@ -9,16 +9,16 @@ hide:
 The `dream.py` script, located in `scripts/dream.py`, provides an interactive interface to image
 generation similar to the "dream mothership" bot that Stable AI provided on its Discord server.
 
-Unlike the txt2img.py and img2img.py scripts provided in the original CompViz/stable-diffusion
+Unlike the `txt2img.py` and `img2img.py` scripts provided in the original [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion)
 source code repository, the time-consuming initialization of the AI model initialization only
 happens once. After that image generation from the command-line interface is very fast.
 
-The script uses the readline library to allow for in-line editing, command history (up and down
-arrows), autocompletion, and more. To help keep track of which prompts generated which images, the
+The script uses the readline library to allow for in-line editing, command history (++up++ and
+++down++), autocompletion, and more. To help keep track of which prompts generated which images, the
 script writes a log file of image names and prompts to the selected output directory.
 
 In addition, as of version 1.02, it also writes the prompt into the PNG file's metadata where it can
-be retrieved using scripts/images2prompt.py
+be retrieved using `scripts/images2prompt.py`
 
 The script is confirmed to work on Linux, Windows and Mac systems.
 
@@ -55,17 +55,17 @@ dream> q
 
 The `dream>` prompt's arguments are pretty much identical to those used in the Discord bot, except
 you don't need to type "!dream" (it doesn't hurt if you do). A significant change is that creation
-of individual images is now the default unless --grid (-g) is given. A full list is given in [List
-of prompt arguments] (#list-of-prompt-arguments).
+of individual images is now the default unless `--grid` (`-g`) is given. A full list is given in [List
+of prompt arguments](#list-of-prompt-arguments).
 
 ## Arguments
 
 The script itself also recognizes a series of command-line switches that will change important
 global defaults, such as the directory for image outputs and the location of the model weight files.
 
-## List of arguments recognized at the command line
+### List of arguments recognized at the command line
 
-These command-line arguments can be passed to dream.py when you first run it from the Windows, Mac◊
+These command-line arguments can be passed to `dream.py` when you first run it from the Windows, Mac◊
 or Linux command line. Some set defaults that can be overridden on a per-prompt basis (see [List of
 prompt arguments] (#list-of-prompt-arguments). Others
 
@@ -92,7 +92,7 @@ prompt arguments] (#list-of-prompt-arguments). Others
 
 \*`experiments/pretrained_models/GFPGANv1.3.pth`
 
-### deprecated
+#### deprecated
 
 These arguments are deprecated but still work:
 
@@ -110,17 +110,19 @@ These arguments are deprecated but still work:
 
 ### List of prompt arguments
 
-After the dream.py script initializes, it will present you with a **`dream>`** prompt. Here you can
+After the `dream.py` script initializes, it will present you with a **`dream>`** prompt. Here you can
 enter information to generate images from text (txt2img), to embellish an existing image or sketch
 (img2img), or to selectively alter chosen regions of the image (inpainting).
 
-### This is an example of txt2img
+#### txt2img
 
-```bash
-dream> "waterfall and rainbow" -W640 -H480
-```
+!!! example
 
-This will create the requested image with the dimensions 640 (width) and 480 (height).
+    ```bash
+    dream> "waterfall and rainbow" -W640 -H480
+    ```
+
+    This will create the requested image with the dimensions 640 (width) and 480 (height).
 
 Those are the `dream` commands that apply to txt2img:
 
@@ -133,9 +135,9 @@ Those are the `dream` commands that apply to txt2img:
 | `--steps <int>`               | `-s<int>`         | `50`                  | How many steps of refinement to apply                                                                                                                                                                                                                         |
 | `--cfg_scale <float>`          | `-C<float>`        | `7.5`                 | How hard to try to match the prompt to the generated<br>image; any number greater than 0.0<br>works, but the useful range is roughly 5.0 to 20.0                                                                                                             |
 | `--seed <int>`                | `-S<int>`         | `None`                | Set the random seed for the next series of images.<br>This can be used to recreate an image generated previously.                                                                                                                                            |
-| `--sampler <sampler>`         | `-A<sampler>`     | `k_lms`               | Sampler to use. Use -h to get list of available samplers.                                                                                                                                                                                                    |
+| `--sampler <sampler>`         | `-A<sampler>`     | `k_lms`               | Sampler to use. Use `-h` to get list of available samplers.                                                                                                                                                                                                    |
 | `--grid`                      | `-g`              | `False`               | Turn on grid mode to return a single image combining<br>all the images generated by this prompt                                                                                                                                                              |
-| `--individual`                | `-i`              | `True`                | Turn off grid mode (deprecated; leave off --grid instead)                                                                                                                                                                                                    |
+| `--individual`                | `-i`              | `True`                | Turn off grid mode (deprecated; leave off `--grid` instead)                                                                                                                                                                                                    |
 | `--outdir <path>`             | `-o<path>`        | `outputs/img_samples` | Temporarily change the location of these images                                                                                                                                                                                                              |
 | `--seamless`                  |                   | `False`               | Activate seamless tiling for interesting effects                                                                                                                                                                                                             |
 | `--log_tokenization`          | `-t`              | `False`               | Display a color-coded list of the parsed tokens<br>derived from the prompt                                                                                                                                                                                   |
@@ -151,16 +153,18 @@ Those are the `dream` commands that apply to txt2img:
     The width and height of the image must be multiples of 64. You can provide different
     values, but they will be rounded down to the nearest multiple of 64.
 
-### This is an example of img2img
+#### img2img
 
-```bash
-dream> waterfall and rainbow -I./vacation-photo.png -W640 -H480 --fit
-```
+!!! example
 
-This will modify the indicated vacation photograph by making it more like the prompt. Results will
-vary greatly depending on what is in the image. We also ask to --fit the image into a box no bigger
-than 640x480. Otherwise the image size will be identical to the provided photo and you may run out
-of memory if it is large.
+    ```bash
+    dream> "waterfall and rainbow" -I./vacation-photo.png -W640 -H480 --fit
+    ```
+
+    This will modify the indicated vacation photograph by making it more like the prompt. Results will
+    vary greatly depending on what is in the image. We also ask to --fit the image into a box no bigger
+    than 640x480. Otherwise the image size will be identical to the provided photo and you may run out
+    of memory if it is large.
 
 In addition to the command-line options recognized by txt2img, img2img accepts additional options:
 
@@ -170,18 +174,20 @@ In addition to the command-line options recognized by txt2img, img2img accepts a
 | `--fit`              | `-F`       | `False` | Scale the image to fit into the specified -H and -W dimensions                                                                                  |
 | `--strength <float>` | `-s<float>` | `0.75`  | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99,<br>with higher values replacing the initial image completely. |
 
-### This is an example of inpainting
+#### inpainting
 
-```bash
-dream> "waterfall and rainbow" -I./vacation-photo.png -M./vacation-mask.png -W640 -H480 --fit
-```
+!!! example
 
-This will do the same thing as img2img, but image alterations will only occur within transparent
-areas defined by the mask file specified by -M. You may also supply just a single initial image with
-the areas to overpaint made transparent, but you must be careful not to destroy the pixels
-underneath when you create the transparent areas. See [Inpainting](./INPAINTING.md) for details.
+    ```bash
+    dream> "waterfall and rainbow" -I./vacation-photo.png -M./vacation-mask.png -W640 -H480 --fit
+    ```
 
-inpainting accepts all the arguments used for txt2img and img2img, as well as the --mask (-M)
+    This will do the same thing as img2img, but image alterations will only occur within transparent
+    areas defined by the mask file specified by `-M`. You may also supply just a single initial image with
+    the areas to overpaint made transparent, but you must be careful not to destroy the pixels
+    underneath when you create the transparent areas. See [Inpainting](./INPAINTING.md) for details.
+
+inpainting accepts all the arguments used for txt2img and img2img, as well as the `--mask` (`-M`)
 argument:
 
 | Argument             | Shortcut   | Default | Description                                                                                      |
@@ -193,25 +199,25 @@ argument:
 If you are on a Macintosh or Linux machine, the command-line offers convenient history tracking,
 editing, and command completion.
 
-- To scroll through previous commands and potentially edit/reuse them, use the up and down cursor
+- To scroll through previous commands and potentially edit/reuse them, use the ++up++ and ++down++ cursor
   keys.
-- To edit the current command, use the left and right cursor keys to position the cursor, and then
-  backspace, delete or insert characters.
-- To move to the very beginning of the command, type CTRL-A (or command-A on the Mac)
-- To move to the end of the command, type CTRL-E.
+- To edit the current command, use the ++left++ and ++right++ cursor keys to position the cursor, and then
+  ++backspace++, ++delete++ or ++insert++ characters.
+- To move to the very beginning of the command, type ++ctrl+a++ (or ++command+a++ on the Mac)
+- To move to the end of the command, type ++ctrl+e++.
 - To cut a section of the command, position the cursor where you want to start cutting and type
-  CTRL-K.
-- To paste a cut section back in, position the cursor where you want to paste, and type CTRL-Y
+  ++ctrl+k++.
+- To paste a cut section back in, position the cursor where you want to paste, and type ++ctrl+y++
 
-Windows users can get similar, but more limited, functionality if they launch dream.py with the
+Windows users can get similar, but more limited, functionality if they launch `dream.py` with the
 "winpty" program:
 
 ```cmd
 winpty python scripts\dream.py
 ```
 
-On the Mac and Linux platforms, when you exit dream.py, the last 1000 lines of your command-line
-history will be saved. When you restart dream.py, you can access the saved history using the
+On the Mac and Linux platforms, when you exit `dream.py`, the last 1000 lines of your command-line
+history will be saved. When you restart `dream.py`, you can access the saved history using the
 up-arrow key.
 
 In addition, limited command-line completion is installed. In various contexts, you can start typing
@@ -223,7 +229,7 @@ pathnames for you. This is most handy for the -I (init image) and -M (init mask)
 completion, start the path with a slash ("/") or "./". For example:
 
 ```bash
-dream> zebra with a mustache -I./test-pictures<TAB>
+dream> "zebra with a mustache" -I./test-pictures<TAB>
 -I./test-pictures/Lincoln-and-Parrot.png  -I./test-pictures/zebra.jpg        -I./test-pictures/madonna.png
 -I./test-pictures/bad-sketch.png          -I./test-pictures/man_with_eagle/
 ```
diff --git a/docs/features/INPAINTING.md b/docs/features/INPAINTING.md
index 85f631ac12..a6c7f53500 100644
--- a/docs/features/INPAINTING.md
+++ b/docs/features/INPAINTING.md
@@ -34,7 +34,7 @@ We are hoping to get rid of the need for this workaround in an upcoming release.
 2. Layer->Transparency->Add Alpha Channel
 3. Use lasoo tool to select region to mask
 4. Choose Select -> Float to create a floating selection
-5. Open the Layers toolbar (^L) and select "Floating Selection"
+5. Open the Layers toolbar (++ctrl+l++) and select "Floating Selection"
 6. Set opacity to 0%
 7. Export as PNG
 8. In the export dialogue, Make sure the "Save colour values from transparent pixels" checkbox is
diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 558167bf08..21795631f9 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -38,12 +38,11 @@ While that is downloading, open a Terminal and run the following commands:
   "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
 ```
 
-!!! quote "Conda Installation"
-    Now there are two different ways to set up the Python (miniconda) environment:
+!!! todo "Conda Installation"
 
+    Now there are two different ways to set up the Python (miniconda) environment:
     1. Standalone
     2. with pyenv
-    
     If you don't know what we are talking about, choose Standalone
 
     === "Standalone"
@@ -81,7 +80,7 @@ While that is downloading, open a Terminal and run the following commands:
         pyenv activate anaconda3-2022.05
         ```
 
-```{.bash .annotate}
+```{.bash .annotate title="local repo setup"}
 # clone the repo
 git clone https://github.com/lstein/stable-diffusion.git
 cd stable-diffusion
@@ -100,7 +99,7 @@ ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" \
 
 1. or wherever you saved sd-v1-4.ckpt
 
-!!! quote "Select the propper Architecture"
+!!! todo "create Conda Environment"
 
     === "M1 arm64"
 
@@ -120,7 +119,7 @@ ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" \
           && conda activate ldm
         ```
 
-```{.bash .annotate}
+```{.bash .annotate title="preload models and run script"}
 # only need to do this once
 python scripts/preload_models.py
 
@@ -374,15 +373,17 @@ python scripts/preload_models.py
 
 ### "The operator [name] is not current implemented for the MPS device." (sic)
 
-```bash title="example error"
-... NotImplementedError: The operator 'aten::_index_put_impl_' is not current
-implemented for the MPS device. If you want this op to be added in priority
-during the prototype phase of this feature, please comment on
-https://github.com/pytorch/pytorch/issues/77764.
-As a temporary fix, you can set the environment variable
-`PYTORCH_ENABLE_MPS_FALLBACK=1` to use the CPU as a fallback for this op.
-WARNING: this will be slower than running natively on MPS.
-```
+!!! example "example error"
+
+    ```bash
+    ... NotImplementedError: The operator 'aten::_index_put_impl_' is not current
+    implemented for the MPS device. If you want this op to be added in priority
+    during the prototype phase of this feature, please comment on
+    https://github.com/pytorch/pytorch/issues/77764.
+    As a temporary fix, you can set the environment variable
+    `PYTORCH_ENABLE_MPS_FALLBACK=1` to use the CPU as a fallback for this op.
+    WARNING: this will be slower than running natively on MPS.
+    ```
 
 The lstein branch includes this fix in
 [environment-mac.yaml](https://github.com/lstein/stable-diffusion/blob/main/environment-mac.yaml).

From 676c772f11fc07282c092328850a3d3b6673a6a9 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 11:12:45 +0200
Subject: [PATCH 066/110] update mkdocs config - use
 git-revision-date-localized with enabled creation date - update
 requirements-mkdocs.txt and pin verisons - add requirements - add dev addr -
 fix template - use better icons for repo and edit button - remove odd
 extension

---
 docs/index.md           |  2 +-
 mkdocs.yml              | 14 +++++++-------
 requirements-mkdocs.txt |  5 +++--
 3 files changed, 11 insertions(+), 10 deletions(-)

diff --git a/docs/index.md b/docs/index.md
index 9840bc1fde..203823b6bc 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -7,7 +7,7 @@ title: Home
 
   ```bash
   pip install -r requirements-mkdocs.txt
-  mkdocs serve -a localhost:8080
+  mkdocs serve
   ```
 -->
 <div align="center" markdown="1">
diff --git a/mkdocs.yml b/mkdocs.yml
index 7f7907079d..54c6c017d0 100644
--- a/mkdocs.yml
+++ b/mkdocs.yml
@@ -1,6 +1,8 @@
 # General
 site_name: Dream Script Docs
 site_url: https://lstein.github.io/stable-diffusion/
+site_author: mauwii
+dev_addr: "127.0.0.1:8080"
 
 # Repository
 repo_name: lstein/stable-diffusion
@@ -13,18 +15,16 @@ copyright: Copyright &copy; 2022 Lincoln D. Stein <lincoln.stein@gmail.com>
 # Configuration
 theme:
   name: material
-  # features:
-  #   - toc.integrate
+  icon:
+    repo: fontawesome/brands/github
+    edit: material/file-document-edit-outline
   palette:
     - media: '(prefers-color-scheme: light)'
-      primary: blue
       scheme: default
       toggle:
         icon: material/lightbulb
         name: Switch to dark mode
     - media: '(prefers-color-scheme: dark)'
-      primary: dark-blue
-      accent: white
       scheme: slate
       toggle:
         icon: material/lightbulb-outline
@@ -37,7 +37,6 @@ markdown_extensions:
   - attr_list
   - def_list
   - footnotes
-  - meta
   - md_in_html
   - toc:
       permalink: '#'
@@ -75,4 +74,5 @@ markdown_extensions:
 
 plugins:
   - search
-  - git-revision-date
+  - git-revision-date-localized:
+      enable_creation_date: true
diff --git a/requirements-mkdocs.txt b/requirements-mkdocs.txt
index 7b4de171ed..4f79605650 100644
--- a/requirements-mkdocs.txt
+++ b/requirements-mkdocs.txt
@@ -1,2 +1,3 @@
-mkdocs-material
-mkdocs-git-revision-date-plugin>=0.3.2
+mkdocs==1.3.1
+mkdocs-material==8.5.1
+mkdocs-git-revision-date-localized-plugin==1.1.0

From f2c3fba28d7adfbb3dc0a23d8a52ae02531d12cc Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 11:28:08 +0200
Subject: [PATCH 067/110] update mkdocs-flow for the git-revision-date addon it
 is necesarry to set fetch-depth to 0

---
 .github/workflows/mkdocs-flow.yml | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/mkdocs-flow.yml b/.github/workflows/mkdocs-flow.yml
index c4a6365304..49a9cbd423 100644
--- a/.github/workflows/mkdocs-flow.yml
+++ b/.github/workflows/mkdocs-flow.yml
@@ -12,7 +12,9 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
-        uses: actions/checkout@v2
+        uses: actions/checkout@v3
+        with:
+          fetch-depth: 0
       - name: Build
         uses: Tiryoh/actions-mkdocs@v0
         with:

From e1f0ee819d22a5e408412804e5d79835f1f3d6d7 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Sun, 18 Sep 2022 21:13:42 +1000
Subject: [PATCH 068/110] Minor bug fix

---
 frontend/src/common/util/parameterTranslation.ts     |  2 --
 .../src/features/gallery/CurrentImageButtons.tsx     | 12 ++++++++++--
 frontend/src/features/sd/sdSlice.ts                  |  2 +-
 3 files changed, 11 insertions(+), 5 deletions(-)

diff --git a/frontend/src/common/util/parameterTranslation.ts b/frontend/src/common/util/parameterTranslation.ts
index d8c766cb12..485c10ff36 100644
--- a/frontend/src/common/util/parameterTranslation.ts
+++ b/frontend/src/common/util/parameterTranslation.ts
@@ -94,8 +94,6 @@ export const frontendToBackendParameters = (
         };
     }
 
-    console.log(generationParameters)
-
     return {
         generationParameters,
         esrganParameters,
diff --git a/frontend/src/features/gallery/CurrentImageButtons.tsx b/frontend/src/features/gallery/CurrentImageButtons.tsx
index b661bd7e60..cb4d620fe0 100644
--- a/frontend/src/features/gallery/CurrentImageButtons.tsx
+++ b/frontend/src/features/gallery/CurrentImageButtons.tsx
@@ -43,9 +43,15 @@ const CurrentImageButtons = ({
   setShouldShowImageDetails,
 }: CurrentImageButtonsProps) => {
   const dispatch = useAppDispatch();
+
   const { intermediateImage } = useAppSelector(
     (state: RootState) => state.gallery
   );
+
+  const { upscalingLevel, gfpganStrength } = useAppSelector(
+    (state: RootState) => state.sd
+  );
+
   const { isProcessing, isConnected, isGFPGANAvailable, isESRGANAvailable } =
     useAppSelector(systemSelector);
 
@@ -101,7 +107,8 @@ const CurrentImageButtons = ({
         isDisabled={
           !isESRGANAvailable ||
           Boolean(intermediateImage) ||
-          !(isConnected && !isProcessing)
+          !(isConnected && !isProcessing) ||
+          !upscalingLevel
         }
         onClick={handleClickUpscale}
       />
@@ -113,7 +120,8 @@ const CurrentImageButtons = ({
         isDisabled={
           !isGFPGANAvailable ||
           Boolean(intermediateImage) ||
-          !(isConnected && !isProcessing)
+          !(isConnected && !isProcessing) ||
+          !gfpganStrength
         }
         onClick={handleClickFixFaces}
       />
diff --git a/frontend/src/features/sd/sdSlice.ts b/frontend/src/features/sd/sdSlice.ts
index 90c1d6efcc..d8dfd2012d 100644
--- a/frontend/src/features/sd/sdSlice.ts
+++ b/frontend/src/features/sd/sdSlice.ts
@@ -2,7 +2,7 @@ import { createSlice } from '@reduxjs/toolkit';
 import type { PayloadAction } from '@reduxjs/toolkit';
 import { SDMetadata } from '../gallery/gallerySlice';
 
-export type UpscalingLevel = 0 | 2 | 4;
+export type UpscalingLevel = 2 | 4;
 
 export interface SDState {
   prompt: string;

From 5b4c37e043466939cde1984a75d0a2a4a792c821 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 16:09:08 +0200
Subject: [PATCH 069/110] fix #643 shortcut for --strength is -f

---
 docs/features/CLI.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/features/CLI.md b/docs/features/CLI.md
index 3b725fdf2f..a946df00ca 100644
--- a/docs/features/CLI.md
+++ b/docs/features/CLI.md
@@ -172,7 +172,7 @@ In addition to the command-line options recognized by txt2img, img2img accepts a
 | ------------------- | ---------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------- |
 | `--init_img <path>` | `-I<path>` | `None`  | Path to the initialization image                                                                                                              |
 | `--fit`              | `-F`       | `False` | Scale the image to fit into the specified -H and -W dimensions                                                                                  |
-| `--strength <float>` | `-s<float>` | `0.75`  | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99,<br>with higher values replacing the initial image completely. |
+| `--strength <float>` | `-f<float>` | `0.75`  | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99,<br>with higher values replacing the initial image completely. |
 
 #### inpainting
 

From df981780183340d4778e9df0ba7efcf2c1437563 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 16:39:18 +0200
Subject: [PATCH 070/110] fix paths in PROMPTS.md

---
 docs/features/PROMPTS.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/features/PROMPTS.md b/docs/features/PROMPTS.md
index 3bcece7a4c..a8b1e814fe 100644
--- a/docs/features/PROMPTS.md
+++ b/docs/features/PROMPTS.md
@@ -60,7 +60,7 @@ original prompt:
 "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180
 ```
 
-![step1](../assets/variation_walkthru/step1.png)
+![step1](../assets/negative_prompt_walkthru/step1.png)
 
 That image has a woman, so if we want the horse without a rider, we can influence the image not to have a woman by putting [woman] in the prompt, like this:
 
@@ -68,7 +68,7 @@ That image has a woman, so if we want the horse without a rider, we can influenc
 "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180
 ```
 
-![step2](../assets/variation_walkthru/step2.png)
+![step2](../assets/negative_prompt_walkthru/step2.png)
 
 That's nice - but say we also don't want the image to be quite so blue. We can add "blue" to the list of negative prompts, so it's now [woman blue]:
 
@@ -76,7 +76,7 @@ That's nice - but say we also don't want the image to be quite so blue. We can a
 "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman blue]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180
 ```
 
-![step3](../assets/variation_walkthru/step3.png)
+![step3](../assets/negative_prompt_walkthru/step3.png)
 
 
 Getting close - but there's no sense in having a saddle when our horse doesn't have a rider, so we'll add one more negative prompt: [woman blue saddle].
@@ -85,7 +85,7 @@ Getting close - but there's no sense in having a saddle when our horse doesn't h
 "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman blue saddle]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180
 ```
 
-![step4](../assets/variation_walkthru/step4.png)
+![step4](../assets/negative_prompt_walkthru/step4.png)
 
 
 Notes about this feature:
@@ -93,4 +93,4 @@ Notes about this feature:
 * The only requirement for words to be ignored is that they are in between a pair of square brackets.
 * You can provide multiple words within the same bracket.
 * You can provide multiple brackets with multiple words in different places of your prompt. That works just fine.
-* To improve typical anatomy problems, you can add negative prompts like [bad anatomy, extra legs, extra arms, extra fingers, poorly drawn hands, poorly drawn feet, disfigured, out of frame, tiling, bad art, deformed, mutated].
\ No newline at end of file
+* To improve typical anatomy problems, you can add negative prompts like [bad anatomy, extra legs, extra arms, extra fingers, poorly drawn hands, poorly drawn feet, disfigured, out of frame, tiling, bad art, deformed, mutated].

From fe0f5bcc1192b8b06f83c4d0ebf0de7fbe49d574 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 16:43:04 +0200
Subject: [PATCH 071/110] readd missed backticks and add tabkey

---
 docs/features/CLI.md | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/docs/features/CLI.md b/docs/features/CLI.md
index fde7f3f76f..2ff4d4894f 100644
--- a/docs/features/CLI.md
+++ b/docs/features/CLI.md
@@ -175,10 +175,10 @@ In addition to the command-line options recognized by txt2img, img2img accepts a
 
 | Argument              | Shortcut   | Default | Description                                                                                                                                |
 | --------------------- | ---------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
-| `--init_img <path>`   | `-I<path>` | None    | Path to the initialization image                                                                                                           |
-| `--init_color <path>` |            | None    | Path to reference image for color correction               |
-| `--fit`                | `-F`       | False   | Scale the image to fit into the specified -H and -W dimensions                                                                             |
-| `--strength <float>`   | `-f<float>` | 0.75    | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99, with higher values replacing the initial image completely. |
+| `--init_img <path>`   | `-I<path>` | `None`  | Path to the initialization image                                                                                                           |
+| `--init_color <path>` |            | `None`  | Path to reference image for color correction               |
+| `--fit`                | `-F`       | `False` | Scale the image to fit into the specified -H and -W dimensions                                                                             |
+| `--strength <float>`   | `-f<float>` | `0.75`  | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99, with higher values replacing the initial image completely. |
 
 #### inpainting
 
@@ -240,6 +240,6 @@ dream> "zebra with a mustache" -I./test-pictures<TAB>
 -I./test-pictures/bad-sketch.png          -I./test-pictures/man_with_eagle/
 ```
 
-You can then type "z", hit tab again, and it will autofill to "zebra.jpg".
+You can then type "z", hit ++tab++ again, and it will autofill to "zebra.jpg".
 
 More text completion features (such as autocompleting seeds) are on their way.

From cdc78cc6a1ceb7e5403e78caa06bd20b090aa496 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 18:46:03 +0200
Subject: [PATCH 072/110] use inline codeblocks for those very long prompts
 this way they linebreak which helps a lot in this case also removed odd
 whitespaces

---
 docs/features/PROMPTS.md | 30 ++++++++++--------------------
 1 file changed, 10 insertions(+), 20 deletions(-)

diff --git a/docs/features/PROMPTS.md b/docs/features/PROMPTS.md
index a8b1e814fe..16638e35f9 100644
--- a/docs/features/PROMPTS.md
+++ b/docs/features/PROMPTS.md
@@ -54,43 +54,33 @@ In the above statement, the words 'not really cool` will be ignored by Stable Di
 
 Here's a prompt that depicts what it does.
 
-original prompt: 
+original prompt:
 
-```bash
-"A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180
-```
+`#!bash "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180`
 
 ![step1](../assets/negative_prompt_walkthru/step1.png)
 
 That image has a woman, so if we want the horse without a rider, we can influence the image not to have a woman by putting [woman] in the prompt, like this:
 
-```bash
-"A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180
-```
+`#!bash "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180`
 
 ![step2](../assets/negative_prompt_walkthru/step2.png)
 
 That's nice - but say we also don't want the image to be quite so blue. We can add "blue" to the list of negative prompts, so it's now [woman blue]:
 
-```bash
-"A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman blue]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180
-```
+`#!bash "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman blue]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180`
 
 ![step3](../assets/negative_prompt_walkthru/step3.png)
 
-
 Getting close - but there's no sense in having a saddle when our horse doesn't have a rider, so we'll add one more negative prompt: [woman blue saddle].
 
-```bash
-"A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman blue saddle]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180
-```
+`#!bash "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman blue saddle]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180`
 
 ![step4](../assets/negative_prompt_walkthru/step4.png)
 
+!!! notes "Notes about this feature:"
 
-Notes about this feature:
-
-* The only requirement for words to be ignored is that they are in between a pair of square brackets.
-* You can provide multiple words within the same bracket.
-* You can provide multiple brackets with multiple words in different places of your prompt. That works just fine.
-* To improve typical anatomy problems, you can add negative prompts like [bad anatomy, extra legs, extra arms, extra fingers, poorly drawn hands, poorly drawn feet, disfigured, out of frame, tiling, bad art, deformed, mutated].
+    * The only requirement for words to be ignored is that they are in between a pair of square brackets.
+    * You can provide multiple words within the same bracket.
+    * You can provide multiple brackets with multiple words in different places of your prompt. That works just fine.
+    * To improve typical anatomy problems, you can add negative prompts like `[bad anatomy, extra legs, extra arms, extra fingers, poorly drawn hands, poorly drawn feet, disfigured, out of frame, tiling, bad art, deformed, mutated]`.

From 578638c258418826cedd2021505afce4def60b0d Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 18:48:05 +0200
Subject: [PATCH 073/110] include rust inst. step in standalone installation
 also include protobuf uninstall if installed previously

---
 docs/installation/INSTALL_MAC.md | 30 ++++++++++++++++++++----------
 1 file changed, 20 insertions(+), 10 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 21795631f9..ec5b660d36 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -33,10 +33,20 @@ some time:
 
 While that is downloading, open a Terminal and run the following commands:
 
-```bash title="install brew (and Xcode command line tools)"
-/bin/bash -c \
-  "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
-```
+!!! todo "Homebrew"
+
+    === "no brew installation yet"
+
+        ```bash title="install brew (and Xcode command line tools)"
+        /bin/bash -c \
+          "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
+        ```
+
+    === "brew is already installed"
+    
+        Only if you installed protobuf in a previous version of this tutorial, otherwise skip
+
+        `#!bash brew uninstall protobuf`
 
 !!! todo "Conda Installation"
 
@@ -54,8 +64,7 @@ While that is downloading, open a Terminal and run the following commands:
 
         === "M1 arm64"
 
-            ```bash
-            # install miniconda for M1 arm64:
+            ```bash title="Install miniconda for M1 arm64"
             curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh \
               -o Miniconda3-latest-MacOSX-arm64.sh
             /bin/bash Miniconda3-latest-MacOSX-arm64.sh
@@ -63,8 +72,7 @@ While that is downloading, open a Terminal and run the following commands:
 
         === "Intel x86_64"
 
-            ```bash
-            # OR install miniconda for Intel:
+            ```bash title="Install miniconda for Intel"
             curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh \
               -o Miniconda3-latest-MacOSX-x86_64.sh
             /bin/bash Miniconda3-latest-MacOSX-x86_64.sh
@@ -72,13 +80,15 @@ While that is downloading, open a Terminal and run the following commands:
 
     === "with pyenv"
 
-        ```bash
-        brew install pyenv-virtualenv # you might already have this installed, no problem
+        ```{.bash .annotate}
+        brew install rust pyenv-virtualenv # (1)
         pyenv install anaconda3-2022.05
         pyenv virtualenv anaconda3-2022.05
         eval "$(pyenv init -)"
         pyenv activate anaconda3-2022.05
         ```
+        
+        1. you might already have this installed, no problem
 
 ```{.bash .annotate title="local repo setup"}
 # clone the repo

From 20ffd4082c41cf7ed7e812afdaf7b36b0753653c Mon Sep 17 00:00:00 2001
From: "Armando C. Santisbon" <3804335+santisbon@users.noreply.github.com>
Date: Sun, 18 Sep 2022 13:25:21 -0500
Subject: [PATCH 074/110] needs protobuf 3.20.1

---
 docs/installation/INSTALL_MAC.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index c000e818bb..b64c2e3706 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -49,8 +49,8 @@ pyenv activate anaconda3-2022.05
 
 # OR,
 # 2. Installing standalone
-# install python 3, git, cmake, protobuf:
-brew install cmake protobuf rust
+# install python 3, git, cmake:
+brew install cmake rust
 
 # install miniconda (M1 arm64 version):
 curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o Miniconda3-latest-MacOSX-arm64.sh
@@ -78,6 +78,7 @@ ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
 # install packages
 PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac.yaml
 conda activate ldm
+conda install -y protobuf=3.20.1
 
 # only need to do this once
 python scripts/preload_models.py

From 6ea0a7699ec76950851df14a3ca22b1ac0f61f37 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Sun, 18 Sep 2022 21:30:18 +0200
Subject: [PATCH 075/110] add Icons to Titles and in index.md

---
 docs/features/CHANGELOG.md           |  2 ++
 docs/features/CLI.md                 |  2 ++
 docs/features/EMBIGGEN.md            |  2 ++
 docs/features/IMG2IMG.md             |  3 ++-
 docs/features/INPAINTING.md          |  2 ++
 docs/features/OTHER.md               |  2 ++
 docs/features/PROMPTS.md             |  6 ++++-
 docs/features/TEXTUAL_INVERSION.md   |  2 ++
 docs/features/UPSCALE.md             |  2 ++
 docs/features/VARIATIONS.md          |  4 +++
 docs/features/WEB.md                 |  4 ++-
 docs/help/TROUBLESHOOT.md            |  2 ++
 docs/index.md                        | 38 ++++++++++++++--------------
 docs/installation/INSTALL_LINUX.md   |  2 ++
 docs/installation/INSTALL_MAC.md     |  2 ++
 docs/installation/INSTALL_WINDOWS.md |  2 ++
 docs/other/CONTRIBUTORS.md           |  2 ++
 17 files changed, 57 insertions(+), 22 deletions(-)

diff --git a/docs/features/CHANGELOG.md b/docs/features/CHANGELOG.md
index f50c4f11b8..a6258f6a56 100644
--- a/docs/features/CHANGELOG.md
+++ b/docs/features/CHANGELOG.md
@@ -2,6 +2,8 @@
 title: Changelog
 ---
 
+# :octicons-log-16: Changelog
+
 ## v1.13 <small>(in process)</small>
 
 - Supports a Google Colab notebook for a standalone server running on Google
diff --git a/docs/features/CLI.md b/docs/features/CLI.md
index 2ff4d4894f..7c3dae4a5a 100644
--- a/docs/features/CLI.md
+++ b/docs/features/CLI.md
@@ -4,6 +4,8 @@ hide:
   - toc
 ---
 
+# :material-bash: CLI
+
 ## **Interactive Command Line Interface**
 
 The `dream.py` script, located in `scripts/dream.py`, provides an interactive interface to image
diff --git a/docs/features/EMBIGGEN.md b/docs/features/EMBIGGEN.md
index 16acd36cba..aecebf04e8 100644
--- a/docs/features/EMBIGGEN.md
+++ b/docs/features/EMBIGGEN.md
@@ -2,6 +2,8 @@
 title: Embiggen
 ---
 
+# :material-loupe: Embiggen
+
 **upscale your images on limited memory machines**
 
 GFPGAN and Real-ESRGAN are both memory intensive. In order to avoid
diff --git a/docs/features/IMG2IMG.md b/docs/features/IMG2IMG.md
index eeaecbf981..e61f365c01 100644
--- a/docs/features/IMG2IMG.md
+++ b/docs/features/IMG2IMG.md
@@ -2,7 +2,8 @@
 title: Image-to-Image
 ---
 
-## **IMG2IMG**
+# :material-image-multiple: **IMG2IMG**
+
 This script also provides an `img2img` feature that lets you seed your creations with an initial
 drawing or photo. This is a really cool feature that tells stable diffusion to build the prompt on
 top of the image you provide, preserving the original's basic shape and layout. To use it, provide
diff --git a/docs/features/INPAINTING.md b/docs/features/INPAINTING.md
index a6c7f53500..98c708f798 100644
--- a/docs/features/INPAINTING.md
+++ b/docs/features/INPAINTING.md
@@ -2,6 +2,8 @@
 title: Inpainting
 ---
 
+# :octicons-paintbrush-16: Inpainting
+
 ## **Creating Transparent Regions for Inpainting**
 
 Inpainting is really cool. To do it, you start with an initial image and use a photoeditor to make
diff --git a/docs/features/OTHER.md b/docs/features/OTHER.md
index 019ed35b70..5faa1d32d0 100644
--- a/docs/features/OTHER.md
+++ b/docs/features/OTHER.md
@@ -2,6 +2,8 @@
 title: Others
 ---
 
+# :fontawesome-regular-share-from-square: Others
+
 ## **Google Colab**
 
 Stable Diffusion AI Notebook: <a
diff --git a/docs/features/PROMPTS.md b/docs/features/PROMPTS.md
index 16638e35f9..f3bb9cef86 100644
--- a/docs/features/PROMPTS.md
+++ b/docs/features/PROMPTS.md
@@ -1,4 +1,8 @@
-# Prompting Features
+---
+title: Prompting Features
+---
+
+# :octicons-command-palette-24: Prompting Features
 
 ## **Reading Prompts from a File**
 
diff --git a/docs/features/TEXTUAL_INVERSION.md b/docs/features/TEXTUAL_INVERSION.md
index 9e8e0052f9..ea3ea21a82 100644
--- a/docs/features/TEXTUAL_INVERSION.md
+++ b/docs/features/TEXTUAL_INVERSION.md
@@ -2,6 +2,8 @@
 title: TEXTUAL_INVERSION
 ---
 
+# :material-file-document-plus-outline: TEXTUAL_INVERSION
+
 ## **Personalizing Text-to-Image Generation**
 
 You may personalize the generated images to provide your own styles or objects
diff --git a/docs/features/UPSCALE.md b/docs/features/UPSCALE.md
index 9c16b3a3aa..adb95685b5 100644
--- a/docs/features/UPSCALE.md
+++ b/docs/features/UPSCALE.md
@@ -2,6 +2,8 @@
 title: Upscale
 ---
 
+# :material-image-size-select-large: Upscale 
+
 ## **GFPGAN and Real-ESRGAN Support**
 
 The script also provides the ability to do face restoration and upscaling with the help of GFPGAN
diff --git a/docs/features/VARIATIONS.md b/docs/features/VARIATIONS.md
index 053f6f0a3a..2a4098ddd0 100644
--- a/docs/features/VARIATIONS.md
+++ b/docs/features/VARIATIONS.md
@@ -2,6 +2,10 @@
 title: Variations
 ---
 
+# :material-tune-variant: Variations
+
+## Intro
+
 Release 1.13 of SD-Dream adds support for image variations.
 
 You are able to do the following:
diff --git a/docs/features/WEB.md b/docs/features/WEB.md
index 1bbf5f3b55..833b18cdfc 100644
--- a/docs/features/WEB.md
+++ b/docs/features/WEB.md
@@ -2,8 +2,10 @@
 title: Barebones Web Server
 ---
 
+# :material-web: Barebones Web Server
+
 As of version 1.10, this distribution comes with a bare bones web server (see
-screenshot). To use it, run the `dream.py` script by adding the `**--web**`
+screenshot). To use it, run the `dream.py` script by adding the `--web`
 option.
 
 ```bash
diff --git a/docs/help/TROUBLESHOOT.md b/docs/help/TROUBLESHOOT.md
index 6458d8ceb9..f5dcfe2c1c 100644
--- a/docs/help/TROUBLESHOOT.md
+++ b/docs/help/TROUBLESHOOT.md
@@ -2,6 +2,8 @@
 title: F.A.Q.
 ---
 
+# :material-frequently-asked-questions: F.A.Q.
+
 ## **Frequently-Asked-Questions**
 
 Here are a few common installation problems and their solutions. Often these are caused by
diff --git a/docs/index.md b/docs/index.md
index 203823b6bc..c4a524d00b 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -12,7 +12,7 @@ title: Home
 -->
 <div align="center" markdown="1">
 
-# Stable Diffusion Dream Script
+# :material-script-text-outline: Stable Diffusion Dream Script
 
 ![project logo](assets/logo.png)
 
@@ -55,29 +55,29 @@ GPU cards with as little as 4 GB or RAM.
     [Issues](https://github.com/lstein/stable-diffusion/issues) tab to report bugs and make feature
     requests. Be sure to use the provided templates. They will help aid diagnose issues faster.
 
-## Installation
+## :octicons-package-dependencies-24: Installation
 
 This fork is supported across multiple platforms. You can find individual installation instructions
 below.
 
-- [Linux](installation/INSTALL_LINUX.md)
-- [Windows](installation/INSTALL_WINDOWS.md)
-- [Macintosh](installation/INSTALL_MAC.md)
+- :fontawesome-brands-linux: [Linux](installation/INSTALL_LINUX.md)
+- :fontawesome-brands-windows: [Windows](installation/INSTALL_WINDOWS.md)
+- :fontawesome-brands-apple: [Macintosh](installation/INSTALL_MAC.md)
 
-## Hardware Requirements
+## :fontawesome-solid-computer: Hardware Requirements
 
-### System
+### :octicons-cpu-24: System
 
 You wil need one of the following:
 
-- An NVIDIA-based graphics card with 4 GB or more VRAM memory.
-- An Apple computer with an M1 chip.
+- :simple-nvidia: An NVIDIA-based graphics card with 4 GB or more VRAM memory.
+- :fontawesome-brands-apple: An Apple computer with an M1 chip.
 
-### Memory
+### :fontawesome-solid-memory: Memory
 
 - At least 12 GB Main Memory RAM.
 
-### Disk
+### :fontawesome-regular-hard-drive: Disk
 
 - At least 6 GB of free disk space for the machine learning model, Python, and all its dependencies.
 
@@ -94,7 +94,7 @@ You wil need one of the following:
     (ldm) ~/stable-diffusion$ python scripts/dream.py --full_precision
     ```
 
-## Features
+## :octicons-list-unordered-24: Features
 
 ### Major Features
 
@@ -117,7 +117,7 @@ You wil need one of the following:
 - [Creating Transparent Regions for Inpainting](features/INPAINTING.md#creating-transparent-regions-for-inpainting)
 - [Preload Models](features/OTHER.md#preload-models)
 
-## Latest Changes
+## :octicons-log-16: Latest Changes
 
 ### v1.14 <small>(11 September 2022)</small>
 
@@ -148,12 +148,12 @@ You wil need one of the following:
 
 For older changelogs, please visit the **[CHANGELOG](features/CHANGELOG.md)**.
 
-## Troubleshooting
+## :material-target: Troubleshooting
 
-Please check out our **[Q&A](help/TROUBLESHOOT.md)** to get solutions for common installation
+Please check out our **[:material-frequently-asked-questions: Q&A](help/TROUBLESHOOT.md)** to get solutions for common installation
 problems and other issues.
 
-## Contributing
+## :octicons-repo-push-24: Contributing
 
 Anyone who wishes to contribute to this project, whether documentation, features, bug fixes, code
 cleanup, testing, or code reviews, is very much encouraged to do so. If you are unfamiliar with how
@@ -165,13 +165,13 @@ important thing is to **make your pull request against the "development" branch*
 "main". This will help keep public breakage to a minimum and will allow you to propose more radical
 changes.
 
-## Contributors
+## :octicons-person-24: Contributors
 
 This fork is a combined effort of various people from across the world.
 [Check out the list of all these amazing people](other/CONTRIBUTORS.md). We thank them for their
 time, hard work and effort.
 
-## Support
+## :octicons-question-24: Support
 
 For support, please use this repository's GitHub Issues tracking service. Feel free to send me an
 email if you use and like the script.
@@ -179,7 +179,7 @@ email if you use and like the script.
 Original portions of the software are Copyright (c) 2020
 [Lincoln D. Stein](https://github.com/lstein)
 
-## Further Reading
+## :octicons-book-24: Further Reading
 
 Please see the original README for more information on this software and underlying algorithm,
 located in the file [README-CompViz.md](other/README-CompViz.md).
diff --git a/docs/installation/INSTALL_LINUX.md b/docs/installation/INSTALL_LINUX.md
index 4b9be84542..a871c226e6 100644
--- a/docs/installation/INSTALL_LINUX.md
+++ b/docs/installation/INSTALL_LINUX.md
@@ -2,6 +2,8 @@
 title: Linux
 ---
 
+# :fontawesome-brands-linux: Linux
+
 ## Installation
 
 1. You will need to install the following prerequisites if they are not already
diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index ec5b660d36..d45a1140af 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -2,6 +2,8 @@
 title: macOS
 ---
 
+# :fontawesome-brands-apple: macOS
+
 ## Requirements
 
 - macOS 12.3 Monterey or later
diff --git a/docs/installation/INSTALL_WINDOWS.md b/docs/installation/INSTALL_WINDOWS.md
index e9e58c5e5e..d0f6355bb2 100644
--- a/docs/installation/INSTALL_WINDOWS.md
+++ b/docs/installation/INSTALL_WINDOWS.md
@@ -2,6 +2,8 @@
 title: Windows
 ---
 
+# :fontawesome-brands-windows: Windows
+
 ## **Notebook install (semi-automated)**
 
 We have a
diff --git a/docs/other/CONTRIBUTORS.md b/docs/other/CONTRIBUTORS.md
index 7eba44dbad..dcea33492a 100644
--- a/docs/other/CONTRIBUTORS.md
+++ b/docs/other/CONTRIBUTORS.md
@@ -2,6 +2,8 @@
 title: Contributors
 ---
 
+# :octicons-person-24: Contributors
+
 The list of all the amazing people who have contributed to the various features that you get to
 experience in this fork.
 

From c3712b013fa55a7a90e62992cd79481d6e2cf98c Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 19 Sep 2022 09:09:11 +1000
Subject: [PATCH 076/110] Fixes metadata implementation #686

---
 ldm/dream/args.py | 36 +++++++++++++++++++++++-------------
 1 file changed, 23 insertions(+), 13 deletions(-)

diff --git a/ldm/dream/args.py b/ldm/dream/args.py
index 8a8a3a41b3..7d8f473b4a 100644
--- a/ldm/dream/args.py
+++ b/ldm/dream/args.py
@@ -602,6 +602,16 @@ def metadata_dumps(opt,
     This is intended to be turned into JSON and stored in the 
     "sd
     '''
+
+    # top-level metadata minus `image` or `images`
+    metadata = {
+        'model'       : 'stable diffusion',
+        'model_id'    : opt.model,
+        'model_hash'  : model_hash,
+        'app_id'      : APP_ID,
+        'app_version' : APP_VERSION,
+    }
+
     # add some RFC266 fields that are generated internally, and not as
     # user args
     image_dict = opt.to_dict(
@@ -647,22 +657,22 @@ def metadata_dumps(opt,
     else:
         rfc_dict['type']  = 'txt2img'
 
-    images = []
     if len(seeds)==0 and opt.seed:
         seeds=[seed]
-        
-    for seed in seeds:
-        rfc_dict['seed'] = seed
-        images.append(copy.copy(rfc_dict))
 
-    return {
-        'model'       : 'stable diffusion',
-        'model_id'    : opt.model,
-        'model_hash'  : model_hash,
-        'app_id'      : APP_ID,
-        'app_version' : APP_VERSION,
-        'images'      : images,
-    }
+    if opt.grid:
+        images = []
+        for seed in seeds:
+            rfc_dict['seed'] = seed
+            images.append(copy.copy(rfc_dict))
+        metadata['images'] = images
+    else:
+        # there should only ever be a single seed if we did not generate a grid
+        assert len(seeds) == 1, 'Expected a single seed'
+        rfc_dict['seed'] = seeds[0]
+        metadata['image'] = rfc_dict
+
+    return metadata
 
 def metadata_loads(metadata):
     '''

From 61611d7d0dbc62fe3c82159c53c4a7b9312cc84e Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 19 Sep 2022 09:09:11 +1000
Subject: [PATCH 077/110] Fixes metadata implementation #686

---
 ldm/dream/args.py | 36 +++++++++++++++++++++++-------------
 1 file changed, 23 insertions(+), 13 deletions(-)

diff --git a/ldm/dream/args.py b/ldm/dream/args.py
index 8a8a3a41b3..7d8f473b4a 100644
--- a/ldm/dream/args.py
+++ b/ldm/dream/args.py
@@ -602,6 +602,16 @@ def metadata_dumps(opt,
     This is intended to be turned into JSON and stored in the 
     "sd
     '''
+
+    # top-level metadata minus `image` or `images`
+    metadata = {
+        'model'       : 'stable diffusion',
+        'model_id'    : opt.model,
+        'model_hash'  : model_hash,
+        'app_id'      : APP_ID,
+        'app_version' : APP_VERSION,
+    }
+
     # add some RFC266 fields that are generated internally, and not as
     # user args
     image_dict = opt.to_dict(
@@ -647,22 +657,22 @@ def metadata_dumps(opt,
     else:
         rfc_dict['type']  = 'txt2img'
 
-    images = []
     if len(seeds)==0 and opt.seed:
         seeds=[seed]
-        
-    for seed in seeds:
-        rfc_dict['seed'] = seed
-        images.append(copy.copy(rfc_dict))
 
-    return {
-        'model'       : 'stable diffusion',
-        'model_id'    : opt.model,
-        'model_hash'  : model_hash,
-        'app_id'      : APP_ID,
-        'app_version' : APP_VERSION,
-        'images'      : images,
-    }
+    if opt.grid:
+        images = []
+        for seed in seeds:
+            rfc_dict['seed'] = seed
+            images.append(copy.copy(rfc_dict))
+        metadata['images'] = images
+    else:
+        # there should only ever be a single seed if we did not generate a grid
+        assert len(seeds) == 1, 'Expected a single seed'
+        rfc_dict['seed'] = seeds[0]
+        metadata['image'] = rfc_dict
+
+    return metadata
 
 def metadata_loads(metadata):
     '''

From f404c692ad23dfbbdb61e313d2adba78bec42eb6 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 19 Sep 2022 11:53:47 +1000
Subject: [PATCH 078/110] Fixes metadata_loads() #686

---
 ldm/dream/args.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/ldm/dream/args.py b/ldm/dream/args.py
index 7d8f473b4a..db6d963645 100644
--- a/ldm/dream/args.py
+++ b/ldm/dream/args.py
@@ -681,7 +681,10 @@ def metadata_loads(metadata):
     '''
     results = []
     try:
-        images = metadata['sd-metadata']['images']
+        if 'grid' in metadata['sd-metadata']:
+            images = metadata['sd-metadata']['images']
+        else:
+            images = [metadata['sd-metadata']['image']]
         for image in images:
             # repack the prompt and variations
             image['prompt']     = ','.join([':'.join([x['prompt'],   str(x['weight'])]) for x in image['prompt']])

From 94ca13c49431e74876005f0dfd79769d0d13f9c2 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 19 Sep 2022 11:53:47 +1000
Subject: [PATCH 079/110] Fixes metadata_loads() #686

---
 ldm/dream/args.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/ldm/dream/args.py b/ldm/dream/args.py
index 7d8f473b4a..db6d963645 100644
--- a/ldm/dream/args.py
+++ b/ldm/dream/args.py
@@ -681,7 +681,10 @@ def metadata_loads(metadata):
     '''
     results = []
     try:
-        images = metadata['sd-metadata']['images']
+        if 'grid' in metadata['sd-metadata']:
+            images = metadata['sd-metadata']['images']
+        else:
+            images = [metadata['sd-metadata']['image']]
         for image in images:
             # repack the prompt and variations
             image['prompt']     = ','.join([':'.join([x['prompt'],   str(x['weight'])]) for x in image['prompt']])

From ead0e92bacc98ef2e77e9670491ad183cf053d51 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Mon, 19 Sep 2022 08:36:42 +0200
Subject: [PATCH 080/110] remove feature list from index.md since in menu fix
 double bs python path in cli.md and fix tables again add more keys in cli.md
 fix annotations in install_mac.md remove torchaudio from pythorch-nightly
 installation fix self reference

---
 docs/features/CLI.md             | 74 ++++++++++++++++----------------
 docs/index.md                    | 28 ++----------
 docs/installation/INSTALL_MAC.md | 18 ++++----
 3 files changed, 48 insertions(+), 72 deletions(-)

diff --git a/docs/features/CLI.md b/docs/features/CLI.md
index 7c3dae4a5a..3287c07827 100644
--- a/docs/features/CLI.md
+++ b/docs/features/CLI.md
@@ -71,26 +71,26 @@ These command-line arguments can be passed to `dream.py` when you first run it f
 or Linux command line. Some set defaults that can be overridden on a per-prompt basis (see [List of
 prompt arguments] (#list-of-prompt-arguments). Others
 
-| Argument                  | Shortcut      | Default                       | Description                                                                                             |
-| ------------------------- | ------------- | ----------------------------- | ------------------------------------------------------------------------------------------------------- |
-| `--help`                  | `-h`          |                               | Print a concise help message.                                                                           |
-| `--outdir <path>`         | `-o<path>`    | `outputs/img_samples`         | Location for generated images.                                                                          |
-| `--prompt_as_dir`         | `-p`          | `False`                       | Name output directories using the prompt text.                                                          |
-| `--from_file <path>`       |               | `None`                        | Read list of prompts from a file. Use "-" to read from<br>standard input                                |
-| `--model <modelname>`     |               | `stable-diffusion-1.4`        | Loads model specified in configs/models.yaml. Currently<br>one of "stable-diffusion-1.4" or "laion400m" |
-| `--full_precision`        | `-F`          | `False`                       | Run in slower full-precision mode. Needed for Macintosh<br>M1/M2 hardware and some older video cards.   |
-| `--web`                   |               | `False`                       | Start in web server mode                                                                                |
-| `--host <ip addr>`        |               | `localhost`                   | Which network interface web server should listen on.<br>Set to 0.0.0.0 to listen on any.                |
-| `--port <port>`           |               | `9090`                        | Which port web server should listen for requests on.                                                    |
-| `--config <path>`          |               | `configs/models.yaml`          | Configuration file for models and their weights.                                                        |
-| `--iterations <int>`      | `-n<int>`     | `1`                           | How many images to generate per prompt.                                                                 |
-| `--grid`                  | `-g`          | `False`                       | Save all image series as a grid rather than individually.                                               |
-| `--sampler <sampler>`     | `-A<sampler>` | `k_lms`                       | Sampler to use. Use -h to get list of available samplers.                                               |
-| `--seamless`              |               | `False`                       | Create interesting effects by tiling elements of the image.                                             |
-| `--embedding_path <path>` |               | `None`                        | Path to pre-trained embedding manager checkpoints,<br>for custom models                                 |
-| `--gfpgan_dir`            |               | `src/gfpgan`                  | Path to where GFPGAN is installed.                                                                      |
-| `--gfpgan_model_path`     |               | see bellow\*                  | Path to GFPGAN model file, relative to `--gfpgan_dir`.                                                  |
-| `--device <device>`       | `-d<device>`  | `torch.cuda.current_device()` | Device to run SD on, e.g. "cuda:0"                                                                      |
+Argument                  | Shortcut      | Default                       | Description                                                                                           |
+------------------------- | ------------- | ----------------------------- | ----------------------------------------------------------------------------------------------------- |
+`--help`                  | `-h`          |                               | Print a concise help message.                                                                         |
+`--outdir <path>`         | `-o<path>`    | `outputs/img_samples`         | Location for generated images.                                                                        |
+`--prompt_as_dir`         | `-p`          | `False`                       | Name output directories using the prompt text.                                                        |
+`--from_file <path>`       |               | `None`                        | Read list of prompts from a file. Use `-` to read from<br>standard input                               |
+`--model <modelname>`     |               | `stable-diffusion-1.4`        | Loads model specified in configs/models.yaml. Currently<br>one of "stable-diffusion-1.4" or "laion400m" |
+`--full_precision`        | `-F`          | `False`                       | Run in slower full-precision mode. Needed for Macintosh<br>M1/M2 hardware and some older video cards. |
+`--web`                   |               | `False`                       | Start in web server mode                                                                              |
+`--host <ip addr>`        |               | `localhost`                   | Which network interface web server should listen on.<br>Set to 0.0.0.0 to listen on any.              |
+`--port <port>`           |               | `9090`                        | Which port web server should listen for requests on.                                                  |
+`--config <path>`          |               | `configs/models.yaml`          | Configuration file for models and their weights.                                                        |
+`--iterations <int>`      | `-n<int>`     | `1`                           | How many images to generate per prompt.                                                               |
+`--grid`                  | `-g`          | `False`                       | Save all image series as a grid rather than individually.                                             |
+`--sampler <sampler>`     | `-A<sampler>` | `k_lms`                       | Sampler to use. Use -h to get list of available samplers.                                             |
+`--seamless`              |               | `False`                       | Create interesting effects by tiling elements of the image.                                           |
+`--embedding_path <path>` |               | `None`                        | Path to pre-trained embedding manager checkpoints,<br>for custom models                               |
+`--gfpgan_dir`            |               | `src/gfpgan`                  | Path to where GFPGAN is installed.                                                                    |
+`--gfpgan_model_path`     |               | see bellow\*                  | Path to GFPGAN model file, relative to `--gfpgan_dir`.                                                 |
+`--device <device>`       | `-d<device>`  | `torch.cuda.current_device()` | Device to run SD on, e.g. "cuda:0"                                                                    |
 
 \*`experiments/pretrained_models/GFPGANv1.3.pth`
 
@@ -107,7 +107,7 @@ These arguments are deprecated but still work:
 
     On Windows systems, you may run into problems when passing the dream script standard backslashed
     path names because the Python interpreter treats `\` as an escape. You can either double your
-    slashes (ick): `C:\\\\path\\\\to\\\\my\\\\file`, or use Linux/Mac style forward slashes (better):
+    slashes (ick): `C:\\path\\to\\my\\file`, or use Linux/Mac style forward slashes (better):
     `C:/path/to/my/file`.
 
 ### List of prompt arguments
@@ -137,9 +137,9 @@ Those are the `dream` commands that apply to txt2img:
 | `--steps <int>`               | `-s<int>`         | `50`                  | How many steps of refinement to apply                                                                                                                                                                                                                         |
 | `--cfg_scale <float>`          | `-C<float>`        | `7.5`                 | How hard to try to match the prompt to the generated<br>image; any number greater than 0.0<br>works, but the useful range is roughly 5.0 to 20.0                                                                                                             |
 | `--seed <int>`                | `-S<int>`         | `None`                | Set the random seed for the next series of images.<br>This can be used to recreate an image generated previously.                                                                                                                                            |
-| `--sampler <sampler>`         | `-A<sampler>`     | `k_lms`               | Sampler to use. Use `-h` to get list of available samplers.                                                                                                                                                                                                    |
+| `--sampler <sampler>`         | `-A<sampler>`     | `k_lms`               | Sampler to use. Use `-h` to get list of available samplers.                                                                                                                                                                                                  |
 | `--grid`                      | `-g`              | `False`               | Turn on grid mode to return a single image combining<br>all the images generated by this prompt                                                                                                                                                              |
-| `--individual`                | `-i`              | `True`                | Turn off grid mode (deprecated; leave off `--grid` instead)                                                                                                                                                                                                    |
+| `--individual`                | `-i`              | `True`                | Turn off grid mode (deprecated; leave off `--grid` instead)                                                                                                                                                                                                  |
 | `--outdir <path>`             | `-o<path>`        | `outputs/img_samples` | Temporarily change the location of these images                                                                                                                                                                                                              |
 | `--seamless`                  |                   | `False`               | Activate seamless tiling for interesting effects                                                                                                                                                                                                             |
 | `--log_tokenization`          | `-t`              | `False`               | Display a color-coded list of the parsed tokens<br>derived from the prompt                                                                                                                                                                                   |
@@ -175,14 +175,14 @@ chain as the the reference image for each step in the chain.
 
 In addition to the command-line options recognized by txt2img, img2img accepts additional options:
 
-| Argument              | Shortcut   | Default | Description                                                                                                                                |
-| --------------------- | ---------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
-| `--init_img <path>`   | `-I<path>` | `None`  | Path to the initialization image                                                                                                           |
-| `--init_color <path>` |            | `None`  | Path to reference image for color correction               |
-| `--fit`                | `-F`       | `False` | Scale the image to fit into the specified -H and -W dimensions                                                                             |
-| `--strength <float>`   | `-f<float>` | `0.75`  | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99, with higher values replacing the initial image completely. |
+| Argument              | Shortcut   | Default | Description                                                                                                                                   |
+| --------------------- | ---------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------- |
+| `--init_img <path>`   | `-I<path>` | `None`  | Path to the initialization image                                                                                                              |
+| `--init_color <path>` |            | `None`  | Path to reference image for color correction                                                                                                  |
+| `--fit`                | `-F`       | `False` | Scale the image to fit into the specified -H and -W dimensions                                                                                  |
+| `--strength <float>`   | `-f<float>` | `0.75`  | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99,<br>with higher values replacing the initial image completely. |
 
-#### inpainting
+#### Inpainting
 
 !!! example
 
@@ -195,11 +195,11 @@ In addition to the command-line options recognized by txt2img, img2img accepts a
     the areas to overpaint made transparent, but you must be careful not to destroy the pixels
     underneath when you create the transparent areas. See [Inpainting](./INPAINTING.md) for details.
 
-inpainting accepts all the arguments used for txt2img and img2img, as well as the `--mask` (`-M`)
+Inpainting accepts all the arguments used for txt2img and img2img, as well as the `--mask` (`-M`)
 argument:
 
-| Argument             | Shortcut   | Default | Description                                                                                      |
-| -------------------- | ---------- | ------- | ------------------------------------------------------------------------------------------------ |
+| Argument             | Shortcut   | Default | Description                                                                                         |
+| -------------------- | ---------- | ------- | --------------------------------------------------------------------------------------------------- |
 | `--init_mask <path>` | `-M<path>` | `None`  | Path to an image the same size as the initial_image, with areas for<br>inpainting made transparent. |
 
 ## Command-line editing and completion
@@ -226,15 +226,15 @@ winpty python scripts\dream.py
 
 On the Mac and Linux platforms, when you exit `dream.py`, the last 1000 lines of your command-line
 history will be saved. When you restart `dream.py`, you can access the saved history using the
-up-arrow key.
+++up++ key.
 
 In addition, limited command-line completion is installed. In various contexts, you can start typing
 your command and press tab. A list of potential completions will be presented to you. You can then
 type a little more, hit tab again, and eventually autocomplete what you want.
 
 When specifying file paths using the one-letter shortcuts, the CLI will attempt to complete
-pathnames for you. This is most handy for the -I (init image) and -M (init mask) paths. To initiate
-completion, start the path with a slash ("/") or "./". For example:
+pathnames for you. This is most handy for the `-I` (init image) and `-M` (init mask) paths. To initiate
+completion, start the path with a slash `/` or `./`, for example:
 
 ```bash
 dream> "zebra with a mustache" -I./test-pictures<TAB>
@@ -242,6 +242,6 @@ dream> "zebra with a mustache" -I./test-pictures<TAB>
 -I./test-pictures/bad-sketch.png          -I./test-pictures/man_with_eagle/
 ```
 
-You can then type "z", hit ++tab++ again, and it will autofill to "zebra.jpg".
+You can then type ++z++, hit ++tab++ again, and it will autofill to `zebra.jpg`.
 
 More text completion features (such as autocompleting seeds) are on their way.
diff --git a/docs/index.md b/docs/index.md
index c4a524d00b..cb9c358617 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -1,5 +1,6 @@
 ---
 title: Home
+template: main.html
 ---
 
 <!--
@@ -10,7 +11,7 @@ title: Home
   mkdocs serve
   ```
 -->
-<div align="center" markdown="1">
+<div align="center" markdown>
 
 # :material-script-text-outline: Stable Diffusion Dream Script
 
@@ -42,6 +43,7 @@ title: Home
 [latest commit to dev link]: https://github.com/lstein/stable-diffusion/commits/development
 [latest release badge]: https://flat.badgen.net/github/release/lstein/stable-diffusion/development?icon=github
 [latest release link]: https://github.com/lstein/stable-diffusion/releases
+
 </div>
 
 This is a fork of [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion), the open
@@ -93,30 +95,6 @@ You wil need one of the following:
     ```bash
     (ldm) ~/stable-diffusion$ python scripts/dream.py --full_precision
     ```
-
-## :octicons-list-unordered-24: Features
-
-### Major Features
-
-- [Interactive Command Line Interface](features/CLI.md)
-- [Image To Image](features/IMG2IMG.md)
-- [Inpainting Support](features/INPAINTING.md)
-- [GFPGAN and Real-ESRGAN Support](features/UPSCALE.md)
-- [Seamless Tiling](features/OTHER.md#seamless-tiling)
-- [Google Colab](features/OTHER.md#google-colab)
-- [Web Server](features/WEB.md)
-- [Reading Prompts From File](features/OTHER.md#reading-prompts-from-a-file)
-- [Shortcut: Reusing Seeds](features/OTHER.md#shortcuts-reusing-seeds)
-- [Weighted Prompts](features/OTHER.md#weighted-prompts)
-- [Variations](features/VARIATIONS.md)
-- [Personalizing Text-to-Image Generation](features/TEXTUAL_INVERSION.md)
-- [Simplified API for text to image generation](features/OTHER.md#simplified-api)
-
-### Other Features
-
-- [Creating Transparent Regions for Inpainting](features/INPAINTING.md#creating-transparent-regions-for-inpainting)
-- [Preload Models](features/OTHER.md#preload-models)
-
 ## :octicons-log-16: Latest Changes
 
 ### v1.14 <small>(11 September 2022)</small>
diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index d45a1140af..a305b8912b 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -83,14 +83,14 @@ While that is downloading, open a Terminal and run the following commands:
     === "with pyenv"
 
         ```{.bash .annotate}
-        brew install rust pyenv-virtualenv # (1)
+        brew install rust pyenv-virtualenv # (1)!
         pyenv install anaconda3-2022.05
         pyenv virtualenv anaconda3-2022.05
         eval "$(pyenv init -)"
         pyenv activate anaconda3-2022.05
         ```
         
-        1. you might already have this installed, no problem
+        1. You might already have this installed, if that is the case just continue.
 
 ```{.bash .annotate title="local repo setup"}
 # clone the repo
@@ -102,7 +102,7 @@ cd stable-diffusion
 # create symlink to checkpoint
 mkdir -p models/ldm/stable-diffusion-v1/
 
-PATH_TO_CKPT="$HOME/Downloads" # (1)
+PATH_TO_CKPT="$HOME/Downloads" # (1)!
 
 ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" \
   models/ldm/stable-diffusion-v1/model.ckpt
@@ -136,7 +136,7 @@ ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" \
 python scripts/preload_models.py
 
 # now you can run SD in CLI mode
-python scripts/dream.py --full_precision  # (1)
+python scripts/dream.py --full_precision  # (1)!
 
 # or run the web interface!
 python scripts/dream.py --web
@@ -169,9 +169,7 @@ get several errors. Here's the errors I've seen and found solutions for.
 
 ### Is it slow?
 
-Be sure to specify 1 sample and 1 iteration.
-
-```bash
+```bash title="Be sure to specify 1 sample and 1 iteration."
 python ./scripts/orig_scripts/txt2img.py \
   --prompt "ocean" \
   --ddim_steps 5 \
@@ -197,8 +195,8 @@ One debugging step is to update to the latest version of PyTorch nightly.
 conda install \
   pytorch \
   torchvision \
-  torchaudio \
-  -c pytorch-nightly
+  -c pytorch-nightly \
+  -n ldm
 ```
 
 If it takes forever to run
@@ -397,7 +395,7 @@ python scripts/preload_models.py
     WARNING: this will be slower than running natively on MPS.
     ```
 
-The lstein branch includes this fix in
+This fork already includes a fix for this in
 [environment-mac.yaml](https://github.com/lstein/stable-diffusion/blob/main/environment-mac.yaml).
 
 ---

From e92122f2c2ea3340c7970ac1d767b4ff31bc5247 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Mon, 19 Sep 2022 08:38:46 +0200
Subject: [PATCH 081/110] update requirements-mkdocs.txt

---
 requirements-mkdocs.txt | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/requirements-mkdocs.txt b/requirements-mkdocs.txt
index 4f79605650..42c56a9a2e 100644
--- a/requirements-mkdocs.txt
+++ b/requirements-mkdocs.txt
@@ -1,3 +1,3 @@
-mkdocs==1.3.1
-mkdocs-material==8.5.1
-mkdocs-git-revision-date-localized-plugin==1.1.0
+mkdocs
+mkdocs-material>=8, <9
+mkdocs-git-revision-date-localized-plugin

From 2a6999d500d1d95a2fd454497255ca61467aeb21 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 19 Sep 2022 17:38:56 +1000
Subject: [PATCH 082/110] Fixes various issues with metadata handling

---
 ldm/dream/args.py | 57 ++++++++++++++++++++++++++++-------------------
 1 file changed, 34 insertions(+), 23 deletions(-)

diff --git a/ldm/dream/args.py b/ldm/dream/args.py
index db6d963645..ada8975e96 100644
--- a/ldm/dream/args.py
+++ b/ldm/dream/args.py
@@ -174,31 +174,37 @@ class Args(object):
         switches.append(f'-W {a["width"]}')
         switches.append(f'-H {a["height"]}')
         switches.append(f'-C {a["cfg_scale"]}')
-        switches.append(f'-A {a["sampler_name"]}')
         if a['grid']:
             switches.append('--grid')
         if a['seamless']:
             switches.append('--seamless')
+
+        # img2img generations have parameters relevant only to them and have special handling
         if a['init_img'] and len(a['init_img'])>0:
             switches.append(f'-I {a["init_img"]}')
-        if a['init_mask'] and len(a['init_mask'])>0:
-            switches.append(f'-M {a["init_mask"]}')
-        if a['init_color'] and len(a['init_color'])>0:
-            switches.append(f'--init_color {a["init_color"]}')
-        if a['fit']:
-            switches.append(f'--fit')
-        if a['init_img'] and a['strength'] and a['strength']>0:
-            switches.append(f'-f {a["strength"]}')
+            switches.append(f'-A ddim') # TODO: FIX ME WHEN IMG2IMG SUPPORTS ALL SAMPLERS
+            if a['fit']:
+                switches.append(f'--fit')
+            if a['init_mask'] and len(a['init_mask'])>0:
+                switches.append(f'-M {a["init_mask"]}')
+            if a['init_color'] and len(a['init_color'])>0:
+                switches.append(f'--init_color {a["init_color"]}')
+            if a['strength'] and a['strength']>0:
+                switches.append(f'-f {a["strength"]}')
+        else:
+            switches.append(f'-A {a["sampler_name"]}')
+
+        # gfpgan-specific parameters
         if a['gfpgan_strength']:
             switches.append(f'-G {a["gfpgan_strength"]}')
+
+        # esrgan-specific parameters
         if a['upscale']:
             switches.append(f'-U {" ".join([str(u) for u in a["upscale"]])}')
         if a['embiggen']:
             switches.append(f'--embiggen {" ".join([str(u) for u in a["embiggen"]])}')
         if a['embiggen_tiles']:
             switches.append(f'--embiggen_tiles {" ".join([str(u) for u in a["embiggen_tiles"]])}')
-        if a['variation_amount'] > 0:
-            switches.append(f'-v {a["variation_amount"]}')
         if a['with_variations']:
             formatted_variations = ','.join(f'{seed}:{weight}' for seed, weight in (a["with_variations"]))
             switches.append(f'-V {formatted_variations}')
@@ -618,18 +624,24 @@ def metadata_dumps(opt,
         postprocessing=postprocessing
     )
 
-    # TODO: This is just a hack until postprocessing pipeline work completed
-    image_dict['postprocessing'] = []
-    if image_dict['gfpgan_strength'] and image_dict['gfpgan_strength'] > 0:
-        image_dict['postprocessing'].append('GFPGAN (not RFC compliant)')
-    if image_dict['upscale'] and image_dict['upscale'][0] > 0:
-        image_dict['postprocessing'].append('ESRGAN  (not RFC compliant)')
+    # 'postprocessing' is either null or an array of postprocessing metadatal
+    if postprocessing:
+        # TODO: This is just a hack until postprocessing pipeline work completed
+        image_dict['postprocessing'] = []
+
+        if image_dict['gfpgan_strength'] and image_dict['gfpgan_strength'] > 0:
+            image_dict['postprocessing'].append('GFPGAN (not RFC compliant)')
+        if image_dict['upscale'] and image_dict['upscale'][0] > 0:
+            image_dict['postprocessing'].append('ESRGAN (not RFC compliant)')
+    else:
+        image_dict['postprocessing'] = None
 
     # remove any image keys not mentioned in RFC #266
     rfc266_img_fields = ['type','postprocessing','sampler','prompt','seed','variations','steps',
                          'cfg_scale','step_number','width','height','extra','strength']
 
     rfc_dict ={}
+
     for item in image_dict.items():
         key,value = item
         if key in rfc266_img_fields:
@@ -637,25 +649,24 @@ def metadata_dumps(opt,
 
     # semantic drift
     rfc_dict['sampler']  = image_dict.get('sampler_name',None)
-        
+
     # display weighted subprompts (liable to change)
     if opt.prompt:
         subprompts = split_weighted_subprompts(opt.prompt)
         subprompts = [{'prompt':x[0],'weight':x[1]} for x in subprompts]
         rfc_dict['prompt'] = subprompts
 
-    # variations
-    if opt.with_variations:
-        variations = [{'seed':x[0],'weight':x[1]} for x in opt.with_variations]
-        rfc_dict['variations'] = variations
+    # 'variations' should always exist and be an array, empty or consisting of {'seed': seed, 'weight': weight} pairs
+    rfc_dict['variations'] = [{'seed':x[0],'weight':x[1]} for x in opt.with_variations] if opt.with_variations else []
 
     if opt.init_img:
         rfc_dict['type']           = 'img2img'
         rfc_dict['strength_steps'] = rfc_dict.pop('strength')
         rfc_dict['orig_hash']      = calculate_init_img_hash(opt.init_img)
-        rfc_dict['sampler']        = 'ddim'  # FIX ME WHEN IMG2IMG SUPPORTS ALL SAMPLERS
+        rfc_dict['sampler']        = 'ddim'  # TODO: FIX ME WHEN IMG2IMG SUPPORTS ALL SAMPLERS
     else:
         rfc_dict['type']  = 'txt2img'
+        rfc_dict.pop('strength')
 
     if len(seeds)==0 and opt.seed:
         seeds=[seed]

From e59307d2841602b9d681150e2190aa7c1cf2936c Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Mon, 19 Sep 2022 12:34:34 +0200
Subject: [PATCH 083/110] fixed incompatible syntax of inpainting PS section
 this was the best looking result I could come up with.

---
 docs/features/INPAINTING.md | 82 +++++++++++++++++++++++++------------
 1 file changed, 55 insertions(+), 27 deletions(-)

diff --git a/docs/features/INPAINTING.md b/docs/features/INPAINTING.md
index 7408efde89..66ad47ffdd 100644
--- a/docs/features/INPAINTING.md
+++ b/docs/features/INPAINTING.md
@@ -28,6 +28,8 @@ dream> "man with cat on shoulder" -I./images/man.png -M./images/man-transparent.
 
 We are hoping to get rid of the need for this workaround in an upcoming release.
 
+---
+
 ## Recipe for GIMP
 
 [GIMP](https://www.gimp.org/) is a popular Linux photoediting tool.
@@ -42,41 +44,67 @@ We are hoping to get rid of the need for this workaround in an upcoming release.
 8. In the export dialogue, Make sure the "Save colour values from
    transparent pixels" checkbox is selected.
 
+---
 
 ## Recipe for Adobe Photoshop
 
-1. Open image in Photoshop
-<p align='left'>
-<img src="../assets/step1.png"/>
-</p>
+![step1](../assets/step1.png){ align=right loading=lazy width=250 }
 
-2. Use any of the selection tools (Marquee, Lasso, or Wand) to select the area you desire to inpaint.
-<p align='left'>
-<img src="../assets/step2.png"/>
-</p>
+1) Open image in Photoshop
 
-3. Because we'll be applying a mask over the area we want to preserve, you should now select the inverse by using the Shift + Ctrl + I shortcut, or right clicking and using the "Select Inverse" option.
+<figure markdown>
 
-4. You'll now create a mask by selecting the image layer, and Masking the selection. Make sure that you don't delete any of the underlying image, or your inpainting results will be dramatically impacted.
-<p align='left'>
-<img src="../assets/step4.png"/>
-</p>
+---
 
-5. Make sure to hide any background layers that are present. You should see the mask applied to your image layer, and the image on your canvas should display the checkered background.
-<p align='left'>
-<img src="../assets/step5.png"/>
-</p>
+![step2](../assets/step2.png){align=right loading=lazy}
 
-<p align='left'>
-<img src="../assets/step6.png"/>
-</p>
+2) Use any of the selection tools (Marquee, Lasso, or Wand) to select the area you desire to inpaint.
 
-6. Save the image as a transparent PNG by using the "Save a Copy" option in the File menu, or using the Alt + Ctrl + S keyboard shortcut.
+</figure>
 
-7. After following the inpainting instructions above (either through the CLI or the Web UI), marvel at your newfound ability to selectively dream. Lookin' good!
-<p align='left'>
-<img src="../assets/step7.png"/>
-</p>
+---
 
-8. In the export dialogue, Make sure the "Save colour values from transparent pixels" checkbox is
-   selected.
+3) Because we'll be applying a mask over the area we want to preserve, you should now select the inverse by using the ++shift+ctrl+i++ shortcut, or right clicking and using the "Select Inverse" option.
+
+<figure markdown>
+
+---
+
+![step4](../assets/step4.png){align=right loading=lazy width=250}
+
+4) You'll now create a mask by selecting the image layer, and Masking the selection. Make sure that you don't delete any of the undrlying image, or your inpainting results will be dramatically impacted.
+
+</figure>
+
+<figure markdown>
+
+---
+
+![step5](../assets/step5.png){align=right loading=lazy width=250}
+
+5) Make sure to hide any background layers that are present. You should see the mask applied to your image layer, and the image on your canvas should display the checkered background.
+
+---
+
+</figure>
+
+<figure markdown>
+
+![step6](../assets/step6.png){align=right loading=lazy width=250}
+
+6) Save the image as a transparent PNG by using the "Save a Copy" option in the File menu, or using the Alt + Ctrl + S keyboard shortcut
+
+</figure>
+
+---
+<figure markdown>
+
+![step7](../assets/step7.png){align=right loading=lazy width=250}
+
+7) After following the inpainting instructions above (either through the CLI or the Web UI), marvel at your newfound ability to selectively dream. Lookin' good!
+
+</figure>
+
+---
+
+8) In the export dialogue, Make sure the "Save colour values from transparent pixels" checkbox is selected.  

From 57577401bd72155cf03069146c879f4d9e5fb86f Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Mon, 19 Sep 2022 11:53:47 +1000
Subject: [PATCH 084/110] Fixes metadata_loads() #686

---
 ldm/dream/args.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/ldm/dream/args.py b/ldm/dream/args.py
index 7d8f473b4a..db6d963645 100644
--- a/ldm/dream/args.py
+++ b/ldm/dream/args.py
@@ -681,7 +681,10 @@ def metadata_loads(metadata):
     '''
     results = []
     try:
-        images = metadata['sd-metadata']['images']
+        if 'grid' in metadata['sd-metadata']:
+            images = metadata['sd-metadata']['images']
+        else:
+            images = [metadata['sd-metadata']['image']]
         for image in images:
             # repack the prompt and variations
             image['prompt']     = ','.join([':'.join([x['prompt'],   str(x['weight'])]) for x in image['prompt']])

From c6e4352c3f65768f185808bc81e6a05ac2c79f6b Mon Sep 17 00:00:00 2001
From: JamDon2 <25279396+JamDon2@users.noreply.github.com>
Date: Mon, 19 Sep 2022 22:14:58 +0200
Subject: [PATCH 085/110] Add missing option to wget command

---
 docs/features/UPSCALE.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/features/UPSCALE.md b/docs/features/UPSCALE.md
index 51f49a70d8..381d2b90ec 100644
--- a/docs/features/UPSCALE.md
+++ b/docs/features/UPSCALE.md
@@ -15,7 +15,7 @@ copy the GFPGAN [models file](https://github.com/TencentARC/GFPGAN/releases/down
 into **src/gfpgan/experiments/pretrained_models**. On Mac and Linux systems, here's how you'd do it using
 **wget**:
 ~~~~
-> wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth src/gfpgan/experiments/pretrained_models/
+> wget https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth -P src/gfpgan/experiments/pretrained_models/
 ~~~~
 
 Make sure that you're in the stable-diffusion directory when you do this.

From 06ad4387a20e9a512ca2601380fce3fc588b4b85 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Tue, 20 Sep 2022 06:29:02 +0200
Subject: [PATCH 086/110] update Recipe for Photoshop this way the view doesn't
 break that fast

---
 docs/features/INPAINTING.md | 73 +++++++++++++------------------------
 1 file changed, 26 insertions(+), 47 deletions(-)

diff --git a/docs/features/INPAINTING.md b/docs/features/INPAINTING.md
index 66ad47ffdd..c211a49b2c 100644
--- a/docs/features/INPAINTING.md
+++ b/docs/features/INPAINTING.md
@@ -48,63 +48,42 @@ We are hoping to get rid of the need for this workaround in an upcoming release.
 
 ## Recipe for Adobe Photoshop
 
-![step1](../assets/step1.png){ align=right loading=lazy width=250 }
+1. Open image in Photoshop
 
-1) Open image in Photoshop
+    <figure markdown>
+    ![step1](../assets/step1.png)
+    </figure>
 
-<figure markdown>
+2. Use any of the selection tools (Marquee, Lasso, or Wand) to select the area you desire to inpaint.
 
----
+    <figure markdown>
+    ![step2](../assets/step2.png)
+    </figure>
 
-![step2](../assets/step2.png){align=right loading=lazy}
+3. Because we'll be applying a mask over the area we want to preserve, you should now select the inverse by using the ++shift+ctrl+i++ shortcut, or right clicking and using the "Select Inverse" option.
 
-2) Use any of the selection tools (Marquee, Lasso, or Wand) to select the area you desire to inpaint.
+4. You'll now create a mask by selecting the image layer, and Masking the selection. Make sure that you don't delete any of the undrlying image, or your inpainting results will be dramatically impacted.
 
-</figure>
+    <figure markdown>
+    ![step4](../assets/step4.png)
+    </figure>
 
----
+5. Make sure to hide any background layers that are present. You should see the mask applied to your image layer, and the image on your canvas should display the checkered background.
 
-3) Because we'll be applying a mask over the area we want to preserve, you should now select the inverse by using the ++shift+ctrl+i++ shortcut, or right clicking and using the "Select Inverse" option.
+    <figure markdown>
+    ![step5](../assets/step5.png)
+    </figure>
 
-<figure markdown>
+6. Save the image as a transparent PNG by using the "Save a Copy" option in the File menu, or using the Alt + Ctrl + S keyboard shortcut
 
----
+    <figure markdown>
+    ![step6](../assets/step6.png)
+    </figure>
 
-![step4](../assets/step4.png){align=right loading=lazy width=250}
+7. After following the inpainting instructions above (either through the CLI or the Web UI), marvel at your newfound ability to selectively dream. Lookin' good!
 
-4) You'll now create a mask by selecting the image layer, and Masking the selection. Make sure that you don't delete any of the undrlying image, or your inpainting results will be dramatically impacted.
+    <figure markdown>
+    ![step7](../assets/step7.png)
+    </figure>
 
-</figure>
-
-<figure markdown>
-
----
-
-![step5](../assets/step5.png){align=right loading=lazy width=250}
-
-5) Make sure to hide any background layers that are present. You should see the mask applied to your image layer, and the image on your canvas should display the checkered background.
-
----
-
-</figure>
-
-<figure markdown>
-
-![step6](../assets/step6.png){align=right loading=lazy width=250}
-
-6) Save the image as a transparent PNG by using the "Save a Copy" option in the File menu, or using the Alt + Ctrl + S keyboard shortcut
-
-</figure>
-
----
-<figure markdown>
-
-![step7](../assets/step7.png){align=right loading=lazy width=250}
-
-7) After following the inpainting instructions above (either through the CLI or the Web UI), marvel at your newfound ability to selectively dream. Lookin' good!
-
-</figure>
-
----
-
-8) In the export dialogue, Make sure the "Save colour values from transparent pixels" checkbox is selected.  
+8. In the export dialogue, Make sure the "Save colour values from transparent pixels" checkbox is selected.  

From 96b90be5c31376ef9ce1ba1b3933c70ba8e9c1f5 Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Tue, 20 Sep 2022 06:46:51 +0200
Subject: [PATCH 087/110] make pictures in variations appear centered also
 added captions to most of them

---
 docs/features/VARIATIONS.md | 28 ++++++++++++++++++++--------
 1 file changed, 20 insertions(+), 8 deletions(-)

diff --git a/docs/features/VARIATIONS.md b/docs/features/VARIATIONS.md
index 2a4098ddd0..d07dc13c76 100644
--- a/docs/features/VARIATIONS.md
+++ b/docs/features/VARIATIONS.md
@@ -45,9 +45,10 @@ Outputs:
 ./outputs/Xena/000001.3357757885.png: "prompt" -s50 -W512 -H512 -C7.5 -Ak_lms -S3357757885
 ```
 
-The one with seed 3357757885 looks nice:
-
-![var1](../assets/variation_walkthru/000001.3357757885.png)
+<figure markdown>
+  ![var1](../assets/variation_walkthru/000001.3357757885.png)
+  <figcaption>Seed 3357757885 looks nice</figcaption>
+</figure>
 
 ---
 
@@ -79,15 +80,21 @@ used to generate it.
 This gives us a series of closely-related variations, including the two shown
 here.
 
-![var2](../assets/variation_walkthru/000002.3647897225.png) 
+<figure markdown>
+  ![var2](../assets/variation_walkthru/000002.3647897225.png)
+  <figcaption>subseed 3647897225</figcaption>
+</figure>
 
-![var3](../assets/variation_walkthru/000002.1614299449.png)
+<figure markdown>
+  ![var3](../assets/variation_walkthru/000002.1614299449.png)
+  <figcaption>subseed 1614299449</figcaption>
+</figure>
 
 I like the expression on Xena's face in the first one (subseed 3647897225), and
 the armor on her shoulder in the second one (subseed 1614299449). Can we combine
 them to get the best of both worlds?
 
-We combine the two variations using `-V` (--with_variations). Again, we must
+We combine the two variations using `-V` (`--with_variations`). Again, we must
 provide the seed for the originally-chosen image in order for this to work.
 
 ```bash
@@ -99,7 +106,9 @@ Outputs:
 Here we are providing equal weights (0.1 and 0.1) for both the subseeds. The
 resulting image is close, but not exactly what I wanted:
 
-![var4](../assets/variation_walkthru/000003.1614299449.png)
+<figure markdown>
+  ![var4](../assets/variation_walkthru/000003.1614299449.png)
+</figure>
 
 We could either try combining the images with different weights, or we can
 generate more variations around the almost-but-not-quite image. We do the
@@ -120,7 +129,10 @@ Outputs:
 This produces six images, all slight variations on the combination of the chosen
 two images. Here's the one I like best:
 
-![var5](../assets/variation_walkthru/000004.3747154981.png)
+<figure markdown>
+  ![var5](../assets/variation_walkthru/000004.3747154981.png)
+  <figcaption>000004.3747154981.png</figcaption>
+</figure>
 
 As you can see, this is a very powerful tool, which when combined with subprompt
 weighting, gives you great control over the content and quality of your

From 7335f908af7a7a480fc14d1b4ac7f587060a83dd Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Tue, 20 Sep 2022 06:53:04 +0200
Subject: [PATCH 088/110] center pictures in prompt.md

---
 docs/features/PROMPTS.md | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/docs/features/PROMPTS.md b/docs/features/PROMPTS.md
index f3bb9cef86..c0ae2e3907 100644
--- a/docs/features/PROMPTS.md
+++ b/docs/features/PROMPTS.md
@@ -62,25 +62,33 @@ original prompt:
 
 `#!bash "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180`
 
+<figure markdown>
 ![step1](../assets/negative_prompt_walkthru/step1.png)
+</figure>
 
 That image has a woman, so if we want the horse without a rider, we can influence the image not to have a woman by putting [woman] in the prompt, like this:
 
 `#!bash "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180`
 
+<figure markdown>
 ![step2](../assets/negative_prompt_walkthru/step2.png)
+</figure>
 
 That's nice - but say we also don't want the image to be quite so blue. We can add "blue" to the list of negative prompts, so it's now [woman blue]:
 
 `#!bash "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman blue]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180`
 
+<figure markdown>
 ![step3](../assets/negative_prompt_walkthru/step3.png)
+</figure>
 
 Getting close - but there's no sense in having a saddle when our horse doesn't have a rider, so we'll add one more negative prompt: [woman blue saddle].
 
 `#!bash "A fantastical translucent poney made of water and foam, ethereal, radiant, hyperalism, scottish folklore, digital painting, artstation, concept art, smooth, 8 k frostbite 3 engine, ultra detailed, art by artgerm and greg rutkowski and magali villeneuve [woman blue saddle]" -s 20 -W 512 -H 768 -C 7.5 -A k_euler_a -S 1654590180`
 
+<figure markdown>
 ![step4](../assets/negative_prompt_walkthru/step4.png)
+</figure>
 
 !!! notes "Notes about this feature:"
 

From 38c9001e8edc3bede8f550975be4ea03ad1a9e2e Mon Sep 17 00:00:00 2001
From: mauwii <Mauwii@outlook.de>
Date: Tue, 20 Sep 2022 10:11:34 +0200
Subject: [PATCH 089/110] remove line-breaks from tables in CLI instead I use
 empty img-tags with defined width in the table headers

---
 docs/features/CLI.md | 153 ++++++++++++++++++++++---------------------
 1 file changed, 78 insertions(+), 75 deletions(-)

diff --git a/docs/features/CLI.md b/docs/features/CLI.md
index 3287c07827..aab695bbcd 100644
--- a/docs/features/CLI.md
+++ b/docs/features/CLI.md
@@ -11,9 +11,10 @@ hide:
 The `dream.py` script, located in `scripts/dream.py`, provides an interactive interface to image
 generation similar to the "dream mothership" bot that Stable AI provided on its Discord server.
 
-Unlike the `txt2img.py` and `img2img.py` scripts provided in the original [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion)
-source code repository, the time-consuming initialization of the AI model initialization only
-happens once. After that image generation from the command-line interface is very fast.
+Unlike the `txt2img.py` and `img2img.py` scripts provided in the original
+[CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion) source code repository, the
+time-consuming initialization of the AI model initialization only happens once. After that image
+generation from the command-line interface is very fast.
 
 The script uses the readline library to allow for in-line editing, command history (++up++ and
 ++down++), autocompletion, and more. To help keep track of which prompts generated which images, the
@@ -57,8 +58,8 @@ dream> q
 
 The `dream>` prompt's arguments are pretty much identical to those used in the Discord bot, except
 you don't need to type "!dream" (it doesn't hurt if you do). A significant change is that creation
-of individual images is now the default unless `--grid` (`-g`) is given. A full list is given in [List
-of prompt arguments](#list-of-prompt-arguments).
+of individual images is now the default unless `--grid` (`-g`) is given. A full list is given in
+[List of prompt arguments](#list-of-prompt-arguments).
 
 ## Arguments
 
@@ -67,41 +68,43 @@ global defaults, such as the directory for image outputs and the location of the
 
 ### List of arguments recognized at the command line
 
-These command-line arguments can be passed to `dream.py` when you first run it from the Windows, Mac◊
+These command-line arguments can be passed to `dream.py` when you first run it from the Windows, Mac
 or Linux command line. Some set defaults that can be overridden on a per-prompt basis (see [List of
 prompt arguments] (#list-of-prompt-arguments). Others
 
-Argument                  | Shortcut      | Default                       | Description                                                                                           |
-------------------------- | ------------- | ----------------------------- | ----------------------------------------------------------------------------------------------------- |
-`--help`                  | `-h`          |                               | Print a concise help message.                                                                         |
-`--outdir <path>`         | `-o<path>`    | `outputs/img_samples`         | Location for generated images.                                                                        |
-`--prompt_as_dir`         | `-p`          | `False`                       | Name output directories using the prompt text.                                                        |
-`--from_file <path>`       |               | `None`                        | Read list of prompts from a file. Use `-` to read from<br>standard input                               |
-`--model <modelname>`     |               | `stable-diffusion-1.4`        | Loads model specified in configs/models.yaml. Currently<br>one of "stable-diffusion-1.4" or "laion400m" |
-`--full_precision`        | `-F`          | `False`                       | Run in slower full-precision mode. Needed for Macintosh<br>M1/M2 hardware and some older video cards. |
-`--web`                   |               | `False`                       | Start in web server mode                                                                              |
-`--host <ip addr>`        |               | `localhost`                   | Which network interface web server should listen on.<br>Set to 0.0.0.0 to listen on any.              |
-`--port <port>`           |               | `9090`                        | Which port web server should listen for requests on.                                                  |
-`--config <path>`          |               | `configs/models.yaml`          | Configuration file for models and their weights.                                                        |
-`--iterations <int>`      | `-n<int>`     | `1`                           | How many images to generate per prompt.                                                               |
-`--grid`                  | `-g`          | `False`                       | Save all image series as a grid rather than individually.                                             |
-`--sampler <sampler>`     | `-A<sampler>` | `k_lms`                       | Sampler to use. Use -h to get list of available samplers.                                             |
-`--seamless`              |               | `False`                       | Create interesting effects by tiling elements of the image.                                           |
-`--embedding_path <path>` |               | `None`                        | Path to pre-trained embedding manager checkpoints,<br>for custom models                               |
-`--gfpgan_dir`            |               | `src/gfpgan`                  | Path to where GFPGAN is installed.                                                                    |
-`--gfpgan_model_path`     |               | see bellow\*                  | Path to GFPGAN model file, relative to `--gfpgan_dir`.                                                 |
-`--device <device>`       | `-d<device>`  | `torch.cuda.current_device()` | Device to run SD on, e.g. "cuda:0"                                                                    |
-
-\*`experiments/pretrained_models/GFPGANv1.3.pth`
+| Argument <img width="240" align="right"/> | Shortcut <img width="100" align="right"/> | Default <img width="320" align="right"/>       | Description                                                                                          |
+| ----------------------------------------- | ----------------------------------------- | ---------------------------------------------- | ---------------------------------------------------------------------------------------------------- |
+| `--help`                                  | `-h`                                      |                                                | Print a concise help message.                                                                        |
+| `--outdir <path>`                         | `-o<path>`                                | `outputs/img_samples`                          | Location for generated images.                                                                       |
+| `--prompt_as_dir`                         | `-p`                                      | `False`                                        | Name output directories using the prompt text.                                                       |
+| `--from_file <path>`                      |                                           | `None`                                         | Read list of prompts from a file. Use `-` to read from standard input                                |
+| `--model <modelname>`                     |                                           | `stable-diffusion-1.4`                         | Loads model specified in configs/models.yaml. Currently one of "stable-diffusion-1.4" or "laion400m" |
+| `--full_precision`                        | `-F`                                      | `False`                                        | Run in slower full-precision mode. Needed for Macintosh M1/M2 hardware and some older video cards.   |
+| `--web`                                   |                                           | `False`                                        | Start in web server mode                                                                             |
+| `--host <ip addr>`                        |                                           | `localhost`                                    | Which network interface web server should listen on. Set to 0.0.0.0 to listen on any.                |
+| `--port <port>`                           |                                           | `9090`                                         | Which port web server should listen for requests on.                                                 |
+| `--config <path>`                         |                                           | `configs/models.yaml`                          | Configuration file for models and their weights.                                                     |
+| `--iterations <int>`                      | `-n<int>`                                 | `1`                                            | How many images to generate per prompt.                                                              |
+| `--grid`                                  | `-g`                                      | `False`                                        | Save all image series as a grid rather than individually.                                            |
+| `--sampler <sampler>`                     | `-A<sampler>`                             | `k_lms`                                        | Sampler to use. Use `-h` to get list of available samplers.                                          |
+| `--seamless`                              |                                           | `False`                                        | Create interesting effects by tiling elements of the image.                                          |
+| `--embedding_path <path>`                 |                                           | `None`                                         | Path to pre-trained embedding manager checkpoints, for custom models                                 |
+| `--gfpgan_dir`                            |                                           | `src/gfpgan`                                   | Path to where GFPGAN is installed.                                                                   |
+| `--gfpgan_model_path`                     |                                           | `experiments/pretrained_models/GFPGANv1.3.pth` | Path to GFPGAN model file, relative to `--gfpgan_dir`.                                               |
+| `--device <device>`                       | `-d<device>`                              | `torch.cuda.current_device()`                  | Device to run SD on, e.g. "cuda:0"                                                                   |
 
 #### deprecated
 
 These arguments are deprecated but still work:
 
-| Argument           | Shortcut | Default | Description                                                    |
-| ------------------ | -------- | ------- | -------------------------------------------------------------- |
+<figure markdown>
+
+| Argument           | Shortcut | Default | Description                                                     |
+| ------------------ | -------- | ------- | --------------------------------------------------------------- |
 | `--weights <path>` |          | `None`  | Pth to weights file; use `--model stable-diffusion-1.4` instead |
-| `--laion400m`      | `-l`     | `False` | Use older LAION400m weights; use `--model=laion400m` instead   |
+| `--laion400m`      | `-l`     | `False` | Use older LAION400m weights; use `--model=laion400m` instead    |
+
+</figure>
 
 !!! note
 
@@ -112,9 +115,9 @@ These arguments are deprecated but still work:
 
 ### List of prompt arguments
 
-After the `dream.py` script initializes, it will present you with a **`dream>`** prompt. Here you can
-enter information to generate images from text (txt2img), to embellish an existing image or sketch
-(img2img), or to selectively alter chosen regions of the image (inpainting).
+After the `dream.py` script initializes, it will present you with a **`dream>`** prompt. Here you
+can enter information to generate images from text (txt2img), to embellish an existing image or
+sketch (img2img), or to selectively alter chosen regions of the image (inpainting).
 
 #### txt2img
 
@@ -128,27 +131,27 @@ enter information to generate images from text (txt2img), to embellish an existi
 
 Those are the `dream` commands that apply to txt2img:
 
-| Argument                      | Shortcut          | Default               | Description                                                                                                                                                                                                                                                  |
-| ----------------------------- | ----------------- | --------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
-| `"my prompt"`                 |                   |                       | Text prompt to use. The quotation marks are optional.                                                                                                                                                                                                        |
-| `--width <int>`               | `-W<int>`         | `512`                 | Width of generated image                                                                                                                                                                                                                                     |
-| `--height <int>`              | `-H<int>`         | `512`                 | Height of generated image                                                                                                                                                                                                                                    |
-| `--iterations <int>`          | `-n<int>`         | `1`                   | How many images to generate from this prompt                                                                                                                                                                                                                 |
-| `--steps <int>`               | `-s<int>`         | `50`                  | How many steps of refinement to apply                                                                                                                                                                                                                         |
-| `--cfg_scale <float>`          | `-C<float>`        | `7.5`                 | How hard to try to match the prompt to the generated<br>image; any number greater than 0.0<br>works, but the useful range is roughly 5.0 to 20.0                                                                                                             |
-| `--seed <int>`                | `-S<int>`         | `None`                | Set the random seed for the next series of images.<br>This can be used to recreate an image generated previously.                                                                                                                                            |
-| `--sampler <sampler>`         | `-A<sampler>`     | `k_lms`               | Sampler to use. Use `-h` to get list of available samplers.                                                                                                                                                                                                  |
-| `--grid`                      | `-g`              | `False`               | Turn on grid mode to return a single image combining<br>all the images generated by this prompt                                                                                                                                                              |
-| `--individual`                | `-i`              | `True`                | Turn off grid mode (deprecated; leave off `--grid` instead)                                                                                                                                                                                                  |
-| `--outdir <path>`             | `-o<path>`        | `outputs/img_samples` | Temporarily change the location of these images                                                                                                                                                                                                              |
-| `--seamless`                  |                   | `False`               | Activate seamless tiling for interesting effects                                                                                                                                                                                                             |
-| `--log_tokenization`          | `-t`              | `False`               | Display a color-coded list of the parsed tokens<br>derived from the prompt                                                                                                                                                                                   |
-| `--skip_normalization`        | `-x`              | `False`               | Weighted subprompts will not be normalized. See<br>[Weighted Prompts](./OTHER.md#weighted-prompts)                                                                                                                                                           |
-| `--upscale <int> <float>`      | `-U <int> <float>` | `-U 1 0.75`           | Upscale image by magnification factor (2, 4), and<br>set strength of upscaling (0.0-1.0).<br>If strength not set, will default to 0.75.                                                                                                                       |
-| `--gfpgan_strength <float>`    | `-G <float>`       | `-G0`                 | Fix faces using the GFPGAN algorithm; argument<br>indicates how hard the algorithm should try (0.0-1.0)                                                                                                                                                      |
-| `--save_original`             | `-save_orig`      | `False`               | When upscaling or fixing faces, this will cause<br>the original image to be saved rather than replaced.                                                                                                                                                       |
-| `--variation <float>`          | `-v<float>`        | `0.0`                 | Add a bit of noise (0.0=none, 1.0=high) to the image<br>in order to generate a series of variations. Usually<br>used in combination with `-S<seed>` and `-n<int>`<br>to generate a series a riffs on a starting image.<br>See [Variations](./VARIATIONS.md). |
-| `--with_variations <pattern>` | `-V<pattern>`     | `None`                | Combine two or more variations. See [Variations](./VARIATIONS.md)<br>for now to use this.                                                                                                                                                                    |
+| Argument <img width="680" align="right"/> | Shortcut <img width="420" align="right"/> | Default <img width="480" align="right"/> | Description                                                                                                                                                                                                                                      |
+| ----------------------------------------- | ----------------------------------------- | ---------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
+| `"my prompt"`                             |                                           |                                          | Text prompt to use. The quotation marks are optional.                                                                                                                                                                                            |
+| `--width <int>`                           | `-W<int>`                                 | `512`                                    | Width of generated image                                                                                                                                                                                                                         |
+| `--height <int>`                          | `-H<int>`                                 | `512`                                    | Height of generated image                                                                                                                                                                                                                        |
+| `--iterations <int>`                      | `-n<int>`                                 | `1`                                      | How many images to generate from this prompt                                                                                                                                                                                                     |
+| `--steps <int>`                           | `-s<int>`                                 | `50`                                     | How many steps of refinement to apply                                                                                                                                                                                                            |
+| `--cfg_scale <float>`                     | `-C<float>`                               | `7.5`                                    | How hard to try to match the prompt to the generated image; any number greater than 0.0 works, but the useful range is roughly 5.0 to 20.0                                                                                                       |
+| `--seed <int>`                            | `-S<int>`                                 | `None`                                   | Set the random seed for the next series of images. This can be used to recreate an image generated previously.                                                                                                                                   |
+| `--sampler <sampler>`                     | `-A<sampler>`                             | `k_lms`                                  | Sampler to use. Use `-h` to get list of available samplers.                                                                                                                                                                                      |
+| `--grid`                                  | `-g`                                      | `False`                                  | Turn on grid mode to return a single image combining all the images generated by this prompt                                                                                                                                                     |
+| `--individual`                            | `-i`                                      | `True`                                   | Turn off grid mode (deprecated; leave off `--grid` instead)                                                                                                                                                                                      |
+| `--outdir <path>`                         | `-o<path>`                                | `outputs/img_samples`                    | Temporarily change the location of these images                                                                                                                                                                                                  |
+| `--seamless`                              |                                           | `False`                                  | Activate seamless tiling for interesting effects                                                                                                                                                                                                 |
+| `--log_tokenization`                      | `-t`                                      | `False`                                  | Display a color-coded list of the parsed tokens derived from the prompt                                                                                                                                                                          |
+| `--skip_normalization`                    | `-x`                                      | `False`                                  | Weighted subprompts will not be normalized. See [Weighted Prompts](./OTHER.md#weighted-prompts)                                                                                                                                                  |
+| `--upscale <int> <float>`                 | `-U <int> <float>`                        | `-U 1 0.75`                              | Upscale image by magnification factor (2, 4), and set strength of upscaling (0.0-1.0). If strength not set, will default to 0.75.                                                                                                                |
+| `--gfpgan_strength <float>`               | `-G <float>`                              | `-G0`                                    | Fix faces using the GFPGAN algorithm; argument indicates how hard the algorithm should try (0.0-1.0)                                                                                                                                             |
+| `--save_original`                         | `-save_orig`                              | `False`                                  | When upscaling or fixing faces, this will cause the original image to be saved rather than replaced.                                                                                                                                             |
+| `--variation <float>`                     | `-v<float>`                               | `0.0`                                    | Add a bit of noise (0.0=none, 1.0=high) to the image in order to generate a series of variations. Usually used in combination with `-S<seed>` and `-n<int>` to generate a series a riffs on a starting image. See [Variations](./VARIATIONS.md). |
+| `--with_variations <pattern>`             | `-V<pattern>`                             | `None`                                   | Combine two or more variations. See [Variations](./VARIATIONS.md) for now to use this.                                                                                                                                                           |
 
 !!! note
 
@@ -168,19 +171,19 @@ Those are the `dream` commands that apply to txt2img:
     than 640x480. Otherwise the image size will be identical to the provided photo and you may run out
     of memory if it is large.
 
-Repeated chaining of img2img on an image can result in significant color shifts
-in the output, especially if run with lower strength. Color correction can be
-run against a reference image to fix this issue. Use the original input image to the
-chain as the the reference image for each step in the chain.
+Repeated chaining of img2img on an image can result in significant color shifts in the output,
+especially if run with lower strength. Color correction can be run against a reference image to fix
+this issue. Use the original input image to the chain as the the reference image for each step in
+the chain.
 
 In addition to the command-line options recognized by txt2img, img2img accepts additional options:
 
-| Argument              | Shortcut   | Default | Description                                                                                                                                   |
-| --------------------- | ---------- | ------- | --------------------------------------------------------------------------------------------------------------------------------------------- |
-| `--init_img <path>`   | `-I<path>` | `None`  | Path to the initialization image                                                                                                              |
-| `--init_color <path>` |            | `None`  | Path to reference image for color correction                                                                                                  |
-| `--fit`                | `-F`       | `False` | Scale the image to fit into the specified -H and -W dimensions                                                                                  |
-| `--strength <float>`   | `-f<float>` | `0.75`  | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99,<br>with higher values replacing the initial image completely. |
+| Argument <img width="160" align="right"/> | Shortcut    | Default | Description                                                                                                                                |
+| ----------------------------------------- | ----------- | ------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
+| `--init_img <path>`                       | `-I<path>`  | `None`  | Path to the initialization image                                                                                                           |
+| `--init_color <path>`                     |             | `None`  | Path to reference image for color correction                                                                                               |
+| `--fit`                                   | `-F`        | `False` | Scale the image to fit into the specified -H and -W dimensions                                                                             |
+| `--strength <float>`                      | `-f<float>` | `0.75`  | How hard to try to match the prompt to the initial image. Ranges from 0.0-0.99, with higher values replacing the initial image completely. |
 
 #### Inpainting
 
@@ -198,19 +201,19 @@ In addition to the command-line options recognized by txt2img, img2img accepts a
 Inpainting accepts all the arguments used for txt2img and img2img, as well as the `--mask` (`-M`)
 argument:
 
-| Argument             | Shortcut   | Default | Description                                                                                         |
-| -------------------- | ---------- | ------- | --------------------------------------------------------------------------------------------------- |
-| `--init_mask <path>` | `-M<path>` | `None`  | Path to an image the same size as the initial_image, with areas for<br>inpainting made transparent. |
+| Argument <img width="100" align="right"/> | Shortcut   | Default | Description                                                                                      |
+| ----------------------------------------- | ---------- | ------- | ------------------------------------------------------------------------------------------------ |
+| `--init_mask <path>`                      | `-M<path>` | `None`  | Path to an image the same size as the initial_image, with areas for inpainting made transparent. |
 
 ## Command-line editing and completion
 
 If you are on a Macintosh or Linux machine, the command-line offers convenient history tracking,
 editing, and command completion.
 
-- To scroll through previous commands and potentially edit/reuse them, use the ++up++ and ++down++ cursor
-  keys.
-- To edit the current command, use the ++left++ and ++right++ cursor keys to position the cursor, and then
-  ++backspace++, ++delete++ or ++insert++ characters.
+- To scroll through previous commands and potentially edit/reuse them, use the ++up++ and ++down++
+  cursor keys.
+- To edit the current command, use the ++left++ and ++right++ cursor keys to position the cursor,
+  and then ++backspace++, ++delete++ or ++insert++ characters.
 - To move to the very beginning of the command, type ++ctrl+a++ (or ++command+a++ on the Mac)
 - To move to the end of the command, type ++ctrl+e++.
 - To cut a section of the command, position the cursor where you want to start cutting and type
@@ -220,7 +223,7 @@ editing, and command completion.
 Windows users can get similar, but more limited, functionality if they launch `dream.py` with the
 "winpty" program:
 
-```cmd
+```batch
 winpty python scripts\dream.py
 ```
 
@@ -233,8 +236,8 @@ your command and press tab. A list of potential completions will be presented to
 type a little more, hit tab again, and eventually autocomplete what you want.
 
 When specifying file paths using the one-letter shortcuts, the CLI will attempt to complete
-pathnames for you. This is most handy for the `-I` (init image) and `-M` (init mask) paths. To initiate
-completion, start the path with a slash `/` or `./`, for example:
+pathnames for you. This is most handy for the `-I` (init image) and `-M` (init mask) paths. To
+initiate completion, start the path with a slash `/` or `./`, for example:
 
 ```bash
 dream> "zebra with a mustache" -I./test-pictures<TAB>

From 60b83ff07ef67e4bb766be88a8b39cec562eacfe Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lincoln.stein@gmail.com>
Date: Tue, 20 Sep 2022 07:02:03 -0400
Subject: [PATCH 090/110] Change README name to InvokeAI

---
 README.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 1737e6515b..8d4389ae5b 100644
--- a/README.md
+++ b/README.md
@@ -12,7 +12,7 @@
     <img src="https://img.shields.io/github/issues-pr/lstein/stable-diffusion?logo=GitHub&style=for-the-badge" alt="pull-requests"/>
 </p>
 
-# **Stable Diffusion Dream Script**
+# **InvokeAI - A Stable Diffusion Dream Script**
 
 This is a fork of
 [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion),
@@ -22,10 +22,12 @@ generation process. It runs on Windows, Mac and Linux machines,
 and runs on GPU cards with as little as 4 GB or RAM.
 
 _Note: This fork is rapidly evolving. Please use the
-[Issues](https://github.com/lstein/stable-diffusion/issues) tab to
+[Issues](https://github.com/invoke-ai/InvokeAI/issues) tab to
 report bugs and make feature requests. Be sure to use the provided
 templates. They will help aid diagnose issues faster._
 
+_This repository was formally known as lstein/stable-diffusion_
+
 # **Table of Contents**
 
 1. [Installation](#installation)

From 6af9f2716e93accf899e86c4b121753fb1d9557a Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lincoln.stein@gmail.com>
Date: Tue, 20 Sep 2022 07:03:41 -0400
Subject: [PATCH 091/110] Update README.md

---
 README.md | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index 8d4389ae5b..ca8df2fe19 100644
--- a/README.md
+++ b/README.md
@@ -1,15 +1,15 @@
-<h1 align='center'><b>Stable Diffusion Dream Script</b></h1>
+<h1 align='center'><b>IvokeAI: A Stable Diffusion Toolkit</b></h1>
 
 <p align='center'>
 <img src="docs/assets/logo.png"/>
 </p>
 
 <p align="center">
-    <img src="https://img.shields.io/github/last-commit/lstein/stable-diffusion?logo=Python&logoColor=green&style=for-the-badge" alt="last-commit"/>
-    <img src="https://img.shields.io/github/stars/lstein/stable-diffusion?logo=GitHub&style=for-the-badge" alt="stars"/>
+    <img src="https://img.shields.io/github/last-commit/invoke-ai/InvokeAI?logo=Python&logoColor=green&style=for-the-badge" alt="last-commit"/>
+    <img src="https://img.shields.io/github/stars/invoke-ai/InvokeAI?logo=GitHub&style=for-the-badge" alt="stars"/>
     <br>
-    <img src="https://img.shields.io/github/issues/lstein/stable-diffusion?logo=GitHub&style=for-the-badge" alt="issues"/>
-    <img src="https://img.shields.io/github/issues-pr/lstein/stable-diffusion?logo=GitHub&style=for-the-badge" alt="pull-requests"/>
+    <img src="https://img.shields.io/github/issues/invoke-ai/InvokeAI?logo=GitHub&style=for-the-badge" alt="issues"/>
+    <img src="https://img.shields.io/github/issues-pr/invoke-ai/InvokeAI?logo=GitHub&style=for-the-badge" alt="pull-requests"/>
 </p>
 
 # **InvokeAI - A Stable Diffusion Dream Script**
@@ -26,7 +26,7 @@ _Note: This fork is rapidly evolving. Please use the
 report bugs and make feature requests. Be sure to use the provided
 templates. They will help aid diagnose issues faster._
 
-_This repository was formally known as lstein/stable-diffusion_
+_This repository was formally known as /stable-diffusion_
 
 # **Table of Contents**
 

From de47f68b612e4cb6d75e36b979df9398c556846d Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lincoln.stein@gmail.com>
Date: Tue, 20 Sep 2022 07:04:05 -0400
Subject: [PATCH 092/110] fix typo in README

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index ca8df2fe19..2d952be85b 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-<h1 align='center'><b>IvokeAI: A Stable Diffusion Toolkit</b></h1>
+<h1 align='center'><b>InvokeAI: A Stable Diffusion Toolkit</b></h1>
 
 <p align='center'>
 <img src="docs/assets/logo.png"/>

From 893bdca0a8d1dae9475b1c6308ba3d79f29e1fd9 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lincoln.stein@gmail.com>
Date: Tue, 20 Sep 2022 07:04:38 -0400
Subject: [PATCH 093/110] fixed README formatting

---
 README.md | 2 --
 1 file changed, 2 deletions(-)

diff --git a/README.md b/README.md
index 2d952be85b..4eb9374b51 100644
--- a/README.md
+++ b/README.md
@@ -12,8 +12,6 @@
     <img src="https://img.shields.io/github/issues-pr/invoke-ai/InvokeAI?logo=GitHub&style=for-the-badge" alt="pull-requests"/>
 </p>
 
-# **InvokeAI - A Stable Diffusion Dream Script**
-
 This is a fork of
 [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion),
 the open source text-to-image generator. It provides a streamlined

From 27b238999f292eeed0ba3853a395ef377ed72f31 Mon Sep 17 00:00:00 2001
From: Joseph Dries III <jdries3@users.noreply.github.com>
Date: Mon, 19 Sep 2022 20:04:44 -0400
Subject: [PATCH 094/110] Use model_url instead of model_path for gfpgan and
 CodeFormer. Fixes lstein/stable-diffusion#678

---
 scripts/preload_models.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/scripts/preload_models.py b/scripts/preload_models.py
index 6c082d80e9..d19cc6d8d1 100644
--- a/scripts/preload_models.py
+++ b/scripts/preload_models.py
@@ -92,7 +92,7 @@ if gfpgan:
 
         if not os.path.exists(model_dest):
             print('downloading gfpgan model file...')
-            urllib.request.urlretrieve(model_path,model_dest)
+            urllib.request.urlretrieve(model_url,model_dest)
     except Exception:
         import traceback
         print('Error loading GFPGAN:')
@@ -107,7 +107,7 @@ try:
         if not os.path.exists(model_dest):
             print('downloading codeformer model file...')
             os.makedirs(os.path.dirname(model_dest), exist_ok=True)
-            urllib.request.urlretrieve(model_path,model_dest)
+            urllib.request.urlretrieve(model_url,model_dest)
 except Exception:
     import traceback
     print('Error loading CodeFormer:')

From b970ec4ce9289e31ca9564d143cc390f87132c56 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 20 Sep 2022 23:17:31 +1000
Subject: [PATCH 095/110] Refactors metadata & types, bugfixes, organization

---
 backend/modules/metadata.py                   |  87 +++
 backend/modules/parameters.py                 | 216 +-----
 backend/server.py                             | 568 +++++++++-----
 frontend/dist/assets/index.727a397b.js        | 694 ++++++++++++++++++
 frontend/dist/assets/index.de730902.js        | 694 ------------------
 frontend/dist/index.html                      |   2 +-
 frontend/package.json                         |   5 +-
 frontend/src/app/App.tsx                      |  13 +-
 frontend/src/app/invokeai.d.ts                | 170 +++++
 frontend/src/app/socketio/actions.ts          |  10 +-
 frontend/src/app/socketio/emitters.ts         |  17 +-
 frontend/src/app/socketio/listeners.ts        | 100 +--
 frontend/src/app/socketio/middleware.ts       |  58 +-
 frontend/src/app/socketio/types.d.ts          |  46 --
 frontend/src/app/store.ts                     |   4 +-
 frontend/src/app/theme.ts                     |  15 +
 frontend/src/app/wip_types.ts                 | 171 -----
 .../src/common/hooks/useCheckParameters.ts    |  22 +-
 .../src/common/util/parameterTranslation.ts   | 312 ++++----
 frontend/src/common/util/promptToString.ts    |  16 +
 frontend/src/common/util/seedWeightPairs.ts   | 100 +--
 .../features/gallery/CurrentImageButtons.tsx  |  24 +-
 .../src/features/gallery/DeleteImageModal.tsx | 132 ++--
 .../src/features/gallery/HoverableImage.tsx   |  74 +-
 .../features/gallery/ImageMetadataViewer.tsx  | 356 ++++++---
 frontend/src/features/gallery/gallerySlice.ts |  48 +-
 .../{sd => options}/ESRGANOptions.tsx         |  16 +-
 .../{sd => options}/GFPGANOptions.tsx         |  12 +-
 .../{sd => options}/ImageToImageOptions.tsx   |  16 +-
 .../{sd => options}/ImageUploader.tsx         |   5 +-
 .../{sd => options}/InitAndMaskImage.css      |   0
 .../{sd => options}/InitAndMaskImage.tsx      |  14 +-
 .../InitAndMaskUploadButtons.tsx              |  52 +-
 .../{sd => options}/OptionsAccordion.tsx      |  20 +-
 .../{sd => options}/OutputOptions.tsx         |  16 +-
 .../{sd => options}/ProcessButtons.tsx        |   0
 .../features/{sd => options}/PromptInput.tsx  |   4 +-
 .../{sd => options}/SamplerOptions.tsx        |  16 +-
 .../{sd => options}/SeedVariationOptions.tsx  |  24 +-
 .../sdSlice.ts => options/optionsSlice.ts}    | 141 ++--
 .../{header => system}/ProgressBar.tsx        |   0
 .../{header => system}/SiteHeader.tsx         |   2 +-
 frontend/src/features/system/systemSlice.ts   |  24 +-
 frontend/yarn.lock                            |  14 +
 44 files changed, 2339 insertions(+), 1991 deletions(-)
 create mode 100644 backend/modules/metadata.py
 create mode 100644 frontend/dist/assets/index.727a397b.js
 delete mode 100644 frontend/dist/assets/index.de730902.js
 create mode 100644 frontend/src/app/invokeai.d.ts
 delete mode 100644 frontend/src/app/socketio/types.d.ts
 delete mode 100644 frontend/src/app/wip_types.ts
 create mode 100644 frontend/src/common/util/promptToString.ts
 rename frontend/src/features/{sd => options}/ESRGANOptions.tsx (84%)
 rename frontend/src/features/{sd => options}/GFPGANOptions.tsx (81%)
 rename frontend/src/features/{sd => options}/ImageToImageOptions.tsx (82%)
 rename frontend/src/features/{sd => options}/ImageUploader.tsx (94%)
 rename frontend/src/features/{sd => options}/InitAndMaskImage.css (100%)
 rename frontend/src/features/{sd => options}/InitAndMaskImage.tsx (80%)
 rename frontend/src/features/{sd => options}/InitAndMaskUploadButtons.tsx (75%)
 rename frontend/src/features/{sd => options}/OptionsAccordion.tsx (93%)
 rename frontend/src/features/{sd => options}/OutputOptions.tsx (82%)
 rename frontend/src/features/{sd => options}/ProcessButtons.tsx (100%)
 rename frontend/src/features/{sd => options}/PromptInput.tsx (94%)
 rename frontend/src/features/{sd => options}/SamplerOptions.tsx (80%)
 rename frontend/src/features/{sd => options}/SeedVariationOptions.tsx (89%)
 rename frontend/src/features/{sd/sdSlice.ts => options/optionsSlice.ts} (62%)
 rename frontend/src/features/{header => system}/ProgressBar.tsx (100%)
 rename frontend/src/features/{header => system}/SiteHeader.tsx (97%)

diff --git a/backend/modules/metadata.py b/backend/modules/metadata.py
new file mode 100644
index 0000000000..60c083ef8b
--- /dev/null
+++ b/backend/modules/metadata.py
@@ -0,0 +1,87 @@
+def parameters_to_metadata(opt,
+                   seeds=[],
+                   model_hash=None,
+                   postprocessing=None):
+    '''
+    Given an Args object, returns a dict containing the keys and
+    structure of the proposed stable diffusion metadata standard
+    https://github.com/lstein/stable-diffusion/discussions/392
+    This is intended to be turned into JSON and stored in the 
+    "sd
+    '''
+
+    # top-level metadata minus `image` or `images`
+    metadata = {
+        'model'       : 'stable diffusion',
+        'model_id'    : opt.model,
+        'model_hash'  : model_hash,
+        'app_id'      : APP_ID,
+        'app_version' : APP_VERSION,
+    }
+
+    # add some RFC266 fields that are generated internally, and not as
+    # user args
+    image_dict = opt.to_dict(
+        postprocessing=postprocessing
+    )
+
+    # 'postprocessing' is either null or an array of postprocessing metadatal
+    if postprocessing:
+        # TODO: This is just a hack until postprocessing pipeline work completed
+        image_dict['postprocessing'] = []
+
+        if image_dict['gfpgan_strength'] and image_dict['gfpgan_strength'] > 0:
+            image_dict['postprocessing'].append('GFPGAN (not RFC compliant)')
+        if image_dict['upscale'] and image_dict['upscale'][0] > 0:
+            image_dict['postprocessing'].append('ESRGAN (not RFC compliant)')
+    else:
+        image_dict['postprocessing'] = None
+
+    # remove any image keys not mentioned in RFC #266
+    rfc266_img_fields = ['type','postprocessing','sampler','prompt','seed','variations','steps',
+                         'cfg_scale','step_number','width','height','extra','strength']
+
+    rfc_dict ={}
+
+    for item in image_dict.items():
+        key,value = item
+        if key in rfc266_img_fields:
+            rfc_dict[key] = value
+
+    # semantic drift
+    rfc_dict['sampler']  = image_dict.get('sampler_name',None)
+
+    # display weighted subprompts (liable to change)
+    if opt.prompt:
+        subprompts = split_weighted_subprompts(opt.prompt)
+        subprompts = [{'prompt':x[0],'weight':x[1]} for x in subprompts]
+        rfc_dict['prompt'] = subprompts
+
+    # 'variations' should always exist and be an array, empty or consisting of {'seed': seed, 'weight': weight} pairs
+    rfc_dict['variations'] = [{'seed':x[0],'weight':x[1]} for x in opt.with_variations] if opt.with_variations else []
+
+    if opt.init_img:
+        rfc_dict['type']           = 'img2img'
+        rfc_dict['strength_steps'] = rfc_dict.pop('strength')
+        rfc_dict['orig_hash']      = calculate_init_img_hash(opt.init_img)
+        rfc_dict['sampler']        = 'ddim'  # TODO: FIX ME WHEN IMG2IMG SUPPORTS ALL SAMPLERS
+    else:
+        rfc_dict['type']  = 'txt2img'
+        rfc_dict.pop('strength')
+
+    if len(seeds)==0 and opt.seed:
+        seeds=[seed]
+
+    if opt.grid:
+        images = []
+        for seed in seeds:
+            rfc_dict['seed'] = seed
+            images.append(copy.copy(rfc_dict))
+        metadata['images'] = images
+    else:
+        # there should only ever be a single seed if we did not generate a grid
+        assert len(seeds) == 1, 'Expected a single seed'
+        rfc_dict['seed'] = seeds[0]
+        metadata['image'] = rfc_dict
+
+    return metadata
diff --git a/backend/modules/parameters.py b/backend/modules/parameters.py
index 95d07921ac..ec0cfe8272 100644
--- a/backend/modules/parameters.py
+++ b/backend/modules/parameters.py
@@ -2,14 +2,14 @@ from modules.parse_seed_weights import parse_seed_weights
 import argparse
 
 SAMPLER_CHOICES = [
-    'ddim',
-    'k_dpm_2_a',
-    'k_dpm_2',
-    'k_euler_a',
-    'k_euler',
-    'k_heun',
-    'k_lms',
-    'plms',
+    "ddim",
+    "k_dpm_2_a",
+    "k_dpm_2",
+    "k_euler_a",
+    "k_euler",
+    "k_heun",
+    "k_lms",
+    "plms",
 ]
 
 
@@ -20,194 +20,42 @@ def parameters_to_command(params):
 
     switches = list()
 
-    if 'prompt' in params:
+    if "prompt" in params:
         switches.append(f'"{params["prompt"]}"')
-    if 'steps' in params:
+    if "steps" in params:
         switches.append(f'-s {params["steps"]}')
-    if 'seed' in params:
+    if "seed" in params:
         switches.append(f'-S {params["seed"]}')
-    if 'width' in params:
+    if "width" in params:
         switches.append(f'-W {params["width"]}')
-    if 'height' in params:
+    if "height" in params:
         switches.append(f'-H {params["height"]}')
-    if 'cfg_scale' in params:
+    if "cfg_scale" in params:
         switches.append(f'-C {params["cfg_scale"]}')
-    if 'sampler_name' in params:
+    if "sampler_name" in params:
         switches.append(f'-A {params["sampler_name"]}')
-    if 'seamless' in params and params["seamless"] == True:
-        switches.append(f'--seamless')
-    if 'init_img' in params and len(params['init_img']) > 0:
+    if "seamless" in params and params["seamless"] == True:
+        switches.append(f"--seamless")
+    if "init_img" in params and len(params["init_img"]) > 0:
         switches.append(f'-I {params["init_img"]}')
-    if 'init_mask' in params and len(params['init_mask']) > 0:
+    if "init_mask" in params and len(params["init_mask"]) > 0:
         switches.append(f'-M {params["init_mask"]}')
-    if 'init_color' in params and len(params['init_color']) > 0:
+    if "init_color" in params and len(params["init_color"]) > 0:
         switches.append(f'--init_color {params["init_color"]}')
-    if 'strength' in params and 'init_img' in params:
+    if "strength" in params and "init_img" in params:
         switches.append(f'-f {params["strength"]}')
-        if 'fit' in params and params["fit"] == True:
-            switches.append(f'--fit')
-    if 'gfpgan_strength' in params and params["gfpgan_strength"]:
+        if "fit" in params and params["fit"] == True:
+            switches.append(f"--fit")
+    if "gfpgan_strength" in params and params["gfpgan_strength"]:
         switches.append(f'-G {params["gfpgan_strength"]}')
-    if 'upscale' in params and params["upscale"]:
+    if "upscale" in params and params["upscale"]:
         switches.append(f'-U {params["upscale"][0]} {params["upscale"][1]}')
-    if 'variation_amount' in params and params['variation_amount'] > 0:
+    if "variation_amount" in params and params["variation_amount"] > 0:
         switches.append(f'-v {params["variation_amount"]}')
-        if 'with_variations' in params:
-            seed_weight_pairs = ','.join(f'{seed}:{weight}' for seed, weight in params["with_variations"])
-            switches.append(f'-V {seed_weight_pairs}')
+        if "with_variations" in params:
+            seed_weight_pairs = ",".join(
+                f"{seed}:{weight}" for seed, weight in params["with_variations"]
+            )
+            switches.append(f"-V {seed_weight_pairs}")
 
-    return ' '.join(switches)
-
-
-
-def create_cmd_parser():
-    """
-    This is simply a copy of the parser from `dream.py` with a change to give
-    prompt a default value. This is a temporary hack pending merge of #587 which
-    provides a better way to do this.
-    """
-    parser = argparse.ArgumentParser(
-        description='Example: dream> a fantastic alien landscape -W1024 -H960 -s100 -n12',
-        exit_on_error=True,
-    )
-    parser.add_argument('prompt', nargs='?', default='')
-    parser.add_argument('-s', '--steps', type=int, help='Number of steps')
-    parser.add_argument(
-        '-S',
-        '--seed',
-        type=int,
-        help='Image seed; a +ve integer, or use -1 for the previous seed, -2 for the one before that, etc',
-    )
-    parser.add_argument(
-        '-n',
-        '--iterations',
-        type=int,
-        default=1,
-        help='Number of samplings to perform (slower, but will provide seeds for individual images)',
-    )
-    parser.add_argument(
-        '-W', '--width', type=int, help='Image width, multiple of 64'
-    )
-    parser.add_argument(
-        '-H', '--height', type=int, help='Image height, multiple of 64'
-    )
-    parser.add_argument(
-        '-C',
-        '--cfg_scale',
-        default=7.5,
-        type=float,
-        help='Classifier free guidance (CFG) scale - higher numbers cause generator to "try" harder.',
-    )
-    parser.add_argument(
-        '-g', '--grid', action='store_true', help='generate a grid'
-    )
-    parser.add_argument(
-        '--outdir',
-        '-o',
-        type=str,
-        default=None,
-        help='Directory to save generated images and a log of prompts and seeds',
-    )
-    parser.add_argument(
-        '--seamless',
-        action='store_true',
-        help='Change the model to seamless tiling (circular) mode',
-    )
-    parser.add_argument(
-        '-i',
-        '--individual',
-        action='store_true',
-        help='Generate individual files (default)',
-    )
-    parser.add_argument(
-        '-I',
-        '--init_img',
-        type=str,
-        help='Path to input image for img2img mode (supersedes width and height)',
-    )
-    parser.add_argument(
-        '-M',
-        '--init_mask',
-        type=str,
-        help='Path to input mask for inpainting mode (supersedes width and height)',
-    )
-    parser.add_argument(
-        '--init_color',
-        type=str,
-        help='Path to reference image for color correction (used for repeated img2img and inpainting)'
-    )
-    parser.add_argument(
-        '-T',
-        '-fit',
-        '--fit',
-        action='store_true',
-        help='If specified, will resize the input image to fit within the dimensions of width x height (512x512 default)',
-    )
-    parser.add_argument(
-        '-f',
-        '--strength',
-        default=0.75,
-        type=float,
-        help='Strength for noising/unnoising. 0.0 preserves image exactly, 1.0 replaces it completely',
-    )
-    parser.add_argument(
-        '-G',
-        '--gfpgan_strength',
-        default=0,
-        type=float,
-        help='The strength at which to apply the GFPGAN model to the result, in order to improve faces.',
-    )
-    parser.add_argument(
-        '-U',
-        '--upscale',
-        nargs='+',
-        default=None,
-        type=float,
-        help='Scale factor (2, 4) for upscaling followed by upscaling strength (0-1.0). If strength not specified, defaults to 0.75'
-    )
-    parser.add_argument(
-        '-save_orig',
-        '--save_original',
-        action='store_true',
-        help='Save original. Use it when upscaling to save both versions.',
-    )
-    # variants is going to be superseded by a generalized "prompt-morph" function
-    #    parser.add_argument('-v','--variants',type=int,help="in img2img mode, the first generated image will get passed back to img2img to generate the requested number of variants")
-    parser.add_argument(
-        '-x',
-        '--skip_normalize',
-        action='store_true',
-        help='Skip subprompt weight normalization',
-    )
-    parser.add_argument(
-        '-A',
-        '-m',
-        '--sampler',
-        dest='sampler_name',
-        default=None,
-        type=str,
-        choices=SAMPLER_CHOICES,
-        metavar='SAMPLER_NAME',
-        help=f'Switch to a different sampler. Supported samplers: {", ".join(SAMPLER_CHOICES)}',
-    )
-    parser.add_argument(
-        '-t',
-        '--log_tokenization',
-        action='store_true',
-        help='shows how the prompt is split into tokens'
-    )
-    parser.add_argument(
-        '-v',
-        '--variation_amount',
-        default=0.0,
-        type=float,
-        help='If > 0, generates variations on the initial seed instead of random seeds per iteration. Must be between 0 and 1. Higher values will be more different.'
-    )
-    parser.add_argument(
-        '-V',
-        '--with_variations',
-        default=None,
-        type=str,
-        help='list of variations to apply, in the format `seed:weight,seed:weight,...'
-    )
-    return parser
+    return " ".join(switches)
diff --git a/backend/server.py b/backend/server.py
index b1346691e4..7518f41c5b 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -6,7 +6,6 @@ import traceback
 import eventlet
 import glob
 import shlex
-import argparse
 import math
 import shutil
 
@@ -23,8 +22,10 @@ from ldm.gfpgan.gfpgan_tools import real_esrgan_upscale
 from ldm.gfpgan.gfpgan_tools import run_gfpgan
 from ldm.generate import Generate
 from ldm.dream.pngwriter import PngWriter, retrieve_metadata
+from ldm.dream.args import APP_ID, APP_VERSION, calculate_init_img_hash
+from ldm.dream.conditioning import split_weighted_subprompts
 
-from modules.parameters import parameters_to_command, create_cmd_parser
+from modules.parameters import parameters_to_command
 
 
 """
@@ -32,12 +33,11 @@ USER CONFIG
 """
 
 output_dir = "outputs/"  # Base output directory for images
-#host = 'localhost'  # Web & socket.io host
-host = '0.0.0.0'  # Web & socket.io host
+# host = 'localhost'  # Web & socket.io host
+host = "localhost"  # Web & socket.io host
 port = 9090  # Web & socket.io port
-verbose = False # enables copious socket.io logging
-additional_allowed_origins = ['http://localhost:9090'] # additional CORS allowed origins
 
+model = "stable-diffusion-1.4"
 
 """
 END USER CONFIG
@@ -50,26 +50,23 @@ SERVER SETUP
 
 
 # fix missing mimetypes on windows due to registry wonkiness
-mimetypes.add_type('application/javascript', '.js')
-mimetypes.add_type('text/css', '.css')
+mimetypes.add_type("application/javascript", ".js")
+mimetypes.add_type("text/css", ".css")
 
-app = Flask(__name__, static_url_path='', static_folder='../frontend/dist/')
+app = Flask(__name__, static_url_path="", static_folder="../frontend/dist/")
 
 
-app.config['OUTPUTS_FOLDER'] = "../outputs"
+app.config["OUTPUTS_FOLDER"] = "../outputs"
 
 
-@app.route('/outputs/<path:filename>')
+@app.route("/outputs/<path:filename>")
 def outputs(filename):
-    return send_from_directory(
-        app.config['OUTPUTS_FOLDER'],
-        filename
-    )
+    return send_from_directory(app.config["OUTPUTS_FOLDER"], filename)
 
 
-@app.route("/", defaults={'path': ''})
+@app.route("/", defaults={"path": ""})
 def serve(path):
-    return send_from_directory(app.static_folder, 'index.html')
+    return send_from_directory(app.static_folder, "index.html")
 
 
 logger = True if verbose else False
@@ -81,12 +78,12 @@ max_http_buffer_size = 10000000
 cors_allowed_origins = [f"http://{host}:{port}"] + additional_allowed_origins
 
 socketio = SocketIO(
-                        app,
-                        logger=logger,
-                        engineio_logger=engineio_logger,
-                        max_http_buffer_size=max_http_buffer_size,
-                        cors_allowed_origins=cors_allowed_origins,
-                    )
+    app,
+    logger=logger,
+    engineio_logger=engineio_logger,
+    max_http_buffer_size=max_http_buffer_size,
+    cors_allowed_origins=cors_allowed_origins,
+)
 
 
 """
@@ -107,29 +104,31 @@ canceled = Event()
 
 # reduce logging outputs to error
 transformers.logging.set_verbosity_error()
-logging.getLogger('pytorch_lightning').setLevel(logging.ERROR)
+logging.getLogger("pytorch_lightning").setLevel(logging.ERROR)
 
 # Initialize and load model
-model = Generate()
-model.load_model()
+generate = Generate(model)
+generate.load_model()
 
 
 # location for "finished" images
-result_path = os.path.join(output_dir, 'img-samples/')
+result_path = os.path.join(output_dir, "img-samples/")
 
 # temporary path for intermediates
-intermediate_path = os.path.join(result_path, 'intermediates/')
+intermediate_path = os.path.join(result_path, "intermediates/")
 
 # path for user-uploaded init images and masks
-init_image_path = os.path.join(result_path, 'init-images/')
-mask_image_path = os.path.join(result_path, 'mask-images/')
+init_image_path = os.path.join(result_path, "init-images/")
+mask_image_path = os.path.join(result_path, "mask-images/")
 
 # txt log
-log_path = os.path.join(result_path, 'dream_log.txt')
+log_path = os.path.join(result_path, "dream_log.txt")
 
 # make all output paths
-[os.makedirs(path, exist_ok=True)
- for path in [result_path, intermediate_path, init_image_path, mask_image_path]]
+[
+    os.makedirs(path, exist_ok=True)
+    for path in [result_path, intermediate_path, init_image_path, mask_image_path]
+]
 
 
 """
@@ -142,9 +141,16 @@ SOCKET.IO LISTENERS
 """
 
 
-@socketio.on('requestAllImages')
+@socketio.on("requestSystemConfig")
+def handle_request_capabilities():
+    print(f">> System config requested")
+    config = get_system_config()
+    socketio.emit("systemConfig", config)
+
+
+@socketio.on("requestAllImages")
 def handle_request_all_images():
-    print(f'>> All images requested')
+    print(f">> All images requested")
     parser = create_cmd_parser()
     paths = list(filter(os.path.isfile, glob.glob(result_path + "*.png")))
     paths.sort(key=lambda x: os.path.getmtime(x))
@@ -152,176 +158,208 @@ def handle_request_all_images():
     for path in paths:
         # image = Image.open(path)
         all_metadata = retrieve_metadata(path)
-        if 'Dream' in all_metadata and not all_metadata['sd-metadata']:
-            metadata = vars(parser.parse_args(shlex.split(all_metadata['Dream'])))
+        if "Dream" in all_metadata and not all_metadata["sd-metadata"]:
+            metadata = vars(parser.parse_args(shlex.split(all_metadata["Dream"])))
         else:
-            metadata = all_metadata['sd-metadata']
-        image_array.append({'path': path, 'metadata': metadata})
-    socketio.emit('galleryImages', {'images': image_array})
+            metadata = all_metadata["sd-metadata"]
+        image_array.append({"url": path, "metadata": metadata})
+    socketio.emit("galleryImages", {"images": image_array})
     eventlet.sleep(0)
 
 
-@socketio.on('generateImage')
-def handle_generate_image_event(generation_parameters, esrgan_parameters, gfpgan_parameters):
-    print(f'>> Image generation requested: {generation_parameters}\nESRGAN parameters: {esrgan_parameters}\nGFPGAN parameters: {gfpgan_parameters}')
-    generate_images(
-        generation_parameters,
-        esrgan_parameters,
-        gfpgan_parameters
+@socketio.on("generateImage")
+def handle_generate_image_event(
+    generation_parameters, esrgan_parameters, gfpgan_parameters
+):
+    print(
+        f">> Image generation requested: {generation_parameters}\nESRGAN parameters: {esrgan_parameters}\nGFPGAN parameters: {gfpgan_parameters}"
     )
+    generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters)
 
 
-@socketio.on('runESRGAN')
+@socketio.on("runESRGAN")
 def handle_run_esrgan_event(original_image, esrgan_parameters):
-    print(f'>> ESRGAN upscale requested for "{original_image["url"]}": {esrgan_parameters}')
+    print(
+        f'>> ESRGAN upscale requested for "{original_image["url"]}": {esrgan_parameters}'
+    )
     progress = {
-        'currentStep': 1,
-        'totalSteps': 1,
-        'currentIteration': 1,
-        'totalIterations': 1,
-        'currentStatus': 'Preparing',
-        'isProcessing': True,
-        'currentStatusHasSteps': False
+        "currentStep": 1,
+        "totalSteps": 1,
+        "currentIteration": 1,
+        "totalIterations": 1,
+        "currentStatus": "Preparing",
+        "isProcessing": True,
+        "currentStatusHasSteps": False,
     }
 
-    socketio.emit('progressUpdate', progress)
+    socketio.emit("progressUpdate", progress)
     eventlet.sleep(0)
 
     image = Image.open(original_image["url"])
 
-    seed = original_image['metadata']['seed'] if 'seed' in original_image['metadata'] else 'unknown_seed'
+    seed = (
+        original_image["metadata"]["seed"]
+        if "seed" in original_image["metadata"]
+        else "unknown_seed"
+    )
 
-    progress['currentStatus'] = 'Upscaling'
-    socketio.emit('progressUpdate', progress)
+    progress["currentStatus"] = "Upscaling"
+    socketio.emit("progressUpdate", progress)
     eventlet.sleep(0)
 
     image = real_esrgan_upscale(
         image=image,
-        upsampler_scale=esrgan_parameters['upscale'][0],
-        strength=esrgan_parameters['upscale'][1],
-        seed=seed
+        upsampler_scale=esrgan_parameters["upscale"][0],
+        strength=esrgan_parameters["upscale"][1],
+        seed=seed,
     )
 
-    progress['currentStatus'] = 'Saving image'
-    socketio.emit('progressUpdate', progress)
+    progress["currentStatus"] = "Saving image"
+    socketio.emit("progressUpdate", progress)
     eventlet.sleep(0)
 
-    esrgan_parameters['seed'] = seed
-    path = save_image(image, esrgan_parameters, result_path, postprocessing='esrgan')
+    esrgan_parameters["seed"] = seed
+    metadata = parameters_to_post_processed_image_metadata(
+        parameters=esrgan_parameters,
+        original_image_path=original_image["url"],
+        type="esrgan",
+    )
     command = parameters_to_command(esrgan_parameters)
 
+    path = save_image(image, command, metadata, result_path, postprocessing="esrgan")
+
     write_log_message(f'[Upscaled] "{original_image["url"]}" > "{path}": {command}')
 
-    progress['currentStatus'] = 'Finished'
-    progress['currentStep'] = 0
-    progress['totalSteps'] = 0
-    progress['currentIteration'] = 0
-    progress['totalIterations'] = 0
-    progress['isProcessing'] = False
-    socketio.emit('progressUpdate', progress)
+    progress["currentStatus"] = "Finished"
+    progress["currentStep"] = 0
+    progress["totalSteps"] = 0
+    progress["currentIteration"] = 0
+    progress["totalIterations"] = 0
+    progress["isProcessing"] = False
+    socketio.emit("progressUpdate", progress)
     eventlet.sleep(0)
 
     socketio.emit(
-            'esrganResult', {'url': os.path.relpath(path), 'uuid': original_image['uuid'], 'metadata': esrgan_parameters})
+        "esrganResult",
+        {
+            "url": os.path.relpath(path),
+            "metadata": metadata,
+        },
+    )
 
 
-
-@socketio.on('runGFPGAN')
+@socketio.on("runGFPGAN")
 def handle_run_gfpgan_event(original_image, gfpgan_parameters):
-    print(f'>> GFPGAN face fix requested for "{original_image["url"]}": {gfpgan_parameters}')
+    print(
+        f'>> GFPGAN face fix requested for "{original_image["url"]}": {gfpgan_parameters}'
+    )
     progress = {
-        'currentStep': 1,
-        'totalSteps': 1,
-        'currentIteration': 1,
-        'totalIterations': 1,
-        'currentStatus': 'Preparing',
-        'isProcessing': True,
-        'currentStatusHasSteps': False
+        "currentStep": 1,
+        "totalSteps": 1,
+        "currentIteration": 1,
+        "totalIterations": 1,
+        "currentStatus": "Preparing",
+        "isProcessing": True,
+        "currentStatusHasSteps": False,
     }
 
-    socketio.emit('progressUpdate', progress)
+    socketio.emit("progressUpdate", progress)
     eventlet.sleep(0)
 
     image = Image.open(original_image["url"])
 
-    seed = original_image['metadata']['seed'] if 'seed' in original_image['metadata'] else 'unknown_seed'
+    seed = (
+        original_image["metadata"]["seed"]
+        if "seed" in original_image["metadata"]
+        else "unknown_seed"
+    )
 
-    progress['currentStatus'] = 'Fixing faces'
-    socketio.emit('progressUpdate', progress)
+    progress["currentStatus"] = "Fixing faces"
+    socketio.emit("progressUpdate", progress)
     eventlet.sleep(0)
 
     image = run_gfpgan(
         image=image,
-        strength=gfpgan_parameters['gfpgan_strength'],
+        strength=gfpgan_parameters["gfpgan_strength"],
         seed=seed,
-        upsampler_scale=1
+        upsampler_scale=1,
     )
 
-    progress['currentStatus'] = 'Saving image'
-    socketio.emit('progressUpdate', progress)
+    progress["currentStatus"] = "Saving image"
+    socketio.emit("progressUpdate", progress)
     eventlet.sleep(0)
 
-    gfpgan_parameters['seed'] = seed
-    path = save_image(image, gfpgan_parameters, result_path, postprocessing='gfpgan')
+    gfpgan_parameters["seed"] = seed
+    metadata = parameters_to_post_processed_image_metadata(
+        parameters=gfpgan_parameters,
+        original_image_path=original_image["url"],
+        type="gfpgan",
+    )
     command = parameters_to_command(gfpgan_parameters)
 
+    path = save_image(image, command, metadata, result_path, postprocessing="gfpgan")
+
     write_log_message(f'[Fixed faces] "{original_image["url"]}" > "{path}": {command}')
 
-    progress['currentStatus'] = 'Finished'
-    progress['currentStep'] = 0
-    progress['totalSteps'] = 0
-    progress['currentIteration'] = 0
-    progress['totalIterations'] = 0
-    progress['isProcessing'] = False
-    socketio.emit('progressUpdate', progress)
+    progress["currentStatus"] = "Finished"
+    progress["currentStep"] = 0
+    progress["totalSteps"] = 0
+    progress["currentIteration"] = 0
+    progress["totalIterations"] = 0
+    progress["isProcessing"] = False
+    socketio.emit("progressUpdate", progress)
     eventlet.sleep(0)
 
     socketio.emit(
-            'gfpganResult', {'url': os.path.relpath(path), 'uuid': original_image['uuid'], 'metadata': gfpgan_parameters})
+        "gfpganResult",
+        {
+            "url": os.path.relpath(path),
+            "metadata": metadata,
+        },
+    )
 
 
-@socketio.on('cancel')
+@socketio.on("cancel")
 def handle_cancel():
-    print(f'>> Cancel processing requested')
+    print(f">> Cancel processing requested")
     canceled.set()
-    socketio.emit('processingCanceled')
+    socketio.emit("processingCanceled")
 
 
 # TODO: I think this needs a safety mechanism.
-@socketio.on('deleteImage')
+@socketio.on("deleteImage")
 def handle_delete_image(path, uuid):
     print(f'>> Delete requested "{path}"')
     send2trash(path)
-    socketio.emit('imageDeleted', {'url': path, 'uuid': uuid})
+    socketio.emit("imageDeleted", {"url": path, "uuid": uuid})
 
 
 # TODO: I think this needs a safety mechanism.
-@socketio.on('uploadInitialImage')
+@socketio.on("uploadInitialImage")
 def handle_upload_initial_image(bytes, name):
     print(f'>> Init image upload requested "{name}"')
     uuid = uuid4().hex
     split = os.path.splitext(name)
-    name = f'{split[0]}.{uuid}{split[1]}'
+    name = f"{split[0]}.{uuid}{split[1]}"
     file_path = os.path.join(init_image_path, name)
     os.makedirs(os.path.dirname(file_path), exist_ok=True)
     newFile = open(file_path, "wb")
     newFile.write(bytes)
-    socketio.emit('initialImageUploaded', {'url': file_path, 'uuid': ''})
+    socketio.emit("initialImageUploaded", {"url": file_path, "uuid": ""})
 
 
 # TODO: I think this needs a safety mechanism.
-@socketio.on('uploadMaskImage')
+@socketio.on("uploadMaskImage")
 def handle_upload_mask_image(bytes, name):
     print(f'>> Mask image upload requested "{name}"')
     uuid = uuid4().hex
     split = os.path.splitext(name)
-    name = f'{split[0]}.{uuid}{split[1]}'
+    name = f"{split[0]}.{uuid}{split[1]}"
     file_path = os.path.join(mask_image_path, name)
     os.makedirs(os.path.dirname(file_path), exist_ok=True)
     newFile = open(file_path, "wb")
     newFile.write(bytes)
-    socketio.emit('maskImageUploaded', {'url': file_path, 'uuid': ''})
-
+    socketio.emit("maskImageUploaded", {"url": file_path, "uuid": ""})
 
 
 """
@@ -329,50 +367,171 @@ END SOCKET.IO LISTENERS
 """
 
 
-
 """
 ADDITIONAL FUNCTIONS
 """
 
 
+def get_system_config():
+    return {
+        "model": "stable diffusion",
+        "model_id": model,
+        "model_hash": generate.model_hash,
+        "app_id": APP_ID,
+        "app_version": APP_VERSION,
+    }
+
+
+def parameters_to_post_processed_image_metadata(parameters, original_image_path, type):
+    # top-level metadata minus `image` or `images`
+    metadata = get_system_config()
+
+    orig_hash = calculate_init_img_hash(original_image_path)
+
+    image = {"orig_path": original_image_path, "orig_hash": orig_hash}
+
+    if type == "esrgan":
+        image["type"] = "esrgan"
+        image["scale"] = parameters["upscale"][0]
+        image["strength"] = parameters["upscale"][1]
+    elif type == "gfpgan":
+        image["type"] = "gfpgan"
+        image["strength"] = parameters["gfpgan_strength"]
+    else:
+        raise TypeError(f"Invalid type: {type}")
+
+    metadata["image"] = image
+    return metadata
+
+
+def parameters_to_generated_image_metadata(parameters):
+    # top-level metadata minus `image` or `images`
+
+    metadata = get_system_config()
+    # remove any image keys not mentioned in RFC #266
+    rfc266_img_fields = [
+        "type",
+        "postprocessing",
+        "sampler",
+        "prompt",
+        "seed",
+        "variations",
+        "steps",
+        "cfg_scale",
+        "step_number",
+        "width",
+        "height",
+        "extra",
+        "seamless",
+    ]
+
+    rfc_dict = {}
+
+    for item in parameters.items():
+        key, value = item
+        if key in rfc266_img_fields:
+            rfc_dict[key] = value
+
+    postprocessing = []
+
+    # 'postprocessing' is either null or an
+    if "gfpgan_strength" in parameters:
+
+        postprocessing.append(
+            {"type": "gfpgan", "strength": float(parameters["gfpgan_strength"])}
+        )
+
+    if "upscale" in parameters:
+        postprocessing.append(
+            {
+                "type": "esrgan",
+                "scale": int(parameters["upscale"][0]),
+                "strength": float(parameters["upscale"][1]),
+            }
+        )
+
+    rfc_dict["postprocessing"] = postprocessing if len(postprocessing) > 0 else None
+
+    # semantic drift
+    rfc_dict["sampler"] = parameters["sampler_name"]
+
+    # display weighted subprompts (liable to change)
+    subprompts = split_weighted_subprompts(parameters["prompt"])
+    subprompts = [{"prompt": x[0], "weight": x[1]} for x in subprompts]
+    rfc_dict["prompt"] = subprompts
+
+    # 'variations' should always exist and be an array, empty or consisting of {'seed': seed, 'weight': weight} pairs
+    variations = []
+
+    if "with_variations" in parameters:
+        variations = [
+            {"seed": x[0], "weight": x[1]} for x in parameters["with_variations"]
+        ]
+
+    rfc_dict["variations"] = variations
+
+    if "init_img" in parameters:
+        rfc_dict["type"] = "img2img"
+        rfc_dict["strength"] = parameters["strength"]
+        rfc_dict["fit"] = parameters["fit"]  # TODO: Noncompliant
+        rfc_dict["orig_hash"] = calculate_init_img_hash(parameters["init_img"])
+        rfc_dict["init_image_path"] = parameters["init_img"]  # TODO: Noncompliant
+        rfc_dict["sampler"] = "ddim"  # TODO: FIX ME WHEN IMG2IMG SUPPORTS ALL SAMPLERS
+        if "init_mask" in parameters:
+            rfc_dict["mask_hash"] = calculate_init_img_hash(
+                parameters["init_mask"]
+            )  # TODO: Noncompliant
+            rfc_dict["mask_image_path"] = parameters["init_mask"]  # TODO: Noncompliant
+    else:
+        rfc_dict["type"] = "txt2img"
+
+    metadata["image"] = rfc_dict
+
+    return metadata
+
+
 def make_unique_init_image_filename(name):
     uuid = uuid4().hex
     split = os.path.splitext(name)
-    name = f'{split[0]}.{uuid}{split[1]}'
+    name = f"{split[0]}.{uuid}{split[1]}"
     return name
 
 
 def write_log_message(message, log_path=log_path):
     """Logs the filename and parameters used to generate or process that image to log file"""
-    message = f'{message}\n'
-    with open(log_path, 'a', encoding='utf-8') as file:
+    message = f"{message}\n"
+    with open(log_path, "a", encoding="utf-8") as file:
         file.writelines(message)
 
 
-def save_image(image, parameters, output_dir, step_index=None, postprocessing=False):
-    seed = parameters['seed'] if 'seed' in parameters else 'unknown_seed'
+def save_image(
+    image, command, metadata, output_dir, step_index=None, postprocessing=False
+):
+    seed = metadata["seed"] if "seed" in metadata else "unknown_seed"
 
     pngwriter = PngWriter(output_dir)
     prefix = pngwriter.unique_prefix()
 
-    filename = f'{prefix}.{seed}'
+    filename = f"{prefix}.{seed}"
 
     if step_index:
-        filename += f'.{step_index}'
+        filename += f".{step_index}"
     if postprocessing:
-        filename += f'.postprocessed'
+        filename += f".postprocessed"
 
-    filename += '.png'
+    filename += ".png"
 
-    command = parameters_to_command(parameters)
-
-    path = pngwriter.save_image_and_prompt_to_png(image, command, metadata=parameters, name=filename)
+    path = pngwriter.save_image_and_prompt_to_png(
+        image=image, dream_prompt=command, metadata=metadata, name=filename
+    )
 
     return path
 
+
 def calculate_real_steps(steps, strength, has_init_image):
     return math.floor(strength * steps) if has_init_image else steps
 
+
 def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters):
     canceled.clear()
 
@@ -385,40 +544,40 @@ def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters)
     If the init/mask image doesn't exist in the init_image_path/mask_image_path,
     make a unique filename for it and copy it there.
     """
-    if ('init_img' in generation_parameters):
-        filename = os.path.basename(generation_parameters['init_img'])
+    if "init_img" in generation_parameters:
+        filename = os.path.basename(generation_parameters["init_img"])
         if not os.path.exists(os.path.join(init_image_path, filename)):
             unique_filename = make_unique_init_image_filename(filename)
             new_path = os.path.join(init_image_path, unique_filename)
-            shutil.copy(generation_parameters['init_img'], new_path)
-            generation_parameters['init_img'] = new_path
-        if ('init_mask' in generation_parameters):
-            filename = os.path.basename(generation_parameters['init_mask'])
+            shutil.copy(generation_parameters["init_img"], new_path)
+            generation_parameters["init_img"] = new_path
+        if "init_mask" in generation_parameters:
+            filename = os.path.basename(generation_parameters["init_mask"])
             if not os.path.exists(os.path.join(mask_image_path, filename)):
                 unique_filename = make_unique_init_image_filename(filename)
                 new_path = os.path.join(init_image_path, unique_filename)
-                shutil.copy(generation_parameters['init_img'], new_path)
-                generation_parameters['init_mask'] = new_path
-
-
+                shutil.copy(generation_parameters["init_img"], new_path)
+                generation_parameters["init_mask"] = new_path
 
     totalSteps = calculate_real_steps(
-        steps=generation_parameters['steps'],
-        strength=generation_parameters['strength'] if 'strength' in generation_parameters else None,
-        has_init_image='init_img' in generation_parameters
-        )
+        steps=generation_parameters["steps"],
+        strength=generation_parameters["strength"]
+        if "strength" in generation_parameters
+        else None,
+        has_init_image="init_img" in generation_parameters,
+    )
 
     progress = {
-        'currentStep': 1,
-        'totalSteps': totalSteps,
-        'currentIteration': 1,
-        'totalIterations': generation_parameters['iterations'],
-        'currentStatus': 'Preparing',
-        'isProcessing': True,
-        'currentStatusHasSteps': False
+        "currentStep": 1,
+        "totalSteps": totalSteps,
+        "currentIteration": 1,
+        "totalIterations": generation_parameters["iterations"],
+        "currentStatus": "Preparing",
+        "isProcessing": True,
+        "currentStatusHasSteps": False,
     }
 
-    socketio.emit('progressUpdate', progress)
+    socketio.emit("progressUpdate", progress)
     eventlet.sleep(0)
 
     def image_progress(sample, step):
@@ -429,18 +588,26 @@ def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters)
         nonlocal generation_parameters
         nonlocal progress
 
-        progress['currentStep'] = step + 1
-        progress['currentStatus'] = 'Generating'
-        progress['currentStatusHasSteps'] = True
+        progress["currentStep"] = step + 1
+        progress["currentStatus"] = "Generating"
+        progress["currentStatusHasSteps"] = True
 
-        if generation_parameters["progress_images"] and step % 5 == 0 and step < generation_parameters['steps'] - 1:
-            image = model.sample_to_image(sample)
-            path = save_image(image, generation_parameters, intermediate_path, step_index)
+        if (
+            generation_parameters["progress_images"]
+            and step % 5 == 0
+            and step < generation_parameters["steps"] - 1
+        ):
+            image = generate.sample_to_image(sample)
+            path = save_image(
+                image, generation_parameters, intermediate_path, step_index
+            )
 
             step_index += 1
-            socketio.emit('intermediateResult', {
-                          'url': os.path.relpath(path), 'metadata': generation_parameters})
-        socketio.emit('progressUpdate', progress)
+            socketio.emit(
+                "intermediateResult",
+                {"url": os.path.relpath(path), "metadata": generation_parameters},
+            )
+        socketio.emit("progressUpdate", progress)
         eventlet.sleep(0)
 
     def image_done(image, seed):
@@ -451,79 +618,88 @@ def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters)
 
         step_index = 1
 
-        progress['currentStatus'] = 'Generation complete'
-        socketio.emit('progressUpdate', progress)
+        progress["currentStatus"] = "Generation complete"
+        socketio.emit("progressUpdate", progress)
         eventlet.sleep(0)
 
         all_parameters = generation_parameters
         postprocessing = False
 
         if esrgan_parameters:
-            progress['currentStatus'] = 'Upscaling'
-            progress['currentStatusHasSteps'] = False
-            socketio.emit('progressUpdate', progress)
+            progress["currentStatus"] = "Upscaling"
+            progress["currentStatusHasSteps"] = False
+            socketio.emit("progressUpdate", progress)
             eventlet.sleep(0)
 
             image = real_esrgan_upscale(
                 image=image,
-                strength=esrgan_parameters['strength'],
-                upsampler_scale=esrgan_parameters['level'],
-                seed=seed
+                strength=esrgan_parameters["strength"],
+                upsampler_scale=esrgan_parameters["level"],
+                seed=seed,
             )
             postprocessing = True
-            all_parameters["upscale"] = [esrgan_parameters['level'], esrgan_parameters['strength']]
+            all_parameters["upscale"] = [
+                esrgan_parameters["level"],
+                esrgan_parameters["strength"],
+            ]
 
         if gfpgan_parameters:
-            progress['currentStatus'] = 'Fixing faces'
-            progress['currentStatusHasSteps'] = False
-            socketio.emit('progressUpdate', progress)
+            progress["currentStatus"] = "Fixing faces"
+            progress["currentStatusHasSteps"] = False
+            socketio.emit("progressUpdate", progress)
             eventlet.sleep(0)
 
             image = run_gfpgan(
                 image=image,
-                strength=gfpgan_parameters['strength'],
+                strength=gfpgan_parameters["strength"],
                 seed=seed,
                 upsampler_scale=1,
             )
             postprocessing = True
-            all_parameters["gfpgan_strength"] = gfpgan_parameters['strength']
+            all_parameters["gfpgan_strength"] = gfpgan_parameters["strength"]
 
-        all_parameters['seed'] = seed
-        progress['currentStatus'] = 'Saving image'
-        socketio.emit('progressUpdate', progress)
+        all_parameters["seed"] = seed
+        progress["currentStatus"] = "Saving image"
+        socketio.emit("progressUpdate", progress)
         eventlet.sleep(0)
 
-        path = save_image(image, all_parameters, result_path, postprocessing=postprocessing)
+        metadata = parameters_to_generated_image_metadata(all_parameters)
         command = parameters_to_command(all_parameters)
 
-        print(f'Image generated: "{path}"')
+        path = save_image(
+            image, command, metadata, result_path, postprocessing=postprocessing
+        )
+
+        print(f'>> Image generated: "{path}"')
         write_log_message(f'[Generated] "{path}": {command}')
 
-        if (progress['totalIterations'] > progress['currentIteration']):
-            progress['currentStep'] = 1
-            progress['currentIteration'] +=1
-            progress['currentStatus'] = 'Iteration finished'
-            progress['currentStatusHasSteps'] = False
+        if progress["totalIterations"] > progress["currentIteration"]:
+            progress["currentStep"] = 1
+            progress["currentIteration"] += 1
+            progress["currentStatus"] = "Iteration finished"
+            progress["currentStatusHasSteps"] = False
         else:
-            progress['currentStep'] = 0
-            progress['totalSteps'] = 0
-            progress['currentIteration'] = 0
-            progress['totalIterations'] = 0
-            progress['currentStatus'] = 'Finished'
-            progress['isProcessing'] = False
+            progress["currentStep"] = 0
+            progress["totalSteps"] = 0
+            progress["currentIteration"] = 0
+            progress["totalIterations"] = 0
+            progress["currentStatus"] = "Finished"
+            progress["isProcessing"] = False
 
-        socketio.emit('progressUpdate', progress)
+        socketio.emit("progressUpdate", progress)
         eventlet.sleep(0)
 
         socketio.emit(
-            'generationResult', {'url': os.path.relpath(path), 'metadata': all_parameters})
+            "generationResult",
+            {"url": os.path.relpath(path), "metadata": metadata},
+        )
         eventlet.sleep(0)
 
     try:
-        model.prompt2image(
+        generate.prompt2image(
             **generation_parameters,
             step_callback=image_progress,
-            image_callback=image_done
+            image_callback=image_done,
         )
 
     except KeyboardInterrupt:
@@ -531,7 +707,7 @@ def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters)
     except CanceledException:
         pass
     except Exception as e:
-        socketio.emit('error', {'message': (str(e))})
+        socketio.emit("error", {"message": (str(e))})
         print("\n")
         traceback.print_exc()
         print("\n")
@@ -542,6 +718,6 @@ END ADDITIONAL FUNCTIONS
 """
 
 
-if __name__ == '__main__':
-    print(f'Starting server at http://{host}:{port}')
+if __name__ == "__main__":
+    print(f">> Starting server at http://{host}:{port}")
     socketio.run(app, host=host, port=port)
diff --git a/frontend/dist/assets/index.727a397b.js b/frontend/dist/assets/index.727a397b.js
new file mode 100644
index 0000000000..cc3b6e6fca
--- /dev/null
+++ b/frontend/dist/assets/index.727a397b.js
@@ -0,0 +1,694 @@
+function p$(e,t){for(var r=0;r<t.length;r++){const i=t[r];if(typeof i!="string"&&!Array.isArray(i)){for(const o in i)if(o!=="default"&&!(o in e)){const c=Object.getOwnPropertyDescriptor(i,o);c&&Object.defineProperty(e,o,c.get?c:{enumerable:!0,get:()=>i[o]})}}}return Object.freeze(Object.defineProperty(e,Symbol.toStringTag,{value:"Module"}))}(function(){const t=document.createElement("link").relList;if(t&&t.supports&&t.supports("modulepreload"))return;for(const o of document.querySelectorAll('link[rel="modulepreload"]'))i(o);new MutationObserver(o=>{for(const c of o)if(c.type==="childList")for(const u of c.addedNodes)u.tagName==="LINK"&&u.rel==="modulepreload"&&i(u)}).observe(document,{childList:!0,subtree:!0});function r(o){const c={};return o.integrity&&(c.integrity=o.integrity),o.referrerpolicy&&(c.referrerPolicy=o.referrerpolicy),o.crossorigin==="use-credentials"?c.credentials="include":o.crossorigin==="anonymous"?c.credentials="omit":c.credentials="same-origin",c}function i(o){if(o.ep)return;o.ep=!0;const c=r(o);fetch(o.href,c)}})();var hc=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function h$(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}var D={exports:{}},LR={exports:{}};/**
+ * @license React
+ * react.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */(function(e,t){(function(){typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart(new Error);var r="18.2.0",i=Symbol.for("react.element"),o=Symbol.for("react.portal"),c=Symbol.for("react.fragment"),u=Symbol.for("react.strict_mode"),h=Symbol.for("react.profiler"),m=Symbol.for("react.provider"),v=Symbol.for("react.context"),S=Symbol.for("react.forward_ref"),x=Symbol.for("react.suspense"),w=Symbol.for("react.suspense_list"),_=Symbol.for("react.memo"),R=Symbol.for("react.lazy"),k=Symbol.for("react.offscreen"),P=Symbol.iterator,U="@@iterator";function L(b){if(b===null||typeof b!="object")return null;var A=P&&b[P]||b[U];return typeof A=="function"?A:null}var F={current:null},B={transition:null},$={current:null,isBatchingLegacy:!1,didScheduleLegacyUpdate:!1},K={current:null},Z={},fe=null;function me(b){fe=b}Z.setExtraStackFrame=function(b){fe=b},Z.getCurrentStack=null,Z.getStackAddendum=function(){var b="";fe&&(b+=fe);var A=Z.getCurrentStack;return A&&(b+=A()||""),b};var se=!1,Se=!1,Ke=!1,ae=!1,ce=!1,ge={ReactCurrentDispatcher:F,ReactCurrentBatchConfig:B,ReactCurrentOwner:K};ge.ReactDebugCurrentFrame=Z,ge.ReactCurrentActQueue=$;function _e(b){{for(var A=arguments.length,V=new Array(A>1?A-1:0),G=1;G<A;G++)V[G-1]=arguments[G];xe("warn",b,V)}}function oe(b){{for(var A=arguments.length,V=new Array(A>1?A-1:0),G=1;G<A;G++)V[G-1]=arguments[G];xe("error",b,V)}}function xe(b,A,V){{var G=ge.ReactDebugCurrentFrame,te=G.getStackAddendum();te!==""&&(A+="%s",V=V.concat([te]));var Fe=V.map(function(Ce){return String(Ce)});Fe.unshift("Warning: "+A),Function.prototype.apply.call(console[b],console,Fe)}}var Te={};function pe(b,A){{var V=b.constructor,G=V&&(V.displayName||V.name)||"ReactClass",te=G+"."+A;if(Te[te])return;oe("Can't call %s on a component that is not yet mounted. 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You should set it directly on the context with Context.displayName = '%s'.",Ce),te=!0)}}}),A.Consumer=Fe}return A._currentRenderer=null,A._currentRenderer2=null,A}var pr=-1,Ma=0,Ii=1,Pa=2;function q(b){if(b._status===pr){var A=b._result,V=A();if(V.then(function(Fe){if(b._status===Ma||b._status===pr){var Ce=b;Ce._status=Ii,Ce._result=Fe}},function(Fe){if(b._status===Ma||b._status===pr){var Ce=b;Ce._status=Pa,Ce._result=Fe}}),b._status===pr){var G=b;G._status=Ma,G._result=V}}if(b._status===Ii){var te=b._result;return te===void 0&&oe(`lazy: Expected the result of a dynamic import() call. Instead received: %s
+
+Your code should look like: 
+  const MyComponent = lazy(() => import('./MyComponent'))
+
+Did you accidentally put curly braces around the import?`,te),"default"in te||oe(`lazy: Expected the result of a dynamic import() call. Instead received: %s
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+Your code should look like: 
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+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */(function(e){(function(){typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart(new Error);var t=!1,r=!1,i=5;function o(je,rt){var wt=je.length;je.push(rt),h(je,rt,wt)}function c(je){return je.length===0?null:je[0]}function u(je){if(je.length===0)return null;var rt=je[0],wt=je.pop();return wt!==rt&&(je[0]=wt,m(je,wt,0)),rt}function h(je,rt,wt){for(var mn=wt;mn>0;){var Qt=mn-1>>>1,Nn=je[Qt];if(v(Nn,rt)>0)je[Qt]=rt,je[mn]=Nn,mn=Qt;else return}}function m(je,rt,wt){for(var mn=wt,Qt=je.length,Nn=Qt>>>1;mn<Nn;){var Ln=(mn+1)*2-1,kr=je[Ln],kn=Ln+1,ha=je[kn];if(v(kr,rt)<0)kn<Qt&&v(ha,kr)<0?(je[mn]=ha,je[kn]=rt,mn=kn):(je[mn]=kr,je[Ln]=rt,mn=Ln);else if(kn<Qt&&v(ha,rt)<0)je[mn]=ha,je[kn]=rt,mn=kn;else return}}function v(je,rt){var wt=je.sortIndex-rt.sortIndex;return wt!==0?wt:je.id-rt.id}var S=1,x=2,w=3,_=4,R=5;function k(je,rt){}var P=typeof performance=="object"&&typeof performance.now=="function";if(P){var U=performance;e.unstable_now=function(){return U.now()}}else{var L=Date,F=L.now();e.unstable_now=function(){return L.now()-F}}var B=1073741823,$=-1,K=250,Z=5e3,fe=1e4,me=B,se=[],Se=[],Ke=1,ae=null,ce=w,ge=!1,_e=!1,oe=!1,xe=typeof setTimeout=="function"?setTimeout:null,Te=typeof clearTimeout=="function"?clearTimeout:null,pe=typeof setImmediate<"u"?setImmediate:null;typeof navigator<"u"&&navigator.scheduling!==void 0&&navigator.scheduling.isInputPending!==void 0&&navigator.scheduling.isInputPending.bind(navigator.scheduling);function we(je){for(var rt=c(Se);rt!==null;){if(rt.callback===null)u(Se);else if(rt.startTime<=je)u(Se),rt.sortIndex=rt.expirationTime,o(se,rt);else return;rt=c(Se)}}function Le(je){if(oe=!1,we(je),!_e)if(c(se)!==null)_e=!0,tn(Ie);else{var rt=c(Se);rt!==null&&Rt(Le,rt.startTime-je)}}function Ie(je,rt){_e=!1,oe&&(oe=!1,Oe()),ge=!0;var wt=ce;try{var mn;if(!r)return Ye(je,rt)}finally{ae=null,ce=wt,ge=!1}}function Ye(je,rt){var wt=rt;for(we(wt),ae=c(se);ae!==null&&!t&&!(ae.expirationTime>wt&&(!je||lr()));){var mn=ae.callback;if(typeof mn=="function"){ae.callback=null,ce=ae.priorityLevel;var Qt=ae.expirationTime<=wt,Nn=mn(Qt);wt=e.unstable_now(),typeof Nn=="function"?ae.callback=Nn:ae===c(se)&&u(se),we(wt)}else u(se);ae=c(se)}if(ae!==null)return!0;var Ln=c(Se);return Ln!==null&&Rt(Le,Ln.startTime-wt),!1}function st(je,rt){switch(je){case S:case x:case w:case _:case R:break;default:je=w}var wt=ce;ce=je;try{return rt()}finally{ce=wt}}function vt(je){var rt;switch(ce){case S:case x:case w:rt=w;break;default:rt=ce;break}var wt=ce;ce=rt;try{return je()}finally{ce=wt}}function qt(je){var rt=ce;return function(){var wt=ce;ce=rt;try{return je.apply(this,arguments)}finally{ce=wt}}}function Qe(je,rt,wt){var mn=e.unstable_now(),Qt;if(typeof wt=="object"&&wt!==null){var Nn=wt.delay;typeof Nn=="number"&&Nn>0?Qt=mn+Nn:Qt=mn}else Qt=mn;var Ln;switch(je){case S:Ln=$;break;case x:Ln=K;break;case R:Ln=me;break;case _:Ln=fe;break;case w:default:Ln=Z;break}var kr=Qt+Ln,kn={id:Ke++,callback:rt,priorityLevel:je,startTime:Qt,expirationTime:kr,sortIndex:-1};return Qt>mn?(kn.sortIndex=Qt,o(Se,kn),c(se)===null&&kn===c(Se)&&(oe?Oe():oe=!0,Rt(Le,Qt-mn))):(kn.sortIndex=kr,o(se,kn),!_e&&!ge&&(_e=!0,tn(Ie))),kn}function gt(){}function Tt(){!_e&&!ge&&(_e=!0,tn(Ie))}function Ut(){return c(se)}function We(je){je.callback=null}function Kt(){return ce}var be=!1,It=null,Xt=-1,Ct=i,sr=-1;function lr(){var je=e.unstable_now()-sr;return!(je<Ct)}function jt(){}function hn(je){if(je<0||je>125){console.error("forceFrameRate takes a positive int between 0 and 125, forcing frame rates higher than 125 fps is not supported");return}je>0?Ct=Math.floor(1e3/je):Ct=i}var Pn=function(){if(It!==null){var je=e.unstable_now();sr=je;var rt=!0,wt=!0;try{wt=It(rt,je)}finally{wt?gn():(be=!1,It=null)}}else be=!1},gn;if(typeof pe=="function")gn=function(){pe(Pn)};else if(typeof MessageChannel<"u"){var Ve=new MessageChannel,Xe=Ve.port2;Ve.port1.onmessage=Pn,gn=function(){Xe.postMessage(null)}}else gn=function(){xe(Pn,0)};function tn(je){It=je,be||(be=!0,gn())}function Rt(je,rt){Xt=xe(function(){je(e.unstable_now())},rt)}function Oe(){Te(Xt),Xt=-1}var Vt=jt,_n=null;e.unstable_IdlePriority=R,e.unstable_ImmediatePriority=S,e.unstable_LowPriority=_,e.unstable_NormalPriority=w,e.unstable_Profiling=_n,e.unstable_UserBlockingPriority=x,e.unstable_cancelCallback=We,e.unstable_continueExecution=Tt,e.unstable_forceFrameRate=hn,e.unstable_getCurrentPriorityLevel=Kt,e.unstable_getFirstCallbackNode=Ut,e.unstable_next=vt,e.unstable_pauseExecution=gt,e.unstable_requestPaint=Vt,e.unstable_runWithPriority=st,e.unstable_scheduleCallback=Qe,e.unstable_shouldYield=lr,e.unstable_wrapCallback=qt,typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop(new Error)})()})(AL);(function(e){e.exports=AL})(RL);/**
+ * @license React
+ * react-dom.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
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See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move code with side effects to componentDidMount, and set initial state in the constructor.
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+Please update the following components: %s`,C)}if(f.size>0){var T=pp(f);u(`Using UNSAFE_componentWillReceiveProps in strict mode is not recommended and may indicate bugs in your code. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move data fetching code or side effects to componentDidUpdate.
+* If you're updating state whenever props change, refactor your code to use memoization techniques or move it to static getDerivedStateFromProps. Learn more at: https://reactjs.org/link/derived-state
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+Please update the following components: %s`,T)}if(y.size>0){var O=pp(y);u(`Using UNSAFE_componentWillUpdate in strict mode is not recommended and may indicate bugs in your code. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move data fetching code or side effects to componentDidUpdate.
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+Please update the following components: %s`,O)}if(n.size>0){var z=pp(n);c(`componentWillMount has been renamed, and is not recommended for use. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move code with side effects to componentDidMount, and set initial state in the constructor.
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+Please update the following components: %s`,z)}if(s.size>0){var H=pp(s);c(`componentWillReceiveProps has been renamed, and is not recommended for use. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move data fetching code or side effects to componentDidUpdate.
+* If you're updating state whenever props change, refactor your code to use memoization techniques or move it to static getDerivedStateFromProps. Learn more at: https://reactjs.org/link/derived-state
+* Rename componentWillReceiveProps to UNSAFE_componentWillReceiveProps to suppress this warning in non-strict mode. In React 18.x, only the UNSAFE_ name will work. To rename all deprecated lifecycles to their new names, you can run \`npx react-codemod rename-unsafe-lifecycles\` in your project source folder.
+
+Please update the following components: %s`,H)}if(p.size>0){var ee=pp(p);c(`componentWillUpdate has been renamed, and is not recommended for use. See https://reactjs.org/link/unsafe-component-lifecycles for details.
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+* Move data fetching code or side effects to componentDidUpdate.
+* Rename componentWillUpdate to UNSAFE_componentWillUpdate to suppress this warning in non-strict mode. In React 18.x, only the UNSAFE_ name will work. To rename all deprecated lifecycles to their new names, you can run \`npx react-codemod rename-unsafe-lifecycles\` in your project source folder.
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+Please update the following components: %s`,ee)}};var Z1=new Map,RO=new Set;cl.recordLegacyContextWarning=function(n,a){var s=Uz(n);if(s===null){u("Expected to find a StrictMode component in a strict mode tree. This error is likely caused by a bug in React. Please file an issue.");return}if(!RO.has(n.type)){var f=Z1.get(s);(n.type.contextTypes!=null||n.type.childContextTypes!=null||a!==null&&typeof a.getChildContext=="function")&&(f===void 0&&(f=[],Z1.set(s,f)),f.push(n))}},cl.flushLegacyContextWarning=function(){Z1.forEach(function(n,a){if(n.length!==0){var s=n[0],f=new Set;n.forEach(function(y){f.add(Ft(y)||"Component"),RO.add(y.type)});var p=pp(f);try{rr(s),u(`Legacy context API has been detected within a strict-mode tree.
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+The old API will be supported in all 16.x releases, but applications using it should migrate to the new version.
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+Please update the following components: %s
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+Error message:
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+%s`,s)}function cj(n,a,s){var f=n.pingCache;f!==null&&f.delete(a);var p=qi();Id(n,s),bj(n),Yi===n&&Uu(Aa,s)&&(ka===p0||ka===FS&&Kv(Aa)&&Or()-dT<v3?xp(n,Pe):BS=fn(BS,s)),go(n,p)}function O3(n,a){a===Xr&&(a=HU(n));var s=qi(),f=ho(n,a);f!==null&&(ju(f,a,s),go(f,s))}function fj(n){var a=n.memoizedState,s=Xr;a!==null&&(s=a.retryLane),O3(n,s)}function dj(n,a){var s=Xr,f;switch(n.tag){case $:f=n.stateNode;var p=n.memoizedState;p!==null&&(s=p.retryLane);break;case Se:f=n.stateNode;break;default:throw new Error("Pinged unknown suspense boundary type. This is probably a bug in React.")}f!==null&&f.delete(a),O3(n,s)}function pj(n){return n<120?120:n<480?480:n<1080?1080:n<1920?1920:n<3e3?3e3:n<4320?4320:UU(n/1960)*1960}function hj(){if(b0>$U)throw b0=0,vT=null,new Error("Maximum update depth exceeded. This can happen when a component repeatedly calls setState inside componentWillUpdate or componentDidUpdate. React limits the number of nested updates to prevent infinite loops.");Cm>VU&&(Cm=0,$S=null,u("Maximum update depth exceeded. This can happen when a component calls setState inside useEffect, but useEffect either doesn't have a dependency array, or one of the dependencies changes on every render."))}function mj(){cl.flushLegacyContextWarning(),cl.flushPendingUnsafeLifecycleWarnings()}function D3(n,a){rr(n),YS(n,Zr,PU),a&&YS(n,mh,LU),YS(n,Zr,DU),a&&YS(n,mh,MU),Er()}function YS(n,a,s){for(var f=n,p=null;f!==null;){var y=f.subtreeFlags&a;f!==p&&f.child!==null&&y!==Mt?f=f.child:((f.flags&a)!==Mt&&s(f),f.sibling!==null?f=f.sibling:f=p=f.return)}}var qS=null;function M3(n){{if((Dn&ii)!==Ra||!(n.mode&xn))return;var a=n.tag;if(a!==S&&a!==x&&a!==v&&a!==m&&a!==F&&a!==K&&a!==Z)return;var s=Ft(n)||"ReactComponent";if(qS!==null){if(qS.has(s))return;qS.add(s)}else qS=new Set([s]);var f=xr;try{rr(n),u("Can't perform a React state update on a component that hasn't mounted yet. This indicates that you have a side-effect in your render function that asynchronously later calls tries to update the component. Move this work to useEffect instead.")}finally{f?rr(n):Er()}}}var CT;{var vj=null;CT=function(n,a,s){var f=j3(vj,a);try{return G4(n,a,s)}catch(y){if(Az()||y!==null&&typeof y=="object"&&typeof y.then=="function")throw y;if(J1(),e4(),Q4(n,a),j3(a,f),a.mode&Vn&&IE(a),zc(null,G4,null,n,a,s),I()){var p=Il();typeof p=="object"&&p!==null&&p._suppressLogging&&typeof y=="object"&&y!==null&&!y._suppressLogging&&(y._suppressLogging=!0)}throw y}}}var P3=!1,wT;wT=new Set;function gj(n){if(Bi&&!cB())switch(n.tag){case m:case F:case Z:{var a=Ir&&Ft(Ir)||"Unknown",s=a;if(!wT.has(s)){wT.add(s);var f=Ft(n)||"Unknown";u("Cannot update a component (`%s`) while rendering a different component (`%s`). To locate the bad setState() call inside `%s`, follow the stack trace as described in https://reactjs.org/link/setstate-in-render",f,a,a)}break}case v:{P3||(u("Cannot update during an existing state transition (such as within `render`). Render methods should be a pure function of props and state."),P3=!0);break}}}function C0(n,a){if(Ca){var s=n.memoizedUpdaters;s.forEach(function(f){Oh(n,f,a)})}}var _T={};function NT(n,a){{var s=yl.current;return s!==null?(s.push(a),_T):ji(n,a)}}function L3(n){if(n!==_T)return zC(n)}function I3(){return yl.current!==null}function yj(n){{if(n.mode&xn){if(!p3())return}else if(!BU()||Dn!==Ra||n.tag!==m&&n.tag!==F&&n.tag!==Z)return;if(yl.current===null){var a=xr;try{rr(n),u(`An update to %s inside a test was not wrapped in act(...).
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+When testing, code that causes React state updates should be wrapped into act(...):
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+act(() => {
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+ * react-is.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */(function(){var e=typeof Symbol=="function"&&Symbol.for,t=e?Symbol.for("react.element"):60103,r=e?Symbol.for("react.portal"):60106,i=e?Symbol.for("react.fragment"):60107,o=e?Symbol.for("react.strict_mode"):60108,c=e?Symbol.for("react.profiler"):60114,u=e?Symbol.for("react.provider"):60109,h=e?Symbol.for("react.context"):60110,m=e?Symbol.for("react.async_mode"):60111,v=e?Symbol.for("react.concurrent_mode"):60111,S=e?Symbol.for("react.forward_ref"):60112,x=e?Symbol.for("react.suspense"):60113,w=e?Symbol.for("react.suspense_list"):60120,_=e?Symbol.for("react.memo"):60115,R=e?Symbol.for("react.lazy"):60116,k=e?Symbol.for("react.block"):60121,P=e?Symbol.for("react.fundamental"):60117,U=e?Symbol.for("react.responder"):60118,L=e?Symbol.for("react.scope"):60119;function F(We){return typeof We=="string"||typeof We=="function"||We===i||We===v||We===c||We===o||We===x||We===w||typeof We=="object"&&We!==null&&(We.$$typeof===R||We.$$typeof===_||We.$$typeof===u||We.$$typeof===h||We.$$typeof===S||We.$$typeof===P||We.$$typeof===U||We.$$typeof===L||We.$$typeof===k)}function B(We){if(typeof We=="object"&&We!==null){var Kt=We.$$typeof;switch(Kt){case t:var be=We.type;switch(be){case m:case v:case i:case c:case o:case x:return be;default:var It=be&&be.$$typeof;switch(It){case h:case S:case R:case _:case u:return It;default:return Kt}}case r:return Kt}}}var $=m,K=v,Z=h,fe=u,me=t,se=S,Se=i,Ke=R,ae=_,ce=r,ge=c,_e=o,oe=x,xe=!1;function Te(We){return xe||(xe=!0,console.warn("The ReactIs.isAsyncMode() alias has been deprecated, and will be removed in React 17+. Update your code to use ReactIs.isConcurrentMode() instead. It has the exact same API.")),pe(We)||B(We)===m}function pe(We){return B(We)===v}function we(We){return B(We)===h}function Le(We){return B(We)===u}function Ie(We){return typeof We=="object"&&We!==null&&We.$$typeof===t}function Ye(We){return B(We)===S}function st(We){return B(We)===i}function vt(We){return B(We)===R}function qt(We){return B(We)===_}function Qe(We){return B(We)===r}function gt(We){return B(We)===c}function Tt(We){return B(We)===o}function Ut(We){return B(We)===x}ur.AsyncMode=$,ur.ConcurrentMode=K,ur.ContextConsumer=Z,ur.ContextProvider=fe,ur.Element=me,ur.ForwardRef=se,ur.Fragment=Se,ur.Lazy=Ke,ur.Memo=ae,ur.Portal=ce,ur.Profiler=ge,ur.StrictMode=_e,ur.Suspense=oe,ur.isAsyncMode=Te,ur.isConcurrentMode=pe,ur.isContextConsumer=we,ur.isContextProvider=Le,ur.isElement=Ie,ur.isForwardRef=Ye,ur.isFragment=st,ur.isLazy=vt,ur.isMemo=qt,ur.isPortal=Qe,ur.isProfiler=gt,ur.isStrictMode=Tt,ur.isSuspense=Ut,ur.isValidElementType=F,ur.typeOf=B})();(function(e){e.exports=ur})(H2);var KL=H2.exports,gH={$$typeof:!0,render:!0,defaultProps:!0,displayName:!0,propTypes:!0},yH={$$typeof:!0,compare:!0,defaultProps:!0,displayName:!0,propTypes:!0,type:!0},ZL={};ZL[KL.ForwardRef]=gH;ZL[KL.Memo]=yH;var bH=!0;function RA(e,t,r){var i="";return r.split(" ").forEach(function(o){e[o]!==void 0?t.push(e[o]+";"):i+=o+" "}),i}var W2=function(t,r,i){var o=t.key+"-"+r.name;(i===!1||bH===!1)&&t.registered[o]===void 0&&(t.registered[o]=r.styles)},G2=function(t,r,i){W2(t,r,i);var o=t.key+"-"+r.name;if(t.inserted[r.name]===void 0){var c=r;do t.insert(r===c?"."+o:"",c,t.sheet,!0),c=c.next;while(c!==void 0)}};function SH(e){for(var t=0,r,i=0,o=e.length;o>=4;++i,o-=4)r=e.charCodeAt(i)&255|(e.charCodeAt(++i)&255)<<8|(e.charCodeAt(++i)&255)<<16|(e.charCodeAt(++i)&255)<<24,r=(r&65535)*1540483477+((r>>>16)*59797<<16),r^=r>>>24,t=(r&65535)*1540483477+((r>>>16)*59797<<16)^(t&65535)*1540483477+((t>>>16)*59797<<16);switch(o){case 3:t^=(e.charCodeAt(i+2)&255)<<16;case 2:t^=(e.charCodeAt(i+1)&255)<<8;case 1:t^=e.charCodeAt(i)&255,t=(t&65535)*1540483477+((t>>>16)*59797<<16)}return t^=t>>>13,t=(t&65535)*1540483477+((t>>>16)*59797<<16),((t^t>>>15)>>>0).toString(36)}var xH={animationIterationCount:1,borderImageOutset:1,borderImageSlice:1,borderImageWidth:1,boxFlex:1,boxFlexGroup:1,boxOrdinalGroup:1,columnCount:1,columns:1,flex:1,flexGrow:1,flexPositive:1,flexShrink:1,flexNegative:1,flexOrder:1,gridRow:1,gridRowEnd:1,gridRowSpan:1,gridRowStart:1,gridColumn:1,gridColumnEnd:1,gridColumnSpan:1,gridColumnStart:1,msGridRow:1,msGridRowSpan:1,msGridColumn:1,msGridColumnSpan:1,fontWeight:1,lineHeight:1,opacity:1,order:1,orphans:1,tabSize:1,widows:1,zIndex:1,zoom:1,WebkitLineClamp:1,fillOpacity:1,floodOpacity:1,stopOpacity:1,strokeDasharray:1,strokeDashoffset:1,strokeMiterlimit:1,strokeOpacity:1,strokeWidth:1},DD=`You have illegal escape sequence in your template literal, most likely inside content's property value.
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u;const{layout:h,layoutId:m}=this.options;if(this.isTreeAnimating=Boolean(((u=this.parent)===null||u===void 0?void 0:u.isTreeAnimating)||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(h||m))return;const v=this.getLead();Sl(this.layoutCorrected,this.layout.actual),tK(this.layoutCorrected,this.treeScale,this.path,Boolean(this.resumingFrom)||this!==v);const{target:S}=v;if(!S)return;this.projectionDelta||(this.projectionDelta=Z0(),this.projectionDeltaWithTransform=Z0());const x=this.treeScale.x,w=this.treeScale.y,_=this.projectionTransform;q0(this.projectionDelta,this.layoutCorrected,S,this.latestValues),this.projectionTransform=XM(this.projectionDelta,this.treeScale),(this.projectionTransform!==_||this.treeScale.x!==x||this.treeScale.y!==w)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",S))}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(u=!0){var h,m,v;(m=(h=this.options).scheduleRender)===null||m===void 0||m.call(h),u&&((v=this.getStack())===null||v===void 0||v.scheduleRender()),this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(u,h=!1){var m;const v=this.snapshot,S=v?.latestValues||{},x={...this.latestValues},w=Z0();this.relativeTarget=this.relativeTargetOrigin=void 0,this.attemptToResolveRelativeTarget=!h;const _=ci(),R=v?.isShared,k=(((m=this.getStack())===null||m===void 0?void 0:m.members.length)||0)<=1,P=Boolean(R&&!k&&this.options.crossfade===!0&&!this.path.some(sZ));this.animationProgress=0,this.mixTargetDelta=U=>{var L;const F=U/1e3;tP(w.x,u.x,F),tP(w.y,u.y,F),this.setTargetDelta(w),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&((L=this.relativeParent)===null||L===void 0?void 0:L.layout)&&(K0(_,this.layout.actual,this.relativeParent.layout.actual),oZ(this.relativeTarget,this.relativeTargetOrigin,_,F)),R&&(this.animationValues=x,UK(x,S,this.latestValues,F,P,k)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=F},this.mixTargetDelta(0)}startAnimation(u){var h,m;this.notifyListeners("animationStart"),(h=this.currentAnimation)===null||h===void 0||h.stop(),this.resumingFrom&&((m=this.resumingFrom.currentAnimation)===null||m===void 0||m.stop()),this.pendingAnimation&&(vy.update(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=hu.update(()=>{H0.hasAnimatedSinceResize=!0,this.currentAnimation=zK(0,JM,{...u,onUpdate:v=>{var S;this.mixTargetDelta(v),(S=u.onUpdate)===null||S===void 0||S.call(u,v)},onComplete:()=>{var v;(v=u.onComplete)===null||v===void 0||v.call(u),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){var u;this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0),(u=this.getStack())===null||u===void 0||u.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){var u;this.currentAnimation&&((u=this.mixTargetDelta)===null||u===void 0||u.call(this,JM),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const u=this.getLead();let{targetWithTransforms:h,target:m,layout:v,latestValues:S}=u;if(!(!h||!m||!v)){if(this!==u&&this.layout&&v&&O9(this.options.animationType,this.layout.actual,v.actual)){m=this.target||ci();const x=ts(this.layout.actual.x);m.x.min=u.target.x.min,m.x.max=m.x.min+x;const w=ts(this.layout.actual.y);m.y.min=u.target.y.min,m.y.max=m.y.min+w}Sl(h,m),Bm(h,S),q0(this.projectionDeltaWithTransform,this.layoutCorrected,h,S)}}registerSharedNode(u,h){var m,v,S;this.sharedNodes.has(u)||this.sharedNodes.set(u,new YK),this.sharedNodes.get(u).add(h),h.promote({transition:(m=h.options.initialPromotionConfig)===null||m===void 0?void 0:m.transition,preserveFollowOpacity:(S=(v=h.options.initialPromotionConfig)===null||v===void 0?void 0:v.shouldPreserveFollowOpacity)===null||S===void 0?void 0:S.call(v,h)})}isLead(){const u=this.getStack();return u?u.lead===this:!0}getLead(){var u;const{layoutId:h}=this.options;return h?((u=this.getStack())===null||u===void 0?void 0:u.lead)||this:this}getPrevLead(){var u;const{layoutId:h}=this.options;return h?(u=this.getStack())===null||u===void 0?void 0:u.prevLead:void 0}getStack(){const{layoutId:u}=this.options;if(u)return this.root.sharedNodes.get(u)}promote({needsReset:u,transition:h,preserveFollowOpacity:m}={}){const v=this.getStack();v&&v.promote(this,m),u&&(this.projectionDelta=void 0,this.needsReset=!0),h&&this.setOptions({transition:h})}relegate(){const u=this.getStack();return u?u.relegate(this):!1}resetRotation(){const{visualElement:u}=this.options;if(!u)return;let h=!1;const m={};for(let v=0;v<QM.length;v++){const S=QM[v],x="rotate"+S;!u.getStaticValue(x)||(h=!0,m[x]=u.getStaticValue(x),u.setStaticValue(x,0))}if(!!h){u?.syncRender();for(const v in m)u.setStaticValue(v,m[v]);u.scheduleRender()}}getProjectionStyles(u={}){var h,m,v;const S={};if(!this.instance||this.isSVG)return S;if(this.isVisible)S.visibility="";else return{visibility:"hidden"};const x=(h=this.options.visualElement)===null||h===void 0?void 0:h.getProps().transformTemplate;if(this.needsReset)return this.needsReset=!1,S.opacity="",S.pointerEvents=Ix(u.pointerEvents)||"",S.transform=x?x(this.latestValues,""):"none",S;const w=this.getLead();if(!this.projectionDelta||!this.layout||!w.target){const P={};return this.options.layoutId&&(P.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,P.pointerEvents=Ix(u.pointerEvents)||""),this.hasProjected&&!Of(this.latestValues)&&(P.transform=x?x({},""):"none",this.hasProjected=!1),P}const _=w.animationValues||w.latestValues;this.applyTransformsToTarget(),S.transform=XM(this.projectionDeltaWithTransform,this.treeScale,_),x&&(S.transform=x(_,S.transform));const{x:R,y:k}=this.projectionDelta;S.transformOrigin=`${R.origin*100}% ${k.origin*100}% 0`,w.animationValues?S.opacity=w===this?(v=(m=_.opacity)!==null&&m!==void 0?m:this.latestValues.opacity)!==null&&v!==void 0?v:1:this.preserveOpacity?this.latestValues.opacity:_.opacityExit:S.opacity=w===this?_.opacity!==void 0?_.opacity:"":_.opacityExit!==void 0?_.opacityExit:0;for(const P in i2){if(_[P]===void 0)continue;const{correct:U,applyTo:L}=i2[P],F=U(_[P],w);if(L){const B=L.length;for(let $=0;$<B;$++)S[L[$]]=F}else S[P]=F}return this.options.layoutId&&(S.pointerEvents=w===this?Ix(u.pointerEvents)||"":"none"),S}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(u=>{var h;return(h=u.currentAnimation)===null||h===void 0?void 0:h.stop()}),this.root.nodes.forEach(eP),this.root.sharedNodes.clear()}}}function XK(e){e.updateLayout()}function QK(e){var t,r,i;const o=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&o&&e.hasListeners("didUpdate")){const{actual:c,measured:u}=e.layout,{animationType:h}=e.options;h==="size"?iu(w=>{const _=o.isShared?o.measured[w]:o.layout[w],R=ts(_);_.min=c[w].min,_.max=_.min+R}):O9(h,o.layout,c)&&iu(w=>{const _=o.isShared?o.measured[w]:o.layout[w],R=ts(c[w]);_.max=_.min+R});const m=Z0();q0(m,c,o.layout);const v=Z0();o.isShared?q0(v,e.applyTransform(u,!0),o.measured):q0(v,c,o.layout);const S=!R9(m);let x=!1;if(!e.resumeFrom&&(e.relativeParent=e.getClosestProjectingParent(),e.relativeParent&&!e.relativeParent.resumeFrom)){const{snapshot:w,layout:_}=e.relativeParent;if(w&&_){const R=ci();K0(R,o.layout,w.layout);const k=ci();K0(k,c,_.actual),A9(R,k)||(x=!0)}}e.notifyListeners("didUpdate",{layout:c,snapshot:o,delta:v,layoutDelta:m,hasLayoutChanged:S,hasRelativeTargetChanged:x})}else e.isLead()&&((i=(r=e.options).onExitComplete)===null||i===void 0||i.call(r));e.options.transition=void 0}function JK(e){e.clearSnapshot()}function eP(e){e.clearMeasurements()}function eZ(e){const{visualElement:t}=e.options;t?.getProps().onBeforeLayoutMeasure&&t.notifyBeforeLayoutMeasure(),e.resetTransform()}function tZ(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0}function nZ(e){e.resolveTargetDelta()}function rZ(e){e.calcProjection()}function aZ(e){e.resetRotation()}function iZ(e){e.removeLeadSnapshot()}function tP(e,t,r){e.translate=Vr(t.translate,0,r),e.scale=Vr(t.scale,1,r),e.origin=t.origin,e.originPoint=t.originPoint}function nP(e,t,r,i){e.min=Vr(t.min,r.min,i),e.max=Vr(t.max,r.max,i)}function oZ(e,t,r,i){nP(e.x,t.x,r.x,i),nP(e.y,t.y,r.y,i)}function sZ(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const lZ={duration:.45,ease:[.4,0,.1,1]};function uZ(e,t){let r=e.root;for(let c=e.path.length-1;c>=0;c--)if(Boolean(e.path[c].instance)){r=e.path[c];break}const o=(r&&r!==e.root?r.instance:document).querySelector(`[data-projection-id="${t}"]`);o&&e.mount(o,!0)}function rP(e){e.min=Math.round(e.min),e.max=Math.round(e.max)}function aP(e){rP(e.x),rP(e.y)}function O9(e,t,r){return e==="position"||e==="preserve-aspect"&&!GK(ZM(t),ZM(r))}const cZ=k9({attachResizeListener:(e,t)=>Q2(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),rR={current:void 0},fZ=k9({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!rR.current){const e=new cZ(0,{});e.mount(window),e.setOptions({layoutScroll:!0}),rR.current=e}return rR.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>Boolean(window.getComputedStyle(e).position==="fixed")}),dZ={...Vq,...eq,...cK,...FK},Ol=HW((e,t)=>AG(e,t,dZ,OK,fZ));function D9(){const e=D.exports.useRef(!1);return a2(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function pZ(){const e=D9(),[t,r]=D.exports.useState(0),i=D.exports.useCallback(()=>{e.current&&r(t+1)},[t]);return[D.exports.useCallback(()=>hu.postRender(i),[i]),t]}var hZ="/Users/spencer/Documents/Code/stable-diffusion/frontend/node_modules/framer-motion/dist/es/components/AnimatePresence/PopChild.mjs";class mZ extends D.exports.Component{getSnapshotBeforeUpdate(t){const r=this.props.childRef.current;if(r&&t.isPresent&&!this.props.isPresent){const i=this.props.sizeRef.current;i.height=r.offsetHeight||0,i.width=r.offsetWidth||0,i.top=r.offsetTop,i.left=r.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function vZ({children:e,isPresent:t}){const r=D.exports.useId(),i=D.exports.useRef(null),o=D.exports.useRef({width:0,height:0,top:0,left:0});return D.exports.useInsertionEffect(()=>{const{width:c,height:u,top:h,left:m}=o.current;if(t||!i.current||!c||!u)return;i.current.dataset.motionPopId=r;const v=document.createElement("style");return document.head.appendChild(v),v.sheet&&v.sheet.insertRule(`
+          [data-motion-pop-id="${r}"] {
+            position: absolute !important;
+            width: ${c}px !important;
+            height: ${u}px !important;
+            top: ${h}px !important;
+            left: ${m}px !important;
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+  @supports (height: -webkit-fill-available) {
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+  @supports (height: -moz-fill-available) {
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+        font-family: system-ui, sans-serif;
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+        text-rendering: optimizeLegibility;
+        -moz-osx-font-smoothing: grayscale;
+        touch-action: manipulation;
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+      body {
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+        box-sizing: border-box;
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+      hr {
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+      button,
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+      button,
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+      fieldset {
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+      legend {
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+        white-space: normal;
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+      progress {
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+      textarea {
+        overflow: auto;
+      }
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+      [type="checkbox"],
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+        box-sizing: border-box;
+        padding: 0;
+      }
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+      [type="number"]::-webkit-inner-spin-button,
+      [type="number"]::-webkit-outer-spin-button {
+        -webkit-appearance: none !important;
+      }
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+      input[type="number"] {
+        -moz-appearance: textfield;
+      }
+
+      [type="search"] {
+        -webkit-appearance: textfield;
+        outline-offset: -2px;
+      }
+
+      [type="search"]::-webkit-search-decoration {
+        -webkit-appearance: none !important;
+      }
+
+      ::-webkit-file-upload-button {
+        -webkit-appearance: button;
+        font: inherit;
+      }
+
+      details {
+        display: block;
+      }
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+      summary {
+        display: list-item;
+      }
+
+      template {
+        display: none;
+      }
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+      [hidden] {
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+      }
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+      body,
+      blockquote,
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+      dd,
+      h1,
+      h2,
+      h3,
+      h4,
+      h5,
+      h6,
+      hr,
+      figure,
+      p,
+      pre {
+        margin: 0;
+      }
+
+      button {
+        background: transparent;
+        padding: 0;
+      }
+
+      fieldset {
+        margin: 0;
+        padding: 0;
+      }
+
+      ol,
+      ul {
+        margin: 0;
+        padding: 0;
+      }
+
+      textarea {
+        resize: vertical;
+      }
+
+      button,
+      [role="button"] {
+        cursor: pointer;
+      }
+
+      button::-moz-focus-inner {
+        border: 0 !important;
+      }
+
+      table {
+        border-collapse: collapse;
+      }
+
+      h1,
+      h2,
+      h3,
+      h4,
+      h5,
+      h6 {
+        font-size: inherit;
+        font-weight: inherit;
+      }
+
+      button,
+      input,
+      optgroup,
+      select,
+      textarea {
+        padding: 0;
+        line-height: inherit;
+        color: inherit;
+      }
+
+      img,
+      svg,
+      video,
+      canvas,
+      audio,
+      iframe,
+      embed,
+      object {
+        display: block;
+      }
+
+      img,
+      video {
+        max-width: 100%;
+        height: auto;
+      }
+
+      [data-js-focus-visible] :focus:not([data-focus-visible-added]):not([data-focus-visible-disabled]) {
+        outline: none;
+        box-shadow: none;
+      }
+
+      select::-ms-expand {
+        display: none;
+      }
+
+      ${J9}
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ae,ce=B==="y"?_o:No,ge=B==="y"?Bs:Us,_e=B==="y"?"height":"width",oe=K[B],xe=oe+P[ce],Te=oe-P[ge],pe=_?-fe[_e]/2:0,we=L===tv?Z[_e]:fe[_e],Le=L===tv?-fe[_e]:-Z[_e],Ie=t.elements.arrow,Ye=_&&Ie?wk(Ie):{width:0,height:0},st=t.modifiersData["arrow#persistent"]?t.modifiersData["arrow#persistent"].padding:b7(),vt=st[ce],qt=st[ge],Qe=X0(0,Z[_e],Ye[_e]),gt=F?Z[_e]/2-pe-Qe-vt-se.mainAxis:we-Qe-vt-se.mainAxis,Tt=F?-Z[_e]/2+pe+Qe+qt+se.mainAxis:Le+Qe+qt+se.mainAxis,Ut=t.elements.arrow&&Wy(t.elements.arrow),We=Ut?B==="y"?Ut.clientTop||0:Ut.clientLeft||0:0,Kt=(ae=Se?.[B])!=null?ae:0,be=oe+gt-Kt-We,It=oe+Tt-Kt,Xt=X0(_?y2(xe,be):xe,oe,_?$p(Te,It):Te);K[B]=Xt,Ke[B]=Xt-oe}if(h){var Ct,sr=B==="x"?_o:No,lr=B==="x"?Bs:Us,jt=K[$],hn=$==="y"?"height":"width",Pn=jt+P[sr],gn=jt-P[lr],Ve=[_o,No].indexOf(U)!==-1,Xe=(Ct=Se?.[$])!=null?Ct:0,tn=Ve?Pn:jt-Z[hn]-fe[hn]-Xe+se.altAxis,Rt=Ve?jt+Z[hn]+fe[hn]-Xe-se.altAxis:gn,Oe=_&&Ve?tJ(tn,jt,Rt):X0(_?tn:Pn,jt,_?Rt:gn);K[$]=Oe,Ke[$]=Oe-jt}t.modifiersData[i]=Ke}}const DJ={name:"preventOverflow",enabled:!0,phase:"main",fn:OJ,requiresIfExists:["offset"]};function MJ(e){return{scrollLeft:e.scrollLeft,scrollTop:e.scrollTop}}function PJ(e){return e===js(e)||!es(e)?Nk(e):MJ(e)}function LJ(e){var t=e.getBoundingClientRect(),r=nv(t.width)/e.offsetWidth||1,i=nv(t.height)/e.offsetHeight||1;return r!==1||i!==1}function IJ(e,t,r){r===void 0&&(r=!1);var i=es(t),o=es(t)&&LJ(t),c=ad(t),u=rv(e,o,r),h={scrollLeft:0,scrollTop:0},m={x:0,y:0};return(i||!i&&!r)&&((Su(t)!=="body"||Tk(c))&&(h=PJ(t)),es(t)?(m=rv(t,!0),m.x+=t.clientLeft,m.y+=t.clientTop):c&&(m.x=Ek(c))),{x:u.left+h.scrollLeft-m.x,y:u.top+h.scrollTop-m.y,width:u.width,height:u.height}}function FJ(e){var t=new Map,r=new Set,i=[];e.forEach(function(c){t.set(c.name,c)});function o(c){r.add(c.name);var u=[].concat(c.requires||[],c.requiresIfExists||[]);u.forEach(function(h){if(!r.has(h)){var m=t.get(h);m&&o(m)}}),i.push(c)}return e.forEach(function(c){r.has(c.name)||o(c)}),i}function zJ(e){var t=FJ(e);return 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Cie={bg:"blackAlpha.600",zIndex:"overlay"},wie={display:"flex",zIndex:"modal",justifyContent:"center"},_ie=e=>{const{isFullHeight:t}=e;return{...t&&{height:"100vh"},zIndex:"modal",maxH:"100vh",bg:ze("white","gray.700")(e),color:"inherit",boxShadow:ze("lg","dark-lg")(e)}},Nie={px:"6",py:"4",fontSize:"xl",fontWeight:"semibold"},Eie={position:"absolute",top:"2",insetEnd:"3"},Tie={px:"6",py:"2",flex:"1",overflow:"auto"},Rie={px:"6",py:"4"},Aie=U5(e=>({overlay:Cie,dialogContainer:wie,dialog:na(_ie,e),header:Nie,closeButton:Eie,body:Tie,footer:Rie})),kie={xs:Mm("xs"),sm:Mm("md"),md:Mm("lg"),lg:Mm("2xl"),xl:Mm("4xl"),full:Mm("full")},Oie=xie({baseStyle:Aie,sizes:kie,defaultProps:{size:"xs"}}),{definePartsStyle:Die,defineMultiStyleConfig:Mie}=Mr(dre.keys),Pie={borderRadius:"md",py:"1",transitionProperty:"common",transitionDuration:"normal"},Lie={borderRadius:"md",py:"1",transitionProperty:"common",transitionDuration:"normal",width:"full",_focusVisible:{boxShadow:"outline"},_placeholder:{opacity:.6}},Iie={borderRadius:"md",py:"1",transitionProperty:"common",transitionDuration:"normal",width:"full",_focusVisible:{boxShadow:"outline"},_placeholder:{opacity:.6}},Fie=Die({preview:Pie,input:Lie,textarea:Iie}),zie=Mie({baseStyle:Fie}),{definePartsStyle:Bie,defineMultiStyleConfig:Uie}=Mr(pre.keys),jie=e=>({marginStart:"1",color:ze("red.500","red.300")(e)}),$ie=e=>({mt:"2",color:ze("gray.600","whiteAlpha.600")(e),lineHeight:"normal",fontSize:"sm"}),Vie=Bie(e=>({container:{width:"100%",position:"relative"},requiredIndicator:na(jie,e),helperText:na($ie,e)})),Hie=Uie({baseStyle:Vie}),{definePartsStyle:Wie,defineMultiStyleConfig:Gie}=Mr(hre.keys),Yie=e=>({color:ze("red.500","red.300")(e),mt:"2",fontSize:"sm",lineHeight:"normal"}),qie=e=>({marginEnd:"0.5em",color:ze("red.500","red.300")(e)}),Kie=Wie(e=>({text:na(Yie,e),icon:na(qie,e)})),Zie=Gie({baseStyle:Kie}),Xie={fontSize:"md",marginEnd:"3",mb:"2",fontWeight:"medium",transitionProperty:"common",transitionDuration:"normal",opacity:1,_disabled:{opacity:.4}},Qie={baseStyle:Xie},Jie={fontFamily:"heading",fontWeight:"bold"},eoe={"4xl":{fontSize:["6xl",null,"7xl"],lineHeight:1},"3xl":{fontSize:["5xl",null,"6xl"],lineHeight:1},"2xl":{fontSize:["4xl",null,"5xl"],lineHeight:[1.2,null,1]},xl:{fontSize:["3xl",null,"4xl"],lineHeight:[1.33,null,1.2]},lg:{fontSize:["2xl",null,"3xl"],lineHeight:[1.33,null,1.2]},md:{fontSize:"xl",lineHeight:1.2},sm:{fontSize:"md",lineHeight:1.2},xs:{fontSize:"sm",lineHeight:1.2}},toe={baseStyle:Jie,sizes:eoe,defaultProps:{size:"xl"}},{definePartsStyle:vc,defineMultiStyleConfig:noe}=Mr(mre.keys),roe=vc({field:{width:"100%",minWidth:0,outline:0,position:"relative",appearance:"none",transitionProperty:"common",transitionDuration:"normal",_disabled:{opacity:.4,cursor:"not-allowed"}}}),Rf={lg:{fontSize:"lg",px:"4",h:"12",borderRadius:"md"},md:{fontSize:"md",px:"4",h:"10",borderRadius:"md"},sm:{fontSize:"sm",px:"3",h:"8",borderRadius:"sm"},xs:{fontSize:"xs",px:"2",h:"6",borderRadius:"sm"}},aoe={lg:vc({field:Rf.lg,addon:Rf.lg}),md:vc({field:Rf.md,addon:Rf.md}),sm:vc({field:Rf.sm,addon:Rf.sm}),xs:vc({field:Rf.xs,addon:Rf.xs})};function Hk(e){const{focusBorderColor:t,errorBorderColor:r}=e;return{focusBorderColor:t||ze("blue.500","blue.300")(e),errorBorderColor:r||ze("red.500","red.300")(e)}}var ioe=vc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=Hk(e);return{field:{border:"1px solid",borderColor:"inherit",bg:"inherit",_hover:{borderColor:ze("gray.300","whiteAlpha.400")(e)},_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Da(t,i),boxShadow:`0 0 0 1px ${Da(t,i)}`},_focusVisible:{zIndex:1,borderColor:Da(t,r),boxShadow:`0 0 0 1px ${Da(t,r)}`}},addon:{border:"1px solid",borderColor:ze("inherit","whiteAlpha.50")(e),bg:ze("gray.100","whiteAlpha.300")(e)}}}),ooe=vc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=Hk(e);return{field:{border:"2px solid",borderColor:"transparent",bg:ze("gray.100","whiteAlpha.50")(e),_hover:{bg:ze("gray.200","whiteAlpha.100")(e)},_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Da(t,i)},_focusVisible:{bg:"transparent",borderColor:Da(t,r)}},addon:{border:"2px solid",borderColor:"transparent",bg:ze("gray.100","whiteAlpha.50")(e)}}}),soe=vc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=Hk(e);return{field:{borderBottom:"1px solid",borderColor:"inherit",borderRadius:"0",px:"0",bg:"transparent",_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Da(t,i),boxShadow:`0px 1px 0px 0px ${Da(t,i)}`},_focusVisible:{borderColor:Da(t,r),boxShadow:`0px 1px 0px 0px ${Da(t,r)}`}},addon:{borderBottom:"2px solid",borderColor:"inherit",borderRadius:"0",px:"0",bg:"transparent"}}}),loe=vc({field:{bg:"transparent",px:"0",height:"auto"},addon:{bg:"transparent",px:"0",height:"auto"}}),uoe={outline:ioe,filled:ooe,flushed:soe,unstyled:loe},nr=noe({baseStyle:roe,sizes:aoe,variants:uoe,defaultProps:{size:"md",variant:"outline"}}),coe=e=>({bg:ze("gray.100","whiteAlpha")(e),borderRadius:"md",borderWidth:"1px",borderBottomWidth:"3px",fontSize:"0.8em",fontWeight:"bold",lineHeight:"normal",px:"0.4em",whiteSpace:"nowrap"}),foe={baseStyle:coe},doe={transitionProperty:"common",transitionDuration:"fast",transitionTimingFunction:"ease-out",cursor:"pointer",textDecoration:"none",outline:"none",color:"inherit",_hover:{textDecoration:"underline"},_focusVisible:{boxShadow:"outline"}},poe={baseStyle:doe},{defineMultiStyleConfig:hoe,definePartsStyle:moe}=Mr(vre.keys),voe={marginEnd:"2",display:"inline",verticalAlign:"text-bottom"},goe=moe({icon:voe}),yoe=hoe({baseStyle:goe}),{defineMultiStyleConfig:boe,definePartsStyle:Soe}=Mr(gre.keys),xoe=e=>({bg:ze("#fff","gray.700")(e),boxShadow:ze("sm","dark-lg")(e),color:"inherit",minW:"3xs",py:"2",zIndex:1,borderRadius:"md",borderWidth:"1px"}),Coe=e=>({py:"1.5",px:"3",transitionProperty:"background",transitionDuration:"ultra-fast",transitionTimingFunction:"ease-in",_focus:{bg:ze("gray.100","whiteAlpha.100")(e)},_active:{bg:ze("gray.200","whiteAlpha.200")(e)},_expanded:{bg:ze("gray.100","whiteAlpha.100")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),woe={mx:4,my:2,fontWeight:"semibold",fontSize:"sm"},_oe={opacity:.6},Noe={border:0,borderBottom:"1px solid",borderColor:"inherit",my:"2",opacity:.6},Eoe={transitionProperty:"common",transitionDuration:"normal"},Toe=Soe(e=>({button:Eoe,list:na(xoe,e),item:na(Coe,e),groupTitle:woe,command:_oe,divider:Noe})),Roe=boe({baseStyle:Toe}),{defineMultiStyleConfig:Aoe,definePartsStyle:j5}=Mr(yre.keys),koe={bg:"blackAlpha.600",zIndex:"modal"},Ooe=e=>{const{isCentered:t,scrollBehavior:r}=e;return{display:"flex",zIndex:"modal",justifyContent:"center",alignItems:t?"center":"flex-start",overflow:r==="inside"?"hidden":"auto"}},Doe=e=>{const{scrollBehavior:t}=e;return{borderRadius:"md",bg:ze("white","gray.700")(e),color:"inherit",my:"16",zIndex:"modal",maxH:t==="inside"?"calc(100% - 7.5rem)":void 0,boxShadow:ze("lg","dark-lg")(e)}},Moe={px:"6",py:"4",fontSize:"xl",fontWeight:"semibold"},Poe={position:"absolute",top:"2",insetEnd:"3"},Loe=e=>{const{scrollBehavior:t}=e;return{px:"6",py:"2",flex:"1",overflow:t==="inside"?"auto":void 0}},Ioe={px:"6",py:"4"},Foe=j5(e=>({overlay:koe,dialogContainer:na(Ooe,e),dialog:na(Doe,e),header:Moe,closeButton:Poe,body:na(Loe,e),footer:Ioe}));function xl(e){return j5(e==="full"?{dialog:{maxW:"100vw",minH:"$100vh",my:"0",borderRadius:"0"}}:{dialog:{maxW:e}})}var zoe={xs:xl("xs"),sm:xl("sm"),md:xl("md"),lg:xl("lg"),xl:xl("xl"),"2xl":xl("2xl"),"3xl":xl("3xl"),"4xl":xl("4xl"),"5xl":xl("5xl"),"6xl":xl("6xl"),full:xl("full")},Boe=Aoe({baseStyle:Foe,sizes:zoe,defaultProps:{size:"md"}}),Uoe={letterSpacings:{tighter:"-0.05em",tight:"-0.025em",normal:"0",wide:"0.025em",wider:"0.05em",widest:"0.1em"},lineHeights:{normal:"normal",none:1,shorter:1.25,short:1.375,base:1.5,tall:1.625,taller:"2",3:".75rem",4:"1rem",5:"1.25rem",6:"1.5rem",7:"1.75rem",8:"2rem",9:"2.25rem",10:"2.5rem"},fontWeights:{hairline:100,thin:200,light:300,normal:400,medium:500,semibold:600,bold:700,extrabold:800,black:900},fonts:{heading:'-apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"',body:'-apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol"',mono:'SFMono-Regular,Menlo,Monaco,Consolas,"Liberation Mono","Courier New",monospace'},fontSizes:{"3xs":"0.45rem","2xs":"0.625rem",xs:"0.75rem",sm:"0.875rem",md:"1rem",lg:"1.125rem",xl:"1.25rem","2xl":"1.5rem","3xl":"1.875rem","4xl":"2.25rem","5xl":"3rem","6xl":"3.75rem","7xl":"4.5rem","8xl":"6rem","9xl":"8rem"}},z8=Uoe,{defineMultiStyleConfig:joe,definePartsStyle:B8}=Mr(bre.keys),Wk=Ro("number-input-stepper-width"),U8=Ro("number-input-input-padding"),$oe=mc(Wk).add("0.5rem").toString(),Voe={[Wk.variable]:"sizes.6",[U8.variable]:$oe},Hoe=e=>{var t;return((t=na(nr.baseStyle,e))==null?void 0:t.field)??{}},Woe={width:[Wk.reference]},Goe=e=>({borderStart:"1px solid",borderStartColor:ze("inherit","whiteAlpha.300")(e),color:ze("inherit","whiteAlpha.800")(e),_active:{bg:ze("gray.200","whiteAlpha.300")(e)},_disabled:{opacity:.4,cursor:"not-allowed"}}),Yoe=B8(e=>({root:Voe,field:Hoe,stepperGroup:Woe,stepper:na(Goe,e)??{}}));function Sx(e){var t,r;const i=(t=nr.sizes)==null?void 0:t[e],o={lg:"md",md:"md",sm:"sm",xs:"sm"},c=((r=i.field)==null?void 0:r.fontSize)??"md",u=z8.fontSizes[c];return B8({field:{...i.field,paddingInlineEnd:U8.reference,verticalAlign:"top"},stepper:{fontSize:mc(u).multiply(.75).toString(),_first:{borderTopEndRadius:o[e]},_last:{borderBottomEndRadius:o[e],mt:"-1px",borderTopWidth:1}}})}var qoe={xs:Sx("xs"),sm:Sx("sm"),md:Sx("md"),lg:Sx("lg")},Koe=joe({baseStyle:Yoe,sizes:qoe,variants:nr.variants,defaultProps:nr.defaultProps}),s6,Zoe={...(s6=nr.baseStyle)==null?void 0:s6.field,textAlign:"center"},Xoe={lg:{fontSize:"lg",w:12,h:12,borderRadius:"md"},md:{fontSize:"md",w:10,h:10,borderRadius:"md"},sm:{fontSize:"sm",w:8,h:8,borderRadius:"sm"},xs:{fontSize:"xs",w:6,h:6,borderRadius:"sm"}},l6,Qoe={outline:e=>{var t,r;return((r=na((t=nr.variants)==null?void 0:t.outline,e))==null?void 0:r.field)??{}},flushed:e=>{var t,r;return((r=na((t=nr.variants)==null?void 0:t.flushed,e))==null?void 0:r.field)??{}},filled:e=>{var t,r;return((r=na((t=nr.variants)==null?void 0:t.filled,e))==null?void 0:r.field)??{}},unstyled:((l6=nr.variants)==null?void 0:l6.unstyled.field)??{}},Joe={baseStyle:Zoe,sizes:Xoe,variants:Qoe,defaultProps:nr.defaultProps},{defineMultiStyleConfig:ese,definePartsStyle:tse}=Mr(Sre.keys),xR=Ro("popper-bg"),nse=Ro("popper-arrow-bg"),rse=Ro("popper-arrow-shadow-color"),ase={zIndex:10},ise=e=>{const t=ze("white","gray.700")(e),r=ze("gray.200","whiteAlpha.300")(e);return{[xR.variable]:`colors.${t}`,bg:xR.reference,[nse.variable]:xR.reference,[rse.variable]:`colors.${r}`,width:"xs",border:"1px solid",borderColor:"inherit",borderRadius:"md",boxShadow:"sm",zIndex:"inherit",_focusVisible:{outline:0,boxShadow:"outline"}}},ose={px:3,py:2,borderBottomWidth:"1px"},sse={px:3,py:2},lse={px:3,py:2,borderTopWidth:"1px"},use={position:"absolute",borderRadius:"md",top:1,insetEnd:2,padding:2},cse=tse(e=>({popper:ase,content:ise(e),header:ose,body:sse,footer:lse,closeButton:use})),fse=ese({baseStyle:cse}),{defineMultiStyleConfig:dse,definePartsStyle:U0}=Mr(xre.keys),pse=e=>{const{colorScheme:t,theme:r,isIndeterminate:i,hasStripe:o}=e,c=ze(n6(),n6("1rem","rgba(0,0,0,0.1)"))(e),u=ze(`${t}.500`,`${t}.200`)(e),h=`linear-gradient(
+    to right,
+    transparent 0%,
+    ${Da(r,u)} 50%,
+    transparent 100%
+  )`;return{...!i&&o&&c,...i?{bgImage:h}:{bgColor:u}}},hse={lineHeight:"1",fontSize:"0.25em",fontWeight:"bold",color:"white"},mse=e=>({bg:ze("gray.100","whiteAlpha.300")(e)}),vse=e=>({transitionProperty:"common",transitionDuration:"slow",...pse(e)}),gse=U0(e=>({label:hse,filledTrack:vse(e),track:mse(e)})),yse={xs:U0({track:{h:"1"}}),sm:U0({track:{h:"2"}}),md:U0({track:{h:"3"}}),lg:U0({track:{h:"4"}})},bse=dse({sizes:yse,baseStyle:gse,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:Sse,definePartsStyle:Vx}=Mr(Cre.keys),xse=e=>{var t;const r=(t=na(N2.baseStyle,e))==null?void 0:t.control;return{...r,borderRadius:"full",_checked:{...r?._checked,_before:{content:'""',display:"inline-block",pos:"relative",w:"50%",h:"50%",borderRadius:"50%",bg:"currentColor"}}}},Cse=Vx(e=>{var t,r,i,o;return{label:(r=(t=N2).baseStyle)==null?void 0:r.call(t,e).label,container:(o=(i=N2).baseStyle)==null?void 0:o.call(i,e).container,control:xse(e)}}),wse={md:Vx({control:{w:"4",h:"4"},label:{fontSize:"md"}}),lg:Vx({control:{w:"5",h:"5"},label:{fontSize:"lg"}}),sm:Vx({control:{width:"3",height:"3"},label:{fontSize:"sm"}})},_se=Sse({baseStyle:Cse,sizes:wse,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:Nse,definePartsStyle:Ese}=Mr(wre.keys),Tse=e=>{var t;return{...(t=nr.baseStyle)==null?void 0:t.field,bg:ze("white","gray.700")(e),appearance:"none",paddingBottom:"1px",lineHeight:"normal","> option, > optgroup":{bg:ze("white","gray.700")(e)}}},Rse={width:"6",height:"100%",insetEnd:"2",position:"relative",color:"currentColor",fontSize:"xl",_disabled:{opacity:.5}},Ase=Ese(e=>({field:Tse(e),icon:Rse})),xx={paddingInlineEnd:"8"},u6,c6,f6,d6,p6,h6,m6,v6,kse={lg:{...(u6=nr.sizes)==null?void 0:u6.lg,field:{...(c6=nr.sizes)==null?void 0:c6.lg.field,...xx}},md:{...(f6=nr.sizes)==null?void 0:f6.md,field:{...(d6=nr.sizes)==null?void 0:d6.md.field,...xx}},sm:{...(p6=nr.sizes)==null?void 0:p6.sm,field:{...(h6=nr.sizes)==null?void 0:h6.sm.field,...xx}},xs:{...(m6=nr.sizes)==null?void 0:m6.xs,field:{...(v6=nr.sizes)==null?void 0:v6.sm.field,...xx},icon:{insetEnd:"1"}}},Ose=Nse({baseStyle:Ase,sizes:kse,variants:nr.variants,defaultProps:nr.defaultProps}),Dse=rd("skeleton-start-color"),Mse=rd("skeleton-end-color"),Pse=e=>{const t=ze("gray.100","gray.800")(e),r=ze("gray.400","gray.600")(e),{startColor:i=t,endColor:o=r,theme:c}=e,u=Da(c,i),h=Da(c,o);return{[Dse.variable]:u,[Mse.variable]:h,opacity:.7,borderRadius:"2px",borderColor:u,background:h}},Lse={baseStyle:Pse},Ise=e=>({borderRadius:"md",fontWeight:"semibold",_focusVisible:{boxShadow:"outline",padding:"4",position:"fixed",top:"6",insetStart:"6",bg:ze("white","gray.700")(e)}}),Fse={baseStyle:Ise},{defineMultiStyleConfig:zse,definePartsStyle:gC}=Mr(_re.keys),Ny=rd("slider-thumb-size"),Ey=rd("slider-track-size"),Bse=e=>{const{orientation:t}=e;return{display:"inline-block",position:"relative",cursor:"pointer",_disabled:{opacity:.6,cursor:"default",pointerEvents:"none"},...$k({orientation:t,vertical:{h:"100%"},horizontal:{w:"100%"}})}},Use=e=>({...$k({orientation:e.orientation,horizontal:{h:Ey.reference},vertical:{w:Ey.reference}}),overflow:"hidden",borderRadius:"sm",bg:ze("gray.200","whiteAlpha.200")(e),_disabled:{bg:ze("gray.300","whiteAlpha.300")(e)}}),jse=e=>{const{orientation:t}=e;return{...$k({orientation:t,vertical:{left:"50%",transform:"translateX(-50%)",_active:{transform:"translateX(-50%) scale(1.15)"}},horizontal:{top:"50%",transform:"translateY(-50%)",_active:{transform:"translateY(-50%) scale(1.15)"}}}),w:Ny.reference,h:Ny.reference,display:"flex",alignItems:"center",justifyContent:"center",position:"absolute",outline:0,zIndex:1,borderRadius:"full",bg:"white",boxShadow:"base",border:"1px 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+ * @license React
+ * use-sync-external-store-shim.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */(function(){typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart(new Error);var e=D.exports,t=e.__SECRET_INTERNALS_DO_NOT_USE_OR_YOU_WILL_BE_FIRED;function r(F){{for(var B=arguments.length,$=new Array(B>1?B-1:0),K=1;K<B;K++)$[K-1]=arguments[K];i("error",F,$)}}function i(F,B,$){{var K=t.ReactDebugCurrentFrame,Z=K.getStackAddendum();Z!==""&&(B+="%s",$=$.concat([Z]));var fe=$.map(function(me){return String(me)});fe.unshift("Warning: "+B),Function.prototype.apply.call(console[F],console,fe)}}function o(F,B){return F===B&&(F!==0||1/F===1/B)||F!==F&&B!==B}var c=typeof Object.is=="function"?Object.is:o,u=e.useState,h=e.useEffect,m=e.useLayoutEffect,v=e.useDebugValue,S=!1,x=!1;function w(F,B,$){S||e.startTransition!==void 0&&(S=!0,r("You are using an outdated, pre-release alpha of React 18 that does not support useSyncExternalStore. The use-sync-external-store shim will not work correctly. Upgrade to a newer pre-release."));var K=B();if(!x){var Z=B();c(K,Z)||(r("The result of getSnapshot should be cached to avoid an infinite loop"),x=!0)}var fe=u({inst:{value:K,getSnapshot:B}}),me=fe[0].inst,se=fe[1];return m(function(){me.value=K,me.getSnapshot=B,_(me)&&se({inst:me})},[F,K,B]),h(function(){_(me)&&se({inst:me});var Se=function(){_(me)&&se({inst:me})};return F(Se)},[F]),v(K),K}function _(F){var B=F.getSnapshot,$=F.value;try{var K=B();return!c($,K)}catch{return!0}}function R(F,B,$){return B()}var k=typeof window<"u"&&typeof window.document<"u"&&typeof window.document.createElement<"u",P=!k,U=P?R:w,L=e.useSyncExternalStore!==void 0?e.useSyncExternalStore:U;uF.useSyncExternalStore=L,typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop(new Error)})();(function(e){e.exports=uF})(lF);var cF={exports:{}},fF={};/**
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+ * use-sync-external-store-shim/with-selector.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */(function(){typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStart(new Error);var e=D.exports,t=lF.exports;function r(S,x){return S===x&&(S!==0||1/S===1/x)||S!==S&&x!==x}var i=typeof Object.is=="function"?Object.is:r,o=t.useSyncExternalStore,c=e.useRef,u=e.useEffect,h=e.useMemo,m=e.useDebugValue;function v(S,x,w,_,R){var k=c(null),P;k.current===null?(P={hasValue:!1,value:null},k.current=P):P=k.current;var U=h(function(){var $=!1,K,Z,fe=function(Ke){if(!$){$=!0,K=Ke;var ae=_(Ke);if(R!==void 0&&P.hasValue){var ce=P.value;if(R(ce,ae))return Z=ce,ce}return Z=ae,ae}var ge=K,_e=Z;if(i(ge,Ke))return _e;var oe=_(Ke);return R!==void 0&&R(_e,oe)?_e:(K=Ke,Z=oe,oe)},me=w===void 0?null:w,se=function(){return fe(x())},Se=me===null?void 0:function(){return fe(me())};return[se,Se]},[x,w,_,R]),L=U[0],F=U[1],B=o(S,L,F);return u(function(){P.hasValue=!0,P.value=B},[B]),m(B),B}fF.useSyncExternalStoreWithSelector=v,typeof __REACT_DEVTOOLS_GLOBAL_HOOK__<"u"&&typeof __REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop=="function"&&__REACT_DEVTOOLS_GLOBAL_HOOK__.registerInternalModuleStop(new Error)})();(function(e){e.exports=fF})(cF);function Bce(e){e()}let dF=Bce;const Uce=e=>dF=e,jce=()=>dF,wc=Be.createContext(null);wc.displayName="ReactRedux";function pF(){const e=D.exports.useContext(wc);if(!e)throw new Error("could not find react-redux context value; please ensure the component is wrapped in a <Provider>");return e}const $ce=()=>{throw new Error("uSES not initialized!")};let hF=$ce;const Vce=e=>{hF=e},Hce=(e,t)=>e===t;function Wce(e=wc){const t=e===wc?pF:()=>D.exports.useContext(e);return function(i,o=Hce){{if(!i)throw new Error("You must pass a selector to useSelector");if(typeof i!="function")throw new Error("You must pass a function as a selector to useSelector");if(typeof o!="function")throw new Error("You must pass a function as an equality function to useSelector")}const{store:c,subscription:u,getServerState:h}=t(),m=hF(u.addNestedSub,c.getState,h||c.getState,i,o);return D.exports.useDebugValue(m),m}}const Gce=Wce();var Yce={exports:{}},cr={};/**
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+ * react-is.development.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
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+ * @license
+ * Lodash <https://lodash.com/>
+ * Copyright OpenJS Foundation and other contributors <https://openjsf.org/>
+ * Released under MIT license <https://lodash.com/license>
+ * Based on Underscore.js 1.8.3 <http://underscorejs.org/LICENSE>
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Error{constructor(t,r,i){super(t),this.description=r,this.context=i,this.type="TransportError"}}class VF extends pa{constructor(t){super(),this.writable=!1,bC(this,t),this.opts=t,this.query=t.query,this.readyState="",this.socket=t.socket}onError(t,r,i){return super.emitReserved("error",new bde(t,r,i)),this}open(){return(this.readyState==="closed"||this.readyState==="")&&(this.readyState="opening",this.doOpen()),this}close(){return(this.readyState==="opening"||this.readyState==="open")&&(this.doClose(),this.onClose()),this}send(t){this.readyState==="open"&&this.write(t)}onOpen(){this.readyState="open",this.writable=!0,super.emitReserved("open")}onData(t){const r=zF(t,this.socket.binaryType);this.onPacket(r)}onPacket(t){super.emitReserved("packet",t)}onClose(t){this.readyState="closed",super.emitReserved("close",t)}}const HF="0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz-_".split(""),oA=64,Sde={};let J6=0,wx=0,eL;function tL(e){let t="";do t=HF[e%oA]+t,e=Math.floor(e/oA);while(e>0);return t}function WF(){const e=tL(+new Date);return e!==eL?(J6=0,eL=e):e+"."+tL(J6++)}for(;wx<oA;wx++)Sde[HF[wx]]=wx;function GF(e){let t="";for(let r in e)e.hasOwnProperty(r)&&(t.length&&(t+="&"),t+=encodeURIComponent(r)+"="+encodeURIComponent(e[r]));return t}function xde(e){let t={},r=e.split("&");for(let i=0,o=r.length;i<o;i++){let c=r[i].split("=");t[decodeURIComponent(c[0])]=decodeURIComponent(c[1])}return t}let YF=!1;try{YF=typeof XMLHttpRequest<"u"&&"withCredentials"in new XMLHttpRequest}catch{}const Cde=YF;function qF(e){const t=e.xdomain;try{if(typeof XMLHttpRequest<"u"&&(!t||Cde))return new XMLHttpRequest}catch{}if(!t)try{return new $f[["Active"].concat("Object").join("X")]("Microsoft.XMLHTTP")}catch{}}function wde(){}const _de=function(){return new qF({xdomain:!1}).responseType!=null}();class Nde extends VF{constructor(t){if(super(t),this.polling=!1,typeof location<"u"){const i=location.protocol==="https:";let o=location.port;o||(o=i?"443":"80"),this.xd=typeof location<"u"&&t.hostname!==location.hostname||o!==t.port,this.xs=t.secure!==i}const r=t&&t.forceBase64;this.supportsBinary=_de&&!r}get name(){return"polling"}doOpen(){this.poll()}pause(t){this.readyState="pausing";const r=()=>{this.readyState="paused",t()};if(this.polling||!this.writable){let i=0;this.polling&&(i++,this.once("pollComplete",function(){--i||r()})),this.writable||(i++,this.once("drain",function(){--i||r()}))}else r()}poll(){this.polling=!0,this.doPoll(),this.emitReserved("poll")}onData(t){const r=i=>{if(this.readyState==="opening"&&i.type==="open"&&this.onOpen(),i.type==="close")return this.onClose({description:"transport closed by the server"}),!1;this.onPacket(i)};dde(t,this.socket.binaryType).forEach(r),this.readyState!=="closed"&&(this.polling=!1,this.emitReserved("pollComplete"),this.readyState==="open"&&this.poll())}doClose(){const t=()=>{this.write([{type:"close"}])};this.readyState==="open"?t():this.once("open",t)}write(t){this.writable=!1,fde(t,r=>{this.doWrite(r,()=>{this.writable=!0,this.emitReserved("drain")})})}uri(){let t=this.query||{};const r=this.opts.secure?"https":"http";let i="";this.opts.timestampRequests!==!1&&(t[this.opts.timestampParam]=WF()),!this.supportsBinary&&!t.sid&&(t.b64=1),this.opts.port&&(r==="https"&&Number(this.opts.port)!==443||r==="http"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port);const o=GF(t),c=this.opts.hostname.indexOf(":")!==-1;return r+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(o.length?"?"+o:"")}request(t={}){return Object.assign(t,{xd:this.xd,xs:this.xs},this.opts),new gu(this.uri(),t)}doWrite(t,r){const i=this.request({method:"POST",data:t});i.on("success",r),i.on("error",(o,c)=>{this.onError("xhr post error",o,c)})}doPoll(){const t=this.request();t.on("data",this.onData.bind(this)),t.on("error",(r,i)=>{this.onError("xhr poll error",r,i)}),this.pollXhr=t}}class gu extends pa{constructor(t,r){super(),bC(this,r),this.opts=r,this.method=r.method||"GET",this.uri=t,this.async=r.async!==!1,this.data=r.data!==void 0?r.data:null,this.create()}create(){const t=$F(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");t.xdomain=!!this.opts.xd,t.xscheme=!!this.opts.xs;const r=this.xhr=new qF(t);try{r.open(this.method,this.uri,this.async);try{if(this.opts.extraHeaders){r.setDisableHeaderCheck&&r.setDisableHeaderCheck(!0);for(let i in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=gu.requestsCount++,gu.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=wde,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete gu.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}}gu.requestsCount=0;gu.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",nL);else if(typeof addEventListener=="function"){const e="onpagehide"in $f?"pagehide":"unload";addEventListener(e,nL,!1)}}function nL(){for(let e in gu.requests)gu.requests.hasOwnProperty(e)&&gu.requests[e].abort()}const Ede=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,r)=>r(t,0))(),_x=$f.WebSocket||$f.MozWebSocket,rL=!0,Tde="arraybuffer",aL=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class Rde extends VF{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),r=this.opts.protocols,i=aL?{}:$F(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(i.headers=this.opts.extraHeaders);try{this.ws=rL&&!aL?r?new _x(t,r):new _x(t):new _x(t,r,i)}catch(o){return this.emitReserved("error",o)}this.ws.binaryType=this.socket.binaryType||Tde,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let r=0;r<t.length;r++){const i=t[r],o=r===t.length-1;FF(i,this.supportsBinary,c=>{const u={};try{rL&&this.ws.send(c)}catch{}o&&Ede(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){let t=this.query||{};const r=this.opts.secure?"wss":"ws";let i="";this.opts.port&&(r==="wss"&&Number(this.opts.port)!==443||r==="ws"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port),this.opts.timestampRequests&&(t[this.opts.timestampParam]=WF()),this.supportsBinary||(t.b64=1);const o=GF(t),c=this.opts.hostname.indexOf(":")!==-1;return r+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(o.length?"?"+o:"")}check(){return!!_x}}const Ade={websocket:Rde,polling:Nde},kde=/^(?:(?![^:@]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@]*)(?::([^:@]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,Ode=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function sA(e){const t=e,r=e.indexOf("["),i=e.indexOf("]");r!=-1&&i!=-1&&(e=e.substring(0,r)+e.substring(r,i).replace(/:/g,";")+e.substring(i,e.length));let o=kde.exec(e||""),c={},u=14;for(;u--;)c[Ode[u]]=o[u]||"";return r!=-1&&i!=-1&&(c.source=t,c.host=c.host.substring(1,c.host.length-1).replace(/;/g,":"),c.authority=c.authority.replace("[","").replace("]","").replace(/;/g,":"),c.ipv6uri=!0),c.pathNames=Dde(c,c.path),c.queryKey=Mde(c,c.query),c}function Dde(e,t){const r=/\/{2,9}/g,i=t.replace(r,"/").split("/");return(t.substr(0,1)=="/"||t.length===0)&&i.splice(0,1),t.substr(t.length-1,1)=="/"&&i.splice(i.length-1,1),i}function Mde(e,t){const r={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(i,o,c){o&&(r[o]=c)}),r}class Ff extends pa{constructor(t,r={}){super(),t&&typeof t=="object"&&(r=t,t=null),t?(t=sA(t),r.hostname=t.host,r.secure=t.protocol==="https"||t.protocol==="wss",r.port=t.port,t.query&&(r.query=t.query)):r.host&&(r.hostname=sA(r.host).host),bC(this,r),this.secure=r.secure!=null?r.secure:typeof location<"u"&&location.protocol==="https:",r.hostname&&!r.port&&(r.port=this.secure?"443":"80"),this.hostname=r.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=r.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=r.transports||["polling","websocket"],this.readyState="",this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!0},r),this.opts.path=this.opts.path.replace(/\/$/,"")+"/",typeof this.opts.query=="string"&&(this.opts.query=xde(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&addEventListener("beforeunload",()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},!1),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const r=Object.assign({},this.opts.query);r.EIO=jF,r.transport=t,this.id&&(r.sid=this.id);const i=Object.assign({},this.opts.transportOptions[t],this.opts,{query:r,socket:this,hostname:this.hostname,secure:this.secure,port:this.port});return new Ade[t](i)}open(){let t;if(this.opts.rememberUpgrade&&Ff.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",r=>this.onClose("transport close",r))}probe(t){let r=this.createTransport(t),i=!1;Ff.priorWebsocketSuccess=!1;const o=()=>{i||(r.send([{type:"ping",data:"probe"}]),r.once("packet",x=>{if(!i)if(x.type==="pong"&&x.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",r),!r)return;Ff.priorWebsocketSuccess=r.name==="websocket",this.transport.pause(()=>{i||this.readyState!=="closed"&&(S(),this.setTransport(r),r.send([{type:"upgrade"}]),this.emitReserved("upgrade",r),r=null,this.upgrading=!1,this.flush())})}else{const w=new Error("probe error");w.transport=r.name,this.emitReserved("upgradeError",w)}}))};function c(){i||(i=!0,S(),r.close(),r=null)}const u=x=>{const w=new Error("probe error: "+x);w.transport=r.name,c(),this.emitReserved("upgradeError",w)};function h(){u("transport closed")}function m(){u("socket closed")}function v(x){r&&x.name!==r.name&&c()}const S=()=>{r.removeListener("open",o),r.removeListener("error",u),r.removeListener("close",h),this.off("close",m),this.off("upgrading",v)};r.once("open",o),r.once("error",u),r.once("close",h),this.once("close",m),this.once("upgrading",v),r.open()}onOpen(){if(this.readyState="open",Ff.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade&&this.transport.pause){let t=0;const r=this.upgrades.length;for(;t<r;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const r=new Error("server error");r.code=t.data,this.onError(r);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let r=1;for(let i=0;i<this.writeBuffer.length;i++){const o=this.writeBuffer[i].data;if(o&&(r+=gde(o)),i>0&&r>this.maxPayload)return this.writeBuffer.slice(0,i);r+=2}return this.writeBuffer}write(t,r,i){return this.sendPacket("message",t,r,i),this}send(t,r,i){return this.sendPacket("message",t,r,i),this}sendPacket(t,r,i,o){if(typeof r=="function"&&(o=r,r=void 0),typeof i=="function"&&(o=i,i=null),this.readyState==="closing"||this.readyState==="closed")return;i=i||{},i.compress=i.compress!==!1;const c={type:t,data:r,options:i};this.emitReserved("packetCreate",c),this.writeBuffer.push(c),o&&this.once("flush",o),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},r=()=>{this.off("upgrade",r),this.off("upgradeError",r),t()},i=()=>{this.once("upgrade",r),this.once("upgradeError",r)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?i():t()}):this.upgrading?i():t()),this}onError(t){Ff.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,r){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&removeEventListener("offline",this.offlineEventListener,!1),this.readyState="closed",this.id=null,this.emitReserved("close",t,r),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const r=[];let i=0;const o=t.length;for(;i<o;i++)~this.transports.indexOf(t[i])&&r.push(t[i]);return r}}Ff.protocol=jF;function Pde(e,t="",r){let i=e;r=r||typeof location<"u"&&location,e==null&&(e=r.protocol+"//"+r.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=r.protocol+e:e=r.host+e),/^(https?|wss?):\/\//.test(e)||(typeof r<"u"?e=r.protocol+"//"+e:e="https://"+e),i=sA(e)),i.port||(/^(http|ws)$/.test(i.protocol)?i.port="80":/^(http|ws)s$/.test(i.protocol)&&(i.port="443")),i.path=i.path||"/";const c=i.host.indexOf(":")!==-1?"["+i.host+"]":i.host;return i.id=i.protocol+"://"+c+":"+i.port+t,i.href=i.protocol+"://"+c+(r&&r.port===i.port?"":":"+i.port),i}const Lde=typeof ArrayBuffer=="function",Ide=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,KF=Object.prototype.toString,Fde=typeof Blob=="function"||typeof Blob<"u"&&KF.call(Blob)==="[object BlobConstructor]",zde=typeof File=="function"||typeof File<"u"&&KF.call(File)==="[object FileConstructor]";function lO(e){return Lde&&(e instanceof ArrayBuffer||Ide(e))||Fde&&e instanceof Blob||zde&&e instanceof File}function Yx(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let r=0,i=e.length;r<i;r++)if(Yx(e[r]))return!0;return!1}if(lO(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return Yx(e.toJSON(),!0);for(const r in e)if(Object.prototype.hasOwnProperty.call(e,r)&&Yx(e[r]))return!0;return!1}function Bde(e){const t=[],r=e.data,i=e;return i.data=lA(r,t),i.attachments=t.length,{packet:i,buffers:t}}function lA(e,t){if(!e)return e;if(lO(e)){const r={_placeholder:!0,num:t.length};return t.push(e),r}else if(Array.isArray(e)){const r=new Array(e.length);for(let i=0;i<e.length;i++)r[i]=lA(e[i],t);return r}else if(typeof e=="object"&&!(e instanceof Date)){const r={};for(const i in e)Object.prototype.hasOwnProperty.call(e,i)&&(r[i]=lA(e[i],t));return r}return e}function Ude(e,t){return e.data=uA(e.data,t),e.attachments=void 0,e}function uA(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let r=0;r<e.length;r++)e[r]=uA(e[r],t);else if(typeof e=="object")for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(e[r]=uA(e[r],t));return e}const jde=5;var Gn;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Gn||(Gn={}));class $de{constructor(t){this.replacer=t}encode(t){return(t.type===Gn.EVENT||t.type===Gn.ACK)&&Yx(t)?(t.type=t.type===Gn.EVENT?Gn.BINARY_EVENT:Gn.BINARY_ACK,this.encodeAsBinary(t)):[this.encodeAsString(t)]}encodeAsString(t){let r=""+t.type;return(t.type===Gn.BINARY_EVENT||t.type===Gn.BINARY_ACK)&&(r+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(r+=t.nsp+","),t.id!=null&&(r+=t.id),t.data!=null&&(r+=JSON.stringify(t.data,this.replacer)),r}encodeAsBinary(t){const r=Bde(t),i=this.encodeAsString(r.packet),o=r.buffers;return o.unshift(i),o}}class uO extends pa{constructor(t){super(),this.reviver=t}add(t){let r;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");r=this.decodeString(t),r.type===Gn.BINARY_EVENT||r.type===Gn.BINARY_ACK?(this.reconstructor=new Vde(r),r.attachments===0&&super.emitReserved("decoded",r)):super.emitReserved("decoded",r)}else if(lO(t)||t.base64)if(this.reconstructor)r=this.reconstructor.takeBinaryData(t),r&&(this.reconstructor=null,super.emitReserved("decoded",r));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let r=0;const i={type:Number(t.charAt(0))};if(Gn[i.type]===void 0)throw new Error("unknown packet type "+i.type);if(i.type===Gn.BINARY_EVENT||i.type===Gn.BINARY_ACK){const c=r+1;for(;t.charAt(++r)!=="-"&&r!=t.length;);const u=t.substring(c,r);if(u!=Number(u)||t.charAt(r)!=="-")throw new Error("Illegal attachments");i.attachments=Number(u)}if(t.charAt(r+1)==="/"){const c=r+1;for(;++r&&!(t.charAt(r)===","||r===t.length););i.nsp=t.substring(c,r)}else i.nsp="/";const o=t.charAt(r+1);if(o!==""&&Number(o)==o){const c=r+1;for(;++r;){const u=t.charAt(r);if(u==null||Number(u)!=u){--r;break}if(r===t.length)break}i.id=Number(t.substring(c,r+1))}if(t.charAt(++r)){const c=this.tryParse(t.substr(r));if(uO.isPayloadValid(i.type,c))i.data=c;else throw new Error("invalid payload")}return i}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,r){switch(t){case Gn.CONNECT:return typeof r=="object";case Gn.DISCONNECT:return r===void 0;case Gn.CONNECT_ERROR:return typeof r=="string"||typeof r=="object";case Gn.EVENT:case Gn.BINARY_EVENT:return Array.isArray(r)&&r.length>0;case Gn.ACK:case Gn.BINARY_ACK:return Array.isArray(r)}}destroy(){this.reconstructor&&this.reconstructor.finishedReconstruction()}}class Vde{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const r=Ude(this.reconPack,this.buffers);return this.finishedReconstruction(),r}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const Hde=Object.freeze(Object.defineProperty({__proto__:null,protocol:jde,get PacketType(){return Gn},Encoder:$de,Decoder:uO},Symbol.toStringTag,{value:"Module"}));function Nl(e,t,r){return e.on(t,r),function(){e.off(t,r)}}const Wde=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class ZF extends pa{constructor(t,r,i){super(),this.connected=!1,this.receiveBuffer=[],this.sendBuffer=[],this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=r,i&&i.auth&&(this.auth=i.auth),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[Nl(t,"open",this.onopen.bind(this)),Nl(t,"packet",this.onpacket.bind(this)),Nl(t,"error",this.onerror.bind(this)),Nl(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...r){if(Wde.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');r.unshift(t);const i={type:Gn.EVENT,data:r};if(i.options={},i.options.compress=this.flags.compress!==!1,typeof r[r.length-1]=="function"){const u=this.ids++,h=r.pop();this._registerAckCallback(u,h),i.id=u}const o=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!o||!this.connected)||(this.connected?(this.notifyOutgoingListeners(i),this.packet(i)):this.sendBuffer.push(i)),this.flags={},this}_registerAckCallback(t,r){const i=this.flags.timeout;if(i===void 0){this.acks[t]=r;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let c=0;c<this.sendBuffer.length;c++)this.sendBuffer[c].id===t&&this.sendBuffer.splice(c,1);r.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...c)=>{this.io.clearTimeoutFn(o),r.apply(this,[null,...c])}}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this.packet({type:Gn.CONNECT,data:t})}):this.packet({type:Gn.CONNECT,data:this.auth})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,r){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,r)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Gn.CONNECT:if(t.data&&t.data.sid){const o=t.data.sid;this.onconnect(o)}else this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Gn.EVENT:case Gn.BINARY_EVENT:this.onevent(t);break;case Gn.ACK:case Gn.BINARY_ACK:this.onack(t);break;case Gn.DISCONNECT:this.ondisconnect();break;case Gn.CONNECT_ERROR:this.destroy();const i=new Error(t.data.message);i.data=t.data.data,this.emitReserved("connect_error",i);break}}onevent(t){const r=t.data||[];t.id!=null&&r.push(this.ack(t.id)),this.connected?this.emitEvent(r):this.receiveBuffer.push(Object.freeze(r))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const r=this._anyListeners.slice();for(const i of r)i.apply(this,t)}super.emit.apply(this,t)}ack(t){const r=this;let i=!1;return function(...o){i||(i=!0,r.packet({type:Gn.ACK,id:t,data:o}))}}onack(t){const r=this.acks[t.id];typeof r=="function"&&(r.apply(this,t.data),delete this.acks[t.id])}onconnect(t){this.id=t,this.connected=!0,this.emitBuffered(),this.emitReserved("connect")}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Gn.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const r=this._anyListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const r=this._anyOutgoingListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const r=this._anyOutgoingListeners.slice();for(const i of r)i.apply(this,t.data)}}}function hv(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}hv.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),r=Math.floor(t*this.jitter*e);e=(Math.floor(t*10)&1)==0?e-r:e+r}return Math.min(e,this.max)|0};hv.prototype.reset=function(){this.attempts=0};hv.prototype.setMin=function(e){this.ms=e};hv.prototype.setMax=function(e){this.max=e};hv.prototype.setJitter=function(e){this.jitter=e};class cA extends pa{constructor(t,r){var i;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(r=t,t=void 0),r=r||{},r.path=r.path||"/socket.io",this.opts=r,bC(this,r),this.reconnection(r.reconnection!==!1),this.reconnectionAttempts(r.reconnectionAttempts||1/0),this.reconnectionDelay(r.reconnectionDelay||1e3),this.reconnectionDelayMax(r.reconnectionDelayMax||5e3),this.randomizationFactor((i=r.randomizationFactor)!==null&&i!==void 0?i:.5),this.backoff=new hv({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(r.timeout==null?2e4:r.timeout),this._readyState="closed",this.uri=t;const o=r.parser||Hde;this.encoder=new o.Encoder,this.decoder=new o.Decoder,this._autoConnect=r.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var r;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(r=this.backoff)===null||r===void 0||r.setMin(t),this)}randomizationFactor(t){var r;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(r=this.backoff)===null||r===void 0||r.setJitter(t),this)}reconnectionDelayMax(t){var r;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(r=this.backoff)===null||r===void 0||r.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new Ff(this.uri,this.opts);const r=this.engine,i=this;this._readyState="opening",this.skipReconnect=!1;const o=Nl(r,"open",function(){i.onopen(),t&&t()}),c=Nl(r,"error",u=>{i.cleanup(),i._readyState="closed",this.emitReserved("error",u),t?t(u):i.maybeReconnectOnOpen()});if(this._timeout!==!1){const u=this._timeout;u===0&&o();const h=this.setTimeoutFn(()=>{o(),r.close(),r.emit("error",new Error("timeout"))},u);this.opts.autoUnref&&h.unref(),this.subs.push(function(){clearTimeout(h)})}return this.subs.push(o),this.subs.push(c),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(Nl(t,"ping",this.onping.bind(this)),Nl(t,"data",this.ondata.bind(this)),Nl(t,"error",this.onerror.bind(this)),Nl(t,"close",this.onclose.bind(this)),Nl(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch{this.onclose("parse error")}}ondecoded(t){this.emitReserved("packet",t)}onerror(t){this.emitReserved("error",t)}socket(t,r){let i=this.nsps[t];return i||(i=new ZF(this,t,r),this.nsps[t]=i),i}_destroy(t){const r=Object.keys(this.nsps);for(const i of r)if(this.nsps[i].active)return;this._close()}_packet(t){const r=this.encoder.encode(t);for(let i=0;i<r.length;i++)this.engine.write(r[i],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,r){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,r),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const r=this.backoff.duration();this._reconnecting=!0;const i=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(o=>{o?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",o)):t.onreconnect()}))},r);this.opts.autoUnref&&i.unref(),this.subs.push(function(){clearTimeout(i)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const P0={};function qx(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const r=Pde(e,t.path||"/socket.io"),i=r.source,o=r.id,c=r.path,u=P0[o]&&c in P0[o].nsps,h=t.forceNew||t["force new connection"]||t.multiplex===!1||u;let m;return h?m=new cA(i,t):(P0[o]||(P0[o]=new cA(i,t)),m=P0[o]),r.query&&!t.query&&(t.query=r.queryKey),m.socket(r.path,t)}Object.assign(qx,{Manager:cA,Socket:ZF,io:qx,connect:qx});let Nx;const Gde=new Uint8Array(16);function Yde(){if(!Nx&&(Nx=typeof crypto<"u"&&crypto.getRandomValues&&crypto.getRandomValues.bind(crypto),!Nx))throw new Error("crypto.getRandomValues() not supported. See https://github.com/uuidjs/uuid#getrandomvalues-not-supported");return Nx(Gde)}const ui=[];for(let e=0;e<256;++e)ui.push((e+256).toString(16).slice(1));function qde(e,t=0){return(ui[e[t+0]]+ui[e[t+1]]+ui[e[t+2]]+ui[e[t+3]]+"-"+ui[e[t+4]]+ui[e[t+5]]+"-"+ui[e[t+6]]+ui[e[t+7]]+"-"+ui[e[t+8]]+ui[e[t+9]]+"-"+ui[e[t+10]]+ui[e[t+11]]+ui[e[t+12]]+ui[e[t+13]]+ui[e[t+14]]+ui[e[t+15]]).toLowerCase()}const Kde=typeof crypto<"u"&&crypto.randomUUID&&crypto.randomUUID.bind(crypto),iL={randomUUID:Kde};function L0(e,t,r){if(iL.randomUUID&&!t&&!e)return iL.randomUUID();e=e||{};const i=e.random||(e.rng||Yde)();if(i[6]=i[6]&15|64,i[8]=i[8]&63|128,t){r=r||0;for(let o=0;o<16;++o)t[r+o]=i[o];return t}return qde(i)}var Zde=/d{1,4}|D{3,4}|m{1,4}|yy(?:yy)?|([HhMsTt])\1?|W{1,2}|[LlopSZN]|"[^"]*"|'[^']*'/g,Xde=/\b(?:[A-Z]{1,3}[A-Z][TC])(?:[-+]\d{4})?|((?:Australian )?(?:Pacific|Mountain|Central|Eastern|Atlantic) (?:Standard|Daylight|Prevailing) Time)\b/g,Qde=/[^-+\dA-Z]/g;function eo(e,t,r,i){if(arguments.length===1&&typeof e=="string"&&!/\d/.test(e)&&(t=e,e=void 0),e=e||e===0?e:new Date,e instanceof Date||(e=new Date(e)),isNaN(e))throw TypeError("Invalid date");t=String(oL[t]||t||oL.default);var o=t.slice(0,4);(o==="UTC:"||o==="GMT:")&&(t=t.slice(4),r=!0,o==="GMT:"&&(i=!0));var c=function(){return r?"getUTC":"get"},u=function(){return e[c()+"Date"]()},h=function(){return e[c()+"Day"]()},m=function(){return e[c()+"Month"]()},v=function(){return e[c()+"FullYear"]()},S=function(){return e[c()+"Hours"]()},x=function(){return e[c()+"Minutes"]()},w=function(){return e[c()+"Seconds"]()},_=function(){return e[c()+"Milliseconds"]()},R=function(){return r?0:e.getTimezoneOffset()},k=function(){return Jde(e)},P=function(){return epe(e)},U={d:function(){return u()},dd:function(){return Zo(u())},ddd:function(){return yo.dayNames[h()]},DDD:function(){return sL({y:v(),m:m(),d:u(),_:c(),dayName:yo.dayNames[h()],short:!0})},dddd:function(){return yo.dayNames[h()+7]},DDDD:function(){return sL({y:v(),m:m(),d:u(),_:c(),dayName:yo.dayNames[h()+7]})},m:function(){return m()+1},mm:function(){return Zo(m()+1)},mmm:function(){return yo.monthNames[m()]},mmmm:function(){return yo.monthNames[m()+12]},yy:function(){return String(v()).slice(2)},yyyy:function(){return Zo(v(),4)},h:function(){return S()%12||12},hh:function(){return Zo(S()%12||12)},H:function(){return S()},HH:function(){return Zo(S())},M:function(){return x()},MM:function(){return Zo(x())},s:function(){return w()},ss:function(){return Zo(w())},l:function(){return Zo(_(),3)},L:function(){return Zo(Math.floor(_()/10))},t:function(){return S()<12?yo.timeNames[0]:yo.timeNames[1]},tt:function(){return S()<12?yo.timeNames[2]:yo.timeNames[3]},T:function(){return S()<12?yo.timeNames[4]:yo.timeNames[5]},TT:function(){return S()<12?yo.timeNames[6]:yo.timeNames[7]},Z:function(){return i?"GMT":r?"UTC":tpe(e)},o:function(){return(R()>0?"-":"+")+Zo(Math.floor(Math.abs(R())/60)*100+Math.abs(R())%60,4)},p:function(){return(R()>0?"-":"+")+Zo(Math.floor(Math.abs(R())/60),2)+":"+Zo(Math.floor(Math.abs(R())%60),2)},S:function(){return["th","st","nd","rd"][u()%10>3?0:(u()%100-u()%10!=10)*u()%10]},W:function(){return k()},WW:function(){return Zo(k())},N:function(){return P()}};return t.replace(Zde,function(L){return L in U?U[L]():L.slice(1,L.length-1)})}var oL={default:"ddd mmm dd yyyy HH:MM:ss",shortDate:"m/d/yy",paddedShortDate:"mm/dd/yyyy",mediumDate:"mmm d, yyyy",longDate:"mmmm d, yyyy",fullDate:"dddd, mmmm d, yyyy",shortTime:"h:MM TT",mediumTime:"h:MM:ss TT",longTime:"h:MM:ss TT Z",isoDate:"yyyy-mm-dd",isoTime:"HH:MM:ss",isoDateTime:"yyyy-mm-dd'T'HH:MM:sso",isoUtcDateTime:"UTC:yyyy-mm-dd'T'HH:MM:ss'Z'",expiresHeaderFormat:"ddd, dd mmm yyyy HH:MM:ss 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0),E(An,{cursor:"pointer",position:"absolute",top:0,left:0,rounded:"md",width:"100%",height:"100%",alignItems:"center",justifyContent:"center",background:m?u:void 0,onClick:()=>i(Gfe(h)),onMouseOver:w,onMouseOut:_,children:[m&&E(kl,{fill:o,width:"50%",height:"50%",as:Cpe},void 0,!1,{fileName:Qi,lineNumber:90,columnNumber:11},void 0),t&&E(An,{direction:"column",gap:1,position:"absolute",top:1,right:1,children:[E(Gf,{label:"Delete image",children:E(sz,{image:h,children:E(Co,{colorScheme:"red","aria-label":"Delete image",icon:E(Ape,{},void 0,!1,{fileName:Qi,lineNumber:105,columnNumber:25},void 0),size:"xs",variant:"imageHoverIconButton",fontSize:14},void 0,!1,{fileName:Qi,lineNumber:102,columnNumber:17},void 0)},void 0,!1,{fileName:Qi,lineNumber:101,columnNumber:15},void 0)},void 0,!1,{fileName:Qi,lineNumber:100,columnNumber:13},void 0),["txt2img","img2img"].includes(h.metadata.image.type)&&E(Gf,{label:"Use all parameters",children:E(Co,{"aria-label":"Use all parameters",icon:E(iz,{},void 0,!1,{fileName:Qi,lineNumber:116,columnNumber:25},void 0),size:"xs",fontSize:18,variant:"imageHoverIconButton",onClickCapture:R},void 0,!1,{fileName:Qi,lineNumber:114,columnNumber:17},void 0)},void 0,!1,{fileName:Qi,lineNumber:113,columnNumber:15},void 0),h.metadata.image.seed&&E(Gf,{label:"Use seed",children:E(Co,{"aria-label":"Use seed",icon:E(Tpe,{},void 0,!1,{fileName:Qi,lineNumber:128,columnNumber:25},void 0),size:"xs",fontSize:16,variant:"imageHoverIconButton",onClickCapture:k},void 0,!1,{fileName:Qi,lineNumber:126,columnNumber:17},void 0)},void 0,!1,{fileName:Qi,lineNumber:125,columnNumber:15},void 0)]},void 0,!0,{fileName:Qi,lineNumber:93,columnNumber:11},void 0)]},void 0,!0,{fileName:Qi,lineNumber:74,columnNumber:7},void 0)]},S,!0,{fileName:Qi,lineNumber:64,columnNumber:5},void 0)},Gpe);var Ex="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/gallery/ImageGallery.tsx";const qpe=()=>{const{images:e,currentImageUuid:t}=yr(r=>r.gallery);return e.length?E(An,{gap:2,wrap:"wrap",pb:2,children:[...e].reverse().map(r=>{const{uuid:i}=r;return E(Ype,{image:r,isSelected:t===i},i,!1,{fileName:Ex,lineNumber:28,columnNumber:11},void 0)})},void 0,!1,{fileName:Ex,lineNumber:23,columnNumber:5},void 0):E(yy,{height:"100%",position:"relative",children:E(Hr,{size:"xl",children:"No images in gallery"},void 0,!1,{fileName:Ex,lineNumber:34,columnNumber:7},void 0)},void 0,!1,{fileName:Ex,lineNumber:33,columnNumber:5},void 0)};var Kpe="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/system/ProgressBar.tsx";const Zpe=Yr(e=>e.system,e=>({isProcessing:e.isProcessing,currentStep:e.currentStep,totalSteps:e.totalSteps,currentStatusHasSteps:e.currentStatusHasSteps}),{memoizeOptions:{resultEqualityCheck:Wr.exports.isEqual}}),Xpe=()=>{const{isProcessing:e,currentStep:t,totalSteps:r,currentStatusHasSteps:i}=yr(Zpe),o=t?Math.round(t*100/r):0;return E(C8,{height:"10px",value:o,isIndeterminate:e&&!i},void 0,!1,{fileName:Kpe,lineNumber:30,columnNumber:5},void 0)};function Qpe(e){return ao({tag:"svg",attr:{viewBox:"0 0 24 24"},child:[{tag:"path",attr:{fill:"none",d:"M0 0h24v24H0z"}},{tag:"path",attr:{d:"M12 2C6.48 2 2 6.48 2 12s4.48 10 10 10 10-4.48 10-10S17.52 2 12 2zm1 17h-2v-2h2v2zm2.07-7.75l-.9.92C13.45 12.9 13 13.5 13 15h-2v-.5c0-1.1.45-2.1 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41 0-1.1-.9-2-2-2s-2 .9-2 2H8c0-2.21 1.79-4 4-4s4 1.79 4 4c0 .88-.36 1.68-.93 2.25z"}}]})(e)}function Jpe(e){return ao({tag:"svg",attr:{viewBox:"0 0 24 24"},child:[{tag:"path",attr:{fill:"none",d:"M0 0h24v24H0V0z"}},{tag:"path",attr:{d:"M19.14 12.94c.04-.3.06-.61.06-.94 0-.32-.02-.64-.07-.94l2.03-1.58a.49.49 0 00.12-.61l-1.92-3.32a.488.488 0 00-.59-.22l-2.39.96c-.5-.38-1.03-.7-1.62-.94l-.36-2.54a.484.484 0 00-.48-.41h-3.84c-.24 0-.43.17-.47.41l-.36 2.54c-.59.24-1.13.57-1.62.94l-2.39-.96c-.22-.08-.47 0-.59.22L2.74 8.87c-.12.21-.08.47.12.61l2.03 1.58c-.05.3-.09.63-.09.94s.02.64.07.94l-2.03 1.58a.49.49 0 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0,!1,{fileName:gr,lineNumber:108,columnNumber:15},void 0),E(bk,{size:"md",children:"Reset Web UI"},void 0,!1,{fileName:gr,lineNumber:120,columnNumber:15},void 0),E(Hr,{children:"Resetting the web UI only resets the browser's local cache of your images and remembered settings. 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0,!1,{fileName:Di,lineNumber:87,columnNumber:11},void 0)},void 0,!1,{fileName:Di,lineNumber:81,columnNumber:7},void 0),E(Co,{"aria-label":"Link to Github Repo",variant:"link",fontSize:20,size:"sm",icon:E(by,{isExternal:!0,href:"http://github.com/lstein/stable-diffusion",children:E(Spe,{},void 0,!1,{fileName:Di,lineNumber:103,columnNumber:13},void 0)},void 0,!1,{fileName:Di,lineNumber:102,columnNumber:11},void 0)},void 0,!1,{fileName:Di,lineNumber:96,columnNumber:7},void 0),E(Co,{"aria-label":"Toggle Dark Mode",onClick:t,variant:"link",size:"sm",fontSize:v,icon:m},void 0,!1,{fileName:Di,lineNumber:108,columnNumber:7},void 0)]},void 0,!0,{fileName:Di,lineNumber:64,columnNumber:5},void 0)};var dc="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/common/components/SDNumberInput.tsx";const qf=e=>{const{label:t,isDisabled:r=!1,fontSize:i="md",size:o="sm",width:c,isInvalid:u,...h}=e;return E(Xf,{isDisabled:r,width:c,isInvalid:u,children:E(An,{gap:2,justifyContent:"space-between",alignItems:"center",children:[t&&E(Qf,{marginBottom:1,children:E(Hr,{fontSize:i,whiteSpace:"nowrap",children:t},void 0,!1,{fileName:dc,lineNumber:37,columnNumber:13},void 0)},void 0,!1,{fileName:dc,lineNumber:36,columnNumber:11},void 0),E(v8,{size:o,...h,keepWithinRange:!1,clampValueOnBlur:!0,children:[E(y8,{fontSize:"md"},void 0,!1,{fileName:dc,lineNumber:48,columnNumber:11},void 0),E(g8,{children:[E(x8,{},void 0,!1,{fileName:dc,lineNumber:50,columnNumber:13},void 0),E(S8,{},void 0,!1,{fileName:dc,lineNumber:51,columnNumber:13},void 0)]},void 0,!0,{fileName:dc,lineNumber:49,columnNumber:11},void 0)]},void 0,!0,{fileName:dc,lineNumber:42,columnNumber:9},void 0)]},void 0,!0,{fileName:dc,lineNumber:34,columnNumber:7},void 0)},void 0,!1,{fileName:dc,lineNumber:33,columnNumber:5},void 0)};var Tx="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/common/components/SDSwitch.tsx";const 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diff --git a/frontend/dist/assets/index.de730902.js b/frontend/dist/assets/index.de730902.js
deleted file mode 100644
index 65e9056ec2..0000000000
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u=this.measure(),h=this.removeTransform(this.removeElementScroll(u));qL(h),this.snapshot={measured:u,layout:h,latestValues:{}}}updateLayout(){var u;if(!this.instance||(this.updateScroll(),!(this.options.alwaysMeasureLayout&&this.isLead())&&!this.isLayoutDirty))return;if(this.resumeFrom&&!this.resumeFrom.instance)for(let v=0;v<this.path.length;v++)this.path[v].updateScroll();const h=this.measure();qL(h);const m=this.layout;this.layout={measured:h,actual:this.removeElementScroll(h)},this.layoutCorrected=si(),this.isLayoutDirty=!1,this.projectionDelta=void 0,this.notifyListeners("measure",this.layout.actual),(u=this.options.visualElement)===null||u===void 0||u.notifyLayoutMeasure(this.layout.actual,m?.actual)}updateScroll(){this.options.layoutScroll&&this.instance&&(this.isScrollRoot=i(this.instance),this.scroll=r(this.instance))}resetTransform(){var u;if(!o)return;const 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S=this.path[v];!h&&S.options.layoutScroll&&S.scroll&&S!==S.root&&Im(m,{x:-S.scroll.x,y:-S.scroll.y}),Tf(S.latestValues)&&Im(m,S.latestValues)}return Tf(this.latestValues)&&Im(m,this.latestValues),m}removeTransform(u){var h;const m=si();gl(m,u);for(let v=0;v<this.path.length;v++){const S=this.path[v];if(!S.instance||!Tf(S.latestValues))continue;az(S.latestValues)&&S.updateSnapshot();const x=si(),C=S.measure();gl(x,C),zL(m,S.latestValues,(h=S.snapshot)===null||h===void 0?void 0:h.layout,x)}return Tf(this.latestValues)&&zL(m,this.latestValues),m}setTargetDelta(u){this.targetDelta=u,this.root.scheduleUpdateProjection()}setOptions(u){this.options={...this.options,...u,crossfade:u.crossfade!==void 0?u.crossfade:!0}}clearMeasurements(){this.scroll=void 0,this.layout=void 0,this.snapshot=void 0,this.prevTransformTemplateValue=void 0,this.targetDelta=void 0,this.target=void 0,this.isLayoutDirty=!1}resolveTargetDelta(){var u;const{layout:h,layoutId:m}=this.options;!this.layout||!(h||m)||(!this.targetDelta&&!this.relativeTarget&&(this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&this.relativeParent.layout&&(this.relativeTarget=si(),this.relativeTargetOrigin=si(),Hy(this.relativeTargetOrigin,this.layout.actual,this.relativeParent.layout.actual),gl(this.relativeTarget,this.relativeTargetOrigin))),!(!this.relativeTarget&&!this.targetDelta)&&(this.target||(this.target=si(),this.targetWithTransforms=si()),this.relativeTarget&&this.relativeTargetOrigin&&((u=this.relativeParent)===null||u===void 0?void 0:u.target)?Nq(this.target,this.relativeTarget,this.relativeParent.target):this.targetDelta?(Boolean(this.resumingFrom)?this.target=this.applyTransform(this.layout.actual):gl(this.target,this.layout.actual),iz(this.target,this.targetDelta)):gl(this.target,this.layout.actual),this.attemptToResolveRelativeTarget&&(this.attemptToResolveRelativeTarget=!1,this.relativeParent=this.getClosestProjectingParent(),this.relativeParent&&Boolean(this.relativeParent.resumingFrom)===Boolean(this.resumingFrom)&&!this.relativeParent.options.layoutScroll&&this.relativeParent.target&&(this.relativeTarget=si(),this.relativeTargetOrigin=si(),Hy(this.relativeTargetOrigin,this.target,this.relativeParent.target),gl(this.relativeTarget,this.relativeTargetOrigin)))))}getClosestProjectingParent(){if(!(!this.parent||Tf(this.parent.latestValues)))return(this.parent.relativeTarget||this.parent.targetDelta)&&this.parent.layout?this.parent:this.parent.getClosestProjectingParent()}calcProjection(){var u;const{layout:h,layoutId:m}=this.options;if(this.isTreeAnimating=Boolean(((u=this.parent)===null||u===void 0?void 0:u.isTreeAnimating)||this.currentAnimation||this.pendingAnimation),this.isTreeAnimating||(this.targetDelta=this.relativeTarget=void 0),!this.layout||!(h||m))return;const v=this.getLead();gl(this.layoutCorrected,this.layout.actual),Lq(this.layoutCorrected,this.treeScale,this.path,Boolean(this.resumingFrom)||this!==v);const{target:S}=v;if(!S)return;this.projectionDelta||(this.projectionDelta=Wy(),this.projectionDeltaWithTransform=Wy());const x=this.treeScale.x,C=this.treeScale.y,_=this.projectionTransform;Vy(this.projectionDelta,this.layoutCorrected,S,this.latestValues),this.projectionTransform=jL(this.projectionDelta,this.treeScale),(this.projectionTransform!==_||this.treeScale.x!==x||this.treeScale.y!==C)&&(this.hasProjected=!0,this.scheduleRender(),this.notifyListeners("projectionUpdate",S))}hide(){this.isVisible=!1}show(){this.isVisible=!0}scheduleRender(u=!0){var h,m,v;(m=(h=this.options).scheduleRender)===null||m===void 0||m.call(h),u&&((v=this.getStack())===null||v===void 0||v.scheduleRender()),this.resumingFrom&&!this.resumingFrom.instance&&(this.resumingFrom=void 0)}setAnimationOrigin(u,h=!1){var m;const v=this.snapshot,S=v?.latestValues||{},x={...this.latestValues},C=Wy();this.relativeTarget=this.relativeTargetOrigin=void 0,this.attemptToResolveRelativeTarget=!h;const _=si(),N=v?.isShared,O=(((m=this.getStack())===null||m===void 0?void 0:m.members.length)||0)<=1,I=Boolean(N&&!O&&this.options.crossfade===!0&&!this.path.some($K));this.animationProgress=0,this.mixTargetDelta=V=>{var M;const z=V/1e3;WL(C.x,u.x,z),WL(C.y,u.y,z),this.setTargetDelta(C),this.relativeTarget&&this.relativeTargetOrigin&&this.layout&&((M=this.relativeParent)===null||M===void 0?void 0:M.layout)&&(Hy(_,this.layout.actual,this.relativeParent.layout.actual),jK(this.relativeTarget,this.relativeTargetOrigin,_,z)),N&&(this.animationValues=x,xK(x,S,this.latestValues,z,I,O)),this.root.scheduleUpdateProjection(),this.scheduleRender(),this.animationProgress=z},this.mixTargetDelta(0)}startAnimation(u){var h,m;this.notifyListeners("animationStart"),(h=this.currentAnimation)===null||h===void 0||h.stop(),this.resumingFrom&&((m=this.resumingFrom.currentAnimation)===null||m===void 0||m.stop()),this.pendingAnimation&&(fb.update(this.pendingAnimation),this.pendingAnimation=void 0),this.pendingAnimation=fu.update(()=>{By.hasAnimatedSinceResize=!0,this.currentAnimation=bK(0,VL,{...u,onUpdate:v=>{var S;this.mixTargetDelta(v),(S=u.onUpdate)===null||S===void 0||S.call(u,v)},onComplete:()=>{var v;(v=u.onComplete)===null||v===void 0||v.call(u),this.completeAnimation()}}),this.resumingFrom&&(this.resumingFrom.currentAnimation=this.currentAnimation),this.pendingAnimation=void 0})}completeAnimation(){var u;this.resumingFrom&&(this.resumingFrom.currentAnimation=void 0,this.resumingFrom.preserveOpacity=void 0),(u=this.getStack())===null||u===void 0||u.exitAnimationComplete(),this.resumingFrom=this.currentAnimation=this.animationValues=void 0,this.notifyListeners("animationComplete")}finishAnimation(){var u;this.currentAnimation&&((u=this.mixTargetDelta)===null||u===void 0||u.call(this,VL),this.currentAnimation.stop()),this.completeAnimation()}applyTransformsToTarget(){const u=this.getLead();let{targetWithTransforms:h,target:m,layout:v,latestValues:S}=u;if(!(!h||!m||!v)){if(this!==u&&this.layout&&v&&Sz(this.options.animationType,this.layout.actual,v.actual)){m=this.target||si();const x=qo(this.layout.actual.x);m.x.min=u.target.x.min,m.x.max=m.x.min+x;const C=qo(this.layout.actual.y);m.y.min=u.target.y.min,m.y.max=m.y.min+C}gl(h,m),Im(h,S),Vy(this.projectionDeltaWithTransform,this.layoutCorrected,h,S)}}registerSharedNode(u,h){var m,v,S;this.sharedNodes.has(u)||this.sharedNodes.set(u,new RK),this.sharedNodes.get(u).add(h),h.promote({transition:(m=h.options.initialPromotionConfig)===null||m===void 0?void 0:m.transition,preserveFollowOpacity:(S=(v=h.options.initialPromotionConfig)===null||v===void 0?void 0:v.shouldPreserveFollowOpacity)===null||S===void 0?void 0:S.call(v,h)})}isLead(){const u=this.getStack();return u?u.lead===this:!0}getLead(){var u;const{layoutId:h}=this.options;return h?((u=this.getStack())===null||u===void 0?void 0:u.lead)||this:this}getPrevLead(){var u;const{layoutId:h}=this.options;return h?(u=this.getStack())===null||u===void 0?void 0:u.prevLead:void 0}getStack(){const{layoutId:u}=this.options;if(u)return this.root.sharedNodes.get(u)}promote({needsReset:u,transition:h,preserveFollowOpacity:m}={}){const v=this.getStack();v&&v.promote(this,m),u&&(this.projectionDelta=void 0,this.needsReset=!0),h&&this.setOptions({transition:h})}relegate(){const u=this.getStack();return u?u.relegate(this):!1}resetRotation(){const{visualElement:u}=this.options;if(!u)return;let h=!1;const m={};for(let v=0;v<$L.length;v++){const S=$L[v],x="rotate"+S;!u.getStaticValue(x)||(h=!0,m[x]=u.getStaticValue(x),u.setStaticValue(x,0))}if(!!h){u?.syncRender();for(const v in m)u.setStaticValue(v,m[v]);u.scheduleRender()}}getProjectionStyles(u={}){var h,m,v;const S={};if(!this.instance||this.isSVG)return S;if(this.isVisible)S.visibility="";else return{visibility:"hidden"};const x=(h=this.options.visualElement)===null||h===void 0?void 0:h.getProps().transformTemplate;if(this.needsReset)return this.needsReset=!1,S.opacity="",S.pointerEvents=Ax(u.pointerEvents)||"",S.transform=x?x(this.latestValues,""):"none",S;const C=this.getLead();if(!this.projectionDelta||!this.layout||!C.target){const I={};return this.options.layoutId&&(I.opacity=this.latestValues.opacity!==void 0?this.latestValues.opacity:1,I.pointerEvents=Ax(u.pointerEvents)||""),this.hasProjected&&!Tf(this.latestValues)&&(I.transform=x?x({},""):"none",this.hasProjected=!1),I}const _=C.animationValues||C.latestValues;this.applyTransformsToTarget(),S.transform=jL(this.projectionDeltaWithTransform,this.treeScale,_),x&&(S.transform=x(_,S.transform));const{x:N,y:O}=this.projectionDelta;S.transformOrigin=`${N.origin*100}% ${O.origin*100}% 0`,C.animationValues?S.opacity=C===this?(v=(m=_.opacity)!==null&&m!==void 0?m:this.latestValues.opacity)!==null&&v!==void 0?v:1:this.preserveOpacity?this.latestValues.opacity:_.opacityExit:S.opacity=C===this?_.opacity!==void 0?_.opacity:"":_.opacityExit!==void 0?_.opacityExit:0;for(const I in Qx){if(_[I]===void 0)continue;const{correct:V,applyTo:M}=Qx[I],z=V(_[I],C);if(M){const B=M.length;for(let j=0;j<B;j++)S[M[j]]=z}else S[I]=z}return this.options.layoutId&&(S.pointerEvents=C===this?Ax(u.pointerEvents)||"":"none"),S}clearSnapshot(){this.resumeFrom=this.snapshot=void 0}resetTree(){this.root.nodes.forEach(u=>{var h;return(h=u.currentAnimation)===null||h===void 0?void 0:h.stop()}),this.root.nodes.forEach(HL),this.root.sharedNodes.clear()}}}function DK(e){e.updateLayout()}function PK(e){var t,r,i;const o=((t=e.resumeFrom)===null||t===void 0?void 0:t.snapshot)||e.snapshot;if(e.isLead()&&e.layout&&o&&e.hasListeners("didUpdate")){const{actual:c,measured:u}=e.layout,{animationType:h}=e.options;h==="size"?tu(C=>{const _=o.isShared?o.measured[C]:o.layout[C],N=qo(_);_.min=c[C].min,_.max=_.min+N}):Sz(h,o.layout,c)&&tu(C=>{const _=o.isShared?o.measured[C]:o.layout[C],N=qo(c[C]);_.max=_.min+N});const m=Wy();Vy(m,c,o.layout);const v=Wy();o.isShared?Vy(v,e.applyTransform(u,!0),o.measured):Vy(v,c,o.layout);const S=!gz(m);let x=!1;if(!e.resumeFrom&&(e.relativeParent=e.getClosestProjectingParent(),e.relativeParent&&!e.relativeParent.resumeFrom)){const{snapshot:C,layout:_}=e.relativeParent;if(C&&_){const N=si();Hy(N,o.layout,C.layout);const O=si();Hy(O,c,_.actual),yz(N,O)||(x=!0)}}e.notifyListeners("didUpdate",{layout:c,snapshot:o,delta:v,layoutDelta:m,hasLayoutChanged:S,hasRelativeTargetChanged:x})}else e.isLead()&&((i=(r=e.options).onExitComplete)===null||i===void 0||i.call(r));e.options.transition=void 0}function MK(e){e.clearSnapshot()}function HL(e){e.clearMeasurements()}function IK(e){const{visualElement:t}=e.options;t?.getProps().onBeforeLayoutMeasure&&t.notifyBeforeLayoutMeasure(),e.resetTransform()}function LK(e){e.finishAnimation(),e.targetDelta=e.relativeTarget=e.target=void 0}function FK(e){e.resolveTargetDelta()}function zK(e){e.calcProjection()}function BK(e){e.resetRotation()}function UK(e){e.removeLeadSnapshot()}function WL(e,t,r){e.translate=jr(t.translate,0,r),e.scale=jr(t.scale,1,r),e.origin=t.origin,e.originPoint=t.originPoint}function GL(e,t,r,i){e.min=jr(t.min,r.min,i),e.max=jr(t.max,r.max,i)}function jK(e,t,r,i){GL(e.x,t.x,r.x,i),GL(e.y,t.y,r.y,i)}function $K(e){return e.animationValues&&e.animationValues.opacityExit!==void 0}const VK={duration:.45,ease:[.4,0,.1,1]};function HK(e,t){let r=e.root;for(let c=e.path.length-1;c>=0;c--)if(Boolean(e.path[c].instance)){r=e.path[c];break}const o=(r&&r!==e.root?r.instance:document).querySelector(`[data-projection-id="${t}"]`);o&&e.mount(o,!0)}function YL(e){e.min=Math.round(e.min),e.max=Math.round(e.max)}function qL(e){YL(e.x),YL(e.y)}function Sz(e,t,r){return e==="position"||e==="preserve-aspect"&&!NK(UL(t),UL(r))}const WK=bz({attachResizeListener:(e,t)=>Yw(e,"resize",t),measureScroll:()=>({x:document.documentElement.scrollLeft||document.body.scrollLeft,y:document.documentElement.scrollTop||document.body.scrollTop}),checkIsScrollRoot:()=>!0}),JR={current:void 0},GK=bz({measureScroll:e=>({x:e.scrollLeft,y:e.scrollTop}),defaultParent:()=>{if(!JR.current){const e=new WK(0,{});e.mount(window),e.setOptions({layoutScroll:!0}),JR.current=e}return JR.current},resetTransform:(e,t)=>{e.style.transform=t!==void 0?t:"none"},checkIsScrollRoot:e=>Boolean(window.getComputedStyle(e).position==="fixed")}),YK={..._q,...IY,...Wq,...yK},Nl=EW((e,t)=>cG(e,t,YK,dK,GK));function xz(){const e=D.exports.useRef(!1);return Zx(()=>(e.current=!0,()=>{e.current=!1}),[]),e}function qK(){const e=xz(),[t,r]=D.exports.useState(0),i=D.exports.useCallback(()=>{e.current&&r(t+1)},[t]);return[D.exports.useCallback(()=>fu.postRender(i),[i]),t]}var KK="/Users/spencer/Documents/Code/stable-diffusion/frontend/node_modules/framer-motion/dist/es/components/AnimatePresence/PopChild.mjs";class XK extends D.exports.Component{getSnapshotBeforeUpdate(t){const r=this.props.childRef.current;if(r&&t.isPresent&&!this.props.isPresent){const i=this.props.sizeRef.current;i.height=r.offsetHeight||0,i.width=r.offsetWidth||0,i.top=r.offsetTop,i.left=r.offsetLeft}return null}componentDidUpdate(){}render(){return this.props.children}}function ZK({children:e,isPresent:t}){const r=D.exports.useId(),i=D.exports.useRef(null),o=D.exports.useRef({width:0,height:0,top:0,left:0});return D.exports.useInsertionEffect(()=>{const{width:c,height:u,top:h,left:m}=o.current;if(t||!i.current||!c||!u)return;i.current.dataset.motionPopId=r;const v=document.createElement("style");return document.head.appendChild(v),v.sheet&&v.sheet.insertRule(`
-          [data-motion-pop-id="${r}"] {
-            position: absolute !important;
-            width: ${c}px !important;
-            height: ${u}px !important;
-            top: ${h}px !important;
-            left: ${m}px !important;
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Ye.concat(_l(st)===lC?JQ(t,{placement:st,boundary:S,rootBoundary:x,padding:v,flipVariations:N,allowedAutoPlacements:O}):st)},[]),j=t.rects.reference,K=t.rects.popper,X=new Map,fe=!0,me=B[0],se=0;se<B.length;se++){var be=B[se],Ke=_l(be),J=Jm(be)===Xm,ce=[go,Ls].indexOf(Ke)>=0,Re=ce?"width":"height",Ce=mb(t,{placement:be,boundary:S,rootBoundary:x,altBoundary:C,padding:v}),oe=ce?J?Fs:yo:J?Ls:go;j[Re]>K[Re]&&(oe=Dx(oe));var Se=Dx(oe),Te=[];if(c&&Te.push(Ce[Ke]<=0),h&&Te.push(Ce[oe]<=0,Ce[Se]<=0),Te.every(function(Ye){return Ye})){me=be,fe=!1;break}X.set(be,Te)}if(fe)for(var pe=N?3:1,we=function(st){var mt=B.find(function(Gt){var Qe=X.get(Gt);if(Qe)return Qe.slice(0,st).every(function(vt){return vt})});if(mt)return me=mt,"break"},Ie=pe;Ie>0;Ie--){var Le=we(Ie);if(Le==="break")break}t.placement!==me&&(t.modifiersData[i]._skip=!0,t.placement=me,t.reset=!0)}}const nJ={name:"flip",enabled:!0,phase:"main",fn:tJ,requiresIfExists:["offset"],data:{_skip:!1}};function g5(e,t,r){return r===void 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J,ce=B==="y"?go:yo,Re=B==="y"?Ls:Fs,Ce=B==="y"?"height":"width",oe=K[B],Se=oe+I[ce],Te=oe-I[Re],pe=_?-fe[Ce]/2:0,we=M===Xm?X[Ce]:fe[Ce],Ie=M===Xm?-fe[Ce]:-X[Ce],Le=t.elements.arrow,Ye=_&&Le?p2(Le):{width:0,height:0},st=t.modifiersData["arrow#persistent"]?t.modifiersData["arrow#persistent"].padding:uB(),mt=st[ce],Gt=st[Re],Qe=Gy(0,X[Ce],Ye[Ce]),vt=z?X[Ce]/2-pe-Qe-mt-se.mainAxis:we-Qe-mt-se.mainAxis,Et=z?-X[Ce]/2+pe+Qe+Gt+se.mainAxis:Ie+Qe+Gt+se.mainAxis,zt=t.elements.arrow&&zb(t.elements.arrow),We=zt?B==="y"?zt.clientTop||0:zt.clientLeft||0:0,Yt=(J=be?.[B])!=null?J:0,ye=oe+vt-Yt-We,Mt=oe+Et-Yt,Kt=Gy(_?dw(Se,ye):Se,oe,_?zp(Te,Mt):Te);K[B]=Kt,Ke[B]=Kt-oe}if(h){var St,ar=B==="x"?go:yo,ir=B==="x"?Ls:Fs,Bt=K[j],fn=j==="y"?"height":"width",kn=Bt+I[ar],hn=Bt-I[ir],Ve=[go,yo].indexOf(V)!==-1,Ze=(St=be?.[j])!=null?St:0,Jt=Ve?kn:Bt-X[fn]-fe[fn]-Ze+se.altAxis,Tt=Ve?Bt+X[fn]+fe[fn]-Ze-se.altAxis:hn,ke=_&&Ve?IQ(Jt,Bt,Tt):Gy(_?Jt:kn,Bt,_?Tt:hn);K[j]=ke,Ke[j]=ke-Bt}t.modifiersData[i]=Ke}}const dJ={name:"preventOverflow",enabled:!0,phase:"main",fn:fJ,requiresIfExists:["offset"]};function pJ(e){return{scrollLeft:e.scrollLeft,scrollTop:e.scrollTop}}function hJ(e){return e===zs(e)||!Yo(e)?m2(e):pJ(e)}function mJ(e){var t=e.getBoundingClientRect(),r=Zm(t.width)/e.offsetWidth||1,i=Zm(t.height)/e.offsetHeight||1;return r!==1||i!==1}function vJ(e,t,r){r===void 0&&(r=!1);var i=Yo(t),o=Yo(t)&&mJ(t),c=Zf(t),u=Qm(e,o,r),h={scrollLeft:0,scrollTop:0},m={x:0,y:0};return(i||!i&&!r)&&((gu(t)!=="body"||g2(c))&&(h=hJ(t)),Yo(t)?(m=Qm(t,!0),m.x+=t.clientLeft,m.y+=t.clientTop):c&&(m.x=v2(c))),{x:u.left+h.scrollLeft-m.x,y:u.top+h.scrollTop-m.y,width:u.width,height:u.height}}function gJ(e){var t=new Map,r=new Set,i=[];e.forEach(function(c){t.set(c.name,c)});function o(c){r.add(c.name);var u=[].concat(c.requires||[],c.requiresIfExists||[]);u.forEach(function(h){if(!r.has(h)){var m=t.get(h);m&&o(m)}}),i.push(c)}return e.forEach(function(c){r.has(c.name)||o(c)}),i}function yJ(e){var t=gJ(e);return 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M2(e){const{focusBorderColor:t,errorBorderColor:r}=e;return{focusBorderColor:t||ze("blue.500","blue.300")(e),errorBorderColor:r||ze("red.500","red.300")(e)}}var Bie=dc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=M2(e);return{field:{border:"1px solid",borderColor:"inherit",bg:"inherit",_hover:{borderColor:ze("gray.300","whiteAlpha.400")(e)},_readOnly:{boxShadow:"none !important",userSelect:"all"},_invalid:{borderColor:Aa(t,i),boxShadow:`0 0 0 1px ${Aa(t,i)}`},_focusVisible:{zIndex:1,borderColor:Aa(t,r),boxShadow:`0 0 0 1px ${Aa(t,r)}`}},addon:{border:"1px solid",borderColor:ze("inherit","whiteAlpha.50")(e),bg:ze("gray.100","whiteAlpha.300")(e)}}}),Uie=dc(e=>{const{theme:t}=e,{focusBorderColor:r,errorBorderColor:i}=M2(e);return{field:{border:"2px solid",borderColor:"transparent",bg:ze("gray.100","whiteAlpha.50")(e),_hover:{bg:ze("gray.200","whiteAlpha.100")(e)},_readOnly:{boxShadow:"none 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solid",borderColor:"inherit",my:"2",opacity:.6},ooe={transitionProperty:"common",transitionDuration:"normal"},soe=eoe(e=>({button:ooe,list:Zr(toe,e),item:Zr(noe,e),groupTitle:roe,command:aoe,divider:ioe})),loe=Jie({baseStyle:soe}),{defineMultiStyleConfig:uoe,definePartsStyle:FO}=kr(Qne.keys),coe={bg:"blackAlpha.600",zIndex:"modal"},foe=e=>{const{isCentered:t,scrollBehavior:r}=e;return{display:"flex",zIndex:"modal",justifyContent:"center",alignItems:t?"center":"flex-start",overflow:r==="inside"?"hidden":"auto"}},doe=e=>{const{scrollBehavior:t}=e;return{borderRadius:"md",bg:ze("white","gray.700")(e),color:"inherit",my:"16",zIndex:"modal",maxH:t==="inside"?"calc(100% - 7.5rem)":void 0,boxShadow:ze("lg","dark-lg")(e)}},poe={px:"6",py:"4",fontSize:"xl",fontWeight:"semibold"},hoe={position:"absolute",top:"2",insetEnd:"3"},moe=e=>{const{scrollBehavior:t}=e;return{px:"6",py:"2",flex:"1",overflow:t==="inside"?"auto":void 0}},voe={px:"6",py:"4"},goe=FO(e=>({overlay:coe,dialogContainer:Zr(foe,e),dialog:Zr(doe,e),header:poe,closeButton:hoe,body:Zr(moe,e),footer:voe}));function yl(e){return FO(e==="full"?{dialog:{maxW:"100vw",minH:"$100vh",my:"0",borderRadius:"0"}}:{dialog:{maxW:e}})}var yoe={xs:yl("xs"),sm:yl("sm"),md:yl("md"),lg:yl("lg"),xl:yl("xl"),"2xl":yl("2xl"),"3xl":yl("3xl"),"4xl":yl("4xl"),"5xl":yl("5xl"),"6xl":yl("6xl"),full:yl("full")},boe=uoe({baseStyle:goe,sizes:yoe,defaultProps:{size:"md"}}),Soe={letterSpacings:{tighter:"-0.05em",tight:"-0.025em",normal:"0",wide:"0.025em",wider:"0.05em",widest:"0.1em"},lineHeights:{normal:"normal",none:1,shorter:1.25,short:1.375,base:1.5,tall:1.625,taller:"2",3:".75rem",4:"1rem",5:"1.25rem",6:"1.5rem",7:"1.75rem",8:"2rem",9:"2.25rem",10:"2.5rem"},fontWeights:{hairline:100,thin:200,light:300,normal:400,medium:500,semibold:600,bold:700,extrabold:800,black:900},fonts:{heading:'-apple-system, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple 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0:Z5.field,textAlign:"center"},koe={lg:{fontSize:"lg",w:12,h:12,borderRadius:"md"},md:{fontSize:"md",w:10,h:10,borderRadius:"md"},sm:{fontSize:"sm",w:8,h:8,borderRadius:"sm"},xs:{fontSize:"xs",w:6,h:6,borderRadius:"sm"}},Q5,Doe={outline:e=>{var t,r;return((r=Zr((t=Jn.variants)==null?void 0:t.outline,e))==null?void 0:r.field)??{}},flushed:e=>{var t,r;return((r=Zr((t=Jn.variants)==null?void 0:t.flushed,e))==null?void 0:r.field)??{}},filled:e=>{var t,r;return((r=Zr((t=Jn.variants)==null?void 0:t.filled,e))==null?void 0:r.field)??{}},unstyled:((Q5=Jn.variants)==null?void 0:Q5.unstyled.field)??{}},Poe={baseStyle:Ooe,sizes:koe,variants:Doe,defaultProps:Jn.defaultProps},{defineMultiStyleConfig:Moe,definePartsStyle:Ioe}=kr(ere.keys),gA=xo("popper-bg"),Loe=xo("popper-arrow-bg"),Foe=xo("popper-arrow-shadow-color"),zoe={zIndex:10},Boe=e=>{const t=ze("white","gray.700")(e),r=ze("gray.200","whiteAlpha.300")(e);return{[gA.variable]:`colors.${t}`,bg:gA.reference,[Loe.variable]:gA.reference,[Foe.variable]:`colors.${r}`,width:"xs",border:"1px solid",borderColor:"inherit",borderRadius:"md",boxShadow:"sm",zIndex:"inherit",_focusVisible:{outline:0,boxShadow:"outline"}}},Uoe={px:3,py:2,borderBottomWidth:"1px"},joe={px:3,py:2},$oe={px:3,py:2,borderTopWidth:"1px"},Voe={position:"absolute",borderRadius:"md",top:1,insetEnd:2,padding:2},Hoe=Ioe(e=>({popper:zoe,content:Boe(e),header:Uoe,body:joe,footer:$oe,closeButton:Voe})),Woe=Moe({baseStyle:Hoe}),{defineMultiStyleConfig:Goe,definePartsStyle:Iy}=kr(tre.keys),Yoe=e=>{const{colorScheme:t,theme:r,isIndeterminate:i,hasStripe:o}=e,c=ze(G5(),G5("1rem","rgba(0,0,0,0.1)"))(e),u=ze(`${t}.500`,`${t}.200`)(e),h=`linear-gradient(
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-    transparent 100%
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0:o.call(i,e).container,control:tse(e)}}),rse={md:Lx({control:{w:"4",h:"4"},label:{fontSize:"md"}}),lg:Lx({control:{w:"5",h:"5"},label:{fontSize:"lg"}}),sm:Lx({control:{width:"3",height:"3"},label:{fontSize:"sm"}})},ase=ese({baseStyle:nse,sizes:rse,defaultProps:{size:"md",colorScheme:"blue"}}),{defineMultiStyleConfig:ise,definePartsStyle:ose}=kr(rre.keys),sse=e=>{var t;return{...(t=Jn.baseStyle)==null?void 0:t.field,bg:ze("white","gray.700")(e),appearance:"none",paddingBottom:"1px",lineHeight:"normal","> option, > optgroup":{bg:ze("white","gray.700")(e)}}},lse={width:"6",height:"100%",insetEnd:"2",position:"relative",color:"currentColor",fontSize:"xl",_disabled:{opacity:.5}},use=ose(e=>({field:sse(e),icon:lse})),hx={paddingInlineEnd:"8"},J5,eF,tF,nF,rF,aF,iF,oF,cse={lg:{...(J5=Jn.sizes)==null?void 0:J5.lg,field:{...(eF=Jn.sizes)==null?void 0:eF.lg.field,...hx}},md:{...(tF=Jn.sizes)==null?void 0:tF.md,field:{...(nF=Jn.sizes)==null?void 0:nF.md.field,...hx}},sm:{...(rF=Jn.sizes)==null?void 0:rF.sm,field:{...(aF=Jn.sizes)==null?void 0:aF.sm.field,...hx}},xs:{...(iF=Jn.sizes)==null?void 0:iF.xs,field:{...(oF=Jn.sizes)==null?void 0:oF.sm.field,...hx},icon:{insetEnd:"1"}}},fse=ise({baseStyle:use,sizes:cse,variants:Jn.variants,defaultProps:Jn.defaultProps}),dse=Xf("skeleton-start-color"),pse=Xf("skeleton-end-color"),hse=e=>{const t=ze("gray.100","gray.800")(e),r=ze("gray.400","gray.600")(e),{startColor:i=t,endColor:o=r,theme:c}=e,u=Aa(c,i),h=Aa(c,o);return{[dse.variable]:u,[pse.variable]:h,opacity:.7,borderRadius:"2px",borderColor:u,background:h}},mse={baseStyle:hse},vse=e=>({borderRadius:"md",fontWeight:"semibold",_focusVisible:{boxShadow:"outline",padding:"4",position:"fixed",top:"6",insetStart:"6",bg:ze("white","gray.700")(e)}}),gse={baseStyle:vse},{defineMultiStyleConfig:yse,definePartsStyle:pC}=kr(are.keys),bb=Xf("slider-thumb-size"),Sb=Xf("slider-track-size"),bse=e=>{const{orientation:t}=e;return{display:"inline-block",position:"relative",cursor:"pointer",_disabled:{opacity:.6,cursor:"default",pointerEvents:"none"},...D2({orientation:t,vertical:{h:"100%"},horizontal:{w:"100%"}})}},Sse=e=>({...D2({orientation:e.orientation,horizontal:{h:Sb.reference},vertical:{w:Sb.reference}}),overflow:"hidden",borderRadius:"sm",bg:ze("gray.200","whiteAlpha.200")(e),_disabled:{bg:ze("gray.300","whiteAlpha.300")(e)}}),xse=e=>{const{orientation:t}=e;return{...D2({orientation:t,vertical:{left:"50%",transform:"translateX(-50%)",_active:{transform:"translateX(-50%) scale(1.15)"}},horizontal:{top:"50%",transform:"translateY(-50%)",_active:{transform:"translateY(-50%) scale(1.15)"}}}),w:bb.reference,h:bb.reference,display:"flex",alignItems:"center",justifyContent:"center",position:"absolute",outline:0,zIndex:1,borderRadius:"full",bg:"white",boxShadow:"base",border:"1px 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Error{constructor(t,r,i){super(t),this.description=r,this.context=i,this.type="TransportError"}}class EU extends ua{constructor(t){super(),this.writable=!1,hC(this,t),this.opts=t,this.query=t.query,this.readyState="",this.socket=t.socket}onError(t,r,i){return super.emitReserved("error",new ude(t,r,i)),this}open(){return(this.readyState==="closed"||this.readyState==="")&&(this.readyState="opening",this.doOpen()),this}close(){return(this.readyState==="opening"||this.readyState==="open")&&(this.doClose(),this.onClose()),this}send(t){this.readyState==="open"&&this.write(t)}onOpen(){this.readyState="open",this.writable=!0,super.emitReserved("open")}onData(t){const r=SU(t,this.socket.binaryType);this.onPacket(r)}onPacket(t){super.emitReserved("packet",t)}onClose(t){this.readyState="closed",super.emitReserved("close",t)}}const TU="0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz-_".split(""),ZO=64,cde={};let VF=0,vx=0,HF;function WF(e){let t="";do t=TU[e%ZO]+t,e=Math.floor(e/ZO);while(e>0);return t}function NU(){const e=WF(+new Date);return e!==HF?(VF=0,HF=e):e+"."+WF(VF++)}for(;vx<ZO;vx++)cde[TU[vx]]=vx;function RU(e){let t="";for(let r in e)e.hasOwnProperty(r)&&(t.length&&(t+="&"),t+=encodeURIComponent(r)+"="+encodeURIComponent(e[r]));return t}function fde(e){let t={},r=e.split("&");for(let i=0,o=r.length;i<o;i++){let c=r[i].split("=");t[decodeURIComponent(c[0])]=decodeURIComponent(c[1])}return t}let AU=!1;try{AU=typeof XMLHttpRequest<"u"&&"withCredentials"in new XMLHttpRequest}catch{}const dde=AU;function OU(e){const t=e.xdomain;try{if(typeof XMLHttpRequest<"u"&&(!t||dde))return new XMLHttpRequest}catch{}if(!t)try{return new Ff[["Active"].concat("Object").join("X")]("Microsoft.XMLHTTP")}catch{}}function pde(){}const hde=function(){return new OU({xdomain:!1}).responseType!=null}();class mde extends EU{constructor(t){if(super(t),this.polling=!1,typeof location<"u"){const i=location.protocol==="https:";let o=location.port;o||(o=i?"443":"80"),this.xd=typeof location<"u"&&t.hostname!==location.hostname||o!==t.port,this.xs=t.secure!==i}const r=t&&t.forceBase64;this.supportsBinary=hde&&!r}get name(){return"polling"}doOpen(){this.poll()}pause(t){this.readyState="pausing";const r=()=>{this.readyState="paused",t()};if(this.polling||!this.writable){let i=0;this.polling&&(i++,this.once("pollComplete",function(){--i||r()})),this.writable||(i++,this.once("drain",function(){--i||r()}))}else r()}poll(){this.polling=!0,this.doPoll(),this.emitReserved("poll")}onData(t){const r=i=>{if(this.readyState==="opening"&&i.type==="open"&&this.onOpen(),i.type==="close")return this.onClose({description:"transport closed by the server"}),!1;this.onPacket(i)};nde(t,this.socket.binaryType).forEach(r),this.readyState!=="closed"&&(this.polling=!1,this.emitReserved("pollComplete"),this.readyState==="open"&&this.poll())}doClose(){const t=()=>{this.write([{type:"close"}])};this.readyState==="open"?t():this.once("open",t)}write(t){this.writable=!1,tde(t,r=>{this.doWrite(r,()=>{this.writable=!0,this.emitReserved("drain")})})}uri(){let t=this.query||{};const r=this.opts.secure?"https":"http";let i="";this.opts.timestampRequests!==!1&&(t[this.opts.timestampParam]=NU()),!this.supportsBinary&&!t.sid&&(t.b64=1),this.opts.port&&(r==="https"&&Number(this.opts.port)!==443||r==="http"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port);const o=RU(t),c=this.opts.hostname.indexOf(":")!==-1;return r+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(o.length?"?"+o:"")}request(t={}){return Object.assign(t,{xd:this.xd,xs:this.xs},this.opts),new hu(this.uri(),t)}doWrite(t,r){const i=this.request({method:"POST",data:t});i.on("success",r),i.on("error",(o,c)=>{this.onError("xhr post error",o,c)})}doPoll(){const t=this.request();t.on("data",this.onData.bind(this)),t.on("error",(r,i)=>{this.onError("xhr poll error",r,i)}),this.pollXhr=t}}class hu extends ua{constructor(t,r){super(),hC(this,r),this.opts=r,this.method=r.method||"GET",this.uri=t,this.async=r.async!==!1,this.data=r.data!==void 0?r.data:null,this.create()}create(){const t=_U(this.opts,"agent","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","autoUnref");t.xdomain=!!this.opts.xd,t.xscheme=!!this.opts.xs;const r=this.xhr=new OU(t);try{r.open(this.method,this.uri,this.async);try{if(this.opts.extraHeaders){r.setDisableHeaderCheck&&r.setDisableHeaderCheck(!0);for(let i in this.opts.extraHeaders)this.opts.extraHeaders.hasOwnProperty(i)&&r.setRequestHeader(i,this.opts.extraHeaders[i])}}catch{}if(this.method==="POST")try{r.setRequestHeader("Content-type","text/plain;charset=UTF-8")}catch{}try{r.setRequestHeader("Accept","*/*")}catch{}"withCredentials"in r&&(r.withCredentials=this.opts.withCredentials),this.opts.requestTimeout&&(r.timeout=this.opts.requestTimeout),r.onreadystatechange=()=>{r.readyState===4&&(r.status===200||r.status===1223?this.onLoad():this.setTimeoutFn(()=>{this.onError(typeof r.status=="number"?r.status:0)},0))},r.send(this.data)}catch(i){this.setTimeoutFn(()=>{this.onError(i)},0);return}typeof document<"u"&&(this.index=hu.requestsCount++,hu.requests[this.index]=this)}onError(t){this.emitReserved("error",t,this.xhr),this.cleanup(!0)}cleanup(t){if(!(typeof this.xhr>"u"||this.xhr===null)){if(this.xhr.onreadystatechange=pde,t)try{this.xhr.abort()}catch{}typeof document<"u"&&delete hu.requests[this.index],this.xhr=null}}onLoad(){const t=this.xhr.responseText;t!==null&&(this.emitReserved("data",t),this.emitReserved("success"),this.cleanup())}abort(){this.cleanup()}}hu.requestsCount=0;hu.requests={};if(typeof document<"u"){if(typeof attachEvent=="function")attachEvent("onunload",GF);else if(typeof addEventListener=="function"){const e="onpagehide"in Ff?"pagehide":"unload";addEventListener(e,GF,!1)}}function GF(){for(let e in hu.requests)hu.requests.hasOwnProperty(e)&&hu.requests[e].abort()}const vde=(()=>typeof Promise=="function"&&typeof Promise.resolve=="function"?t=>Promise.resolve().then(t):(t,r)=>r(t,0))(),gx=Ff.WebSocket||Ff.MozWebSocket,YF=!0,gde="arraybuffer",qF=typeof navigator<"u"&&typeof navigator.product=="string"&&navigator.product.toLowerCase()==="reactnative";class yde extends EU{constructor(t){super(t),this.supportsBinary=!t.forceBase64}get name(){return"websocket"}doOpen(){if(!this.check())return;const t=this.uri(),r=this.opts.protocols,i=qF?{}:_U(this.opts,"agent","perMessageDeflate","pfx","key","passphrase","cert","ca","ciphers","rejectUnauthorized","localAddress","protocolVersion","origin","maxPayload","family","checkServerIdentity");this.opts.extraHeaders&&(i.headers=this.opts.extraHeaders);try{this.ws=YF&&!qF?r?new gx(t,r):new gx(t):new gx(t,r,i)}catch(o){return this.emitReserved("error",o)}this.ws.binaryType=this.socket.binaryType||gde,this.addEventListeners()}addEventListeners(){this.ws.onopen=()=>{this.opts.autoUnref&&this.ws._socket.unref(),this.onOpen()},this.ws.onclose=t=>this.onClose({description:"websocket connection closed",context:t}),this.ws.onmessage=t=>this.onData(t.data),this.ws.onerror=t=>this.onError("websocket error",t)}write(t){this.writable=!1;for(let r=0;r<t.length;r++){const i=t[r],o=r===t.length-1;bU(i,this.supportsBinary,c=>{const u={};try{YF&&this.ws.send(c)}catch{}o&&vde(()=>{this.writable=!0,this.emitReserved("drain")},this.setTimeoutFn)})}}doClose(){typeof this.ws<"u"&&(this.ws.close(),this.ws=null)}uri(){let t=this.query||{};const r=this.opts.secure?"wss":"ws";let i="";this.opts.port&&(r==="wss"&&Number(this.opts.port)!==443||r==="ws"&&Number(this.opts.port)!==80)&&(i=":"+this.opts.port),this.opts.timestampRequests&&(t[this.opts.timestampParam]=NU()),this.supportsBinary||(t.b64=1);const o=RU(t),c=this.opts.hostname.indexOf(":")!==-1;return r+"://"+(c?"["+this.opts.hostname+"]":this.opts.hostname)+i+this.opts.path+(o.length?"?"+o:"")}check(){return!!gx}}const bde={websocket:yde,polling:mde},Sde=/^(?:(?![^:@]+:[^:@\/]*@)(http|https|ws|wss):\/\/)?((?:(([^:@]*)(?::([^:@]*))?)?@)?((?:[a-f0-9]{0,4}:){2,7}[a-f0-9]{0,4}|[^:\/?#]*)(?::(\d*))?)(((\/(?:[^?#](?![^?#\/]*\.[^?#\/.]+(?:[?#]|$)))*\/?)?([^?#\/]*))(?:\?([^#]*))?(?:#(.*))?)/,xde=["source","protocol","authority","userInfo","user","password","host","port","relative","path","directory","file","query","anchor"];function QO(e){const t=e,r=e.indexOf("["),i=e.indexOf("]");r!=-1&&i!=-1&&(e=e.substring(0,r)+e.substring(r,i).replace(/:/g,";")+e.substring(i,e.length));let o=Sde.exec(e||""),c={},u=14;for(;u--;)c[xde[u]]=o[u]||"";return r!=-1&&i!=-1&&(c.source=t,c.host=c.host.substring(1,c.host.length-1).replace(/;/g,":"),c.authority=c.authority.replace("[","").replace("]","").replace(/;/g,":"),c.ipv6uri=!0),c.pathNames=wde(c,c.path),c.queryKey=Cde(c,c.query),c}function wde(e,t){const r=/\/{2,9}/g,i=t.replace(r,"/").split("/");return(t.substr(0,1)=="/"||t.length===0)&&i.splice(0,1),t.substr(t.length-1,1)=="/"&&i.splice(i.length-1,1),i}function Cde(e,t){const r={};return t.replace(/(?:^|&)([^&=]*)=?([^&]*)/g,function(i,o,c){o&&(r[o]=c)}),r}class Df extends ua{constructor(t,r={}){super(),t&&typeof t=="object"&&(r=t,t=null),t?(t=QO(t),r.hostname=t.host,r.secure=t.protocol==="https"||t.protocol==="wss",r.port=t.port,t.query&&(r.query=t.query)):r.host&&(r.hostname=QO(r.host).host),hC(this,r),this.secure=r.secure!=null?r.secure:typeof location<"u"&&location.protocol==="https:",r.hostname&&!r.port&&(r.port=this.secure?"443":"80"),this.hostname=r.hostname||(typeof location<"u"?location.hostname:"localhost"),this.port=r.port||(typeof location<"u"&&location.port?location.port:this.secure?"443":"80"),this.transports=r.transports||["polling","websocket"],this.readyState="",this.writeBuffer=[],this.prevBufferLen=0,this.opts=Object.assign({path:"/engine.io",agent:!1,withCredentials:!1,upgrade:!0,timestampParam:"t",rememberUpgrade:!1,rejectUnauthorized:!0,perMessageDeflate:{threshold:1024},transportOptions:{},closeOnBeforeunload:!0},r),this.opts.path=this.opts.path.replace(/\/$/,"")+"/",typeof this.opts.query=="string"&&(this.opts.query=fde(this.opts.query)),this.id=null,this.upgrades=null,this.pingInterval=null,this.pingTimeout=null,this.pingTimeoutTimer=null,typeof addEventListener=="function"&&(this.opts.closeOnBeforeunload&&addEventListener("beforeunload",()=>{this.transport&&(this.transport.removeAllListeners(),this.transport.close())},!1),this.hostname!=="localhost"&&(this.offlineEventListener=()=>{this.onClose("transport close",{description:"network connection lost"})},addEventListener("offline",this.offlineEventListener,!1))),this.open()}createTransport(t){const r=Object.assign({},this.opts.query);r.EIO=CU,r.transport=t,this.id&&(r.sid=this.id);const i=Object.assign({},this.opts.transportOptions[t],this.opts,{query:r,socket:this,hostname:this.hostname,secure:this.secure,port:this.port});return new bde[t](i)}open(){let t;if(this.opts.rememberUpgrade&&Df.priorWebsocketSuccess&&this.transports.indexOf("websocket")!==-1)t="websocket";else if(this.transports.length===0){this.setTimeoutFn(()=>{this.emitReserved("error","No transports available")},0);return}else t=this.transports[0];this.readyState="opening";try{t=this.createTransport(t)}catch{this.transports.shift(),this.open();return}t.open(),this.setTransport(t)}setTransport(t){this.transport&&this.transport.removeAllListeners(),this.transport=t,t.on("drain",this.onDrain.bind(this)).on("packet",this.onPacket.bind(this)).on("error",this.onError.bind(this)).on("close",r=>this.onClose("transport close",r))}probe(t){let r=this.createTransport(t),i=!1;Df.priorWebsocketSuccess=!1;const o=()=>{i||(r.send([{type:"ping",data:"probe"}]),r.once("packet",x=>{if(!i)if(x.type==="pong"&&x.data==="probe"){if(this.upgrading=!0,this.emitReserved("upgrading",r),!r)return;Df.priorWebsocketSuccess=r.name==="websocket",this.transport.pause(()=>{i||this.readyState!=="closed"&&(S(),this.setTransport(r),r.send([{type:"upgrade"}]),this.emitReserved("upgrade",r),r=null,this.upgrading=!1,this.flush())})}else{const C=new Error("probe error");C.transport=r.name,this.emitReserved("upgradeError",C)}}))};function c(){i||(i=!0,S(),r.close(),r=null)}const u=x=>{const C=new Error("probe error: "+x);C.transport=r.name,c(),this.emitReserved("upgradeError",C)};function h(){u("transport closed")}function m(){u("socket closed")}function v(x){r&&x.name!==r.name&&c()}const S=()=>{r.removeListener("open",o),r.removeListener("error",u),r.removeListener("close",h),this.off("close",m),this.off("upgrading",v)};r.once("open",o),r.once("error",u),r.once("close",h),this.once("close",m),this.once("upgrading",v),r.open()}onOpen(){if(this.readyState="open",Df.priorWebsocketSuccess=this.transport.name==="websocket",this.emitReserved("open"),this.flush(),this.readyState==="open"&&this.opts.upgrade&&this.transport.pause){let t=0;const r=this.upgrades.length;for(;t<r;t++)this.probe(this.upgrades[t])}}onPacket(t){if(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")switch(this.emitReserved("packet",t),this.emitReserved("heartbeat"),t.type){case"open":this.onHandshake(JSON.parse(t.data));break;case"ping":this.resetPingTimeout(),this.sendPacket("pong"),this.emitReserved("ping"),this.emitReserved("pong");break;case"error":const r=new Error("server error");r.code=t.data,this.onError(r);break;case"message":this.emitReserved("data",t.data),this.emitReserved("message",t.data);break}}onHandshake(t){this.emitReserved("handshake",t),this.id=t.sid,this.transport.query.sid=t.sid,this.upgrades=this.filterUpgrades(t.upgrades),this.pingInterval=t.pingInterval,this.pingTimeout=t.pingTimeout,this.maxPayload=t.maxPayload,this.onOpen(),this.readyState!=="closed"&&this.resetPingTimeout()}resetPingTimeout(){this.clearTimeoutFn(this.pingTimeoutTimer),this.pingTimeoutTimer=this.setTimeoutFn(()=>{this.onClose("ping timeout")},this.pingInterval+this.pingTimeout),this.opts.autoUnref&&this.pingTimeoutTimer.unref()}onDrain(){this.writeBuffer.splice(0,this.prevBufferLen),this.prevBufferLen=0,this.writeBuffer.length===0?this.emitReserved("drain"):this.flush()}flush(){if(this.readyState!=="closed"&&this.transport.writable&&!this.upgrading&&this.writeBuffer.length){const t=this.getWritablePackets();this.transport.send(t),this.prevBufferLen=t.length,this.emitReserved("flush")}}getWritablePackets(){if(!(this.maxPayload&&this.transport.name==="polling"&&this.writeBuffer.length>1))return this.writeBuffer;let r=1;for(let i=0;i<this.writeBuffer.length;i++){const o=this.writeBuffer[i].data;if(o&&(r+=sde(o)),i>0&&r>this.maxPayload)return this.writeBuffer.slice(0,i);r+=2}return this.writeBuffer}write(t,r,i){return this.sendPacket("message",t,r,i),this}send(t,r,i){return this.sendPacket("message",t,r,i),this}sendPacket(t,r,i,o){if(typeof r=="function"&&(o=r,r=void 0),typeof i=="function"&&(o=i,i=null),this.readyState==="closing"||this.readyState==="closed")return;i=i||{},i.compress=i.compress!==!1;const c={type:t,data:r,options:i};this.emitReserved("packetCreate",c),this.writeBuffer.push(c),o&&this.once("flush",o),this.flush()}close(){const t=()=>{this.onClose("forced close"),this.transport.close()},r=()=>{this.off("upgrade",r),this.off("upgradeError",r),t()},i=()=>{this.once("upgrade",r),this.once("upgradeError",r)};return(this.readyState==="opening"||this.readyState==="open")&&(this.readyState="closing",this.writeBuffer.length?this.once("drain",()=>{this.upgrading?i():t()}):this.upgrading?i():t()),this}onError(t){Df.priorWebsocketSuccess=!1,this.emitReserved("error",t),this.onClose("transport error",t)}onClose(t,r){(this.readyState==="opening"||this.readyState==="open"||this.readyState==="closing")&&(this.clearTimeoutFn(this.pingTimeoutTimer),this.transport.removeAllListeners("close"),this.transport.close(),this.transport.removeAllListeners(),typeof removeEventListener=="function"&&removeEventListener("offline",this.offlineEventListener,!1),this.readyState="closed",this.id=null,this.emitReserved("close",t,r),this.writeBuffer=[],this.prevBufferLen=0)}filterUpgrades(t){const r=[];let i=0;const o=t.length;for(;i<o;i++)~this.transports.indexOf(t[i])&&r.push(t[i]);return r}}Df.protocol=CU;function _de(e,t="",r){let i=e;r=r||typeof location<"u"&&location,e==null&&(e=r.protocol+"//"+r.host),typeof e=="string"&&(e.charAt(0)==="/"&&(e.charAt(1)==="/"?e=r.protocol+e:e=r.host+e),/^(https?|wss?):\/\//.test(e)||(typeof r<"u"?e=r.protocol+"//"+e:e="https://"+e),i=QO(e)),i.port||(/^(http|ws)$/.test(i.protocol)?i.port="80":/^(http|ws)s$/.test(i.protocol)&&(i.port="443")),i.path=i.path||"/";const c=i.host.indexOf(":")!==-1?"["+i.host+"]":i.host;return i.id=i.protocol+"://"+c+":"+i.port+t,i.href=i.protocol+"://"+c+(r&&r.port===i.port?"":":"+i.port),i}const Ede=typeof ArrayBuffer=="function",Tde=e=>typeof ArrayBuffer.isView=="function"?ArrayBuffer.isView(e):e.buffer instanceof ArrayBuffer,kU=Object.prototype.toString,Nde=typeof Blob=="function"||typeof Blob<"u"&&kU.call(Blob)==="[object BlobConstructor]",Rde=typeof File=="function"||typeof File<"u"&&kU.call(File)==="[object FileConstructor]";function Q2(e){return Ede&&(e instanceof ArrayBuffer||Tde(e))||Nde&&e instanceof Blob||Rde&&e instanceof File}function Ux(e,t){if(!e||typeof e!="object")return!1;if(Array.isArray(e)){for(let r=0,i=e.length;r<i;r++)if(Ux(e[r]))return!0;return!1}if(Q2(e))return!0;if(e.toJSON&&typeof e.toJSON=="function"&&arguments.length===1)return Ux(e.toJSON(),!0);for(const r in e)if(Object.prototype.hasOwnProperty.call(e,r)&&Ux(e[r]))return!0;return!1}function Ade(e){const t=[],r=e.data,i=e;return i.data=JO(r,t),i.attachments=t.length,{packet:i,buffers:t}}function JO(e,t){if(!e)return e;if(Q2(e)){const r={_placeholder:!0,num:t.length};return t.push(e),r}else if(Array.isArray(e)){const r=new Array(e.length);for(let i=0;i<e.length;i++)r[i]=JO(e[i],t);return r}else if(typeof e=="object"&&!(e instanceof Date)){const r={};for(const i in e)Object.prototype.hasOwnProperty.call(e,i)&&(r[i]=JO(e[i],t));return r}return e}function Ode(e,t){return e.data=ek(e.data,t),e.attachments=void 0,e}function ek(e,t){if(!e)return e;if(e&&e._placeholder===!0){if(typeof e.num=="number"&&e.num>=0&&e.num<t.length)return t[e.num];throw new Error("illegal attachments")}else if(Array.isArray(e))for(let r=0;r<e.length;r++)e[r]=ek(e[r],t);else if(typeof e=="object")for(const r in e)Object.prototype.hasOwnProperty.call(e,r)&&(e[r]=ek(e[r],t));return e}const kde=5;var Vn;(function(e){e[e.CONNECT=0]="CONNECT",e[e.DISCONNECT=1]="DISCONNECT",e[e.EVENT=2]="EVENT",e[e.ACK=3]="ACK",e[e.CONNECT_ERROR=4]="CONNECT_ERROR",e[e.BINARY_EVENT=5]="BINARY_EVENT",e[e.BINARY_ACK=6]="BINARY_ACK"})(Vn||(Vn={}));class Dde{constructor(t){this.replacer=t}encode(t){return(t.type===Vn.EVENT||t.type===Vn.ACK)&&Ux(t)?(t.type=t.type===Vn.EVENT?Vn.BINARY_EVENT:Vn.BINARY_ACK,this.encodeAsBinary(t)):[this.encodeAsString(t)]}encodeAsString(t){let r=""+t.type;return(t.type===Vn.BINARY_EVENT||t.type===Vn.BINARY_ACK)&&(r+=t.attachments+"-"),t.nsp&&t.nsp!=="/"&&(r+=t.nsp+","),t.id!=null&&(r+=t.id),t.data!=null&&(r+=JSON.stringify(t.data,this.replacer)),r}encodeAsBinary(t){const r=Ade(t),i=this.encodeAsString(r.packet),o=r.buffers;return o.unshift(i),o}}class J2 extends ua{constructor(t){super(),this.reviver=t}add(t){let r;if(typeof t=="string"){if(this.reconstructor)throw new Error("got plaintext data when reconstructing a packet");r=this.decodeString(t),r.type===Vn.BINARY_EVENT||r.type===Vn.BINARY_ACK?(this.reconstructor=new Pde(r),r.attachments===0&&super.emitReserved("decoded",r)):super.emitReserved("decoded",r)}else if(Q2(t)||t.base64)if(this.reconstructor)r=this.reconstructor.takeBinaryData(t),r&&(this.reconstructor=null,super.emitReserved("decoded",r));else throw new Error("got binary data when not reconstructing a packet");else throw new Error("Unknown type: "+t)}decodeString(t){let r=0;const i={type:Number(t.charAt(0))};if(Vn[i.type]===void 0)throw new Error("unknown packet type "+i.type);if(i.type===Vn.BINARY_EVENT||i.type===Vn.BINARY_ACK){const c=r+1;for(;t.charAt(++r)!=="-"&&r!=t.length;);const u=t.substring(c,r);if(u!=Number(u)||t.charAt(r)!=="-")throw new Error("Illegal attachments");i.attachments=Number(u)}if(t.charAt(r+1)==="/"){const c=r+1;for(;++r&&!(t.charAt(r)===","||r===t.length););i.nsp=t.substring(c,r)}else i.nsp="/";const o=t.charAt(r+1);if(o!==""&&Number(o)==o){const c=r+1;for(;++r;){const u=t.charAt(r);if(u==null||Number(u)!=u){--r;break}if(r===t.length)break}i.id=Number(t.substring(c,r+1))}if(t.charAt(++r)){const c=this.tryParse(t.substr(r));if(J2.isPayloadValid(i.type,c))i.data=c;else throw new Error("invalid payload")}return i}tryParse(t){try{return JSON.parse(t,this.reviver)}catch{return!1}}static isPayloadValid(t,r){switch(t){case Vn.CONNECT:return typeof r=="object";case Vn.DISCONNECT:return r===void 0;case Vn.CONNECT_ERROR:return typeof r=="string"||typeof r=="object";case Vn.EVENT:case Vn.BINARY_EVENT:return Array.isArray(r)&&r.length>0;case Vn.ACK:case Vn.BINARY_ACK:return Array.isArray(r)}}destroy(){this.reconstructor&&this.reconstructor.finishedReconstruction()}}class Pde{constructor(t){this.packet=t,this.buffers=[],this.reconPack=t}takeBinaryData(t){if(this.buffers.push(t),this.buffers.length===this.reconPack.attachments){const r=Ode(this.reconPack,this.buffers);return this.finishedReconstruction(),r}return null}finishedReconstruction(){this.reconPack=null,this.buffers=[]}}const Mde=Object.freeze(Object.defineProperty({__proto__:null,protocol:kde,get PacketType(){return Vn},Encoder:Dde,Decoder:J2},Symbol.toStringTag,{value:"Module"}));function xl(e,t,r){return e.on(t,r),function(){e.off(t,r)}}const Ide=Object.freeze({connect:1,connect_error:1,disconnect:1,disconnecting:1,newListener:1,removeListener:1});class DU extends ua{constructor(t,r,i){super(),this.connected=!1,this.receiveBuffer=[],this.sendBuffer=[],this.ids=0,this.acks={},this.flags={},this.io=t,this.nsp=r,i&&i.auth&&(this.auth=i.auth),this.io._autoConnect&&this.open()}get disconnected(){return!this.connected}subEvents(){if(this.subs)return;const t=this.io;this.subs=[xl(t,"open",this.onopen.bind(this)),xl(t,"packet",this.onpacket.bind(this)),xl(t,"error",this.onerror.bind(this)),xl(t,"close",this.onclose.bind(this))]}get active(){return!!this.subs}connect(){return this.connected?this:(this.subEvents(),this.io._reconnecting||this.io.open(),this.io._readyState==="open"&&this.onopen(),this)}open(){return this.connect()}send(...t){return t.unshift("message"),this.emit.apply(this,t),this}emit(t,...r){if(Ide.hasOwnProperty(t))throw new Error('"'+t.toString()+'" is a reserved event name');r.unshift(t);const i={type:Vn.EVENT,data:r};if(i.options={},i.options.compress=this.flags.compress!==!1,typeof r[r.length-1]=="function"){const u=this.ids++,h=r.pop();this._registerAckCallback(u,h),i.id=u}const o=this.io.engine&&this.io.engine.transport&&this.io.engine.transport.writable;return this.flags.volatile&&(!o||!this.connected)||(this.connected?(this.notifyOutgoingListeners(i),this.packet(i)):this.sendBuffer.push(i)),this.flags={},this}_registerAckCallback(t,r){const i=this.flags.timeout;if(i===void 0){this.acks[t]=r;return}const o=this.io.setTimeoutFn(()=>{delete this.acks[t];for(let c=0;c<this.sendBuffer.length;c++)this.sendBuffer[c].id===t&&this.sendBuffer.splice(c,1);r.call(this,new Error("operation has timed out"))},i);this.acks[t]=(...c)=>{this.io.clearTimeoutFn(o),r.apply(this,[null,...c])}}packet(t){t.nsp=this.nsp,this.io._packet(t)}onopen(){typeof this.auth=="function"?this.auth(t=>{this.packet({type:Vn.CONNECT,data:t})}):this.packet({type:Vn.CONNECT,data:this.auth})}onerror(t){this.connected||this.emitReserved("connect_error",t)}onclose(t,r){this.connected=!1,delete this.id,this.emitReserved("disconnect",t,r)}onpacket(t){if(t.nsp===this.nsp)switch(t.type){case Vn.CONNECT:if(t.data&&t.data.sid){const o=t.data.sid;this.onconnect(o)}else this.emitReserved("connect_error",new Error("It seems you are trying to reach a Socket.IO server in v2.x with a v3.x client, but they are not compatible (more information here: https://socket.io/docs/v3/migrating-from-2-x-to-3-0/)"));break;case Vn.EVENT:case Vn.BINARY_EVENT:this.onevent(t);break;case Vn.ACK:case Vn.BINARY_ACK:this.onack(t);break;case Vn.DISCONNECT:this.ondisconnect();break;case Vn.CONNECT_ERROR:this.destroy();const i=new Error(t.data.message);i.data=t.data.data,this.emitReserved("connect_error",i);break}}onevent(t){const r=t.data||[];t.id!=null&&r.push(this.ack(t.id)),this.connected?this.emitEvent(r):this.receiveBuffer.push(Object.freeze(r))}emitEvent(t){if(this._anyListeners&&this._anyListeners.length){const r=this._anyListeners.slice();for(const i of r)i.apply(this,t)}super.emit.apply(this,t)}ack(t){const r=this;let i=!1;return function(...o){i||(i=!0,r.packet({type:Vn.ACK,id:t,data:o}))}}onack(t){const r=this.acks[t.id];typeof r=="function"&&(r.apply(this,t.data),delete this.acks[t.id])}onconnect(t){this.id=t,this.connected=!0,this.emitBuffered(),this.emitReserved("connect")}emitBuffered(){this.receiveBuffer.forEach(t=>this.emitEvent(t)),this.receiveBuffer=[],this.sendBuffer.forEach(t=>{this.notifyOutgoingListeners(t),this.packet(t)}),this.sendBuffer=[]}ondisconnect(){this.destroy(),this.onclose("io server disconnect")}destroy(){this.subs&&(this.subs.forEach(t=>t()),this.subs=void 0),this.io._destroy(this)}disconnect(){return this.connected&&this.packet({type:Vn.DISCONNECT}),this.destroy(),this.connected&&this.onclose("io client disconnect"),this}close(){return this.disconnect()}compress(t){return this.flags.compress=t,this}get volatile(){return this.flags.volatile=!0,this}timeout(t){return this.flags.timeout=t,this}onAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.push(t),this}prependAny(t){return this._anyListeners=this._anyListeners||[],this._anyListeners.unshift(t),this}offAny(t){if(!this._anyListeners)return this;if(t){const r=this._anyListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyListeners=[];return this}listenersAny(){return this._anyListeners||[]}onAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.push(t),this}prependAnyOutgoing(t){return this._anyOutgoingListeners=this._anyOutgoingListeners||[],this._anyOutgoingListeners.unshift(t),this}offAnyOutgoing(t){if(!this._anyOutgoingListeners)return this;if(t){const r=this._anyOutgoingListeners;for(let i=0;i<r.length;i++)if(t===r[i])return r.splice(i,1),this}else this._anyOutgoingListeners=[];return this}listenersAnyOutgoing(){return this._anyOutgoingListeners||[]}notifyOutgoingListeners(t){if(this._anyOutgoingListeners&&this._anyOutgoingListeners.length){const r=this._anyOutgoingListeners.slice();for(const i of r)i.apply(this,t.data)}}}function uv(e){e=e||{},this.ms=e.min||100,this.max=e.max||1e4,this.factor=e.factor||2,this.jitter=e.jitter>0&&e.jitter<=1?e.jitter:0,this.attempts=0}uv.prototype.duration=function(){var e=this.ms*Math.pow(this.factor,this.attempts++);if(this.jitter){var t=Math.random(),r=Math.floor(t*this.jitter*e);e=(Math.floor(t*10)&1)==0?e-r:e+r}return Math.min(e,this.max)|0};uv.prototype.reset=function(){this.attempts=0};uv.prototype.setMin=function(e){this.ms=e};uv.prototype.setMax=function(e){this.max=e};uv.prototype.setJitter=function(e){this.jitter=e};class tk extends ua{constructor(t,r){var i;super(),this.nsps={},this.subs=[],t&&typeof t=="object"&&(r=t,t=void 0),r=r||{},r.path=r.path||"/socket.io",this.opts=r,hC(this,r),this.reconnection(r.reconnection!==!1),this.reconnectionAttempts(r.reconnectionAttempts||1/0),this.reconnectionDelay(r.reconnectionDelay||1e3),this.reconnectionDelayMax(r.reconnectionDelayMax||5e3),this.randomizationFactor((i=r.randomizationFactor)!==null&&i!==void 0?i:.5),this.backoff=new uv({min:this.reconnectionDelay(),max:this.reconnectionDelayMax(),jitter:this.randomizationFactor()}),this.timeout(r.timeout==null?2e4:r.timeout),this._readyState="closed",this.uri=t;const o=r.parser||Mde;this.encoder=new o.Encoder,this.decoder=new o.Decoder,this._autoConnect=r.autoConnect!==!1,this._autoConnect&&this.open()}reconnection(t){return arguments.length?(this._reconnection=!!t,this):this._reconnection}reconnectionAttempts(t){return t===void 0?this._reconnectionAttempts:(this._reconnectionAttempts=t,this)}reconnectionDelay(t){var r;return t===void 0?this._reconnectionDelay:(this._reconnectionDelay=t,(r=this.backoff)===null||r===void 0||r.setMin(t),this)}randomizationFactor(t){var r;return t===void 0?this._randomizationFactor:(this._randomizationFactor=t,(r=this.backoff)===null||r===void 0||r.setJitter(t),this)}reconnectionDelayMax(t){var r;return t===void 0?this._reconnectionDelayMax:(this._reconnectionDelayMax=t,(r=this.backoff)===null||r===void 0||r.setMax(t),this)}timeout(t){return arguments.length?(this._timeout=t,this):this._timeout}maybeReconnectOnOpen(){!this._reconnecting&&this._reconnection&&this.backoff.attempts===0&&this.reconnect()}open(t){if(~this._readyState.indexOf("open"))return this;this.engine=new Df(this.uri,this.opts);const r=this.engine,i=this;this._readyState="opening",this.skipReconnect=!1;const o=xl(r,"open",function(){i.onopen(),t&&t()}),c=xl(r,"error",u=>{i.cleanup(),i._readyState="closed",this.emitReserved("error",u),t?t(u):i.maybeReconnectOnOpen()});if(this._timeout!==!1){const u=this._timeout;u===0&&o();const h=this.setTimeoutFn(()=>{o(),r.close(),r.emit("error",new Error("timeout"))},u);this.opts.autoUnref&&h.unref(),this.subs.push(function(){clearTimeout(h)})}return this.subs.push(o),this.subs.push(c),this}connect(t){return this.open(t)}onopen(){this.cleanup(),this._readyState="open",this.emitReserved("open");const t=this.engine;this.subs.push(xl(t,"ping",this.onping.bind(this)),xl(t,"data",this.ondata.bind(this)),xl(t,"error",this.onerror.bind(this)),xl(t,"close",this.onclose.bind(this)),xl(this.decoder,"decoded",this.ondecoded.bind(this)))}onping(){this.emitReserved("ping")}ondata(t){try{this.decoder.add(t)}catch{this.onclose("parse error")}}ondecoded(t){this.emitReserved("packet",t)}onerror(t){this.emitReserved("error",t)}socket(t,r){let i=this.nsps[t];return i||(i=new DU(this,t,r),this.nsps[t]=i),i}_destroy(t){const r=Object.keys(this.nsps);for(const i of r)if(this.nsps[i].active)return;this._close()}_packet(t){const r=this.encoder.encode(t);for(let i=0;i<r.length;i++)this.engine.write(r[i],t.options)}cleanup(){this.subs.forEach(t=>t()),this.subs.length=0,this.decoder.destroy()}_close(){this.skipReconnect=!0,this._reconnecting=!1,this.onclose("forced close"),this.engine&&this.engine.close()}disconnect(){return this._close()}onclose(t,r){this.cleanup(),this.backoff.reset(),this._readyState="closed",this.emitReserved("close",t,r),this._reconnection&&!this.skipReconnect&&this.reconnect()}reconnect(){if(this._reconnecting||this.skipReconnect)return this;const t=this;if(this.backoff.attempts>=this._reconnectionAttempts)this.backoff.reset(),this.emitReserved("reconnect_failed"),this._reconnecting=!1;else{const r=this.backoff.duration();this._reconnecting=!0;const i=this.setTimeoutFn(()=>{t.skipReconnect||(this.emitReserved("reconnect_attempt",t.backoff.attempts),!t.skipReconnect&&t.open(o=>{o?(t._reconnecting=!1,t.reconnect(),this.emitReserved("reconnect_error",o)):t.onreconnect()}))},r);this.opts.autoUnref&&i.unref(),this.subs.push(function(){clearTimeout(i)})}}onreconnect(){const t=this.backoff.attempts;this._reconnecting=!1,this.backoff.reset(),this.emitReserved("reconnect",t)}}const Ay={};function jx(e,t){typeof e=="object"&&(t=e,e=void 0),t=t||{};const r=_de(e,t.path||"/socket.io"),i=r.source,o=r.id,c=r.path,u=Ay[o]&&c in Ay[o].nsps,h=t.forceNew||t["force new connection"]||t.multiplex===!1||u;let m;return h?m=new tk(i,t):(Ay[o]||(Ay[o]=new tk(i,t)),m=Ay[o]),r.query&&!t.query&&(t.query=r.queryKey),m.socket(r.path,t)}Object.assign(jx,{Manager:tk,Socket:DU,io:jx,connect:jx});let yx;const Lde=new Uint8Array(16);function Fde(){if(!yx&&(yx=typeof crypto<"u"&&crypto.getRandomValues&&crypto.getRandomValues.bind(crypto),!yx))throw new 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See https://github.com/uuidjs/uuid#getrandomvalues-not-supported");return yx(Lde)}const oi=[];for(let e=0;e<256;++e)oi.push((e+256).toString(16).slice(1));function zde(e,t=0){return(oi[e[t+0]]+oi[e[t+1]]+oi[e[t+2]]+oi[e[t+3]]+"-"+oi[e[t+4]]+oi[e[t+5]]+"-"+oi[e[t+6]]+oi[e[t+7]]+"-"+oi[e[t+8]]+oi[e[t+9]]+"-"+oi[e[t+10]]+oi[e[t+11]]+oi[e[t+12]]+oi[e[t+13]]+oi[e[t+14]]+oi[e[t+15]]).toLowerCase()}const Bde=typeof crypto<"u"&&crypto.randomUUID&&crypto.randomUUID.bind(crypto),KF={randomUUID:Bde};function Oy(e,t,r){if(KF.randomUUID&&!t&&!e)return KF.randomUUID();e=e||{};const i=e.random||(e.rng||Fde)();if(i[6]=i[6]&15|64,i[8]=i[8]&63|128,t){r=r||0;for(let o=0;o<16;++o)t[r+o]=i[o];return t}return zde(i)}var Ude=/d{1,4}|D{3,4}|m{1,4}|yy(?:yy)?|([HhMsTt])\1?|W{1,2}|[LlopSZN]|"[^"]*"|'[^']*'/g,jde=/\b(?:[A-Z]{1,3}[A-Z][TC])(?:[-+]\d{4})?|((?:Australian )?(?:Pacific|Mountain|Central|Eastern|Atlantic) (?:Standard|Daylight|Prevailing) Time)\b/g,$de=/[^-+\dA-Z]/g;function 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-`+O.message,"");i({title:"Upload failed",description:_,status:"error",isClosable:!0})},[i]);return k(On,{gap:2,justifyContent:"space-between",width:"100%",children:[k(v3,{fileAcceptedCallback:v,fileRejectionCallback:x,children:k(vu,{size:"sm",fontSize:"md",fontWeight:"normal",onMouseOver:c,onMouseOut:u,children:"Upload Image"},void 0,!1,{fileName:wp,lineNumber:93,columnNumber:9},void 0)},void 0,!1,{fileName:wp,lineNumber:89,columnNumber:7},void 0),k(v3,{fileAcceptedCallback:S,fileRejectionCallback:x,children:k(vu,{isDisabled:!r,size:"sm",fontSize:"md",fontWeight:"normal",onMouseOver:h,onMouseOut:m,children:"Upload Mask"},void 0,!1,{fileName:wp,lineNumber:108,columnNumber:9},void 0)},void 0,!1,{fileName:wp,lineNumber:104,columnNumber:7},void 0),k(Ps,{isDisabled:!r,size:"sm","aria-label":"Reset initial image and mask",onClick:o,icon:k(UU,{},void 0,!1,{fileName:wp,lineNumber:125,columnNumber:15},void 0)},void 0,!1,{fileName:wp,lineNumber:120,columnNumber:7},void 0)]},void 0,!0,{fileName:wp,lineNumber:88,columnNumber:5},void 0)};var Dy="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/InitAndMaskImage.tsx";const nme=Vr(e=>e.sd,e=>({initialImagePath:e.initialImagePath,maskPath:e.maskPath}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),rme=()=>{const{initialImagePath:e,maskPath:t}=wr(nme),[r,i]=D.exports.useState(!1);return k(On,{direction:"column",alignItems:"center",gap:2,children:[k(tme,{setShouldShowMask:i},void 0,!1,{fileName:Dy,lineNumber:31,columnNumber:7},void 0),e&&k(On,{position:"relative",width:"100%",children:[k(db,{fit:"contain",src:e,rounded:"md",className:"checkerboard"},void 0,!1,{fileName:Dy,lineNumber:34,columnNumber:11},void 0),r&&t&&k(db,{position:"absolute",top:0,left:0,fit:"contain",src:t,rounded:"md",zIndex:1},void 0,!1,{fileName:Dy,lineNumber:41,columnNumber:13},void 0)]},void 0,!0,{fileName:Dy,lineNumber:33,columnNumber:9},void 0)]},void 0,!0,{fileName:Dy,lineNumber:30,columnNumber:5},void 0)};var Cx="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/ImageToImageOptions.tsx";const ame=Vr(e=>e.sd,e=>({img2imgStrength:e.img2imgStrength,shouldFitToWidthHeight:e.shouldFitToWidthHeight})),ime=()=>{const e=ci(),{img2imgStrength:t,shouldFitToWidthHeight:r}=wr(ame);return k(On,{direction:"column",gap:2,children:[k(jf,{label:"Strength",step:.01,min:0,max:1,onChange:c=>e(xfe(Number(c))),value:t},void 0,!1,{fileName:Cx,lineNumber:41,columnNumber:7},void 0),k(Rw,{label:"Fit initial image to output size",isChecked:r,onChange:c=>e(Tfe(c.target.checked))},void 0,!1,{fileName:Cx,lineNumber:49,columnNumber:7},void 0),k(rme,{},void 0,!1,{fileName:Cx,lineNumber:54,columnNumber:7},void 0)]},void 0,!0,{fileName:Cx,lineNumber:40,columnNumber:5},void 0)};var Ht="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/OptionsAccordion.tsx";const ome=Vr(e=>e.sd,e=>({initialImagePath:e.initialImagePath,shouldUseInitImage:e.shouldUseInitImage,shouldRunESRGAN:e.shouldRunESRGAN,shouldRunGFPGAN:e.shouldRunGFPGAN}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),sme=Vr(e=>e.system,e=>({isGFPGANAvailable:e.isGFPGANAvailable,isESRGANAvailable:e.isESRGANAvailable,openAccordions:e.openAccordions}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),lme=()=>{const{shouldRunESRGAN:e,shouldRunGFPGAN:t,shouldUseInitImage:r,initialImagePath:i}=wr(ome),{isGFPGANAvailable:o,isESRGANAvailable:c,openAccordions:u}=wr(sme),h=ci();return k(Tz,{defaultIndex:u,allowMultiple:!0,reduceMotion:!0,onChange:C=>h(Wfe(C)),children:[k(Tp,{children:[k("h2",{children:k(_p,{children:[k(Fp,{flex:"1",textAlign:"left",children:"Seed & Variation"},void 0,!1,{fileName:Ht,lineNumber:108,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:111,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:107,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:106,columnNumber:9},void 0),k(Np,{children:k(Kpe,{},void 0,!1,{fileName:Ht,lineNumber:115,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:114,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:105,columnNumber:7},void 0),k(Tp,{children:[k("h2",{children:k(_p,{children:[k(Fp,{flex:"1",textAlign:"left",children:"Sampler"},void 0,!1,{fileName:Ht,lineNumber:121,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:124,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:120,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:119,columnNumber:9},void 0),k(Np,{children:k(Zpe,{},void 0,!1,{fileName:Ht,lineNumber:128,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:127,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:118,columnNumber:7},void 0),k(Tp,{children:[k("h2",{children:k(_p,{children:[k(On,{justifyContent:"space-between",alignItems:"center",width:"100%",mr:2,children:[k(Nr,{children:"Upscale (ESRGAN)"},void 0,!1,{fileName:Ht,lineNumber:140,columnNumber:15},void 0),k(Bf,{isDisabled:!c,isChecked:e,onChange:C=>h(Dfe(C.target.checked))},void 0,!1,{fileName:Ht,lineNumber:141,columnNumber:15},void 0)]},void 0,!0,{fileName:Ht,lineNumber:134,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:147,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:133,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:132,columnNumber:9},void 0),k(Np,{children:k(ehe,{},void 0,!1,{fileName:Ht,lineNumber:151,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:150,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:131,columnNumber:7},void 0),k(Tp,{children:[k("h2",{children:k(_p,{children:[k(On,{justifyContent:"space-between",alignItems:"center",width:"100%",mr:2,children:[k(Nr,{children:"Fix Faces (GFPGAN)"},void 0,!1,{fileName:Ht,lineNumber:163,columnNumber:15},void 0),k(Bf,{isDisabled:!o,isChecked:t,onChange:C=>h(kfe(C.target.checked))},void 0,!1,{fileName:Ht,lineNumber:164,columnNumber:15},void 0)]},void 0,!0,{fileName:Ht,lineNumber:157,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:170,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:156,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:155,columnNumber:9},void 0),k(Np,{children:k(rhe,{},void 0,!1,{fileName:Ht,lineNumber:174,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:173,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:154,columnNumber:7},void 0),k(Tp,{children:[k("h2",{children:k(_p,{children:[k(On,{justifyContent:"space-between",alignItems:"center",width:"100%",mr:2,children:[k(Nr,{children:"Image to Image"},void 0,!1,{fileName:Ht,lineNumber:186,columnNumber:15},void 0),k(Bf,{isDisabled:!i,isChecked:r,onChange:C=>h(Efe(C.target.checked))},void 0,!1,{fileName:Ht,lineNumber:187,columnNumber:15},void 0)]},void 0,!0,{fileName:Ht,lineNumber:180,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:193,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:179,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:178,columnNumber:9},void 0),k(Np,{children:k(ime,{},void 0,!1,{fileName:Ht,lineNumber:197,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:196,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:177,columnNumber:7},void 0),k(Tp,{children:[k("h2",{children:k(_p,{children:[k(Fp,{flex:"1",textAlign:"left",children:"Output"},void 0,!1,{fileName:Ht,lineNumber:203,columnNumber:13},void 0),k(Ep,{},void 0,!1,{fileName:Ht,lineNumber:206,columnNumber:13},void 0)]},void 0,!0,{fileName:Ht,lineNumber:202,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:201,columnNumber:9},void 0),k(Np,{children:k(ihe,{},void 0,!1,{fileName:Ht,lineNumber:210,columnNumber:11},void 0)},void 0,!1,{fileName:Ht,lineNumber:209,columnNumber:9},void 0)]},void 0,!0,{fileName:Ht,lineNumber:200,columnNumber:7},void 0)]},void 0,!0,{fileName:Ht,lineNumber:99,columnNumber:5},void 0)},ume=Vr(e=>e.sd,e=>({prompt:e.prompt,shouldGenerateVariations:e.shouldGenerateVariations,seedWeights:e.seedWeights,maskPath:e.maskPath,initialImagePath:e.initialImagePath,seed:e.seed}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),cme=Vr(e=>e.system,e=>({isProcessing:e.isProcessing,isConnected:e.isConnected}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),fme=()=>{const{prompt:e,shouldGenerateVariations:t,seedWeights:r,maskPath:i,initialImagePath:o,seed:c}=wr(ume),{isProcessing:u,isConnected:h}=wr(cme);return D.exports.useMemo(()=>!(!e||i&&!o||u||!h||t&&(!(mC(r)||r==="")||c===-1)),[e,i,o,u,h,t,r,c])};var OA="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/ProcessButtons.tsx";const dme=Vr(e=>e.system,e=>({isProcessing:e.isProcessing,isConnected:e.isConnected}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),pme=()=>{const e=ci(),{isProcessing:t,isConnected:r}=wr(dme),i=fme();return k(On,{gap:2,direction:"column",alignItems:"space-between",height:"100%",children:[k(ru,{label:"Generate",type:"submit",colorScheme:"green",flexGrow:1,isDisabled:!i,fontSize:"md",size:"md",onClick:()=>e(jU())},void 0,!1,{fileName:OA,lineNumber:45,columnNumber:7},void 0),k(ru,{label:"Cancel",colorScheme:"red",flexGrow:1,fontSize:"md",size:"md",isDisabled:!r||!t,onClick:()=>e(Rpe())},void 0,!1,{fileName:OA,lineNumber:55,columnNumber:7},void 0)]},void 0,!0,{fileName:OA,lineNumber:39,columnNumber:5},void 0)};var hme="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/sd/PromptInput.tsx";const mme=()=>{const{prompt:e}=wr(o=>o.sd),t=ci(),r=o=>t(pfe(o.target.value)),i=o=>{o.key==="Enter"&&o.shiftKey===!1&&(o.preventDefault(),t(jU()))};return k(v6,{id:"prompt",name:"prompt",resize:"none",size:"lg",height:"100%",isInvalid:!e.length,onChange:r,onKeyDown:i,value:e,placeholder:"I'm dreaming of..."},void 0,!1,{fileName:hme,lineNumber:29,columnNumber:5},void 0)};var bl="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/features/system/LogViewer.tsx";const vme=Vr(e=>e.system,e=>e.log,{memoizeOptions:{resultEqualityCheck:(e,t)=>e.length===t.length}}),gme=Vr(e=>e.system,e=>({shouldShowLogViewer:e.shouldShowLogViewer}),{memoizeOptions:{resultEqualityCheck:$r.exports.isEqual}}),yme=()=>{const e=ci(),t=wr(vme),{shouldShowLogViewer:r}=wr(gme),i=Ip("gray.50","gray.900"),o=Ip("gray.500","gray.500"),c=Ip({info:void 0,warning:"yellow.500",error:"red.500"},{info:void 0,warning:"yellow.300",error:"red.300"}),[u,h]=D.exports.useState(!0),m=D.exports.useRef(null);D.exports.useLayoutEffect(()=>{m.current!==null&&u&&(m.current.scrollTop=m.current.scrollHeight)},[u,t,r]);const v=()=>{e(Hfe(!r))};return k(bo,{children:[r&&k(On,{position:"fixed",left:0,bottom:0,height:"200px",width:"100vw",overflow:"auto",direction:"column",fontFamily:"monospace",fontSize:"sm",pl:12,pr:2,pb:2,borderTopWidth:"4px",borderColor:o,background:i,ref:m,children:t.map((S,x)=>{const{timestamp:C,message:_,level:N}=S;return k(On,{gap:2,textColor:c[N],children:[k(Nr,{fontSize:"sm",fontWeight:"semibold",children:[C,":"]},void 0,!0,{fileName:bl,lineNumber:109,columnNumber:17},void 0),k(Nr,{fontSize:"sm",wordBreak:"break-all",children:_},void 0,!1,{fileName:bl,lineNumber:112,columnNumber:17},void 0)]},x,!0,{fileName:bl,lineNumber:108,columnNumber:15},void 0)})},void 0,!1,{fileName:bl,lineNumber:87,columnNumber:9},void 0),r&&k($O,{label:u?"Autoscroll on":"Autoscroll off",children:k(Ps,{size:"sm",position:"fixed",left:2,bottom:12,"aria-label":"Toggle autoscroll",variant:"solid",colorScheme:u?"blue":"gray",icon:k(dpe,{},void 0,!1,{fileName:bl,lineNumber:130,columnNumber:19},void 0),onClick:()=>h(!u)},void 0,!1,{fileName:bl,lineNumber:122,columnNumber:11},void 0)},void 0,!1,{fileName:bl,lineNumber:121,columnNumber:9},void 0),k($O,{label:r?"Hide logs":"Show logs",children:k(Ps,{size:"sm",position:"fixed",left:2,bottom:2,variant:"solid","aria-label":"Toggle Log Viewer",icon:r?k(vpe,{},void 0,!1,{fileName:bl,lineNumber:143,columnNumber:39},void 0):k(hpe,{},void 0,!1,{fileName:bl,lineNumber:143,columnNumber:53},void 0),onClick:v},void 0,!1,{fileName:bl,lineNumber:136,columnNumber:9},void 0)},void 0,!1,{fileName:bl,lineNumber:135,columnNumber:7},void 0)]},void 0,!0)};var ii="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/app/App.tsx";const bme=()=>{const e=ci(),[t,r]=D.exports.useState(!1);return D.exports.useEffect(()=>{e(Npe()),r(!0)},[e]),t?k(bo,{children:[k(u2,{width:"100vw",height:"100vh",templateAreas:`
-                    "header header header header"
-                    "progressBar progressBar progressBar progressBar"
-                    "menu prompt processButtons imageRoll"
-                    "menu currentImage currentImage imageRoll"`,gridTemplateRows:"36px 10px 100px auto",gridTemplateColumns:"350px auto 100px 388px",gap:2,children:[k(Rf,{area:"header",pt:1,children:k(Ype,{},void 0,!1,{fileName:ii,lineNumber:40,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:39,columnNumber:9},void 0),k(Rf,{area:"progressBar",children:k(jpe,{},void 0,!1,{fileName:ii,lineNumber:43,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:42,columnNumber:9},void 0),k(Rf,{pl:"2",area:"menu",overflowY:"scroll",children:k(lme,{},void 0,!1,{fileName:ii,lineNumber:46,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:45,columnNumber:9},void 0),k(Rf,{area:"prompt",children:k(mme,{},void 0,!1,{fileName:ii,lineNumber:49,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:48,columnNumber:9},void 0),k(Rf,{area:"processButtons",children:k(pme,{},void 0,!1,{fileName:ii,lineNumber:52,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:51,columnNumber:9},void 0),k(Rf,{area:"currentImage",children:k(Ipe,{},void 0,!1,{fileName:ii,lineNumber:55,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:54,columnNumber:9},void 0),k(Rf,{pr:"2",area:"imageRoll",overflowY:"scroll",children:k(zpe,{},void 0,!1,{fileName:ii,lineNumber:58,columnNumber:11},void 0)},void 0,!1,{fileName:ii,lineNumber:57,columnNumber:9},void 0)]},void 0,!0,{fileName:ii,lineNumber:27,columnNumber:7},void 0),k(yme,{},void 0,!1,{fileName:ii,lineNumber:61,columnNumber:7},void 0)]},void 0,!0):k(FU,{},void 0,!1,{fileName:ii,lineNumber:64,columnNumber:5},void 0)};var Cp="/Users/spencer/Documents/Code/stable-diffusion/frontend/src/main.tsx";const ej=nfe(IU);DA.createRoot(document.getElementById("root")).render(k(Ue.StrictMode,{children:k(Pce,{store:IU,children:k(LU,{loading:k(FU,{},void 0,!1,{fileName:Cp,lineNumber:18,columnNumber:29},void 0),persistor:ej,children:k(Eue,{theme:t3,children:[k(rH,{initialColorMode:t3.config.initialColorMode},void 0,!1,{fileName:Cp,lineNumber:20,columnNumber:11},void 0),k(bme,{},void 0,!1,{fileName:Cp,lineNumber:21,columnNumber:11},void 0)]},void 0,!0,{fileName:Cp,lineNumber:19,columnNumber:9},void 0)},void 0,!1,{fileName:Cp,lineNumber:18,columnNumber:7},void 0)},void 0,!1,{fileName:Cp,lineNumber:17,columnNumber:5},void 0)},void 0,!1,{fileName:Cp,lineNumber:16,columnNumber:3},void 0));
diff --git a/frontend/dist/index.html b/frontend/dist/index.html
index 66adaec136..0ddbb7ae50 100644
--- a/frontend/dist/index.html
+++ b/frontend/dist/index.html
@@ -4,7 +4,7 @@
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>Stable Diffusion Dream Server</title>
-    <script type="module" crossorigin src="/assets/index.de730902.js"></script>
+    <script type="module" crossorigin src="/assets/index.727a397b.js"></script>
     <link rel="stylesheet" href="/assets/index.447eb2a9.css">
   </head>
   <body>
diff --git a/frontend/package.json b/frontend/package.json
index 6962f3547d..fce53f625f 100644
--- a/frontend/package.json
+++ b/frontend/package.json
@@ -1,7 +1,7 @@
 {
-  "name": "sdui",
+  "name": "invoke-ai-ui",
   "private": true,
-  "version": "0.0.0",
+  "version": "0.0.1",
   "type": "module",
   "scripts": {
     "dev": "vite dev",
@@ -10,6 +10,7 @@
     "preview": "vite preview"
   },
   "dependencies": {
+    "@chakra-ui/icons": "^2.0.10",
     "@chakra-ui/react": "^2.3.1",
     "@emotion/react": "^11.10.4",
     "@emotion/styled": "^11.10.4",
diff --git a/frontend/src/app/App.tsx b/frontend/src/app/App.tsx
index 4a161714ee..354d914b68 100644
--- a/frontend/src/app/App.tsx
+++ b/frontend/src/app/App.tsx
@@ -2,15 +2,15 @@ import { Grid, GridItem } from '@chakra-ui/react';
 import { useEffect, useState } from 'react';
 import CurrentImageDisplay from '../features/gallery/CurrentImageDisplay';
 import ImageGallery from '../features/gallery/ImageGallery';
-import ProgressBar from '../features/header/ProgressBar';
-import SiteHeader from '../features/header/SiteHeader';
-import OptionsAccordion from '../features/sd/OptionsAccordion';
-import ProcessButtons from '../features/sd/ProcessButtons';
-import PromptInput from '../features/sd/PromptInput';
+import ProgressBar from '../features/system/ProgressBar';
+import SiteHeader from '../features/system/SiteHeader';
+import OptionsAccordion from '../features/options/OptionsAccordion';
+import ProcessButtons from '../features/options/ProcessButtons';
+import PromptInput from '../features/options/PromptInput';
 import LogViewer from '../features/system/LogViewer';
 import Loading from '../Loading';
 import { useAppDispatch } from './store';
-import { requestAllImages } from './socketio/actions';
+import { requestAllImages, requestSystemConfig } from './socketio/actions';
 
 const App = () => {
   const dispatch = useAppDispatch();
@@ -19,6 +19,7 @@ const App = () => {
   // Load images from the gallery once
   useEffect(() => {
     dispatch(requestAllImages());
+    dispatch(requestSystemConfig());
     setIsReady(true);
   }, [dispatch]);
 
diff --git a/frontend/src/app/invokeai.d.ts b/frontend/src/app/invokeai.d.ts
new file mode 100644
index 0000000000..e32f9a0626
--- /dev/null
+++ b/frontend/src/app/invokeai.d.ts
@@ -0,0 +1,170 @@
+/**
+ * Types for images, the things they are made of, and the things
+ * they make up.
+ *
+ * Generated images are txt2img and img2img images. They may have
+ * had additional postprocessing done on them when they were first
+ * generated.
+ *
+ * Postprocessed images are images which were not generated here
+ * but only postprocessed by the app. They only get postprocessing
+ * metadata and have a different image type, e.g. 'esrgan' or
+ * 'gfpgan'.
+ */
+
+/**
+ * TODO:
+ * Once an image has been generated, if it is postprocessed again,
+ * additional postprocessing steps are added to its postprocessing
+ * array.
+ *
+ * TODO: Better documentation of types.
+ */
+
+export declare type PromptItem = {
+  prompt: string;
+  weight: number;
+};
+
+export declare type Prompt = Array<PromptItem>;
+
+export declare type SeedWeightPair = {
+  seed: number;
+  weight: number;
+};
+
+export declare type SeedWeights = Array<SeedWeightPair>;
+
+// All generated images contain these metadata.
+export declare type CommonGeneratedImageMetadata = {
+  postprocessing: null | Array<ESRGANMetadata | GFPGANMetadata>;
+  sampler:
+    | 'ddim'
+    | 'k_dpm_2_a'
+    | 'k_dpm_2'
+    | 'k_euler_a'
+    | 'k_euler'
+    | 'k_heun'
+    | 'k_lms'
+    | 'plms';
+  prompt: Prompt;
+  seed: number;
+  variations: SeedWeights;
+  steps: number;
+  cfg_scale: number;
+  width: number;
+  height: number;
+  seamless: boolean;
+  extra: null | Record<string, never>; // Pending development of RFC #266
+};
+
+// txt2img and img2img images have some unique attributes.
+export declare type Txt2ImgMetadata = GeneratedImageMetadata & {
+  type: 'txt2img';
+};
+
+export declare type Img2ImgMetadata = GeneratedImageMetadata & {
+  type: 'img2img';
+  orig_hash: string;
+  strength: number;
+  fit: boolean;
+  init_image_path: string;
+  mask_image_path?: string;
+};
+
+// Superset of  generated image metadata types.
+export declare type GeneratedImageMetadata = Txt2ImgMetadata | Img2ImgMetadata;
+
+// All post processed images contain these metadata.
+export declare type CommonPostProcessedImageMetadata = {
+  orig_path: string;
+  orig_hash: string;
+};
+
+// esrgan and gfpgan images have some unique attributes.
+export declare type ESRGANMetadata = CommonPostProcessedImageMetadata & {
+  type: 'esrgan';
+  scale: 2 | 4;
+  strength: number;
+};
+
+export declare type GFPGANMetadata = CommonPostProcessedImageMetadata & {
+  type: 'gfpgan';
+  strength: number;
+};
+
+// Superset of all postprocessed image metadata types..
+export declare type PostProcessedImageMetadata =
+  | ESRGANMetadata
+  | GFPGANMetadata;
+
+// Metadata includes the system config and image metadata.
+export declare type Metadata = SystemConfig & {
+  image: GeneratedImageMetadata | PostProcessedImageMetadata;
+};
+
+// An Image has a UUID, url (path?) and Metadata.
+export declare type Image = {
+  uuid: string;
+  url: string;
+  metadata: Metadata;
+};
+
+// GalleryImages is an array of Image.
+export declare type GalleryImages = {
+  images: Array<Image>;
+};
+
+/**
+ * Types related to the system status.
+ */
+
+// This represents the processing status of the backend.
+export declare type SystemStatus = {
+  isProcessing: boolean;
+  currentStep: number;
+  totalSteps: number;
+  currentIteration: number;
+  totalIterations: number;
+  currentStatus: string;
+  currentStatusHasSteps: boolean;
+};
+
+export declare type SystemConfig = {
+  model: string;
+  model_id: string;
+  model_hash: string;
+  app_id: string;
+  app_version: string;
+};
+
+/**
+ * These types type data received from the server via socketio.
+ */
+
+export declare type SystemStatusResponse = SystemStatus;
+
+export declare type SystemConfigResponse = SystemConfig;
+
+export declare type ImageResultResponse = {
+  url: string;
+  metadata: Metadata;
+};
+
+export declare type ErrorResponse = {
+  message: string;
+  additionalData?: string;
+};
+
+export declare type GalleryImagesResponse = {
+  images: Array<{ url: string; metadata: Metadata }>;
+};
+
+export declare type ImageUrlAndUuidResponse = {
+  uuid: string;
+  url: string;
+};
+
+export declare type ImageUrlResponse = {
+  url: string;
+};
diff --git a/frontend/src/app/socketio/actions.ts b/frontend/src/app/socketio/actions.ts
index 8e5559a251..1bb2b0acac 100644
--- a/frontend/src/app/socketio/actions.ts
+++ b/frontend/src/app/socketio/actions.ts
@@ -1,5 +1,5 @@
 import { createAction } from '@reduxjs/toolkit';
-import { SDImage } from '../../features/gallery/gallerySlice';
+import * as InvokeAI from '../invokeai';
 
 /**
  * We can't use redux-toolkit's createSlice() to make these actions,
@@ -9,9 +9,9 @@ import { SDImage } from '../../features/gallery/gallerySlice';
  */
 
 export const generateImage = createAction<undefined>('socketio/generateImage');
-export const runESRGAN = createAction<SDImage>('socketio/runESRGAN');
-export const runGFPGAN = createAction<SDImage>('socketio/runGFPGAN');
-export const deleteImage = createAction<SDImage>('socketio/deleteImage');
+export const runESRGAN = createAction<InvokeAI.Image>('socketio/runESRGAN');
+export const runGFPGAN = createAction<InvokeAI.Image>('socketio/runGFPGAN');
+export const deleteImage = createAction<InvokeAI.Image>('socketio/deleteImage');
 export const requestAllImages = createAction<undefined>(
   'socketio/requestAllImages'
 );
@@ -22,3 +22,5 @@ export const uploadInitialImage = createAction<File>(
   'socketio/uploadInitialImage'
 );
 export const uploadMaskImage = createAction<File>('socketio/uploadMaskImage');
+
+export const requestSystemConfig = createAction<undefined>('socketio/requestSystemConfig');
diff --git a/frontend/src/app/socketio/emitters.ts b/frontend/src/app/socketio/emitters.ts
index 1a198837fa..64b2d8e659 100644
--- a/frontend/src/app/socketio/emitters.ts
+++ b/frontend/src/app/socketio/emitters.ts
@@ -2,11 +2,11 @@ import { AnyAction, Dispatch, MiddlewareAPI } from '@reduxjs/toolkit';
 import dateFormat from 'dateformat';
 import { Socket } from 'socket.io-client';
 import { frontendToBackendParameters } from '../../common/util/parameterTranslation';
-import { SDImage } from '../../features/gallery/gallerySlice';
 import {
   addLogEntry,
   setIsProcessing,
 } from '../../features/system/systemSlice';
+import * as InvokeAI from '../invokeai';
 
 /**
  * Returns an object containing all functions which use `socketio.emit()`.
@@ -24,7 +24,7 @@ const makeSocketIOEmitters = (
       dispatch(setIsProcessing(true));
 
       const { generationParameters, esrganParameters, gfpganParameters } =
-        frontendToBackendParameters(getState().sd, getState().system);
+        frontendToBackendParameters(getState().options, getState().system);
 
       socketio.emit(
         'generateImage',
@@ -44,9 +44,9 @@ const makeSocketIOEmitters = (
         })
       );
     },
-    emitRunESRGAN: (imageToProcess: SDImage) => {
+    emitRunESRGAN: (imageToProcess: InvokeAI.Image) => {
       dispatch(setIsProcessing(true));
-      const { upscalingLevel, upscalingStrength } = getState().sd;
+      const { upscalingLevel, upscalingStrength } = getState().options;
       const esrganParameters = {
         upscale: [upscalingLevel, upscalingStrength],
       };
@@ -61,9 +61,9 @@ const makeSocketIOEmitters = (
         })
       );
     },
-    emitRunGFPGAN: (imageToProcess: SDImage) => {
+    emitRunGFPGAN: (imageToProcess: InvokeAI.Image) => {
       dispatch(setIsProcessing(true));
-      const { gfpganStrength } = getState().sd;
+      const { gfpganStrength } = getState().options;
 
       const gfpganParameters = {
         gfpgan_strength: gfpganStrength,
@@ -79,7 +79,7 @@ const makeSocketIOEmitters = (
         })
       );
     },
-    emitDeleteImage: (imageToDelete: SDImage) => {
+    emitDeleteImage: (imageToDelete: InvokeAI.Image) => {
       const { url, uuid } = imageToDelete;
       socketio.emit('deleteImage', url, uuid);
     },
@@ -95,6 +95,9 @@ const makeSocketIOEmitters = (
     emitUploadMaskImage: (file: File) => {
       socketio.emit('uploadMaskImage', file, file.name);
     },
+    emitRequestSystemConfig: () => {
+      socketio.emit('requestSystemConfig')
+    }
   };
 };
 
diff --git a/frontend/src/app/socketio/listeners.ts b/frontend/src/app/socketio/listeners.ts
index df0982f34f..c03317b9b9 100644
--- a/frontend/src/app/socketio/listeners.ts
+++ b/frontend/src/app/socketio/listeners.ts
@@ -2,38 +2,29 @@ import { AnyAction, MiddlewareAPI, Dispatch } from '@reduxjs/toolkit';
 import { v4 as uuidv4 } from 'uuid';
 import dateFormat from 'dateformat';
 
+import * as InvokeAI from '../invokeai';
+
 import {
   addLogEntry,
   setIsConnected,
   setIsProcessing,
-  SystemStatus,
   setSystemStatus,
   setCurrentStatus,
+  setSystemConfig,
 } from '../../features/system/systemSlice';
 
-import type {
-  ServerGenerationResult,
-  ServerESRGANResult,
-  ServerGFPGANResult,
-  ServerIntermediateResult,
-  ServerError,
-  ServerGalleryImages,
-  ServerImageUrlAndUuid,
-  ServerImageUrl,
-} from './types';
-
-import { backendToFrontendParameters } from '../../common/util/parameterTranslation';
-
 import {
   addImage,
   clearIntermediateImage,
   removeImage,
-  SDImage,
   setGalleryImages,
   setIntermediateImage,
 } from '../../features/gallery/gallerySlice';
 
-import { setInitialImagePath, setMaskPath } from '../../features/sd/sdSlice';
+import {
+  setInitialImagePath,
+  setMaskPath,
+} from '../../features/options/optionsSlice';
 
 /**
  * Returns an object containing listener callbacks for socketio events.
@@ -79,18 +70,16 @@ const makeSocketIOListeners = (
     /**
      * Callback to run when we receive a 'generationResult' event.
      */
-    onGenerationResult: (data: ServerGenerationResult) => {
+    onGenerationResult: (data: InvokeAI.ImageResultResponse) => {
       try {
         const { url, metadata } = data;
         const newUuid = uuidv4();
 
-        const translatedMetadata = backendToFrontendParameters(metadata);
-
         dispatch(
           addImage({
             uuid: newUuid,
             url,
-            metadata: translatedMetadata,
+            metadata: metadata,
           })
         );
         dispatch(
@@ -107,7 +96,7 @@ const makeSocketIOListeners = (
     /**
      * Callback to run when we receive a 'intermediateResult' event.
      */
-    onIntermediateResult: (data: ServerIntermediateResult) => {
+    onIntermediateResult: (data: InvokeAI.ImageResultResponse) => {
       try {
         const uuid = uuidv4();
         const { url, metadata } = data;
@@ -132,31 +121,15 @@ const makeSocketIOListeners = (
     /**
      * Callback to run when we receive an 'esrganResult' event.
      */
-    onESRGANResult: (data: ServerESRGANResult) => {
+    onESRGANResult: (data: InvokeAI.ImageResultResponse) => {
       try {
-        const { url, uuid, metadata } = data;
-        const newUuid = uuidv4();
-
-        // This image was only ESRGAN'd, grab the original image's metadata
-        const originalImage = getState().gallery.images.find(
-          (i: SDImage) => i.uuid === uuid
-        );
-
-        // Retain the original metadata
-        const newMetadata = {
-          ...originalImage.metadata,
-        };
-
-        // Update the ESRGAN-related fields
-        newMetadata.shouldRunESRGAN = true;
-        newMetadata.upscalingLevel = metadata.upscale[0];
-        newMetadata.upscalingStrength = metadata.upscale[1];
+        const { url, metadata } = data;
 
         dispatch(
           addImage({
-            uuid: newUuid,
+            uuid: uuidv4(),
             url,
-            metadata: newMetadata,
+            metadata,
           })
         );
 
@@ -174,30 +147,15 @@ const makeSocketIOListeners = (
     /**
      * Callback to run when we receive a 'gfpganResult' event.
      */
-    onGFPGANResult: (data: ServerGFPGANResult) => {
+    onGFPGANResult: (data: InvokeAI.ImageResultResponse) => {
       try {
-        const { url, uuid, metadata } = data;
-        const newUuid = uuidv4();
-
-        // This image was only GFPGAN'd, grab the original image's metadata
-        const originalImage = getState().gallery.images.find(
-          (i: SDImage) => i.uuid === uuid
-        );
-
-        // Retain the original metadata
-        const newMetadata = {
-          ...originalImage.metadata,
-        };
-
-        // Update the GFPGAN-related fields
-        newMetadata.shouldRunGFPGAN = true;
-        newMetadata.gfpganStrength = metadata.gfpgan_strength;
+        const { url, metadata } = data;
 
         dispatch(
           addImage({
-            uuid: newUuid,
+            uuid: uuidv4(),
             url,
-            metadata: newMetadata,
+            metadata,
           })
         );
 
@@ -215,7 +173,7 @@ const makeSocketIOListeners = (
      * Callback to run when we receive a 'progressUpdate' event.
      * TODO: Add additional progress phases
      */
-    onProgressUpdate: (data: SystemStatus) => {
+    onProgressUpdate: (data: InvokeAI.SystemStatus) => {
       try {
         dispatch(setIsProcessing(true));
         dispatch(setSystemStatus(data));
@@ -226,7 +184,7 @@ const makeSocketIOListeners = (
     /**
      * Callback to run when we receive a 'progressUpdate' event.
      */
-    onError: (data: ServerError) => {
+    onError: (data: InvokeAI.ErrorResponse) => {
       const { message, additionalData } = data;
 
       if (additionalData) {
@@ -250,13 +208,14 @@ const makeSocketIOListeners = (
     /**
      * Callback to run when we receive a 'galleryImages' event.
      */
-    onGalleryImages: (data: ServerGalleryImages) => {
+    onGalleryImages: (data: InvokeAI.GalleryImagesResponse) => {
       const { images } = data;
-      const preparedImages = images.map((image): SDImage => {
+      const preparedImages = images.map((image): InvokeAI.Image => {
+        const { url, metadata } = image;
         return {
           uuid: uuidv4(),
-          url: image.path,
-          metadata: backendToFrontendParameters(image.metadata),
+          url,
+          metadata,
         };
       });
       dispatch(setGalleryImages(preparedImages));
@@ -296,7 +255,7 @@ const makeSocketIOListeners = (
     /**
      * Callback to run when we receive a 'imageDeleted' event.
      */
-    onImageDeleted: (data: ServerImageUrlAndUuid) => {
+    onImageDeleted: (data: InvokeAI.ImageUrlAndUuidResponse) => {
       const { url, uuid } = data;
       dispatch(removeImage(uuid));
       dispatch(
@@ -309,7 +268,7 @@ const makeSocketIOListeners = (
     /**
      * Callback to run when we receive a 'initialImageUploaded' event.
      */
-    onInitialImageUploaded: (data: ServerImageUrl) => {
+    onInitialImageUploaded: (data: InvokeAI.ImageUrlResponse) => {
       const { url } = data;
       dispatch(setInitialImagePath(url));
       dispatch(
@@ -322,7 +281,7 @@ const makeSocketIOListeners = (
     /**
      * Callback to run when we receive a 'maskImageUploaded' event.
      */
-    onMaskImageUploaded: (data: ServerImageUrl) => {
+    onMaskImageUploaded: (data: InvokeAI.ImageUrlResponse) => {
       const { url } = data;
       dispatch(setMaskPath(url));
       dispatch(
@@ -332,6 +291,9 @@ const makeSocketIOListeners = (
         })
       );
     },
+    onSystemConfig: (data: InvokeAI.SystemConfig) => {
+      dispatch(setSystemConfig(data));
+    },
   };
 };
 
diff --git a/frontend/src/app/socketio/middleware.ts b/frontend/src/app/socketio/middleware.ts
index 89844c27c2..e358449b3b 100644
--- a/frontend/src/app/socketio/middleware.ts
+++ b/frontend/src/app/socketio/middleware.ts
@@ -4,18 +4,23 @@ import { io } from 'socket.io-client';
 import makeSocketIOListeners from './listeners';
 import makeSocketIOEmitters from './emitters';
 
-import type {
-  ServerGenerationResult,
-  ServerESRGANResult,
-  ServerGFPGANResult,
-  ServerIntermediateResult,
-  ServerError,
-  ServerGalleryImages,
-  ServerImageUrlAndUuid,
-  ServerImageUrl,
-} from './types';
-import { SystemStatus } from '../../features/system/systemSlice';
+import * as InvokeAI from '../invokeai';
 
+/**
+ * Creates a socketio middleware to handle communication with server.
+ *
+ * Special `socketio/actionName` actions are created in actions.ts and
+ * exported for use by the application, which treats them like any old
+ * action, using `dispatch` to dispatch them.
+ *
+ * These actions are intercepted here, where `socketio.emit()` calls are
+ * made on their behalf - see `emitters.ts`. The emitter functions
+ * are the outbound communication to the server.
+ *
+ * Listeners are also established here - see `listeners.ts`. The listener
+ * functions receive communication from the server and usually dispatch
+ * some new action to handle whatever data was sent from the server.
+ */
 export const socketioMiddleware = () => {
   const { hostname, port } = new URL(window.location.href);
 
@@ -38,6 +43,7 @@ export const socketioMiddleware = () => {
       onImageDeleted,
       onInitialImageUploaded,
       onMaskImageUploaded,
+      onSystemConfig,
     } = makeSocketIOListeners(store);
 
     const {
@@ -49,6 +55,7 @@ export const socketioMiddleware = () => {
       emitCancelProcessing,
       emitUploadInitialImage,
       emitUploadMaskImage,
+      emitRequestSystemConfig,
     } = makeSocketIOEmitters(store, socketio);
 
     /**
@@ -60,29 +67,29 @@ export const socketioMiddleware = () => {
 
       socketio.on('disconnect', () => onDisconnect());
 
-      socketio.on('error', (data: ServerError) => onError(data));
+      socketio.on('error', (data: InvokeAI.ErrorResponse) => onError(data));
 
-      socketio.on('generationResult', (data: ServerGenerationResult) =>
+      socketio.on('generationResult', (data: InvokeAI.ImageResultResponse) =>
         onGenerationResult(data)
       );
 
-      socketio.on('esrganResult', (data: ServerESRGANResult) =>
+      socketio.on('esrganResult', (data: InvokeAI.ImageResultResponse) =>
         onESRGANResult(data)
       );
 
-      socketio.on('gfpganResult', (data: ServerGFPGANResult) =>
+      socketio.on('gfpganResult', (data: InvokeAI.ImageResultResponse) =>
         onGFPGANResult(data)
       );
 
-      socketio.on('intermediateResult', (data: ServerIntermediateResult) =>
+      socketio.on('intermediateResult', (data: InvokeAI.ImageResultResponse) =>
         onIntermediateResult(data)
       );
 
-      socketio.on('progressUpdate', (data: SystemStatus) =>
+      socketio.on('progressUpdate', (data: InvokeAI.SystemStatus) =>
         onProgressUpdate(data)
       );
 
-      socketio.on('galleryImages', (data: ServerGalleryImages) =>
+      socketio.on('galleryImages', (data: InvokeAI.GalleryImagesResponse) =>
         onGalleryImages(data)
       );
 
@@ -90,18 +97,22 @@ export const socketioMiddleware = () => {
         onProcessingCanceled();
       });
 
-      socketio.on('imageDeleted', (data: ServerImageUrlAndUuid) => {
+      socketio.on('imageDeleted', (data: InvokeAI.ImageUrlAndUuidResponse) => {
         onImageDeleted(data);
       });
 
-      socketio.on('initialImageUploaded', (data: ServerImageUrl) => {
+      socketio.on('initialImageUploaded', (data: InvokeAI.ImageUrlResponse) => {
         onInitialImageUploaded(data);
       });
 
-      socketio.on('maskImageUploaded', (data: ServerImageUrl) => {
+      socketio.on('maskImageUploaded', (data: InvokeAI.ImageUrlResponse) => {
         onMaskImageUploaded(data);
       });
 
+      socketio.on('systemConfig', (data: InvokeAI.SystemConfig) => {
+        onSystemConfig(data);
+      });
+
       areListenersSet = true;
     }
 
@@ -148,6 +159,11 @@ export const socketioMiddleware = () => {
         emitUploadMaskImage(action.payload);
         break;
       }
+
+      case 'socketio/requestSystemConfig': {
+        emitRequestSystemConfig();
+        break;
+      }
     }
 
     next(action);
diff --git a/frontend/src/app/socketio/types.d.ts b/frontend/src/app/socketio/types.d.ts
deleted file mode 100644
index 01796530eb..0000000000
--- a/frontend/src/app/socketio/types.d.ts
+++ /dev/null
@@ -1,46 +0,0 @@
-/**
- * Interfaces used by the socketio middleware.
- */
-
-export declare interface ServerGenerationResult {
-  url: string;
-  metadata: { [key: string]: any };
-}
-
-export declare interface ServerESRGANResult {
-  url: string;
-  uuid: string;
-  metadata: { [key: string]: any };
-}
-
-export declare interface ServerGFPGANResult {
-  url: string;
-  uuid: string;
-  metadata: { [key: string]: any };
-}
-
-export declare interface ServerIntermediateResult {
-  url: string;
-  metadata: { [key: string]: any };
-}
-
-export declare interface ServerError {
-  message: string;
-  additionalData?: string;
-}
-
-export declare interface ServerGalleryImages {
-  images: Array<{
-    path: string;
-    metadata: { [key: string]: any };
-  }>;
-}
-
-export declare interface ServerImageUrlAndUuid {
-  uuid: string;
-  url: string;
-}
-
-export declare interface ServerImageUrl {
-  url: string;
-}
diff --git a/frontend/src/app/store.ts b/frontend/src/app/store.ts
index 1e00b0cf14..e4c583ee53 100644
--- a/frontend/src/app/store.ts
+++ b/frontend/src/app/store.ts
@@ -5,7 +5,7 @@ import type { TypedUseSelectorHook } from 'react-redux';
 import { persistReducer } from 'redux-persist';
 import storage from 'redux-persist/lib/storage'; // defaults to localStorage for web
 
-import sdReducer from '../features/sd/sdSlice';
+import optionsReducer from '../features/options/optionsSlice';
 import galleryReducer from '../features/gallery/gallerySlice';
 import systemReducer from '../features/system/systemSlice';
 import { socketioMiddleware } from './socketio/middleware';
@@ -53,7 +53,7 @@ const systemPersistConfig = {
 };
 
 const reducers = combineReducers({
-  sd: sdReducer,
+  options: optionsReducer,
   gallery: galleryReducer,
   system: persistReducer(systemPersistConfig, systemReducer),
 });
diff --git a/frontend/src/app/theme.ts b/frontend/src/app/theme.ts
index 9dfff221a6..06b28a66ac 100644
--- a/frontend/src/app/theme.ts
+++ b/frontend/src/app/theme.ts
@@ -33,5 +33,20 @@ export const theme = extendTheme({
         fontWeight: 'light',
       },
     },
+    Button: {
+      variants: {
+        imageHoverIconButton: (props: StyleFunctionProps) => ({
+          bg: props.colorMode === 'dark' ? 'blackAlpha.700' : 'whiteAlpha.800',
+          color:
+            props.colorMode === 'dark' ? 'whiteAlpha.700' : 'blackAlpha.700',
+          _hover: {
+            bg:
+              props.colorMode === 'dark' ? 'blackAlpha.800' : 'whiteAlpha.800',
+            color:
+              props.colorMode === 'dark' ? 'whiteAlpha.900' : 'blackAlpha.900',
+          },
+        }),
+      },
+    },
   },
 });
diff --git a/frontend/src/app/wip_types.ts b/frontend/src/app/wip_types.ts
deleted file mode 100644
index bc710404bf..0000000000
--- a/frontend/src/app/wip_types.ts
+++ /dev/null
@@ -1,171 +0,0 @@
-
-/**
- * Defines common parameters required to generate an image.
- * See #266 for the eventual maturation of this interface.
- */
-interface CommonParameters {
-  /**
-   * The "txt2img" prompt. String. Minimum one character. No maximum.
-   */
-  prompt: string;
-  /**
-   * The number of sampler steps. Integer. Minimum value 1. No maximum.
-   */
-  steps: number;
-  /**
-   * Classifier-free guidance scale. Float. Minimum value 0. Maximum?
-   */
-  cfgScale: number;
-  /**
-   * Height of output image in pixels. Integer. Minimum 64. Must be multiple of 64. No maximum.
-   */
-  height: number;
-  /**
-   * Width of output image in pixels. Integer. Minimum 64. Must be multiple of 64. No maximum.
-   */
-  width: number;
-  /**
-   * Name of the sampler to use. String. Restricted values.
-   */
-  sampler:
-    | 'ddim'
-    | 'plms'
-    | 'k_lms'
-    | 'k_dpm_2'
-    | 'k_dpm_2_a'
-    | 'k_euler'
-    | 'k_euler_a'
-    | 'k_heun';
-  /**
-   * Seed used for randomness. Integer. 0 --> 4294967295, inclusive.
-   */
-  seed: number;
-  /**
-   * Flag to enable seamless tiling image generation. Boolean.
-   */
-  seamless: boolean;
-}
-
-/**
- * Defines parameters needed to use the "img2img" generation method.
- */
-interface ImageToImageParameters {
-  /**
-   * Folder path to the image used as the initial image. String.
-   */
-  initialImagePath: string;
-  /**
-   * Flag to enable the use of a mask image during "img2img" generations.
-   * Requires valid ImageToImageParameters. Boolean.
-   */
-  shouldUseMaskImage: boolean;
-  /**
-   * Folder path to the image used as a mask image. String.
-   */
-  maskImagePath: string;
-  /**
-   * Strength of adherance to initial image. Float. 0 --> 1, exclusive.
-   */
-  img2imgStrength: number;
-  /**
-   * Flag to enable the stretching of init image to desired output. Boolean.
-   */
-  shouldFit: boolean;
-}
-
-/**
- * Defines the parameters needed to generate variations.
- */
-interface VariationParameters {
-  /**
-   * Variation amount. Float. 0 --> 1, exclusive.
-   * TODO: What does this really do?
-   */
-  variationAmount: number;
-  /**
-   * List of seed-weight pairs formatted as "seed:weight,...".
-   * Seed is a valid seed. Weight is a float, 0 --> 1, exclusive.
-   * String, must be parseable into [[seed,weight],...] format.
-   */
-  seedWeights: string;
-}
-
-/**
- * Defines the parameters needed to use GFPGAN postprocessing.
- */
-interface GFPGANParameters {
-  /**
-   * GFPGAN strength. Strength to apply face-fixing processing. Float. 0 --> 1, exclusive.
-   */
-  gfpganStrength: number;
-}
-
-/**
- * Defines the parameters needed to use ESRGAN postprocessing.
- */
-interface ESRGANParameters {
-  /**
-   * ESRGAN strength. Strength to apply upscaling. Float. 0 --> 1, exclusive.
-   */
-  esrganStrength: number;
-  /**
-   * ESRGAN upscaling scale. One of 2x | 4x. Represented as integer.
-   */
-  esrganScale: 2 | 4;
-}
-
-/**
- * Extends the generation and processing method parameters, adding flags to enable each.
- */
-interface ProcessingParameters extends CommonParameters {
-  /**
-   * Flag to enable the generation of variations. Requires valid VariationParameters. Boolean.
-   */
-  shouldGenerateVariations: boolean;
-  /**
-   * Variation parameters.
-   */
-  variationParameters: VariationParameters;
-  /**
-   * Flag to enable the use of an initial image, i.e. to use "img2img" generation.
-   * Requires valid ImageToImageParameters. Boolean.
-   */
-  shouldUseImageToImage: boolean;
-  /**
-   * ImageToImage parameters.
-   */
-  imageToImageParameters: ImageToImageParameters;
-  /**
-   * Flag to enable GFPGAN postprocessing. Requires valid GFPGANParameters. Boolean.
-   */
-  shouldRunGFPGAN: boolean;
-  /**
-   * GFPGAN parameters.
-   */
-  gfpganParameters: GFPGANParameters;
-  /**
-   * Flag to enable ESRGAN postprocessing. Requires valid ESRGANParameters. Boolean.
-   */
-  shouldRunESRGAN: boolean;
-  /**
-   * ESRGAN parameters.
-   */
-  esrganParameters: GFPGANParameters;
-}
-
-/**
- * Extends ProcessingParameters, adding items needed to request processing.
- */
-interface ProcessingState extends ProcessingParameters {
-  /**
-   * Number of images to generate. Integer. Minimum 1.
-   */
-  iterations: number;
-  /**
-   * Flag to enable the randomization of the seed on each generation. Boolean.
-   */
-  shouldRandomizeSeed: boolean;
-}
-
-
-export {}
diff --git a/frontend/src/common/hooks/useCheckParameters.ts b/frontend/src/common/hooks/useCheckParameters.ts
index 4631b8c442..7bc87dd0af 100644
--- a/frontend/src/common/hooks/useCheckParameters.ts
+++ b/frontend/src/common/hooks/useCheckParameters.ts
@@ -3,20 +3,20 @@ import { isEqual } from 'lodash';
 import { useMemo } from 'react';
 import { useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
-import { SDState } from '../../features/sd/sdSlice';
+import { OptionsState } from '../../features/options/optionsSlice';
 import { SystemState } from '../../features/system/systemSlice';
 import { validateSeedWeights } from '../util/seedWeightPairs';
 
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
+const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
     return {
-      prompt: sd.prompt,
-      shouldGenerateVariations: sd.shouldGenerateVariations,
-      seedWeights: sd.seedWeights,
-      maskPath: sd.maskPath,
-      initialImagePath: sd.initialImagePath,
-      seed: sd.seed,
+      prompt: options.prompt,
+      shouldGenerateVariations: options.shouldGenerateVariations,
+      seedWeights: options.seedWeights,
+      maskPath: options.maskPath,
+      initialImagePath: options.initialImagePath,
+      seed: options.seed,
     };
   },
   {
@@ -53,7 +53,7 @@ const useCheckParameters = (): boolean => {
     maskPath,
     initialImagePath,
     seed,
-  } = useAppSelector(sdSelector);
+  } = useAppSelector(optionsSelector);
 
   const { isProcessing, isConnected } = useAppSelector(systemSelector);
 
diff --git a/frontend/src/common/util/parameterTranslation.ts b/frontend/src/common/util/parameterTranslation.ts
index 485c10ff36..52ecfbc9b6 100644
--- a/frontend/src/common/util/parameterTranslation.ts
+++ b/frontend/src/common/util/parameterTranslation.ts
@@ -1,180 +1,182 @@
-
 /*
     These functions translate frontend state into parameters
     suitable for consumption by the backend, and vice-versa.
 */
 
-import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from "../../app/constants";
-import { SDState } from "../../features/sd/sdSlice";
-import { SystemState } from "../../features/system/systemSlice";
-import randomInt from "./randomInt";
-import { seedWeightsToString, stringToSeedWeights } from "./seedWeightPairs";
+import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from '../../app/constants';
+import { OptionsState } from '../../features/options/optionsSlice';
+import { SystemState } from '../../features/system/systemSlice';
+import {
+  seedWeightsToString,
+  stringToSeedWeightsArray,
+} from './seedWeightPairs';
+import randomInt from './randomInt';
 
 export const frontendToBackendParameters = (
-    sdState: SDState,
-    systemState: SystemState
+  optionsState: OptionsState,
+  systemState: SystemState
 ): { [key: string]: any } => {
-    const {
-        prompt,
-        iterations,
-        steps,
-        cfgScale,
-        height,
-        width,
-        sampler,
-        seed,
-        seamless,
-        shouldUseInitImage,
-        img2imgStrength,
-        initialImagePath,
-        maskPath,
-        shouldFitToWidthHeight,
-        shouldGenerateVariations,
-        variationAmount,
-        seedWeights,
-        shouldRunESRGAN,
-        upscalingLevel,
-        upscalingStrength,
-        shouldRunGFPGAN,
-        gfpganStrength,
-        shouldRandomizeSeed,
-    } = sdState;
+  const {
+    prompt,
+    iterations,
+    steps,
+    cfgScale,
+    height,
+    width,
+    sampler,
+    seed,
+    seamless,
+    shouldUseInitImage,
+    img2imgStrength,
+    initialImagePath,
+    maskPath,
+    shouldFitToWidthHeight,
+    shouldGenerateVariations,
+    variationAmount,
+    seedWeights,
+    shouldRunESRGAN,
+    upscalingLevel,
+    upscalingStrength,
+    shouldRunGFPGAN,
+    gfpganStrength,
+    shouldRandomizeSeed,
+  } = optionsState;
 
-    const { shouldDisplayInProgress } = systemState;
+  const { shouldDisplayInProgress } = systemState;
 
-    const generationParameters: { [k: string]: any } = {
-        prompt,
-        iterations,
-        steps,
-        cfg_scale: cfgScale,
-        height,
-        width,
-        sampler_name: sampler,
-        seed,
-        seamless,
-        progress_images: shouldDisplayInProgress,
+  const generationParameters: { [k: string]: any } = {
+    prompt,
+    iterations,
+    steps,
+    cfg_scale: cfgScale,
+    height,
+    width,
+    sampler_name: sampler,
+    seed,
+    seamless,
+    progress_images: shouldDisplayInProgress,
+  };
+
+  generationParameters.seed = shouldRandomizeSeed
+    ? randomInt(NUMPY_RAND_MIN, NUMPY_RAND_MAX)
+    : seed;
+
+  if (shouldUseInitImage) {
+    generationParameters.init_img = initialImagePath;
+    generationParameters.strength = img2imgStrength;
+    generationParameters.fit = shouldFitToWidthHeight;
+    if (maskPath) {
+      generationParameters.init_mask = maskPath;
+    }
+  }
+
+  if (shouldGenerateVariations) {
+    generationParameters.variation_amount = variationAmount;
+    if (seedWeights) {
+      generationParameters.with_variations =
+        stringToSeedWeightsArray(seedWeights);
+    }
+  } else {
+    generationParameters.variation_amount = 0;
+  }
+
+  let esrganParameters: false | { [k: string]: any } = false;
+  let gfpganParameters: false | { [k: string]: any } = false;
+
+  if (shouldRunESRGAN) {
+    esrganParameters = {
+      level: upscalingLevel,
+      strength: upscalingStrength,
     };
+  }
 
-    generationParameters.seed = shouldRandomizeSeed
-        ? randomInt(NUMPY_RAND_MIN, NUMPY_RAND_MAX)
-        : seed;
-
-    if (shouldUseInitImage) {
-        generationParameters.init_img = initialImagePath;
-        generationParameters.strength = img2imgStrength;
-        generationParameters.fit = shouldFitToWidthHeight;
-        if (maskPath) {
-            generationParameters.init_mask = maskPath;
-        }
-    }
-
-    if (shouldGenerateVariations) {
-        generationParameters.variation_amount = variationAmount;
-        if (seedWeights) {
-            generationParameters.with_variations =
-                stringToSeedWeights(seedWeights);
-        }
-    } else {
-        generationParameters.variation_amount = 0;
-    }
-
-    let esrganParameters: false | { [k: string]: any } = false;
-    let gfpganParameters: false | { [k: string]: any } = false;
-
-    if (shouldRunESRGAN) {
-        esrganParameters = {
-            level: upscalingLevel,
-            strength: upscalingStrength,
-        };
-    }
-
-    if (shouldRunGFPGAN) {
-        gfpganParameters = {
-            strength: gfpganStrength,
-        };
-    }
-
-    return {
-        generationParameters,
-        esrganParameters,
-        gfpganParameters,
+  if (shouldRunGFPGAN) {
+    gfpganParameters = {
+      strength: gfpganStrength,
     };
+  }
+
+  return {
+    generationParameters,
+    esrganParameters,
+    gfpganParameters,
+  };
 };
 
 export const backendToFrontendParameters = (parameters: {
-    [key: string]: any;
+  [key: string]: any;
 }) => {
-    const {
-        prompt,
-        iterations,
-        steps,
-        cfg_scale,
-        height,
-        width,
-        sampler_name,
-        seed,
-        seamless,
-        progress_images,
-        variation_amount,
-        with_variations,
-        gfpgan_strength,
-        upscale,
-        init_img,
-        init_mask,
-        strength,
-    } = parameters;
+  const {
+    prompt,
+    iterations,
+    steps,
+    cfg_scale,
+    height,
+    width,
+    sampler_name,
+    seed,
+    seamless,
+    progress_images,
+    variation_amount,
+    with_variations,
+    gfpgan_strength,
+    upscale,
+    init_img,
+    init_mask,
+    strength,
+  } = parameters;
 
-    const sd: { [key: string]: any } = {
-        shouldDisplayInProgress: progress_images,
-        // init
-        shouldGenerateVariations: false,
-        shouldRunESRGAN: false,
-        shouldRunGFPGAN: false,
-        initialImagePath: '',
-        maskPath: '',
-    };
+  const options: { [key: string]: any } = {
+    shouldDisplayInProgress: progress_images,
+    // init
+    shouldGenerateVariations: false,
+    shouldRunESRGAN: false,
+    shouldRunGFPGAN: false,
+    initialImagePath: '',
+    maskPath: '',
+  };
 
-    if (variation_amount > 0) {
-        sd.shouldGenerateVariations = true;
-        sd.variationAmount = variation_amount;
-        if (with_variations) {
-            sd.seedWeights = seedWeightsToString(with_variations);
-        }
+  if (variation_amount > 0) {
+    options.shouldGenerateVariations = true;
+    options.variationAmount = variation_amount;
+    if (with_variations) {
+      options.seedWeights = seedWeightsToString(with_variations);
     }
+  }
 
-    if (gfpgan_strength > 0) {
-        sd.shouldRunGFPGAN = true;
-        sd.gfpganStrength = gfpgan_strength;
+  if (gfpgan_strength > 0) {
+    options.shouldRunGFPGAN = true;
+    options.gfpganStrength = gfpgan_strength;
+  }
+
+  if (upscale) {
+    options.shouldRunESRGAN = true;
+    options.upscalingLevel = upscale[0];
+    options.upscalingStrength = upscale[1];
+  }
+
+  if (init_img) {
+    options.shouldUseInitImage = true;
+    options.initialImagePath = init_img;
+    options.strength = strength;
+    if (init_mask) {
+      options.maskPath = init_mask;
     }
+  }
 
-    if (upscale) {
-        sd.shouldRunESRGAN = true;
-        sd.upscalingLevel = upscale[0];
-        sd.upscalingStrength = upscale[1];
-    }
+  // if we had a prompt, add all the metadata, but if we don't have a prompt,
+  // we must have only done ESRGAN or GFPGAN so do not add that metadata
+  if (prompt) {
+    options.prompt = prompt;
+    options.iterations = iterations;
+    options.steps = steps;
+    options.cfgScale = cfg_scale;
+    options.height = height;
+    options.width = width;
+    options.sampler = sampler_name;
+    options.seed = seed;
+    options.seamless = seamless;
+  }
 
-    if (init_img) {
-        sd.shouldUseInitImage = true
-        sd.initialImagePath = init_img;
-        sd.strength = strength;
-        if (init_mask) {
-            sd.maskPath = init_mask;
-        }
-    }
-
-    // if we had a prompt, add all the metadata, but if we don't have a prompt,
-    // we must have only done ESRGAN or GFPGAN so do not add that metadata
-    if (prompt) {
-        sd.prompt = prompt;
-        sd.iterations = iterations;
-        sd.steps = steps;
-        sd.cfgScale = cfg_scale;
-        sd.height = height;
-        sd.width = width;
-        sd.sampler = sampler_name;
-        sd.seed = seed;
-        sd.seamless = seamless;
-    }
-
-    return sd;
+  return options;
 };
diff --git a/frontend/src/common/util/promptToString.ts b/frontend/src/common/util/promptToString.ts
new file mode 100644
index 0000000000..d84a24acf8
--- /dev/null
+++ b/frontend/src/common/util/promptToString.ts
@@ -0,0 +1,16 @@
+import * as InvokeAI from '../../app/invokeai';
+
+const promptToString = (prompt: InvokeAI.Prompt): string => {
+  if (prompt.length === 1) {
+    return prompt[0].prompt;
+  }
+
+  return prompt
+    .map(
+      (promptItem: InvokeAI.PromptItem): string =>
+        `${promptItem.prompt}:${promptItem.weight}`
+    )
+    .join(' ');
+};
+
+export default promptToString;
diff --git a/frontend/src/common/util/seedWeightPairs.ts b/frontend/src/common/util/seedWeightPairs.ts
index 12bed0f175..0bdb287554 100644
--- a/frontend/src/common/util/seedWeightPairs.ts
+++ b/frontend/src/common/util/seedWeightPairs.ts
@@ -1,56 +1,68 @@
-export interface SeedWeightPair {
-    seed: number;
-    weight: number;
-}
+import * as InvokeAI from '../../app/invokeai';
 
-export type SeedWeights = Array<Array<number>>;
+export const stringToSeedWeights = (
+  string: string
+): InvokeAI.SeedWeights | boolean => {
+  const stringPairs = string.split(',');
+  const arrPairs = stringPairs.map((p) => p.split(':'));
+  const pairs = arrPairs.map((p: Array<string>): InvokeAI.SeedWeightPair => {
+    return { seed: parseInt(p[0]), weight: parseFloat(p[1]) };
+  });
 
-export const stringToSeedWeights = (string: string): SeedWeights | boolean => {
-    const stringPairs = string.split(',');
-    const arrPairs = stringPairs.map((p) => p.split(':'));
-    const pairs = arrPairs.map((p) => {
-        return [parseInt(p[0]), parseFloat(p[1])];
-    });
+  if (!validateSeedWeights(pairs)) {
+    return false;
+  }
 
-    if (!validateSeedWeights(pairs)) {
-        return false;
-    }
-
-    return pairs;
+  return pairs;
 };
 
 export const validateSeedWeights = (
-    seedWeights: SeedWeights | string
+  seedWeights: InvokeAI.SeedWeights | string
 ): boolean => {
-    return typeof seedWeights === 'string'
-        ? Boolean(stringToSeedWeights(seedWeights))
-        : Boolean(
-              seedWeights.length &&
-                  !seedWeights.some((pair) => {
-                      const [seed, weight] = pair;
-                      const isSeedValid = !isNaN(parseInt(seed.toString(), 10));
-                      const isWeightValid =
-                          !isNaN(parseInt(weight.toString(), 10)) &&
-                          weight >= 0 &&
-                          weight <= 1;
-                      return !(isSeedValid && isWeightValid);
-                  })
-          );
+  return typeof seedWeights === 'string'
+    ? Boolean(stringToSeedWeights(seedWeights))
+    : Boolean(
+        seedWeights.length &&
+          !seedWeights.some((pair: InvokeAI.SeedWeightPair) => {
+            const { seed, weight } = pair;
+            const isSeedValid = !isNaN(parseInt(seed.toString(), 10));
+            const isWeightValid =
+              !isNaN(parseInt(weight.toString(), 10)) &&
+              weight >= 0 &&
+              weight <= 1;
+            return !(isSeedValid && isWeightValid);
+          })
+      );
 };
 
 export const seedWeightsToString = (
-    seedWeights: SeedWeights
-): string | boolean => {
-    if (!validateSeedWeights(seedWeights)) {
-        return false;
+  seedWeights: InvokeAI.SeedWeights
+): string => {
+  return seedWeights.reduce((acc, pair, i, arr) => {
+    const { seed, weight } = pair;
+    acc += `${seed}:${weight}`;
+    if (i !== arr.length - 1) {
+      acc += ',';
     }
-
-    return seedWeights.reduce((acc, pair, i, arr) => {
-        const [seed, weight] = pair;
-        acc += `${seed}:${weight}`;
-        if (i !== arr.length - 1) {
-            acc += ',';
-        }
-        return acc;
-    }, '');
+    return acc;
+  }, '');
+};
+
+export const seedWeightsToArray = (
+  seedWeights: InvokeAI.SeedWeights
+): Array<Array<number>> => {
+  return seedWeights.map((pair: InvokeAI.SeedWeightPair) => [
+    pair.seed,
+    pair.weight,
+  ]);
+};
+
+export const stringToSeedWeightsArray = (
+  string: string
+): Array<Array<number>> => {
+  const stringPairs = string.split(',');
+  const arrPairs = stringPairs.map((p) => p.split(':'));
+  return arrPairs.map(
+    (p: Array<string>): Array<number> => [parseInt(p[0]), parseFloat(p[1])]
+  );
 };
diff --git a/frontend/src/features/gallery/CurrentImageButtons.tsx b/frontend/src/features/gallery/CurrentImageButtons.tsx
index cb4d620fe0..9a8ae02344 100644
--- a/frontend/src/features/gallery/CurrentImageButtons.tsx
+++ b/frontend/src/features/gallery/CurrentImageButtons.tsx
@@ -1,12 +1,18 @@
 import { Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+
+import * as InvokeAI from '../../app/invokeai';
+
 import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
-import { setAllParameters, setInitialImagePath, setSeed } from '../sd/sdSlice';
+import {
+  setAllParameters,
+  setInitialImagePath,
+  setSeed,
+} from '../options/optionsSlice';
 import DeleteImageModal from './DeleteImageModal';
-import { createSelector } from '@reduxjs/toolkit';
 import { SystemState } from '../system/systemSlice';
-import { isEqual } from 'lodash';
-import { SDImage } from './gallerySlice';
 import SDButton from '../../common/components/SDButton';
 import { runESRGAN, runGFPGAN } from '../../app/socketio/actions';
 
@@ -28,7 +34,7 @@ const systemSelector = createSelector(
 );
 
 type CurrentImageButtonsProps = {
-  image: SDImage;
+  image: InvokeAI.Image;
   shouldShowImageDetails: boolean;
   setShouldShowImageDetails: (b: boolean) => void;
 };
@@ -49,7 +55,7 @@ const CurrentImageButtons = ({
   );
 
   const { upscalingLevel, gfpganStrength } = useAppSelector(
-    (state: RootState) => state.sd
+    (state: RootState) => state.options
   );
 
   const { isProcessing, isConnected, isGFPGANAvailable, isESRGANAvailable } =
@@ -63,8 +69,7 @@ const CurrentImageButtons = ({
 
   // Non-null assertion: this button is disabled if there is no seed.
   // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
-  const handleClickUseSeed = () => dispatch(setSeed(image.metadata.seed!));
-
+  const handleClickUseSeed = () => dispatch(setSeed(image.metadata.image.seed));
   const handleClickUpscale = () => dispatch(runESRGAN(image));
 
   const handleClickFixFaces = () => dispatch(runGFPGAN(image));
@@ -87,6 +92,7 @@ const CurrentImageButtons = ({
         colorScheme={'gray'}
         flexGrow={1}
         variant={'outline'}
+        isDisabled={!['txt2img', 'img2img'].includes(image.metadata.image.type)}
         onClick={handleClickUseAllParameters}
       />
 
@@ -95,7 +101,7 @@ const CurrentImageButtons = ({
         colorScheme={'gray'}
         flexGrow={1}
         variant={'outline'}
-        isDisabled={!image.metadata.seed}
+        isDisabled={!image.metadata.image.seed}
         onClick={handleClickUseSeed}
       />
 
diff --git a/frontend/src/features/gallery/DeleteImageModal.tsx b/frontend/src/features/gallery/DeleteImageModal.tsx
index a8573794b8..91ff3f8885 100644
--- a/frontend/src/features/gallery/DeleteImageModal.tsx
+++ b/frontend/src/features/gallery/DeleteImageModal.tsx
@@ -17,6 +17,7 @@ import { createSelector } from '@reduxjs/toolkit';
 import {
   ChangeEvent,
   cloneElement,
+  forwardRef,
   ReactElement,
   SyntheticEvent,
   useRef,
@@ -25,7 +26,7 @@ import { useAppDispatch, useAppSelector } from '../../app/store';
 import { deleteImage } from '../../app/socketio/actions';
 import { RootState } from '../../app/store';
 import { setShouldConfirmOnDelete, SystemState } from '../system/systemSlice';
-import { SDImage } from './gallerySlice';
+import * as InvokeAI from '../../app/invokeai';
 
 interface DeleteImageModalProps {
   /**
@@ -35,7 +36,7 @@ interface DeleteImageModalProps {
   /**
    * The image to delete.
    */
-  image: SDImage;
+  image: InvokeAI.Image;
 }
 
 const systemSelector = createSelector(
@@ -49,73 +50,76 @@ const systemSelector = createSelector(
  * If it is false, the image is deleted immediately.
  * The confirmation modal has a "Don't ask me again" switch to set the boolean.
  */
-const DeleteImageModal = ({ image, children }: DeleteImageModalProps) => {
-  const { isOpen, onOpen, onClose } = useDisclosure();
-  const dispatch = useAppDispatch();
-  const shouldConfirmOnDelete = useAppSelector(systemSelector);
-  const cancelRef = useRef<HTMLButtonElement>(null);
+const DeleteImageModal = forwardRef(
+  ({ image, children }: DeleteImageModalProps, ref) => {
+    const { isOpen, onOpen, onClose } = useDisclosure();
+    const dispatch = useAppDispatch();
+    const shouldConfirmOnDelete = useAppSelector(systemSelector);
+    const cancelRef = useRef<HTMLButtonElement>(null);
 
-  const handleClickDelete = (e: SyntheticEvent) => {
-    e.stopPropagation();
-    shouldConfirmOnDelete ? onOpen() : handleDelete();
-  };
+    const handleClickDelete = (e: SyntheticEvent) => {
+      e.stopPropagation();
+      shouldConfirmOnDelete ? onOpen() : handleDelete();
+    };
 
-  const handleDelete = () => {
-    dispatch(deleteImage(image));
-    onClose();
-  };
+    const handleDelete = () => {
+      dispatch(deleteImage(image));
+      onClose();
+    };
 
-  const handleChangeShouldConfirmOnDelete = (
-    e: ChangeEvent<HTMLInputElement>
-  ) => dispatch(setShouldConfirmOnDelete(!e.target.checked));
+    const handleChangeShouldConfirmOnDelete = (
+      e: ChangeEvent<HTMLInputElement>
+    ) => dispatch(setShouldConfirmOnDelete(!e.target.checked));
 
-  return (
-    <>
-      {cloneElement(children, {
-        // TODO: This feels wrong.
-        onClick: handleClickDelete,
-      })}
+    return (
+      <>
+        {cloneElement(children, {
+          // TODO: This feels wrong.
+          onClick: handleClickDelete,
+          ref: ref,
+        })}
 
-      <AlertDialog
-        isOpen={isOpen}
-        leastDestructiveRef={cancelRef}
-        onClose={onClose}
-      >
-        <AlertDialogOverlay>
-          <AlertDialogContent>
-            <AlertDialogHeader fontSize="lg" fontWeight="bold">
-              Delete image
-            </AlertDialogHeader>
+        <AlertDialog
+          isOpen={isOpen}
+          leastDestructiveRef={cancelRef}
+          onClose={onClose}
+        >
+          <AlertDialogOverlay>
+            <AlertDialogContent>
+              <AlertDialogHeader fontSize="lg" fontWeight="bold">
+                Delete image
+              </AlertDialogHeader>
 
-            <AlertDialogBody>
-              <Flex direction={'column'} gap={5}>
-                <Text>
-                  Are you sure? You can't undo this action afterwards.
-                </Text>
-                <FormControl>
-                  <Flex alignItems={'center'}>
-                    <FormLabel mb={0}>Don't ask me again</FormLabel>
-                    <Switch
-                      checked={!shouldConfirmOnDelete}
-                      onChange={handleChangeShouldConfirmOnDelete}
-                    />
-                  </Flex>
-                </FormControl>
-              </Flex>
-            </AlertDialogBody>
-            <AlertDialogFooter>
-              <Button ref={cancelRef} onClick={onClose}>
-                Cancel
-              </Button>
-              <Button colorScheme="red" onClick={handleDelete} ml={3}>
-                Delete
-              </Button>
-            </AlertDialogFooter>
-          </AlertDialogContent>
-        </AlertDialogOverlay>
-      </AlertDialog>
-    </>
-  );
-};
+              <AlertDialogBody>
+                <Flex direction={'column'} gap={5}>
+                  <Text>
+                    Are you sure? You can't undo this action afterwards.
+                  </Text>
+                  <FormControl>
+                    <Flex alignItems={'center'}>
+                      <FormLabel mb={0}>Don't ask me again</FormLabel>
+                      <Switch
+                        checked={!shouldConfirmOnDelete}
+                        onChange={handleChangeShouldConfirmOnDelete}
+                      />
+                    </Flex>
+                  </FormControl>
+                </Flex>
+              </AlertDialogBody>
+              <AlertDialogFooter>
+                <Button ref={cancelRef} onClick={onClose}>
+                  Cancel
+                </Button>
+                <Button colorScheme="red" onClick={handleDelete} ml={3}>
+                  Delete
+                </Button>
+              </AlertDialogFooter>
+            </AlertDialogContent>
+          </AlertDialogOverlay>
+        </AlertDialog>
+      </>
+    );
+  }
+);
 
 export default DeleteImageModal;
diff --git a/frontend/src/features/gallery/HoverableImage.tsx b/frontend/src/features/gallery/HoverableImage.tsx
index 11bd1e077a..963bbed450 100644
--- a/frontend/src/features/gallery/HoverableImage.tsx
+++ b/frontend/src/features/gallery/HoverableImage.tsx
@@ -4,17 +4,20 @@ import {
   Icon,
   IconButton,
   Image,
+  Tooltip,
   useColorModeValue,
 } from '@chakra-ui/react';
 import { useAppDispatch } from '../../app/store';
-import { SDImage, setCurrentImage } from './gallerySlice';
-import { FaCheck, FaCopy, FaSeedling, FaTrash } from 'react-icons/fa';
+import { setCurrentImage } from './gallerySlice';
+import { FaCheck, FaSeedling, FaTrashAlt } from 'react-icons/fa';
 import DeleteImageModal from './DeleteImageModal';
 import { memo, SyntheticEvent, useState } from 'react';
-import { setAllParameters, setSeed } from '../sd/sdSlice';
+import { setAllParameters, setSeed } from '../options/optionsSlice';
+import * as InvokeAI from '../../app/invokeai';
+import { IoArrowUndoCircleOutline } from 'react-icons/io5';
 
 interface HoverableImageProps {
-  image: SDImage;
+  image: InvokeAI.Image;
   isSelected: boolean;
 }
 
@@ -52,7 +55,7 @@ const HoverableImage = memo((props: HoverableImageProps) => {
     e.stopPropagation();
     // Non-null assertion: this button is not rendered unless this exists
     // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
-    dispatch(setSeed(image.metadata.seed!));
+    dispatch(setSeed(image.metadata.image.seed));
   };
 
   const handleClickImage = () => dispatch(setCurrentImage(image));
@@ -94,32 +97,41 @@ const HoverableImage = memo((props: HoverableImageProps) => {
             top={1}
             right={1}
           >
-            <DeleteImageModal image={image}>
-              <IconButton
-                colorScheme="red"
-                aria-label="Delete image"
-                icon={<FaTrash />}
-                size="xs"
-                fontSize={15}
-              />
-            </DeleteImageModal>
-            <IconButton
-              aria-label="Use all parameters"
-              colorScheme={'blue'}
-              icon={<FaCopy />}
-              size="xs"
-              fontSize={15}
-              onClickCapture={handleClickSetAllParameters}
-            />
-            {image.metadata.seed && (
-              <IconButton
-                aria-label="Use seed"
-                colorScheme={'blue'}
-                icon={<FaSeedling />}
-                size="xs"
-                fontSize={16}
-                onClickCapture={handleClickSetSeed}
-              />
+            <Tooltip label={'Delete image'}>
+              <DeleteImageModal image={image}>
+                <IconButton
+                  colorScheme="red"
+                  aria-label="Delete image"
+                  icon={<FaTrashAlt />}
+                  size="xs"
+                  variant={'imageHoverIconButton'}
+                  fontSize={14}
+                />
+              </DeleteImageModal>
+            </Tooltip>
+            {['txt2img', 'img2img'].includes(image.metadata.image.type) && (
+              <Tooltip label="Use all parameters">
+                <IconButton
+                  aria-label="Use all parameters"
+                  icon={<IoArrowUndoCircleOutline />}
+                  size="xs"
+                  fontSize={18}
+                  variant={'imageHoverIconButton'}
+                  onClickCapture={handleClickSetAllParameters}
+                />
+              </Tooltip>
+            )}
+            {image.metadata.image.seed && (
+              <Tooltip label="Use seed">
+                <IconButton
+                  aria-label="Use seed"
+                  icon={<FaSeedling />}
+                  size="xs"
+                  fontSize={16}
+                  variant={'imageHoverIconButton'}
+                  onClickCapture={handleClickSetSeed}
+                />
+              </Tooltip>
             )}
           </Flex>
         )}
diff --git a/frontend/src/features/gallery/ImageMetadataViewer.tsx b/frontend/src/features/gallery/ImageMetadataViewer.tsx
index 1d34c5b2bf..ff8648138b 100644
--- a/frontend/src/features/gallery/ImageMetadataViewer.tsx
+++ b/frontend/src/features/gallery/ImageMetadataViewer.tsx
@@ -1,22 +1,82 @@
 import {
+  Box,
   Center,
   Flex,
   IconButton,
   Link,
-  List,
-  ListItem,
   Text,
+  Tooltip,
+  useColorModeValue,
 } from '@chakra-ui/react';
+import { ExternalLinkIcon } from '@chakra-ui/icons';
 import { memo } from 'react';
-import { FaPlus } from 'react-icons/fa';
-import { PARAMETERS } from '../../app/constants';
+import { IoArrowUndoCircleOutline } from 'react-icons/io5';
 import { useAppDispatch } from '../../app/store';
-import SDButton from '../../common/components/SDButton';
-import { setAllParameters, setParameter } from '../sd/sdSlice';
-import { SDImage, SDMetadata } from './gallerySlice';
+import * as InvokeAI from '../../app/invokeai';
+import {
+  setCfgScale,
+  setGfpganStrength,
+  setHeight,
+  setImg2imgStrength,
+  setInitialImagePath,
+  setMaskPath,
+  setPrompt,
+  setSampler,
+  setSeed,
+  setSeedWeights,
+  setShouldFitToWidthHeight,
+  setSteps,
+  setUpscalingLevel,
+  setUpscalingStrength,
+  setWidth,
+} from '../options/optionsSlice';
+import promptToString from '../../common/util/promptToString';
+import { seedWeightsToString } from '../../common/util/seedWeightPairs';
+import { FaCopy } from 'react-icons/fa';
+
+type MetadataItemProps = {
+  isLink?: boolean;
+  label: string;
+  onClick?: () => void;
+  value: number | string | boolean;
+};
+
+/**
+ * Component to display an individual metadata item or parameter.
+ */
+const MetadataItem = ({ label, value, onClick, isLink }: MetadataItemProps) => {
+  return (
+    <Flex gap={2}>
+      {onClick && (
+        <Tooltip label={`Recall ${label}`}>
+          <IconButton
+            aria-label="Use this parameter"
+            icon={<IoArrowUndoCircleOutline />}
+            size={'xs'}
+            variant={'ghost'}
+            fontSize={20}
+            onClick={onClick}
+          />
+        </Tooltip>
+      )}
+      <Text fontWeight={'semibold'} whiteSpace={'nowrap'}>
+        {label}:
+      </Text>
+      {isLink ? (
+        <Link href={value.toString()} isExternal wordBreak={'break-all'}>
+          {value.toString()} <ExternalLinkIcon mx="2px" />
+        </Link>
+      ) : (
+        <Text maxHeight={100} overflowY={'scroll'} wordBreak={'break-all'}>
+          {value.toString()}
+        </Text>
+      )}
+    </Flex>
+  );
+};
 
 type ImageMetadataViewerProps = {
-  image: SDImage;
+  image: InvokeAI.Image;
 };
 
 // TODO: I don't know if this is needed.
@@ -33,91 +93,223 @@ const memoEqualityCheck = (
  */
 const ImageMetadataViewer = memo(({ image }: ImageMetadataViewerProps) => {
   const dispatch = useAppDispatch();
+  const jsonBgColor = useColorModeValue('blackAlpha.100', 'whiteAlpha.100');
 
-  /**
-   * Build an array representing each item of metadata and a human-readable
-   * label for it e.g. "cfgScale" > "CFG Scale".
-   *
-   * This array is then used to render each item with a button to use that
-   * parameter in the processing settings.
-   *
-   * TODO: All this logic feels sloppy.
-   */
-  const keys = Object.keys(PARAMETERS);
+  const metadata = image.metadata.image;
+  const {
+    type,
+    postprocessing,
+    sampler,
+    prompt,
+    seed,
+    variations,
+    steps,
+    cfg_scale,
+    seamless,
+    width,
+    height,
+    strength,
+    fit,
+    init_image_path,
+    mask_image_path,
+    orig_path,
+    scale,
+  } = metadata;
 
-  const metadata: Array<{
-    label: string;
-    key: string;
-    value: string | number | boolean;
-  }> = [];
-
-  keys.forEach((key) => {
-    const value = image.metadata[key as keyof SDMetadata];
-    if (value !== undefined) {
-      metadata.push({ label: PARAMETERS[key], key, value });
-    }
-  });
+  const metadataJSON = JSON.stringify(metadata, null, 2);
 
   return (
-    <Flex gap={2} direction={'column'} overflowY={'scroll'} width={'100%'}>
-      <SDButton
-        label="Use all parameters"
-        colorScheme={'gray'}
-        padding={2}
-        isDisabled={metadata.length === 0}
-        onClick={() => dispatch(setAllParameters(image.metadata))}
-      />
+    <Flex
+      gap={1}
+      direction={'column'}
+      overflowY={'scroll'}
+      width={'100%'}
+    >
       <Flex gap={2}>
         <Text fontWeight={'semibold'}>File:</Text>
         <Link href={image.url} isExternal>
-          <Text>{image.url}</Text>
+          {image.url}
+          <ExternalLinkIcon mx="2px" />
         </Link>
       </Flex>
-      {metadata.length ? (
+      {Object.keys(metadata).length ? (
         <>
-          <List>
-            {metadata.map((parameter, i) => {
-              const { label, key, value } = parameter;
-              return (
-                <ListItem key={i} pb={1}>
-                  <Flex gap={2}>
-                    <IconButton
-                      aria-label="Use this parameter"
-                      icon={<FaPlus />}
-                      size={'xs'}
-                      onClick={() =>
-                        dispatch(
-                          setParameter({
-                            key,
-                            value,
-                          })
-                        )
-                      }
+          {type && <MetadataItem label="Type" value={type} />}
+          {['esrgan', 'gfpgan'].includes(type) && (
+            <MetadataItem label="Original image" value={orig_path} isLink />
+          )}
+          {type === 'gfpgan' && strength && (
+            <MetadataItem
+              label="Fix faces strength"
+              value={strength}
+              onClick={() => dispatch(setGfpganStrength(strength))}
+            />
+          )}
+          {type === 'esrgan' && scale && (
+            <MetadataItem
+              label="Upscaling scale"
+              value={scale}
+              onClick={() => dispatch(setUpscalingLevel(scale))}
+            />
+          )}
+          {type === 'esrgan' && strength && (
+            <MetadataItem
+              label="Upscaling strength"
+              value={strength}
+              onClick={() => dispatch(setUpscalingStrength(strength))}
+            />
+          )}
+          {prompt && (
+            <MetadataItem
+              label="Prompt"
+              value={promptToString(prompt)}
+              onClick={() => dispatch(setPrompt(prompt))}
+            />
+          )}
+          {seed && (
+            <MetadataItem
+              label="Seed"
+              value={seed}
+              onClick={() => dispatch(setSeed(seed))}
+            />
+          )}
+          {sampler && (
+            <MetadataItem
+              label="Sampler"
+              value={sampler}
+              onClick={() => dispatch(setSampler(sampler))}
+            />
+          )}
+          {steps && (
+            <MetadataItem
+              label="Steps"
+              value={steps}
+              onClick={() => dispatch(setSteps(steps))}
+            />
+          )}
+          {cfg_scale && (
+            <MetadataItem
+              label="CFG scale"
+              value={cfg_scale}
+              onClick={() => dispatch(setCfgScale(cfg_scale))}
+            />
+          )}
+          {variations && variations.length > 0 && (
+            <MetadataItem
+              label="Seed-weight pairs"
+              value={seedWeightsToString(variations)}
+              onClick={() =>
+                dispatch(setSeedWeights(seedWeightsToString(variations)))
+              }
+            />
+          )}
+          {seamless && (
+            <MetadataItem
+              label="Seamless"
+              value={seamless}
+              onClick={() => dispatch(setWidth(seamless))}
+            />
+          )}
+          {width && (
+            <MetadataItem
+              label="Width"
+              value={width}
+              onClick={() => dispatch(setWidth(width))}
+            />
+          )}
+          {height && (
+            <MetadataItem
+              label="Height"
+              value={height}
+              onClick={() => dispatch(setHeight(height))}
+            />
+          )}
+          {init_image_path && (
+            <MetadataItem
+              label="Initial image"
+              value={init_image_path}
+              isLink
+              onClick={() => dispatch(setInitialImagePath(init_image_path))}
+            />
+          )}
+          {mask_image_path && (
+            <MetadataItem
+              label="Mask image"
+              value={mask_image_path}
+              isLink
+              onClick={() => dispatch(setMaskPath(mask_image_path))}
+            />
+          )}
+          {type === 'img2img' && strength && (
+            <MetadataItem
+              label="Image to image strength"
+              value={strength}
+              onClick={() => dispatch(setImg2imgStrength(strength))}
+            />
+          )}
+          {fit && (
+            <MetadataItem
+              label="Image to image fit"
+              value={fit}
+              onClick={() => dispatch(setShouldFitToWidthHeight(fit))}
+            />
+          )}
+          {postprocessing &&
+            postprocessing.length > 0 &&
+            postprocessing.map(
+              (postprocess: InvokeAI.PostProcessedImageMetadata) => {
+                if (postprocess.type === 'esrgan') {
+                  const { scale, strength } = postprocess;
+                  return (
+                    <>
+                      <MetadataItem
+                        label="Upscaling scale"
+                        value={scale}
+                        onClick={() => dispatch(setUpscalingLevel(scale))}
+                      />
+                      <MetadataItem
+                        label="Upscaling strength"
+                        value={strength}
+                        onClick={() => dispatch(setUpscalingStrength(strength))}
+                      />
+                    </>
+                  );
+                } else if (postprocess.type === 'gfpgan') {
+                  const { strength } = postprocess;
+                  return (
+                    <MetadataItem
+                      label="Fix faces strength"
+                      value={strength}
+                      onClick={() => dispatch(setGfpganStrength(strength))}
                     />
-                    <Text fontWeight={'semibold'}>{label}:</Text>
-
-                    {value === undefined ||
-                    value === null ||
-                    value === '' ||
-                    value === 0 ? (
-                      <Text maxHeight={100} fontStyle={'italic'}>
-                        None
-                      </Text>
-                    ) : (
-                      <Text maxHeight={100} overflowY={'scroll'}>
-                        {value.toString()}
-                      </Text>
-                    )}
-                  </Flex>
-                </ListItem>
-              );
-            })}
-          </List>
-          <Flex gap={2}>
-            <Text fontWeight={'semibold'}>Raw:</Text>
-            <Text maxHeight={100} overflowY={'scroll'} wordBreak={'break-all'}>
-              {JSON.stringify(image.metadata)}
-            </Text>
+                  );
+                }
+              }
+            )}
+          <Flex gap={2} direction={'column'}>
+            <Flex gap={2}>
+              <Tooltip label={`Copy JSON`}>
+                <IconButton
+                  aria-label="Copy JSON"
+                  icon={<FaCopy />}
+                  size={'xs'}
+                  variant={'ghost'}
+                  fontSize={14}
+                  onClick={() => navigator.clipboard.writeText(metadataJSON)}
+                />
+              </Tooltip>
+              <Text fontWeight={'semibold'}>JSON:</Text>
+            </Flex>
+            <Box
+              // maxHeight={200}
+              overflow={'scroll'}
+              flexGrow={3}
+              wordBreak={'break-all'}
+              bgColor={jsonBgColor}
+              padding={2}
+            >
+              <pre>{metadataJSON}</pre>
+            </Box>
           </Flex>
         </>
       ) : (
diff --git a/frontend/src/features/gallery/gallerySlice.ts b/frontend/src/features/gallery/gallerySlice.ts
index 53912ef9e9..8870d90466 100644
--- a/frontend/src/features/gallery/gallerySlice.ts
+++ b/frontend/src/features/gallery/gallerySlice.ts
@@ -1,39 +1,13 @@
 import { createSlice } from '@reduxjs/toolkit';
 import type { PayloadAction } from '@reduxjs/toolkit';
-import { UpscalingLevel } from '../sd/sdSlice';
 import { clamp } from 'lodash';
-
-// TODO: Revise pending metadata RFC: https://github.com/lstein/stable-diffusion/issues/266
-export interface SDMetadata {
-  prompt?: string;
-  steps?: number;
-  cfgScale?: number;
-  height?: number;
-  width?: number;
-  sampler?: string;
-  seed?: number;
-  img2imgStrength?: number;
-  gfpganStrength?: number;
-  upscalingLevel?: UpscalingLevel;
-  upscalingStrength?: number;
-  initialImagePath?: string;
-  maskPath?: string;
-  seamless?: boolean;
-  shouldFitToWidthHeight?: boolean;
-}
-
-export interface SDImage {
-  // TODO: I have installed @types/uuid but cannot figure out how to use them here.
-  uuid: string;
-  url: string;
-  metadata: SDMetadata;
-}
+import * as InvokeAI from '../../app/invokeai';
 
 export interface GalleryState {
+  currentImage?: InvokeAI.Image;
   currentImageUuid: string;
-  images: Array<SDImage>;
-  intermediateImage?: SDImage;
-  currentImage?: SDImage;
+  images: Array<InvokeAI.Image>;
+  intermediateImage?: InvokeAI.Image;
 }
 
 const initialState: GalleryState = {
@@ -45,7 +19,7 @@ export const gallerySlice = createSlice({
   name: 'gallery',
   initialState,
   reducers: {
-    setCurrentImage: (state, action: PayloadAction<SDImage>) => {
+    setCurrentImage: (state, action: PayloadAction<InvokeAI.Image>) => {
       state.currentImage = action.payload;
       state.currentImageUuid = action.payload.uuid;
     },
@@ -92,19 +66,19 @@ export const gallerySlice = createSlice({
 
       state.images = newImages;
     },
-    addImage: (state, action: PayloadAction<SDImage>) => {
+    addImage: (state, action: PayloadAction<InvokeAI.Image>) => {
       state.images.push(action.payload);
       state.currentImageUuid = action.payload.uuid;
       state.intermediateImage = undefined;
       state.currentImage = action.payload;
     },
-    setIntermediateImage: (state, action: PayloadAction<SDImage>) => {
+    setIntermediateImage: (state, action: PayloadAction<InvokeAI.Image>) => {
       state.intermediateImage = action.payload;
     },
     clearIntermediateImage: (state) => {
       state.intermediateImage = undefined;
     },
-    setGalleryImages: (state, action: PayloadAction<Array<SDImage>>) => {
+    setGalleryImages: (state, action: PayloadAction<Array<InvokeAI.Image>>) => {
       const newImages = action.payload;
       if (newImages.length) {
         const newCurrentImage = newImages[newImages.length - 1];
@@ -117,12 +91,12 @@ export const gallerySlice = createSlice({
 });
 
 export const {
-  setCurrentImage,
-  removeImage,
   addImage,
+  clearIntermediateImage,
+  removeImage,
+  setCurrentImage,
   setGalleryImages,
   setIntermediateImage,
-  clearIntermediateImage,
 } = gallerySlice.actions;
 
 export default gallerySlice.reducer;
diff --git a/frontend/src/features/sd/ESRGANOptions.tsx b/frontend/src/features/options/ESRGANOptions.tsx
similarity index 84%
rename from frontend/src/features/sd/ESRGANOptions.tsx
rename to frontend/src/features/options/ESRGANOptions.tsx
index 475f0de8bc..71bbd16182 100644
--- a/frontend/src/features/sd/ESRGANOptions.tsx
+++ b/frontend/src/features/options/ESRGANOptions.tsx
@@ -7,8 +7,8 @@ import {
   setUpscalingLevel,
   setUpscalingStrength,
   UpscalingLevel,
-  SDState,
-} from '../sd/sdSlice';
+  OptionsState,
+} from '../options/optionsSlice';
 
 
 import { UPSCALING_LEVELS } from '../../app/constants';
@@ -19,12 +19,12 @@ import { ChangeEvent } from 'react';
 import SDNumberInput from '../../common/components/SDNumberInput';
 import SDSelect from '../../common/components/SDSelect';
 
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
+const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
     return {
-      upscalingLevel: sd.upscalingLevel,
-      upscalingStrength: sd.upscalingStrength,
+      upscalingLevel: options.upscalingLevel,
+      upscalingStrength: options.upscalingStrength,
     };
   },
   {
@@ -53,7 +53,7 @@ const systemSelector = createSelector(
  */
 const ESRGANOptions = () => {
   const dispatch = useAppDispatch();
-  const { upscalingLevel, upscalingStrength } = useAppSelector(sdSelector);
+  const { upscalingLevel, upscalingStrength } = useAppSelector(optionsSelector);
   const { isESRGANAvailable } = useAppSelector(systemSelector);
 
   const handleChangeLevel = (e: ChangeEvent<HTMLSelectElement>) =>
diff --git a/frontend/src/features/sd/GFPGANOptions.tsx b/frontend/src/features/options/GFPGANOptions.tsx
similarity index 81%
rename from frontend/src/features/sd/GFPGANOptions.tsx
rename to frontend/src/features/options/GFPGANOptions.tsx
index 6af6f26aca..463f3b1686 100644
--- a/frontend/src/features/sd/GFPGANOptions.tsx
+++ b/frontend/src/features/options/GFPGANOptions.tsx
@@ -3,7 +3,7 @@ import { Flex } from '@chakra-ui/react';
 import { RootState } from '../../app/store';
 import { useAppDispatch, useAppSelector } from '../../app/store';
 
-import { SDState, setGfpganStrength } from '../sd/sdSlice';
+import { OptionsState, setGfpganStrength } from '../options/optionsSlice';
 
 
 import { createSelector } from '@reduxjs/toolkit';
@@ -11,11 +11,11 @@ import { isEqual } from 'lodash';
 import { SystemState } from '../system/systemSlice';
 import SDNumberInput from '../../common/components/SDNumberInput';
 
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
+const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
     return {
-      gfpganStrength: sd.gfpganStrength,
+      gfpganStrength: options.gfpganStrength,
     };
   },
   {
@@ -44,7 +44,7 @@ const systemSelector = createSelector(
  */
 const GFPGANOptions = () => {
   const dispatch = useAppDispatch();
-  const { gfpganStrength } = useAppSelector(sdSelector);
+  const { gfpganStrength } = useAppSelector(optionsSelector);
   const { isGFPGANAvailable } = useAppSelector(systemSelector);
 
   const handleChangeStrength = (v: string | number) =>
diff --git a/frontend/src/features/sd/ImageToImageOptions.tsx b/frontend/src/features/options/ImageToImageOptions.tsx
similarity index 82%
rename from frontend/src/features/sd/ImageToImageOptions.tsx
rename to frontend/src/features/options/ImageToImageOptions.tsx
index 044f353b22..d9be3f7b53 100644
--- a/frontend/src/features/sd/ImageToImageOptions.tsx
+++ b/frontend/src/features/options/ImageToImageOptions.tsx
@@ -7,17 +7,17 @@ import SDNumberInput from '../../common/components/SDNumberInput';
 import SDSwitch from '../../common/components/SDSwitch';
 import InitAndMaskImage from './InitAndMaskImage';
 import {
-  SDState,
+  OptionsState,
   setImg2imgStrength,
   setShouldFitToWidthHeight,
-} from './sdSlice';
+} from './optionsSlice';
 
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
+const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
     return {
-      img2imgStrength: sd.img2imgStrength,
-      shouldFitToWidthHeight: sd.shouldFitToWidthHeight,
+      img2imgStrength: options.img2imgStrength,
+      shouldFitToWidthHeight: options.shouldFitToWidthHeight,
     };
   }
 );
@@ -28,7 +28,7 @@ const sdSelector = createSelector(
 const ImageToImageOptions = () => {
   const dispatch = useAppDispatch();
   const { img2imgStrength, shouldFitToWidthHeight } =
-    useAppSelector(sdSelector);
+    useAppSelector(optionsSelector);
 
   const handleChangeStrength = (v: string | number) =>
     dispatch(setImg2imgStrength(Number(v)));
diff --git a/frontend/src/features/sd/ImageUploader.tsx b/frontend/src/features/options/ImageUploader.tsx
similarity index 94%
rename from frontend/src/features/sd/ImageUploader.tsx
rename to frontend/src/features/options/ImageUploader.tsx
index 688a63a68e..e7da2f14ba 100644
--- a/frontend/src/features/sd/ImageUploader.tsx
+++ b/frontend/src/features/options/ImageUploader.tsx
@@ -1,3 +1,4 @@
+import { Box } from '@chakra-ui/react';
 import { cloneElement, ReactElement, SyntheticEvent, useCallback } from 'react';
 import { FileRejection, useDropzone } from 'react-dropzone';
 
@@ -51,12 +52,12 @@ const ImageUploader = ({
   };
 
   return (
-    <div {...getRootProps()}>
+    <Box {...getRootProps()} flexGrow={3}>
       <input {...getInputProps({ multiple: false })} />
       {cloneElement(children, {
         onClick: handleClickUploadIcon,
       })}
-    </div>
+    </Box>
   );
 };
 
diff --git a/frontend/src/features/sd/InitAndMaskImage.css b/frontend/src/features/options/InitAndMaskImage.css
similarity index 100%
rename from frontend/src/features/sd/InitAndMaskImage.css
rename to frontend/src/features/options/InitAndMaskImage.css
diff --git a/frontend/src/features/sd/InitAndMaskImage.tsx b/frontend/src/features/options/InitAndMaskImage.tsx
similarity index 80%
rename from frontend/src/features/sd/InitAndMaskImage.tsx
rename to frontend/src/features/options/InitAndMaskImage.tsx
index 391a13c730..f129b54129 100644
--- a/frontend/src/features/sd/InitAndMaskImage.tsx
+++ b/frontend/src/features/options/InitAndMaskImage.tsx
@@ -2,18 +2,18 @@ import { Flex, Image } from '@chakra-ui/react';
 import { useState } from 'react';
 import { useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
-import { SDState } from '../../features/sd/sdSlice';
+import { OptionsState } from '../../features/options/optionsSlice';
 import './InitAndMaskImage.css';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import InitAndMaskUploadButtons from './InitAndMaskUploadButtons';
 
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
+const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
     return {
-      initialImagePath: sd.initialImagePath,
-      maskPath: sd.maskPath,
+      initialImagePath: options.initialImagePath,
+      maskPath: options.maskPath,
     };
   },
   { memoizeOptions: { resultEqualityCheck: isEqual } }
@@ -23,7 +23,7 @@ const sdSelector = createSelector(
  * Displays init and mask images and buttons to upload/delete them.
  */
 const InitAndMaskImage = () => {
-  const { initialImagePath, maskPath } = useAppSelector(sdSelector);
+  const { initialImagePath, maskPath } = useAppSelector(optionsSelector);
   const [shouldShowMask, setShouldShowMask] = useState<boolean>(false);
 
   return (
diff --git a/frontend/src/features/sd/InitAndMaskUploadButtons.tsx b/frontend/src/features/options/InitAndMaskUploadButtons.tsx
similarity index 75%
rename from frontend/src/features/sd/InitAndMaskUploadButtons.tsx
rename to frontend/src/features/options/InitAndMaskUploadButtons.tsx
index 1eb2055a02..8f0f5748e5 100644
--- a/frontend/src/features/sd/InitAndMaskUploadButtons.tsx
+++ b/frontend/src/features/options/InitAndMaskUploadButtons.tsx
@@ -1,25 +1,28 @@
 import { Button, Flex, IconButton, useToast } from '@chakra-ui/react';
 import { SyntheticEvent, useCallback } from 'react';
-import { FaTrash } from 'react-icons/fa';
+import { FaTrash, FaUpload } from 'react-icons/fa';
 import { useAppDispatch, useAppSelector } from '../../app/store';
 import { RootState } from '../../app/store';
 import {
-  SDState,
+  OptionsState,
   setInitialImagePath,
   setMaskPath,
-} from '../../features/sd/sdSlice';
-import { uploadInitialImage, uploadMaskImage } from '../../app/socketio/actions';
+} from '../../features/options/optionsSlice';
+import {
+  uploadInitialImage,
+  uploadMaskImage,
+} from '../../app/socketio/actions';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import ImageUploader from './ImageUploader';
 import { FileRejection } from 'react-dropzone';
 
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
+const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
     return {
-      initialImagePath: sd.initialImagePath,
-      maskPath: sd.maskPath,
+      initialImagePath: options.initialImagePath,
+      maskPath: options.maskPath,
     };
   },
   { memoizeOptions: { resultEqualityCheck: isEqual } }
@@ -36,15 +39,20 @@ const InitAndMaskUploadButtons = ({
   setShouldShowMask,
 }: InitAndMaskUploadButtonsProps) => {
   const dispatch = useAppDispatch();
-  const { initialImagePath } = useAppSelector(sdSelector);
+  const { initialImagePath, maskPath } = useAppSelector(optionsSelector);
 
   // Use a toast to alert user when a file upload is rejected
   const toast = useToast();
 
   // Clear the init and mask images
-  const handleClickResetInitialImageAndMask = (e: SyntheticEvent) => {
+  const handleClickResetInitialImage = (e: SyntheticEvent) => {
     e.stopPropagation();
     dispatch(setInitialImagePath(''));
+  };
+
+  // Clear the init and mask images
+  const handleClickResetMask = (e: SyntheticEvent) => {
+    e.stopPropagation();
     dispatch(setMaskPath(''));
   };
 
@@ -96,11 +104,21 @@ const InitAndMaskUploadButtons = ({
           fontWeight={'normal'}
           onMouseOver={handleMouseOverInitialImageUploadButton}
           onMouseOut={handleMouseOutInitialImageUploadButton}
+          leftIcon={<FaUpload />}
+          width={'100%'}
         >
-          Upload Image
+          Image
         </Button>
       </ImageUploader>
 
+      <IconButton
+        isDisabled={!initialImagePath}
+        size={'sm'}
+        aria-label={'Reset mask'}
+        onClick={handleClickResetInitialImage}
+        icon={<FaTrash />}
+      />
+
       <ImageUploader
         fileAcceptedCallback={maskImageFileAcceptedCallback}
         fileRejectionCallback={fileRejectionCallback}
@@ -112,16 +130,18 @@ const InitAndMaskUploadButtons = ({
           fontWeight={'normal'}
           onMouseOver={handleMouseOverMaskUploadButton}
           onMouseOut={handleMouseOutMaskUploadButton}
+          leftIcon={<FaUpload />}
+          width={'100%'}
         >
-          Upload Mask
+          Mask
         </Button>
       </ImageUploader>
 
       <IconButton
-        isDisabled={!initialImagePath}
+        isDisabled={!maskPath}
         size={'sm'}
-        aria-label={'Reset initial image and mask'}
-        onClick={handleClickResetInitialImageAndMask}
+        aria-label={'Reset mask'}
+        onClick={handleClickResetMask}
         icon={<FaTrash />}
       />
     </Flex>
diff --git a/frontend/src/features/sd/OptionsAccordion.tsx b/frontend/src/features/options/OptionsAccordion.tsx
similarity index 93%
rename from frontend/src/features/sd/OptionsAccordion.tsx
rename to frontend/src/features/options/OptionsAccordion.tsx
index 5d85a1fd75..ab60e98228 100644
--- a/frontend/src/features/sd/OptionsAccordion.tsx
+++ b/frontend/src/features/options/OptionsAccordion.tsx
@@ -17,9 +17,9 @@ import { useAppDispatch, useAppSelector } from '../../app/store';
 import {
   setShouldRunGFPGAN,
   setShouldRunESRGAN,
-  SDState,
+  OptionsState,
   setShouldUseInitImage,
-} from '../sd/sdSlice';
+} from '../options/optionsSlice';
 import { createSelector } from '@reduxjs/toolkit';
 import { isEqual } from 'lodash';
 import { setOpenAccordions, SystemState } from '../system/systemSlice';
@@ -31,14 +31,14 @@ import OutputOptions from './OutputOptions';
 import ImageToImageOptions from './ImageToImageOptions';
 import { ChangeEvent } from 'react';
 
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
+const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
     return {
-      initialImagePath: sd.initialImagePath,
-      shouldUseInitImage: sd.shouldUseInitImage,
-      shouldRunESRGAN: sd.shouldRunESRGAN,
-      shouldRunGFPGAN: sd.shouldRunGFPGAN,
+      initialImagePath: options.initialImagePath,
+      shouldUseInitImage: options.shouldUseInitImage,
+      shouldRunESRGAN: options.shouldRunESRGAN,
+      shouldRunGFPGAN: options.shouldRunGFPGAN,
     };
   },
   {
@@ -73,7 +73,7 @@ const OptionsAccordion = () => {
     shouldRunGFPGAN,
     shouldUseInitImage,
     initialImagePath,
-  } = useAppSelector(sdSelector);
+  } = useAppSelector(optionsSelector);
 
   const { isGFPGANAvailable, isESRGANAvailable, openAccordions } =
     useAppSelector(systemSelector);
diff --git a/frontend/src/features/sd/OutputOptions.tsx b/frontend/src/features/options/OutputOptions.tsx
similarity index 82%
rename from frontend/src/features/sd/OutputOptions.tsx
rename to frontend/src/features/options/OutputOptions.tsx
index a58c1fd230..32ff6f5a82 100644
--- a/frontend/src/features/sd/OutputOptions.tsx
+++ b/frontend/src/features/options/OutputOptions.tsx
@@ -3,7 +3,7 @@ import { Flex } from '@chakra-ui/react';
 import { RootState } from '../../app/store';
 import { useAppDispatch, useAppSelector } from '../../app/store';
 
-import { setHeight, setWidth, setSeamless, SDState } from '../sd/sdSlice';
+import { setHeight, setWidth, setSeamless, OptionsState } from '../options/optionsSlice';
 
 
 import { HEIGHTS, WIDTHS } from '../../app/constants';
@@ -13,13 +13,13 @@ import { ChangeEvent } from 'react';
 import SDSelect from '../../common/components/SDSelect';
 import SDSwitch from '../../common/components/SDSwitch';
 
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
+const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
     return {
-      height: sd.height,
-      width: sd.width,
-      seamless: sd.seamless,
+      height: options.height,
+      width: options.width,
+      seamless: options.seamless,
     };
   },
   {
@@ -34,7 +34,7 @@ const sdSelector = createSelector(
  */
 const OutputOptions = () => {
   const dispatch = useAppDispatch();
-  const { height, width, seamless } = useAppSelector(sdSelector);
+  const { height, width, seamless } = useAppSelector(optionsSelector);
 
   const handleChangeWidth = (e: ChangeEvent<HTMLSelectElement>) =>
     dispatch(setWidth(Number(e.target.value)));
diff --git a/frontend/src/features/sd/ProcessButtons.tsx b/frontend/src/features/options/ProcessButtons.tsx
similarity index 100%
rename from frontend/src/features/sd/ProcessButtons.tsx
rename to frontend/src/features/options/ProcessButtons.tsx
diff --git a/frontend/src/features/sd/PromptInput.tsx b/frontend/src/features/options/PromptInput.tsx
similarity index 94%
rename from frontend/src/features/sd/PromptInput.tsx
rename to frontend/src/features/options/PromptInput.tsx
index a05714295a..bed6af411c 100644
--- a/frontend/src/features/sd/PromptInput.tsx
+++ b/frontend/src/features/options/PromptInput.tsx
@@ -6,13 +6,13 @@ import {
 import { useAppDispatch, useAppSelector } from '../../app/store';
 import { generateImage } from '../../app/socketio/actions';
 import { RootState } from '../../app/store';
-import { setPrompt } from '../sd/sdSlice';
+import { setPrompt } from '../options/optionsSlice';
 
 /**
  * Prompt input text area.
  */
 const PromptInput = () => {
-  const { prompt } = useAppSelector((state: RootState) => state.sd);
+  const { prompt } = useAppSelector((state: RootState) => state.options);
   const dispatch = useAppDispatch();
 
   const handleChangePrompt = (e: ChangeEvent<HTMLTextAreaElement>) =>
diff --git a/frontend/src/features/sd/SamplerOptions.tsx b/frontend/src/features/options/SamplerOptions.tsx
similarity index 80%
rename from frontend/src/features/sd/SamplerOptions.tsx
rename to frontend/src/features/options/SamplerOptions.tsx
index 76371bd035..87a1094f51 100644
--- a/frontend/src/features/sd/SamplerOptions.tsx
+++ b/frontend/src/features/options/SamplerOptions.tsx
@@ -3,7 +3,7 @@ import { Flex } from '@chakra-ui/react';
 import { RootState } from '../../app/store';
 import { useAppDispatch, useAppSelector } from '../../app/store';
 
-import { setCfgScale, setSampler, setSteps, SDState } from '../sd/sdSlice';
+import { setCfgScale, setSampler, setSteps, OptionsState } from '../options/optionsSlice';
 
 
 import { SAMPLERS } from '../../app/constants';
@@ -13,13 +13,13 @@ import { ChangeEvent } from 'react';
 import SDNumberInput from '../../common/components/SDNumberInput';
 import SDSelect from '../../common/components/SDSelect';
 
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
+const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
     return {
-      steps: sd.steps,
-      cfgScale: sd.cfgScale,
-      sampler: sd.sampler,
+      steps: options.steps,
+      cfgScale: options.cfgScale,
+      sampler: options.sampler,
     };
   },
   {
@@ -34,7 +34,7 @@ const sdSelector = createSelector(
  */
 const SamplerOptions = () => {
   const dispatch = useAppDispatch();
-  const { steps, cfgScale, sampler } = useAppSelector(sdSelector);
+  const { steps, cfgScale, sampler } = useAppSelector(optionsSelector);
 
   const handleChangeSteps = (v: string | number) =>
     dispatch(setSteps(Number(v)));
diff --git a/frontend/src/features/sd/SeedVariationOptions.tsx b/frontend/src/features/options/SeedVariationOptions.tsx
similarity index 89%
rename from frontend/src/features/sd/SeedVariationOptions.tsx
rename to frontend/src/features/options/SeedVariationOptions.tsx
index 082ab0d46a..abcd8d3f7a 100644
--- a/frontend/src/features/sd/SeedVariationOptions.tsx
+++ b/frontend/src/features/options/SeedVariationOptions.tsx
@@ -18,25 +18,25 @@ import SDSwitch from '../../common/components/SDSwitch';
 import randomInt from '../../common/util/randomInt';
 import { validateSeedWeights } from '../../common/util/seedWeightPairs';
 import {
-  SDState,
+  OptionsState,
   setIterations,
   setSeed,
   setSeedWeights,
   setShouldGenerateVariations,
   setShouldRandomizeSeed,
   setVariationAmount,
-} from './sdSlice';
+} from './optionsSlice';
 
-const sdSelector = createSelector(
-  (state: RootState) => state.sd,
-  (sd: SDState) => {
+const optionsSelector = createSelector(
+  (state: RootState) => state.options,
+  (options: OptionsState) => {
     return {
-      variationAmount: sd.variationAmount,
-      seedWeights: sd.seedWeights,
-      shouldGenerateVariations: sd.shouldGenerateVariations,
-      shouldRandomizeSeed: sd.shouldRandomizeSeed,
-      seed: sd.seed,
-      iterations: sd.iterations,
+      variationAmount: options.variationAmount,
+      seedWeights: options.seedWeights,
+      shouldGenerateVariations: options.shouldGenerateVariations,
+      shouldRandomizeSeed: options.shouldRandomizeSeed,
+      seed: options.seed,
+      iterations: options.iterations,
     };
   },
   {
@@ -57,7 +57,7 @@ const SeedVariationOptions = () => {
     shouldRandomizeSeed,
     seed,
     iterations,
-  } = useAppSelector(sdSelector);
+  } = useAppSelector(optionsSelector);
 
   const dispatch = useAppDispatch();
 
diff --git a/frontend/src/features/sd/sdSlice.ts b/frontend/src/features/options/optionsSlice.ts
similarity index 62%
rename from frontend/src/features/sd/sdSlice.ts
rename to frontend/src/features/options/optionsSlice.ts
index d8dfd2012d..2303315123 100644
--- a/frontend/src/features/sd/sdSlice.ts
+++ b/frontend/src/features/options/optionsSlice.ts
@@ -1,10 +1,12 @@
 import { createSlice } from '@reduxjs/toolkit';
 import type { PayloadAction } from '@reduxjs/toolkit';
-import { SDMetadata } from '../gallery/gallerySlice';
+import * as InvokeAI from '../../app/invokeai';
+import promptToString from '../../common/util/promptToString';
+import { seedWeightsToString } from '../../common/util/seedWeightPairs';
 
 export type UpscalingLevel = 2 | 4;
 
-export interface SDState {
+export interface OptionsState {
   prompt: string;
   iterations: number;
   steps: number;
@@ -30,7 +32,7 @@ export interface SDState {
   shouldRandomizeSeed: boolean;
 }
 
-const initialSDState: SDState = {
+const initialOptionsState: OptionsState = {
   prompt: '',
   iterations: 1,
   steps: 50,
@@ -56,14 +58,19 @@ const initialSDState: SDState = {
   shouldRandomizeSeed: true,
 };
 
-const initialState: SDState = initialSDState;
+const initialState: OptionsState = initialOptionsState;
 
-export const sdSlice = createSlice({
-  name: 'sd',
+export const optionsSlice = createSlice({
+  name: 'options',
   initialState,
   reducers: {
-    setPrompt: (state, action: PayloadAction<string>) => {
-      state.prompt = action.payload;
+    setPrompt: (state, action: PayloadAction<string | InvokeAI.Prompt>) => {
+      const newPrompt = action.payload;
+      if (typeof newPrompt === 'string') {
+        state.prompt = newPrompt;
+      } else {
+        state.prompt = promptToString(newPrompt);
+      }
     },
     setIterations: (state, action: PayloadAction<number>) => {
       state.iterations = action.payload;
@@ -143,65 +150,89 @@ export const sdSlice = createSlice({
     setSeedWeights: (state, action: PayloadAction<string>) => {
       state.seedWeights = action.payload;
     },
-    setAllParameters: (state, action: PayloadAction<SDMetadata>) => {
-      // TODO: This probably needs to be refactored.
+    setAllParameters: (state, action: PayloadAction<InvokeAI.Metadata>) => {
       const {
-        prompt,
-        steps,
-        cfgScale,
-        height,
-        width,
+        type,
+        postprocessing,
         sampler,
+        prompt,
         seed,
-        img2imgStrength,
-        gfpganStrength,
-        upscalingLevel,
-        upscalingStrength,
-        initialImagePath,
-        maskPath,
+        variations,
+        steps,
+        cfg_scale,
         seamless,
-        shouldFitToWidthHeight,
-      } = action.payload;
+        width,
+        height,
+        strength,
+        fit,
+        init_image_path,
+        mask_image_path,
+      } = action.payload.image;
 
-      // ?? = falsy values ('', 0, etc) are used
-      // || = falsy values not used
-      state.prompt = prompt ?? state.prompt;
-      state.steps = steps || state.steps;
-      state.cfgScale = cfgScale || state.cfgScale;
-      state.width = width || state.width;
-      state.height = height || state.height;
-      state.sampler = sampler || state.sampler;
-      state.seed = seed ?? state.seed;
-      state.seamless = seamless ?? state.seamless;
-      state.shouldFitToWidthHeight =
-        shouldFitToWidthHeight ?? state.shouldFitToWidthHeight;
-      state.img2imgStrength = img2imgStrength ?? state.img2imgStrength;
-      state.gfpganStrength = gfpganStrength ?? state.gfpganStrength;
-      state.upscalingLevel = upscalingLevel ?? state.upscalingLevel;
-      state.upscalingStrength = upscalingStrength ?? state.upscalingStrength;
-      state.initialImagePath = initialImagePath ?? state.initialImagePath;
-      state.maskPath = maskPath ?? state.maskPath;
+      if (type === 'img2img') {
+        if (init_image_path) state.initialImagePath = init_image_path;
+        if (mask_image_path) state.maskPath = mask_image_path;
+        if (strength) state.img2imgStrength = strength;
+        if (typeof fit === 'boolean') state.shouldFitToWidthHeight = fit;
+        state.shouldUseInitImage = true;
+      } else {
+        state.shouldUseInitImage = false;
+      }
+
+      if (variations && variations.length > 0) {
+        state.seedWeights = seedWeightsToString(variations);
+        state.shouldGenerateVariations = true;
+      } else {
+        state.shouldGenerateVariations = false;
+      }
 
-      // If the image whose parameters we are using has a seed, disable randomizing the seed
       if (seed) {
+        state.seed = seed;
         state.shouldRandomizeSeed = false;
       }
 
-      // if we have a gfpgan strength, enable it
-      state.shouldRunGFPGAN = gfpganStrength ? true : false;
+      let postprocessingNotDone = ['gfpgan', 'esrgan'];
+      if (postprocessing && postprocessing.length > 0) {
+        postprocessing.forEach(
+          (postprocess: InvokeAI.PostProcessedImageMetadata) => {
+            if (postprocess.type === 'gfpgan') {
+              const { strength } = postprocess;
+              if (strength) state.gfpganStrength = strength;
+              state.shouldRunGFPGAN = true;
+              postprocessingNotDone = postprocessingNotDone.filter(
+                (p) => p !== 'gfpgan'
+              );
+            }
+            if (postprocess.type === 'esrgan') {
+              const { scale, strength } = postprocess;
+              if (scale) state.upscalingLevel = scale;
+              if (strength) state.upscalingStrength = strength;
+              state.shouldRunESRGAN = true;
+              postprocessingNotDone = postprocessingNotDone.filter(
+                (p) => p !== 'esrgan'
+              );
+            }
+          }
+        );
+      }
 
-      // if we have a esrgan strength, enable it
-      state.shouldRunESRGAN = upscalingLevel ? true : false;
+      postprocessingNotDone.forEach((p) => {
+        if (p === 'esrgan') state.shouldRunESRGAN = false;
+        if (p === 'gfpgan') state.shouldRunGFPGAN = false;
+      });
 
-      // if we want to recreate an image exactly, we disable variations
-      state.shouldGenerateVariations = false;
-
-      state.shouldUseInitImage = initialImagePath ? true : false;
+      if (prompt) state.prompt = promptToString(prompt);
+      if (sampler) state.sampler = sampler;
+      if (steps) state.steps = steps;
+      if (cfg_scale) state.cfgScale = cfg_scale;
+      if (typeof seamless === 'boolean') state.seamless = seamless;
+      if (width) state.width = width;
+      if (height) state.height = height;
     },
-    resetSDState: (state) => {
+    resetOptionsState: (state) => {
       return {
         ...state,
-        ...initialSDState,
+        ...initialOptionsState,
       };
     },
     setShouldRunGFPGAN: (state, action: PayloadAction<boolean>) => {
@@ -234,7 +265,7 @@ export const {
   setInitialImagePath,
   setMaskPath,
   resetSeed,
-  resetSDState,
+  resetOptionsState,
   setShouldFitToWidthHeight,
   setParameter,
   setShouldGenerateVariations,
@@ -244,6 +275,6 @@ export const {
   setShouldRunGFPGAN,
   setShouldRunESRGAN,
   setShouldRandomizeSeed,
-} = sdSlice.actions;
+} = optionsSlice.actions;
 
-export default sdSlice.reducer;
+export default optionsSlice.reducer;
diff --git a/frontend/src/features/header/ProgressBar.tsx b/frontend/src/features/system/ProgressBar.tsx
similarity index 100%
rename from frontend/src/features/header/ProgressBar.tsx
rename to frontend/src/features/system/ProgressBar.tsx
diff --git a/frontend/src/features/header/SiteHeader.tsx b/frontend/src/features/system/SiteHeader.tsx
similarity index 97%
rename from frontend/src/features/header/SiteHeader.tsx
rename to frontend/src/features/system/SiteHeader.tsx
index df8ed4f88e..20bf91ebeb 100644
--- a/frontend/src/features/header/SiteHeader.tsx
+++ b/frontend/src/features/system/SiteHeader.tsx
@@ -62,7 +62,7 @@ const SiteHeader = () => {
 
   return (
     <Flex minWidth="max-content" alignItems="center" gap="1" pl={2} pr={1}>
-      <Heading size={'lg'}>Stable Diffusion Dream Server</Heading>
+      <Heading size={'lg'}>InvokeUI</Heading>
 
       <Spacer />
 
diff --git a/frontend/src/features/system/systemSlice.ts b/frontend/src/features/system/systemSlice.ts
index 3bed00b56a..f3d8295b05 100644
--- a/frontend/src/features/system/systemSlice.ts
+++ b/frontend/src/features/system/systemSlice.ts
@@ -1,6 +1,7 @@
 import { createSlice } from '@reduxjs/toolkit';
 import type { PayloadAction } from '@reduxjs/toolkit';
 import { ExpandedIndex } from '@chakra-ui/react';
+import * as InvokeAI from '../../app/invokeai'
 
 export type LogLevel = 'info' | 'warning' | 'error';
 
@@ -14,17 +15,7 @@ export interface Log {
   [index: number]: LogEntry;
 }
 
-export interface SystemStatus {
-  isProcessing: boolean;
-  currentStep: number;
-  totalSteps: number;
-  currentIteration: number;
-  totalIterations: number;
-  currentStatus: string;
-  currentStatusHasSteps: boolean;
-}
-
-export interface SystemState extends SystemStatus {
+export interface SystemState extends InvokeAI.SystemStatus, InvokeAI.SystemConfig {
   shouldDisplayInProgress: boolean;
   log: Array<LogEntry>;
   shouldShowLogViewer: boolean;
@@ -59,6 +50,11 @@ const initialSystemState = {
   totalIterations: 0,
   currentStatus: '',
   currentStatusHasSteps: false,
+  model: '',
+  model_id: '',
+  model_hash: '',
+  app_id: '',
+  app_version: '',
 };
 
 const initialState: SystemState = initialSystemState;
@@ -76,7 +72,7 @@ export const systemSlice = createSlice({
     setCurrentStatus: (state, action: PayloadAction<string>) => {
       state.currentStatus = action.payload;
     },
-    setSystemStatus: (state, action: PayloadAction<SystemStatus>) => {
+    setSystemStatus: (state, action: PayloadAction<InvokeAI.SystemStatus>) => {
       const currentStatus =
         !action.payload.isProcessing && state.isConnected
           ? 'Connected'
@@ -118,6 +114,9 @@ export const systemSlice = createSlice({
     setOpenAccordions: (state, action: PayloadAction<ExpandedIndex>) => {
       state.openAccordions = action.payload;
     },
+    setSystemConfig: (state, action: PayloadAction<InvokeAI.SystemConfig>) => {
+      return { ...state, ...action.payload };
+    },
   },
 });
 
@@ -132,6 +131,7 @@ export const {
   setOpenAccordions,
   setSystemStatus,
   setCurrentStatus,
+  setSystemConfig,
 } = systemSlice.actions;
 
 export default systemSlice.reducer;
diff --git a/frontend/yarn.lock b/frontend/yarn.lock
index fc9c82e94a..1286741991 100644
--- a/frontend/yarn.lock
+++ b/frontend/yarn.lock
@@ -419,6 +419,13 @@
     compute-scroll-into-view "1.0.14"
     copy-to-clipboard "3.3.1"
 
+"@chakra-ui/icon@3.0.10":
+  version "3.0.10"
+  resolved "https://registry.yarnpkg.com/@chakra-ui/icon/-/icon-3.0.10.tgz#1a11b5edb42a8af7aa5b6dec2bf2c6c4df1869fc"
+  integrity sha512-utO569d9bptEraJrEhuImfNzQ8v+a8PsQh8kTsodCzg8B16R3t5TTuoqeJqS6Nq16Vq6w87QbX3/4A73CNK5fw==
+  dependencies:
+    "@chakra-ui/shared-utils" "2.0.1"
+
 "@chakra-ui/icon@3.0.9":
   version "3.0.9"
   resolved "https://registry.yarnpkg.com/@chakra-ui/icon/-/icon-3.0.9.tgz#ba127d9eefd727f62e9bce07a23eca39ae506744"
@@ -426,6 +433,13 @@
   dependencies:
     "@chakra-ui/shared-utils" "2.0.1"
 
+"@chakra-ui/icons@^2.0.10":
+  version "2.0.10"
+  resolved "https://registry.yarnpkg.com/@chakra-ui/icons/-/icons-2.0.10.tgz#61aeb44c913c10e7ff77addc798494e50d66c760"
+  integrity sha512-hxMspvysOay2NsJyadM611F/Y4vVzJU/YkXTxsyBjm6v/DbENhpVmPnUf+kwwyl7dINNb9iOF+kuGxnuIEO1Tw==
+  dependencies:
+    "@chakra-ui/icon" "3.0.10"
+
 "@chakra-ui/image@2.0.10":
   version "2.0.10"
   resolved "https://registry.yarnpkg.com/@chakra-ui/image/-/image-2.0.10.tgz#712c0e1c579d959225bd8316d8d8f66cbeb95bb8"

From f06f69a81a35984517a328611a393acff45eb9a8 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Tue, 20 Sep 2022 23:25:04 +1000
Subject: [PATCH 096/110] Removes unused file

---
 backend/modules/metadata.py | 87 -------------------------------------
 1 file changed, 87 deletions(-)
 delete mode 100644 backend/modules/metadata.py

diff --git a/backend/modules/metadata.py b/backend/modules/metadata.py
deleted file mode 100644
index 60c083ef8b..0000000000
--- a/backend/modules/metadata.py
+++ /dev/null
@@ -1,87 +0,0 @@
-def parameters_to_metadata(opt,
-                   seeds=[],
-                   model_hash=None,
-                   postprocessing=None):
-    '''
-    Given an Args object, returns a dict containing the keys and
-    structure of the proposed stable diffusion metadata standard
-    https://github.com/lstein/stable-diffusion/discussions/392
-    This is intended to be turned into JSON and stored in the 
-    "sd
-    '''
-
-    # top-level metadata minus `image` or `images`
-    metadata = {
-        'model'       : 'stable diffusion',
-        'model_id'    : opt.model,
-        'model_hash'  : model_hash,
-        'app_id'      : APP_ID,
-        'app_version' : APP_VERSION,
-    }
-
-    # add some RFC266 fields that are generated internally, and not as
-    # user args
-    image_dict = opt.to_dict(
-        postprocessing=postprocessing
-    )
-
-    # 'postprocessing' is either null or an array of postprocessing metadatal
-    if postprocessing:
-        # TODO: This is just a hack until postprocessing pipeline work completed
-        image_dict['postprocessing'] = []
-
-        if image_dict['gfpgan_strength'] and image_dict['gfpgan_strength'] > 0:
-            image_dict['postprocessing'].append('GFPGAN (not RFC compliant)')
-        if image_dict['upscale'] and image_dict['upscale'][0] > 0:
-            image_dict['postprocessing'].append('ESRGAN (not RFC compliant)')
-    else:
-        image_dict['postprocessing'] = None
-
-    # remove any image keys not mentioned in RFC #266
-    rfc266_img_fields = ['type','postprocessing','sampler','prompt','seed','variations','steps',
-                         'cfg_scale','step_number','width','height','extra','strength']
-
-    rfc_dict ={}
-
-    for item in image_dict.items():
-        key,value = item
-        if key in rfc266_img_fields:
-            rfc_dict[key] = value
-
-    # semantic drift
-    rfc_dict['sampler']  = image_dict.get('sampler_name',None)
-
-    # display weighted subprompts (liable to change)
-    if opt.prompt:
-        subprompts = split_weighted_subprompts(opt.prompt)
-        subprompts = [{'prompt':x[0],'weight':x[1]} for x in subprompts]
-        rfc_dict['prompt'] = subprompts
-
-    # 'variations' should always exist and be an array, empty or consisting of {'seed': seed, 'weight': weight} pairs
-    rfc_dict['variations'] = [{'seed':x[0],'weight':x[1]} for x in opt.with_variations] if opt.with_variations else []
-
-    if opt.init_img:
-        rfc_dict['type']           = 'img2img'
-        rfc_dict['strength_steps'] = rfc_dict.pop('strength')
-        rfc_dict['orig_hash']      = calculate_init_img_hash(opt.init_img)
-        rfc_dict['sampler']        = 'ddim'  # TODO: FIX ME WHEN IMG2IMG SUPPORTS ALL SAMPLERS
-    else:
-        rfc_dict['type']  = 'txt2img'
-        rfc_dict.pop('strength')
-
-    if len(seeds)==0 and opt.seed:
-        seeds=[seed]
-
-    if opt.grid:
-        images = []
-        for seed in seeds:
-            rfc_dict['seed'] = seed
-            images.append(copy.copy(rfc_dict))
-        metadata['images'] = images
-    else:
-        # there should only ever be a single seed if we did not generate a grid
-        assert len(seeds) == 1, 'Expected a single seed'
-        rfc_dict['seed'] = seeds[0]
-        metadata['image'] = rfc_dict
-
-    return metadata

From cae0579ba943c1ca9377a6d0059853634c0a044f Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 21 Sep 2022 00:25:49 +1000
Subject: [PATCH 097/110] Fixes bug with unused parser

---
 backend/server.py | 7 +------
 1 file changed, 1 insertion(+), 6 deletions(-)

diff --git a/backend/server.py b/backend/server.py
index 7518f41c5b..563e999f53 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -151,17 +151,12 @@ def handle_request_capabilities():
 @socketio.on("requestAllImages")
 def handle_request_all_images():
     print(f">> All images requested")
-    parser = create_cmd_parser()
     paths = list(filter(os.path.isfile, glob.glob(result_path + "*.png")))
     paths.sort(key=lambda x: os.path.getmtime(x))
     image_array = []
     for path in paths:
         # image = Image.open(path)
-        all_metadata = retrieve_metadata(path)
-        if "Dream" in all_metadata and not all_metadata["sd-metadata"]:
-            metadata = vars(parser.parse_args(shlex.split(all_metadata["Dream"])))
-        else:
-            metadata = all_metadata["sd-metadata"]
+        metadata = retrieve_metadata(path)
         image_array.append({"url": path, "metadata": metadata})
     socketio.emit("galleryImages", {"images": image_array})
     eventlet.sleep(0)

From 3e8a861fc021a9fc6f5cc89128534f03d90abe1e Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 21 Sep 2022 00:26:05 +1000
Subject: [PATCH 098/110] Fixes missing seed in filename

---
 backend/server.py | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/backend/server.py b/backend/server.py
index 563e999f53..d03f26fc3e 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -36,7 +36,10 @@ output_dir = "outputs/"  # Base output directory for images
 # host = 'localhost'  # Web & socket.io host
 host = "localhost"  # Web & socket.io host
 port = 9090  # Web & socket.io port
-
+verbose = False  # enables copious socket.io logging
+additional_allowed_origins = [
+    "http://localhost:5173"
+]  # additional CORS allowed origins
 model = "stable-diffusion-1.4"
 
 """
@@ -502,12 +505,10 @@ def write_log_message(message, log_path=log_path):
 def save_image(
     image, command, metadata, output_dir, step_index=None, postprocessing=False
 ):
-    seed = metadata["seed"] if "seed" in metadata else "unknown_seed"
-
     pngwriter = PngWriter(output_dir)
     prefix = pngwriter.unique_prefix()
 
-    filename = f"{prefix}.{seed}"
+    filename = f"{prefix}.{metadata['image']['seed']}"
 
     if step_index:
         filename += f".{step_index}"

From 1ee3023cdd2aea8296cfd880a7d3549149fdd300 Mon Sep 17 00:00:00 2001
From: psychedelicious <4822129+psychedelicious@users.noreply.github.com>
Date: Wed, 21 Sep 2022 00:44:57 +1000
Subject: [PATCH 099/110] Fixes cascading bugs

---
 backend/server.py | 11 ++++++++---
 1 file changed, 8 insertions(+), 3 deletions(-)

diff --git a/backend/server.py b/backend/server.py
index d03f26fc3e..11d6c61502 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -158,9 +158,8 @@ def handle_request_all_images():
     paths.sort(key=lambda x: os.path.getmtime(x))
     image_array = []
     for path in paths:
-        # image = Image.open(path)
         metadata = retrieve_metadata(path)
-        image_array.append({"url": path, "metadata": metadata})
+        image_array.append({"url": path, "metadata": metadata["sd-metadata"]})
     socketio.emit("galleryImages", {"images": image_array})
     eventlet.sleep(0)
 
@@ -508,7 +507,13 @@ def save_image(
     pngwriter = PngWriter(output_dir)
     prefix = pngwriter.unique_prefix()
 
-    filename = f"{prefix}.{metadata['image']['seed']}"
+    seed = "unknown_seed"
+
+    if "image" in metadata:
+        if "seed" in metadata["image"]:
+            seed = metadata["image"]["seed"]
+
+    filename = f"{prefix}.{seed}"
 
     if step_index:
         filename += f".{step_index}"

From c08eedf264bfa87b7f5c40199c00d61f05e8ac4d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=86=AF=E4=B8=8D=E6=B8=B8?=
 <71683364+mefengl@users.noreply.github.com>
Date: Sun, 18 Sep 2022 13:21:43 +0800
Subject: [PATCH 100/110] Delete redundant backquotes

remove extra space
---
 docs/installation/INSTALL_MAC.md | 22 +++++++++++-----------
 1 file changed, 11 insertions(+), 11 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 71535980f5..315dfbd4c9 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -45,11 +45,11 @@ First get the weights checkpoint download started - it's big:
 # NOW EITHER DO
 # 1. Installing alongside pyenv
 
-  brew install pyenv-virtualenv # you might have this from before, no problem
-  pyenv install anaconda3-2022.05
-  pyenv virtualenv anaconda3-2022.05
-  eval "$(pyenv init -)"
-  pyenv activate anaconda3-2022.05
+brew install pyenv-virtualenv # you might have this from before, no problem
+pyenv install anaconda3-2022.05
+pyenv virtualenv anaconda3-2022.05
+eval "$(pyenv init -)"
+pyenv activate anaconda3-2022.05
 
 # OR,
 # 2. Installing standalone
@@ -69,19 +69,19 @@ curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -o M
 # continue from here
 
 # clone the repo
-  git clone https://github.com/lstein/stable-diffusion.git
-  cd stable-diffusion
+git clone https://github.com/lstein/stable-diffusion.git
+cd stable-diffusion
 
 #
 # wait until the checkpoint file has downloaded, then proceed
 #
 
 # create symlink to checkpoint
-  mkdir -p models/ldm/stable-diffusion-v1/
+mkdir -p models/ldm/stable-diffusion-v1/
 
-  PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
+PATH_TO_CKPT="$HOME/Downloads"  # or wherever you saved sd-v1-4.ckpt
 
-  ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
+ln -s "$PATH_TO_CKPT/sd-v1-4.ckpt" models/ldm/stable-diffusion-v1/model.ckpt
 
 # install packages for arm64
 PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac.yaml
@@ -189,7 +189,7 @@ There are several causes of these errors.
 - Third, if it says you're missing taming you need to rebuild your virtual
   environment.
 
-````bash
+```bash
 conda deactivate
 
 conda env remove -n ldm

From e902b50bfc6f3c635da41062ab045760df77226a Mon Sep 17 00:00:00 2001
From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com>
Date: Tue, 20 Sep 2022 23:22:13 +1200
Subject: [PATCH 101/110] Update Logo Colors

---
 docs/assets/logo.png | Bin 22220 -> 23056 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/docs/assets/logo.png b/docs/assets/logo.png
index fa0548ff78c7171d850ee6451b6a36f1559f5f3e..b6eb33a6db5c47f02b62f780d07c4a3930c232b2 100644
GIT binary patch
delta 21630
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T9$V6E8Nlz7G0LdY&@JwN{oNUU


From e8e6be0ebe76c1233748499735dc1d3568c0e202 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lincoln.stein@gmail.com>
Date: Tue, 20 Sep 2022 16:14:33 -0400
Subject: [PATCH 102/110] change WebGUI title to InvokeAI

---
 frontend/index.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/frontend/index.html b/frontend/index.html
index 2bccd6972e..df66231735 100644
--- a/frontend/index.html
+++ b/frontend/index.html
@@ -3,7 +3,7 @@
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Stable Diffusion Dream Server</title>
+    <title>InvokeAI Stable Diffusion Dream Server</title>
   </head>
   <body>
     <div id="root"></div>

From c0e1fb5f7144995adbea3268f4c2e564aeca229b Mon Sep 17 00:00:00 2001
From: Ben Alkov <ben.alkov@gmail.com>
Date: Sun, 18 Sep 2022 14:23:14 -0400
Subject: [PATCH 103/110] feat(ci): add pyproject.toml with `blue` config

Signed-off-by: Ben Alkov <ben.alkov@gmail.com>
---
 pyproject.toml | 3 +++
 1 file changed, 3 insertions(+)
 create mode 100644 pyproject.toml

diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000000..5df66dd42b
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,3 @@
+[tool.blue]
+line-length = 90
+target-version = ['py310']

From cc0cf147c8cd27e75a5bf4d40cf115204517b1ef Mon Sep 17 00:00:00 2001
From: Andreas Rozek <A.Rozek@gmx.de>
Date: Sun, 18 Sep 2022 16:12:59 +0200
Subject: [PATCH 104/110] Update INSTALL_MAC.md

1. let users install Rust right at the beginning in order to avoid some troubleshooting later on
2. add "conda deactivate" for troubleshooting once ldm was activated

Fix conflict

Update INSTALL_MAC.md
---
 docs/installation/INSTALL_MAC.md | 17 ++++++++---------
 1 file changed, 8 insertions(+), 9 deletions(-)

diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 71535980f5..220cd54fbf 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -36,6 +36,7 @@ First get the weights checkpoint download started - it's big:
 
 /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
 
+#
 # Now there are two different routes to get the Python (miniconda) environment up and running:
 # 1. Alongside pyenv
 # 2. No pyenv
@@ -45,16 +46,16 @@ First get the weights checkpoint download started - it's big:
 # NOW EITHER DO
 # 1. Installing alongside pyenv
 
-  brew install pyenv-virtualenv # you might have this from before, no problem
-  pyenv install anaconda3-2022.05
-  pyenv virtualenv anaconda3-2022.05
-  eval "$(pyenv init -)"
-  pyenv activate anaconda3-2022.05
+brew install rust pyenv-virtualenv # you might have this from before, no problem
+pyenv install anaconda3-2022.05
+pyenv virtualenv anaconda3-2022.05
+eval "$(pyenv init -)"
+pyenv activate anaconda3-2022.05
 
 # OR,
 # 2. Installing standalone
 # install python 3, git, cmake, protobuf:
-brew install cmake protobuf rust
+brew install cmake rust
 
 # install miniconda for M1 arm64:
 curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o Miniconda3-latest-MacOSX-arm64.sh
@@ -191,10 +192,8 @@ There are several causes of these errors.
 
 ````bash
 conda deactivate
-
 conda env remove -n ldm
-PIP_EXISTS_ACTION=w CONDA_SUBDIR=osx-arm64 conda env create -f environment-mac.yaml
-```
+conda env create -f environment-mac.yaml
 
 Fourth, If you have activated the ldm virtual environment and tried rebuilding
 it, maybe the problem could be that I have something installed that you don't

From 7a6587d3dd121efcbf733a55e625677f5b6e8083 Mon Sep 17 00:00:00 2001
From: Andreas Rozek <A.Rozek@gmx.de>
Date: Sun, 18 Sep 2022 16:25:17 +0200
Subject: [PATCH 105/110] Update environment-mac.yaml

---
 environment-mac.yaml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/environment-mac.yaml b/environment-mac.yaml
index bf8e870d77..95f38438e2 100644
--- a/environment-mac.yaml
+++ b/environment-mac.yaml
@@ -32,6 +32,7 @@ dependencies:
   - omegaconf==2.1.1
   - onnx==1.12.0
   - onnxruntime==1.12.1
+  - protobuf==3.20.1
   - pudb==2022.1
   - pytorch-lightning==1.6.5
   - scipy==1.9.1

From a28636dd4aa6a838304474dfea0014c5baeb0bff Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=86=AF=E4=B8=8D=E6=B8=B8?=
 <71683364+mefengl@users.noreply.github.com>
Date: Fri, 16 Sep 2022 17:21:54 +0800
Subject: [PATCH 106/110] add markdown log option

---
 scripts/dream.py | 24 ++++++++++++++++++------
 1 file changed, 18 insertions(+), 6 deletions(-)

diff --git a/scripts/dream.py b/scripts/dream.py
index 857b5637aa..d8a1eaa54d 100755
--- a/scripts/dream.py
+++ b/scripts/dream.py
@@ -292,8 +292,8 @@ def main_loop(gen, opt, infile):
             continue
 
         print('Outputs:')
-        log_path = os.path.join(current_outdir, 'dream_log.txt')
-        write_log_message(results, log_path)
+        log_path = os.path.join(current_outdir, 'dream_log')
+        write_log_message(results, log_path ,('txt', 'md'))
         print()
 
     print('goodbye!')
@@ -339,17 +339,29 @@ def dream_server_loop(gen, host, port, outdir):
     dream_server.server_close()
 
 
-def write_log_message(results, log_path):
+def write_log_message(results, log_path, file_types):
     """logs the name of the output image, prompt, and prompt args to the terminal and log file"""
     global output_cntr
     log_lines = [f'{path}: {prompt}\n' for path, prompt in results]
     for l in log_lines:
         output_cntr += 1
         print(f'[{output_cntr}] {l}',end='')
+    for file_type in file_types:
+        if file_type == 'txt':
+            with open(log_path + '.txt', 'a', encoding='utf-8') as file:
+                file.writelines(log_lines)
+        elif file_type == 'md' or file_type == 'markdown':
+            md_lines = []
+            for path,prompt in results:
+                file_name = os.path.basename(path)
+                md_lines.append(f'## {file_name}\n![]({file_name})\n{prompt}\n')
+            with open(log_path + '.md', 'a', encoding='utf-8') as file:
+                file.writelines(md_lines)
+        else:
+            print(f"'{file_type}' format is not supported, so write in plain text")
+            with open(log_path + '.' + file_type, 'a', encoding='utf-8') as file:
+                file.writelines(log_lines)
 
 
-    with open(log_path, 'a', encoding='utf-8') as file:
-        file.writelines(log_lines)
-
 if __name__ == '__main__':
     main()

From e02bfd00a8e0a67519c10e98f2df2df23ac2a71b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=86=AF=E4=B8=8D=E6=B8=B8?=
 <71683364+mefengl@users.noreply.github.com>
Date: Fri, 16 Sep 2022 21:03:24 +0800
Subject: [PATCH 107/110] create ldm.dream.log

---
 ldm/dream/log.py | 61 ++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 61 insertions(+)
 create mode 100644 ldm/dream/log.py

diff --git a/ldm/dream/log.py b/ldm/dream/log.py
new file mode 100644
index 0000000000..783a62d4f9
--- /dev/null
+++ b/ldm/dream/log.py
@@ -0,0 +1,61 @@
+"""
+Functions for better format logging
+    write_log -- logs the name of the output image, prompt, and prompt args to the terminal and different types of file
+        1 write_log_message -- Writes a message to the console
+        2 write_log_files -- Writes a message to files
+        2.1 write_log_default -- File in plain text
+        2.2 write_log_txt -- File in txt format
+        2.3 write_log_markdown -- File in markdown format
+"""
+
+import os
+
+
+def write_log(results, log_path, file_types, output_cntr):
+    """
+    logs the name of the output image, prompt, and prompt args to the terminal and files
+    """
+    output_cntr = write_log_message(results, output_cntr)
+    write_log_files(results, log_path, file_types)
+    return output_cntr
+
+
+def write_log_message(results, output_cntr):
+    """logs to the terminal"""
+    log_lines = [f"{path}: {prompt}\n" for path, prompt in results]
+    for l in log_lines:
+        output_cntr += 1
+        print(f"[{output_cntr}] {l}", end="")
+    return output_cntr
+
+
+def write_log_files(results, log_path, file_types):
+    for file_type in file_types:
+        if file_type == "txt":
+            write_log_txt(log_path, results)
+        elif file_type == "md" or file_type == "markdown":
+            write_log_markdown(log_path, results)
+        else:
+            print(f"'{file_type}' format is not supported, so write in plain text")
+            write_log_default(log_path, results, file_type)
+
+
+def write_log_default(log_path, results, file_type):
+    plain_txt_lines = [f"{path}: {prompt}\n" for path, prompt in results]
+    with open(log_path + "." + file_type, "a", encoding="utf-8") as file:
+        file.writelines(plain_txt_lines)
+
+
+def write_log_txt(log_path, results):
+    txt_lines = [f"{path}: {prompt}\n" for path, prompt in results]
+    with open(log_path + ".txt", "a", encoding="utf-8") as file:
+        file.writelines(txt_lines)
+
+
+def write_log_markdown(log_path, results):
+    md_lines = []
+    for path, prompt in results:
+        file_name = os.path.basename(path)
+        md_lines.append(f"## {file_name}\n![]({file_name})\n\n{prompt}\n")
+    with open(log_path + ".md", "a", encoding="utf-8") as file:
+        file.writelines(md_lines)

From 30de9fcfae36a80b36f07a832734e4ef552181af Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?=E5=86=AF=E4=B8=8D=E6=B8=B8?=
 <71683364+mefengl@users.noreply.github.com>
Date: Fri, 16 Sep 2022 21:03:41 +0800
Subject: [PATCH 108/110] switch to ldm.dream.log

---
 scripts/dream.py | 28 +++-------------------------
 1 file changed, 3 insertions(+), 25 deletions(-)

diff --git a/scripts/dream.py b/scripts/dream.py
index d8a1eaa54d..d11c87dc67 100755
--- a/scripts/dream.py
+++ b/scripts/dream.py
@@ -12,6 +12,7 @@ from ldm.dream.args import Args, metadata_dumps
 from ldm.dream.pngwriter import PngWriter
 from ldm.dream.server import DreamServer, ThreadingDreamServer
 from ldm.dream.image_util import make_grid
+from ldm.dream.log import write_log
 from omegaconf import OmegaConf
 
 # Placeholder to be replaced with proper class that tracks the
@@ -293,7 +294,8 @@ def main_loop(gen, opt, infile):
 
         print('Outputs:')
         log_path = os.path.join(current_outdir, 'dream_log')
-        write_log_message(results, log_path ,('txt', 'md'))
+        global output_cntr
+        output_cntr = write_log(results, log_path ,('txt', 'md'), output_cntr)
         print()
 
     print('goodbye!')
@@ -339,29 +341,5 @@ def dream_server_loop(gen, host, port, outdir):
     dream_server.server_close()
 
 
-def write_log_message(results, log_path, file_types):
-    """logs the name of the output image, prompt, and prompt args to the terminal and log file"""
-    global output_cntr
-    log_lines = [f'{path}: {prompt}\n' for path, prompt in results]
-    for l in log_lines:
-        output_cntr += 1
-        print(f'[{output_cntr}] {l}',end='')
-    for file_type in file_types:
-        if file_type == 'txt':
-            with open(log_path + '.txt', 'a', encoding='utf-8') as file:
-                file.writelines(log_lines)
-        elif file_type == 'md' or file_type == 'markdown':
-            md_lines = []
-            for path,prompt in results:
-                file_name = os.path.basename(path)
-                md_lines.append(f'## {file_name}\n![]({file_name})\n{prompt}\n')
-            with open(log_path + '.md', 'a', encoding='utf-8') as file:
-                file.writelines(md_lines)
-        else:
-            print(f"'{file_type}' format is not supported, so write in plain text")
-            with open(log_path + '.' + file_type, 'a', encoding='utf-8') as file:
-                file.writelines(log_lines)
-
-
 if __name__ == '__main__':
     main()

From d176fb07cda8cc591f8c0e34b9bdc42374475dbb Mon Sep 17 00:00:00 2001
From: Mihail Dumitrescu <mihai.dumitresq@gmail.com>
Date: Sat, 17 Sep 2022 20:56:25 +0300
Subject: [PATCH 109/110] Replace --full_precision with --precision that works
 even if not specified

Allowed values are 'auto', 'float32', 'autocast', 'float16'. If not specified or 'auto' a working precision is automatically selected based on the torch device.
Context: #526
Deprecated --full_precision / -F

Tested on both cuda and cpu by calling scripts/dream.py without arguments and checked the auto configuration worked. With --precision=auto/float32/autocast/float16 it performs as expected, either working or failing with a reasonable error. Also checked Img2Img.
---
 .../test_regression_txt2img_dream_v1_4.sh     |  3 +-
 .github/workflows/test-dream-conda.yml        |  4 +-
 README.md                                     | 18 ++++----
 docs/features/CLI.md                          |  2 +-
 docs/features/TEXTUAL_INVERSION.md            |  4 +-
 docs/index.md                                 | 16 +++----
 docs/installation/INSTALL_MAC.md              |  4 +-
 ldm/dream/args.py                             | 18 +++++++-
 ldm/dream/devices.py                          | 29 +++++++------
 ldm/dream/generator/base.py                   |  9 ++--
 ldm/dream/generator/embiggen.py               |  4 +-
 ldm/dream/generator/img2img.py                | 12 +++---
 ldm/dream/generator/inpaint.py                | 12 +++---
 ldm/dream/generator/txt2img.py                |  6 +--
 ldm/generate.py                               | 42 +++++++++++--------
 scripts/dream.py                              |  1 +
 server/application.py                         |  2 +-
 server/containers.py                          |  4 +-
 18 files changed, 108 insertions(+), 82 deletions(-)

diff --git a/.dev_scripts/test_regression_txt2img_dream_v1_4.sh b/.dev_scripts/test_regression_txt2img_dream_v1_4.sh
index 11cbf8f14b..9326d3c311 100644
--- a/.dev_scripts/test_regression_txt2img_dream_v1_4.sh
+++ b/.dev_scripts/test_regression_txt2img_dream_v1_4.sh
@@ -5,8 +5,7 @@ SAMPLES_DIR=${OUT_DIR}
 python scripts/dream.py \
     --from_file ${PROMPT_FILE} \
     --outdir ${OUT_DIR} \
-    --sampler plms \
-    --full_precision
+    --sampler plms
 
 # original output by CompVis/stable-diffusion
 IMAGE1=".dev_scripts/images/v1_4_astronaut_rides_horse_plms_step50_seed42.png"
diff --git a/.github/workflows/test-dream-conda.yml b/.github/workflows/test-dream-conda.yml
index 3bd9b24582..6c51ebe718 100644
--- a/.github/workflows/test-dream-conda.yml
+++ b/.github/workflows/test-dream-conda.yml
@@ -85,9 +85,9 @@ jobs:
           fi
           # Utterly hacky, but I don't know how else to do this
           if [[ ${{ github.ref }} == 'refs/heads/master' ]]; then
-            time ${{ steps.vars.outputs.PYTHON_BIN }} scripts/dream.py --from_file tests/preflight_prompts.txt --full_precision
+            time ${{ steps.vars.outputs.PYTHON_BIN }} scripts/dream.py --from_file tests/preflight_prompts.txt
           elif [[ ${{ github.ref }} == 'refs/heads/development' ]]; then
-            time ${{ steps.vars.outputs.PYTHON_BIN }} scripts/dream.py --from_file tests/dev_prompts.txt --full_precision
+            time ${{ steps.vars.outputs.PYTHON_BIN }} scripts/dream.py --from_file tests/dev_prompts.txt
           fi
           mkdir -p outputs/img-samples
       - name: Archive results
diff --git a/README.md b/README.md
index 7b4ffa76a1..a0cc302e03 100644
--- a/README.md
+++ b/README.md
@@ -86,17 +86,14 @@ You wil need one of the following:
 
 - At least 6 GB of free disk space for the machine learning model, Python, and all its dependencies.
 
-> Note
->
-> If you have an Nvidia 10xx series card (e.g. the 1080ti), please run the dream script in
-> full-precision mode as shown below.
+#### Note
 
-Similarly, specify full-precision mode on Apple M1 hardware.
-
-To run in full-precision mode, start `dream.py` with the `--full_precision` flag:
+Precision is auto configured based on the device. If however you encounter
+errors like 'expected type Float but found Half' or 'not implemented for Half'
+you can try starting `dream.py` with the `--precision=float32` flag:
 
 ```bash
-(ldm) ~/stable-diffusion$ python scripts/dream.py --full_precision
+(ldm) ~/stable-diffusion$ python scripts/dream.py --precision=float32
 ```
 
 ### Features
@@ -125,6 +122,11 @@ To run in full-precision mode, start `dream.py` with the `--full_precision` flag
 
 ### Latest Changes
 
+- vNEXT (TODO 2022)
+
+  - Deprecated `--full_precision` / `-F`. Simply omit it and `dream.py` will auto
+    configure. To switch away from auto use the new flag like `--precision=float32`.
+
 - v1.14 (11 September 2022)
 
   - Memory optimizations for small-RAM cards. 512x512 now possible on 4 GB GPUs.
diff --git a/docs/features/CLI.md b/docs/features/CLI.md
index 5f7cdaf162..cf49f68b70 100644
--- a/docs/features/CLI.md
+++ b/docs/features/CLI.md
@@ -74,7 +74,7 @@ prompt arguments] (#list-of-prompt-arguments). Others
 | --prompt_as_dir         |     -p      | False                                            | Name output directories using the prompt text.                                                       |
 | --from_file <path>      |             | None                                             | Read list of prompts from a file. Use "-" to read from standard input                                |
 | --model <modelname>     |             | stable-diffusion-1.4                             | Loads model specified in configs/models.yaml. Currently one of "stable-diffusion-1.4" or "laion400m" |
-| --full_precision        |     -F      | False                                            | Run in slower full-precision mode. Needed for Macintosh M1/M2 hardware and some older video cards.   |
+| --precision <pname>     |             | auto                                             | Set to a specific precision. Rare but you may need to switch to 'float32' on some video cards.       |
 | --web                   |             | False                                            | Start in web server mode                                                                             |
 | --host <ip addr>        |             | localhost                                        | Which network interface web server should listen on. Set to 0.0.0.0 to listen on any.                |
 | --port <port>           |             | 9090                                             | Which port web server should listen for requests on.                                                 |
diff --git a/docs/features/TEXTUAL_INVERSION.md b/docs/features/TEXTUAL_INVERSION.md
index b8dbc21192..f020807a12 100644
--- a/docs/features/TEXTUAL_INVERSION.md
+++ b/docs/features/TEXTUAL_INVERSION.md
@@ -57,9 +57,7 @@ Once the model is trained, specify the trained .pt or .bin file when starting
 dream using
 
 ```bash
-python3 ./scripts/dream.py \
-        --embedding_path /path/to/embedding.pt \
-        --full_precision
+python3 ./scripts/dream.py --embedding_path /path/to/embedding.pt
 ```
 
 Then, to utilize your subject at the dream prompt
diff --git a/docs/index.md b/docs/index.md
index bdde3cabd7..1f5a6702dc 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -62,15 +62,12 @@ You wil need one of the following:
 
 ### Note
 
-If you are have a Nvidia 10xx series card (e.g. the 1080ti), please run the dream script in
-full-precision mode as shown below.
-
-Similarly, specify full-precision mode on Apple M1 hardware.
-
-To run in full-precision mode, start `dream.py` with the `--full_precision` flag:
+Precision is auto configured based on the device. If however you encounter
+errors like 'expected type Float but found Half' or 'not implemented for Half'
+you can try starting `dream.py` with the `--precision=float32` flag:
 
 ```bash
-(ldm) ~/stable-diffusion$ python scripts/dream.py --full_precision
+(ldm) ~/stable-diffusion$ python scripts/dream.py --precision=float32
 ```
 
 ## Features
@@ -98,6 +95,11 @@ To run in full-precision mode, start `dream.py` with the `--full_precision` flag
 
 ## Latest Changes
 
+### vNEXT <small>(TODO 2022)</small>
+
+  - Deprecated `--full_precision` / `-F`. Simply omit it and `dream.py` will auto
+    configure. To switch away from auto use the new flag like `--precision=float32`.
+
 ### v1.14 <small>(11 September 2022)</small>
 
 - Memory optimizations for small-RAM cards. 512x512 now possible on 4 GB GPUs.
diff --git a/docs/installation/INSTALL_MAC.md b/docs/installation/INSTALL_MAC.md
index 69bf78fa00..9904e05050 100644
--- a/docs/installation/INSTALL_MAC.md
+++ b/docs/installation/INSTALL_MAC.md
@@ -97,7 +97,7 @@ conda activate ldm
 python scripts/preload_models.py
 
 # run SD!
-python scripts/dream.py --full_precision  # half-precision requires autocast and won't work
+python scripts/dream.py
 
 # or run the web interface!
 python scripts/dream.py --web
@@ -453,5 +453,3 @@ Abort trap: 6
   warnings.warn('resource_tracker: There appear to be %d '
 ```
 
-Macs do not support `autocast/mixed-precision`, so you need to supply
-`--full_precision` to use float32 everywhere.
diff --git a/ldm/dream/args.py b/ldm/dream/args.py
index ada8975e96..9eba72f115 100644
--- a/ldm/dream/args.py
+++ b/ldm/dream/args.py
@@ -100,6 +100,13 @@ SAMPLER_CHOICES = [
     'plms',
 ]
 
+PRECISION_CHOICES = [
+    'auto',
+    'float32',
+    'autocast',
+    'float16',
+]
+
 # is there a way to pick this up during git commits?
 APP_ID      = 'lstein/stable-diffusion'
 APP_VERSION = 'v1.15'
@@ -322,7 +329,16 @@ class Args(object):
             '--full_precision',
             dest='full_precision',
             action='store_true',
-            help='Use more memory-intensive full precision math for calculations',
+            help='Deprecated way to set --precision=float32',
+        )
+        model_group.add_argument(
+            '--precision',
+            dest='precision',
+            type=str,
+            choices=PRECISION_CHOICES,
+            metavar='PRECISION',
+            help=f'Set model precision. Defaults to auto selected based on device. Options: {", ".join(PRECISION_CHOICES)}',
+            default='auto',
         )
         file_group.add_argument(
             '--from_file',
diff --git a/ldm/dream/devices.py b/ldm/dream/devices.py
index a92cfcbf60..424ae5a6d3 100644
--- a/ldm/dream/devices.py
+++ b/ldm/dream/devices.py
@@ -1,6 +1,6 @@
 import torch
 from torch import autocast
-from contextlib import contextmanager, nullcontext
+from contextlib import nullcontext
 
 def choose_torch_device() -> str:
     '''Convenience routine for guessing which GPU device to run model on'''
@@ -10,15 +10,18 @@ def choose_torch_device() -> str:
         return 'mps'
     return 'cpu'
 
-def choose_autocast_device(device):
-    '''Returns an autocast compatible device from a torch device'''
-    device_type = device.type # this returns 'mps' on M1
-    # autocast only for cuda, but GTX 16xx have issues with it
-    if device_type == 'cuda':
-        device_name = torch.cuda.get_device_name()
-        if 'GeForce GTX 1660' in device_name or 'GeForce GTX 1650' in device_name:
-            return device_type,nullcontext
-        else:
-            return device_type,autocast
-    else:
-        return 'cpu',nullcontext
+def choose_precision(device) -> str:
+    '''Returns an appropriate precision for the given torch device'''
+    if device.type == 'cuda':
+        device_name = torch.cuda.get_device_name(device)
+        if not ('GeForce GTX 1660' in device_name or 'GeForce GTX 1650' in device_name):
+            return 'float16'
+    return 'float32'
+
+def choose_autocast(precision):
+    '''Returns an autocast context or nullcontext for the given precision string'''
+    # float16 currently requires autocast to avoid errors like:
+    # 'expected scalar type Half but found Float'
+    if precision == 'autocast' or precision == 'float16':
+        return autocast
+    return nullcontext
diff --git a/ldm/dream/generator/base.py b/ldm/dream/generator/base.py
index 9bed3df719..af98dea6c2 100644
--- a/ldm/dream/generator/base.py
+++ b/ldm/dream/generator/base.py
@@ -9,13 +9,14 @@ from tqdm import tqdm, trange
 from PIL               import Image
 from einops import rearrange, repeat
 from pytorch_lightning import seed_everything
-from ldm.dream.devices import choose_autocast_device
+from ldm.dream.devices import choose_autocast
 
 downsampling = 8
 
 class Generator():
-    def __init__(self,model):
+    def __init__(self, model, precision):
         self.model               = model
+        self.precision           = precision
         self.seed                = None
         self.latent_channels     = model.channels
         self.downsampling_factor = downsampling   # BUG: should come from model or config
@@ -38,7 +39,7 @@ class Generator():
     def generate(self,prompt,init_image,width,height,iterations=1,seed=None,
                  image_callback=None, step_callback=None,
                  **kwargs):
-        device_type,scope   = choose_autocast_device(self.model.device)
+        scope = choose_autocast(self.precision)
         make_image          = self.get_make_image(
             prompt,
             init_image    = init_image,
@@ -51,7 +52,7 @@ class Generator():
         results             = []
         seed                = seed if seed else self.new_seed()
         seed, initial_noise = self.generate_initial_noise(seed, width, height)
-        with scope(device_type), self.model.ema_scope():
+        with scope(self.model.device.type), self.model.ema_scope():
             for n in trange(iterations, desc='Generating'):
                 x_T = None
                 if self.variation_amount > 0:
diff --git a/ldm/dream/generator/embiggen.py b/ldm/dream/generator/embiggen.py
index cb9c029a66..4e775a50cc 100644
--- a/ldm/dream/generator/embiggen.py
+++ b/ldm/dream/generator/embiggen.py
@@ -11,8 +11,8 @@ from ldm.models.diffusion.ddim     import DDIMSampler
 from ldm.dream.generator.img2img   import Img2Img
 
 class Embiggen(Generator):
-    def __init__(self,model):
-        super().__init__(model)
+    def __init__(self, model, precision):
+        super().__init__(model, precision)
         self.init_latent         = None
 
     @torch.no_grad()
diff --git a/ldm/dream/generator/img2img.py b/ldm/dream/generator/img2img.py
index 6a1561db6f..f354b59138 100644
--- a/ldm/dream/generator/img2img.py
+++ b/ldm/dream/generator/img2img.py
@@ -4,15 +4,15 @@ ldm.dream.generator.img2img descends from ldm.dream.generator
 
 import torch
 import numpy as  np
-from ldm.dream.devices             import choose_autocast_device
+from ldm.dream.devices             import choose_autocast
 from ldm.dream.generator.base      import Generator
 from ldm.models.diffusion.ddim     import DDIMSampler
 
 class Img2Img(Generator):
-    def __init__(self,model):
-        super().__init__(model)
+    def __init__(self, model, precision):
+        super().__init__(model, precision)
         self.init_latent         = None    # by get_noise()
-    
+
     @torch.no_grad()
     def get_make_image(self,prompt,sampler,steps,cfg_scale,ddim_eta,
                        conditioning,init_image,strength,step_callback=None,**kwargs):
@@ -32,8 +32,8 @@ class Img2Img(Generator):
             ddim_num_steps=steps, ddim_eta=ddim_eta, verbose=False
         )
 
-        device_type,scope   = choose_autocast_device(self.model.device)
-        with scope(device_type):
+        scope = choose_autocast(self.precision)
+        with scope(self.model.device.type):
             self.init_latent = self.model.get_first_stage_encoding(
                 self.model.encode_first_stage(init_image)
             ) # move to latent space
diff --git a/ldm/dream/generator/inpaint.py b/ldm/dream/generator/inpaint.py
index 1b25a658b4..248be93bdf 100644
--- a/ldm/dream/generator/inpaint.py
+++ b/ldm/dream/generator/inpaint.py
@@ -5,15 +5,15 @@ ldm.dream.generator.inpaint descends from ldm.dream.generator
 import torch
 import numpy as  np
 from einops import rearrange, repeat
-from ldm.dream.devices             import choose_autocast_device
+from ldm.dream.devices             import choose_autocast
 from ldm.dream.generator.img2img   import Img2Img
 from ldm.models.diffusion.ddim     import DDIMSampler
 
 class Inpaint(Img2Img):
-    def __init__(self,model):
+    def __init__(self, model, precision):
         self.init_latent = None
-        super().__init__(model)
-    
+        super().__init__(model, precision)
+
     @torch.no_grad()
     def get_make_image(self,prompt,sampler,steps,cfg_scale,ddim_eta,
                        conditioning,init_image,mask_image,strength,
@@ -38,8 +38,8 @@ class Inpaint(Img2Img):
                 ddim_num_steps=steps, ddim_eta=ddim_eta, verbose=False
             )
 
-        device_type,scope   = choose_autocast_device(self.model.device)
-        with scope(device_type):
+        scope = choose_autocast(self.precision)
+        with scope(self.model.device.type):
             self.init_latent = self.model.get_first_stage_encoding(
                 self.model.encode_first_stage(init_image)
             ) # move to latent space
diff --git a/ldm/dream/generator/txt2img.py b/ldm/dream/generator/txt2img.py
index d4cd25cb51..0c77705a1c 100644
--- a/ldm/dream/generator/txt2img.py
+++ b/ldm/dream/generator/txt2img.py
@@ -7,9 +7,9 @@ import numpy as  np
 from ldm.dream.generator.base import Generator
 
 class Txt2Img(Generator):
-    def __init__(self,model):
-        super().__init__(model)
-    
+    def __init__(self, model, precision):
+        super().__init__(model, precision)
+
     @torch.no_grad()
     def get_make_image(self,prompt,sampler,steps,cfg_scale,ddim_eta,
                        conditioning,width,height,step_callback=None,**kwargs):
diff --git a/ldm/generate.py b/ldm/generate.py
index a470648cdc..75c1c0a393 100644
--- a/ldm/generate.py
+++ b/ldm/generate.py
@@ -29,7 +29,7 @@ from ldm.models.diffusion.plms     import PLMSSampler
 from ldm.models.diffusion.ksampler import KSampler
 from ldm.dream.pngwriter           import PngWriter
 from ldm.dream.image_util          import InitImageResizer
-from ldm.dream.devices             import choose_torch_device
+from ldm.dream.devices             import choose_torch_device, choose_precision
 from ldm.dream.conditioning        import get_uc_and_c
 
 def fix_func(orig):
@@ -104,7 +104,7 @@ gr = Generate(
           # these values are set once and shouldn't be changed
           conf        = path to configuration file ('configs/models.yaml')
           model       = symbolic name of the model in the configuration file
-          full_precision = False
+          precision   = float precision to be used
 
           # this value is sticky and maintained between generation calls
           sampler_name   = ['ddim', 'k_dpm_2_a', 'k_dpm_2', 'k_euler_a', 'k_euler', 'k_heun', 'k_lms', 'plms']  // k_lms
@@ -130,6 +130,7 @@ class Generate:
             sampler_name          = 'k_lms',
             ddim_eta              = 0.0,  # deterministic
             full_precision        = False,
+            precision             = 'auto',
             # these are deprecated; if present they override values in the conf file
             weights               = None,
             config                = None,
@@ -145,7 +146,7 @@ class Generate:
         self.cfg_scale      = 7.5
         self.sampler_name   = sampler_name
         self.ddim_eta       = 0.0    # same seed always produces same image
-        self.full_precision = True if choose_torch_device() == 'mps' else full_precision
+        self.precision      = precision
         self.strength       = 0.75
         self.seamless       = False
         self.embedding_path = embedding_path
@@ -162,6 +163,14 @@ class Generate:
         # it wasn't actually doing anything. This logic could be reinstated.
         device_type = choose_torch_device()
         self.device = torch.device(device_type)
+        if full_precision:
+            if self.precision != 'auto':
+              raise ValueError('Remove --full_precision / -F if using --precision')
+            print('Please remove deprecated --full_precision / -F')
+            print('If auto config does not work you can use --precision=float32')
+            self.precision = 'float32'
+        if self.precision == 'auto':
+            self.precision = choose_precision(self.device)
 
         # for VRAM usage statistics
         self.session_peakmem = torch.cuda.max_memory_allocated() if self._has_cuda else None
@@ -440,25 +449,25 @@ class Generate:
     def _make_img2img(self):
         if not self.generators.get('img2img'):
             from ldm.dream.generator.img2img import Img2Img
-            self.generators['img2img'] = Img2Img(self.model)
+            self.generators['img2img'] = Img2Img(self.model, self.precision)
         return self.generators['img2img']
-    
+
     def _make_embiggen(self):
         if not self.generators.get('embiggen'):
             from ldm.dream.generator.embiggen import Embiggen
-            self.generators['embiggen'] = Embiggen(self.model)
+            self.generators['embiggen'] = Embiggen(self.model, self.precision)
         return self.generators['embiggen']
 
     def _make_txt2img(self):
         if not self.generators.get('txt2img'):
             from ldm.dream.generator.txt2img import Txt2Img
-            self.generators['txt2img'] = Txt2Img(self.model)
+            self.generators['txt2img'] = Txt2Img(self.model, self.precision)
         return self.generators['txt2img']
 
     def _make_inpaint(self):
         if not self.generators.get('inpaint'):
             from ldm.dream.generator.inpaint import Inpaint
-            self.generators['inpaint'] = Inpaint(self.model)
+            self.generators['inpaint'] = Inpaint(self.model, self.precision)
         return self.generators['inpaint']
 
     def load_model(self):
@@ -469,7 +478,7 @@ class Generate:
                 model = self._load_model_from_config(self.config, self.weights)
                 if self.embedding_path is not None:
                     model.embedding_manager.load(
-                        self.embedding_path, self.full_precision
+                        self.embedding_path, self.precision == 'float32' or self.precision == 'autocast'
                     )
                 self.model = model.to(self.device)
                 # model.to doesn't change the cond_stage_model.device used to move the tokenizer output, so set it here
@@ -619,16 +628,13 @@ class Generate:
         sd    = pl_sd['state_dict']
         model = instantiate_from_config(c.model)
         m, u  = model.load_state_dict(sd, strict=False)
-        
-        if self.full_precision:
-            print(
-                '>> Using slower but more accurate full-precision math (--full_precision)'
-            )
+
+        if self.precision == 'float16':
+            print('Using faster float16 precision')
+            model.to(torch.float16)
         else:
-            print(
-                '>> Using half precision math. Call with --full_precision to use more accurate but VRAM-intensive full precision.'
-            )
-            model.half()
+            print('Using more accurate float32 precision')
+
         model.to(self.device)
         model.eval()
 
diff --git a/scripts/dream.py b/scripts/dream.py
index d11c87dc67..f4bd347bc6 100755
--- a/scripts/dream.py
+++ b/scripts/dream.py
@@ -54,6 +54,7 @@ def main():
             sampler_name   = opt.sampler_name,
             embedding_path = opt.embedding_path,
             full_precision = opt.full_precision,
+            precision      = opt.precision,
         )
     except (FileNotFoundError, IOError, KeyError) as e:
         print(f'{e}. Aborting.')
diff --git a/server/application.py b/server/application.py
index 2501f4b63d..58725637a7 100644
--- a/server/application.py
+++ b/server/application.py
@@ -119,7 +119,7 @@ def main():
   #     "height": height,
   #     "sampler_name": opt.sampler_name,
   #     "weights": weights,
-  #     "full_precision": opt.full_precision,
+  #     "precision": opt.precision,
   #     "config": config,
   #     "grid": opt.grid,
   #     "latent_diffusion_weights": opt.laion400m,
diff --git a/server/containers.py b/server/containers.py
index a3318c5ff0..f1e246482f 100644
--- a/server/containers.py
+++ b/server/containers.py
@@ -23,14 +23,14 @@ class Container(containers.DeclarativeContainer):
     model          = config.model,
     sampler_name   = config.sampler_name,
     embedding_path = config.embedding_path,
-    full_precision = config.full_precision
+    precision      = config.precision
     # config = config.model.config,
 
     # width = config.model.width,
     # height = config.model.height,
     # sampler_name = config.model.sampler_name,
     # weights = config.model.weights,
-    # full_precision = config.model.full_precision,
+    # precision = config.model.precision,
     # grid = config.model.grid,
     # seamless = config.model.seamless,
     # embedding_path = config.model.embedding_path,

From 18a9a7c159cf0ded2e264b2dd9dee197b6563716 Mon Sep 17 00:00:00 2001
From: Lincoln Stein <lincoln.stein@gmail.com>
Date: Tue, 20 Sep 2022 17:24:00 -0400
Subject: [PATCH 110/110] Resolved conflicts with workflow

---
 .github/workflows/test-dream-conda.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/test-dream-conda.yml b/.github/workflows/test-dream-conda.yml
index 3bd9b24582..6c51ebe718 100644
--- a/.github/workflows/test-dream-conda.yml
+++ b/.github/workflows/test-dream-conda.yml
@@ -85,9 +85,9 @@ jobs:
           fi
           # Utterly hacky, but I don't know how else to do this
           if [[ ${{ github.ref }} == 'refs/heads/master' ]]; then
-            time ${{ steps.vars.outputs.PYTHON_BIN }} scripts/dream.py --from_file tests/preflight_prompts.txt --full_precision
+            time ${{ steps.vars.outputs.PYTHON_BIN }} scripts/dream.py --from_file tests/preflight_prompts.txt
           elif [[ ${{ github.ref }} == 'refs/heads/development' ]]; then
-            time ${{ steps.vars.outputs.PYTHON_BIN }} scripts/dream.py --from_file tests/dev_prompts.txt --full_precision
+            time ${{ steps.vars.outputs.PYTHON_BIN }} scripts/dream.py --from_file tests/dev_prompts.txt
           fi
           mkdir -p outputs/img-samples
       - name: Archive results