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atikur-rabbi commited on Mar 25, 2023

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CHANGELOG.md +0 -386
Dockerfile +27 -17
LICENSE +0 -661
README.md +1 -256
requirements.txt +0 -6

CHANGELOG.md DELETED Viewed

@@ -1,386 +0,0 @@
-# Changelog
-## [v1.34.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.33.0...v1.34.0) - 2023-03-17
-### Added
-* Add test for custom model and vae tiling
-* Add vae tiling for high resolution images
-* Update diffusers, onnx, and safetensors
-## [v1.33.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.32.0...v1.33.0) - 2023-02-25
-### Added
-* Update diffusers to 0.13.1
-### Fixed
-* Ensure booleans do not consume other args
-## [v1.32.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.31.0...v1.32.0) - 2023-02-20
-### Added
-* Ensure onnx option is tested
-* Split onnx into separate option
-## [v1.31.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.30.1...v1.31.0) - 2023-02-17
-### Added
-* Add test for instruct pix2pix
-* Add instruct pix2pix pipeline
-* Update transformers to 4.26.1
-* Update onnxruntime to 1.14.0
-### Changed
-* Add full-sized image for testing
-## [v1.30.1](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.30.0...v1.30.1) - 2023-02-03
-### Fixed
-* Switch xformers to 0.0.16 stable
-## [v1.30.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.29.0...v1.30.0) - 2023-01-28
-### Added
-* Update diffusers to 0.12.1
-### Changed
-* Reorder arguments alphabetically
-* Rename option names in tests
-* Rename certain options for ease-of-use
-### Fixed
-* Download test image since img folder is gone
-* Rename option names in depth diffusion test
-## [v1.29.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.28.0...v1.29.0) - 2023-01-26
-### Added
-* Add test for depth-guided diffusion
-* Add depth-guided stable diffusion
-## [v1.28.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.27.0...v1.28.0) - 2023-01-26
-### Added
-* Upgrade diffusers to 0.12.0
-### Fixed
-* Suppress CLIPFeatureExtractor warning
-## [v1.27.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.26.0...v1.27.0) - 2023-01-16
-### Added
-* Automatically publish new versions
-### Fixed
-* Update unstable xformers to 0.0.16rc425
-## [v1.26.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.25.1...v1.26.0) - 2023-01-13
-### Added
-* Support pulling image from ghcr
-* Publish docker pipeline to ghcr
-### Changed
-* Simplify ghcr publish action
-* Move ghcr url into variable
-## [v1.25.1](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.25.0...v1.25.1) - 2023-01-10
-### Fixed
-* Update safetensors and unstable xformers
-* Add numpy 1.23.5 to fix float errors
-## [v1.25.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.24.0...v1.25.0) - 2022-12-26
-### Added
-* Add test for scheduler option
-* Allow different schedulers to be used
-* Update torch to 1.13.1 and unstable xformers
-## [v1.24.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.23.0...v1.24.0) - 2022-12-20
-### Added
-* Add tests for stable diffusion 2.0 and 2.1
-* Update diffusers to 0.11.1
-* Switch to python slim and halve image size
-## [v1.23.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.22.0...v1.23.0) - 2022-12-14
-### Added
-* Add memory efficient transformers
-* Add test for image upscaling
-### Fixed
-* Ensure default test produces output
-## [v1.22.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.21.0...v1.22.0) - 2022-12-12
-### Added
-* Add upscaler pipeline
-* Update diffusers to 0.10.2
-## [v1.21.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.20.0...v1.21.0) - 2022-12-09
-### Added
-* Update diffusers to 0.10.1
-* Update diffusers to 0.10.0
-* Update transformers to 4.25.1
-### Fixed
-* Remove use of autocast
-* Remove unused arguments from pipeline
-* Return after setting gpu arg
-* Removed unused imports
-## [v1.20.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.19.1...v1.20.0) - 2022-11-29
-### Added
-* Update diffusers to 0.9.0
-* Update tensorflow to 2.11.0
-### Fixed
-* Ensure skip option works on onnx pipeline
-## [v1.19.1](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.19.0...v1.19.1) - 2022-11-22
-### Added
-* Test image to image pipeline
-### Fixed
-* Do not pass gpu arg if using cpu pipeline
-## [v1.19.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.18.0...v1.19.0) - 2022-11-17
-### Added
-* Add test for cpu pipeline
-* Add cpu pipeline using onnx
-### Changed
-* Test image with different dimensions
-## [v1.18.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.17.0...v1.18.0) - 2022-11-11
-### Added
-* Add diffusion inpainting
-## [v1.17.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.16.0...v1.17.0) - 2022-11-08
-### Added
-* Add image-to-image diffusion
-* Add input folder for image-to-image diffusion
-### Changed
-* Call run command directly from tests
-### Fixed
-* Ensure output folder is always created
-## [v1.16.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.15.0...v1.16.0) - 2022-11-07
-### Added
-* Add standard tests for all options
-* Upgrade diffusers to 0.7.2
-## [v1.15.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.14.0...v1.15.0) - 2022-11-04
-### Added
-* Add negative prompts
-### Changed
-* Switch to using num_images_per_prompt
-## [v1.14.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.13.0...v1.14.0) - 2022-11-03
-### Added
-* Upgrade diffusers to 0.7.0
-## [v1.13.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.12.0...v1.13.0) - 2022-11-02
-### Added
-* Upgrade torch to 1.13.0 and cuda to 11.7
-## [v1.12.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.11.1...v1.12.0) - 2022-11-01
-### Added
-* Update transformers to v4.24.0
-### Fixed
-* Always use torch instead of tensorflow
-## [v1.11.1](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.11.0...v1.11.1) - 2022-10-26
-### Changed
-* Split pipeline and inference
-## [v1.11.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.10.0...v1.11.0) - 2022-10-21
-### Added
-* Make model configurable
-## [v1.10.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.9.0...v1.10.0) - 2022-10-19
-### Added
-* Upgrade to diffusers 0.6.0
-### Fixed
-* Switch output and image names
-## [v1.9.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.8.1...v1.9.0) - 2022-10-14
-### Added
-* Upgrade to latest huggingface releases
-## [v1.8.1](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.8.0...v1.8.1) - 2022-10-13
-### Fixed
-* Remove cuda stubs to prevent errors
-## [v1.8.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.7.0...v1.8.0) - 2022-10-12
-### Added
-* Upgrade to diffusers 0.4.2
-## [v1.7.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.6.0...v1.7.0) - 2022-10-07
-### Added
-* Upgrade to diffusers 0.4.1
-* Pin dependencies using requirements.txt
-## [v1.6.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.5.0...v1.6.0) - 2022-09-14
-### Added
-* Add attention slicing
-### Changed
-* Use tagged version of tensorflow
-## [v1.5.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.4.0...v1.5.0) - 2022-09-08
-### Added
-* Specify user access token at command line
-## [v1.4.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.3.0...v1.4.0) - 2022-09-05
-### Added
-* Add pipeline iteration
-### Changed
-* Move image name out of loop
-## [v1.3.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.2.2...v1.3.0) - 2022-09-02
-### Added
-* Support skipping safety checker
-## [v1.2.2](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.2.1...v1.2.2) - 2022-09-01
-### Changed
-* Rename iso date time function
-### Fixed
-* Prevent errors when file name is too long
-## [v1.2.1](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.2.0...v1.2.1) - 2022-08-29
-### Fixed
-* Allow full range of random seeds
-## [v1.2.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.1.1...v1.2.0) - 2022-08-26
-### Added
-* Support half-sized (float16) tensors
-### Changed
-* Update scale argument description
-### Fixed
-* Remove unused sys import
-## [v1.1.1](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.1.0...v1.1.1) - 2022-08-25
-### Fixed
-* Double quote to prevent globbing
-* Only output two digits of precision
-## [v1.1.0](https://github.com/fboulnois/stable-diffusion-docker/compare/v1.0.0...v1.1.0) - 2022-08-24
-### Added
-* Add a subset of txt2img.py options
-* Include model params in image filename
-### Changed
-* Use enumerate instead of index
-### Fixed
-* Remove unnecessary image library import
-## [v1.0.0](https://github.com/fboulnois/stable-diffusion-docker/releases/tag/v1.0.0) - 2022-08-22
-### Added
-* Initial release

Dockerfile CHANGED Viewed

@@ -1,11 +1,24 @@
-FROM python:3.10-slim-bullseye
-RUN rm -rf /usr/local/cuda/lib64/stubs
-COPY requirements.txt /
-RUN pip install -r requirements.txt \
-  --extra-index-url https://download.pytorch.org/whl/cu117
 RUN useradd -m huggingface
@@ -13,13 +26,10 @@ USER huggingface
 WORKDIR /home/huggingface
-ENV USE_TORCH=1
-RUN mkdir -p /home/huggingface/.cache/huggingface \
-  && mkdir -p /home/huggingface/input \
-  && mkdir -p /home/huggingface/output
-COPY docker-entrypoint.py /usr/local/bin
-# COPY token.txt /home/huggingface
-ENTRYPOINT [ "docker-entrypoint.py" ]

+FROM ubuntu:20.04
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    ca-certificates \
+    curl \
+    git \
+    libgl1-mesa-glx \
+    libglib2.0-0 \
+    libsm6 \
+    libxext6 \
+    libxrender-dev \
+    python3-dev \
+    python3-pip \
+    python3-setuptools \
+    python3-wheel \
+    sudo \
+    unzip \
+    vim \
+    wget \
+    && rm -rf /var/lib/apt/lists/*
 RUN useradd -m huggingface
 WORKDIR /home/huggingface
+RUN wget https://github.com/cmdr2/stable-diffusion-ui/releases/download/v2.5.24/Easy-Diffusion-Linux.zip && \
+    unzip Easy-Diffusion-Linux.zip && \
+    rm Easy-Diffusion-Linux.zip
+# ENTRYPOINT [ "docker-entrypoint.py" ]
+RUN cd Easy-Diffusion-Linux/easy-diffusion && \
+    ls

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README.md CHANGED Viewed

@@ -2,7 +2,7 @@
 title: sdui
 emoji: 🐢
 colorFrom: blue
-colorTo: red
 sdk: docker
 pinned: false
 duplicated_from: atikur-rabbi/sdui
@@ -10,258 +10,3 @@ duplicated_from: atikur-rabbi/sdui
 # Stable Diffusion in Docker
-Run the official [Stable Diffusion](https://huggingface.co/CompVis/stable-diffusion)
-releases on [Huggingface](https://huggingface.co/) in a GPU accelerated Docker
-container.
-```sh
-./build.sh run 'An impressionist painting of a parakeet eating spaghetti in the desert'
-```
-![An impressionist painting of a parakeet eating spaghetti in the desert 1](https://raw.githubusercontent.com/fboulnois/repository-assets/main/assets/stable-diffusion-docker/An_impressionist_painting_of_a_parakeet_eating_spaghetti_in_the_desert_s1.png)
-![An impressionist painting of a parakeet eating spaghetti in the desert 2](https://raw.githubusercontent.com/fboulnois/repository-assets/main/assets/stable-diffusion-docker/An_impressionist_painting_of_a_parakeet_eating_spaghetti_in_the_desert_s2.png)
-```sh
-./build.sh run --image parakeet_eating_spaghetti.png --strength 0.6 'Bouquet of roses'
-```
-![Bouquet of roses 1](https://raw.githubusercontent.com/fboulnois/repository-assets/main/assets/stable-diffusion-docker/Bouquet_of_roses_s1.png)
-![Bouquet of roses 2](https://raw.githubusercontent.com/fboulnois/repository-assets/main/assets/stable-diffusion-docker/Bouquet_of_roses_s2.png)
-## Before you start
-### Minimum requirements
-By default, the pipeline uses the full model and weights which requires a CUDA
-capable GPU with 8GB+ of VRAM. It should take a few seconds to create one image.
-On less powerful GPUs you may need to modify some of the options; see the
-[Examples](#examples) section for more details. If you lack a suitable GPU you
-can set the options `--device cpu` and `--onnx` instead.
-### Huggingface token
-Since it uses the official model, you will need to create a [user access token](https://huggingface.co/docs/hub/security-tokens)
-in your [Huggingface account](https://huggingface.co/settings/tokens). Save the
-user access token in a file called `token.txt` and make sure it is available
-when building the container. The token content should begin with `hf_...`
-## Quickstart
-The pipeline is managed using a single [`build.sh`](build.sh) script.
-Pull the latest version of `stable-diffusion-docker` using `./build.sh pull`.
-You will need to use the option `--token` to specify a valid [user access token](#huggingface-token)
-when using [`./build run`](#run).
-Alternately, build the image locally before running it.
-## Build
-Make sure your [user access token](#huggingface-token) is saved in a file called
-`token.txt`.
-To build:
-```sh
-./build.sh build  # or just ./build.sh
-```
-## Run
-### Text-to-Image (`txt2img`)
-Create an image from a text prompt.
-To run:
-```sh
-./build.sh run 'Andromeda galaxy in a bottle'
-```
-### Image-to-Image (`img2img`)
-Create an image from an existing image and a text prompt.
-First, copy an image to the `input` folder. Next, to run:
-```sh
-./build.sh run --image image.png 'Andromeda galaxy in a bottle'
-```
-### Depth-Guided Diffusion (`depth2img`)
-Modify an existing image with its depth map and a text prompt.
-First, copy an image to the `input` folder. Next, to run:
-```sh
-./build.sh run --model 'stabilityai/stable-diffusion-2-depth' \
-  --image image.png 'A detailed description of the objects to change'
-```
-### Instruct Pix2Pix (`pix2pix`)
-Modify an existing image with a text prompt.
-First, copy an image to the `input` folder. Next, to run:
-```sh
-./build.sh run --model 'timbrooks/instruct-pix2pix' \
-  --image image.png 'A detailed description of the objects to change'
-```
-### Image Upscaling (`upscale4x`)
-Create a high resolution image from an existing image with a text prompt.
-First, copy an image to the `input` folder. Next, to run:
-```sh
-./build.sh run --model 'stabilityai/stable-diffusion-x4-upscaler' \
-  --image image.png 'Andromeda galaxy in a bottle'
-```
-### Diffusion Inpainting (`inpaint`)
-Modify specific areas of an existing image with an image mask and a text prompt.
-First, copy an image and an image mask to the `input` folder. White areas of the
-mask will be diffused and black areas will be kept untouched. Next, to run:
-```sh
-./build.sh run --model 'runwayml/stable-diffusion-inpainting' \
-  --image image.png --mask mask.png 'Andromeda galaxy in a bottle'
-```
-## Options
-The following are the most common options:
-* `--prompt [PROMPT]`: the prompt to render into an image
-* `--model [MODEL]`: the model used to render images (default is
-`CompVis/stable-diffusion-v1-4`)
-* `--height [HEIGHT]`: image height in pixels (default 512, must be divisible by 64)
-* `--width [WIDTH]`: image width in pixels (default 512, must be divisible by 64)
-* `--iters [ITERS]`: number of times to run pipeline (default 1)
-* `--samples [SAMPLES]`: number of images to create per run (default 1)
-* `--scale [SCALE]`: how closely the image should follow the prompt (default 7.5)
-* `--scheduler [SCHEDULER]`: override the scheduler used to denoise the image
-(default `None`)
-* `--seed [SEED]`: RNG seed for repeatability (default is a random seed)
-* `--steps [STEPS]`: number of sampling steps (default 50)
-Other options:
-* `--attention-slicing`: use less memory but decrease inference speed (default
-is no attention slicing)
-* `--device [DEVICE]`: the cpu or cuda device to use to render images (default
-`cuda`)
-* `--half`: use float16 tensors instead of float32 (default `float32`)
-* `--image [IMAGE]`: the input image to use for image-to-image diffusion
-(default `None`)
-* `--image-scale [IMAGE_SCALE]`: how closely the image should follow the
-original image (default `None`)
-* `--mask [MASK]`: the input mask to use for diffusion inpainting (default
-`None`)
-* `--negative-prompt [NEGATIVE_PROMPT]`: the prompt to not render into an image
-(default `None`)
-* `--onnx`: use the onnx runtime for inference (default is off)
-* `--skip`: skip safety checker (default is the safety checker is on)
-* `--strength [STRENGTH]`: diffusion strength to apply to the input image
-(default 0.75)
-* `--token [TOKEN]`: specify a Huggingface user access token at the command line
-instead of reading it from a file (default is a file)
-* `--vae-tiling`: use less memory when generating ultra-high resolution images
-but massively decrease inference speed (default is no tiling)
-* `--xformers-memory-efficient-attention`: use less memory but require the
-xformers library (default is that xformers is not required)
-Some of the original `txt2img.py` options [have been renamed](https://github.com/fboulnois/stable-diffusion-docker/issues/49)
-for easy-of-use and compatibility with other pipelines:
-| txt2img | stable-diffusion-docker |
-|---------|-------------------------|
-| `--H` | `--height` |
-| `--W` | `--width` |
-| `--n_iter` | `--iters` |
-| `--n_samples` | `--samples` |
-| `--ddim_steps` | `--steps` |
-## Examples
-These commands are both identical:
-```sh
-./build.sh run 'abstract art'
-./build.sh run --prompt 'abstract art'
-```
-Set the seed to 42:
-```sh
-./build.sh run --seed 42 'abstract art'
-```
-Options can be combined:
-```sh
-./build.sh run --scale 7.0 --seed 42 'abstract art'
-```
-Many popular models are supported out-of-the-box:
-| Model Name | Option using `--model` |
-|------------|------------------------|
-| [Stable Diffusion 1.4](https://huggingface.co/CompVis/stable-diffusion-v1-4) | `'CompVis/stable-diffusion-v1-4'` |
-| [Stable Diffusion 1.5](https://huggingface.co/runwayml/stable-diffusion-v1-5) | `'runwayml/stable-diffusion-v1-5'` |
-| [Stable Diffusion 2.0](https://huggingface.co/stabilityai/stable-diffusion-2) | `'stabilityai/stable-diffusion-2'` |
-| [Stable Diffusion 2.1](https://huggingface.co/stabilityai/stable-diffusion-2-1) | `'stabilityai/stable-diffusion-2-1'` |
-| [OpenJourney 1.0](https://huggingface.co/prompthero/openjourney) | `'prompthero/openjourney'` |
-| [Dreamlike Diffusion 1.0](https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0) | `'dreamlike-art/dreamlike-diffusion-1.0'` |
-| [and more!](https://huggingface.co/models?other=stable-diffusion&sort=likes) | ... |
-```sh
-./build.sh run --model 'prompthero/openjourney' --prompt 'abstract art'
-```
-On systems without enough GPU VRAM, you can try mixing and matching options:
-* Give Docker Desktop more resources by increasing the CPU, memory, and swap in
-the Settings -> Resources section if the container is terminated
-* Make images smaller than 512x512 using `--height` and `--width` to decrease
-memory use and increase image creation speed
-* Use `--half` to decrease memory use but slightly decrease image quality
-* Use `--attention-slicing` to decrease memory use but also decrease image
-creation speed
-* Use `--xformers-memory-efficient-attention` to decrease memory use if the
-pipeline and the hardware supports the option
-* Decrease the number of samples and increase the number of iterations with
-`--samples` and `--iters` to decrease overall memory use
-* Skip the safety checker with `--skip` to run less code
-```sh
-./build.sh run --height 256 --width 256 --half \
-  --attention-slicing --xformers-memory-efficient-attention \
-  --samples 1 --iters 1 --skip --prompt 'abstract art'
-```
-On Windows, if you aren't using WSL2 and instead use MSYS, MinGW, or Git Bash,
-prefix your commands with `MSYS_NO_PATHCONV=1` (or export it beforehand):
-```sh
-MSYS_NO_PATHCONV=1 ./build.sh run --half --prompt 'abstract art'
-```
-## Outputs
-### Model
-The model and other files are cached in a volume called `huggingface`. The
-models are stored in `<volume>/diffusers/<model>/snapshots/<githash>/unet/<weights>`.
-Checkpoint files (`ckpt`s) are unofficial versions of the official models, and
-so these are not part of the official release.
-### Images
-The images are saved as PNGs in the `output` folder using the prompt text. The
-`build.sh` script creates and mounts this folder as a volume in the container.

 title: sdui
 emoji: 🐢
 colorFrom: blue
+colorTo: green
 sdk: docker
 pinned: false
 duplicated_from: atikur-rabbi/sdui
 # Stable Diffusion in Docker

requirements.txt DELETED Viewed

@@ -1,6 +0,0 @@
-diffusers[torch]==0.14.0
-onnxruntime==1.14.1
-safetensors==0.3.0
-torch==1.13.1+cu117
-transformers==4.26.1
-xformers==0.0.16