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README.md
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# Stable Diffusion WebUI Docker
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Run Stable Diffusion on your machine with a nice UI without any hassle!
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This repository provides the [WebUI](https://github.com/hlky/stable-diffusion-webui) as a docker image for easy setup and deployment. Please note that the WebUI is experimental and evolving quickly, so expect some bugs.
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## Features
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- Interactive UI with many features, and more on the way!
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- Support for 6GB GPU cards.
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- GFPGAN for face reconstruction, RealESRGAN for super-sampling.
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- Experimental:
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- [Textual Inversion](https://github.com/hlky/sd-enable-textual-inversion)
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- Latent Diffusion Super Resolution
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- GoBig
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- GoLatent
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- many more!
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## Setup
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Make sure you have an **up to date** version of docker installed. Download this repo and run:
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```
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docker compose build
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```
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you can let it build in the background while you download the different models
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- [Stable Diffusion v1.4 (4GB)](https://www.googleapis.com/storage/v1/b/aai-blog-files/o/sd-v1-4.ckpt?alt=media), rename to `model.ckpt`
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- (Optional) [GFPGANv1.3.pth (333MB)](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth).
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- (Optional) [RealESRGAN_x4plus.pth (64MB)](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth) and [RealESRGAN_x4plus_anime_6B.pth (18MB)](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth).
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- (Optional) [LDSR (2GB)](https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1) and [its configuration](https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1), rename to `LDSR.ckpt` and `LDSR.yaml` respectively.
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<!-- - (Optional) [RealESRGAN_x2plus.pth (64MB)](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth)
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- TODO: (I still need to find the RealESRGAN_x2plus_6b.pth) -->
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Put all of the downloaded files in the `models` folder, it should look something like this:
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```
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models/
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├── model.ckpt
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├── GFPGANv1.3.pth
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├── RealESRGAN_x4plus.pth
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├── RealESRGAN_x4plus_anime_6B.pth
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├── LDSR.ckpt
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└── LDSR.yaml
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```
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## Run
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After the build is done, you can run the app with:
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```
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docker compose up --build
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```
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Will start the app on http://localhost:7860/
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Note: the first start will take sometime as some other models will be downloaded, these will be cached in the `cache` folder, so next runs are faster.
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## Config
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in the `docker-compose.yml` you can change the `CLI_ARGS` variable, which contains the arguments that will be passed to the WebUI. By default: `--extra-models-cpu --optimized-turbo` are given, which allow you to use this model on a 6GB GPU. However, some features might not be available in the mode.
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[You can find the full list of arguments here.](https://github.com/hlky/stable-diffusion/blob/d667ff52a36b4e79526f01555bfbf85428f334ce/scripts/webui.py)
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### FAQ
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You can find fixes to common issues [in the wiki page.](https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/Main)
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# Disclaimer
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The authors of this project are not responsible for any content generated using this interface.
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This license of this software forbids you from sharing any content that violates any laws, produce any harm to a person, disseminate any personal information that would be meant for harm, spread misinformation and target vulnerable groups. For the full list of restrictions please read [the license](./LICENSE).
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# Thanks
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Special thanks to everyone behind these awesome projects, without them, none of this would have been possible:
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- [hlky/stable-diffusion-webui](https://github.com/hlky/stable-diffusion-webui)
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- [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
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- [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion)
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# Stable Diffusion WebUI Docker
|
||||
|
||||
Run Stable Diffusion on your machine with a nice UI without any hassle!
|
||||
|
||||
This repository provides the [WebUI](https://github.com/hlky/stable-diffusion-webui) as a docker image for easy setup and deployment. Please note that the WebUI is experimental and evolving quickly, so expect some bugs.
|
||||
|
||||
## Features
|
||||
|
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- Interactive UI with many features, and more on the way!
|
||||
- Support for 6GB GPU cards.
|
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- GFPGAN for face reconstruction, RealESRGAN for super-sampling.
|
||||
- Experimental:
|
||||
- [Textual Inversion](https://github.com/hlky/sd-enable-textual-inversion)
|
||||
- Latent Diffusion Super Resolution
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- GoBig
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- GoLatent
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- many more!
|
||||
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||||
## Setup
|
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Make sure you have an **up to date** version of docker installed. Download this repo and run:
|
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```
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docker compose build
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```
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||||
|
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you can let it build in the background while you download the different models
|
||||
|
||||
- [Stable Diffusion v1.4 (4GB)](https://www.googleapis.com/storage/v1/b/aai-blog-files/o/sd-v1-4.ckpt?alt=media), rename to `model.ckpt`
|
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- (Optional) [GFPGANv1.3.pth (333MB)](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth).
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- (Optional) [RealESRGAN_x4plus.pth (64MB)](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth) and [RealESRGAN_x4plus_anime_6B.pth (18MB)](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth).
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- (Optional) [LDSR (2GB)](https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1) and [its configuration](https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1), rename to `LDSR.ckpt` and `LDSR.yaml` respectively.
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<!-- - (Optional) [RealESRGAN_x2plus.pth (64MB)](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth)
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- TODO: (I still need to find the RealESRGAN_x2plus_6b.pth) -->
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||||
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Put all of the downloaded files in the `models` folder, it should look something like this:
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```
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models/
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├── model.ckpt
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├── GFPGANv1.3.pth
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├── RealESRGAN_x4plus.pth
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├── RealESRGAN_x4plus_anime_6B.pth
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├── LDSR.ckpt
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└── LDSR.yaml
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```
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## Run
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After the build is done, you can run the app with:
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|
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```
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docker compose up --build
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```
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||||
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Will start the app on http://localhost:7860/
|
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Note: the first start will take sometime as some other models will be downloaded, these will be cached in the `cache` folder, so next runs are faster.
|
||||
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## Config
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|
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in the `docker-compose.yml` you can change the `CLI_ARGS` variable, which contains the arguments that will be passed to the WebUI. By default: `--extra-models-cpu --optimized-turbo` are given, which allow you to use this model on a 6GB GPU. However, some features might not be available in the mode.
|
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|
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[You can find the full list of arguments here.](https://github.com/hlky/stable-diffusion/blob/d667ff52a36b4e79526f01555bfbf85428f334ce/scripts/webui.py)
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### FAQ
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You can find fixes to common issues [in the wiki page.](https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/Main)
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# Disclaimer
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||||
The authors of this project are not responsible for any content generated using this interface.
|
||||
|
||||
This license of this software forbids you from sharing any content that violates any laws, produce any harm to a person, disseminate any personal information that would be meant for harm, spread misinformation and target vulnerable groups. For the full list of restrictions please read [the license](./LICENSE).
|
||||
|
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# Thanks
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||||
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||||
Special thanks to everyone behind these awesome projects, without them, none of this would have been possible:
|
||||
|
||||
- [hlky/stable-diffusion-webui](https://github.com/hlky/stable-diffusion-webui)
|
||||
- [AUTOMATIC1111/stable-diffusion-webui](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
|
||||
- [CompVis/stable-diffusion](https://github.com/CompVis/stable-diffusion)
|
||||
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||||
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