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Signed-off-by: Georg Zoeller <georgzoeller@users.noreply.github.com>
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@ -34,6 +34,7 @@ All forks listed here add additional features and optimisations and are generall
* [txt2imghd](https://github.com/jquesnelle/txt2imghd) - Fork of progrock diffusion that creates detailed, higher-resolution images by first generating an image from a prompt, upscaling it, then running img2img on smaller pieces of the upscaled image, and blending the results back into the original image.
* [neonsecret/stable-diffusion](https://github.com/neonsecret/stable-diffusion) - Fork focusing on bigger resolutions with less vram at the expense of speed, automatically adjusting to the GPUs abilities. Also includes upscaling, facial restoration via CodeFormer and [custom UI](https://github.com/neonsecret/stable-diffusion/blob/main/GUI_TUTORIAL.md)
* [NickLucche/stable-diffusion-nvidia-docker](https://github.com/NickLucche/stable-diffusion-nvidia-docker) - Multi (Nvidia) GPU capable docker setup of SD
* [replicate/copg-stable-diffusion](https://github.com/replicate/cog-stable-diffusion) - [Cog machine learning container](https://github.com/replicate/cog) of SD v1.4.
* [stable-diffusion-jupyterlab-docker](https://github.com/pieroit/stable-diffusion-jupyterlab-docker) - A Docker setup ready to go with Jupyter notebooks for Stable Diffusion.