* **[CompVis/Stable Diffusion](https://github.com/CompVis/stable-diffusion)** - The official release of Stable Diffusion including a CLI, an AI-based Safety Classifier, which detects and suppresses sexualized content, and all the necessary files to get running.
* [stability-AI/stability-sdk](https://github.com/stability-AI/stability-sdk) - The official SDK used to build python applications integrated with StabilityAI's cloud platform instead of hosting the model locally. Operation requires an API Key (🖊️💵).
* [Public Release Announcement](https://stability.ai/blog/stable-diffusion-public-release) - StabilityAI's announcement about the public release of Stable Diffusion.
All forks listed here add additional features and optimisations and are generally faster than the original release, as they keep the model in memory rather than reloading it after every prompt. Most forks seem to remove the Safety Classifier which may present a risk if used to provide public-facing services, such as Discord bots.
* [basujindal/stable-diffusion](https://github.com/basujindal/stable-diffusion) - "Optimized Stable Diffusion"—a fork with dramatically reduced VRAM requirements through model splitting, enabling Stable Diffusion on lower-end graphics cards; includes a GradIO web interface and support for weighted prompts.
* [bes-dev/stable_diffusion.openvino](https://github.com/bes-dev/stable_diffusion.openvino) - Fork for running the model using a CPU compatible with OpenVINO
* [hlky/stable-diffusion](https://github.com/hlky/stable-diffusion) - Very active fork with optional, highly featureful [Gradio UI](https://github.com/hlky/stable-diffusion-webui) and support for txt2img, img2img inpainting, GFPGAN, ESRGAN, weighted prompts, optimized low memory version, optional [textual-inversion](https://textual-inversion.github.io/) and more.
* [lstein/stable-diffusion](https://github.com/lstein/stable-diffusion) - Very active fork adding a conversational CLI, basic web interface and support for GFPGAN, ESRGAN, weighted prompts, img2img, [textual-inversion](https://textual-inversion.github.io/) as well as inference on Apple M1.
* [lowfuel/progrock-stable](https://github.com/lowfuel/progrock-stable) - Fork with optional Web GUI and a different approach to upscaling (GoBIG/ESRGAN)
* [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.
* [stable-diffusion-jupyterlab-docker](https://github.com/pieroit/stable-diffusion-jupyterlab-docker) - A Docker setup ready to go with Jupyter notebooks for Stable Diffusion.
* 🖊️ [Official Model Card](https://huggingface.co/CompVis/stable-diffusion) - Official Model Card on Hugging Face with all versions of the model. Download requires sign-in and acceptance of terms of service.
* [stable-diffusion-v-1-4-original.chkpt](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) - The latest model's card
* [RealESRGAN Models](https://github.com/xinntao/Real-ESRGAN/releases/) - Download location for the latest RealESRGAN models required to use the upscaling features implemented by many forks. Different models exist for realistic and anime content. Please refer to the fork documentation to identify the ones you need.
* 🖊️💵 [Offical Colab](https://colab.research.google.com/github/huggingface/notebooks/blob/main/diffusers/stable_diffusion.ipynb) - The official, optimized colab for running SD on Google Cloud. Due to VRAM requirements required Colab Pro to create images.
* [textual-inversion](https://github.com/rinongal/textual_inversion) - Addition of personalized content to Stable Diffusion without retraining the model ([Paper](https://textual-inversion.github.io/), [Paper2](https://dreambooth.github.io/)).
* [hlky/stable-diffusion-webui](https://github.com/hlky/stable-diffusion-webui) - GradIO based web UI from the hlsk/stable-diffusion fork with support for txt2img, img2img (with basic mask editor), GAFPGAN and RealESRGAN.
* [lama-cleaner](https://github.com/Sanster/lama-cleaner) - Content aware AI inpainting tool useful for removing unwanted objects or defects from images. Python: ```pip install lama-cleaner```
* [GFPGAN](https://github.com/TencentARC/GFPGAN) - Face Restoration GAN included in several forks for automatically fixing the face deformation commonly found in SD output.
* [CodeFormer](https://github.com/sczhou/CodeFormer) - Another Face Restoration model ([Paper](https://arxiv.org/abs/2206.11253)).
* [ai-art-generator](https://github.com/rbbrdckybk/ai-art-generator) - AI art generation suite combining Stable Diffusion and other models for high volume art generation.
* [ai-art.com/modifiers](https://www.the-ai-art.com/modifiers) - A visual reference guide for keywords.
* [pharmapsychotic/clip-interrogator](https://github.com/pharmapsychotic/clip-interrogator) - Jupyter notebook uses CLIP models to suggest a prompt for images similar to a given image
* [rom1504/clip-retrieval](https://github.com/rom1504/clip-retrieval) - Searches for prompt keywords in the datasets used in training Stable Diffusion and other models ([Online GUI](https://rom1504.github.io/clip-retrieval/)).
* [Stable Diffusion How To](https://www.assemblyai.com/blog/how-to-run-stable-diffusion-locally-to-generate-images/) - A basic tutorial on getting Stable Diffusion up and running.
* [Installing on Windows](https://rentry.org/SDInstallation) - A guide on installing and runing Stable Diffusion on Windows.
* [Running on M1 Apple Silicon](https://www.reddit.com/r/StableDiffusion/comments/wx0tkn/stablediffusion_runs_on_m1_chips/) - Reddit thread with instructions on running Stable Diffusion on Apple M1 CPU and GPU.
* [Easy CPU-only Stable Diffusion](https://rentry.org/cpu_stable_diffusion_guide) - A guide on setting up CPU-only Stable Diffusion for GNU/Linux without littering the system with dependencies.
* ["Ultimate GUI Retard Guide"](https://rentry.org/GUItard) - Tutorial for installing the [hlky fork](https://github.com/hlky/stable-diffusion) along with its [WebUI](https://github.com/hlky/stable-diffusion-webui).
* [Stable Diffusion Akashic Records](https://github.com/Maks-s/sd-akashic) - A comprehensive curated list of guides, studies, keywords, prompts and artists.
* [AI Image Generator Comparison](https://petapixel.com/2022/08/22/ai-image-generators-compared-side-by-side-reveals-stark-differences/) - A visual comparison between Dall-e, Stable Diffusion and Midjourney by PetaPixel.com.
* [Gettint great results at Stable Diffusion](https://old.reddit.com/r/StableDiffusion/comments/x41n87/how_to_get_images_that_dont_suck_a/) - A guide on generating images that don't suck.
* [Building a SD Discord Bot](https://replicate.com/blog/build-a-robot-artist-for-your-discord-server-with-stable-diffusion) - A tutorial on building a Stable Diffusion Discord bot using Python.
* [1 week of Stable Diffusion](https://multimodal.art/news/1-week-of-stable-diffusion) - A curated list of Stable Diffusion services, adaptations, user interfaces and integrations.
* 🖊️💵 [Dream Studio](http://beta.dreamstudio.ai/) - Online art generation service by StabilityAI, the creators of Stable Diffusion. Similar to services like DALL-E or Midjourney, this operates on a credit model with a free allowance of credits given to signed up users on a monthly basis.
* 🖊️💵 [dream.ai](https://www.dream.ai/) - Online art generation service by Wombo.ai (mobile apps available).
