This repository is a curated list of resources for the Stable Diffusion AI model, targeting developers, researchers, and artists interested in generative AI. It provides a comprehensive overview of tools, forks, models, tutorials, and community resources, enabling users to quickly find and evaluate options for implementing or utilizing Stable Diffusion.

How It Works

The list categorizes resources into official releases, actively maintained forks, GUIs, complementary tools, training methods, and community hubs. It highlights key features of popular forks like AUTOMATIC1111 and InvokeAI, emphasizing their optimizations and extended functionalities over the original release. The compilation also details essential components like model checkpoints, upscaling tools, and prompt engineering resources.

Quick Start & Requirements

• Installation: Varies by fork; many offer user-friendly install scripts or Docker images. GUIs often provide standalone binaries.
• Prerequisites: Typically requires an NVIDIA GPU (though Apple Silicon, AMD, and CPU support exist in some forks), sufficient RAM/VRAM, and downloaded model weights (.ckpt files) from Huggingface.
• Resources: Official Colab notebooks may require Colab Pro for sufficient VRAM.

Highlighted Details

• Extensive list of forks with features like inpainting, outpainting, textual inversion, and various upscaling methods.
• Resources for fine-tuning models via DreamBooth and LoRA, and tools for prompt engineering and visualization.
• Includes GUIs for Windows, macOS, and Linux, as well as mobile-first PWAs and Blender/Krita/Photoshop plugins.
• Details on model checkpoints, including official releases and community-contributed models.

Maintenance & Community

• Actively maintained forks like AUTOMATIC1111 and InvokeAI are prominent.
• Community hubs include the official Stable Diffusion Discord, r/StableDiffusion subreddit, and various newsletters.

Licensing & Compatibility

• Licenses vary significantly across listed resources; some are MIT, others have unclear licensing (❓), and some are non-free/commercial (💵).
• Users must verify individual licenses for compatibility with commercial or closed-source projects.

Limitations & Caveats

• Many entries require third-party account creation (🖊️).
• Some forks remove safety classifiers, posing risks for public-facing services.
• The rapid evolution of the ecosystem means some listed resources may become stale or outdated quickly.