sd-scripts is a suite of utilities designed for fine-tuning generative models, preprocessing datasets, and converting model weights. It provides a collection of scripts for executing Stable Diffusion training through methods such as DreamBooth, textual inversion, and full fine-tuning, alongside a framework for creating and managing Low-Rank Adaptation weights.
The project features specialized capabilities for model weight conversion between different architectures and precision formats. It includes tools for merging adaptation weights into base models, extracting weights from trained models, and integrating multiple adaptation modules to blend styles or concepts.
The toolkit covers a broad range of generative AI operations, including image dataset preparation with automated tagging and aspect ratio bucketing, and various inference methods such as text-to-image, image-to-image, and inpainting. It also incorporates memory and performance optimizations, including VRAM management, latent caching, and just-in-time training acceleration.
The software provides integration for synchronizing training states and model checkpoints with the Hugging Face Hub.