Provides modular PyTorch pipelines and tools for training and running diffusion models across image, video, and audio. Ships ready pipelines (Stable Diffusion, img2img, inpainting, video), hardware optimizations, safety checks, and community examples — good for researchers and product teams.
Provides code, pretrained weights, and tooling for protein language models and structure prediction — including ESMC, ESMFold2, sparse autoencoders (SAEs), and the ESM Atlas. Includes model checkpoints, tutorials, Hugging Face & Biohub integration, and an MIT license.
