{"library":"k-diffusion","type":"library","category":null,"description":"K-Diffusion is a PyTorch library implementing the improved diffusion models from Karras et al. (2022). It provides a highly optimized collection of samplers (e.g., DPM-Solver, Euler) and utilities for building and running stable diffusion models. The current version is 0.1.1.post1, and it maintains an active, community-driven release schedule primarily focused on stability and integration with other generative AI projects.","language":"python","status":"active","version":"0.1.1.post1","tags":["diffusion models","pytorch","deep learning","generative AI","karras"],"last_verified":"Tue May 26","install":[{"cmd":"pip install k-diffusion","imports":["from k_diffusion import sampling\n# ... sampling.sample_dpmpp_2m(...)","from k_diffusion import external\n# ... external.CompVisDenoiser(...)"]}],"homepage":null,"github":"https://github.com/crowsonkb/k-diffusion","docs":null,"changelog":null,"pypi":"https://pypi.org/project/k-diffusion/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":30,"avg_install_s":88.2,"avg_import_s":16.08,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/k-diffusion/compatibility"}}