Diffusers
Open source · Image and video · huggingface/diffusers
What it does
Diffusers is Hugging Face's Python library for running and fine-tuning image, video and audio generation models. Most new open image models publish example code for it.
Good for: Developers adding image or video generation to their own Python code.
Diffusers on GitHub (opens in a new tab) Project homepage (opens in a new tab)
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The signals we checked
- Licence
- Apache-2.0 (OSI-approved open-source licence)
- Popularity
- Stars: 34,728 (checked 16 Oct 2026)
- Last commit
- 16 Oct 2026
- Open issues and PRs
- 1,492
- Status
- Active (not archived)
- Self-host
- ModerateA Python library; a GPU is needed for practical speed.
- GitHub topics
- deep-learning
- diffusion
- flux
- image-generation
- image2image
- image2video
- latent-diffusion-models
- pytorch
- qwen-image
- score-based-generative-modeling
More in image and video
- ComfyUI People who want full control over image or video generation on their own GPU.
- Upscayl Upscaling product photos or old images without uploading them anywhere.
- InvokeAI Designers who want a friendlier local image tool with canvas editing.
- Wan 2.2 Experimenting with open text-to-video and image-to-video on serious hardware.
No affiliate links on this page, and we are not paid by this project. The summary is our own plain-English description; check the repo for current features before you rely on it.
Stars, licences and commit dates come from the GitHub API, checked 16 Oct 2026. "Last commit" is the last push to the repo. Star counts are a rough popularity signal, not a quality score. There are no affiliate links in this section: links go straight to each project.