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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
★ 34,6 k étoilesApache-2.0
Voir le guide →dgenerate est un projet de image open source, créé par Teriks (Teriks/dgenerate sur GitHub). Il compte 44 étoiles sur GitHub et 1 forks, il est publié sous la licence BSD-3-Clause et a été mis à jour pour la dernière fois sur GitHub le 4 octobre 2026.
Scriptable command-line image and animation generator for Stable Diffusion
Follow the docs for your platform.
Describe generations in its scripting language.
The CLI renders images and animation frames.
Or compose workflows in the visual scripting env.
Generation as repeatable scripts.
Render frame sequences, not just stills.
Embed generation in your own code.
Visual environment for workflows.
SD and related techniques under the hood.
Runs wherever Python runs.
Download the source and move into the project folder.
git clone https://github.com/Teriks/dgenerate.git
cd dgenerateEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Teriks/dgenerate with 162 forks. Check the repo's contributors and recent commits to see how active maintenance is.
BSD-3-Clause licensed — commercial use allowed with attribution.
Stable Diffusion generation is far faster with one — check the docs.
CLI for batch jobs, library for embedding, GUI for visual scripting.
Yes — animation sequences are a core feature.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
FLUX, Stable Diffusion, SDXL, SD3, LoRA, Fine Tuning, DreamBooth, Training, Automatic1111, Forge WebUI, SwarmUI, DeepFake, TTS, Animation, Text To Video, Tut…
The node-graph powerhouse for precise, professional AI image and video generation.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.