Imagem
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
★ 34,6 mil estrelasApache-2.0
Ver o guia →dgenerate é um projeto de imagem de código aberto de Teriks (Teriks/dgenerate no GitHub). Tem 44 estrelas no GitHub e 1 forks, é publicado sob a licença BSD-3-Clause e foi atualizado pela última vez no GitHub em 4 de outubro de 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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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.