OneDiff: An out-of-the-box acceleration library for diffusion models.
Speed up image generation tasks with diffusion models using a ready-to-use library.
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onediff has 2k stars on GitHub. It has been forked 128 times. onediff is written mainly in Jupyter Notebook. It has been in active development since 2022. onediff is available under the Apache-2.0 license. Its main topics are aigc-serving, comfyui, comfyui-workflow, cuda.
OneDiff: An out-of-the-box acceleration library for diffusion models.
onediff is an open-source project. It is released under the Apache-2.0 license.
Yes. onediff is free and open source — you can use, modify and self-host it.
onediff is available under the Apache-2.0 license.
onediff is written mainly in Jupyter Notebook.
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