Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, IP-Adapter.
Explore a collection of research papers and resources on customizing image generation with diffusion models.
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Free · no card · unsubscribe anytimePapers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, IP-Adapter.
Awesome-Controllable-Diffusion has 505 stars on GitHub. It has been forked 30 times. It has been in active development since 2023. Awesome-Controllable-Diffusion is available under the MIT license. Its main topics are controlnet, customization, dall-e, diffusion-models.
Papers and resources on Controllable Generation using Diffusion Models, including ControlNet, DreamBooth, IP-Adapter.
Awesome-Controllable-Diffusion is an open-source project. It is released under the MIT license.
Yes. Awesome-Controllable-Diffusion is free and open source — you can use, modify and self-host it.
Awesome-Controllable-Diffusion is available under the MIT license.
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