Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
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Free · no card · unsubscribe anytimeImplementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
Dreambooth-Stable-Diffusion has 3.2k stars on GitHub. It has been forked 527 times. Dreambooth-Stable-Diffusion is written mainly in Jupyter Notebook. It has been in active development since 2022. Dreambooth-Stable-Diffusion is available under the MIT license. Its main topics are ai, artificial-intelligence, image-generation, img2img.
What is Dreambooth-Stable-Diffusion?
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
Is Dreambooth-Stable-Diffusion open source?
Dreambooth-Stable-Diffusion is an open-source project. It is released under the MIT license.
Is Dreambooth-Stable-Diffusion free?
Yes. Dreambooth-Stable-Diffusion is free and open source — you can use, modify and self-host it.
What license does Dreambooth-Stable-Diffusion use?
Dreambooth-Stable-Diffusion is available under the MIT license.
What language is Dreambooth-Stable-Diffusion written in?
Dreambooth-Stable-Diffusion is written mainly in Jupyter Notebook.
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