XavierXiao/Dreambooth-Stable-Diffusion
Implementation of Google's Dreambooth fine-tuning technique on Stable Diffusion for personalized text-to-image generation with few-shot training.
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This repository implements the Dreambooth fine-tuning approach from Google’s research on Stable Diffusion, enabling users to personalize image generation models with just a few example images. The implementation extends Textual Inversion by fine-tuning the entire diffusion model rather than just word embeddings, using PyTorch and PyTorch Lightning for training on GPU.
Frequently asked
- What is XavierXiao/Dreambooth-Stable-Diffusion?
- Implementation of Google's Dreambooth fine-tuning technique on Stable Diffusion for personalized text-to-image generation with few-shot training.
- Is Dreambooth-Stable-Diffusion open source?
- Yes — XavierXiao/Dreambooth-Stable-Diffusion is open source, released under the MIT license.
- What language is Dreambooth-Stable-Diffusion written in?
- XavierXiao/Dreambooth-Stable-Diffusion is primarily written in Jupyter Notebook.
- How popular is Dreambooth-Stable-Diffusion?
- XavierXiao/Dreambooth-Stable-Diffusion has 7.7k stars on GitHub.
- Where can I find Dreambooth-Stable-Diffusion?
- XavierXiao/Dreambooth-Stable-Diffusion is on GitHub at https://github.com/XavierXiao/Dreambooth-Stable-Diffusion.