Dreambooth-Stable-Diffusion and stable_diffusion_dreambooth_inpainting
These are complements: the first provides base Dreambooth fine-tuning for Stable Diffusion, while the second extends that capability by integrating inpainting into the fine-tuning workflow, allowing users to combine both techniques for more precise subject customization.
About Dreambooth-Stable-Diffusion
XavierXiao/Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
Fine-tunes the entire diffusion model's U-Net weights (rather than just embeddings) using paired subject images and class-level regularization images to prevent overfitting. Leverages gradient checkpointing and the Stable Diffusion v1 architecture, requiring a rare token identifier and synthetic or real regularization images during training to maintain model generalization across semantic variations.
About stable_diffusion_dreambooth_inpainting
davide97l/stable_diffusion_dreambooth_inpainting
Stable Diffusion Dreambooth Inpainting Finetuning
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