Dreambooth-Stable-Diffusion and DreamBooth
These are competitors offering alternative implementations of the same Dreambooth fine-tuning technique for Stable Diffusion, with the XavierXiao version being significantly more established (125x more stars) and likely the more feature-complete or battle-tested option.
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 DreamBooth
zanilzanzan/DreamBooth
This repository contains the implementation of DreamBooth with Stable Diffusion. You can also find instructions to train a model on a vast.ai instance.
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