Dreambooth-Stable-Diffusion and dreambooth-stable-diffusion
The first is a general-purpose DreamBooth implementation framework, while the second is a personal fine-tuning example built on top of similar techniques, making them ecosystem siblings where B demonstrates practical application of the approach pioneered in A.
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-stable-diffusion
AlbertSuarez/dreambooth-stable-diffusion
🖼 Dreambooth example using my photos
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