TiankaiHang/Min-SNR-Diffusion-Training
[ICCV 2023] Efficient Diffusion Training via Min-SNR Weighting Strategy
This project helps machine learning researchers and practitioners train diffusion models for image generation more efficiently. It takes image datasets like ImageNet and applies a novel weighting strategy during the training process, resulting in significantly faster convergence. The outcome is a high-quality, pre-trained image generation model.
268 stars. No commits in the last 6 months.
Use this if you are developing or training diffusion models and need to reduce the time and computational resources required to achieve state-of-the-art image generation results.
Not ideal if you are looking for an out-of-the-box image generation tool without needing to engage with model training or fine-tuning.
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268
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7
Language
Python
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Last pushed
Dec 10, 2024
Commits (30d)
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