byeongjun-park/DTR
[ICLR 2024] Official pytorch implementation of "Denoising Task Routing for Diffusion Models"
This project helps machine learning engineers and researchers accelerate the training and improve the quality of their image generation models. It takes an existing diffusion model architecture and optimizes how it handles different denoising steps. The result is faster convergence and higher-quality generated images, without adding new parameters.
No commits in the last 6 months.
Use this if you are working with diffusion models for image generation and want to significantly improve their performance and training speed with minimal effort.
Not ideal if you are looking for a completely new image generation model rather than an optimization for existing diffusion model architectures.
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Language
Python
License
MIT
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Last pushed
Feb 19, 2024
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