EnVision-Research/DDSM
Denoising Diffusion Step-aware Models (ICLR2024)
This project helps researchers and practitioners in machine learning generate high-quality images more efficiently using diffusion models. It takes an existing diffusion model and optimizes its computational steps. The output is a significantly faster image generation process without compromising the visual quality of the generated images, benefiting anyone who frequently generates images for research or application.
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Use this if you need to significantly reduce the computational cost and time of generating images using diffusion models, while maintaining excellent image quality.
Not ideal if you are not working with diffusion models for image generation, or if your primary concern is not computational efficiency.
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62
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Language
Python
License
MIT
Category
Last pushed
Feb 06, 2024
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