diegovalsesia/MMD-DDM
Fast Inference in Denoising Diffusion Models via MMD Finetuning
Generating high-quality images or other data samples using advanced AI models (Denoising Diffusion Models) often takes a very long time, requiring many steps. This project helps researchers and practitioners in AI make these models generate samples much faster. It takes an existing, pre-trained diffusion model and fine-tunes it to significantly reduce the number of steps needed to create high-quality outputs, improving the speed-quality trade-off.
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Use this if you need to generate high-quality images or other complex data samples quickly using Denoising Diffusion Models and are finding the process too slow.
Not ideal if you are looking for a tool to train a diffusion model from scratch, as this focuses on finetuning existing models for faster inference.
Stars
18
Forks
7
Language
Python
License
MIT
Category
Last pushed
Dec 04, 2023
Commits (30d)
0
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