G-U-N/Rectified-Diffusion
[ICLR 2025] Rectified Diffusion: Straightness Is Not Your Need
This project offers a more efficient and effective way to generate high-quality images using diffusion models. It takes existing image generation models (like Stable Diffusion) and optimizes their underlying processes. The result is better images, faster, which is valuable for researchers and practitioners working on advanced image synthesis and generative AI applications.
245 stars. No commits in the last 6 months.
Use this if you are a researcher or engineer aiming to improve the training efficiency and generation quality of diffusion models for image synthesis.
Not ideal if you are looking for an off-the-shelf application to generate images without needing to delve into model optimization or training.
Stars
245
Forks
9
Language
Python
License
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Last pushed
Mar 11, 2025
Commits (30d)
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