zituitui/LML-diffusion-sampler
[ICCV 2025] Official implementation of "Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin".
This project offers an improved method for generating high-quality images from text descriptions or other inputs using diffusion models. It takes your existing diffusion model (like Stable Diffusion) and applies a sophisticated sampling technique to produce more realistic and detailed images. Image creators, digital artists, and researchers working with generative AI would use this to enhance their visual outputs.
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Use this if you are a machine learning practitioner or researcher who wants to get better visual quality from your diffusion models, especially when generating images with Stable Diffusion or other compatible frameworks like diffusers.
Not ideal if you are looking for a completely new image generation model or if you don't already work with diffusion models and their underlying code.
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13
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Language
Python
License
MIT
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Last pushed
Sep 02, 2025
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