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xie-lab-ml/Golden-Noise-for-Diffusion-Models

[ICCV2025] The code of our work "Golden Noise for Diffusion Models: A Learning Framework".

Commercial OK · Apache-2.0Runs on MacPython
Stars
199
Forks
9
Open issues
9
Last push
7mo ago

Golden-Noise-for-Diffusion-Models star history

+0 this week

199 ★
21 Oct25 Oct
Golden-Noise-for-Diffusion-Models went from 199 to 199 GitHub stars over the last 4 days.

About Golden-Noise-for-Diffusion-Models

Golden-Noise-for-Diffusion-Models is a free, open-source AI developer tool by xie-lab-ml, written mainly in Python. [ICCV2025] The code of our work "Golden Noise for Diffusion Models: A Learning Framework". It has 199 GitHub stars and 9 forks, and was last updated 7mo ago. It's released under the Apache-2.0 license, a standard open-source license. According to the project, it works on macOS.

License
Apache-2.0
Commercial use
Commercial OK
Language
Python
Stars
199
Last update
7mo ago
Runs on Mac
Yes (as stated by the project)
GPU
Not stated
Paid API key
Not stated
Self-hostable
Yes

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Golden-Noise-for-Diffusion-Models FAQ

Can I use Golden-Noise-for-Diffusion-Models commercially?

Yes. Apache-2.0 is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.

Is Golden-Noise-for-Diffusion-Models free?

Yes. Golden-Noise-for-Diffusion-Models is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.

Does Golden-Noise-for-Diffusion-Models run on a Mac?

Yes. According to the project, Golden-Noise-for-Diffusion-Models works on macOS.

Does Golden-Noise-for-Diffusion-Models need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is Golden-Noise-for-Diffusion-Models still maintained?

It was last updated 7mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to Golden-Noise-for-Diffusion-Models?

Similar free, open-source tools include lm-evaluation-harness, Foundation-Models-Framework-Lab, dspy, statsmodels.

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