Productivity apps

ZouShilong1024/CycleDiff

Code for TIP2026 paper: CycleDiff: Cycle Diffusion Models for Unpaired Image-to-image Translation

MITPython

Open on GitHub Website

Stars: 104
Forks: 4
Open issues: 2
Last push: 6mo ago

About CycleDiff

CycleDiff is a free, open-source AI productivity app by ZouShilong1024, written mainly in Python. Code for TIP2026 paper: CycleDiff: Cycle Diffusion Models for Unpaired Image-to-image Translation. It has 104 GitHub stars and 4 forks, and was last updated 6mo ago. It's released under the MIT license, a standard open-source license.

License: MIT
Language: Python
Stars: 104
Last update: 6mo ago
Runs on Mac: Not stated
GPU: Not stated
Paid API key: Not stated
Self-hostable: Yes

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CycleDiff FAQ

Is CycleDiff free?

Yes. CycleDiff is open source and free to use. It's released under the MIT license, a standard open-source license.

Does CycleDiff run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does CycleDiff need a GPU?

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

Is CycleDiff still maintained?

It was last updated 6mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to CycleDiff?

Similar free, open-source tools include manga-image-translator, nextai-translator, argos-translate, read-frog.

Related topics

deep-learning diffusion-models unpaired-image-translation image-to-image-translation cross-modality-translation generative-adversarial-network style-transfer computer-vision