Zheng-Chong/CatVTON
[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and
- Stars
- 1.9k
- Forks
- 240
- Open issues
- 73
- Last push
- 10mo ago
About CatVTON
CatVTON is a free, open-source machine learning tool by Zheng-Chong, written mainly in Python. [ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) and. It has 1.9k GitHub stars and 240 forks, and was last updated 10mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 1,878
- Last update
- 10mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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CatVTON FAQ
Is CatVTON free?
Yes. CatVTON is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does CatVTON run on a Mac?
Its README doesn't say. Check the installation guide on GitHub before you start.
Does CatVTON need a GPU?
Its README doesn't state hardware needs. AI models generally run much faster with a GPU.
Is CatVTON still maintained?
It was last updated 10mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to CatVTON?
Similar free, open-source tools include pytorch-image-models, transformerlab-app, align-anything, finetrainers.