Henry-Lee-real/DiTFuse
Official implementation of DiTFuse （TPAMI 2026）
- Stars
- 62
- Forks
- 2
- Open issues
- 1
- Last push
- 7mo ago
About DiTFuse
DiTFuse is a free, open-source computer vision tool by Henry-Lee-real, written mainly in Python. Official implementation of DiTFuse （TPAMI 2026）. It has 62 GitHub stars and 2 forks, and was last updated 7mo ago. It's released under the MIT license, a standard open-source license. According to the project, it needs a GPU with at least 12 GB of memory and works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 62
- Last update
- 7mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- 12 GB+ (as stated by the project)
- Paid API key
- Not stated
- Self-hostable
- Not stated
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DiTFuse FAQ
Can I use DiTFuse commercially?
Yes. MIT 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 DiTFuse free?
Yes. DiTFuse is open source and free to use. It's released under the MIT license, a standard open-source license.
Does DiTFuse run on a Mac?
Yes. According to the project, DiTFuse works on macOS.
Does DiTFuse need a GPU?
According to the project, DiTFuse needs a GPU with at least 12 GB of memory.
Is DiTFuse still maintained?
It was last updated 7mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to DiTFuse?
Similar free, open-source tools include yolov5, vision, vit-pytorch, supervision.