tgo-app-dev/vpipe
Real-time multimodal AI pipelines on Apple Silicon
- Stars
- 225
- Forks
- 19
- Open issues
- 12
- Last push
- 2d ago
vpipe star history
+7 this week
About vpipe
vpipe is a free, open-source AI image tool by tgo-app-dev, written mainly in C++. Real-time multimodal AI pipelines on Apple Silicon. It has 225 GitHub stars and 19 forks, and was last updated 2d 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
- C++
- Stars
- 225
- Last update
- 2d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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vpipe FAQ
Can I use vpipe 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 vpipe free?
Yes. vpipe is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does vpipe run on a Mac?
Yes. According to the project, vpipe works on macOS.
Does vpipe need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is vpipe still maintained?
Yes. It was last updated 2d ago and has 12 open issues on GitHub.
What are alternatives to vpipe?
Similar free, open-source tools include photocraft, gpt_image_playground, FireRed-Image-Edit, upscayl.
Maintain vpipe?
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