linzhiqiu/t2v_metrics
Evaluating text-to-image/video/3D models with VQAScore
- Stars
- 604
- Forks
- 75
- Open issues
- 3
- Last push
- 4mo ago
About t2v_metrics
t2v_metrics is a free, open-source LLM chat app by linzhiqiu, written mainly in Python. Evaluating text-to-image/video/3D models with VQAScore. It has 604 GitHub stars and 75 forks, and was last updated 4mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 604
- Last update
- 4mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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t2v_metrics FAQ
Is t2v_metrics free?
Yes. t2v_metrics is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does t2v_metrics run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does t2v_metrics need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is t2v_metrics still maintained?
It was last updated 4mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to t2v_metrics?
Similar free, open-source tools include Hands-On-Large-Language-Models, ai, repomix, Qwen.