Jit-Roy/WeeLLM
WeeLLM runs large diffusion models with as little as 4 GB of VRAM, without any quantization. It dynamically determines how many layers can fit within the available VRAM and streams the text encoder an
- Stars
- 127
- Forks
- 13
- Open issues
- 0
- Last push
- 1d ago
About WeeLLM
WeeLLM is a free, open-source AI image tool by Jit-Roy, written mainly in Python. WeeLLM runs large diffusion models with as little as 4 GB of VRAM, without any quantization. It dynamically determines how many layers can fit within the available VRAM and streams the text encoder an. It has 127 GitHub stars and 13 forks, and was last updated 1d ago. GitHub doesn't detect a standard license, so check the repository before using it commercially. According to the project, it needs a GPU with at least 4 GB of memory.
- License
- Not detected
- Commercial use
- No license
- Language
- Python
- Stars
- 127
- Last update
- 1d ago
- Runs on Mac
- Not stated
- GPU
- 4 GB+ (as stated by the project)
- Paid API key
- Not stated
- Self-hostable
- Not stated
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WeeLLM FAQ
Can I use WeeLLM commercially?
Unclear. No license was detected, which legally means all rights are reserved. Ask the author before using it commercially. This is a plain-English summary, not legal advice.
Is WeeLLM free?
Yes. WeeLLM is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does WeeLLM run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does WeeLLM need a GPU?
According to the project, WeeLLM needs a GPU with at least 4 GB of memory.
Is WeeLLM still maintained?
Yes. It was last updated 1d ago and has 0 open issues on GitHub.
What are alternatives to WeeLLM?
Similar free, open-source tools include stable-diffusion-webui, photocraft, diffusers, stable-diffusion.cpp.