youngwanLEE/sdxl-koala
[NeurIPS 2024] Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis
- Stars
- 147
- Forks
- 4
- Open issues
- 5
- Last push
- 9mo ago
About sdxl-koala
sdxl-koala is a free, open-source AI image tool by youngwanLEE, written mainly in Python. [NeurIPS 2024] Empirical Lessons Toward Memory-Efficient and Fast Diffusion Models for Text-to-Image Synthesis. It has 147 GitHub stars and 4 forks, and was last updated 9mo 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 8 GB of memory.
- License
- Not detected
- Commercial use
- No license
- Language
- Python
- Stars
- 147
- Last update
- 9mo ago
- Runs on Mac
- Not stated
- GPU
- 8 GB+ (as stated by the project)
- Paid API key
- Not stated
- Self-hostable
- Not stated
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sdxl-koala FAQ
Can I use sdxl-koala 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 sdxl-koala free?
Yes. sdxl-koala is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does sdxl-koala run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does sdxl-koala need a GPU?
According to the project, sdxl-koala needs a GPU with at least 8 GB of memory.
Is sdxl-koala still maintained?
It was last updated 9mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to sdxl-koala?
Similar free, open-source tools include photocraft, MOSS-Image, stable-diffusion-webui, upscayl.