shootthesound/Fizgig
Fizgig — LoRA & Fine-tune Studio for Klein 9B, Krea 2, MiniMax H3, Qwen Image 2.1, Anima & Z-Image Turbo and Ace-Step XL: train, fine-tune, profile, repair and extract LoRAs & LoKR for Image, Video &
- Stars
- 590
- Forks
- 60
- Open issues
- 8
- Last push
- today
About Fizgig
Fizgig is a free, open-source machine learning tool by shootthesound, written mainly in Python. Fizgig — LoRA & Fine-tune Studio for Klein 9B, Krea 2, MiniMax H3, Qwen Image 2.1, Anima & Z-Image Turbo and Ace-Step XL: train, fine-tune, profile, repair and extract LoRAs & LoKR for Image, Video &. It has 590 GitHub stars and 60 forks, and was last updated today. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 590
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Fizgig FAQ
Is Fizgig free?
Yes. Fizgig is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does Fizgig run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Fizgig need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Fizgig still maintained?
Yes. It was last updated today and has 8 open issues on GitHub.
What are alternatives to Fizgig?
Similar free, open-source tools include pytorch-image-models, peft, lora-scripts, SimpleTuner.