Image-to-Image
Safetensors
MLX
mlx-gen
mflux
apple-silicon
4-bit precision
seedvr2
image-upscaling
super-resolution
Instructions to use AbstractFramework/seedvr2-7b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/seedvr2-7b-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir seedvr2-7b-4bit AbstractFramework/seedvr2-7b-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 3e3b666c1d519570e54320f5eb789e889415fe4353804a4ff7964f8fafc9aa91
- Size of remote file:
- 498 MB
- SHA256:
- df03120c5c02d862dd0b78c42cc58b9dce3c7b28252ac9604e7544ddcd14e37c
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