Image-to-Image
Safetensors
MLX
mlx-gen
mflux
apple-silicon
4-bit precision
seedvr2
image-upscaling
super-resolution
Instructions to use AbstractFramework/seedvr2-3b-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use AbstractFramework/seedvr2-3b-4bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir seedvr2-3b-4bit AbstractFramework/seedvr2-3b-4bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 9fe3848ffcab9667a99c6ac5acaa7fdd87d46e52a402f3eb418d2db1e22ee258
- Size of remote file:
- 498 MB
- SHA256:
- 7c30b11c3b990cf7c3a91cac0556b27f31a56a9cb53280d2553151d6e2042209
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