Instructions to use Nurymanau/Qwen-Image-2.1-Q4_K_M-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Nurymanau/Qwen-Image-2.1-Q4_K_M-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen-Image-2.1-Q4_K_M-MLX Nurymanau/Qwen-Image-2.1-Q4_K_M-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download examples/sdcpp-composition-16.png from Nurymanau/Qwen-Image-2.1-Q4_K_M-MLX: direct link, hf CLI and curl.
- Browser
- Download file 670 kB
-
https://huggingface.co/Nurymanau/Qwen-Image-2.1-Q4_K_M-MLX/resolve/main/examples/sdcpp-composition-16.png
- Command line
-
hf download hf://Nurymanau/Qwen-Image-2.1-Q4_K_M-MLX/examples/sdcpp-composition-16.png
-
curl -L -o sdcpp-composition-16.png https://huggingface.co/Nurymanau/Qwen-Image-2.1-Q4_K_M-MLX/resolve/main/examples/sdcpp-composition-16.png
670 kB

- Xet hash:
- cfcfbf4b719435de7d70cafc5aa28e291309511f4e9d41fc606c13e4a8b00d14
- Size of remote file:
- 670 kB
- SHA256:
- 1b50ce89eca091df9dd8b4ebd28b972a8615efe2ed0c2483e96cbe2b50c2431b
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