Instructions to use JoyFusionAI/Qwen-Image-2.1-MLX-8bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- mflux
How to use JoyFusionAI/Qwen-Image-2.1-MLX-8bit with mflux:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- MLX
How to use JoyFusionAI/Qwen-Image-2.1-MLX-8bit with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir Qwen-Image-2.1-MLX-8bit JoyFusionAI/Qwen-Image-2.1-MLX-8bit
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download text_encoder/0.safetensors from JoyFusionAI/Qwen-Image-2.1-MLX-8bit: direct link, hf CLI and curl.
- Browser
- Download file 2.1 GB
-
https://huggingface.co/JoyFusionAI/Qwen-Image-2.1-MLX-8bit/resolve/main/text_encoder/0.safetensors
- Command line
-
hf download hf://JoyFusionAI/Qwen-Image-2.1-MLX-8bit/text_encoder/0.safetensors
-
curl -L -o 0.safetensors https://huggingface.co/JoyFusionAI/Qwen-Image-2.1-MLX-8bit/resolve/main/text_encoder/0.safetensors
2.1 GB
- Xet hash:
- 854d1a2e26a8100e96d3e0a0b15ef011f33edcc9fadc47ab2350bd61e7169057
- Size of remote file:
- 2.1 GB
- SHA256:
- 68fd0881c228209d131487cd8fb1f61e988218fba3063cb942f7fd7dd8113d64
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