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/4.safetensors from JoyFusionAI/Qwen-Image-2.1-MLX-8bit: direct link, hf CLI and curl.
- Browser
- Download file 2.11 GB
-
https://huggingface.co/JoyFusionAI/Qwen-Image-2.1-MLX-8bit/resolve/main/text_encoder/4.safetensors
- Command line
-
hf download hf://JoyFusionAI/Qwen-Image-2.1-MLX-8bit/text_encoder/4.safetensors
-
curl -L -o 4.safetensors https://huggingface.co/JoyFusionAI/Qwen-Image-2.1-MLX-8bit/resolve/main/text_encoder/4.safetensors
2.11 GB
- Xet hash:
- bcaeecfc8bd84425e02d03f7e567e26b2c02000a287b82652550001fd5c74352
- Size of remote file:
- 2.11 GB
- SHA256:
- f91d50300cf96d9ffc8e45f60283509de7f276a700aa9cddadd83d6543e4cdbb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.