Instructions to use moonbox-dev/Z-Image-Turbo-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use moonbox-dev/Z-Image-Turbo-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download moonbox-dev/Z-Image-Turbo-MLX --local-dir Z-Image-Turbo-MLX
- Diffusion Single File
How to use moonbox-dev/Z-Image-Turbo-MLX with Diffusion Single File:
# 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
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 399 Bytes
67f09d9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"format_version": 1,
"mflux_version": "0.24.0",
"created_at": "2026-11-12T07:57:25Z",
"updated_at": "2026-11-12T07:57:25Z",
"model_name": "bf16",
"base_model": "z-image-turbo",
"quantize": 4,
"size_gb": 5.9,
"upstream": {
"repo_id": null,
"revision": null,
"revision_date": null,
"size_gb": 20.53
},
"text_encoders": [
"text_encoder"
],
"loras": []
}
|