Text-to-Image
MLX
MiniMax H3
Safetensors
English
apple-silicon
macos
image-to-image
image-editing
image-generation
Instructions to use devin-lai/MiniMax-H3-Image-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use devin-lai/MiniMax-H3-Image-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download devin-lai/MiniMax-H3-Image-mlx --local-dir MiniMax-H3-Image-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download h3_mlx/__init__.py from devin-lai/MiniMax-H3-Image-mlx: direct link, hf CLI and curl.
- Browser
- Download file 425 Bytes
-
https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/main/h3_mlx/__init__.py
- Command line
-
hf download hf://devin-lai/MiniMax-H3-Image-mlx/h3_mlx/__init__.py
-
curl -L -o __init__.py https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/main/h3_mlx/__init__.py
425 Bytes
| """MiniMax H3 Image, implemented in MLX. Heavy dependencies load on demand.""" | |
| import os | |
| # M5's default reduced-precision FP32 GEMM/attention path changes the model's | |
| # precision islands. Set these before importing MLX; explicit user overrides | |
| # remain possible and are recorded in every inference report. | |
| os.environ.setdefault("MLX_ENABLE_TF32", "0") | |
| os.environ.setdefault("MLX_CONV_WINOGRAD", "0") | |
| __version__ = "0.4.0" | |