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
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Download docs/MODIFICATIONS.md from devin-lai/MiniMax-H3-Image-mlx: direct link, hf CLI and curl.
- Browser
- Download file 1.48 kB
-
https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/refs%2Fpr%2F1/docs/MODIFICATIONS.md
- Command line
-
hf download hf://devin-lai/MiniMax-H3-Image-mlx@refs/pr/1/docs/MODIFICATIONS.md
-
curl -L -o MODIFICATIONS.md https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/refs%2Fpr%2F1/docs/MODIFICATIONS.md
1.48 kB
| # Community adaptation and release scope | |
| Independent MLX/Metal inference adaptation by Devin Lai, based on the inspected | |
| SGLang MiniMax H3 and Transformers Qwen3-VL inference contracts. Upstream | |
| source identities and file digests are retained in | |
| [sources.json](../provenance/sources.json). This is not an official MiniMax | |
| release or endorsement. Powered by MiniMax-H3-Image. | |
| The adaptation implements streamed text/vision conditioning, native six-step | |
| image denoising, single-frame reference encoding, tiled decoding, bounded | |
| weight residency, exact inference-intermediate caches, lossless BF16 decoding, | |
| prequantized linear inference and optional shape-qualified Metal tuning. | |
| Version 0.5.0 separates the public runtime from the private development | |
| workspace. It removes model conversion, online quantization, packing encoders, | |
| Core ML export/development tooling and model-publishing scripts. No private | |
| Git history or checkpoint tensors are imported into the public repository. | |
| Only inference, model download/verification, output comparisons, benchmark | |
| measurement, tests, documentation and public-release checks are included. | |
| The model catalog continues to pin the existing v0.4.1 Hub components. This | |
| release does not republish or change model weights. Their own modification | |
| notices and agreements accompany downloaded components under `licenses/`. | |
| The repository's Apache-2.0 license applies to runtime code; model weights and | |
| outputs retain their separate upstream terms. | |