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 reports/vae/trials.json from devin-lai/MiniMax-H3-Image-mlx: direct link, hf CLI and curl.
- Browser
- Download file 2.51 kB
-
https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/main/reports/vae/trials.json
- Command line
-
hf download hf://devin-lai/MiniMax-H3-Image-mlx/reports/vae/trials.json
-
curl -L -o trials.json https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/main/reports/vae/trials.json
2.51 kB
| { | |
| "environment": { | |
| "platform": "macOS-27.0.1-arm64-arm-64bit", | |
| "machine": "arm64", | |
| "metal": { | |
| "device_name": "Apple M5 Pro", | |
| "max_recommended_working_set_size": 55662788608, | |
| "memory_size": 68719476736, | |
| "architecture": "applegpu_g17s", | |
| "max_buffer_length": 41747087360, | |
| "resource_limit": 499000 | |
| }, | |
| "versions": { | |
| "mlx": "0.32.4", | |
| "mlx-metal": "0.32.4", | |
| "numpy": "2.5.4", | |
| "safetensors": "0.8.0", | |
| "transformers": "4.57.6", | |
| "torch": "2.15.0", | |
| "Pillow": "13.0.0", | |
| "scikit-image": "0.26.0" | |
| }, | |
| "precision_environment": { | |
| "MLX_ENABLE_TF32": "0", | |
| "MLX_CONV_WINOGRAD": "0" | |
| } | |
| }, | |
| "source_trace": "outputs/suite/product/native-3.trace.safetensors", | |
| "scope": "Same final latent; decoder only, loaded weights and one warmup excluded", | |
| "trials": [ | |
| { | |
| "batch": 1, | |
| "median_ms": 2972.3427920835093, | |
| "min_ms": 2965.7569171395153, | |
| "max_ms": 2978.9286670275033, | |
| "samples_ms": [ | |
| 2978.9286670275033, | |
| 2965.7569171395153 | |
| ], | |
| "pixel_identical": true, | |
| "mae_8bit": 0.0, | |
| "max_error_8bit": 0, | |
| "psnr_db": null, | |
| "ssim_rgb": 1.0, | |
| "max_float_error": 0.0 | |
| }, | |
| { | |
| "batch": 4, | |
| "median_ms": 2013.5446878848597, | |
| "min_ms": 2011.7882918566465, | |
| "max_ms": 2015.301083913073, | |
| "samples_ms": [ | |
| 2011.7882918566465, | |
| 2015.301083913073 | |
| ], | |
| "pixel_identical": true, | |
| "mae_8bit": 0.0, | |
| "max_error_8bit": 0, | |
| "psnr_db": null, | |
| "ssim_rgb": 1.0, | |
| "max_float_error": 0.0 | |
| }, | |
| { | |
| "batch": 8, | |
| "median_ms": 1931.3540210714564, | |
| "min_ms": 1928.6854171659797, | |
| "max_ms": 1934.022624976933, | |
| "samples_ms": [ | |
| 1928.6854171659797, | |
| 1934.022624976933 | |
| ], | |
| "pixel_identical": false, | |
| "mae_8bit": 0.1251803239186605, | |
| "max_error_8bit": 4, | |
| "psnr_db": 56.9881575908215, | |
| "ssim_rgb": 0.9989046120633382, | |
| "max_float_error": 0.015625 | |
| }, | |
| { | |
| "batch": 16, | |
| "median_ms": 1898.3302710112184, | |
| "min_ms": 1892.1958750579506, | |
| "max_ms": 1904.4646669644862, | |
| "samples_ms": [ | |
| 1892.1958750579506, | |
| 1904.4646669644862 | |
| ], | |
| "pixel_identical": false, | |
| "mae_8bit": 0.12682731946309408, | |
| "max_error_8bit": 4, | |
| "psnr_db": 56.93080322502411, | |
| "ssim_rgb": 0.9988915771568488, | |
| "max_float_error": 0.015625 | |
| } | |
| ] | |
| } | |