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 comparisons/README.md from devin-lai/MiniMax-H3-Image-mlx: direct link, hf CLI and curl.
- Browser
- Download file 3.81 kB
-
https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/main/comparisons/README.md
- Command line
-
hf download hf://devin-lai/MiniMax-H3-Image-mlx/comparisons/README.md
-
curl -L -o README.md https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/main/comparisons/README.md
3.81 kB
| # Image comparison gallery | |
| All comparison pictures are actual recorded inference outputs. Each stack | |
| contains labeled full frames, identical 1:1 crops and absolute RGB differences | |
| amplified eight times. Metrics apply to full-resolution images, not previews. | |
| | Comparison | Viewer | Image stack | Native detail crops | | |
| |---|---|---|---| | |
| | 2K product: BF16 tuning, Q8, Q4, three-pass preview | [Open](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/product/index.html) | [Frames](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/product/stack.png) | [Details](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/product/details.png) | | |
| | 2K portrait: native BF16 vs Q8 | [Open](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/portrait/index.html) | [Frames](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/portrait/stack.png) | [Details](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/portrait/details.png) | | |
| | Same final latent: VAE batches 1, 4, 8, 16 | [Open](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/vae/index.html) | [Frames](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/vae/stack.png) | [Details](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/vae/details.png) | | |
| | Saved CUDA BF16 vs MLX, product | [Open](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/product-cuda/index.html) | [Frames](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/product-cuda/stack.png) | [Details](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/product-cuda/details.png) | | |
| | Saved CUDA BF16 vs MLX, portrait | [Open](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/portrait-cuda/index.html) | [Frames](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/portrait-cuda/stack.png) | [Details](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/portrait-cuda/details.png) | | |
| | Saved CUDA BF16 vs MLX, native 4K | [Open](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/native-4k-cuda/index.html) | [Frames](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/native-4k-cuda/stack.png) | [Details](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/native-4k-cuda/details.png) | | |
| [The editing demonstration](https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx-examples/blob/v0.4.0/comparisons/edit-example/before-after.png) places the input | |
| reference beside the native MLX emerald-glass edit. It is a functional example, | |
| not a pixel-similarity comparison. | |
| The CUDA comparison uses the original saved RTX 5090 BF16 run with upstream | |
| `quality=lossless`. Its hardware and decoder quality setting differ from the | |
| MLX native tile recipe. It provides visual context; it does not isolate port | |
| error or establish a same-hardware speedup. | |
| The default MLX BF16 output is the reference for the quantization/tuning | |
| comparisons. Q8, Q4, fused kernels and fewer steps change its pixels. Read the | |
| [experiment report](../reports/RESULTS.md) before selecting a profile. | |
| Full-resolution Mac outputs and trace tensors are retained locally under | |
| `outputs/suite/` (ignored by Git). Source hashes, configuration, memory and | |
| timing records are exported under `reports/inference/` and each gallery's | |
| `metrics.json`. Original model weights are not included. | |