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
File size: 3,809 Bytes
3da88e3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | # 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.
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