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 docs/VALIDATION.md from devin-lai/MiniMax-H3-Image-mlx: direct link, hf CLI and curl.
- Browser
- Download file 3.9 kB
-
https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/refs%2Fpr%2F1/docs/VALIDATION.md
- Command line
-
hf download hf://devin-lai/MiniMax-H3-Image-mlx@refs/pr/1/docs/VALIDATION.md
-
curl -L -o VALIDATION.md https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/refs%2Fpr%2F1/docs/VALIDATION.md
3.9 kB
| # GitHub release validation | |
| Version **0.5.0** separates inference from the private conversion workspace. | |
| Its model catalog pins the existing **v0.4.1** Hub components. The historical | |
| warm performance campaigns in [BENCHMARKS.md](../BENCHMARKS.md) are separate | |
| from release-package correctness checks. | |
| ## Software and artifact checks | |
| All **61 tests pass** in an isolated environment on the local M5 Pro / 64 GiB with Python | |
| 3.12.14, MLX 0.32.4 and the dependency snapshot in | |
| [requirements-macos.lock](../requirements-macos.lock). It covers native/Qwen | |
| normalization, BF16 bias epilogues/SiLU, RoPE, causal GQA, QKV ordering, | |
| binary BF16 loading, exact vocabulary-row reads, packed decoding, prequantized | |
| Q4/Q8 inference, reference padding, VAE tiling/blending, output truncation, | |
| exact M5 kernels, native fallbacks, selective Hub downloads, immutable | |
| revisions, SHA-256 rejection and protection of existing model directories. | |
| The suite also checks that conversion options are rejected, the conversion | |
| module is absent, a missing packed block cannot create weights, and Q8/Q4 | |
| inference does not invoke online quantization. Read-only synthetic format | |
| fixtures exercise BF16 special-value payloads and packed/quantized matrices. | |
| No model-conversion implementation is included in the tests. | |
| `tools/check_release.py` audits source, wheel and sdist for unreviewed runtime | |
| modules, conversion operations and checkpoint artifacts. Lint, formatting, | |
| portable tests and package checks also run in GitHub Actions on Python 3.10 | |
| and 3.12 without model weights or an Apple GPU. Those portable checks are not | |
| evidence of hardware inference correctness. | |
| ## Installed-wheel inference | |
| Release receipts are recorded in [validation](validation). Full-image runs | |
| use the built wheel installed into an isolated environment, from outside the | |
| checkout. Import paths and version are checked before running. Model files | |
| are existing local components; package validation does not claim a fresh | |
| network download on another machine. | |
| The recorded product prompt, seed 731, 2048 × 2048 canvas, six original heads, | |
| CPU PyTorch noise are held fixed. BF16 and packed12 use the exact tuning | |
| profile (compiled DiT/VAE, VAE batch four); Q8/Q4 reproduce their recorded | |
| native DiT and uncompiled VAE batch-eight configurations. PNG and available | |
| saved trajectory identities are checked against the previous recorded outputs. | |
| Fresh-process wall times are retained for transparency and are not pooled | |
| with historical warm performance measurements. | |
| Actual software-check and image-reproduction results are listed in the | |
| machine-readable release receipt. Image files remain in local validation | |
| storage and the access-reviewed Hub sample gallery; receipts contain hashes | |
| and measurements. | |
| ## Results | |
| | Variant | Fresh v0.5.0 image | Saved trajectory | Evidence | | |
| |---|---|---|---| | |
| | BF16 | Exact PNG hash | All 16 tensors bit-identical | [Receipt](validation/bf16-receipt.json) | | |
| | packed12 | Exact PNG hash | All 16 tensors bit-identical | [Receipt](validation/packed12-receipt.json) | | |
| | Q8 | Exact PNG hash | All 16 tensors bit-identical | [Receipt](validation/q8-receipt.json) | | |
| | Q4 | Not rerun | Loader regression tests; historical image check retained | [Historical v0.4.0 receipt](validation/historical-v040-q4-receipt.json) | | |
| BF16 uses the original full transformer plus existing published shared | |
| components; packed12/Q8 use the existing assembled published variants without | |
| accessing the original transformer. Online quantization is forbidden during | |
| all three full-image checks. Each run imports the installed wheel and verifies | |
| that `h3_mlx.convert` is absent. | |
| The old local Q4 weight files are no longer present. Its pinned Hub file | |
| metadata is checked against `files.json`, separately from its historical | |
| full-image evidence; this is not a fresh Q4 image reproduction. | |
| [Release receipt](validation/release-receipt.json). | |