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MiniMax H3 Image MLX · Original BF16 transformer

Unchanged BF16/FP32 transformer files from the pinned image checkpoint. This is the unmodified storage control; it includes the large timestep modulation matrices. The shared downloader omits its redundant support copy.

Community adaptation by Devin Lai. Powered by MiniMax-H3-Image.

Start here: install and quick start · Compare variants · Evidence and limitations

Measured performance · M5 Pro / 64 GiB

Measure	Result
Warm 2048 × 2048 image, tuned	62.49 s
Matched BF16 control → tuned	65.83 s → 62.49 s (5.07% lower)
Maximum sampled parent footprint	40.50 GiB
Transformer repository payload	61.73 GiB

The repository payload excludes the separately downloaded shared files and roughly 62 GiB text encoder. The BF16 transformer includes native support, so the downloader omits its redundant shared copy.

Warm 2048 × 2048 generation with all six steps, cached conditioning and resident weights. The result is the geometric mean of product and portrait medians, each with three alternating repeats. Startup and downloads are excluded. Peak is sampled parent-process physical footprint across four candidate cases, not a minimum memory requirement. The tested device was an M5 Pro with 16 GPU cores and 64 GiB, running MLX 0.32.4.

The optimized settings are optional and a new CLI process includes loading. Tuning flags · Method and receipts.

Download only this variant

After installing the main runtime and obtaining the required access:

h3-mlx download --variant bf16 --model-dir models/bf16
h3-mlx generate --model models/bf16 \
  --text-encoder models/bf16/text_encoder \
  'An editorial photograph of a cobalt perfume bottle on pale stone' \
  --seed 731 --output outputs/bottle.png

This fetches this variant, required shared components and the separately pinned native text encoder (roughly 62 GiB). It does not fetch other variants. Use --text-encoder-path /path/to/text_encoder to reuse an existing encoder. All image variants retain the six original PDD heads and native FP32 islands. The published compact format requires this runtime, not a generic Diffusers or mlx-lm loader. Tested on M5 Pro / 64 GiB; smaller Macs are unqualified.

Model card and terms

This is an inference port of MiniMaxAI/MiniMax-H3-Image at revision 6534ea1c979a5f8cb00c2bd1025d5ca4ee8d8901, not a newly trained model. No new training dataset is introduced. Training provenance, potential biases, intended uses and upstream limitations remain those of the original model. See modifications, license and NOTICE.

The MiniMax-H3-Image Community License Agreement and its acceptable-use policy apply, including territorial and commercial restrictions. The standard grant excludes the EU, UK, Republic of Korea and US. Access is subject to manual review; it does not provide separate permission. The upstream text encoder retains its own MiniMax H3 agreement. This is not an unrestricted open-source license or an official MiniMax endorsement.

Release: v0.4.1 (v0.4.0 weights with download-count metadata). Access requests are reviewed manually under the retained license. The actual file manifest records exact sizes and SHA-256 hashes.

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