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 MODEL_INDEX.md from devin-lai/MiniMax-H3-Image-mlx: direct link, hf CLI and curl.
- Browser
- Download file 2.84 kB
-
https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/main/MODEL_INDEX.md
- Command line
-
hf download hf://devin-lai/MiniMax-H3-Image-mlx/MODEL_INDEX.md
-
curl -L -o MODEL_INDEX.md https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/main/MODEL_INDEX.md
Model and repository index
The Hugging Face Hub uses sibling repositories grouped by a collection. The main repository links them; it does not contain nested Git repositories or any model weights. Each download selects one variant and shared components.
Repository under devin-lai/ |
Contents | Selection |
|---|---|---|
MiniMax-H3-Image-mlx |
Inference source, documentation, tests and comparison records | Install once |
MiniMax-H3-Image-mlx-packed12 |
Fifty losslessly packed main DiT blocks | Recommended exact storage choice |
MiniMax-H3-Image-mlx-bf16 |
Original complete BF16/FP32 transformer | Unmodified storage control |
MiniMax-H3-Image-mlx-q8 |
Q8 main blocks and token refiners, group 64 | Smaller weights, image changes |
MiniMax-H3-Image-mlx-q4 |
Q4 main blocks and token refiners, group 64 | Smallest core, larger image changes |
MiniMax-H3-Image-mlx-shared |
VAE, PDD heads, native support, configs and modulation tables | Fetched as needed, reused across variants |
MiniMax-H3-Image-mlx-examples |
Generated images and visual comparisons | Optional gallery, with manual access review |
The unchanged encoder is fetched from
MiniMaxAI/MiniMax-H3
at revision 0919fb684102ef115126612f3fbb84d1027e7317. Only its text_encoder/
directory and license are selected. This is about 62.14 GiB of weights and
tokenizer files; it is a substantial first download. An existing copy can be
reused with --text-encoder-path.
The image source is MiniMaxAI/MiniMax-H3-Image at revision
6534ea1c979a5f8cb00c2bd1025d5ca4ee8d8901. All uploaded model files receive
SHA-256 manifests; the runtime catalog pins each component repository to a
full commit ID. A v0.4.1 tag provides a human-readable
release name. Runtime options such as compiled execution, VAE tile batches
and reduced steps do not create additional model repositories.
Layout after downloading
models/packed12/
release.json
transformer/ # Native constants, norms, refiners and config
core/ # Only the chosen variant
modulation/ # Six-step generation and editing tables
vae/
pdd_config.json
pdd_fused_heads.safetensors
text_encoder/ # Link to the one shared upstream cache
licenses/
Files are linked to Hugging Face's cache rather than copied. Keep that cache
while using the assembled directory. --local-files-only supports cached,
offline assembly. --verify rehashes all selected image-model files; the
encoder download uses the Hub's pinned, content-addressed download mechanism.
Download size is different from runtime memory. The prepared release's exact
file sizes are recorded in each repository's files.json manifest.