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 optimization/round-03/hypotheses.json from devin-lai/MiniMax-H3-Image-mlx: direct link, hf CLI and curl.
- Browser
- Download file 1.79 kB
-
https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/main/optimization/round-03/hypotheses.json
- Command line
-
hf download hf://devin-lai/MiniMax-H3-Image-mlx/optimization/round-03/hypotheses.json
-
curl -L -o hypotheses.json https://huggingface.co/devin-lai/MiniMax-H3-Image-mlx/resolve/main/optimization/round-03/hypotheses.json
1.79 kB
| { | |
| "queue": [ | |
| { | |
| "id": "head-layout", | |
| "class": "exact-or-numerical", | |
| "mechanism": "Contiguous per-head Q/K/V might remove strided memory access; count copy costs. Reject no operator/block win or quality gate." | |
| }, | |
| { | |
| "id": "m5-fc2-tiles", | |
| "class": "exact-or-numerical", | |
| "mechanism": "Native FC2 K=14336 selects BK64; test MPP BK128/256/512 and cache walk. FP32 accumulation, BF16 epilogue. Full trajectory validates reduction changes." | |
| }, | |
| { | |
| "id": "vector-unpack", | |
| "class": "exact", | |
| "mechanism": "Reconstruct 2/4/8 lossless BF16 lanes per thread, fewer redundant nibble loads. Decode+GEMM and full packed block must improve." | |
| }, | |
| { | |
| "id": "sparse-embedding", | |
| "class": "exact", | |
| "mechanism": "Read only actual token rows, avoiding loading 1.45GiB vocabulary on cold encoding; measure phase-specific peak." | |
| }, | |
| { | |
| "id": "exact-qk-rope", | |
| "class": "numerical-until-proven", | |
| "mechanism": "Replicate native RMS reduction and cast order in one head-major producer. Retain native fallback." | |
| } | |
| ], | |
| "deprioritized": [ | |
| { | |
| "mechanism": "CoreML CPU/GPU/ANE/all VAE", | |
| "reason": "Already measured complete images in v2. All-GPU ~MLX speed, ANE slower and b8 corrupted tiles; VAE <=3% total latency limits payoff." | |
| }, | |
| { | |
| "mechanism": "Unscaled FP16 GEMM, skipped flow heads, approximate Q4/Q8", | |
| "reason": "Actual full trajectories previously failed finite or visual accuracy gates." | |
| }, | |
| { | |
| "mechanism": "MPS/CPU dense, whole DiT CoreML export", | |
| "reason": "Prior real operator tests did not identify a throughput advantage; huge export/compile and memory cost. Revisit only if a new operator mechanism qualifies." | |
| } | |
| ] | |
| } | |