Instructions to use LSDJesus/MiniMax-H3-Image-fp8-nvfp4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use LSDJesus/MiniMax-H3-Image-fp8-nvfp4 with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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Download README.md from LSDJesus/MiniMax-H3-Image-fp8-nvfp4: direct link, hf CLI and curl.
- Browser
- Download file 3.95 kB
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https://huggingface.co/LSDJesus/MiniMax-H3-Image-fp8-nvfp4/resolve/main/README.md
- Command line
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hf download hf://LSDJesus/MiniMax-H3-Image-fp8-nvfp4/README.md
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curl -L -o README.md https://huggingface.co/LSDJesus/MiniMax-H3-Image-fp8-nvfp4/resolve/main/README.md
3.95 kB
| license: other | |
| license_name: minimax-h3-image-community-license-agreement | |
| license_link: LICENSE | |
| base_model: | |
| - MiniMaxAI/MiniMax-H3-Image | |
| base_model_relation: quantized | |
| pipeline_tag: text-to-image | |
| tags: | |
| - comfyui | |
| - diffusion-single-file | |
| - minimax-h3 | |
| - fp8 | |
| - nvfp4 | |
| - text-to-image | |
| - image-editing | |
| # MiniMax-H3-Image fp8 scaled and NVFP4 (ComfyUI) | |
| Two more precisions of the MiniMax-H3-Image diffusion transformer for | |
| ComfyUI, alongside the bf16, int8 ConvRot and w4a8 files in | |
| [Comfy-Org/MiniMax-H3-Image](https://huggingface.co/Comfy-Org/MiniMax-H3-Image). | |
| They are drop-in replacements for those: same layout, same loader, same | |
| workflow. GGUF versions are in | |
| [LSDJesus/MiniMax-H3-Image-GGUF](https://huggingface.co/LSDJesus/MiniMax-H3-Image-GGUF). | |
| > **Modified files.** These are quantized versions of MiniMax-H3-Image, made | |
| > from Comfy-Org's `minimax_h3_image_pruned_bf16.safetensors`. | |
| > MiniMax-H3-Image is licensed under the MiniMax-H3-Image Community License | |
| > Agreement, Copyright © 2026 MiniMax. All Rights Reserved. See `LICENSE` and | |
| > `NOTICE`. Among other terms, the license grants rights only outside the | |
| > European Union, the United Kingdom, South Korea and the United States | |
| > (sections I.5 and II), and it includes an acceptable use policy. Read it | |
| > before downloading. | |
| ## Files | |
| | File | Format | Size | Runs natively on | Speed | | |
| | --- | --- | --- | --- | --- | | |
| | `minimax_h3_image_pruned_fp8_scaled.safetensors` | fp8 e4m3, one scale per weight tensor | 21.0 GB | RTX 40 and RTX 50 | 2.1 steps/s | | |
| | `minimax_h3_image_pruned_nvfp4.safetensors` | NVFP4 (fp4 with fp8 scales per 16 values) | 12.5 GB | RTX 50 and other Blackwell | 3.4 steps/s | | |
| Speed is sampling at 2048×2048 on an RTX PRO 6000 Blackwell. On the same card | |
| Comfy-Org's int8 ConvRot ran 2.6 steps/s and w4a8 2.5. On cards without | |
| native support for a format, ComfyUI still runs it, more slowly. | |
| ## Requirements | |
| - **ComfyUI with MiniMax-H3-Image support**, merged on 10 November 2026 | |
| (ComfyUI 0.44). | |
| - The text encoder (`qwen3vl_32b_minimax_h3_nvfp4_awq` or `_int8_convrot`) and | |
| the VAE (`minimax_h3_image_vae_fp16`) from | |
| [Comfy-Org/MiniMax-H3-Image](https://huggingface.co/Comfy-Org/MiniMax-H3-Image). | |
| Put the file in `models/diffusion_models/`, open ComfyUI's **MiniMax H3 | |
| Image** template and choose it in Load Diffusion Model. | |
| ## What is quantized | |
| The same 200 layers that Comfy-Org quantizes in its int8 and w4a8 files: the | |
| fused `qkv_proj`, `out_proj`, `mlp.fc1` and `mlp.fc2` of the 50 transformer | |
| blocks, 95.8% of the weights. The token refiner, the condition projection, | |
| the adaLN time-curve basis, the patch and output projections and all norms | |
| are kept as in the bf16 source, as are the per-block int8 attention setting | |
| and the `config` metadata with the 6-step PDD schedule. | |
| - **fp8 scaled**: e4m3 weights with one scale per tensor. `mlp.fc2` is tagged | |
| `full_precision_matrix_mult` (fp8 weights, matrix multiply in bf16), as in | |
| Comfy-Org's own MiniMax-H3 fp8 files. Its input has outliers that ComfyUI's | |
| on-the-fly per-tensor fp8 activation scale cannot hold: without the tag the | |
| render drifted far more than NVFP4 (the subject changed and text was | |
| misspelled). The other layers quantize their activations on the fly; there | |
| are no calibrated activation scales. | |
| - **NVFP4**: E2M1 values with an e4m3 scale per block of 16 and one global | |
| scale per tensor, made with ComfyUI's comfy-kitchen quantizer. | |
| ## Quality | |
| One render per file, seed 42, 2048×2048, 6 steps, compared with Comfy-Org's | |
| int8 ConvRot render. Left: whole image; right: a 1:1 crop. A 6-step model | |
| changes its composition a little with any change to the weights, so | |
| differences in pose and layout are normal; look for broken texture and text. | |
| The template's own prompt: | |
|  | |
| A held-out photographic prompt (a fruit market with signs): | |
|  | |