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Duplicate from joeygambino/MiniMax-H3-x-Z-Image-native
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---
license: other
license_name: minimax-h3-community-license
license_link: https://huggingface.co/Comfy-Org/MiniMax-H3
base_model:
- MiniMaxAI/MiniMax-H3
tags:
- comfyui
- comfy-native
- comfy-quant
- minimax-h3
- z-image
- video-generation
- audio-video
- merge
pipeline_tag: text-to-video
---
# MiniMax-H3 Γ— Z-Image β€” spatial detail graft (comfy-native)
The comfy-native cuts of the [MiniMax-H3 Γ— Z-Image graft](https://huggingface.co/joeygambino/MiniMax-H3-x-Z-Image-GGUF):
Z-Image's spatial-attention profile on H3's engine β€” richer sets and textures, same identity,
no per-shot sharpening creep. Full story, demos and verification on the GGUF page.
Load with the plain **Load Diffusion Model** node, ComfyUI 0.32+. Files are the `pruned`
H3 builds with the graft baked in (`zs05` = late-block gains, dose 0.5):
- `bf16` β€” the master (ref2va)
- `comfy-fp8` / `fp8e5m2` β€” fp8 scaled
- `comfy-int8` / `int8_convrot` β€” the fast pick on RTX 50
- `comfy-w4a8` / `w4a4` / `nvfp4` β€” 4-bit family for 16 GB cards (`w4a8` is the quality pick; `nvfp4` is Blackwell-native, emulated elsewhere)
- `comfy-mxfp8` β€” 8-bit microscaling, Blackwell-specialized; little benefit on older architectures
- fl2va and ref2va variants where both exist; picking rules are identical to stock H3
RTX 30/40: the GGUF repo is 4–8Γ— faster than any 4-bit comfy-native arm on Ampere.
Made by joeygambino. Questions: open a discussion β€” I answer.