MiniMax-H3 Γ Z-Image β spatial detail graft (comfy-native)
The comfy-native cuts of the MiniMax-H3 Γ Z-Image graft: 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):
bf16β the master (ref2va)comfy-fp8/fp8e5m2β fp8 scaledcomfy-int8/int8_convrotβ the fast pick on RTX 50comfy-w4a8/w4a4/nvfp4β 4-bit family for 16 GB cards (w4a8is the quality pick;nvfp4is Blackwell-native, emulated elsewhere)comfy-mxfp8β 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 4β8Γ faster than any 4-bit comfy-native arm on Ampere.
Made by joeygambino. Questions: open a discussion β I answer.
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MiniMaxAI/MiniMax-H3