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):
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 4β8Γ faster than any 4-bit comfy-native arm on Ampere.
Made by joeygambino. Questions: open a discussion β I answer.