CivArchive
    MiniMax-H3 x Z-Image - richer sets and textures, same identity (the spatial detail graft) - fl2va
    Preview 140508610

    Z-Image's eye for texture on MiniMax-H3's engine. Drop-in replacements for the standard H3 checkpoints: same identity, same voices, same speed, same VRAM, same workflows - but sets and surfaces render noticeably richer. Peeling paint peels harder, rust bleeds further, water carries more light.

    And the extra detail stays flat across chained shots - measured on the same seed, the graft ran a 0.99 texture ratio over three joins where stock drifted to 1.11. More detail, no per-shot sharpening creep from the graft.

    What is this, actually

    Z-Image is a 6B image model with exceptional fine-texture rendering. Both it and MiniMax-H3 normalise attention queries per head - so the shape of how sharply each attention head commits to fine detail can be transplanted between them by rescaling those normalisation weights. That's the whole trick: no retraining, no new knowledge, H3 keeps everything it knows and attends to texture the way Z-Image does. Early blocks are deliberately left untouched (grafting them creates a weave artifact in tile-like textures - we measured, so you don't have to). This is the second marriage in this line - Joy-LTX 2.5 put JoyAI-Echo's performance on LTX-2.5's engine the same way, donor to engine. The statistics-transplant mechanism here is our own; a nod to TenStrip, whose H3 attention experiments sparked the question of what an image model could donate.

    Which file

    • fl2va (default) - the first/last-frame variant. Chains, lands on supplied frames, the everyday pick.

    • ref2va - the reference variant: reference images, voice anchoring, the identity bank. Pick it when a character must persist.

    • Q8_0 for 32 GB cards, Q5_1 for 24 GB, Q4_0 for 16 GB.

    • More formats (plain non-curve bakes, bf16, fp8, int8, w4a8, nvfp4 comfy-native) are on Hugging Face - links below.

    Install

    Put the file where your H3 checkpoints live. Pick it in your loader. Done - every H3 workflow works unchanged, including the MiniMax-H3 Multishot seamless-chain canvases.

    All formats: the GGUF and comfy-native repos on Hugging Face (joeygambino). Workflows: the MiniMax-H3 Multishot page. Questions: comment here - I answer.

    Description

    The default variant. Chains seamlessly, lands on supplied first/last frames.

    • MiniMax-H3-fl2va-curve-zs05-Q8_0.gguf - 21.5 GB - 32 GB cards.

    • MiniMax-H3-fl2va-curve-zs05-Q5_1.gguf - 15.2 GB - 24 GB cards.

    • MiniMax-H3-fl2va-curve-zs05-Q4_0.gguf - 11.5 GB - 16 GB cards.

    Plain (non-curve) bakes and comfy-native formats (bf16 / fp8 / int8 / w4a8 / nvfp4) are on Hugging Face.

    Checkpoint
    MiniMax H3

    Details

    Downloads
    19
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/22/2026
    Updated
    8/22/2026
    Deleted
    -

    Files

    minimaxH3XZImageRicherSetsAnd_fl2va.gguf

    minimaxH3XZImageRicherSetsAnd_fl2va.gguf

    minimaxH3XZImageRicherSetsAnd_fl2va.gguf