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    Z-Image Turbo MXFP8 - v1.0
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    Mixed 8-bit microscaling quantization of Z-Image Turbo (6B S3-DiT), generated with convert_to_quant. A Blackwell GPU with comfy-kitchen installed together with CUDA 13.x and at least PyTorch 2.10 is needed for this to work on ComfyUI.

    Faster inference than BF16 or FP8 on supported hardware. The quality loss is barely noticeable compared to BF16.

    Description

    Checkpoint
    ZImageTurbo

    Details

    Downloads
    85
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/4/2026
    Updated
    6/6/2026
    Deleted
    -

    Files

    zImageTurboMXFP8_v10.safetensors

    Mirrors

    HuggingFace (1 mirrors)