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Z-Image Turbo MXFP8

Updated: Jun 6, 2026

base model50xxquantz-imagezitmxfp8

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1 variant available

fp8 SafeTensor

zImageTurbo-mxfp8.safetensors

8-bit, smaller file • 6.23 GB

Verified:

Type
Checkpoint Trained
Stats

286

Reviews
Published

Jun 4, 2026

Base Model
Hash
AutoV212D2850C92
ComfyUI_temp_pdcpg_00015_.png

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.