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Z-Image Turbo MXFP8

Updated: Jun 4, 2026

base model50xxquantmxfp8

Download

1 variant available

fp8 SafeTensor

8-bit, smaller file • 6.23 GB

Verified:

Type

Checkpoint Trained

Stats

88

Reviews

Published

Jun 4, 2026

Base Model

ZImageTurbo

Hash

AutoV2
12D2850C92

License:

Apache 2.0

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.