CivArchive
    Z-Image Turbo 16-bit — tested on 16 GB (RTX 5060 Ti), 11.0 s per image - v1.0
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    Simple text-to-image workflow for Z-Image Turbo, tested on an RTX 5060 Ti 16 GB with 32 GB RAM in ComfyUI 0.38.1. Measured: 11.0 s per 1024×1024 image, peak VRAM 14.6 GB.

    Files you need:

    - z_image_turbo_bf16.safetensors → models/diffusion_models

    - qwen_3_4b_fp8_mixed.safetensors → models/text_encoders

    - ae.safetensors → models/vae

    The note inside the workflow has a download link for every file.

    Does it fit your card? https://vramready.com/models/z-image-turbo/

    All tested workflows: https://vramready.com/workflows/

    Description

    Tested on RTX 5060 Ti 16 GB, 32 GB RAM, ComfyUI 0.38.1. 11.0 s per 1024×1024 image, peak VRAM 14.6 GB.

    Workflows
    ZImageTurbo

    Details

    Downloads
    35
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/14/2026
    Updated
    10/24/2026
    Deleted
    -

    Files

    zImageTurbo16BitTestedOn16GB_v10.zip

    Mirrors