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    CyberRealistic Z-Image Turbo - ComfyUI Workflow - v2.5
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    A clean and practical CyberRealistic Z-Image Turbo workflow for ComfyUI, built for strong results without making things unnecessarily complicated. The workflow is designed to stay user-friendly while still offering useful extras such as upscale options, cleaner organization, and improved saved-image metadata.

    CyberRealistic Z-Image Turbo - ComfyUI Workflow V8

    This workflow is built for power users who want fast access to the parts they actually use: prompt editing, prompt engineering, previewing, comparing, and saving results.

    The Prompt and Save Image sections sit close together on purpose. You can add or adjust a prompt, generate, check the result, and save the final output without scrolling across the whole canvas. Everything else stays fully accessible, including detailers, tiled upscaling, SeedVR2 upscaling, compare previews, LoRA loading, and advanced settings.

    What's new in V8

    • SAM3 detailers. Face, Eye, and Hand detailing no longer rely on YOLO bbox models. Detection now runs through SAM3 with a plain text prompt, feeding MaskToSEGS and DetailerForEach. More accurate on unusual poses, crops, and stylized subjects.

    • Subgraphs. Each detailer is packed into a subgraph with every relevant setting exposed on the node face. Threshold, crop factor, drop size, guide size, denoise, feather, and wildcard are all editable without opening anything.

    • Number of characters. One integer drives how many detections each detailer expects. Faces scale with the count, eyes and hands scale with double the count. Set it to the number of people in your image and the detailers follow.

    • Additional Detail module. A separate optional module with dedicated detailers, including its own group toggle panel so you can enable only what you need.

    • DisTorch2 model loading. The UNET loads through ComfyUI-MultiGPU with a Virtual VRAM control. Set it to 0 on 16GB or more, 4 to 6 on 12GB. Adjust to your own machine.

    • NegPiP prompt encoding. Negative weights inside the positive prompt, encoded through a dedicated Z-Image NegPiP node.

    • Sage Attention and Torch settings patches for faster sampling.

    • Module toggles 1 to 6 in one panel: Face Detailer, Eye Detailer, Hand Detailer, Additional Detail, Upscaler, SeedVR2.

    Detailers and SeedVR2 are disabled by default. The upscaler is enabled. Save Image sits at the end of the chain and follows whatever modules you turn on.

    Requirements

    • A recent ComfyUI build with subgraph support and the core SAM3_Detect node

    • CyberRealistic Z-Image Turbo v8.0 (this workflow points at the int8 build, rename or repoint the loader if you use another variant)

    • Qwen3 4B text encoder and the Z-Image VAE

    • SAM3 checkpoint (sam3.1_multiplex_fp16) for the detailers

    • 4x_NickelbackFS upscale model

    • SeedVR2 DiT and VAE only if you use module 6

    Nodes / Custom Nodes Used

    Note: RES4LYF is no longer required in V8.


    Future updates and beta versions are available via the public Whop page:
    https://whop.com/cyberdelia-ai-lab/comfy-ui-workflows-zit-C80otuTsikeE8d/app/

    Description

    V2.5 is a cleaner version of the workflow.
    - Added tiled upscaler
    - Added new saver with Metadata (Civitai compatible)
    - Fixed some small bugs.

    This workflow also uses the ComfyUI Image Metadata Extension node. I forked this node and made a number of fixes and compatibility improvements, especially for Civitai. It works as a drop-in replacement for the standard Save Image node and saves generated images with clean A1111/Forge-compatible metadata embedded directly into the PNG. The output reads cleanly in Civitai, Forge, stable-diffusion-webui, and other tools that support the A1111 parameters format.

    Custom node:
    https://github.com/cyberdeliaAI/revived_comfyui_image_metadata_extension

    Future updates and beta versions are available via the public Whop page:
    https://whop.com/cyberdelia-ai-lab/comfy-ui-workflows-zit-C80otuTsikeE8d/app/

    FAQ

    Comments (9)

    perfectboobcollectorApr 22, 2026· 1 reaction
    CivitAI

    Best workflow for ZIT I have tested so far. Easy to use. Amazing quality results. A little slow for square images or ratio 3:2, but if you go ultra-wide or ultra-tall, it works fast even on slower equipment. Hope you make an img2img version of this to boost up some older creations from SDXL.

    girlswithafrosApr 23, 2026· 3 reactions
    CivitAI

    Can we plug a starting image in somewhere for a little I2I action ? Thanks !

    Cyberdelia
    Author
    Apr 24, 2026· 1 reaction

    Ah, good one. Let me work on that

    timstertimster3May 19, 2026· 1 reaction

    oh come on, it's a matter of adding image loader, connect to vae encode, connect to latent input on ksampler. basic stuff.

    timstertimster3May 19, 2026· 1 reaction

    @Cyberdelia 
    https://pastebin.com/kccVhAXv
    not very fancy but gets the job done. @girlswithafros

    girlswithafrosMay 20, 2026· 1 reaction

    @timstertimster3 Thanks !

    LerestesunirIAMay 20, 2026· 1 reaction

    Yes but is the image make a prompt from the llm? This should be an option!!

    makeb38136834Apr 28, 2026· 1 reaction
    CivitAI

    2 nodes seemingly can't be found after installing and not in node manager:

    FastFilmGrain

    FastUnsharpSharpen


    markovochka280Jun 19, 2026· 1 reaction

    For this I had to manually install the requirements from the requirements.txt file for the vrgamergirl19 node. I am using the desktop ComfyUI application (not the portable one) and did it within the terminal window from within the app. It took a fair while to install, was stuck at like 88 out of 89 for a while and I thought it wasn't going to finish but it eventually did. Hope this helps you or others.

    Workflows
    ZImageTurbo

    Details

    Downloads
    1,033
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/16/2026
    Updated
    9/21/2026
    Deleted
    -

    Files

    cyberrealisticZImage_v25.zip

    Mirrors

    HuggingFace (1 mirrors)
    CivitAI (1 mirrors)