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Z-Image SD variety prefiner — v1.0

You may have noticed that the Z-Image-Turbo model doesn't produce a lot of variety when varying seeds. This native workflow is an attempt to generate more variety by starting encoding with an SD 1.5 model. Z-Image...

TaskMultiCapabilitiesImage to image · UpscalingFamilyZ-ImageEstimated VRAMNot yet characterizedBgrade

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Access
External workflow
Status
Listed
Source
Civitai
Updated
Oct 2, 2026

Source description

You may have noticed that the Z-Image-Turbo model doesn't produce a lot of variety when varying seeds. This native workflow is an attempt to generate more variety by starting encoding with an SD 1.5 model. Z-Image still does most of the work, and at the end, so I'm calling my use of SD 1.5 a "prefiner".

The prefiner adds variety to everything, but the un-described background seems most affected. While SD 1.5 generates a 512x512 image, there appears to be no problem with resizing the result to most shapes for final generation.

A few notes after 24 hours:

My favorite scheduler for Z-Image is now sgm-uniform, rather than the workflow default.

Turning up the CFG on SD 1.5 can reduce, but not remove, the patterns all over the place.

Occasionally, a relatively high step break of 2 or 3 has the effect of turning the whole image cartoony. It's a nice effect but I can't do it reliably yet.

What you need

Model files
11.8 GiB known subtotal

Remaining hardware or download-size estimates are not available yet.

Requirements

Models

9

Node packs

9
  • CheckpointLoaderSimple

    Possible

    Node pack · Unknown

  • CLIPTextEncode

    Possible

    Node pack · Unknown

  • EmptySD3LatentImage

    Not resolved

    Node pack · Unknown

  • KSamplerAdvanced

    Possible

    Node pack · Unknown

  • Node pack · Unknown

  • PrimitiveInt

    Not resolved

    Node pack · Unknown

  • PrimitiveStringMultiline

    Not resolved

    Node pack · Unknown

  • SaveImage

    Possible

    Node pack · Unknown

  • UNETLoader

    Possible

    Node pack · Unknown

AI-generated commentary

AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.

Purpose

  • Z-Image SD variety prefiner is for trying to generate more varied Z-Image-Turbo images: it starts encoding with SD 1.5, uses Z-Image-Turbo for most of the work and the final stage, takes a seed you can vary, and outputs an image.

Flow

  • SD 1.5 starts the encoding, while Z-Image-Turbo does most of the work and handles the final stage.

  • The description says the prefiner adds variety across the image, with the undescribed background seeming most affected.

Inputs and outputs

  • The SD 1.5 stage generates a 512×512 image, and the author notes that it can be resized to most shapes for final generation.

  • A SaveImage step is listed in the workflow.

Setup

  • Published by Ken G6 on Civitai at https://civitai.com/models/2172045.

Dependencies

  • The listed model files are ae.safetensors, hddclip/qwen_3_4b.safetensors, sd15/realisticVisionV51_v51VAE.safetensors, and z_image_turbo_bf16.safetensors.

  • Listed node types include CheckpointLoaderSimple, CLIPLoader, CLIPTextEncode, EmptySD3LatentImage, KSamplerAdvanced, LatentUpscale, and ModelSamplingAuraFlow.

  • Other listed node types are PrimitiveInt, PrimitiveStringMultiline, SaveImage, UNETLoader, VAEDecode, VAEEncode, and VAELoader.

Configuration

  • The author lists sgm-uniform as a preferred Z-Image scheduler instead of the workflow default.

  • Increasing SD 1.5 CFG can reduce patterns across the image, but not eliminate them.

  • A relatively high step break of 2 or 3 can sometimes produce a cartoony look, but the described effect is not reliably repeatable.

Cautions

  • No license is listed for this workflow; review the Civitai page before reuse.

    Suggestion · not verified

  • Before using it, confirm that your setup has the listed model files and node types.

    Suggestion · not verified

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Sources

1 source
CivitaiPrimary
civitai.com/models/2172045

Verified Jul 19

Source excerpts

1 excerpt

Source context: 143 downloads · Type Workflows · Base model ZImageTurbo