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Z-Image Turbo GGUF: LoRA One-Click + Upscaler

ZIT - FP8 AIO & GGUF One-Click + Upscaler

TaskMultiCapabilitiesText to image · UpscalingFamilyZ-ImageVersionRelease 2742912 — ZIT GGUF - LoRA One-Click + Upscaler by RIo.jsonEstimated VRAMNot yet characterizedBgrade

Runtime profile

Access
External workflow
Status
Listed
Version
ZIT GGUF - LoRA One-Click + Upscaler by RIo.json
Source
Civitai
Updated
Oct 18, 2026

Source description

ZIT - FP8 AIO & GGUF One-Click + Upscaler

Fast image generation using the Z-Image-Turbo model in FP8 quantized or GGUF formats. Includes integrated LoRA loading and high-quality upscaling.

How does it work?

This workflow is designed for high performance on limited VRAM. It allows you to load models directly and generate images adding LoRAs on the fly.

If any nodes appear in red, use the ComfyUI Manager to install missing dependencies automatically.

Required Models

Depending on your hardware, download the version that best fits your VRAM and place it in the corresponding folder:

FP8 Version: Place in \ComfyUI\models\checkpoints Download: https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO/resolve/main/z-image-turbo-fp8-aio.safetensors?download=true

GGUF Version: Place in \ComfyUI\models\unet Download: https://huggingface.co/vantagewithai/Z-Image-Turbo-GGUF/tree/main

Note on Upscaling: If you don't want to upscale your image, simply bypass the ImageScaleToTotalPixels node before running the workflow.

Credits

Original workflow made by VantageWithAI and modified by RIO

What you need

Hardware and download-size estimates are not available yet.

Requirements

Models

3
  • ae.safetensors

    File unverified

    VAE · Hugging Face · Comfy-Org/z_image_turbo

  • Text encoder · Hugging Face · Comfy-Org/z_image_turbo

  • z_image_turbo-Q3_K_M.gguf

    Not resolved

    Checkpoint · Unknown

Node packs

3
  • comfyui_essentials

    Found

    Node pack · Registry

  • comfyui-gguf

    Possible

    Node pack · Registry

  • rgthree-comfy

    Found

    Node pack · Registry

AI-generated commentary

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

Purpose

  • Use this workflow to generate and save images from text prompts with the Z-Image-Turbo model in FP8 or GGUF format, optionally applying LoRAs and upscaling; it takes a text prompt and model as inputs and produces a saved image.

Flow

  • It loads the model, VAE, and text encoder, encodes the prompt, samples and decodes an image, and saves the result.

  • Power Lora Loader (rgthree) lets you add LoRAs while generating an image.

  • ImageScaleToTotalPixels provides the optional upscaling step.

Inputs and outputs

  • Inputs are a text prompt, an FP8 or GGUF model, and optional LoRAs.

  • The output is a saved image, with optional upscaling.

Setup

  • Place the FP8 model in \ComfyUI\models\checkpoints or the GGUF model in \ComfyUI\models\unet.

    Suggestion

  • If nodes appear red, use ComfyUI Manager to install what is missing.

    Suggestion

Dependencies

  • The workflow lists these model files: ae.safetensors, qwen_3_4b.safetensors, and z_image_turbo-Q3_K_M.gguf.

  • The workflow lists these node packs and versions: comfyui_essentials 1.1.0, comfyui-gguf 1.1.5, and rgthree-comfy 1.0.2512112053.

Configuration

  • Choose FP8 or GGUF according to the VRAM available on your hardware.

    Suggestion

  • To skip upscaling, bypass ImageScaleToTotalPixels before running the workflow.

    Suggestion

Cautions

  • The listed z_image_turbo-Q3_K_M.gguf entry has no source URL; verify where to obtain it before setup.

    Suggestion · not verified

  • License information is not listed for this workflow.

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Sources

1 source
CivitaiPrimaryVersion 2742912
civitai.com/models/2439528

Verified Oct 18

Source excerpts

3 excerpts

Source context: 559 downloads · Type Workflows · Base model ZImageTurbo

Source context: 475 downloads · Type Workflows · Base model ZImageTurbo

Source context: 443 downloads · Type Workflows · Base model ZImageTurbo