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Setting up Z-Image Turbo in ComfyUI

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Demo summary

A walkthrough of loading the Z-Image Turbo JSON workflow into ComfyUI, updating the manager, and selecting the required text encoder and VAE models.

Step-by-step

  1. Open ComfyUI and click on Manager.
  2. Click Update ComfyUI to ensure the latest version is installed.
  3. Restart ComfyUI and confirm the action.
  4. Drag and drop the downloaded JSON workflow file onto the interface.
  5. Download the Quen 34B text encoder, the Z-image diffusion model, and the AE.safetensors VAE file.
  6. Place the downloaded files into their respective folders: models/text_encoders, models/diffusion_models, and models/vae.
  7. Press R in ComfyUI to refresh the models list.
  8. Select the downloaded models from the dropdown menus in the workflow nodes.

Watch out for

  • You must have the latest version of ComfyUI to support Z-image.
  • The Quen 34B file is approximately 7.5 GB and the Z-image model is 11.4 GB.

Tips

  • The 11.4 GB diffusion model can fit within 12 GB of VRAM or lower using offloading.

Highlights

“everything is pre-built for you already, and it's actually very simple”

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  2. 24:211:50Setting up Z-Image Turbo in ComfyUICurrentA walkthrough of loading the Z-Image Turbo JSON workflow into ComfyUI, updating the manager, and selecting the required text encoder and VAE models.ComfyUIAI Image Generator
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  4. 30:512:19Running quantized Z-Image GGUF for low VRAMThe creator demonstrates how to use a compressed GGUF version of Z-Image in ComfyUI to generate images on hardware with as little as 4GB of VRAM.ComfyUIAI Image Generator
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