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ComfyUI: Running quantized Z-Image GGUF for low VRAM

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Demo summary

The 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.

Step-by-step

  1. Drag and drop the JSON workflow file onto the ComfyUI interface
  2. Download a GGUF model file and save it to the 'models/unet' directory
  3. Download a matching quantized text encoder and save it to the 'models/text_encoders' directory
  4. Open the Manager, search for 'ComfyUI GGUF' in the Custom Nodes Manager, and install or update it
  5. Restart ComfyUI
  6. Select the downloaded GGUF model and text encoder in their respective nodes
  7. Enter your positive prompt and set the image width and height
  8. Click Run to generate the image

Options

  • Choose between various quantization levels (e.g., Q4 medium) based on file size and VRAM
  • Generate high-resolution images up to 6 megapixels

Watch out for

  • GGUF nodes will appear red if the custom node extension is not installed or updated
  • The quantized text encoder should match the quantization level of the model (e.g., Q4 medium for both)

Tips

  • Update the GGUF custom node to the latest version even if you already have it installed
  • Z-Image typically does not require a negative prompt
  • Keep resolution at 1024x1024 for faster generation during testing

Highlights

“Very impressive considering this is a super compressed and quantized version. So in a nutshell, that is how you can use Z image turbo even if you have like 4 GB of VRAM.”

All demos from “The best free AI image generator is here!”

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  3. 26:113:39Local image generation using Z-Image TurboThe video shows the process of generating an image locally in ComfyUI, explaining parameters like shift value, step count, and CFG for the Z-Image model.ComfyUIAI Image Generator
  4. 30:512:19Running quantized Z-Image GGUF for low VRAMCurrentThe 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
  5. 33:282:46Image-to-image transformation with Z-ImageThe user demonstrates how to modify a ComfyUI workflow to perform image-to-image tasks, converting a 3D animation into a realistic photo using Z-Image Turbo.ComfyUIImage to Image
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