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martin-rizzo-ComfyUI-ZImage…/workflows
Martin Rizzo 95073cbedf docs: Improve formatting of "/workflows/README.md" for readability
This commit enhances the formatting of the `README.md` file located in the "/workflows" directory. The changes ensure that the document is easily readable whether viewed as plain text or formatted Markdown, catering to users who might access it through a .zip package on CivitAI.
2026-01-20 17:56:42 -03:00
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Z-Image Power Nodes Example Workflows

Requirements

To use these workflows, you need to have "Z-Image Power Nodes" installed in ComfyUI.
It can be installed via the ComfyUI Manager or downloaded from its respective repository.

  • Open ComfyUI and click on the "Manager" button to launch the "ComfyUI Manager Menu".
  • Within the ComfyUI Manager, locate and click on the "Custom Nodes Manager" button.
  • In the search bar, type "Z-Image Power Nodes".
  • Select the option from the search results and click the "Install" button.
  • Restart ComfyUI to ensure the changes take effect.

Manual Installation

For manual installation, follow the instructions provided in the GitHub repository of the project:

GGUF Format

GGUF checkpoints tend to run slightly slower in ComfyUI. However, if you are building a complex workflow that involves other models or using heavy LLMs with ollama, GGUF files can help prevent system freezes and OOM errors during generation, especially when VRAM is limited. For simple image generation workflows, a safetensors file (though heavier) might be preferable. When working with GGUF in Z-Image, from my experience, using the Q5_K_S quantization typically offers the best balance between file size and prompt response.

Important

ComfyUI does not natively support GGUF format, so you need to have installed https://github.com/city96/ComfyUI-GGUF

  • "z_image_turbo-Q5_K_S.gguf" [5.19 GB] Download
    Local Directory: ComfyUI/models/diffusion_models/

  • "Qwen3-4B.i1-Q5_K_S.gguf" [2.82 GB] Download
    Local Directory: ComfyUI/models/text_encoders/

  • "ae.safetensors" [335 MB] Download
    Local Directory: ComfyUI/models/vae/

Safetensors Format

Safetensors files are generally larger, but ComfyUI includes several built-in optimizations to speed up generation even with limited VRAM. It's always a good idea to test the original safetensors checkpoints on your system to see how they perform. However, using safetensors in fp8 format is strongly discouraged as it can significantly reduce quality. If you have an RTX 50 series GPU based on Blackwell architecture, NVFP4 quantized safetensors could be a better choice.

  • "z_image_turbo_bf16.safetensors" [12.3 GB] Download
    Local Directory: ComfyUI/models/diffusion_models/

  • "qwen_3_4b.safetensors" [8.04 GB] Download
    Local Directory: ComfyUI/models/text_encoders/

  • "ae.safetensors" [335 MB] Download
    Local Directory: ComfyUI/models/vae/

License

Copyright (c) 2026 Martin Rizzo
This project is licensed under the MIT license.
See the "LICENSE" file for details.

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