Model Information

Amazing Z-Photo Workflow - Image 1
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Description

A workflow for Z-Image-Turbo focused on high-quality photographic styles and ease of use.

  • Style Selector: Choose from fifteen customizable image styles.

  • Sampler Switch: Easily test generation with an alternative sampler.

  • Landscape Switch: Change to horizontal image generation with a single click.

  • Z-Image Enhancer: Improves image quality by performing a double pass.

  • Spicy Impact Booster: Adds a subtle spicy condiment to the prompt.

  • Preconfigured workflows for each checkpoint format (GGUF / SAFETENSORS).

  • Custom sigma values adjusted to my personal preference (100% subjective).

  • Generated images are saved in the "ZImage" folder, organized by date.

Amazing Z-Photo WorkflowThe zip contains two workflow files:

  • amazing-z-comics_GGUF: Recommended for GPUs with 12GB or less.

  • amazing-z-comics_SAFETENSORS: Based directly on the ComfyUI example.

When using ComfyUI, you may encounter debates about the best checkpoint format. From my experience, GGUF quantized models provide a better balance between size and prompt response quality compared to SafeTensors versions. However, it's worth noting that ComfyUI includes optimizations that work more efficiently with SafeTensors files, which might make them preferable for some users despite their larger size. The optimal choice depends on factors like your ComfyUI version, PyTorch setup, CUDA configuration, GPU model, and available VRAM and RAM. To help you find the best fit for your system, I've included links to various checkpoint versions below.

Required Checkpoints Files

For "amazing-z-photo_GGUF"

For "amazing-z-photo_SAFETENSORS"

License

This project is licensed under the Unlicense license.

More info:

Amazing Z-Photo Workflow

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Model Details

Type
Generic Asset
Subtype
Workflows
Created
Updated
June 7, 2026

Available Files

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