Amazing Z-Comics Workflow

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模型描述

A Z-Image workflow with predefined styles for easily generating high-quality illustrations.

  • Style Selector: Choose from fifteen customizable image styles.

  • Adult Content Inducer: Slightly modifies the style to facilitate adult content creation.

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

  • Landscape Orientation Switch: Switch to horizontal image generation.

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

  • Custom sigma values fine-tuned to my personal preference (subjectivity 100%).

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

Workflow Overview

The 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-comics_GGUF"

For "amazing-z-comics_SAFETENSORS"

Based directly on the official ComfyUI example,

License

This project is licensed under the Unlicense license.

More info:

此模型生成的图像

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