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HunyuanImage 2.1 GGUF Text-to-Image & Image-to-Image Workflow

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hunyuanimage2.1_Text_to_image&image_to_image_example.json

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Workflows
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Published

Jul 12, 2026

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HunyuanImage 2.1 GGUF Text-to-Image & Image-to-Image Workflow

This workflow is designed for HunyuanImage 2.1 GGUF running in ComfyUI.

It supports both Text-to-Image (T2I) and Image-to-Image (I2I) generation using a simple workflow switch, making it easy to create artwork from text prompts or transform existing images into completely new styles.

Features

  • Supports HunyuanImage 2.1 GGUF

  • Switch between Text-to-Image and Image-to-Image

  • Easy workflow layout

  • Optimized for ComfyUI

  • Includes positive and negative prompt setup

  • Supports cyberpunk, fantasy, anime, and other creative styles

  • Easy to customize and expand

Required Models

Please install the following models before using this workflow.

GGUF Model

  • HunyuanImage 2.1 GGUF UNet

GGUF Dual CLIP

  • Qwen2.5-VL-7B-Instruct-Vision GGUF

  • byt5_small GGUF

GGUF VAE

  • HunyuanImage VAE GGUF

Notes

This workflow requires the necessary GGUF models to be installed in the correct ComfyUI model folders.

Please make sure your GGUF model paths are configured properly before loading the workflow.

Example

The example images demonstrate how a real-world photograph can be transformed into completely different artistic styles, including fantasy and cyberpunk scenes.

Enjoy creating your own worlds!

For installation, GGUF model selection, VRAM benchmarks, and workflow demonstrations, please visit my YouTube channel.

📺 YouTube Tutorials & Benchmarks

1. HunyuanImage 2.1 Installation & Beginner Guide

  • Installation

  • Standard Version

  • GGUF Introduction

2. HunyuanImage 2.1 GGUF VRAM Benchmark

  • GGUF Models

  • VRAM Requirements

  • Performance Testing

3. HunyuanImage 2.1 GGUF RTX 5080 / RTX 5090 Test

  • Best GGUF Models

  • RTX 5080

  • RTX 5090

  • Performance Comparison

4. HunyuanImage 2.1 Complete Summary

  • Performance Comparison

  • GGUF Overview

  • Recommended Settings

More tutorials and benchmarks will be added in the future.

Thank you for your support!