Qwen-Image | HD Multi-Text Poster Generator
This ComfyUI workflow leverages Qwen-Image, a 20B parameter MMDiT model that masters complex multilingual text rendering and intelligent image editing. A new era of text generation in images begins here - generate magazine covers, brand posters, and marketing visuals where text isn't just overlaid but architecturally integrated into the design. From sleek English headlines to intricate Chinese characters, every letter becomes part of the visual language.ComfyUI Qwen Image Workflow

- Fully operational workflows
- No missing nodes or models
- No manual setups required
- Features stunning visuals
ComfyUI Qwen Image Examples







ComfyUI Qwen Image Description
What is the Qwen Image ComfyUI Workflow?
The Qwen Image ComfyUI workflow brings cutting-edge text-to-image generation to your creative toolkit, powered by a revolutionary 20B parameter MMDiT foundation model. Think of it as your personal design studio that doesn't just add text to images - it architecturally weaves typography into the visual DNA of every creation. Whether you're crafting magazine covers, brand posters, or marketing materials, Qwen Image transforms your text prompts into professionally designed visuals where every character feels like it belongs.
This Qwen Image workflow excels at what traditional AI image generators struggle with most: high-fidelity text rendering that maintains perfect clarity, layout coherence, and contextual harmony. From complex Chinese characters to elaborate English typography, Qwen Image preserves every typographic detail while seamlessly integrating text elements into the broader visual composition.
Key Features and Benefits of Qwen Image
Professional Text Integration: Qwen Image delivers state-of-the-art text rendering where typography becomes an integral part of the design, maintaining perfect clarity and contextual harmony across diverse visual styles.
Multilingual Excellence: Whether working with English headlines or Chinese characters, Qwen Image preserves typographic precision and cultural authenticity, ideal for global brand campaigns and multilingual content.
Versatile Design Applications: From photorealistic product shots to stylized illustrations, Qwen Image adapts fluidly across artistic styles while maintaining consistent text quality for any creative project.
Advanced Creative Control: The Qwen Image workflow includes sophisticated sampling controls and optimization features that let you fine-tune generation quality, balancing speed with visual fidelity.
How to Use Qwen Image in ComfyUI
Setting Up Your Qwen Image Generation
- Configure image dimensions: Use the EmptySD3LatentImage node to set your output size:
- Standard: 1328x1328 pixels for square formats
- Adjust width and height based on your Qwen Image project needs
- Keep batch_size at 1 for focused generation
- Craft your text prompt: In the CLIP Text Encode (Positive Prompt) node:
- Write detailed descriptions that include specific text elements you want rendered
- Qwen Image excels with prompts that specify typography styles, layouts, and text placement
- Include contextual details about the visual environment surrounding your text
Essential Qwen Image Workflow Steps
- Optimize model performance: The ModelSamplingAuraFlow node fine-tunes the Qwen Image generation:
- Shift value: Set to 3.1 (increase for sharper details, decrease for softer results)
- This parameter significantly affects the quality balance in your Qwen Image output
- Configure sampling settings: In the KSampler node for optimal Qwen Image results:
- Steps: 20 (official recommendation is 50, but 20 provides excellent quality-speed balance)
- CFG: 2.5 (set to 1.0 for speed boost with slightly reduced consistency)
- Sampler: euler (recommended for Qwen Image stability)
- Scheduler: simple (optimal for this Qwen Image workflow)
Advanced Qwen Image Optimization
- Quality vs Speed Balance: For faster Qwen Image generation, reduce steps to 10-15 and set CFG to 1.0, especially when using alternative samplers like res_multistep
- Enhanced Detail Control: Increase the shift value in ModelSamplingAuraFlow if your Qwen Image outputs appear blurry or lack definition
- Memory Management: This Qwen Image workflow requires approximately 86% VRAM on RTX4090 24GB, with generation times of ~94 seconds for first run, ~71 seconds for subsequent generations
Acknowledgement
This Qwen Image ComfyUI workflow integrates the groundbreaking 20B parameter MMDiT model developed by the Qwen team at Alibaba Cloud. Special recognition goes to the Qwen research team for pioneering advanced text rendering capabilities in AI image generation, and to the ComfyUI community for enabling seamless Qwen Image integration. The Qwen Image model represents a significant leap forward in text-aware image synthesis, bringing professional-grade typography generation to accessible workflows.
More Resources About Qwen Image
Explore comprehensive resources for mastering Qwen Image:
- Official Model Repository – Access Qwen Image model weights and technical documentation.
- ComfyUI Integration Guide – Complete tutorial for Qwen Image workflow setup and optimization.
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