🎨 Qwen-Image Premium Quality Workflow - Maximum Quality Generation
🎯 What This Workflow Does
This advanced ComfyUI workflow combines Qwen-Image generation with Qwen Image Edit capabilities in a streamlined two-stage pipeline. Designed for creators who prioritize maximum quality output over speed - perfect for professional work where every detail matters.
🏆 Key Features:
🎨 Dual-Pipeline Architecture:
Stage 1: High-quality base image generation (20 steps)
Stage 2: AI-powered precision editing and refinement
Built-in comparison system to see before/after results
💎 Quality-First Approach:
Full-resolution Qwen-Image processing without shortcuts
AuraFlow sampling with optimized shift (3.1) for superior results
Extended step count for maximum detail and coherence
Professional-grade output prioritizing quality over speed
📐 Cinema-Ready Output:
Native 9:16/16:9 aspect ratio (720x1280) (1280x720)
Perfect for cinematic compositions
High-quality VAE decoding
Professional output formatting
🔧 Advanced Editing Capabilities:
TextEncodeQwenImageEdit integration
Seamless transition from generation to editing
Intelligent image resizing and processing
Side-by-side comparison viewer
🎯 Perfect For:
Professional Artists requiring gallery-quality outputs
Digital Illustrators needing maximum detail and coherence
Content Creators prioritizing quality over iteration speed
Serious AI Artists wanting studio-grade results
📋 Requirements:
Qwen-Image GGUF model (Q8_0 recommended)
Qwen Image Edit model
Qwen 2.5 VL CLIP encoder
ComfyUI with GGUF support
Adequate processing time for quality rendering
🎨 Performance:
Generation Time: ~20 steps (Quality optimized)
Output Quality: Professional gallery-grade
Memory Efficient: GGUF quantization
Workflow Depth: Comprehensive two-stage refinement
💡 Usage Tips:
For Best Results: Use detailed, descriptive prompts for maximum quality
Editing Power: Second stage provides precise stylistic control
Compare Results: Built-in comparer shows refinement improvements
Time Investment: Allow adequate processing time for optimal quality
This workflow represents a quality-focused approach to AI image generation.
Professional-grade results suitable for commercial use, fine art, and high-end creative projects.
Description
More Realism + Video Generation (Wan 2.2)
FAQ
Comments (4)
This ia a GGUF QWEN image workflow feeding into a QWEN Image Edit workflow. With save and preview image nodes for each. With a bypassed load image and stitch node under 100 pinned nodes. A bit hard to sort through the complicated connections. I think it would have been easier with more direct paths. Not sure if I missed something?
You're right to say it's complicated — unfortunately, I'm a bit afraid to touch it since it's working, and I don’t want to risk breaking the workflow.
@salvoanna21 I think what he means is you are using safetensor models where a GGUF model is better (smaller models less diskspace) But you need a separate GGUF loader and Dual clip loader in your workflow AND those models need to be saved under models\Diffuser models not \Checkpoints. It's all a bit confusing I know. Also a tip, the resources like your loras and sefetensor models are not on CivitAI, so give some links to the sources so people don't have to look for them
I have tried the workflow, it's very slow especially after the second qwen kasmpler it seems to hang with the vae decoding (runs out of memory and retries with very slow tiled decoding), but the rhere seems to be a smaller version of the image placed directly in the center of the images like a fuzzy rectangle, ever seen that happen before?