Question

Qwen Image Edit Full Tutorial: 26 Different Demo Cases, Prompts & Images, Pwns FLUX Kontext Dev

by Furkan Gözükara - PhD Computer Engineer, SECourses

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Tutorial Link

https://youtu.be/gLCMhbsICEQ

Extra Info

I tested newly arrived Qwen-Image-Edit-Lightning-8steps-V1.0 (arrived after tutorial recorded) and definitely our existing preset which uses Qwen-Image-Lightning-8steps-V1.1 is better than it, so this tutorial and presets are still 100% best quality and up-to-date.

Info

Qwen Image Edit just has been published and since then I have been experimenting to prepare you this amazing tutorial. I have literally shown 26 unique cases and provided demo images and prompts. After watching this tutorial your image editing skills will move to next level i promise you that. Also this tutorial will give you a lot of ideas.

Content

• Prompts, Demo images, Models downloader, SwarmUI installer and Presets : https://www.patreon.com/posts/114517862
• ComfyUI backend installer : https://www.patreon.com/posts/105023709
• Image and Video comparison sliders : https://www.patreon.com/posts/133935178
• How to install ComfyUI and SwarmUI main tutorial : https://youtu.be/fTzlQ0tjxj0
• Massed Compute SwarmUI & ComfyUI tutorial : https://youtu.be/8cMIwS9qo4M
• Massed Compute is recommend cloud service
• RunPod SwarmUI & ComfyUI tutorial : https://youtu.be/R02kPf9Y3_w
• SECourses Discord (11k+ members) : https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
• SECourses Reddit (6k+ members) : https://www.reddit.com/r/SECourses/

Video Chapters

• 0:00 Introduction to the Qwen Image Edit Model & Tutorial Overview
• 0:32 Demo 1: Next-Level AI Photo Restoration
• 1:04 Demo 2: Changing Text on Existing Images
• 1:22 Demo 3: Image Stylization (Pixel Art, Cartoon, Pixar, 3D Render)
• 2:21 Demo 4: Changing Object Materials (Wood to Marble)
• 2:41 Demo 5: Generating High-Quality Logos from a Blank Canvas
• 3:39 Demo 6: Generating Images with High-Quality Text
• 3:57 Demo 7: Adding Realistic Objects to a Scene (Lion)
• 4:21 Demo 8: Removing Objects from an Image
• 4:46 Demo 9: Replacing People with Characters (Iron Man)
• 5:25 Demo 10: Adding Accessories to People (Hat)
• 5:44 Demo 11: Extracting Clothing from an Image
• 6:03 Demo 12: Rotating Subjects to Different Angles
• 6:37 Demo 13: Anime & Ghibli Stylization
• 7:11 Demo 14: Background Removal & Replacement
• 7:30 Demo 15: Image Expansion (Outpainting)
• 7:47 Demo 16 (Limitation): Modifying Facial Expressions
• 8:16 Demo 18: Changing Clothing (T-Shirt to Suit)
• 8:34 Demo 19: Changing the Season (Summer to Winter)
• 9:08 Demo 21: Keeping Text While Changing Background & Style
• 10:01 Demo 22: Advanced Text & Background Styling for Thumbnails
• 10:42 Demo 24: Colorizing & Shading Rough Sketches
• 11:07 Demo 25: Rendering Professional & Technical Sketches
• 11:37 Demo 26: Converting Real Photos into Professional Sketches
• 12:04 Installation Guide: Required Downloads & Initial Setup
• 12:50 Step 1: Updating ComfyUI & SwarmUI
• 13:28 Step 2: Importing the Latest Presets (Clean Import Method)
• 14:21 Step 3: Downloading the Qwen Image Edit Models
• 14:44 How to Select Low VRAM Models (GGUF Quantizations)
• 15:46 Troubleshooting: How to Fix Black Image Outputs
• 16:52 How to Use: Applying the Preset & Verifying Model Architecture
• 18:20 Workflow: Using a Prompt Image (No Init Image)
• 19:22 CRITICAL STEP: Matching Output Resolution to Input Image
• 20:00 Tutorial: How to Perfectly Resize Images with Paint.net
• 21:39 Running Your First Generation & Checking Progress
• 22:54 How to Upscale Your Generations
• 23:45 When to Use (and Not Use) the Upscaler
• 26:03 Generating Images from a Blank Canvas (No Input Image)
• 28:36 Comparing Upscaled vs. Original Generations
• 30:00 For Best Realism: Use the SUPIR Upscaler
• 31:11 Coming Soon: Qwen Image Edit LoRA Training Application
• 32:14 Final Resources & Where to Get Help

20 Unique Cases Demo Images Comparisons

More Info From Official Source

Introduction

We are excited to introduce Qwen-Image-Edit, the image editing version of Qwen-Image. Built upon our 20B Qwen-Image model, Qwen-Image-Edit successfully extends Qwen-Image’s unique text rendering capabilities to image editing tasks, enabling precise text editing. Furthermore, Qwen-Image-Edit simultaneously feeds the input image into Qwen2.5-VL (for visual semantic control) and the VAE Encoder (for visual appearance control), achieving capabilities in both semantic and appearance editing. To experience the latest model, visit Qwen Chat and select the "Image Editing" feature.

Key Features:

Semantic and Appearance Editing: Qwen-Image-Edit supports both low-level visual appearance editing (such as adding, removing, or modifying elements, requiring all other regions of the image to remain completely unchanged) and high-level visual semantic editing (such as IP creation, object rotation, and style transfer, allowing overall pixel changes while maintaining semantic consistency).

Precise Text Editing: Qwen-Image-Edit supports bilingual (Chinese and English) text editing, allowing direct addition, deletion, and modification of text in images while preserving the original font, size, and style.

Strong Benchmark Performance: Evaluations on multiple public benchmarks demonstrate that Qwen-Image-Edit achieves state-of-the-art (SOTA) performance in image editing tasks, establishing it as a powerful foundation model for image editing.

License Agreement

Qwen-Image is licensed under Apache 2.0.