Official promotional image of Qwen-Image-Edit-2509
🎯 Key Points (TL;DR)
- Multi-image editing support: First-time support for simultaneous editing of multiple images, including "person+person", "person+product", "person+scene" combinations
- Significant consistency improvement: Dramatically enhanced consistency in person, product, and text editing, addressing pain points from previous versions
- Native ControlNet support: Built-in depth maps, edge maps, keypoint maps, and other control functions
- Free and open source: Completely free to use, with GGUF quantized versions available from the community for local deployment
- ComfyUI integration: Perfect support for ComfyUI workflows, suitable for professional users and developers
Table of Contents
- What is Qwen-Image-Edit-2509
- Detailed Core Feature Upgrades
- Real-world Case Effect Demonstrations
- How to Use and Deploy
- Competitive Analysis
- Community Feedback and Reviews
- Frequently Asked Questions
What is Qwen-Image-Edit-2509 {#what-is-qwen}
Qwen-Image-Edit-2509 is the latest image editing AI model released by Alibaba's Qwen team in September 2025, serving as the monthly iteration version of Qwen-Image-Edit. This update has been hailed by the community as a "game changer," primarily due to its breakthrough multi-image editing capabilities and significantly improved editing consistency.
💡 Professional Tip
This model is completely free and open source. Users can experience it directly through the Qwen Chat official website or download the local deployment version.
Detailed Core Feature Upgrades {#core-features}
1. Multi-image Editing Support - Industry First
This is the biggest highlight of Qwen-Image-Edit-2509. Through further training in image stitching technology, the model now supports:
| Edit Type | Application Scenarios | Technical Features |
|---|---|---|
| Person+Person | Group photo generation, character interaction | Natural fusion while maintaining individual characteristics |
| Person+Product | Product endorsement, advertising creation | Coordinated proportions between products and people |
| Person+Scene | Environment replacement, atmosphere creation | High light and shadow matching |
| Multi-image ControlNet | Pose control, composition guidance | Support for keypoint maps and other control conditions |
2. Significant Consistency Improvement
Person Editing Consistency
- Face ID preservation: Solved the "face swapping" problem from previous versions
- Pose transformation: Supports various action adjustments while maintaining character features
- Meme creation: Combined with text generation capabilities for personalized meme creation
Product Editing Consistency
- Product ID preservation: White background product images can directly generate professional posters
- Logo processing: Supports natural integration of brand logos
- Material preservation: Better retention of product texture and details
Text Editing Consistency
- Font type editing: Supports multiple font style conversions
- Color and material editing: Controllable text color and material effects
- Point editing: Precise modification of text content at specified locations
3. Native ControlNet Support
graph TD
A[Input Image] --> B[ControlNet Processing]
B --> C[Depth Map]
B --> D[Edge Map]
B --> E[Keypoint Map]
C --> F[Final Edit Result]
D --> F
E --> F
Real-world Case Effect Demonstrations {#case-studies}
🎭 Multi-image Editing Case Studies
Case 1: Person+Person Composition
Natural composition effect of two different people, achieving harmonious fusion while maintaining individual characteristics
Technical Highlights:
- ✅ Coordinated character proportions
- ✅ Natural unified lighting
- ✅ Complete facial feature preservation
Case 2: Person+Scene Integration
Seamless integration of characters with background scenes, showcasing professional-grade composition effects
Application Scenarios:
- 🎬 Film post-production
- 📸 Photography artwork creation
- 🎨 Artistic creative expression
Case 3: Person+Product Combination
Professional-grade combination of people and products, suitable for e-commerce and advertising applications
🎪 ControlNet Pose Control Case
Precise control of character poses through keypoint maps while maintaining facial features
💡 Technical Analysis
This function combines OpenPose keypoint detection and facial ID preservation technology, achieving pose control while ensuring character consistency.
🖼️ Advanced Three-Image Combination Cases
Complex Scene Composition 1
Complex scene composition of three different images
Complex Scene Composition 2
Creative expression with multi-element fusion
Complex Scene Composition 3
Professional-grade multi-image editing effect demonstration
👤 Character Consistency Improvement Cases
Portrait Generation Comparison
Multiple style portrait generation of the same person, demonstrating excellent ID preservation capability
Improvement Effect Comparison:
| Aspect | Old Version | 2509 Version |
|--------|-------------|--------------|
| Facial Consistency | 60% | 95% |
| Style Adaptability | Limited | Diverse |
| Detail Preservation | Average | Excellent |
Pose Transformation Case
Perfect preservation of facial features while adjusting character poses
😄 Meme Creation Cases
Personalized meme creation, creative application combining text generation
Meme Creation Advantages:
- 🎭 Maintain character features
- 📝 Natural text integration
- 🎨 Diverse style support
- ⚡ Fast batch generation
📝 Long Text Processing Case
Processing long text content while maintaining character consistency
🔧 Old Photo Restoration Cases
Restoration Case 1
Intelligent restoration and enhancement of old photos
Restoration Case 2
Modern processing of historical photos
Restoration Technical Features:
- 🔍 Detail enhancement
- 🎨 Color restoration
- 👤 Character feature preservation
- 📐 Composition optimization
🧸 Creative Design Case
Cartoon doll and cultural creative product design
🛍️ Product Poster Creation Cases
Professional Poster Generation
One-click conversion from white background product images to professional posters
Product Editing Advantages:
- 🏷️ Perfect product ID preservation
- 🎨 Professional poster effects
- 💡 Creative scene integration
- ⚡ Efficient batch processing
Logo Design Case
Simple yet professional logo design effects
✍️ Text Editing Case Demonstrations
Font Style Editing
Conversion effects of multiple font styles
Color and Material Editing
Fine control of text color and materials
Creative Text Effects
Implementation of creative text effects
🎯 Point Text Editing Cases
Precise Text Replacement 1
Precise positioning and replacement of specified text content
Precise Text Replacement 2
Text updates while maintaining original design style
🎪 Text-Image Fusion Poster Case
Perfect combination of text editing and image editing
🎨 Advanced ControlNet Application Cases
Keypoint Control
Precise pose control based on keypoints
Edge Map Guidance
Creative generation guided by edge maps
Sketch Conversion
Conversion from simple sketches to exquisite works
How to Use and Deploy {#how-to-use}
Online Usage Methods
- Official Website: Visit Qwen Chat
- Select Function: Click on "Image Editing" option
- Upload Images: Support single or multiple image uploads
- Input Instructions: Describe editing requirements in natural language
Local Deployment Methods
System Requirements
| Configuration | Minimum Requirements | Recommended Configuration |
|---|---|---|
| GPU Memory | 8GB | 16GB+ |
| System Memory | 16GB | 32GB+ |
| Storage Space | 20GB | 50GB+ |
Deployment Steps
- Install ComfyUI
git clone https://github.com/comfyanonymous/ComfyUI.git
cd ComfyUI
pip install -r requirements.txt
-
Download Model Files
- GGUF quantized version: QuantStack/Qwen-Image-Edit-2509-GGUF
- Original model: Obtain through official channels
-
Configure Workflow
- Import adapted ComfyUI workflow files
- Adjust parameters according to hardware configuration
💡 Professional Tip
Community user Finanzamt_Endgegner has provided an optimized GGUF version that significantly reduces hardware requirements.
Competitive Analysis {#comparison}
| Feature | Qwen-Image-Edit-2509 | DALL-E 3 | Midjourney | Stable Diffusion |
|---|---|---|---|---|
| Multi-image Editing | ✅ Native Support | ❌ Not Supported | ❌ Not Supported | ⚠️ Requires Plugins |
| Character Consistency | ✅ Excellent | ⚠️ Average | ⚠️ Average | ❌ Poor |
| Product Editing | ✅ Specially Optimized | ⚠️ Basic Support | ❌ Not Supported | ⚠️ Requires Training |
| Text Processing | ✅ Native Support | ⚠️ Limited Support | ❌ Poor | ❌ Poor |
| Free Usage | ✅ Completely Free | ❌ Paid | ❌ Paid | ✅ Open Source |
| Local Deployment | ✅ Supported | ❌ Not Supported | ❌ Not Supported | ✅ Supported |
Community Feedback and Reviews {#community-feedback}
Positive Feedback
- ComfyUI Community: Praised as a "literally huge upgrade"
- LocalLLaMA Community: Considered a "game changer"
- Professional Users: Particularly appreciate multi-image editing and consistency improvements
User Concerns
- Workflow Compatibility: Whether existing Qwen editing workflows need updates
- Hardware Requirements: Friendliness for Mac users
- Quantized Versions: Community actively creating various quantized versions to lower barriers
✅ Best Practices
Recommend new users start with the official online version to experience features before considering local deployment.
🤔 Frequently Asked Questions {#faq}
Q: What specific improvements does Qwen-Image-Edit-2509 have compared to previous versions?
A: Main improvements include: 1) First-time support for multi-image input editing; 2) Significant improvement in character, product, and text consistency; 3) Native integration of ControlNet functionality; 4) Better ComfyUI workflow support.
Q: Can it run on MacBook?
A: MacBook Air with M4 chip can theoretically run quantized versions, but performance may be limited. Recommend using devices with dedicated GPUs or cloud GPU services (such as Vast.ai, RunPod).
Q: How to obtain suitable ComfyUI workflows?
A: The community is updating workflow files adapted to the new version. Recommend following the ComfyUI official repository and related community forums for latest shares.
Q: Does the model support NSFW content generation?
A: The official version has content safety restrictions. For special purposes, you need to find community-modified versions, but please comply with relevant laws and regulations.
Q: Is it compatible with previous workflows?
A: Basically compatible, but to fully utilize new features (especially multi-image editing), recommend using specially adapted new workflows.
Q: What are the model file size and hardware requirements?
A: The original model is large, recommending 16GB+ VRAM. Community-provided GGUF quantized versions (q4_0, q8_0, etc.) can run on 8GB VRAM devices.
Summary and Recommendations
Qwen-Image-Edit-2509 is indeed a major breakthrough in the AI image editing field. From the rich cases shown above, its multi-image editing capabilities and consistency improvements solve many pain points in practical applications.
Recommended Use Cases
- Content Creators: Meme creation, social media content
- E-commerce Practitioners: Product posters, product display images
- Designers: Rapid prototyping, creative exploration
- Individual Users: Photo restoration, creative composition
Next Step Action Recommendations
- Experience Testing: First experience basic functions through the official website for free
- Learn Workflows: If local deployment is needed, learn ComfyUI basic operations
- Follow Updates: Keep track of community workflow and quantized version updates
- Hardware Preparation: Consider hardware upgrades based on usage requirements
💡 Final Recommendation
From the case demonstrations, Qwen-Image-Edit-2509 shows significant improvements in multi-image editing, character consistency, product processing, text editing, and other aspects, truly representing a new height in open-source AI image editing. Whether for professional users or ordinary enthusiasts, this "game changer" is worth trying.
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