Qwen-Image-Edit

What is Qwen-Image-Edit?

Advanced AI-powered image editing capabilities powered by qwen-image-edit technology

Revolutionary AI Model

Qwen-Image-Edit is an open-source image editing foundation model released by Alibaba's Qwen team. Built on the 20B parameter Qwen-Image generative model, qwen-image-edit extends unique text rendering capabilities to the image editing domain, achieving precise editing of Chinese and English text in images.

The model features high-level semantic editing and appearance editing capabilities, making it a comprehensive qwen-image-edit solution that significantly lowers the barriers to image content creation and modification.

Model Architecture

Architecture MMDiT

Parameters 20 Billion

License Apache 2.0

Release Date August 2025

Technical Architecture of Qwen-Image-Edit

Dual-Path Encoding

Qwen2.5-VL for semantic encoding
VAE for visual detail preservation
High-level scene understanding
Texture and color retention

Training Capabilities

Editable text generation
Advanced semantic editing
Fine-grained appearance editing
SOTA performance benchmarks

Features of Qwen-Image-Edit

Comprehensive image editing capabilities powered by advanced AI

Semantic Editing with Qwen-Image-Edit

High-level content and style modifications
Preserve core semantic identity
Character consistency in IP creation
Viewpoint and pose transformations
Style transfer (Ghibli animation style)

Appearance Editing with Qwen-Image-Edit

Precise local region editing
Element addition and removal
Background replacement
Color and attribute adjustments
Pixel-perfect preservation

Precise Text Editing with Qwen-Image-Edit

Chinese and English text editing
Preserve original font styles
Multi-line text layout support
Complex typography and calligraphy
Add, delete, and replace text

Open Source Advantages of Qwen-Image-Edit

Apache 2.0 License

Commercial use allowed

HuggingFace Integration

Easy API integration

ComfyUI Support

Visual workflow nodes

Multi-GPU Support

Accelerated inference

How to Use Qwen-Image-Edit

Get started with qwen-image-edit in minutes

Installation & Setup for Qwen-Image-Edit

Install Dependencies

pip install git+https://github.com/huggingface/diffusers

Load Qwen-Image-Edit Model

import torch
from PIL import Image
from diffusers import QwenImageEditPipeline

# Load qwen-image-edit pipeline
pipe = QwenImageEditPipeline.from_pretrained("Qwen/Qwen-Image-Edit")
pipe = pipe.to(torch.bfloat16).to("cuda")

Edit Images with Qwen-Image-Edit

# Prepare input
input_image = Image.open("input.jpg").convert("RGB")
prompt = "Change the white rabbit to purple and add sparkle effects."

# Execute qwen-image-edit
with torch.inference_mode():
    result = pipe(image=input_image, prompt=prompt, 
                  num_inference_steps=50, true_cfg_scale=4.0)
edited_image = result.images[0]
edited_image.save("output.jpg")

Local Deployment

Download qwen-image-edit model
Gradio demo interface
Multi-GPU support
Queue management

Online Experience

Qwen Chat Interface
HuggingFace Spaces
Zero setup required
Interactive web interface

API Integration

Alibaba Cloud ModelScope
RESTful API endpoints
Batch processing support
Commercial deployment

Qwen-Image-Edit Comparison

Technical specifications and performance comparisons

Hardware Requirements for Qwen-Image-Edit

Usage Scenario	VRAM Required	System RAM	Recommended GPU
Basic Running	8 GB	64 GB	NVIDIA RTX 4070+
Smooth Experience	12 GB+	64 GB+	NVIDIA RTX 4080+
Professional Use	24 GB+	128 GB+	NVIDIA RTX 4090/5090

Feature Comparison: Qwen-Image-Edit vs Competitors

Feature	Qwen-Image-Edit	DALL-E 3	Midjourney	Stable Diffusion
Text Editing	Excellent	Limited	No	Basic
Semantic Editing	Advanced	Moderate	Moderate	Good
Open Source	Apache 2.0	Proprietary	Proprietary	Open
Commercial Use	Free	Paid	Paid	Free
Model Size	20B params	Unknown	Unknown	~1-7B params

Supported Formats & Specifications for Qwen-Image-Edit

Input Specifications

Formats JPG, PNG, WebP

Resolution Range 512px - 4096px

Max File Size 10 MB

Color Space RGB

Output Capabilities

Output Formats JPG, PNG

Quality High Definition

Batch Processing API Support

Inference Speed ~50 steps

Frequently Asked Questions about Qwen-Image-Edit

Everything you need to know about qwen-image-edit

Try Qwen-Image-Edit Live Demo