qwenImage.hero.title
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qwenImage.technology.title
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qwenImage.comparison.title
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qwenImage.comparison.metrics.text_rendering.title
95%qwenImage.comparison.metrics.text_rendering.description
qwenImage.comparison.metrics.image_quality.title
88%qwenImage.comparison.metrics.image_quality.description
qwenImage.comparison.metrics.editing.title
85%qwenImage.comparison.metrics.editing.description
qwenImage.comparison.metrics.opensource.title
100%qwenImage.comparison.metrics.opensource.description
Key Advantages
qwenImage.features.title
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qwenImage.features.cards.0.title
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Real Generation Results Showcase
From portraits to animals, from traditional art to modern creativity, Qwen Image demonstrates exceptional diverse generation capabilities

Parameters
20 Billion Parameters
Open Source Ranking
Top Text Rendering Model
Deployment Support
GitHub + Diffusers
License
Apache 2.0 Commercial
qwenImage.usecases.title
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qwenImage.usecases.cases.0.title
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Real-world Application Showcase
From traditional culture to modern creativity, from Chinese ink paintings to business design, Qwen Image demonstrates exceptional practical value across various fields

Cultural Heritage
Chinese poetry, ink paintings, traditional architecture
Commercial Creative Design
Brand identity, product packaging, marketing materials
Multilingual Content
International design, cross-cultural communication, educational content
qwenImage.developer.title
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qwenImage.developer.features.0.title
qwenImage.developer.features.0.description
qwenImage.developer.features.1.title
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GitHub Statistics
GitHub Stars
Downloads
Contributors
Quick Start
# Install dependencies
pip install diffusers torch transformers
# Load Qwen Image model
from diffusers import DiffusionPipeline
import torch
# Initialize pipeline
pipe = DiffusionPipeline.from_pretrained(
"Qwen/Qwen-Image",
torch_dtype=torch.bfloat16
)
pipe = pipe.to("cuda")
# Generate image with perfect text rendering
prompt = "A coffee shop sign with '欢迎光临 Welcome' in beautiful calligraphy"
image = pipe(prompt).images[0]
image.save("qwen_generated.png")
Ecosystem Integration
Character Consistency & Creative Variation Showcase
Demonstrating Qwen Image's ability to maintain character consistency while achieving creative variations, from Pikachu series to restaurant scenes, from clothing design to comic dialogues, every detail reflects the model's precise control capabilities.

qwenImage.specs.title
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qwenImage.specs.technical.title
qwenImage.specs.ecosystem.title
qwenImage.specs.hardware.title
Model Architecture
Advanced architecture based on Multimodal Diffusion Transformer (MMDiT)
Condition Encoder
Qwen2.5-VL
Generator
MMDiT Architecture
Image Decoder
Specialized VAE
Advanced Image Editing Capabilities
From fine object editing to style conversion, from color adjustment to line art generation, demonstrating professional-grade image processing capabilities

Object Editing
Precise object manipulation
Color Control
Intelligent color adjustment
Style Transfer
Multiple artistic styles
Line Art
Automatic line extraction
qwenImage.faq.title
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qwenImage.faq.contact.title
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Technical Blog
Deep dive into Qwen Image technical details and implementation
Model Repository
Download and use Qwen Image model on Hugging Face
Code Examples
View detailed code examples and best practices