Qwen-Image-Edit
About Qwen-Image-Edit
Qwen-Image-Edit is the image editing version of Qwen-Image, released by Alibaba's Qwen team. Built upon the 20B Qwen-Image model, it has been further trained to extend its unique text rendering capabilities to image editing tasks, enabling precise text editing within images. Furthermore, Qwen-Image-Edit utilizes an innovative architecture that feeds the input image into both Qwen2.5-VL (for visual semantic control) and a VAE Encoder (for visual appearance control), achieving capabilities in both semantic and appearance editing. This allows it to support not only low-level visual appearance edits like adding, removing, or modifying elements, but also high-level visual semantic editing such as IP creation and style transfer, which require maintaining semantic consistency. The model has achieved state-of-the-art (SOTA) performance on multiple public benchmarks, establishing it as a powerful foundation model for image editing
Available Serverless
Run queries immediately, pay only for usage
$
0.04
Per Image
Metadata
Specification
State
Available
Architecture
Calibrated
Yes
Mixture of Experts
No
Total Parameters
20
Activated Parameters
20B
Reasoning
No
Precision
FP8
Context length
0K
Max Tokens
Supported Functionality
Serverless
Supported
Serverless LoRA
Not supported
Fine-tuning
Not supported
Embeddings
Not supported
Rerankers
Not supported
Support image input
Not supported
JSON Mode
Not supported
Structured Outputs
Not supported
Tools
Not supported
Fim Completion
Not supported
Chat Prefix Completion
Not supported
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Model FAQs: Usage, Deployment
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