
Edit images using a prompt. This model extends Qwen-Image’s unique text rendering capabilities to image editing tasks, enabling precise text editing
Frequently asked questions
What is Qwen-Image-Edit and what can it do?
Qwen-Image-Edit is a 20B-parameter AI image editing model by Qwen, available on Replicate. It enables instruction-based edits including object swapping, style transfer, pose changes, and precise text editing within images in both Chinese and English, using a dual-control architecture combining a vision-language model and VAE Encoder.
Can Qwen-Image-Edit edit text inside images?
Yes. Qwen-Image-Edit supports precise bilingual text editing within images in both Chinese and English. It can add, delete, or modify embedded text while preserving the original font, size, color, and style of surrounding text — a capability that is rare among AI image editing models.
How does Qwen-Image-Edit differ from other image editing models?
Qwen-Image-Edit stands out with its dual-control architecture that simultaneously processes images through Qwen2.5-VL for semantic understanding and a VAE Encoder for pixel-level fidelity. This allows both high-level semantic edits and localized appearance edits, plus rare bilingual in-image text editing, achieving SOTA results on multiple public benchmarks.
What is the underlying architecture of Qwen-Image-Edit?
Qwen-Image-Edit is built on the 20B Qwen-Image foundation model. It combines Qwen2.5-VL for visual semantic understanding with a VAE Encoder for visual appearance control. This dual-control architecture enables instruction-driven edits that balance creative transformation with visual consistency across the entire image.
How many times has Qwen-Image-Edit been used on Replicate?
Qwen-Image-Edit has been run over 2.1 million times on Replicate, demonstrating its high-volume reliability and widespread adoption among creators and developers who need precise, instruction-based image editing capabilities at scale.
What types of edits can Qwen-Image-Edit perform?
Qwen-Image-Edit supports semantic edits like character pose changes, artistic style transfer, object rotation, and IP style transformations, as well as appearance edits like adding, removing, or modifying specific elements. It can also edit embedded text in images in Chinese and English while keeping unaffected regions unchanged.
Is Qwen-Image-Edit suitable for professional creative workflows?
Yes. Qwen-Image-Edit is recommended on CRAISEE for creators needing surgical control over image content. Its SOTA benchmark performance, 2.1M+ run history, bilingual text editing, and dual-control architecture make it suitable for professional use cases including design, localization, and content creation workflows.
What provider hosts Qwen-Image-Edit and how do I access it?
Qwen-Image-Edit is hosted on Replicate under the model slug qwen/qwen-image-edit. It was created by Qwen and falls under the image-to-image category. You can access it via the Replicate API or through platforms like CRAISEE that integrate Replicate-hosted models for creative workflows.

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