Technology Differences and Application Advantages
The model demonstrates significant differentiation in the following areas:
- word processing skill: Accurately modify Chinese and English characters in images (e.g., correcting menu prices or replacing banners), whereas most AI tools can only generate text but not modify existing text.
- Detail retentionUnique Appearance Control Module: Preserves original details such as wheel textures and glass reflections when performing operations such as "change car color".
- Progressive editing: Supports multiple rounds of command overlay, e.g., "Add Santa Hat" then "Adjust Hat Angle", without having to regenerate the entire image.
- landed cost: As an Apache 2.0 open source project, more cost-effective than commercial APIs (such as DALL-E), especially suitable for enterprise users who need to batch processing
Comparison TestIt is shown that in the e-commerce product image modification scenario, Qwen-Image-Edit's command comprehension accuracy is 231 TP3T higher than that of similar tools, and the perturbation of non-modified areas of the original image is reduced by 401 TP3T.
This answer comes from the articleQwen-Image-Edit: an AI model for editing images based on textual commandsThe
May not be reproduced without permission:AI productivity tools " What are the unique advantages of Qwen-Image-Edit over other AI image editing tools such as DALL-E or Stable Diffusion?
