The dual-path technology architecture used by Qwen-Image-Edit represents the current state-of-the-art in AI image editing. The semantic editing path specializes in high-level image abstractions, such as converting a photo into a Van Gogh-style painting or changing the overall atmosphere of an image. This capability relies on a deep-learning visual understanding module that deconstructs the high-level semantic elements of an image.
The Appearance Edit Path, on the other hand, focuses on fine control at the pixel level and is particularly good at localized detail adjustments. For example, it can accurately remove specific objects in a frame without affecting surrounding areas, or modify the texture of a character's clothing. The synergy of these two technical paths allows the tool to make creative modifications while maintaining the original detailed quality of the image.
Compared to traditional image editing software such as Photoshop, Qwen-Image-Edit realizes a smarter and more efficient editing process through AI. What traditional tools require tedious manual operations to achieve is now accomplished through simple text commands, which greatly enhances work efficiency.
This answer comes from the articleQwen-Image-Edit: an AI model for editing images based on textual commandsThe
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