Qwen-Image-Edit's chained editing feature represents the current state-of-the-art in interactive AI image processing. This feature allows the user to progressively refine the image to achieve the desired result through multiple rounds of progressive text commands. Unlike a single edit model, it remembers the previous modification state and continues to make adjustments based on it.
Specific application scenarios include word-by-word correction of calligraphy, iterative optimization of design drafts, and so on. For example, users can first modify the overall style of a picture to watercolor, then adjust the color of specific elements, and finally fine-tune the light and shadow effects. Each step of the command is executed on the basis of the completion of the previous step, ensuring the coherence and controllability of the editing process.
This capability is realized through the model's memory mechanism and state retention function. It is capable of retaining the intermediate results of the preceding sequence of edits while accurately understanding the specific meaning of subsequent instructions in the current image context. This progressive editing greatly improves the efficiency of complex image modifications.
This answer comes from the articleQwen-Image-Edit: an AI model for editing images based on textual commandsThe
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