公开(公告)号：US20250069298A1

公开(公告)日：2025-02-27

申请号：US18236346

申请日：2023-08-21

Applicant: Maplebear Inc.

Inventor： Prithvishankar Srinivasan ,  Shih-Ting Lin ,  Min Xie ,  Shishir Kumar Prasad ,  Yuanzheng Zhu ,  Katie Ann Forbes

IPC: G06T11/60 ,  G06F16/55 ,  G06F16/583 ,  G06Q30/0601 ,  G06T11/20

Abstract: An online concierge system trains a fine-tuned generative image model for distinct categories of items based on a generative image model that takes a textual query as input and outputs and an associated image. Training of the fine-tuned generative image model is additionally based on a small set of representative images associated with the various categories, as well as textual tokens associated with the categories. Once trained, the fine-tuned generative image model can be used to generate realistic representative images for items in a database of the online concierge system that are lacking associated images. The fine-tuned model permits the generation of different variants of an item, such as different quantities or amounts, different packaging or packing density, and the like.