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FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition

Ganggui Ding*, Canyu Zhao*, Wen Wang*, Zhen Yang, Zide Liu, Hao Chen†, Chunhua Shen† (*equal contribution, †corresponding author)

Project Page | Paper(Todo)

Customized image generation

results_of_multi_concept results_of_single_concept Our method excels at rapidly generating high-quality images with multiple concept combinations and single concept customization, without any model parameter tuning. The identity of each concept is remarkably preserved. Furthermore, our method exhibits great versatility and robustness when dealing with different categories of concepts. This versatility allows users to generate customized images that involve diverse combinations of concepts, catering to their specific needs and preferences. Best viewed on screen.

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[CVPR 2024] Official PyTorch implementation of FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition

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