mit-han-lab/fastcomposer

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FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention [website] [demo][replicate api] Abstract Diffusion models excel at text-to-image generation, especially in subject-driven generation for personalized images. However, existing methods are inefficient due to the subject-specific fine-tuning, which is computationally intensive and hampers efficient deployment. Moreover, existing methods struggle with multi-subject generation as they often blend features among subjects....