A tuning-free framework that jointly preserves multiple reference subject identities and obeys bounding-box layout constraints in text-to-image diffusion.
An image is worth one word: Personalizing text-to-image generation using textual inversion,
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Create Anything Anywhere: Layout-Controllable Personalized Diffusion Model for Multiple Subjects
A tuning-free framework that jointly preserves multiple reference subject identities and obeys bounding-box layout constraints in text-to-image diffusion.