Single image concept encoder for personalization using a pretrained diffusion model

Abstract

Systems and methods for image processing are provided. One aspect of the systems and methods includes identifying a style image including a target style. A style encoder network generates a style vector representing the target style based on the style image. The style encoder can be trained based on a style loss that encourages the network to match a desired style. A a diffusion model generates a synthetic image that includes the target style based on the style vector. The diffusion model is trained independently of the style encoder network.

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