Nested Diffusion Processes for Anytime Image Generation propose an anytime diffusion-based method that can generate viable images when stopped at arbitrary times before completion. Using existing pretrained diffusion models, we show that the generation scheme can be recomposed
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RIVAL: Diffusion-Based Real-World Image Variation Pipeline
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Real-World Image Variation by Aligning Diffusion Inversion Chain propose a novel inference pipeline called Real-world Image Variation by ALignment (RIVAL) that utilizes diffusion models to generate image variations from a single image exemplar. Our pipeline enhances the