Abstract: Highlights•We study the task of reversing the text-to-image generation process of diffusion models.•We propose a training pipeline comprising three novel components.•We demonstrate the usefulness of our pipeline on four underlying models.•We showcase a promising application of prompt generation models in text-to-image generation.
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