Text-to-image diffusion models have been established as a powerful method for high-fidelity image generation based on given text. Nevertheless, diffusion models do not always grant the desired alignment between the given input text and the generated image, especially for complicated idiosyncratic prompts that are not encountered in real life. Hence, there is growing interest in efficiently fine…
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