A New AI Research from Tel Aviv and the University of Copenhagen Introduces a ‘Plug-and-Play’ Approach for Rapidly Fine-Tuning Text-to-Image Diffusion Models by Using a Discriminative Signal

Text-to-image diffusion models have exhibited impressive success in generating diverse and high-quality images based on input text descriptions. Nevertheless, they encounter challenges when the input text is lexically ambiguous or involves intricate details. This can lead to situations where the intended image content, such as an “iron” for clothes, is misrepresented as the “elemental” metal. […]

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