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GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models
The text encoder is a critical component of text-to-image and text-to-video diffusion models, fundamentally determining the semantic fidelity of the generated content. However, its development has been hindered by two major challenges: the lack of an efficient evaluation framework that reliably pred
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