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Found 2 papers, 2 papers with code
Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models
While several powerful distillation methods were recently proposed, the overall quality of student samples is typically lower compared to the teacher ones, which hinders their practical usage.
Towards Real-time Text-driven Image Manipulation with Unconditional Diffusion Models
Finally, we show that our approach can adapt the pretrained model to the user-specified image and text description on the fly just for 4 seconds.
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