QLIP predicts the quality of the image a text prompt will generate and then assigns low, medium, or high bit precision per layer and denoising step, reducing computational cost while matching or improving FID.
Analytic- DPM: An analytic estimate of the optimal reverse variance in diffusion probabilistic models
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Text Embedding Knows How to Quantize Text-Guided Diffusion Models
QLIP predicts the quality of the image a text prompt will generate and then assigns low, medium, or high bit precision per layer and denoising step, reducing computational cost while matching or improving FID.