SDXL

The 'SDXL' dataset/benchmark is used to evaluate the performance of diffusion models, particularly in the context of sampling acceleration and structural pruning strategies.

Papers using SDXL (3)

MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics2025Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training2023CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching2024 · 6 cites