647 lines
12 KiB
JSON
647 lines
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"We calibrate the MagCache using the MagCache Calibration node with 40 euler sampling steps. The calibrated mag_ratios can also be utilized with a different inference steps, such as 20 steps. You can also recalibrate the mag_ratios in node.py with the right MagCache Calibration node.\n\nThe following config achieves 1.3x speedup without degrading visual quality.\nmagcache_thresh: 0.06\nmagcache_K: 2\nretention_ratio: 0.20\n\nFor a faster generateing, please utilize the following hyper-parameters, achieving a 1.5x speedup with a balance between quality and speed. \nmagcache_thresh: 0.10\nmagcache_K: 2\nretention_ratio: 0.20\n\n\nThe following hyper-parameters achieve a 1.75x speedup， which may fail in some cases requiring fine-grained details or texts:\nmagcache_thresh: 0.15\nmagcache_K: 2\nretention_ratio: 0.20\n\n\n\n\n"
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