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Hi, the FID score in the paper is impressive. But I am curious about the generation results without cfg, could you provide the score of them? Thanks a lot.
The text was updated successfully, but these errors were encountered:
Hi! Thanks for your interest on our work. We haven't conducted any experiment without cfg. I think simply set the cfg_scale=1 is not appropriate since our training adopts the 0.1 dropout for class embedding. I think you should consider retrain the model without the dropout.
Hi, the FID score in the paper is impressive. But I am curious about the generation results without cfg, could you provide the score of them? Thanks a lot.
The text was updated successfully, but these errors were encountered: