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Why are the images generated during training (in the index) converted well, but when the trained weights are used for inference, the conversion effect of these images is worse than that of the images converted during training? I can't figure it out.
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The conversion effect between images is good during training, but it is much worse when using the trained weights for reasoning
The conversion effect between images is good during training, but it is much worse when predicting with the trained weights
Feb 25, 2025
Why are the images generated during training (in the index) converted well, but when the trained weights are used for inference, the conversion effect of these images is worse than that of the images converted during training? I can't figure it out.
The text was updated successfully, but these errors were encountered: