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Hi, thanks for your great work! I found that during training, you use a embedded_cfg_scale of 1000, while during inference, the embedded_cfg_scale is 6016. Could you please explain why you use different values for training and inference? Thanks a lot! Does embedded_cfg_scale=1000 equal to no_cfg?
Reproduction
None
The text was updated successfully, but these errors were encountered:
Environment
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Describe the bug
Hi, thanks for your great work! I found that during training, you use a
embedded_cfg_scale
of 1000, while during inference, theembedded_cfg_scale
is 6016. Could you please explain why you use different values for training and inference? Thanks a lot! Doesembedded_cfg_scale=1000
equal tono_cfg
?Reproduction
None
The text was updated successfully, but these errors were encountered: