Comments (1)
syz825211943
commented on June 8, 2024
Thanks for the work. Looks really cool! I have two questions about the script
train.py:(1) Does the parameter
freezeFCmean that you want to freeze the whole style network (fromztow) on left of the generator? Looks you do not really freeze it but instead use the latentwcomputed from the source generator.(2) For the
generator_source, do we also need to load the weight of source generator before starting the training? I see you only define it without pre-loading any weight.
Hello, have you resolved these two issues? I also found that these two parts are inconsistent with the description provided by the author. Looking forward to your response，thanks @Yijunmaverick @ @happy-jihye
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Related Issues (18)
- inference of cpu HOT 2
- AttributeError: module 'clip' has no attribute 'tokenize' HOT 2
- How to do layer swapping
- Colab notebook error because of compare_ssim HOT 1
- Please advise on how to convert PT model to ONNX.
- regarding training on a new dataset HOT 2
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- image test HOT 2
- What is the code license?
- Example on feeding a source image as input and use the model to generate output
- Feat. req. Win build / installer HOT 1
- Google Drive permissions [GOOGLE COLAB] HOT 1
- about the freezing of generator HOT 2
- Can you share used FreezeS/G/D values? HOT 1
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- ImportError: cannot import name 'ensure_checkpoint_exists' from 'utils' HOT 1
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