Comments (3)
ShenYujun
commented on June 24, 2024
When training the encoder, we do not need progressive training. So, you should only specify one file for the dataset (i.e., the one with the highest resolution) instead of a directory of datasets from all resolutions.
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leoffx
commented on June 24, 2024
It would be nice if this was added to the README. Also adding information about using the dataset_tool.py could be useful for people who never used StyleGAN before.
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ShenYujun
commented on June 24, 2024
Good suggestion! We will update the README soon. Thanks!
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Related Issues (20)
- Details about training the encoder HOT 1
- Error occurs when running invert.py HOT 1
- How to set gpu id in train.py HOT 2
- ModuleNotFoundError: No module named 'tensorflow.contrib.nccl' HOT 1
- About resolution in styleGAN HOT 2
- Encoder train on crawled face or FFHQ HOT 5
- about the W space HOT 1
- why face with eyeglasses when aged? HOT 2
- Training an encoder using pretrained StyleGAN HOT 2
- CUDA, cuDNN and NCCL versions HOT 2
- Training problems HOT 1
- My own data set HOT 1
- Could you provide me with the code for calculating SWD?
- Will you update the training code for pytorch soon? HOT 2
- How many iterations are needed to generate similar faces？ HOT 1
- Error in Inversion Task HOT 2
- tensorflow.python.framework.errors_impl.InternalError: Blas GEMM launch failed HOT 3
- Using Semantic Diffusion in other domains (that are not faces) HOT 1
- Encoder is not trained at all. HOT 1
- Is it correct to use interfaceGAN when dealing with the tower dataset? HOT 1
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