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Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

License: MIT License

Python 100.00%

gans generative-adversarial-network vqgan

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On line 51 of the face_loss.py, I think we should use the torch.cat function. Or maybe I was wrong

Does anyone have pre-trained VQ-SEG checkpoint?

Classifier free guidance

Thanks for sharing the code, I cannot find the classifer free guidance in this implementation. I wonder if I miss it, if so can you show me where it is? Thanks for your patience

hydra.errors.InstantiationException: Error locating target 'Data.dataset_preprocessor_web.S3ProcessedDataset', set env var HYDRA_FULL_ERROR=1 to see chained exception. full_key: dataset

after running train.py I am getting this issue. Although the code is running till init.py.

Will the segmentation graph data set be exposed?

Hi, I'm very concerned about this great work，What should I do if I want to get the segmentation graph and category of mscoco data set? Will it be disclosed in the future

face_loss_weights.pt not available.

This checkpoint is used in face_loss.py in losses folder, but it is not available.

how to extract segmentation map ahead?

what is the model used to extract segmentation map?

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