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generate_data.py generates empty images #25
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When you run A friendly reminder, please delete the already converted model, pull the latest version, and re-run |
Hi, I'm sorry for late response. The test error is below: I'm using the source code of InterFaceGAN I cloned a few minutes ago. Again, thank you so much for your kindly support! |
Hmmm, that distance is indeed large... What is the resolution of your model? Do you use the official code for traning? |
I train my model using this github: https://github.com/tkarras/progressive_growing_of_gans, I think it is the official one. I choose the resolution 128x128 as a quick start. Below is my config.txt of the training:
And I created this in MODEL_POOL in InterFaceGAN/models/model_settings.py
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I think the official released 1024x1024 model sets More details can be found in issue #10 |
Yeah that is absolutely true. I keep fused_scale as True for my training. It's generating reasonable images now. Thank you very much! |
Hi guys,
Thank you for your great work. I have a question.
I found that generate_data.py works very well with my style-gan models, but when I trained PGGAN with the same dataset of images and then ran generate_data.py for generating 10k images, all images look like this:
I tried another checkpoint but it gave similar results:
I guess it is caused by some misconfiguration between my PGGAN and the inference code of InterFaceGAN, but haven't found it yet. Can you give me some advice please?
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