use e4e latent about soat HOT 7 OPEN

If I am not wrong e4e is pretrained on 1024 resolution GAN, so it wouldn't work directly since I am using a 256 resolution GAN. However, my method should generalize to 1024 resolution GAN, so I can see you working with e4e that way.

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I used origin latent projected by face.pt with a real world image, and got a nice result:
real world image | projected image as input | generated reference image | output styled image

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This is very cool and works better than I imagine. Did you use the projector.py code to do GAN inversion?

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yes, the projector.py code in rosinality's project.
but i got bad results with your train.py code on disney dataset:

[sample_disney/010000.png]

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Did you start training with face.pt?

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yes, the early model results are normal, such as 1000iters.

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try using early model then. IIRC, this model I uploaded is only 2k iterations.

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