Comments (1)
We only tried unconditional generation, but it should be compatible with the proper modifications. I suppose you'll need to modify the function compute_scale_inputs
; in particular the mapped_scale = G.scale_mapping(scale, None)
. Here I'm assuming that G.c_dim is None (for unconditional generation), but you could have it also take in a class latent for class-conditional generation.
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Related Issues (10)
- code release HOT 1
- How to loud My OWN image to Colab ? HOT 2
- Anyres panorama HOT 1
- How can I get the bird dataset? HOT 2
- when this system cun work with any image from google as input ?
- Some questions on training HOT 3
- How to generate non-square images ? HOT 4
- Model File Download Link Issue HOT 1
- AnyresGAN on an already existing image (use it as super resolution module)
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