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Hello lucidrains,
Thanks for your code!
I was wondering, is it possible to upscale an image from 1024px to 4K px with GigaGAN? (Even if it takes a lot of memory and GPU/CPU)
In your code it seems to be a 256px upscale in 512px?
If it is possible to upscale in 1024px what values should I change in your code?
gan = GigaGAN( train_upsampler = True, # set this to True generator = dict( style_network = dict( dim = 64, depth = 4 ), dim = 32, image_size = 256, input_image_size = 64, unconditional = True ), discriminator = dict( dim_capacity = 16, dim_max = 512, image_size = 256, num_skip_layers_excite = 4, multiscale_input_resolutions = (128,), unconditional = True ), amp = True ).cuda() dataset = ImageDataset( folder = '/path/to/your/data', image_size = 256 )
Should I change the dim, multiscale_input_resolutions? I'm a bit lost. :-)
Regards,
Sparfell
The text was updated successfully, but these errors were encountered:
also wondering how to upscale images from A resolution to B resolution.
Sorry, something went wrong.
@LouSparfell which dataset are you training this on?
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Hello lucidrains,
Thanks for your code!
I was wondering, is it possible to upscale an image from 1024px to 4K px with GigaGAN? (Even if it takes a lot of memory and GPU/CPU)
In your code it seems to be a 256px upscale in 512px?
If it is possible to upscale in 1024px what values should I change in your code?
Should I change the dim, multiscale_input_resolutions? I'm a bit lost. :-)
Regards,
Sparfell
The text was updated successfully, but these errors were encountered: