|
|
|
|
|
utils.py |
|
|
|
COLAPSARimport numpy as np |
|
import torch |
|
from huggan.pytorch.lightweight_gan.lightweight_gan import LightweightGAN |
|
|
|
|
|
|
|
def carga_modelo(model_name="ceyda/butterfly_cropped_uniq1K_512", model_version=None): |
|
gan = LightweightGAN.from_pretrained(model_name, version=model_version) |
|
gan.eval() |
|
return gan |
|
|
|
|
|
|
|
def genera(gan, batch_size=1): |
|
with torch.no_grad(): |
|
ims = gan.G(torch.randn(batch_size, gan.latent_dim)).clamp_(0.0, 1.0) * 255 |
|
ims = ims.permute(0, 2, 3, 1).detach().cpu().numpy().astype(np.uint8) |
|
return ims |
|
|
|
|