utils

utils.py

@@ -1,16 +1,18 @@
 import numpy as np
 import torch
-from huggan.pytorch.ligthweigth_gan.ligthweigth_gan import LigthweigthGAN
+from huggan.pytorch.lightweight_gan.lightweight_gan import LightweightGAN
 
+## Cargamos el modelo desde el Hub de Hugging Face
 def carga_modelo(model_name="ceyda/butterfly_cropped_uniq1k_512", model_version=None):
     gan = LigthweigthGAN.from_pretrained(model_name, version=model_version)
     gan.eval()
     return gan
 
+# Usamos el modelo GAN para generar imágenes
 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.unit8)
-        return ims
+    return ims