refactory Utils

utils.py

@@ -2,13 +2,15 @@ import numpy as np
 import torch
 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 = LightweightGAN.from_pretrained(model_name, versio=model_version)
+    gan = LightweightGAN.from_pretrained(model_name, version=model_version)
     gan.eval()
     return gan
 
-def general(gan, batch_size=1):
+## Usamos el modelo GAN para generar imágenes
+def genera(gan, batch_size=1):
     with torch.no_grad():
-        ims = gan.G(torch.rand(batch_size, gan.latent_dim)).clamp_(0.0, 1.0) * 255
-        ims = ims.permute(0,2,3,1).deatch().cpu().numpy().astype(np.uint8)
+        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