Actualizar huggan

utils.py

@@ -1,15 +1,18 @@
-## crear funciones par ala aplicaciones
 import numpy as np
-import torch 
-from huggan.pytorch.lightweight_gan.lightweight_gan import LightweightGAN
+import torch
+from huggingface_hub import hf_hub_download
+from lightweight_gan import LightweightGAN  # Asegúrate de que este módulo existe o instálalo
 
+## 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, 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().cp().numpy().astype(np.uint8)
-    return ims
+        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