detach cambio

utils.py

@@ -10,6 +10,6 @@ def carga_modelo(modelo_name ="ceyda/butterfly_cropped_uniq1K_512", model_versio
 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).deatch().cpu().numpy().astype(np.uint8)
+        ims = ims.permute(0,2,3,1).detach().cpu().numpy().astype(np.uint8)
 
     return ims