up utils

utils.py

@@ -10,6 +10,6 @@ def carga_modelo(model_name="ceyda/butterfly_cropped_uniq1K_512", model_version=
 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