add

app.py

@@ -333,7 +333,7 @@ class BaseTrainer(object):
         return result
 
 
-@spaces.GPU(duration=140)
+@spaces.GPU(duration=80)
 def _warp(args,model, batch_data,joints,joint_mask_upper,joint_mask_hands,joint_mask_lower,use_trans,mean_upper,mean_hands,mean_lower,std_upper,std_hands,std_lower,trans_mean,trans_std):
     diffusion = create_gaussian_diffusion(use_ddim=args.use_ddim)
     args,model,vq_model_upper,vq_model_hands,vq_model_lower,mean_upper,mean_hands,mean_lower,std_upper,std_hands,std_lower,trans_mean,trans_std,vqvae_latent_scale=_warp_create_cuda_model(args,model,mean_upper,mean_hands,mean_lower,std_upper,std_hands,std_lower,trans_mean,trans_std)