Update app.py

app.py

@@ -198,6 +198,8 @@ print('Using device:', device)
 model = load_vqgan_model(args.vqgan_config, args.vqgan_checkpoint).to(device)
 perceptor = clip.load(args.clip_model, jit=False)[0].eval().requires_grad_(False).to(device)
 def inference(text, seed, step_size, max_iterations, width, height, init_image, init_weight, target_images, cutn, cut_pow):
+    torch.cuda.empty_cache()
+    torch.cuda.memory_summary(device=None, abbreviated=False)
     all_frames = []
     size=[width, height]
     texts = text