Update app.py

app.py

@@ -42,21 +42,21 @@ pipe.unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device=device),
 step_loaded = step
 
 # Note Julian: I'm not sure this works well when the pipeline changes dynamically.. to check
-helper = DeepCacheSDHelper(pipe=pipe)
-helper.set_params(
-    # cache_interval means the frequency of feature caching, specified as the number of steps between each cache operation.
-    # with AnimateDiff this seems to have large effects, so we cannot use large values,
-    # even with cache_interval=3 I notice a big degradation in quality
-    cache_interval=2,
-
-    # cache_branch_id identifies which branch of the network (ordered from the shallowest to the deepest layer) is responsible for executing the caching processes.
-    # Note Julian: I should create my own benchmarks for this
-    cache_branch_id=0,
-
-    # Opting for a lower cache_branch_id or a larger cache_interval can lead to faster inference speed at the expense of reduced image quality
-    #(ablation experiments of these two hyperparameters can be found in the paper).
-)
-helper.enable()
+#helper = DeepCacheSDHelper(pipe=pipe)
+#helper.set_params(
+#    # cache_interval means the frequency of feature caching, specified as the number of steps between each cache operation.
+#    # with AnimateDiff this seems to have large effects, so we cannot use large values,
+#    # even with cache_interval=3 I notice a big degradation in quality
+#    cache_interval=2,
+#
+#    # cache_branch_id identifies which branch of the network (ordered from the shallowest to the deepest layer) is responsible for executing the caching processes.
+#    # Note Julian: I should create my own benchmarks for this
+#    cache_branch_id=0,
+#
+#    # Opting for a lower cache_branch_id or a larger cache_interval can lead to faster inference speed at the expense of reduced image quality
+#    #(ablation experiments of these two hyperparameters can be found in the paper).
+#)
+#helper.enable()
 
 # ----------------------------------- VIDEO ENCODING ---------------------------------
 # The Diffusers utils hardcode MP4V as a codec which is not supported by all browsers.