trying compile (may cause motion degredation!) again & smoll maybe rare bug fix

app.py

@@ -114,16 +114,23 @@ pipe.unet.fuse_qkv_projections()
 #pipe.enable_free_init(method="gaussian", use_fast_sampling=True)
 
 pipe.to(device=DEVICE)
-#pipe.unet = torch.compile(pipe.unet)
-#pipe.vae = torch.compile(pipe.vae)
+pipe.unet = torch.compile(pipe.unet)
+pipe.vae = torch.compile(pipe.vae)
 
 
-#im_embs = torch.zeros(1, 1, 1, 1280, device=DEVICE, dtype=dtype)
-#output = pipe(prompt='a person', guidance_scale=0, added_cond_kwargs={}, ip_adapter_image_embeds=[im_embs], num_inference_steps=STEPS)
-#leave_im_emb, _ = pipe.encode_image(
-#                output.frames[0][len(output.frames[0])//2], DEVICE, 1, output_hidden_state
-#)
-#assert len(output.frames[0]) == 16
+im_embs = torch.zeros(1, 1, 1, 1280, device=DEVICE, dtype=dtype)
+output = pipe(prompt='a person', guidance_scale=0, added_cond_kwargs={}, ip_adapter_image_embeds=[im_embs], num_inference_steps=STEPS)
+leave_im_emb, _ = pipe.encode_image(
+                output.frames[0][len(output.frames[0])//2], DEVICE, 1, output_hidden_state
+)
+assert len(output.frames[0]) == 16
+
+im_embs = torch.zeros(1, 1, 1, 1280, device=DEVICE, dtype=dtype)
+output = pipe(prompt='a person', guidance_scale=0, added_cond_kwargs={}, ip_adapter_image_embeds=[im_embs], num_inference_steps=STEPS)
+leave_im_emb, _ = pipe.encode_image(
+                output.frames[0][len(output.frames[0])//2], DEVICE, 1, output_hidden_state
+)
+
 #leave_im_emb.detach().to('cpu')
 
 @spaces.GPU(duration=20)
@@ -345,7 +352,7 @@ def choose(img, choice, calibrate_prompts, user_id, request: gr.Request):
         choice = 0
     
     row_mask = [p.split('/')[-1] in img for p in prevs_df['paths'].to_list()]
-    if len(prevs_df.loc[row_mask, 'user:rating'][0]) > 0:
+    if len(prevs_df.loc[row_mask, 'user:rating']) > 0:
         prevs_df.loc[row_mask, 'user:rating'][0][user_id] = choice
         prevs_df.loc[row_mask, 'latest_user_to_rate'] = [user_id]
     img, calibrate_prompts = next_image(calibrate_prompts, user_id)