Update app.py

app.py

@@ -81,10 +81,9 @@ def Piper(name,positive_prompt,motion):
     global time
     global last_motion
     global progress
-    
+
+    pipe.unet.load_state_dict(torch.load(hf_hub_download(base, "unet/diffusion_pytorch_model.bin"), map_location=device), strict=False)
     progress((0, step))
-    
-    print("starting piper")
 
     if motion_loaded != motion:
         pipe.unload_lora_weights()
@@ -217,8 +216,7 @@ def main():
     pipe = AnimateDiffPipeline.from_pretrained(base, torch_dtype=dtype).to(device)
     pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing", beta_schedule="linear")
     pipe.unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device=device), strict=False)
-    pipe.unet.load_state_dict(torch.load(hf_hub_download(base, "unet/diffusion_pytorch_model.bin"), map_location=device), strict=False)
-    
+
     mp.set_start_method("spawn", force=True)
 
     with gr.Blocks(theme=gr.themes.Soft(),css=css,js=js) as demo: