Update app.py

app.py

@@ -85,7 +85,6 @@ def Piper(name,positive_prompt,negative,motion):
     global base
     global device
 
-    pipe.unet.load_state_dict(torch.load(hf_hub_download(base, "unet/diffusion_pytorch_model.bin"), map_location=device), strict=False)
     progress((0, step))
 
     if last_motion != motion:
@@ -198,7 +197,7 @@ def main():
     fps=20
     time=16
     device = "cuda"
-    dtype = torch.bfloat16
+    dtype = torch.float16
     result=[]
     step = 2
 
@@ -216,7 +215,7 @@ def main():
     pipe = AnimateDiffPipeline.from_pretrained(base, vae=vae, motion_adapter=adapter, feature_extractor=None, image_encoder=None, unet=unet, torch_dtype=dtype, token=os.getenv("hf_token")).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.enable_free_init(method="butterworth", use_fast_sampling=False)
+    pipe.enable_free_init(method="butterworth", use_fast_sampling=True)
     
     mp.set_start_method("spawn", force=True)