Update app.py

app.py

@@ -165,13 +165,13 @@ def main():
     global dtype
 
     device = "cuda"
-    dtype = torch.float16
+    dtype = torch.bfloat16
     result=[]
     step = 2
 
     base = "stabilityai/stable-diffusion-xl-base-1.0"
     repo = "ByteDance/SDXL-Lightning"
-    ckpt = "sdxl_lightning_4step_unet.safetensors" # Use the correct ckpt for your step setting!
+    ckpt = f"sdxl_lightning_{step}step_unet.safetensors"
 
     unet = UNet2DConditionModel.from_config(base, subfolder="unet").to("cuda", torch.float16)
     unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device="cuda"))
@@ -182,7 +182,7 @@ def main():
     adapter = MotionAdapter().to(device, dtype)
     adapter.load_state_dict(load_file(hf_hub_download(repo ,ckpt), device=device))
 
-    pipe = AnimateDiffPipeline.from_pretrained(base, motion_adapter=adapter, unet=unet, torch_dtype=dtype, variant="fp16").to(device, dtype, True, True)
+    pipe = AnimateDiffPipeline.from_pretrained(base, motion_adapter=adapter, unet=unet, torch_dtype=dtype, variant="fp16").to(device=device, dtype=dtype)
     pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing", beta_schedule="linear")
     
     mp.set_start_method("spawn", force=True)