Update app.py

app.py

@@ -54,9 +54,9 @@ pipe = StableVideoDiffusionPipeline.from_pretrained(
     variant="fp16",
 )
 pipe.to("cuda")
-pipe.enable_model_cpu_offload()  # for smaller cost
+# pipe.enable_model_cpu_offload()  # for smaller cost
 model_select("AnimateLCM-SVD-xt.safetensors")
-# pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True) # for faster inference
+pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True) # for faster inference
 
 
 max_64_bit_int = 2**63 - 1
@@ -68,7 +68,7 @@ def sample(
     randomize_seed: bool = False,
     motion_bucket_id: int = 80,
     fps_id: int = 8,
-    max_guidance_scale: float = 1.2,
+    max_guidance_scale: float = 1.3,
     min_guidance_scale: float = 1,
     width: int = 1024,
     height: int = 576,
@@ -200,7 +200,7 @@ with gr.Blocks() as demo:
         max_guidance_scale = gr.Slider(
             label="Max guidance scale",
             info="classifier-free guidance strength",
-            value=1.2,
+            value=1.3,
             minimum=1,
             maximum=2,
         )