Fix ZeroGPU worker error by removing manual device management

- Remove pipe.to(device) and enable_sequential_cpu_offload() calls
- Let ZeroGPU handle device placement automatically
- Increase duration to 180s for longer generation time
- Add traceback printing for better error debugging

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

app.py

@@ -23,7 +23,7 @@ pipe.vae.enable_slicing()
 print("Model loaded successfully!")
 
 
-@spaces.GPU(duration=120)
+@spaces.GPU(duration=180)
 def generate_interpolation(
     first_image,
     last_image,
@@ -43,11 +43,6 @@ def generate_interpolation(
         return None, "⚠️ Please provide a text prompt describing the motion!"
 
     try:
-        # Move model to CUDA inside the decorated function
-        device = "cuda" if torch.cuda.is_available() else "cpu"
-        pipe.to(device)
-        pipe.enable_sequential_cpu_offload()
-
         # Convert numpy arrays to PIL Images if needed
         if not isinstance(first_image, Image.Image):
             first_image = Image.fromarray(first_image)
@@ -59,8 +54,8 @@ def generate_interpolation(
             f"Parameters: frames={num_frames}, steps={num_inference_steps}, guidance={guidance_scale}"
         )
 
-        # Generate video
-        generator = torch.Generator(device=device).manual_seed(seed)
+        # Generate video - ZeroGPU handles device placement automatically
+        generator = torch.Generator(device="cuda").manual_seed(seed)
 
         video = pipe(
             prompt=prompt,
@@ -88,6 +83,8 @@ def generate_interpolation(
     except Exception as e:
         error_msg = f"❌ Error: {str(e)}"
         print(error_msg)
+        import traceback
+        traceback.print_exc()
         return None, error_msg