.

options/Video_model/Model.py

@@ -56,26 +56,26 @@ def Video(
     # Perform computation with appropriate dtype based on device
     if device == "cuda":
     # Use float16 for GPU
-    with torch.autocast(device_type='cuda', dtype=torch.float16):
-        frames = pipeline(
-            image, height=height, width=width,
-            num_inference_steps=num_inference_steps,
-            min_guidance_scale=min_guidance_scale,
-            max_guidance_scale=max_guidance_scale,
-            num_frames=num_frames, fps=fps, motion_bucket_id=motion_bucket_id,
-            generator=generator,
-        ).frames[0]
-else:
-    # Use bfloat16 for CPU as it's supported in torch.autocast
-    with torch.autocast(device_type='cpu', dtype=torch.bfloat16):
-        frames = pipeline(
-            image, height=height, width=width,
-            num_inference_steps=num_inference_steps,
-            min_guidance_scale=min_guidance_scale,
-            max_guidance_scale=max_guidance_scale,
-            num_frames=num_frames, fps=fps, motion_bucket_id=motion_bucket_id,
-            generator=generator,
-        ).frames[0]
+        with torch.autocast(device_type='cuda', dtype=torch.float16):
+            frames = pipeline(
+                image, height=height, width=width,
+                num_inference_steps=num_inference_steps,
+                min_guidance_scale=min_guidance_scale,
+                max_guidance_scale=max_guidance_scale,
+                num_frames=num_frames, fps=fps, motion_bucket_id=motion_bucket_id,
+                generator=generator,
+            ).frames[0]
+    else:
+        # Use bfloat16 for CPU as it's supported in torch.autocast
+        with torch.autocast(device_type='cpu', dtype=torch.bfloat16):
+            frames = pipeline(
+                image, height=height, width=width,
+                num_inference_steps=num_inference_steps,
+                min_guidance_scale=min_guidance_scale,
+                max_guidance_scale=max_guidance_scale,
+                num_frames=num_frames, fps=fps, motion_bucket_id=motion_bucket_id,
+                generator=generator,
+            ).frames[0]
 
 
     # Save the generated video