.

options/Video_model/Model.py

@@ -67,15 +67,15 @@ def Video(
             ).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='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