diff --git a/facefusion/content_analyser.py b/facefusion/content_analyser.py
index 7a3cd4e1..cf21f06f 100644
--- a/facefusion/content_analyser.py
+++ b/facefusion/content_analyser.py
@@ -167,10 +167,12 @@ def analyse_video(video_path : str, trim_frame_start : int, trim_frame_end : int
 		for frame_number in frame_range:
 			if frame_number % int(video_fps) == 0:
 				vision_frame = read_video_frame(video_path, frame_number)
-				total += 1
 
-				if analyse_frame(vision_frame):
-					counter += 1
+				if numpy.any(vision_frame):
+					total += 1
+
+					if analyse_frame(vision_frame):
+						counter += 1
 
 			if counter > 0 and total > 0:
 				rate = counter / total * 100
diff --git a/facefusion/core.py b/facefusion/core.py
index 2027d8c1..e4aef22d 100755
--- a/facefusion/core.py
+++ b/facefusion/core.py
@@ -115,7 +115,7 @@ def common_pre_check() -> bool:
 	content_analyser_content = inspect.getsource(content_analyser).encode()
 	content_analyser_hash = hash_helper.create_hash(content_analyser_content)
 
-	return all(module.pre_check() for module in common_modules) and content_analyser_hash == '05843613'
+	return all(module.pre_check() for module in common_modules) and content_analyser_hash == '975d67d6'
 
 
 def processors_pre_check() -> bool:
diff --git a/facefusion/uis/components/preview.py b/facefusion/uis/components/preview.py
index 59eaa03d..67af369a 100755
--- a/facefusion/uis/components/preview.py
+++ b/facefusion/uis/components/preview.py
@@ -51,10 +51,13 @@ def render() -> None:
 	if is_video(state_manager.get_item('target_path')):
 		temp_vision_frame = read_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
 		reference_vision_frame = read_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
-		preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, temp_vision_frame, uis_choices.preview_modes[0], uis_choices.preview_resolutions[-1])
-		preview_image_options['value'] = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGR2RGB)
-		preview_image_options['elem_classes'] = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ]
-		preview_image_options['visible'] = True
+
+		if numpy.any(temp_vision_frame):
+			preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, temp_vision_frame, uis_choices.preview_modes[0], uis_choices.preview_resolutions[-1])
+			preview_image_options['value'] = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGR2RGB)
+			preview_image_options['elem_classes'] = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ]
+			preview_image_options['visible'] = True
+
 	PREVIEW_IMAGE = gradio.Image(**preview_image_options)
 	register_ui_component('preview_image', PREVIEW_IMAGE)
 
@@ -209,11 +212,13 @@ def update_preview_image(preview_mode : PreviewMode, preview_resolution : str, f
 	if is_video(state_manager.get_item('target_path')):
 		reference_vision_frame = read_video_frame(state_manager.get_item('target_path'), state_manager.get_item('reference_frame_number'))
 		temp_vision_frame = read_video_frame(state_manager.get_item('target_path'), frame_number)
-		temp_vision_mask = extract_vision_mask(temp_vision_frame)
-		temp_vision_frame = merge_vision_mask(temp_vision_frame, temp_vision_mask)
-		preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, temp_vision_frame, preview_mode, preview_resolution)
-		preview_vision_frame = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGRA2RGBA)
-		return gradio.Image(value = preview_vision_frame, elem_classes = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ])
+
+		if numpy.any(temp_vision_frame):
+			temp_vision_mask = extract_vision_mask(temp_vision_frame)
+			temp_vision_frame = merge_vision_mask(temp_vision_frame, temp_vision_mask)
+			preview_vision_frame = process_preview_frame(reference_vision_frame, source_vision_frames, source_audio_frame, source_voice_frame, temp_vision_frame, preview_mode, preview_resolution)
+			preview_vision_frame = cv2.cvtColor(preview_vision_frame, cv2.COLOR_BGRA2RGBA)
+			return gradio.Image(value = preview_vision_frame, elem_classes = [ 'image-preview', 'is-' + detect_frame_orientation(preview_vision_frame) ])
 	return gradio.Image(value = None, elem_classes = None)