测试示例

test.py

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+from modelscope.piplines import pipeline
+
+# Create a pipeline instance for talking head generation using the specified model and revision.
+inference = pipeline('talking-head', model='./wwd123/sadtalker', model_revision='v1.0.0')
+
+# Define the input source image and audio file paths.
+source_image = "liao.jpg"
+driven_audio = "xx_cn.wav"
+
+# Set the output directory where results will be saved.
+out_dir = "./results/"
+
+# Configure various parameters for the inference process:
+kwargs = {
+    'preprocess': 'full',  # Options are 'crop', 'resize', or 'full'
+    'still_mode': True,
+    'use_enhancer': False,
+    'batch_size': 1,
+    'size': 256,  # Image size can be either 256 or 512 pixels
+    'pose_style': 0,
+    'exp_scale': 1,
+    'result_dir': out_dir
+}
+
+# Perform inference to generate the video from the source image and audio.
+video_path = inference(source_image=source_image, driven_audio=driven_audio, **kwargs)
+
+# Print the path of the generated video file.
+print(f"==>> video_path: {video_path}")