记录生成视频的路径

image_enhancer.py

@@ -2,7 +2,7 @@
 from PIL import Image, ImageEnhance, ImageFilter
 
 # 打开图像文件
-image_path = r'E:\SadTalker\examples\source_image\91a54181-568f-4cda-8f3c-0f2c811eaf20.jpg'
+image_path = r'E:\SadTalker\examples\source_image\001.png'
 image = Image.open(image_path)
 
 # 创建ImageEnhance.Color对象
@@ -21,4 +21,4 @@ blurred_image = color_image.filter(ImageFilter.GaussianBlur(1))
 blurred_image.show()
 
 # 保存图像
-blurred_image.save('path_to_save_image.jpg')
+blurred_image.save('test.jpg')

silent_video_record.txt

@@ -0,0 +1 @@
+7c7b0b462a5a7d798a5b0950601eafeb results/silent-video\001##silent_audio_enhanced_trimmed.mp4

text_wav.py

@@ -13,7 +13,7 @@ def text_to_speech(text, output_file):
     # 请求参数
     request_data = {
         "text": text,
-        "spk_id": 0,
+        "spk_id": 3,
         # 语速
         "speed": 0.87,
         "volume": 1.0,
@@ -43,7 +43,7 @@ statements = [
 ]
 
 # 保存语音的文件名列表
-output_files = [f"E:\\SadTalker\\temp\\wav\\tts_result_{i}.wav" for i in range(len(statements))]
+output_files = [f"E:\\SadTalker\\temp\\wav\\3.wav" for i in range(len(statements))]
 
 # 发送每个语句的请求并保存音频文件
 for i in range(len(statements)):