EchoMimic 0717升级版 大幅度提升生成速度 - 一张照片生成对口型说话视频，可用于AI数字人生成，本地一键整合包下载

无言***

hanhenry 发表于 2024-7-25 17:50
这个要怎么发图片啊

刚不告诉你了，你的问题是上传的图片人脸检测不到，找一张清晰的人脸照，人脸不要太小，按照示例里的素材做参考

liang***

后排支持，但好像积分不够。

kopf***

我好像也是生成就错误。 process = run_async(
  File "C:\AI\EchoMimic\venv\lib\site-packages\ffmpeg\_run.py", line 284, in run_async
    return subprocess.Popen(
  File "C:\AI\EchoMimic\venv\lib\subprocess.py", line 858, in __init__
    self._execute_child(args, executable, preexec_fn, close_fds,
  File "C:\AI\EchoMimic\venv\lib\subprocess.py", line 1311, in _execute_child
    hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
FileNotFoundError: [WinError 2] 系统找不到指定的文件。
大佬，这是啥意思，一点生成就秒报错

kopf***

都是默认的参数，上传图片和音频，图片是JPG，1：1，音频是wav，大约15秒。

To create a public link, set `share=True` in `launch()`.
Traceback (most recent call last):
  File "C:\AI\EchoMimic\venv\lib\site-packages\gradio\queueing.py", line 536, in process_events
    response = await route_utils.call_process_api(
  File "C:\AI\EchoMimic\venv\lib\site-packages\gradio\route_utils.py", line 276, in call_process_api
    output = await app.get_blocks().process_api(
  File "C:\AI\EchoMimic\venv\lib\site-packages\gradio\blocks.py", line 1897, in process_api
    result = await self.call_function(
  File "C:\AI\EchoMimic\venv\lib\site-packages\gradio\blocks.py", line 1483, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "C:\AI\EchoMimic\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "C:\AI\EchoMimic\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "C:\AI\EchoMimic\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "C:\AI\EchoMimic\venv\lib\site-packages\gradio\utils.py", line 816, in wrapper
    response = f(*args, **kwargs)
  File "webgui.py", line 238, in generate_video
    final_output_path = process_video(
  File "webgui.py", line 180, in process_video
    video = pipe(
  File "C:\AI\EchoMimic\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "C:\AI\EchoMimic\src\pipelines\pipeline_echo_mimic.py", line 395, in __call__
    whisper_feature = self.audio_guider.audio2feat(audio_path)
  File "C:\AI\EchoMimic\src\models\whisper\audio2feature.py", line 100, in audio2feat
    result = self.model.transcribe(audio_path)
  File "C:\AI\EchoMimic\src\models\whisper\whisper\transcribe.py", line 85, in transcribe
    mel = log_mel_spectrogram(audio)
  File "C:\AI\EchoMimic\src\models\whisper\whisper\audio.py", line 111, in log_mel_spectrogram
    audio = load_audio(audio)
  File "C:\AI\EchoMimic\src\models\whisper\whisper\audio.py", line 42, in load_audio
    ffmpeg.input(file, threads=0)
  File "C:\AI\EchoMimic\venv\lib\site-packages\ffmpeg\_run.py", line 313, in run

kopf***

kopf2018 发表于 2024-8-2 23:01
都是默认的参数，上传图片和音频，图片是JPG，1：1，音频是wav，大约15秒。

To create a public link, set ...

啊，我的确是下了好多个，不是你的啊，打扰了。

kry***

无言以对 发表于 2024-7-25 17:53
黑色窗口鼠标左键拖选全部信息，点击上方的标题栏，右键，编辑，复制，然后粘贴到这里

Traceback (most recent call last):
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\queueing.py", line 536, in process_events
    response = await route_utils.call_process_api(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\route_utils.py", line 276, in call_process_api
    output = await app.get_blocks().process_api(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\blocks.py", line 1897, in process_api
    result = await self.call_function(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\blocks.py", line 1483, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\utils.py", line 816, in wrapper
    response = f(*args, **kwargs)
  File "webgui.py", line 238, in generate_video
    final_output_path = process_video(
  File "webgui.py", line 180, in process_video
    video = pipe(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "E:\AI_TOOL\EchoMimic\src\pipelines\pipeline_echo_mimic.py", line 395, in __call__
    whisper_feature = self.audio_guider.audio2feat(audio_path)
  File "E:\AI_TOOL\EchoMimic\src\models\whisper\audio2feature.py", line 100, in audio2feat
    result = self.model.transcribe(audio_path)
  File "E:\AI_TOOL\EchoMimic\src\models\whisper\whisper\transcribe.py", line 85, in transcribe
    mel = log_mel_spectrogram(audio)
  File "E:\AI_TOOL\EchoMimic\src\models\whisper\whisper\audio.py", line 111, in log_mel_spectrogram
    audio = load_audio(audio)
  File "E:\AI_TOOL\EchoMimic\src\models\whisper\whisper\audio.py", line 42, in load_audio
    ffmpeg.input(file, threads=0)
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\ffmpeg\_run.py", line 313, in run
    process = run_async(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\ffmpeg\_run.py", line 284, in run_async
    return subprocess.Popen(
  File "E:\AI_TOOL\EchoMimic\venv\lib\subprocess.py", line 858, in __init__
    self._execute_child(args, executable, preexec_fn, close_fds,
  File "E:\AI_TOOL\EchoMimic\venv\lib\subprocess.py", line 1311, in _execute_child
    hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
FileNotFoundError: [WinError 2] 系统找不到指定的文件。
Traceback (most recent call last):
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\queueing.py", line 536, in process_events
    response = await route_utils.call_process_api(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\route_utils.py", line 276, in call_process_api
    output = await app.get_blocks().process_api(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\blocks.py", line 1897, in process_api
    result = await self.call_function(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\blocks.py", line 1483, in call_function
    prediction = await anyio.to_thread.run_sync(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\utils.py", line 816, in wrapper
    response = f(*args, **kwargs)
  File "webgui.py", line 238, in generate_video
    final_output_path = process_video(
  File "webgui.py", line 180, in process_video
    video = pipe(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context
    return func(*args, **kwargs)
  File "E:\AI_TOOL\EchoMimic\src\pipelines\pipeline_echo_mimic.py", line 395, in __call__
    whisper_feature = self.audio_guider.audio2feat(audio_path)
  File "E:\AI_TOOL\EchoMimic\src\models\whisper\audio2feature.py", line 100, in audio2feat
    result = self.model.transcribe(audio_path)
  File "E:\AI_TOOL\EchoMimic\src\models\whisper\whisper\transcribe.py", line 85, in transcribe
    mel = log_mel_spectrogram(audio)
  File "E:\AI_TOOL\EchoMimic\src\models\whisper\whisper\audio.py", line 111, in log_mel_spectrogram
    audio = load_audio(audio)
  File "E:\AI_TOOL\EchoMimic\src\models\whisper\whisper\audio.py", line 42, in load_audio
    ffmpeg.input(file, threads=0)
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\ffmpeg\_run.py", line 313, in run
    process = run_async(
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\ffmpeg\_run.py", line 284, in run_async
    return subprocess.Popen(
  File "E:\AI_TOOL\EchoMimic\venv\lib\subprocess.py", line 858, in __init__
    self._execute_child(args, executable, preexec_fn, close_fds,
  File "E:\AI_TOOL\EchoMimic\venv\lib\subprocess.py", line 1311, in _execute_child
    hp, ht, pid, tid = _winapi.CreateProcess(executable, args,
FileNotFoundError: [WinError 2] 系统找不到指定的文件。

kry***

krysan 发表于 2024-8-5 12:46
Traceback (most recent call last):
  File "E:\AI_TOOL\EchoMimic\venv\lib\site-packages\gradio\que ...

不好意思，下载了好几个，也不记得在哪下载的了

jia***

这个好，可以试用一下就好 了