469914294
commented
2 weeks ago colab上生成语音有错误。 nferring audio for seed=6999: 0% 0/3 [00:00<?, ?steps/s] Traceback (most recent call last): File "/usr/local/lib/python3.10/dist-packages/gradio/queueing.py", line 532, in process_events response = await route_utils.call_process_api( File "/usr/local/lib/python3.10/dist-packages/gradio/route_utils.py", line 276, in call_process_api output = await app.get_blocks().process_api( File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1928, in process_api result = await self.call_function( File "/usr/local/lib/python3.10/dist-packages/gradio/blocks.py", line 1514, in call_function prediction = await anyio.to_thread.run_sync( File "/usr/local/lib/python3.10/dist-packages/anyio/to_thread.py", line 33, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread return await future File "/usr/local/lib/python3.10/dist-packages/anyio/_backends/_asyncio.py", line 807, in run result = context.run(func, args) File "/usr/local/lib/python3.10/dist-packages/gradio/utils.py", line 832, in wrapper response = f(args, **kwargs) File "/content/ChatTTS_colab/webui_mix.py", line 213, in audio_interface seeds = generate_seeds(num_seeds, texts, progress.tqdm) File "/content/ChatTTS_colab/webui_mix.py", line 140, in generate_seeds filename = generate_audio_for_seed(chat, seed, texts, 1, 5, "[oral_2][laugh_0][break_4]", None, 0.3, 0.7, 20) File "/content/ChatTTS_colab/tts_model.py", line 110, in generate_audio_for_seed _params_infer_code = deepcopy(params_infer_code) File "/usr/lib/python3.10/copy.py", line 146, in deepcopy y = copier(x, memo) File "/usr/lib/python3.10/copy.py", line 231, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "/usr/lib/python3.10/copy.py", line 153, in deepcopy y = copier(memo) File "/usr/local/lib/python3.10/dist-packages/torch/_tensor.py", line 86, in deepcopy raise RuntimeError( RuntimeError: Only Tensors created explicitly by the user (graph leaves) support the deepcopy protocol at the moment. If you were attempting to deepcopy a module, this may be because of a torch.nn.utils.weight_norm usage, see https://github.com/pytorch/pytorch/pull/103001
kenic123
qqkk112
6drf21e
Jimi-from-mars
用0.0.6版本的长文本模式测试了几个pt文件以后，突然出现如下错误提示，无法再正常运行，重启也不行。只有彻底删除整个chattts文件夹，重新解压后才能正常运行。这个状况已经出现两次。我的显卡是3060，12G显存，系统是windows 10。参数都没有改动，只有批大小设置为6了。
True 0 种子 <gradio.layouts.tabs.Tab object at 0x00000261C0785940> paragraph 红色联合的战士们欢呼起来，几个人冲到楼下，掀开四二八的旗帜，抬起下面纤小的遗体，做为一个战利品炫耀地举了一段，然后将她高高地扔向大院的铁门，铁门上带尖的金属栅条大部分在武斗初期就被抽走当梭标了，剩下的两条正好挂住了她，那一瞬间，生命似乎又回到了那个柔软的躯体。红色联合的红卫兵们退后一段距离，将那个挂在高处的躯体当靶子练习射击，密集的子弹对她来说已柔和如雨，不再带来任何感觉，她那春藤般的手臂不时轻挥一下，仿佛拂去落在身上的雨滴，直到那颗年轻的头颅被打掉了一半，仅剩的一只美丽的眼睛仍然凝视着一九六七年的蓝天，目光中没有痛苦，只有凝固的激情和渴望。 sentences ['红色联合的战士们欢呼起来，几个人冲到楼下，掀开四二八的旗帜，抬起下面纤小的遗体，做为一个战利品炫耀地举了一段，然后将她高高地扔向大院的铁门，铁门上带尖的金属栅条大部分在武斗初期就被抽走当梭标了，剩下的两条正好挂住了她，那一瞬间，生命似乎又回到了那个柔软的躯体', '。', '红色联合的红卫兵们退后一段距离，将那个挂在高处的躯体当靶子练习射击，密集的子弹对她来说已柔和如雨，不再带来任何感觉，她那春藤般的手臂不时轻挥一下，仿佛拂去落在身上的雨滴，直到那颗年轻的头颅被打掉了一半，仅剩的一只美丽的眼睛仍然凝视着一九六七年的蓝天，目光中没有痛苦，只有凝固的激情和渴望', '。', ''] result ['红色联合的战士们欢呼起来，几个人冲到楼下，掀开四二八的旗帜，抬起下面纤小的遗体，做为一个战利品炫耀地举了一段， 然后将她高高地扔向大院的铁门，铁门上带尖的金属栅条大部分在武斗初期就被抽走当梭标了，剩下的两条正好挂住了她，那一瞬间，生命似乎又回到了那个柔软的躯体。', '红色联合的红卫兵们退后一段距离，将那个挂在高处的躯体当靶子练习射击，密集的子弹对她来说已柔和如雨，不再带来任何感觉，她那春藤般的手臂不时轻挥一下，仿佛拂去落在身上的雨滴，直到那颗年轻的头颅被打掉了一半，仅剩的一只美丽的眼睛仍然凝视着一九六七年的蓝天，目光中没有痛苦，只有凝固的激情和渴望。'] INFO:root:found existing fst: G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\tn\zh_tn_tagger.fst INFO:root: G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\tn\zh_tn_verbalizer.fst INFO:root:skip building fst for zh_normalizer ... INFO:root:found existing fst: G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\tn\zh_tn_tagger.fst INFO:root: G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\tn\zh_tn_verbalizer.fst INFO:root:skip building fst for zh_normalizer ... speaker_type: seed Traceback (most recent call last): File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\gradio\queueing.py", line 521, in process_events response = await route_utils.call_process_api( File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\gradio\route_utils.py", line 276, in call_process_api output = await app.get_blocks().process_api( File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\gradio\blocks.py", line 1945, in process_api result = await self.call_function( File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\gradio\blocks.py", line 1513, in call_function prediction = await anyio.to_thread.run_sync( File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, args) File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\gradio\utils.py", line 831, in wrapper response = f(args, **kwargs) File "G:\AI-test\ChatTTS_colab_offline\webui_mix.py", line 299, in generate_tts_audio raise e File "G:\AI-test\ChatTTS_colab_offline\webui_mix.py", line 280, in generate_tts_audio output_files = generate_audio_for_seed( File "G:\AI-test\ChatTTS_colab_offline\tts_model.py", line 110, in generate_audio_for_seed _params_infer_code = deepcopy(params_infer_code) File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\copy.py", line 146, in deepcopy y = copier(x, memo) File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\copy.py", line 230, in _deepcopy_dict y[deepcopy(key, memo)] = deepcopy(value, memo) File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\copy.py", line 153, in deepcopy y = copier(memo) File "G:\AI-test\ChatTTS_colab_offline\runtime\lib\site-packages\torch_tensor.py", line 86, in deepcopy raise RuntimeError( RuntimeError: Only Tensors created explicitly by the user (graph leaves) support the deepcopy protocol at the moment. If you were attempting to deepcopy a module, this may be because of a torch.nn.utils.weight_norm usage, see https://github.com/pytorch/pytorch/pull/103001