[Bug] Cannot use xtts on CPU #2980

violet17 · 2023-09-21T15:14:05Z

Describe the bug

I use the following script to generate speech with xtts, but find that xtts cannot load to cpu.


 > Using model: xtts
Traceback (most recent call last):
  File "/home/a/crystal/llm/test_xtts_cpu.py", line 6, in <module>
    tts_model = TTS(model_path="./xtts_v1/", config_path="./xtts_v1/config.json", progress_bar=True, gpu=False)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 86, in __init__
    self.load_tts_model_by_path(
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 211, in load_tts_model_by_path
    self.synthesizer = Synthesizer(
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/utils/synthesizer.py", line 93, in __init__
    self._load_tts(tts_checkpoint, tts_config_path, use_cuda)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/utils/synthesizer.py", line 192, in _load_tts
    self.tts_model.load_checkpoint(self.tts_config, tts_checkpoint, eval=True)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/tts/models/xtts.py", line 645, in load_checkpoint
    self.load_state_dict(load_fsspec(model_path)["model"], strict=strict)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/utils/io.py", line 86, in load_fsspec
    return torch.load(f, map_location=map_location, **kwargs)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 809, in load
    return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 1172, in _load
    result = unpickler.load()
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 1142, in persistent_load
    typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 1116, in load_tensor
    wrap_storage=restore_location(storage, location),
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 217, in default_restore_location
    result = fn(storage, location)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 182, in _cuda_deserialize
    device = validate_cuda_device(location)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 166, in validate_cuda_device
    raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

Then I set map_location="cpu" on /home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/utils/io.py.
After that I get:

Traceback (most recent call last):
  File "/home/a/crystal/llm/test_xtts_cpu.py", line 11, in <module>
    tts_model.tts_to_file(text.replace("\n",",").replace(" ","")+"。", language="zh-cn", file_path="audio_out.wav")
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 384, in tts_to_file
    self._check_arguments(speaker=speaker, language=language, speaker_wav=speaker_wav, **kwargs)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 237, in _check_arguments
    if self.is_multi_lingual and language is None:
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 109, in is_multi_lingual
    if "xtts" in self.model_name:
TypeError: argument of type 'NoneType' is not iterable

Then I add

if "xtts" in self.model_path:
            return True

to /home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py line 108.

Run the original scripts, then

Traceback (most recent call last):
  File "/home/a/crystal/llm/test_xtts_cpu.py", line 11, in <module>
    tts_model.tts_to_file(text.replace("\n",",").replace(" ","")+"。", language="zh-cn", file_path="audio_out.wav")
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 386, in tts_to_file
    self._check_arguments(speaker=speaker, language=language, speaker_wav=speaker_wav, **kwargs)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 239, in _check_arguments
    if self.is_multi_lingual and language is None:
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1614, in __getattr__
    raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'TTS' object has no attribute 'is_multi_lingual'

Can you help to fix this issue? Thanks a lot!!!

To Reproduce

from TTS.api import TTS
import time
text = "游客可以登上观光球,欣赏上海全景和周边美景;或者在空中庭院中欣赏美景,感受大自然的气息;或者在旋转餐厅中品尝美食,享受美味与旋转的乐趣"

tts_model = TTS(model_path="./xtts_v1/", config_path="./xtts_v1/config.json", progress_bar=True, gpu=False)
#tts_model = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v1", progress_bar=True, gpu=False)
#print("tts.is_multi_lingual", tts_model.is_multi_lingual)
print("tts_model: ", tts_model)
t1 = time.time()
tts_model.tts_to_file(text.replace("\n",",").replace(" ","")+"。", language="zh-cn", file_path="audio_out.wav")
print("cost time: ", time.time()-t1)

Expected behavior

No response

Logs

No response

Environment

{
    "CUDA": {
        "GPU": [],
        "available": false,
        "version": null
    },
    "Packages": {
        "PyTorch_debug": false,
        "PyTorch_version": "2.0.1a0+cxx11.abi",
        "TTS": "0.17.4",
        "numpy": "1.22.0"
    },
    "System": {
        "OS": "Linux",
        "architecture": [
            "64bit",
            "ELF"
        ],
        "processor": "x86_64",
        "python": "3.9.18",
        "version": "#32~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Fri Aug 18 10:40:13 UTC 2"
    }
}

Additional context

No response

The text was updated successfully, but these errors were encountered:

rouseabout · 2023-09-22T00:08:02Z

Observe the same error running tts from command line:

$ tts --model_name tts_models/multilingual/multi-dataset/xtts_v1 --text "Hello World" --use_cuda False

 > tts_models/multilingual/multi-dataset/xtts_v1 is already downloaded.
 > Using model: xtts
Traceback (most recent call last):
  File "/home/user/env/bin/tts", line 8, in <module>
    sys.exit(main())
             ^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/TTS/bin/synthesize.py", line 401, in main
    synthesizer = Synthesizer(
                  ^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/TTS/utils/synthesizer.py", line 109, in __init__
    self._load_tts_from_dir(model_dir, use_cuda)
  File "/home/user/env/lib/python3.11/site-packages/TTS/utils/synthesizer.py", line 164, in _load_tts_from_dir
    self.tts_model.load_checkpoint(config, checkpoint_dir=model_dir, eval=True)
  File "/home/user/env/lib/python3.11/site-packages/TTS/tts/models/xtts.py", line 645, in load_checkpoint
    self.load_state_dict(load_fsspec(model_path)["model"], strict=strict)
                         ^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/TTS/utils/io.py", line 86, in load_fsspec
    return torch.load(f, map_location=map_location, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 809, in load
    return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 1172, in _load
    result = unpickler.load()
             ^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 1142, in persistent_load
    typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 1116, in load_tensor
    wrap_storage=restore_location(storage, location),
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 217, in default_restore_location
    result = fn(storage, location)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 182, in _cuda_deserialize
    device = validate_cuda_device(location)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 166, in validate_cuda_device
    raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

$ pip list | grep TTS
TTS                       0.17.4

Lenos500 · 2023-09-24T00:44:50Z

Observe the same error running tts from command line:

$ tts --model_name tts_models/multilingual/multi-dataset/xtts_v1 --text "Hello World" --use_cuda False

 > tts_models/multilingual/multi-dataset/xtts_v1 is already downloaded.
 > Using model: xtts
Traceback (most recent call last):
  File "/home/user/env/bin/tts", line 8, in <module>
    sys.exit(main())
             ^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/TTS/bin/synthesize.py", line 401, in main
    synthesizer = Synthesizer(
                  ^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/TTS/utils/synthesizer.py", line 109, in __init__
    self._load_tts_from_dir(model_dir, use_cuda)
  File "/home/user/env/lib/python3.11/site-packages/TTS/utils/synthesizer.py", line 164, in _load_tts_from_dir
    self.tts_model.load_checkpoint(config, checkpoint_dir=model_dir, eval=True)
  File "/home/user/env/lib/python3.11/site-packages/TTS/tts/models/xtts.py", line 645, in load_checkpoint
    self.load_state_dict(load_fsspec(model_path)["model"], strict=strict)
                         ^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/TTS/utils/io.py", line 86, in load_fsspec
    return torch.load(f, map_location=map_location, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 809, in load
    return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 1172, in _load
    result = unpickler.load()
             ^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 1142, in persistent_load
    typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 1116, in load_tensor
    wrap_storage=restore_location(storage, location),
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 217, in default_restore_location
    result = fn(storage, location)
             ^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 182, in _cuda_deserialize
    device = validate_cuda_device(location)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/home/user/env/lib/python3.11/site-packages/torch/serialization.py", line 166, in validate_cuda_device
    raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

$ pip list | grep TTS
TTS                       0.17.4

Did you find any fix?

Lenos500 · 2023-09-24T00:45:11Z

Describe the bug

I use the following script to generate speech with xtts, but find that xtts cannot load to cpu.


 > Using model: xtts
Traceback (most recent call last):
  File "/home/a/crystal/llm/test_xtts_cpu.py", line 6, in <module>
    tts_model = TTS(model_path="./xtts_v1/", config_path="./xtts_v1/config.json", progress_bar=True, gpu=False)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 86, in __init__
    self.load_tts_model_by_path(
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 211, in load_tts_model_by_path
    self.synthesizer = Synthesizer(
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/utils/synthesizer.py", line 93, in __init__
    self._load_tts(tts_checkpoint, tts_config_path, use_cuda)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/utils/synthesizer.py", line 192, in _load_tts
    self.tts_model.load_checkpoint(self.tts_config, tts_checkpoint, eval=True)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/tts/models/xtts.py", line 645, in load_checkpoint
    self.load_state_dict(load_fsspec(model_path)["model"], strict=strict)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/utils/io.py", line 86, in load_fsspec
    return torch.load(f, map_location=map_location, **kwargs)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 809, in load
    return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 1172, in _load
    result = unpickler.load()
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 1142, in persistent_load
    typed_storage = load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 1116, in load_tensor
    wrap_storage=restore_location(storage, location),
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 217, in default_restore_location
    result = fn(storage, location)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 182, in _cuda_deserialize
    device = validate_cuda_device(location)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/serialization.py", line 166, in validate_cuda_device
    raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

Then I set map_location="cpu" on /home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/utils/io.py. After that I get:

Traceback (most recent call last):
  File "/home/a/crystal/llm/test_xtts_cpu.py", line 11, in <module>
    tts_model.tts_to_file(text.replace("\n",",").replace(" ","")+"。", language="zh-cn", file_path="audio_out.wav")
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 384, in tts_to_file
    self._check_arguments(speaker=speaker, language=language, speaker_wav=speaker_wav, **kwargs)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 237, in _check_arguments
    if self.is_multi_lingual and language is None:
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 109, in is_multi_lingual
    if "xtts" in self.model_name:
TypeError: argument of type 'NoneType' is not iterable

Then I add

if "xtts" in self.model_path:
            return True

to /home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py line 108.

Run the original scripts, then

Traceback (most recent call last):
  File "/home/a/crystal/llm/test_xtts_cpu.py", line 11, in <module>
    tts_model.tts_to_file(text.replace("\n",",").replace(" ","")+"。", language="zh-cn", file_path="audio_out.wav")
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 386, in tts_to_file
    self._check_arguments(speaker=speaker, language=language, speaker_wav=speaker_wav, **kwargs)
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/TTS/api.py", line 239, in _check_arguments
    if self.is_multi_lingual and language is None:
  File "/home/a/miniconda3/envs/llm/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1614, in __getattr__
    raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'TTS' object has no attribute 'is_multi_lingual'

Can you help to fix this issue? Thanks a lot!!!

To Reproduce

from TTS.api import TTS import time text = "游客可以登上观光球,欣赏上海全景和周边美景;或者在空中庭院中欣赏美景,感受大自然的气息;或者在旋转餐厅中品尝美食,享受美味与旋转的乐趣"

tts_model = TTS(model_path="./xtts_v1/", config_path="./xtts_v1/config.json", progress_bar=True, gpu=False) #tts_model = TTS(model_name="tts_models/multilingual/multi-dataset/xtts_v1", progress_bar=True, gpu=False) #print("tts.is_multi_lingual", tts_model.is_multi_lingual) print("tts_model: ", tts_model) t1 = time.time() tts_model.tts_to_file(text.replace("\n",",").replace(" ","")+"。", language="zh-cn", file_path="audio_out.wav") print("cost time: ", time.time()-t1)

Expected behavior

No response

Logs

No response

Environment

{
    "CUDA": {
        "GPU": [],
        "available": false,
        "version": null
    },
    "Packages": {
        "PyTorch_debug": false,
        "PyTorch_version": "2.0.1a0+cxx11.abi",
        "TTS": "0.17.4",
        "numpy": "1.22.0"
    },
    "System": {
        "OS": "Linux",
        "architecture": [
            "64bit",
            "ELF"
        ],
        "processor": "x86_64",
        "python": "3.9.18",
        "version": "#32~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Fri Aug 18 10:40:13 UTC 2"
    }
}

Additional context

No response

Did you find any fix?

audioclassify · 2023-09-24T13:50:04Z

The same issue was seen with Ubuntu 22.04.3 LTS running on an 5th gen Intel i7 with no GPU (error: 'Attempting to deserialize object on a CUDA ') with the python file shown at https://github.com/coqui-ai/TTS/#running-a-multi-speaker-and-multi-lingual-model in a venv.

python3 --version
Python 3.10.12

pip3 --version
pip 22.0.2 from /usr/lib/python3/dist-packages/pip (python 3.10)

pip3 install TTS # this would not run with CPU only

However, using https://github.com/coqui-ai/TTS/pkgs/container/tts-cpu with docker runs fine:

sudo docker pull ghcr.io/coqui-ai/tts-cpu:da8b6bbce1040ce8a4a58b959faec14e969294a0

This page explains how to start tts-cpu:

https://tts.readthedocs.io/en/latest/docker_images.html#id4

After starting the docker image and then the server.py app, the TTS server can be seen at:

http://[::1]:5002/

violet17 · 2023-09-24T15:34:57Z

@Lenos500 hi， I think you can try this commit

Lenos500 · 2023-09-24T15:58:47Z

@Lenos500 hi， I think you can try this commit

I already did but with no luck

Lenos500 · 2023-09-24T16:10:13Z

The same issue was seen with Ubuntu 22.04.3 LTS running on an 5th gen Intel i7 with no GPU (error: 'Attempting to deserialize object on a CUDA ') with the python file shown at https://github.com/coqui-ai/TTS/#running-a-multi-speaker-and-multi-lingual-model in a venv.

python3 --version Python 3.10.12

pip3 --version pip 22.0.2 from /usr/lib/python3/dist-packages/pip (python 3.10)

pip3 install TTS # this would not run with CPU only

However, using https://github.com/coqui-ai/TTS/pkgs/container/tts-cpu with docker runs fine:

sudo docker pull ghcr.io/coqui-ai/tts-cpu:da8b6bbce1040ce8a4a58b959faec14e969294a0

This page explains how to start tts-cpu:

https://tts.readthedocs.io/en/latest/docker_images.html#id4

After starting the docker image and then the server.py app, the TTS server can be seen at:

http://[::1]:5002/

So does XTTS run fine on Linux systems with docker installed and tts-cpu? Can you share the exact commands or script you used to run the model successfully using tts-cpu?

erogol · 2023-09-25T08:18:40Z

You need a reference wav file. Please see the docs.
https://tts.readthedocs.io/en/latest/models/xtts.html

Lenos500 · 2023-09-25T10:25:32Z

You need a reference wav file. Please see the docs. https://tts.readthedocs.io/en/latest/models/xtts.html

Explain more

erogol · 2023-09-28T10:08:40Z

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[Bug] Cannot use xtts on CPU #2980

[Bug] Cannot use xtts on CPU #2980

violet17 commented Sep 21, 2023 •

edited

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rouseabout commented Sep 22, 2023

Lenos500 commented Sep 24, 2023

Lenos500 commented Sep 24, 2023

Describe the bug

To Reproduce

Expected behavior

Logs

Environment

Additional context

audioclassify commented Sep 24, 2023

violet17 commented Sep 24, 2023

Lenos500 commented Sep 24, 2023

Lenos500 commented Sep 24, 2023

erogol commented Sep 25, 2023

Lenos500 commented Sep 25, 2023

erogol commented Sep 28, 2023

Lenos500 commented Sep 28, 2023

violet17 commented Oct 9, 2023 •

edited

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Innomen commented Nov 28, 2024

[Bug] Cannot use xtts on CPU #2980

[Bug] Cannot use xtts on CPU #2980

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violet17 commented Sep 21, 2023 • edited Loading

Describe the bug

To Reproduce

Expected behavior

Logs

Environment

Additional context

rouseabout commented Sep 22, 2023

Lenos500 commented Sep 24, 2023

Lenos500 commented Sep 24, 2023

Describe the bug

To Reproduce

Expected behavior

Logs

Environment

Additional context

audioclassify commented Sep 24, 2023

violet17 commented Sep 24, 2023

Lenos500 commented Sep 24, 2023

Lenos500 commented Sep 24, 2023

erogol commented Sep 25, 2023

Lenos500 commented Sep 25, 2023

erogol commented Sep 28, 2023

Lenos500 commented Sep 28, 2023

violet17 commented Oct 9, 2023 • edited Loading

Innomen commented Nov 28, 2024

violet17 commented Sep 21, 2023 •

edited

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violet17 commented Oct 9, 2023 •

edited

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