Model file not found in the output path

[bbhxwl]

The Mac computer I am using

raise ValueError(" [!] Model file not found in the output path")
ValueError: [!] Model file not found in the output path

from TTS.api import TTS
print(TTS().list_models())
tts = TTS(model_name='tts_models/multilingual/multi-dataset/your_tts')
tts.tts_to_file(text="你好啊", speaker_wav="/Users/xuzhibin/Downloads/Default_20250130-211643 2.wav", language="zh")

[eginhard]

When you run tts --list_models it should print the location where models are downloaded to at the very end. Could you share the contents of tts_models--multilingual--multi-dataset--your_tts in that folder?

[bbhxwl]

Sorry, I mean at the end of that list it should print something like Path to downloaded models: /home/USER/.local/share/tts. Could you share the contents of /home/USER/.local/share/tts/tts_models--multilingual--multi-dataset--your_tts (adjusting the first part as necessary)?

(yolo11) xuzhibin@xuzhibindeMac-Studio testYolo11 % tts --list_models

Name format: type/language/dataset/model
  1: tts_models/multilingual/multi-dataset/xtts_v2
  2: tts_models/multilingual/multi-dataset/xtts_v1.1
  3: tts_models/multilingual/multi-dataset/your_tts [already downloaded]
  4: tts_models/multilingual/multi-dataset/bark
  5: tts_models/bg/cv/vits
  6: tts_models/cs/cv/vits
  7: tts_models/da/cv/vits
  8: tts_models/et/cv/vits
  9: tts_models/ga/cv/vits
 10: tts_models/en/ek1/tacotron2
 11: tts_models/en/ljspeech/tacotron2-DDC [already downloaded]
 12: tts_models/en/ljspeech/tacotron2-DDC_ph
 13: tts_models/en/ljspeech/glow-tts
 14: tts_models/en/ljspeech/speedy-speech
 15: tts_models/en/ljspeech/tacotron2-DCA
 16: tts_models/en/ljspeech/vits
 17: tts_models/en/ljspeech/vits--neon
 18: tts_models/en/ljspeech/fast_pitch
 19: tts_models/en/ljspeech/overflow
 20: tts_models/en/ljspeech/neural_hmm
 21: tts_models/en/vctk/vits
 22: tts_models/en/vctk/fast_pitch
 23: tts_models/en/sam/tacotron-DDC
 24: tts_models/en/blizzard2013/capacitron-t2-c50
 25: tts_models/en/blizzard2013/capacitron-t2-c150_v2
 26: tts_models/en/multi-dataset/tortoise-v2
 27: tts_models/en/jenny/jenny
 28: tts_models/es/mai/tacotron2-DDC
 29: tts_models/es/css10/vits
 30: tts_models/fr/mai/tacotron2-DDC
 31: tts_models/fr/css10/vits
 32: tts_models/uk/mai/glow-tts
 33: tts_models/uk/mai/vits
 34: tts_models/zh-CN/baker/tacotron2-DDC-GST
 35: tts_models/nl/mai/tacotron2-DDC
 36: tts_models/nl/css10/vits
 37: tts_models/de/thorsten/tacotron2-DCA
 38: tts_models/de/thorsten/vits
 39: tts_models/de/thorsten/tacotron2-DDC
 40: tts_models/de/css10/vits-neon
 41: tts_models/ja/kokoro/tacotron2-DDC
 42: tts_models/tr/common-voice/glow-tts
 43: tts_models/it/mai_female/glow-tts
 44: tts_models/it/mai_female/vits
 45: tts_models/it/mai_male/glow-tts
 46: tts_models/it/mai_male/vits
 47: tts_models/ewe/openbible/vits
 48: tts_models/hau/openbible/vits
 49: tts_models/lin/openbible/vits
 50: tts_models/tw_akuapem/openbible/vits
 51: tts_models/tw_asante/openbible/vits
 52: tts_models/yor/openbible/vits
 53: tts_models/hu/css10/vits
 54: tts_models/el/cv/vits
 55: tts_models/fi/css10/vits
 56: tts_models/hr/cv/vits
 57: tts_models/lt/cv/vits
 58: tts_models/lv/cv/vits
 59: tts_models/mt/cv/vits
 60: tts_models/pl/mai_female/vits
 61: tts_models/pt/cv/vits
 62: tts_models/ro/cv/vits
 63: tts_models/sk/cv/vits
 64: tts_models/sl/cv/vits
 65: tts_models/sv/cv/vits
 66: tts_models/ca/custom/vits
 67: tts_models/fa/custom/glow-tts
 68: tts_models/bn/custom/vits-male
 69: tts_models/bn/custom/vits-female
 70: tts_models/be/common-voice/glow-tts

Name format: type/language/dataset/model
  1: vocoder_models/universal/libri-tts/wavegrad
  2: vocoder_models/universal/libri-tts/fullband-melgan
  3: vocoder_models/en/ek1/wavegrad
  4: vocoder_models/en/librispeech100/wavlm-hifigan
  5: vocoder_models/en/librispeech100/wavlm-hifigan_prematched
  6: vocoder_models/en/ljspeech/multiband-melgan
  7: vocoder_models/en/ljspeech/hifigan_v2 [already downloaded]
  8: vocoder_models/en/ljspeech/univnet
  9: vocoder_models/en/blizzard2013/hifigan_v2
 10: vocoder_models/en/vctk/hifigan_v2
 11: vocoder_models/en/sam/hifigan_v2
 12: vocoder_models/nl/mai/parallel-wavegan
 13: vocoder_models/de/thorsten/wavegrad
 14: vocoder_models/de/thorsten/fullband-melgan
 15: vocoder_models/de/thorsten/hifigan_v1
 16: vocoder_models/ja/kokoro/hifigan_v1
 17: vocoder_models/uk/mai/multiband-melgan
 18: vocoder_models/tr/common-voice/hifigan
 19: vocoder_models/be/common-voice/hifigan

Name format: type/language/dataset/model
  1: voice_conversion_models/multilingual/vctk/freevc24
  2: voice_conversion_models/multilingual/multi-dataset/knnvc
  3: voice_conversion_models/multilingual/multi-dataset/openvoice_v1
  4: voice_conversion_models/multilingual/multi-dataset/openvoice_v2

Path to downloaded models: /Users/xuzhibin/Library/Application Support/tts

[bbhxwl]

/Users/xuzhibin/Library/Application Support/tts

[bbhxwl]

Sorry, I mean at the end of that list it should print something like Path to downloaded models: /home/USER/.local/share/tts. Could you share the contents of /home/USER/.local/share/tts/tts_models--multilingual--multi-dataset--your_tts (adjusting the first part as necessary)?

[eginhard]

Usually Coqui should unzip the file for you, but for some reason this didn't happen. You can unzip it yourself and then it should work. But note that that model doesn't support Chinese - only English, French and Portuguese.

[bbhxwl]

Usually Coqui should unzip the file for you, but for some reason this didn't happen. You can unzip it yourself and then it should work. But note that that model doesn't support Chinese - only English, French and Portuguese.

Is there any support for Chinese? And by the way, can I modify the default location? He seems unable to relieve stress. I also received a manual prompt that I couldn't decompress, and I don't know the reason.

[eginhard]

The XTTS model supports Chinese. For changing the download location, see https://coqui-tts.readthedocs.io/en/latest/faq.html#where-does-coqui-store-downloaded-models

[bbhxwl]

The XTTS model supports Chinese. For changing the download location, see https://coqui-tts.readthedocs.io/en/latest/faq.html#where-does-coqui-store-downloaded-models

If using a sound clone continuously, is this method used every time? Does he always load the original WAV file? What is the most efficient solution?

tts.tts_to_file(text="声音克隆，这个声音像我么？", speaker_wav="2.wav", language="zh")

[eginhard]

You can store the latents and speaker embedding instead of reloading the wav file every time: https://coqui-tts.readthedocs.io/en/latest/models/xtts.html#id5