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Move hifigan to XTTS_v1.1

This commit is contained in:
Edresson Casanova 2023-10-06 15:25:28 -03:00
parent 0520697b5f
commit 771360d4a2
3 changed files with 17 additions and 4 deletions
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13
TTS/.models.json
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@ -4,6 +4,19 @@
"multi-dataset": {
"xtts_v1": {
"description": "XTTS-v1 by Coqui with 13 languages and cross-language voice cloning.",
"hf_url": [
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/model.pth",
"https://huggingface.co/coqui/XTTS-v1/resolve/xtts_v1/config.json",
"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/vocab.json"
],
"default_vocoder": null,
"commit": "e5140314",
"license": "CPML",
"contact": "info@coqui.ai",
"tos_required": true
},
"xtts_v1.1": {
"description": "XTTS-v1.1 by Coqui with 13 languages and cross-language voice cloning with faster inference and streaming support.",
"hf_url": [
"https://huggingface.co/coqui/XTTS-v1/resolve/hifigan/model.pth",
"https://huggingface.co/coqui/XTTS-v1/resolve/hifigan/config.json",

4
TTS/tts/models/xtts.py
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@ -203,7 +203,7 @@ class XttsArgs(Coqpit):
clvp_checkpoint (str, optional): The checkpoint for the ConditionalLatentVariablePerseq model. Defaults to None.
decoder_checkpoint (str, optional): The checkpoint for the DiffTTS model. Defaults to None.
num_chars (int, optional): The maximum number of characters to generate. Defaults to 255.
use_hifigan (bool, optional): Whether to use hifigan or diffusion + univnet as a decoder. Defaults to True.
use_hifigan (bool, optional): Whether to use hifigan or diffusion + univnet as a decoder. Defaults to False.
For GPT model:
ar_max_audio_tokens (int, optional): The maximum mel tokens for the autoregressive model. Defaults to 604.
@ -238,7 +238,7 @@ class XttsArgs(Coqpit):
clvp_checkpoint: str = None
decoder_checkpoint: str = None
num_chars: int = 255
use_hifigan: bool = True
use_hifigan: bool = False
# XTTS GPT Encoder params
tokenizer_file: str = ""

4
docs/source/models/xtts.md
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@ -33,7 +33,7 @@ You can also mail us at info@coqui.ai.
```python
from TTS.api import TTS
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1", gpu=True)
tts = TTS("tts_models/multilingual/multi-dataset/xtts_v1.1", gpu=True)
# generate speech by cloning a voice using default settings
tts.tts_to_file(text="It took me quite a long time to develop a voice, and now that I have it I'm not going to be silent.",
@ -45,7 +45,7 @@ tts.tts_to_file(text="It took me quite a long time to develop a voice, and now t
#### 🐸TTS Command line
```console
tts --model_name tts_models/multilingual/multi-dataset/xtts_v1 \
tts --model_name tts_models/multilingual/multi-dataset/xtts_v1.1 \
--text "Bugün okula gitmek istemiyorum." \
--speaker_wav /path/to/target/speaker.wav \
--language_idx tr \