mirror of https://github.com/coqui-ai/TTS.git
Bug fix on XTTS v1.1 inference (#3093)
* Bug fix on XTTS v1.1 inference * Update .models.json --------- Co-authored-by: Julian Weber <julian.weber@hotmail.fr>
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@ -18,12 +18,12 @@
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"xtts_v1.1": {
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"description": "XTTS-v1.1 by Coqui with 14 languages, cross-language voice cloning and reference leak fixed.",
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"hf_url": [
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"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1/model.pth",
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"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1/config.json",
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"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1/vocab.json",
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"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1/hash.md5"
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"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.1/model.pth",
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"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.1/config.json",
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"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.1/vocab.json",
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"https://coqui.gateway.scarf.sh/hf-coqui/XTTS-v1/v1.1.1/hash.md5"
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],
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"model_hash": "10163afc541dc86801b33d1f3217b456",
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"model_hash": "ae9e4b39e095fd5728fe7f7931ec66ad",
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"default_vocoder": null,
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"commit": "82910a63",
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"license": "CPML",
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@ -78,13 +78,13 @@ class XttsConfig(BaseTTSConfig):
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)
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# inference params
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temperature: float = 0.2
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temperature: float = 0.85
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length_penalty: float = 1.0
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repetition_penalty: float = 2.0
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top_k: int = 50
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top_p: float = 0.8
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top_p: float = 0.85
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cond_free_k: float = 2.0
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diffusion_temperature: float = 1.0
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num_gpt_outputs: int = 16
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num_gpt_outputs: int = 1
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decoder_iterations: int = 30
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decoder_sampler: str = "ddim"
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@ -821,8 +821,6 @@ class Xtts(BaseTTS):
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self.tokenizer = VoiceBpeTokenizer(vocab_file=vocab_path)
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self.init_models()
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if eval:
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self.gpt.init_gpt_for_inference(kv_cache=self.args.kv_cache)
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checkpoint = load_fsspec(model_path, map_location=torch.device("cpu"))["model"]
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ignore_keys = ["diffusion_decoder", "vocoder"] if self.args.use_hifigan or self.args.use_ne_hifigan else []
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@ -831,6 +829,13 @@ class Xtts(BaseTTS):
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for key in list(checkpoint.keys()):
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if key.split(".")[0] in ignore_keys:
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del checkpoint[key]
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# deal with v1 and v1.1. V1 has the init_gpt_for_inference keys, v1.1 do not
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try:
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self.load_state_dict(checkpoint, strict=strict)
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except:
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if eval:
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self.gpt.init_gpt_for_inference(kv_cache=self.args.kv_cache)
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self.load_state_dict(checkpoint, strict=strict)
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if eval:
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