Upload 2 files
Browse files- config.json +13 -9
- xtts2_config.py +29 -18
config.json
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{
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"_name_or_path": "AstraMindAI/xtts2-gpt",
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"architectures": [
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"
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],
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"torch_dtype": "float32",
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"auto_map": {
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"AutoConfig": "AstraMindAI/xtts2-gpt--gpt_config.XTTSGPTConfig",
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"AutoModelForCausalLM": "AstraMindAI/xtts2-gpt--xtts2_gpt_modeling.XttsGPT",
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"AutoTokenizer": "AstraMindAI/xtts2-gpt--tokenizer.XTTSTokenizerFast"
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},
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"audio_config": {
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"fmax": 8000,
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"fmin": 0,
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"sample_rate": 22050,
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"win_length": 1024
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},
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"cond_d_vector_in_each_upsampling_layer": true,
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"d_vector_dim": 512,
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"decoder_input_dim": 1024,
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"_attn_implementation_autoset": false,
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"_name_or_path": "",
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"add_cross_attention": false,
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"architectures":
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"audio_config": {
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"mel_channels": 80,
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"output_sample_rate": 24000,
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"sample_rate": 22050
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},
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"bad_words_ids": null,
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"begin_suppress_tokens": null,
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"bos_token_id": null,
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{
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"architectures": [
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"Xtts"
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],
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"audio_config": {
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"fmax": 8000,
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"fmin": 0,
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"sample_rate": 22050,
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"win_length": 1024
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},
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"auto_map": {
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"AutoConfig": "AstraMindAI/xtts2--xtts2_config.XTTSConfig",
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"AutoModelForCausalLM": "AstraMindAI/xtts2--xtts2_modeling.Xtts",
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"AutoTokenizer": "AstraMindAI/xtts2--tokenizer.XTTSTokenizerFast"
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},
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"cond_d_vector_in_each_upsampling_layer": true,
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"d_vector_dim": 512,
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"decoder_input_dim": 1024,
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"_attn_implementation_autoset": false,
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"_name_or_path": "",
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"add_cross_attention": false,
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"architectures": [
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"XttsGPT"
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],
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"audio_config": {
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"mel_channels": 80,
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"output_sample_rate": 24000,
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"sample_rate": 22050
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},
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"auto_map": {
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"AutoConfig": "AstraMindAI/xtts2-gpt--gpt_config.XTTSGPTConfig",
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"AutoModelForCausalLM": "AstraMindAI/xtts2-gpt--xtts2_gpt_modeling.XttsGPT"
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},
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"bad_words_ids": null,
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"begin_suppress_tokens": null,
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"bos_token_id": null,
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xtts2_config.py
CHANGED
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@@ -13,6 +13,20 @@ class GPTAudioConfig:
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sample_rate: int = 22050
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output_sample_rate: int = 24000
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class XTTSGPTConfig(PretrainedConfig):
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"""Configuration class for the GPT component of XTTS."""
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# Size settings for the decoder
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decoder_input_dim: int = 1024,
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**kwargs
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):
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super().__init__(**kwargs)
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self.audio_config = GPTAudioConfig(
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**audio_config if audio_config is not None else {}
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)
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"""Create a config from a dictionary."""
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return cls(**config_dict)
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@dataclass
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class XTTSAudioConfig:
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"""Configuration for audio processing parameters"""
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sample_rate: int = 22050
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output_sample_rate: int = 24000
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mel_channels: int = 80
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hop_length: int = 256
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win_length: int = 1024
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n_fft: int = 1024
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fmin: int = 0
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fmax: int = 8000
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power: float = 1.0
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mel_norms_file: Optional[str] = None
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class XTTSConfig(PretrainedConfig):
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"""Configuration class for XTTS model components except GPT."""
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# GPT configuration
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gpt_config: Optional[Dict] = None,
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**kwargs
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):
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super().__init__(**kwargs)
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# Initialize audio config
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self.audio_config = XTTSAudioConfig(
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**audio_config if audio_config is not None else {}
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sample_rate: int = 22050
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output_sample_rate: int = 24000
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@dataclass
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class XTTSAudioConfig:
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"""Configuration for audio processing parameters"""
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sample_rate: int = 22050
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output_sample_rate: int = 24000
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mel_channels: int = 80
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hop_length: int = 256
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win_length: int = 1024
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n_fft: int = 1024
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fmin: int = 0
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fmax: int = 8000
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power: float = 1.0
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mel_norms_file: Optional[str] = None
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class XTTSGPTConfig(PretrainedConfig):
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"""Configuration class for the GPT component of XTTS."""
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# Size settings for the decoder
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decoder_input_dim: int = 1024,
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architectures=["XttsGPT"],
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auto_map = {
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"AutoConfig": "AstraMindAI/xtts2-gpt--gpt_config.XTTSGPTConfig",
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"AutoModelForCausalLM": "AstraMindAI/xtts2-gpt--xtts2_gpt_modeling.XttsGPT",
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},
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**kwargs
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):
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super().__init__(**kwargs)
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self.architectures = architectures
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self.auto_map = auto_map
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self.audio_config = GPTAudioConfig(
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**audio_config if audio_config is not None else {}
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)
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"""Create a config from a dictionary."""
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return cls(**config_dict)
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class XTTSConfig(PretrainedConfig):
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"""Configuration class for XTTS model components except GPT."""
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# GPT configuration
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gpt_config: Optional[Dict] = None,
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architectures=["Xtts"],
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auto_map = {
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"AutoConfig": "AstraMindAI/xtts2--xtts2_config.XTTSConfig",
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"AutoModelForCausalLM": "AstraMindAI/xtts2--xtts2_modeling.Xtts",
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"AutoTokenizer": "AstraMindAI/xtts2--tokenizer.XTTSTokenizerFast"
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},
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**kwargs
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):
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super().__init__(**kwargs)
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self.architectures = architectures
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self.auto_map = auto_map
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# Initialize audio config
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self.audio_config = XTTSAudioConfig(
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**audio_config if audio_config is not None else {}
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