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import random |
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import sys |
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from importlib.resources import files |
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import soundfile as sf |
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import tqdm |
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from cached_path import cached_path |
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from hydra.utils import get_class |
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from omegaconf import OmegaConf |
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from f5_tts.infer.utils_infer import ( |
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load_model, |
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load_vocoder, |
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transcribe, |
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preprocess_ref_audio_text, |
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infer_process, |
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remove_silence_for_generated_wav, |
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save_spectrogram, |
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) |
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from f5_tts.model.utils import seed_everything |
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class F5TTS: |
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def __init__( |
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self, |
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model="F5TTS_v1_Base", |
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ckpt_file="", |
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vocab_file="", |
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ode_method="euler", |
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use_ema=True, |
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vocoder_local_path=None, |
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device=None, |
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hf_cache_dir=None, |
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): |
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model_cfg = OmegaConf.load(str(files("f5_tts").joinpath(f"configs/{model}.yaml"))) |
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model_cls = get_class(f"f5_tts.model.{model_cfg.model.backbone}") |
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model_arc = model_cfg.model.arch |
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self.mel_spec_type = model_cfg.model.mel_spec.mel_spec_type |
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self.target_sample_rate = model_cfg.model.mel_spec.target_sample_rate |
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self.ode_method = ode_method |
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self.use_ema = use_ema |
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if device is not None: |
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self.device = device |
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else: |
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import torch |
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self.device = ( |
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"cuda" |
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if torch.cuda.is_available() |
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else "xpu" |
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if torch.xpu.is_available() |
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else "mps" |
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if torch.backends.mps.is_available() |
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else "cpu" |
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) |
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self.vocoder = load_vocoder( |
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self.mel_spec_type, vocoder_local_path is not None, vocoder_local_path, self.device, hf_cache_dir |
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) |
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repo_name, ckpt_step, ckpt_type = "F5-TTS", 1250000, "safetensors" |
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if model == "F5TTS_Base": |
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if self.mel_spec_type == "vocos": |
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ckpt_step = 1200000 |
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elif self.mel_spec_type == "bigvgan": |
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model = "F5TTS_Base_bigvgan" |
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ckpt_type = "pt" |
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elif model == "E2TTS_Base": |
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repo_name = "E2-TTS" |
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ckpt_step = 1200000 |
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if not ckpt_file: |
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ckpt_file = str( |
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cached_path(f"hf://SWivid/{repo_name}/{model}/model_{ckpt_step}.{ckpt_type}", cache_dir=hf_cache_dir) |
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) |
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self.ema_model = load_model( |
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model_cls, model_arc, ckpt_file, self.mel_spec_type, vocab_file, self.ode_method, self.use_ema, self.device |
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) |
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def transcribe(self, ref_audio, language=None): |
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return transcribe(ref_audio, language) |
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def export_wav(self, wav, file_wave, remove_silence=False): |
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sf.write(file_wave, wav, self.target_sample_rate) |
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if remove_silence: |
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remove_silence_for_generated_wav(file_wave) |
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def export_spectrogram(self, spec, file_spec): |
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save_spectrogram(spec, file_spec) |
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def infer( |
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self, |
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ref_file, |
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ref_text, |
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gen_text, |
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show_info=print, |
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progress=tqdm, |
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target_rms=0.1, |
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cross_fade_duration=0.15, |
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sway_sampling_coef=-1, |
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cfg_strength=2, |
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nfe_step=32, |
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speed=1.0, |
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fix_duration=None, |
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remove_silence=False, |
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file_wave=None, |
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file_spec=None, |
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seed=None, |
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): |
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if seed is None: |
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seed = random.randint(0, sys.maxsize) |
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seed_everything(seed) |
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self.seed = seed |
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ref_file, ref_text = preprocess_ref_audio_text(ref_file, ref_text) |
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wav, sr, spec = infer_process( |
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ref_file, |
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ref_text, |
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gen_text, |
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self.ema_model, |
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self.vocoder, |
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self.mel_spec_type, |
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show_info=show_info, |
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progress=progress, |
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target_rms=target_rms, |
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cross_fade_duration=cross_fade_duration, |
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nfe_step=nfe_step, |
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cfg_strength=cfg_strength, |
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sway_sampling_coef=sway_sampling_coef, |
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speed=speed, |
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fix_duration=fix_duration, |
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device=self.device, |
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) |
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if file_wave is not None: |
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self.export_wav(wav, file_wave, remove_silence) |
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if file_spec is not None: |
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self.export_spectrogram(spec, file_spec) |
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return wav, sr, spec |
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if __name__ == "__main__": |
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f5tts = F5TTS() |
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wav, sr, spec = f5tts.infer( |
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ref_file=str(files("f5_tts").joinpath("infer/examples/basic/basic_ref_en.wav")), |
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ref_text="some call me nature, others call me mother nature.", |
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gen_text="""I don't really care what you call me. I've been a silent spectator, watching species evolve, empires rise and fall. But always remember, I am mighty and enduring. Respect me and I'll nurture you; ignore me and you shall face the consequences.""", |
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file_wave=str(files("f5_tts").joinpath("../../tests/api_out.wav")), |
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file_spec=str(files("f5_tts").joinpath("../../tests/api_out.png")), |
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seed=None, |
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) |
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print("seed :", f5tts.seed) |
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