Leonid PershinandClaude Opus 5
e9ea6b9bab
infer.py could only render a random example from examples/input_params: there was no way to pass your own prompt, lyrics, duration or seed, so using it for anything specific meant writing a separate script. Add --prompt, --lyrics/--lyrics_file, --duration, --steps, --guidance_scale, --scheduler, --cfg_type, --omega_scale, --seed and --format alongside the existing runtime flags. Without --prompt the old random-example behaviour is kept, so existing invocations are unaffected. Also move the training-only packages out of the default install. datasets, pytorch_lightning, matplotlib, tensorboard and tensorboardX are imported by trainer.py and convert2hf_dataset.py, never on the inference path, but every user was installing them — and datasets==3.4.1 is a hard pin that drags constraints onto huggingface-hub. They now live in requirements-train.txt behind the existing (previously ineffective) "train" extra: pip install -e ".[train]". Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
22 lines
286 B
Plaintext
22 lines
286 B
Plaintext
diffusers>=0.33.0
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gradio>=6.0.0
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librosa==0.11.0
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loguru==0.7.3
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numpy
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pypinyin==0.53.0
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soundfile==0.13.1
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torch
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torchaudio
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torchvision
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tqdm
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transformers>=4.57.0
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py3langid==0.3.0
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hangul-romanize==0.1.0
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num2words==0.5.14
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spacy==3.8.4
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accelerate==1.6.0
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cutlet
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fugashi[unidic-lite]
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click
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peft
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