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>
8 lines
193 B
Plaintext
8 lines
193 B
Plaintext
# Training-only dependencies (trainer.py, convert2hf_dataset.py).
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# Install with: pip install -e ".[train]"
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datasets==3.4.1
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pytorch_lightning==2.5.1
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matplotlib==3.10.1
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tensorboard
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tensorboardX
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