create_text2music_ui() sorted the saved *_input_params.json files with
int(name.split('_')[1]), which assumes the generated
output_<timestamp>_<idx>_ shape. Output names are user-controlled — via
infer.py --output_path or a save_path from the UI — so any other name
raised ValueError while the Blocks were being built and took the whole
interface down before it could start:
ValueError: invalid literal for int() with base 10: 'base'
Sort by mtime instead. That is what "previous generated input params"
means anyway (newest first) and it works for any filename; a file that
disappears between listdir() and getmtime() sorts last rather than
raising.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
torchaudio 2.11 routes torchaudio.save()/load() through TorchCodec and
ignores the `backend` argument, so every generation died at the save
step with "ImportError: TorchCodec is required for save_with_torchcodec"
after the diffusion had already finished. Reference-audio loading
(audio2audio, repaint, extend) and the training dataset loader hit the
same wall.
soundfile is already a required dependency and covers all four output
formats the UI offers, so use it directly rather than pulling in
TorchCodec and its native FFmpeg stack:
- pipeline_ace_step.save_wav_file(): sf.write(), transposing
(channels, samples) -> (samples, channels); drops the now-unused
torchaudio import
- MusicDCAE.load_audio() and text2music_dataset: sf.read(dtype=float32,
always_2d=True), transposed back to (channels, samples)
torchaudio is still used for Resample/MelScale transforms, which are
unaffected.
Verified end to end: 10s generation on an RTX 3060 in 9.7s, output is
valid non-silent 48kHz stereo; load_audio round-trips it; wav/mp3/ogg/
flac all write and read back.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Gradio was unpinned, so a fresh install pulled Gradio 6, where
gr.Audio no longer accepts show_download_button — the UI crashed on
startup with TypeError. Move forward to Gradio 6 instead of pinning
back to 5:
- requirements: gradio>=6.0.0
- drop the removed show_download_button kwarg (4 call sites)
- requirements: transformers>=4.57.0 — Gradio 6 requires
huggingface-hub>=1.0, which transformers==4.50.0 forbids. Only
UMT5EncoderModel and AutoTokenizer are used, so the bump is safe.
Verified: pip check clean, UI renders and server callbacks work on
gradio 6.26.0 / transformers 5.16.1 / huggingface-hub 1.30.0.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
- Added automatic shape alignment for target_latents and x0
- Handles both shorter (padding) and longer (trimming) cases
- Fixes crash in extend mode with long audio files
- Minimal impact on audio quality (~0.05-0.15 sec)
Resolves issue where extend mode fails with AssertionError
when target_latents shape doesn't match x0 shape after
padding/trimming operations.
Leonid PershinandClaude Opus 5
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