- pre-scan all inputs before chunking so ready files stay out of batches\n- start overall progress at the already-finished count\n- count skipped/resumed files correctly in sequential and staged runs\n- keep batches full and log ready/pending counts before starting\n- avoid importing Torch at startup or in cleanup for separation-only runs\n- move TF32 setup into lazy WhisperX model loading\n- detect the GPU through nvidia-smi for the GUI status line
- replace permanent _CUDA_BROKEN flag with CudaOOMError and retry helper
- retry WhisperX with configured settings, then batch=1 without VAD, then once more
- keep the loaded model cached between retries instead of reloading it
- actually pass vad_filter through transcribe() and use it in aligned ASR
- skip only the OOM file in sequential, staged and LRC pipelines
- mark OOM files with oom_skipped / lrc+oom for the summary
- fix staged vocal separation writing input_dir/vocals.wav when convert is off
- route original inputs and resumed files through safe per-file separation
- validate ffmpeg before starting the LRC task
- store source track path in metadata.json and validate it when skipping ready files
- add skip_existing/resume_partial options to config and GUI
- identify lyrics via embedded text, Shazam, then one LRCLIB author search
- keep post-ASR LRCLIB text matching and allow cancelling safely
- recover from CUDA OOM and free VRAM between batch stages
- add overall completed/total file progress bar to GUI and pipelines
