compact UI: remove instrumental checkbox, lock steps, scroll fix, timing labels, LoRA+LM same row

default 200 epochs, label with timing info, instant cancel in preprocessing

instant cancel during preprocessing (dont wait for thread to finish)

fix: use librosa instead of torchaudio for VAD (torchcodec not installed), fix audios deprecation

upgrade torch>=2.6 (CLAP needs torch.load fix for CVE-2025-32434)

fix: parse multipart/mixed response from /understand (was expecting JSON, got multipart)

fix LM caption: use poll response data directly, empty body from /job?result=1 was the bug

debug LM caption: log result keys, check nested result, increase fetch timeout to 120s

fix: 5h fixed timeout per file, check total feasibility first

LM captioning: 5h timeout per file, check feasibility before starting

zip download: LoRA adapter + generated captions bundled together

remove lightning dep (not needed, breaks CPU torch index)

wire fast captioning (CLAP+Whisper+VAD) into training, add LM caption checkbox

add fast captioning module (CLAP + faster-whisper + Silero VAD), update deps

random 60s crop at training time (matches Side-Step chunk-duration), remove pre-split chunking

audio-level chunking (not latent), auto-scale epochs for chunk count

chunk latents into ~30s segments for faster CPU training, energy-aware boundaries

default rank 16 for faster CPU training

add credit lines to both tabs

compact Generate Music UI, same layout style as Train tab

move audio upload to left column

skip bare librosa sidecar, let preprocessing faf analysis handle caption fallback

fix adapter save path, smart LM fallback, compact training UI, remove Server Status

cancel, captioning, preprocessing, sidecar upload, elapsed time, GeneratorExit fix

fix review: debug leak, int crash, rank mismatch, 0-byte skip, log cap, understand diag

fix: save PEFT adapter (not full model), remove random suffix from LoRA names, fix epoch cap to 1000

remove XL checkpoint download (OOMKilled build, training uses standard turbo)

fix: save_every_n_epochs=0, add demucs-infer to Dockerfile, debug adapter dir

fix all review issues: dedup sampling/unwrap, thread-safe lock, cleanup, retry, security docs

update README with final state, full pipeline inference, LM generation step

fix inference: add LM generation step, detokenize codes before DiT, full pipeline working

add _is_space flag, block inference during training, understand clone fix

fix understand_audio: clone tensors for inference mode, working on GPU (52s)

add understand_audio (LM reverse), demucs-infer fix, commit refs, dtype fixes

major update: PyTorch inference, Gradio 6, session isolation, /understand captioning

truncate long files to fit cap, show which files truncated/skipped

accept files until total audio cap reached, skip rest with warning

replace per-file cap with total audio cap (30 min max)

add LoRA download button after training (gr.File output, like rvc-beatrice)

remove ace-server understand proxy, captioning stays librosa + txt sidecars

add /understand API endpoint for GGUF audio captioning

SDPA first on Blackwell, FA2 only for Ampere/Hopper, txt caption support

add GPU/CUDA auto-detect, mixed precision, flash_attn, txt caption parser

update defaults: LR 3e-4, rank 32, alpha 2x rank (per Side-Step author)

save only on cancel/finish, max epochs 1000, default 3

add mid/sas analysis modes (Demucs + ensemble), auto-select by dataset size

add auto-captioning (BPM/key/signature via librosa), add librosa+mutagen deps

switch training to standard turbo (11s/epoch), auto-select standard GGUF for LoRA inference

add XL variant mappings to _VARIANT_DIR

fix: train on XL turbo (matches XL GGUF for inference), add XL checkpoint download