README.md

metadata

title: Stem-0 DEV (r2c checkpoints)
emoji: 🎚️
colorFrom: blue
colorTo: indigo
sdk: gradio
python_version: '3.12'
sdk_version: 6.2.0
app_file: app.py
startup_duration_timeout: 1h
pinned: false
short_description: Generate the missing stem that fits your audio

Stem-0 · missing-stem generation

Give it an audio context (e.g. drums+bass, or a full instrumental) and it generates the missing stem so that it fits — tempo, key, arrangement. For vocals you supply the lyrics.

Base model: ACE-Step/acestep-v15-xl-base · LoRA: fcolooo/stem-0-r128 (r128, context-contrastive recipe).

ZeroGPU note: the first generation loads ~20 GB of weights onto the GPU and is slow; later ones are fast. Keep steps low while testing — GPU quota is per-day.