vh
4a4c09177f
Two new audio-generation stacks alongside the TTS slate: ace-step :8210 — Apache 2.0 music generation foundation model (hybrid diffusion + LLM). Lyric-aware multi-minute songs. ~10-12 GB VRAM during inference, A6000-pinned. Custom Dockerfile patches upstream's torch/cu126 resolution bug (--extra-index-url cu126 was falling back to pypi-default cu13 wheels, mismatching torchvision). stable-audio-open :8211 — Stability AI 1.21B latent-diffusion SFX + ambience. Up to 47s clips at 44.1 kHz. ~6 GB VRAM in fp16, A6000-pinned. Custom FastAPI shim around diffusers' StableAudioPipeline (no upstream HTTP server). Dockerfile pins torchsde explicitly — diffusers doesn't pull it as a hard dep but CosineDPMSolverMultistepScheduler needs it.
1.6 KiB
1.6 KiB
ace-step
ACE-Step 1.5 — Apache 2.0 open-source music generation foundation model. Hybrid diffusion + LLM. Generates lyric-aware multi-minute songs (vocals + instrumentation).
| host | irv-ml1 |
| port | 8210 |
| GPU | A6000 (device_ids: ["1"]) |
| VRAM | ~10-12 GB during inference |
| upstream | https://github.com/ace-step/ACE-Step |
| license | Apache 2.0 |
API surface
infer-api.py (FastAPI) exposes:
GET /health— liveness, returns 200 once the process is up (model is lazy-loaded on first /generate).POST /generate— body:ACEStepInputPydantic model with ~27 params (prompt, lyrics, audio_duration, guidance_scale, etc.). Returns{status, output_path, message}.
The container does NOT expose the Gradio UI — we override the upstream
default python3 acestep/gui.py with python3 infer-api.py. If you
want the Gradio UI for ad-hoc experimentation, run a one-off:
ssh irv-ml1 'docker exec -it ace-step python3 acestep/gui.py --server_name 0.0.0.0 --port 7865'
…and port-forward 7865 to your laptop.
Deploy
scripts/elway irv-ml1 --playbook playbooks/deploy-ace-step.yaml
Idempotent. Cold build is ~10-15 min (CUDA + torch + transformers +
spacy + audio deps). First /generate triggers the model download
(~5-10 GB) and warmup (~30-60 s).
Tunables
See .env.example — copy to .env on the host (lives at
/opt/docker/compose/ace-step/.env, gitignored). Common knobs:
ACE_STEP_SHA— pin upstream commitACE_STEP_GPU_DEVICES— GPU indexACE_STEP_*_DIR— bind-mount paths under/worktank/ace-step/