Running in ~30 s
Pre-cached image, ports mapped, TLS terminated — the stack is working before you finish reading this.
Template · Audio & speech · CUDA 12.4
Run ACE-Step music generation on a cloud GPU, in 30 seconds
The ACE-Step music generation model with a UI and API. ACE-Step generates full songs — vocals, instruments, structure — from text prompts and lyrics. The template exposes the Gradio UI and an API; a mid-range card produces a track in well under a minute. From $0.033/hr on an interruptible RTX 4070.
Template is free
You pay the GPU price only: ACE Step 1.5 on a RTX 4070 is $0.066/hr on-demand, $0.033/hr interruptible, billed per second.
Volumes for state
Models, datasets and outputs live on a $0.08/GB/mo volume; the instance stays disposable.
Private by default
Dedicated GPU, encrypted disk, crypto payments, no KYC, no stored IPs — Jupyter and SSH behind your own credentials.
Best GPUs for ACE Step 1.5
Three price points that run this template well — Good, Better, Best. Every model in the catalogue works; these are the value picks.
| Tier | GPU | VRAM | On-demand | Interruptible | Why this card | Action |
|---|---|---|---|---|---|---|
| Good | RTX 4070 | 12 GB | $0.066 | $0.033 | 12 GB at a low rate for experimentation. | Deploy |
| Better | RTX 4090 | 24 GB | $0.262 | $0.131 | Fast generation and room for higher-quality settings. | Deploy |
| Best | RTX 5090 | 32 GB | $0.318 | $0.159 | 32 GB for batches and longer compositions. | Deploy |
Need more VRAM? The full catalogue lists all 76 models with live availability; the VRAM guide sizes models to cards.
Deploy ACE Step 1.5 from the console, CLI or API
Pick the template in the console deploy bar, or script it:
- Console — filter by GPU, choose ACE Step 1.5 in the template picker, set disk and env, deploy.
- CLI — pip install powergpu, then the command on the right. CLI reference.
- API — POST /v1/instances with "template": "ace-step-1-5". REST reference.
- Own image — any OCI reference works too; we inject the NVIDIA runtime. Template docs.
$ powergpu launch --gpu rtx-4070 --template ace-step-1-5 \
--disk 100 --volume models:/workspace/models
✓ instance i-7a41c0e2 running (27.9s)
# ACE Step 1.5 · RTX 4070 · $0.066/hr · per second
# https://i-7a41c0e2.powergpu.io:8888 (TLS)
$ powergpu stop i-7a41c0e2 # billing ends this secondWhat is inside the ACE Step 1.5 template
| Image | powergpu/acestep |
|---|---|
| CUDA | CUDA 12.4 |
| Access | SSH shell · JupyterLab on a mapped port |
| Category | Audio & speech |
| Storage | Instance NVMe disk (sized at deploy) + optional network volumes |
| Billing | GPU price only, per second — no template fee, no setup fee |
Other audio & speech templates
Whisper WebUI & API on a cloud GPU — Batch-transcribe audio with faster-whisper behind a UI and a REST endpoint.
Voicebox TTS on a cloud GPU — Text-to-speech and voice cloning with a web interface and API.- All 37 templates
ACE Step 1.5 on a cloud GPU: FAQ
Environment variables, ports and custom images are covered in the template docs.
How much does it cost to run ACE Step 1.5 on a cloud GPU?
Only the GPU price — the template is free. From $0.033/hr on an interruptible RTX 4070, $0.066/hr on-demand on a RTX 4070. Billing is per second, so an hour of tinkering costs an hour, not a day. Storage is $0.08/GB/month.
How long does ACE Step 1.5 take to start?
About 30 seconds from the deploy click: the image is pre-cached on hosts, ports are mapped and TLS is terminated for you. Restarting a stopped instance is faster, and your disk is exactly as you left it.
Can I keep my models and outputs between sessions?
Yes — attach a volume at deploy. Everything on the volume survives instance destruction and mounts on the next instance in the region in seconds, at $0.08/GB/month. The instance disk itself survives stop/start but not destroy.
How long does a track take to generate?
A 3-minute song renders in roughly 20–40 seconds on an RTX 4090.