Generate studio-quality music 15× faster with breakthrough diffusion technology.

Who it's for: creators who want this pipeline in ComfyUI without assembling nodes from scratch. Not for: one-click results with zero tuning — you still choose inputs, prompts, and settings.

Open preloaded workflow on RunComfy

Open preloaded workflow on RunComfy (browser)

Why RunComfy first
- Fewer missing-node surprises — run the graph in a managed environment before you mirror it locally.
- Quick GPU tryout — useful if your local VRAM or install time is the bottleneck.
- Matches the published JSON — the zip follows the same runnable workflow you can open on RunComfy.

When downloading for local ComfyUI makes sense — you want full control over models on disk, batch scripting, or offline runs.

How to use (local ComfyUI)
1. Load inputs (images/video/audio) in the marked loader nodes.
2. Set prompts, resolution, and seeds; start with a short test run.
3. Export from the Save / Write nodes shown in the graph.

Expectations — First run may pull large weights; cloud runs may require a free RunComfy account.

Overview

ACE-Step is a breakthrough open-source foundation model for music generation that bridges the gap between generation speed and musical quality. By integrating diffusion-based generation with Sana's Deep Compression AutoEncoder and a lightweight linear transformer, it synthesizes up to 4 minutes of high-quality music in just 20 seconds—15× faster than LLM-based alternatives. The model excels at maintaining musical coherence while offering advanced control over lyrics, voice cloning, and remixing capabilities.

Important nodes:

• TextEncodeAceStepAudio

• KSampler

• EmptyAceStepLatentAudio

• SaveAudio

• lyrics_strength

• control_after_generate

• filename_prefix

Notes

ACE-Step Music Generation Model in ComfyUI | AI Audio Creation — see RunComfy page for the latest node requirements.