Stable Audio

Stable Audio is a web-based generative AI tool for creating original music and sound effects from text prompts or uploaded audio. Commercial and non-commercial licensing options available.

AI Music Generator

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Overview

Stable Audio is a generative AI product for making original music and sound effects. It supports both text-to-audio generation and audio-to-audio workflows, letting users describe what they want in text or upload audio to guide the result.

The product is aimed at beginners and experienced creators who need audio for commercial or non-commercial projects. The site says generated tracks can be used commercially on paid tiers, and the pricing page outlines separate personal, creator, and enterprise license options.

Features

Text-to-audio generation

Generate music and sound effects from text prompts, with guidance in the user guide on how prompt structure affects results.

Audio-to-audio workflow

Use uploaded audio to steer the generation process toward a desired music or sound effects outcome.

Long-form audio output

Create tracks up to 6 minutes long on paid tiers, with shorter cropped outputs on the free plan.

Plan-based licensing

Use the service for commercial or non-commercial projects, with license terms that vary by plan.

Usage documentation

Access guidance on prompts, interface basics, and model training notes through the user guide and FAQs.

Tiered usage limits

Choose a tier based on monthly generation and upload allowances, from free through Pro, Studio, and Max plans.

Use Cases

Prompt-based composition
Write a text prompt to generate an original music cue or sound effect when you already know the mood, style, or instrumentation you want.
Reference-driven audio generation
Upload a reference clip and use it to guide the AI toward a related sound or arrangement when you want to iterate from existing audio.
Commercial content production
Use the service for content that needs licensed audio, such as social posts, podcasts, videos, or releases, depending on the plan and license type.
Product evaluation and prototyping
Evaluate Stable Audio on the free tier before upgrading, using the monthly generation limit and upload allowance to test the workflow.
Enterprise deployment planning
Work with the enterprise option when you need deployment flexibility, customization, and implementation support for larger organizations.

Pros and Cons

Pros

Supports both text prompts and audio-guided generation.
Can generate original music and sound effects for a range of projects.
Offers a free tier plus paid plans with higher monthly limits.
Includes clear licensing options for personal, creator, and enterprise use.
Provides user guide material for prompts, interface basics, and workflow guidance.

Cons

Commercial use requires a paid subscription rather than the free tier.
The free plan is limited to 10 track generations per month and cropped outputs.
Unused monthly generations do not roll over.
Uploaded audio is checked for copyright issues and may be deleted if it fails the scan.

FAQ

What is Stable Audio used for?

Stable Audio is a generative AI website for creating original music and sound effects from text prompts, and it also supports audio-to-audio workflows that use uploaded audio to guide generation.

How many tracks can I generate?

The free plan includes 10 track generations per month with Stable Audio 2.5. Paid plans increase the monthly generation limit and are required for commercial use of generated tracks.

Is each generated audio file unique?

No. The FAQ says every generation is unique, so you should not expect the same audio file twice.

Can I cancel my subscription and keep using the audio?

Yes. You can cancel at any time through your account and billing settings. Pro and higher tier audio remains covered by the original license after cancellation, subject to the applicable usage rights.

What happens when I upload audio?

The user guide says uploaded audio is scanned for copyright issues, and files that fail the check are deleted. It also says uploaded audio is not added to the model training dataset.