STABLE-AUDIO
Stable Audio 2.5 Audio-to-Audio transforms existing audio into new versions using text prompts, allowing you to modify style, instruments, and effects while keeping the original structure.
Avg Run Time: 15.000s
Model Slug: stable-audio-2-5-audio-to-audio
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Output
Example Result
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API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
stable-audio-2-5-audio-to-audio — Voice-to-Voice AI Model
Transform any existing audio clip into a completely new version with stable-audio-2-5-audio-to-audio, Stability's advanced voice-to-voice AI model from the stable-audio family. This model lets you reshape style, swap instruments, add effects, or alter mood using simple text prompts, all while preserving the original rhythm, structure, and timing—perfect for creators seeking precise audio remixing without starting from scratch.
Developed by Stability, stable-audio-2-5-audio-to-audio excels in audio-to-audio generation, enabling users to input a music track or voice recording and output a reimagined version guided by prompts like "add jazzy saxophone and reverb while keeping the drum beat." Ideal for music producers searching for "Stability voice-to-voice" tools or "audio remix AI," it delivers high-fidelity results up to several minutes long, making it a go-to for dynamic sound design.
Technical Specifications
What Sets stable-audio-2-5-audio-to-audio Apart
stable-audio-2-5-audio-to-audio stands out in the voice-to-voice AI landscape by maintaining exact structural fidelity from input audio, unlike many models that regenerate from text alone. This allows seamless style transfers where the original tempo and phrasing stay intact, enabling users to experiment with genres or effects without retraining or losing core elements.
It supports extended durations up to 3 minutes for full tracks, far exceeding short-clip competitors, with output in standard WAV formats at high sample rates like 44.1kHz. Music producers benefit from this by creating production-ready remixes quickly, often in under a minute of processing time.
- Precise structure preservation: Locks in input timing and beats for authentic remixing, letting you pivot styles like turning rock into orchestral without drift.
- Multi-instrument text control: Swap or layer specific elements via prompts, such as "replace guitar with synths and add echo," for targeted edits other audio AIs can't match reliably.
- High-fidelity diffusion tech: Uses hierarchical latent diffusion from the stable-audio family for cleaner, artifact-free outputs ideal for professional workflows.
For developers integrating "stable-audio-2-5-audio-to-audio API," these features provide verifiable advantages in consistency and length over generic text-to-audio tools.
Key Considerations
- The strength parameter controls how much the output resembles the original audio versus the prompt; lower values preserve more of the input, higher values allow greater transformation
- Guidance scale affects how strictly the output matches the prompt text; higher values yield closer adherence but may reduce naturalness
- Number of inference steps impacts quality and generation time; more steps can improve detail but increase latency
- Prompt specificity is crucial for targeted results; vague prompts may yield generic outputs
- Audio duration should be set thoughtfully; longer clips require more resources and may introduce artifacts if not managed carefully
- Seed parameter enables reproducibility for iterative refinement
Tips & Tricks
How to Use stable-audio-2-5-audio-to-audio on Eachlabs
Access stable-audio-2-5-audio-to-audio seamlessly on Eachlabs via the Playground for instant testing, API for production apps, or SDK for custom integrations. Upload your audio input, craft a descriptive text prompt specifying style changes, set duration up to 3 minutes, and generate high-fidelity WAV outputs in seconds—perfect for voice-to-voice workflows with precise control over instruments and effects.
---Capabilities
- Transforms existing audio into new styles, genres, or moods while retaining core structure
- Supports multi-instrument and multi-genre adaptation via text prompts
- Generates high-fidelity, artifact-free audio suitable for professional use
- Enables rapid prototyping and creative experimentation for musicians and sound designers
- Adapts to a wide range of audio types, from music tracks to soundscapes and voice recordings
- Offers advanced editing features for tempo, instrumentation, and mixing
What Can I Use It For?
Use Cases for stable-audio-2-5-audio-to-audio
Music producers can input a demo vocal track and use stable-audio-2-5-audio-to-audio to generate variations like "enhance with soulful backing vocals and vinyl crackle," retaining the original melody for rapid prototyping of album tracks without full resynthesis.
Content creators searching for "voice-to-voice AI model" tools repurpose podcast audio by prompting "convert speech to dramatic narration with orchestral swells," keeping pacing intact to produce engaging audiobooks or trailers efficiently for platforms like YouTube.
Developers building "Stability voice-to-voice" apps feed user-uploaded clips into the model for real-time style experiments, such as "add electronic beats to acoustic guitar," enabling interactive music apps with consistent structure preservation across sessions.
Sound designers for games or films input ambient field recordings and remix with "intensify tension with low synth drones and distant echoes," leveraging the model's long-duration support to craft immersive, layered effects tailored to scene needs.
Things to Be Aware Of
- Some users report that highly complex or layered input audio may result in less predictable transformations
- The model may introduce subtle artifacts if parameters are set to extremes or if input audio is noisy
- Performance is highly dependent on hardware; best results achieved on high-end GPUs
- Consistency across runs can vary unless the seed parameter is fixed
- Positive feedback highlights the model’s speed, fidelity, and creative flexibility
- Common concerns include occasional loss of musical nuance and over-simplification of complex tracks
- Experimental features such as multi-track separation are still being refined and may not be fully reliable
- Resource requirements can be significant for long or high-resolution audio clips
Limitations
- May not fully preserve intricate musical details in highly complex input audio
- Not optimal for real-time live audio transformation due to processing latency
- Limited transparency regarding model parameters and training data specifics
Pricing
Pricing Detail
This model runs at a cost of $0.20 per execution.
Pricing Type: Fixed
The cost remains the same regardless of which model you use or how long it runs. There are no variables affecting the price. It is a set, fixed amount per run, as the name suggests. This makes budgeting simple and predictable because you pay the same fee every time you execute the model.
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