Stable Audio Open 1.0
Will it run on your hardware?
Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest
Need an exact figure for your context length? Use the VRAM calculator.
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Deep dive
Notes, sources, and the full write-up
Stable Audio Open 1.0
Stable Audio Open 1.0 is Stability AI's open-source text-to-audio model. It generates variable-length stereo audio at 44.1kHz from text descriptions - from drum loops to sound effects. Based on a latent diffusion transformer (DiT) architecture.
Capabilities
- Variable length - up to 47 seconds
- 44.1kHz stereo - CD-quality output
- Text conditioning - T5-based text embeddings
- Sound effects - excels at SFX and field recordings
- Music loops - drum patterns, instrumentals
Usage
from diffusers import StableAudioPipeline
import torch
import soundfile as sf
pipe = StableAudioPipeline.from_pretrained(
"stabilityai/stable-audio-open-1.0",
torch_dtype=torch.float16
).to("cuda")
audio = pipe(
"128 BPM tech house drum loop",
num_inference_steps=200,
audio_end_in_s=10.0,
).audios
sf.write("output.wav", audio[0].T.float().cpu().numpy(), pipe.vae.sampling_rate)When to use
- Music production - generate drum loops and instrumentals
- Sound design - SFX for games and video
- Content creation - background music for social media
- Audio prototyping - quick audio sketches
Limitations
- No realistic vocals
- English prompts only
- Better at SFX than music
- Requires prompt engineering
Frequently asked
Quick answers to common questions
How much VRAM does Stable Audio Open 1.0 need?
Stable Audio Open 1.0 with 1B parameters needs significant VRAM depending on quantization. Use our VRAM calculator for an exact estimate.
Is Stable Audio Open 1.0 better than other Stable Audio models?
Stable Audio Open 1.0 has 1B parameters with 8,192 context - a strong choice for text-to-audio, music-generation, sound-effects.
What license is Stable Audio Open 1.0 under?
Stable Audio Open 1.0 is released under the Other license, making it suitable for most commercial and personal projects.
What hardware runs Stable Audio Open 1.0 well?
With 1B parameters, Stable Audio Open 1.0 requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.
What is the best quantization for Stable Audio Open 1.0?
Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Step up to Q5_K_M or Q8_0 only if you have spare VRAM. Use our VRAM calculator to compare.
What models compete with Stable Audio Open 1.0?
Stable Audio Open 1.0 competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.
Compare & pair with
Similar models and recommended hardware
Nearby options
Similar models and compatible hardware by spec
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