Text-to-Audio
Diffusers
Safetensors
StableAudioPipeline
audio
sound-effects
ambient
diffusion
stable-audio
maestraea
Instructions to use AEmotionStudio/stable-audio-open-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AEmotionStudio/stable-audio-open-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AEmotionStudio/stable-audio-open-models", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Download fma_dataset_attribution2.csv from AEmotionStudio/stable-audio-open-models: direct link, hf CLI and curl.
- Browser
- Download file 1.98 MB
-
https://huggingface.co/AEmotionStudio/stable-audio-open-models/resolve/main/fma_dataset_attribution2.csv
- Command line
-
hf download hf://AEmotionStudio/stable-audio-open-models/fma_dataset_attribution2.csv
-
curl -L -o fma_dataset_attribution2.csv https://huggingface.co/AEmotionStudio/stable-audio-open-models/resolve/main/fma_dataset_attribution2.csv
1.98 MB
File too large to display, you can check the raw version instead.