Instructions to use hf-internal-testing/tiny-StableAudioPipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-StableAudioPipeline with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-StableAudioPipeline", 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
- Xet hash:
- d13c404f56209731b82b58809a876daa0388937e5b5f5b2c33677b18cb3974de
- Size of remote file:
- 4.24 MB
- SHA256:
- 0c9cf22d4cfcea98b85cdde1544ea342dd7cec4abee0d3e1320a640195031584
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