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:
- 803072137f5b58abb3b7a32217ffb2d98f12d6baf9e334f16a6507a7a968972b
- Size of remote file:
- 50.2 kB
- SHA256:
- 9ecb0e9e52d6edd2bcacffa3a310dadb143e1428d6577ae98e76abf7c9e7ec87
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