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:
- 58f23539f8ed82a36dca0f92ed6394adc1a47ccdd99fe24f71efe71d698ffdee
- Size of remote file:
- 1.43 MB
- SHA256:
- 4c9613d53eaefdd2855fe93a32e788023c94245931e06285ff99d6c4bbabfd7c
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