Instructions to use niobures/AudioLDM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use niobures/AudioLDM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("niobures/AudioLDM", 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:
- 10eaa2ead25332f7ef2d7fcdf50701a080594224ffd499f6753ec887f96e66ae
- Size of remote file:
- 30.2 kB
- SHA256:
- 938706bfbbf8d76308c7b85efd001ffdab7dc5b92a7681943996ed04331baf2d
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