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:
- ae9a7ab645cd79be4dcca8c981f9b01f35677990a5efbda0bfe3001a0ec7793e
- Size of remote file:
- 4.2 MB
- SHA256:
- d8268c87f176706b457e9781892a7d9be4acc2fcdb08ab8c5362b28ad43c556b
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