Instructions to use dn6/dummy-audioldm2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dn6/dummy-audioldm2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dn6/dummy-audioldm2", torch_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:
- 42f9ff42e18896922e97965246405de0168ce656be4044332db76a5cea72e296
- Size of remote file:
- 6.78 kB
- SHA256:
- a42bd0f72fd49ad370f03d4762296a49302f74010f692a1a69e4d3bc0696f1a6
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