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", 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:
- cfdeba82f63f56d73a2d0e76edd2e48996281001cb1063e70d06acca89a4e1e1
- Size of remote file:
- 329 kB
- SHA256:
- b1bdf30e3217cfb45db2520c0f3f6312289d997399e7bfbc7287e78c2b0c2c3d
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