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:
- 33e62f0fe2c5438ac93a5210c366e2ea35230b80b343cb1f74bfe677045ec644
- Size of remote file:
- 4.13 MB
- SHA256:
- ec71252f4ca242f8f161735c40964abd4b3822257505575ec00c1cbb98362d30
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