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:
- 0e65817b8841583c46970828814b539fdd5d0b62dd06e5d542560e313b4ff696
- Size of remote file:
- 89 kB
- SHA256:
- a70f1436cba809d275cd90a9d6ad2d7475d5c2504119a31c180c5a55e592ba36
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