Instructions to use cvssp/audioldm2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cvssp/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("cvssp/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:
- 54cae3a4a3e11cb1d3f5ddf957361d005e602a06a01205b4eaa6ac0498c7e4a3
- Size of remote file:
- 776 MB
- SHA256:
- a4a47b4a637dd58e9edb7b64a06acf37328b7cc3eafb0b8a85df895cc9e45d09
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