Instructions to use jeffreyCheung/audioldm2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jeffreyCheung/audioldm2-large with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jeffreyCheung/audioldm2-large", 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:
- 0f840316a8d1b4dca30521b85468071c7d97c1e0080b83649d7d7b686405db4e
- Size of remote file:
- 498 MB
- SHA256:
- ca0febb7670925080c1737a3b36689cea7aefe48c2b45d2321f2ba0bbcbf08fc
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