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:
- 485b1797df7afc18f44d562ea3c8832f6c14269d45da02f69dc501d7586f628e
- Size of remote file:
- 4.74 MB
- SHA256:
- abba0622501d8cd9c640a726df5da03c124bf966bba98809af620dc2f2681f5f
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