Instructions to use niobures/AudioLDM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use niobures/AudioLDM with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("niobures/AudioLDM", 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
Download code/audioldm2 (AudioLDM).zip from niobures/AudioLDM: direct link, hf CLI and curl.
- Browser
- Download file 512 MB
-
https://huggingface.co/niobures/AudioLDM/resolve/main/code/audioldm2%20(AudioLDM).zip
- Command line
-
hf download 'hf://niobures/AudioLDM/code/audioldm2 (AudioLDM).zip'
-
curl -L -o 'audioldm2 (AudioLDM).zip' 'https://huggingface.co/niobures/AudioLDM/resolve/main/code/audioldm2%20(AudioLDM).zip'
512 MB
- Xet hash:
- 596fde02883ac8383aaeb7186b23d99f5982e1b61e4ee3701bd1633d4093527a
- Size of remote file:
- 512 MB
- SHA256:
- d5c6e1dd1686035e2a71e9311aed1ba40b477da5e3e6b92254fbd939fd3918b0
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