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/audioldm_eval.zip from niobures/AudioLDM: direct link, hf CLI and curl.
- Browser
- Download file 2.36 MB
-
https://huggingface.co/niobures/AudioLDM/resolve/main/code/audioldm_eval.zip
- Command line
-
hf download hf://niobures/AudioLDM/code/audioldm_eval.zip
-
curl -L -o audioldm_eval.zip https://huggingface.co/niobures/AudioLDM/resolve/main/code/audioldm_eval.zip
2.36 MB
- Xet hash:
- ee49a99c335eb2128ff7727307d372bf0ca6ea67ee0bc7e7d6e21c9135dba7cc
- Size of remote file:
- 2.36 MB
- SHA256:
- 3d431424e5345bb4bd1638acac162ef1e38f78eae86cf7ed53af8b465edd6253
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