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-with-LoRA.zip from niobures/AudioLDM: direct link, hf CLI and curl.
- Browser
- Download file 66.5 MB
-
https://huggingface.co/niobures/AudioLDM/resolve/main/code/AudioLDM-with-LoRA.zip
- Command line
-
hf download hf://niobures/AudioLDM/code/AudioLDM-with-LoRA.zip
-
curl -L -o AudioLDM-with-LoRA.zip https://huggingface.co/niobures/AudioLDM/resolve/main/code/AudioLDM-with-LoRA.zip
66.5 MB
- Xet hash:
- afdc5b6ca76035d4cbdebd019c562ba872f306b5542b5da31729f7ceb6e85337
- Size of remote file:
- 66.5 MB
- SHA256:
- 15f8a018cb2ccd25a43d2a7be66d12c5daccfa6a0a8639d15b36ca293e6bd0fd
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