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-colab.zip from niobures/AudioLDM: direct link, hf CLI and curl.
- Browser
- Download file 44.9 kB
-
https://huggingface.co/niobures/AudioLDM/resolve/main/code/audioldm-colab.zip
- Command line
-
hf download hf://niobures/AudioLDM/code/audioldm-colab.zip
-
curl -L -o audioldm-colab.zip https://huggingface.co/niobures/AudioLDM/resolve/main/code/audioldm-colab.zip
44.9 kB
- Xet hash:
- 186d6a5dc2ce482f7cbbe369db70cba742320566c8525f1dad530e1c17e4a5e3
- Size of remote file:
- 44.9 kB
- SHA256:
- c81c8e95631b9e4b1956fd2b7df5f2512bd4c7329e0695f1cfa228d0543c6426
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