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/SDEdit-AudioLDM2.zip from niobures/AudioLDM: direct link, hf CLI and curl.
- Browser
- Download file 2.87 MB
-
https://huggingface.co/niobures/AudioLDM/resolve/main/code/SDEdit-AudioLDM2.zip
- Command line
-
hf download hf://niobures/AudioLDM/code/SDEdit-AudioLDM2.zip
-
curl -L -o SDEdit-AudioLDM2.zip https://huggingface.co/niobures/AudioLDM/resolve/main/code/SDEdit-AudioLDM2.zip
2.87 MB
- Xet hash:
- ea31d9185b523202a4273ea289651c72971706cf8b6748f54b248c18c5cb730a
- Size of remote file:
- 2.87 MB
- SHA256:
- 5a95f663d96ea492b8c09a52879b96d9e0fc4372145a98003020649eb584a2d5
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