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 models/audioldm2/tokenizer/tokenizer.json from niobures/AudioLDM: direct link, hf CLI and curl.
- Browser
- Download file 2.21 MB
-
https://huggingface.co/niobures/AudioLDM/resolve/main/models/audioldm2/tokenizer/tokenizer.json
- Command line
-
hf download hf://niobures/AudioLDM/models/audioldm2/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/niobures/AudioLDM/resolve/main/models/audioldm2/tokenizer/tokenizer.json
2.21 MB
File too large to display, you can check the raw version instead.