Instructions to use cvssp/audioldm2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cvssp/audioldm2-large with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cvssp/audioldm2-large", 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 vae/diffusion_pytorch_model.bin from cvssp/audioldm2-large: direct link, hf CLI and curl.
- Browser
- Download file 222 MB
-
https://huggingface.co/cvssp/audioldm2-large/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://cvssp/audioldm2-large/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/cvssp/audioldm2-large/resolve/main/vae/diffusion_pytorch_model.bin
222 MB
- Xet hash:
- 1ae1ffd78147a731c5ae5bbe499891c3f693d32036b1623896f2952378dff7c6
- Size of remote file:
- 222 MB
- SHA256:
- b3494aadd9cf3e3f0cbb4e913f9b35a25da4a3cb709852e204b667ae5890f758
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