Instructions to use teticio/audio-diffusion-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use teticio/audio-diffusion-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("teticio/audio-diffusion-256", 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 unet/diffusion_pytorch_model.bin from teticio/audio-diffusion-256: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/teticio/audio-diffusion-256/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://teticio/audio-diffusion-256/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/teticio/audio-diffusion-256/resolve/main/unet/diffusion_pytorch_model.bin
455 MB
- Xet hash:
- 4ebb6cecdbcc6b2bfc429e616c8b323ce0186c062e2a26530c8987144e126be3
- Size of remote file:
- 455 MB
- SHA256:
- 655b756e85b29a655c25750fb6fe1f6573a930b9337d5696b1e34b3068054263
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