Instructions to use FastVideo/stable-audio-open-small-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FastVideo/stable-audio-open-small-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FastVideo/stable-audio-open-small-Diffusers", 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 conditioner/diffusion_pytorch_model.safetensors from FastVideo/stable-audio-open-small-Diffusers: direct link, hf CLI and curl.
- Browser
- Download file 793 kB
-
https://huggingface.co/FastVideo/stable-audio-open-small-Diffusers/resolve/main/conditioner/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://FastVideo/stable-audio-open-small-Diffusers/conditioner/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/FastVideo/stable-audio-open-small-Diffusers/resolve/main/conditioner/diffusion_pytorch_model.safetensors
793 kB
- Xet hash:
- 3c2d0e6a26d6eda6fd24e0eb8f0b76c4132d8998c578f0facee5607f7437e631
- Size of remote file:
- 793 kB
- SHA256:
- ad2433cfd09378c04b1f9208cdb181f731ff245303d5ac61de7cfe096f79274d
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