Instructions to use tvergho/audio-diffusion-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tvergho/audio-diffusion-512 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tvergho/audio-diffusion-512", 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
- Xet hash:
- a0c36e96224ff3e34dc1c3fde0dd0e440b686b147dafe7aa28d2ba9ea9455667
- Size of remote file:
- 335 MB
- SHA256:
- 50ea3b3045c2f813827234e91dda6a16adef52ef91ec2f387f07c8034da2daac
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