Diffusers
Safetensors
PyTorch
AudioDiffusionPipeline
unconditional-audio-generation
diffusion-models-class
Instructions to use Psly/audio-diffusion-electronic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Psly/audio-diffusion-electronic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Psly/audio-diffusion-electronic", 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:
- 2354d7209aeeeb690051a8c82edffd3a768809edaf145ada7e60b91be881d3ad
- Size of remote file:
- 455 MB
- SHA256:
- 139525261445e75975746223ae3557083acc458e982e87119c7dc6fb7c17fcbe
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