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
File size: 329 Bytes
5bfbe43 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"_class_name": "AudioDiffusionPipeline",
"_diffusers_version": "0.21.4",
"_name_or_path": "johnowhitaker/Electronic_test",
"mel": [
"audio_diffusion",
"Mel"
],
"scheduler": [
"diffusers",
"DDPMScheduler"
],
"unet": [
"diffusers",
"UNet2DModel"
],
"vqvae": [
null,
null
]
}
|