Diffusers
Safetensors
PyTorch
AudioDiffusionPipeline
unconditional-audio-generation
diffusion-models-class
Instructions to use cocokaren/audio-diffusion-electronic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cocokaren/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("cocokaren/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: 187 Bytes
a7e7563 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_class_name": "Mel",
"_diffusers_version": "0.23.1",
"hop_length": 512,
"n_fft": 2048,
"n_iter": 32,
"sample_rate": 22050,
"top_db": 80,
"x_res": 256,
"y_res": 256
}
|