Instructions to use RudzC/audio-diffusion-instrumental-electronics-256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RudzC/audio-diffusion-instrumental-electronics-256 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RudzC/audio-diffusion-instrumental-electronics-256", 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
| { | |
| "_class_name": "Mel", | |
| "_diffusers_version": "0.34.0", | |
| "hop_length": 512, | |
| "n_fft": 2048, | |
| "n_iter": 32, | |
| "sample_rate": 22050, | |
| "top_db": 80, | |
| "x_res": 256, | |
| "y_res": 256 | |
| } | |