Diffusers
Safetensors
PyTorch
AudioDiffusionPipeline
unconditional-audio-generation
diffusion-models-class
Instructions to use AlvaroPang/audio-diffusion-electronic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlvaroPang/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("AlvaroPang/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
Commit ·
c68f0fa
1
Parent(s): e6cbeca
Upload folder using huggingface_hub
Browse files- mel/mel_config.json +11 -0
mel/mel_config.json
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{
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"_class_name": "Mel",
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"_diffusers_version": "0.24.0",
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"hop_length": 512,
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"n_fft": 2048,
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"n_iter": 32,
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"sample_rate": 22050,
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"top_db": 80,
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"x_res": 256,
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"y_res": 256
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}
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