Instructions to use kashif/music-spectrogram-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kashif/music-spectrogram-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("kashif/music-spectrogram-diffusion", 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: 300 Bytes
512d24a 3078251 512d24a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"_class_name": "SpectrogramNotesEncoder",
"_diffusers_version": "0.14.0.dev0",
"d_ff": 2048,
"d_kv": 64,
"d_model": 768,
"dropout_rate": 0.1,
"feed_forward_proj": "gated-gelu",
"is_decoder": false,
"max_length": 2048,
"num_heads": 12,
"num_layers": 12,
"vocab_size": 1536
}
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