Instructions to use google/music-spectrogram-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use google/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("google/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
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README.md
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@@ -25,7 +25,7 @@ As depicted above the model takes as input a MIDI file and tokenizes it into a s
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```python
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from diffusers import SpectrogramDiffusionPipeline, MidiProcessor
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pipe = SpectrogramDiffusionPipeline.from_pretrained("
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pipe = pipe.to("cuda")
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processor = MidiProcessor()
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```python
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from diffusers import SpectrogramDiffusionPipeline, MidiProcessor
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pipe = SpectrogramDiffusionPipeline.from_pretrained("google/music-spectrogram-diffusion")
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pipe = pipe.to("cuda")
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processor = MidiProcessor()
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