Instructions to use Localsong/LocalSong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Localsong/LocalSong with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Localsong/LocalSong", 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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# LocalSong
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LocalSong is a 700M parameter audio generation model focused on melodic instrumental music that uses tag-based conditioning.
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## Installation
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# LocalSong
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LocalSong is a 700M parameter audio generation model focused on melodic instrumental music that uses tag-based conditioning. It was trained in 3 days on 1xH100 from scratch, reusing the ACE-Step VAE.
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## Installation
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