Instructions to use Woleek/clMusDiff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Woleek/clMusDiff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Woleek/clMusDiff", 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
- Xet hash:
- ddccd0dc5ae05db65329956ab920ac6ae6897bafd99e29571bb66340bb96d518
- Size of remote file:
- 569 MB
- SHA256:
- b7a027bdd97c06e19fbac46b67b5f5f9c1fbec4b3fa54a5003ade1268915414d
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