Instructions to use nupurkmr9/penguin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nupurkmr9/penguin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nupurkmr9/penguin", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c8e4a5d07710142585366a6424aa7caf1dceee4a265644a486ffd0d1e8cbe2bd
- Size of remote file:
- 76.8 MB
- SHA256:
- b654b20e7386ce2aea3d178f06f5b465199ba5c4c807316c14cdc33786cb4954
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