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:
- a1b28d57ff76db2acb50ebd00f8ecb45e5155f1cffd7c46ff7a05f3c91115eb5
- Size of remote file:
- 76.7 MB
- SHA256:
- b8374b9cc0431deeabf9e1d46d1bfe04cbb87d29fc766d60725c3f68406c91f7
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