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
Download checkpoint-250/pytorch_model.bin from nupurkmr9/penguin: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/nupurkmr9/penguin/resolve/main/checkpoint-250/pytorch_model.bin
- Command line
-
hf download hf://nupurkmr9/penguin/checkpoint-250/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/nupurkmr9/penguin/resolve/main/checkpoint-250/pytorch_model.bin
76.7 MB
- Xet hash:
- aee077867f640d62e4fb2a7c0a7ddbc7da979711b21b1aae083534d25c4d97aa
- Size of remote file:
- 76.7 MB
- SHA256:
- c3b02da071909737249564f940aeba219bad258c7eef6a302849ebf619e3e41c
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