Instructions to use Codekirk/f-r95FurryStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Codekirk/f-r95FurryStyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Codekirk/f-r95FurryStyle", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 564255c980761452f4135d041bc65d60fbfbc54e314e01e1b7698b7cdee7ca3c
- Size of remote file:
- 2.3 GB
- SHA256:
- c1775d28b4ec4235fcdc65857fcba4e14d031e5b684a328569ffbabedfe77b95
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