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", torch_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:
- 802631ef38bf75a82bfc4f9776769152b5eecaadd77cc67f61ae5d08a9609633
- Size of remote file:
- 137 MB
- SHA256:
- c0751748aca24b1d337f7da37204e985b294fa8343cb556c4027b8f29eae7c6d
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