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:
- 5e136483e6d27114096e5174ac99f2e5cfb0462e23e2dd9937c9e8f949c58368
- Size of remote file:
- 1.72 GB
- SHA256:
- 7b3596f2e90467cce4e54340c6c3fdec1f3634dc3d0c538cbb390b86e5b57854
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