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:
- 81d212fd7ea94612bb56de9beb1965c32d3373ea6b1f76974942ec3fece61c50
- Size of remote file:
- 157 kB
- SHA256:
- 51313768e0408e7b6940064b9ece401f40455329a548e38088fc1e27ac50570b
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