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:
- d10d1bbfef82ec9089be82ff69e5f7a25f7eb63101a3d560eaeae469b87d6d64
- Size of remote file:
- 99 MB
- SHA256:
- 343f2e41c1738b7c7787362926b479bcb07b1be400acc9721874840433377493
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