Instructions to use Zynx3/jin-a-white-wolf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zynx3/jin-a-white-wolf with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Zynx3/jin-a-white-wolf", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 111fcc6d4b6f1b3ebd30baebd4344ed2cb345072f7c48596e40742698bfd57e9
- Size of remote file:
- 246 MB
- SHA256:
- 2076df761d1374be9db1a673ccc15091fa4901ea2b75f9ad8b780974fa64fe1a
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