Instructions to use diffusersfan/fking_civitai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusersfan/fking_civitai with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusersfan/fking_civitai", 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:
- be05fb3e55cb71794e109ba0f0141a8388274d9817396e2e8c069af385df0878
- Size of remote file:
- 1.73 GB
- SHA256:
- 5ddbafb8b83ebc47447cfc93f13e6963a4f894ce6912976dbc174e8c6106db68
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