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", 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:
- 7fd3270a76c982ebfd55342013517678a48d288564027a1445eeed21f5259274
- Size of remote file:
- 681 MB
- SHA256:
- 27b3f4ea3f6c86333a27fc4b2518ba253eda555a2edcd555d39b0a6049142d71
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