Instructions to use stablediffusionapi/bukkake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/bukkake with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/bukkake", 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:
- c4b9f35be0d1635cce6c8b91991abb65dd83cc9a9a2eed84c140490616f88a5b
- Size of remote file:
- 167 MB
- SHA256:
- ec7c6821a0fc88d630539756f7ca378e0340bf2f98c1c0d6479ec2d6e49407f5
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