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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 19af08bdfa845cdad4bf72930619b0beedce7e67b0ab047b9d840e194125404f
- Size of remote file:
- 246 MB
- SHA256:
- a493386c881dc5197e03779d6d37958bb7b9556bca53a21273dd450ac60e3ffb
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