Instructions to use KeoooDev/andykeoo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KeoooDev/andykeoo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KeoooDev/andykeoo", 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:
- 1b830f06ebd82a5e06d4ae6a629dbb5882ec9777468ed8e463dc8336484d333e
- Size of remote file:
- 492 MB
- SHA256:
- ce03f8ca401854166c9f6e0029ff149ccafb6e4856c826098be249c0149dac3f
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