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:
- 3d208b86e946be13c0b86525ae6210a0eb94da557627849e10c2dfa958f2ba6d
- Size of remote file:
- 3.44 GB
- SHA256:
- 5ed2b1e83090e9fccc162ddc4b3632097c8a3da7fac1cee4f2a034fe1a0e6f57
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