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", 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:
- 13eda2cbfcf994f6b31230d287c46034b592b5dc28bb3b4e9f4a23b60551250e
- Size of remote file:
- 4.27 GB
- SHA256:
- 18188bd3e1a4d844be4b4272702fd6203d80b89c16f03d3f9609d688fe74a3a6
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