Instructions to use Colala/pokegen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Colala/pokegen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Colala/pokegen", 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
- Xet hash:
- 8e5a25d4bf6c76e5a16e5f2ae8a1c1152843e91d2154ff7d97aed509bdb944a4
- Size of remote file:
- 455 MB
- SHA256:
- 463ac07dc3933e0736687bf4e30424e77788f16697a3096e396552655e61fffa
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