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:
- bd55be3f756f997c5039d33e8bf6c1201e0bea556da02e6c1339f770f85968ca
- Size of remote file:
- 455 MB
- SHA256:
- afac1de3ea4f114905e8eb027739c20e16d66dc61846880094e699d08d4b3e41
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