Instructions to use AltLuv/pokemon-polynomial-20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AltLuv/pokemon-polynomial-20 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AltLuv/pokemon-polynomial-20", 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:
- 4eaacfb3699ac66d7011d7b837793b46392faf519952db976eb40be52e0f877d
- Size of remote file:
- 1.08 kB
- SHA256:
- 83a1523b78c3c076f50f7aa0fef0d652a0a3bc48b06c15f718a0329dde7787fc
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