Instructions to use GraydientPlatformAPI/kanpiro2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/kanpiro2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/kanpiro2", 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:
- a4f9cbedcf02a062965ffbfef99c88f044704ef7c3335366c968733e5c857755
- Size of remote file:
- 1.72 GB
- SHA256:
- 84ce23df927ed0164fc2d665248f90ffc757845d1d9224fa51831964359eb3c9
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