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:
- 43a0ab3c700180958054ea18bfe449a76ba93d15b8a0a562e65ecb9bab7416d7
- Size of remote file:
- 167 MB
- SHA256:
- 82fc119719f054b689b9ed6d6203a45c1f955db97dac180b86b3a0085057884a
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