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:
- b8872606142f1d77198be5a3e3ca0c3554aa62dc8d05a69e4e64880e2e328d40
- Size of remote file:
- 246 MB
- SHA256:
- d3b8556905a136be054453b3bd18ab07274e6205687a00ac33a50ac721f0a80a
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