Instructions to use GraydientPlatformAPI/kisaragi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/kisaragi 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/kisaragi", 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:
- f830ced4d12c6e93b550725a086745dc25a1ec6d88439ec11d7e4ae0f8f8d8ce
- Size of remote file:
- 1.72 GB
- SHA256:
- a16b394e732fa0fdcb6afb09cfe19498c1d0ca33b4235bb412113cb2e0235308
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