Instructions to use GraydientPlatformAPI/kizuki with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/kizuki 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/kizuki", 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:
- 716af06066009f564a0532367f57ef73382fdef9a6cc2189f46f4396f43eee7a
- Size of remote file:
- 5.14 GB
- SHA256:
- 5209c2d19ac4174dd92c300ee97c5d7a028b1aea36699665b0228d6870fdfe50
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