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:
- db4ada1e7b48ce6a285158b0973f845bd50e6b6c5306c6113ea4a9bcbc261e07
- Size of remote file:
- 246 MB
- SHA256:
- d02314079b355b5a9ff5af860ebbcb3d2908d471fa0d29ca75b2fcad0022679d
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