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
Download text_encoder/model.safetensors from GraydientPlatformAPI/kisaragi: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/GraydientPlatformAPI/kisaragi/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/kisaragi/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/kisaragi/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- 7500f36632e61b2bde516b23fee4710c6c9fa186fe0b4b94560732b94ddca975
- Size of remote file:
- 246 MB
- SHA256:
- bb8e0cb8d50ade52ef90d3cc072e6e1114ba661a99b678f4a1194b910e2a2a1e
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