Instructions to use Kafke/sanrio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kafke/sanrio with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Kafke/sanrio", 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
Commit History
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Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (#4)
- Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`. (2ff54757b29fd9c067665065d2b5c9c7f46d7495)bdba1ac
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added download link
617e0bd -
examples
08a01a9 -
example pics
f090ca9 -
Create README.md
0e93693 -
init upload of model
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initial commit
1a1d362