Instructions to use bvrtek/KusaMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bvrtek/KusaMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bvrtek/KusaMix", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 41fc0f171510106dba57c9d5d9e0d9008eb15f321ae3da444ca88fc070240d98
- Size of remote file:
- 18.1 MB
- SHA256:
- fe02f009651cc1094a12ea86cd9ca407c5f88ee1350d697039e5f581d260de1e
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