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:
- 233dba9d9af260e527a49bd2f70a5773ee7a8b9bac426f8a6265da649511d7ce
- Size of remote file:
- 18.3 MB
- SHA256:
- 55fa97519e21cba7987f41ccd082ad57d1d563eba2e8169a96de525bd71e0db7
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