Instructions to use monke1/bunnio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monke1/bunnio with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("monke1/bunnio", 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:
- 61199f6a1fa7a3ebbcd183bc5e218a95f22c04ad97ddf087093770352cbc7d88
- Size of remote file:
- 492 MB
- SHA256:
- 0dd5ae1e62fac344116e131c87832e94827b6ee420fe3cf73348dad19130d025
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