Instructions to use chandlr/krea2-bree with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use chandlr/krea2-bree with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("chandlr/krea2-bree") prompt = "A vxl woman wearing iridescent neon armor, standing in the center of a rainy cyberpunk metropolis with towering holographic advertisements." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f8d46b8635ec85b378296b7b08ebd82a00ceaf851d32ffd8b3cca27c9c2dc38e
- Size of remote file:
- 1.41 MB
- SHA256:
- 235529634a5d356194b1e34aa6c6c54e5c76512b6969424b54a28b01cfdc1871
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