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:
- 55993316a30efc43638e53e369d46748bc34d856bb60088fc7085246043afc62
- Size of remote file:
- 1.35 MB
- SHA256:
- c6a8eb23502b5cae6ec45bead30beab3201794197323326d1e7f9a0003d7f70c
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