Instructions to use lloydchristmas1231/cailbo-40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lloydchristmas1231/cailbo-40 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("lloydchristmas1231/cailbo-40") prompt = "A futuristic neon-lit cyberpunk city street where a cailbo floats amidst holographic advertisements and rain-slicked pavement." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 66d82c6ff6c22ce093bcc0aa77791f8a65d73fc5fc8cd71cefadf604e050dcf1
- Size of remote file:
- 1.36 MB
- SHA256:
- 78c68c15bf4f5c2b3994bc46f4cd659d80d3084f3e517c91a786d13be54fe44a
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