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:
- 75c04e4d59d03f8c5f3c3c80a03ed8bd57e27c7cf4c9e878f1a5c9173c089cbe
- Size of remote file:
- 1.33 MB
- SHA256:
- 829dd1355ef3c8d1bbad28f1cbe9acf03602281f451200a61efefc2a8cd03f13
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