Instructions to use Khairo/khairolora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Khairo/khairolora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Khairo/khairolora") prompt = "young short beard khairo looking to the camera. vector art illustration, white background, pastel colors, aesthetic vibe, by digital contemporary illustrators, glitch, color negative, liquify" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
khairo
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- Prompt
- young short beard khairo looking to the camera. vector art illustration, white background, pastel colors, aesthetic vibe, by digital contemporary illustrators, glitch, color negative, liquify
Model description
personal lora
Trigger words
You should use khairo to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Khairo/khairolora
Base model
black-forest-labs/FLUX.1-dev