Instructions to use Horsebird/klxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Horsebird/klxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Horsebird/klxl") prompt = "score_9, score_8_up, woman, fox ears, teal hair, ponytail, black sclera, golden eyes, slit pupils, lipstick, tan, chest tuft, qipao, lamia, smoke, shadow, glow, water, night" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K