Instructions to use ARZUMATA/Wraith_Quarantine722_Apex_Legends with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ARZUMATA/Wraith_Quarantine722_Apex_Legends with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ARZUMATA/Wraith_Quarantine722_Apex_Legends") prompt = "(Masterpiece:1.4), (best quality:1.2), highres, absurdres, (beautiful eyes), (detailed eyes), looking looking at viewer, full body, <lora:Wraith_Quarantine722_x1-000004:0.6>, wrthqrnt772, 1girl, solo, black hair, wraith (apex legends), bodysuit, blue eyes, jacket, white bodysuit, white footwear, running forward" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee