Instructions to use obann001/Banunga_sdxl_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use obann001/Banunga_sdxl_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SG161222/RealVisXL_V4.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("obann001/Banunga_sdxl_lora") prompt = "Kenza_Né_Banunga A captivating image captures the vibrant atmosphere of a high-profile sports event: the NBA Basket Final. In this full-body shot, the subject is a Kenza woman standing confidently in front of a dramatic backdrop, radiating energy and confidence amidst the excitement surrounding one of basketball's most coveted competitions." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1
by obann001 - opened
Generated example for model obann001/Banunga_sdxl_lora.
Prompt: 70's polaroid photo style, black and white portrait view of a beautiful young woman 14 years old girl portrait, with loose black box braids, with a white shirt, Stretchy Elastic Waist Pleated Ruffle Mini Skirt for Schoolgirl Outfits, beautiful attire, White Japanese loose socks | shihyenshoes, detailed black shoes, In the background, there are other people walking on the sidewalk and a building with trees and bushes.
obann001 changed pull request status to merged