Instructions to use Xena18284/Test123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xena18284/Test123 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("Xena18284/Test123") prompt = "a red Nissan GTR R35 in a rainy city scene" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#3
by Xena18284 - opened
Generated example for model Xena18284/Test123.
Prompt: This image features a character in a futuristic urban setting, illuminated by neon lights. The character is a woman with short, styled hair and extensive tattoos covering her arms and legs. She's wearing a tight, shiny black dress with lace details, and her pose is confident and expressive, with one hand on her hip and the other gesturing. The background includes a sleek car and high-rise buildings, suggesting a high-tech, possibly dystopian cityscape. The overall ambiance is vibrant and edgy, typical of cyberpunk aesthetics.
