Instructions to use Jonjew/ChristinaApplegate2010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ChristinaApplegate2010 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("Jonjew/ChristinaApplegate2010") prompt = "body painting of a woman <lora:Christina_Applegate:1.3>, (((looking directly at viewer))), ((facing viewer)), (eye contact maintained with viewer), centered, face centered . human canvas, vibrant, detailed, transformative, expressive,traditional canvas" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee