Instructions to use Jonjew/DebbeDunning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/DebbeDunning 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/DebbeDunning") prompt = "(perfect quality photograph, extremely high resolution, perfect details), beautiful 27yo woman posing as the character Heidi from the TV show Home Improvement inside a workshop, intricate details, depth of field <lora:Debbe_Dunning_Flux_Rapid:1.3>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K