Instructions to use Jonjew/KateJackson1972 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/KateJackson1972 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/KateJackson1972") prompt = "<lora:Kate_Jackson_Ca1972:1> woman a, Looking Directly At The Viewer, Centered, Making Eye Contact, Looking Straight Ahead, Looking Forward, Striking A Dynamic Pose, <lora:zz_s_Chest_Size_Slider:-2.5>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee