Instructions to use Jonjew/BrookeShields with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/BrookeShields 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/BrookeShields") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Brooke Shields - 1980s (Flux LoRa)

- Prompt
- -
Model description
FROM https://civitai.com/models/1073427/brooke-shields-1980s-flux-lora?modelVersionId=1206135
Trigger brookflx
Helps create HD images of a young Brooke Shields from 1980s
Trigger words
You should use brookflx to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 13
Model tree for Jonjew/BrookeShields
Base model
black-forest-labs/FLUX.1-dev