Instructions to use Keltezaa/brooke-shields with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/brooke-shields 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("Keltezaa/brooke-shields") prompt = " , female , posing for photographer, thin, tall,, smiling, happy," image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Brooke Shields

- Prompt
- , female , posing for photographer, thin, tall,, smiling, happy,

- Prompt
- , female , posing for photographer, thin, tall,, smiling, happy,
(CivitAI)
Model description
One more girl I used to crush on, when I was a younger....
Follow me for more!!
Niko3DX
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Keltezaa/brooke-shields', weight_name='brooke-shields.safetensors')
image = pipeline(' , female , posing for photographer, thin, tall,, smiling, happy,').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers
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Model tree for Keltezaa/brooke-shields
Base model
black-forest-labs/FLUX.1-dev