brooke-shields / README.md
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metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - celebrity
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
  - text: ' , female , posing for photographer, thin, tall,, smiling, happy,'
    output:
      url: 35262296.jpeg
  - text: ' , female , posing for photographer, thin, tall,, smiling, happy,'
    output:
      url: 35262293.jpeg

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