metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - photorealistic
  - sexy
  - woman
  - actress
  - celebrity
  - girls
  - realistic
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
widget:
  - text: ' this is a high definition image of a woman with a slightly sultry expression and striking, blonde hair cascading down her back, wearing a an elegant dress. She is standing in cafe looking at the viewer, smile'
    output:
      url: 35755184.jpeg
  - text: ' this is a high definition image of a woman with a slightly sultry expression and striking, blonde hair cascading down her back, wearing a an elegant dress. She is standing in cafe looking at the viewer, smile'
    output:
      url: 35755258.jpeg
  - text: '  beautiful detailed photograph, blonde hair cascading, wearing a dress, standing in cafe looking at the viewer'
    output:
      url: 35755185.jpeg
  - text: '  beautiful detailed photograph, blonde hair cascading, wearing a dress, standing in cafe looking at the viewer'
    output:
      url: 35755325.jpeg

Jennifer Lawrence (Flux)

Prompt
this is a high definition image of a woman with a slightly sultry expression and striking, blonde hair cascading down her back, wearing a an elegant dress. She is standing in cafe looking at the viewer, smile

Prompt
beautiful detailed photograph, blonde hair cascading, wearing a dress, standing in cafe looking at the viewer

(CivitAI)

Model description

Jennifer Lawrence. Trained for Flux.

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/jennifer-lawrence-flux', weight_name='Jennifer_Lawrence_V2_Flux.safetensors')
image = pipeline('  beautiful detailed photograph, blonde hair cascading, wearing a dress, standing in cafe looking at the viewer').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers