Jennifer is hard to capture due to some of her facial features and bone structure. However, I found some decent images where the resolution was acceptable, and her face was in several positions that would capture some of the unique things about her face. I use a weight of 1.5. YMMV

Trigger words

You should use woman to trigger the image generation.

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-garner-mid-2000s', weight_name='Jennifer_Garner_v2.safetensors')
image = pipeline('a woman as a librarian, eyeglasses, looking at viewer, eye contact').images[0]

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