Jennifer Garner (Mid 2000s)

Prompt
a photo of a woman , RAW photo, 16mm film, artistic black and white film, a serene and intimate portrait, sits in the center of the frame, perfect posture, directly facing the viewer with their eyes locked onto the camera, they wear a cotton dress shirt, button-up top with all but the topmost button fastened, they also wear a heart necklace, adding a touch of elegance to their overall appearance, the soft, blurred background and soft lighting create a cozy atmosphere, drawing the viewer's attention to the subject's serene expression, the overall effect is one of calm and introspection, inviting the viewer to step into their world, (((looking directly at viewer))), ((facing viewer)), (eye contact maintained with viewer), centered, face centered
Prompt
a a photo of a woman from above, upper body, wearing a tight dress, she sings into a microphone on stage, close-up, intimate, (((looking directly at viewer))), ((facing viewer)), (eye contact maintained with viewer), centered, face centered
Prompt
a an fbi agent has drawn their service weapon and is aiming at the viewer, they have a serious expression, they wear a jacket and slacks, they carry their weapon in a chest holster beneath the jacket, background is the FBI headquarters in DC woman from above, upper body, wearing a tight dress, she sings into a microphone on stage, close-up, intimate, (((looking directly at viewer))), ((facing viewer)), (eye contact maintained with viewer), centered, face centered
Prompt
a woman as a librarian, eyeglasses, looking at viewer, eye contact

Model description

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

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