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("Jonjew/JenniferLoveHewitt2000s")
prompt = "low ponytail, a small nose, low bun, a turtleneck sweater. She has a heart-shaped face with high cheekbones, straight brown hair that falls past her shoulders, as indicated by the dim lighting and the presence of a street sign in the background. The woman has a light skin tone and is of Caucasian ethnicity. She has a slender build and is wearing a strapless, which are painted with a soft pink lipstick."
image = pipe(prompt).images[0]Jennifer Love Hewitt (2000s) - FLUX
- Prompt
- low ponytail, a small nose, low bun, a turtleneck sweater. She has a heart-shaped face with high cheekbones, straight brown hair that falls past her shoulders, as indicated by the dim lighting and the presence of a street sign in the background. The woman has a light skin tone and is of Caucasian ethnicity. She has a slender build and is wearing a strapless, which are painted with a soft pink lipstick.
- Negative Prompt
- score_6, score_5, score_4, worst quality, low quality
Model description
FROM https://civitai.com/models/875586/jennifer-love-hewitt-2000s-flux?modelVersionId=980196
Jennifer Love Hewitt (2000s) - FLUX
This Lora works without a keyword and with all checkpoints. But if you want to emphasize the 90s vintage style, just add 'dim lighting' to your prompt. : )
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/JenniferLoveHewitt2000s
Base model
black-forest-labs/FLUX.1-dev