---
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: Jennifer Lawrence
widget:
- text: ' '
output:
url: >-
29699987.jpeg
- text: ' '
output:
url: >-
29699988.jpeg
- text: ' '
output:
url: >-
29699992.jpeg
- text: ' '
output:
url: >-
29699991.jpeg
- text: ' '
output:
url: >-
29699989.jpeg
---
# Jennifer Lawrence " Real Persons "
Jennifer Lawrence
## Trigger words You should use `Jennifer Lawrence ` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/Keltezaa/jennifer-lawrence-real-persons/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py 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-real-persons', weight_name='jennifer-lawrence FLUX.safetensors') image = pipeline('`Jennifer Lawrence `').images[0] ``` For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)