Instructions to use Keltezaa/jennifer-lawrence-real-persons with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/jennifer-lawrence-real-persons with Diffusers:
pip install -U diffusers transformers accelerate
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("Keltezaa/jennifer-lawrence-real-persons") prompt = " " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Jennifer Lawrence " Real Persons "

- Prompt

- Prompt

- Prompt

- Prompt

- Prompt
Model description
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 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-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
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Model tree for Keltezaa/jennifer-lawrence-real-persons
Base model
black-forest-labs/FLUX.1-dev