Instructions to use Jonjew/MaryElizabethWinstead with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/MaryElizabethWinstead 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("Jonjew/MaryElizabethWinstead") prompt = "<lora:Mary_Elizabeth_Winstead:1>realistic photo of maryew, wearing a brown jacket, sweater, sitting in a cafe, having a coffee" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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/MaryElizabethWinstead")
prompt = "<lora:Mary_Elizabeth_Winstead:1>realistic photo of maryew, wearing a brown jacket, sweater, sitting in a cafe, having a coffee"
image = pipe(prompt).images[0]Mary Elizabeth Winstead

- Prompt
- <lora:Mary_Elizabeth_Winstead:1>realistic photo of maryew, wearing a brown jacket, sweater, sitting in a cafe, having a coffee
Model description
FROM https://civitai.com/models/686027/mary-elizabeth-winstead-flux
Strength 1
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/MaryElizabethWinstead
Base model
black-forest-labs/FLUX.1-dev