Instructions to use Jonjew/ShannonElizabeth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ShannonElizabeth 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/ShannonElizabeth") prompt = "<lora:Shannon_Elizabeth_Flux:1> This is a beautiful photograph of a woman, hair cascading over her shoulder. She is wearing a boatneck dress. Standing in a cafe. Looking at the viewer. Smile" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Shannon Elizabeth

- Prompt
- <lora:Shannon_Elizabeth_Flux:1> This is a beautiful photograph of a woman, hair cascading over her shoulder. She is wearing a boatneck dress. Standing in a cafe. Looking at the viewer. Smile
Model description
FROM https://civitai.com/models/1121484/shannon-elizabeth-90s-early-2000s-flux?modelVersionId=1260459
Stgrength 1.2
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/ShannonElizabeth
Base model
black-forest-labs/FLUX.1-dev