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

- Prompt
- <lora:Mackenzie_Foy_Flux:1> This is a beautiful photograph of a woman, hair cascading over her shoulders. wearing a boatneck dress. standing in cafe, looking at the viewer, smiling
Model description
FROM https://civitai.com/models/1164305/mackenzie-foy-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/MackenzieFoy
Base model
black-forest-labs/FLUX.1-dev