Instructions to use Jonjew/MinkaKelly with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/MinkaKelly 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/MinkaKelly") prompt = "<lora:Minka_Kelly_Flux:1> This is an image of a women, beautiful detailed photograph, brown hair cascading , makeup wearing a dress, standing in cafe looking at the viewer, smile" 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/MinkaKelly")
prompt = "<lora:Minka_Kelly_Flux:1> This is an image of a women, beautiful detailed photograph, brown hair cascading , makeup wearing a dress, standing in cafe looking at the viewer, smile"
image = pipe(prompt).images[0]Minka Kelly

- Prompt
- <lora:Minka_Kelly_Flux:1> This is an image of a women, beautiful detailed photograph, brown hair cascading , makeup wearing a dress, standing in cafe looking at the viewer, smile
Model description
FROM https://civitai.com/models/897698/minka-kelly-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/MinkaKelly
Base model
black-forest-labs/FLUX.1-dev