Instructions to use Jonjew/ConnieNielsen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ConnieNielsen 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/ConnieNielsen") prompt = "<lora:Connie_Nielsen_Flux:1> beautiful detailed photograph, long curls blonde hair cascading over her shoulders, makeup, wearing a boatneck dress, standing in a cafe" 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/ConnieNielsen")
prompt = "<lora:Connie_Nielsen_Flux:1> beautiful detailed photograph, long curls blonde hair cascading over her shoulders, makeup, wearing a boatneck dress, standing in a cafe"
image = pipe(prompt).images[0]Connie Nielsen

- Prompt
- <lora:Connie_Nielsen_Flux:1> beautiful detailed photograph, long curls blonde hair cascading over her shoulders, makeup, wearing a boatneck dress, standing in a cafe
Model description
FROM https://civitai.com/models/989223/connie-nielsen-flux
strength 1
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 12
Model tree for Jonjew/ConnieNielsen
Base model
black-forest-labs/FLUX.1-dev