Instructions to use Jonjew/FeliciaDay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/FeliciaDay 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/FeliciaDay") prompt = "<lora:Felicia_Day_Flux:1> This image is of a women her hair natural red color with a slight curl that cascades over her shoulders. She has a fair complexion with a light dusting of freckles across her cheeks and nose, assertive expression. Wearing a cardigan, t-shirt, skirt, leggings, standing in a cafe " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Felicia Day

- Prompt
- <lora:Felicia_Day_Flux:1> This image is of a women her hair natural red color with a slight curl that cascades over her shoulders. She has a fair complexion with a light dusting of freckles across her cheeks and nose, assertive expression. Wearing a cardigan, t-shirt, skirt, leggings, standing in a cafe
Model description
FROM https://civitai.com/models/832282/felicia-day-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/FeliciaDay
Base model
black-forest-labs/FLUX.1-dev