Instructions to use Jonjew/ChristinaRicci with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/ChristinaRicci 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/ChristinaRicci") prompt = "<lora:Christina_Ricci_Flux:1.1> beautiful detailed photograph, dark hair cascading over her shoulders, wearing a black 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
Christina Ricci

- Prompt
- <lora:Christina_Ricci_Flux:1.1> beautiful detailed photograph, dark hair cascading over her shoulders, wearing a black dress, standing in cafe looking at the viewer, smile
Model description
FROM https://civitai.com/models/910128/christina-ricci-early-2000s-flux?modelVersionId=1018508
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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/ChristinaRicci
Base model
black-forest-labs/FLUX.1-dev