Instructions to use Jonjew/VictoriaJustice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/VictoriaJustice 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/VictoriaJustice") prompt = "<lora:Victoria_Justice_Flux:1> beautiful detailed photograph, brown hair cascading over her shoulders, wearing a boatneck dress, standing in a 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/VictoriaJustice")
prompt = "<lora:Victoria_Justice_Flux:1> beautiful detailed photograph, brown hair cascading over her shoulders, wearing a boatneck dress, standing in a cafe, looking at the viewer, smile"
image = pipe(prompt).images[0]Victoria Justice

- Prompt
- <lora:Victoria_Justice_Flux:1> beautiful detailed photograph, brown hair cascading over her shoulders, wearing a boatneck dress, standing in a cafe, looking at the viewer, smile
Model description
FROM https://civitai.com/models/941391/victoria-justice-flux
Strength 1
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Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for Jonjew/VictoriaJustice
Base model
black-forest-labs/FLUX.1-dev