Instructions to use X-HighVoltage-X/cultures-flux-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use X-HighVoltage-X/cultures-flux-v3 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("X-HighVoltage-X/cultures-flux-v3") prompt = "portrait photograph of a young japanese woman. the background suggest a window and a cozy room." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
better faces cultures v3

- Prompt
- portrait photograph of a young japanese woman. the background suggest a window and a cozy room.

- Prompt
- portrait photograph of a young egyptian woman. the background suggest a window and a cozy room.
Model description
Include a diverse range of cultures and ethnicities—15 if I remember correctly—with both young and old subjects, currently focusing on women.
aborigines, african, arab, arctic, brazilian, chinese, egyptian, finish, german, havaiian, indian, japanese, mongolian, russian, western
my FLUX-lora responds to age prompts like __yo for 20yo, 30yo, 40yo. Weight: start with 0.3
Download model
Download them in the Files & versions tab.
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Model tree for X-HighVoltage-X/cultures-flux-v3
Base model
black-forest-labs/FLUX.1-dev