Instructions to use Flirtybot/FluxV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Flirtybot/FluxV2 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("Flirtybot/FluxV2") prompt = "Indian women in saree" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Flux-lora

- Prompt
- Indian women in saree
- Negative Prompt
- Indian women in sari
Model description
A fine-tuned LoRA trained on SD 1.5 depicting realistic Indian women in saree poses. Great for culturally themed renders. Optimized for bedroom lighting.
Trigger words
You should use indian bhabhi to trigger the image generation.
You should use saree woman to trigger the image generation.
You should use indian beauty to trigger the image generation.
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 Flirtybot/FluxV2
Base model
black-forest-labs/FLUX.1-dev