How to use from the
Use from the
Diffusers library
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("vipuldeore/woman")

prompt = "UNICODE\u0000\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000i\u0000n\u0000d\u0000i\u0000a\u0000n\u0000 \u0000s\u0000a\u0000r\u0000e\u0000e\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000a\u0000r\u0000e\u0000e\u0000 \u0000b\u0000l\u0000o\u0000u\u0000s\u0000e\u0000 \u0000a\u0000n\u0000d\u0000 \u0000p\u0000e\u0000t\u0000t\u0000i\u0000c\u0000o\u0000a\u0000t\u0000 \u0000o\u0000n\u0000l\u0000y\u0000,\u0000 \u0000d\u0000a\u0000r\u0000k\u0000-\u0000s\u0000k\u0000i\u0000n\u0000n\u0000e\u0000d\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000,\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000s\u0000k\u0000i\u0000n\u0000 \u0000i\u0000n\u0000d\u0000i\u0000a\u0000n\u0000 \u0000w\u0000o\u0000m\u0000e\u0000n\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000m\u0000i\u0000d\u0000r\u0000i\u0000f\u0000f\u0000,\u0000 \u0000n\u0000o\u0000s\u0000e\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000u\u0000p\u0000p\u0000e\u0000r\u0000 \u0000b\u0000o\u0000d\u0000y\u0000,\u0000 \u0000b\u0000o\u0000k\u0000e\u0000h\u0000,\u0000 \u0000w\u0000e\u0000d\u0000d\u0000i\u0000n\u0000g\u0000,\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000d\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000f\u0000o\u0000r\u0000e\u0000s\u0000t\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000M\u0000o\u0000r\u0000e\u0000D\u0000e\u0000t\u0000a\u0000i\u0000l\u0000s\u0000:\u00000\u0000.\u00007\u0000>\u0000"
image = pipe(prompt).images[0]

woman

Prompt
UNICODE1girl, indian saree, black hair, saree blouse and petticoat only, dark-skinned female, dark skin indian women, long hair, midriff, nose, realistic, solo, upper body, bokeh, wedding, closed eyes, forest background, natural lighting <lora:MoreDetails:0.7>

Trigger words

You should use Indian Saree to trigger the image generation.

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Weights for this model are available in Safetensors format.

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