Instructions to use vipuldeore/modernwoman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use vipuldeore/modernwoman 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("vipuldeore/modernwoman") prompt = "UNICODE\u0000\u0000f\u0000u\u0000l\u0000l\u0000 \u0000b\u0000o\u0000d\u0000y\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000o\u0000f\u0000 \u0000K\u0000e\u0000t\u0000i\u0000k\u0000a\u0000 \u0000S\u0000h\u0000a\u0000r\u0000m\u0000a\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000,\u0000c\u0000a\u0000n\u0000d\u0000i\u0000d\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000s\u0000,\u0000 \u0000p\u0000o\u0000u\u0000t\u0000i\u0000n\u0000g\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000 \u0000o\u0000n\u0000 \u0000f\u0000a\u0000c\u0000e\u0000,\u0000s\u0000t\u0000u\u0000d\u0000i\u0000o\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000t\u0000r\u0000i\u0000c\u0000a\u0000t\u0000e\u0000 \u0000h\u0000i\u0000g\u0000h\u0000 \u0000n\u0000e\u0000c\u0000k\u0000 \u0000e\u0000l\u0000e\u0000g\u0000a\u0000n\u0000t\u0000 \u0000I\u0000v\u0000o\u0000r\u0000y\u0000 \u0000s\u0000l\u0000e\u0000e\u0000v\u0000e\u0000l\u0000e\u0000s\u0000s\u0000 \u0000P\u0000u\u0000n\u0000j\u0000a\u0000b\u0000i\u0000 \u0000S\u0000u\u0000i\u0000t\u0000,\u0000 \u0000c\u0000u\u0000r\u0000l\u0000s\u0000,\u0000 \u0000p\u0000a\u0000s\u0000t\u0000e\u0000l\u0000 \u0000s\u0000h\u0000a\u0000d\u0000e\u0000d\u0000 \u0000m\u0000u\u0000l\u0000t\u0000i\u0000c\u0000o\u0000l\u0000o\u0000r\u0000e\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000c\u0000i\u0000n\u0000e\u0000m\u0000a\u0000t\u0000i\u0000c\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000T\u0000e\u0000s\u0000t\u0000B\u0000e\u0000d\u0000\\\u0000K\u0000e\u0000t\u0000i\u0000k\u0000a\u0000_\u0000S\u0000h\u0000a\u0000r\u0000m\u0000a\u0000_\u0000F\u0000l\u0000u\u0000x\u0000_\u0000K\u0000o\u0000h\u0000y\u0000a\u0000_\u0000V\u00001\u0000.\u0000s\u0000a\u0000f\u0000e\u0000t\u0000e\u0000n\u0000s\u0000o\u0000r\u0000s\u0000:\u00001\u0000.\u00000\u0000:\u00001\u0000.\u00000\u0000>\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
hot woman

- Prompt
- UNICODEfull body photo of Ketika Sharma woman,candid photo with natural colors, pouting expression on face,studio quality, wearing intricate high neck elegant Ivory sleeveless Punjabi Suit, curls, pastel shaded multicolored background, cinematic lighting<lora:TestBed\Ketika_Sharma_Flux_Kohya_V1.safetensors:1.0:1.0>
Trigger words
You should use ketika kapoor 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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