Instructions to use compaq/PoojaHegde with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use compaq/PoojaHegde 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("compaq/PoojaHegde") prompt = "UNICODE\u0000\u0000c\u0000o\u0000w\u0000b\u0000o\u0000y\u0000 \u0000s\u0000h\u0000o\u0000t\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000o\u0000f\u0000 \u0000P\u0000o\u0000o\u0000j\u0000a\u0000 \u0000H\u0000e\u0000g\u0000d\u0000e\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 \u0000g\u0000r\u0000i\u0000n\u0000n\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 \u0000e\u0000l\u0000e\u0000g\u0000a\u0000n\u0000t\u0000 \u0000s\u0000l\u0000e\u0000e\u0000v\u0000e\u0000l\u0000e\u0000s\u0000s\u0000 \u0000O\u0000l\u0000i\u0000v\u0000e\u0000 \u0000S\u0000h\u0000a\u0000r\u0000a\u0000r\u0000a\u0000 \u0000S\u0000u\u0000i\u0000t\u0000,\u0000 \u0000s\u0000t\u0000r\u0000a\u0000i\u0000g\u0000h\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\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 \u0000s\u0000o\u0000f\u0000t\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000T\u0000e\u0000s\u0000t\u0000B\u0000e\u0000d\u0000\\\u0000P\u0000o\u0000o\u0000j\u0000a\u0000_\u0000H\u0000e\u0000g\u0000d\u0000e\u0000_\u0000F\u0000l\u0000u\u0000x\u0000_\u0000K\u0000o\u0000h\u0000y\u0000a\u0000_\u0000V\u00001\u0000-\u00000\u00000\u00000\u00000\u00000\u00005\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
Pooja Hegde

- Prompt
- UNICODEcowboy shot photo of Pooja Hegde woman,candid photo with natural colors, grinning expression on face,studio quality, wearing intricate elegant sleeveless Olive Sharara Suit, straight hair, pastel shaded multicolored background, cinematic soft lighting<lora:TestBed\Pooja_Hegde_Flux_Kohya_V1-000005.safetensors:1.0:1.0>
Trigger words
You should use pooja hegde 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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