Instructions to use sridevshenoy/urmila with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sridevshenoy/urmila 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("sridevshenoy/urmila") prompt = "UNICODE\u0000\u0000l\u0000o\u0000n\u0000g\u0000 \u0000s\u0000h\u0000o\u0000t\u0000 \u0000s\u0000c\u0000e\u0000n\u0000i\u0000c\u0000 \u0000p\u0000r\u0000o\u0000f\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000 \u0000o\u0000f\u0000 \u0000b\u0000o\u0000r\u0000s\u0000e\u0000 \u0000s\u0000i\u0000t\u0000t\u0000i\u0000n\u0000g\u0000 \u0000o\u0000n\u0000 \u0000b\u0000e\u0000d\u0000 \u0000,\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000r\u0000e\u0000d\u0000 \u0000s\u0000a\u0000r\u0000e\u0000e\u0000 \u0000l\u0000a\u0000u\u0000g\u0000h\u0000i\u0000n\u0000g\u0000,\u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000b\u0000h\u0000a\u0000g\u0000y\u0000a\u0000s\u0000h\u0000r\u0000i\u0000-\u0000b\u0000o\u0000r\u0000s\u0000e\u0000-\u00000\u00000\u00000\u00000\u00000\u00008\u0000:\u00001\u0000>\u0000 \u0000,\u0000 \u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000p\u0000o\u0000i\u0000n\u0000t\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000w\u0000i\u0000d\u0000e\u0000-\u0000a\u0000n\u0000g\u0000l\u0000e\u0000 \u0000l\u0000e\u0000n\u0000s\u0000,\u0000 \u0000h\u0000y\u0000p\u0000e\u0000r\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000d\u0000r\u0000a\u0000m\u0000a\u0000t\u0000i\u0000c\u0000 \u0000s\u0000k\u0000y\u0000,\u0000 \u0000p\u0000o\u0000l\u0000a\u0000r\u0000i\u0000z\u0000i\u0000n\u0000g\u0000 \u0000f\u0000i\u0000l\u0000t\u0000e\u0000r\u0000,\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000,\u0000 \u0000v\u0000i\u0000v\u0000i\u0000d\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000s\u0000,\u0000 \u0000e\u0000v\u0000e\u0000r\u0000y\u0000t\u0000h\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000s\u0000h\u0000a\u0000r\u0000p\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000H\u0000D\u0000R\u0000,\u0000 \u0000U\u0000H\u0000D\u0000,\u0000 \u00006\u00004\u0000K\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
urmila

- Prompt
- UNICODElong shot scenic professional photograph of borse sitting on bed , wearing red saree laughing, <lora:bhagyashri-borse-000008:1> , perfect viewpoint, highly detailed, wide-angle lens, hyper realistic, with dramatic sky, polarizing filter, natural lighting, vivid colors, everything in sharp focus, HDR, UHD, 64K
Trigger words
You should use borse 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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