Instructions to use ImagineLabs/sdxl-offset-noise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ImagineLabs/sdxl-offset-noise with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ImagineLabs/sdxl-offset-noise") prompt = "UNICODE\u0000\u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000o\u0000f\u0000 \u0000a\u0000n\u0000 \u0000e\u0000n\u0000i\u0000g\u0000m\u0000a\u0000t\u0000i\u0000c\u0000 \u00002\u00000\u0000-\u0000y\u0000e\u0000a\u0000r\u0000-\u0000o\u0000l\u0000d\u0000 \u0000C\u0000a\u0000u\u0000c\u0000a\u0000s\u0000i\u0000a\u0000n\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000(\u0000t\u0000a\u0000n\u0000n\u0000e\u0000d\u0000 \u0000s\u0000k\u0000i\u0000n\u0000:\u00000\u0000.\u00008\u0000)\u0000 \u0000a\u0000n\u0000d\u0000 \u0000(\u0000f\u0000r\u0000e\u0000c\u0000k\u0000l\u0000e\u0000s\u0000:\u00000\u0000.\u00004\u0000)\u0000 \u0000a\u0000n\u0000d\u0000 \u0000p\u0000i\u0000e\u0000r\u0000c\u0000i\u0000n\u0000g\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000e\u0000y\u0000e\u0000s\u0000 \u0000a\u0000n\u0000d\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000h\u0000o\u0000o\u0000d\u0000 \u0000m\u0000a\u0000d\u0000e\u0000 \u0000o\u0000u\u0000t\u0000 \u0000o\u0000f\u0000 \u0000r\u0000o\u0000u\u0000g\u0000h\u0000 \u0000h\u0000a\u0000n\u0000d\u0000-\u0000m\u0000a\u0000d\u0000e\u0000 \u0000f\u0000a\u0000b\u0000r\u0000i\u0000c\u0000,\u0000 \u0000s\u0000h\u0000e\u0000 \u0000i\u0000s\u0000 \u0000t\u0000h\u0000e\u0000 \u0000G\u0000o\u0000d\u0000d\u0000e\u0000s\u0000s\u0000 \u0000o\u0000f\u0000 \u0000S\u0000t\u0000o\u0000r\u0000m\u0000s\u0000,\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000s\u0000k\u0000i\u0000n\u0000 \u0000t\u0000e\u0000x\u0000t\u0000u\u0000r\u0000e\u0000,\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000s\u0000k\u0000i\u0000n\u0000 \u0000t\u0000e\u0000x\u0000t\u0000u\u0000r\u0000e\u0000,\u0000 \u0000(\u0000s\u0000k\u0000i\u0000n\u0000 \u0000p\u0000o\u0000r\u0000e\u0000s\u0000:\u00000\u0000.\u00008\u0000)\u0000,\u0000 \u0000(\u0000s\u0000k\u0000i\u0000n\u0000 \u0000o\u0000i\u0000l\u0000s\u0000:\u00000\u0000.\u00008\u0000)\u0000,\u0000 \u0000t\u0000h\u0000e\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000c\u0000o\u0000n\u0000v\u0000e\u0000y\u0000s\u0000 \u0000t\u0000h\u0000e\u0000 \u0000d\u0000i\u0000v\u0000i\u0000n\u0000e\u0000 \u0000p\u0000o\u0000w\u0000e\u0000r\u0000 \u0000o\u0000f\u0000 \u0000t\u0000h\u0000u\u0000n\u0000d\u0000e\u0000r\u0000 \u0000s\u0000t\u0000o\u0000r\u0000m\u0000s\u0000,\u0000 \u0000f\u0000i\u0000n\u0000e\u0000 \u0000a\u0000r\u0000t\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000,\u0000 \u0000a\u0000w\u0000a\u0000r\u0000d\u0000 \u0000w\u0000i\u0000n\u0000n\u0000i\u0000n\u0000g\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000,\u0000 \u0000a\u0000n\u0000a\u0000l\u0000o\u0000g\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000,\u0000 \u0000f\u0000i\u0000l\u0000m\u0000 \u0000g\u0000r\u0000a\u0000i\u0000n\u0000,\u0000 \u0000F\u0000u\u0000j\u0000i\u0000f\u0000i\u0000l\u0000m\u0000 \u0000X\u0000T\u00003\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SDXL Offset Noise

- Prompt
- UNICODEphoto of an enigmatic 20-year-old Caucasian woman with (tanned skin:0.8) and (freckles:0.4) and piercing blue eyes and white hair wearing a dark hood made out of rough hand-made fabric, she is the Goddess of Storms, natural skin texture, realistic skin texture, (skin pores:0.8), (skin oils:0.8), the photo conveys the divine power of thunder storms, fine art photography, award winning photography, analog photography, film grain, Fujifilm XT3 photo
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