import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("John6666/ilustrealmix-v20-sdxl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Shero448/age")
prompt = "UNICODE\u0000\u0000m\u0000i\u0000t\u0000s\u0000u\u0000a\u0000r\u0000t\u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000N\u0000o\u0000-\u0000L\u0000o\u0000R\u0000A\u0000,\u0000 \u0000(\u0000t\u0000h\u0000r\u0000e\u0000e\u0000 \u0000q\u0000u\u0000a\u0000r\u0000t\u0000e\u0000r\u0000 \u0000v\u0000i\u0000e\u0000w\u0000)\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000p\u0000o\u0000n\u0000c\u0000h\u0000o\u0000,\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000d\u0000o\u0000w\u0000n\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000a\u0000d\u0000,\u0000 \u0000w\u0000o\u0000r\u0000r\u0000i\u0000e\u0000d\u0000,\u0000 \u0000n\u0000e\u0000r\u0000v\u0000o\u0000u\u0000s\u0000,\u0000 \u0000c\u0000o\u0000w\u0000b\u0000o\u0000y\u0000 \u0000s\u0000h\u0000o\u0000t\u0000,\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000,\u0000 \u0000[\u0000s\u0000h\u0000a\u0000d\u0000e\u0000d\u0000 \u0000f\u0000a\u0000c\u0000e\u0000]\u0000,\u0000 \u0000d\u0000i\u0000l\u0000a\u0000p\u0000i\u0000d\u0000a\u0000t\u0000e\u0000d\u0000 \u0000c\u0000i\u0000t\u0000y\u0000s\u0000c\u0000a\u0000p\u0000e\u0000,\u0000 \u0000p\u0000o\u0000s\u0000t\u0000-\u0000a\u0000p\u0000o\u0000c\u0000a\u0000l\u0000y\u0000p\u0000s\u0000e\u0000,\u0000 \u0000r\u0000o\u0000o\u0000f\u0000t\u0000o\u0000p\u0000,\u0000 \u0000(\u0000s\u0000k\u0000y\u0000s\u0000c\u0000r\u0000a\u0000p\u0000e\u0000r\u0000)\u0000,\u0000 \u0000r\u0000u\u0000i\u0000n\u0000s\u0000,\u0000 \u0000o\u0000v\u0000e\u0000r\u0000c\u0000a\u0000s\u0000t\u0000,\u0000 \u0000r\u0000a\u0000i\u0000n\u0000,\u0000 \u0000c\u0000l\u0000o\u0000u\u0000d\u0000y\u0000 \u0000s\u0000k\u0000y\u0000,\u0000 \u0000s\u0000c\u0000e\u0000n\u0000e\u0000r\u0000y\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000M\u0000i\u0000t\u0000s\u0000u\u0000A\u0000r\u0000t\u0000X\u0000L\u0000:\u00000\u0000.\u00006\u0000>\u0000"
image = pipe(prompt).images[0]age
- Prompt
- UNICODEmitsuartstyle, No-LoRA, (three quarter view), 1girl, white poncho, female focus, looking down, black hair, long hair, sad, worried, nervous, cowboy shot, standing, [shaded face], dilapidated cityscape, post-apocalypse, rooftop, (skyscraper), ruins, overcast, rain, cloudy sky, scenery, <lora:MitsuArtXL:0.6>
Trigger words
You should use age 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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Model tree for Shero448/age
Base model
KBlueLeaf/kohaku-xl-beta5 Finetuned
John6666/ilustrealmix-v20-sdxl