Instructions to use BlueTriangles/SDXL_Yanisuu_Young_Ohno with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BlueTriangles/SDXL_Yanisuu_Young_Ohno with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-XL-v2.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BlueTriangles/SDXL_Yanisuu_Young_Ohno") prompt = "\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000S\u0000D\u0000X\u0000L\u0000_\u0000Y\u0000a\u0000n\u0000i\u0000s\u0000u\u0000u\u0000_\u0000Y\u0000o\u0000u\u0000n\u0000g\u0000_\u0000O\u0000h\u0000n\u0000o\u0000:\u00000\u0000.\u00007\u0000>\u0000 \u0000(\u0000s\u0000d\u0000x\u0000l\u0000-\u0000y\u0000a\u0000n\u0000i\u0000s\u0000u\u0000u\u0000-\u0000y\u0000o\u0000u\u0000n\u0000g\u0000-\u0000o\u0000h\u0000n\u0000o\u0000,\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000w\u0000a\u0000v\u0000y\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000i\u0000n\u0000t\u0000a\u0000k\u0000e\u0000s\u0000,\u0000 \u0000p\u0000a\u0000r\u0000t\u0000e\u0000d\u0000 \u0000b\u0000a\u0000n\u0000g\u0000s\u0000,\u0000 \u0000f\u0000o\u0000r\u0000e\u0000h\u0000e\u0000a\u0000d\u0000,\u0000 \u0000s\u0000m\u0000a\u0000l\u0000l\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000p\u0000e\u0000t\u0000i\u0000t\u0000e\u0000)\u0000,\u0000 \u0000(\u0000g\u0000e\u0000n\u0000e\u0000r\u0000a\u0000l\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000a\u0000l\u0000o\u0000n\u0000e\u0000,\u0000 \u0000b\u0000u\u0000s\u0000t\u0000 \u0000s\u0000h\u0000o\u0000t\u0000)\u0000,\u0000 \u0000(\u0000h\u0000o\u0000l\u0000d\u0000i\u0000n\u0000g\u0000 \u0000e\u0000l\u0000b\u0000o\u0000w\u0000)\u0000,\u0000 \u0000(\u0000i\u0000n\u0000n\u0000o\u0000c\u0000e\u0000n\u0000t\u0000)\u0000,\u0000 \u0000(\u0000(\u0000r\u0000e\u0000d\u0000 \u0000h\u0000e\u0000a\u0000d\u0000s\u0000c\u0000a\u0000r\u0000f\u0000,\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000c\u0000o\u0000l\u0000l\u0000a\u0000r\u0000e\u0000d\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000s\u0000u\u0000s\u0000p\u0000e\u0000n\u0000d\u0000e\u0000r\u0000s\u0000,\u0000 \u0000y\u0000e\u0000l\u0000l\u0000o\u0000w\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000d\u0000r\u0000e\u0000s\u0000s\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000r\u0000e\u0000d\u0000 \u0000a\u0000p\u0000r\u0000o\u0000n\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000p\u0000a\u0000n\u0000t\u0000s\u0000)\u0000)\u0000,\u0000 \u0000(\u0000s\u0000i\u0000m\u0000p\u0000l\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000y\u0000e\u0000l\u0000l\u0000o\u0000w\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000:\u00001\u0000.\u00005\u0000)\u0000,\u0000 \u0000(\u0000a\u0000n\u0000i\u0000m\u0000e\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000i\u0000n\u0000g\u0000,\u0000 \u0000a\u0000n\u0000i\u0000m\u0000e\u0000 \u0000s\u0000c\u0000r\u0000e\u0000e\u0000n\u0000c\u0000a\u0000p\u0000,\u0000 \u0000a\u0000n\u0000i\u0000m\u0000e\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000s\u0000o\u0000u\u0000r\u0000c\u0000e\u0000 \u0000a\u0000n\u0000i\u0000m\u0000e\u0000,\u0000 \u0000f\u0000l\u0000a\u0000t\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000a\u0000b\u0000s\u0000u\u0000r\u0000d\u0000r\u0000e\u0000s\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000r\u0000e\u0000s\u0000,\u0000 \u0000v\u0000i\u0000b\u0000r\u0000a\u0000n\u0000t\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000s\u0000,\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000f\u0000u\u0000l\u0000,\u0000 \u0000c\u0000l\u0000e\u0000a\u0000r\u0000,\u0000 \u0000f\u0000i\u0000n\u0000e\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000)\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000d\u0000m\u0000d\u00002\u0000_\u0000s\u0000d\u0000x\u0000l\u0000_\u00004\u0000s\u0000t\u0000e\u0000p\u0000_\u0000l\u0000o\u0000r\u0000a\u0000:\u00000\u0000.\u00007\u0000>\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-XL-v2.0", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("BlueTriangles/SDXL_Yanisuu_Young_Ohno")
prompt = "\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000S\u0000D\u0000X\u0000L\u0000_\u0000Y\u0000a\u0000n\u0000i\u0000s\u0000u\u0000u\u0000_\u0000Y\u0000o\u0000u\u0000n\u0000g\u0000_\u0000O\u0000h\u0000n\u0000o\u0000:\u00000\u0000.\u00007\u0000>\u0000 \u0000(\u0000s\u0000d\u0000x\u0000l\u0000-\u0000y\u0000a\u0000n\u0000i\u0000s\u0000u\u0000u\u0000-\u0000y\u0000o\u0000u\u0000n\u0000g\u0000-\u0000o\u0000h\u0000n\u0000o\u0000,\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000w\u0000a\u0000v\u0000y\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000i\u0000n\u0000t\u0000a\u0000k\u0000e\u0000s\u0000,\u0000 \u0000p\u0000a\u0000r\u0000t\u0000e\u0000d\u0000 \u0000b\u0000a\u0000n\u0000g\u0000s\u0000,\u0000 \u0000f\u0000o\u0000r\u0000e\u0000h\u0000e\u0000a\u0000d\u0000,\u0000 \u0000s\u0000m\u0000a\u0000l\u0000l\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000p\u0000e\u0000t\u0000i\u0000t\u0000e\u0000)\u0000,\u0000 \u0000(\u0000g\u0000e\u0000n\u0000e\u0000r\u0000a\u0000l\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000a\u0000l\u0000o\u0000n\u0000e\u0000,\u0000 \u0000b\u0000u\u0000s\u0000t\u0000 \u0000s\u0000h\u0000o\u0000t\u0000)\u0000,\u0000 \u0000(\u0000h\u0000o\u0000l\u0000d\u0000i\u0000n\u0000g\u0000 \u0000e\u0000l\u0000b\u0000o\u0000w\u0000)\u0000,\u0000 \u0000(\u0000i\u0000n\u0000n\u0000o\u0000c\u0000e\u0000n\u0000t\u0000)\u0000,\u0000 \u0000(\u0000(\u0000r\u0000e\u0000d\u0000 \u0000h\u0000e\u0000a\u0000d\u0000s\u0000c\u0000a\u0000r\u0000f\u0000,\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000c\u0000o\u0000l\u0000l\u0000a\u0000r\u0000e\u0000d\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000s\u0000u\u0000s\u0000p\u0000e\u0000n\u0000d\u0000e\u0000r\u0000s\u0000,\u0000 \u0000y\u0000e\u0000l\u0000l\u0000o\u0000w\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000d\u0000r\u0000e\u0000s\u0000s\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000r\u0000e\u0000d\u0000 \u0000a\u0000p\u0000r\u0000o\u0000n\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000p\u0000a\u0000n\u0000t\u0000s\u0000)\u0000)\u0000,\u0000 \u0000(\u0000s\u0000i\u0000m\u0000p\u0000l\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000y\u0000e\u0000l\u0000l\u0000o\u0000w\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000:\u00001\u0000.\u00005\u0000)\u0000,\u0000 \u0000(\u0000a\u0000n\u0000i\u0000m\u0000e\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000i\u0000n\u0000g\u0000,\u0000 \u0000a\u0000n\u0000i\u0000m\u0000e\u0000 \u0000s\u0000c\u0000r\u0000e\u0000e\u0000n\u0000c\u0000a\u0000p\u0000,\u0000 \u0000a\u0000n\u0000i\u0000m\u0000e\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000,\u0000 \u0000s\u0000o\u0000u\u0000r\u0000c\u0000e\u0000 \u0000a\u0000n\u0000i\u0000m\u0000e\u0000,\u0000 \u0000f\u0000l\u0000a\u0000t\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000,\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000a\u0000b\u0000s\u0000u\u0000r\u0000d\u0000r\u0000e\u0000s\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000r\u0000e\u0000s\u0000,\u0000 \u0000v\u0000i\u0000b\u0000r\u0000a\u0000n\u0000t\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000s\u0000,\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000f\u0000u\u0000l\u0000,\u0000 \u0000c\u0000l\u0000e\u0000a\u0000r\u0000,\u0000 \u0000f\u0000i\u0000n\u0000e\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000)\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000d\u0000m\u0000d\u00002\u0000_\u0000s\u0000d\u0000x\u0000l\u0000_\u00004\u0000s\u0000t\u0000e\u0000p\u0000_\u0000l\u0000o\u0000r\u0000a\u0000:\u00000\u0000.\u00007\u0000>\u0000"
image = pipe(prompt).images[0]Young Ohno / Smoking Behind the Supermarket with You(若い頃の大野 in『スーパーの裏でヤニ吸うふたり』)

- Prompt
- <lora:SDXL_Yanisuu_Young_Ohno:0.7> (sdxl-yanisuu-young-ohno, light brown hair, brown eyes, short hair, wavy hair, hair intakes, parted bangs, forehead, small breasts, petite), (general, solo, alone, bust shot), (holding elbow), (innocent), ((red headscarf, shirt, collared shirt, suspenders, yellow shirt, dress shirt, red apron, black pants)), (simple background, yellow background:1.5), (anime coloring, anime screencap, anime style, source anime, flat color, masterpiece, best quality, absurdres, highres, vibrant colors, colorful, clear, finely detailed) <lora:dmd2_sdxl_4step_lora:0.7>

- Prompt
- <lora:SDXL_Yanisuu_Young_Ohno:0.7> (sdxl-yanisuu-young-ohno, light brown hair, brown eyes, short hair, wavy hair, hair intakes, parted bangs, forehead, small breasts, petite), (general, solo, alone, cowboy shot), (windblown hair), (smile), ((red headscarf, shirt, collared shirt, suspenders, yellow shirt, dress shirt, red apron, black pants)), (simple background, red background:1.5), (anime coloring, anime screencap, anime style, source anime, flat color, masterpiece, best quality, absurdres, highres, vibrant colors, colorful, clear, finely detailed) <lora:dmd2_sdxl_4step_lora:0.7>

- Prompt
- <lora:SDXL_Yanisuu_Young_Ohno:0.7> (sdxl-yanisuu-young-ohno, light brown hair, brown eyes, short hair, wavy hair, hair intakes, parted bangs, forehead, small breasts, petite), (general, solo, alone, loose close-up), (fashion pose), (innocent), ((red headscarf, shirt, collared shirt, suspenders, yellow shirt, dress shirt, red apron, black pants)), (simple background, purple background:1.5), (anime coloring, anime screencap, anime style, source anime, flat color, masterpiece, best quality, absurdres, highres, vibrant colors, colorful, clear, finely detailed) <lora:dmd2_sdxl_4step_lora:0.7>

- Prompt
- <lora:SDXL_Yanisuu_Young_Ohno:0.7> (sdxl-yanisuu-young-ohno, light brown hair, brown eyes, short hair, wavy hair, hair intakes, parted bangs, forehead, small breasts, petite), (general, solo, alone, portrait), <lora:shoulder_to_cheek-000005:0.7> (shoulder to cheek), (innocent), ((red headscarf, shirt, collared shirt, suspenders, yellow shirt, dress shirt, red apron, black pants)), (simple background, blue background:1.5), (anime coloring, anime screencap, anime style, source anime, flat color, masterpiece, best quality, absurdres, highres, vibrant colors, colorful, clear, finely detailed) <lora:dmd2_sdxl_4step_lora:0.7>

- Prompt
- <lora:SDXL_Yanisuu_Young_Ohno:0.7> (sdxl-yanisuu-young-ohno, light brown hair, brown eyes, short hair, wavy hair, hair intakes, parted bangs, forehead, small breasts, petite), (general, solo, alone, bust shot), <lora:shoulder_to_cheek-000005:0.7> (shoulder to cheek), (smile), ((red headscarf, shirt, collared shirt, suspenders, yellow shirt, dress shirt, red apron, black pants)), (simple background, red background:1.5), (anime coloring, anime screencap, anime style, source anime, flat color, masterpiece, best quality, absurdres, highres, vibrant colors, colorful, clear, finely detailed) <lora:dmd2_sdxl_4step_lora:0.7>
Model description
Appearance: sdxl-yanisuu-young-ohno, grey hair, brown eyes, short hair, wavy hair, hair intakes, parted bangs, forehead, small breasts, petite Outfit: red triangular headpiece, shirt, collared shirt, suspenders, yellow shirt, dress shirt, red apron, black pants
Trigger words
You should use sdxl-yanisuu-young-ohno to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 20