Instructions to use Shero448/hanako with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shero448/hanako with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("John6666/prefect-pony-xl-v2-cleaned-style-sdxl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Shero448/hanako") prompt = "UNICODE\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 \u0000u\u0000l\u0000t\u0000r\u0000a\u0000-\u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000i\u0000l\u0000l\u0000u\u0000s\u0000t\u0000r\u0000a\u0000t\u0000i\u0000o\u0000n\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000s\u0000h\u0000a\u0000d\u0000o\u0000w\u0000,\u0000 \u0000a\u0000b\u0000s\u0000u\u0000r\u0000d\u0000r\u0000e\u0000s\u0000,\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000v\u0000e\u0000r\u0000y\u0000 \u0000a\u0000e\u0000s\u0000t\u0000h\u0000e\u0000t\u0000i\u0000c\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000r\u0000e\u0000s\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00009\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00008\u0000_\u0000u\u0000p\u0000,\u0000 \u0000s\u0000c\u0000o\u0000r\u0000e\u0000_\u00007\u0000_\u0000u\u0000p\u0000,\u0000 \u0000a\u0000n\u0000i\u0000m\u0000e\u0000_\u0000s\u0000o\u0000u\u0000r\u0000c\u0000e\u0000,\u0000 \u0000s\u0000o\u0000u\u0000r\u0000c\u0000e\u0000_\u0000a\u0000n\u0000i\u0000m\u0000e\u0000,\u0000 \u0000a\u0000n\u0000i\u0000m\u0000e\u0000_\u0000s\u0000c\u0000r\u0000e\u0000e\u0000n\u0000c\u0000a\u0000p\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000l\u0000o\u0000n\u0000e\u0000l\u0000y\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000v\u0000o\u0000l\u0000u\u0000p\u0000t\u0000u\u0000o\u0000u\u0000s\u0000,\u0000 \u0000c\u0000u\u0000r\u0000v\u0000y\u0000,\u0000 \u0000r\u0000e\u0000d\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000b\u0000l\u0000o\u0000n\u0000d\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000-\u0000c\u0000o\u0000l\u0000l\u0000a\u0000r\u0000e\u0000d\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000s\u0000l\u0000e\u0000e\u0000v\u0000e\u0000s\u0000,\u0000 \u0000b\u0000l\u0000a\u0000c\u0000k\u0000 \u0000p\u0000a\u0000n\u0000t\u0000s\u0000,\u0000 \u0000b\u0000e\u0000l\u0000t\u0000,\u0000 \u0000n\u0000e\u0000u\u0000t\u0000r\u0000a\u0000l\u0000 \u0000e\u0000x\u0000p\u0000r\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000,\u0000 \u0000a\u0000n\u0000g\u0000r\u0000y\u0000,\u0000 \u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000,\u0000 \u0000 \u0000h\u0000a\u0000n\u0000d\u0000 \u0000o\u0000n\u0000 \u0000h\u0000i\u0000p\u0000,\u0000 \u0000s\u0000i\u0000m\u0000p\u0000l\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
hanako

- Prompt
- UNICODE masterpiece, best quality, ultra-detailed, best illustration, best shadow, absurdres, detailed background, very aesthetic, highly detailed, highres, high quality, best quality, score_9, score_8_up, score_7_up, anime_source, source_anime, anime_screencap, looking at viewer, 1girl, lonely, solo, solo focus, large breasts, voluptuous, curvy, red eyes, short hair, blonde hair, dark blue shirt, white-collared shirt, long sleeves, black pants, belt, neutral expression, angry, standing, hand on hip, simple background,
Trigger words
You should use hanako 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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