Instructions to use diaskssq321/Sakura_Wars with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diaskssq321/Sakura_Wars 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("diaskssq321/Sakura_Wars") prompt = "UNICODE\u0000\u0000K\u0000a\u0000n\u0000z\u0000a\u0000k\u0000i\u0000 \u0000S\u0000u\u0000m\u0000i\u0000r\u0000e\u0000,\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000j\u0000a\u0000p\u0000a\u0000n\u0000e\u0000s\u0000e\u0000 \u0000c\u0000l\u0000o\u0000t\u0000h\u0000e\u0000s\u0000,\u0000s\u0000o\u0000l\u0000o\u0000,\u0000p\u0000u\u0000r\u0000p\u0000l\u0000e\u0000 \u0000k\u0000i\u0000m\u0000o\u0000n\u0000o\u0000,\u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000m\u0000o\u0000l\u0000e\u0000 \u0000u\u0000n\u0000d\u0000e\u0000r\u0000 \u0000e\u0000y\u0000e\u0000,\u0000f\u0000l\u0000o\u0000r\u0000a\u0000l\u0000 \u0000p\u0000r\u0000i\u0000n\u0000t\u0000,\u0000h\u0000a\u0000i\u0000r\u0000b\u0000a\u0000n\u0000d\u0000,\u0000c\u0000h\u0000o\u0000k\u0000e\u0000r\u0000,\u0000s\u0000a\u0000s\u0000h\u0000,\u0000o\u0000f\u0000f\u0000 \u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000,\u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000c\u0000o\u0000l\u0000l\u0000a\u0000r\u0000b\u0000o\u0000n\u0000e\u0000,\u0000o\u0000b\u0000i\u0000,\u0000r\u0000i\u0000b\u0000b\u0000o\u0000n\u0000 \u0000c\u0000h\u0000o\u0000k\u0000e\u0000r\u0000,\u0000b\u0000a\u0000r\u0000e\u0000 \u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000s\u0000,\u0000c\u0000l\u0000e\u0000a\u0000v\u0000a\u0000g\u0000e\u0000,\u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000m\u0000e\u0000d\u0000i\u0000u\u0000m\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000l\u0000i\u0000g\u0000h\u0000t\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000l\u0000o\u0000n\u0000g\u0000 \u0000s\u0000l\u0000e\u0000e\u0000v\u0000e\u0000s\u0000,\u0000b\u0000a\u0000n\u0000g\u0000s\u0000,\u0000r\u0000i\u0000b\u0000b\u0000o\u0000n\u0000,\u00001\u00009\u00009\u00000\u0000s\u0000 \u0000\\\u0000(\u0000s\u0000t\u0000y\u0000l\u0000e\u0000\\\u0000)\u0000,\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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("diaskssq321/Sakura_Wars")
prompt = "UNICODE\u0000\u0000K\u0000a\u0000n\u0000z\u0000a\u0000k\u0000i\u0000 \u0000S\u0000u\u0000m\u0000i\u0000r\u0000e\u0000,\u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000j\u0000a\u0000p\u0000a\u0000n\u0000e\u0000s\u0000e\u0000 \u0000c\u0000l\u0000o\u0000t\u0000h\u0000e\u0000s\u0000,\u0000s\u0000o\u0000l\u0000o\u0000,\u0000p\u0000u\u0000r\u0000p\u0000l\u0000e\u0000 \u0000k\u0000i\u0000m\u0000o\u0000n\u0000o\u0000,\u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000m\u0000o\u0000l\u0000e\u0000 \u0000u\u0000n\u0000d\u0000e\u0000r\u0000 \u0000e\u0000y\u0000e\u0000,\u0000f\u0000l\u0000o\u0000r\u0000a\u0000l\u0000 \u0000p\u0000r\u0000i\u0000n\u0000t\u0000,\u0000h\u0000a\u0000i\u0000r\u0000b\u0000a\u0000n\u0000d\u0000,\u0000c\u0000h\u0000o\u0000k\u0000e\u0000r\u0000,\u0000s\u0000a\u0000s\u0000h\u0000,\u0000o\u0000f\u0000f\u0000 \u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000,\u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000c\u0000o\u0000l\u0000l\u0000a\u0000r\u0000b\u0000o\u0000n\u0000e\u0000,\u0000o\u0000b\u0000i\u0000,\u0000r\u0000i\u0000b\u0000b\u0000o\u0000n\u0000 \u0000c\u0000h\u0000o\u0000k\u0000e\u0000r\u0000,\u0000b\u0000a\u0000r\u0000e\u0000 \u0000s\u0000h\u0000o\u0000u\u0000l\u0000d\u0000e\u0000r\u0000s\u0000,\u0000c\u0000l\u0000e\u0000a\u0000v\u0000a\u0000g\u0000e\u0000,\u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000m\u0000e\u0000d\u0000i\u0000u\u0000m\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000l\u0000i\u0000g\u0000h\u0000t\u0000 \u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000l\u0000o\u0000n\u0000g\u0000 \u0000s\u0000l\u0000e\u0000e\u0000v\u0000e\u0000s\u0000,\u0000b\u0000a\u0000n\u0000g\u0000s\u0000,\u0000r\u0000i\u0000b\u0000b\u0000o\u0000n\u0000,\u00001\u00009\u00009\u00000\u0000s\u0000 \u0000\\\u0000(\u0000s\u0000t\u0000y\u0000l\u0000e\u0000\\\u0000)\u0000,\u0000"
image = pipe(prompt).images[0]Sakura_Wars

- Prompt
- UNICODEKanzaki Sumire,1girl,japanese clothes,solo,purple kimono,brown hair,short hair,mole under eye,floral print,hairband,choker,sash,off shoulder,breasts,collarbone,obi,ribbon choker,bare shoulders,cleavage,smile,medium breasts,light smile,long sleeves,bangs,ribbon,1990s \(style\),

- Prompt
- UNICODEKitaoji Hanabi,1girl,solo,short hair,black hair,upper body,bob cut,bow,bangs,black eyes,simple background,retro artstyle,1990s (style),blunt bangs,bowtie,looking at viewer,smile,long sleeves,white background,closed mouth,black clothes,hand on own face,

- Prompt
- UNICODEShinguji Sakura,1girl,solo,cowboy shot,smile,open mouth,looking at viewer,upper body,black hair,high ponytail,hair ribbon,red ribbon,red bow,ponytail,white pants,uniform,military uniform,pink jacket,white gloves,white ascot,cherry blossoms,gloves,long hair,bow,hair bow,military,jacket,petals,brown eyes,bangs,
Trigger words
You should use Shinguji Sakura to trigger the image generation.
You should use Kanzaki Sumire to trigger the image generation.
You should use Maria Tachibana 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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