import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("John6666/prefect-pony-xl-v3-sdxl", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Shero448/kagefusa2")
prompt = "UNICODE\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 \u0000u\u0000n\u0000c\u0000e\u0000n\u0000s\u0000o\u0000r\u0000e\u0000d\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000M\u0000a\u0000n\u0000y\u0000u\u0000u\u0000 \u0000K\u0000a\u0000g\u0000e\u0000f\u0000u\u0000s\u0000a\u0000,\u0000 \u0000a\u0000h\u0000o\u0000g\u0000e\u0000,\u0000 \u0000s\u0000i\u0000l\u0000v\u0000e\u0000r\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000y\u0000e\u0000l\u0000l\u0000o\u0000w\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000g\u0000i\u0000g\u0000a\u0000n\u0000t\u0000i\u0000c\u0000 \u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000b\u0000u\u0000s\u0000t\u0000y\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000.\u0000 \u0000m\u0000a\u0000s\u0000t\u0000e\u0000r\u0000p\u0000i\u0000e\u0000c\u0000e\u0000.\u0000 \u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000 \u0000a\u0000r\u0000t\u0000w\u0000o\u0000r\u0000k\u0000,\u0000 \u0000t\u0000h\u0000i\u0000c\u0000k\u0000 \u0000f\u0000e\u0000m\u0000a\u0000l\u0000e\u0000 \u0000b\u0000o\u0000d\u0000y\u0000.\u0000 \u0000f\u0000c\u0000P\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000.\u0000 \u0000v\u0000o\u0000l\u0000u\u0000p\u0000t\u0000u\u0000o\u0000u\u0000s\u0000,\u0000 \u0000w\u0000i\u0000d\u0000e\u0000 \u0000h\u0000i\u0000p\u0000s\u0000.\u0000 \u0000t\u0000h\u0000i\u0000c\u0000k\u0000 \u0000t\u0000h\u0000i\u0000g\u0000h\u0000s\u0000.\u0000 \u0000o\u0000f\u0000f\u0000i\u0000c\u0000i\u0000a\u0000l\u0000 \u0000s\u0000t\u0000y\u0000l\u0000e\u0000.\u0000 \u0000b\u0000e\u0000a\u0000c\u0000h\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000 \u0000s\u0000u\u0000n\u0000s\u0000e\u0000t\u0000.\u0000 \u0000h\u0000a\u0000p\u0000p\u0000y\u0000.\u0000 \u0000p\u0000i\u0000n\u0000k\u0000 \u0000b\u0000i\u0000k\u0000i\u0000n\u0000i\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000e\u0000g\u0000 \u0000b\u0000i\u0000k\u0000i\u0000n\u0000i\u0000,\u0000 \u0000c\u0000l\u0000e\u0000a\u0000v\u0000a\u0000g\u0000e\u0000.\u0000 \u0000s\u0000e\u0000x\u0000y\u0000.\u0000 \u0000c\u0000o\u0000o\u0000l\u0000 \u0000p\u0000o\u0000s\u0000e\u0000.\u0000 \u0000s\u0000i\u0000d\u0000e\u0000 \u0000v\u0000i\u0000e\u0000w\u0000.\u0000 \u0000p\u0000o\u0000s\u0000i\u0000n\u0000g\u0000.\u0000 \u0000o\u0000n\u0000 \u0000s\u0000t\u0000o\u0000m\u0000a\u0000c\u0000h\u0000.\u0000"
image = pipe(prompt).images[0]kagefusa2
- Prompt
- UNICODE score_9, score_8_up, score_7_up, uncensored, solo, 1girl, Manyuu Kagefusa, ahoge, silver hair, yellow eyes, gigantic breasts, busty, high quality. masterpiece. perfect artwork, thick female body. fcPortrait. voluptuous, wide hips. thick thighs. official style. beach background, sunset. happy. pink bikini, highleg bikini, cleavage. sexy. cool pose. side view. posing. on stomach.
Trigger words
You should use Manyuu Kagefusa 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/kagefusa2
Base model
John6666/prefect-pony-xl-v3-sdxl