How to use from the
Use from the
Diffusers library
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/erza")

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 \u0000s\u0000o\u0000u\u0000r\u0000c\u0000e\u0000_\u0000a\u0000n\u0000i\u0000m\u0000e\u0000,\u0000 \u0000e\u0000r\u0000z\u0000a\u0000s\u0000c\u0000a\u0000r\u0000l\u0000e\u0000t\u0000,\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000e\u0000r\u0000z\u0000a\u0000-\u0000s\u0000c\u0000a\u0000r\u0000l\u0000e\u0000t\u0000-\u0000p\u0000o\u0000n\u0000y\u0000x\u0000l\u0000-\u0000l\u0000o\u0000r\u0000a\u0000-\u0000n\u0000o\u0000c\u0000h\u0000e\u0000k\u0000a\u0000i\u0000s\u0000e\u0000r\u0000:\u00001\u0000>\u0000 \u0000e\u0000r\u0000z\u0000a\u0000 \u0000s\u0000c\u0000a\u0000r\u0000l\u0000e\u0000t\u0000,\u0000 \u0000l\u0000o\u0000n\u0000g\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000r\u0000e\u0000d\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000b\u0000e\u0000t\u0000w\u0000e\u0000e\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000b\u0000i\u0000g\u0000_\u0000b\u0000r\u0000e\u0000a\u0000s\u0000t\u0000s\u0000,\u0000 \u0000t\u0000i\u0000t\u0000s\u0000 \u0000c\u0000o\u0000m\u0000e\u0000 \u0000o\u0000u\u0000t\u0000 \u0000o\u0000f\u0000 \u0000t\u0000h\u0000e\u0000 \u0000d\u0000r\u0000e\u0000s\u0000s\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000_\u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000r\u0000e\u0000d\u0000_\u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000e\u0000x\u0000y\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000l\u0000a\u0000t\u0000e\u0000x\u0000 \u0000b\u0000i\u0000k\u0000i\u0000n\u0000i\u0000,\u0000 \u0000j\u0000e\u0000w\u0000e\u0000l\u0000r\u0000y\u0000 \u0000(\u0000r\u0000i\u0000n\u0000g\u0000s\u0000 \u0000a\u0000n\u0000d\u0000 \u0000e\u0000a\u0000r\u0000r\u0000i\u0000n\u0000g\u0000s\u0000)\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000s\u0000m\u0000i\u0000r\u0000k\u0000,\u0000 \u0000d\u0000y\u0000n\u0000a\u0000m\u0000i\u0000c\u0000 \u0000a\u0000n\u0000g\u0000l\u0000e\u0000,\u0000 \u0000d\u0000r\u0000a\u0000m\u0000a\u0000t\u0000i\u0000c\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000s\u0000,\u0000 \u0000p\u0000o\u0000r\u0000n\u0000,\u0000 \u0000h\u0000a\u0000l\u0000f\u0000 \u0000n\u0000a\u0000k\u0000e\u0000d\u0000,\u0000 \u0000s\u0000a\u0000u\u0000n\u0000a\u0000,\u0000 \u0000w\u0000e\u0000t\u0000,\u0000 \u0000b\u0000o\u0000o\u0000b\u0000s\u0000 \u0000a\u0000g\u0000a\u0000i\u0000n\u0000s\u0000t\u0000 \u0000g\u0000l\u0000a\u0000s\u0000s\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000t\u0000i\u0000e\u0000d\u0000 \u0000b\u0000a\u0000c\u0000k\u0000"
image = pipe(prompt).images[0]

erza

Prompt
UNICODE score_9, score_8_up, score_7_up, source_anime, erzascarlet, <lora:erza-scarlet-ponyxl-lora-nochekaiser:1> erza scarlet, long hair, red hair, hair between eyes, brown eyes, 1girl, big_breasts, tits come out of the dress, brown_eyes, red_hair, sexy blue latex bikini, jewelry (rings and earrings) looking at viewer, smirk, dynamic angle, dramatic lights, porn, half naked, sauna, wet, boobs against glass, hair tied back

Trigger words

You should use erza to trigger the image generation.

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Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

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