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("Nesslovver/Fbqr")
prompt = "UNICODE\u0000\u0000A\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000 \u0000s\u0000t\u0000i\u0000l\u0000l\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000c\u0000u\u0000r\u0000v\u0000y\u0000 \u00002\u00001\u0000 \u0000y\u0000e\u0000a\u0000r\u0000 \u0000o\u0000l\u0000d\u0000 \u0000W\u0000o\u0000m\u0000a\u0000n\u0000,\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000d\u0000a\u0000r\u0000k\u0000 \u0000r\u0000e\u0000d\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000t\u0000i\u0000e\u0000d\u0000 \u0000i\u0000n\u0000t\u0000o\u0000 \u0000a\u0000 \u0000s\u0000t\u0000y\u0000l\u0000i\u0000s\u0000h\u0000 \u0000b\u0000u\u0000n\u0000 \u0000o\u0000n\u0000 \u0000t\u0000o\u0000p\u0000 \u0000o\u0000f\u0000 \u0000h\u0000e\u0000r\u0000 \u0000h\u0000e\u0000a\u0000d\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000b\u0000o\u0000l\u0000d\u0000 \u0000r\u0000e\u0000d\u0000 \u0000l\u0000i\u0000p\u0000s\u0000t\u0000i\u0000c\u0000k\u0000 \u0000a\u0000n\u0000d\u0000 \u0000l\u0000a\u0000r\u0000g\u0000e\u0000 \u0000h\u0000o\u0000o\u0000p\u0000e\u0000d\u0000 \u0000s\u0000i\u0000l\u0000v\u0000e\u0000r\u0000 \u0000e\u0000a\u0000r\u0000r\u0000i\u0000n\u0000g\u0000s\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000h\u0000a\u0000s\u0000 \u0000f\u0000r\u0000e\u0000c\u0000k\u0000l\u0000e\u0000s\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000i\u0000s\u0000 \u0000p\u0000o\u0000s\u0000i\u0000n\u0000g\u0000 \u0000h\u0000a\u0000p\u0000p\u0000i\u0000l\u0000y\u0000 \u0000i\u0000n\u0000 \u0000a\u0000n\u0000 \u0000u\u0000n\u0000t\u0000i\u0000d\u0000y\u0000 \u0000s\u0000t\u0000u\u0000d\u0000e\u0000n\u0000t\u0000 \u0000l\u0000o\u0000u\u0000n\u0000g\u0000e\u0000,\u0000 \u0000h\u0000o\u0000l\u0000d\u0000i\u0000n\u0000g\u0000 \u0000h\u0000e\u0000r\u0000 \u0000h\u0000a\u0000n\u0000d\u0000 \u0000u\u0000p\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000p\u0000e\u0000a\u0000c\u0000e\u0000 \u0000s\u0000i\u0000g\u0000n\u0000.\u0000 \u0000S\u0000h\u0000e\u0000 \u0000i\u0000s\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000a\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000p\u0000l\u0000e\u0000a\u0000t\u0000e\u0000d\u0000 \u0000s\u0000e\u0000q\u0000u\u0000i\u0000n\u0000n\u0000e\u0000d\u0000 \u0000m\u0000i\u0000n\u0000i\u0000 \u0000s\u0000k\u0000i\u0000r\u0000t\u0000 \u0000a\u0000n\u0000d\u0000 \u0000a\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000 \u0000c\u0000o\u0000l\u0000o\u0000u\u0000r\u0000e\u0000d\u0000 \u0000g\u0000l\u0000i\u0000t\u0000t\u0000e\u0000r\u0000y\u0000,\u0000 \u0000s\u0000p\u0000a\u0000r\u0000k\u0000l\u0000y\u0000 \u0000p\u0000e\u0000p\u0000l\u0000u\u0000m\u0000 \u0000t\u0000o\u0000p\u0000.\u0000 \u0000f\u0000b\u0000p\u0000h\u0000o\u0000t\u0000o\u0000,\u0000 \u0000f\u0000b\u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000f\u0000b\u0000p\u0000h\u0000o\u0000t\u0000o\u0000_\u0000s\u0000t\u0000y\u0000l\u0000e\u0000"
image = pipe(prompt).images[0]Facebook quality
- Prompt
- UNICODEA photo realistic still of a curvy 21 year old Woman, with dark red hair tied into a stylish bun on top of her head. She has bold red lipstick and large hooped silver earrings. She has freckles, and is posing happily in an untidy student lounge, holding her hand up in a peace sign. She is wearing a short pleated sequinned mini skirt and a light coloured glittery, sparkly peplum top. fbphoto, fbquality, fbphoto_style
Trigger words
You should use fbphoto to trigger the image generation.
You should use fbquality to trigger the image generation.
You should use fbphoto_style 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 Nesslovver/Fbqr
Base model
black-forest-labs/FLUX.1-dev