import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Phr00t/Qwen-Image-Edit-Rapid-AIO", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("sam11113/lll")
prompt = "UNICODE\u0000\u0000 \u0000 \u0000B\u0000e\u0000u\u0000t\u0000y\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:\u00001\u0000.\u00008\u0000)\u0000,\u0000 \u0000r\u0000a\u0000t\u0000i\u0000n\u0000g\u0000_\u0000s\u0000a\u0000f\u0000e\u0000,\u0000 \u0000r\u0000a\u0000t\u0000i\u0000n\u0000g\u0000_\u0000e\u0000x\u0000p\u0000l\u0000i\u0000c\u0000i\u0000t\u0000,\u0000n\u0000s\u0000f\u0000w\u0000,\u0000r\u0000e\u0000a\u0000d\u0000 \u0000d\u0000e\u0000s\u0000c\u0000r\u0000i\u0000p\u0000t\u0000i\u0000o\u0000n\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000f\u0000o\u0000r\u0000 \u0000a\u0000 \u0000v\u0000i\u0000e\u0000w\u0000e\u0000r\u0000,\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000c\u0000o\u0000s\u0000t\u0000u\u0000m\u0000e\u0000"
image = pipe(prompt).images[0]sd
- Prompt
- UNICODE Beuty(score_9, score_8_up, score_7_up:1.8), rating_safe, rating_explicit,nsfw,read description, looking for a viewer, in a costume
Model description
agir
Trigger words
You should use lulu to trigger the image generation.
Download model
Download them in the Files & versions tab.
- Downloads last month
- 12
Model tree for sam11113/lll
Base model
Qwen/Qwen-Image-Edit-2511 Finetuned
Phr00t/Qwen-Image-Edit-Rapid-AIO