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("VitoCorleone72/AP")
prompt = "UNICODE\u0000\u0000M\u0000i\u0000d\u0000-\u0000s\u0000h\u0000o\u0000t\u0000 \u0000p\u0000o\u0000r\u0000t\u0000r\u0000a\u0000i\u0000t\u0000 \u0000o\u0000f\u0000 \u0000a\u0000 \u0000w\u0000o\u0000m\u0000a\u0000n\u0000 \u0000a\u0000u\u0000b\u0000r\u0000e\u0000y\u0000 \u0000p\u0000l\u0000a\u0000z\u0000a\u0000 \u0000i\u0000n\u0000 \u0000a\u0000n\u0000 \u0000h\u0000i\u0000 \u0000t\u0000e\u0000c\u0000h\u0000 \u0000o\u0000f\u0000f\u0000i\u0000c\u0000e\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000b\u0000l\u0000a\u0000z\u0000e\u0000r\u0000 \u0000a\u0000n\u0000d\u0000 \u0000a\u0000 \u0000s\u0000h\u0000i\u0000r\u0000t\u0000 \u0000u\u0000n\u0000d\u0000e\u0000r\u0000 \u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000a\u0000u\u0000b\u0000r\u0000e\u0000y\u0000_\u0000p\u0000l\u0000a\u0000z\u0000a\u0000_\u0000f\u0000l\u0000u\u0000x\u0000_\u0000l\u0000o\u0000r\u0000a\u0000_\u0000v\u00001\u0000_\u00000\u00000\u00000\u00000\u00000\u00002\u00000\u00000\u00000\u0000:\u00001\u0000>\u0000"
image = pipe(prompt).images[0]AP
- Prompt
- UNICODEMid-shot portrait of a woman aubrey plaza in an hi tech office with blazer and a shirt under <lora:aubrey_plaza_flux_lora_v1_000002000:1>
Trigger words
You should use aybrey plaza to trigger the image generation.
Download model
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Base model
black-forest-labs/FLUX.1-dev