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("emptyluve/Lilly1")
prompt = "UNICODE\u0000\u0000l\u0000i\u0000l\u0000l\u0000y\u0000x\u0000x\u0000o\u0000,\u0000 \u0000b\u0000l\u0000o\u0000n\u0000d\u0000e\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000g\u0000r\u0000e\u0000e\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000w\u0000a\u0000v\u0000y\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000f\u0000a\u0000i\u0000r\u0000 \u0000s\u0000k\u0000i\u0000n\u0000,\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000m\u0000a\u0000k\u0000e\u0000u\u0000p\u0000,\u0000"
image = pipe(prompt).images[0]Lilly
- Prompt
- UNICODElillyxxo, blonde hair, green eyes, wavy hair, fair skin, natural makeup,
Model description
lilly model
Trigger words
You should use lillyxoxo to trigger the image generation.
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Model tree for emptyluve/Lilly1
Base model
black-forest-labs/FLUX.1-dev