from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/z-tao', weight_name='z-tao.safetensors')
image = pipeline('A person in a korean rich hotel Z.TAO, pink-purple hair color, white suit best quality, real photo, 26K, Jungkook earrings').images[0]
image.save("my_image.png")
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