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sopa-ahe to trigger the image generation.1from diffusers import AutoPipelineForText2Image
2import torch
3
4pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
5pipeline.load_lora_weights('utkarsh2512/Noson', weight_name='lora.safetensors')
6image = pipeline('your prompt').images[0]