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qwfx1111 to trigger the image generation.1from diffusers import AutoPipelineForText2Image
2import torch
3
4pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-Kontext-dev', torch_dtype=torch.bfloat16).to('cuda')
5pipeline.load_lora_weights('sashasvetov/qwfx1111-lora', weight_name='qwfx1111_000002250.safetensors')
6image = pipeline('qwfx1111').images[0]
7image.save("my_image.png")