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homer 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.bfloat16).to('cuda')
5pipeline.load_lora_weights('openfree/winslow-homer', weight_name='winslow-homer.safetensors')
6image = pipeline('a watercolor painting of birds flying over a body of water, with trees in the foreground and a sky filled with clouds in the background. [trigger]').images[0]
7image.save("my_image.png")