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cumshot to trigger the image generation.1from diffusers import AutoPipelineForText2Image
2import torch
3
4pipeline = AutoPipelineForText2Image.from_pretrained('Wan-AI/Wan2.1-I2V-14B-480P-Diffusers', torch_dtype=torch.bfloat16).to('cuda')
5pipeline.load_lora_weights('d14945921/wan_cumeneitor_img480_81res-lora', weight_name='wan_cumeneitor_img480_81res.safetensors')
6image = pipeline('cumshot').images[0]
7image.save("my_image.png")