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cumshot to trigger the image generation.1from diffusers import AutoPipelineForText2Image
2import torch
3
4pipeline = AutoPipelineForText2Image.from_pretrained('ai-toolkit/Wan2.2-T2V-A14B-Diffusers-bf16', torch_dtype=torch.bfloat16).to('cuda')
5pipeline.load_lora_weights('d14945921/wan22cumeneitor-lora', weight_name='wan22cumeneitor_low_noise.safetensors')
6image = pipeline('cumshot').images[0]
7image.save("my_image.png")