The ControlNet Pose tool is designed to create images with the same pose as the input image's person. It employs Stable Diffusion and Controlnet techniques to copy the neural network blocks' weights into a "locked" and "trainable" copy. The tool allows the user to set parameters like the number of samples, image resolution, guidance scale, seed, eta, added prompt, negative prompt, and resolution for detection. The prediction process typically takes around 21 seconds.
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