Description:
Controlnet Pose is used to create images that have the same pose as a person in the input image. It uses stable diffusion and control to copy neural network blocks in “locked” and “trained” copy. The user can determine the number of samples, the image resolution, the guideline scale, the seed, the ETA, the added call, the negative call and the detection resolution. The forecasts usually end in 21 seconds. Discover more about ControlNet Pose Tool
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