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Stable Diffusion ControlNet Explained | Control Net Examples
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ControlNet is a neural network structure to control diffusion models by adding extra conditions. It copies the weights of neural network blocks into a "locked" copy and a "trainable" copy. The "trainable" one learns your condition. The "locked" one preserves your model. Thanks to this, training with small dataset of image pairs will not destroy the production-ready diffusion models.
References:
References:
Stable Diffusion ControlNet Explained | Control Net Examples
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