Stable Diffusion ControlNet Explained | Control Net Examples
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:
ControlNet Github Repo - https://github.com/lllyasviel/ControlNet
ControlNet Growth / 1630259781742067718
ControlNet Models - https://huggingface.co/models?sort=li...
MagicPose / 1626486302962245633
ControlNet Edge (Logo Landscape) - / 1630360159808634880
MultiControlNet - / 1629632110456602631
ControlNet Consistent Images - / 3
ControlNet Dreambooth - / 1630442372206133248
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