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
Watch video Stable Diffusion ControlNet Explained | Control Net Examples online without registration, duration hours minute second in high quality. This video was added by user 1littlecoder 27 February 2023, don't forget to share it with your friends and acquaintances, it has been viewed on our site 29,852 once and liked it 641 people.