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CatalogAI / Machine LearningControlNet
ControlNet

ControlNet

Lvmin Zhang

ControlNet is a neural network structure that controls diffusion models by adding extra conditions, enabling precise control over image generation through depth maps, edge detection, pose estimation, and other conditioning inputs.

AI / Machine LearningCreative & EngineeringFree
#depth-estimation#stable-diffusion-alternative#plug-and-play-architecture#pose-estimation#canny-edge-detection#computer-vision#ai-art#controlnet#conditional-image-generation#hed-edge-detection#image-generation#neural-networks#edge-detection#diffusion-models#openpose
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About

ControlNet is a neural network architecture that adds conditional control to large diffusion models such as Stable Diffusion. By integrating spatial guidance from inputs like Canny edges, human poses (OpenPose), or depth maps, it allows users to influence the structure and layout…

Deployment Options

0 stacks

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Stacks

Author

Lvmin Zhang

Project page

Tags

#depth-estimation#stable-diffusion-alternative#plug-and-play-architecture#pose-estimation#canny-edge-detection#computer-vision#ai-art#controlnet#conditional-image-generation#hed-edge-detection#image-generation#neural-networks#edge-detection#diffusion-models#openpose
How to deploy with PodWarden