the way how this work enables us to control the structure from the images we generate is truly interesting. here are some of our favorite results so far:
INNOVATION
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ControlNet Architecture Clones Diffusion Model Weights
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the following is a general representation of ControlNet's architecture. first, it clones the weights of a diffusion model. Then, it trains the cloned weights to control the original model with the task from the input condition.
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Zero Convolutions Enable Progressive Control Learning in AI Models
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the goal of this architecture is to keep as much as possible all the knowledge learned by the original model. the trainable network learns how to perform the control in a progressive way thanks to the use of zero convolutions.
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Zero Convolutions in ControlNet: Progressive Training Influence
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zero convolutions are 1D convolutions with weights and biases initialized to 0s. note how at the beginning of the training ControlNet will not affect the original network at all, but as it gets trained it will progressively start influencing the generation with the condition.
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ControlNet Architecture with Stable Diffusion Explained
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the following is a representation of ControlNet's architecture when used with Stable Diffusion
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ControlNet: Guide complet du fonctionnement et des applications
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what is ControlNet and how does it work?
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ControlNet: Conditioning Diffusion Models on Arbitrary Input Features
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ControlNet is a method that can be used to condition diffusion models on arbitrary input features, such as image edges, segmentation maps, or human poses.
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Finding Purpose in AI Work and Mission-Driven Technology
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everyone should work a job that they love so much that they wish they could work harder at I feel that viscerally now at @scale_AI
—every waking second can be spent to ensure that the technology reaches maximum positive potential AI, defense—these are missions worth fighting for -
AI Model Interprets Show More Less Signals for Better Feed Content
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We trained an AI model to effectively interpret intent behind “Show More” & “Show Less” signals to surface more of the content people want to see in their Feeds — even if they rarely interact with the signals. More on how we built it https://
bit.ly/3Edj08k -
Four Tips for Developing Your Professional Skill Sets
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Four Tips For Developing Your Skill Sets https://
forbes.com/sites/forbesco
achescouncil/2021/02/18/four-tips-for-developing-your-skill-sets
… @ASMEdotorg @3DSNorthAmerica @cyngn @MargaretSiegien @3DSdelmia @3DStherese @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Science #Engineering #Technology #SET