ControlNet

In this stream we look at ControlNet, specifically the associated paper "Adding Conditional Control to Text-to-Image Diffusion Models"

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#machinelearning #ai #stablediffusion #generativeart

[Zoronoa]

Thank you for the amazing explanation!

[SickEternity]

Thank you for the clear explanations. They really helped me a lot.

[joyshen]

Super super helpful, I learned a lot, thank you very much!

[thegistofcalculus]

I wonder if the densenet trick could improve cohesion of stable diffusion images.

[vlwppei]

Thank you very much! I gained a lot from this. Could you create a video tutorial on running the code for this paper? I'm having difficulty with it. I downloaded the code but I'm unsure about how to train and test it. I've been trying to learn from the paper along with the code and implement it. Is there any way you could assist me with this? I'm willing to compensate you for your assistance as a tutor, acknowledging your time and effort. I have a strong desire to learn and execute the code to acquire a deeper understanding of vulnerability knowledge. I'm new to this field, and I lack experience in the processes of running, training and testing the model.