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ControlNet Online. ControlNet is a neural network structure to control diffusion models by adding extra conditions, a game changer for AI Image generation. It brings unprecedented levels of control to Stable Diffusion. The revolutionary thing about ControlNet is its solution to the problem of spatial consistency.
16 de mar. de 2024 · ControlNet can be used with any v1 or v2 models. This point is huge because v2 models are notoriously hard to use. People have a hard time generating good images. The fact that ControlNet can use any v1 model not only opened up depth conditioning to the v1.5 base model, but also thousands of special models that were released by the community.
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ControlNet. ControlNet is a type of model for controlling image diffusion models by conditioning the model with an additional input image. There are many types of conditioning inputs (canny edge, user sketching, human pose, depth, and more) you can use to control a diffusion model. This is hugely useful because it affords you greater control ...
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3 de mar. de 2023 · The diffusers implementation is adapted from the original source code. Training ControlNet is comprised of the following steps: Cloning the pre-trained parameters of a Diffusion model, such as Stable Diffusion's latent UNet, (referred to as “trainable copy”) while also maintaining the pre-trained parameters separately (”locked copy”).
