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ControlNet. like 3.46k. License: openrail. Model card Files Files and versions Community 58 main ControlNet / models. 1 contributor; History: 1 commit. lllyasviel First model version. 38a62cb about 1 year ago. control_sd15_canny.pth. pickle. Detected Pickle imports (4)
4 de jun. de 2023 · Learn ControlNet for stable diffusion to create stunning images. Explore control types and preprocessors. LinksControlnet Github: https: ...
ControlNet. ControlNet models are adapters trained on top of another pretrained model. It allows for a greater degree of control over image generation by conditioning the model with an additional input image. The input image can be a canny edge, depth map, human pose, and many more. If you’re training on a GPU with limited vRAM, you should ...
With a ControlNet model, you can provide an additional control image to condition and control Stable Diffusion generation. For example, if you provide a depth map, the ControlNet model generates an image that’ll preserve the spatial information from the depth map. It is a more flexible and accurate way to control the image generation process.
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controlnet_conditioning_scale (float or List[float], optional, defaults to 1.0) — The outputs of the controlnet are multiplied by controlnet_conditioning_scale before they are added to the residual in the original unet. If multiple ControlNets are specified in init, you can set the corresponding scale as a list.
