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10 de feb. de 2023 · View PDF Abstract: We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large diffusion models, and reuses their deep and robust encoding layers pretrained with billions of images as a strong backbone to learn a diverse set of conditional controls.
Weight is the weight of the controlnet "influence". It's analogous to prompt attention/emphasis. E.g. (myprompt: 1.2). Technically, it's the factor by which to multiply the ControlNet outputs before merging them with original SD Unet. Guidance Start/End is the percentage of total steps the controlnet applies (guidance strength = guidance end).
24 de mar. de 2023 · Training your own ControlNet requires 3 steps: Planning your condition: ControlNet is flexible enough to tame Stable Diffusion towards many tasks. The pre-trained models showcase a wide-range of conditions, and the community has built others, such as conditioning on pixelated color palettes. Building your dataset: Once a condition is decided ...
ControlNet-v1-1. like. 3.29k. License: openrail. Model card Files Community. 120. Edit model card. This is the model files for ControlNet 1.1 . This model card will be filled in a more detailed way after 1.1 is officially merged into ControlNet.
4 de abr. de 2023 · To mitigate this issue, we have a new Stable Diffusion based neural network for image generation, ControlNet . ControlNet is a new way of conditioning input images and prompts for image generation. It allows us to control the final image generation through various techniques like pose, edge detection, depth maps, and many more.
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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