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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 ...
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).
22 de feb. de 2023 · Vamos a explicarte qué es y cómo funciona ControlNet, una tecnología de Inteligencia Artificial para crear imágenes super realistas.Se trata de una extensión creada para Stable Diffusion, que ...
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. Figure 1.
13 de abr. de 2023 · main. ControlNet-v1-1. 1 contributor. History: 10 commits. lllyasviel. Delete control_v11u_sd15_tile.pth. 69fc48b about 1 year ago. .gitattributes. 1.48 kB initial commit about 1 year ago.
ControlNet-v1-1. like. 3.32k. 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.
This is the official release of ControlNet 1.1. ControlNet 1.1 has the exactly same architecture with ControlNet 1.0. We promise that we will not change the neural network architecture before ControlNet 1.5 (at least, and hopefully we will never change the network architecture). Perhaps this is the best news in ControlNet 1.1.
