1/31/2024 0 Comments Inpaint downloading![]() Some reasonable data augmentations are applied to training, like random left-right flipping.This means this model will work better with different depth estimation, different preprocessor resolutions, or even with real depth created by 3D engines. It is not over-fitted to one preprocessor. It is not trained with some specific type of depth by some specific depth estimation method. The new depth model is a relatively unbiased model.The new model fixed all problems of the training dataset and should be more reasonable in many cases. ![]() The training dataset of previous cnet 1.0 has several problems including (1) a small group of greyscale human images are duplicated thousands of times (!!), causing the previous model somewhat likely to generate grayscale human images (2) some images has low quality, very blurry, or significant JPEG artifacts (3) a small group of images has wrong paired prompts caused by a mistake in our data processing scripts.We uploaded the correct depth model as "control_v11f1p_sd15_depth". That model is not converged and may cause distortion in results. That model is an intermediate checkpoint during the training. Non-cherry-picked batch test with random seed 12345 ("a handsome man"):Ĥ: 72 hours ago we uploaded a wrong model "control_v11p_sd15_depth" by mistake. We hope that this naming rule can improve the user experience.ĬontrolNet 1.1 include 14 models (11 production-ready models and 3 experimental models): Starting from ControlNet 1.1, we begin to use the Standard ControlNet Naming Rules (SCNNRs) to name all models. The ControlNet project perfectly supports combining multiple ControlNets, and all production-ready ControlNets are extensively tested with multiple ControlNets combined. Please use Automatic1111 with Multi-ControlNet if you want to use multiple ControlNets at the same time. Note that our official support for “Multi-ControlNet” is A1111-only. (You can ignore all installation steps in this page if you use A1111.)įor researchers who are not familiar with A1111: The A1111 plugin supports arbitrary combination of arbitrary number of ControlNets, arbitrary community models, arbitrary LoRAs, and arbitrary sampling methods! We should definitely try it! Note that if you use A1111, you only need to follow the instructions in the above link. Again, do NOT install "ControlNet-v1-1-nightly" into your A1111. This project is for research use and academic experiments. If you want to use ControlNet 1.1 in A1111, you only need to install, and only follow the instructions in that page. Please do not copy the URL of this repo into your A1111. This Github Repo is NOT an A1111 Extension The information in this page will be more detailed and finalized when ControlNet 1.1 is ready. Note that we are actively editing this page now. This repo will be merged to ControlNet after we make sure that everything is OK. Note that we are still working on updating this to A1111. Perhaps this is the best news in ControlNet 1.1.ĬontrolNet 1.1 includes all previous models with improved robustness and result quality. 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). It's the perfect tool to create perfect results.This is the official release of ControlNet 1.1.ĬontrolNet 1.1 has the exactly same architecture with ControlNet 1.0. Use your imagination with the program, and use its tool to get rid of the dates that show up on your digital camera photos, or watermarks imposed by other editing programs. Once you've done that, your selection will disappear and an improved, restored background will take its place, just as if the image had always been that way. Just select the area that you want to delete with the lasso or rectangle tool, and press the green triangle. That gives it the capability to fill the space with a similar texture.Īlthough Inpaint performs a magical task, it's not at all complicated to use. It works by analyzing the visible contour, to calculate what should be behind the object that you're erasing. This tool is capable of eliminating any element that you want to disappear, without anyone knowing that you've edited the photo. ![]() Inpaint is the solution for those annoying imperfections, people, or objects that you want to disappear from your photographs. ![]()
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