![]() ![]() If you did not modify the setting described above, This script will firstly try to install GroundingDINO and check if your environment has successfully built the C++ dynamic library (the annoying _C). This change should solve all problems about ninja, pycocotools, _C and any other problems related to C++/CUDA compilation. Starting from v1.5.0, you can choose to use local GroundingDINO by checking Use local groundingdino to bypass C++ problem on Settings/Segment Anything. You should know the following before submitting an issue.ĭue to the overwhelming complaints about GroundingDINO installation and the lack of substitution of similar high-performance text-to-bounding-box library, I decide to modify the source code of GroundingDINO and push to this repository. Check out this video (Chinese) from and this video (Chinese) from You can also check out my demo. There are already at least two great tutorials on how to use this extension. Thanks for suggestions from github issues, reddit and bilibili to make this extension better. They will be supported once I finish a major refactor of the current codebase. Introducing these new works to the current codebase will make the original ugly-enough codebase more ugly. Support for these models, unlike MobileSAM, are non-trivial, especially FastSAM, which utilize a completely different pipeline, ultralytics/YOLO. Note that support for some other variations of SAM, such as Matting-Anything and FastSAM are still on the way. ![]() This is a tiny version of SAM, created by researchers at Kyung Hee University. Go to Installation to get the link to the models. However, I cannot guarantee which one is better and you should make your own choice based on your own experiments. This is an "upgraded" SAM, created by researchers at ETH Zurich & HKUST. This feature will again be removed once ControlNet extension has its own uploading feature. You should see a new tab beside AutoSAM after updating the extension. 4: v1.5.1 Upload Mask to ControlNet Inpainting comes back in response to ControlNet inpaint improvement.1: v1.5.0 You may now choose to use local GroundingDINO to bypass C++ problem.I discourage other users from using this feature because it is significantly slower than CUDA. This is for some MAC users who are not able to do SAM inference on GPU. 9: v1.4.2 You may now do SAM inference on CPU by checking "Use CPU for SAM".2: v1.4.1 EditAnything is ready to use! You can generate random segmentation and copy the output to EditAnything ControlNet.API documentation has been moved to wiki. You can access all features for single image process through API. 9: v1.4.0 API has been completely refactored.*Inpaint not masked for ControlNet inpainting on txt2img panel.*Image masking with categories (single image + batch process). ![]()
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