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.
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