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Re:EditAnything: Segment Anything + ControlNet + BLIP2 + Sta... by MitPitt on Monday April 10, 2023 @05:25AM (#35510551)
I don't understand what this does. Examples mention "human prompt" but I don't see it anywhere.
Re:EditAnything: Segment Anything + ControlNet + BLIP2 + Sta... by okamiueru on Monday April 10, 2023 @05:39AM (#35510611)
The readme.md has some image examples. If I interpret them correctly, the first one is the input image, the second the segmented output, and the rest are example outputs using the prompt text shown above the collage.
Re:EditAnything: Segment Anything + ControlNet + BLIP2 + Sta... by sp332 on Monday April 10, 2023 @06:29AM (#35510827)
"The human prompt and BLIP2 generated prompt build the text instruction." The examples only show the BLIP2 prompt.
Re:EditAnything: Segment Anything + ControlNet + BLIP2 + Sta... by GaggiX on Monday April 10, 2023 @08:50AM (#35511644)
It's a controlnet model trained on SAM segmentation maps. The final model takes a prompt and a segmentation map as input and generates an image conditioned on them.
Re:EditAnything: Segment Anything + ControlNet + BLIP2 + Sta... by Sharlin on Monday April 10, 2023 @01:31PM (#35514869)
And I thought I was moderately "with it" with regard to AI… Could I get that in ELI5?
Re:EditAnything: Segment Anything + ControlNet + BLIP2 + Sta... by GaggiX on Monday April 10, 2023 @02:29PM (#35515615)
https://github.com/lllyasviel/ControlNet

Controlnet is a neural network added to an already trained model so they can be conditioned on new stuff like canny edge, depth map, segmentation map. Controlnet let you train this model on the new condition "easily", without catastrophic forgetting and without a huge dataset. In the repo linked by OP, they have trained a controlnet model on the segmentation map generated by SAM: https://segment-anything.com/