A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
The new size_as parameter makes it possible to avoid Navi types in more nodes. size_as works the same way as shape_as in that it takes an input ID.
While I haven't done so yet, we can use this for output validation as in the future. Just like ImageOutput uses channels to verify the output image, we could do the same thing with size_as and shape_as. However, we'll need to give enfore more information to actually do that.
The new
size_asparameter makes it possible to avoid Navi types in more nodes.size_asworks the same way asshape_asin that it takes an input ID.While I haven't done so yet, we can use this for output validation as in the future. Just like
ImageOutputuseschannelsto verify the output image, we could do the same thing withsize_asandshape_as. However, we'll need to giveenforemore information to actually do that.