richservo

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Or just comment it out of your code and move on

Use kdiffusion. Works great and rarely exceeds 8GB vram

the tensor needs to be .half(). So wherever it's being decoded just add .half() to the end of the final tensor

is this why it uses SO MUCH VRAM to decode? Above 2k isn't possible....so the new upscaller can't even be used on the 768 model.

This is actually an issue with the decode first stage. Any high res image uses an excessive amount of vram. I can actually encode a tensor of 960x704 but can’t...