update doggettx cross attention optimization to not use an unreasonable amount...

            raise RuntimeError(f'Not enough memory, use lower resolution (max approx. {max_res}x{max_res}). '

                               f'Need: {mem_required / 64 / gb:0.1f}GB free, Have:{mem_free_total / gb:0.1f}GB free')

        slice_size = q.shape[1] // steps if (q.shape[1] % steps) == 0 else q.shape[1]

        slice_size = q.shape[1] // steps

        for i in range(0, q.shape[1], slice_size):

            end = i + slice_size

            end = min(i + slice_size, q.shape[1])

            s1 = einsum('b i d, b j d -> b i j', q[:, i:end], k)

            s2 = s1.softmax(dim=-1, dtype=q.dtype)