Sum of the Poisson distribution (my solution vs. textbook)

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I feel something is wrong, but can't place it:

Assume $X_i$ are i.i.d. Poisson distribution with parameter $\lambda$ and define

$$Y = \sum_{i=1}^n X_i $$

$$M_X(t) = \exp((e^t-1)\cdot\lambda)$$

$$M_Y(t) = \Big({\exp((e^t-1)\cdot\lambda)\Big)}^n = \exp((e^t-1)\cdot n\cdot\lambda)$$

where $M_X(\cdot)$ is moment generating function.

so I think $$f_Y(y)=\text{The pdf of }Y = {e^{-n\lambda}(n\lambda)^y\over y!}$$

but in my textbook $$f_Y(y) = {e^{-n\lambda}(\lambda)^y\over y!}$$

I don't understand it!

Is there something wrong in my solution?

or

is the textbook wrong?