$\newcommand\th\theta\newcommand\de\delta$This is a version of mike's answer that I could understand. Let $\th=\frac12\,\de_0+\frac12\,U(1,2)$, where $\de_0$ is the Dirac measure supported on the set $\{0\}$ and $U(1,2)$ is the uniform distribution on the interval $(1,2)$, so that $0$ is the only atom of $\th$.
Let $X$ and $Y$ be independent random vectors each with distribution $\mu$ such that $|X-Y|\sim\th=\frac12\,\de_0+\frac12\,U(1,2)$, where $|\cdot|$ is the norm on the Hilbert space $H$.
If $\mu$ has two distinct atoms at points $x,y$ in $H$, then $\th$ will have an atom at $d:=|x-y|>0$, a contradiction.
So, $\mu$ has no more than one atom. If the support $S_\mu$ is a singleton set, then $\th=\de_0$, a contradiction.
So, there is some $z\in S_\mu$ which is not an atom for $\mu$. For each natural $n$, let $B_n$ be the open ball of radius $1/n$ centered at $z$, and then let $C_n:=B_n\setminus B_{n+1}$. Then
$$0<\mu(B_n)=\mu(\{z\})+\sum_{k=n}^\infty\mu(C_k)
=\sum_{k=n}^\infty\mu(C_k)$$
for all natural $n$, and hence there are natural numbers $k>j\ge2$ such that $\mu(C_k)>0$ and $\mu(C_j)>0$. Then
$C_k\cap C_j=\emptyset$, $C_k\cup C_j\subseteq B_j$, and the $|x-y|<1$ for all $x,y$ in $B_j$. So,
$$0=\th((0,1))=P(|X-Y|\in(0,1))\ge P(X\in C_k,Y\in C_j)
=P(X\in C_k)P(Y\in C_j)=\mu(C_k)\mu(C_j)>0.$$
This final contradiction proves that $\th$ is not $\th(\mu)$ for any $\mu$.
Remark: This counterexample will obviously work for the more general case when $H$ is any metric space with a metric $\rho$: just replace $|x-y|$ and $|X-Y|$ above by $\rho(x,y)$ and $\rho(X,Y)$.
On a somewhat positive note (which is applicable when $H$ is an infinite-dimensional Hilbert space), any distribution $\th$ on any two-point set of the form $\{0,a\}$ for $a\in(0,\infty)$ with $p:=\th(\{0\})>0$ is of the form $\th(\mu)$ for some probability measure $\mu$ over $H$. Indeed, let $(e_1,e_2,\dots)$ be any orthonormal sequence in the Hilbert space $H$. Let $\mu$ be a distribution on the set $\{\frac a{\sqrt2}\,e_1,\frac a{\sqrt2}\,e_2,\dots\}$. Then $\th(\mu)$ is the distribution on the set $\{0,a\}$ with
$$\th(\mu)(\{0\})=s:=\sum_{j=1}^\infty p_j^2,$$
where $p_j:=\mu(\{\frac a{\sqrt2}\,e_j\})$, so that $(p_j)$ can be any sequence of nonnegative real numbers such that $\sum_{j=1}^\infty p_j=1$. It is easy to see that the range of all possible values of $s$ over all such sequences $(p_j)$ is the interval $(0,1]$. So, for some such sequence $(p_j)$ we have $s=p$, and then $\th=\th(\mu)$, as claimed.