For maximum likelihood estimation (MLE) to be consistent, two conditions must be met:

1. The true data-generating distribution $p_{data}$ must lie within the chosen model family $p_{model}(\cdot; \theta)$.
2. The true distribution $p_{data}$ must correspond to exactly one parameter value $\theta$.