Called “consistent model reproducibility”
Reproducibility: different models produce same output
Two regimes
Provide theoretical justification for memorization regime
An unconditional diffusion model generates new data samples without any specific conditions or guidance. It means the model learns the distribution of the training data and can generate new samples from this learned distribution, but it does not take any additional input or condition to direct the generation process.