LoGAN only requires a training set of plausible structures, possibly at different stoichiometries than the target structures, without any notion of energy. We note that although LoGAN does not directly allow for a conditional structure generation with respect to a target property such as energy, the generated structures can be steered in a specific direction by changing the distribution of the training data, or by adapting the post-processing filtering steps if a model for property prediction is available. Due to its modular code, the adaption of the filtering step is straightforward, e.g. to only include low-energy conformers.