Using text-to-image generation services is true that they are dependent on the quality of the dataset used to train the model. High-quality and diverse datasets significantly impact the model's ability to generate accurate and realistic images based on text input. While algorithm quality also matters, dataset quality is a primary determinant of output quality. These services do not primarily focus on design and art sensitivities, and their effectiveness hinges on the training data rather than just the algorithm or artistic factors.