While DALL·E 2 is a powerful tool for image generation, it is not without its limitations. Some known biases in its image generation capabilities include:
- Limited diversity: DALL·E 2 may struggle to generate images outside the scope of its training data, leading to a lack of diversity in generated images.
- Dataset biases: The training data used to train DALL·E 2 may contain biases that are reflected in the generated images, such as cultural or gender biases.
- Quality issues: Some generated images may lack detail or appear unrealistic due to limitations in the underlying algorithms.
Considering these limitations, it is important to use DALL·E 2 with caution and understand its biases to make informed decisions when generating images.
