Effective prompting for generative vision models is crucial for achieving desired results when using these tools to generate images or videos. The article emphasizes that the quality of the output depends significantly on how well the user crafts prompts, which should guide the model with clear and precise instructions. Key principles include giving direction, using unambiguous language, breaking complex tasks into steps, providing examples, and refining prompts based on output. Different structures are recommended for image generation, video creation, and image editing, each with specific focus elements like subject, action, style, and context. The article also highlights the importance of understanding the model's capabilities and considering ethical aspects such as bias, consent, and data protection. It encourages users to explore and refine their use of vision models while participating in community discussions and staying informed about advancements in AI efficiency.