Generative AI is becoming increasingly popular and powerful, with projects such as ChatGPT and DALL-E 2, Stable Diffusion and Midjourney creating amazing works of art. The possibilities presented by this type of technology could revolutionize the way we approach art and design. But, although these projects have already achieved impressive results, many struggle to get the output to look like the vision in their head. This has become a problem for many artists, designers, and even everyday users of generative AI. In order to take full advantage of generative AI and make sure our vision comes to life, it is important to understand the underlying principles behind it. Generative AI works by using a set of algorithms to generate images and videos based on the input data. This data is used to create a variety of patterns and visual effects that are then used to generate the final output. By understanding how the algorithms work, and how to adjust the data accordingly, one can create the desired results. In addition to understanding how generative AI works, it is also important to focus on the output. What are the desired elements that need to be included in the output? What type of medium will be used? Once the answers to these questions are established, the data can then be adjusted to create the appropriate visuals. Generative AI is a powerful tool that can be used to create amazing works of art, but it is not always easy to get the output to look like the initial vision in the user's head. By understanding the underlying principles of generative AI as well as considering the desired output, it is possible to create impressive results from this technology. With a little bit of effort, it is possible to harness the power of generative AI and make our vision come to life.
https://www.lifetechnology.com/blogs/life-technology-technology-news/how-to-perfect-your-prompt-writing-for-chatgpt-midjourney-and-other-ai-generators
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