Artificial intelligence has become an integral part of our lives, and one of its most impressive capabilities is image generation and processing. Google’s Gemini is a powerful neural network that can not only communicate but also create and edit photos. The key to managing its creativity is carefully crafted prompts.
What is Prompt
A prompt is a specific request or instruction that a user gives to artificial intelligence to complete a task. It’s not just a question, but a detailed description of what you want to achieve. The quality of the final image or text directly depends on how well your prompt is written.
It’s like ordering a photo from a photographer. You don’t just say “I want a photo,” but describe the idea, style, and details. Communicating with a neural network works exactly the same way. The key components of a good prompt include:
- subject (who or what is in the image);
- action (what is happening);
- environment and background;
- style and mood;
- technical details (quality, lighting, angle).
Types and examples of prompts for working with photos
Gemini prompts can be divided into several categories depending on the task you’re asking the neural network to perform. Understanding these types will help you formulate your queries more precisely and get the results you expect.
Let’s look at the main types of prompts for creating and processing images:
- Prompts for generating images from scratch. These are queries that force the neural network to create completely new visual compositions. Detail is important here. For example, a simple query like “cat” will yield a random result. However, a complex prompt like “fluffy orange Polaroid-style cat sitting on a velvet sofa by the window, soft evening light, photographic style, high detail” will generate a specific, high-quality image.
- Prompts for editing and processing existing photos. Gemini can analyze the images you upload and make changes to them. This requires clear processing instructions. For example: “Make the colors in this photo more vibrant and saturated, like in the tropics.” Or “Remove the background from this portrait and place the model on the beach at sunset.”
- Style prompts. These queries are used to replicate a specific artistic style. You can ask the neural network to draw something in the style of Van Gogh, pixel art, or anime. For example: “Sunset over a cyberpunk-style city, neon lights, rain.”
- Contextual prompts. Sometimes you need to create an image for a specific situation or plot. For example, to visualize a joke or an absurd idea. A classic example is “banana nano” (a banana in the style of a tech ad), which can generate a multitude of creative images. Or “photo shoot for a pair of dachshunds in wedding attire in a garden.”
Rules for writing good prompts
Artificial intelligence has become an integral part of our lives, and one of its most impressive capabilities is image generation and processing. Google’s Gemini is a powerful neural network that can not only communicate but also create and edit photos. The key to managing its creativity is well-crafted prompts.
To ensure your Gemini prompts are effective and consistently produce good results, it’s important to adhere to a few fundamental rules. These principles will help you move from random success to predictably powerful generation.
A well-crafted prompt is the key to success when working with any AI, whether it’s ChatGPT for texts or Gemini for photos.
- Be specific and detailed. Instead of “draw a dog,” use “draw a fluffy golden retriever playing in the snow on a sunny winter day, photorealistically, with highly detailed fur.” The more specific you are, the closer the result will be to your idea.
- Indicate style and mood. Always include style descriptions in the prompt: “watercolor sketch,” “Rembrandt-style portrait,” “bright pop art illustration,” “dark engraving.” This immediately sets the right direction for generation.
- Use references and comparisons. The neural network understands comparisons. You can write: “a building resembling a spaceship, in the style of Zaha Hadid” or “a cat with eyes like celebrity Angelina Jolie.” This is a powerful tool for clarifying an idea.
- Control composition and perspective. Use photography terms like “close-up,” “wide shot,” “bird’s-eye view,” and “Dutch angle.” This will help you control how objects are positioned in the frame.
- Set technical parameters. While Gemini automatically selects quality, you can also make direct selections like “high resolution,” “4K,” “crisp detail,” and “cinematic lighting.”
Where and how to use prompts for Gemini
The applications of prompts for creating and editing photos are virtually limitless. They’re not just entertainment, but a powerful tool for professionals and enthusiasts. The ability to create prompts is becoming a new digital literacy.
This technology can be used in a wide variety of fields. For example, designers can quickly generate mood boards and concept art for projects. Bloggers and marketers create unique visual content for social media and websites. Even regular users can have fun organizing virtual photo shoots for their pets or imagining what they would look like as a celebrity from the past.
You can ask the neural network:
- generate an illustration for a blog or presentation;
- design a T-shirt or poster;
- visualize an interior design idea;
- create an abstract desktop background;
- redraw an existing photo in a new style.
On our website, you’ll find detailed guides and collections of ready-made prompts for any task. We’ll help you learn how to effectively interact with AI and unlock the full creative potential of neural networks.
Errors and their solutions when composing prompts
Beginners often make common mistakes that lead to disappointing results. Understanding these mistakes and knowing how to avoid them will save you a lot of time and frustration.
One common problem is an overly vague prompt. If you write “beautiful picture”, the neural network won’t understand what exactly you consider beautiful. Solution: always add specific details, as described in the rules.
Another mistake is overloading the prompt with contradictory instructions. For example, “a dark and cheerful morning image in the style of portrait realism and abstraction”. The AI will get confused by such contradictory concepts. Solution: Decide on one key idea and stick to it, using no more than two or three consistent styles or moods.
Sometimes users forget that neural networks, including Gemini, have their own contextual limitations and cannot process certain types of requests, especially those that violate security policies. Requests inciting violence or containing inappropriate content will be blocked. Some try to circumvent the restrictions by asking the neural network to swear, which is also pointless and ineffective. Solution: Formulate requests within ethical and AI-safe topics.
Problems can also arise if you use complex terminology or highly specialized jargon that isn’t present in the model’s training data. Solution: Try to formulate your thoughts in simple, understandable Russian, explaining complex concepts through comparisons when necessary.
Finally, many give up after one or two failures. It’s important to remember that creating the perfect image is an iterative process. Solution: Don’t be afraid to rephrase the prompt, clarify details, and experiment. Each new request is a step toward understanding how artificial intelligence “thinks”.