In generating images using neural networks, one of the key aspects is to compose the right promts that accurately reflect your vision. When it comes to combining different visual styles, promt becomes the primary tool to manage this process. In this article, we will look at how to effectively combine styles using textual guidelines and produce harmonious and expressive images.
Understanding visual styles for image generation
Before combining styles in promt, it’s important to understand that each style has its own characteristics. For example:
- Minimalism: Simplicity of form, emphasis on lines and space.
- Retro/vintage: Use of vintage color palettes and textures typical of certain eras.
- Cyberpunk: Bright neon colors, futuristic elements and technological motifs.
- Art Deco: Geometric shapes, luxurious elements and a vibrant palette.
Knowing these features will help you create more accurate and efficient promts for neural networks.
Creating accurate and informative promts
In order for the neural network to generate the image correctly, it is important to spell out all the details in the promt that relate to the combination of different styles. For example, if you want an image that combines minimalism and retro, your promt should accurately state that the image should be “simple and clean in form, but with vintage colors and textures.”
Promt example: “Minimalist landscape with vintage color palette, soft textures, and retro design elements.”
Use contrast for accents
Instead of combining too many styles, choose two basic styles and use the contrast between them to create interesting accents. For example, combining strict geometric shapes (like Art Deco) with soft textures or retro colors can create unique visual tension.
Promt example: “Art Deco style with sharp geometric shapes and subtle retro pastel colors in the background.”
This approach allows you to create harmonious images where one style works as a background and the other as the main accent.
Experimenting with details
Sometimes it’s a good idea to experiment with different details to achieve a desired result. For example, adding certain textures or backgrounds can enhance the impact of one style. Promts can include guidelines such as “smooth surface” or “vintage patterns” to help the neural network understand what needs to be emphasized in the image.
Example promt: “A vintage cityscape with a smooth, clean foreground and rough, textured retro buildings in the background.”
Location of styles in the image
An important aspect is to specify how the styles should be distributed throughout the image. For example, if you want one style to be more pronounced in one corner of the image and another in another, be sure to specify this in the promt. This will help the neural network understand your idea more accurately and distribute the elements correctly.
Example promt: “Retro vintage elements in the lower-left corner with minimalistic style occupying the rest of the composition.”
Using fonts and text to enhance style
If your image includes text, it’s also important to specify what font or writing style you want. For example, combining a strict minimalist font with a bright vintage background can create an interesting visual effect.
Promt example: “Bold sans-serif font on a smooth minimalistic background with a retro color scheme.”
Testing and adapting promts
Working with neural networks requires experimenting and testing different versions of promts. Sometimes you will have to change the wording several times to get the desired result. When publishing promts to neural networks, pay attention to changes in the images and adapt the promts to improve the result.
Conclusion
Combining visual styles using neural network promts opens up many possibilities for creative projects. The key is to be precise in your descriptions and experiment with different details to produce unique images. Using the right textual guidelines, you will be able to create works that perfectly combine different visual directions, creating harmonious and expressive compositions.
