Enhancing Texture Representation Quality in Fashion Image Generation with Midjourney: Effective Use of Prompts

Enhancing Texture Representation Quality in Fashion Image Generation with Midjourney: Effective Use of Prompts

In this article, we'll focus on improving "texture representation" in fashion image generation using Midjourney.

Texture representation is an important factor in enhancing the reality and appeal of fashion items, and has the power to deeply convey the charm of an item to consumers.

The key to further enhancing this texture representation is the "prompt." Proper use of prompts in Midjourney can significantly improve the texture representation of the generated fashion images.

In this article, we'll explain how to use prompts effectively.

The relationship between prompts and texture representation:

Prompts contain vocabulary and contextual information that affect texture representation. When detailed information such as material and texture type is included in the prompt, natural texture representation becomes possible.

However, overemphasizing or narrowing down prompts may result in unnatural images, so proper adjustment is necessary.

Practice: Applying prompts and results

Let's look at examples of how images change when texture is added using prompts!

We added four different textures to a normal dress.

Base prompt: /imagine prompt Women's fashion dress

①: Add 【Chiffon】. Changes to an airy, sheer fabric dress.
Modified prompt: /imagine prompt Women's fashion Chiffon dress

②: Add 【Pleated】. Changes to a dress with vertical pleats throughout the fabric.
Modified prompt: /imagine prompt Women's fashion Pleated dress

③: Add 【Glittering】. Changes to a dress with gold sequins or foil prints.
Modified prompt: /imagine prompt Women's fashion Glittering dress

④: Add 【Thick】. Changes to a dress with a somewhat thick fabric.
Modified prompt: /imagine prompt Women's fashion Thick dress

By adding appropriate prompts that match the image of the fashion you want to create, you can improve the quality of texture representation.



How to set prompts to enhance texture representation:

Setting prompts appropriately is an important factor in creating realistic texture representation.

Points for setting content that focuses on texture representation include:

1. Add detailed information

By adding detailed information such as material type and texture to the prompt, natural texture representation can be achieved.

2. Pay attention to vocabulary selection

Pay attention to the choice of words. For example, when you want to express the texture of a fabric, adding specific words like "chiffon-like" or "tweed-like" will help generate images closer to what you imagine.

We also introduce specific prompt examples.

【Prompts for expressing fabric texture】

  • Lace
  • Matte
  • Sheer
  • Tweed
  • Chiffon
  • Velvet
  • Soft
  • Shiny


【Prompts for expressing three-dimensionality】

  • Ribbed
  • Quilted
  • Furry
  • Crinkled
  • Pleated
  • Ruffled
  • Wavy
  • Tasseled


【Prompts for expressing smoothness and shine】

  • Glossy
  • Metallic
  • Pearlized
  • Glittering
  • Iridescent
  • Foil
  • Shiny
  • Enamel


【Prompts for expressing fabric thickness and thinness】

  • Lightweight
  • Airy
  • Cozy
  • Paper-thin
  • Soft
  • Pliable
  • Thick
  • Thin


Conclusion:

In fashion image generation using Midjourney, setting prompts appropriately is an important factor in improving the quality of texture representation. In this article, we explained the role of prompts and how to set them, as well as introduced specific setting examples.

By using prompts effectively, the quality of image generation in Midjourney can be improved. By setting prompts according to the material and design, more realistic texture representation can be achieved.

In the next article, we will discuss the importance of color representation in fashion image generation using Midjourney, as well as how to use and apply color effects. We will introduce ideas for incorporating color variations to create more attractive and beautiful images. Stay tuned!

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