August 22, 2022

How AI image generation will change the game of stock photography

Dall-E 2 by Open AI, Google Imagen, Midjourney, and even new Open Source competitors are AI tools, that can generate images from textual descriptions. Just from a description of objects, scenery, and art style, you can generate thousands of unique pictures.

How do AI-generated images work?

AI-generated images work by taking text input and creating an image that resembles the description. The tool uses a neural network to interpret the text and generate an image that matches the description. The neural network is trained on a dataset of images and descriptions. The more data it has, the better it can interpret the text and generate an image that matches.

Five variations of the prompt "a white table in a black room, 3d rendering"

Above, you can see five results of the prompt "a white table in a black room, 3d rendering". Next to describing objects and art style, you can specify aspect ratios and how much "freedom" the AI should have while creating the images. You can define if it should stick to the description as well as possible or get more abstract. Below you can see an example of that.

Both images created with the prompt "a white table in a black room". left with no freedom, right with a lot of freedom.

This means that instead of searching for stock photos that approximate what you're looking for, you'll be able to simply describe what you need and have an AI tool create it for you.

The implications of this are huge. For one, it will make it much easier for businesses and individuals to find the exact image they need, as they won't be limited by what already exists.

It will also make it possible to create completely custom images, which could be used for everything from marketing campaigns to product designs. And since these tools will be constantly learning and improving over time, the possibilities are endless.

Prompt: Spanish tapas on wooden table, wine bottle, wine glass with red wine, olive oil, meats, bread, high definition, insane definition, photo realistic.

This technology is still in its infancy, but it's rapidly evolving. In a few years, it's likely that AI-generated images will be the norm, not the exception. So, if you're in the business of creating visuals, it's time to start learning about image AI.

Five hypotheses about the future of stock photography

  1. Stock photography will become obsolete.
    As mentioned in our article, Stock photography sites will become obsolete because there will no longer be a need for them. AI tools will make it possible to create any image you need.

  2. Graphic designers will have to adapt.
    Graphic designers will no longer be able to rely on existing images. They'll need to learn how to use AI tools to create custom visuals.

  3. Marketing campaigns will be more creative.
    Marketers will be able to create custom visuals for their campaigns. This will make it possible to develop more creative and effective campaigns.

  4. Product designs will be more unique.
    Product designers will be able to create unique visuals for their products. This will make products more unique and likely to stand out from the competition.

  5. AI will become a must-have skill.
    You'll need to learn how to use AI tools to stay ahead of the curve. This will become a must-have skill in the near future.

Fun Fact: This article was written with the help of GPT-3 by OpenAI. But we’ll get to that in one of our next blog posts.


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