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Using AI For Generating Images: 5 Use Cases, Examples & Tools

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Are you wondering how AI is being used for image generation?

As AI technology has become more mature with time, generative AI tools can now produce more realistic imagery.

In this guide, I’ll walk you through 5 use cases of AI for generating images, a few examples of brands who found unique ways of using the technology for creative purposes, and tools that you can use.

TL;DR

  • The main benefits of using AI for image generation are the ability to save time, save money, and scale your creative production.
  • The most popular use cases of AI in image generation are generating advertising creatives, editing images, generating blog and social media thumbnails, and creating product images.
  • An example of a company that used AI for creative purposes is Edelman who utilized the technology to ideate on new products.
  • Some of the best AI tools for image generation include Vue AI, Midjourney, and Team-GPT due to their ability to deal with complex requests.

How Is AI Being Used For Image Generation?

Here are a few of the ways that AI is being used for image generation:

  • Generating images for commercial purposes, such as marketing campaigns.
  • Editing images, such as cropping and resizing.
  • Ideating on new product ideas.

The technology utilizes a machine-learning model that scans millions (if not billions) of images and creatives published on the internet.

The way it works is that the technology tries to identify trends between the different images by interpreting the text associated with them and tries to string together what ‘’mouse’’ and ‘’bear’’ mean and what they look like.

➡️ As an algorithm, AI requires a large database to learn from, which is why over time the technology is going to get even better.

What Are The Benefits Of Using AI For Image Generation

The main benefits of generating images with AI include saving time from manual design and editing, saving money from professional work, and scaling creative production.

Let’s go over each one of them👇in more detail. 

#1: Save Time

The biggest benefit of AI technology is its ability to save you time from having to manually design and edit images.

AI’s large database can generate realistic images from short or detailed prompts.

#2: Save Money

The second biggest benefit is generative AI’s ability to save you money from having to:

  • Hire a professional designer.
  • Pay for premium stock mages.
  • Hire a photographer and rent a studio for a photoshoot.

#3: Scale Creative Production

Lastly, the image generation capabilities of AI can be scaled across your entire marketing or product operations.

Assigning a designer 10 tasks might take a week, but with AI, you can generate 10 creatives in minutes.

Additionally, content creation tools like Team-GPT (that’s us) enable your brand to collaborate with your team on image generation together.

You can prompt the platform together, build a prompt library, or access pre-made prompts for image generation.

The ability to save time, and money and generate images at scale are the reasons why people of all professions have adopted the technology.

In fact, there have been more than 15 billion images generated using text-to-image algorithms from 2022 to 2023 alone.

5 Use Cases of AI For Generating Images

Here are the 5 best use cases of AI for image generation from the ones I’ve seen work best in the industry:

#1: Generating Advertising Creatives

The best use case of AI for image generation is its ability to generate marketing collateral for advertising purposes.

Here’s an example from Team-GPT’s DALL-E 3: 

Prompt: An eye-catching marketing graphic for an environmentally conscious shoe brand’s green initiative. The central focus of the piece is an elegantly designed athletic sneaker, noticeably fashioned from repurposed materials, symbolizing energy efficiency and reduction in waste. Remember, this image is to be devoid of any textual elements, purely graphical.

Even though some of the images will have issues with wording, advertisers can prompt the platform multiple times to get it correct.

Alternatively, you can prompt the generative AI tools to not use wording at all (which is what I’m doing).

#2: Editing Images

Apart from its generative use cases, AI is also capable of editing images, such as cropping, resizing, filtering, and enhancing them.

Instead of manually editing your images to perfection, AI can help you do that with a simple click or a prompt.

For example, Samsung’s new flagship phone, the S24 Ultra, lets you edit the images in your phone with AI.

#3: Create Product Images (Save on Photoshoots)

AI is capable of creating product images of AI-generated models using your physical products.

Companies across the world are now able to save on photoshoots (e.g., hiring a model and a photographer) with tools like Vue AI that help your shoppers visualize what a product would look like on a person.

Here’s an example of a brand inserting a bag and then receiving an AI-generated female model holding the bag.

#4: Generating Blog & Social Media Thumbnails

Another use case of AI in image generation is its ability to generate thumbnails for your blog and social media channels.

Instead of using royalty-free stock images (or paying a designer), you can use generative AI tools like Team-GPT and Canva, where you can generate blog banners and creatives for social media posts in a matter of seconds.

Here’s an example from Team-GPT’s DALL-E 3:

Prompt: Generate a blog thumbnail for the title ‘’How to use AI to generate images for blog thumbnails’’. Do not use text on the image. Only on the graphic.

Once again, I’d recommend instructing the platform you’re using to generate only the graphic without using text on the creative to avoid irregular wording.

#5: New Product Ideation

Last but not least, you can use AI tools for new product ideation.

When you have a product idea for a physical product, such as a new flavour, a new bottle, new packaging, or a new clothing line – you can ask AI to help you put your vision into a product concept.

Here’s an example of me using Team-GPT’s DALLE-3 to generate a new concept Coca-Cola bottle for the American market.

Prompt: ‘’Generate me a new variation of Coca-Cola that you believe would be very successful in the USA.’’

➡️ Keep reading to find out how Edelman is ideating on new products with the help of DALL-3 and ChatGPT.

5 Examples of Companies Using AI For Image Generation

Here are a few examples of organizations (creatively) using artificial intelligence for image generation that I was able to find:

#1: BMW

BMW painted their Series 8 car model for an advertising campaign with the help of artificial intelligence.

The car manufacturer partnered with Goodby, Silverstein & Partners to create an advertising campaign in 2021 for their 8 Series Gran Coupe where they projected AI-generated art onto the cars.

#2: Nutella

Nutella used generative AI technology to create unique jar labels.

The chocolate giant created 7 million unique jars of Nutella that have AI-generated labels and promoted them in an advertising campaign.

The results? All of them sold out.

#3: Tommy Hilfiger

Tommy Hilfiger created AI design content in 2023 as a part of the Metaverse Fashion Week.

The goal of the contestants was to generate a designer product in the classic Hilfiger style.

The images that you see above are the winners selected by the brand, which were then made into a digital wearable and available for purchase on the virtual fashion platform DressX.

#4: UnderArmour

UnderArmour started using AI to train the brand’s ‘’visual DNA’’ in an AI tool, feeding their clothing style to the algorithm.

The organization was then able to generate realistic new product and model images, saving money and time from photoshoots.

UnderArmour is then able to use these creatives across its website and marketing channels.

#5: Edelman

Edelman uses AI for product idea generation. 

The brand worked with DALL-3 and ChatGPT to ideate new physical products to expand its product offering.

Instead of replacing their designers, Edelman simply used these AI-generated products as a starting point to conceptualize new products.

What Are The Best AI Tools For Image Generation?

When evaluating which AI tools to include in this list, I looked at their image quality output, trainability, and cost structure.

Our team even published a video not long ago on the topic: 👇

Explore the Pioneers of AI Image-Generation

Here are the best AI for image generation on the market in 2024:

#1: Team-GPT: Generate Images With DALL-E 3 With Custom Instructions

Team-GPT is a collaborative AI platform that lets you access different AI models, such as ChatGPT, Perplexity, and Claude and adopt AI alongside your team.

You can integrate DALL-E 3 in Team-GPT to generate on-brand image visuals, product concepts, and advertising materials.

Introducing Dall-E 3 in Team-GPT | Team-GPT

Similar to the way our integrations with ChatGPT work, you can connect DALL-E 3’s API with our tool.

The way it works is that you can generate images by inputting your image descriptions and then selecting the quality and size you need.

We’ve also added an interesting feature to our platform.

If you double-click on the ‘’Prompt’’, the tool will generate an enhanced prompt where the model adds more context to the initial prompt before generating the image.

It is also possible to download and/or re-generate if you are not satisfied with the outcome.

All of the images that you and your team have generated will then be stored, where they can be downloaded or deleted.

#2: Vue AI

Vue AI enables e-commerce businesses to generate high-quality on-model product photos to save time and money on photoshoots.

The platform lets you showcase your fashion products on models to improve your store’s engagement and conversions.

➡️ The brand also offers an AI-powered virtual dressing room, where your consumers can test different products on your models, and be able to select the model.

I thought of this as a useful feature for brands that want to visualize and style different product outfits on relatable models that look similar to them.

💡 Such automated on-model fashion imagery enables retailers to save up to 75% of photoshoot costs, according to the brand.

#3: Midjourney

Midjourney is one of the most popular AI image generators that has gained popularity with its high-resolution images.

The AI tool has above-average customization capabilities, as it lets you select the artistic style, color tone, and level of realism.

This is the reason why the platform allegedly has over 16 million users and over 40 million monthly active users.

Here’s an image I was able to generate when I prompted Midjourney to create an advertising creative for Coca-Cola without text:

The platform starts from as little as $8/month on their Basic plan and lets you get access to around ~200 generated images per month.

You’ll also get access to the tool’s member gallery and the ability to top up your credits to generate more images.

#4: Jasper Art

Jasper Art, a part of Jasper AI, lets you generate and edit professional-looking images for marketing purposes.

The AI tool stands out by allowing you to train the AI platform on your brand’s guidelines to ensure that your creatives are on-brand.

The platform offers a comprehensive range of features, such as:

  • Customizable AI templates to help you get started.
  • A content filter for sensitive material.
  • The ability to remove text from imagery, remove background, and ‘’reimagine’’ images by changing their concept.

#5: Canva

Canva offers a free AI image generator that lets you generate high-resolution images from prompts.

Also known as Magic Media, the tool can generate images in different image formats, such as watercolor, realistic, and retro designs.

Users can modify colors, be able to tap into diverse art styles, and then use Canva’s editing capabilities to further customize the images.

➡️ I’ve noticed that this can be a good option for social media marketers because Canva has a direct publishing option where you can generate images and then publish them to your social media with your copy.

Next Steps: Generate Quality Images With AI Alongside Your Team on Team-GPT

You can generate quality images with DALL-3 on Team-GPT and feed the platform your custom instructions about your brand.

Our enterprise AI software lets you collaborate with your team members instead of everyone in your team working out of different platforms.

Apart from that, you can access:

  • A comprehensive pre-made prompt library to create efficient workflows.
  • Detailed usage analytics to track employee engagement.
  • Enterprise-grade security ensures data privacy and the ability to host the platform on your servers.

Sign up for a demo of the platform today!

Iliya Valchanov
CEO at  | Website

Iliya teaches 1.4M students on the topics of AI, data science, and machine learning. He is a serial entrepreneur, who has co-founded Team-GPT, 3veta, and 365 Data Science. Iliya’s latest project, Team-GPT is helping companies like Maersk, EY, Charles Schwab, Johns Hopkins University, Yale University, Columbia University adopt AI in the most private and secure way.