AI Generated Images

How to Generate Images From Text Using AI Tools

8 minute read

The concept of "AI image generators" has become popular over the past few months. The new technology of generating images from the text can potentially be a significant aid to product designers and the video game industry.

AI image generator enables you to use words and phrases to direct the creation of images. Allow your imagination to run wild, type a brief description of something you'd like to see, and incredible illustrations, sketches, photographs, or animations turn up a few seconds later.

Are AI-generated images reliable enough? What are the tools, and how can you test them out? If you're still unfamiliar with this trending topic, you've found the perfect place to read everything there is to know.

What Is an AI Image Generator All About?

AI image generators are computer tools that generate images from text using artificial intelligence algorithms. Usually, the application displays a wide range of images based on the given text. The algorithm analyzes a database of photos to learn how to produce new ones. It learns the relationship between images and the text used to describe them. It's trained by sampling a large variety of inputs.

The tool typically offers a single text box where users insert text descriptions, so-called prompts, to obtain an AI-generated image. Here are some quick examples:

  • Monochrome interior shot of an indoor kitchen area with some geometric furniture and dramatic lighting;

  • A far-away planet shot featuring the dreamscape vibe with pastel animals and neon lights;

  • Alone heart-shaped mushroom in the woods, digital painting.

Besides, there are other ways to generate images, like creating another image from an existing one or based on a specific art type, like pop art. You can create expressive artistic works with this if you invest enough time trying different options and ideas.

AI image generators could be used for numerous purposes, such as interior design inspiration, advertising, generating images for blog posts, making art, 3D modeling, game character design, etc.

How to Use Popular AI Image Generators

Let's take a quick look at three leading tools identified as currently having the most sophisticated capabilities for AI-generated images.


The ideal method to prompt DALL-E 2, for instance, appears to be to use a combination of a detailed description and some kind of stylization or hint of how you'd like your image to look. A large number of descriptive keywords included at the end of a prompt can frequently aid the AI in producing an excellent result.


  • Blondie counting stars on the rooftop, digital illustration;

  • Painting of a fox sitting in a field at sunrise in the style of Picasso.


DALL·E 2 can also add and remove elements to existing images while accounting for shadows, reflections, and textures from a natural language caption.

DALLE-E 2 has recently come out of beta version and it no longer requires a special invitaiton to use. Just sign up and you're ready to generate.

Stable Diffusion

Another method of prompting form is right now available in the Stable Diffusion: uploading a starting image to work on along with a verbal insctructions that directs the software to create a brand-new image.

Stable Diffusion also provides simple animations based on morphing between different monolith scenes. For instance, you could produce a slow animation showing how your city was morphing from a photo taken many years ago to what it appears like nowadays.

The general lack of images generated from text is a low resolution. Stable Diffusion isn't like other AI image generators. How so? Well, if we feed the source image into Stable Diffusion and add proper prompt material (''high quality'', ''4k''), we can generate all new high-quality artwork that keeps similar visual compositions. And the best part - it's open source, so everyone can use it for free.


Many concept artists utilize this AI image generator because it can produce high-quality artistic results and find it easier to engineer prompt than in DALL·E.

It runs inside the Discord platform in a way you send him a prompt, and it responds with four results. If you like one, you can get a larger version with extra detail. If one of the outcomes piques your interest, you can ask for more possibilities based on that result.

Midjorney is available in a free trial version. If you struggle with creating prompts, a free prompt generator is available.

Generating an Image From a Text - Pros and Cons

Some problems with AI-generated images are already solved or prevented, but there are still open questions. Undoubtedly, the benefits are incredible, and the application is yet to come to the fore.


  1. Fast production

    AI image generators are essentially learning how to produce art the way humans do, but with superhuman versatility and speed.

  2. Helping artists

    They can assist artists in creating fresh work concepts. A designer or artist will pay greater attention to the idea and creativity than technical details.

  3. Helping non-artistic people

    Even those without technical drawing ability can produce images and artwork. AI image generators are perfect for marketing applications since they can easily create a lot of outputs.


  1. Copyright and legislature

    Getty and iStock announced ceasing to accept all submissions generated via AI generative models and removed previously uploaded AI-generated images. Likewise, it might become challenging to distinguish original from generated images in photo contests or social networks.

  2. Fake news

    The major drawback of this technology is the potential for creating fraudulent images and using them maliciously. Also, the photorealistic generation of real individuals’ faces, including those of public figures, should be prevented.

  3. Poor resolution

    Using AI image generators, you will face a situation where you have great art, but it’s all tiny. For now, these tools are not able to provide high-resolution images.

How to Enhance Images Generated with AI Tools?

Fortunately, we can make generated images bigger using AI upscaling tools. In addition to the low resolution, the obtained images sometimes are not sufficiently sharpened. AI image upscalers with enhancing performance, like TensorPix, can solve both problems. The best part - it is available to use online, and you can try it for free to verify its capabilities.

Why Do You Need to Upscale Images Generated From the Text?

Some of the shortcomings related to the quality of the images generated from the text, which will require you to apply the upscaling techniques:

  1. AI image generator performance and image quality rely on the training data quality.

  2. You always get tiny images, like 768 pixels on the long edge, because you can't get bigger. On Stable Diffusion, it’s maybe 2000 pixels but still not enough to print or edit in Photoshop to any high level of satisfaction.

  3. Using an image generator on the local machine can result in smaller images than usual because you need a high-performance computer to run such a tool smoothly.

How Can TensorPix Enhancing Filters Help?

There are three filters provided by the TensorPix tool that can improve the quality of AI-generated images:

  • 200% Upscale

    Doubles the resolution of your images and restores previously unseen details.

  • 400% Upscale

    Uscales image 4x with even more detail. Crops image without sacrificing quality. You will use this AI filter mostly because generated images are usually around 500 pixels on the long edge.

  • Smart Denoise

    If you get a noisy image but like it the most, use this filter with 400% Upscale to save it from noise without losing any details.


Great potential lies in the technology of generating images from text. The best thing about AI algorithms is that they can self-improve. The more used, they become better trained to give appropriate results.

It will take time to establish the rules for dealing with legislature problems, and luckily there are great upscaling tools like TensorPix to solve the low-resolution problem.

Valentina Vujadinov

Read more blog posts from TensorPix

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