Can you generate images from text AI?

Yes, it is possible to generate images from text using AI. There are several tools and APIs available that allow users to create images from text prompts. For example, OpenAI’s DALL·E is a neural network that can generate high-fidelity images from text. DeepAI offers a Text to Image API that allows commercial use of generated images. Microsoft Bing also has an Image Creator that uses AI to create images from words. Fotor’s AI Image Generator is another tool that allows users to create images from text prompts.

How does the AI generate images from text?

AI image generators use an enormous dataset of images and image descriptions to create an original image from text input. The AI system can combine style, lighting, and color inputs to create a specific result. The process can repeat a few times before the system decides the final image scores high in accuracy, but in real-time, this means only a matter of seconds. Variations of the GAN model can also create human faces that don’t exist. Google Research has been exploring text-to-image generation using a variety of AI techniques. After a lot of testing, they recently announced two new text-to-image models – Imagen and Parti. Both models use a new technique that helps generate images that more closely match the text description. Imagen is a Diffusion model, which learns to convert a pattern of random dots to images. Parti’s approach first converts a collection of images into a sequence of code entries, similar to puzzle pieces. A given text prompt is then translated into these code entries, and a new image is created

How to generate images from text AI?

Generating an image from text is a challenging task that requires advanced artificial intelligence (AI) techniques. In this article, we will explain the basic steps of how to generate images from text using AI.

Step 1: Choose a text-to-image model.

There are many different models that can generate images from text, such as DALL-E, CLIP, VQGAN, etc. Each model has its own strengths and limitations, so you need to choose the one that suits your needs and preferences. You can find some examples of text-to-image models here:

Step 2: Prepare the input text.

The input text is the description of the image that you want to generate. It should be clear, concise, and specific. For example, if you want to generate an image of a cat wearing a hat, you can write “a cat wearing a hat” as the input text. Avoid using vague or ambiguous words that can confuse the model.

Step 3: Run the model.

Depending on the model that you choose, you may need to install some libraries or packages to run it. You can follow the instructions provided by the model developers to run the model on your device or online platform. You may also need to adjust some parameters or settings to optimize the output quality.

Step 4: View the output image.

The model will generate an output image based on the input text. You can view the output image on your screen or save it to your device. You can also compare the output image with the input text and see how well the model captured the details and features of the description.

Step 5: Evaluate and refine the output image.

The output image may not be perfect or exactly match your expectations. You can evaluate the output image and see if it meets your criteria or needs. You can also refine the output image by changing the input text, modifying the parameters or settings, or using a different model. You can repeat this step until you are satisfied with the output image.

Also read: 7 Best Free AI Art Generators to use in 2023

Which are the best tools for generating images from text AI?

DALL-E by OpenAI

One of the most impressive AI tools for generating images from text is DALL·E, developed by OpenAI. DALL·E is a neural network that can create images from any text description, using a large dataset of text-image pairs. DALL·E can generate images of various concepts, such as animals, objects, scenes, and even abstract ideas. DALL·E can also manipulate existing images by regenerating parts of them based on the text prompt. For example, you can ask DALL·E to create an armchair in the shape of an avocado or to sketch a cat on top of an existing photo.

  1. Write a text description of the image you want to create. You can use natural language and be as specific or as vague as you want. For example, you can write “a cat wearing a hat” or “an armchair in the shape of an avocado”.
  2. Send the text description to the DALL-E API, which will return a set of 64 images that match your description.
  3. You can use the DALL-E Playground website to try it out interactively or use the Python library to integrate it into your own applications.
  4. Choose the image that best suits your needs from the set of 64 images. You can also modify the text description and generate new images until you are satisfied with the result.
  5. Download or save the image to your device or cloud storage.

Bing Image Creator

Another AI tool that can generate images from text is Bing Image Creator, released by Microsoft as part of its new Bing AI search. Bing Image Creator uses an advanced version of DALL·E to create images from text within Bing Chat, a conversational interface that allows you to interact with Bing using natural language. You can also access Bing Image Creator directly by typing “image creator” in the Bing search box. Bing Image Creator can generate images of various styles and resolutions based on your text description.

  1. Go to and sign in with your Microsoft account.
  2. Type or paste your text in the input box and click on the Generate button.
  3. Wait for a few seconds while the tool analyzes your text and creates an image based on it.
  4. You can adjust the image size, quality, style, and background using the options on the right panel.
  5. You can also add captions, stickers, filters, and effects to your image using the toolbar on the top.
  6. When you are satisfied with your image, you can save it to your device or share it online using the buttons on the bottom.

Firefly by Adobe

A third AI tool that can generate images from text is Firefly, announced by Adobe as one of its AI initiatives. Firefly is a generative AI tool that creates realistic and high-quality images from text prompts. Firefly uses a combination of natural language understanding and computer vision to interpret the text and generate the image. Firefly can also refine the image based on user feedback and suggestions. Firefly is designed to help creative professionals and enthusiasts to produce original and engaging visual content.

  1. Open the Firefly app or plugin in your Adobe product of choice.
  2. Type a text prompt describing what you want to create, such as “a sunset over the ocean with dolphins jumping” or “a neon sign saying Firefly in purple”.
  3. Press the Generate button and wait for Firefly to create your image.
  4. You can edit, refine, or customize your image using the tools in your Adobe product.
  5. You can also use Firefly to generate text effects, such as “Firefly in flames” or “Firefly in graffiti style”.
  6. Enjoy your creation and share it with others.

Text To Image by DeepAI

A fourth AI tool that can generate images from text is Text To Image, offered by DeepAI as an API service. Text To Image is a simple and easy-to-use tool that generates images from text using a pre-trained model. Text To Image can generate up to four images per text prompt, with different styles and resolutions. You can also specify some options such as grid size, width, and height to customize the output. Text To Image is suitable for beginners and hobbyists who want to experiment with generating images from text.

  1. Go to and sign up for a free account to get an API key.
  2. Choose a text source for your image. You can either enter a text URL, upload a text file, or type a text string directly in the text box.
  3. Click on the Generate button to see the output images. You can also use the cURL or Javascript examples provided on the website to call the API from your own code.
  4. You can adjust some options for image generation, such as grid size, width, and height. You can also choose from different image styles, such as cute creatures, fantasy worlds, cyberpunk, etc.
  5. Enjoy your generated images.

AI Image Generator by Fotor

A fifth AI tool that can generate images from text is AI Image Generator, provided by Fotor as a free online feature. AI Image Generator is a user-friendly and fun tool that creates images from text using a neural network. AI Image Generator can generate one image per text prompt, with various styles such as 3D, cartoon, or illustration. You can also edit the image using Fotor’s photo editing tools to enhance the quality and appearance. AI Image Generator is ideal for casual users who want to make creative and unique images from text.

  1. Go to and click on “Start”.
  2. Type in your text description in the box and click on “Generate”. You can also choose a category from the drop-down menu to narrow down the results.
  3. Wait for a few seconds and see the generated images below the box. You can click on any image to enlarge it or download it.
  4. If you are not satisfied with the results, you can click on “Generate More” to see more options or change your text description and try again.

These are some of the best AI tools for generating images from the text that you can try for free. Each tool has its own strengths and limitations, so you may want to experiment with different tools and compare the results. Generating images from text is an exciting and evolving field of AI research that promises to unlock new possibilities for visual expression and communication.

What are the limitations of AI-generated images?

AI-generated images have some limitations and challenges. One of the main limitations is the quality of the generated outputs, which may not always be high-quality and may contain errors or artifacts. Another limitation is the resolution caps, which are in place to optimize processing time and prevent creators from generating images with higher resolutions, such as 4K or even higher. Additionally, there are ethical concerns related to the use of AI art generators, such as copyright violation and the ongoing debate on whether AI-generated images are real art at all. Moreover, some AI-generated images may contain violence, nudity, or realistic faces, which can be problematic. Overall, while AI-generated images have many benefits, they also have some limitations and ethical concerns that need to be addressed.

Final Words:

Generating images from text using AI is a complex task that requires a deep understanding of natural language processing and computer vision. However, with the recent advancements in deep learning techniques, it has become possible to create realistic images that match the given text descriptions. With further research and development, this technology is expected to revolutionize various fields such as advertising, art, and design.

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