OpenAI's Revolutionary Language Model.

Can ChatGPT Draw Images?

ChatGPT is an AI language model that has impressed the world with its natural language processing and text generation capabilities. However, people wonder if ChatGPT can draw images? In this article, we will explore the image generation capabilities of ChatGPT and how it can be possible.

ChatGPT for images

ChatGPT is trained on large datasets of text to generate human-like responses and stories. Its main goal is to create text that is indistinguishable from a human writer.

However, after gaining significant popularity and recognition for its capabilities, people have been curious if ChatGPT can also generate images.

At the time, ChatGPT can’t draw images in the way we typically think of them. However, there are some workarounds to make ChatGPT generate images to some extent.

Below, you can see how ChatGPT reacts to prompts that include asking it to draw something. ChatGPT simply says it is not capable of drawing.

chatgpt is not capable of drawing

Why can’t ChatGPT draw images?

ChatGPT, being primarily a language model, faces several limitations when it comes to drawing images. Because its primary focus is on generating human-like text, it is not designed to handle image-processing tasks. As a result, ChatGPT’s capabilities in image generation are limited compared to AI models that are specifically designed for this purpose.

We have listed below several reasons why ChatGPT can’t draw images in the conventional sense:

1. ChatGPT is a language model

Its primary function is to process and generate text, which means that OpenAI didn’t design it for image-processing tasks.

2. Lack of training data

ChatGPT is trained on large text datasets, which do not include image data. This means that it lacks the necessary information to generate images in the same way as AI models specifically trained on image datasets. Learn what are the training data of ChatGPT.

3. Different architecture

ChatGPT’s architecture is optimized for natural language processing tasks.It does not possess the same capabilities as AI models designed for image generation, such as GANs, StyleGAN, DALL-E, or CLIP.

ChatGPT’s Workarounds for Image Generation

There are some workarounds that enable ChatGPT to draw images to a certain extent. By utilizing its text-based nature, ChatGPT can generate images in ASCII and SVG formats.

These techniques allow ChatGPT to create visual representations through characters, paths, shapes, and curves. However, they may not offer the same quality and complexity as images generated by AI models specifically designed for image generation.

ChatGPT can generate images in ASCII format

ASCII stands for American Standard Code for Information Interchange. It is a character encoding standard that assigns each character a unique code. ASCII art is a technique that uses characters to represent images. ChatGPT, being a language model that is trained on recognizing and processing characters, can generate images in ASCII format.

However, it is important to note that ASCII art images are relatively primitive compared to other image formats. Because they are made up of only characters and are limited to a few shades of gray.

While ChatGPT’s image generation capabilities in ASCII format are impressive, it is not the ideal format for high-quality and visually appealing images. Nonetheless, it is still an interesting and unique feature of ChatGPT’s image generation capabilities.

You can see how ChatGPT responded when we asked it to draw a simple circle in ASCII format below.

chatgpt draw image in ascii

ChatGPT can generate images in SVG format

SVG stands for Scalable Vector Graphics, which is an image format that uses XML to describe two-dimensional graphics. Unlike normal images, SVG images are made up of paths, shapes, and curves. ChatGPT can generate images in SVG format by using a combination of language processing and image processing algorithms.

SVG format allows for high-quality and scalable images, making it an ideal format for logos, icons, and other graphics that require flexibility and clarity.

However, it is important to note that ChatGPT can generate only the code for SVG images. It does not have a built-in function to compile or display the images. To view the SVG images generated by ChatGPT, we can use online SVG viewers.

If you want to make ChatGPT generate SVG images, simply use a prompt such as “Generate an SVG image of a sunflower.” or “Draw me a colorful grape in SVG format”.

ChatGPT would then use its advanced algorithms to recognize the patterns of the drawing and generate an SVG image using paths, shapes, and curves.

Below, you can see the response ChatGPT gave when we asked it to draw a circle in SVG format. As you can understand, this is not actually an image but represents the vector code of the image. To view this image, we can use any online SVG viewer tool on the internet.

chatgpt can draw image in svg format

In the screenshot below, you can see the image I got when I pasted the SVG code provided by ChatGPT into an online viewer tool.

viewing svg image generated with ChatGPT

What are the other AI models for image generation?

In addition to ChatGPT, there are several other AI models that specialize in image generation. These models have made significant advancements in the field of visual art and have expanded the possibilities of AI creativity. Let’s explore some of these remarkable models:

  1. DALL-E: Developed by OpenAI, DALL-E is a model that can generate images from textual prompts. It has the ability to create unique and imaginative visuals by combining various concepts and objects described in the text.
  2. CLIP: CLIP, also developed by OpenAI, is a model that excels in understanding images and text together. It can generate textual descriptions of images and comprehend the context of visual content, making it a valuable tool for generating captions or guiding image generation processes.
  3. GANs (Generative Adversarial Networks): GANs are a class of AI models that consist of two components: a generator and a discriminator. The generator learns to create images that are similar to a given dataset, while the discriminator aims to distinguish between real and generated images. Through an iterative process, GANs can generate increasingly realistic images.
  4. StyleGAN: StyleGAN is a popular model for generating high-quality and diverse images. It allows for the manipulation of various visual attributes, such as changing facial expressions, hairstyles, or even the overall style of the generated images.
  5. Pix2Pix: Pix2Pix is a model specifically designed for image-to-image translation. It can transform images from one domain to another, such as turning sketches into realistic images or converting daytime scenes to nighttime.
  6. BigGAN: BigGAN is known for its ability to generate highly detailed and high-resolution images. It utilizes large-scale architecture and advanced training techniques to produce visually stunning and realistic outputs.

These AI models, alongside ChatGPT, have opened up exciting possibilities for generating images and enhancing the creative process. By leveraging the unique strengths of each model, researchers and artists can explore new frontiers in visual art and AI-assisted creativity.


In conclusion, while ChatGPT is primarily a language model, it can also create simple drawings using ASCII and SVG formats. While the ASCII format is limited to basic shapes and line drawings, SVG allows for more complex images that can be scaled up or down without losing resolution.

By using ChatGPT’s drawing capabilities, developers can create interactive applications that respond to user input with dynamic images. Additionally, ChatGPT can generate SVG code. You can use these SVG files in most domains including your website and application development.

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