Introduction
For as long as human history has existed, the only way to represent a mental image or thought someone has is to have it drawn or photographed by oneself or someone else. This can be difficult for people who have vivid imaginations but struggle to capture what they see in their minds on paper, unless they can find someone reliable who can interpret their description and create the image they desire from it. AI Text to Image changes this dynamic, providing a means to generate images from text, or prompts as they are referred to by the program. The user inputs a textual description of what they want to see, and the program will generate an image from it, requiring almost no skill to use aside from being able to operate a computer or phone.
Professionals and industries that can benefit from being able to generate images from text include bloggers and content creators who wish to publish illustrations for their sites but do not have the time or money to source or design them, marketers that want to design images for marketing purposes, writers and game designers that want to visualize their designs or concepts, and many others. The common theme between these professions and industries is that they all have a sort-after for a visual representation of something they cannot source or design themselves. This tool can be an incredible asset to content creators and bloggers that need images but do not have the resources to design or purchase them, to marketers and small business owners that need graphic design services but cannot afford them, and to many others.
What Is AI Text to Image?
AI Text to Image is a program that allows users to generate images from text. This is done by the program reading the user input, which describes what the image they want to see, and compiling an image that best matches the description. The program works by sifting through a vast database of text and image data and compiling new images from the data that best matches the input of the user. It should be noted that the program is not a search engine, but rather a compilation tool for images. This means that two differing images can be compiled from the same search prompt, and that the user will inevitably have to tweak their prompt to get a satisfactory image. This is why learning how to phrase your prompt is vital to getting a satisfactory image when using this technology, as the more specific the prompt is to the image you want to see, the higher chances are of getting one.
What this means in short is that the user must learn to phrase their prompts in such a way that they communicate exactly what they want to see, as the program will not infer any information that is not explicitly stated or implied in the prompt. It is important to note that the text to image aspect is only one portion of the overall technology, and that the technology has some limitations and considerations that must be taken into account when using it.
Why This Tool Matters
Visuals have become an increasingly important part of every industry online, from blog posts and social media to marketing and presentation material. However, any visual media requires at least a basic level of design skill to create, and for many this is a skill that is either unattainable or comes at a high price. This means that custom graphics and illustrations are either prohibitively expensive or of a low quality for most industries that might need them, due to the combination of lacking design skills and budget for design services. The emergence of image generation software has helped to bridge this gap, as it has provided a means to generate custom graphics and illustrations without requiring any design skill or large budget to do so.
An example of such a scenario would be a situation where a content creator needs a graphic for their blog post. In the past they would have to either design the graphic themselves and risk an unsatisfactory result, or hire someone to do it for them and risk spending too much money on it. With a text to image program they can generate a graphic with no prior design experience or money invested. At the same time however, this technology is not a silver bullet and comes with a number of limitations and considerations that must be taken into account, which is why understanding it and learning to use it is an important skill to have.
Key Features
Text-Based Image Generation
This is the namesake feature of the program, and is the most important one due to it being the reason why the program is so revolutionary in its space. This feature is valuable due to it negating the need of any design experience whatsoever to generate images.
Style Flexibility
Many programs of this type allow the user to dictate or influence the style of the image, from photorealistic to illustrative to cartoonish. This is a valuable feature as many users would want to dictate the style of the image to better suit their needs.
Multiple Generation Options
Many programs offer multiple image generation options, which is useful due to the aforementioned need to tweak prompts.
More Detail Control
Since prompts dictate what the image will look like, the level of detail in the prompt dictates what level of detail the image has.
Quick Iteration
Since image generation is typically quick, the user can iterate on their prompt faster and easier, getting closer and closer to the image they want to see.
How to Use AI Text to Image
Getting Started
Before getting started, it is important to have an idea of what image one wants to generate. This means one needs to have a general idea of the subject, setting, and style of the image they want to generate.
Writing Your Prompt
Next, the user has to write up their prompt, stating what they want to see as clearly and concisely as possible.
Processing
After writing the prompt, the program will process and generate one or more images based on the prompt, which should take only a few seconds.
Understanding Results
After processing, the user will need to understand how well the results reflect what they wanted to see. If they are unsatisfied with the results, the user will need to identify what they did not like and change their prompt accordingly and go back to processing until they are satisfied with the results.
Common Mistakes to Avoid
A common mistake when using a text to image program is writing vague prompts and expecting specific results. This fails to account for the fact that the program will fill in the blanks for the user, which means vague prompts result in vague results. Another common mistake is expecting satisfactory results the first time one uses the program, which typically does not happen as one typically has to tweak the prompt a few times before satisfactory results are achieved. Knowing how to phrase a prompt and learning the technology is vital to utilizing it to its fullest potential.
Benefits of Using AI Text to Image
Accessibility
The obvious benefit of this program is that it allows one to generate images without any design experience whatsoever, which is a major limiting factor of most graphic design related industries.
Cost Efficiency
For people and industries that would have otherwise hired designers to make images for them, this program can be an incredibly cost-efficient tool to have.
Speed
Designing an image typically takes much longer than simply writing a prompt, which means one can iterate much faster on a text to image program and get satisfactory results quicker, which can be useful when one has a tight deadline.
Customization
Custom graphics and illustrations are much harder to come by than standard graphics and illustrations, as most stock image sites only offer the latter. With this tool, one can generate graphics and illustrations based on one’s specific request rather than having to rely on images that someone else designed.
Exploration and Experimentation
With this tool, one can explore and experiment with visual design much faster and easier, which means one can get much more done in much less time.
Common Use Cases
Content Creators and Bloggers
Some content creators and bloggers utilize these tools to generate visual illustrations of blog posts, either due to needing something specific that stock image sites do not have or due to not having the design experience to make them themselves.
Marketers
Some marketers utilize these tools to design concept visuals for marketing purposes, presentations, and moodboards.
Writers and Game Designers
Writers and game designers use these tools to visualize their concepts for their own reference or to show others.
Small Businesses
Small businesses use these tools to generate graphics for their website, social media, marketing, et cetera that they would not be able to afford or design themselves.
Educator and Presenters
Some educators and presenters utilize these tools to generate presentation visuals for their students or audience.
Practical Examples
Example 1: Creating a Blog Post Illustration
A blogger is writing a blog post about a certain topic, but cannot find a suitable stock image to illustrate the concept they want to convey. They use this tool to generate an image based on their concept and iterate on their prompt until they are satisfied with the results. Their prompt most likely contained more information about the concept they wanted visualized so that the results would be more illustrative of the concept itself.
Example 2: Visualizing a Character for a Story
A writer wants a reference image of a character they are designing but do not have the necessary design skills to do so themselves, so they utilize this tool to generate one based on their descriptive prompt.
Example 3: Generating Concept Visuals for a Presentation
A marketer needs to design a presentation but wants concept visuals for certain ideas they have, so they utilize this tool to generate concept visuals for them based on their prompts.
Expert Tips for Best Results
Be Specific About What You Want, But Realize That Less Can Sometimes Be More
Although one should be specific about what one wants to see, one should avoid making one’s prompt excessively long if one does not have to, due to the fact that an image generated from a longer prompt may contain unnecessary fluff that the image does not need. It is important to write descriptive, concise prompts that state what one needs without including extraneous information that does not contribute to the image one is trying to generate.
Consider Specifying the Style if It Matters to You
If one cares about the visual style of the image they are trying to generate, it is important that one specifies this in their prompt. Certain words in the prompt, primarily style related words, can vastly influence the outcome of the image, and should be noted when writing the prompt if this is a concern.
Iterate on Previous Prompts Rather Than Trying to Get It Right the First Time
As aforementioned, getting satisfactory results the first time one uses the tool can be difficult, so one should iterate on previous prompts rather than attempting to generate satisfactory results from scratch. This means one should analyze what worked and what did not work and edit their prompts accordingly, rather than randomly throwing together words in the hopes of getting satisfactory results. One should also note that not everything in the prompt is equally important, and should only edit the important parts first.
Edit Only What You Need If You Are Close but Not Satisfied With the Image
If one is close to being satisfied with the image but one small detail needs editing, it is better to only edit that small detail rather than rewriting the whole prompt.
Keep in Mind the Limitations of This Technology to Plan Ahead
This tool comes with many limitations and shortcomings that can affect the image one is trying to generate, some of which may affect the image more than others. It is important to keep these limitations in mind when using this tool to plan ahead.
Security and Privacy Considerations
When utilizing this tool, it is important to be careful about the information one puts in their prompts, as it is likely that the information is processed and stored by the company that owns the tool. As such, it is best to avoid putting personal and/or sensitive information in prompts that is not necessary for the image one wants to generate.
For business users that want to utilize the visuals generated by this tool for their own business, it is important to research what the tool’s terms of service say about the ownership of the image one generates, as in some cases one may not be legally allowed to use the image for one’s own purposes.
It is important to use this tool responsibly for ethical and legal reasons, one of which being that one should avoid using this tool to generate illegal and/or unethical content that can be harmful to others.
Common Mistakes and How to Avoid Them
Mistake: Writing Vague Prompts and Expecting Specific Results
As mentioned one should be specific about what they want to see, rather than putting vague prompts that tell the program to guess what one wants to see.
Mistake: Assuming That Generated Images Can Be Used Freely and Without Legal Restrictions
Depending on the tool one is using, one should research what the tool says about legally using the generated images for one’s purposes, as sometimes the images are not free to use however one sees fit.
Mistake: Asking for Specific Text, Details, Or Anatomy and Expecting It To Be Rendered Accurately
As mentioned, one should take into account the shortcomings and limitations of the tool when generating images, as some details that one asks for may not be rendered accurately or at all by the program.
Mistake: Failing To Disclose AI-Generated Images When It Is Necessary
Sometimes, it can be necessary to disclose that an image was generated by an AI tool. For example, in the case of journalistic work, an AI-generated image for the article should be disclosed as such if there is a chance the audience would mistake it for a real image. This is an ethical consideration that should be taken into account when utilizing this technology, and one should be mindful of when a disclosure is necessary.
Final Thoughts