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If you’re looking for a new AI image generator, Leonardo AI art might fit the bill.
Leonardo AI provides a simple, yet powerful, interface to access tons of ready-to-go AI image models.
This saves non-technical users countless hours trying to figure out how to set all of this up.
Not to mention, you won’t need to fork over thousands of dollars for a desktop capable of generating AI images locally.
In this post, I will provide an overview of Leonardo AI, how to get started, and a comparison to Midjourney.
Let’s get started!
Leonardo AI Example
Leonardo AI is an AI image generator platform that provides easy access to a wide variety of pre-trained image models.
According to the Leonardo AI team, the generative AI app aims to revolutionize content production in entertainment verticals like gaming.
Leonardo AI runs on Stable Diffusion and features a text-to-image generation process similar to Midjourney, Dall-E, and similar services.
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The platform is currently limited to early access, but free to use for users that are accepted.
Leonardo AI has experienced tremendous growth.
The Discord server has over 1 million registered users.
First, you will need to sign up for an account on Leonardo AI’s website.
The platform is still limited to early access, so there is no guarantee you will receive access to the service immediately.
Leonardo AI Sign Up
You can speed up this process by joining the Leonardo AI Discord server and filling out the priority white list form.
Once you have created an account, visit the Leonardo AI login screen.
You will then be greeted by the home screen dashboard.
Each model includes a sample image that reflects what you can expect to generate from a particular mode.
Generate with this Model
This will open up the generation view.
Leonardo AI Image Generation Options
The generation view shows:
Number of image generation tokens remaining
Number of images to output
Prompt Magic: Forces image to more strictly adhere to your prompt
Public Images: Anyone can see your images; default on ‘free tier’
Lastly, you enter your image prompt into the field.
You also have the option to include negative prompts that will block various attributes from appearing in your images.
Leonardo AI Assets
Initially, Leonardo AI was created for game developers and artists to generate assets for their projects.
A few examples of types of games assets that work well with generative AI:
While this content is primarily gaming-focused, it also has applications in the broader entertainment industry, marketing, and consumer goods spaces.
Leonardo AI and Midjourney both use similar processes for AI image generation, but there are some key differences to consider.
For most users, Midjourney functions primarily through Discord, while Leonardo AI features a user-friendly visual web app.
The Leonardo AI web app includes graphical elements like sliders and buttons to control properties such as resolution.
On the other hand, Midjourney requires users to adjust parameters within the prompt or Discord command.
Related: Midjourney Tips & Tricks
While Midjourney does not currently offer a free version, Leonardo AI users receive 150 free tokens each day, which translates to roughly 150 images per day.
Lastly, Leonardo AI’s wide selection of internal and community models offers users a wider variety of potential outputs and control over these outputs.
At the end of the day, these platforms are only as powerful as the models they are built on.
Midjourney still appears to have better quality image outputs out of the box.
But with some proper prompt engineering, I wouldn’t be surprised to see Leonardo AI capable of eventually matching this quality.
Leonardo AI is an AI image generation platform that provides users with easy access to a wide variety of Stable Diffusion-based models.
The platform provides an easy-to-use visual dashboard to make the AI image creation process more approachable to new users.
Leonardo AI leverages internal and community AI models to help users generate images from text-based prompts.
Each image generated on the platform consumes roughly one token.
Leonardo AI offers a free version that includes 150 tokens, or roughly 150 AI images.
You can access Leonardo AI by signing up for an account on their website.
The platform is currently in early access mode, but you can speed up this approval process by joining the Leonardo AI discord and filling out a white list form.
Yes, Leonardo AI is capable of producing high-quality AI images based on a wide variety of Stable Diffusion models.
The platform makes this process much easier for less technical users who do not want to go through the trouble of running AI image models on their personal devices.
JJ Fiasson is the Austrailian-based founder of Leonardo AI.
Yes, under the chúng tôi Terms of Service, all rights to an image belong to the person who has generated it.
Yes, it is okay to sell AI art generated by chúng tôi on various platforms like Etsy and stock image websites.
Learn more about how to sell AI art.
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Revolutionizing Startups with AI: Discover the Top Ten Generative AI ToolsGPT-4 by OpenAI:
GPT-4 is OpenAI’s latest language model, boasting enhanced creativity, accuracy, stability, and safety compared to its predecessors. With its large multimodal architecture, GPT-4 accepts both image and text inputs, making it a versatile tool for startups. Although it’s currently available through an API waitlist, startups can benefit from the publicly accessible ChatGPT Plus. GPT-4 has been extensively trained, demonstrating remarkable performance on standardized exams such as the bar exam and AP tests. However, bias in outputs and the lack of image input availability are notable limitations.GitHub Copilot by Microsoft:
AlphaCode, developed by DeepMind, is a powerful generative AI tool designed for problem-solving and coding tasks. With its transformer-based language model, AlphaCode has been trained in various programming languages, excelling in Python and C++. Through extensive pre-training on GitHub repositories and code contests, AlphaCode can solve complex problems similar to human programmers. While it has outperformed its competition in coding competitions, it still falls short of human programmers in some scenarios. AlphaCode is freely accessible on GitHub, making it a valuable resource for startups seeking AI-powered coding solutions.ChatGPT
ChatGPT is a large language model developed by OpenAI based on the GPT-3.5 architecture. It has been trained on a vast amount of text data, allowing it to generate coherent and relevant responses to a wide range of queries. Startups have benefited from ChatGPT’s ability to automate customer service and support, enabling them to provide round-the-clock assistance without the need for a large customer service team. For example, Swiggy, an Indian food delivery startup, has used ChatGPT to improve its customer support and reduce response times, leading to increased customer satisfaction and retention.BARD by Google: DALL-E Cohere Generate by Cohere:
Cohere Generate is a language AI platform developed by Cohere, a company backed by Open AI. It enables startups and businesses to create high-quality and customized text content at scale, reducing the time and effort required for manual content creation. It uses natural language processing and machine learning algorithms to generate content that aligns with the brand’s voice and tone. This tool helps startups to optimize their content marketing efforts, reach their target audience, and improve their overall online presence.Synthesia: Claude by Anthropic:
Claude is an AI language model developed by Anthropic, a UK-based AI startup. It is designed to be more environmentally friendly than traditional language models, consuming 10 times less energy to train and run. Claude’s architecture is also built to be more interpretable, allowing developers to better understand its decision-making processes. This has helped startups that require AI language models but have concerns over the environmental impact of large-scale training.StyleGAN
StyleGAN is a breakthrough technology that generates realistic and high-quality images using deep learning algorithms. It has significantly aided startups in various ways. For instance, startups in the fashion industry can leverage StyleGAN to create virtual try-on experiences, allowing customers to visualize how clothes or accessories would look on them without physically trying them on. Additionally, startups in the gaming sector can utilize StyleGAN to generate lifelike characters and immersive environments, enhancing the overall gaming experience. Its ability to produce visually appealing content has made StyleGAN a valuable tool for startups across multiple industries.
Generative AI is transforming the world but it can disrupt the creative process too
The expansion of Artificial Intelligence is transforming the world. The game of artificial intelligence is evolving thanks to generative AI and other foundation models, which are also speeding up application development and giving non-technical people access to significant capabilities.
Currently, the “creator economy” is estimated to be worth $14 billion annually. Independent authors, podcasters, artists, and musicians may engage with audiences directly and generate their revenue thanks to new internet channels. Individuals can create content on websites like Substack, Flipboard, and Steemit, as well as operate as independent producers and brand managers of their creations. While new technology was disrupting many different industries, it also gave people new opportunities to support themselves through their creativity.
The Article mentions the ways through which Generative AI might disrupt the creative process.
Most businesses now understand how critical it is to incorporate AI to improve the productivity and effectiveness of their human workforce.
AI is being utilized, for instance, to improve the performance of healthcare professionals in high-stakes jobs, to counsel surgeons during surgery, and to aid in cancer screenings.
In a lower-risk setting like customer service, it is also employed. Moreover, robots are employed in warehouses to increase efficiency, reliability, and cost savings.
Additionally, generative AI is driving technology into creativity, a field hitherto regarded to be solely the domain of the human intellect. The technology uses its inputs-the data it has taken in and a user prompt-and experiences-interactions with users that help it “learn” new information and determine what is right and wrong-to produce whole new content.
A strong AI algorithm mixed with a natural language interface will enable humans to generate more ideas and solutions more rapidly, which they can then test out to produce more and better creative output.
Ultimately, this scenario depicts a world of speedier innovation, mostly characterized by rapid iteration, enabled by machine-augmented human creativity.
In this case, generative AI alters the incentive system for producers dramatically and increases societal and corporate risks. There is a real danger that innovation could slack off over time as fewer and fewer original works of art and entertainment are produced by humans as low-cost generative AI replaces authentic human content. Producers already face fierce competition for consumers’ attention spans, and if there is endless content available on demand, this kind of competitiveness-and pressure -will only increase.
The innovation process and, by extension, the competitiveness of any firm have always been critically dependent on creativity. Creativity as a business used to be a strictly human activity. As we demonstrate, this is all going to change with the introduction of generative AI. Hence, to be ready, we must comprehend the risks and difficulties that are present. We can get ready for a future in which human-machine partnerships will be a key component of the creative business once we have a clear understanding of what is changing and how. We offer three suggestions for workers to think about when they use generative AI to produce corporate value and profit in the contemporary creative industries below.
A significant disruptor of our creative activity has emerged with generative AI. Companies and the general public won’t have much patience when new, developing technologies are quickly applied to increase our level of productivity and content creation. Hence, if you want to master the art of creativity in a future where generative AI rules, be prepared to put in a lot of time and effort.
97% of marketers believe that content writing is an essential marketing approach, and 60% of marketers report bringing in new consumers as a result of their content marketing efforts. Copywriting has become essential to digital marketing as businesses strive to increase their online presence and attract more customers. Effective copywriting can assist a company in
Attracting potential customers
Increasing brand awareness
However, creating high-quality and engaging content can be time-consuming and challenging. This is where generative AI comes into play. We prepared this guide to inform businesses about the benefits of generative AI in copywriting, its use cases, best practices, and limitations, and to provide insights for incorporating the technology into their content creation strategies.What is Generative AI?
Generative AI falls under the artificial intelligence (AI) umbrella and can generate new content, such as text, images, or videos. After being trained on large amounts of data, these models can learn to generate output indistinguishable from human-created content. ChatGPT, for instance, is a cutting-edge generative AI model capable of producing natural language text in response to a prompt or input. It keeps 570 GB of data, which is made up of numerous written content like books, articles, websites, etc., in addition to 176 billion attributes.
Figure 1. Visualization of how generative AI tools can be used in different types of content creation
Generative AI models require a large amount of training data and computing resources to function appropriately. Once trained, the model can generate new content by taking a set of input parameters and producing an output.
For example, if you enter the prompt “Once upon a time,” a generative AI model may generate a new story beginning with that phrase. Here’s an example of what the model could produce:
Figure 2. Example of a content creation using ChatGPT-3 with the prompt “Once upon a time”4 benefits of AI content generators in copywriting 1- Speed up the writing process 2- Overcome writer’s block
Writer’s block happens when a content writer feels trapped and unable to generate fresh concepts or strategies. Copywriters can overcome writer’s block and discover new directions by employing AI to generate a list of probable ideas or prompts.
Copywriters can concentrate on other areas of writing, like editing and fine-tuning the content, by employing AI to generate headlines, taglines, and other copy elements. This can lighten the writer’s cognitive burden and simplify generating fresh concepts and strategies.3- Reduce costs
External contractors or agencies may be eliminated with the help of generative AI. Businesses can avoid the high costs associated with hiring external copywriters or agencies by using AI to generate copy, which can be especially costly for small businesses or startups.4- Create a consistent brand image
By learning a company’s language patterns and style, generative AI can ensure constant messaging, leading to more coherent marketing activities and a stronger brand image. AI-generated copy components can also guarantee messaging coherence across various campaigns and media, strengthening the brand’s message and values for boosted engagement and loyalty.Top 6 use cases of generative AI in copywriting 1- Website content & blog posts
AI can generate a first draft of the article or blog post, which can serve as a starting point for human writers to refine and customize the content as needed. Additionally, AI can assist in the research process by identifying relevant sources and citations to support the article’s claims and arguments.2- Social media posts
AI models can find topics, keywords, and content formats that resonate with the target audience by examining consumer data and social media trends. They can then generate posts that align with these customer insights. Each social media platform’s character limits, hashtags, and multimedia formats can also be modified to match the needs for AI-generated posts.
By employing AI to generate social media posts, businesses can give managers more time to work on other parts of social media strategy, such as engagement, analytics, and community management.3- Product descriptions 4- Search Engine Optimization (SEO)
Search engine optimization (SEO) is accomplished through a combination of technical and creative strategies, such as:
optimizing content for keywords
constructing high-quality backlinks
increasing site speed and mobile-friendliness
providing a clear and easy-to-navigate site structure.
Generative AI tools can identify the most relevant keywords and phrases for the target audience and incorporate them into the content to improve its ranking on search engines, which is crucial for SEO. Besides, by analyzing the content and linking structure of the website, generative AI can suggest new opportunities for linking, improving the overall flow of the content, and increasing its search engine ranking.5- Content for mobile apps
By generating content that is optimized for the mobile experience, generative AI can aid in the creation of content for mobile apps. AI models can identify the types of content and formats that are most effective in engaging users on mobile devices, such as short-form videos or personalized notifications, by analyzing user behavior and app usage data. Furthermore, AI-generated content can be tailored to meet the unique needs of each mobile platform, such as:
Screen size (e.g., 320px — 480px for mobile devices)
Device type (e.g., smartphones, tables)
This can help to improve the user experience and increase app engagement.6- Personalized e-mails
AI models can identify customer preferences, behaviors, and purchase history by analyzing customer data and generating content tailored to their needs and interests. This can include personalized subject lines, product recommendations, and offers tailored to each customer’s unique journey.
So, we asked one of the generative AI tools, ChatGPT, to write e-mails for different companies in the healthcare industry to introduce a new product. Here is the prompt:
“A company wants to introduce their new product developed using VR technology that helps to understand Parkinson’s disease better; however, they don’t want to be generic in introducing their product to other businesses in the healthcare market, rather they want to send personalized e-mail to the companies. What would be some e-mail examples?”5 best practices for implementing generative AI in copywriting 1- Fine-tune the model
To improve the precision and relevance of the generated content, fine-tune the generative AI model using a modest amount of brand-specific training data.2- Generate ideas
Instead of depending solely on AI to generate the full piece of content, use the technology to provide ideas and inspiration for content development, such as brainstorming topics or angles.3- Incorporate human oversight
Think of generative AI tools as a complement to human content writers rather than a replacement. Thus, include human editors to ensure the AI-generated content is correct, appropriate, and consistent with the brand’s messaging and style.4- Track the performance of the model
To ensure that the generative AI tool is accurate and useful over time, it should be improved constantly by incorporating suggestions from human writers, tracking its performance, and upgrading its training data.5- Avoid overreliance on the model
To guarantee that the material is relevant and effective, avoid relying too heavily on the generative AI tool. Instead, combine it with other tools and techniques, such as keyword research, market analysis, and customer feedback.3 limitations of generative AI in copywriting
While generative AI has many benefits in copywriting, it has some limitations that may have a significant impact on the content produced.1- Inadequate fact-checking process
Since AI models are only as good as the data they are trained on, written content generated by AI could not always be accurate or based on dependable sources. Due to inaccuracies or inaccurate information, a brand’s reputation or trust may suffer as a result.2- Limited linguistic capabilities 3- Narrow understanding of the context
The ability of generative AI models to produce high-quality content does not imply that they fully comprehend the context in which the material is being created. This could lead to creating content that is off-topic or irrelevant to the audience.
If you have any questions on generative AI, don’t hesitate to contact us:
Begüm is an Industry Analyst at AIMultiple. She holds a bachelor’s degree from Bogazici University and specializes in sentiment analysis, survey research, and content writing services.
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Are you an artist looking for innovative tools to create stunning artworks? Or maybe you’re someone who simply appreciates the beauty of art? Look no further! AI art generators are here to revolutionize the way we create and experience art. Using artificial intelligence algorithms, these generators can produce mesmerizing images, illustrations, and various other forms of art in just a matter of seconds. In this article, we will explore the top 10 free AI art generators as of July 2023, according to various reliable sources. So, let’s dive in and unleash our creativity with these incredible tools!
Also Check: 7 AI Tools To Create Images and Videos In Seconds
One of the top contenders in the world of AI art generators is chúng tôi With its user-friendly interface and impressive capabilities, chúng tôi allows users to create captivating artworks effortlessly. Whether you’re an artist or a non-artist, this platform provides an intuitive experience to bring your imagination to life.
GetIMG is another remarkable AI art generator that deserves a spot on our list. It offers a wide range of features, allowing users to experiment with different styles, parameters, and artistic techniques. Whether you’re a beginner or an experienced artist, GetIMG provides a seamless and enjoyable creative journey.
NightCafe is a popular AI art generator known for its ability to create dreamlike and surreal artworks. It offers a unique collection of styles and themes that cater to various artistic tastes. With NightCafe, you can delve into the realm of imagination and produce artworks that leave a lasting impression.
Shutterstock, a renowned platform for stock photos and images, has ventured into the realm of AI art generation. By leveraging its vast database and AI algorithms, Shutterstock allows users to transform their ideas into compelling visual representations. With a plethora of options and styles at your fingertips, Shutterstock is a treasure trove for both artists and non-artists.
Deep Dream Generator is a versatile AI art generator that empowers users to transform their ideas into captivating visual masterpieces. Whether you’re aiming for realistic landscapes or abstract compositions, this platform provides the tools to unleash your imagination and create artworks that resonate with your artistic vision.
Midjourney offers a unique approach to AI art generation by combining neural networks with style transfer techniques. This fusion results in stunning artworks that blend different artistic styles and elements. With Midjourney, you can embark on an artistic exploration and create compositions that are truly one-of-a-kind.
Pixray is an AI art generator that focuses on transforming text input into visually striking images. By combining the power of language and artificial intelligence, Pixray allows users to generate artworks based on descriptions, keywords, or phrases. If you’re seeking a novel way to bring your ideas to life, Pixray is an excellent tool to explore.
Known for its user-friendly interface and extensive range of design tools, Canva has also ventured into the field of AI art generation. With Canva’s AI-powered features, users can effortlessly create visually stunning artworks, presentations, and designs. Whether you’re a professional artist or a design enthusiast, Canva offers a seamless and enjoyable creative experience.
ModelScope is an AI art generator that leverages the power of machine learning models to inspire and facilitate the creative process. By exploring the vast collection of pre-existing models and styles, users can find inspiration and generate unique artworks that reflect their artistic preferences. ModelScope serves as a gateway to endless possibilities and artistic exploration.
Apart from their primary art generation capabilities, many of these AI art generators offer additional features to enhance your creative experience. These features may include adjusting image size, resolution, aspect ratio, or even incorporating specific elements or themes. While some generators offer these features for free, others may require users to pay for additional credits or premium features. It’s important to explore each platform’s offerings to find the one that suits your specific needs.
The ranking of these AI art generators may vary depending on the source, as each platform has its own unique strengths and weaknesses. To determine the best generator for your needs, it’s worth trying out a few options and experimenting with different styles and parameters. What works best for one person may not necessarily be the ideal choice for another. Ultimately, finding your perfect match depends on your artistic preferences, creative goals, and the overall experience you seek.
With the rise of AI art generators, a debate has emerged regarding the legitimacy of AI-generated art. Some question whether art created by algorithms can be considered “legitimate” or if it diminishes the role of human creativity. However, others argue that AI can serve as a catalyst, inspiring artists to explore new ideas and push the boundaries of artistic expression. Regardless of one’s opinion, AI art generators are undeniably a fascinating example of how technology can be harnessed to amplify and expand the possibilities of art.
AI art generators cater to a wide range of users, including both professional artists and non-artists. They provide accessible tools and features that can be utilized by individuals with varying levels of artistic expertise.
While AI art generators can produce impressive and visually stunning artworks, they are still limited by the algorithms and data they are trained on. The uniqueness of human creativity remains unparalleled, and AI can serve as a tool to complement and inspire human artistic expression.
Many AI art generators offer free access to their platforms and basic features. However, some may require users to pay for additional credits, premium features, or subscription plans. It’s essential to explore each platform’s pricing structure and offerings to determine the best fit for your needs.
AI-generated art is a product of algorithms and pre-existing models, which means that the artworks produced by AI art generators may not be entirely original in the traditional sense. However, the combination of user input, parameters, and AI algorithms can result in unique and visually captivating compositions. The beauty of AI-generated art lies in its ability to explore new possibilities and inspire creative ideas for refinement.
AI art generators can inspire creativity by providing users with a starting point or a spark of inspiration. They offer a vast collection of styles, themes, and techniques that users can explore and build upon. By experimenting with different parameters and styles, artists can uncover new artistic directions and push the boundaries of their creativity.
AI art generators are tools that enhance and complement human artistic expression rather than replacing human artists. While these generators can assist in the creation of artworks, they lack the emotions, experiences, and unique perspectives that human artists bring to their creations. AI art generators should be seen as powerful tools that empower artists and expand the possibilities of artistic expression.
The sale and exhibition of AI-generated artworks depend on various factors, including legal and ethical considerations. It is essential to understand the intellectual property rights associated with the artworks produced by AI art generators and ensure compliance with relevant laws and regulations. Consulting legal professionals and art experts can provide guidance on the appropriate use and commercialization of AI-generated artworks.
In conclusion, the world of art is witnessing a revolution fueled by the integration of artificial intelligence. The 10 best free AI art generators listed in this article offer a glimpse into the vast possibilities of AI-generated art. These tools empower artists and non-artists alike to explore their creative potential and produce visually stunning artworks. Whether you’re seeking to create mesmerizing landscapes, abstract compositions, or unique visual interpretations, AI art generators are a gateway to endless artistic exploration. Embrace the power of AI, unleash your creativity, and let your imagination soar to new heights.
Unlock the Power of Automation with God Mode: The AI Tool that Automates Complex Tasks! Boost Efficiency, Save Time and Streamline Your Workflow Today! Try Now!
God Mode is an AI-powered tool that has the ability to self-generate tasks, take user prompts, and act on new tasks until it meets the original objective. It’s a unique tool that has been designed to automate complex tasks that would otherwise take a lot longer to complete manually. The tool is not entirely automated, as the user has approval rights for every step, allowing for redirection as well.
I began testing the tool with a task that I have already done manually, which was to create a strategy plan to research and engage with art buyers inside large retailers and merch brands. God Mode immediately conducted market research via Google, found lists, and started writing text files with notes.
After letting it run for over an hour, I added a couple of feedback notes to course correct the results. The tool successfully researched and developed a plan, created documents with engagement steps, and created a Python file to perform a specific task. However, it did not pull any contact information, which was a problem. It began to loop over and over, trying to pull contacts from LinkedIn, Google, and directories, but couldn’t pull the data properly.
I decided to test another idea, inspired by @elonmusk’s interview on Monday night, where he talked about finding the meaning of life. I set out to create “TruthGPT” to automate data research, store the data, interpret the dataset, and output findings and understandings on its own.
It worked much more effectively this time, and below are the list of the initial tasks of research.
See More: God Mode Auto GPT: How AI is Revolutionizing Automation
God Mode successfully researched the concept extensively, then created its own documentation to store the findings. It then trained itself on the data, which is quite impressive. After that, it created and ran a Python file, our own “TruthGPT”, to interpret its own dataset and give an output.
The tool successfully researched the concept extensively, then created its own documentation to store the findings. It then trained itself on the data, which is quite impressive. After that, it created and ran a Python file, our own “TruthGPT”, to interpret its own dataset and give an output.
The tool successfully created a text file with the five potential keys to reality as tasked to do, and well, simply put, we made a “TruthGPT” and found the meaning of life. (YAY! 🎉)
(Jokes aside, no, I don’t believe this is an actual “TruthGPT”). However, the process of automating complex tasks with ChatGPT is quite interesting, and soon, I don’t think there will be any gaps.
God Mode takes user prompts and acts on new tasks until it meets the original objective. The user has approval rights for every step, which allows for redirection if needed.
God Mode can automate complex tasks that would otherwise take a lot longer to complete manually.
The benefits of using God Mode include faster task completion, increased efficiency, and the ability to redirect tasks if needed.
In conclusion, God Mode is an AI-powered tool that is capable of automating complex tasks, thus increasing efficiency and reducing the time required to complete them. The tool takes user prompts and acts on new tasks until the original objective is met, with the user having approval rights for every step. While the tool is not entirely automated, it offers a unique approach to automating tasks with the ability to redirect tasks if necessary.
The tool has been tested, and it has shown its ability to conduct market research, create plans, and run Python files. Although there were some limitations in pulling data from sources, the tool was able to perform the desired tasks effectively. Additionally, the tool was tested on the creation of “TruthGPT,” which successfully researched and interpreted data to provide an output, even if it was just for fun.
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