Why does AI art screw up hands and fingers? Explanation, Tools, & Facts

Apple’s Text-to-Image AI ‘Image Playground’ Targets Fun, not Photorealism

An added plus is that this AI image generator lets you pick different design styles, such as realistic, expressionist, comic, abstract, fanatical, ink, and more. This helps take the guesswork out of crafting the perfect prompt to get your desired output. This is particularly useful because, many times, you are using an AI-generated image for a larger project, such as a greeting card or social media post, which could benefit from having text added to it. By being able to generate it when you ask for your initial prompt, you save yourself some time uploading the image into another editor after adding the text you’d like. Leonardo.AI’s competitive edge is that you can generate images of characters.

All you have to do is sign in to your Google account, type in a prompt, and let it do the magic for you. You can also take advantage of cool features such as “expressive chips,” which allow you to swap out elements of your prompts for more generations. Harassment campaigns, doxxing, and conspiracy-driven brigades, frequent tactics among the more extreme anti-AI advocates, erode public sympathy and harm developers and artists. Platforms like /r/ArtistHate amplify these behaviors, fostering a toxic environment that discourages transparency and collaboration. While many players voiced concerns about including AI artwork in the game, most expressed support for The Indie Stone, believing the developers acted in good faith and were unaware AI might have been used in the artist’s process. The majority rejected the aggressive tone of the accusations and harassment.

Now you’ll be able to see when generative AI has been used — or when multiple images are combined into one.

This highlights the persistent misconception among some anti-AI advocates that generative AI is merely “typing a prompt” to plagiarize stolen artwork, ignoring the nuance and skill involved in its use. Chris Simpson, one of the game’s developers, addressed the controversy on Reddit. He clarified that the artwork was commissioned from a professional AAA concept artist they had worked with since 2011, the same artist behind the iconic “Bob on Car” artwork. Simpson stated the team was unaware if AI tools were used in the creation process but promised to investigate. “If anyone feels disappointed in us for failing to stop AI artwork from getting into the game, that’s fair enough, and I personally apologize,” he said.

13 Best Free Online AI Photo Editors in 2025 (Latest) – Perfect Corp.

13 Best Free Online AI Photo Editors in 2025 (Latest).

Posted: Mon, 20 Jan 2025 08:00:00 GMT [source]

Recent research found that AI-generated scientific summaries were simpler, improved comprehension, and enhanced trust in scientists compared to human-written summaries, though they slightly reduced perceptions of intelligence. “I am very interested in studying how consumers interact with new and emerging technologies such as generative AI. “When you close your eyes and listen, the sounds around you paint pictures in your mind,” Kang said.

A credit line must be used when reproducing images; if one is not provided below, credit the images to “MIT.” Generated visuals will align with specific brand guidelines or mood boards for a cohesive look. Another major perk of these generators is that they take seconds to generate, with the longest generation taking about a minute. To make the technology more accessible to everyone (regardless of skill level), Stability AI created DreamStudio, which incorporates Stable Diffusion in a UI that is easy to understand and use. Type in whatever prompt you’d like, specifying as much detail as necessary to bring your vision to life, and DALL-E 3 will generate an image that matches your prompt.

The plant expects that project duration will be six months shorter with the new approach than with conventional methods, leading to annual productivity increases in the six-figure euro range. I hope this overview inspires others interested in exploring the creative potential of AI. By sharing my insights and the Colab notebook, I aim to encourage further experimentation and innovation in this exciting field. This project is just a starting point, but it demonstrates the possibilities of agentic AI and AI as a skilled code artist. Another key enhancement to the assistant was to providing it with 5 existing sophisticated P5.js sketches as source material to fine tune the AI artists, encouraging them to innovate and create more complex outputs. Creating the AI artists involved configuring an assistant template in the OpenAI Playground and then maintaining their distinct threads in the notebook to ensure continuity per artist.

Getting a little more detailed in your prompt

You will notice that at ZDNET, we always disclose when we use an AI image generator image in an article, using a disclosure such as, “Sabrina Ortiz/ZDNET via [Image generator name].” The best no-frills AI image generator with unlimited prompts and a straightforward interface. In Copilot, you can meet all your image-generating needs while chatting with the bot and getting all your questions answered. The best AI image generator if you have a reference photo you’d like for the AI image generator to use as inspiration in either structure or style when rendering a new image. If you’ve ever searched Google for hours to find an image you needed, artificial intelligence (AI) may be able to help.

These generative AI tools can do the jobs that were once the preserve of professional photo editors. That’s not to say that just anyone will be able to use tools like this; some people are simply no good at these types of tasks. But what generative AI tools do in general is lower the creative barrier which could useful for a marketing or PR department. The Product Placement tool lets customers upload their own product photos and essentially remix them in any way, shape, or form. Users can generate custom backgrounds that will “seamlessly blend lighting and shadows ensuring ultra‑realistic results that stay true to the original product,” says Getty via a press release. Getty Images has introduced new AI photo editing capabilities allowing customers to create their own product photos using generative AI tools.

Generative AI features

Recently, highly sophisticated and imaginative generative AI models have even been used in the field of architectural design. In Paananen et al.12, students were tasked to design a culture center in a small island using generative AI models, namely DALL-E, StableDiffusion, and Midjourney. Figure 1 in Ref.12 illustrates one of the standout works identified as the best designs12. While it positions itself as an all-in-one marketing app,Jasper is a popular text generator, offering a suite of tools to help users write, optimize and rank their content. The tool can generate content in a variety of brand voices and lengths, whether it’s a social media post, long-form article or press release. Jasper also comes with a chat feature, a language translation tool (trained on more than 80 languages) and an art generator, which produces royalty-free images that can be used in ads, blogs and social media posts.

Frustrations over AI misuse could be better channeled into advocating for systemic change, such as pushing for stronger regulations and corporate accountability. One promising effort is Anthropic’s Constitutional AI initiative, which aims to align AI development with human rights and ethical principles. Supporting initiatives like this and Spawning.ai can help steer AI toward a more equitable and responsible future. I went a little over the top in generating this to make a point about some potential risks of generative AI. Even when the photo is free to use, it’s covered by a license such as Creative Commons or a license from a free site like Pexels or Unsplash.

With the image that DALL-E 2 generated to the prompt “Person works in the nuclear industry”, we used the inpainting prompt “Person near a nuclear power plant in a hazmat suit”. Prompt engineering is an iterative process and helps in efficient interaction with the latent space of generative models. Researchers have identified and classified different type of keywords to produce images closer to desired results37. Certain types of keywords, such as ’hyperrealistic’, ’oil on canvas’, ’abstract painting’,’in the style of a cartoon’, are especially useful in directing the style of the image, as displayed in Table 3.

Navigating the AI art controversy

Hearst Newspapers applies the technology for headlines, SEO keywords and summaries. KSAT-TV uses AI to transcribe videos into text, while News Corp Australia employs generative AI to produce 3,000 local news stories a week. Adobe Firefly’s family of generative AI image tools is built directly into Adobe Creative Cloud, including Photoshop, which makes it a great option for professional creatives looking to experiment. Firefly offers a lot of stylistic and artistic options, and its refinement tools feel similar to editing software that creatives will be familiar with. Firefly is trained on Adobe’s own Stock catalog, which includes high-quality licensed and public domain content. If you’re already paying for an Adobe Creative Cloud subscription, Firefly can be an easy way to mock up ideas or spark inspiration.

The final round was particularly interesting, as the two finalists had to build on their previous work and compete for the top spot. The AI judge’s feedback played a crucial role in shaping their final submissions, with some artists excelling and others faltering under the pressure. The competition structure is straightforward with Round 1 featuring eight AI artists, each competing head-to-head in pairs. The winners move on to Round 2, where four artists compete, and the final two artists face off in Round 3 to determine the champion. While I considered more complex tournament formats, I decided to keep things simple for this initial exploration.

First, critics contend that AI diminishes the creative process by replacing human imagination—which is inherently unpredictable and contextually rich—with a formulaic approach. In other words, the machine is doing all the meaningful work of art, and doing it wrong. Second, AI models are trained on ‘stolen’ artwork, which makes them fundamentally illegitimate.

Artificial intelligence is no longer confined to data crunching and automation; it’s making profound inroads into the creative industries. Generative models like generative adversarial networks (GANs), variational autoencoders (VAEs) and transformers are not just tools—they’re collaborators, pushing the boundaries of what’s possible in art, music and literature. Let’s delve into real-world examples that illustrate this transformative impact.

ChatGPT, Google Gemini and Microsoft Copilot are are pushing AI into all tech, changing how we interact with technology. Suddenly, folks are able to have meaningful conversations with machines, meaning you can ask questions of an AI chatbot in natural language and it would respond with novel answers, much like a human. Current laws surrounding copyright and fair use may need updating as they face legal challenges from creators. A recent challenge decided by the Supreme Court in 2023 did not involve AI, but could indicate how courts may rule in the future.

• It has a comprehensive free plan that gives you ample generation credits at a fast speed.
• AI is accelerating an ongoing institutional collapse of authorship and taste.
• The installation offers a new way of experiencing urban environments through the lens of AI, blending art and technology seamlessly.
• The variety in reactor types (e.g., pressurized water reactors, boiling water reactors, and advanced designs) adds another layer of complexity that AI should handle.
• It still falls foul of many of the same issues around artifacts, people merging and subtle motion difficulties, but overall it is more good more often than others.

The tool generates nine images, more than any other chatbot listed, albeit at a lower quality. Microsoft Designer’s Image Creator is powered by DALL-E 3, OpenAI’s most advanced image-generating model. It produces the same quality results as DALL-E in ChatGPT, but it’s free, helping you circumvent the $20-per-month ChatGPT Plus subscription to use DALL-E 3 as much as you’d like. Adobe has been a leader in developing tools for creative and working professionals for decades.

Researchers Use AI To Turn Sound Recordings Into Accurate Street Images

Some players even mocked the “witch hunt” by posting fake AI detection annotations on the original “Bob on Car” artwork from 2011. While the results were very interesting, and perhaps revealed some insights about visual representation, I think we should also take note of what this cannot tell us, or what the limitations are. That means whatever original work you create using AI, you can use without fear of getting sued for copyright infringement. That also means that anyone can come to your site and steal your AI-generated content. Because AI is not human, copyright laws (as of now) don’t apply to AI-generated work. Instead of spending thousands of dollars for a photo shoot or $200 for a stock photo subscription, I just spent $8 and about 2 minutes of my time.

The image appears very detailed and realistic, though showing only a cooling tower and not a reactor building. Additionally, the image does not accurately depict the attire of nuclear plant workers. DreamStudio produced two male workers in work attire and hard hats inside a nuclear power plant. It did not directly produce anything related to a nuclear power plant, but did display a power transformer. Interestingly, each model only depicted men as nuclear plant workers, thus reproducing existing gender imbalances. It is also notable that DALL-E 2 and DreamStudio generated images of workers who appear to be Caucasian, whereas Craiyon generated an image of an ethnically ambiguous worker.

It seems that more extensive training and meticulous adjustments are necessary. In 2008, McCrum et al.9 used a generative AI model to create realistic images to simulate Martian exploration robots in the software Planet and Asteroid Natural Scene Generation Utility (PANGU). More recently, there has been a dynamic movement towards utilizing generative AI models to create images to improve the quantity and diversity of training data in predictive medical diagnostic programs11.

Of course, that’s not completely true either — all of our norms and culture are not going to be represented in the model’s output, only that which we commit to images and feed in to the training data. We’re seeing some slice of our society, but not the whole thing in a truly warts-and-all fashion. So, we must set our expectations realistically based on what these models are and how they are created. We are not getting a pristine picture of our lives in these models, because the photos we take (and the ones we don’t take, or don’t share), and the images media creates and disseminates, are not free of bias or objective. It’s the same reason we shouldn’t judge ourselves and our lives against the images our friends post on Instagram — that’s not a complete and accurate picture of their life either. Unless we implement a massive campaign of photography and image labeling that pursues accuracy and equal representation, for use in training data, we are not going to be able to change the way this system works.

• For example, traffic sounds or the chirping of nocturnal insects could reveal time of day.
• This includes accurate and natural motion as well as photorealistic visuals.
• Some generators have a hard time adhering to specific prompts, but it’s better to start with a specific prompt and refine or scale back as needed.
• At the end of the diffusion process, we have a decent rendering of what you wanted to generate.

A common thread in the critiques of AI is the fear that the machines are siphoning our creative energies to fuel their own activity. AI acts as an insatiable autonomous engine, indiscriminately consuming intellectual property and natural resources while offering nothing in return, or something we neither need nor want. We are increasingly living inside the corporate imagination of algorithms designed to maximize the profits of the Big Tech companies that engineer them.

Inpainting is most commonly used for the removal of unwanted objects, image restoration, and image editing26. Generative text-to-image AI models are a subset of generative AI models that take text input and create an image based on the input description. Generative AI models can create logical as well as unusual images that would be difficult to find elsewhere, such as a turkey inside a nuclear cooling tower in Fig. From copywriting and content generation to idea creation and more, GenAI has influenced media in both subtle and more audacious ways. For example, newspaper Die Presse uses it to generate interview questions, story ideas and social media headlines. Media groups, including Schibsted, use it to transcribe interviews and for copy editing.

As Table 5’s Prompt 1 shows, one can recognize that they are humans, but the faces are off. For Prompt 3 on the same table, eyes were completely overshadowed by the hat. Our third prompt was “Create a functional diagram of a nuclear reactor core”. DALL-E 2 showed a nuclear reactor core from the top down and got the circle shape right. DreamStudio attempted to create a diagram of a reactor core; the words are not legible and the diagram is difficult to see; this is also not correct on a technological level. Craiyon did not create a diagram, and it created a blue light cylinder on a grey base.