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This AI image generator lets you create NSFW art, and it's only £30 for life
This AI image generator lets you create NSFW art, and it's only £30 for life

Yahoo

time3 days ago

  • Entertainment
  • Yahoo

This AI image generator lets you create NSFW art, and it's only £30 for life

The following content is brought to you by Mashable partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. TL;DR: Create anything, even NSFW art, with a lifetime subscription to Imagiyo for only £29.68. Opens in a new window Credit: Imagiyo Imagiyo AI Image Generator: Lifetime Subscription (Standard Plan) £29.70 £367.57 Save £337.87 Get Deal Digital creativity has never been more accessible, yet many of us remember the days when crafting a single image meant wrestling with layers and plugins for hours on end. Now there's a way to generate stunning visuals in seconds, simply by typing a description of what you have in mind. Imagiyo (on sale for life for £29.68) uses Stable Diffusion AI alongside FLUX AI to turn text prompts into high-quality images ready for commercial use, and there aren't many limits to what you can create. Here's what that means. What do you want to make first? It only takes a brief description to put Imagiyo's advanced algorithms to work, and unlike other image generators, Imagiyo actually lets you really follow your creativity. Craft stunning landscapes, visualise characters from books, or go for something a little more daring. Imagiyo supports NSFW content creation. Just set your prompts to private and let your mind run wild. Imagiyo's commercial-use license means you can take some of the images you generate and incorporate them into client projects, social media campaigns, or personal portfolios without fear of copyright issues. Each month, you receive 500 image-generation credits and can submit up to two prompts at once. Unused credits roll over, so you never lose access to your creative potential. Best of all, Imagiyo delivers your purchased engine updates and feature improvements automatically, ensuring you always work with the latest AI models. Get an Imagiyo AI Image Generator lifetime subscription for £29.68. StackSocial prices subject to change

Imagiyo Makes AI Art Generation Super Easy and Affordable
Imagiyo Makes AI Art Generation Super Easy and Affordable

Yahoo

time3 days ago

  • Business
  • Yahoo

Imagiyo Makes AI Art Generation Super Easy and Affordable

The following content is brought to you by PCMag partners. If you buy a product featured here, we may earn an affiliate commission or other compensation. If you'd like to streamline your image game, for work or fun, Imagiyo is a powerful AI image generator built for creators, marketers, designers, and anyone who needs stunning visuals on demand. For a limited time, you can get lifetime access to the Imagiyo AI Image Generator Standard Plan for just $39.97 (reg. $495) through July 20. Imagiyo uses Stable Diffusion and FLUX AI to generate high-quality images from simple text prompts. Whether you're designing ad creatives, book covers, social posts, or custom artwork, Imagiyo delivers impressive results. The platform supports multiple image sizes, advanced models, and commercial use rights, giving users full flexibility and ownership over their content. The user interface is clean and responsive across all devices, making it easy to generate and download images in seconds. Using privacy mode, you can even create NSFW content. Skip the subscriptions and pay once to generate limitless visuals. Whether you're outfitting a small business with creative content or just tired of using generic stock images, Imagiyo is a one-time investment that delivers value immediately—and for years to come. Get access to the Imagiyo AI Image Generator Standard Plan for just $39.97 (reg. $495). Prices subject to change. PCMag editors select and review products independently. If you buy through StackSocial affiliate links, we may earn commissions, which help support our testing.

Getty Images CEO: Spending Millions on One AI Copyright Case
Getty Images CEO: Spending Millions on One AI Copyright Case

Entrepreneur

time28-05-2025

  • Business
  • Entrepreneur

Getty Images CEO: Spending Millions on One AI Copyright Case

Getty Images is accusing Stability AI of copying 12 million images from its database without permission or compensation. Getty's CEO says it is costing the company millions of dollars to fight a leading AI firm in court over alleged copyright infringement. In January 2023, Getty Images launched a lawsuit against Stability AI, the company behind a popular text-to-image generator, Stable Diffusion. Getty, one of the world's largest stock photo companies, alleged that Stability AI illegally scraped more than 12 million copyright-protected photos, videos, and illustrations from its website to train its AI image generator. Now, Getty CEO Craig Peters says that though he believes Getty has a "very strong" case against Stability AI, fighting the AI company in court has been costly. "We're spending millions and millions of dollars in one court case," Peters told CNBC on Wednesday, calling the effort "extraordinarily expensive." Related: Getty Images Has Started Legal Proceedings Against an AI Generative Art Company For Copyright Infringement Peters said that though copyright infringements happen every week, Getty is selectively choosing to fight against Stability AI in court because "the courts are just prohibitively expensive" to pursue every infringement. Craig Peters, CEO of Getty Images. Photo byfor Vox Media AI image generators are popular. Emad Mostaque, Stability AI's CEO until March 2024, told Bloomberg in October 2022 that Stable Diffusion had more than 10 million daily users, and that people tapped into the AI image generator for everything from designing apps to creating slideshows. As of April 2024, one in five Americans were using AI to create images and videos. Peters accused Stability AI of stealing Getty's copyright-protected material to develop AI models as part of a competing business. He said that AI companies are making the argument that paying for access to creative works would "kill innovation" by raising costs, but argues that taking copyrighted work without permission or compensation is really stealing. "We're not against competition," Peters told CNBC. "But that's just unfair competition, that's theft." Stability AI argues that its AI model was trained on Getty Images through "temporary copying," which is momentarily copying the picture to train the dataset. However, the AI company argues that its AI ultimately creates new pictures and does not replicate its training content in the final images it generates. In short, the end AI-generated image has no copy of the original training data. It's unclear whether temporary copying is legal, but courts are analyzing it for other generative AI cases. Related: Getty and Shutterstock Are Merging. Here's What It Means for Creators and Businesses. Getty is suing Stability AI in both the U.S. and the U.K. because the AI training could have taken place in either location. Getty is reportedly seeking $1.7 billion in damages, according to its latest company accounts. The case is set for an initial trial on June 9. Stability AI. In January 2023, a group of artists filed a class-action lawsuit against Stability AI and other AI image generator companies like Midjourney and DeviantArt, alleging copyright infringement. The artists alleged that these companies trained AI on their work without their permission.

Getty Images spending millions to battle a 'world of rhetoric' in AI suit, CEO says
Getty Images spending millions to battle a 'world of rhetoric' in AI suit, CEO says

CNBC

time28-05-2025

  • Business
  • CNBC

Getty Images spending millions to battle a 'world of rhetoric' in AI suit, CEO says

LONDON — Getty Images is spending millions of dollars to take on a "world of rhetoric" through its Stability AI suit, the photo licensing company's boss Craig Peters says. Peters told CNBC in an interview that both Stability AI — the U.K.-based startup best known for its text-to-image model Stable Diffusion — and other AI labs are stealing copyright-protected material to train their AI models for commercial gain. These firms, he said, are taking copyrighted material to develop their powerful AI models under the guise of innovation and then "just turning those services right back on existing commercial markets." "That's disruption under the notion of 'move fast and break things,' and we believe that's unfair competition," Peters added. "We're not against competition. There's constant new competition coming in all the time from new technologies or just new companies. But that's just unfair competition, that's theft." Getty is suing Stability AI in both the U.K. and U.S. over allegations that the company copied 12 million images without permission or compensation "to benefit Stability AI's commercial interests and to the detriment of the content creators." Stability AI has contested the legal action, saying it doesn't consider Getty's claims to have merit. The company acknowledges some images from Getty Images websites were used to train its Stable Diffusion model. However, the firm denies it's liable in respect to any of the claims Getty has made. Stability AI declined to comment on this story when contacted by CNBC. The firm has previously argued its use of copyright-protected material online is sound under the "fair use" doctrine, which permits limited use of copyrighted material in certain circumstances — such as "transformative" uses that add new expression or meaning to original works. Technology startups like OpenAI, Anthropic and Mistral have flourished by taking vast amounts of data from the open web and using it to train their foundational AI models, which can produce lifelike texts, images and videos. However, the strategies of these firms have raised concerns over their use of copyrighted material. Several lawsuits have targeted AI firms over alleged copyright infringements from The New York Times' suit against OpenAI to several U.S. record labels' claims against AI music generation services Suno and Udio. Peters said the AI industry is making the argument that if developers are forced to pay for access to creative works, this will "kill innovation." "We're battling a world of rhetoric," the CEO told CNBC. Part of the reason Getty Images is pursuing legal action specifically against Stability AI and not other firms is because such legal pursuits are "extraordinarily expensive," Peters added. "Even for a company like Getty Images, we can't pursue all the infringements that happen in one week." "We can't pursue it because the courts are just prohibitively expensive," he said. "We are spending millions and millions of dollars in one court case." AI startups are being funded to the tune of several billions of dollars to develop their foundational models, with tech heavyweights like Microsoft, Google and Amazon ploughing cash into the field. Nevertheless, Peters acknowledges that it's not been an easy fight. "I think our case is very strong. But I'm going to caveat that: we had to file in the U.S. and the U.K., and to be candid, we didn't know where this training took place," he said. "There are elements where we have to go through and then we've got to spend money for due diligence, and they resist and we've got to fight, and we go back and forth," Peters added. "The facts in aggregate at a global scale I think are absolutely in our favor. How they manifest themselves around the geographic and legal constructs that are there I think is still stuff that we're going to have to continue to play out." The case is set for an initial trial to determine liability from June 9.

One of Europe's top AI researchers raised a $13M seed to crack the ‘holy grail' of models
One of Europe's top AI researchers raised a $13M seed to crack the ‘holy grail' of models

Yahoo

time27-05-2025

  • Business
  • Yahoo

One of Europe's top AI researchers raised a $13M seed to crack the ‘holy grail' of models

From OpenAI's 4o to Stable Diffusion, AI foundation models that create realistic images from a text prompt are now plentiful. In contrast, foundation models capable of generating full, coherent 3D online environments from a text prompt are only just emerging. Still, it's only a question of when, not if, these models will become readily available. Now one of Europe's most prominent AI 3D model researchers, Matthias Niessner, has taken an entrepreneurial leave of absence from his visual computing & AI lab at the Technical University of Munich to found a startup working in the area: SpAItial. Formerly a cofounder at Synthesia, the realistic AI avatar startup valued at $2.1 billion, Niessner has raised an unusually large seed round for a European startup of $13 million. The round was led by Earlybird Venture Capital, a prominent European early-stage investor (backers of UiPath, PeakGames for instance) with participation from Speedinvest and several high-profile angels. That round size is even more impressive when taking into account that SpAItial doesn't have much to show the world yet other than a recently released teaser video showing how a text prompt could generate a 3D room. But then, there's the technical team that Niessner assembled: Ricardo Martin-Brualla, who previously worked on Google's 3D teleconferencing platform, now called Beam; and David Novotny, who spent six years at Meta where he led the company's text-to-3D asset generation project. Their collective expertise will give them a fighting chance in a space that already includes some competitors with a similar focus on photorealism. There's Odyssey, which raised $27 million and is going after entertainment use cases. But there's also World Labs, the startup founded by AI pioneer Fei-Fei Li, and already valued at over $1 billion. Niessner thinks this is still little competition compared to what exists for other types of foundation models, but also in regard to 'the bigger vision' he and others are pursuing. 'I don't just want to have a 3D world. I also want this world to behave like the real world. I want it to be interactable and [let you] do stuff in it, and nobody has really cracked that yet,' he said. Nobody has really cracked yet what the demand for photorealistic 3D environments might be, either. The promise of a 'trillion-dollar' opportunity ranging from digital twins to augmented reality seems big enough to excite VCs, but it is also vague and multifaceted enough to make go-to-market strategy hard to figure out. The most obvious use case is for video game creation, but these models could also have applications in entertainment, 3D visualizations used in construction, and eventually usage in the real world for areas like robotic training. Niessner is hoping to bypass that issue by having developers license the foundation model to come up with downstream applications for specific uses. He also enlisted a fourth cofounder, former Cazoo executive Luke Rogers, once his roommate in Palo Alto while he was a visiting assistant professor at Stanford, to help him on the business side. One of the first tasks on SpAItial's roadmap will be to identify partners that can work with earlier models, versus those that would have to wait for higher quality. 'We want to at least work with a few partners,' Niessner said, 'and see how they can use the APIs.' Compared to other well-funded AI startups, SpAItial is putting revenue higher up on its agenda. But first, it will have to spend some, both on compute and on hiring. For the latter, its focus is on quality, not quantity. According to Niessner, 'the team is not going to grow to hundreds of people right away; it's just not happening, and we don't need that.' Instead, Niessner and his cofounders are working on generating larger and more interactive 3D spaces, where, for example, a glass can shatter realistically. This would unlock what Niessner refers to as the 'Holy Grail': that a 10 year old could type in some text and make their own video game in 10 minutes. In his view, this ambitious goal is actually more achievable than what might seem like the low-hanging fruit — letting users create3D objects — since most gaming platforms still tightly control what third parties can add. That is, of course, unless they decide to build it themselves, as Roblox might. But by then, SpAItial might be busy replacing CAD instead; the next chapter in 3D generation is only beginning. This article originally appeared on TechCrunch at Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

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