Latest news with #Imagen
Associated Press
5 days ago
- Business
- Associated Press
Imagen Network Builds Transparent Curation Engines Using RLUSD for Adaptive Web3 Interactions
Subtitle: RLUSD integration supports more intelligent, fair, and scalable peer engagement across decentralized social tools. Singapore, Singapore--(Newsfile Corp. - July 25, 2025) - Imagen Network (IMAGE), the decentralized AI-powered social platform, has launched transparent curation engines powered by Ripple Labs' RLUSD stablecoin. These engines are designed to foster adaptive, bias-resistant content discovery, powered by real-time feedback loops and AI-led moderation across multichain ecosystems. [ This image cannot be displayed. Please visit the source: ] Advancing decentralized interaction with adaptive, AI-powered content systems. To view an enhanced version of this graphic, please visit: By integrating RLUSD, Imagen ensures faster, cost-effective on-chain interactions while maintaining equitable visibility for user-generated content. This upgrade allows communities to define and govern their content streams based on shared values, not opaque algorithms. Curation is decentralized, composable, and sensitive to peer engagement patterns-giving users and creators stronger influence over what thrives. The curation engine also helps to detect spam, enhance signal quality, and elevate discovery across personalized feeds. With RLUSD supporting payment rails and content validation, creators benefit from stable transactions while users gain access to frictionless, high-quality content tailored to their preferences. This upgrade reflects Imagen's commitment to redefining how content, communities, and creators interact-powering a future where AI and blockchain amplify human creativity, not control it. About Imagen Network Imagen Network is a decentralized social platform that blends AI content generation with blockchain infrastructure to give users creative control and data ownership. Through tools like adaptive filters and tokenized engagement, Imagen fosters a new paradigm of secure, expressive, and community-driven networking. Media Contact Dorothy Marley KaJ Labs +1 707-622-6168 [email protected] Social Media Twitter Instagram To view the source version of this press release, please visit
Associated Press
17-07-2025
- Business
- Associated Press
Imagen Network Uses RLUSD to Improve Multichain AI Utility in Personalized Social Apps
Ripple's stablecoin enhances transactional efficiency and AI-driven customization across decentralized environments. Singapore, Singapore--(Newsfile Corp. - July 17, 2025) - Imagen Network, the decentralized AI-powered social platform, has integrated Ripple Labs' stablecoin RLUSD to strengthen multichain utility across its personalized AI applications. This strategic move enables faster, more stable transactions across Ethereum, BNB Chain, and Solana—allowing users to unlock AI tools, governance, and creator services with improved flexibility. [ This image cannot be displayed. Please visit the source: ] Strengthening AI-powered social tools with stable, multichain payments. To view an enhanced version of this graphic, please visit: RLUSD is now supported across Imagen's modular dApp ecosystem, enabling community nodes and individual users to process service payments, content boosts, identity features, and subscription tiers with reduced volatility and faster settlement. With a USD-backed stable value, RLUSD provides accessibility for both crypto-native and traditional users, increasing global onboarding potential. This integration enhances Imagen's AI-based content filters, personalization engines, and creator monetization features—ensuring real-time, chain-agnostic access. It also powers community initiatives like airdrops, governance participation, and direct peer support within decentralized spaces. Imagen Network continues to redefine user-centric social platforms by merging intelligent tooling, transparent infrastructure, and adaptable payment systems designed to scale across borders and chains. About Imagen Network Imagen Network is a decentralized social platform that blends AI content generation with blockchain infrastructure to give users creative control and data ownership. Through tools like adaptive filters and tokenized engagement, Imagen fosters a new paradigm of secure, expressive, and community-driven networking. Media Contact Dorothy Marley KaJ Labs +1 707-622-6168 [email protected] Social Media Twitter Instagram To view the source version of this press release, please visit
Campaign ME
11-07-2025
- Business
- Campaign ME
Google launches Flow & Gemini's photo-to-video capability in MENA
With over 40 million Veo 3 videos generated across the Gemini app and Flow over the last seven weeks. Google is now launching a new photo-to-video capability in Gemini, allowing creators and artists to transform their favorite photos into dynamic eight-second video clips with sound. Google is also launching Flow, the only AI filmmaking tool custom-designed for Google's most advanced models — Veo, Imagen and Gemini. Flow can help storytellers explore their ideas without bounds and create cinematic clips and scenes for their stories. Users can get creative by animating everyday objects, bringing their drawings and paintings to life or adding movement to nature scenes. Once the video is complete, users can tap the share button or download it to share with friends and family. To turn photos into videos, select 'Videos' from the tool menu in the prompt box and upload a photo. Then, describe the scene and any audio instructions, and watch as the selected still image transforms into a dynamic video. Flow comes with a range of features for professionals or those just getting started: Camera Controls : Master some shots with direct control over camera motion, angles and perspectives. : Master some shots with direct control over camera motion, angles and perspectives. Scenebuilder : Seamlessly edit and extend existing shots — revealing more of the action or transitioning to what happens next with continuous motion and consistent characters. : Seamlessly edit and extend existing shots — revealing more of the action or transitioning to what happens next with continuous motion and consistent characters. Asset Management: Easily manage and organize all of the ingredients and prompts. The new capability is available to Google AI Ultra and Pro subscribers across the Middle East and North Africa, starting today. All generated videos include a visible watermark to show they are AI-generated and an invisible SynthID digital watermark.
CNET
10-07-2025
- CNET
Over 40 Million AI Videos Have Been Made With Google Veo 3 Since May: How My Expert Testing Went
Google's most advanced AI video model continues to be dominant. Veo 3 made a splash when it was released at Google I/O in May, boasting one big, audible difference from other AI video generators: It can create sound, synchronized to a scene's action. And people have been taking advantage of it -- more than 40 million Veo 3 videos have been created in the last seven weeks, across Gemini and its new filmmaker-focused tool called Flow, Google said in a blog post on Thursday. Upgrades like the ones also announced Thursday mean that number will likely only increase. Google is introducing a new photo-to-video capability through the Gemini app. With the feature, you can upload a picture you took, or one you generated through Imagen, and Veo 3 will animate it. In your prompt, you can describe the audio you want in the video, like dialogue. The image-to-video capability is rolling out now on the web and throughout the week on mobile. Even before these updates, Veo 3 users were quick to share their impressive-looking videos online. I spend a lot of time testing and reviewing AI, specifically image and video generators, and I've seen enough slop and hallucinations to approach it all with skepticism. But after seeing the videos, I knew I had to dive in and put Veo 3 to the test. Without spoiling anything, I walked away from Veo feeling like this was the next natural step for Google, with one feature in particular giving the company an edge that might make it a more serious contender in the AI creative space. But there are serious limits and annoyances that I hope are addressed soon. Here's how my experience went and what you need to know. Veo 3 availability, pricing and privacy There are a couple of different ways to access Veo 3. Unfortunately, all of them will require you to pay up in some way. Veo 3 is currently available through Google AI Pro, Google AI Ultra, Flow and Google Vertex. Google recently expanded access to a version of Veo 3 (Veo 3 fast) to its cheaper $20 per month plan, Google AI Pro. Pro users get limited access to Veo 3, which is good if you just want to play around with it. To get full access, you'll need Google AI Ultra -- the newest, priciest tier at $250 per month. (It's currently half off for $125 per month for three months.) Flow is Google's new filmmaking-focused AI tool, available for those paying Pro and Ultra subscribers. Vertex is Google's AI enterprise platform, and you'll know if you have access to it. Google's Gemini privacy policy says the company can collect your info to improve its technologies, which is why it recommends not sharing any confidential information with Gemini. You also agree to Google's prohibited use policy, which outlaws the creation of abusive or illegal content. My wild ride with Veo 3 The most impressive thing about Veo 3 is its new audio generation capabilities. You don't have to tell Gemini in your prompt that you want sound; it will automatically add it. This is a first among competitors like OpenAI's Sora and Adobe's Firefly and it certainly gives Google a huge edge. While the AI audio is a nice perk, it isn't perfect. If you're familiar with the somewhat clunky nature of AI-generated music and dialogue, you'll be able to identify it immediately. But there were times when it flowed more naturally. The clashing metal sounds and grunts in my alien fight scene were timed perfectly to their attacks, something that would've been difficult to add on my own afterward. But the dinosaur-like aliens also literally say "roar" and "hiss" instead of making those noises. My kayaker's paddling very nearly matched up with the water sloshing sound. The nature ambience in that video was particularly lovely and added a layer of depth that's been missing from AI videos. To give Veo a challenge, I wanted overlapping sound in this beach bonfire party scene. What I got was fine, but nothing show stopping. My dream beach bonfire partiers didn't sound like any party I've ever been to, but still, points for being first and relatively unproblematic. Of course, while the audio was nice, it doesn't take away from the weird eccentricities that continue to plague AI generators. I ran into a few hiccups, mostly with people's faces, a notoriously hard thing for AI to mimic. But compared to the glaringly obvious errors I ran into with Veo 2, the new generation does appear to have made real improvements as Google claimed it did. I run into hallucinations a lot when I'm testing AI image and video generators, so the first thing I do is look for whether a service gives me the ability to edit it. Veo 3 doesn't offer any of these, which is a bummer. It's certainly something that's going to make it less useful for professional creators, who are used to more fine-tuning editing tools and need to make precise tweaks for their projects. You can send a follow-up prompt asking for specific changes. For example, I asked Veo to change the angle in the previous video so I could see her face, which the program handled well. With Veo 3, you'll typically have to wait 3 to 5 minutes for a new, edited video to load, though. Veo 3 has the longest generation time of any AI video generator I've tested. But the addition of audio to the videos excuses the longer wait time in my eyes. The worst part of Veo 3 is how quickly I hit my daily generation limit. After only five videos, I was barred for an entire 24-hour period -- something that really annoyed me and made it much harder to assess. Google's VP of Gemini and Google Labs, Josh Woodward, said in a post on X/Twitter that Ultra subscribers like me have the highest number of generations that reset daily, in the regular Gemini app and in Flow. And for me, that limit in Gemini was five videos. Flow's limit is 125, according to Woodward. I reached out to Google to get clarity on what the daily limit is for Ultra users creating through Gemini that Woodward mentions. Here's the response: "Google AI Ultra subscribers get the highest level of access to Veo 3, our state-of-the-art video generation model, which they can use in both the Gemini app and Flow, our new AI filmmaking tool." The limits are another sign that this isn't a tool meant for professional creation and iterative editing. You need to spend time thoughtfully crafting your prompt and if Google flubs a face or glitches, you're likely to run out of credits fast and end up out of luck. Veo 3 is better suited for AI enthusiasts who want to dip their toes in video creation, not creators experimenting with AI. Is Veo 3 worth the cost? After an underwhelming experience with Veo 2, I had reservations about what to expect in the usefulness and accuracy of Veo 3. But the new model was impressive, the audio especially, even though it's still missing some key features. Let me be clear: There is no rational reason to spend hundreds of dollars on a Google AI Ultra plan only to use Veo 3. If you want to dabble for fun, I recommend starting with the cheaper Google AI Pro plan, or use Veo 2 for hundreds less per month. The Ultra plan does offer other features, like YouTube Premium, 30 terabytes of space and access to the newest Gemini models. So if you want any of those things, then, yeah, pay up and go play around with Veo 3. But it's not worth it on its own. Veo 3 isn't the revolutionary upgrade those social media posts might lead you to believe. It's the next generation, better than last month's Veo 2, and it shows real promise in Google's future AI video endeavors. But be prepared to pay up if you want to try it out.
Android Authority
22-06-2025
- Android Authority
I tested Gemini's latest image generator and here are the results
Back in November, I tested the image generation capabilities within Google's Gemini, which was powered by the Imagen 3 model. While I liked it, I ran into its limitations pretty quickly. Google recently rolled out its successor — Imagen 4 — and I've been putting it through its paces over the last couple of weeks. I think the new version is definitely an improvement, as some of the issues I had with Imagen 3 are now thankfully gone. But some frustrations still remain, meaning the new version isn't quite as good as I'd like. How often do you create images with AI? 0 votes It's a daily thing for me. NaN % Maybe once per week. NaN % A few times per month. NaN % Never. NaN % So, what has improved? The quality of the images produced has generally improved, though the improvement isn't massive. Imagen 3 was already generally good at creating images of people, animals, and scenery, but the new version consistently produces sharper, more detailed images. When it comes to generating images of people — which is only possible with Gemini Advanced — I had persistent issues with Imagen 3 where it would create cartoonish-looking photos, even when I wasn't asking for that specific style. Prompting it to change the image to something more realistic was often a losing battle. I haven't experienced any of that with Imagen 4. All the images of people it generates look very professional — perhaps a bit too much, which is something we'll touch on later. One of my biggest frustrations with the older model was the limited control over aspect ratios. I often felt stuck with 1:1 square images, which severely limited their use case. I couldn't use them for online publications, and printing them for a standard photo frame was out of the question. While Imagen 4 still defaults to a 1:1 ratio, I can now simply prompt it to use a different one, like 16:9, 9:16, or 4:3. This is the feature I've been waiting for, as it makes the images created far more versatile and usable. Imagen 4 also works a lot more smoothly. While I haven't found it to be noticeably faster — although a faster model is reportedly in the works — there are far fewer errors. With the previous version, Gemini would sometimes show an error message, saying it couldn't produce an image for an unknown reason. I have received none of those with Imagen 4. It just works. Still looks a bit too retouched While Imagen 4 produces better images, is more reliable, and allows for different aspect ratios, some of the issues I encountered when testing its predecessor are still present. My main problem is that the images often aren't as realistic as I'd like, especially when creating close-ups of people and animals. Images tend to come out quite saturated, and many feature a prominent bokeh effect that professionally blurs the background. They all look like they were taken by a photographer with 15 years of experience instead of by me, just pointing a camera at my cat and pressing the shutter. Sure, they look nice, but a 'casual mode' would be a fantastic addition — something more realistic, where the lighting isn't perfect and the subject isn't posing like a model. I prompted Gemini to make an image more realistic by removing the bokeh effect and generally making it less perfect. The AI did try, but after prompting it three or four times on the same image, it seemed to reach its limit and said it couldn't do any better. Each new image it produced was a bit more casual, but it was still quite polished, clearly hinting that it was AI-generated. You can see that in the images above, going from left to right. The first one includes a strong bokeh effect, and the man has very clear skin, while the other two progress to the man looking older and older, as well as more tired. He even started balding a bit in the last image. It's not what I really meant when prompting Gemini to make the image more realistic, although it does come out more casual. Imagen 4 does a much better job with random images like landscapes and city skylines. These images, taken from afar, don't include as many close-up details, so they look more genuine. Still, it can be a hit or miss. An image of the Sydney Opera House looks great, although the saturation is bumped up quite a bit — the grass is extra green, and the water is a picture-perfect blue. But when I asked for a picture of the Grand Canyon, it came out looking completely artificial and wouldn't fool anyone into thinking it was a real photo. It did perform better after a few retries, though. Editing is better, but not quite there One of my gripes with the previous version was its clumsy editing. When asked to change something minor — like the color of a hat — the AI would do it, but it would also generate a brand new, completely different image. The ideal scenario would be to create an image and then be allowed to edit every detail precisely, such as changing a piece of clothing, adding a specific item, or altering the weather conditions while leaving everything else exactly as is. Imagen 4 is better in this regard, but not by much. When I prompted it to change the color of a jacket to blue, it created a new image. However, by specifically asking it to keep all other details the same, it managed to maintain a lot of the scenery and subject from the original. That's what happened in the examples above. The woman in the third image was the same, and she appeared to be in a similar room, but her pose and the camera angle were different, making it more of a re-shoot than an edit. Here's another example of a cat eating a popsicle. I prompted Gemini to change the color of the popsicle, and it did, and it kept a lot of the details. The cat's the same, and so is most of the background. But the cat's ears are now sticking out, and the hat is a bit different. Still, a good try. Despite its shortcomings, Imagen 4 is a great tool Even with its issues and a long wishlist of missing functionality, Imagen 4 is still among the best AI image generators available. Most of the problems I've mentioned are also present in other AI image-generation software, so it's not as if Gemini is behind the competition. It seems there are significant technical hurdles that need to be overcome before these types of tools can reach the next level of precision and realism. Other limitations are still in place, such as the inability to create images of famous people or generate content that violates Google's safety guidelines. Whether that's a good or a bad thing is a matter of opinion. For users seeking fewer restrictions, there are alternatives like Grok. Have you tried out the latest image generation in Gemini? Let me know your thoughts in the comments.
