Latest news with #Midjourney
Time of India
18 hours ago
- Business
- Time of India
Bots Before Bros? Not Quite—We're in This Together.
Live Events For a while, artificial intelligence (AI) felt like a sci-fi fantasy appearing in headlines and presentations. The excitement was clear, but so was the doubt. People worried about job losses, ethical issues, and systems going out of control. But here's the fact: the AI hype isn't over; it's just changing we see now is a shift from unrealistic expectations to real actions. In 2023 and early 2024, AI dominated the news cycle. ChatGPT , Midjourney, Claude , and Sora were everywhere; everyone wanted a piece of the action. Today, that buzz has calmed down a bit. However, beneath the surface, AI is growing into something much more stable: a key business tool and an everyday productivity healthcare. AI is not replacing doctors; it is enhancing their work. It speeds up diagnostics, highlights issues in scans, and even predicts patient outcomes. In education, tools like Khanmigo and AI tutors are making learning more personalized and accessible. In journalism, AI helps editors organize research and sort through vast amounts of data without losing editorial is the build phase of AI. It isn't loud, but it is impactful. Companies are investing, governments are regulating, and developers are improving their tools. Importantly, individuals are learning to work with AI rather than against it. We have moved beyond the time when AI was just a novelty; it is now a new era is not about humans versus machines; it's about humans plus AI. When people learn how to create effective prompts, check outputs, and think critically with AI as a partner, the results can be transformative. In creative fields, AI serves as a partner for writing, designing, coding, and filmmaking. In operations, it handles routine tasks so humans can focus on strategy and there are risks. We must discuss ethical issues, reduce biases, and enforce guidelines. But dismissing AI as a passing fad or viewing it as a threat is not only outdated; it is short-sighted. The winners of this decade will be those who embrace AI with responsibility, openness, and narrative has shifted from 'AI is coming' to 'AI is already here.' It is quietly changing how we work, live, and create. This is not the end of AI hype. This marks the start of real AI don't step back; step up. Learn, grow, and partner with the technology that is shaping our future. The best move now is to join forces with AI and build something better together.
Geeky Gadgets
20 hours ago
- Entertainment
- Geeky Gadgets
How to Unlock Emotional Depth in Midjourney Videos : From Static to Stunning
What if your next video could not only move but feel? Imagine a scene where a character's subtle smirk or a fleeting look of sorrow resonates so deeply that it feels almost human. With advancements in tools like Midjourney's image-to-video feature, this level of emotional depth is no longer confined to big-budget productions. Instead, it's becoming accessible to creators who are willing to blend technical precision with artistic experimentation. The result? Videos that don't just tell stories—they immerse audiences in them. From lifelike animations to surreal, otherworldly visuals, the possibilities are as vast as your imagination. In this piece, Future Tech Pilot explore how to harness the full potential of Midjourney's tools to create videos that are both visually stunning and emotionally impactful. You'll uncover techniques for achieving realistic motion, crafting nuanced emotional expressions, and refining your visuals with retexturing and style reference codes. Whether you're aiming for seamless realism or bold artistic flair, the insights here will help you push creative boundaries. As you read on, consider this: What story could you tell if your animations didn't just move but truly connected with your audience? Mastering Midjourney Videos The Role of Art Style in Animation The art style of your initial image plays a pivotal role in shaping the quality of motion and animation in your video. Realistic styles tend to produce smoother, more natural movements, making them ideal for projects that require lifelike animations. On the other hand, cartoonish or exaggerated styles often result in more dynamic but less fluid motions. While these styles can be effective for specific creative purposes, they may lack the seamless flow associated with realism. By carefully selecting an art style that aligns with your creative objectives, you can ensure that the animation complements the intended narrative and visual tone. Refining Visuals with Retexturing Midjourney's retexturing feature is a powerful tool for enhancing the visual appeal of your videos. This feature allows you to experiment with different styles and textures to refine the overall aesthetic without altering the core animation. For example: Lowering the stylized value (e.g., '-s20') can result in a more polished and cohesive appearance. Exploring various textures enables you to test artistic directions and discover unique visual combinations. By using this feature, you can fine-tune your video's aesthetic quality, making sure it aligns with your creative vision while maintaining consistency across frames. Midjourney Video Realistic Emotion & More Watch this video on YouTube. Explore further guides and articles from our vast library that you may find relevant to your interests in Midjourney video generation. Structuring Prompts for Motion Precision The structure and wording of your prompts are critical in controlling motion and behavior within your video. Specific keywords and the sequence of actions directly influence how animations unfold. For instance: A prompt like 'a child dances and drops flowers' will create a different animation flow compared to 'a child drops flowers and dances.' Using clear and precise descriptions ensures that the animation timeline aligns with your intended sequence of events. By refining your prompts, you can achieve greater control over the motion dynamics, allowing you to craft animations that are both logical and visually engaging. Adding Depth with Emotion Modifiers Emotion modifiers are essential for creating nuanced and realistic expressions in your videos. By incorporating phrases such as 'slightly amused' or 'deeply contemplative' into your prompts, you can add subtle emotional layers to your characters. These modifiers allow you to: Fine-tune the emotional tone to match the narrative. Enhance the realism and relatability of your animations. This approach not only improves the emotional impact of your videos but also ensures that the expressions resonate with your audience, making the animations more compelling and immersive. Exploring Style Reference Codes for Unique Visuals Midjourney supports the use of style reference codes, which can help you achieve distinctive visual effects. For example, a code like 'translucent x-ray magenta' can create an otherworldly aesthetic that sets your video apart. These codes enable you to: Push creative boundaries and experiment with unconventional styles. Produce visually striking and memorable animations. Incorporating style reference codes into your workflow allows you to explore new artistic possibilities and add a unique flair to your projects. Maintaining Thematic Consistency with Mood Boards Mood boards are an invaluable resource for making sure thematic consistency and inspiring creativity. They serve as a visual reference that helps guide your artistic decisions. For example: A 'cozy cottage' mood board can inspire warm, inviting landscapes and harmonious color palettes. Using a mood board ensures that your video maintains a cohesive style and tone throughout the animation process. By integrating mood boards into your planning, you can streamline your creative workflow and produce videos that are both visually and thematically consistent. Perfecting Temporal Sequencing and Refinement Temporal sequencing is key to creating animations that flow logically and cohesively. Using temporal cues such as 'then' or 'afterward' in your prompts helps establish a clear sequence of events. Additionally, iterative refinement is essential for achieving your desired outcome: Make incremental adjustments to your prompts to test variations and improve results. Refine the sequence and details to ensure the animation aligns with your vision. This process of continuous improvement allows you to fine-tune your animations, making sure they meet both technical and artistic expectations. Bringing Your Creative Vision to Life Mastering Midjourney's image-to-video feature requires a thoughtful balance of technical precision and artistic exploration. By focusing on key elements such as art style, retexturing, prompt optimization, emotion modifiers, and thematic consistency, you can create videos that are not only visually stunning but also emotionally resonant. Approach each project with a clear vision and a willingness to experiment, and you will unlock the full potential of this powerful tool to bring your creative ideas to life. Media Credit: Future Tech Pilot Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
Tom's Guide
a day ago
- Tom's Guide
With one prompt, I built an entire brand kit in an hour using Lovart
Many tools promise to unleash your creativity but then force you to wrestle with layers, templates and settings. As you drag things pixel by pixel and juggle Canva, Figma, Midjourney and ChatGPT you end up praying that your vision will survive the process. If you've ever tried to build a brand kit from scratch — the logo, the social banners, the promo video, the product page — you'll know how brutal things get without a designer. All too often you end up bouncing between five different apps and five YouTube tabs just to make something halfway usable. There has to be a better way. And I think I've found it. When I came across Lovart — an AI that claimed it could generate over 40 branded assets from a single prompt — I gave it the most honest test possible. No prep. No fancy prompts. No design background. Just a raw idea. The result? In less than one hour I had a complete brand kit — logo, landing page, product visuals, and a full-motion video — all export-ready and shockingly good. Lovart describes itself as an "AI Design Agent," not just a tool. You don't have to "create" everything — Lovart reads your idea and makes creative decisions on your behalf. Let me show you how it works. Here's what I typed: "A minimalist skincare brand inspired by ocean minerals, called NEU." Seconds later, I got: No file juggling. No bouncing between tools. Everything simply showed up in the same interface, fully editable and export-ready. The quality genuinely surprised me. This wasn't "AI slop". It looked like something a junior designer might produce after a few days of work. It was clean, professional, and actually usable. Here's what makes Lovart different from other AI design tools: it's not running one model. It coordinates multiple specialized AI systems and gets them to work together. Under the hood, it's using: The magic is in the orchestration. Each model contributes to a unified result that feels brand-consistent and intentional — not like random assets stitched together. You can edit anything: shorten the video, tweak fonts, change product names, adjust the colors. It's a truly plug-and-play design, but it delivers the polish you'd expect from paying an agency. What stood out most wasn't just the speed. It was how consistent Lovart felt across multiple tries. I tested it with lots of different brand concepts: a coffee shop, a tech startup, a fitness app. Every single time it delivered coherent, on-brand results without me having to babysit the process or write perfect prompts. It doesn't get tired. It doesn't get confused. It doesn't over-design or under-deliver. It just gets on with the job. It listens, executes, and adjusts — again and again and again, until it gets it right. It felt less like using software and more like working with someone who's patient, fast, and never runs out of ideas. As a creator, that felt safe – and honestly, kind of luxurious. Elena Rodriguez, Lovart's co-founder and COO, says that this human-like presence is intentional: I've used Canva, struggled with Figma, and spent hours wrestling with Photoshop. And Lovart required none of that background knowledge. The interface is refreshingly simple: there's a big text box where you describe your idea, and an infinite canvas where results appear. You can refine anything by typing natural language requests like "make the logo more playful" or "create a darker color palette." There are no layers to manage. No export settings to figure out. No subscription limits across different tools. Just tell Lovart what you want, and watch it materialize. For context, building the same brand kit manually would have taken me: That's a total of 8+ hours, plus frustration. With Lovart: 45 minutes, plus excitement about what else it could do. Lovart won't replace human designers at big agencies. But for creators, marketers, small business owners, and indie builders it's genuinely game-changing. Who this works best for: What you get with one subscription: Access to multiple premium AI models that would normally require separate subscriptions, plus the coordination layer that makes them work together. It's like hiring a creative team that actually listens and never misses a deadline. Lovart isn't magic. Here's what I noticed: If Canva is a toolkit, Lovart is a collaborator. If Midjourney is inspiration, Lovart is execution. For the first time, you can go from "I have an idea" to "it's ready to publish" without getting lost in the tools, tutorials, or technical complexity. Is it perfect? No. Is it useful enough to pay for? Absolutely. Especially if you value your time and sanity more than learning design software. Pricing: Lovart starts at $29/month for individual creators, with team plans available. Given that you'd normally pay that much just for Canva Pro, and this includes access to multiple premium AI models plus coordination, it's reasonable value. Try it yourself: Lovart is now publicly available at
Express Tribune
2 days ago
- Entertainment
- Express Tribune
AI-generated video clip goes viral as millions mistake it for real video game project
An AI-generated video clip has gone viral across social media, leading millions to believe it was a teaser for an upcoming video game. The five-second clip, shared by de5imulate on X on July 21, shows a first-person view of a character holding a sword and torch while approaching a gothic castle along a forest path. The post quickly gained attention, reaching 30 million impressions at the time of writing, with many users assuming it was footage from a new game in development. However, as the creator clarified in the replies, the clip was generated using the AI tool Midjourney and was labelled as 'concept art.' The original post however, did not disclose its AI origins, leading to confusion among viewers. Discussion around the clip has sparked debate within the game development community. Tim Soret, known for The Last Night, described it as an 'AI-invented visual style,' adding that 'everybody wants it' and that it would take 'years of work' to produce a real game with a similar appearance. Other developers have responded by sharing their ongoing projects, including Relics of the Oracle and Eclipsium, which have gained attention for their comparable visual styles while being actual game projects in progress. The viral spread of the AI-generated clip highlights ongoing debate between developers and players on the balance between new technology and traditional game development processes.
Barnama
2 days ago
- Business
- Barnama
FACIA Achieves 100 Pct Accuracy On Deepfake Detection Benchmark
BUSINESS KUALA LUMPUR, July 23 (Bernama) -- FACIA, a global leader in facial biometric technology, has announced that its deepfake detection system achieved 100 per cent accuracy on Meta's Deepfake Detection Challenge Dataset (DFDC), reinforcing its position in combatting synthetic media threats. In a statement, the company said its proprietary algorithm was tested on over 100,000 images and videos across multiple datasets, with an overall detection accuracy of 99.6 per cent. 'This is not just about setting a benchmark. Deepfakes are proliferating rapidly, and scalable detection systems are now critical for public agencies, social platforms, and financial services,' said FACIA Chief Technology Officer, Daniyal Assad Chughtai. Deepfake content tripled in 2023, with manipulated media widely used in fraud, disinformation, and non-consensual content, prompting increased concern and regulatory action globally. The DFDC dataset, considered a benchmark for deepfake testing, includes 2,100 altered videos using eight facial modification techniques. FACIA also tested its algorithm on an internal dataset of 3,430 artificial intelligence-generated images from tools such as Midjourney, Artbreeder, and achieving 89.01 per cent accuracy. Combined testing across four additional open-source datasets contributed to the system's total detection score, which FACIA said was relevant to industries such as finance, defence, and immigration. Unlike conventional frame-by-frame methods, FACIA's detection uses a multi-layered pipeline tailored for today's advanced deepfake techniques, with consistently low false acceptance and rejection rates. The technology's reliability is suited to high-assurance identity verification, offering real-time, scalable implementation for deepfake-vulnerable environments. FACIA plans to further enhance its system with multilingual spoof detection, broader dataset training, and improved application programming interface (API) support to facilitate integration with third-party platforms. The announcement comes amid growing scrutiny of synthetic media on major platforms such as Meta, TikTok, and X (formerly Twitter), which are under pressure to counter misinformation and manipulated content.
