Tag: <span>AI image generator</span>

Luma AI, from Luma Labs, is one of the more established names in AI image and video generation — it's been iterating on its models (Photon for images, Ray for video, UNI-1 for multimodal reasoning) longer than most of the newer aggregator platforms that just wrap other companies' models. A frame from my video for this article (tap to watch) That longer track record matters in a practical way: Luma has had more generations of its own models to work out the specific failure modes — warped hands, inconsistent character appearance across a clip, unnatural camera drift — that newer platforms wrapping someone else's model are still catching up on. It's worth weighing that maturity against the higher price rather than assuming a cheaper aggregator running the same underlying tech will behave identically. I ran a handful of test clips through Luma's Ray model myself before writing this, mainly to see whether the camera-movement realism people talk about actually held up compared to the other video tools I regularly use. What it's actually good at Ray, Luma's video model, is known for realistic motion and camera movement rather than the slightly floaty, uncanny motion you see on some competing tools — that's the main reason

Why This AI Photo Editing Trick Is Going Viral AI photo editing is becoming extremely popular online. Today, tools like Google Gemini make complex edits much easier for everyday users. Because of this, many people are now adding missing friends or family members into group photos with AI. A frame from my video for this article (tap to watch) Unlike traditional editing methods, this process does not require Photoshop skills. All you need are two photos and a simple prompt. From there, Gemini handles the difficult editing automatically. In most cases, the final image looks highly realistic. Lighting, shadows, colors, and camera angles are adjusted automatically by the AI. As a result, the added person blends naturally into the scene. Across social media platforms like Instagram, TikTok, and YouTube, this trend continues to grow rapidly. Many creators use it for viral content, while families often use it to recreate memories or restore old photos. I actually tried this myself with an old group photo from a trip a friend missed, using a separate solo photo of them taken around the same time, mainly to see whether Gemini could really match the outdoor lighting convincingly. Tips for Better Results Getting realistic results depends heavily on the quality of your

OpenArt is a multi-model creative hub: rather than shipping one house AI model, it gives you a single account and interface across a wide range of image and video engines — currently including Seedance 2.0/2.5, Kling 3.0, Sora 2, Google Veo 3, MiniMax Hailuo, and HappyHorse for video, and GPT Image 2, Nano Banana Pro, Seedream 5.0, Grok Imagine, and Qwen Image 3 for images. That lineup shifts as providers release new versions, so treat any specific model list — including this one — as a snapshot, not a permanent fact. I ran the same product-ad brief through three of the video models side by side — the exact kind of comparison OpenArt is built to make easy — to see whether switching models inside one interface actually saves the time it promises, or just moves the friction somewhere else. What you can actually do with it Image generation across multiple diffusion and transformer-based models, with text-to-image and image-to-image workflows. Video generation up to 15 seconds at 4K, using whichever underlying model you select. Editing tools — inpainting, background removal/swap, and upscaling to 4K. Character Builder — trains a consistent character you can reuse across multiple generations, useful for series content or a recurring brand mascot.