Type a scene. Hit generate. Watch it become a cinematic video clip in under two minutes. Powered by Kling 2.6, Veo 3.1, Wan 2.5, and Grok Imagine — the world's best AI video models, all in one place. Text-to-video. Image-to-video. Up to 1080p. Instant MP4.
No other AI video tool in 2026 gives you this many models under a single login. Each one has a distinct strength — pick the right tool for the job, not just the only tool you have access to.
The gold standard for cinematic AI video. Exceptional character consistency, photorealistic motion, and prompt adherence. Preferred by professional filmmakers and brand studios.
Google's flagship video model — trained on the world's largest multimodal dataset. Stunning dynamic range, natural physics simulation, and cinematic framing that rivals professional production.
The speed-optimised version of Veo 3.1. Same Google DeepMind architecture, faster generation, lower credit cost. Ideal for rapid iteration and content pipelines where volume matters.
The turbo-speed variant of Kling's acclaimed architecture. Generates in roughly half the time of 2.6 Pro with minimal quality loss — perfect for creators who need volume without sacrificing visual identity.
Alibaba's open-architecture video model — the most accessible entry point to AI video. Produces surprisingly detailed results with rich colour grading. The default model for free-tier users and high-volume pipelines.
The only model in the lineup that includes AI-generated audio. Built on xAI's multimodal architecture, Grok Imagine generates visuals and a synchronised ambient audio track simultaneously — no separate audio workflow needed.
Describe the video you want in plain language. Be specific about lighting, motion, environment, mood, and camera movement. The more cinematic your language, the more cinematic the output. Use our built-in prompt suggestions if you need a starting point.
Select from 6 AI video models. Choose 5 or 10 seconds. Pick your aspect ratio — 16:9 for YouTube, 9:16 for Reels, 1:1 for Instagram. Select resolution. Enable AI audio if using Grok Imagine. Each model has a distinct visual character — try a few.
Hit Generate. The job runs in the background — typically 30–120 seconds depending on model and duration. You can stay on the page to watch the status card update, or close the tab and come back. The job runs to completion regardless.
Your video is ready. Play it back in the browser. Download directly as MP4. Full commercial rights included — no watermarks, no attribution required. Drop it straight into your video editor, social scheduler, or ad platform.
Copy any of these directly into the generator. Each is engineered for its recommended model to maximise visual quality — the right prompt with the wrong model still underdelivers.
"Slow cinematic aerial descent into a neon-lit Tokyo alley at midnight, rain-soaked ground reflecting pink and purple signs, pedestrians with translucent umbrellas, ultra-detailed 4K"Generate this video →
"Wide angle shot of an active volcano erupting at night, massive lava rivers flowing down dark mountainside against pitch-black sky, slow motion, dramatic lighting, photorealistic"Generate this video →
"Cinematic 360-degree rotation of a luxury perfume bottle on a black reflective surface, smoke wisps curling around the base, dramatic single spotlight, ultra-detailed product photography"Generate this video →
"Drone flying low over a bioluminescent ocean bay at night, every wave crashing in electric blue light, Milky Way reflected in the water surface, ethereal and cinematic"Generate this video →
"Abstract fluid simulation of deep indigo and gold ink dissolving in slow motion, swirling vortex patterns forming and dissolving, dark background, macro lens, hypnotic atmosphere"Generate this video →
"Epic rooftop time-lapse from golden hour to midnight, clouds racing in fast motion, city lights switching on across the skyline, traffic trails below, 4K cinematic"Generate this video →
AI video isn't a future trend in 2026 — it's current production reality for these industries. Here's how each one applies it.
The algorithm rewards freshness. With AI video, you can generate 10 unique short-form clips in the time it would take to shoot one. Text-to-video lets you visualise concepts, trends, and hooks that would be impossible to film — and 9:16 aspect ratio output is ready to upload directly.
Upload your product image and describe the scene — the AI animates it into a cinematic product video with motion, lighting, and atmosphere. What used to cost $3,000–$15,000 per product video now costs credits. Full commercial rights, no watermarks.
Every documentary-style YouTube video needs B-roll. AI video gives you unlimited B-roll on demand — aerial drone shots, nature sequences, abstract visualisations, sci-fi environments — synced to your narrative without ever leaving your desk.
Generate 5 variations of the same ad concept in 10 minutes. Test a product floating in water vs. surrounded by light vs. in a dramatic environment. The creative iteration speed of AI video has fundamentally changed how performance marketing teams work.
Generate cinematic concept trailers for pitching publishers, create atmospheric mood boards for art direction, prototype cutscene sequences before committing to expensive animation — all from text prompts that describe your game's visual language.
Replace static PowerPoint slides with animated video sequences. Generate explainer videos for onboarding, product demos, and company announcements — professional-quality output that communicates motion, energy, and credibility without a video production budget.
Getting the aspect ratio wrong means cropped content, lower reach, and wasted generation credits. Here's the definitive 2026 guide.
The classic cinematic format. Best for documentary, product showcase, and any content where horizontal composition matters. YouTube's native format.
The dominant format for social media in 2026. Full-screen immersive experience on mobile. Required for Reels and TikTok organic reach.
Versatile cross-platform format. Performs well in both mobile and desktop feeds. Ideal when you need one video to work across multiple platforms.
Every video prompt you've been saving in your notes because "you don't have the equipment" — you can generate them right now. Alien landscapes. Underwater product shots. Slow-motion storm sequences. They're all 30–120 seconds away.
▶Generate Your First AI Video Free50 credits on signup · 6 models · Up to 1080p→We are two years into what will eventually be recognised as the most significant shift in video production since the transition from film to digital. AI video generation has gone from a parlour trick that produced six-second clips with melting fingers to a production-grade tool being used by brand studios, independent filmmakers, and YouTube creators with millions of subscribers. This guide is your comprehensive map to what's actually possible in 2026, what the limitations still are, and how to get the most out of AI video creation for your specific use case.
The models powering AI video generation today — Veo 3.1, Kling 2.6, Wan 2.5, and others — belong to a class called diffusion transformer video models. Understanding the basics of how they work isn't just academic: it directly affects how you write prompts and what results you can realistically expect.
The core process works like this: the model is trained on massive datasets of video-caption pairs. During training, it learns the statistical relationships between written descriptions and visual motion patterns. When you type "slow aerial drone descending into a foggy forest at dawn," the model generates a video frame-by-frame, with each frame conditioned on both your text prompt and the previous frames, maintaining coherence across the temporal dimension — which is what makes it video rather than just a sequence of images.
The temporal coherence problem — keeping the same object looking the same across 150+ frames — is what took years to solve and is still the primary quality differentiator between models. Kling 2.6 Pro's most celebrated feature is its temporal consistency for characters and objects: a bottle that appears in frame one still looks like the same bottle in frame 150. Veo 3.1's strength is different — it excels at physical world simulation, meaning liquids behave like liquids, smoke disperses correctly, and fabric has appropriate weight and movement. These are distinct capabilities, which is why choosing the right model matters so much.
Scenith's AI video creator supports both text-to-video and image-to-video generation. These aren't just two paths to the same destination — they solve fundamentally different creative problems.
Text-to-video is the creative mode. You describe a scene from scratch — environment, lighting, camera movement, subject, action, mood — and the model builds it entirely from language. This is where you access scenes that literally cannot exist: alien planets, underwater cities, microscopic worlds, environments that would cost millions to build practically. The creative ceiling is your prompt quality, and the prompt is everything.
Image-to-video is the production mode. You upload an existing image — your product, a generated image, a photograph — and the model animates it. The visual identity is anchored by the image, and your prompt describes the motion. This is the mode that's transforming e-commerce: a product photographer shoots still images, the AI animates them into video with atmospheric motion, and the brand has a video ad without ever hiring a video production crew. The quality ceiling in this mode is your source image quality — start with a high-resolution, well-lit image.
One powerful workflow that's emerged in 2026 is the generate-then-animate pipeline: generate an image with Scenith's AI image creator, then feed that image into the video generator for image-to-video. This gives you complete control over the visual style of the starting frame before committing to video generation — a single-platform workflow that previously required three different tools and three different accounts.
If there is one skill that separates creators who get stunning results from AI video from those who get mediocre output, it is prompt craft. AI video prompting is a distinct discipline from image prompting, and both are distinct from language model prompting. The unique dimension of video prompting is motion — you are not just describing what something looks like, you are describing how it moves through time.
Camera language is the most underused tool in video prompting.Cinematographers have a vocabulary for motion that AI video models have been trained to understand. Use it. "Slow push-in on a product" tells the model to generate a gradual zoom that creates intimacy. "Sweeping crane shot" generates ascending, widening views. "Tight tracking shot" generates motion that follows a subject closely. "Slow rack focus from foreground to background" generates a depth shift. These terms directly influence the camera movement the model generates.
Physics and material language improves realism. Models like Veo 3.1 are trained to understand physical properties — but you have to invoke them. "Water cascading over polished marble" gets a better result than "water on stone" because the material specificity triggers more accurate physics simulation. "Smoke spiraling slowly upward in still air" is more specific than "smoke" and produces more realistic particle behaviour.
Temporal markers set the motion pace. "Slow motion," "time-lapse," "real-time," and "fast cut" are temporal instructions that directly affect how the model generates motion. A volcano eruption in "slow motion dramatic" generates very differently from the same scene in "real-time." For product videos, "gentle drift" or "subtle float" creates the kind of understated elegance that high-end brands pay production companies thousands to achieve.
Lighting is half the mood. "Golden hour" vs "overcast diffused light" vs "dramatic single spotlight from above" vs "bioluminescent glow" — each of these produces a fundamentally different emotional register even with identical subject matter. When you're generating product videos, the lighting prompt is often more important than the description of the product itself. "Luxury perfume bottle, dramatic underlit spotlight, dark smoke atmosphere" will outperform "a perfume bottle" every time.
Understanding the technical output specifications of AI video generation helps you plan your production workflow properly — and prevents unpleasant surprises when you go to publish.
Scenith's video generator produces MP4 files encoded in H.264, which is the universal codec accepted by every platform from YouTube to Instagram to LinkedIn. You don't need to transcode anything. 480p output is approximately 5–15MB for a 5-second clip. 720p runs 15–35MB. 1080p clips are typically 30–80MB depending on scene complexity (high-motion scenes like storms or waterfalls encode at higher bitrates than simple product shots).
For social media, 480p or 720p is often sufficient — especially for Reels and TikTok, where the platform re-encodes everything anyway and the UX is heavily mobile-first. For YouTube or website hero video where people are watching on large screens, 1080p is the correct choice. For client deliverables where quality is scrutinised, always generate at the highest available resolution for your chosen model.
Duration choice — 5 seconds vs 10 seconds — depends on the use case, not personal preference. 5-second clips are more controllable: the model maintains temporal coherence more easily, motion doesn't have time to drift, and the output is more predictable. 10-second clips give you more storytelling arc but have higher variance — the second half of the video sometimes deviates from the first in ways that 5-second clips don't. For product videos where consistency matters, start with 5 seconds. For narrative content where you need a story beat, use 10.
The most transformative application of AI video for individual creators in 2026 is in the YouTube ecosystem — specifically, the combination of AI video for B-roll and visual illustration with human voiceover or AI narration. This model is producing some of the highest-performing channels in the educational, documentary, and explainer space.
The workflow looks like this: you write a script, record your narration (or generate it with AI voice), and then generate AI video clips to match each section of the script. Instead of finding stock footage that's almost what you need, you generate exactly what you need. The Amazon rainforest with specific lighting. The inside of a black hole. The ancient Roman forum at sunset. Concepts that stock footage libraries simply don't contain.
For faceless channels — one of the highest-ROI content strategies in 2026 for creators who don't want to appear on camera — AI video essentially means the entire production process can happen on a single platform. Script → AI voice → AI video → edit → publish. No camera. No location. No crew. No studio. The economics of this have created an entirely new category of solo creator who produces content that competes visually with channels that have dedicated production teams.
As AI video generation becomes mainstream production practice, the ethical framework around it has matured considerably. Here's the current state of responsible use.
YouTube's 2025 policy update requires disclosure for "significantly altered or synthetic realistic-looking content." In practice, this means adding an "AI-generated content" label in your description for videos where AI video forms a significant portion of the visual content. This is both the ethically correct approach and, counterintuitively, often a brand positive — audiences respond well to creators who are transparent about their tools, and the "made with AI" label has lost its stigma almost entirely among audiences who are themselves using AI tools daily.
Instagram, TikTok, and LinkedIn all have similar but less prescriptive disclosure expectations. The general principle: if a viewer would be meaningfully deceived by not knowing the content is AI-generated, disclose. If it's clearly stylised, abstract, or fantastical — lava flows on alien planets, microscopic cellular worlds — disclosure is courteous but not typically required.
For commercial advertising, disclosure requirements vary significantly by jurisdiction and platform. If you're running AI-generated video as paid advertising, consult your platform's current advertising policies, as these have been updated multiple times throughout 2025–2026 and continue to evolve.
Every credible guide to AI video generation should acknowledge its genuine limitations — not to diminish the technology, but to set accurate expectations that lead to better creative decisions.
Consistent characters across multiple clips: Current AI video models generate clips independently. If you generate 10 clips for a narrative video, the "main character" will look different in each clip unless you use image-to-video with the same source image. Building a narrative with consistent characters across a long video remains challenging and requires significant prompt engineering.
Complex precise actions: Models handle broad motion (flying, running, waves) much better than precise actions (someone typing on a specific keyboard, hands operating a specific tool). Fine motor actions often degrade in quality.
Text in video: AI video models still struggle to generate legible on-screen text reliably. If your video requires text overlays (titles, captions, labels), add these in your video editor post-generation rather than attempting to prompt for them.
Brand-specific assets: You cannot reliably include specific logos, branded elements, or proprietary visual identities in AI-generated video. Brand-consistent generation requires image-to-video with carefully crafted source images.
The credit-based pricing model that Scenith uses reflects the compute cost of running these very large video generation models — which is significant. A single 10-second 1080p Veo 3.1 generation consumes considerable GPU time on a data centre cluster. Understanding the credit economy helps you plan your production pipeline efficiently.
The 50 free credits you get on signup with Scenith are enough for approximately one free video with the Wan 2.5 model (46 credits for a 5-second clip). This is intentional — it gives you a genuine, complete experience of the tool before any payment decision. The Creator Lite plan at $9/month gives you 300 credits, covering approximately 4–6 clips with premium models or more with budget models.
For high-volume production pipelines — content agencies, social media teams generating dozens of clips per week — the cost-per-video of AI generation is still dramatically lower than any alternative production method. A single day of professional video production in a mid-size city costs more than a year of premium Scenith credits. The economic argument for AI video at scale is essentially unassailable in 2026.
You get 50 free credits on signup with no credit card required. That's enough for one complete AI video with the Wan 2.5 model. Free accounts get one lifetime video with premium models. For ongoing video creation, Creator Lite ($9/month) gives you 300 credits and access to all 6 models including Kling 2.6 Pro and Veo 3.1.
Generation time depends on the model and duration. Budget models like Wan 2.5 and Grok Imagine typically complete in 30–60 seconds for a 5-second clip. Premium models like Veo 3.1 and Kling 2.6 Pro take 60–120 seconds. 10-second clips take approximately 1.5–2× longer than 5-second clips. All jobs run in the background — you can close the browser and return.
Kling 2.6 Pro from Kuaishou excels at temporal consistency — objects and characters look the same across all frames — and prompt adherence. It's the best choice for product videos, brand content, and any use case where what you describe needs to precisely match what's generated. Veo 3.1 from Google DeepMind excels at physical world simulation — realistic fluid dynamics, atmospheric effects, natural motion. It's the best choice for nature scenes, environment shots, and cinematic drama.
Yes. Scenith supports image-to-video generation. Upload any PNG or JPG image as the starting frame, write a prompt describing the motion you want, and the AI animates it. This is particularly powerful for product photos, generated images from Scenith's AI image creator, and any use case where you need the video to start from a specific visual.
Yes. Grok Imagine is currently the only model in Scenith's lineup that generates AI audio alongside the video — ambient sounds, atmospheric audio, and tonal elements that match the visual content. The audio is not user-controllable (you can't specify exact sounds) but it consistently produces relevant atmospheric audio. All other models generate silent video, which you can then score with music or AI narration separately.
Scenith generates video in 16:9 (widescreen — YouTube, desktop), 9:16 (vertical — Reels, TikTok, Shorts), and 1:1 (square — Instagram, Twitter). Choose 9:16 for any short-form social content where mobile full-screen experience matters. Choose 16:9 for YouTube, website hero video, or any content intended for large screens. Choose 1:1 for cross-platform efficiency when you need one video to work across multiple feeds.
Yes. All videos generated on Scenith include full commercial rights. You can use them in paid social ads (Meta, Google, TikTok), YouTube ads, website video, client deliverables, and any other commercial context. No attribution required, no per-use licensing fees. Platform-specific disclosure requirements for AI content in paid advertising vary — check your specific platform's current ad policies.
No. Scenith does not add watermarks to any generated video content. The MP4 you download is clean and production-ready. This applies to both free and paid accounts.
The most effective AI video prompts include: (1) a clear subject and action, (2) camera movement (slow push-in, aerial drone, tracking shot), (3) lighting description (golden hour, dramatic single spotlight, bioluminescent glow), (4) physical/material specifics (polished marble, silk fabric, smoke dissolving), and (5) a tempo/mood word (slow motion, dramatic, ethereal, cinematic). Use the prompt gallery on this page as starting points and modify from there.
Yes. You can submit multiple video generation jobs sequentially. Each job is tracked independently with its own status card. Once a job completes and you download the video, you can generate another. There's no enforced waiting period between generations.
Every prompt you've had in your head that you couldn't produce because you didn't have the equipment, the budget, or the crew — generate it right now. Free. No card. No download. No excuses.
▶Create Your First AI Video FreeScenith · 50 credits on signup · Instant MP4 download→