AI video generation in 2026 is producing outputs that are good enough for real commercial use: social media content, product demos, brand films, explainer videos, and short-form creative work. But the gap between a usable clip and a failed generation almost always comes down to two decisions: which model you chose, and how you wrote the prompt.
This guide covers both. You will learn when to use text-to-video versus image-to-video, which model to reach for in each situation, how to write prompts that translate to good footage, and what post-processing tools are available after generation.
The Two Fundamental Approaches
Before picking a model, decide which workflow fits your project.
Text-to-Video
You describe a scene in text, and the model builds it from scratch. This is great for concept visualization, atmospheric footage, abstract sequences, and situations where you do not have a reference image. The tradeoff is less control over exact content: the model interprets your description and the result may differ from your mental image.
Image-to-Video
You upload a still image, and the model animates it. This approach is far more consistent. The model has a visual anchor to work from, so the character, object, or environment in the final video closely matches your starting image. If you have an image, always use it. The quality difference over text-to-video is significant.
The practical rule: generate or find your hero image first, then animate it. This two-step process consistently produces better results than going straight to text-to-video.
Which AI Video Model Should You Use?
Seedance 2
Seedance 2 is the current leader for most tasks and the best default choice. It handles a wide range of styles (realistic, cinematic, animated), responds well to detailed prompts, and is particularly powerful in Elements mode.
Elements mode is how most creators work today. Instead of describing a scene in text, you upload up to 9 reference images, 3 video clips, and 3 audio clips, and Seedance 2 constructs new video from those references. Want a product video? Upload the product photos, a background image, and a mood reference clip. The model synthesizes them into a new scene. This is a fundamentally different and more controllable workflow than pure text-to-video.
Kling 3.0
Kling 3.0 is the best choice for realistic human movement. If your video includes people walking, dancing, gesturing, or performing physical actions, Kling handles anatomy and motion more accurately than other models. It also supports multi-shot generation, where a single prompt produces multiple connected scenes with continuity between them. The O3 variant includes built-in audio generation.
Hailuo 2.3
Hailuo 2.3 consistently surprises with its image-to-video quality, especially for artistic subjects, logo animations, and stylized content. If you are animating a graphic element, a product logo, or an illustrative image, Hailuo 2.3 is worth testing alongside Seedance 2.
Veo 3.1
Veo 3.1 is the only model in this tier that natively generates non-English spoken dialogue. If your video needs characters to speak Hebrew, Arabic, French, Spanish, or any other language, Veo 3.1 is the model to use. For all other use cases, Seedance 2 or Kling 3.0 will usually produce higher visual quality, but Veo 3.1 is non-negotiable for localized spoken content.
Sora 2
Sora 2 is a strong secondary choice for cinematic landscapes, sweeping aerial footage, and epic environmental scenes. Use it when the visual scope of the shot is the primary goal.
How to Write a Video Prompt That Works
The Core Structure
[Scene description] + [Subject and action] + [Camera style] + [Lighting] + [Atmosphere]
For example: "A barista pours steamed milk into a dark coffee in a warm coffee shop, close-up shot with a shallow depth of field, soft morning light from a nearby window, calm and inviting atmosphere."
Every element contributes something specific. Remove the lighting description and the model makes a choice you may not want. Remove the camera style and you lose control of framing.
Camera Language That Actually Works
Being specific about camera movement and framing dramatically improves consistency.
Framing: close-up, medium shot, wide shot, extreme wide shot (establishing), over-the-shoulder Movement: slow pan, dolly in, dolly out, aerial/drone shot, POV (first person), static locked-off camera, handheld shake Lens feel: shallow depth of field (blurred background), deep focus (everything sharp), anamorphic widescreen
Lighting Matters More Than Most People Expect
The lighting description is one of the most powerful controls in a video prompt. Use it every time.
Useful lighting descriptions: golden hour sunlight, overcast diffused light, dramatic side lighting, neon night lighting, soft studio box light, firelight, candlelight, blue hour dusk, harsh midday sun.
Aspect Ratio and Length
Set the aspect ratio before generating based on where the video will be published:
- 16:9: YouTube, desktop web
- 9:16: Instagram Reels, TikTok, Stories, YouTube Shorts
- 1:1: Instagram feed square
For clip length, 4 to 6 seconds is the sweet spot for image-to-video. Most models generate at this length by default, and shorter clips are easier to control for motion quality. Build longer sequences by connecting multiple clips in post.
Handling Dialogue and Spoken Language
Most AI video models generate silent footage. Dialogue in other languages adds another layer of complexity.
For English dialogue: Kling 3.0 (O3) and Veo 3.1 both handle English spoken content.
For non-English dialogue: Use Veo 3.1. Write the target speech in quotes within your English prompt. For example: "A woman in a busy market looks at the camera and says in Hebrew: 'welcome to our store, we have the best prices in the city.'" Veo 3.1 will generate footage where the character speaks those words in that language.
The workaround for all other models: Generate the video with placeholder or silent dialogue, then apply Lipsync in Kolbo.AI. Record or generate the audio separately using ElevenLabs TTS or a voice clone, then use the Lipsync tool to sync the audio to the character's mouth movements in the video.
Common Mistakes That Waste Generations
Writing prompts in a language other than English. All major video models perform significantly better with English prompts, even for scenarios that will be set in other countries or languages. Describe the scene in English.
Short, vague prompts. "A woman walking" gives the model too little to work with. "A woman in her 30s with dark curly hair walks confidently through a busy Tel Aviv market, medium shot, handheld camera feel, warm golden afternoon light" gives it a complete picture.
Skipping image-to-video when you have an asset. If you already have a product shot, a portrait, or a scene image, using it as your input will almost always produce better results than describing the same thing in text.
Expecting a perfect first output. Budget for two to four generations per final clip. This is normal.
Post-Processing in Kolbo.AI
Once you have a clip you are happy with, several tools are available to take it further without leaving the platform.
4K Upscale: Increases the resolution of your video while preserving detail. Useful for large-screen display or professional delivery.
Background Remove: Isolates the subject of the video from the background, enabling compositing onto a new scene.
Reframe: Changes the aspect ratio of an existing video, intelligently following the subject as it repositions the frame.
Lipsync: Syncs any audio track to the mouth movements of a character in the video. This is how you add real voice to AI-generated footage.
Audio and Music: Attach a music track from the Stock Library or your own generated Suno track directly to the video within the platform.
Ready to generate your first clip? Start at https://app.kolbo.ai with a reference image you already have and animate it with Seedance 2 Elements.
