How to pick the right AI image-to-video or text-to-video model
Models differ on resolution, max duration, person consistency, motion intensity, native audio, pricing, and training data. Most production pipelines run 2–3 models together — one for fast iteration, one as the reliable main render, and one as a fallback for difficult shots.
1. Define the actual job first
A 9:16 product feed ad, an old-photo portrait animation, a concept pre-vis, a cinematic long take, and a rhythm-driven dance clip each map to different models. Before scanning model cards, write down the platform, target duration, and the problem you want to solve in one sentence.
2. Check four hard specs
- Max resolution — determines whether you can ship directly to paid media (1080p or higher is safe).
- Max duration — 5s fits a hook, 10–15s fits a full story arc.
- Native audio — controls whether you need a second pass for voice or background sound.
- Controllability — locked subjects, video reference input, and fixed camera modes decide whether the model can move into production at scale.
3. Use a 3-step iteration loop to cut testing cost
- Run 480p / 5s drafts on a free model first to confirm composition, mood, and motion.
- Move the winning prompt to a 720p / 10s mid-tier model to verify detail and stability.
- Render the final 1080p+ pass on a flagship model. Avoid burning premium credits on early iteration.
This library currently covers 53 image and video models, all testable side-by-side inside one workspace. Start with one of the 53 free models, then decide if a paid tier is worth unlocking.