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Text-to-Video vs Image-to-Video: Which Should You Use?

Text to video vs image to video: the practical difference between generating from a prompt and animating a reference image — and when each one is the cheaper answer.

Updated September 3, 2026

Text-to-Video vs Image-to-Video: Which Should You Use?: what this guide covers

  • Text-to-video invents, image-to-video preserves
  • When image-to-video is clearly better
  • When text-to-video wins
  • Which models support image input
  • The hybrid that works best in practice

Text-to-video invents, image-to-video preserves

Text-to-video generates everything from the prompt: subject, setting, lighting, composition. Image-to-video takes composition and identity from a supplied still and invents only the motion. That single difference decides the workflow. If you know what the frame should look like, start from an image. If you are exploring what the frame could be, start from text.

When image-to-video is clearly better

Three cases. Brand work, where the product or palette must be recognisably correct. Character continuity across shots, where the same person needs to appear more than once. And anything with a real-world reference — a specific building, a specific chair. Text prompts drift on all three; a reference image pins them.

When text-to-video wins

Anything that does not exist yet. Abstract concepts, imagined environments, atmosphere plates, and the early exploratory phase where you do not know what you want the frame to be. Text-to-video is also faster to iterate when you are changing the idea rather than refining it.

Which models support image input

Most of the catalog does: Veo 3.1 and Veo 3.1 Fast, Seedance 2.0, Seedance 2.0 Fast, Seedance 2.0 Mini and Seedance 2.5, Hailuo 2.3 and Hailuo 2.3 Fast, PixVerse v6 and v5.6, Vidu Q3 Pro and Q3 Turbo, FLUX 3 Video, P-Video, Grok Imagine Video, LTX-2.5 Fast and RunwayML Gen-4.5. The pure text-to-video models are Wan 3.0, Wan 3.0 Prime, HappyHorse 1.0 and HappyHorse 1.1.

The hybrid that works best in practice

Generate stills cheaply, pick the strongest frame, then animate it. Seedance 2.0 accepts up to 9 reference images and Seedance 2.5 up to 30, so you can feed several candidate frames and let the model hold consistency across the shot. This costs more per clip but dramatically fewer wasted generations.

Models mentioned in this guide

Veo 3.1

Veo 3.1

Google · 85 credits · 8s max

Seedance 2.0

Seedance 2.0

ByteDance · 72 credits · 12s max

Hailuo 2.3

Hailuo 2.3

MiniMax · 52 credits · 10s max

PixVerse v6

PixVerse v6

PixVerse · 45 credits · 15s max

Vidu Q3 Pro

Vidu Q3 Pro

Vidu · 68 credits · 16s max

Text-to-Video vs Image-to-Video: Which Should You Use? FAQ

Is image-to-video higher quality than text-to-video?

Not inherently — it is more controlled. You trade surprise for predictability. For brand and product work that is almost always the right trade.

Can I use both at once?

Yes. Seedance 2.0 and Seedance 2.5 accept a text prompt alongside image, video and audio references, so you describe the motion while the references pin the look.

Which models are text-only?

Wan 3.0, Wan 3.0 Prime, HappyHorse 1.0 and HappyHorse 1.1 accept text only in our catalog.

More guides

How to Choose an AI Video ModelHow to Write Prompts for AI Video ModelsAI Video Resolution and Duration: What Each Model Actually SupportsAI Video Models With Native Audio: The Complete ListHow to Compare AI Video Models Properly