AI video generation: text-to-video vs image-to-video

By Ali Ghafori · 3 min read

AI video generators can now produce short clips that would have needed a film crew, a location and a budget not long ago. But anyone who has tried them knows the results can also be wildly unpredictable: melting hands, objects that morph, cameras that drift randomly. The difference between frustrating and useful results is mostly technique. This guide covers how I approach AI video.

Two ways to generate: text-to-video and image-to-video

Text-to-video creates a clip from a written description alone. It's fast for exploring ideas, but you have limited control over exactly what the scene looks like.

Image-to-video starts from a still image you provide — a photo or an AI-generated image — and animates it. Because the first frame is fixed, you control the composition, characters, style and colors precisely, and the model only has to decide the motion.

For professional work I almost always use image-to-video. Getting a still image exactly right is much easier and cheaper than repeatedly generating video until everything lines up.

The image-first workflow

1. Plan the shot. Write down what the clip needs to show and how long it should be. Most tools generate around 5–10 seconds at a time.
2. Create the key frame. Generate or photograph the opening image. Spend your iterations here: composition, lighting and details.
3. Describe only the motion. The video prompt should focus on what moves and how the camera behaves, not repeat the whole image description.
4. Generate several versions and pick the best one. Results vary a lot between runs.
5. Edit and finish in a normal video editor: trim, grade, upscale and add sound.

Writing motion prompts

Good motion prompts are short, physical and specific. They usually describe two things: camera movement and subject movement.

• Camera terms that work well: slow push-in, pull back, pan left/right, tilt up, orbit around the subject, handheld, static locked-off shot, drone flyover, tracking shot following the subject.
• Subject motion: describe natural actions — "she turns her head toward the window and smiles", "steam rises from the coffee cup", "leaves blow across the street".
• Pacing words: slow, gentle, smooth, or fast and energetic.

Weak:   make it cinematic and amazing

Strong: slow push-in toward the woman at the window, she turns her
        head and smiles, rain running down the glass, soft movement

Keep the motion simple

The most reliable clips have one main movement. Asking a model for a character to run, jump, turn around and wave in five seconds usually produces distorted bodies. Complex action is better built from several short clips, each with one clear motion, cut together in the edit — exactly how real films are shot.

Things that are still difficult for many models: hands interacting with objects, readable text, fast complex motion, and keeping a character's face identical across separate clips. Plan around these weaknesses rather than fighting them.

Consistency across a sequence

• Generate all key frames with the same character description and style words, or with reference image features if your tool offers them.
• Use the last frame of one clip as the first frame of the next to continue a shot smoothly.
• Keep lighting and color consistent in your prompts, then unify everything with one grade in the editor.

Finishing AI clips like real footage

Raw AI clips rarely go straight to publish. Treat them as footage:

• Trim the start and end — artifacts often appear in the last second.
• Upscale if the output resolution is low, and consider frame interpolation for smoother motion.
• Color grade all clips together so they feel like one piece.
• Add sound design. Ambience, effects and music do a huge amount to make AI visuals feel real.
• Use cuts to hide weaknesses. Cutting away just before a clip starts to distort is a normal editing decision.

Use it responsibly

Don't create realistic videos of real people saying or doing things they didn't do, label AI-generated content where platforms require it, and check each tool's terms before using results commercially. Used honestly, AI video is a powerful addition to the toolkit — best for b-roll, concept visuals, backgrounds and creative shots that would be impractical to film.

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