GPT Image 2 to AI Video Workflow: Source Images, Storyboards, Prompts

Image-to-video quality often depends on what happens before the video prompt. If the source image is vague, crowded, or inconsistent, the video model has to guess the subject, scene, and motion. GPT Image 2 can act as the planning layer: create a strong first frame, build character or product references, and test the sequence as storyboard panels before generating motion.

This workflow is useful for product launch videos, short brand clips, app demos, character scenes, and social ads.

How this workflow was evaluated

We built this workflow around the failure cases that usually waste video credits: weak first frames, crowded scenes, inconsistent products, unclear character identity, and video prompts that try to fix static image problems. The steps below separate image decisions from motion decisions so each revision has one clear job.

The workflow in one sentence

Use GPT Image 2 to create the static decisions first, then use your video prompt to describe motion.

Static decisions include:

• Subject identity
• Product shape
• Camera angle
• Scene layout
• Lighting style
• Color palette
• First frame and end frame

Motion decisions include:

• Camera movement
• Subject action
• Timing
• Direction of movement
• Environmental motion
• What must stay unchanged

Step 1: create a stable first frame

A strong first frame should be clear even before it moves.

Create a cinematic first frame for an AI video. A young product designer stands at a desk in a bright studio, looking at a wall of product sketches. Wide shot, clear subject silhouette, soft daylight, realistic proportions, stable camera framing, no motion blur, no text, no extra people.

Why this works:

• The subject is easy to identify.
• The scene has a clear direction.
• The frame avoids text and motion blur.
• The camera has room to move.

Avoid first frames that are already chaotic. A crowded source image usually becomes a crowded video.

Step 2: lock the character or product

If the same person, character, or product appears across multiple shots, create a reference asset.

Character prompt:

Create a character reference sheet for the same young product designer. Show front view, side view, and three-quarter view. Keep the same face, hairstyle, outfit, body proportions, and color palette across all views. Clean neutral background, realistic editorial style, no text labels.

Product prompt:

Create a product reference sheet for a compact silver smart speaker. Show front view, side view, rear view, and a close-up of the mesh texture. Keep the same shape, materials, scale, button placement, and color across all views. Clean white background, realistic studio lighting, no text.

This step is especially useful before product videos, character scenes, or multi-shot ads.

Step 3: build a storyboard

Storyboards help you test the sequence before generating motion.

Create a four-panel storyboard for a product launch video. Panel 1: close-up of the smart speaker on a desk. Panel 2: a designer reaches toward it. Panel 3: the speaker lights up with a soft ring. Panel 4: final hero shot with negative space for a title. Keep the product design consistent across all panels. Clean cinematic style, no text.

Use storyboards when:

• The video has multiple actions.
• You need a product reveal.
• The scene has a beginning and ending.
• You want to compare camera angles.
• You are building an ad or launch sequence.

Step 4: create an end frame when needed

Some videos need a clear destination. An end frame is useful when the camera moves toward a final composition or when the subject should end in a specific pose.

Create the final frame for the same product launch video. The silver smart speaker sits centered on a clean desk, glowing softly, with the designer blurred in the background. Premium studio lighting, calm modern workspace, strong negative space above the product, no text.

If the end frame is not important, do not force it. Use it when the final composition matters.

Step 5: write the video prompt from the image

Once the source image carries the static details, the video prompt can stay focused.

Animate this image with a slow camera push-in. The designer turns slightly toward the wall of sketches. Paper edges move gently in the studio air. The lighting stays soft and natural. Keep the same character identity, outfit, room layout, product design, and camera direction.

Notice what the prompt does not do: it does not redescribe every object in the image. The image already handles those details.

Step 6: review the result with a simple checklist

Most weak videos are not fixed by writing a longer video prompt. They are fixed by improving the source image.

What not to fix in the video prompt

Do not use the video prompt to repair problems that should have been solved in the image.

The video prompt should describe motion. The source image should carry identity, layout, product details, lighting, and style.

Prompt pack for common AI video use cases

Product reveal

First frame: Create a clean cinematic first frame of a premium smartwatch on a dark glass surface. The watch is centered, angled slightly toward camera, with soft blue rim lighting and a subtle reflection. No text, no hands, no extra products.

Video motion: Animate this image with a slow push-in and a gentle light sweep across the watch face. Keep the watch shape, strap, reflections, and dark glass surface unchanged.

App demo source frame

First frame: Create a realistic laptop screen showing an AI image generator dashboard. The interface has a prompt input, image preview grid, model selector, and generate button. Clean SaaS design, readable labels, no fake brand logos.

Video motion: Animate with a subtle camera slide from left to right. The dashboard remains sharp, and the preview images softly fade in. Keep the UI layout consistent.

Character short

First frame: Create a cinematic medium shot of a traveler standing at a train platform during soft evening light. Clear face, consistent outfit, stable framing, realistic proportions, no text.

Video motion: Animate with a slow handheld camera drift. The traveler looks toward the arriving train, coat fabric moves slightly, and platform lights flicker softly. Preserve the same face and outfit.

Where to go next

After the workflow is clear, move through the tools in this order:

1. Create the source frame in the GPT Image 2 generator.
2. Borrow image prompt ideas from the GPT Image 2 prompt gallery.
3. Use the GPT Image 2 prompt guide when a source frame keeps drifting.
4. Continue into the AI video workflow when the image is ready.

This keeps the process simple: image first, motion second, editing last.

Final advice

If the output matters, do not start with video. Start with the image. A clear source frame gives the video model a stronger anchor, reduces randomness, and makes each revision easier to diagnose.