Plan a short story before generating footage

An AI reel works better as a small story than as a collection of unrelated impressive clips. Write one sentence describing what changes between the beginning and the end. For this guide, the example is a traveller discovering a quiet cafe after walking through rain. The creative brief is an illustration for practice, not a tested campaign or a promise of viral reach.
Choose Luma or Runway for your first attempt rather than paying to generate every shot in both. Check the current model, permitted inputs, export options, and credit cost in your account. This guide avoids tying the workflow to an old model name because those controls change. Keep your first project short enough that you can afford to discard an unusable generation.

An illustrative three-shot storyboard

Shot one establishes the problem: a traveller pauses under an awning while rain falls beyond it. Shot two shows the choice: the traveller notices a warm cafe window and turns toward the entrance. Shot three resolves it: a cup rests on a table beside the window, with rain visible outside. Each shot has one job, which makes the edit easier to understand without narration.
Sketch the framing before writing motion instructions. Use a wider street view for the first shot, a medium view for the turn, and a close view of the cup for the ending. Repeating a colour, such as the traveller's dark green jacket, can help connect the first two images. The final close-up avoids requiring the model to preserve a face through every shot.

Prepare a usable starting image

For an image-to-video workflow, inspect the still image first. A malformed hand, an unclear doorway, or overlapping objects can become more distracting when animated. Crop it to the intended framing and keep the main subject away from edges that could be lost in a vertical export. Use images you have permission to upload and transform.
In Runway's image-to-video workflow, the image establishes appearance and the text can focus on motion. Luma's documentation also encourages clear natural-language descriptions. The practical implication is to stop restating every visual detail when the starting image already contains it. Spend the instruction on the action that the viewer must understand.

Shot one motion prompt (copy-ready)

AI Prompt Box

The traveller remains under the awning and looks toward the street. Rain falls steadily beyond the shelter. The camera slowly moves forward toward the traveller. Keep the motion restrained and the scene continuous.

Output Example — Prompt 1

Author upload required: add a real output for Prompt 1, describe what is visible, and record the tool and version used.

Tool: Author must supply · Version: Author must supply

Placeholder — no real output has been uploaded and documented yet.

Shot two motion prompt (copy-ready)

AI Prompt Box

The traveller gently turns toward the warm cafe window. The camera stays in place while the head and shoulders turn. Rain continues in the background. The movement is unhurried.

Output Example — Prompt 2

Author upload required: add a real output for Prompt 2, describe what is visible, and record the tool and version used.

Tool: Author must supply · Version: Author must supply

Placeholder — no real output has been uploaded and documented yet.

Shot three motion prompt (copy-ready)

AI Prompt Box

A cup rests on the cafe table beside the window. A faint curl of steam rises from the cup while rain runs down the glass in the background. The camera stays still. Keep the cup and table in place throughout the shot.
Use this close-up as the payoff to the traveller entering the cafe. Keep the warm interior colours consistent with the previous shot. If the steam deforms the cup or obscures the scene, simplify the prompt to rain moving outside a stationary cup. Add any title or closing message in your editor rather than asking the video model to generate readable text.

Output Example — Prompt 3

Author upload required: add a real output for Prompt 3, describe what is visible, and record the tool and version used.

Tool: Author must supply · Version: Author must supply

Placeholder — no real output has been uploaded and documented yet.

Review a generation before spending more credits

Watch the whole clip, then examine the first, middle, and last frames. Does the face change, does the jacket become a different colour, or does the doorway move? Pick the most important defect and revise only the instruction related to it. If the camera moves too much, request a stationary camera. If the subject performs several actions, reduce the instruction to a single turn.
Keep a small record with the starting-image filename, exact instruction, model selected, and reason for accepting or rejecting the clip. Two clips that look similar may differ in whether the last frame is usable for a cut. Compare them for the story you planned, not just for sharpness. The review process is more useful than adding cinematic or ultra-realistic to every sentence.

Troubleshoot one issue at a time

If a face or outfit changes, start from a clearer reference image and reduce the action to one small movement. If the camera drifts, remove competing camera instructions and describe a stationary view. If the scene flickers, try a shorter usable portion of the clip before spending credits on another generation. These are revision strategies, not guaranteed fixes.
For each attempt, note the defect, the single change you made, and whether the resulting clip supports the storyboard. Keep an accepted clip unchanged while you work on the next shot. This prevents an endless cycle of regenerating every scene because one transition is weak.

Build the edit around the story beats

Place the three shots on a timeline and trim away unstable beginnings or endings. Cut when the action becomes clear, rather than keeping the full generated duration automatically. Check that the direction of travel remains understandable between shots. If the traveller looks right in one shot and suddenly appears to enter from the opposite side, a close-up of the window can provide a simpler bridge.
Add only the narration needed to explain the scene. Record your own voice or use a service with appropriate permissions. Choose music you are allowed to publish, then set its level below speech. Captions should remain readable on a phone and should not cover the main action. Watch once with sound off to check whether the visual story still makes sense.

Export and publication checks

Preview the finished vertical crop inside the destination app before publishing. Look for cropped faces, subtitles near controls, sudden changes in brightness, and frames that expose generation errors. Save both the editing project and exported file so you can correct a caption without regenerating the footage.
A generated clip does not guarantee monetization or reach. Review the destination platform's current rules for synthetic media and your service's usage terms. Do not create extra accounts to bypass credit limits. If a plan is too costly for repeated trials, simplify the storyboard or combine one AI shot with your own footage rather than assuming unlimited retries.

Official workflow references

Runway image-to-video prompting guide explains how the input image and motion description work together. Luma best practices covers natural-language scene instructions. Use these references to adapt the exercise to the controls currently available in your account. The storyboard and review checklist above are editorial examples, not benchmark results.