Quick Answer: To create videos with AI that hold together, work like a film crew. Write a script with timings, turn it into a shot list, generate one still image per shot with an image model, then animate each still with image-to-video so the look stays fixed. Pick the video model by the length of your longest shot: Veo 3.1 renders 4, 6 or 8 seconds per clip, Kling 3.0 renders 3 to 15 seconds, and Seedance 2.5 goes up to 30 seconds. Add voiceover and music, cut everything together in a normal editor, and turn on the AI disclosure on YouTube and TikTok whenever the result looks real.
An AI video is built shot by shot: every panel gets a framing, a camera move and a duration.
The Workflow at a Glance
Every reliable AI video goes through the same six stages.
The full pipeline: lock the look on cheap stills first, then animate, add audio, edit and label.
| Stage | Output | What it protects you from |
|---|---|---|
| Narration or dialogue with rough timings | Pretty clips that say nothing |
| One row per shot: framing, action, duration | Generating clips you cannot cut together |
| One still image per shot | Paying for video before the look is right |
| 4 to 30 second clips per shot | Wasted generations on vague prompts |
| Voiceover, music, sound effects | A silent or mismatched final cut |
| A finished file plus correct labels | Platform penalties and confused viewers |
Step 1: Write the Script First
AI video models generate shots. The story has to exist before you open any generator.
Write the narration or dialogue as plain text, then read it out loud with a timer. Natural speech runs at a fairly steady pace, so the timer tells you how long the final video will be and how many shots you need. A 60-second script usually breaks into 8 to 15 shots, depending on how fast you want the cutting to feel.
Two habits make scripts easier to shoot. Keep one idea per sentence, since each sentence becomes a candidate shot. And write what the viewer sees in brackets: "[Close-up: hands pouring coffee] Every morning starts the same way." That turns into your shot list almost for free. Draft with any language model if you like, then edit by hand.
Step 2: Turn the Script into a Shot List
A shot list is a table. Each row has a shot number, the line of script it covers, the framing (wide, medium, close-up), what moves (camera and subject), and a target duration.
The duration column decides your model. Video models have hard clip-length limits, so a 12-second shot needs either a longer model or stitching.
Name a camera move for each shot too (slow push in, static, handheld follow, orbit). Video models respond well to cinematography language.
Step 3: Build the Storyboard with an Image Model
A storyboard created by AI is a set of still frames, one per row of your shot list, generated with an image model. This is the cheapest place to make creative decisions. Images take seconds and cost a fraction of a video clip, so iterate here until every frame looks right.
Treat each storyboard prompt as a full description of the frame:
- Subject and action ("a woman in a yellow raincoat checks her phone")
- Setting and time of day ("a wet city street at dusk, neon reflections")
- Framing and lens ("medium shot, shallow depth of field")
- Style ("photorealistic, muted teal and orange grade" or "flat 2D illustration")
Then play the frames in order like a slideshow while reading the script aloud. A sequence that works as stills is ready for video.
Keeping characters consistent
Character drift, where your protagonist's face, hair or clothes change between shots, is the most visible flaw in AI video. The fix is the same everywhere: anchor every shot to the same reference images.
- Create a character sheet first. Generate one clean image of each character: neutral pose, plain background, clear face, full outfit. Save it.
- Feed that sheet into every storyboard frame using your image model's reference or editing feature, and describe only the new pose, angle and setting.
- Reuse identical wording for the character's description in every prompt. Changing "red scarf" to "crimson scarf" invites the model to change the scarf.
- Carry the references into video. Several video models accept reference images directly. Google's documentation for Veo 3.1 allows up to three reference images to preserve a subject's appearance, and Kling's O3 models accept image references as well.
Products, logos and locations work the same way.
Step 4: Choose Text-to-Video or Image-to-Video
You have two ways to make each clip.
Text to video AI generates the clip from a prompt alone. It is fast and good for exploration, establishing shots, abstract b-roll, and anything where exact appearance does not matter.
Image to video AI starts from an image (usually your storyboard frame) and animates it. The model keeps the composition, the character, and the color palette of the frame, and your prompt describes only the motion. For any project with recurring characters or brand assets, image-to-video should be the default.
Some models also support first and last frame generation: you supply the opening frame and the closing frame, and the model fills in the motion between them. Veo 3.1 and Gemini Omni Flash both document this. It is the most controllable way to create a transition or a precise movement, such as a product rotating from front view to side view.
In the motion prompt, describe one main action and one camera move: "She turns toward the camera and smiles, slow push in."
Decide per shot: image-to-video whenever appearance matters, first and last frame for precise moves.
Step 5: Pick a Video Model by Clip Length and Resolution
Model choice is mostly a question of how long each shot needs to be and what resolution you deliver at. The figures below come from each provider's documentation or a hosting platform's model listing, checked on October 24, 2026. Limits change often, so confirm on the provider's own page before you plan a shoot around them.
Maximum seconds per single generation, from the verified figures in the table below.
| Model | Clip length per generation | Resolution | Notes |
|---|---|---|---|
Veo 3.1 (Google) | 4, 6 or 8 seconds | 720p, 1080p, 4K (1080p and 4K require 8 s) | Native audio, 16:9 or 9:16, up to 3 reference images, extension in 7 s steps |
Gemini Omni Flash (Google) | Short clips, extendable in 10 s steps to 40 s total | 360p drafts, 720p, upscaled 1080p and 4K | Native audio, multi-turn editing of a generated clip |
Kling 3.0 | 3 to 15 seconds | Standard 720p, Pro 1080p, 4K tier | Optional audio |
Seedance 2.5 (ByteDance) | Up to 30 seconds | Varies by platform | Text, image and video inputs, audio references |
Runway Gen-4.5 | Check current settings | Check current settings | Text-to-video and image-to-video |
A few details worth knowing:
- Veo 3.1 extension. Google's Gemini API documentation describes extending a Veo clip by 7 seconds at a time, up to 20 times, for output up to 148 seconds. Extension runs at 720p only. Note also that Google shut down the Veo 3.1 Preview models in the Gemini API on October 22, 2026, and points developers to Gemini Omni Flash or the generally available Veo models on its enterprise platform. Developers should check which endpoint they call.
- Sora 2 is no longer an option. OpenAI announced in March 2026 that it would discontinue the Sora app, and its developer documentation states that the Sora 2 models and Videos API shut down on September 24, 2026. Older tutorials that recommend Sora 2 are out of date.
- Long shots favor long models. A 15 or 30 second ceiling saves stitching on long shots, and every stitch is a chance for continuity to break.
Generate drafts at the lowest resolution or draft tier, budget three or four takes per important shot (artifacts and odd hands still happen with every model), name files by shot and take (s04_c.mp4), then re-render or upscale only the winners.
Step 6: Add Voiceover, Music and Sound
Voiceover. Record your own voice if you can, using the script from Step 1. If you use an AI voice, generate the narration before you edit, because its exact timing determines how long each shot stays on screen.
Native model audio. Veo 3.1, Gemini Omni Flash and several other models generate sound with the clip, including ambience and speech. This is useful for on-camera dialogue and environmental sound. For narration-led videos, it is usually cleaner to mute the generated audio and lay your own voiceover on top.
Music and effects. Use licensed or royalty-free music under the voice, plus simple sound effects to ground the footage.
Voices of real people. Do not clone or imitate a real person's voice without their permission. Both YouTube and TikTok treat synthetic speech attributed to a real person as content that requires disclosure, and impersonation can get content removed.
Step 7: Edit and Assemble the Final Cut
Bring everything into a standard video editor.
- Lay the voiceover track down first. It is your timeline's backbone.
- Drop clips onto the voiceover in shot-list order. Trim each clip to the line it covers. Most AI clips have a weak first and last half second, so trim those generously.
- Cut on motion. Cutting while a subject is moving hides small continuity differences between clips far better than cutting on a still frame.
- Match color. Clips from different generations, and especially from different models, rarely match exactly. A light, consistent color grade over the whole timeline ties them together.
- Add captions. Captions serve viewers who watch muted and improve accessibility.
- Export at your delivery format. 16:9 for YouTube and websites, 9:16 for Shorts, Reels and TikTok. Generate clips in the delivery aspect ratio from the start.
Step 8: Label AI Content Correctly Before You Publish
Disclosure rules apply when AI output looks real. Both major video platforms have written policies, and both can detect some AI content automatically.
YouTube. According to YouTube's Help Center, creators must disclose realistic content that makes a real person appear to say or do something they did not do, alters footage of a real event or place, generates a realistic scene that did not happen, or creates music that is the main focus of the video. You disclose it in YouTube Studio by answering "Yes" to the AI use question under Attributes when uploading. Clearly unrealistic or animated content, and AI used only for scripts, titles, thumbnails or captions, does not require disclosure. YouTube may also apply the label automatically when a file carries C2PA metadata or its systems detect AI generation, and it says creators who repeatedly fail to disclose can face penalties including content removal or suspension from the YouTube Partner Program. YouTube states that disclosure on its own does not limit a video's reach or monetization eligibility.
TikTok. TikTok's Help Center says it requires creators to label all AI-generated content that contains realistic images, audio or video, and encourages labeling of anything completely generated or significantly edited by AI. Creators can apply the "creator labeled as AI-generated" label when posting. TikTok may also auto-label uploads that carry Content Credentials, and an auto label cannot be removed from the post.
Content Credentials are built on an open provenance standard from the Coalition for Content Provenance and Authenticity (C2PA). Some generators embed this metadata, and Google says Veo outputs carry SynthID watermarks. Assume the platform can recognize AI footage after editing, and label it yourself.
FAQ
Can I create a full video with AI from a single prompt?
Some tools will generate a short clip from one prompt, but a coherent video longer than one shot still needs a script, a shot list and an edit. Current models generate clips of a few seconds up to about 30 seconds per generation, so anything longer is assembled from multiple clips.
What is the best AI storyboard generator?
Any strong image model can produce storyboards. The deciding feature is reference image support, because it lets you keep the same character and setting across every frame. Test a model by generating the same character in three different shots and checking whether it still looks like one person.
Should I use text-to-video or image-to-video?
Use image-to-video for anything with recurring characters, products or brand elements, because it locks the look of your storyboard frame. Use text-to-video for exploration, abstract b-roll and establishing shots where exact appearance does not matter.
How long can an AI-generated video clip be?
It depends on the model. Per the providers' documentation and platform listings, Veo 3.1 generates 4, 6 or 8 seconds per clip (extendable at 720p), Kling 3.0 generates 3 to 15 seconds, and Seedance 2.5 generates up to 30 seconds. Check the provider's current page, because these limits change frequently.
Do I have to label AI videos on YouTube and TikTok?
Yes, when the content looks realistic. YouTube requires disclosure for realistic altered or synthetic content through the AI use setting in YouTube Studio, and TikTok requires a label on AI-generated content with realistic images, audio or video. Both platforms can also apply labels automatically.