Input: approved script and presenter reference
Output: a short talking-head explainer
Aspect: 9:16 for social; 16:9 for courses
Build log
1. Cut the script
I write one claim, one reason, and one next step. Pauses mark where the viewer can catch up.
2. Lock the presenter
One face, clothing, background, and light. Mouth shape is checked at the first word, middle sentence, and last word.
3. Test motion cheaply
Agnes Video at 2 credits/second is enough to test head and hand rhythm. A 5-second probe is 10 credits.
4. Add audio carefully
Use your external editor for recorded voiceover, or Kling with native audio at 49 credits/second when 5 or 10 seconds fits.
Complete execution record
Task boundary and source gate
Treat AI talking head video generator as a deliverable, not a definition. The job receives approved script and presenter reference and owes a short talking-head explainer in 9:16 for social; 16:9 for courses. Write the rejection reason first, then turn it into the first hard constraint.
Require a character sheet, prop state, location notes, color grade, time of day, sound intention, and shot order. Do not let a strong style erase story time, character state, or the audience's understanding of who did what.
The imgmov route
Treat Canvas as the continuity ledger. Each node stores reference, prompt, camera, duration, and dependency. Generate the missing bridge only after stills and story beats are approved.
Keep platform requirements outside the model prompt. The prompt can describe a scene; a named checklist records the crop, claim, consent, and console check that make it deliverable.
Lock the variables that cannot drift
Lock face, costume, props, grade, lens height, location, story time, and dialogue line. Continuity beats novelty.
Put the locked fields at the top of the prompt, not at the end: Use one approved reference and short sentences; test motion at 10 credits on Agnes Video. If native audio is required, Kling v3 Omni costs 49 credits/second with audio and snaps to 5 or 10 seconds. Save that prompt with the reference, ratio, and model so the next run starts from a decision instead of a guess.
Step-by-step build path
1) Cut the script: I write one claim, one reason, and one next step. Pauses mark where the viewer can catch up. Leave one checkable artifact from this step; do not start the next until it exists. 2) Lock the presenter: One face, clothing, background, and light. Mouth shape is checked at the first word, middle sentence, and last word. Leave one checkable artifact from this step; do not start the next until it exists. 3) Test motion cheaply: Agnes Video at 2 credits/second is enough to test head and hand rhythm. A 5-second probe is 10 credits. Leave one checkable artifact from this step; do not start the next until it exists. 4) Add audio carefully: Use your external editor for recorded voiceover, or Kling with native audio at 49 credits/second when 5 or 10 seconds fits. Leave one checkable artifact from this step; do not start the next until it exists.
Change one named variable per rerun: prompt, reference, camera, duration, model, ratio, or export crop. If two variables change together, a better output cannot be reused because nobody knows which fix worked.
Review gates and evidence
A viewer should order the shots without help, recognize the same character, and see no prop teleport between frames.
Keep source, approved wording, rejected version, correction, credit cost, and final crop next to the asset. The record exists so the next reviewer can reproduce the decision without a chat thread.
Failure diagnosis and retry ladder
Repair the reference before rewriting the prompt. If a transition fails, insert a short still instead of paying for a longer guessing shot.
Do not upgrade on hope. A 5-second Agnes Video probe is 10 credits. If the concept passes, Seedance 2.5 costs 90 credits at 480p or 195 at 720p for 5 seconds; Kling is 195 without audio or 245 with audio. Veo enters only when a 4/6/8-second cinematic bucket is genuinely worth 80/125/165 credits. Prove hook, subject, and rhythm first, then pay to clean up motion that already worked.
Versioning and handoff
Hand off Canvas, reference IDs, prompt history, first/last frames, caption track, and the approved cut.
The folder is boring on purpose: source, approved reference, generation settings, caption file, platform cuts, QA screenshots, and one correction line. A reusable asset is boring in the right way.
Why this is not a generic answer
The imgmov advantage is the chain: Asset Library preserves the subject reference, Canvas fixes shot order and first/last frames, the workspace routes Agnes to Seedance, Kling, or Veo only after proof, and your external editor adds captions and CTA without regenerating the media.
Do not let a strong style erase story time, character state, or the audience's understanding of who did what. If the request only asks what ai talking head video generator means, a search page is faster. This page is useful when someone must deliver a short talking-head explainer under real constraints.
Frequently asked questions
Does it need lip sync?
Not always. A still frame with captions can work for short knowledge clips.
The workflow is specific about its stopping point: it starts with approved script and presenter reference and stops at a short talking-head explainer. In imgmov, upload the source, lock it as a reference, set 9:16 for social; 16:9 for courses, run one proof, and save the passing settings. If a reviewer cannot tell which version is approved, the workflow has failed even when the media looks good.
How much is native audio?
Kling v3 Omni is 49 credits/second with audio and 39 credits/second without.
Do not upgrade on hope. A 5-second Agnes Video probe is 10 credits. If the concept passes, Seedance 2.5 costs 90 credits at 480p or 195 at 720p for 5 seconds; Kling is 195 without audio or 245 with audio. Veo enters only when a 4/6/8-second cinematic bucket is genuinely worth 80/125/165 credits. Prove hook, subject, and rhythm first, then pay to clean up motion that already worked.
What is the cheapest test?
10 credits for 5 seconds on Agnes Video.
The check is not “does it look AI-nice?” It is: A viewer should order the shots without help, recognize the same character, and see no prop teleport between frames. Then the source, approved copy, rejected version, correction, and final crop stay in the same handoff folder.
How long should a talking head be?
5-10 seconds per claim. Longer claims should be separate shots.
Repair the reference before rewriting the prompt. If a transition fails, insert a short still instead of paying for a longer guessing shot. Change one named variable, keep the old version, and record the credit cost. If the same failure repeats, fix the reference or scope rather than asking the prompt for forgiveness.
Why does the face drift?
Fast motion and changing light. Keep one reference and slow the camera.
The imgmov advantage is the chain: Asset Library preserves the subject reference, Canvas fixes shot order and first/last frames, the workspace routes Agnes to Seedance, Kling, or Veo only after proof, and your external editor adds captions and CTA without regenerating the media. The handoff is reusable only when the source, reference ID, prompt, model, cost, rejection reason, and approved cut are linked. That chain is what makes the next ai talking head video generator task faster.