Short answer. AIGC video production is the process of using generative AI to create or transform video inside a broader creative-production workflow. A typical project starts with a brief, concept, script and storyboard; creates visual references; generates shots using text-to-video or image-to-video models; produces or adapts voice and audio; edits the best outputs; adds music, sound, graphics and color; runs human quality and brand review; and exports platform-specific and localized versions. Professional AIGC video is therefore a production process, not a single prompt.
What does AIGC mean in video production?
AIGC means AI-generated content. In video production, generative models can create moving images, still images, backgrounds, avatars, voice, music, effects or variations. Some workflows begin from text prompts, while others use reference images, existing footage or scripts.
The term can describe everything from a five-second generated clip to a complete commercial. For business buyers, it is useful to separate AI-generated asset creation from AIGC video production. Production includes the decisions and finishing work that turn generated assets into something ready to publish.
How does a creative brief become a script?
The brief defines the communication problem. Who is the audience? What should they learn or feel? What action should they take? Where will the content run? What does the brand need to protect?
The script turns that objective into a sequence of messages and moments. A strong AIGC script also respects the technology. It may avoid overly complex interactions that are difficult to generate consistently and instead use shots where AI can add real visual value.
Why are storyboards and styleframes important?
Generative systems produce many possible visual answers. Storyboards reduce that uncertainty by defining what each shot needs to accomplish. Styleframes go further by locking the intended appearance before motion generation starts.
Character appearance and wardrobe.
Product shape and branding.
Color palette and lighting.
Camera angle and lens language.
Environment and set design.
Typography and graphic style.
These references become a visual contract between the creative team and client. They also make regeneration more efficient because the team is adjusting motion rather than re-deciding the entire art direction for every shot.
What is text-to-video?
Text-to-video generates motion primarily from a written description. It is useful for ideation, atmospheric scenes, transitions and visual concepts where strict identity control is not the main requirement.
The challenge is variability. Small prompt changes can produce different framing, characters or details, making text-to-video powerful for exploration but sometimes harder for branded product or recurring-character work.
What is image-to-video?
Image-to-video starts from a visual reference and animates it. That makes it useful when the first frame, product, character or overall composition needs to remain controlled.
Adobe's Firefly Video Model supports text-based and image-driven generative video workflows and is integrated into a broader multimodal creative environment. Adobe Firefly Video Model
Professional teams often create a strong still image first, approve it, then animate it. This two-step process can improve consistency because the design is locked before motion is introduced.
How is character consistency maintained?
Character consistency is one of the most difficult AIGC production problems. A face can change subtly between shots, hair or wardrobe can drift and body proportions may vary.
Create approved character reference images.
Use the same visual vocabulary across prompts.
Use identity/reference controls where available.
Generate multiple takes and select compatible shots.
Retouch or composite inconsistent details in post.
Keep a reusable asset library for recurring campaigns.
The same principle applies to products. If exact product design matters, the team may combine real product renders or photography with generated environments rather than asking the model to recreate the product from memory.
How are AI voices used?
AI voice tools can generate narration, clone an approved voice or create localized versions. The technical speed is useful, but human review remains important for pronunciation, emotion, pacing and consent.
Voice is also a legal and reputational issue. Brands should document whose voice is being used, whether cloning is authorized and how voice assets can be reused.
What happens in post-production?
Post-production is where generated fragments become a film. Editors select the best takes, build the story, adjust timing, add transitions, VFX, graphics, color, sound design, music, subtitles and legal or brand elements.
Tool's published AI-commercial making-of shows a multidisciplinary team including editors, CGI/VFX artists, AI specialists, music and sound, illustrating why finished AI video remains a production craft. Tool making-of
Why is human review important?
Generative models can create plausible-looking mistakes. Text may be distorted, product features may change, a scene may imply something the brand did not intend, or a voice may pronounce a name incorrectly.
Visual artifact review.
Character and product continuity review.
Brand and tone review.
Factual and claims review.
Rights and source-asset review.
Localization and pronunciation review.
Technical delivery review.
Human review is especially important for high-visibility brand content because the cost of publishing an incorrect or off-brand video is much higher than the cost of one more revision.
How is one video delivered across channels?
The final master is rarely the final deliverable. Teams often need vertical, square and horizontal versions, short cutdowns, subtitles and market-specific variants.
| Deliverable | Typical adaptation |
|---|---|
| 16:9 master | Website, YouTube, presentations |
| 9:16 vertical | TikTok, Reels, Shorts |
| 1:1 / 4:5 | Social feeds |
| 6-15 second cutdowns | Paid ads and bumpers |
| Localized versions | Voice, subtitles and on-screen text |
| Silent/autoplay version | Captions and visual-first edit |
A strong production workflow plans these versions at storyboard stage. If the hero composition only works in widescreen, the vertical version may feel like a crop rather than an intentional piece of content.
Key takeaways
- Start with the audience, message and business goal.
- Write the script before generating random visuals.
- Use storyboards and styleframes to define a consistent visual world.
- Choose text-to-video, image-to-video, avatars or hybrid production based on the scene.
- Use reference assets to keep characters and products recognizable.
- Treat voice, music and sound as part of the storytelling.
- Edit and composite generated footage like any other production material.
- Run human brand, factual and legal review.
- Create local-language and platform-specific versions at the end.
Sources and further reading
- Runway.
- Adobe Firefly Enterprise.
- Adobe Firefly Video Model.
- Tool - The Making of Forever Is Made Now.
- HeyGen Enterprise.
- Synthesia Enterprise.
- U.S. Copyright Office - Copyright and Artificial Intelligence.
- C2PA.