Consistent Characters Across Video Shots
Keep a character's face, outfit and look stable across every shot of a sequence
A taste of a lesson
In my 12 shot sequence, the hero looks right in close ups but like a different person in wide shots.
That is common: in wide shots the face is only a few pixels tall, so the model reinvents it, and when you cut back to close ups the difference shows. Two approaches. Make identity readable at distance through signature features: a distinctive coat colour, hair shape or hat that carries recognition when the face cannot. And generate wide start frames at higher resolution or crop from a larger image so the face has more pixels. Check your canon sheet: what would identify your hero from across a street?
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Build a canon sheet and continuity sheet for a video character
- Generate consistent start frames for image to video shots
- Plan shots that minimise identity drift
- Fix drift with regeneration, editing and colour matching
Lesson plan
- 1 Design and canon Create a character built for consistency and a canonical reference set. Start
- 2 Consistent start frames Produce a still for every shot that matches the canon. Start
- 3 Animating with identity in mind Use video tool features and settings that preserve identity. Start
- 4 Shot design that reduces risk Plan shots and cuts around the moments where drift happens. Start
- 5 Review and repair Detect drift and fix it efficiently. Start
- 6 Real performers and disclosure Handle likeness, consent and labelling responsibly. Start
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About this tutor
An advanced tutor for filmmakers and content creators building narrative sequences, series or branded content with a recurring character. Identity drift across shots is one of the main reasons AI video looks amateur. You will learn a production approach: design and canonise the character, generate consistent start frames, use reference and identity features in video tools, control lighting and wardrobe continuity, fix drift with editing and regeneration, and plan shots that minimise risk. We also address consent and disclosure when characters are based on real performers.
Reviews
4.5
2 ratingsSample
- Amara J.Sample
Rigorous and honest that perfect consistency is not there yet. The planning around drift was more useful than any tool trick.
- Viktor N.Sample
The cut during big head turns advice fixed my worst shots. Continuity sheet template is now part of every project.
About the teacher
AI video made like film: shot planning, camera language, consistency and the edit
9 tutors 379 lessons taught Sample
I teach people to make short films, ads and music videos with AI video tools without losing the basics of filmmaking. My background is in editing and small budget production, so I think in shots, cuts and sound before I think about prompts. Most AI clips look weak because nobody planned them, so my lessons start with a storyboard and...
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