Kling
Video generationEvaluate supported video options against the motion, performance, and reference requirements of your shots.
Generation inside the production
AI video models.
With a shot plan.
Develop the script, references, and direction. Generate footage, then review every shot in the context of your film.
The model makes the clip.
Your project gives it context.
A script-to-video production needs a story plan, visual references, footage, and review. Generation sits inside that flow.
- Script
Define the scene
Story, cast, action, and context.
- Shot plan
Set the direction
Framing, movement, and references.
- Generation
Create the footage
Choose the available quality settings.
- Review
Judge the cut
Inspect clips together and refine.
Image and video engines.
One production context.
Generation options span image and video workflows. Confirm current model access, versions, settings, and usage terms for your production.
Seedance
Video generationTest representative sequences with your shot plan and visual references before choosing production settings.
Veo
Video generationCheck current access and supported inputs for the video workflow your team wants to evaluate.
Nano Banana
Image generation & editingDevelop visual references and image assets as part of the project’s preproduction workflow.
Choose by the shot.
Judge in the cut.
Use these AI-generated examples to decide what to review in a production pilot.
Does the action read clearly?
Use a representative action or camera move. Review the full take for readable motion and the intended framing.
- Subject movement
- Camera direction
- Usable start and end frames
Does it belong in the same scene?
Compare adjacent shots against the same character, location, and prop references. Review the sequence in context.
- Character appearance
- Setting and props
- Continuity across the cut
Can your team use the result?
Review the clip length, audio needs, output, and editing requirements. Include retakes and review effort in the pilot.
- Clip and audio requirements
- Output specifications
- Review and revision effort
One shot brief. A shared scorecard.
Use the same scene intent and acceptance criteria across available generation options. Record supported inputs, the selected version, and settings alongside each result.
| Requirement | Hold constant | Review evidence |
|---|---|---|
| Shot & movement | The same action, framing, and duration target | Readable motion and usable start/end frames |
| Cast & setting | The same named visual references | Identity, props, lighting, and adjacent-shot continuity |
| Dialogue & sound | The same spoken line and sound requirements | Performance, synchronization, and usable audio |
| Delivery | The same output and finishing specification | Resolution, length, editability, and delivery acceptance |
| Production effort | The same acceptance rubric and review process | Usable takes, retakes, review time, and total cost |
- Model questions
Plan the test.
Know what to review.
Generation models create images or video within a broader project. In Induce, teams develop the script, shot plan, and visual references, then generate clips and review the assembled cut. Model choice is one part of that production workflow.
Generation options include model families such as Kling, Seedance, Veo, and Nano Banana across image and video workflows. Available versions, quality settings, and access vary by workflow. Confirm the current options for your production during a pilot.
No model choice guarantees continuity. Use character, location, and prop references, inspect generated shots, and review them together in the cut. Evaluate the settings against your own script and acceptance criteria.
Test representative shots with the same brief and references. Compare usable takes, motion, dialogue, continuity, review effort, and the full production cost. Confirm supported inputs, output formats, and usage terms for the selected workflow.