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Start Frame Approval Checklist: Lock Consistency Before Motion

Apr 6, 2026

Start Frame Approval Checklist: Lock Consistency Before Motion

If you want faster approvals and fewer “why did the product change?” surprises, treat the start frame approval as a formal gate.

A start frame is the single still image you lock before generating motion. Once it’s approved, motion control iterations should change motion—not composition, product identity, or brand cues.

If you’re using Zorq AI, you can start from a content direction library (and if you have no source assets, generate a starting image on the site first). Then run motion control with Kling v3 Motion Control, Kling v2.6 Motion Control, or Nano Banana 2 depending on what you’re making.

Internal links (for reference):

Start Frame Approval Checklist (cover)
Approve the still first, then iterate motion without reopening the concept.

What “start frame approval” actually means

Start frame approval is not “this looks cool.” It’s a sign-off that the still frame is acceptable on:

  • Composition (where the hero subject sits, crop, negative space)
  • Identity consistency (product shape, logo, key features)
  • Brand boundaries (palette, lighting mood, background rules)
  • Message readiness (is the claim implied by the visual actually allowed?)

If you skip this, every motion draft becomes a debate about the entire concept.

The checklist (copy/paste)

Use this as a hard gate. If any “Fail” item triggers, do not generate motion yet.

1) Composition & framing

  • [ ] Hero subject is centered/placed according to the brief (Pass/Fail)
  • [ ] Product silhouette is readable at 25% size (Pass/Fail)
  • [ ] Safe space exists for hook text / logo / CTA (Pass/Fail)
  • [ ] Crop matches target aspect ratio (9:16 / 1:1 / 16:9) (Pass/Fail)

2) Brand fit

  • [ ] Palette matches brand boundaries (Pass/Fail)
  • [ ] Lighting mood matches the direction (e.g., clean studio vs cinematic) (Pass/Fail)
  • [ ] Background follows rules (allowed textures, no clutter) (Pass/Fail)
  • [ ] No banned elements (competitor marks, confusing objects) (Pass/Fail)

3) Identity stability (the “no morph” gate)

  • [ ] Logo is correct and legible (Pass/Fail)
  • [ ] Key product features are present and not distorted (Pass/Fail)
  • [ ] The hero subject is not “almost right” (Pass/Fail)
  • [ ] If a person is present: face/hand realism is acceptable (Pass/Fail)

4) Motion readiness

  • [ ] There is a clear single camera move intended (push-in / orbit / tilt) (Pass/Fail)
  • [ ] The frame has depth cues that support that move (Pass/Fail)
  • [ ] No tiny high-frequency details that will likely shimmer/flicker (Pass/Fail)

5) Reject criteria (write these before motion)

Write 3 reject conditions that reviewers can use immediately:

  • Reject if: __________________________
  • Reject if: __________________________
  • Reject if: __________________________

Examples you can steal:

  • Reject if the logo warps or becomes unreadable.
  • Reject if the product shape changes between frames.
  • Reject if the background “crawls” or flickers.

A lightweight approval workflow (15 minutes)

Start frame approval gate workflow (process)
Checklist gate → approved start frame artifacts → motion control iterations.

Keep it boring and repeatable.

  1. Generate 2–3 start frames that match one direction.
  2. Pick the top candidate.
  3. Run the checklist above in a shared doc.
  4. Capture “Approved start frame” artifacts:
    • the image file
    • the checklist with Pass/Fail marks
    • the chosen camera move
    • the 3 reject criteria

Once you have this, motion iteration becomes faster because feedback is anchored.

How to use motion control after the start frame is approved

Rules that keep iterations clean:

  • Change one variable per version (only motion angle, only speed, only duration)
  • Keep the start frame fixed (don’t regenerate it mid-iteration)
  • Keep a short version log (v1/v2/v3) with one sentence per change

This is where motion control shines: you can test controlled motion variants without re-opening the entire concept.

Common mistakes (and the fix)

With start frame approval gate vs without (comparison)
A gate reduces drift and makes feedback about motion—not the entire concept.

Mistake 1: approving a “pretty” frame that isn’t readable

Fix: enforce the 25% size readability check.

Mistake 2: changing prompts while reviewing motion

Fix: freeze the start frame and only adjust motion.

Mistake 3: no reject criteria

Fix: write 3 reject conditions before any motion draft exists.

Mistake 4: too many options

Fix: cap start frames at 2–3 and motion drafts at 3–5.

FAQ

Do I need a start frame if I’m doing text-to-video?

If you care about consistency, yes. A locked start frame turns “prompting” into a controlled production workflow.

What’s the best camera move to start with?

Pick one simple move (slow push-in) until your team can approve consistently.

Where does Zorq AI help?

Use Zorq AI to pick a direction from the on-site library (or generate a starting image if you have none), then run motion control iterations after the start frame is approved.

Which model should I choose?

Use the model that best matches your workflow needs (e.g., Kling v3 Motion Control, Kling v2.6 Motion Control, or Nano Banana 2). The key is to keep the start frame constant during comparisons.

Conclusion: lock the still, then iterate motion

If your team wants predictable output, don’t start with motion. Start with a start frame approval gate.

Try the workflow in Zorq AI:

Zorq AI

Start Frame Approval Checklist: Lock Consistency Before Motion | Blog