AI Video Prompting10 min read

Firefly's Official Prompt Structure (Shot + Character + Action + Location + Aesthetic) - Translated Into a Veo3Gen "Shot Card" for Consistent Creator Videos

Translate Firefly’s video prompt structure into a Veo3Gen “Shot Card” you can reuse for consistent, repeatable creator videos.

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TL;DR

Firefly’s creator-friendly prompt structure—Shot + Character + Action + Location + Aesthetic—works because it forces the five details most prompts omit. To get repeatable results in Veo3Gen, translate it into a stricter 7-field “Shot Card” that separates Camera, Lighting/Time, and Constraints so you can iterate without rewriting everything.

Key takeaways

Why “official” prompt structures beat freestyle prompts

Most prompting advice fails in two predictable ways:

  1. it stays vague (“make it cinematic”), or
  2. it becomes tool-locked (“use parameter X”).

Structured prompting is neither. Captions.ai describes AI video prompts as ranging from a single sentence to a structured block covering subject, setting, camera movement, lighting, mood, and style (https://captions.ai/blog/how-to-write-a-winning-ai-video-prompt). The value is operational: when your prompt is slot-based, you can change one variable at a time and keep everything else stable.

That matters because variance is normal: EachLabs notes the same prompt can produce different results, and recommends being ready to tweak details like lighting or camera angle to get closer to what you intend (https://www.eachlabs.ai/blog/image-to-video-prompt-guide-best-practices-for-realistic-results). A structure gives you a controlled way to do that.

Firefly’s prompt structure (and what each slot really controls)

Firefly’s structure can be summarized as:

Shot Type + Character + Action + Location + Aesthetic

Here’s the practical “control surface” behind each slot.

Shot Type

Fastest way to communicate what the viewer should pay attention to.

  • Close-up: face/product detail
  • Medium: body language, gestures
  • Wide: environment, scale
  • POV: embodied motion

Character

Anchors identity. If you don’t specify identity, the model invents it.

  • Role + a few stable traits (e.g., “barista,” “founder,” “runner”)
  • Keep it to one primary subject unless the scene truly requires more

Action

Must be visible motion, not intention.

Kling’s prompt guide recommends movement cues describe visible motion (e.g., “smoke drifting upward,” “camera tracking beside the subject”), not abstract ideas (https://kling.ai/blog/kling-ai-prompt-guide). Apply the same rule here.

Location

Controls background complexity, implied props, and lighting logic.

Aesthetic

Style + mood shorthand. Captions.ai separates “Lighting and mood” from “Style” in its six-layer structure (https://captions.ai/blog/how-to-write-a-winning-ai-video-prompt). Firefly rolls them together—fine for ideation, but you’ll usually want them separated for consistency.

The Veo3Gen “Shot Card”: a stricter translation for consistent creator output

Firefly’s five slots are great as a one-liner. For repeatable creator production (UGC-style ads, product loops, series templates), the main upgrade is splitting the ambiguous parts into separate fields.

EachLabs describes a common image-to-video prompt structure including Subject, Action, Context/Environment, and Cinematography/Camera (https://www.eachlabs.ai/blog/image-to-video-prompt-guide-best-practices-for-realistic-results). The Shot Card aligns with that—and adds a dedicated “don’t do X” slot.

Veo3Gen Shot Card (copy-paste template)

1) Subject / Identity:

  • Who/what (1 primary subject)
  • 2–4 stable traits (wardrobe, materials, product specifics)

2) Action (visible):

  • One action you can storyboard in 2–4 beats
  • Include micro-actions (blink, tilt, pour, swipe)

3) Setting / Location:

  • Environment + 1–3 key props
  • Specify background simplicity (clean / minimal / busy)

4) Camera (shot + movement):

  • Shot size (close/medium/wide/POV)
  • Movement (locked / handheld / push-in / pan / track)

5) Lighting / Time:

  • Time of day (morning / golden hour / night)
  • Lighting style (soft window light / practicals / neon)

6) Style / Grade:

  • Photoreal vs stylized
  • Finish cues (commercial, UGC phone look, cinematic grain)

7) Constraints / Exclusions:

  • What must NOT happen (extra people, extra hands, label changes, text overlays)

Mid-article CTA (Veo3Gen, grounded): If you already have a library of ideas, Shot Cards make them reusable. Veo3Gen is a practical place to run that library because it supports text-to-video and image-to-video, includes native synchronized audio in a single pass, and offers three modes (Fast/Quality/Lite) so you can iterate cheap and finish high fidelity (VEO3GEN FACTS).

Worked example (with a real “before → after” and a tweak plan)

Below is one concrete example you can copy as a starting point, plus exactly how to iterate it without prompt bloat.

Example: Hands-only unboxing (small business Reel)

Firefly-style line (before):

  • Top-down shot, hands assemble a gift box, wooden table, craft aesthetic.

Veo3Gen Shot Card (after):

  1. Subject / Identity: Two hands with simple jewelry; kraft gift box; tissue paper; ribbon; thank-you card
  2. Action (visible): Open box → place tissue → place product → tie ribbon bow → slide thank-you card under lid
  3. Setting / Location: Clean wooden tabletop; materials neatly arranged; minimal clutter
  4. Camera (shot + movement): Top-down; locked-off; no zoom
  5. Lighting / Time: Soft diffuse daylight; minimal shadows
  6. Style / Grade: Photoreal; clean tutorial look; true-to-life colors
  7. Constraints / Exclusions: No extra hands; no extra fingers; no tools appearing; keep item sizes consistent; no text overlays

How to iterate this Shot Card in 3 passes

EachLabs recommends being ready to tweak things like lighting or camera angle as you refine (https://www.eachlabs.ai/blog/image-to-video-prompt-guide-best-practices-for-realistic-results). Here’s a controlled way to do that.

Pass What you change What you don’t touch Example change
Base Subject/Action/Setting Everything else Remove “thank-you card” if it causes clutter
Control Camera OR Lighting/Time (one slot) Subject/Action/Setting Change lighting to “warm practical lamp” if daylight feels sterile
Polish Style/Grade OR Constraints Everything above Add “no logo changes” if a branded insert morphs

This is the main advantage of a Shot Card: it turns “try again” into “change one field.”

Common failure modes (and the exact slot to change)

Failure mode 1: The model invents extra people/hands/objects

Symptom: extra hands appear, background people show up, duplicate products.

Fix: tighten Subject/Identity and harden Constraints/Exclusions.

  • Change (Subject): “hands assemble a gift box”
  • To: “only two hands assemble a gift box; no other people visible.”

Failure mode 2: Action is abstract

Kling recommends movement cues describe visible motion (https://kling.ai/blog/kling-ai-prompt-guide).

Fix: rewrite Action as visible beats.

  • Change: “shows off the product”
  • To: “picks up product → rotates toward camera → places it down.”

Failure mode 3: Camera intent gets ignored

If camera language is buried inside the creative sentence, it often becomes optional.

Fix: isolate camera language in Camera and keep it short.

  • “Cinematic shot with a dramatic push-in while…” → “Camera: slow push-in.”

Failure mode 4: Style conflicts with realism

EachLabs suggests you can use specific keywords indicating photorealism and mention camera settings/lighting/lenses to push realism (https://www.eachlabs.ai/blog/image-to-video-prompt-guide-best-practices-for-realistic-results). The trap is mixing incompatible cues.

Fix: pick one lane in Style/Grade.

  • Realism lane: “photoreal, natural skin texture, true-to-life colors.”
  • Stylized lane: “animated, simplified shading, illustrated texture.”

Image-to-video: prompt motion-first (because the image is already doing half the job)

Captions.ai describes image-to-video as providing a still image as the starting frame and describing the motion/action to animate from that reference point (https://captions.ai/blog/how-to-write-a-winning-ai-video-prompt). EachLabs emphasizes clarity on subject/action/setting/mood for realistic results (https://www.eachlabs.ai/blog/image-to-video-prompt-guide-best-practices-for-realistic-results).

Practical rule:

  • Don’t waste tokens re-describing what the image already proves.
  • Describe what changes over time (motion + camera behavior), and add constraints that preserve identity.

Image-to-video micro-template (copy-paste)

  • Subject/Identity: Use the provided image as the first frame.
  • Action (visible): (2–4 micro-motions: head turns, blink, cloth movement, pour)
  • Camera: (slow drift, locked, small push-in)
  • Lighting/Time: Keep lighting consistent with the reference image.
  • Constraints: No face change; no outfit change; background remains stable.

Where Veo3Gen fits in this workflow (only grounded claims)

Once you have Shot Cards, you want a generation workflow that supports iteration and finishing.

Veo3Gen (per provided facts):

  • is an affordable way to access Google’s Veo 3.1 video models without Google’s enterprise pricing.
  • offers three modes: Veo 3.1 Fast (quick, great default), Veo 3.1 Quality (max fidelity), and Veo 3.1 Lite (cheapest, preview).
  • generates native, synchronized audio (dialogue, SFX, music) in a single pass.
  • supports text-to-video and image-to-video, plus first-and-last-frame control on Veo 3.1.
  • supports 720p, 1080p, and 4K (4K on Fast/Quality), with 16:9 and 9:16 aspect ratios.
  • uses pay-as-you-go credits plus optional monthly plans; purchased credits do not expire; new users get free credits; and there is a developer API (VEO3GEN FACTS).

Checklist

  • Can I summarize the clip as one subject doing one visible action?
  • Did I choose a shot type (close/medium/wide/POV) and put it in Camera?
  • Did I keep the cast small (ideally one person or hands-only)?
  • Is the Action written as something you can literally see frame-to-frame (not “promotes,” “feels,” “introduces”)?
  • Did I specify Lighting/Time to avoid random mood shifts?
  • Did I put “don’ts” in Constraints/Exclusions instead of cluttering the creative description?
  • For image-to-video: did I focus on motion + camera behavior since the image anchors the look? (https://captions.ai/blog/how-to-write-a-winning-ai-video-prompt)

FAQ

How do I turn Firefly’s Shot + Character + Action + Location + Aesthetic into a Veo3Gen template?

Map Firefly’s five into the Shot Card, then add Camera, Lighting/Time, and Constraints/Exclusions. The goal is fewer degrees of freedom: same idea, less model “freestyling.”

How do I stop AI videos from adding extra people or extra hands?

Reduce the cast in Subject/Identity and harden it in Constraints/Exclusions (“only one person,” “hands-only,” “no other people visible”). This targets the most common unwanted invention.

How do I write better motion for image-to-video when I already have a reference frame?

Treat the image as the starting anchor and describe what changes over time—micro-movements, object motion, and camera drift—because image-to-video starts from a still and animates the motion you specify (https://captions.ai/blog/how-to-write-a-winning-ai-video-prompt).

Why does the same prompt give different results, and what should I tweak first?

Variance is normal. EachLabs explicitly notes you may need to tweak details like lighting or camera angle even with the same prompt (https://www.eachlabs.ai/blog/image-to-video-prompt-guide-best-practices-for-realistic-results). Tweak one slot at a time: start with Camera, then Lighting/Time, then Constraints.

How long should my AI video prompt be for consistent results?

Captions.ai notes prompts can range from a sentence to a structured block (https://captions.ai/blog/how-to-write-a-winning-ai-video-prompt). Use “as long as needed to fill the slots clearly.” Structure beats length.

Ready to turn Shot Cards into consistent clips?

If your current workflow is “rewrite the prompt and hope,” switch to Shot Cards and iterate by swapping one field. Then run the same Shot Card across variants.

Closing CTA (Veo3Gen, grounded): When you’re ready to produce at scale, Veo3Gen supports text-to-video and image-to-video, generates native synchronized audio in one pass, and gives you Fast/Quality/Lite modes so you can preview cheaply and finish with max fidelity—plus you can start with free credits (VEO3GEN FACTS).

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