Show HN: An AI video prompt cookbook for image-to-video workflows
A practical prompt pattern collection for creators, marketers, and small content teams working with image-to-video and text-to-video AI workflows. It includes a prompt card format, example prompts for product ads and UGC-style hooks, a same-prompt model testing method, an evaluation scorecard, and failure notes.
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Practical prompt patterns for creators testing image-to-video and text-to-video workflows.
This cookbook is for creators, marketers, and small content teams who need usable AI video clips, not one-off demo prompts. It focuses on source image prep, motion wording, preservation constraints, repeatable testing, and failure review.
Who This Is For
Product marketers turning one product image into a short ad clip.
Social creators testing hooks, UGC-style motion, and vertical framing.
Brand teams that need a repeatable way to compare AI video outputs.
Editors who need clips that can still be cropped, captioned, and reused.
This is not an API integration guide. The goal is to make prompt testing easier for people who judge the output visually.
Prompt Card Format
Use one prompt card per test so the idea, constraints, and result stay connected.
Clip job: Source image: Subject to preserve: Motion: Camera: Framing: Style: Negative constraints: Success criteria: Result notes: Next change:
The two most important fields are Subject to preserve and Motion. Many weak AI video prompts describe the image again, but they do not explain what should move.
Image-to-Video Product Prompt
Use this when the source image is already the creative anchor.
Clip job: 5-second vertical product ad. Source image: one clear studio image of the product. Subject to preserve: keep the product shape, cap, label, color, and position unchanged. Motion: soft light sweeps across the product surface while small background shadows move naturally. Camera: slow push-in with stable framing. Framing: 9:16 vertical, leave clean space near the top for a caption. Style: realistic ecommerce product video, polished but not over-stylized. Negative constraints: no extra objects, no label distortion, no melted edges, no background replacement. Success criteria: product stays recognizable and the clip can be used in a short ad edit.
UGC-Style Hook Prompt
Use this when the output needs to feel like a creator shot, but the product still needs to stay readable.
Clip job: creator-style social hook for a product recommendation. Source image: product held near a simple tabletop background. Subject to preserve: keep the product label, package shape, and hand position stable. Motion: subtle handheld movement, product tilts slightly toward camera, natural light shifts. Camera: close vertical phone shot, mild handheld energy, no dramatic zoom. Framing: 9:16, product centered, room for captions on the lower third. Style: clean UGC product clip, realistic, casual, not cinematic. Negative constraints: no fake text overlays, no changed packaging, no extra hands, no warped fingers. Success criteria: the product is readable in the first second and can support a voiceover.
Same-Prompt Model Test
When comparing models, keep the job and prompt stable. Do not change the prompt after seeing the first result, or the comparison becomes a prompt rewrite test instead of a model comparison.
Test name: Product bottle, slow push-in, vertical ad. Input: same source image for every model. Prompt version: v1, unchanged for the first round. Models tested: Model A, Model B, Model C. Scoring: subject fidelity, motion coherence, prompt adherence, editability, retry cost. Decision: keep, retry with constraints, or reject for this job.
Evaluation Scorecard
Criterion Weight What to Check
Subject fidelity 30% Product, character, or object stays recognizable
Motion usefulness 20% Motion starts early and supports the clip job
Prompt adherence 20% Camera, framing, and constraints are followed
Editability 20% Clip can be captioned, cropped, or placed in a sequence
Retry cost 10% Number of regenerations needed for a usable result
Do not keep a clip just because it looks impressive. Keep it only if it solves the original clip job.
Failure Notes
Failure What It Looks Like Next Prompt Change
Product drift Shape, color, or label changes Add stricter preservation constraints and simplify the source image
Background takeover Background moves more than the subject Ask for subtle environmental motion and no background replacement
Text distortion Labels or UI text becomes unreadable Avoid generating new text; add text later in editing
Motion too static First seconds barely move Describe motion that starts immediately
Over-cinematic output Clip looks like a trailer, not a usable ad Lower style intensity and specify platform/use case
Suggested Folder Structure
ai-video-prompt-cookbook/ product-video-prompts/ ugc-ad-prompts/ same-prompt-tests/ failure-notes/ scorecards/
Related LumiYing Resource
Image-to-video workflow: https://lumiying.com/tools/image-to-video
License
MIT for prompt templates and scorecard structures. Adapt them to your own product, brand, safety rules, and editing workflow.
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Practical prompt patterns for image-to-video and text-to-video workflows.
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