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I Made a 35-Second Photorealistic AI Film With 5 Segments — Here's the Exact Blueprint
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AI Architecture Claude 3.7 / GPT-4o
Category Portrait & Character
Best Use Case Commercial & Cinematic
Portrait & Character AI Video Generation Prompt

I Made a 35-Second Photorealistic AI Film With 5 Segments — Here's the Exact Blueprint

title: I Made a 35-Second Photorealistic AI Film With 5 Segments — Here's the Exact Blueprint published: true tags: ai, video, promptenginee...

Quick Answer (Voice / AI Overview) Here is the verified I Made a 35-Second Photorealistic AI Film With 5 Segments — Here's the Exact Blueprint prompt for Claude 3.7 / GPT-4o under the Portrait & Character category. You can copy the full JSON blueprint on JsonPrompts.in for free.
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title: I Made a 35-Second Photorealistic AI Film With 5 Segments — Here's the Exact Blueprint published: true tags: ai, video, promptengineering, tutorial --- Most AI video tools stay stable for about 5–10 seconds per generation. So how do you make a 35-second film that actually holds together — same person, same outfit, one continuous story? I shipped one: a photorealistic seaside day-in-the-life film, 35 seconds, built from 5 independently generated segments. Here's the exact blueprint I used. It works because the segments connect through discipline, not through luck. ## The 5-segment blueprint Cut on narrative beats, not on time. My film's five beats: 1. **Leave home** — the person steps out in the morning light 2. **Arrive** — reaching the seaside town 3. **Buy / event** — a small shop visit, the day's one real event 4. **Return** — heading back as the light turns 5. **Quiet ending** — a still, held moment to close Each segment is generated independently, then stitched in an editor. Merging 1–2 shots per segment is fine; chaining from the previous segment's last frame is not — in my tests, tail-frame chaining drifts faces and outfits the worst. ## The three rules that hold it together **1. One character lock block, pasted verbatim everywhere.** Write the person once — hair, eyes, outfit, accessories, in a fixed order — and paste that exact block into every segment prompt. The block stays frozen; only the action and scene change per segment. Miss one item and that item is the one that drifts. **2. Dialogue: 1–2 shortest lines, max.** Long dialogue in generated video turns to mush. One or two short lines carry the scene; everything else is visual. And never ask the model for subtitles — add text and music in your editor, not in the model. **3. Micro-movement, not big action.** For photorealism, small wins: a slow blink, hair stirred by a faint breeze, a hand reaching for a door. The smaller the motion, the better the look survives generation. ## The negative-constraint tail (attach to every segment) ```plaintext no subtitles, no text, no watermark, no logos, normal hands (five fingers), no distorted face, no face change ``` ## One segment, assembled ```plaintext [person lock block], walking down a narrow seaside street in the morning, carrying a paper bag from the bakery, light steps, side tracking shot, gulls in the distance, natural light, photoreal, no subtitles, no text, no distorted face, no face change ``` ## The pre-delivery fra

Structured JSON Schema

Use with automated API pipelines, LangChain, or custom image generators

{
    "prompt": "title: I Made a 35-Second Photorealistic AI Film With 5 Segments — Here's the Exact Blueprint published: true tags: ai, video, promptengineering, tutorial --- Most AI video tools stay stable for about 5–10 seconds per generation. So how do you make a 35-second film that actually holds together — same person, same outfit, one continuous story? I shipped one: a photorealistic seaside day-in-the-life film, 35 seconds, built from 5 independently generated segments. Here's the exact blueprint I used. It works because the segments connect through discipline, not through luck. ## The 5-segment blueprint Cut on narrative beats, not on time. My film's five beats: 1. **Leave home** — the person steps out in the morning light 2. **Arrive** — reaching the seaside town 3. **Buy / event** — a small shop visit, the day's one real event 4. **Return** — heading back as the light turns 5. **Quiet ending** — a still, held moment to close Each segment is generated independently, then stitched in an editor. Merging 1–2 shots per segment is fine; chaining from the previous segment's last frame is not — in my tests, tail-frame chaining drifts faces and outfits the worst. ## The three rules that hold it together **1. One character lock block, pasted verbatim everywhere.** Write the person once — hair, eyes, outfit, accessories, in a fixed order — and paste that exact block into every segment prompt. The block stays frozen; only the action and scene change per segment. Miss one item and that item is the one that drifts. **2. Dialogue: 1–2 shortest lines, max.** Long dialogue in generated video turns to mush. One or two short lines carry the scene; everything else is visual. And never ask the model for subtitles — add text and music in your editor, not in the model. **3. Micro-movement, not big action.** For photorealism, small wins: a slow blink, hair stirred by a faint breeze, a hand reaching for a door. The smaller the motion, the better the look survives generation. ## The negative-constraint tail (attach to every segment) ```plaintext no subtitles, no text, no watermark, no logos, normal hands (five fingers), no distorted face, no face change ``` ## One segment, assembled ```plaintext [person lock block], walking down a narrow seaside street in the morning, carrying a paper bag from the bakery, light steps, side tracking shot, gulls in the distance, natural light, photoreal, no subtitles, no text, no distorted face, no face change ``` ## The pre-delivery fra",
    "model": "Claude 3.7 / GPT-4o",
    "aspect_ratio": "1:1",
    "category": "Portrait & Character",
    "content_type": "image_prompt",
    "surface": "review",
    "quality_score": 83,
    "provenance": "COMMUNITY_PROMPT"
}

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