Notes by ReelStack · AI-assistedUpdated 30 October 2026

5-Step Workflow: How to Make Viral AI Short Dramas (60M Views)

A practical masterclass in maintaining strict character and environmental consistency for episodic narrative content using multi-view reference sheets and ChatGPT skills.

Video thumbnail: 5-Step Workflow: How to Make Viral AI Short Dramas (60M Views)
Original YouTube video

Higgsfield AI

Published

Watch the original video ↗

What this lesson covers

Higgsfield AI breaks down a 5-step production pipeline for generating photorealistic, viral AI short dramas using ChatGPT integrations. The tutorial covers story architecture, character sheet creation rules, spatial environment generation, and scene generation with Seedance 2.5.

Key takeaways from the creator

AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.

  1. 02:48 ↗

    Viral AI short dramas should run between 1 to 3 minutes and rely on a four-part structure: hook, context, escalation, and cliffhanger.

  2. 04:56 ↗

    Character sheets should use a neutral gray background and three views (front, back, and face close-up), with the face erased from the full-body front view to prevent reference ambiguity in the video model.

  3. 06:11 ↗

    Fine costume details like jewelry should be generated as isolated close-up assets and composited into the character turnaround sheet alongside face and outfit references.

  4. 06:50 ↗

    Generating a three-quarter wide angle of the set establishes room architecture and sightlines, keeping multi-angle scene generations spatially consistent.

  5. 07:58 ↗

    The opening scene should start at the dramatic peak without preliminary context, followed by emotional shifts every 20 to 30 seconds to sustain viewer retention.

Workflow outlined in the video

  1. Connect the Higgsfield plugin to ChatGPT and outline a familiar story archetype framed around a clear 1 to 3 minute narrative arc.
  2. Generate realistic face and wardrobe concept references using SOUL 2.0 while maintaining consistent naming tags in the chat thread.
  3. Combine face, wardrobe, and accessory close-ups into a unified character sheet on a gray background, removing the full-body front face to ensure single-reference fidelity.
  4. Generate a three-quarter master plate of the filming location containing key blocking markers such as tables, walkways, and entryways.
  5. Deploy prompt-generation skills in ChatGPT configured for Seedance 2.5 to script dialogue, action beats, and shot-by-shot generation prompts.

Before you use this workflow

These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.

ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.

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How to interpret the numbers

117,243 views captured 30 October 2026. ReelStack recommendation score: 44/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.

Show the calculation
  • 65% performance: 0.59× views vs 12 other channel videos observed at a similar age. View-evidence factor 99% (views / (views + 1,000))
  • 25% freshness: 68/100 with a 14-day half-life
  • Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
  • 10% engagement: 34/100; likes + 4× comments, smoothed with a 500-view neutral prior

Read our methodology and limitations →

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