Notes by ReelStack · AI-assistedUpdated 22 October 2026

Google just leaked an Insane New AI Video Tool

Evaluating leaked model updates and new image generation platforms helps filmmakers stay ahead of shifting tool capabilities and workflow standards.

Video thumbnail: Google just leaked an Insane New AI Video Tool
Original YouTube video

Curious Refuge

Published

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What this lesson covers

This video examines leaked tests of Google's upcoming Omni video model and compares them against Seedance 2.0. It also evaluates Krea 2's new native image model and mood board styling features against competing tools on the market.

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. 01:25 ↗

    Omni models allow users to upload videos, images, and sound directly into a chat experience rather than relying strictly on start frames.

  2. 03:16 ↗

    Krea has introduced Krea 2, featuring a native AI image model and mood board tools for style referencing.

  3. 04:24 ↗

    Krea 2 allows users to select specific image models like Krea 2 large to generate outputs from prompts.

  4. 07:22 ↗

    Mood boards in Krea 2 enable users to upload style reference images to guide visual outputs during generation.

Workflow outlined in the video

  1. Review leaked capabilities of upcoming Omni video models to anticipate future workflow shifts.
  2. Explore Krea 2's mood board feature to test style transfer and visual consistency in image generation.
  3. Compare text-to-image outputs across different models to find the best fidelity for your style.
  4. Incorporate reference imagery and context on the front end to maintain control over visual style.

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

23,617 views captured 22 October 2026. ReelStack recommendation score: 38/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.

Show the calculation
  • 65% performance: 0.95× views vs 5 other channel videos observed at a similar age. View-evidence factor 96% (views / (views + 1,000))
  • 25% freshness: 0/100 with a 14-day half-life
  • Momentum pending: collecting daily snapshots; its 20% weight goes to observed performance, not free points
  • 10% engagement: 75/100; likes + 4× comments, smoothed with a 500-view neutral prior

Read our methodology and limitations →

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