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Mago Video Models

← Model catalog · Closed-source video models →
Mago video models are built on Mago’s own architecture, leveraging open-source foundations. They run on Mago infrastructure and can be deployed in specific territories or in a client’s own environment under Enterprise terms. All Mago video models share these properties:
  • Frame-perfect — N input frames produce N output frames, each corresponding to a specific source frame.
  • Descriptive prompts — describe the desired result; do not write instructions. (Why?)
  • Settings-rich — more controls than closed-source alternatives. Harder to learn, more powerful once learned.
  • Available in Relaxed mode — unmetered usage subject to plan limits.
  • Confidential — not used to train models. Project data stays private.

Mago Transform

Type: full transformation. Use when the goal is to substantially change a scene — turn a city into a forest, day into night with new geography, an actor into a creature. Driven mostly by an initial keyframe or reference frame, with the prompt playing a major role.

ControlNets for Mago Transform

ControlNets are conditioning signals that constrain how far the model can deviate from the source. They’re one of the most important Mago Transform settings.
💡 ControlNet decision — Start with Depth if the camera is static and structure matters. Switch to SoftEdge for creative freedom or significant camera movement. Use Pose for character-focused shots.

Settings

ControlNet settings

Prompting

Mago Transform expects descriptive prompts. Describe what the output looks like, not what to do.
Example“Turn this scene into a wooden castle.”“A medieval wooden castle at dusk with overcast sky, rough-hewn timber walls, slate roof, torches mounted on the gatehouse.”

Mago Style Transfer

Type: stylization that closely conforms to the source. Excels at preserving micro-expressions, lip sync, and fine motion while changing visual style. The strongest fit for AI rendering of acted footage where performance must survive the restyle. Also good for relighting and transformations that stay close to the original geometry.

Settings

Use cases

  • AI character rendering — preserve actor performance while replacing the visual treatment.
  • Animation restyling — re-render an existing animation in a different style.
  • Relighting — change lighting without changing composition.
  • Look development — explore visual treatments quickly without rebuilding motion.

Troubleshooting

More: Troubleshooting.

Mago Character

Type: character replacement. Replaces the character in any scene with a character from a reference image, with or without the reference’s background. The reference doesn’t need to match the source framing — a full-body reference can replace a close-up character.
🧪 Recommended pre-step — Go through Modify Frame first. Generate a reference closely matching the source pose using GPT Image 2 or Nano Banana Pro, then use that frame as the Mago Character reference. Dramatically more controllable than a generic reference.
Two modes, switched by the Use image background toggle: off = replace the character while keeping the original background (v4.0); on = also bring in the reference image’s background (v4.1). The masking settings below appear only in replacement mode (Use image background off).

Settings

Troubleshooting


Mago Inpaint

Type: precise localized edits. Edits a masked region while leaving the rest intact. Inputs: a source video, a mask, an image reference showing what the masked region should look like, and a descriptive prompt of the post-edit scene.

Inputs

Mask settings

Advanced settings

Prompting

Example“Replace the teacup with a water bottle.”“A water bottle is on the table.” Mago models don’t take instructions — describe what the result should look like.

Pixel-perfect preservation

Mago Inpaint (like most video models) doesn’t operate in pure pixel space — unmasked regions can shift slightly (brightness, color, minor texture) due to compression. For pixel-perfect preservation:
  1. Download the mask from the Mask workspace.
  2. Render the Mago Inpaint result.
  3. In Nuke, After Effects, or Fusion, composite the inpainted result onto the original source using the downloaded mask.
This guarantees unmasked pixels are identical to the source. See Export & compositing.
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