dreamactor m2.0 AI motion control model
Claudia Perez
News

DreamActor M2.0 Motion Control Review

Promptus
February 6, 2026
Wiki 320
promptus ai video generator

DreamActor M2.0 brings serious upgrades in quality, consistency, and cost efficiency.

DreamActor M2.0 is officially available.

While many AI motion tools are still stuck in the “cool demo” phase, DreamActor M2.0 is clearly aiming higher — toward stable, controllable, production-ready motion transfer.

DreamActor M2.0 model is available to creators directly through Promptus, BytePlus’s partner platform. Let’s break it all down.

What Is DreamActor M2.0?

DreamActor M2.0 is a next-generation AI motion control model that allows you to animate a character using just:

  • One static image
  • One template (reference) video

The model transfers:

  • Body motion
  • Facial expressions
  • Lip movements

…from the template video onto the image, while preserving the subject’s identity, structure, and background consistency throughout the clip.

The result is motion that feels intentional, complete, and far more stable than what most creators are used to seeing from AI motion tools.

How DreamActor M2.0 Works

At its core, DreamActor M2.0 is a large-model-driven motion transfer system.

Here’s the high-level flow:

  1. Input a single character image
    Human, animal, or stylized/anime character.
  2. Input a template video
    This defines motion, expressions, and lip sync.
  3. Large model motion understanding
    The system interprets performance holistically — not just frame-by-frame pose matching.
  4. Consistent animated output
    The generated video maintains:
    • Structural stability
    • Identity consistency
    • Background coherence

This makes DreamActor M2.0 especially strong for complex actions, multi-character scenes, and non-human subjects.

How to Use DreamActor M2.0 on Promptus

Creators access DreamActor M2.0 directly through Promptus, an AI creation platform and official partner of BytePlus.

Promptus acts as the user-facing environment where creators can run DreamActor M2.0 efficiently and at scale.

Step 1: Upload Your Character Image

Choose a clean, well-defined image:

  • Clear facial features
  • Stable body proportions
  • Minimal motion blur

DreamActor M2.0 performs especially well with:

  • Animals
  • Anime and stylized characters
  • Non-human IPs

Step 2: Upload a Template Video

Your template video defines the performance:

  • Body movement
  • Facial expressions
  • Lip motion (if dialogue is involved)

Best results come from videos with:

  • Clear, readable motion
  • Stable framing
  • Strong expression cues

Step 3: Configure and Generate in Promptus

Within Promptus, users can:

  • Select DreamActor M2.0 as the motion control model
  • Pair image and template video inputs
  • Manage multiple runs or variations efficiently

Promptus provides a streamlined interface for running DreamActor M2.0 without needing custom pipelines or engineering overhead, making it ideal for both individual creators and teams.

Step 4: Review and Iterate

Once generated, creators typically review:

  • Motion completeness
  • Facial and body stability
  • Lip-sync accuracy
  • Identity and background consistency

DreamActor M2.0’s outputs tend to require less corrective iteration compared to earlier motion control systems.

DreamActor M2.0 vs Kling 2.6 Motion Control

In comprehensive evaluations, DreamActor M2.0 shows clear performance advantages over Kling 2.6 Motion Control.

Quantitative Results

  • Overall GSB performance:
    +9.66% improvement compared to Kling 2.6

This indicates more stable, controllable, and reliable output quality.

Qualitative Advantages

DreamActor M2.0 significantly outperforms Kling 2.6 in:

  • Multi-agent driving
    More consistent coordination across multiple characters.
  • Action completeness
    Motions feel finished, not partially realized.
  • Subject structural stability
    Faces, limbs, and bodies hold their form across frames.
  • Animal and anime consistency
    One of its strongest differentiators — far fewer distortions in non-human content.

These strengths make DreamActor M2.0 far more suitable for real production workflows.

Pricing Comparison

Cost efficiency is another major advantage.

  • Kling 2.6 Motion Control is 1.4× to 2.24× more expensive
  • DreamActor M2.0 delivers higher performance at a lower price point

For studios or creators generating at scale, this difference is substantial.

For more pricing and API details for DreamActor in Promptus.

Who Is DreamActor M2.0 Best For?

DreamActor M2.0 is especially well-suited for:

  • AI filmmakers and video creators
  • Studios producing multi-character scenes
  • Projects involving animals or anime IP
  • Teams requiring consistent, repeatable output
  • Large-scale content production via Promptus

If you care about stability, control, and scalability, this model is clearly designed with you in mind.

DreamActor M2.0 – Frequently Asked Questions

What do I need to use DreamActor M2.0 in Promptus?

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To use DreamActor M2.0 in Promptus, you only need two inputs: a single character image and a template video. The image defines the subject you want to animate, while the template video provides the motion, facial expressions, and lip movement.

How does the template video affect the final result?

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The template video acts as the motion driver. DreamActor M2.0 extracts body movement, facial expressions, and lip motion from the video and applies them to your character image while preserving identity and structure. Clear, stable template videos generally produce the best results.

Can DreamActor M2.0 be used for animals or anime characters?

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Yes. DreamActor M2.0 is especially strong with non-human subjects such as animals, anime characters, and stylized IPs. It maintains structural stability and visual consistency better than most motion control tools when used through Promptus.

Does DreamActor M2.0 support multiple characters in one scene?

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Yes. DreamActor M2.0 performs well in multi-character scenarios, showing stronger motion coordination and action completeness across subjects. This makes it suitable for more complex scenes and production-scale workflows.

How many generations are usually needed for a good result?

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In most cases, users achieve strong results in one or two generations. DreamActor M2.0’s improved stability and controllability reduce identity drift and incomplete motion, minimizing the need for repeated retries.

Written by:
Claudia Perez
Claudia Perez is an tech creator using Promptus to design and share expressive image workflows. Her work focuses on visual storytelling, refined aesthetics, and reusable ComfyUI pipelines that other creators can learn from and remix.
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