minimax/hailuo-2.3/t2v-pro

Professional-grade text-to-video model delivering advanced motion, physics realism and film-style output for VFX and marketing.

TEXT-TO-VIDEO
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minimax/hailuo-2.3/t2v-pro
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Professional-grade text-to-video model delivering advanced motion, physics realism and film-style output for VFX and marketing.

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{
  "model": "minimax/hailuo-2.3/t2v-pro"
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MiniMax Hailuo 2.3 — Text-to-Video (T2V) Pro

Hailuo 2.3 Pro is the premium text-to-video model from MiniMax, engineered for creators who demand cinematic realism, dynamic motion, and superior visual coherence.

It transforms text prompts into richly detailed 5-second 1080p videos — merging professional-grade quality with cutting-edge physical simulation.


Why It Looks Great

  • Cinematic Fidelity – Generates ultra-smooth motion, realistic lighting, and lifelike shadows in every frame.

  • Advanced Physics & Scene Logic – Accurately models object dynamics, reflections, and camera movement.

  • High Prompt Accuracy – Faithfully interprets natural-language descriptions with exceptional semantic precision.

  • Consistent Characters – Maintains subject identity and spatial layout throughout the clip.

  • Refined Aesthetic – Tuned for film-like color grading, depth, and atmosphere.


Limits and Performance

  • Input: text prompt only

  • Output duration: fixed — 5 seconds

  • Resolution: up to 1080p

  • Processing time: approximately 40–70 seconds per job (depending on complexity and queue load)


How to Use

  1. Write a clear text prompt describing your scene, characters, lighting, and motion.

    Example: “A traveler walks through a neon-lit rainy street at night, reflections glowing on wet pavement.”

  2. Submit your job — no reference image required.

  3. Wait for processing (typically under 1 minute).

  4. Download your completed 5-second cinematic video.


Pro Tips

  • Use film-style language — include camera direction (wide shot, slow zoom, tracking).

  • Mention lighting type (sunset glow, neon reflections, soft cinematic light).

  • Keep prompts concise (1–2 sentences) for best fidelity.

  • For stable subjects, include descriptors like same person or consistent background.

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