Vidu Text To Video

Vidu Text To Video

Playground

Vidu Text to Video generates high-quality 720p videos with exceptional visual quality and motion diversity

Features

🎬 Vidu Text-to-Video

Vidu Text-to-Video transforms your text prompts into high-quality, cinematic 720p videos — complete with expressive motion, dynamic lighting, and natural camera movement. Built for creators, storytellers, and developers, Vidu delivers smooth, detailed, and visually coherent motion sequences directly from text input.

🌟 Why it looks amazing

• Cinematic generation: produces film-like shots with realistic motion and depth of field.
• High temporal consistency: ensures clean transitions with minimal flicker or distortion.
• Motion diversity: supports subtle gestures, expressive movement, and camera motion for natural flow.
• Text-guided direction: interprets complex scene descriptions with strong semantic alignment.
• 720p output: optimized for crisp detail and creative flexibility.

⚙️ Parameters and Controls

• prompt — describe your scene (e.g., “A cat walking through a neon-lit alley at night”).

• movement_amplitude — control motion strength:

  • auto (default): model decides best motion level.
  • small: subtle, gentle movements (good for portraits or still scenes).
  • medium: balanced camera and subject motion.
  • large: cinematic, dramatic, or action-heavy movement.

• seed — set for reproducible results (leave blank for random).

💰 Pricing

🚀 How to Use

1. ✍️ Write your prompt describing the scene or action.
2. 🎥 Choose your movement amplitude (auto, small, medium, or large).
3. 🎲 Optionally set a seed for reproducibility.
4. ▶️ Click Run ($0.20) to generate your video.

💡 Pro Tips

• Use vivid verbs and adjectives for better motion understanding.
• For subtle portraits, pick small amplitude; for dynamic shots, choose large.
• Keep your prompt concise but descriptive — focus on subject, setting, and style.
• Adjust seed values to explore different visual interpretations of the same prompt.

# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/vidu/text-to-video" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
    "movement_amplitude": "auto"
}'

# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"