Seedance V1 Pro T2V 480P API

Seedance V1 Pro (T2V - 480p)

/seedance-v1-pro-t2v-480p is a text-to-video generation model. It transforms written prompts into dynamic short-form videos with controllable aspect ratios, camera settings, and reproducible seeds. Designed for creators, it offers cinematic quality at affordable pricing.

Why it looks great

• Text-to-video fidelity: interprets prompts into coherent, cinematic video scenes.
• Dynamic motion range: Wide dynamic range supporting both subtle and large-scale movements.
• Physical realism & stability: Maintains physical realism and stability across motion sequences.
• Complex interactions: Handles complex action sequences and multi-agent interactions.

Limits and Performance

• Output resolution: 480p
• Duration options: 5 seconds or 10 seconds
• Processing speed: ~20–60 seconds wall time per clip (varies by prompt complexity and queue load)

Pricing

Billing Rules

• Minimum charge: 5 seconds
• Per-second rate = (price per 5 seconds) ÷ 5
• Billed duration = video length in seconds (rounded up), with a 5-second minimum
• Total cost = billed duration × per-second rate (by output resolution)

How to Use

1. Write a prompt describing the scene, subject, and motion.
2. Select aspect_ratio: like 16:9, 9:16, or 1:1.
3. Choose duration (5s or 10s).
4. (Optional) Enable camera_fixed for a locked viewpoint.
5. (Optional) Set a seed for reproducibility.
6. Submit the job and download your generated video.

Pro tips for best quality

• Use detailed prompts with cinematic language (lighting, angles, dynamics).
• Pick aspect ratio according to publishing platform (9:16 for TikTok/shorts, 16:9 for YouTube).
• Start with 5s runs for fast iteration; expand to 10s for final sequences.
• Use camera_fixed for product showcases, interviews, or static shots.
• Keep seeds fixed if you need consistent multi-shot content.

Use Cases

• Creative video content generation
• Prototype development for film and animation
• Commercial video production
• Educational and documentary content
• Fantasy and surreal video creation

Notes

• Performance metrics based on specific benchmark datasets
• Actual generation quality may vary with prompt complexity
• Multi-shot consistency depends on prompt clarity and scene descriptions