Seedance

Seedance is ByteDance’s video generation model family, developed by the team behind Doubao and the Seedream image models. It is built for fast, prompt-faithful video generation: a single short prompt produces a coherent 5- or 10-second clip at up to 1080p, with strong adherence to camera-direction language (“dolly in”, “tracking shot”, “static”) and good motion stability across frames.

Architecture

Seedance is a Diffusion Transformer (DiT) trained jointly on text-to-video and image-to-video objectives. Two design choices stand out for API users:

• Decoupled spatial and temporal layers — the model alternates spatial-attention blocks (per-frame composition) with temporal-attention blocks (cross-frame motion). This split lets it learn fine-grained appearance and physics independently, which produces fewer flicker artifacts on textures like fur, fabric, and water than single-stream architectures.
• Multi-shot training — Seedance is trained on multi-shot sequences, so a single prompt that describes a brief sequence of actions (“the dog runs to the camera, then leaps over the puddle”) tends to produce a continuous shot that follows the described beats rather than a single static motion.

Variant comparison

The Seedance family on Prodia ships in two variants. Pro Turbo is the default starting point for almost all use cases; Pro exists for cases where you need maximum quality and are willing to pay more for it.

Feature	Pro Turbo	Pro
Job type prefix	inference.seedance.proturbo.*	inference.seedance.pro.*
Resolutions	480p, 1080p	480p, 1080p
Aspect ratios (txt2vid)	16:9, 9:16, 1:1, 4:3, 3:4, 21:9	16:9, 9:16, 1:1, 4:3, 3:4, 21:9
Duration	5s or 10s	5s or 10s
Generation time	~45s	~60s
Cost (1080p, 5s)	lower (around half of Pro)	higher

Pro Turbo — the recommended default. A distillation/optimization tier with the same API surface as Pro and ~25% faster generation. The quality difference for typical prompts is small enough that Pro Turbo is the right choice unless you have a specific reason to pay more.

Pro — full-quality variant. Useful when you have a finished prompt that didn’t quite render the way you wanted on Pro Turbo and you want one more pass with the higher-quality model before iterating on the prompt.

Note

A lite variant (inference.seedance.lite.*) is also exposed, but it is deprecated and reaches end of life on 2026-04-30. New projects should use proturbo or pro. The migration is a one-token rename in the type field — the config schema is compatible.

When to use Seedance

Use case	Job type	Why Seedance
Short cinematic clip from a prompt	proturbo.txt2vid	~45s generation at 1080p, strong camera-direction prompting
Animating a hero image / product shot	proturbo.img2vid	Faithful starting frame + natural motion in 5s
Loopable social content	proturbo.txt2vid with aspect_ratio: 9:16	Native portrait support for TikTok/Reels
Final-pass quality on a locked prompt	pro.txt2vid / pro.img2vid	Slightly higher fidelity than Pro Turbo at higher cost

For audio-driven video (lip-sync from a portrait + audio file) or first-and-last-frame interpolation, Wan 2.7 is the better fit — Seedance does not accept audio or a last_frame. For very low-latency 720p-only generation, Wan 2.2 Lightning generates in ~22s. For the most precise camera choreography (per-axis pan, tilt, roll, zoom), Kling exposes those controls explicitly.

Job types

Job type	Description	ETA
inference.seedance.proturbo.txt2vid.v1	Text-to-video, Pro Turbo	~45s
inference.seedance.proturbo.img2vid.v1	Image-to-video from a starting frame, Pro Turbo	~45s
inference.seedance.pro.txt2vid.v1	Text-to-video, Pro	~60s
inference.seedance.pro.img2vid.v1	Image-to-video from a starting frame, Pro	~60s

Note

All Seedance job types are async-only. Submit to POST /v2/job/async and poll GET /v2/job/async/:id/job.state.current until it returns processed, then download output/video.mp4. See the async reference and the polling async jobs guide for the full flow.

Parameters

Common to all job types:

• prompt (required) — text description of the desired clip, 3–4,096 characters
• resolution — "480p" or "1080p" (default: "1080p"). Exact width/height varies with aspect ratio.
• duration — 5 or 10 seconds (default: 5)
• camera_fixed — true to discourage camera motion (default: false, not guaranteed)
• watermark — true to add an “AI-generated” watermark (default: false)
• seed — integer for reproducible results

Text-to-video only:

• aspect_ratio — "16:9" (default), "9:16", "1:1", "4:3", "3:4", or "21:9"

Image-to-video only:

• first_frame — filename of the starting frame, supplied as a multipart form file. Aspect ratio of the output follows the input image.

Prompting tips

• Describe the motion, not just the scene — Seedance is trained to follow camera and subject-motion language. A prompt like "slow dolly in on the puppy, shallow depth of field" produces noticeably more intentional motion than "a puppy".
• Use camera_fixed for product shots — when you want the subject to move but the camera held still (e.g. a rotating product on a tabletop), set camera_fixed: true and describe the subject motion in the prompt.
• Match aspect ratio to platform — 9:16 for TikTok/Reels/Shorts, 16:9 for YouTube/landing pages, 1:1 for Instagram feed, 21:9 for cinematic banners.
• 480p is genuinely useful for iteration — 480p costs roughly a fifth of 1080p and finishes in the same wall time. Iterate on prompts at 480p, then switch the same prompt to 1080p for the final render.
• Short, declarative prompts beat long ones — Seedance handles 1–2 sentence prompts well. Very long prompts tend to get partially ignored; if you need to describe a sequence of actions, separate beats with commas rather than long subordinate clauses.

Examples

Text-to-video at 1080p, 16:9, 5 seconds:

{
  "type": "inference.seedance.proturbo.txt2vid.v1",
  "config": {
    "prompt": "a golden retriever puppy running through a field of wildflowers in slow motion, cinematic lighting, hyperrealistic",
    "resolution": "1080p",
    "aspect_ratio": "16:9",
    "duration": 5
  }
}

Sample frame from the generated clip (480p preview shown for size):

Vertical 9:16 clip for TikTok/Reels with a fixed camera:

{
  "type": "inference.seedance.proturbo.txt2vid.v1",
  "config": {
    "prompt": "a barista pouring latte art into a cup, steam rising, warm morning light",
    "resolution": "1080p",
    "aspect_ratio": "9:16",
    "duration": 5,
    "camera_fixed": true
  }
}

Image-to-video — animate a still frame with a described camera move. The first_frame field names the file, which is uploaded alongside the job as multipart form-data:

job.json

{
  "type": "inference.seedance.proturbo.img2vid.v1",
  "config": {
    "first_frame": "cyberpunk-input.jpg",
    "prompt": "the camera slowly pushes forward through the cyberpunk market, neon signs flicker, people walk by",
    "resolution": "1080p",
    "duration": 5
  }
}

Input frame:

Sample frame from the generated clip — the camera has pushed forward through the same scene:

Guides

Generating VideosStep-by-step tutorial covering text-to-video and image-to-video against the v2 inference API.

Polling Async JobsThe submit → poll → download flow used by all Seedance job types.

Async API ReferenceEndpoint reference for /v2/job/async.