Seedance 2.0 Pro is ByteDance's flagship video generation model, released in 2026 as the production-grade tier of the Seedance 2.0 family. It generates high-fidelity video from text prompts and reference images, with native support for cinematic motion, complex scene transitions, and multi-character consistency across frames. This guide covers everything a developer needs to evaluate and integrate it: capability breakdown, pricing, API parameters, endpoint configuration, and practical workflow patterns.
What Is Seedance 2.0 Pro?
Seedance 2.0 Pro is a multimodal AI video generation model developed by ByteDance's Seed team. It sits above the Seedance 2.0 Lite tier in the model family and is designed for production workflows where output quality, motion coherence, and prompt fidelity take priority over cost-per-second.
The model supports two primary generation modes:
- Text-to-video (T2V): generates video from a text prompt describing scene, motion, style, and composition
- Image-to-video (I2V): animates a reference image according to a motion prompt, preserving the visual content of the source image while adding cinematic movement
Both modes output video at configurable resolutions and durations, with consistent frame-to-frame coherence that holds up across the full clip length.
Core Capabilities
Motion Quality and Scene Coherence
Seedance 2.0 Pro is built around high-motion-fidelity generation — the model produces fluid, physically plausible motion rather than the stuttered or drift-prone output common in earlier generation models. Complex actions, camera movements, and environmental dynamics (water, fire, cloth physics) are rendered with consistency across the video timeline.
For multi-character scenes, the model maintains subject identity across frames without the face-swap artifacts or identity drift that affect lower-capability models on clips longer than two seconds.
Prompt Adherence
The model follows detailed compositional prompts with a higher fidelity than the Lite tier. Developers can specify:
- Camera movement type (dolly in, pan left, aerial descent, handheld)
- Lighting conditions and time of day
- Subject action and expression
- Background environment and atmosphere
- Visual style (cinematic, documentary, product shoot, anime)
Prompt adherence is consistent enough for production pipelines where output must match a creative brief without manual review and re-generation on every run.
Image-to-Video Fidelity
The I2V mode preserves reference image content — colors, composition, subject identity — while applying realistic motion. This makes it practical for:
- Product photography animation (turning a static product shot into a rotating or environmental video)
- Portrait animation with controlled expression and head movement
- Architectural visualization with camera flythrough from a static render
- E-commerce content generation from existing product images
Seedance 2.0 Pro Specifications
| Field | Value |
|---|---|
| Model name | Seedance 2.0 Pro |
| Developer | ByteDance (Seed team) |
| Model family | Seedance 2.0 |
| Generation modes | Text-to-video (T2V), Image-to-video (I2V) |
| Max resolution | Up to 1080p |
| Supported durations | 5 seconds, 10 seconds |
| Frame rate | 24 fps |
| Aspect ratios | 16:9, 9:16, 1:1 |
| API access via WisGate | https://api.wisgate.ai/v1 |
| WisGate model page | https://wisgate.ai/models/doubao-seedance-2 |
Seedance 2.0 Pro vs Seedance 2.0 Lite
The Seedance 2.0 family includes two tiers. Understanding the difference helps developers make the right routing decision for their use case.
| Dimension | Seedance 2.0 Pro | Seedance 2.0 Lite |
|---|---|---|
| Output quality | Higher fidelity, sharper detail | Faster output, adequate for drafts |
| Motion complexity | Handles complex multi-subject, high-motion scenes | Suited for simpler, lower-motion content |
| Prompt adherence | Closer follow on compositional details | Less precise on complex prompts |
| Cost | Higher per-second rate | Lower per-second rate |
| Best use | Production deliverables, client-facing content | Rapid iteration, prototyping, preview generation |
The practical routing pattern for most teams: use Lite for iterating on prompt and composition, switch to Pro for the final render. This keeps exploration costs low while reserving Pro compute budget for confirmed outputs.
API Access via WisGate
WisGate provides API access to Seedance 2.0 Pro via an OpenAI-compatible endpoint, allowing integration without a separate ByteDance API relationship.
Base URL:
https://api.wisgate.ai/v1
Authentication:
Authorization: Bearer $WISDOM_GATE_KEY
Get your API key at wisgate.ai/hall/tokens. One key covers Seedance 2.0 Pro, Seedance 2.0 Lite, and all other models in the WisGate catalog.
Text-to-Video API Call
curl -s -X POST "https://api.wisgate.ai/v1/video/generations" \
-H "Authorization: Bearer $WISDOM_GATE_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "doubao-seedance-2-pro",
"prompt": "A chef plating a dish in a professional kitchen, close-up on hands, warm lighting, cinematic depth of field, slow dolly in",
"duration": 5,
"resolution": "1080p",
"aspect_ratio": "16:9"
}'
Image-to-Video API Call
curl -s -X POST "https://api.wisgate.ai/v1/video/generations" \
-H "Authorization: Bearer $WISDOM_GATE_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "doubao-seedance-2-pro",
"prompt": "Camera slowly pulls back to reveal the full product, soft rotation, white studio background",
"image_url": "https://your-storage.com/product-reference.jpg",
"duration": 5,
"resolution": "1080p",
"aspect_ratio": "1:1"
}'
Note: Confirm the exact request body schema and available parameters at wisgate.ai/models/doubao-seedance-2 before building production integrations — parameter names and supported values may be updated as the API evolves.
API Parameters Reference
| Parameter | Type | Values | Default | Notes |
|---|---|---|---|---|
model | string | "doubao-seedance-2-pro", "doubao-seedance-2-lite" | — | Required |
prompt | string | Any text | — | Required for T2V; optional style/motion override for I2V |
image_url | string | URL to source image | — | Required for I2V mode; omit for T2V |
duration | integer | 5, 10 | 5 | Seconds; longer duration increases cost |
resolution | string | "1080p", "720p" | "1080p" | Confirm available values at model page |
aspect_ratio | string | "16:9", "9:16", "1:1" | "16:9" | Choose based on delivery platform |
Confirm all parameter values from wisgate.ai/models/doubao-seedance-2 before finalizing production configuration.
Pricing
Seedance 2.0 Pro is priced per second of generated video. Confirm current rates at wisgate.ai/models/doubao-seedance-2 and wisgate.ai/pricing before projecting production costs.
Cost Scaling by Volume
| Monthly volume | Duration per video | Total seconds/month | Estimated monthly cost |
|---|---|---|---|
| 100 videos | 5s | 500s | Confirm from pricing page |
| 500 videos | 5s | 2,500s | Confirm from pricing page |
| 1,000 videos | 5s | 5,000s | Confirm from pricing page |
| 1,000 videos | 10s | 10,000s | Confirm from pricing page |
Insert confirmed per-second rates before publishing. The table structure holds — multiply seconds by the confirmed rate to derive the monthly cost at each volume tier.
Pro vs Lite Cost Routing
The cost differential between Pro and Lite makes a draft-then-render workflow economically practical:
- Generate 5–10 prompt variations at Lite pricing during the ideation phase
- Select the strongest output
- Re-render the selected prompt at Pro quality for delivery
Total cost per deliverable: (N draft renders × Lite rate × duration) + (1 final render × Pro rate × duration). At typical iteration ratios (5–8 drafts per deliverable), the blended cost per production-quality video is materially lower than generating all renders at Pro quality.
Prompt Engineering for Seedance 2.0 Pro
Effective prompts for Seedance 2.0 Pro follow a consistent structure. The model responds well to specificity across four dimensions:
1. Subject and Action
Describe the primary subject and what they are doing with enough specificity that the model cannot default to a generic interpretation.
- ❌ Weak: "A person walking"
- ✓ Strong: "A woman in her 30s in a tailored navy blazer walking confidently through a glass-walled office corridor, heels on polished concrete, natural side light from floor-to-ceiling windows"
2. Camera Movement
Specify the camera behavior explicitly. The model supports a wide vocabulary of cinematographic terms.
| Motion type | Example prompt phrase |
|---|---|
| Dolly | "slow dolly in toward subject" |
| Pan | "pan right following subject movement" |
| Aerial | "aerial descent from above the city into street level" |
| Handheld | "handheld follow-shot, slight natural shake" |
| Static | "locked-off wide shot, no camera movement" |
| Zoom | "slow zoom into product detail" |
3. Lighting and Atmosphere
Lighting description significantly affects output tone. Specific lighting terms produce more consistent results than mood-only descriptions.
| Goal | Prompt phrase |
|---|---|
| Warm product shoot | "warm key light from upper left, soft fill, white reflector on right" |
| Cinematic drama | "golden hour backlight, strong rim light, deep shadow on face" |
| Corporate clean | "diffused overhead studio lighting, neutral background, no harsh shadows" |
| Night exterior | "neon-lit street at night, wet pavement reflections, fog in background" |
4. Style Reference
The model accepts visual style descriptors that map to recognizable cinematographic or artistic traditions.
"cinematic, anamorphic lens flare, film grain""documentary style, natural light, handheld""product photography, clean studio, commercial grade""anime style, cel shading, vibrant colors""architectural visualization, photorealistic, high detail"
Common Use Cases and Workflow Patterns
E-Commerce Product Video
Pattern: Image-to-video from static product photography
One of the most cost-effective applications for Seedance 2.0 Pro. The workflow:
- Source high-quality product images (already available for most e-commerce catalogs)
- Write a motion prompt describing a clean product reveal (rotation, push-in, hero shot pan)
- Submit as I2V call with
aspect_ratio: "1:1"or"16:9"based on platform target - Output clips at 5s for social media platforms; 10s for product detail pages
Prompt example: "Product slowly rotates 180 degrees on a clean white platform, soft studio light, subtle lens flare at midpoint, camera holds steady"
Social Media Content at Scale
Pattern: Text-to-video batch generation for multiple topics
For teams generating daily or weekly content across multiple social channels:
- Maintain a prompt template per content category (news commentary, tutorial teaser, brand moment)
- Swap subject-specific details per content piece
- Route to
9:16aspect ratio for Stories/Reels,16:9for YouTube - Generate at Lite for preview, Pro for publishing
Cost control: apply a quality gate at the Lite preview stage. Only content that passes internal review proceeds to the Pro render. This avoids Pro-tier spend on prompts that need revision.
Architectural and Real Estate Visualization
Pattern: Image-to-video from renders or photographs
Static architectural renders become walkthrough videos:
- Submit the render as the reference image
- Prompt:
"Camera slowly approaches the building entrance, aerial descent, then pushes through the front door, smooth continuous motion, golden hour lighting" - Use 10s duration for fuller walkthroughs; 5s for highlight clips
This workflow generates client-presentation-ready video from assets that already exist in the production pipeline, without additional 3D animation work.
Marketing Campaign Video
Pattern: Text-to-video from creative briefs
For marketing teams with detailed creative briefs:
- Translate the brief's visual direction into a structured Seedance prompt (subject, camera, light, style)
- Generate 5–8 variations at Lite tier for creative review
- Present variations to client or internal stakeholder
- Re-render selected direction at Pro quality for final delivery
The iteration-then-render workflow keeps the cost of the creative exploration phase proportional to the volume of concepts reviewed, not the final production tier.
Integration with Multi-Model Pipelines
Seedance 2.0 Pro integrates naturally into pipelines that combine text generation and image/video generation under a single WisGate API key.
Example pipeline: AI-generated product campaign
| Step | Model | Task | WisGate endpoint |
|---|---|---|---|
| 1 | claude-sonnet-4-5 | Generate product description and video brief from product specs | OpenAI-compatible |
| 2 | gemini-3.1-flash-image-preview (Nano Banana 2) | Generate product thumbnail image at $0.058/image | Gemini-native |
| 3 | doubao-seedance-2-pro | Animate product image into 5s hero video | OpenAI-compatible |
| 4 | claude-haiku-4-5-20251001 | Generate social media captions for each platform | OpenAI-compatible |
The full campaign pipeline — product description, hero image, hero video, and platform captions — runs under one WisGate key across four models. No secondary vendor relationships required for any step.
Access and Getting Started
Step 1 — Generate your WisGate API key
Go to wisgate.ai/hall/tokens. The same key covers Seedance 2.0 Pro, Seedance 2.0 Lite, Claude text models, and Nano Banana 2 image generation.
Step 2 — Review the model page
Full parameter documentation, current pricing, and any recent updates are at wisgate.ai/models/doubao-seedance-2. Read this before building production integrations — confirm parameter names and supported values against the live documentation.
Step 3 — Test in AI Studio
WisGate AI Studio at wisgate.ai/studio/image provides a no-code interface for testing prompts before writing integration code. Use it to validate prompt structure and output quality against your specific content type before committing to a production API call pattern.
Step 4 — Run a validation call
Before integrating into a production pipeline, run a single API call with a representative prompt and verify:
- Output resolution matches expectation
- Motion quality is appropriate for the use case
- Aspect ratio aligns with the delivery platform
Use the T2V or I2V curl examples in the API Access section above as the starting point.
Frequently Asked Questions
Does Seedance 2.0 Pro support audio generation? Video generation at this tier produces visual output only — no native audio track is included. For content requiring audio, the video output can be post-processed with a separate audio generation or sync step outside the API.
What is the maximum video length? The current supported durations are 5 seconds and 10 seconds per call. For longer clips, generate sequential segments and stitch them in post-production. Confirm available duration options at wisgate.ai/models/doubao-seedance-2 as this may be updated.
How does image-to-video quality compare to text-to-video? I2V and T2V use the same underlying model and quality tier. I2V output is constrained by the quality and composition of the reference image — a low-resolution or poorly composed reference image will limit the output fidelity regardless of model tier.
Can the same WisGate key be used for Seedance 2.0 Lite and Pro? Yes. One WisGate API key covers both tiers. The model tier is selected by the model parameter in the API call: "doubao-seedance-2-pro" for Pro, "doubao-seedance-2-lite" for Lite.
Is WisGate API access to Seedance 2.0 Pro the same as direct ByteDance API access? WisGate routes requests to the same underlying model. The API interface is OpenAI-compatible, which differs from the native ByteDance endpoint format. Functionality and output quality are equivalent; the integration pattern differs.
Summary: Seedance 2.0 Pro Model Card
| Field | Value |
|---|---|
| Model ID (WisGate) | doubao-seedance-2-pro |
| Generation modes | Text-to-video, Image-to-video |
| Output resolution | Up to 1080p |
| Durations | 5s, 10s |
| Aspect ratios | 16:9, 9:16, 1:1 |
| Frame rate | 24 fps |
| API base URL | https://api.wisgate.ai/v1 |
| Auth header | Authorization: Bearer $WISDOM_GATE_KEY |
| Key generation | wisgate.ai/hall/tokens |
| Pricing | Confirm at wisgate.ai/pricing |
| Full documentation | wisgate.ai/models/doubao-seedance-2 |
Seedance 2.0 Pro delivers production-grade video generation quality for T2V and I2V workflows. For teams building video automation pipelines, the draft-on-Lite, render-on-Pro workflow pattern keeps per-deliverable cost in check while maintaining output quality on final assets.
Generate your WisGate API key at wisgate.ai/hall/tokens and run the first API call against the examples in this guide. The AI Studio at wisgate.ai/studio/image provides a prompt testing environment before the integration work begins.