Seedance 2.0 + OpenClaw
Seedance 2.0 is ByteDance's latest AI video generation model — up to 2K resolution, phoneme-level lip sync in 8+ languages, and multi-modal input. OpenClaw is a browser automation agent framework. Combined, they enable fully automated video production pipelines: from prompt to publish, zero manual intervention.
Why This Combination Matters
Seedance 2.0 can generate cinema-grade video from text prompts. But generating one video isn't the hard part — the hard part is orchestrating dozens of generations, managing prompts, handling failures, downloading results, and publishing to platforms. That's exactly what OpenClaw agents do.
What Seedance 2.0 Brings to the Table
2K Cinematic Video
Up to 2K resolution, 4-15 seconds per clip, with physics-accurate motion and lighting.
Multi-Modal Input
Combine up to 9 images, 3 videos, and 3 audio clips in a single generation request.
8+ Language Lip Sync
Phoneme-level audio-visual synchronization. Generate talking-head videos in any major language.
What OpenClaw Adds
Autonomous Execution
The agent handles the entire workflow — prompt engineering, API calls, polling, error retries — without human input.
Pipeline Orchestration
Chain multiple steps: generate script → create storyboard → render video → add subtitles → publish.
Cost Control
Use ClawKit Cost Estimator to predict API spend before launching a batch of 100+ video generations.
Architecture: How It Works
The integration follows a standard agent-tool pattern. OpenClaw's agent loop calls Seedance 2.0 via its API (or MCP bridge), polls for completion, and feeds results back into the next step.
Integration Method 1: Seedance API via MCP Skill
The cleanest approach. Wrap the Seedance 2.0 API as an MCP Skill that any OpenClaw agent can invoke natively.
{
"name": "seedance-generate",
"description": "Generate a video clip using Seedance 2.0 from a text prompt",
"inputSchema": {
"type": "object",
"properties": {
"prompt": {
"type": "string",
"description": "Text description of the video to generate"
},
"aspect_ratio": {
"type": "string",
"enum": ["16:9", "9:16", "1:1", "3:4"],
"default": "16:9"
},
"duration": {
"type": "integer",
"description": "Duration in seconds (4-15)",
"minimum": 4,
"maximum": 15
},
"reference_images": {
"type": "array",
"items": { "type": "string" },
"description": "URLs of reference images (max 9)"
}
},
"required": ["prompt"]
}
}Once registered, the agent can call it like any other tool:
seedance-generate({
prompt: "A sleek robot arm assembling a circuit board, cinematic lighting, macro lens",
aspect_ratio: "16:9",
duration: 10
})
// → Returns: { task_id: "xxx", status: "processing", eta: 60 }Integration Method 2: Browser Automation
If API access isn't available or you prefer the web UI, OpenClaw can drive the Seedance interface directly through browser automation — navigating the web app, entering prompts, and downloading results.
{
"mission": "Go to jimeng.jianying.com, generate a video with the prompt:
'A cat walking on the Great Wall at sunset, cinematic 4K',
wait for generation to complete, and download the result to ./output/",
"maxSteps": 20,
"browser": { "headless": true }
}API vs Browser: When to Use Which
Use the API for production batch workflows — it's faster, more reliable, and supports programmatic error handling. Use browser automation for prototyping, one-off tasks, or when the API doesn't support a specific UI-only feature.
Real-World Use Cases
E-commerce teams can generate hundreds of short product videos from a CSV of product descriptions. The agent reads each row, crafts a Seedance prompt, generates the video, and organizes outputs by SKU.
Create the same ad in 8 languages. The agent generates a script per language, renders a lip-synced talking-head video with Seedance's phoneme sync, and outputs region-specific versions.
Feed the agent a storyboard document. It decomposes each scene into Seedance prompts, generates clips with consistent style references, and concatenates the final video.
Cost Estimation
Seedance 2.0 charges per generation. Use ClawKit Cost Estimator to predict your spend before launching a batch.
| Mode | Credits | Batch of 100 |
|---|---|---|
| Text-to-Video (5s, fast) | 50 credits | 5,000 credits |
| Image-to-Video (5s, fast) | 100 credits | 10,000 credits |
| Video-to-Video (5s, standard) | 200 credits | 20,000 credits |
| OpenClaw Agent Overhead | ~$0.02/step | ~$2-5 total |
Cost tip: The OpenClaw agent itself costs very little (a few cents per run with DeepSeek). The bulk of the cost is Seedance API credits. Use shorter durations (4-5s) and text-only prompts to minimize spend during prototyping.
Quick Start
Get Seedance API Access
Sign up at the Seedance developer portal or use a third-party API aggregator. Save your API key.
Install the MCP Skill
Add the Seedance MCP Skill to your OpenClaw configuration. Point it at the Seedance API endpoint with your key.
Configure Your Agent
Set up your clawhub.json with the Seedance Skill registered, maxSteps limit, and output directory.
Launch the Mission
Give the agent a mission like "Generate 5 product videos from descriptions.csv" and let it run.
Tips & Best Practices
Set Polling Intervals
Seedance takes ~60s per clip. Poll every 10-15s to avoid wasting agent steps.
Respect Copyright
Avoid prompts that reference copyrighted characters or IP. Seedance has content filters, but responsible use is on you.
Use Reference Images
For consistent style across a batch, pass the same reference image to every generation. Use @image_file_1 syntax.
Parallel Generation
Submit all tasks upfront, then poll in batches. Don't wait for each video to finish before starting the next.
Ready to Automate Your Video Pipeline?
Start with the Config Wizard to set up your OpenClaw environment, then add the Seedance MCP Skill to unlock automated video generation.