
seedance-v2
Generate cinematic short-form video with ByteDance Seedance 2.0 Pro on RunComfy. Documents Seedance 2.0 Pro's strengths (multi-modal references — up to 9 images, 3 videos, 3 audio — synchronized in-pass audio with natural lip-sync, cinematic motion refinement), the 4–15s duration schema, and when to route to HappyHorse 1.0 / Wan 2.7 / Kling instead. Calls runcomfy run bytedance/seedance-v2/pro through the local RunComfy CLI. Triggers on "seedance", "seedance 2", "seedance v2", "seedance pro", "bytedance video", or any explicit ask to generate video with this model.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/prime-skills/runcomfy-agent-skills --skill seedance-v2- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads seedance-v2 automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Seedance 2.0 Pro — Pro Pack on RunComfy
runcomfy.com · Seedance 2.0 Pro · GitHub
ByteDance Seedance 2.0 Pro — multimodal cinematic video generator with native lip-synced audio — hosted on the RunComfy Model API.
npx skills add agentspace-so/runcomfy-skills --skill seedance-v2 -g
When to pick this model (vs siblings)
Seedance 2.0 Pro's distinct strength is multi-modal cinematic short-form: combine character images + scene videos + reference audio into one coherent shot. Pick it when fidelity to a reference identity / scene matters and you want native lip-sync.
| You want | Use |
|---|---|
| Lip-synced spokesperson / dialogue ad | Seedance 2.0 Pro |
| Multi-modal references (image + video + audio) | Seedance 2.0 Pro |
| Brand-consistent multi-language narrative | Seedance 2.0 Pro |
| Currently-#1 blind-vote video quality | HappyHorse 1.0 |
| Audio-driven lip-sync from your own track | Wan 2.7 (audio_url) |
| Motion editing on existing footage | Kling Video O1 |
| Ultra-fast iteration | LTX 2 |
If the user said "Seedance" / "Seedance 2" / "ByteDance video" explicitly, route here regardless.
Prerequisites
- RunComfy CLI —
npm i -g @runcomfy/cli - RunComfy account —
runcomfy loginopens a browser device-code flow. - CI / containers — set
RUNCOMFY_TOKEN=<token>instead ofruncomfy login.
Endpoints + input schema
bytedance/seedance-v2/pro
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
prompt | string | yes | — | CN ≤ 500 chars OR EN ≤ 1000 words. |
image_url | array | no | [] | 0–9 references (JPEG/PNG/WebP/BMP/TIFF/GIF). |
video_url | array | no | [] | 0–3 clips (MP4/MOV), 2–15s each. |
audio_url | array | no | [] | 0–3 audio refs (WAV/MP3), 2–15s, < 15MB each. |
aspect_ratio | enum | no | adaptive | adaptive, 16:9, 9:16, 4:3, 3:4, 1:1, 21:9. |
duration | int | no | 5 | 4–15 (whole seconds). |
resolution | enum | no | 720p | 480p or 720p. |
generate_audio | bool | no | true | In-pass synchronized speech / SFX / music. |
seed | int | no | — | Reproducibility. |
How to invoke
Default (text only, 5s, 720p with audio):
runcomfy run bytedance/seedance-v2/pro \
--input '{"prompt": "<user prompt>"}' \
--output-dir <absolute/path>
Lip-synced ad with character reference (image-stable, text-evolves):
runcomfy run bytedance/seedance-v2/pro \
--input '{
"prompt": "Medium close-up. The woman explains today'\''s special in a warm friendly tone, slow push-in, soft window light, gentle cafe ambience.",
"image_url": ["https://.../barista-headshot.jpg"],
"duration": 8,
"aspect_ratio": "9:16"
}' \
--output-dir <absolute/path>
Multi-modal (image + video + audio refs):
runcomfy run bytedance/seedance-v2/pro \
--input '{
"prompt": "Subject from image 1 walks through the café from video 1, voice tone matches audio 1.",
"image_url": ["https://.../subject.jpg"],
"video_url": ["https://.../cafe-locked-shot.mp4"],
"audio_url": ["https://.../voice-ref.mp3"]
}' \
--output-dir <absolute/path>
The CLI submits, polls, fetches the result, downloads *.runcomfy.net/*.runcomfy.com URLs into --output-dir.
Prompting — what actually works
Image vs text division. This is the single most important rule. Stable identity (face, costume, brand mark, logo) → put in image_url. Evolving narrative (action, mood, lighting, camera) → put in prompt. Trying to verbally describe a face in detail wastes tokens and produces drift.
Camera + motion in plain language. "Medium close-up", "slow push-in", "handheld follow", "locked-off wide" all work as directives. Combine: "Medium close-up. Slow push-in over 3 seconds. Handheld, slight breathing motion."
Audio direction with generate_audio: true — say the tone: "warm friendly conversational", "calm instructional", "crisp newsroom delivery". For ambient: "gentle cafe chatter, distant traffic, no foreground music".
Reference media specs — videos must be 2–15s; audio must be ≤15MB and 2–15s. Out-of-range files reject. Match aspect ratio of refs to your output to avoid crops.
Anti-patterns:
- Mixing radically different aesthetic refs (watercolor + photoreal) → confuses.
- Conflicting style cues in prompt → simplify by removing contradictions.
- Trying to describe stable identity verbally → use
image_urlinstead. - Asking for >15s clips → 422; segment into multiple calls.
Where it shines
| Use case | Why Seedance 2.0 Pro |
|---|---|
| Spokesperson / dialogue ads | Native in-pass lip-sync, no separate TTS step |
| Brand-consistent multi-language narratives | Image refs hold identity; text drives translation |
| Cinematic short-form film previs | Camera-shot grammar + multi-modal refs |
| Ad creatives with reference music / VO tone | Audio refs guide voice / mood without locking lip-sync |
| Reproducible variant testing | Seed control + fixed schema |
Sample prompts (verified to produce strong results)
Default playground example:
Golden hour on a quiet cafe terrace: a barista wipes the counter, then
looks up and explains today's special in a friendly tone, natural
lip-sync. Medium close-up, slow push-in; warm side light, soft bokeh
through glass, gentle cafe ambience and subtle film grain.
Multi-modal lip-sync (text + image):
Same person as image 1 in a softly-lit recording booth, leaning into
the mic, says: "We just shipped the biggest update of the year."
Calm conversational tone. Medium close-up, locked tripod, shallow DOF,
warm key light from camera-left.
Limitations
- Duration 4–15s — no longer clips on this endpoint.
- Resolution ceiling 720p on the playground variant.
- Reference media specs — videos / audio must be 2–15s; audio < 15MB.
- Lip-sync quality — depends on prompt clarity; not guaranteed perfect under all conditions.
- No
@-syntax for character binding — relies on image refs + prompt alignment.
Exit codes
| code | meaning |
|---|---|
| 0 | success |
| 64 | bad CLI args |
| 65 | bad input JSON / schema mismatch |
| 69 | upstream 5xx |
| 75 | retryable: timeout / 429 |
| 77 | not signed in or token rejected |
Full reference: docs.runcomfy.com/cli/troubleshooting.
How it works
The skill invokes runcomfy run bytedance/seedance-v2/pro with a JSON body matching the schema. The CLI POSTs to https://model-api.runcomfy.net/v1/models/bytedance/seedance-v2/pro, polls the request, fetches the result, and downloads any .runcomfy.net/.runcomfy.com URL into --output-dir. Ctrl-C cancels the remote request before exit.
Security & Privacy
- Token storage:
runcomfy loginwrites the API token to~/.config/runcomfy/token.jsonwith mode 0600 (owner-only read/write). SetRUNCOMFY_TOKENenv var to bypass the file entirely in CI / containers. - Input boundary: the user prompt is passed as a JSON string to the CLI via
--input. The CLI does NOT shell-expand the prompt; it transmits the JSON body directly to the Model API over HTTPS. No shell injection surface from prompt content. - Third-party content: image / mask / video URLs you pass are fetched by the RunComfy model server, not by the CLI on your machine. Treat external URLs as untrusted; image-based prompt injection is a known risk for any image-edit / video-edit model.
- Outbound endpoints: only
model-api.runcomfy.net(request submission) and*.runcomfy.net/*.runcomfy.com(download whitelist for generated outputs). No telemetry, no callbacks. - Generated-file size cap: the CLI aborts any single download > 2 GiB to prevent disk-fill from a malicious or runaway model output.
FAQ
What does the seedance-v2 skill do?
Generate cinematic short-form video with ByteDance Seedance 2.0 Pro on RunComfy. Documents Seedance 2.0 Pro's strengths (multi-modal references — up to 9 images, 3 videos, 3 audio — synchronized in-pass audio with natural lip-sync, cinematic motion refinement), the 4–15s duration schema, and when to route to HappyHorse 1.0 / Wan 2.7 / Kling instead. Calls runcomfy run bytedance/seedance-v2/pro through the local RunComfy CLI. Triggers on "seedance", "seedance 2", "seedance v2", "seedance pro", "bytedance video", or any explicit ask to generate video with this model.
How do I install seedance-v2?
Run npx skills add https://github.com/prime-skills/runcomfy-agent-skills --skill seedance-v2 in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/seedance-v2/ (personal) or .claude/skills/seedance-v2/ (project).
Which AI agents can use seedance-v2?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is seedance-v2 safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains seedance-v2?
It is published by prime-skills in prime-skills/runcomfy-agent-skills. It has 436,742 recorded installs.
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