Seedance V2
Video & media442.3K installs
What it does
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…
Install
npx skills add https://github.com/prime-skills/runcomfy-agent-skills --skill seedance-v2Website
www.skills.sh/prime-skills/runcomfy-agent-skills/seedance-v2Details
From the skill’s SKILL.md or README, by its authors. View the original
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=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": ""}' \
--output-dir
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
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
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.
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