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This skill provides an interface to the Seedance 2.0 Pro video generation model via the RunComfy CLI. It involves installing a global npm package, managing API credentials using standard practices, and executing local shell commands. It correctly identifies the risk of indirect prompt injection through multi-modal inputs.

Audited: 7/13/2026, 4:10:50 AM

Socket

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No alerts

Audited: 7/13/2026, 4:11:04 AM

Snyk

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Risk: LOW · No issues

Audited: 7/13/2026, 4:11:14 AM

Промпт скилла

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 login opens a browser device-code flow.
CI / containers — set RUNCOMFY_TOKEN=<token> instead of runcomfy 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_url instead.
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 login writes the API token to ~/.config/runcomfy/token.json with mode 0600 (owner-only read/write). Set RUNCOMFY_TOKEN env 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.

Установить скилл

Аудит безопасности

Gen Agent Trust Hub

Socket

Snyk

Промпт скилла

Seedance 2.0 Pro — Pro Pack on RunComfy

When to pick this model (vs siblings)

Prerequisites

Endpoints + input schema

bytedance/seedance-v2/pro

How to invoke

Prompting — what actually works

Where it shines

Sample prompts (verified to produce strong results)

Limitations

Exit codes

How it works

Security & Privacy

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`bytedance/seedance-v2/pro`