Seedance V2

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

1. RunComfy CLI — npm i -g @runcomfy/cli
2. RunComfy account — runcomfy login opens a browser device-code flow.
3. CI / containers — set RUNCOMFY_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, "}' \ --output-dir

**Lip-synced ad with character reference (image-stable, text-evolves):**

```bash
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_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 2 GiB to prevent disk-fill from a malicious or runaway model output.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: agentspace-so
• Source: agentspace-so/runcomfy-agent-skills
• License: MIT
• Homepage: https://www.runcomfy.com

Install and usage instructions live in the source repository linked above.