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=

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": ""}'

\

--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.