‹ 首页

seedance-v2

@agentspace-so · 收录于 1 周前 · 上游提交 2 个月前

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.

适合你,如果你需要生成带多模态参考和同步音频的电影级短视频。

/ 下载安装
seedance-v2.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add agentspace-so/runcomfy-agent-skills/seedance-v2
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- agentspace-so/runcomfy-agent-skills/seedance-v2
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify agentspace-so/runcomfy-agent-skills/seedance-v2
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
31GitHub stars
~2K上下文体积 · 单文件
镜像托管

怎么用

商店整理自技能原文 · 版本 fca19ae · 表述以原文为准
它做什么

Claude 会调用 RunComfy 的 Seedance 2.0 Pro 模型生成 4-15 秒的短视频,支持图片、视频、音频作为参考,并自动生成带口型的配音。

什么时候触发

当用户提到“seedance”、“seedance 2”、“bytedance video”等关键词,或明确要求用该模型生成视频时触发。

装好后可以这样说
Claude 会使用默认参数生成视频。
技能原文 SKILL.md作者撰写 · MIT · fca19ae

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 CLInpm i -g @runcomfy/cli
  2. RunComfy accountruncomfy login opens a browser device-code flow.
  3. 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.
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

评论

登录即可评论;带「已验证安装」的,是发布者名下有本店的安装或持有记录。