ClawHub

douyin-guoxue-volcengine-pipeline

Workflows

Automate creation and publishing of 3-shot 9:16 Chinese metaphysics short videos on Douyin with Volcengine visuals, Edge TTS, ffmpeg, and backend verification.

Install

openclaw skills install douyin-guoxue-volcengine-pipeline

douyin-guoxue-volcengine-pipeline

Use this skill to run a production-tested Douyin guoxue pipeline.

Core workflow

  1. Load Volcengine env from C:\Users\Lenovo\.openclaw\workspace\.volcengine_config
  2. Generate 3 vertical keyframes with volcengine-image-studio
  3. Turn each keyframe into a 5s motion shot with volcengine-video-studio
  4. Stitch 3 shots into a ~15s vertical cut with ffmpeg
  5. Generate Chinese voiceover with edge-tts
  6. Mix voice + BGM + subtitles
  7. Publish through skills/douyin-publisher/scripts/publish.py
  8. Verify in Douyin creator backend after publish

Hard rules

  • Do not use a single still image as the full video when the user wants a stronger result
  • Prefer 3 shots; use about 3-5s per shot
  • Always keep output 9:16 vertical
  • Always do a backend verification after publish; do not trust script success text alone
  • When publishing AI-generated work, use the publish flow that goes through:
    • 发文助手
    • 自主声明
    • 添加声明
    • 内容由AI生成

Current validated local components

  • Volcengine image script: skills/volcengine-image-studio/scripts/generate_image.py
  • Volcengine video script: skills/volcengine-video-studio/scripts/generate_video.py
  • Douyin publish script: skills/douyin-publisher/scripts/publish.py
  • Volcengine env file: .volcengine_config
  • Typical BGM asset: generated/guoxue-douyin/final-cuts/guofeng-lite-bgm.wav

Fast execution pattern

1. Load config into current process

PowerShell:

$cfg = Get-Content .\.volcengine_config
foreach($line in $cfg){ if($line -match '^\s*([A-Z0-9_]+)=(.*)$'){ [Environment]::SetEnvironmentVariable($matches[1], $matches[2], 'Process') } }
[Environment]::SetEnvironmentVariable('VOLCENGINE_VIDEO_MODEL','doubao-seedance-1-0-pro-fast-251015','Process')

2. Generate 3 keyframes

Use thematic prompts for shot 1 / shot 2 / shot 3. Keep style consistent:

  • Song-dynasty aesthetics
  • Eastern negative space
  • cinematic light
  • no cartoon
  • no modern city unless requested

3. Generate 3 motion shots

For each generated keyframe:

py -3.11 .\skills\volcengine-video-studio\scripts\generate_video.py "<motion prompt>" --image <cover> --ratio 9:16 --duration 5 --download-dir <dir>

4. Voiceover

edge-tts --voice zh-CN-XiaoxiaoNeural --file <script.txt> --write-media <voice.mp3>

Recommended voices:

  • zh-CN-XiaoxiaoNeural — warm / calm / female
  • zh-CN-YunxiNeural — male / composed / explanatory

5. Final assembly

Use ffmpeg to:

  • trim each shot to ~4.8-4.9s
  • concat 3 shots
  • burn title / line subtitles
  • mix voice + low-volume BGM

6. Publish and verify

Publish with py -3.11 skills/douyin-publisher/scripts/publish.py ...

Then must open creator manage page and confirm the new item appears in the list.

Suggested directory pattern

Store runs under:

generated/guoxue-douyin/<theme>-volcengine/

Example themes:

  • qian-gua-volcengine
  • kun-gua-volcengine
  • tai-gua-volcengine

Read next when needed

  • For prompt structure and reusable shot patterns, read references/prompt-patterns.md
  • For publishing / verification / AI declaration notes, read references/publish-notes.md
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