@hackerfish/dsh-video-studio
鲸影 DSH Video Studio：DSH 原生视频/漫剧生成插件（七段导演流水线 × 多账号额度池 × 提示词自优化 × 自我审计）
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:hackerFish/dsh-video-studio#d326732fd11c02a26d1712f6ede62bf6f4b69a4f
Video Studio 以 @hackerfish/dsh-video-studio 发布，当前版本为 0.2.0。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
A DeepSeek Harness native plugin for AI video and motion-comic (漫剧) production: seven-stage director pipeline × multi-account quota pool with failure fallback × credential vault × four-layer prompt engineering with a score-feedback loop. Quality first, cost second.
中文 · Siblings: dsh-lab · awesome-dsh-skills · awesome-dsh-presets
The DSH ecosystem has 1000+ plugins — none does generative video. Whale brings the industry-validated motion-comic pipeline (waoowaoo / LumenX / MangaV / ArcReel pattern) into DSH as a hot-pluggable, per-step-controllable plugin.
Live demo — real AI-generated video (wan2.2-t2v-plus, DashScope, 1080p 5s):
story (LLM, e.g. Doubao writes the novel) → script (LLM breaks it down)
→ storyboard (LLM shot list) → master asset (MJ-style hero image)
→ shot assets (image-model variations for consistency) → video (Seedance/Jimeng/Kling)
→ final cut (JianYing draft export / local ffmpeg render)
Mapping to the industry-standard toolchain:
| Industry flow | Whale |
|---|---|
| Doubao writes novel / script / shots | = DSH session model doing story/script/storyboard (pick a Doubao model and it IS "Doubao writes") |
| MJ hero asset | = master-asset stage (MJ official API adapter to come; wanx/Seedream can substitute) |
| image variations | = shot-assets stage (wanx ✅ verified · Doubao Seedream ✅ wired) |
| Seedance video | = video stage (Doubao Seedance ✅ / jimeng / kling / ComfyUI) |
| JianYing final cut | = final-cut stage (JianYing draft export ✅ / ffmpeg ✅) |
Every stage has a gate: auto / ask / manual.
Parallel shots, quota scheduler, style genome, distribution pack as before.
Consistency asset library: character/scene master assets + per-shot variations with automatic reference-image injection into prompts (the motion-comic standard technique)
Parallel shots: batch submit → concurrent polling (configurable concurrency)
Account pool (quota scheduler): multi-account rotation per provider, per-day caps, exponential backoff on failure, automatic fallback re-submit to the next healthy account mid-pipeline, full audit trail
Credential vault: ~/.whale/whale.json (0600, atomic writes, follows $DSH_HOME), masked API responses, account management UI in the plugin settings (鲸影账号 tab)
Runtime account wiring: accounts added in the UI feed straight into whale_generate_video — vault → pool pick (rotation/backoff) → per-account provider binding (src/host/account-providers.ts, single-field credentials as plain strings, multi-field as JSON) → usage/health persisted back to the vault
Style genome (memory): style DNA, shot-template scoring evolution, retry feedback — persists across sessions
Prompt engineering: parameterized professional template library (character sheet / scene master / single shot) + composable quality boosters (8K / clean bg / neutral face / no text …) + optimizer; whale_optimize_prompt upgrades drafts to pro-grade prompts locally
Score-feedback loop (评分回写): every reviewed shot writes its score + booster combo back to the scorebook; the optimizer then picks boosters by real historical performance
Preset motion-comic pack: 5 genres (city comeback / xianxia / suspense / sweet romance / sci-fi) with bilingual character cards, scene cards and shot scripts — whale_story_presets turns one preset id into a pipeline-ready script, scripts/demo-presets.ts runs it end-to-end with the mock provider (zero keys)
Self-analysis (自我审计): whale_self_audit tool + npm run self-audit scan the repo itself — source modules, test counts, provider matrix, capability inventory and a gap list — and write a generated report to docs/AUDIT-REPORT.md; the daily diff of that file IS the progress log. Session lessons are distilled into
| Provider | Channel | Status |
|---|---|---|
| jimeng (即梦) | sessionid, free daily quota | ✅ protocol verified end-to-end; text-to-video queue stays SystemBusy even off-peak (0 credits consumed) — free route is now: wanx images → image-to-video |
| tongyi-wanx (通义万相) | cookie+xsrf, free credits | ✅ live-verified: real whale image generated & downloaded (free tier = text-to-image; video needs membership) |
| kling official (可灵) | accessKey:secretKey JWT, api-beijing.klingai.com | ✅ adapter written — not yet tested against a real key |
| kling via DashScope | sk- key | ✅ adapter written — not yet tested against a real key |
| kling-lipsync (可灵对口型) | official JWT, /v1/videos/lip-sync | ✅ adapter written against the official 3-13 contract (audio2video + text2video voice modes), 8 tests — not yet tested against a real key |
| wan video via DashScope (通义万相视频) | sk- key | ✅ LIVE-VERIFIED: real whale video generated (wan2.2-t2v-plus, 1920×1080 5s, ~90s turnaround) — ⚠️ metered at ¥0.70/s (1080p), NOT free quota; demos/dashscope-wan-live.mp4 |
| doubao (火山方舟) | ARK API key | ✅ Seedance video + Seedream image (assets) — not yet tested against a real key |
| doubao-web (豆包网页版) | cookie, free web quota | ✅ live-replayed & parsed: SSE chat for the LLM stages (story/script/shots) + image bot for assets. Pro-tier free quota runs on a 7-day window (image bot pauses when spent; text keeps working) |
| ComfyUI local | workflow JSON builder + /prompt protocol | ✅ protocol-tested (mock server), real GPU pending |
| kling web (sessionid) | anti-bot one-time falcon token | 📄 anatomy documented; automation needs a capture bridge (deferred) |
capabilities.lipSync provider configured, every voiced shot runs audio-driven lip sync (video reference + audio base64) and the synced clip replaces the original on the timeline; failure falls back to the original clip, never blocking the render. Shots can also carry a pre-recorded voiceFile (external TTS/voice actor) that skips local TTSsay; Windows PowerShell SAPI (System.Speech, needs a Chinese voice pack). Any platform can also plug external audio per shot via voiceFilewhale_story_presets (5-genre content pack → pipeline script), whale_storyboard (offline shot planning), whale_generate_video (provider routing), whale_optimize_prompt (pro-grade prompt upgrade), whale_quality_review (rule-level QC), whale_comfyui_workflow (ComfyUI workflow JSON), whale_self_audit (project self-analysis)/dsh-video-studio/health, /dsh-video-studio/runs, /dsh-video-studio/accounts (GET list masked / POST add / DELETE remove)whale_generate_video gets a dedicated video card viewdsh plugin add, boot-verified clean123 unit tests green (account pool rotation/backoff/fallback, credential vault, runtime account→provider wiring, quota routing, prompt merging, score-feedback loop, lip-sync stage incl. fallback, Windows SAPI script + CJK font candidates, jianying draft structure, ffmpeg end-to-end render, provider protocols via mock servers incl. kling lip-sync, preset pack integrity, self-audit, live jimeng model probe, live wanx image generation). Test logs and proof artifacts live in demos/. The provider matrix lives in src/selfaudit/matrix.ts (single source of truth shared by the health route, the vault whitelist and the audit report).
dsh plugin --profile web add github:hackerFish/dsh-video-studio --ignore-workspace-root-check
# or npm once published
Model output quality is bounded by the vendor model; the pipeline maximizes it (consistency tokens, QC retry loop, score-feedback booster selection). sessionid/cookie usage is per-platform ToS — respect each platform's terms. Credentials live only in the local vault file and are never logged or returned unmasked. Not affiliated with DeepSeek.