🐳 dsh-video-studio (Whale) — AI Video & Motion-Comic Studio for DeepSeek Harness

A DeepSeek Harness native plugin for AI video and motion-comic (漫剧) production: six-stage director pipeline × multi-provider free-quota scheduling × four-layer prompt engineering with self-optimization. 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.

Pipeline — the industry-standard seven-stage workflow

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)

• The first three stages are LLM stages: inside DSH the session model itself does them — the model you're chatting with (Doubao, DeepSeek, whatever) is the brain that writes the story, script and shots; the plugin never calls an external LLM.

Mapping to the industry-standard toolchain:

• 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)

• Quota scheduler: multi-account free-quota rotation, quality-aware fallback, per-day caps, full audit

• 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

• Prompt self-optimization: A/B → frame scoring → promote (≥4) / retry (≤2) templates

Providers (verified matrix)

Editing & distribution

• ffmpeg auto-render — verified end-to-end (synthetic clips → timeline → burned subtitles → audio mix → final mp4, duration-checked)
• JianYing (剪映) draft export — editable tracks/keyframes/subtitles for manual polish; structure-validated
• say TTS — real Chinese voiceover with zero API keys
• Distribution pack — platform specs + compliance precheck for 4 Chinese platforms

DSH integration (deep invocation)

• Model tools: whale_storyboard (offline shot planning), whale_generate_video (provider routing with honest error surfacing), whale_quality_review (rule-level QC; LLM frame review planned)
• Host plugin: /dsh-video-studio/health route; installs via dsh plugin add, boot-verified clean
• Planned: slash commands, subagent-parallel shots, workbench UI, style-genome wiring

Verification discipline

43 unit tests green (quota routing, prompt merging, jianying draft structure, ffmpeg end-to-end render, provider protocols via mock servers, live jimeng model probe, live wanx image generation). Test logs and proof artifacts live in demos/.

Install

dsh plugin --profile web add github:hackerFish/dsh-video-studio --ignore-workspace-root-check
# or npm once published

Honesty notes

Model output quality is bounded by the vendor model; the pipeline maximizes it (consistency tokens, QC retry loop planned). sessionid/cookie usage is per-platform ToS — respect each platform's terms. Not affiliated with DeepSeek.

License

MIT