ai-videolisted

# AI video — generation, any kind An end-to-end AI video skill: prompt craft → first-frame stills → generation across six models → voiceover → edit/stitch → upscale, with a quality-control loop that makes the skill improve over time. The ByteDance Seedance 2.0 schema is the **canonical interchange format** — jobs are authored against it and the runner translates to whichever model fits. Treat every clip as a miniature production brief, not an image caption. ## Full pipeline Not every job needs every stage — a single clip is just stages 2–4 — but this is the shape of a complete video: 1. **Still** (`scripts/imagegen.py`) — generate a first-frame image or character reference plate (Flux / Imagen). Skip for pure text-to-video. 2. **Prompt** — build the request with the 5-part structure (Workflow below). 3. **Validate + generate** (`validate.py` → `generate.py`) — run on the auto-routed model; local refs auto-upload. 4. **QC + learn** (`review.py` → `LESSONS.md`) — watch the clip, score it, record a lesson. Mandatory. 5. **Voiceover** (`scripts/tts.py`) — synthesize narration (e.g. the user's cloned voice) when a clip or cut needs spoken audio. 6. **Assemble** (`scripts/assemble.py`) — stitch multiple clips into a finished video with cuts/crossfades and an audio bed. 7. **Finish** (`scripts/upscale.py`) — upscale resolution + interpolate fps for delivery. ## Workflow (a single generation) 0. **Read `LESSONS.md` first.** It is the skill's growing memory of