Metadata-rich motion prompts
AI video requests include scene number, subject, framing, and movement pulled from boards and shot rows.
AI video tools need more than a pretty still. They need subject, framing, movement, and continuity tied to a scene number. ScreenWeaver turns approved boards into motion prompts your story can survive.
You upload a board frame and hope the model invents the right camera move, the right performance, and the right next beat. The clip looks impressive and cuts against everything scene 17 established.
Without scene metadata, batch-generating AI video for a sequence means rewriting prompts for every shot while faces and wardrobes morph between takes.
Directors lose trust in AI previz when clips cannot be traced back to screenplay moments. The tool gets blamed instead of the missing handoff from boards to motion.
ScreenWeaver packages each approved panel with scene ID, cast tags, framing notes, and optional shot list rows so AI video requests carry production intent, not just pixels.
Regenerate motion for a single shot without breaking continuity on the rest of the sequence. The story stays legible because every clip knows which scene it serves.
Finalize frames for the sequence you want to previz. Reject or regenerate stills until geography and cast read true to the script.
Pull shot list rows or add movement notes: push, pan, handheld, static. Duration hints keep AI clips edit-friendly.
Run AI video on selected shots. Cast and location locks reduce morphing between clips in the same scene.
Review motion next to source panels and scene text. Flag clips for regen or cut winners into a temp animatic with scene labels intact.
Rosa boards a foot chase across six scenes with consistent wardrobe locks. She generates AI motion for three key beats to test pacing and geography before hiring stunts. Each clip exports with scene and shot IDs so her editor drops previz into the timeline beside the screenplay markers, and stunt coordination sees exactly which practical beats match which previz frames.
AI video requests include scene number, subject, framing, and movement pulled from boards and shot rows.
Cast and location locks persist across multiple generations in the same sequence.
Every motion output links back to the source panel and script scene for accountable review.
Place approved clips on a timeline with scene labels to test rhythm before final production.
Without structure
With ScreenWeaver
ScreenWeaver exports structured prompt packages and reference frames compatible with major AI video workflows. Specific integrations evolve; exports remain scene- and shot-labeled regardless of destination tool.
Rough boards work for early previz. Tighter stills improve motion fidelity. You can regenerate motion after updating panels without losing scene anchors.
Set duration hints on shot list rows or per-panel motion notes. AI tools interpret these as targets; trim in animatic assembly for fine pacing.
Continuity locks and reference images attached during boarding flow into motion generation requests to reduce drift between clips.
Many filmmakers use previz clips for internal rhythm tests or proof-of-tone reels. Quality depends on your board fidelity and the AI model. Scene labels help editors cut honest sizzle material.
Affected scenes flag linked boards, shot rows, and motion outputs. You update panels first, then regenerate only the clips tied to changed beats.
AI generation is not the hard part anymore. Keeping the film coherent is. Start in ScreenWeaver and build the chain before you burn credits.
Start creating with ScreenWeaver