Canvas is where prompts become a sequence. Place shots on a timeline, lock characters and brands, batch-generate across multiple AI video models, and export a stitched scene with consistent visuals from one workspace.
Fähigkeits-Snapshot
multi
shots per scene
batch
model-parallel
consistent
characters
Praktischer Wert, abgebildet auf reale Produktionsabläufe.
Vorteil
01
Storyboard-first authoring
Write the shot list, lock the characters, then generate. Canvas treats a scene as a sequence of constrained prompts, not a single freeform render.
Vorteil
02
Batch across models
Run the same shot through Sora 2, Veo 3 and Kling in parallel; pick the winning render per shot and keep moving.
Vorteil
03
Consistent export
Stitch shots into a final clip with consistent aspect ratio, audio, and pacing — without leaving Imgo for an external editor.
Ein einfacher dreistufiger Weg vom Quellmaterial zu einem wiederverwendbaren Ergebnis.
Schritt 1
Sketch the scene
Drop shots onto the canvas — text prompts, image references, or templates from the marketplace.
Schritt 2
Lock characters & brand
Bind shots to entries in your character / brand library so identity anchors carry across every render in the scene.
Schritt 3
Generate, review, export
Batch-generate across models, pick the best render per shot, and export a stitched scene with consistent aspect and pacing.
Canvas borrows familiar drag-and-drop conventions — a shot is a card, a sequence is a row. Templates from the marketplace ship with prefilled prompts so you can generate before you fully learn the UI.
Yes. Send a shot to Sora 2, Veo 3, and Kling in parallel; the variants land back on the same shot card so you can pick the winner without losing context.
Drop a character from your library onto a shot. Canvas binds the shot to that character's identity anchors, so every render — across any model — automatically carries the same look.
Yes. Canvas can stitch shots into a single MP4 with consistent aspect ratio and pacing, ready to upload or hand off to a final colour / sound pass.
Nächster Schritt
Öffnen Sie das Tool mit einem echten Bild, vergleichen Sie die Ergebnisse und behalten Sie die funktionierende Version.