Build the frame
Shape subject, setting, composition, light, texture, and exact on-image text.
Explore the workflowTurn rough ideas into polished image and video prompts with clear direction for subject, setting, lighting, camera, movement, and mood.
A beauty founder prepares a product beside a tall hotel window, calm and self-possessed.
Create one vertical editorial image of an adult beauty founder standing beside a sheer-curtained hotel window…
Enough structure for precision. Enough restraint to keep the process approachable.
Shape subject, setting, composition, light, texture, and exact on-image text.
Explore the workflowTurn a still or written idea into a timed Seedance direction with camera, sound, and continuity.
Explore the workflowCreate reusable character anchors and give every reference a precise production role.
Explore the workflowCineVellum replaces generic adjectives with choices a generation model can actually see.
“A luxury skincare creator in a hotel.”
Vague setting · no camera · no visible lightingCreate one vertical editorial image of an adult beauty creator at a limestone vanity beside a floor-to-ceiling hotel window. Frame a medium close-up at eye level with a 50mm perspective…
Single composition · exact finish · natural realismCineVellum recompiles your creative intent for the way each supported model responds best.
Build an editable character anchor for facial structure, skin tone, hair, proportions, wardrobe, and distinguishing details.
Reuse what matters across scenes while still changing the setting, action, framing, or format with intention.
Assign identity, product, wardrobe, environment, composition, lighting, motion, or final-frame roles.
Save, search, favorite, archive, duplicate, adapt, and restore every meaningful version without overwriting your history.
Explore the LibraryCineVellum creates copy-ready, model-optimized direction. Direct provider generation is only added when a documented integration is available.
Each model responds differently to structure, preservation rules, reference roles, text, and motion. CineVellum uses a dedicated strategy for each supported model.
Yes. References remain private, receive explicit roles, and are compiled into the final direction without trusting text embedded inside them.
No. Best Format chooses natural language, JSON, or both based on the actual workflow and intended use.