June 15, 2026
Favorites and references
Add strong images and videos to Favorites, then bring them back as references so characters, products, and style stay consistent.
Useful AI results are often lost because they live inside a generation history or a downloaded folder. When the next project starts, creators waste time trying to recreate a frame they already had.
The Givon AI library is shared across projects. Save a strong image, video, product frame, character frame, voice, or motion reference once, then bring it back into any new scene.
References work best when each one has a clear role. One reference can define a face, another can define product shape, another can define lighting or motion. Clear roles make generation more stable.
This matters most for repeatable work: product content, AI characters, brand campaigns, client revisions, and ongoing social series.
What it gives you
Favorites are available only to you across projects.
Saved images and videos can return to new scenes as references.
Uploaded source files can be stored alongside generated assets.
Reference roles help preserve characters, products, style, and movement.
Clean final takes can become start frames or source material for future scenes.
When it is useful
Series in one style
Reuse the same characters, products, frames, and lighting across episodes.
Brand and product content
Keep approved products, logos, backgrounds, and compositions close to the editor.
AI characters
Save stable portraits and reference frames so identity does not drift.
Faster new scenes
Start from working references instead of rebuilding every prompt from scratch.
FAQ
What should be added to Favorites?
Save assets with a clear future role: character portraits, product frames, motion references, clean final takes, backgrounds, or voice assets.
Are Favorites project-specific?
Project materials stay inside each project. Favorites are personal account-level assets you chose for reuse.
Can too many references hurt a generation?
Yes. References work better when each one has a clear role and the set does not give the model conflicting instructions.