Generation Modes
Generation Modes
Section titled “Generation Modes”AutoVio supports two modes for how a video is conceived and styled: style_transfer and content_remix.
style_transfer
Section titled “style_transfer”Goal: Reuse the visual style and structure of an existing video with new content.
- You upload a reference video in the Init step.
- In Analyze, vision AI extracts: scenes, tone, color palette, tempo, camera movements, text overlays.
- That analysis is passed into Scenario so the LLM generates scenes that match the reference’s style and structure.
- You can save the analysis as the project style guide so all works in the project can use that look and feel.
Use when: You have a reference ad or template and want to create a new version with different product or messaging but the same style and pacing.
content_remix
Section titled “content_remix”Goal: Create a new video from text only, without a reference video.
- No reference video is required. You describe the video via product name, description, target audience, duration, scene count.
- Analyze is skipped (or optional if you later add a reference).
- Scenario uses only user intent (and optional project style guide and knowledge) to generate scene-by-scene prompts.
- Image and video generation still use the project/work style guide and instructions if set.
Use when: You’re starting from an idea or brief and don’t have a reference clip, or you want the AI to invent structure and style from your description.
Comparison
Section titled “Comparison”| Aspect | style_transfer | content_remix |
|---|---|---|
| Reference video | Required (upload in Init) | Not required |
| Analyze step | Run to get structure & style | Skipped (or optional) |
| Scenario input | Analysis + intent | Intent (+ optional style guide) |
| Typical use | “Like this video, but for my product” | “Make a video from this description” |
Mode in the API
Section titled “Mode in the API”When creating or updating a work, set mode to "style_transfer" or "content_remix". The same field is used in scenario and analyze requests so the backend and prompts can adapt (e.g. analyzer prompt focuses on style for style_transfer and on content/story for content_remix).
See Projects & Works and Pipeline Overview.