Step 3 - Scenario

Step 3: Scenario

The Scenario step generates a scene-by-scene script for the video using the LLM.

What you do

1. Click Generate scenario (or equivalent). The app sends analysis (if any), intent (mode, product, duration, scene count), optional system prompt, knowledge, and project style guide to POST /api/scenario.
2. The LLM returns an array of ScenarioScene objects: for each scene, image_prompt, negative_prompt, video_prompt, duration_seconds, text_overlay, transition.
3. You can edit any scene’s text in the UI before moving to generation.

Inputs

Input	Description
Analysis	From Step 2 (reference video analysis). Optional.
Intent	mode, product_name, product_description, target_audience, language, video_duration, scene_count.
System prompt	Override for the scenario LLM (default from project).
Knowledge	Extra context (from project or work).
Style guide	Project style guide; when present, appended as “Project Style Guide” in the system prompt.

Output

Each scene has:

• scene_index, duration_seconds
• image_prompt — used for image generation
• negative_prompt — what to exclude from the image
• video_prompt — motion/camera for image-to-video
• text_overlay — optional on-screen text
• transition — e.g. cut, fade, dissolve

Default behavior

The default scenario system prompt (see Scenario Prompt) instructs the LLM to produce photorealistic content unless the style guide asks for something else. Image prompts are written like “photo of…”, “shot on…”; video prompts describe realistic motion.

Next step

In Step 4: Generate you generate an image for each scene from image_prompt, then a video from that image using video_prompt.

See Step 4: Generate and System Prompts: Scenario.