Video Generation Skill

Overview

This skill generates high-quality videos using structured prompts and a Python script. The workflow includes creating JSON-formatted prompts and executing video generation with optional reference image.

Core Capabilities

• Create structured JSON prompts for AIGC video generation

• Support reference image as guidance or the first/last frame of the video

• Generate videos through automated Python script execution

Workflow

Step 1: Understand Requirements

When a user requests video generation, identify:

• Subject/content: What should be in the image

• Style preferences: Art style, mood, color palette

• Technical specs: Aspect ratio, composition, lighting

• Reference image: Any image to guide generation

• You don't need to check the folder under /mnt/user-data

Step 2: Create Structured Prompt

Generate a structured JSON file in /mnt/user-data/workspace/ with naming pattern: {descriptive-name}.json

Step 3: Create Reference Image (Optional when image-generation skill is available)

Generate reference image for the video generation.

• If only 1 image is provided, use it as the guided frame of the video

Step 3: Execute Generation

Call the Python script:

python /mnt/skills/public/video-generation/scripts/generate.py
--prompt-file /mnt/user-data/workspace/prompt-file.json
--reference-images /path/to/ref1.jpg
--output-file /mnt/user-data/outputs/generated-video.mp4
--aspect-ratio 16:9

Parameters:

• --prompt-file : Absolute path to JSON prompt file (required)

• --reference-images : Absolute paths to reference image (optional)

• --output-file : Absolute path to output image file (required)

• --aspect-ratio : Aspect ratio of the generated image (optional, default: 16:9)

[!NOTE] Do NOT read the python file, instead just call it with the parameters.

Video Generation Example

User request: "Generate a short video clip depicting the opening scene from "The Chronicles of Narnia: The Lion, the Witch and the Wardrobe"

Step 1: Search for the opening scene of "The Chronicles of Narnia: The Lion, the Witch and the Wardrobe" online

Step 2: Create a JSON prompt file with the following content:

{ "title": "The Chronicles of Narnia - Train Station Farewell", "background": { "description": "World War II evacuation scene at a crowded London train station. Steam and smoke fill the air as children are being sent to the countryside to escape the Blitz.", "era": "1940s wartime Britain", "location": "London railway station platform" }, "characters": ["Mrs. Pevensie", "Lucy Pevensie"], "camera": { "type": "Close-up two-shot", "movement": "Static with subtle handheld movement", "angle": "Profile view, intimate framing", "focus": "Both faces in focus, background soft bokeh" }, "dialogue": [ { "character": "Mrs. Pevensie", "text": "You must be brave for me, darling. I'll come for you... I promise." }, { "character": "Lucy Pevensie", "text": "I will be, mother. I promise." } ], "audio": [ { "type": "Train whistle blows (signaling departure)", "volume": 1 }, { "type": "Strings swell emotionally, then fade", "volume": 0.5 }, { "type": "Ambient sound of the train station", "volume": 0.5 } ] }

Step 3: Use the image-generation skill to generate the reference image

Load the image-generation skill and generate a single reference image narnia-farewell-scene-01.jpg according to the skill.

Step 4: Use the generate.py script to generate the video

python /mnt/skills/public/video-generation/scripts/generate.py
--prompt-file /mnt/user-data/workspace/narnia-farewell-scene.json
--reference-images /mnt/user-data/outputs/narnia-farewell-scene-01.jpg
--output-file /mnt/user-data/outputs/narnia-farewell-scene-01.mp4
--aspect-ratio 16:9

Do NOT read the python file, just call it with the parameters.

Output Handling

After generation:

• Videos are typically saved in /mnt/user-data/outputs/

• Share generated videos (come first) with user as well as generated image if applicable, using present_files tool

• Provide brief description of the generation result

• Offer to iterate if adjustments needed

Notes

• Always use English for prompts regardless of user's language

• JSON format ensures structured, parsable prompts

• Reference image enhance generation quality significantly

• Iterative refinement is normal for optimal results