Can I edit specific objects within a video?

Yes, the skill includes advanced masking modes (insert, remove, remove-static, and outpaint) to modify specific regions of your video content.

Can I turn my existing images into videos?

Yes, the skill supports image-to-video transformation, allowing you to use a static image as a starting frame or interpolate between two images for a smooth transition.

Does it support high-resolution output?

Yes, the skill supports resolutions up to 4K and 1080p, typically requiring an 8-second duration setting for these higher-quality outputs.

What model does the GenAI Video skill use?

This skill utilizes the Google GenAI Veo 3.1 model, offering both 'Fast' and 'Quality' generation modes to balance speed and fidelity.

Is audio generation supported?

Yes, by using the --audio flag, the model will generate synchronized audio cues based on the visual descriptions in your prompt.

GenAI Video Generation

Name: GenAI Video Generation
Author: Onward-Technologies

byOnward-Technologies

Data Science & ML

Generates high-quality videos and animations from text or images using the Google GenAI Veo 3.1 model.

About

The GenAI Video skill integrates Google's Veo 3.1 model directly into your workflow, allowing you to generate professional-grade video content via simple CLI commands. It supports a wide range of creative tasks including text-to-video, image-to-video, and frame interpolation for smooth transitions. With advanced features like style/asset reference images for consistency, targeted video masking for edits, and support for 4K resolution with synchronized audio, this skill is ideal for developers and creators looking to automate high-fidelity video production and cinematic content generation.

Key Features

Support for cinematic 4K resolution and synchronized audio
0 GitHub stars
First and last frame interpolation for smooth morphing transitions
Advanced video masking for object insertion, removal, and outpainting
Text-to-video and image-to-video generation using Veo 3.1
Style and asset reference support to maintain visual consistency

Use Cases

Performing complex AI-driven video edits like removing watermarks or expanding landscapes
Transforming static product photography into dynamic video presentations
Creating cinematic marketing clips and social media animations from text prompts

About

Key Features

Support for cinematic 4K resolution and synchronized audio
0 GitHub stars
First and last frame interpolation for smooth morphing transitions
Advanced video masking for object insertion, removal, and outpainting
Text-to-video and image-to-video generation using Veo 3.1
Style and asset reference support to maintain visual consistency

Use Cases

Performing complex AI-driven video edits like removing watermarks or expanding landscapes
Transforming static product photography into dynamic video presentations
Creating cinematic marketing clips and social media animations from text prompts