Dreamina Video
Dreamina Video animates static portraits into speaking digital humans by pairing images with audio tracks, producing lip-synced output powered by ByteDance OmniHuman 1.5. The skill supports mask-based targeting for multi-person photos and async task polling to handle longer processing jobs without timeout.
Dreamina Video generates lip-synced talking-photo videos by combining a portrait image with driving audio via ByteDance OmniHuman.
AI-generated summary based on this skill's SKILL.md
Install
AceDataCloud/Skills/dreamina-video · repository language: Python
git clone https://github.com/AceDataCloud/Skills
cp -r Skills ~/.claude/skills/dreamina-videogenerated, unverified - the skill's exact subdirectory could not be determined; check the repository on GitHub
npx skillfed install AceDataCloud/Skills/dreamina-videoFrequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What is Dreamina Video and how does it work?
Dreamina Video is an AI-powered video generation tool that transforms static portraits into speaking digital humans. It pairs images with audio tracks to produce lip-synced video output, powered by ByteDance OmniHuman 1.5 technology. The skill animates your photos into realistic talking videos by synchronizing facial movements with audio.
Can Dreamina Video handle multiple people in one photo?
Yes, Dreamina Video supports mask-based targeting for multi-person photos. This feature allows you to specify which individuals in a group photo should be animated, giving you precise control over which portraits become speaking digital humans in your final video output.
How do I use Dreamina Video to create videos with text or audio?
Dreamina Video converts text or concepts into video content by pairing your images with audio tracks. You provide a static portrait and audio, and the skill generates a lip-synced video where the person appears to speak. This streamlines video creation without manual editing.
Does Dreamina Video handle long processing jobs?
Dreamina Video uses async task polling to handle longer processing jobs without timeout issues. This means you can generate videos of various lengths, and the system will manage the processing in the background, allowing you to retrieve your completed video when ready.
What are the main use cases for Dreamina Video?
Dreamina Video automates video production and content creation workflows. Common applications include creating digital presenters, animating social media content, generating personalized video messages, producing tutorial videos from static images, and streamlining media projects that would otherwise require manual video editing.