Same face, way more range. cinematic avatar api feels like the point where personal likeness becomes something your coding agent can actually orchestrate inside real workflows
Cinematic_avatar api is live
keep your likeness, add cinematic range and build your video pipeline via your coding agent
install HeyGen CLI + HyperFrames skill to create launch videos like ours
docs and cli setup in thread ↓
Cinematic_avatar api is live
keep your likeness, add cinematic range and build your video pipeline via your coding agent
install HeyGen CLI + HyperFrames skill to create launch videos like ours
docs and cli setup in thread ↓
The breakthrough here isn’t prettier renders. it’s giving agents a language for pacing, composition, motion, and restraint instead of forcing them to infer it from UI logic
Introducing frame.md, a spec built for videos & motion
design.md kept your brand consistent across screens
but when applied to videos, agents translated it back into webpages and decks
frame.md teaches your agents how to make branded video
turn your design.md into frame.md ↓
Introducing frame.md, a spec built for videos & motion
design.md kept your brand consistent across screens
but when applied to videos, agents translated it back into webpages and decks
frame.md teaches your agents how to make branded video
turn your design.md into frame.md ↓