Introducing Hedra Omnia: The Unified AI Video Model for Character-Driven Content
Introducing Hedra Omnia: The Unified AI Video Model for Character-Driven Content
Today we're launching Hedra Omnia, our most advanced model yet, and the first video model built from the ground up to combine lifelike character dialogue with realistic dynamic environments and precision camera control.
Omnia isn't just another talking head generator. It's a frontier AI video model that jointly reasons over vision, text, and audio to produce video that feels lived rather than mechanically generated. The result is expressive AI video with natural motion, coherent camera behavior, and the kind of subtle details, such as blinking, micro-expressions, stable hands and logos, that make character-driven content truly believable.
Omnia is available today, exclusively in Hedra.
Why We Built Omnia
The AI video landscape has split into two camps. On one side, you have avatar-focused models that let you upload audio but give you almost no control over camera movement, body motion, or environment. The subject talks, but everything else is static or random. AI talking head video has been stuck in this paradigm for too long, from faces that move, to bodies that don't, and cameras that stay locked in place.
On the other side, general-purpose video models offer impressive visual generation but struggle with voice consistency and often treat audio as an afterthought.
Neither approach delivers what creators actually need: a unified video model that lets you control the entire scene while keeping your voice consistent throughout.
That's what Omnia was built to do.
Upload any image. Upload any audio. Then prompt the motion, the camera, and the background, now watch them work together. This combination of uploaded audio, strong motion control, and camera direction in a single model is what makes Omnia different.
How Omnia Works: Joint Vision-Text-Audio Reasoning
Most video models process inputs sequentially or in isolation. Omnia reasons over them jointly, which means it understands how vision, text, and audio relate to each other before generating a single frame.
Vision encompasses spatial layout, subjects, objects, and camera perspective. Omnia models scenes as environments and subjects as entities with physical presence, not just pixel patterns to be animated.
Text captures intent, direction, motion, framing, and style. When you prompt for a slow push-in or an orbit shot, the model understands what that means cinematically, and not just as keywords to approximate.
Audio includes speech, rhythm, emotion, and timing. This is where Omnia diverges most sharply from other approaches. Audio isn't just used to sync lips; it affects motion, pacing, and expressive dynamics throughout the entire clip. The rhythm of speech influences how the body moves. Emotional cues in the voice shape facial expressions. Timing drives the whole performance.
This joint reasoning is what enables Omnia to produce talking video AI that actually feels like a performance rather than a face pasted onto generated footage.
Built for Believable Performance
During reinforcement learning and post-training, we focused relentlessly on one goal: building the best AI video model for lifelike dialogue and character-driven content.
Previous generations of AI video optimized primarily for visual sharpness like higher resolution, crisper details, more photorealistic textures. But sharpness alone doesn't make video feel real. In fact, it can make things worse. A perfectly rendered face that moves mechanically is more unsettling than a slightly softer image with natural motion.
Omnia takes a different approach, emphasizing:
Natural motion and timing. Movement flows continuously rather than snapping between poses. Actions have weight and follow-through.
Continuous body and facial movement. Subjects don't freeze between words or hold unnaturally still. There's always subtle motion, in fact this is the kind of micro-movement that makes real humans look alive.
Micro-expressions. Blinking, eyebrow raises, lip tension, and other fleeting expressions that happen in real conversation. These are notoriously difficult to generate consistently, and their absence is one of the primary tells of AI-generated talking heads.
Stable hands, logos, and fine details. Hands have been a challenge for generative AI since the beginning. Likewise, logos and text frequently distort or melt. Omnia maintains integrity on these details, which is absolutely critical for anyone producing AI brand videos or content featuring products. If you've been searching for the best AI video model for logo control, Omnia delivers.
Coherence between audio, motion, and camera. Everything moves together with unified timing. The camera doesn't drift randomly while the subject speaks; it responds to the performance.
The goal wasn't perfect photorealism. It was believable presence: video that feels like it captures a moment rather than constructs one.
Camera and Motion Control: A Key Strength
One of Omnia's standout capabilities is AI video camera control. You can prompt specific camera behaviors and get reliable results:
Push-ins and pull-outs that create emphasis or reveal context. Start wide and push into a close-up as the speaker makes a key point. Pull back to show the environment.
Tracking and orbit shots that follow or circle the subject. This creates production value that's typically impossible with static AI-generated video.
Static to moving camera transitions within a single clip. Begin locked off, then drift into motion as the energy of the scene changes.
The camera remains coherent relative to the subject throughout. This sounds obvious, but most models treat the camera as implicit or fixed. It’s not part of the scene, so you get whatever framing the model decides. Omnia treats the camera as an active participant in the scene, giving you the AI video camera motion control that cinematic results require.
Combined with Omnia's motion control for subjects, this opens up creative possibilities that simply weren't available before. You can direct performances, not just generate them.
Where Omnia Excels
Omnia is optimized for short-form content where you need control over more than just the face. Based on extensive testing, it performs exceptionally well for:
AI UGC video and influencer content. The authentic, personality-forward style that performs on social platforms. AI influencer video requires natural motion and expressiveness that makes content feel genuine rather than corporate. Omnia shines here.
Podcast clips and interview content. Extended dialogue with consistent voice and natural conversational motion. The model maintains engagement across longer audio inputs without the drift or freezing that plagues other approaches.
Man-on-the-street interviews. Dynamic backgrounds, handheld-style camera motion, and the spontaneous energy of real location shooting. All generated from a prompt.
Cinematic dialogue scenes. Directed camera work, emotional performance, and atmospheric environments that feel like they belong in a film rather than a social feed. This is where the combination of Omnia's camera control and expressive motion creates something genuinely new.
Brand ad AI video. This is where Omnia's detail integrity really matters. Logos stay readable. Product shots maintain consistency. Text doesn't melt. For brands investing in AI video, this reliability is non-negotiable.
AI music video. Because audio is a first-class input that affects motion and timing throughout the clip, Omnia handles rhythm-driven content such as singing with the synchronization that music demands.
Best Practices for Best Results
To get the most out of Omnia:
Use explicit camera direction in your prompts. Don't leave it to chance. Specify push-ins, tracking shots, static frames… whatever serves your vision.
Focus on single-subject shots. This is where Omnia is strongest. One subject, one continuous shot, full control.
Use 16:9 aspect ratio. The model is optimized for this format, and results are most consistent here.
Upload clear audio with good pacing. Quality in, quality out. Clean audio with natural rhythm gives the model the best foundation to build on.
Think in terms of clips, not long-form content. Omnia generates up to approximately 8 seconds at 1080p. Plan your content as short, punchy clips that can be assembled into longer pieces if needed.
Omnia + Hedra's Model Library
Hedra has always operated as a model-agnostic platform, giving you access to leading AI video models in a single workflow. With Omnia, we're adding our own frontier model to that library.
This means you can now choose the right tool for each project from a single interface. Need Kling 3.0's multi-shot storyboarding and native 4K output? It's there. Want Omnia's unmatched combination of voice consistency, camera control, and believable character performance? Also there. Different models excel at different things, and now you have access to all of them, alongside capabilities you can't get anywhere else.
Omnia represents our vision for what AI video should be: not just visually impressive, but controllable, expressive, and believable. An AI world model for video that gives you exceptional brand control, logo integrity, and realistic environments, while being built for creators who need more than talking heads.
Getting Started
Omnia is available now in Hedra. If you're already on the platform, you can start generating immediately. If you're new, sign up and explore what's possible.
The AI video space is evolving fast. Models that felt cutting-edge six months ago now feel limited. What hasn't changed is what creators actually need: tools that give them control, produce believable results, and solve real workflow problems.
Whether you're creating AI UGC video for social campaigns, producing AI brand video that needs rock-solid logo integrity, or building AI influencer video that requires authentic presence and natural motion, Omnia was built for exactly that.
What will you create?