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Hedra Character 3

All video models
Video modelHedra
OverviewAudio → Video (avatar)

Overview

Hedra Character 3 is a video generation model developed by Hedra that specializes in accurate image-to-video lip sync and character animation. Built as an omnimodal foundation model, it processes image, text, and audio simultaneously to generate fluid, natural-looking speech. While Hedra Omnia serves as the developer's most advanced option for audio-conditional generation, Character 3 provides a lightweight alternative suited for shorter talking avatars, marketing clips, and character-driven storytelling.

Hedra Character 3 Avatar

Audio → Video (avatar) — generates video.

Specifications

Input mode
Audio → Video (avatar)
Accepts
start frame, audio (required)
Aspect ratios
1:1, 16:9, 9:16
Resolutions
540p, 720p, 1080p
Native audio
Audio-driven
Pricing
8 credits / second — longer clips and higher resolutions cost more
Typical generation time
~19 min
Free tier
No

Audio → Video (avatar) examples

A widescreen 1080x720 seated talking-animal video of a large bear in a work shirt, delivering a gruff, matter-of-fact roofing estimate to camera. Generated from a still image and an audio track using Hedra Character 3.Talking Bear Roofing Contractor — Hedra Character 3A vertical 720x1080 seated talking-animal video of a bespectacled fox in a lab coat at a lab bench, delivering a dry, wry research finding to camera. Generated from a storybook-3D still and an audio track using Hedra Character 3.Talking Fox Scientist Announcement — Hedra Character 3A widescreen 1080x720 seated talking-head video of a teacher at a desk in front of a whiteboard, warmly explaining a math concept to camera. Generated from a still image and an audio track using Hedra Character 3.Teacher Explaining Fractions — Hedra Character 3A widescreen 1080x720 seated talking-character video of a modern, upscale Frankenstein's-monster news anchor broadcasting a product launch from inside a candlelit stone castle, an "Ingolstadt Today" screen behind him. Generated from a photoreal-leaning 3D still and an audio track using Hedra Character 3.Frankenstein News Anchor Product Launch — Hedra Character 3A widescreen 1080x720 seated talking-character video of a 2D-illustrated podcast host in a beanie and headphones, speaking to camera at a stylized studio mic. Generated from an illustrated still and an audio track using Hedra Character 3.AI Podcast Host Talking Into the Mic — Hedra Character 3A vertical 720x1080 seated talking-character video of a stop-motion claymation gentleman with a banjo, performing a soft sung-spoken vocal to camera. Generated from a claymation-style still and an audio track using Hedra Character 3.Claymation Musician Singing — Hedra Character 3A vertical 720x1080 seated talking-head video of a warm elderly woman in a cozy armchair, telling a bedtime story to camera by lamplight. Generated from a still image and an audio track using Hedra Character 3.Grandmother Telling a Bedtime Story — Hedra Character 3A widescreen 1080x720 seated talking-head video of a founder in a hoodie speaking candidly in a home office with a podcast mic in frame, as if answering an interviewer. Generated from a still image and an audio track using Hedra Character 3.Startup Founder Podcast Interview — Hedra Character 3A widescreen 1080x720 seated talking-head video of a composed news anchor at a broadcast desk delivering a top story, with a playful newsroom set behind him. Generated from a still image and an audio track using Hedra Character 3.AI News Anchor Reading the Headlines — Hedra Character 3A close-up video frame of a grey tabby cat wearing over-ear headphones, sitting in front of a vintage silver microphone in a recording studio. Warm sunlight streams through a window in the background. Generated with Hedra Character 3 at 1936x1080 resolution.Cat Hosting a Podcast — Hedra Character 3A 3D animated video frame showing a large panda waving in front of a wooden shop named Bamboo Delight in a bamboo forest. Six baby pandas climb trees and eat bamboo in the background. Generated with Hedra Character 3 at 1278x720 resolution.Hedra Character 3: Pandas at Bamboo Delight

What is Hedra Character 3 best used for?

Hedra Character 3 is an omnimodal model designed specifically for image-to-video lip-syncing. It turns a single static portrait and an audio file into a talking avatar. The community notes its ability to generate natural micro-expressions—like blinks, eye shifts, and subtle head tilts—that sync accurately with speech phonemes. This makes it useful for character-driven storytelling, virtual presenters, and social media content, avoiding the stiff movements common in older avatar tools.

When was Hedra Character 3 released, and how does it fit into the Hedra model family?

Released in March 2025, Character 3 succeeded Hedra Character 2 by introducing simultaneous processing of image, text, and audio for improved facial animation and full-body motion. While it remains a standard option for locked-camera talking avatars, Hedra later introduced Hedra Omnia in February 2026. Omnia builds on Character 3's core technology by adding dynamic environments and precise camera controls to the character performances.

What are the best practices for getting realistic lip-sync and motion from Character 3?

Because the model uses audio as the core driver for facial animation, your audio quality heavily dictates the output. Use clean speech with clear pronunciation and zero background noise or heavy reverb. If you notice the character making overly dramatic or unnatural hand gestures—a common quirk noted by users—use your text prompt to explicitly restrain their movement. For more detailed workflows, check out external prompt guides. Additionally, generating a library of approved character angles helps maintain consistency across videos.

Similar models

Hedra AvatarHedraKling AI Avatar v2 ProKlingKling AI Avatar v2 StandardKlingVEED Fabric 1.0VEEDHedra OmniaHedraVEED Fabric 1.0 FastVEED

Prompt tips

  • Start with a high-quality portrait: For best results in image-to-video generation, use a clear, close-up portrait with good lighting and a neutral or slightly expressive face.,- Describe the delivery: When using text-to-video, include specific descriptors for the character's demeanor (e.g., "speaking in a calm, steady voice") to guide the generation.,- Leverage Hedra Elements: If you are struggling with a blank prompt, use Hedra's pre-built characters and environments to establish a baseline before customizing.,- Use clear audio: Ensure uploaded voiceovers or voice clones are clean and free of heavy background noise so the model can accurately map phonemes and micro-expressions.
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