Hedra Character 3

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Video modelHedra

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.

Best of Hedra Character 3

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.

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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.