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AI Character Consistency
You built a character — face, wardrobe, vibe, name — and you need her to be the same person in every image and every video clip across the campaign. Astorie gives you a reference-driven canvas where the character image plugs into every downstream node, image and video, so your AI influencer or spokesperson stops shape-shifting between generations.
What this feature solves
Character drift kills AI content the moment you need a series. The first generation looks great; the second has a different jawline; the third aged her by ten years and changed her hair. For an AI influencer, brand spokesperson, or recurring character in a narrative, that drift is unusable. The audience expects the same person every time, and the model expects to invent a new one every time.
Tab-based tools force a manual workaround — you re-upload the reference into each new session, regenerate ten times until the face approximately matches, and curate the closest hits by hand. That loop falls apart at scale. A campaign needs sixty images and ten clips of the same person across different settings, outfits, and emotions, and there is no way to grind that out one tab at a time.
The deeper problem is cross-modal continuity. The character that looks right in your hero photo has to look right in the video clip, in the spokesperson cut, in the lip-synced dialogue. Image and video models often treat references differently, and without a way to lock the identity across both, your character is one person in stills and a different person in motion.