CharaSync

CharaSync is a generative image tool. A reference-library workspace for AI image and video generation that saves a character or product once and reuses it across new scenes, with GPT Image 2.5 and Seedance 2.0 behind the prompts.

CharaSync is a browser-based generation workspace built around one problem: keeping the same face, outfit or product intact as you move through different scenes, campaigns and formats. Instead of retyping descriptive prompts and hoping the model cooperates, you save a reference (a character sheet, a portrait, a product shot) into a library, then call that reference in later prompts. The library is the backbone of the product; images and video are the outputs. In practice a session looks like this: upload clear, well-lit views of a subject, give the reference a name, then write a scene prompt that says what should change and what must stay fixed. CharaSync organises the request before it generates, with a prompt mode that rewrites and structures your instructions and shows the final prompt on the result page. If the rewrite fails, generation stops and reserved credits come back. Output options cover GPT Image 2.5 at up to 4K and Seedance 2.0 video at up to 1080p and 15 seconds, with as many as four reference images per request and controls for ratio, resolution, quality, style and count. It is aimed at people who need repeatable identity rather than one-off novelty: illustrators building character sheets, marketers running a recurring face or bottle across placements, small studios producing short video from approved stills, and creators maintaining a synthetic persona. Documented examples include a made-up woman photographed in a Paris cafe and again on a beach, a branded mug with only the backdrop swapped, and a still café portrait animated into a five second clip. Workflows for product photography and background replacement sit alongside the character material. The honest positioning: CharaSync is a thin, opinionated layer over third-party models rather than a model of its own, so quality tracks whatever providers it routes to. Its edge is workflow, the saved-reference habit and prompt structuring, not a secret consistency algorithm. CharaSync states plainly that references reduce drift but do not eliminate it, and that large shifts in pose, lighting or camera angle can still disturb facial detail. If you need guaranteed, exact identity across hundreds of assets, this is a drafting tool that requires review, not a locked pipeline. Commercial use depends on its terms, the model provider's terms and your rights to the inputs.