What is seedance-2-api?

This project is a Python toolkit that lets you generate AI videos from text descriptions or static images using ByteDance's Seedance video models. Instead of wrestling with raw web requests, you write a few lines of Python, provide a prompt like "a cinematic shot of a cyberpunk city in the rain," and get back a link to a high-definition video clip. The wrapper connects you to an intermediate service called MuAPI, which handles the actual calls to ByteDance's servers. At a high level, you initialize the client, call a method like text_to_video or image_to_video with your prompt and settings (such as aspect ratio, duration, and quality level), then wait for the result. The README also highlights a "character consistency" feature where you can generate a multi-angle reference sheet from a few photos of a person and then reuse that character across multiple video scenes so their face and identity stay consistent. The main audience is developers or builders who want to add AI video generation into a product without building the plumbing themselves. A founder prototyping a short-form video app, a developer automating a content pipeline, or a tinkerer who wants to script video creation in Python would find this useful. It supports common social media aspect ratios like 16:9 and 9:16, so you can generate clips formatted for YouTube or TikTok without extra editing. A notable tradeoff is cost and speed versus quality. The full Seedance 2.0 and 2.5 models aim for top-tier cinematic output, while a "Mini" variant offers cheaper, faster generation at roughly seven cents per second of video. The README does not go into deep detail on exactly how the underlying model differs, but it positions the Mini option as better for high-volume or prototype work where speed and budget matter more than maximum fidelity. You will need a MuAPI key to use any of it.