Flaq AI

Flaq AI is a generative video tool that animates still images into short clips across several video models. Flaq AI's image-to-video generator animates uploaded photos or designs into short clips using a choice of provider models, with prompt control, optional end frames, sound on some models, and a per-second cost shown before you generate.

Flaq AI is a multi-model media platform, and its image-to-video page is a browser-based generator that turns a still picture into a short moving clip. The user uploads a reference image, writes a prompt describing the action, camera behavior and mood, picks one of the supported image-to-video models, and generates a preview. The page shown as the default model is Seedance 2.0 Image to Video, with a start frame and an optional end frame, a 5,000-character prompt box, a prompt optimizer, a translate option and a sound toggle. Settings vary by model but can include duration, aspect ratio, resolution (from 480p up to 4k on the default model), seed, camera lock and negative prompt. Cost is shown before generation as a per-second rate, so a user can compare providers on price as well as motion style, realism, speed and audio support. A history panel keeps past generations, and the user can refine the prompt or settings and run the clip again. The target audience is marketers, e-commerce sellers, social media creators, designers and character artists who already have a visual and want it to move. Listed use cases include product and packaging motion for ads and landing pages, portrait and avatar animation, vertical clips for short-form platforms, and motion previews of concept art, posters, storyboards and moodboards. Flaq AI sits between single-model video tools and API aggregators. The wider site groups image, video, 3D, voice and LLM APIs, an AI canvas in beta, and an MCP server, and the page itself points to stable API workflows for developers. That breadth makes it a reasonable choice for people who want to test several providers behind one account instead of subscribing to each. The trade-off is that results and options depend on whichever underlying model is chosen, and the page leaves detailed answers on commercial use and plan pricing to deeper pages.