AI Video Generator for text to video and image to video workflows

An AI video generator is a model that turns prompts, images, or reference clips into video outputs. It helps you test motion, camera ideas, storytelling beats, and marketing concepts without a full production pipeline.

Text to video generation starts from a written prompt and creates a new motion clip from that description. The prompt should describe subject, action, environment, camera behavior, mood, and output format as clearly as possible.

Image to video generation starts from one or more still images and turns them into motion. It is useful when you already have a strong frame, concept image, or product visual and want to animate it instead of starting from zero.

Choose Seedance 2.0 for a quality-focused pass and Seedance 2.0 Fast for quicker drafts and iteration. Match the model to whether polish or speed matters more for the current step.

Generation time varies by model, resolution, duration, queue conditions, and reference inputs. Faster variants support draft loops, while higher-fidelity variants can use more time and credits.

Start with subject and action, then add camera movement, framing, timing, environment, lighting, and emotional tone. For consistent shots, describe what should stay stable across the scene.

Use 16:9 for YouTube, websites, and widescreen ads; 9:16 for vertical social platforms; and 1:1 when you need a neutral social crop. Match the ratio to the final distribution channel before you generate.

Yes. Image to video workflows are useful when you already have an approved visual direction and want to add motion, camera behavior, or alternate pacing while keeping the still frame as a guide.

Higher resolutions and longer durations usually require more compute and more video detail per frame. That extra processing cost is why higher-quality outputs typically consume more credits than fast draft settings.