Built for cinematic motion
A still-image prompt isn't enough for video. Text-to-Video needs movement, camera language, and how the scene evolves — the workbench is structured around all three.
Describe the subject, motion, camera, and atmosphere — then run the prompt through the video model best suited to your scene. Every run is tracked with prompts, model, and credits.
These are standalone tools. You can use them directly, or send a prompt here from one of the prompt-building tools above.
A still-image prompt isn't enough for video. Text-to-Video needs movement, camera language, and how the scene evolves — the workbench is structured around all three.
Pick the model that fits your shot. Each one has different strengths for handheld camera work, fast motion, character animation, or atmospheric scenes.
If your idea is rough, run it through Video Prompt Generator first to get a model-specific cinematic prompt — then drop it into Text-to-Video without retyping.
Video runs cost more than images. The workbench shows credit cost before you commit so longer or higher-resolution clips don't burn the budget by surprise.
Cover subject, motion, camera, lighting, and atmosphere. Use Video Prompt Generator if you need help structuring it.
Sora, Runway, or Kling — each lists its credit cost and supported resolutions.
Wait for the render, then iterate by tweaking only the part of the prompt that didn't work.
Text to Video is an AI video generator that turns a written cinematic prompt into a short clip using models such as Sora, Runway, and Kling.
Text to Video starts from a written prompt only. Image to Video starts from a reference image plus a prompt and animates that frame.
All admin-approved video models on the platform — Sora, Runway, Kling, and other text-to-video systems — appear in the model picker.
Most clips render in 1–3 minutes depending on model, resolution, and length. Status is tracked live in your activity feed.