'Behind the scenes' of AI that converts text to video in minutes

With just a few commands, AI can create vivid frames, from the background, lighting to every small movement... How does it do that?

Image creation using AI tools

In the past, to make a video , you needed a camera, a director, actors and hours of editing. Now, with just a few words on the keyboard, AI can create vivid, complete frames from the setting, lighting to every little movement.

Behind this "miracle" is a series of sophisticated technologies that few people know about.

From Text to Image: The First Journey

According to Tuoi Tre Online 's research, when you type a few descriptive sentences, the AI system will first "understand" the content using natural language processing (NLP) technology. Not only does it recognize each word, AI also analyzes the context, emotions, and relationships between elements in the sentence.

For example, if you write "afternoon rain on the old town", the AI will know that this is an outdoor scene, with weather elements, afternoon light and classical architectural scenery.

After understanding the content, the AI moves to the initial static image generation stage. A common technique in this step is the diffusion model, where the AI “paints” the image from a noisy white background until every detail is visible. Every pixel is calculated to ensure that the lighting, color, composition, and style are as described.

Few people know that during this stage, AI can create dozens of test versions and choose the best one before continuing.

Another “secret” is that advanced systems also incorporate huge databases of images, trained from many sources. This gives the AI a memory of millions of details, from the way water reflects light, to the way trees tilt in the wind, so that the first frame looks as natural as possible.

How AI Turns Images Into Smooth Motion

Once the first frame is complete, the biggest challenge is turning it into a sequence of images that feels like it’s moving. The AI uses motion prediction models to visualize how each object will change over time. This is where physics algorithms come in, simulating things like gravity, wind, water, and virtual camera shake.

To keep the scenes from stuttering, the AI uses frame interpolation . It “imagines” intermediate frames between two moments, then combines them into smooth motion. If there are characters in the video, the system also has to process body movements, facial expressions, and eye contact to match the context.

Little-known secret: Before displaying, many AI systems also perform an automated “post-production” step. They adjust the color, lighting, add blur or depth effects to make the video look like it was shot by a professional camera. Some platforms even create appropriate ambient noise and background music, making the final product seem like a real scene.

Thanks to the combination of many technologies, from language processing, 3D rendering, physics simulation, to post-production editing, with just a few lines of text, users can own a complete video. This seamlessness makes many people think that AI is "filming", but in fact everything is built from zero , frame by frame, at a speed that humans cannot match.

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Tuan Vi

Source: https://tuoitre.vn/hau-truong-ai-chuyen-van-ban-thanh-video-trong-vai-phut-20250815190549144.htm