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How Do Text and Images Become AI Videos? A Complete NadouPro Workflow Tutorial

How do text and images become AI videos, and how does the generation workflow run? This NadouPro tutorial covers the full workflow from text or images to a finished video: planning scenes, writing prompts, arranging shots, reviewing generations, iterating, and exporting.

How Do Text and Images Become AI Videos? How Does the Generation Workflow Run? NadouPro Video Production Tutorial: The Complete Workflow from Text or Images to a Finished Video

AI video tools can quickly bring ideas onto the screen, but beginners usually need some practice to describe motion clearly, keep the subject stable, and arrange the pacing of actions. A little more planning before generation will give the creative process a clearer direction.

This article provides a complete workflow starting from text or images: planning scenes, writing prompts, arranging shots, generating and reviewing, iterating, and exporting. Each step explains where to perform the corresponding operation in NadouPro.

Key Takeaways

1. Plan the Scene First, Then Choose the Entry Point

NadouPro video generation has two entry points: if you only have an idea or script, use text-to-video; if you already have product images, illustrations, or character reference images, start with image-to-video, where the reference image provides the visual foundation.

During planning, answer five questions clearly:

In NadouPro, this step can be made more complete: Script Space supports building a story from scratch and can also import a novel for quick organization; storyboard nodes can split a script into storyboards with one click and automatically identify characters, scenes, and props, giving later generation a unified reference.

2. Write Prompts with Structure

After planning the scene, give the model enough detail so it can understand both the visuals and the sound. A practical structure is: scene + subject + action + sound + style, mood, and camera.

Each part should be specific:

Text-to-video needs enough detail to build the whole scene; in image-to-video, the reference image already carries most of the appearance and composition, so the prompt can focus on motion, camera behavior, and sound.

Using a typical scene as an example, a complete prompt can be written like this:

A coastal highway ride at golden hour. A rider rides a vintage motorcycle, and the camera tracks backward from the front in a medium shot, with warm sunlight falling on the road. The rider says in a relaxed, slow tone: no stretch of coast compares to this place. The motorcycle accelerates, accompanied by a low engine roar sound effect. In the background, the sea breeze and distant waves create an open outdoor atmosphere. Cinematic, relaxed mood.

This approach makes the visual direction clear, assigns dialogue, sound effects, and ambient sound to their own roles, and makes it easier for sound and image to match. Models integrated in NadouPro, such as Seedance 2.5 and Kling 3.0 Omni 4K, support synchronized audio-visual generation, so dialogue and sound effects can be generated together with the visuals in one pass; when you are unsure how to describe the camera, the prompt optimization function can help fill in professional camera language.

3. Arrange Shots Based on Action Duration

First think clearly about how much screen time the action actually needs. If the rider only turns their head to look at the camera, one shot is enough; if you also want a wheel close-up, a first-person perspective, and a wider reveal shot, give each moment its own shot so it has time to be clearly seen.

There are two ways to handle multi-shot content:

Using a typical scene as an example, a social media motorcycle short can be split into six shots:

Shot 1: a low-angle rear wide shot, moving forward behind the rider.

Shot 2: a low-angle side close-up focusing on the details of the motorcycle wheel.

Shot 3: the rider’s first-person perspective, with the handlebar and dashboard ahead.

Shot 4: a front medium shot, with the camera retreating in front of the motorcycle as the rider’s helmet faces the camera.

Shot 5: an eye-level side tracking shot with slight lateral movement.

Shot 6: a high-angle wide shot slowly tilting downward as the camera rises; the motorcycle rides deeper into the snow, leaving a winding trail across the white snow surface, with snow-covered forest on both sides.

In NadouPro, Seedance 2.0 and MiniMax H3 support multi-shot output, generating a coherent shot sequence in one pass; for segments involving complex character blocking, put them into the 3D director stage and use visual blocking plus a multi-camera timeline to clarify camera positions, motion paths, and switching timing before generation, with support for exporting videos up to 90 seconds.

If the scene contains dialogue or ambient sound, write these instructions before generation, and the synchronized audio-visual model will handle them together.

4. Generate, Review, and Iterate

After generating the first version, review it with a six-item checklist:

The first result provides a clear starting point for iteration. Change only the weakest link each time: the action, camera direction, timing, or reference image, then generate another version and compare the differences. After a clip meets expectations, export the final version and move into editing or publishing.

NadouPro’s canvas workflow is very friendly to this iteration process: image, video, audio, text, and storyboard nodes can be freely arranged, and whichever part needs changes can be rerun without starting over; the Agent entry point on the canvas also supports conversational creation, so you can directly describe what you want to change, and Agent will call the corresponding node to complete it.

5. Four Habits for More Stable Results

Put only one idea in each shot. Each shot should revolve around one subject and one clear action. A short product video may only need one slow reveal plus one camera movement; if the idea contains multiple actions or story beats, split it into shorter shots.

List the details that must not drift in advance. For recurring characters, lock the face, hairstyle, and jacket; for products, keep a close eye on the logo, packaging color, and label shape. Reuse the same set of reference images so details carry over to new camera positions and backgrounds. The multi-reference mode of NadouPro’s video node supports inputting multiple reference images at the same time, allowing characters and objects to maintain their appearance across shots.

Write subject action and camera movement separately. First write the subject action, such as a car pulling away from the roadside, then add a camera movement, such as tracking beside the car. If the same segment needs to push in, pan, and track at the same time, the image will quickly become cluttered.

Add sound only when there is something to hear. A café shot may only need the light clink of cups and plates and low voices; if music will be added later to a product close-up, generated sound can be omitted entirely. Dialogue should be short enough to fit within the action and video length.

6. Copyright Issues to Note Before Commercial Use

Copyright issues in AI video usually come down to one question: which parts come from your creation, and which parts come directly from the AI system. This distinction is important when you plan to publish, license, or reuse the finished video.

FAQ

Q: How can I generate an AI video using my own likeness?
A: Start with a clear, well-lit portrait, use it as the character’s visual reference image, and then describe the action, camera direction, and environment in the prompt. The clearer the reference image and the more specific the description, the more stable the restoration of the character’s appearance will be.

Q: Do I need to label AI videos when publishing them?
A: Some publishing platforms require disclosure for realistic content that is AI-generated or deeply modified, while minor visual retouching and clearly non-realistic content usually follow different rules. Before publishing, check the policies of the target platform and handle it according to the platform’s requirements.

Q: Why is my AI video inconsistent from beginning to end?
A: A common reason is that the scene asks the model to handle too many changes at once: complex motion, multiple competing actions, and weak reference images can all cause clothing, backgrounds, and facial features to drift between shots. Simplifying the action and using clearer visual references usually provides a more stable direction.

Q: How should I choose between text-to-video and image-to-video?
A: Use text-to-video when you only have an idea and script, and write the details fully; if you already have a satisfactory visual foundation, use image-to-video and focus the prompt on motion and camera. The two can also be combined in NadouPro’s canvas: first use an image node to finalize key visuals, then connect a video node to make them move.

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Contains AI-generated content