Need a Tutorial for Making AI Videos / Short Films? Use NadouPro from Script to Final Cut
Need a tutorial for making AI videos or short films? Use NadouPro to walk through a reusable workflow from script to final cut: define the shot, prepare references, storyboard, generate, review, and edit.
Need a Tutorial for Making AI Videos / Short Films? Use NadouPro from Script to Final Cut
If you are looking for a tutorial on “making AI videos / short films,” first narrow the goal into a reusable pipeline: decide what one shot needs to say, prepare references, create the storyboard, then generate, review, and edit. NadouPro works well as an all-in-one practice space for this chain—Workbench moves through “script → subject → storyboard → production,” while the canvas workflow lets you freely arrange the same steps with nodes.
This article is for beginners making their first AI short film, as well as creators who want to turn scattered generations into a stable process. After reading it, you should be able to complete a 15–60 second test short on your own, know where NadouPro fits, and understand how to judge whether the result is usable.
What this tutorial can help you create
The expected output is a draft short film with a clear subject, one main action, and clips that can be edited together—not a one-click “viral finished film.” It is suitable for Text to Video beginners who only have a written idea, Image to Video creators who already have character or product images, and traditional film and video professionals who want to use AI for early previs.
NadouPro’s role in this task is not to skip creative judgment for you, but to keep the script, character references, storyboard, generation, editing, and iteration in the same project, reducing back-and-forth exports across multiple tools.
What to prepare before you start
Answer five questions before opening the tool: who is the subject, what action should happen, where is the scene, what shot size and camera movement should the image use, and what does the audience need to hear? If you have a clear character or product appearance, prepare 1–4 reference images with even lighting and readable faces or details. If you only have an abstract mood or landscape, you can start with Text to Video.
On the account side, you only need to be able to open the web version. For your first film, it is recommended to serve only one shot intention, such as “a close-up of a backpack slowly dollying in” or “a character opens the door and walks into a rainy night street,” instead of writing a complete short drama right away.
Workflow overview: from idea to publishable draft
- Choose an entry point: beginners should prioritize Workbench; use the canvas when you need to freely adjust nodes or revise a clip through conversation.
- Write a clear script or one-sentence scene, and use a Text node to organize the outline and scene breakdown.
- Use Image node or the subject stage to lock in character or scene references; enable Image Fusion when you need multiple angles.
- Use Storyboard to break scenes into a shot list, then enter Video node for generation.
- Start with faster, lower-resolution test shots, then upgrade quality after confirming the direction.
- Review the footage with a checklist, change only the weakest link, and rerun it; finally, assemble the clips in Clip and export.
Step-by-step operation: inputs, actions, and checkpoints
Step 1: Choose a path and write a clear prompt
If a specific person, product, or object needs to appear consistently, prioritize Image to Video. If you have no reference image and are leaning toward an experimental mood, use Text to Video. The prompt should cover “subject + action + scene + shot,” for example: “a leather backpack placed on a wooden tabletop, a hand slowly lifts the backpack, sunlit studio, slow dolly-in close-up.” Avoid only writing vague adjectives such as “very beautiful” or “very stunning,” which cannot be executed.
In NadouPro, you can put this prompt into Video node. If the scene comes from a longer story, draft it first in a Text node, then let Storyboard identify the characters, scenes, and props.
Step 2: Storyboard first, then generate
The most common failure in AI short films is not a slightly weak prompt, but skipping the storyboard and generating directly, which often leaves you with clips that cannot be edited together. The value of storyboarding is that it locks down each shot’s narrative function before you spend resources on generation, maintains character and scene references, and determines rhythm and cut points in advance. Revising one storyboard frame is usually much cheaper than rerendering a finished clip.
The stage output should be a shot list: for each shot, clearly write the intended duration, shot size, perspective, and camera movement. Storyboard can split shots with one click. When you need more precise blocking and camera placement, use 3D Director to work it out instead of continuing to lengthen a single prompt.
Step 3: Test shoot, review, and iterate
After the first generation, go through a six-item checklist: whether the main action is completed, whether the subject is stable, whether the camera movement is smooth, whether changes in lighting and background are natural, whether the sound matches the image, and whether the action unfolds sufficiently within the clip length. Change only the weakest item each time—the action, camera direction, timing, or reference image—then compare the old and new results.
The canvas workflow is suitable for this step: images, videos, audio, and Storyboard can be rerun separately without tearing down the whole chain and starting over. You can also use Agent to describe in natural language what needs to be changed, letting the assistant call the corresponding node. After the clips meet the standard, enter Clip to assemble them, add narration or music, and export the final version for publishing or further fine editing.
How to handle common beginner roadblocks
When the prompt is too vague, complete the four elements and delete empty adjectives. If you need a specific character but use Text to Video and the result keeps “changing faces,” switch to Image to Video and add multi-angle references. Starting with high-definition long takes can easily waste resources during trial and error, so first run the workflow at lower quality, then upgrade. When a character drifts across shots, fix the same set of subject assets, use Image Fusion or multiple references as anchors, and refine the face locally if necessary, instead of blindly regenerating the entire segment.
FAQ
What should I prepare for my first AI short film? How do I choose between Text to Video and Image to Video?
Prepare a one-sentence scene description, optional reference images, and a scope of “only one main action.” If you have a clear character or product appearance, prioritize Image to Video because the result is more predictable. If there is no visual anchor and the goal is more of a mood experiment, use Text to Video. A prompt that covers subject, action, scene, and shot is enough; one or two specific sentences are usually more effective than a vague long passage.
Why should I storyboard before generating an AI video? What happens if I skip the storyboard?
Storyboarding first locks down each shot’s narrative task, character references, and rhythm, so generation has a unified reference. If you skip the storyboard and generate directly, common results include fragmented clip styles, mismatched characters, and nowhere to place cut points. You should first produce a shot list, then generate shot by shot; changing the storyboard usually costs less than repeatedly rerendering the finished clip.
How do I handle a character’s face changing across shots in an AI short film?
The root cause is that models often generate clips independently and lack identity anchors across shots. The approach is: prepare clear multi-angle references, use character assets or Image Fusion on the canvas to lock in features, reference the same set of subject assets throughout the storyboard sequence, and check facial features and clothing shot by shot after generation. If there are still deviations after occlusion, then apply local refinement.
How should I choose between NadouPro Workbench and the canvas workflow?
If you want to follow fixed steps from script to production, use Workbench; it is suitable for completing the full chain for the first time. If you need free node connections, reruns by stage, or to revise a specific shot through an Agent conversation, use the canvas workflow. Both serve the same goal and can be switched based on project complexity; you do not need to learn two sets of terminology at the same time.
Recommended next step
Open NadouPro and use a test shoot with “one subject, one action, around 15 seconds” to validate the workflow above: run through it once in Workbench, then iterate the weakest shot separately on the canvas. After confirming that the checklist can be passed consistently, expand to a multi-scene short film. Specific model lists, Beans, and benefits are subject to the current product page; this tutorial provides a method framework and does not promise any specific visual effect or distribution result.
Contains AI-generated information that may be incorrect. Please verify independently.