How's the ai video? Full professional course from the zero-ai video production
I. What's ai video, the core of ai video production
Ai video generation technology original understanding diagram
Many newcomers are asking how to do an ai video when they are exposed to short video creation, product promotion, and self-service. Ai video is a new type of video that relies on large artificial intelligent models that generate dynamic images of text, pictures, voice-generated motion, person action, scenery, without cameras, teams, complex editing techniques, and truly zero, zero-base, and efficient film。
Traditional video production requires script writing, scenery, material clippings, subtitles, special effects packaging, time-consuming and extremely high thresholds. On the other hand, ai video production relies on deep learning algorithms, automatically deciphering text semantics, matching scenes, simulations of real footage, synthetic audio subtitles, and significantly lowers the video creation threshold。
From a technical point of view, ai video generation is divided into three core logics: text understanding modelling, frame generation, and time sequence dynamic rendering. Ai will automatically generate a continuous dynamic frame based on the key script that is entered, i. E. A simulation of push-and-roll slides, photo-changes, scene details, and eventually a flow of high-level short videos。
Currently, ai videos are widely used from media outlets, product promotion, business science, knowledge-telling, oral animations, reality simulations, and are the most efficient and cost-effective means of video creation in 2026. This paper is a step-by-step effort to provide a complete picture of how to use the ai video from zero, containing processes, tools, scripts, techniques, pits, high-level optimization of expertise。
Ii. Professional differences between iai and general cuts
Alvs traditional video comparison figure
In order to make an ai video, the first thing to do is to distinguish between the nature of the video generated by ai and that of the ordinary clip, which many beginners produce poorly, i. E. Confuses two creative models。
First, creative logic is different. The normal clipping video is the assembly mode of material, which relies on filming or downloading off-the-shelf material, which is a combination of editing software; the ai video is an ai raw generation mode, and all images, scenes, characters, lenses are created by ai intelligence and do not require off-the-shelf material。
Second, production thresholds differ. Traditional clippings require mastery of the pace of editing, turn, modulation and music, with a long learning cycle; aai video requires only input of precision text instructions and a zero base of three minutes。
Thirdly, the original image is different. The clips are prone to duplication of material, homogenization issues and limited flow; ai videos are original-generated images that are unique and suitable for platform recommendations, seo advocacy, and flow from the media。
Fourth, production efficiency is different. A traditional fine video takes several hours to edit; an ai video from script to film takes only a few minutes and is suitable for bulk output。
Fifth, controllable details are different. High-end ai videos support custom-defined lenses, photos, drawings, styles, actions, controlability far beyond ordinary clippings, and are the dominant trend in future video creations。
A brief summary: the normal clip is a modified video, and the ai video is a video, which is the central reason why the ai video has become a corporate publicity and personal choice in the media。
Iii. Pre-preparation for ai video and quick access to zero base
Map of pre-ai video materials and parameters prepared
The production of high-level, fluid, high-quality ais videos is not simply a direct input of text, requires pre-standardization, and is the greatest difference between professional players and newcomers。
First, to specify the ratio of video usage to size. Drawings identified according to the launch platform: shivering, video numbers, light red book selection 9:16 vertical screens; b station, web outreach, science curriculum selection 16:9 cross-screens; square grass video selection 1:1 ratio, fine-fitting platform flow mechanisms。
Second, determine the video style. Ai video supports dozens of styles, such as reality, film quality, secondary animation, jane cope, high-level business cleaning, sand grinding, reality simulation, etc., pre-empting styles to avoid fragmentation。
Thirdly, the planning of video time structure. The best video duration is 15-60 seconds, with one-three minutes of video, one-time video is not recommended by ai, one-part is contained in five-eight seconds, and segments are re-mixed, and the picture is more stable, non-carton-free and non-destructive。
Fourth, prepare the exact script. 70 per cent of aai video is of a script-based character, and vague text only generates blurry images and precision structured scripts for professional high-resolution videos。
These preparations will allow access to the official ai video production process, without the need for specialized equipment, and to computers and mobile phones。
Iv. Ai video core production process, from a zero-complete operational step
Standardized step flowchart for the production of video by ai
Professional ai video production has a fixed standard process, which is gradual and clear and operates according to the following process, which stabilizes high-quality original videos。
Step 1: write a professional ai alert script. A rookie can only write a simple sentence, and a professional script must contain: the main content + scene environment + camera action + photomass + resolution + style parameters. This is the first time i've been able to get an accurate description of the details of the images, the remote view, the light, the weather, the lens pull, so that ai can give a precise picture。
Step 2: select the appropriate aai video generation tool. Mainstream stabilization models support high-level rendering, dynamic nature, non-variant characters, based on demand selection of vincent's video, graphic video, digital video, reality simulation models。
Step 3: set up specialized video parameters. The resolution selects 1080 p/4k high-resolution, frames 24-30 frames, paint-quality over-clear patterns, moderate dynamic intensity, excessive dynamics, easily distorted images, and too low-level images。
Step four: ai one generates the first draft. Submits scripts while they are rendered, and once a single video is generated, checks if the image is broken, if the person is deformed and if the scene matches the demand。
Step 5: division generation, batch fusion. Long videos must be generated in fractions, and each part of the video must be presented independently, avoiding a long period of visual faults, flashing and logical confusion。
Step 6: optimization of synthesis at a later stage. It's a unified voice, subtitles, background music, turnovers, and eventually a high-resolution film。
The process package is standardized and systematized and is currently the most stable and high-quality ai video production workflow in the industry。
V. Ai video-tip writing skills, which determine an advanced sense of quality
High-quality and low-quality indicators figure
The hints are the soul of the ai video and are central to opening the gap between the newcomers and the professional gods. The same tools, different hints, vary from one piece to another。
Specialized ai video alerts for a universal formula:
[main object] + [action state] + [scene environment] + [scene lenses] + [photographic arguments] + [style limits]
For example, professional writings: aluminium alloyed balconies displays, district top balcony scenes, slow-drive landscapes, natural light and perforation, high-cleaning sense of substance, 1080 ps, rich in detail, non-deformed, non-facilable, non-mixed。
It is common for newcomers to make mistakes: sentences are too short, vaguely depicted, without cameras, without physical limitations, and scenes are confused, resulting in the creation of images that are confused, distorted and untrue。
Professional skills:
1. To avoid abstract words by describing them as factually as possible
2. Specific prohibition of words: prohibition of distortion, prohibition of deformation, prohibition of confusion among the five officials, prohibition of flashing of images
3. Each script is single and does not mix multiple scenes
4. The more simple the mirrors are, the more stable they are: the thruster, the puller, the smoother, the better the static feature。
Acquaintances are used, largely with 80 per cent of the core capacity of ai video production。
Vi. Mainstream ai video type classification, no step on demand the pit
Four main main ai video type showers figure
In 2026, mainstream ai videos were divided into four broad categories, with different uses, production methods and adaptation scenarios, and selected on a needs-based basis to match demand accurately。
First of all, vincent's live video. It automatically produces real scenery in plain text, suitable for product presentation, reality promotion, scenery science. It is natural and authentic. It is the preferred option for a network of business officials, short video streams。
Second, tusheng dynamic ai video. Static graphics are dynamic, local, camera-driven, suitable for effects chart display, product static map upgrade dynamic video, highly stable and zero-cut。
Third, the aid population broadcast video. The automatic generation of virtual reality speech is appropriate for knowledge, product introduction, course delivery, without the need for a human face, and for a long-term mass update of content。
Fourth, animated science video. Cartoon animated, briefly mg animated, suitable for industry science, knowledge, common sense and high audience。
Different scenarios correspond to different video types, product promotion priority reality videos, knowledge science priority digital people, animation videos, and precision matching of traffic requirements。
Vii. Advantage enhancing advancements in air vision to elective quality and institution
Ia video later coloring, sounding, subtitle optimization diagram
The first draft produced by ai is characterized by slight colour differentials, unsymphony, subtitling and flat rhythm problems, with lateral refinement being the last step in a high-quality film, ranking and flow subdivision。
First, the picture is uniform. Unified brightness, contrast, saturation, sharpening clarity, removing the ai image and raising the high quality。
Second, precision ai. Select the sound of a natural person, match the speed of speech, the emotional tone and avoid mechanical rigid sound。
Third, autosubtitle correction. "ai" is easy to say, "manually correct" and "professional."。
Fourth, with light background music. The volume is lower than the human voice, does not grab the lead and increases the video atmosphere。
Fifth, the shivering-proof frame. The light carton image is optimized and the picture is smoother。
After a simple post-processing process, the ai video will reach the level of business advocacy and fully meet the standards of use from the media, business outreach, and web presentation。
Viii. Hf error zones for video production and professional pit avoidance guidelines
A. Video breaking error picture
Many of the first-timers' first-time videos of ai are vague, distorted, untrue and unserviceable, stepping on the common industry error zone, with a professional summary of the eight main pits。
Mistake one: script description is too simple, image details are missing, and a blurry。
Mistake two: a single video is too long, leading to a distorted image, a broken character, and a scintillating frame。
Error three: dynamic parameters are too high, images are distorted and objects are drifting。
The error is four: multiple scenes are mixed, ai is unable to identify the subject with precision, and the images are unfocused。
Error zone 5: no prohibition added, deformation, disarray, redundant objects。
Zone six: the picture is flat, unmasked, low flow。
Mistake vii: frequent change of style, unsymmetrical whole style and cheap perception。
Error 8: the resolution parameters are too low to produce blurry and severe compression。
Professional solutions: generation of short clips, precision tips, uniform styles, standard parameters, mandatory lateness, 100 per cent avoidance of all newcomer problems。
Ix. Comprehensive summary: how to qualiate ai views
The ai video is a high-level film that finally presents the panorama
Based on the above, ai video production is not a simple one, but a complete professional system for the creation of phrases, parameter setting, segment generation, post-preparation and consistency of style。
To get an ai video, first to understand the principles of ai generation, to distinguish between aai videos and traditional clips, to plan forward sizes, styles, scripts; to master the all-powerful method of professional tipping, to select the scene, animated, digital video type according to demand; to use the sub-generation model to ensure that the image is stable and to optimize the quality through tuning, sounding, captioning, retrofitting later in the frame, while avoiding common error areas such as distortion, excessive length and vague description。
Short video traffic is highly competitive and original ai video is the best form of content for business product promotion, media orientation and knowledge literacy, based on the advantages of zero-shooting, efficient, high-preliminary and high-fit. Zero-basin can produce bulk-based, professional, advanced, directly releaseable original ai videos, with easy content production, traffic growth and brand exposure, as long as it follows a standardized process。
