AI Innovation Solution for Coherent Multi - Character and Multi - Scene Microfilm Production

With the continuous development of the film and television market, microfilms, as a new art form, have attracted wide attention. However, the coherent production of multi-character and multi-scene has always been a difficult problem plaguing the industry. WeLinkirt's AI solution brings a new turning point to this problem.

Industry background and user scenarios: In today's digital age, the film and television industry is booming. Microfilms, with their short and concise nature and rapid dissemination, have become a popular choice for many creators and corporate promotions. For user groups such as film and television studios, advertising companies, and independent creators, they hope to tell wonderful stories, convey brand concepts, or showcase creativity through microfilms. A successful microfilm often needs to include multiple characters and rich scenes to present complex plots and vivid pictures. For example, a brand-promoting microfilm may involve different product display scenes and actor interaction scenes. These scenes and characters need to be consistent throughout the film to provide a good viewing experience for the audience.

In - depth pain points: Why is it difficult?

In the production process of multi-character and multi-scene microfilms, there are many pain points. In terms of picture quality, characters in different shots are prone to 'face-changing' phenomena, and the scenes are not coherent enough. This is because traditional production methods have difficulty in precisely controlling the expressions, actions of characters and the details of scenes when dealing with different shots and scenes, resulting in mismatches when switching shots. For example, in a continuous dialogue scene, there may be slight differences in the facial expressions and mouth shapes of characters in different shots, which affects the audience's immersion. The cost of this incoherence is huge, and it may lead to multiple reworks of the film, wasting a lot of time and resources.

In terms of the production cycle, traditional production methods consume a large amount of time and manpower. A microfilm of about 15 minutes may take several days or even weeks to complete. This is because each link requires manual and meticulous operation, from scriptwriting, storyboarding, shooting to post-production editing. Each step requires a lot of effort. Moreover, in the process of multi-person collaboration, the communication cost is also high, and problems such as poor information transmission and duplicate work are prone to occur, further extending the production cycle. According to statistics, the average production cycle of a microfilm under the traditional production method is about 5 days, which is unacceptable for some customers with urgent publicity needs.

Cost control is also a major problem. The cost per minute of the finished film is relatively high, which is mainly caused by factors such as labor costs, equipment rental costs, and post-production costs. In traditional production, it is necessary to hire professional screenwriters, directors, photographers, editors, etc., and their salary levels are relatively high. At the same time, the rental and use of shooting equipment and post-production software also require certain fees. It is estimated that the cost per minute of the finished film under the traditional production method is about ¥930/min. In addition, chaos is prone to occur in the process of multi-person collaboration, and repeated revisions of the manuscript are required, which also increases additional costs.

Technical principle

WeLinkirt's Wemio Physical AI Content Engine and DaoAI World Model provide effective ways to solve these problems. The Wemio Physical AI Content Engine introduces three-dimensional and physical constraints into video generation, simulating the physical laws of the real world. In traditional video generation methods, the actions of characters are often pre-set, lacking realism and coherence. The Wemio Physical AI Content Engine makes the actions of characters conform to physical principles. For example, in actions such as walking and running, factors such as gravity and inertia are taken into account, making the actions of characters more natural and smooth. At the same time, it can also ensure the stability of lighting and spatial relationships under multi-angle camera movements. By accurately calculating the lighting effects in different scenes, it ensures the consistency of lighting across shots and avoids the problem of inconsistent lighting in different shots.

The DaoAI World Model, as a unified base, has the ability to understand semantics and three-dimensional space. It conducts in - depth understanding of the semantics and scenes of the entire story and organically integrates various elements. Compared with traditional methods, traditional methods often simply piece together different shots and scenes, lacking an overall understanding of the story. The DaoAI World Model can fundamentally ensure the consistency across shots and scenes. It conducts semantic analysis on characters and scenes, locks their characteristics, and ensures that there are no deviations in different shots. For example, in different scenes, the appearance, clothing, and personality characteristics of characters can remain consistent, thus ensuring the coherence and logic of the story.

Typical application scenarios

• Scriptwriting: In traditional scriptwriting, screenwriters need to spend a lot of time conceiving plots and character settings. The intelligent agent pipeline of WeLinkirt can generate reasonable plots and character settings according to story needs in the scriptwriting stage. However, the difficulty lies in how to accurately understand the customer's needs and generate high-quality scripts that meet the requirements. This requires the intelligent agent to learn and analyze a large amount of film and television materials and user needs.
• Storyboarding: The storyboarding stage requires precise planning of shots to ensure the cross-shot locking of characters, scenes, and clothing. Traditional storyboarding is prone to incomplete considerations, leading to problems in subsequent shooting and production. WeLinkirt's solution can perform precise planning through its advanced model, but the difficulty lies in how to adapt to different styles and types of microfilms and ensure the rationality of the storyboard in complex scenes.
• Shooting process: During the shooting process, problems such as 'face-changing' of characters across shots and inconsistent scenes are prone to occur. WeLinkirt's technology can monitor and correct these problems in real-time to a certain extent, but the difficulty lies in how to quickly and accurately process a large amount of data on the shooting site to ensure the smooth progress of shooting.
• Post - production editing: Post - production editing requires reasonable splicing of various shots to ensure the smoothness of the story. Traditional editing methods are inefficient and prone to editing errors. WeLinkirt's intelligent agent can complete the editing work efficiently, but the difficulty lies in how to make appropriate edits according to different rhythms and emotional needs.

Implementation case

A small film and television studio with about 10 professional production staff is mainly engaged in microfilm production and advertising shooting. The studio plans to produce a microfilm about 15 minutes long, including multiple characters and scenes, hoping to create a work with a coherent plot and excellent visual effects to attract more customers. Before using WeLinkirt's solution, the studio adopted the traditional production method, with a production cycle of up to 5 days, a cost per minute of the finished film of about ¥930/min, and relatively high monthly point consumption. During the process of implementing WeLinkirt's solution, the studio first trained its employees on the relevant technologies to make them familiar with the new work process and operation methods. Then it gradually transferred the projects to WeLinkirt's platform for production. After a period of use, the studio achieved remarkable results.

WeLinkirt's AI solution has brought a qualitative leap to microfilm production and effectively solved the problem of coherent production of multi-character and multi-scene microfilms.

WeLinkirt's solutions and products

WeLinkirt provides a series of solutions and products. The intelligent agent pipeline of'scriptwriting → storyboarding → film production → editing' connects the entire process from the script to the finished film. In the scriptwriting stage, the intelligent agent can generate reasonable plots and character settings according to story needs, providing a good foundation for subsequent production. In the storyboarding stage, it can precisely plan shots to ensure the cross-shot locking of characters, scenes, and clothing, avoiding loopholes in traditional storyboarding. In the film production and editing stages, the intelligent agent can complete the work efficiently, improving the overall efficiency. At the same time, the team collaboration function supports real-time multi-person collaboration, sharing a point pool, and can also recover the permissions of employees who leave the company with one click, facilitating project transfer and data retention. In addition, the Wemio Physical AI Content Engine ensures the consistency of characters, scenes, and lighting across shots in comics/films, and the actions conform to physics, so that thousands of shots can be connected without breaking down. The DaoAI World Model provides a fundamental guarantee for the consistency across shots/episodes.

Quantitative results: By adopting WeLinkirt's technology and products, the film and television studio achieved remarkable quantitative results. The production cost was significantly reduced, and the cost per minute of the finished film dropped to about ¥650/min, a decrease of about -30% compared with before. This is mainly due to the intelligent agent pipeline improving work efficiency and reducing labor costs and repetitive labor. The monthly point consumption was reduced by about -52%, further reducing the production cost. The overall film production speed was increased by about 2×, and the production cycle was shortened from the original 5 days to 24 hours, greatly improving the production efficiency. At the same time, the cross-shot consistency was significantly improved, and thousands of shots were connected without breaking down, ensuring the high-quality presentation of the film and winning more customers and market share for the studio.

This article was generated by AI. Customer cases are simulated scenarios based on real product capabilities and figures are illustrative; see product pages for official benchmarks.