Beijing Gives Birth to AI Film Studio: Movie Flow Aims to Enable One-Click Movie Making for Everyone

Small consignment booths, each under a square meter, packed with various anime peripherals—young people bend over, carefully examining them. This immersive experience is precisely what Movie Flow is bringing online. Just describe a scene to the AI, and it can generate cinema-grade footage. No cameras, no actors, no crew.

“It’s like giving every ordinary person their own film studio.” This is how Liang Wei, a 16-year veteran of the film and television industry, describes his startup project, Movie Flow. He leads a team that has compressed movie production—which typically requires a team of hundreds and months of work—into “a single click.”

This soon-to-launch tool and community platform could become the next “Xiaohongshu for video content.” Here, microfilms created by ordinary people can gain traffic and revenue, while professional directors can also discover hidden talents among the public.

01 Sixteen-Year Industry Veteran Transitions to AI Film Revolution

Liang Wei is a seasoned professional in the film and television industry, having worked in traditional theatrical film companies for the past 16 years. From 2009 to 2024, he has been involved in film production, investment, marketing, distribution, and even operated a movie theater.

Last year, challenges in traditional film production and industry changes led this veteran to consider a transition. Liang has always been interested in technology and initially wanted to explore whether AI could reduce the cost of animated films.

“We wanted to see if we could reduce the cost and shorten the cycle of animated theatrical films while retaining copyright.” He found that AI not only reduces production costs but also improves efficiency—costs could be reduced to 1/2 or even 1/3 of the original, while efficiency could improve by 3-4 times.

Thus, Liang embarked on his second entrepreneurship venture, fully committing to the integration of AI and visual media. In May this year, the team finalized the direction of “tool + community,” and the product is set to launch soon.

02 Stagnation in Film Technology, AI Breaks the Cost Dilemma

In Liang Wei’s view, traditional film technology has stagnated.

The last true technological innovation in film was 3D movies. “Avatar” sparked expectations for naked-eye 3D, but as pseudo-3D and 2D-to-3D conversions increased, the viewing experience deteriorated.

Special effects technology has also largely plateaued, leading to audience fatigue. Traditional film technology innovation has hit a bottleneck, and without disruptive technology, no significant leaps are expected in the short term.

Traditional film creation cycles are long, often taking years to complete a project. Works created years ago struggle to align with the social mood and audience psychology at the time of release, leading to increasing centralization in the industry.

Resources are concentrated in the hands of big directors and actors, leaving fewer opportunities for newcomers. Return on investment has also declined significantly. In the past, investments of hundreds of millions could yield box office revenues of 1 or 2 billion, but now even 500 million is hard to achieve.

“The only thing AI can do in the film technology space is help the industry reduce costs. Only when costs are lowered can production be sustainable,” Liang emphasized.

03 Intelligent Agent Collaboration Enables Cinema-Grade Image Generation

Movie Flow integrates the world’s top AI video models, including OpenAI, Google, and domestic models like Kling, Jiemeng, and ByteDance. The generated footage has reached a level where it is “hard to distinguish from real.”

The team has packaged the entire film production process and the “entire crew” into an intelligent agent.

This large Agent system contains countless smaller agents—currently six: Screenwriter Agent, Director Agent, Cinematography Agent, Editing Agent, Music Agent, and Personalization Agent.

Ordinary people need not understand lighting or camera angles. They only need to express emotions and intentions, and the system can recognize and complete the shooting, editing, and presentation.

“Just speak to Movie Flow on your phone, and a one-minute video can be created in just over ten minutes,” Liang described. Users don’t need to know how to write scripts, edit, or film, nor do they need to write prompts or operate complex software. They just need to articulate their ideas clearly, and the system can generate viewable content. Users can then fine-tune it based on their preferences.

04 Tool + Community: Building a New Ecosystem for Visual Creation

Unlike other video-generation AIs on the market, Movie Flow focuses more on “narrativity.” It doesn’t just generate a few seconds of footage but enables the AI to understand and output story structures.

More importantly, Movie Flow will build a community alongside the tool, providing a space for creators to showcase, exchange, and discover works, forming a creative ecosystem.

“With just a tool, creators’ works can easily get lost in a sea of content. The community can help works find audiences and collaborators, making the creative process more fulfilling,” Liang explained.

The team positions the app as a “Netflix-style Xiaohongshu” community and plans to launch this tool-and-community platform next month after the tool’s release.

05 Traditional VFX Companies Face Reshaping, Industry Debates Continue

As AI generation capabilities improve, traditional VFX companies face the fate of being phased out or reshaped.

“Film production is shrinking, so the demand for VFX is decreasing. Why use traditional VFX companies when AI generation capabilities are expanding?” Liang believes that in the future, VFX companies will play more of a role in “patching up” the capabilities of large models.

The copyright issues of AI-generated content are also controversial. Currently, AI-generated images are already hard to distinguish from real ones, and the boundary between real and unreal will become increasingly blurred, raising ethical and moral concerns.

However, Liang emphasized that AI is not meant to replace traditional art but to provide creators with more convenient tools to help them express themselves more efficiently. True art still requires human emotion and soul to breathe life into it.

06 Decentralized Future: Everyone Can Create

AI is breaking down the centralized nature of traditional film production.

In the past, film resources and opportunities were concentrated in the hands of big directors and major companies, leaving many talented creators with limited platforms to showcase their work.

Now, anyone can create using AI tools, share their work, and receive feedback and recognition. This trend toward decentralization allows more great stories to be told and gives audiences a wider variety of choices.

“We want to achieve ‘democratization of visual creation,’ just like everyone can pick up a pen and write,” Liang said. “Everyone can shoot, but the quality is another matter: some may just create for fun and share on social media, while others—like former novelists or aspiring directors who lacked access to traditional production—can now create series on Movie Flow.”

The simpler the tool, the more it amplifies the gap between creativity and aesthetics. Creatively capable people are further liberated; many potential great creators were previously too far removed from visual media. Now, one person can produce short dramas, even serialized episodes of 30-40 minutes daily.

07 Next Three Years: Bigger Changes Than the Past Thirty

“The next three years will bring more changes to the film and television industry than the past thirty years,” Liang predicted.

The explosion of AI + film will likely first happen on the consumer end, possibly as early as next year. Video generation capabilities will take another step forward, and the boundary between real and unreal will become even blurrier.

This isn’t something Movie Flow is doing alone; it’s a trend across the entire large-model field. Tech giants like Google and OpenAI have released upgraded versions of video generation models in the past nine months, intensifying market competition.

AI video startups like Runway and Luma AI are seeking large-scale funding to accelerate their布局 in video generation.

The capital market’s optimism about the prospects of generative video technology is a key driver behind the rapid rise of these startups.

Liang Wei predicts: “The next three years will bring more changes to the film and television industry than the past thirty years.”

Google, OpenAI, and other tech giants have already released upgraded versions of video generation models. Startups like Runway and Luma AI are seeking large-scale funding.

As tool efficiency improves and production costs decrease, AI video technology is moving from experimental stages to industrial application.