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Maximizing the Potential of AI Generated Video in Production: Practical Strategies for Adopting SORA and Similar Tools

The rise of artificial intelligence in video production has opened up a world of possibilities for filmmakers and content creators wanting to utilize Ai Generated Video in Production.

Checkout our previous post here for insights into this newly released technology by Open Ai, called SORA.

In essence this technology now allows users to leverage Artificial Intelligence to generate video content based on its understanding of a text base prompt.

Prompt: A cartoon kangaroo disco dances.

SORA AI Generated Video in ProductionSORA AI Generated Video in Production

With its ability to create visuals, effects, and even entire scenes, is revolutionizing the industry. However, the technology is not without its challenges, particularly when it comes to iteration and meeting specific creative visions, usually driven by client feedback and requirements.

This blog explores a novel approach to integrating AI into video production, focusing on breaking down shots into elements, leveraging prompts with chroma key understanding, and combining them in traditional post-production processes to enhance flexibility, creativity, and client involvement.

Overall making this new generation of Ai Technology, in its current state, a useable addition to the production pipeline, whilst taking into account the true requirements of Video Production.

Undetsanding AI's Iterative Limitations

AI-generated content can sometimes be unpredictable, making it difficult to achieve precise outcomes or incorporate specific feedback. For more information on why the ability to iterate is important, checkout our post here, discussing the requirements of video production pipelines, focusing on client needs, one being iteration and feedback.

The current state of AI technology means that while it can produce stunning visuals, the process of iterating based on client feedback can be less straightforward compared to traditional methods.

This challenge necessitates a creative workaround that maintains the innovative edge of AI while ensuring the final product aligns with client expectations, otherwise Ai Generation may be locked away to the "Gimmick" or "Impressive Tech Demo" drawer.

Breaking Down Shots into Elements

The key to this approach lies in decomposing complex shots into simpler, manageable elements, elements in which you and the ai both understand. This makes the content that is generated, modular, iterative and a useful part of the video production pipeline.

How can we build shots that utilize Ai generated content, but still allow for changes.

Original. Single Prompt.

Prompt: A cartoon kangaroo disco dances.

By slightly altering the initial prompt. We would aim for something closer to the below, for now here is a single frame example. We would start by generating just our background.

Prompt: A cartoon disco stage is filled in the background with animal fans. Orange, Purple and Blue disco lights shine over head.

Sora Ai generated background plate

We would then use this as our backdrop, but we need a character on a compositable background, to do this we prompt the Ai to utilize traditional compositing techniques.

Prompt: A cartoon kangaroo disco dances, on a flat green background utilizing pantone color 354C, compositable.

SORA Ai generated character on main green composite plate

By instructing AI generators to output these elements against a chroma key green background, creators can maintain a high degree of control over the final composition, even if small amounts of cleanup is needed.

This method allows for each element—be it a character, an object, or a backdrop—to be created separately, providing a modular framework that is both flexible and efficient.

Leveraging Chroma Key Compositing

Chroma key compositing is a technique that has been used in video production for decades, allowing filmmakers to blend separate visual elements seamlessly.

The chroma key composit process powered by Ai

Lets say the client would like to change from our kangaroo friend, to a friendly rabbit.

Currently it is expected that SORA would understand this, but the likelyhood of the background being changed, is quite high.

The client wanted to retain our background and only effect our main character.

Prompt: A friendly cartoon rabbit disco dances, on a flat green background utilizing pantone color 354C.

Sora Ai generated Rabbit disco dancing

By generating AI content with a uniform green background, video producers can easily isolate and manipulate these elements in post-production, allowing for greater control and implementation of feedback, without missing the benefits of Ai content generation.

This not only simplifies the process of incorporating AI-generated content into traditional workflows but also enables creators to experiment with different compositions, effects, and backgrounds without starting from scratch with each generation.

Completed recomposite powered by SORA Ai

Iteration and Client Feedback

One of the greatest advantages of this method is its ability to accommodate changes and feedback.

Since the AI-generated elements are isolated, making adjustments based on client input becomes a matter of reconfiguring these components rather than re-generating the entire shot. Risking changes to the content that the client didnt want.

This modular approach significantly reduces the time and resources required for revisions, allowing for a more iterative and collaborative creative process, all with the flexibility of traditional processes.

The Path Forward

While the current solution offers a practical way to integrate AI into video production, it's clear that the technology will continue to evolve.

Future advancements in AI will likely address many of the current limitations, offering even greater precision, flexibility, and creative potential.

Until then, this hybrid approach of combining AI-generated elements with traditional compositing techniques provides a viable pathway for harnessing the power of AI in video production.

The integration of AI-generated content into video production represents a significant shift in how visual content is created.

By breaking shots up into elements and utilizing chroma key technology for compositing, filmmakers can overcome some of the current challenges associated with AI's iterative limitations.

This strategy not only preserves the creative vision and allows for client feedback but also sets the stage for a future where AI and traditional video production techniques merge seamlessly. If you'd like to know more, checkout our intial thoughts about Open Ai's SORA in our other post here.


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