Dear Friends and Colleagues,

As we welcome in the new year of 2023, we at WHAT IF Creative Studio are excited to share some of the innovative technologies we are considering incorporating into our video content production starting this year.

We have seen the incredible potential of Artificial Intelligence and Machine Learning in generating stunning visuals and unique content and we are exploring ways to leverage these capabilities to enhance the quality of our projects as well as make our workflows more efficient.

While we believe that AI can be a powerful tool in the world of video content production, it is important to note that it is not a replacement for highly skilled professionals. We believe the combination of human expertise and AI technology can lead to even greater levels of creativity and efficiency.

By using AI workflows, our team is able to focus on the creative aspects of their work, rather than getting bogged down in repetitive tasks. This allows them to bring their unique perspective and talent to bear on the projects they work on, resulting in higher quality content for our clients.

AI text generators, for example, can help with creative copywriting by providing ideas and inspiration, using advanced algorithms to generate unique text based on prompts or parameters. These tools can be useful for generating ideas for taglines and other types of content with short turnaround times. However, it is important to carefully review and revise any text generated by these tools to ensure accuracy, appropriateness, and effectiveness.

Nas holding a NERF inside a NERF

Neural Radiance Fields (NeRFs) are a type of machine learning model that can generate new images of complex 3D scenes based on a set of 2D input images. They work by analyzing the patterns and structures in the input images and using machine learning algorithms to interpolate between them and create a complete, 3D representation of the scene. NeRFs are particularly effective at generating synthetic images for use in digital media.

A NeRF network is trained to map from viewing direction and spatial location to opacity and color, using a technique called volume rendering. This allows it to create new views of a scene that are highly realistic and detailed. However, NeRFs are computationally intensive and can take a long time to process complex scenes. Recent advances in the technology have led to the development of new algorithms that can improve performance and speed up the process and, of course, we're paying very close attention to them.

"large industrial looking office with a long table and chairs in it's center area, with a plant in the middle of the room" - Stock (top left), DALL-E 2 (top right), Midjourney (bottom left), Stable Diffusion 2.1 (bottom right)

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Imagining, Dreaming, Creating

Image diffusion models have the potential to significantly impact the stock imagery industry by making it easier and faster to produce high-quality images in large quantities. While these models are still in the early stages of development, it is likely that they will play an increasingly important role in the industry as they continue to evolve and mature.

In addition to generating new variations of an existing image, image diffusion models can also be used to create new types of animations. By analyzing the patterns and structures in an image sequence and using machine learning algorithms to create new, similar images, these models can be used to generate entirely new animations that are based on the original content.

Another potential use case is in the creation of abstract or surreal animations that are loosely based on real-world references. By feeding an image diffusion model a series of prompts and styles, it is possible to generate entirely new animations that are based on those inputs.

One potential use case for this technology is in the creation of visual effects for film or television, where it can be used to generate entirely new environments or worlds that are not possible to achieve using traditional techniques. For example, an effects artist could use an image diffusion model to generate a range of surreal landscapes or cityscapes based on real-world reference material.

"cucumbers and other vegetables on a table with a basket of garlic and garlic on the side" - Stock (top left), DALL-E 2 (top right), Midjourney (bottom left), Stable Diffusion 2.1 (bottom right)

We are always looking for ways to stay at the forefront of the industry and deliver the highest quality content to our clients. By incorporating AI into our workflows, we believe we can achieve even greater levels of efficiency and creativity.

We hope this newsletter has given you a glimpse into the exciting technologies we are considering for the new year, and we look forward to sharing more updates with you as we continue to innovate and push the boundaries of video content production. While we have highlighted just a few examples in this newsletter, there are many more AI workflows and technologies that we are excited to share with you in the future.

We hope that this newsletter has given you a taste of the exciting possibilities that AI offers for content production, and we look forward to continuing the conversation in the coming year.

Wishing you a happy and prosperous 2023.