The Rise of Asset-Based AI Video Production

AI-based video generation created a lot of opportunities for different creators because you could take a simple sentence and turn it into an animation. As businesses started searching for tools to produce videos, they began to stop looking at experimental tools and realize that while prompts could help a creator get to a point, once they reached that point, creativity would have to go back to traditional methods. 

Now that this has been established, the way creators work with their creative assets has shifted. You could see this change in the most recent version of Dreamina’s video generation model, Seedance 2.5, where, instead of relying solely on text to create things, creators are using the assets they have previously created. 

This new model has caused many marketers, agencies, independent studios, and content producers to begin transitioning to an asset-based model for video production, allowing creators to supply images to AI from pre-existing assets instead of AI generating images from nothing, creating a much closer connection between what was created and what was used in the final product. 

Why creators are stepping away from the prompt-only workflow

Text prompts are still useful. They set up scenes, provide directions for action, and communicate feelings.

However, anyone who has ever undertaken a commercial video-making project knows that a paragraph of text is no recipe for a creative project.

Prior to production a lot of campaigns already have valuable assets.

These often include:

• Product photos

• Brand style guides

• Storyboards

• Character concepts

• Camera references

• Mood boards

Traditional filmmaking uses these materials to get everyone on board about what is going to happen. They eliminate confusion and provide uniformity within departments.

Prompt-only workflows require a lot from AI to assume a lot of things.

With asset-based workflows, there is less guesswork

Rather than relying on the AI’s ability to recognize the exact image of a product, creators can upload images.

Rather than giving a long paragraph of information about what they want the picture to look like, they can give reference pictures.

They can add soundtrack inspirations or storyboard frames, rather than constantly changing the prompts to get the desired tone.

This can increase the efficiency of the process because creators will spend less time on fixing creation results and more time on developing ideas for creating.

Combination of Seedance 2.5’s capabilities and asset-driven creation

Seedance 2.5 is contributing to this change with new features that will facilitate more extensive production workflows.

Multimodality creative fusion is one of its most significant assets. The model accepts a broad range of creative inputs all at once, enabling creators to input storyboard scripts, visual references, role settings, images, sound inspirations, and descriptions of lenses – all from one workflow.

Similar to what professional productions do

A director does not describe everything to the actors in words.

• They gather references

• They analyze concept art

• They plan the shots

• They create mood boards

With Seedance 2.5, creators can now interact with AI in a similar creative manner.

Additional breakthrough is constant 30 second video generation

Extended outputs enable creators to create a more coherent story from one scene to the next without being reliant on external editing tools. A sequence can be used to tell product showcases, brand stories and promotional campaigns.

Seedance 2.5 also introduces the feature of editing part of the scene precisely while keeping the other elements the same, such as lighting and composition of the other scenes or the overall continuity of the timeline.

All these features bring AI generation closer to a production system than it currently is.

Existing assets turn into creative superpowers

There are a lot of companies that already have years of visual material.

The difficulty never lies in asset collection.

It’s been the challenge of using them efficiently.

Imagine a skincare brand is creating a marketing campaign for the season.

There may be a marketing team already established that knows:

• Product packaging images

• Lifestyle photography

• Promotional slogans

• Color palettes

• Brand typography

• Music inspirations

Making videos was previously a process of scheduling, editing, and awaiting edits.

There’s another option in the form of asset-based AI production.

Existing materials can be used to inform the process of video generation 

Rather than creating new visuals, the AI is used in conjunction with existing brand assets.

• This typically results in greater uniformity

• Products retain a recognisable appearance

• Visual styles are in line with brand standards

• Marketing messages seem more purposeful

The creator is no longer just a prompt writer, but instead a curator of creative direction.

• Small teams become enterprise-level

• Accessibility is one of the main factors behind the rise of asset-driven production

• Organized creative libraries have always been essential to large companies

• Small companies were facing difficulties in optimizing resources

AI puts an end to that.

Even if a startup just has a few product pictures and a basic story board, they can jump into quality marketing videos.

Cut to some benefits

One of the benefits of asset-based workflows is that they can offer a number of advantages for small teams:

• Faster concept testing

• Improved brand consistency

• Reduced production expenses

• Greater creative flexibility

• Easier campaign updates

Such efficiencies enable businesses to dedicate more resources to storytelling and audience engagement.

Creativity is more deliberate

There is concern that AI generation takes the creative element out of production.

It is often believed that asset-based workflows promote more creative thinking.

Creators should determine which references would be most effective in conveying the ideas.

• They assess visual styles

• They arrange the plot of a story

• They choose possessions that help with emotional objectives

Less focus on endless prompting re-writes

Rather, creators are using their imagination to put together creative blocks.

AI can then be used to create interactive visual experiences out of those materials.

• This is a process that is similar to directing

• The creator puts the vision in the visionary

• The AI helps to carry out

The relationship between the partnership becomes more and more cooperative and communicative.

Help creators put their assets to work with Dreamina

With access to Seedance 2.5 model, creators can use Dreamina to easily experiment with workflows focused on existing creative materials. From product videos, ads, educational explainers, to social campaigns, creators have the opportunity to experiment with new combinations of images, scripts, references, and stylistic ideas.

Step 1: Get Dreamina Seedance 2.5 up and running

Go to Dreamina, then select their AI Video Generator, called Seedance 2.5. This will allow you to access the official model for creating high-quality AI video content with text, images, and references.  

Step 2: Create your prompt/reference materials

Using existing (and/or uploaded) material as references, create an extensive description of the scene, subject of the scene, subject motion/style, camera style, and visual mood you would like your video to exhibit. 

For example: Create a premium promotional video to advertise the products made by a handmade candle brand, then give details about the specific candle photos you uploaded as references, and portray the candle as softly glowing within a warm, inviting living room atmosphere. Please provide camera direction/smooth panning; camera close-ups on wax texture; smooth camera panning; warm ambient lighting; smooth, elegant/cinematic transitions; calming acoustic music inspiration; the overall luxury of the candle/having the candle; giving the candle realistic reflections; commercialism/but still look sophisticated. 

Step 3: Create your video

Click on ‘generate’ and allow Dreamina Seedance 2.5 to turn your ideas into cinematic AI video content. Review your cinematic AI video for any necessary adjustments. Once approved, save your AI video for use on social media; advertisement; product placement; or artistic creation. 

The future belongs to those who create new things 

AI will eventually move away from using text alone to generate video content. Many of the things we create today will ultimately become valuable to us because they provide structure, consistency, and direction for AI-generated video.

To help creators achieve this goal, Dreamina created Seedance 2.5, which provides an environment where workflows are closer to a professionally produced project than a DIY one will ever be. 

Combined with AI technology developing at a rapid pace, the combination of script, reference materials, images, and creative materials could be a vital part of modern-day visual storytelling for creators who want to produce high-quality video without having to start over each time they want to create new content.