With the image to video ai tool, users can extensively personalize the style of the video. For instance, Runway Gen-2 has over 200 pre-defined styles (e.g., cyberpunk, ink wash style, film grain). And it supports parameter adjustment like motion intensity (0.1-5.0 times speed), color saturation (±30%), and dynamic blur range (5-15 pixels). Its style transfer learning model is trained on a data set of a billion images, boasts 4K resolution output support, retains as little as a 0.09 pixels-per-frame render error rate, and the gamut color has a coverage area of 98% of the DCI-P3 standard. In 2023, Coca-Cola used this tool to produce holiday commercials, reducing the traditional production time from 14 days to 8 hours, lowering the cost per video by 68% (from $24,000 to $7,600), and increasing the click-through rate by 42%.
Technically, the ability of the ai video generator for customization relies on multimodal models. For example, Pika Labs’ “Style Fusion” feature can mix up to three styles of painting (Van Gogh brush + steampunk), adjust picture detail density with a change in weight of noise (range 0-1.0, step 0.1), and preview actual-time light and dark adjustments (range of brightness variation is 5-90%). After the 2024 MIT test, adjustment accuracy in its motion trajectory parameters (wind speed and direction of water flow) is up to 97.3%. When simulating the swinging of leaves with wind speed at 8m/s, physical trajectory deviation is less than 2%. One television documentary crew utilized this capability to convert stationary environmental photos into motion scenes, improving production effectiveness to six times and the expense to only 12% of traditional 3D animation.
Industrial uses have validated style personalization benefits. In 2024, Nike produced personalized sports shoe commercials through the image to video AI tool of Synthesia. After users posted images, AI naturally matched 12 sports scene templates (such as basketball, running) and adjusted the level of integration between video tone and the brand LOGO (color uniformity was as high as 95%). It increased the rate of conversion by 31% and advertising placement ROI to a maximum of 380%. As a case in point, social media personality @DigitalArtistX utilized Kaiber’s “Dynamic Brush” feature to locally increase the brushstroke flow rate on one drawing (5 times faster), and he created a 15-second video that has over 5 million views with a 280% fan growth rate weekly.
Commercial users are catered to with open-source software such as Stable Video Diffusion that supports code-level customization. Developers can modify sampling steps of the potential diffusion model (default 20 steps, range 10 to 50 steps), motion guidance weights (range 0.5-2.0), and even train a LORA model with specific style (at least 1000 labeled images needed). In 2023, the team behind the indie film “Time Crease” rendered classic photos to 4K videos with “time tearing” effects by altering the parameters of time-axis deformation (curvature ±15%), at just 7% the cost of classic VFX, and was a shortlisted entrant for the Innovation Technology Award at the Sundance Film Festival.
However, customization is complicated in computing as well as costing. For instance, the commercial version of DreamStudio allows for uploading a maximum of 10 custom style reference images, while the single render power consumption is as high as 220W and the cost of creating 4K videos is $0.3 per second, 60% higher than for the basic template. According to a 2024 Forbes survey, 73% of small and medium-sized enterprises would rather use predefined templates (saving on average 55% of budget), while only 12% of teams need full-parameter control capabilities. Furthermore, style mixing will also produce copyright dangers – experiments show that when the level of similarity between the input image and the training set is above 82%, the output of the ai video generator has a 3.2% chance of generating copyright problems and has to rely on the compliance review system (with a 1.1% error rate) to escape this. But technological developments continue decreasing the threshold. Canva’s “Magic Style” feature has enabled 8 million recreational users to customize their style, and the frequency of template uses stands at 4.3 per individual per month, showcasing how usability and versatility are accelerating their popularity.