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Visual artist and general producer of AD in the Head Victoria Sayfutdinova shared her approaches to creating convincing neural network videos. She spoke about the importance of combining creativity and technology to achieve maximum impact in visual content. In her work, Victoria focuses on how neural network technologies can transform ideas into vibrant and memorable visual works, creating a deep emotional connection with the audience.
Just two years ago, artificial intelligence in content was a source of excitement. Brands enthusiastically embraced new technologies that allowed them to create images and videos. Using AI in content has become an essential tool for engaging audiences and improving customer engagement. As technology advances every year, companies continue to find new ways to use AI to optimize their content and improve its quality.
Today, the situation has changed. Audiences have become more demanding, and eliciting a positive response is becoming more difficult. Even flawlessly crafted images using artificial intelligence are no longer impressive. If an image lacks meaning, emotion, or idea, it can only irritate. A prime example of this is Coca-Cola's 2024 Christmas ad, which provoked a backlash on social media. It's important to consider that today's consumers seek not only visual appeal but also a deep connection with a brand. In this article for Skillbox Media's Marketing team, we discuss why videos created using artificial intelligence can be off-putting to viewers. We'll explore how to make such videos engaging and engaging, as well as which neural networks can assist in this process. Understanding the peculiarities of content perception and the use of modern technologies will allow you to create high-quality video materials that can interest the audience and increase the effectiveness of marketing campaigns.
- Why the audience is put off by videos and images created by AI;
- How to create non-cringe videos using AI;
- Which neural networks will help with this.
Why the audience is not impressed by AI videos and images
Since brands began actively using neural networks to create visually attractive content, the "beauty" effect has begun to lose its appeal. There are several key characteristics of AI content that can cause rejection by the audience. Firstly, there is a lack of individuality: content created by artificial intelligence often looks formulaic and does not reflect the uniqueness of the brand. Secondly, the lack of emotional depth: algorithms are unable to convey genuine human feelings, which reduces connection with the audience. Thirdly, information redundancy: AI can generate content in large volumes, but data overload makes it difficult to digest. To successfully engage with consumers, it is important for brands to consider these aspects and strive to create more authentic and meaningful content.
- Cost-baselessness. The excess of AI content devalues its visual impact. The mass availability of neural networks has led to oversaturation.
- Lack of "life". Neural networks create billions of images, many of which are indistinguishable from ordinary stock photos and videos. They do not evoke emotions or the wow factor.
- Superficiality. Without a director's approach, a neural network generates an image, but not a story.
The perception of the Coca-Cola advertisement, which we mentioned earlier, has changed. The basic idea of the commercial remained unchanged, but the execution was less successful due to the limitations of the artificial intelligence technology. This left viewers with the impression of a "lazy" approach from the brand, which, in turn, caused disappointment. Instead of conveying festive emotions like joy and anticipation of a miracle, the ad offered only a parody of them.
The main drawback of this ad is the lack of surprise for viewers. Brands turn to artificial intelligence precisely to create vibrant and original content. However, neural networks alone are not capable of achieving this effect. Impressing an audience requires creative ideas and a fresh take on familiar concepts. It is important to combine technology with innovative thinking to create truly memorable content that will attract attention and generate interest.
If you are a brand director or marketer and are planning to use artificial intelligence to create a commercial, it is important to properly organize the process with your team. This will ensure that the final video not only captures audience attention but also effectively addresses business objectives. Using AI in content creation opens up new possibilities, but it requires a clear understanding of goals and objectives. Approach the process strategically, considering the interests of your target audience and current marketing trends. This will ensure a successful result and increase viewer engagement.
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Video advertising can be an effective marketing tool, but some of its forms can irritate viewers. Here are six key signs that video advertising is becoming intrusive and unpleasant.
The first sign is excessively long running time. If an ad lasts more than a few seconds, viewers begin to lose interest and may tune out. The second sign is lack of relevance. When an ad doesn't align with the audience's interests and needs, it is perceived as intrusive.
The third sign is an aggressive call to action. Ads that are too persistent in demanding immediate action from viewers can cause a negative reaction. The fourth sign is a lack of originality. Repetitive ads with trivial concepts fail to hold attention and are quickly forgotten.
The fifth sign is excessive use of sound. Loud and intrusive sound can distract and irritate viewers, especially if they are watching the content in a quiet environment. Finally, the sixth sign is a lack of information. Ads that don't clearly present a product or service leave viewers confused and less interested. By avoiding these signs, advertisers can create more effective videos that are perceived positively and remembered.
How to Create a Non-Cringe Neural Network Video: 7 Tips
To achieve a professional result, it's not enough to just launch the neural network and enter a query. It's important to consider several key aspects. Here are seven practical tips to help you create a high-quality video using artificial intelligence, avoiding inappropriate moments.
First, carefully consider the script. A clearly formulated idea and structure will help direct the neural network to the desired result. Second, choose high-quality images and videos that match the theme of your video. This will enhance its visual appeal and connection with the audience.
Third, pay attention to the sound design. Music and sound effects should complement the visuals, creating a harmonious experience. Fourth, don't forget about editing. Proper cutting and transitions between scenes play a key role in creating dynamic and engaging content.
The fifth tip is to test your finished video. Before publishing it, show it to a small group of people for feedback. Sixth, optimize your video for different platforms. Consider the specifics of each social network or video hosting service you plan to publish to.
Finally, stay up-to-date with current trends in video production and artificial intelligence. Constantly updating your knowledge will help you create higher-quality and more in-demand videos. By applying these tips, you can significantly improve your AI results and create truly professional content.
Artificial intelligence is a tool that can achieve results comparable to high-quality, moderately complex video production. A high-quality video should be based on an idea, not a technology. It's important to first determine the emotion you want to evoke and the message you want to convey, and then determine the role artificial intelligence will play in this process. A clear understanding of your goal will help you create more effective and memorable content.
Tip: Focus on what you want to convey, not on the means of conveying it. Clearly articulate your idea, emotion, and core message. Your agency or team can help you choose the optimal tools for implementation using AI, which can significantly reduce your costs and save you time. Using technology in the content creation process allows you to improve the efficiency and quality of work, which is an important aspect in modern business.
An effective script must take into account the unique features of neural networks. Simply creating a plot is not enough. It is important to adapt it to the visual capabilities of the chosen tool. This will maximize the potential of the technology and achieve the desired results when using it.
The optimal solution is to use scripts with surreal elements, as neural networks work effectively with abstract images. At the same time, creating precise details and complex interactions on the screen can present certain challenges.
When working with a script, it is important to determine in advance which scenes may cause difficulties during generation. It's recommended to allow extra time for experimentation or be prepared to make script changes if necessary. If deadlines are tight, it's advisable to stick to proven and reliable solutions. This will help ensure the quality and timeliness of the project.
During the script approval stage, it's important to identify several key generated frames and create a general storyboard. Detailed storyboarding is impractical, as excessive development can negatively impact the quality of the final video. By focusing on key frames, you can preserve the creativity and dynamism of the project while ensuring effective visual perception.
Modern neural networks, which allow for precise control over the result, and those that create realistic images are different technologies. In our work, we prefer to use neural networks, which are less controllable but capable of generating more emotional and expressive frames. This allows us to make subtle adjustments to frames or transitions between them, which significantly enriches the visual content.
It is recommended to agree on 3-5 keyframes and the emotional trajectory of the video, but it is advisable to avoid strict frame-by-frame requirements. This will allow the team more freedom to express creativity when creating a neural network video, which in turn will improve the quality of the final product and make it more appealing to the audience.
This advice logically follows from the previous one. Although it may seem surprising, my clients and I have found that it is more effective to make adjustments to a finished video than to strive for perfection at the storyboard stage. This approach allows us to focus on the final product and streamline the editing process, which ultimately leads to a better result.
Before starting work on a project, we recommend discussing the possibility of changing individual frames in the final version of the video with the team or client in advance. This will save time and avoid unnecessary stress for both you and the team. Modern neural networks allow for efficient and fast frame replacement, significantly simplifying the video editing process.
Artificial intelligence shouldn't be seen as a replacement for traditional video production. It's a completely new tool that offers unique opportunities. It's important to leverage its strengths without dwelling on its weaknesses. If you have to choose between a realistic shot and one that can evoke emotion, choose the latter. Emotional connection with the audience is often more important than an accurate reproduction of reality, and it can make your content more engaging and memorable.
Tip: Instead of resisting inaccuracies, consider using them as an artistic device. Animated glitches often create a unique atmosphere and evoke the desired emotions in the viewer. Using such elements can add depth and expressiveness to your content, making it more memorable and engaging.
The most effective AI videos are between 15 and 30 seconds long. It's important to convey one clear message and one emotional reaction to engage the viewer. Too much information in a single video often leads to information overload and reduced comprehension. Focus on the main idea to maintain audience attention and achieve maximum impact.
It is recommended to create three short videos instead of one long one. Currently, full-length films created using artificial intelligence often look uninteresting and overloaded. Short videos allow you to focus on key points and hold the viewer's attention, making the content more engaging and dynamic.
A NIQ study found that poor-quality visuals in AI-powered advertising significantly hinder viewers' comprehension. This distraction negatively impacts the perception of the main message the brand is trying to convey through the video. High-quality visuals play a key role in successful communication and can improve audience engagement.
All elements, such as character images, plot dynamics, color palette, and musical accompaniment, must be carefully designed and harmoniously integrated into the overall concept. Artificial intelligence can become your reliable assistant in this process, allowing you to create deeper and more holistic works.
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Development of visual acuity and its application in creation Video content
Visual acumen is an important aspect for any video content creator. It implies the ability to analyze and perceive visual works, which contributes to the improvement of the quality of your videos. To develop visual acumen, it is necessary to regularly study various forms of video content, including films, documentaries, commercials, and vlogs. This will help you understand how different artistic techniques and methods influence audience perception.
When creating video content, using visual acumen not only allows you to improve your storytelling but also to choose the appropriate visual and audio elements for your project. By analyzing the work of other creators, you can identify successful editing, color correction, and composition techniques that you can adapt to your needs.
Also, pay attention to audience interaction. Studying comments and reviews of various videos will help you understand what exactly resonates with viewers and what, conversely, turns them off. This knowledge will form the basis for creating more engaging and marketable content.
Ultimately, a well-developed visual awareness will not only enrich your creative process but also improve the quality of your video projects, making them more professional and engaging for viewers.
Start by clearly articulating your idea, emotion, or message before considering how to implement it. Identify the key message you want to convey, and then let your team or agency suggest how it can be expressed using AI technologies. Using AI can significantly optimize your costs and save time on project implementation.
When developing a script, it's important to identify in advance which scenes may present challenges during generation. It's recommended to schedule additional time to experiment with these areas or be prepared for minor script revisions. If deadlines are tight, it's worth focusing on proven and reliable solutions to ensure the project's successful completion.
It's recommended to agree on three to five key scenes and the emotional dynamics of the video, while avoiding rigid frame-by-frame instructions. This will allow the team to maximize their creative potential when creating neural network video.
It's recommended to discuss the possibility of replacing individual frames in the final version of the video with your team or client in advance. This will save time and avoid unnecessary stress for both you and the entire team. Modern neural networks provide quick frame replacement, which significantly simplifies the editing process and improves the overall project result.
Recommendation: Instead of struggling with inaccuracies, use them as an artistic device. Animated glitches can give a work a unique atmosphere and create the necessary mood. Let imperfections become part of your creative expression.
Creating three short videos is preferable to one long and content-heavy one. Currently, full-length films created using artificial intelligence may lack interest and appear ineffective. Short videos allow you to focus on key moments, hold viewer attention, and convey your main message more dynamically.
Which neural networks are best for working with video content?
In a team of talented artists, each artist has a unique style. Likewise, neural networks, while possessing similar functions, can handle tasks differently. In this section, I will discuss seven neural networks that my team and I actively use. Using these artificial intelligence tools in video production significantly improves the quality of the final product.
Neural networks are an excellent tool for generating images, creating references, and finding a visual style. Thanks to their algorithms, they can analyze large volumes of data and generate unique visual solutions. Using neural networks in design can significantly simplify the process of finding inspiration and accelerate the development of creative projects. These technologies open up new horizons for designers, giving them the opportunity to experiment with shapes and colors, as well as find original visual concepts.
By interacting with a neural network, we can achieve results that outperform all available alternatives. We start with a simple query and analyze the options the neural network suggests. Then we continue to refine the results, specifying which colors, lighting, details, and angles should be added. This approach allows you to get unique and high-quality images adapted to specific requirements.
The neural network is not available to users with Russian IP addresses. Access to the service requires a paid subscription, which starts at $10 per month.
The neural network effectively processes dynamic camera pans, landscapes, and "live" characters. The technology allows for video format changes and the generation of missing parts. However, creating static frames remains a challenge.
Sometimes a neural network may incorrectly animate an image if it doesn't recognize a face or body. This often happens when the person in the image is depicted in an unusual pose or setting. In such cases, it is recommended to simply regenerate the image. Generating a new image is often more effective than trying to correct an "almost successful" one. This advice is relevant not only for the Luma neural network, but also for other similar tools.
The service includes a trial period with a limit on the number of videos viewed. A paid subscription starts at $9.99 per month.
A multifunctional neural network that efficiently processes video is ideal for video-to-video and lip-sync tasks. It also offers styling options, making it a versatile tool for creating high-quality video content.
Use this life hack: upload your video and superimpose the character's image on it. As a result, you will get a "double" that will be synchronized with your mouth movements. For voice-overs in English and Chinese, the quality of the final result is usually high.
Availability: A free plan with quality limitations is offered. A paid subscription starts at $12 per month, but users in Russia may have difficulty paying, even when using cards from other countries.
A universal tool for animation and lip-syncing that successfully solves a wide range of problems. However, it is worth noting that the colors and lighting in the frame are quite sharp and contrasting.
Use keyframes to improve generation efficiency. This will allow you to optimize the content creation process and achieve better results. Keyframes serve as the foundation on which the entire structure is built, allowing you to focus on the main points and improve the quality of the final product. Applying this method to your project can significantly speed up the workflow and increase its efficiency.
Availability: There is a free version with certain limitations. A paid subscription is available starting at $6.99 per month.
With this technology, you can easily create and refine characters, train models based on the selected hero, and generate 3D objects from a text description or image. The neural network effectively preserves the recognition of characters' faces and objects in various scenes, making it an indispensable tool for game and animation developers. Using this system significantly simplifies the visual content process, allowing for the creation of high-quality images and models in the shortest possible time.
When creating an avatar for ATB Bank, the key was to maintain the character's recognizable face in various situations, such as walking or working on a laptop. Krea achieved this with the first request, while Midjourney required generating multiple images to achieve the desired result. This underscores Krea's effectiveness in creating high-quality and targeted content.
Images generated in Krea have a more artistic style than realistic. The choice between Krea and other neural networks depends on your goals. If you need high-precision character rendering, Krea is the best option. However, if emotion, frame aesthetics, and color and lighting effects are priorities, Midjourney still holds a leading position. In addition, the new version of Midjourney offers advanced facial expression control features, expanding the possibilities for creating expressive images.
To improve the quality of the result, you can further process it with Magnific. This tool significantly improves the final processing quality, making it indispensable for achieving the best results. Using Magnific will provide a more detailed and clear image, which is especially useful in projects that require a high degree of precision and aesthetics.
Availability of the neural network is limited for users with a Russian IP address. There is a free version, but it has reduced functionality. A paid subscription starts at $8 per month, offering more advanced features and access to a full range of services.
The neural network provides highly detailed images, improving textures and sharpness. It transforms blurry photos into high-quality visuals. For example, elements like eyelashes, catchlights, and skin texture become sharp, creating the effect of images taken on the latest iPhone. This allows users to obtain images with a high level of detail and realism.
This neural network is great for preparing images for printing and displaying on large screens. It delivers high quality and precision, making it an indispensable tool for designers and graphics professionals. This neural network optimizes images, improving their clarity and color rendition, which is especially important for printing and large-screen presentations.
Use Magnific AI after generating images in Krea or Midjourney to enhance the quality of your visual content. This tool will help you achieve a professional-level finish in your images by enhancing their detail and overall aesthetic appeal. Optimizing visual content with Magnific AI will make your work more expressive and memorable.
The neural network is not available to users with a Russian IP address. There is currently no free plan. A paid subscription starts at €39 per month.
There is a simple way to quickly upscale a video or increase the frame rate without complex settings. Despite the developers' promises, in practice, the improvement in detail is often insufficient, and image quality remains the same. In this regard, a full replacement of services aimed at increasing detail, such as Magnific, with the help of this neural network does not yet seem possible.
Use a neural network to perform simple tasks, such as creating postcards for the director. If you need a higher quality image, combine it with other tools. This approach will allow you to achieve better results and optimize your workflow.
The product is available as a one-time purchase with subsequent installation on your computer. The cost is $199 for image generation and $299 for video generation. This software allows users to efficiently create high-quality visual materials, making it an excellent choice for design and video production professionals.
The Key to Creating Videos with Neural Networks
Experimentation is key in mastering new tools and technologies. Practice helps you determine which tools are most effective for specific tasks and how they can be combined to achieve the best results. Don't be afraid to explore different styles, going beyond realism. Neural networks open up wide possibilities for creating unique and unexpected artistic works. Harness their potential to expand your creative horizons and find new approaches to realizing your ideas.
To achieve high results, engaging storytelling, a creative approach, art direction, editing, and other key production elements remain essential. Artificial intelligence can help reduce team size, but you shouldn't rely on it entirely. Only a video created with high-quality production values can capture your audience's attention and generate a positive response. The combination of human creativity and technology will provide maximum impact and allow you to stand out from the competition.
Skillbox Media articles about neural networks and their application in various fields.
- Top 12 free neural networks for generating and editing images
- Prompts for neural networks: how to correctly write queries to ChatGPT and other neural networks
- How to use ChatGPT and Midjourney in CRM and email marketing: instructions and prompts
- How marketers can generate ideas using ChatGPT: tips and techniques
- We tell you how to make money on neural networks, even if you are not very familiar with them
