AI in Creativity: Features of Video, Image and Character Generation

The transformation of the creative sector under the influence of generative artificial intelligence has reached the stage of industrial integration. The main development vector has shifted from simple image generation to the creation of complex, controlled, and cost-efficient workflows that enable much faster and cheaper production of video, graphics, and digital characters. Companies adopting AI-driven strategies report a 20–30% increase in advertising campaign ROI.

Traditional photography workflows took two to three weeks. AI-powered photo shoots operate on compressed timelines: project briefing takes one to two hours, image generation from 30 minutes to four hours, and final adjustments up to 45 minutes. This allows e-commerce brands to scale production, as creating 200 images costs nearly the same as producing 20.

In video production, the shift is even more radical. Producing a two-minute corporate video using traditional methods costs around $5,000. Using AI avatars and generative models such as Synthesia delivers a comparable result for about $50, essentially the cost of a platform subscription and a few hours of work by one specialist. Potential post-production time savings reach 70–90%.

Market Analysis of AI Graphics Leaders

DALL-E 3 remains the most business-friendly platform thanks to deep integration with ChatGPT Plus at $20/month. The model shows exceptional ability to understand complex natural language prompts, minimizing the need for professional prompt engineering. It is ideal for creating advertising layouts with precise text rendering, which has long been a weak point of AI models.

Midjourney in 2025 maintains its leadership in concept art and premium social media content. The platform offers a unique system of stylistic references and artistic coherence that creates a “wow effect.” Pricing ranges from $10 to $120 per month, depending on GPU-hour requirements and private mode. Transitioning to a web interface removed the Discord barrier, making the platform accessible to a wider range of designers.

FLUX.1 (by Black Forest Labs) emerged as the breakthrough of 2025, surpassing competitors in photorealistic images and complex infographics. The FLUX.1 Pro model demonstrates the highest level of detail, though generation time is longer compared to Stable Diffusion 3 (16 seconds vs. 5 seconds). It has become the de facto standard for advertising campaigns requiring the illusion of high-end studio shoots.

Stable Diffusion (especially version 3.5) offers the greatest flexibility for developers and large brands needing local infrastructure for privacy or cost reasons. Its open-source code allows creation of custom LoRA (Low-Rank Adaptation) models for accurate reproduction of brand styles or products. Cloud API generation starts at $0.002 per image, making it the most cost-effective solution for million-scale content production.

Comparison of Professional Video Generators

Kling AI has become a community favorite thanks to daily free credit updates (~66 per day) and its ability to generate realistic human motion, rivaling Sora. The platform allows creation of videos up to 2 minutes long, ideal for product presentations or short tutorials.

Runway Gen-3 Alpha remains the standard for professional studios due to its “Motion Brush” tools and precise camera control. The model provides high temporal consistency, enabling the creation of sequential frames that can be easily edited into complete films.

Google Veo 3 offers revolutionary pricing for the premium segment: $0.50 per second ($30 per minute), significantly cheaper than renting professional cameras and lighting for similar shots. The platform targets developers and large agencies, providing access through Vertex AI and integration with the Google ecosystem.

Creating Digital Brand Ambassadors

A major challenge for AI in marketing has long been the inability to replicate the same character across different scenes and angles. In 2025, a comprehensive workflow was developed to solve this issue using a combination of text templates and visual references.

“Character DNA” Concept and Identification Methods

To maintain consistency, the “Character DNA” block is used — a permanent description of the character included in every prompt. It contains anchors: unique facial features, hair color, signature clothing, or accessories.

1. Midjourney cref & cw: The –cref (Character Reference) parameter allows the model to use a reference photo of the character. The –cw (Character Weight) parameter controls the influence level: at 0, the focus is only on the face; at 100, clothing and hairstyle are also replicated.
2. LoRA Technology: These are small add-ons to base models (Flux or Stable Diffusion), trained on 10–25 images of a specific person. After training, the character can be invoked with a special tag, achieving 95–98% similarity under any conditions.
3. IP-Adapter and InstantID: In professional Stable Diffusion workflows, adapters map the facial structure from a reference photo onto the generated figure, preserving identity even under changes in lighting or pose.
4. Face Swapping (DeepSwap, SoulGen): Modern face-swapping tools reach an ID-consistency of 0.96. This allows generating any scene with an anonymous character and then overlaying the brand ambassador’s face with high accuracy, supporting 4K resolution.

Optimizing Advertising Campaigns with AI

Platforms like Adcreative.ai use over 100 million data points to create banners and posts with the highest likelihood of conversion. Analytics systems such as Segwise and GetCrux automatically tag every element of a creative (background color, character type, message tone) and link them to ROAS (Return on Ad Spend) metrics.

1. Hyper-Personalization: AI enables delivering unique content to each customer. For example, OfferFit replaces traditional A/B tests with machine learning that identifies the optimal timing, channel, and incentive for every transaction.
2. Creative Diagnostics: Tools like Neurons and Attention Insight use neurobiological models to predict where consumers will look. This allows validating packaging or banner designs before publication.
3. Content Adaptation: Re-purposing platforms such as OpusClip transform long webinars or podcasts into dozens of short viral clips for TikTok and Reels, achieving over 90% accuracy in detecting key moments. This includes automatic framing (face tracking), adding dynamic captions, and emojis.

UI/UX Design: From Sketch to Functional Prototype

AI tools for UI/UX design focus on eliminating routine tasks, allowing designers to concentrate on user experience strategy.

Platforms like Visily and Uizard let designers upload photos of paper sketches, which AI instantly converts into editable digital mockups. Visily stands out for generating complete user flows — for example, a food delivery app with all screens from search to payment — using a single text prompt.

Figma has integrated AI features that automatically create design structures based on a company’s design system, ensuring interface consistency without manually checking each pixel. For more complex tasks, UXPin provides prototypes with real logic and variables, making them almost indistinguishable from the final product.

Editing and Expanding Content

1. Professional AI workflows go beyond generating content from scratch, including advanced editing of existing assets through Inpainting (replacing parts) and Outpainting (extending the canvas).
2. Adobe Photoshop remains the industry standard thanks to its integration with the Firefly model, which allows adding or removing objects with simple text commands. For e-commerce, specialized solutions like Claid deliver more realistic results when extending backgrounds around complex products such as furniture or glassware.
3. Upscaling: Tools like Magnific and Topaz Photo AI can enlarge images up to 8× (600%) while restoring textures of skin, hair, and fine details — critical for large-format printing.
4. Outpainting in Marketing: Using Flux Fill or DALL-E 3 Outpainting allows adapting a single square product image to multiple formats, from vertical Stories to panoramic website banners, while maintaining lighting and style.
5. ComfyUI Workflow: For technical teams, Stable Diffusion offers the ComfyUI node system, enabling automated chains: generation → upscaling → mask application → logo inpainting. This allows processing thousands of images per day with minimal human intervention.

Future Outlook and Strategic Recommendations

The creative industry is at a stage where AI is becoming the “new Photoshop” — a must-have skill for any professional. By the end of 2025, over 40% of all video editing tasks (color correction, audio processing) are expected to be fully automated.

Key Development Directions for 2026:

• Speech Synchronization: Native video generation with perfect lip-sync in any language (Multilingual Lip-sync) will become standard for global brands, eliminating the need for local shoots.
• Generative 3D Design: AI will increasingly create complex 3D models for games and AR/VR advertising, focusing on correct topology and texturing, tasks that are currently mostly done manually.
• Predictive Packaging: Using digital twins of the entire supply chain, AI will predict packaging wear during transportation and suggest design adjustments to improve durability.

For companies aiming to remain competitive, it is recommended to:

Invest in Proprietary Data: The higher the quality of your portfolio and advertising campaign history, the better you can train custom LoRA models to preserve your brand’s unique voice.

Adopt a Hybrid Approach: Use AI for high-volume tasks (catalog shoots, SMM, banners) while retaining traditional production for flagship campaigns where deep human emotional connection is essential.

Conduct Ethical Audits: Regularly review AI assets for copyright issues and bias in training data to avoid legal and reputational risks.