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AI & Automation

DALL-E 2 and Midjourney: Starting a New Era in Digital Design and Marketing Content

Aigars Armanovs Aigars Armanovs
• 12.10.22. • 5 min read
Historical Editorial Note

A historical analysis from October 2022 regarding the visual revolution sparked by DALL-E 2 and Midjourney. Today, artificial intelligence is an everyday tool for creating marketing materials and visual metaphors, which we integrate into our brand design systems. Learn more about our design and web development services.

The year 2022 will go down in digital marketing history as the moment generative artificial intelligence stepped out of academic research labs and onto the desks of every creative professional. The waitlist for OpenAI's DALL-E 2 and the explosive growth of the Midjourney Beta platform on Discord are no longer just toys for tech enthusiasts. We are standing on the threshold of a text-to-image revolution that is fundamentally rewriting the speed, costs, and creative thinking behind digital visual content creation.

Key Takeaways

  • Idea prototyping in minutes: Previously, developing visual campaign concepts took days or weeks; now, dozens of visual directions can be tested within half an hour.
  • Two distinct personalities: DALL-E 2 excels at realistic object blending and editing (inpainting/outpainting), while Midjourney offers unparalleled artistic depth and cinematic textures.
  • Prompt Engineering mastery: The core new design skill is the ability to precisely describe style, lighting, camera angles, and composition in structured text.
  • Transformation of the designer's role: AI does not replace the creative director but frees them from mechanical work, becoming the most powerful partner for thinking and creative exploration.

From blank page anxiety to instant visualization

The classic visual content creation cycle in marketing has always been tied to compromises. Smaller companies lacked the budget for photoshoots or complex 3D illustrations, forcing them to rely on impersonal stock photos used by hundreds of competitors simultaneously. Meanwhile, large agencies spent significant time sketching concepts before starting actual work.

Generative diffusion models completely dismantle this barrier. By entering a detailed text prompt, the system gradually builds a high-resolution image from mathematical noise that precisely matches the requested aesthetic, color palette, and mood.

Artificial intelligence creative process workflow diagram
How structured text prompts turn into high-quality marketing assets through diffusion models and post-processing

DALL-E 2 vs. Midjourney and where each tool wins

Although both models are based on similar neural network principles, their practical application differs significantly:

DALL-E 2 strengths: The OpenAI model is trained to accurately understand logical relationships between objects in space. Its unbeatable feature is Inpainting (the ability to select a specific area in an existing image and replace it with something else) and Outpainting (expanding the image boundaries or "un-cropping"). This makes DALL-E 2 an ideal tool for adapting photographs to various advertising banner sizes.

Midjourney uniqueness: From its very first version, Midjourney demonstrated a distinctively artistic and cinematic signature. It creates stunning textures, dramatic lighting, and stylized illustrations. For marketing content creators, social media campaigns, and developing brand visual identity concepts, Midjourney currently provides the most attractive and emotional results.

Practical video review of DALL-E 2 capabilities

To see the technology in action and its potential in the digital world, watch this detailed analysis by Marques Brownlee (MKBHD):

DALL-E 2 operating principles, generation speed, and impact on the future of digital content

How companies can implement AI tools into their marketing process

For companies looking to gain practical benefits today, it is recommended to focus on three directions:

1. Social media and blog post design: Creating unique illustrations for every article replaces boring free stock photos and increases user engagement rates.

2. A/B testing of ad creative concepts: The ability to quickly generate ten different background variations for a product allows for much deeper and more cost-effective advertising experiments in digital channels.

3. Moodboards and idea alignment: Before hiring a photographer or 3D artist, the client and agency can precisely agree on the desired style using AI-generated samples.

Digital technologies and content creation are constantly evolving. If your company is looking for ways to combine innovative solutions with thoughtful sales architecture, learn more about our web development and digital content solutions or contact our experts.

Frequently Asked Questions about AI visual tools

Can images generated with DALL-E 2 and Midjourney be used commercially?
Yes, both OpenAI and Midjourney grant commercial plan users full rights to use generated images in marketing materials, advertisements, and products. However, legal copyright issues are still being clarified globally, so the main emphasis is placed on using images as supporting material.
How can I make an AI image look like a real photograph instead of a drawing?
The key lies in the correct prompt formulation. Include technical photography terms, such as camera type (35mm lens, Hasselblad), lighting type (soft studio lighting, rim lighting, golden hour), and image depth (shallow depth of field, f/1.8), while avoiding overly generic words.
Will generative tools completely replace graphic designers and photographers?
No, the tools do not replace human creative vision, understanding of brand context, and rules of composition. Designers who learn to guide AI models become ten times more productive because they can implement complex ideas much faster and with higher quality.

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Aigars Armanovs

Aigars Armanovs

SEO & GEO Architect & AI Lead | Founder of MMN

Founder of MarketMeNow, SEO & GEO Architect, and AI Automation Strategist with 15+ years of hands-on experience scaling e-commerce and B2B companies.

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