MidJourney Prompts For Ultra-Realistic Images

MidJourney Prompts For Ultra-Realistic Images

by Matt Wolfe

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 Matt Wolfe 👥 1.0M 📅 March 1, 2023 ⏱ 12 min 👁 372K 📄 tutorial 🧭 2026-08-28
Available in: English (current) Français

Keywords

MidJourneyphotorealismpromptscamera settingsNational Geographic

Summary

Matt Wolfe explores how to generate ultra-realistic images using MidJourney, inspired by a Reddit thread. He breaks down the key prompt elements: clear facial features, cinematic, 35mm lens, f/1.8, accent lighting, global illumination, and upscaling settings. He demonstrates that adding camera-specific terms like lens and aperture produces shallow depth of field and realistic lighting. He also tests a technique from the Maximize channel using ‘Polaroid’ in prompts to create aged, realistic snapshots. Then he applies Linus Ekenstam’s National Geographic formula (animal, shot direction, pose, time of day, film type) to generate stunning wildlife images. Finally, he combines these techniques for portraits, achieving mixed but often impressive results. The video is a practical guide with clear examples and credits sources.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides valuable, actionable information for MidJourney users seeking photorealism. The creator demonstrates each technique with real generated images, showing both successes and limitations. The argumentation is solid, based on empirical testing and community-shared knowledge. He explains the reasoning behind each prompt element, linking camera terminology to visual outcomes. The step-by-step approach makes it easy to replicate and adapt the prompts.

Scientific Rigor, Source Quality, Title Accuracy

The creator rigorously credits his sources: the Reddit thread by Archie7, Linus Ekenstam’s tweet, and the Maximize YouTube video. He provides links in the description. The title accurately reflects the content. The video is a tutorial, not a scientific study, but it maintains transparency about its methods and sources. The community comments are overwhelmingly positive, with users sharing their own results and thanking the creator.

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Title / Content Match

The title accurately reflects the content, which focuses on crafting prompts for photorealistic images in MidJourney.

Quality & Reliability

7/10

The video is a practical tutorial based on community-shared prompts, with clear explanations of camera terms. The creator credits sources and demonstrates results, but the content is anecdotal and not peer-reviewed.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Cited Sources

Concurring Sources

  • Reddit Thread: I entered every fancy keyword that I knew of to... — The original thread that the video is based on, confirming the effectiveness of the prompt.
  • Linus Tweet — Tweet sharing the National Geographic prompt formula, which the video tests and validates.

Contribution & Novelties

The video synthesizes community-discovered prompt techniques into a practical guide, demonstrating that adding camera-specific parameters (lens, aperture, lighting) significantly enhances photorealism in MidJourney. It also validates and combines different approaches, such as the ‘Polaroid’ and ‘National Geographic’ formulas, providing viewers with a toolkit for generating realistic images across subjects.

Pour aller plus loin :

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Radar Profile

The radar profile shows high scores in information quantity and quality, reflecting the practical value and clear explanations. Technical level is moderate, suitable for a broad audience. Reliability is good due to credited sources and transparent testing.

Reliability 7/10

💬 Très positif. Sur les 30 commentaires analysés, les utilisateurs expriment un fort enthousiasme, partagent leurs propres résultats et remercient le créateur pour ses conseils pratiques.