Perplexity Kills Ads Over Trust Concerns

2026-02-19 · Source: There's An AI For That · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Robotics & Autonomous Systems · Depth: Intermediate, extended

Summary

This content provides a comprehensive guide on generating highly realistic AI images, emphasizing techniques to overcome the "plastic, waxy look" often associated with AI-generated visuals. It highlights the importance of detailed, structured prompting, including specific camera settings like f-stop and ISO, and even the use of dollar signs around f-stop values for improved realism. The guide introduces "reprompting," a method where users feed a real photo to an AI to generate a descriptive prompt, which can then be edited for new creations. It also details post-processing techniques using Adobe Photoshop to add imperfections like image echoes, light artifacts, and dust/scratches, making AI images indistinguishable from real ones, as demonstrated by Google Gemini's inability to differentiate them in tests. Finally, it mentions Leonardo Blueprints as a template-based tool for achieving realistic photographic styles.

Key takeaway

For graphic designers and digital artists aiming to produce AI-generated images that are indistinguishable from real photographs, focus on integrating specific photographic details into your prompts. Experiment with reprompting by analyzing real images and then applying post-processing techniques in tools like Photoshop to introduce subtle, natural imperfections. This iterative approach will significantly elevate the authenticity and quality of your AI art, making it harder for even advanced AI detectors to identify.

Key insights

Achieving photorealistic AI images requires detailed prompting, structured inputs, reprompting from real photos, and post-processing imperfections.

Principles

• Detailed prompts enhance realism.
• Structured inputs improve control.
• Imperfections increase authenticity.

Method

Utilize detailed, structured prompts with camera specifics, reprompt from real images, and apply Photoshop post-processing to introduce subtle imperfections like image echoes, light artifacts, and dust/scratches for enhanced realism.

In practice

• Use f-stop and ISO in prompts.
• Drag real photos into AI for prompts.
• Add blur and film grain in Photoshop.

Topics

• AI Image Generation
• Generative AI
• AI Ethics & Trust
• AI Automation
• Prompt Engineering

Code references

• tambo-ai/tambo
• praetorian-inc/augustus
• awslabs/agent-plugins

Best for: Product Manager, Entrepreneur, CTO, General Interest, Creative Technologist, AI Product Manager

Related on AIssential

• Grounded in reality, new AI model spots fake images with less training — SimLBR detects fake images by learning real ones in latent space, offering computational efficiency and robustness.
• It's all about the angle: Your photos, re-composed — A new Google Photos feature uses ML and generative AI to re-compose 2D images as 3D scenes, enabling perspective changes.
• Apple’s new AI photo editing tools mostly work, for better and worse — Apple's new AI photo editing tools in iOS 27 offer powerful, yet sometimes problematic, generative capabilities.
• Is Richard Tice’s picture AI-manipulated? Here are five giveaways — AI-generated or edited images often exhibit specific, identifiable artifacts like distorted hands or garbled text.
• The AI Illusion (Part 2): The AI Detection Mirage — Current AI image detectors are unreliable, often misidentifying human art or hallucinating evidence.
• Why Most AI Art Prompts Fail. And How to Write Better Ones — AI art generation is a linguistic process where precise prompts are crucial for consistent, intentional image outcomes.

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by There's An AI For That.