The Generic AI Image Problem

By mid-2024, I could spot a Midjourney-generated blog header from three scrolls away. The same desaturated blues. The same soft lighting. The same slightly plastic skin texture on any human-adjacent subjects. It was not just me — readers noticed too. Comments started appearing: "Is this AI?" Not hostile, but curious. And that curiosity erodes trust.

The problem is not the tools. The problem is the workflow. Most creators generate one image, crop it, and slap it on their post. That produces exactly the result everyone else produces. This tutorial is about a different approach.

The Three-Stage Workflow

My workflow treats AI-generated images as raw material, not finished products. It has three stages: Generate, Transform, and Contextualize. Each stage adds distance between the raw AI output and the final visual.

Stage 1: Generate With Constraint

Most people write expansive, imaginative prompts. I do the opposite. I constrain. The more specific the prompt, the less the AI falls back on its training data defaults.

Instead of "a futuristic city at sunset," I use "a Brutalist concrete building at golden hour, shot from street level, Fujifilm Pro 400H, slight grain, no people, limited color palette of warm orange and cool gray." The constraints force the model away from its defaults.

I also generate at least five variations and pick the one with the most interesting composition. Never settle for the first acceptable result. The first result is what everyone else got too.

Stage 2: Transform the Image

This is where most creators skip a step. The raw AI image goes through one or more transformations before it becomes a final asset.

Desaturate or shift the color grade. AI defaults to mid-tone saturation. Pushing toward desaturated film emulation or aggressive color grading immediately separates the image from the default output.

Add grain or texture overlays. AI images are unnaturally smooth. Adding film grain, paper texture, or subtle noise breaks that smoothness. I use Photoshop's noise layer or overlays from RetroSupply Co.

Composite multiple elements. The most original images come from combining AI-generated elements rather than using a single image. Generate a background, generate a foreground element, and composite them. The mismatch between elements is what makes it look designed rather than generated.

Stage 3: Contextualize With Typography and Layout

An image becomes content when it carries information. This means typography, layout, and hierarchy.

I bring every transformed image into Figma or Canva for final layout. The text is not an afterthought — it is the primary design element. The image is the atmosphere. The text is the message. Treating them as separate but equal produces better results than either could alone.

For blog headers, I use large serif type over a partially masked or gradient-faded background. For social, I use bold sans-serif over a central focal point. For thumbnails, the text dominates at least 40% of the frame.

Tool Stack and Costs

Generation: Midjourney Standard ($30/month). Occasional use of DALL-E 3 through ChatGPT Plus for specific tasks like text-in-image.

Transformation: Photoshop ($20/month) for compositing and color grading. Affinity Photo ($70 one-time) is a viable alternative.

Layout: Figma (free tier) for most work. Canva Pro ($13/month) for quick social graphics.

Total monthly cost: $30-63 depending on which tools you already have. If you publish weekly, this pays for itself in saved design time or freelance costs.

Quality Control Checklist

Before publishing any AI-assisted visual, run through this list:

  • Does the image contain any obviously distorted elements? (Hands, text, repetitive patterns)
  • Is the color palette intentional or just the AI default?
  • Would a viewer be able to tell this was AI-generated? If yes, have I added enough human design to make that acceptable?
  • Does the image serve the content or distract from it?
  • Have I checked licensing and terms for commercial use?

If you pass four out of five, publish. If you pass fewer, iterate. The difference between amateur and professional use of AI tools is not the tool — it is the standards you apply after generation.

When to Skip AI Images Entirely

Not every piece of content needs a generated image. If the topic is deeply personal, a real photograph carries more weight. If the content is technical, a clean diagram or screenshot is more useful. Use AI images when you need atmosphere, concept visualization, or visual variety. Do not use them as a default.