How To Make Ai Photos

General
1

I keep seeing amazing AI-generated photos online, but every time I try using these tools my results look low-quality, distorted, or nothing like what I had in mind. I’m confused about which apps, prompts, and settings I should be using to get clean, realistic AI photos for social media and projects. Can anyone break down the best tools and step-by-step process so a beginner like me can finally create good AI images?

2

Your results look bad for three main reasons. Wrong tool, weak prompts, wrong settings. Here is a simple setup that works.

  1. Pick the right tool
    For photo style, use one of these:
  • Midjourney
  • DALL·E 3 (inside ChatGPT / Bing)
  • Ideogram
  • Leonardo AI
  • Krea or Pixlr for quick stuff

If you want faces and portraits, Midjourney or DALL·E tend to be more stable.

  1. Start with a clear goal
    Decide 4 things before you prompt:
  • Subject: “a 30 year old woman, athletic build”
  • Style: “cinematic photo, natural colors”
  • Camera: “50mm lens, shallow depth of field, f1.8”
  • Mood and lighting: “golden hour, soft backlight, subtle shadows”

Example prompt:
“Portrait photo of a 30 year old Asian woman, short black hair, light freckles, wearing a white t shirt, standing on a city street at golden hour, soft backlight, 50mm lens, f1.8, shallow depth of field, realistic skin texture, DSLR quality, 8k resolution”

  1. Fix the most common issues
    Problem: weird hands, eyes, teeth
  • Add: “hands behind back” or “hands out of frame” when possible
  • For eyes: “eyes looking at camera, symmetrical face, detailed iris”
  • Avoid asking for too many subjects at first

Problem: low quality, noisy

  • Add: “high resolution, detailed, sharp focus, professional photography”
  • In Midjourney, upscale the image
  • In other tools, export at max resolution, then run through an upscaler like Topaz or free web upscalers

Problem: wrong style
Add clear style words:

  • “studio portrait, softbox lighting”
  • “Kodak Portra 400 film look”
  • “candid street photo, natural lighting”
  1. Use negative prompts
    If your tool supports negative prompts, use them a lot.
    Examples:
  • “no blurry, no distortion, no extra fingers, no text, no watermark, no logo, no glitch, no mutation”

  1. Start simple, then iterate
    Step 1: Get a decent base image.
    Step 2: Slightly tweak prompt, keep what worked, change 1 or 2 things.
    Step 3: Use variations on the best result.
    Most people give up after 1 or 2 gens. Good images often take 5 to 15 runs.

  2. Use reference images
    If your tool supports image input:

  • Upload a pose or lighting reference
  • Add a short text prompt like “similar lighting and composition, realistic portrait, 35mm photo”
  1. Quick “recipe” you can copy
    For realistic people shots:
    “Ultra realistic portrait photo of [age] year old [ethnicity] [man/woman], neutral expression, looking at camera, subtle makeup, [hair style], studio lighting, 50mm lens, f1.4, shallow depth of field, professional photography, detailed skin, 4k resolution”
    Negative: “no distortion, no extra limbs, no blur, no watermark, no text, no cartoon”

For product photos:
“High resolution product photo of a black smartwatch on a white background, soft studio lighting, sharp focus, shot on DSLR, commercial product photography, minimal style”

If you share 1 or 2 failed prompts you used, people here can rewrite them and show you direct before and after differences.

3

Most people focus on prompts first. I’d argue your workflow matters more than the exact wording.

@viajeroceleste covered tools and prompt structure nicely, so I’ll hit the stuff that usually separates “meh” from “whoa”.

1. Treat it like photography, not magic

Bad results often come from “lottery thinking”: type vibes, hit generate, hope. Instead, think like a shoot:

  • Pre‑plan a “shoot”: decide subject, 1–2 angles, 1 lighting scenario, 1 style. Stick to it for 10–20 images.
  • Don’t change everything every prompt. Change one variable at a time: angle, outfit, lighting, etc.

You’re not failing, you’re just doing 20 different shoots with 1 shot each.

2. Your prompt is probably too crowded

I slightly disagree with packing a ton of detail into a single prompt, especially when you’re starting.

Try this pattern:

  1. V1 prompt (broad):
    “realistic portrait photo of a young woman in a city at sunset, natural colors, soft light”

  2. Look at what worked: maybe the lighting is nice but the face is weird.

  3. V2 prompt (refine):
    Keep what worked, add 1–2 clarifications:
    “same style, realistic portrait photo of a woman in a city at sunset, soft light, clean face, symmetrical features, no distortion”

  4. Generate several variations from the best one instead of starting from scratch.

Shorter, focused prompts + multiple small iterations beat one giant “perfect” paragraph, especially outside Midjourney.

3. Dial in the settings for “photo look”

Everyone talks about prompts, barely anyone checks the knobs.

Depending on app:

  • Use “photorealistic” / “realistic” model, not “art” / “anime” / “illustration.”
  • If there’s CFG / guidance scale:
    • Too high: stiff, overbaked, weird artifacts
    • Too low: mushy, off‑prompt
      Try middle values (like 5–8 on a 0–10 style scale) then nudge.
  • If there’s a sharpness / detail slider, don’t slam it to max. High + high scale = crispy cursed images.

And yeah, upscale helps, but if the base is bad, upscaling just gives you HD garbage.

4. Use consistency anchors

When the AI keeps drifting, add a few elements that stay the same every time:

  • Same camera terms every prompt:
    “50mm lens, shallow depth of field, f1.8”
  • Same lighting phrase:
    “soft window light” or “golden hour backlight”
  • Same color feel:
    “natural muted colors” or “warm cinematic tones”

This tells the model “this is our look.” Then you only change subject or pose.

5. Leverage variation tools, not just regenerate

Most apps have some version of:

  • “Variations” on a chosen image
  • “Remix” / “edit” / “inpaint” a region

Use it like this:

  1. Generate 4 images.
  2. Pick the least bad one.
  3. Hit variations on that 2–3 times.
  4. If only the hands or mouth suck, use edit/inpaint just on that area instead of regenerating everything.

People waste time nuking the whole image when only 5% is broken.

6. Photo realism trick: imperfections on purpose

Hyper‑smooth, AI‑looking skin is a giveaway. To push it toward believable:

Add terms like:

  • “slight skin texture, subtle pores, faint wrinkles, soft blemishes”
  • “natural hair flyaways”
  • “slight motion blur in background”
  • “a bit of film grain”

You don’t need all of those at once, but a couple “imperfection” cues help a lot.

7. When your image is “almost there”

Instead of throwing it away:

  1. Download it.
  2. Re‑upload as a reference image.
  3. Prompt:
    “same composition and lighting, fix face symmetry, realistic eyes, professional photo, no distortion”

That locks in the vibe and lets the model “repair” what’s broken. This step is insanely underrated.

8. Don’t chase the exact look of every viral image

A tiny disagreement with the idea that you just need the “right” tool: many of those bangers you see are:

  • Heavily curated
  • Sometimes edited in Photoshop / Lightroom
  • Often the best 1 out of 100 attempts

So if you’re generating 3 images and comparing yourself to a thread full of cherry‑picked 1‑in‑100s, of course it feels off.

Plan for 10–30 generations for a keeper when you’re learning. That’s normal, not a fail.

If you want, drop one of your old prompts + what tool you used. I can show how I’d simplify it and what I’d change first: prompt, settings, or workflow order. Usually one small tweak makes a bigger difference than rewriting the whole thing from scratch.

4

Skipping over what @suenodelbosque and @viajeroceleste already nailed about tools and prompt structure, here are the other reasons your AI photos look off, and what to do about them.

1. Your taste level is ahead of your skill level (which is normal)

The gap is real: you’ve seen enough great images to know yours suck, but you haven’t built “visual instincts” yet.

What to do:

  • Open 10 AI images you love in a grid.
  • For each, literally write down:
    • Camera distance: close‑up, waist‑up, full body
    • Angle: eye level, low angle, high angle
    • Lighting: soft window, harsh sun, neon, backlit, etc.
    • Background type: busy street, studio, solid color, bokeh

Then steal those descriptions. Treat them as “visual ingredients” you can reuse instead of trying to invent wording from scratch.

2. You’re asking for too much in one image

Here I’ll disagree slightly with very detailed prompts: when you’re still learning, every extra element is another way for the model to mess up.

Instead of:

“group of 4 friends, diverse ethnicities, laughing, complex bar interior, neon lights, reflections, detailed background, etc…”

Try a tiny sequence:

  1. Single subject, same setting:
    “realistic portrait of a man sitting at a bar, warm dim light, shallow depth of field”
  2. Once that looks good, add one more person.
  3. Only when duos look solid, move to 3–4 people.

Complex scenes are a skill tier, not a starting point.

3. Your composition is fighting you

Most people never tell the model where to “place” things in the frame, so you get awkward crops.

Use simple composition phrases:

  • “centered composition”
  • “rule of thirds composition”
  • “subject in the lower third, sky filling the top”
  • “tight headshot, shoulders and head only”
  • “full body, feet visible, from a distance”

Then stick to one composition phrase for a batch of images so the model learns your visual intent.

4. Lighting is doing more work than you think

Instead of changing style, outfit, background, and lighting all at once, lock lighting first.

Pick one of these and hammer it across multiple prompts:

  • “soft window light from the left, natural shadows”
  • “overcast daylight, soft diffused light”
  • “golden hour backlight, warm glow, subtle rim light”
  • “studio lighting, softbox from the right, dark background”

Once your “lighting recipe” is consistent, then change clothes / pose / background.

5. You’re ignoring aspect ratio and framing

This is a quiet quality killer.

  • For portraits: try something like 3:4 or 4:5
  • For landscapes: 16:9 or 2:1
  • For product / thumbnails: 1:1 square or 4:5

Then say it in the prompt if your tool listens to text aspect cues:

“vertical portrait, 4:5 aspect ratio, framed from chest up”

If the app has an aspect-ratio setting, match it to what you want the image used for (Instagram post vs banner vs wallpaper).

6. You are not post‑processing at all

This is where a lot of viral stuff pulls ahead of casual users. You do not need hardcore Photoshop, but at least:

  • Slight exposure and contrast adjustment
  • Temperature tweak (warmer vs cooler)
  • Subtle vignette on portraits
  • Tiny clarity / texture bump on eyes and lips only

Even free mobile apps can do this. The pipeline becomes:

Generate → pick best → light edit → maybe upscale

Not:

Generate → post raw image and be sad

7. Resolution and sharpness are being misunderstood

Cranking “8k, ultra detailed, hyper realistic” into every prompt can backfire. It often creates crunchy weirdness.

Try:

  • Use “natural detail, realistic texture” instead of “insanely detailed”
  • If there is a “sharpness” or “crisp” slider, keep it moderate
  • Only upscale after you have an image that already looks good at native size

Upscaling should preserve a good image, not rescue a bad one.

8. Style consistency beats chasing trends

You see one painterly portrait, one neon cyberpunk street, one analog film snapshot, and your next 3 prompts each try a different vibe. The model never gets to “lock in” a style for you.

Pick a “season” of experimentation, like:

  • One week of “soft, natural, lifestyle photography”
  • One week of “studio portraits with dramatic lighting”
  • One week of “Kodak Portra 400 film style”

During that week, keep 80% of your style words the same and only play with subject and pose. Your output will start to feel like it belongs to the same imaginary photographer.

9. Pros & cons of sticking to one core setup

You indirectly asked “which apps, prompts, and settings.” Think of your main stack like a product you commit to for a bit, instead of jumping around constantly.

Pros:

  • Faster learning: your brain starts to predict what tweaks will do
  • More consistent “signature look”
  • Easier to troubleshoot issues because fewer moving parts

Cons:

  • You might outgrow that setup later
  • It can limit more experimental art styles
  • You risk blaming the tool instead of your process, or vice versa

Creators like @suenodelbosque lean more into photography‑style thinking and workflow, while @viajeroceleste gives strong prompt structures and tool picks. Both are valid angles, just remember your own “product” is the repeatable recipe you build, not a single magic prompt.

If you want super concrete help, post one failed image + the exact prompt + which model you used. With that we can pinpoint if the bottleneck is composition, lighting, or the way you’re stacking style terms, instead of just telling you to type “8k ultra realistic” louder.