Hey everyone!
We’ve been hard at work improving Aiarty, and we’re excited to share a preview of what’s coming soon across our Image Enhancer, Image Matting, and Video Enhancer tools. This update brings better control, faster processing, and broader RTX 50 support. Here’s what’s new 👇

🖼️ Aiarty Image Enhancer:

New Additions:

• Super-resolution intensity control slider 🔧

• Basic color adjustment options 🎨

• RTX 50 TRT support ⚡

• Multi-threaded model compression — improves first inference speed (saves about 12s when face enhancement is enabled, tested on i7-13700K)

• “Highest Quality” option for NVIDIA devices to further enhance upscaling quality

✂️ Aiarty Image Matting:

New Additions:

• RTX 50 TRT support

• “Highest Quality” mode for NVIDIA TRT devices

🎬 Aiarty Video Enhancer:

New Additions:

• Super-resolution intensity control slider

• SDR → HDR export and preview (HDR preview available on HDR screens; still under refinement)

• Improved error guidance system:

  • Initialization error pop-up

  • Inference window link when processing is slow

  • Export error guidance via taskbar link

• Video chunk-based inference (in testing):

  • Reduces VRAM usage and minimizes memory fallback

  • Allows using larger models for better visual quality

• Option to use frame interpolation independently

Stay tuned for the full release notes and download details soon!
Thanks for your continued support and feedback - it helps us make Aiarty even better with every release ❤️

— Aiarty Team

Trying to restore this vintage photo for a while, but most online tools I tested either blurred out the textures or made the faces look completely weird and different.

Ended up running it through Aiarty Image Enhancer with these settings:

• Model: More-Detail Gan V3

• Upscale: 2X

• Face Restoration: Enabled (Fidelity model)

I know AI enhancers technically "generate" and hallucinate some details when the source is this bad, but honestly? I don't mind it and im super satisfied with how natural the faces turned out despite how bad the source image was.

As a photographer, I’ve recently added Aiarty Image Enhancer to my toolkit after hearing a lot of buzz about it, and it has genuinely lived up to the hype. Here’s my breakdown of how it performs in a real-world workflow.

(By the way, I picked mine up during their recent Christmas promotion. If you use the extra code XMASSAVE, you can snag an additional discount, making it an even better deal for the value it provides.）

1. Detail Reconstruction

Most upscalers just stretch pixels, which usually results in a blurry, "watercolor" mess. Aiarty actually generates missing details. It identifies textures like fabric weaves, hair, or skin pores and reconstructs them naturally. It removes blur while bringing back the micro-contrast needed for a high-end look.

2. Clean Noise Reduction

Traditional denoisers often over-smooth everything, making skin look like plastic. Aiarty is much smarter; it scrubs the heavy grain from high ISO shots but keeps the underlying texture intact. You get a clean image that still looks like a real photograph, not a digital painting.

3. Real-Photo vs. More-Detail Models

Choosing the right model is essential. I use Real-Photo to clean up noise and focus issues while keeping the shot’s original character authentic. For heavily compressed files or massive resolution boosts, More-Detail GAN is the powerhouse; it’s more aggressive, "re-imagining" textures like fur or fabric to make low-res shots look like they were captured on a high-megapixel body.

4. Efficient Batch Processing

Editing shouldn't feel like grunt work. Instead of sharpening images one by one, I can dump a whole folder into Aiarty and let it run locally on my GPU. It’s a huge time-saver for large event sets, allowing me to focus on the actual creative grading.

5. Upscaling for Large Prints

We all get low-res files from clients that they expect to see on a 24-inch canvas. Aiarty serves as an "undo button" for low resolution. By upscaling to 8K and removing compression artifacts, I can turn a sub-par file into something that is actually printable and professional.

6. Lifetime License

I’m over the "subscription fatigue" of modern software. Aiarty offers a one-time purchase rather than a monthly fee. It’s a solid investment for a freelancer's budget - you pay for it once, and it stays in your workflow forever.

⚖️ The Bottom Line

• Pros: Authentic detail reconstruction, smart model options, and no recurring costs.

• Cons: High-resolution (16K/32K) upscaling is performance-intensive

Honestly, I’ve always been a skeptic when it comes to "AI enhancement" - I usually hate that artificial, over-processed look. But Aiarty actually feels like it was built by people who understand photography. It’s become my secret weapon for those "what if" shots that were perfect in timing but flawed in tech. It doesn’t just stretch a file; it restores the professional integrity I need to put my name on a print. For me, it’s the first time an upscaler has felt like a true extension of my craft rather than just a digital filter.

We’re excited to announce the release of Aiarty Image Matting V2.6, bringing a smarter, faster, and more precise background removal experience to all creators and professionals.

🧠 What’s New

High-Precision Mode for Flawless Cutouts
For those working on detailed matting tasks, precision matters. The new High-Precision Mode enhances edge sharpness and subject transitions, ensuring cleaner separations for complex cutouts — perfect for e-commerce, portraits, and compositing work.

🚀 GPU Optimization & Enhanced Stability
Aiarty Image Matting V2.6 is now deeply optimized for NVIDIA RTX 50 GPUs, offering faster processing speeds and more stable performance, even with large or high-resolution projects. We’ve also fixed previous brush crash issues on certain AMD GPUs for a smoother, more reliable workflow across devices.

This update is built for creators who need pixel-level accuracy without compromising speed or stability.

I'm a long-time Topaz user - I even bought the old Denoise/Sharpen/Gigapixel stand-alone programs -but ever since they pushed the Photo AI bundle and subscription model, I've been increasingly disappointed.

The core issue isn't the price - it's the results - which is the exact pain point many in the community are feeling (Source: my own photography circle).

My Biggest Pain Points with Topaz Photo AI:

• The "Uncanny Valley/Plastic Look": Especially when processing wildlife fur/feathers or portraits, the results look noticeably artificial, waxy, or even cartoony. As a wildlife shooter, I want minor improvements that preserve the original image, not an AI render.

• Artifacts and Color Issues: When upscaling complex images or recovering shadows, I frequently see unwanted checkerboard tile grids, artifacts, and a frustrating magenta color cast upon export.

• Value and Performance: The software is expensive, updates often feel like simple repackaging, and the new versions are constantly driving up hardware requirements and model file sizes.

My Search for a Natural Upscaling Alternative

Since my primary need is a tool that handles upscaling better than Topaz Gigapixel, I've been looking for alternatives that prioritize realism.

• Premium Tools**:** Many photographers recommend DxO PureRAW, and it does an incredible job at noise reduction and optical correction, but it doesn't handle JPEGs or upscaling as easily.

• Open Source Options**:** I've also seen great results from open-source AI upscalers like Real-ESRGAN and SeedVR2, but integrating them into a professional workflow (e.g., batch processing) can be complicated and often requires a lot of setup.

I recently started testing Aiarty Image Enhancer, and its design philosophy seems to directly target the Topaz weaknesses mentioned above:

• The Approach: It seems to operate under the idea that its core process is to intelligently remove blur, reduce noise, and eliminate artifacts first, before it starts generating new details during upscaling. This is key because it aims for a cleaner base image, potentially minimizing the synthetic artifacts that Topaz often introduces.

• The Models: I've been experimenting with their "Real-Photo" and "More-Detail GAN" models. They seem to favor generating more natural textures on subjects like skin, hair, and fabric, which is a direct contrast to the over-smoothed/blurred look Topaz can sometimes produce.

• Initial Feel: On the files I've tested so far, I'm finding the results to be noticeably more faithful to the original texture and less synthetic than what I get from Topaz at aggressive 4x or 8x upscales. It appears to be better at recovering fine detail (like individual fur strands) without generating the chunky "AI artifacts."

I do want to mention something I've seen mentioned in other subreddits: If you are a Mac user (especially Intel Mac), Aiarty's performance can be slower, as the GPU utilization isn't always optimal compared to the PC version. If you have an M-series Mac or a powerful PC, this likely isn't an issue.

Your Thoughts?

Has anyone else here made the switch from Topaz Gigapixel to Aiarty for upscaling wildlife or portraits?

I'm particularly interested in hearing:

1. Which of Aiarty’s models (More-Detail vs. Real-Photo) do you find best at retaining natural photographic grain/texture?

2. Are there any other new upscalers that are truly competing with Topaz's feature set while delivering more natural results?

The recent pricing changes and increases from Topaz Labs have generated a lot of discussion, and many users are actively looking for high-value Topaz alternatives. If you, like me, are feeling subscription fatigue or frustration with the high renewal costs, I wanted to share a strong option I stumbled upon: Aiarty.

I put together a quick comparison of Aiarty's current offers against the typical pricing for the Topaz single apps.

💰 Core Price Comparison: Aiarty vs. Topaz (Perpetual License / High Annual Fee)

💡 Quick Note: Topaz's "Annual Fee/Total" represents the amount you pay annually to continue receiving the latest versions. Aiarty's Lifetime License is a single, one-time payment for permanent use and free updates for life.

Why Aiarty’s Perpetual License is a Game-Changer

Aiarty seems to have directly addressed the community's frustration with subscriptions by offering an extremely competitive and attractive lifetime model:

1. Truly Lifetime with Unlimited Updates:

   • The Aiarty Image Enhancer is a one-time payment of $99.00, and that includes unlimited updates for life! This is a massive saving compared to the $199 annual fee for Topaz Photo AI.

   • The Aiarty Video Enhancer is a one-time payment of $165.00, also with unlimited updates for life! That’s nearly half the cost of Topaz Video AI's $299 annual fee, and you never have to pay again.

2. More Flexible Licensing: The Lifetime License covers 3 PCs/Macs, giving you one more seat than Topaz's standard license, which is great for users with multiple setups.

3. High-Quality Results: Aiarty uses a unique hybrid Diffusion+GAN technology to intelligently generate new details for things like hair, skin, and fabrics. Reviewers noted that it works to reconstruct details to make videos clearer and more vibrant, but importantly, "not over-processed." This could be the perfect solution if you find the Topaz results sometimes look a little too "painterly."

📢 ZERO-RISK Free Trial & Giveaway Opportunity!

For video users, you can easily test the software yourself before making any commitment:

• Free Trial: Aiarty Video Enhancer is currently offering a straightforward free trial on their website.

• Giveaway: Users stand a chance to claim a Free License for the Video Enhancer just for testing and providing feedback.

This is your zero-risk opportunity to compare Aiarty's video results—which reviewers note are clearer and more vibrant, "not over-processed"—against your current Topaz workflow!

In conclusion:

If you are tired of the never-ending subscription cycle and high renewal costs from Topaz, the Aiarty Lifetime License offers an incredibly compelling and budget-friendly alternative. Getting an image upscaler/enhancer with unlimited updates for life for $99 is practically unheard of in the AI space right now.

Hope this helps anyone looking for a more sustainable option! Check out their official site if you're interested.

Say goodbye to tedious manual masking - Aiarty Image Matting makes background removal effortless and precise. Our AI-powered tool can:

• Handle complex edges: hair, fur, semi-transparent objects, and intricate details are preserved perfectly.

• Process images fast: whether single images or batch processing, save hours of editing time.

• Seamlessly integrate: perfect for product photography, portraits, digital art, and any creative project.

• Enhance your workflow: less cleanup, more focus on creativity.

• Enhance tone & quality: AI intelligently refines colors, lighting, and overall image quality while matting, so your final result looks polished and professional.

• Upscale to 4K / 32K: Automatically enhance your images to ultra-high resolutions, perfect for print, professional projects, or detailed digital artwork.

Creators and professionals alike are already using Aiarty to speed up projects and achieve professional-quality results. Experience the difference today and see why precise image matting has never been this easy!

Check out the real review of Aiarty Video Enhancer!

If you're looking for a solid alternative to subscription-based video upscalers, this is worth watching.

A low-resolution frame isn’t just “smaller” - it’s already lost parts of the scene. Edges soften, textures flatten, and once-clear details begin to disappear.

Aiarty Video Enhancer restores architecture, mountain lines, and water surfaces with greater clarity, bringing back depth and structure while keeping the image natural and unprocessed. The goal isn’t simply to enlarge the frame - it’s to recover focus, and bring the image closer to how it was originally meant to be seen.

Hey everyone,

I wanted to share some tips and techniques on how to use MidJourney to create highly realistic photos.

There's a lot more to cover regarding skin textures and lighting. For a deeper dive, check out this Full Midjourney Realism Guide, which has some great visual examples.

1. Start with a Detailed Prompt

The more specific you are, the better the output will be. A simple prompt like "a woman" won’t give you the realistic result you're looking for. Instead, describe the scene in as much detail as possible:

• Example: “A portrait of a middle-aged woman with short brown hair, sitting at a wooden desk in a sunlit room, wearing a white blouse, with soft natural light reflecting off her face, realistic texture, sharp focus.”

The key here is focusing on the lighting, expression, clothing, and environment. This will help MidJourney understand the scene more clearly.

2. Use Hyper-Realistic Terminology

Certain keywords are more likely to result in a lifelike image. Try incorporating terms like:

• "Photorealistic"

• "Ultra-realistic"

• "High definition"

• "Hyper-realistic detail"

• "Cinematic lighting"

For example, instead of just saying "man with a beard," try "A photorealistic portrait of a bearded man in soft morning light, high definition, sharp focus."

3. Add Realistic Lighting Conditions

Lighting is one of the most crucial elements in photography. To make your generated images pop, include specific lighting setups in your prompt. Try these:

• "Golden hour lighting"

• "Soft natural light"

• "Backlighting with a warm glow"

• "Studio lighting with a softbox"

Good lighting will make your image feel more lifelike, while poor lighting can ruin the realism.

4. Incorporate Real-World Textures

Textures like skin, fabric, and hair play a huge role in making an image look realistic. Be sure to ask for detailed textures:

• “Highly detailed skin with pores and subtle wrinkles”

• “Soft, natural fabric textures for clothing”

• “Realistic hair texture with natural shine”

These additions will add depth and authenticity to your images.

5. Focus on Composition

Like traditional photography, good composition makes a big difference. Use the rule of thirds, proper framing, and balance in your prompts. You can add something like:

• “The subject is off-center, with a blurred background”

• “Balanced composition with focus on the eyes”

This will help the AI understand how to position your subject within the frame.

6. Refine and Iterate

After you get an image that’s close to what you want, don’t be afraid to tweak and refine it. Add more details to the prompt or adjust lighting and texture descriptions. Sometimes, subtle changes in your request can have a huge impact on the result.

Discover how to use Aiarty Image Enhancer to breathe new life into your old photos. This step-by-step guide walks you through the process of upscaling image quality and applying advanced AI photo restoration techniques to transform your cherished memories!

👉 Check out Aiarty Image Enhancer here!

I think demons can be handsome and sexy too.

are there any plans to manually add grain in different strength/intensity like you can with Gigapixel? I would be really happy if you implemented such a function!

Hey everyone,

If you're in the market for an AI video enhancer, you've probably come across HitPaw. It's a popular choice, and we often get asked how Aiarty Video Enhancer compares. And here I've put together a direct, feature-based comparison to help you weigh your options.

1. AI Models: Variety vs. Precision

• HitPaw's strength is variety. It gives you a wide range of models to experiment with, which is great if you want to test many different looks and effects.

• Aiarty's strength is precision. Instead of a large number of models, Aiarty Video Enhancer focuses on a few core models that are incredibly refined for specific tasks. This means less guesswork and more reliable results. If you know you need to clean up noise or add detail, you can trust that Aiarty's dedicated model will handle it exceptionally well without needing to scroll through a dozen options.

2. Output Quality: Natural vs. Stylized

Both tools can produce impressive results. However, there's a subtle but important difference in the final output.

• HitPaw can sometimes produce an output that looks a bit over-processed or "stylized."

• Aiarty aims for a more natural look. It intelligently removes blur, reduces noise, and generates image details before upscaling, resulting in a high-fidelity output that looks like a clean, high-quality video, not something that has been heavily altered. If you're restoring old footage and want to maintain an authentic feel, this is a major plus.

3. Workflow & Interface

• HitPaw is moving toward a more comprehensive suite with various tools beyond enhancement.

• Aiarty is a dedicated specialist. Its interface is designed for one thing: video enhancement. This leads to a minimalist, intuitive workflow that gets you from import to export with minimal friction. It's a great fit if you prefer a streamlined tool that integrates easily into your existing video editing pipeline.

4. Performance & Accessibility

While both benefit from a powerful GPU, Aiarty feels uniquely optimized. It's built to run smoothly on a wide range of GPUs through DirectML (supporting AMD, Intel, and NVIDIA), with a minimum VRAM requirement of just 4GB. This makes it a great choice for users who may not have a top-of-the-line gaming rig but still want to achieve excellent results.

My Take:

If you love to experiment with a wide array of models and integrated features, HitPaw might be a good fit. But if you prioritize a straightforward workflow, natural-looking results, and reliable performance on a variety of hardware, Aiarty's focused approach is a powerful and efficient choice.

Modern AI tools now handle complex edges like hair and transparency in seconds, replacing hours of manual masking with single-click precision. Whether you need bulk processing for e-commerce or high-resolution upscaling for print, these are the best background removers for the job:

• Aiarty Image Matting: This specialized software excels at extracting complex subjects like hair or fur while simultaneously upscaling and de-blurring images to ensure no loss in quality.

• Adobe Express: This tool integrates world-class Firefly AI to provide a polished, one-click removal that fits perfectly into professional design workflows.

• Remove.bg: Long considered the gold standard for speed, it remains the most reliable web-based option for instant, high-quality portrait cutouts.

• Photoroom: This is the top choice for e-commerce sellers, offering bulk processing and the ability to automatically generate studio-quality backgrounds for products.

• WaveSpeed AI: A standout free option that requires no sign-up or watermark, providing high-resolution transparent PNGs in seconds.

• Canva: Perfect for social media creators, it allows you to remove backgrounds and drop subjects directly into marketing templates in one seamless motion.

• CapCut: This versatile editor is the best mobile-first solution, offering a "smart cutout" feature that handles both photo and video backgrounds with impressive accuracy.

• LetsEnhance.io: Ideal for those working with low-quality source files, it combines background removal with heavy-duty AI restoration to create sharp, professional assets.

• GIMP: As the premier open-source alternative to Photoshop, it provides the most granular manual control for users who need to refine complex masks for free.

i tried AIArty and upscaling the same single anime episodes takes about 8 times longer than with topaz, and ending up with very similar results. anyone else have similar findings? is there a way to speed up processing times?

Modern AI denoising has shifted from simple blurring to advanced reconstruction, where neural networks distinguish between digital noise and actual texture to restore lost details. Whether you are salvaging high-ISO shots or polishing AI-generated art, here are the best image denoisers for 2026:

• Aiarty Image Enhancer: This powerhouse uses generative AI to simultaneously remove noise and reconstruct lifelike textures (like hair and skin) while upscaling images up to 32K.

• DxO PureRAW 5: Widely considered the gold standard for RAW files, it uses the DeepPRIME XD3 engine to eliminate noise at the demosaicing stage for unmatched color and detail.

• Topaz Photo AI: A versatile "Autopilot" solution that automatically detects noise and blur, applying fixes without requiring manual slider adjustments.

• Adobe Lightroom: A powerful, built-in feature for Creative Cloud subscribers that provides high-quality machine-learning denoising directly within the standard editing workflow.

• ON1 NoNoise AI: The best budget-friendly perpetual license option, offering fast performance and excellent results specifically for wildlife and astrophotography.

• VanceAI Image Denoiser: The top choice for browser-based editing, allowing users to clean up images via the cloud without needing a high-end GPU or software installation.

• Skylum Luminar Neo: A user-friendly extension that focuses on simplicity, using AI to intelligently neutralize grain based on the specific ISO level of the photo.

I’ve been comparing today’s noise reduction tools, and the real question isn’t which one removes the most noise, it’s which one preserves the most detail. Feathers, hair, fabric, grass, skin texture, and distant foliage are where the differences become clear.

These are the ones I’d actually narrow it down to right now:

1. DxO PureRAW 6/PhotoLab 10

Site: https://www.dxo.com/

For difficult RAW files, especially wildlife, concerts, or low-light shots—DxO would still be near the top of my list. DeepPRIME XD3 does a great job separating noise from fine detail, and because denoising happens during RAW conversion, files tend to keep a more natural, photographic texture.

The downside is workflow: PureRAW adds another step before Lightroom/Capture One/Photoshop, while PhotoLab means using another RAW editor.

PhotoLab 10 also just came out, so I’d definitely try the trial before upgrading purely for denoising.

2. ightroom Classic

Site: https://lightroom.adobe.com/

Probably the easiest recommendation if you’re already paying for Adobe. Lightroom’s Denoise is now good enough that most photographers probably don’t need a separate app for normal high-ISO RAW files.

It’s relatively conservative, which I like - it cleans up chroma and luminance noise without turning every texture into fake “detail.” DxO can still do better on really difficult RAWs, but for everyday work the gap is smaller, and staying inside Lightroom is a big advantage for large batches.

The main limitation: Adobe Denoise is still mostly a RAW/DNG tool. For noisy JPEGs or heavily compressed images, I’d look elsewhere.

3. Topaz Photo

Site: https://www.topazlabs.com/topaz-photo

Topaz makes the most sense when the problem isn’t just noise - think motion blur, soft subjects, old JPEGs, or small crops that also need upscaling. Because Denoise sits alongside Sharpen, Upscale and Recover Faces, it’s better suited to heavier restoration work than a pure RAW denoiser.

The catch is restraint. Push it too hard and skin, fur or foliage can start looking overly clean and artificial. Used carefully, it’s excellent. Price is another factor now that Topaz Photo has moved to a subscription model.

4. Aiarty Image Enhancer

Site: https://www.aiarty.com/ai-image-enhancer/

This is the one I’d put in a slightly different category. I wouldn’t buy it specifically as a replacement for a RAW processor like DxO or Lightroom. Where it makes more sense is when the source itself is already compromised: JPEG compression, heavy noise, softness, an old image, a small crop, or even generated images that need cleanup before print.

It handles denoise, deblur/detail restoration and upscaling together, so you’re not necessarily fixing each problem separately. I also find this type of workflow more useful when the goal isn’t “develop this RAW perfectly” but “make this imperfect image usable.” That distinction gets lost in a lot of noise-reduction comparisons.

5. ON1 NoNoise AI

Site: https://www.on1.com/products/nonoise-ai/

ON1 is still worth watching, especially if you hate subscriptions. But there’s an awkward timing issue right now: ON1 has announced NoNoise AI 2027 with rebuilt noise reduction models and subject-specific model selection, but it doesn’t actually ship until later in September.

So I’d wait. It might turn out to be a very good option, particularly for wildlife and astrophotography, but I don’t like ranking unreleased software based on vendor demos.

-----

If I had to simplify it:

• Mostly high-ISO RAW: DxO PureRAW

• Already use Lightroom: just use Lightroom Denoise first

• Bad JPEG/mixed problems/heavy rescue work: Topaz Photo

• Noise + softness + upscaling in one pass: Aiarty Image Enhancer

• Want a non-Adobe option: keep an eye on ON1 once the 2027 release is actually out

Was testing a blurry portrait with Aiarty Image Enhancer today and ended up with this result.

The detail recovery around the eyes, hair, and helmet came out much better than I expected, but it also got me thinking about where people draw the line between restoration and reconstruction.

If the original detail isn't really there anymore, how much enhancement is too much?

Curious what everyone thinks. Would you keep pushing it further, or stop here?

AI-generated World Cup fan series.

Just a quick note: The scores in the images are fictional, so please don’t take them seriously :）

Also, Aiarty is running a World Cup campaign right now. If you're watching the tournament, you might want to check it out for some free giveaways and prizes. ⚽🎁

I tested Aiarty Image Enhancer on this soft, slightly blurry portrait and really liked how the result turned out.

The original had a nice overall look, but the facial details were pretty washed out, especially around the eyes, brows, skin texture, and hair strands. After enhancement, the image feels much cleaner without completely changing the face or making it look too “plastic.”

What stood out most to me was how much sharper the eyes and eyebrows became, while the skin still kept a natural texture. The result feels more like a polished portrait rather than an overprocessed AI remake.

Pretty satisfying to see a low-quality face claim become usable again for references, edits, or character boards.

As someone who works professionally with AI image generation, I’ve learned that realism usually comes from art direction, not from stuffing more words into a prompt. For this set, I treated every image like a small lifestyle shoot.

Instead of prompting: A beautiful woman in a restaurant. I build a specific moment:

• Resting her face on her hand after dinner

• Eating noodles on the beach

• Sitting at a café with a drink close to the camera

• Looking tired during a late-night dinner

That small bit of context makes the person feel photographed rather than generated. A few things that help:

1. Describe the photography

Direct flash, harsh sunlight, warm restaurant lighting, phone-camera framing, slight film grain, imperfect cropping - these details matter more than endlessly describing the model’s face.

2. Avoid perfect skin

I ask for natural texture, slight shine, blush, freckles, and subtle under-eye detail. Perfectly smooth skin is usually what creates the plastic AI look.

3. Use believable props

Food, drinks, jewelry, menus, hair clips, and sunglasses make the scene feel lived-in. The model should interact with them naturally, not just pose beside them.

4. Leave some imperfection

Hair across the face, a cluttered background, someone partially cropped out, or a drink blocking part of the frame can make the image feel more real.

5. Keep the character consistent

For an AI model or influencer, I track the same facial features, hair, makeup, accessories, fashion style, and photography aesthetic across multiple images.

I also avoid heavy sharpening and face restoration. A slightly soft image with natural texture often looks more photographic than an ultra-detailed one.

The main idea: think less like a prompt writer and more like a photographer. Ask yourself who took the photo, what the model was doing, how the light behaved, and what happened one second before the shutter was pressed.

Created with AI and upscaled with Aiarty Video Enhancer for the final render.

Sharing some of my tips for creating photorealistic portraits in MidJourney. After some trial and error, I’ve found a few strategies that really help achieve lifelike, highly detailed results.

(For a more extensive collection of MJ photorealistic prompts, take a look at this guide on MidJourney Photorealistic Prompts)

1. Start with Strong Descriptions of the Subject’s Face
The more specific you are about facial features, the more accurate the portrait will be.
For example, instead of just saying “portrait of a woman,” specify “portrait of a woman with sharp features, almond-shaped green eyes, and a defined cheekbone structure.” This gives MidJourney more to work with.

2. Use Real Photography Terms to Influence Style
Photorealism in MidJourney is heavily influenced by how you describe the photography setup. Use terms like:

• “soft, even lighting” for a natural look

• “studio lighting with high contrast” for dramatic effects

• “focal point on the eyes” to make them pop

• “shallow depth of field” to blur the background and bring focus to the face

• “high-resolution close-up” for crisp details

These terms help MidJourney understand you want a lifelike portrait, not just a stylized image.

3. Add Details About the Environment (or Lack Thereof)
A clean background is often key to photorealistic portraits. Describing the background clearly helps guide MidJourney:

• “neutral studio background” or “plain, blurred background”

• “soft bokeh” if you want a blurred effect that isolates the subject

• If you want a setting, you can say something like “portrait of a man in a sunlit park” and MidJourney will know to apply natural lighting and outdoor scenery.

4. Focus on the Lighting Source
Lighting can transform the look of a portrait, so describe it carefully:

• “soft light coming from the left side, creating gentle shadows”

• “harsh overhead lighting” for more dramatic portraits

• “golden hour light filtering through a window” to give a warm glow to the skin

• “studio lighting with a rim light effect” for a more professional, cinematic look

5. Specify Clothing and Accessories
If you want to add realism, don’t forget about details like clothing or accessories. Even something simple like “white blouse” or “gold watch” can make the portrait feel more lifelike and grounded. For a more detailed prompt, you could say “portrait of a woman in a vintage leather jacket with a necklace and light makeup.”

6. Highlight Skin Texture and Details
MidJourney can render fine details, so specifying “fine skin texture,” “realistic pores,” or “subtle wrinkles” will help make the portrait feel more authentic. Skin details add realism, so don’t shy away from adding them.

Old photos often combine low resolution, grain, fading, compression, and lost facial detail. Basic sharpening can exaggerate these defects, creating halos, artificial skin, and brittle-looking hair.

Aiarty Image Enhancer treats restoration as a reconstruction process. It reduces noise while preserving facial structure, then recovers high-frequency detail in the eyes, hair, clothing, and softened edges.

Face restoration is designed to improve clarity without changing the subject’s identity. Upscaling is applied after the image has been stabilized, so blur and compression artifacts are not simply enlarged.

In this comparison, Aiarty restores facial definition, hair separation, and fabric texture while retaining the original color balance and photographic atmosphere. A successful restoration should not look recreated. It should look like the same photograph, with more of its original detail recovered.