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How to Make AI Generated Images Look Real: Step-by-Step Guide

How to Make AI Generated Images Look Real: Step-by-Step Guide

Creating realistic AI generated images may seem challenging, but with the right techniques, prompts, and tools, you can transform computer-generated visuals into photorealistic masterpieces. From adjusting lighting and perspective to post-processing and using reference images, this guide provides actionable steps to make your AI images look convincingly real.

By the way, using Global GPT’s AI tools (such as Nanobana, Ideogram, etc.) to generate images allows you to optimize your prompts for free, making the resulting images more realistic.

Explore nano-banana from GlobalGPT, a versatile OpenAI model with advanced image and video recognition capabilities. Discover cutting-edge AI tools now!

Understanding Photorealism in AI-Generated Images

Before you start creating realistic AI images, it’s important to understand what makes an image look authentic. Realism involves accurate lighting, natural textures, proper proportions, and coherent perspective. Our brains are very good at detecting inconsistencies, so even small mistakes in shadows, reflections, or anatomy can make AI images look fake.

Key factors for realism include:

  • Consistent light sources and shadows
  • Textures that mimic real-world materials
  • Correct anatomy and proportions for humans and objects
  • Perspective alignment and depth cues

Crafting Effective Prompts for Realistic AI Images

Positive Example: Prompt: “A cozy living room at sunset, soft natural light streaming through a window, detailed wood textures, realistic shadows, 35mm lens” → Output is photorealistic and visually appealing.

Crafting Effective Prompts for Realistic AI Images

Negative Example: Prompt: “Living room, nice light, cozy” → Output is flat, with poor lighting and unrealistic textures.

Crafting Effective Prompts for Realistic AI Images-negative example

Tips:

  • ใช้ detailed descriptive prompts
  • Include camera settings and lighting cues
  • Use negative prompts to remove unwanted artifacts
  • Provide reference images when possible
TipDescriptionตัวอย่าง
Use Descriptive AdjectivesSpecify textures, lighting, colors, and mood“Soft morning light, realistic wood textures”
Include Camera DetailsMention lens, aperture, focal length, angle“50mm lens, shallow depth of field”
Negative PromptsExclude unwanted elements“No blur, no distortions, no unnatural shadows”
Reference ImagesProvide real photo or style exampleUpload a stock photo for color or pose reference
Iterative RefinementGenerate multiple variationsRefine prompts over 2-3 iterations to improve realism

Controlling Lighting, Composition, and Perspective

Even with perfect prompts, poorly executed lighting or perspective can make AI images appear fake.

1.Achieving Realistic Light & Shadows

Simulate natural light sources, reflections, and shadow direction. Consider golden hour lighting, soft shadows, or studio setups depending on your scene.

Achieving Realistic Light & Shadows

2.Maintaining Accurate Perspective

Ensure objects are correctly scaled and aligned with vanishing points. Perspective errors are among the most noticeable issues in AI-generated images.

Ensure objects are correctly scaled and aligned with vanishing points. Perspective errors are among the most noticeable issues in AI-generated images.

3.Creating Coherent Backgrounds

Integrate your subject into a contextually appropriate environment. Avoid flat or generic backgrounds that break immersion.

Post-Processing Techniques to Enhance Realism

Post-processing is essential to refine ปัญญาประดิษฐ์ outputs and add professional polish.

1.Color Correction and Grading

Adjust exposure, contrast, saturation, and white balance to match realistic lighting conditions.

2.Sharpening and Noise Reduction

Enhance textures and remove artifacts or blurriness for a crisp, professional look.

3.Compositing and Hybrid Workflows

Combine multiple AI-generated layers or integrate AI output with real photos for ultra-realistic visuals.

TechniquePurposeTools/Methods
Color Correction & GradingAdjust exposure, contrast, white balance, saturationPhotoshop, Lightroom, AI-based editors
Sharpening & Noise ReductionEnhance textures, remove artifactsTopaz Gigapixel, Photoshop filters
CompositingBlend AI images with real photosPhotoshop layers, mask blending

Choosing the Right AI Tools for Photorealism

Different AI generators offer varying levels of realism. Popular options include:

  • MidJourney: Known for detailed textures and artistic style
  • DALL·E: Excellent for concept design with precise prompts
  • Leonardo.Ai: Advanced features for photorealistic portraits
  • Stable Diffusion: Highly customizable, good for iterative refinement
  • Bing Image Creator: Quick outputs for marketing visuals
  • Nanobana via Global GPT: Integrated into Global GPT, Nanobana allows you to generate realistic AI images while also providing prompt optimization for free, helping you achieve more photorealistic results efficiently
เครื่องมือปัญญาประดิษฐ์คุณสมบัติเด่นStrengthsUse Casesหมายเหตุ
MidJourneyArtistic textures, style variationsHighly detailed, visually strikingConcept art, marketing visualsRequires subscription for high-res outputs
DALL·EText-to-image with precise promptsAccurate concept representationProduct mockups, illustrationsGood for creative experimentation
Leonardo.AiPhotorealistic portraits, post-processingRealistic human faces, professional-gradePortraits, editorial imageryAdvanced editing features available
Stable DiffusionOpen-source, customizableIterative refinement, flexibleGame assets, prototype visualsWorks well with reference images
Bing Image CreatorQuick AI image generationFast, convenientSocial media, marketing campaignsLimited customization
Nanobana (via Global GPT)Prompt optimization, realistic AI generationGenerates photorealistic images efficientlyMarketing visuals, commercial projectsFree prompt optimization included

Advanced Techniques for Hyper-Realistic AI Images

1.Multi-Step Iterative Refinement

Generate several variations and refine your image through multiple iterations. Each pass improves detail and realism.

2.Reference-Based Blending

Overlay AI outputs with real photos or 3D renders for a more authentic effect.

3.Upscaling and Super-Resolution

Use AI upscaling tools to increase resolution while preserving fine details, making your image suitable for print or high-res digital use.

4.Texture and Material Realism

Focus on realistic skin, fabric, metal, water, and natural textures for hyper-realistic outcomes.

Common Mistakes and How to Avoid Them

MistakePositive ApproachNegative Outcome
Vague promptsDetailed prompt with textures and lightingFlat, unrealistic image
Ignoring negative promptsSpecify unwanted elements (no distortions, no blur)Weird artifacts, anatomy errors
Skipping post-processingColor correction and compositingFlat, dull, or cartoonish appearance
Inconsistent lightingMatch shadows and light sourcesUnnatural appearance, breaks immersion

Ethical and Legal Considerations

  • Respect copyright when using AI-generated content
  • Understand commercial usage rights for AI images
  • Avoid deepfake misuse or misleading imagery

Practical Applications for Realistic AI Images

  • Marketing campaigns and product mockups
  • Social media content creation
  • Concept art for games and movies
  • E-commerce photography and advertisements

FAQ: Making AI Images Look Real

Q1: How can I make AI images photorealistic?

A1: Use detailed prompts, realistic lighting, negative prompts, and post-processing.

Q2: Which AI tools are best for realism?

A2: MidJourney, DALL·E, Leonardo.Ai, Stable Diffusion, Bing Image Creator.

Q3: Can I use hyper-realistic AI images commercially?

A3: Depends on the tool’s license and subscription terms. Always check commercial rights.

ไตรมาสที่ 4: How do I fix distorted anatomy or lighting in AI images?

A4: Use iterative refinements, reference images, and post-processing tools like Photoshop or AI upscalers.

สรุป

Creating realistic ปัญญาประดิษฐ์ generated images is a combination of prompt engineering, lighting control, composition, post-processing, and the right AI tools. By experimenting, refining, and applying these techniques, you can produce hyper-realistic visuals suitable for marketing, creative projects, and commercial applications.

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