Troubleshooting AI Image Generation Issues
Even the best AI models can sometimes produce unexpected results. This guide helps you identify and fix common issues to get consistently great images from your AI generation sessions.
Common Quality Issues
Blurry or Low-Resolution Images
- Cause: Low-quality settings or vague prompts
- Solution: Add quality keywords like "high resolution," "sharp focus," "ultra-detailed"
- Technical fix: Increase resolution settings and use upscaling if available
Distorted Anatomy
- Cause: Complex poses or insufficient training data
- Solution: Specify "anatomically correct," use reference poses
- Prevention: Avoid overly complex or unusual body positions
Poor Lighting
- Cause: Insufficient lighting descriptions
- Solution: Be specific about lighting - "natural light," "studio lighting," "golden hour"
- Enhancement: Add mood descriptors like "dramatic," "soft," "directional"
Prompt-Related Problems
AI Ignoring Parts of Your Prompt
- Cause: Conflicting instructions or overcomplex prompts
- Solution: Simplify prompts, prioritize most important elements
- Technique: Use parentheses or emphasis markers for key elements
Unexpected Style Results
- Cause: Ambiguous style descriptions
- Solution: Be more specific - "photorealistic portrait" vs "cartoon style illustration"
- Reference: Mention specific artists or art movements when appropriate
Practice Troubleshooting Techniques