Anatomy Errors
Input
A person playing guitar, focusing on clear hand positioning, natural proportions, avoiding extra fingers or twisted limbs
Expected output
A human figure with correct anatomy playing guitar in a natural pose
Learn common AI image generator mistakes like anatomy errors and perspective problems. Write better prompts and get cleaner results.
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Common AI image generator mistakes include anatomy errors like extra fingers or twisted limbs, perspective problems where vanishing points are inconsistent, proportion issues where objects are scaled incorrectly relative to each other, and unrealistic lighting or texture inconsistencies. These occur because the generator interprets text literally and may struggle with complex spatial relationships or uncommon object combinations.
Input
A person playing guitar, focusing on clear hand positioning, natural proportions, avoiding extra fingers or twisted limbs
Expected output
A human figure with correct anatomy playing guitar in a natural pose
Input
A long street with buildings on both sides, correct vanishing point, consistent window sizes as they recede into the distance
Expected output
A streetscape with accurate perspective and consistent building proportions
Input
A person standing next to a bicycle, both at the same scale, realistic size relationship between human and vehicle
Expected output
A properly scaled scene with realistic human-to-object size relationships
Understand common AI image generation pitfalls so you can avoid them in your prompts.
Write clearer, more specific descriptions that lead to more accurate results.
Get better results the first time by knowing what details matter most in a prompt.
Describe the desired image.
Choose the available generation settings.
Generate, review, and download a suitable result.
Tips to get the most useful images from your text prompts.
Copy a structure, then adjust the subject, lighting, camera, and output details for your own result.
A close-up of a person holding a smartphone with both hands, the selected fingers visible and naturally positioned, thumbs on the screen, realistic hand proportions
Explicitly calls out finger count and natural positioning, giving the generator clear anatomical constraints to follow.
A front view of a modern building facade, perfectly symmetrical windows arranged in a grid, centered entrance, even spacing on both sides
Uses the word 'symmetrical' and describes the grid structure, reducing the chance of uneven or misaligned architectural elements.
A portrait of a woman with realistic facial proportions, eyes at the midpoint of the head, nose centered between eyes and chin, natural spacing between features
Describes facial landmark relationships explicitly, guiding the generator toward anatomically correct feature placement.
A child sitting at a standard-height dining table, feet not touching the floor, head below the table edge, realistic size relationship between child and furniture
Establishes the scale relationship between subject and environment with concrete spatial cues that make proportion mistakes less likely.
A person standing in front of a car, the car partially hidden behind the person, clear foreground and background separation, no merging of shapes
Explicitly states foreground-background order and calls out the need for separation, reducing the chance of objects blending incorrectly.
Match the workflow to the input you have and the result you need before opening the generator.
Input: Describe body proportions, limb positions, and joint angles explicitly
Result: A character with realistic anatomy and natural pose
Tool: Text to Image with detailed anatomical descriptions
Input: Specify vanishing points, horizon line, and consistent scaling for receding elements
Result: A building or interior with accurate linear perspective
Tool: Text to Image with perspective vocabulary in the prompt
Input: Describe the size relationship between product and human hand or surrounding objects
Result: A product image with believable proportions and scale
Tool: Text to Image with explicit size comparisons
Input: State which objects are in the foreground, middle ground, and background, and describe their spatial relationships
Result: A multi-subject scene with clear depth and correct overlap
Tool: Text to Image with layered spatial descriptions
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Open the text-to-image tool and describe your vision. Start with the main subject and add details as you go.