Fixing anatomy issues
Input
A person standing with hands visible at their sides, fingers clearly separated, natural proportions, full-body view.
Expected output
An image where the hands and fingers are rendered with clearer anatomy.
Use ai art generator issue to troubleshoot common AI image problems. Adjust your prompt for better anatomy, color accuracy, and composition, then regenerate.
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Common AI art generator issues include distorted anatomy, incorrect colors, and poor composition. These often stem from vague prompts. Adding specific positional details, color names, and layout descriptions can significantly improve results.
Input
A person standing with hands visible at their sides, fingers clearly separated, natural proportions, full-body view.
Expected output
An image where the hands and fingers are rendered with clearer anatomy.
Input
A red apple on a blue tablecloth, bright natural lighting, the apple should be bright red, the cloth vivid blue.
Expected output
An image with more accurate color rendering based on specific color descriptions.
Input
A cat sitting on a windowsill, centered in the frame, window on the left, soft morning light from the right.
Expected output
An image with clearer composition matching the described layout.
Understand how prompt details affect output quality by adjusting and regenerating.
Address typical AI generation issues like anatomy, color, and composition through targeted prompt changes.
Develop more effective prompting habits over time by observing what works.
Describe the desired image.
Choose the available generation settings.
Generate, review, and download a suitable result.
Addressing common generation issues.
Copy a structure, then adjust the subject, lighting, camera, and output details for your own result.
A person holding a book with both hands clearly visible, five fingers on each hand, natural grip, fingers wrapped around book edges, front view.
Explicitly names fingers, hand count, grip type, and viewing angle, reducing the chance of distorted anatomy.
A still life with a bright yellow lemon on a cobalt blue plate, strong contrast, neutral grey background, even lighting.
Uses specific color names and contrast cues, giving the generator clear color targets.
A front-facing portrait of a person, eyes level and symmetrical, nose centered, mouth aligned, neutral expression, good lighting on both sides.
Calls out symmetry explicitly and describes facial features in relation to center alignment.
A room interior shot from eye level, walls parallel to frame edges, furniture arranged along the back wall, no extreme angles.
Specifies camera height and geometric alignment, reducing unintended perspective warping.
A single red rose in a clear glass vase, centered in the frame, plain white background, nothing else in the scene.
Uses explicit centering, subject isolation, and background simplicity to avoid cluttered or off-center results.
A clean product shot of a coffee mug on a white surface, no shadows, no reflections, no background objects, simple and minimal.
Negates common unwanted elements and reinforces simplicity, helping the model avoid visual clutter.
Match the workflow to the input you have and the result you need before opening the generator.
Input: A description naming finger count, hand position, and visible gesture.
Result: An image with more anatomically plausible hands, though not guaranteed perfect.
Tool: Text to Image with detailed positional prompts.
Input: A prompt with exact color names and lighting conditions.
Result: An image with colors closer to your specification.
Tool: Text to Image, regenerate with adjusted color terms.
Input: A prompt naming subject placement, background type, and focal point.
Result: An image with clearer visual hierarchy and less clutter.
Tool: Text to Image with explicit layout terms.
Input: A prompt requesting sharp focus, clear edges, and good lighting.
Result: An image with improved clarity, though resolution limits may still apply.
Tool: Text to Image with quality and detail keywords.
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Open the text-to-image tool, write a prompt, and use prompt refinement to address common issues.