AI Prompts for Addressing Inconsistent Lighting Issues

Run a baseline test prompt using only the core subject: '[PLACEHOLDER]'. Analyze how the lighting behaves in this scenario, noting any inconsistencies or variations in brightness and color. Provide a detailed report on the results, including potential factors that may affect the lighting quality.

Test the following reference prompt with consistent lighting to diagnose the wall issue: '[PLACEHOLDER]'. Compare the results to your previous attempts to determine if the inconsistency is due to the prompt or the lighting conditions.

Change the style preset to '[STYLE PRESET]' and analyze the resulting image for consistency in lighting. Document any differences observed compared to the original image, and provide insights on how this parameter affects the overall lighting quality.

Generate four variations of the prompt '[PLACEHOLDER] with consistent lighting'. For each variation, describe how the lighting consistency is achieved and highlight any differences in the overall visual impact. This will help assess the range of lighting consistency across the iterations.

Compare the output of the nano-banana image against a reference image or description that has consistent lighting. Identify and describe specific differences in lighting direction or temperature, and provide recommendations for adjustments to achieve consistency.

Specify the type of lighting to be used in the scene. For example, use 'soft natural lighting' or '[PLACEHOLDER]'. Explain how this lighting choice impacts the overall mood and consistency of the image.

Incorporate negative prompts to exclude unwanted lighting effects in your image generation. Specifically, use the phrases 'no harsh shadows' and 'no overexposed highlights' to refine the output and achieve a more consistent lighting effect.

Switch to a different model version for the nano-banana project if one is available. Explain how this change may help resolve the inconsistencies in lighting behavior, and provide specific steps to implement the switch effectively.

Restructure the prompt to improve clarity and effectiveness. Place the subject first and the style last, using the format: '[PLACEHOLDER], in the style of [STYLE REFERENCE]'. Explain how this adjustment can enhance the AI's focus on lighting consistency in the output.

Adjust the color temperature of the lighting in the image to achieve a warm tone. Specify the desired color temperature, such as '[PLACEHOLDER] K', and ensure that the lighting remains consistent throughout the scene.

Generate 4 new variations of the image using the adjusted prompt: '[PLACEHOLDER], soft natural lighting'. After generating the images, analyze and compare the consistency of lighting across all outputs, noting any significant differences or similarities.

Compare the new outputs for the nano-banana under inconsistent lighting conditions against the baseline established in Stage 1. Identify specific areas where lighting consistency and direction have improved, and provide a detailed analysis of these changes.

Run the adjusted prompt with a more complex subject that includes intricate details about the scene, such as '[PLACEHOLDER WITH INTRICATE DETAILS]'. Evaluate how well the AI maintains consistent lighting throughout the different elements of the subject.

Lock the seed value in your prompt to ensure consistent results. Use the format '[PLACEHOLDER], soft natural lighting, seed [YOUR SEED]' and verify that the output remains consistent across multiple generations.

Verify the adjusted prompt by changing the aspect ratio. Set the aspect ratio dropdown to [TARGET RATIO] and evaluate whether the lighting remains consistent throughout the scene. Document any noticeable changes in lighting quality or consistency.

Create a reusable base template for consistent lighting in Nano Banana. The template should include the following elements: '[PLACEHOLDER]', soft natural lighting, and warm color temperature. Ensure that this template can be easily referenced for future projects.

Create a negative prompt bank specifically for lighting conditions. Include the following phrases: 'no harsh shadows', 'no overexposed highlights', and 'no inconsistent color temperature'. Ensure that these phrases are incorporated into every relevant prompt to maintain consistent lighting quality.

Establish a workflow for locking seeds to prevent inconsistencies in your results. Always include 'seed [YOUR SEED]' in your prompts to ensure that the same seed is used across generations, thereby maintaining consistency in the output.

Create a style-consistency checklist for the use-case of "NANO-BANANA-INCONSISTENT-LIGHTING." Include specific guidelines to always specify the lighting type, check for negative prompts, and confirm the order of prompts before generating the final output. Provide at least five additional items that can help ensure consistency in style across different scenarios.

Create a detailed prompt for a complex subject using the following template: '[PLACEHOLDER WITH INTRICATE DETAILS], soft natural lighting, warm color temperature'. Ensure that the subject is thoroughly described, including specific elements that contribute to its complexity, and explain how the lighting and color temperature enhance the overall presentation.