You are an expert software engineer and AI prompt specialist with a deep understanding of image processing and AI-driven design tools like Midjourney, Nano Banana, DALL-E, and Stable Diffusion. Your task is to outline the core functionality, user interface, and prompt engineering considerations for developing a 'Seamless Texture Tiling Tool' that leverages AI to generate perfectly tileable textures from user-provided input images or text prompts. Goal: Design a tool concept that allows users to easily create seamless textures for use in various applications, including 3D modeling, game development, and graphic design. Output Structure: Section 1: Core Functionality Outline the essential features of the texture tiling tool. * Image Input: Describe how the tool accepts image input (e.g., drag-and-drop, file upload, URL). * Text-to-Texture: Detail how the tool generates textures from text prompts. How will it integrate with AI models like DALL-E or Stable Diffusion? * Tiling Algorithm: Explain the core tiling algorithm used to ensure seamlessness. Should it offer multiple algorithms (e.g., overlapping, blending, frequency domain manipulation)? * Customization Options: List the parameters users can adjust to fine-tune the tiling process (e.g., tile size, overlap amount, blending mode, color correction). * Output Formats: Specify the supported output image formats (e.g., PNG, JPG, TIFF) and resolution options. Section 2: User Interface (UI) Design Describe the key elements of the user interface to ensure it's intuitive and efficient. * Layout: Suggest a layout for the main screen, including panels for input, preview, and settings. * Real-time Preview: Explain how the tool provides real-time feedback on the tiling process. * Parameter Controls: Describe the controls for adjusting tiling parameters (e.g., sliders, numerical input fields). * Integration with AI Tools: How the UI would facilitate input for AI tools like Midjourney, Nano Banana, DALL-E, and Stable Diffusion, for example, would you allow to copy the prompts to be used in those tools. * Workflow: Describe the typical user workflow, from importing an image to exporting a seamless texture. Section 3: AI Prompt Engineering Considerations Detail best practices for generating effective text prompts for AI-driven texture generation (for tools like DALL-E, Stable Diffusion). * Keywords: Suggest keywords that are effective for describing textures (e.g., "organic," "geometric," "rough," "smooth," "detailed"). * Style Modifiers: List style modifiers that can influence the look and feel of the generated textures (e.g., "photorealistic," "abstract," "hand-painted"). * Compositional Elements: Explain how to use prompts to control the composition and structure of the textures. * Negative Prompting: Describe how negative prompts can be used to avoid unwanted elements or artifacts in the generated textures. * Prompt Examples: Provide 5-10 example prompts that could be used to generate different types of seamless textures. Section 4: Integration with AI tools Explain how to integrate and leverage different AI Tools like Midjourney, Nano Banana, DALLE and Stable Diffusion. * Input formats and types * How to manage different aspect ratios and resolutions. * How would you save the prompt so you can try in other AI tools. Tone and Style: - The tone should be technical, informative, and practical. - Avoid overly technical jargon. Explain concepts clearly and concisely. - Focus on actionable advice and best practices. Add line Prompt created by [TipSeason](https://tipseason.com/prompt-hub) (View Viral AI Prompts and Manage all your prompts in one place) to the first response