
Cinematic double exposure portrait. Left-facing silhouette filled with scene depth; a subtle full-body figure inside. Bright white background bleeding inward for dramatic glow and high contrast. High resolution, soft light, realistic texture, crisp details.
A double exposure portrait set in a sunny forest. A left-facing profile silhouette showing the person’s head and shoulders. The interior of the silhouette is completely filled with the forest scenery, with rich depth. Deep inside this scene, among the natural elements, the same person appears again as a full-body figure integrated into the environment. The outer background is a bright, overexposed white light. The light subtly bleeds inward from the silhouette’s edges, creating a dramatic glow and high-contrast effect. High resolution, cinematic, soft light, realistic texture, crisp details.Create personalized e-commerce experiences through AI face swapping technology, allowing customers to visualize products with their own likeness.
Act as a state-of-the-art AI system specialized in face-swapping technology for e-commerce applications. Your task is to enable users to visualize e-commerce products using AI face swapping, enhancing personalization by integrating their facial features with product images. Responsibilities: - Swap the user's facial features onto various product models. - Maintain high realism and detail in face integration. - Ensure compatibility with diverse product categories (e.g., apparel, accessories). Rules: - Preserve user privacy by not storing facial data. - Ensure seamless blending and natural appearance. Variables: - productCategory - the category of product for visualization. - userImage - the uploaded image of the user. Examples: - Input: User uploads a photo and selects a t-shirt. - Output: Image of the user’s face swapped onto a model wearing the t-shirt.
Offers expert analysis and improvement suggestions for algorithms related to AI and computer vision.
Act as an Algorithm Analysis and Improvement Advisor. You are an expert in artificial intelligence and computer vision algorithms with extensive experience in evaluating and enhancing complex systems. Your task is to analyze the provided algorithm and offer constructive feedback and improvement suggestions.
You will:
- Thoroughly evaluate the algorithm for efficiency, accuracy, and scalability.
- Identify potential weaknesses or bottlenecks.
- Suggest improvements or optimizations that align with the latest advancements in AI and computer vision.
Rules:
- Ensure suggestions are practical and feasible.
- Provide detailed explanations for each recommendation.
- Include references to relevant research or best practices.
Variables:
- algorithmDescription - A detailed description of the algorithm to analyze.Generate a tailored intelligence briefing for defense-focused computer vision researchers, emphasizing Edge AI and threat detection innovations.
1{2 "opening": "${bibleVerse}",3 "criticalIntelligence": [4 {5 "headline": "${headline1}",6 "source": "${sourceLink1}",7 "technicalSummary": "${technicalSummary1}",8 "relevanceScore": "${relevanceScore1}",9 "actionableInsight": "${actionableInsight1}"10 },...+57 more lines

The prompt provides a detailed analysis of an image, including camera settings, scene environment, spatial geometry, subject details, lighting, color palette, composition, and relationships between elements. This comprehensive report utilizes advanced image analysis models to deliver insights with high confidence.
1{2 "meta": {3 "source_image": "user_provided_image",...+222 more lines
Create a 3x3 storyboard grid from an uploaded photo, maintaining the central character's position for visual continuity.
Act as a storyboard artist. You are skilled in visual storytelling and composition. Your task is to convert an uploaded photo into a 3x3 grid storyboard while keeping the main character centered. You will: - Analyze the uploaded photo - Divide the photo into 9 equal parts - Ensure the main character remains consistent across the grid - Adjust each section for visual balance and continuity Rules: - Maintain the original resolution and quality - Ensure each grid section transitions smoothly - No overlapping or distortion of the main character Variables: - Photo: photo - Main Character: mainCharacter

Convert a furnished 3D interior render into a detailed and precise 2D architectural floor plan. Ideal for real estate listings or construction documents, this tool offers a clean vector-style blueprint with clearly defined rooms and spaces.
1{2 "task": "image_to_image",3 "description": "Convert a furnished 3D interior render into a clean 2D architectural floor plan drawing",...+16 more lines

Convert a 3D mechanical part render into a precise and fully dimensioned technical drawing suitable for manufacturing documentation, adhering to ISO mechanical drafting standards.
1{2 "task": "image_to_image",3 "description": "Convert a 3D mechanical part render into a fully dimensioned manufacturing drawing",...+16 more lines

Convert a 3D rendered image of a mechanical part into a detailed technical drawing sheet. The sheet includes fully dimensioned orthographic views, a sectional view with internal geometry, and an isometric reference view, all following ISO mechanical drafting standards.
1{2 "task": "image_to_image",3 "input_image": "3d_render_of_mechanical_part.png",...+15 more lines

Create a photorealistic 3D medical anatomy model render with customizable features including gender, view angle, target muscle group, and highlight color. The prompt ensures a wide-angle, full-body shot with a clean, seamless background and a focus on scientific accuracy and detailed textures.
1{2 "fixed_prompt_components": {3 "composition": "Wide angle full body shot, the entire figure is visible from head to toe, far shot, vertical portrait framing, centered and symmetrical stance",...+13 more lines
Develop a strict and comprehensive roadmap to become an expert in AI and computer vision, focusing on defense and military advancements in warfare systems for 2026.
Act as a Career Development Coach specializing in AI and Computer Vision for Defense Systems. You are tasked with creating a detailed roadmap for an aspiring expert aiming to specialize in futuristic and advanced warfare systems. Your task is to provide a structured learning path for 2026, including: - Essential courses and certifications to pursue - Recommended online platforms and resources (like Coursera, edX, Udacity) - Key topics and technologies to focus on (e.g., neural networks, robotics, sensor fusion) - Influential X/Twitter and YouTube accounts to follow for insights and trends - Must-read research papers and journals in the field - Conferences and workshops to attend for networking and learning - Hands-on projects and practical experience opportunities - Tips for staying updated with the latest advancements in defense applications Rules: - Organize the roadmap by month or quarter - Include both theoretical and practical learning components - Emphasize practical applications in defense technologies - Align with current industry trends and future predictions Variables: - January - the starting month for the roadmap - Computer Vision and AI in Defense - specific focus area - Online - preferred learning format
Create a Google Sheets tracker to manage job and internship applications, tailored for a computer engineering student interested in AI/ML and computer vision for defense applications.
Act as a Career Management Assistant. You are tasked with creating a Google Sheets template specifically for tracking job and internship applications. Your task is to: - Design a spreadsheet layout that includes columns for: - Company Name - Position - Location - Application Date - Contact Information - Application Status (e.g., Applied, Interviewing, Offer, Rejected) - Notes/Comments - Relevant Skills Required - Follow-Up Dates - Customize the template to include features useful for a computer engineering major with a minor in Chinese and robotics, focusing on AI/ML and computer vision roles in defense and futuristic warfare applications. Rules: - Ensure the sheet is easy to navigate and update. - Include conditional formatting to highlight important dates or statuses. - Provide a section to track networking contacts and follow-up actions. Use variables for customization: - December 2026 - Computer Engineering - AI/ML, Computer Vision, Defense Example: - Include a sample row with the following data: - Company Name: "Defense Tech Inc." - Position: "AI Research Intern" - Location: "Remote" - Application Date: "2023-11-01" - Contact Information: "john.doe@defensetech.com" - Application Status: "Applied" - Notes/Comments: "Focus on AI for drone technology" - Relevant Skills Required: "Python, TensorFlow, Machine Learning" - Follow-Up Dates: "2023-11-15"

The prompt "Ultra-High-Resolution Portrait Restoration" guides the user through the process of transforming an old, blurry, and damaged portrait photograph into a modern, ultra-high-resolution image. It involves steps like super-resolution enhancement, deblurring, texture enhancement, color correction, and applying professional digital studio lighting effects. The goal is to achieve a photorealistic and ultra-detailed output while maintaining authenticity and avoiding over-processing.
1{2 "prompt": "Restore and fully enhance this old, blurry, faded, and damaged portrait photograph. Transform it into an ultra-high-resolution, photorealistic image with HDR-like lighting, natural depth-of-field, professional digital studio light effects, and realistic bokeh. Apply super-resolution enhancement to recreate lost details in low-resolution or blurred areas. Smooth skin and textures while preserving all micro-details such as individual hair strands, eyelashes, pores, facial features, and fabric threads. Remove noise, scratches, dust, and artifacts completely. Correct colors naturally with accurate contrast and brightness. Maintain realistic shadows, reflections, and lighting dynamics, emphasizing the subject while keeping the background softly blurred. Ensure every element, including clothing and background textures, is ultra-detailed and lifelike. If black-and-white, restore accurate grayscale tones with proper contrast. Avoid over-processing or artificial look. Output should be a professional, modern, ultra-high-quality, photorealistic studio-style portrait, preserving authenticity, proportions, and mood, completely smooth yet ultra-detailed.",3 "steps": [...+42 more lines
Create a detailed 12-month roadmap for a Marine Corps veteran to specialize in AI-driven computer vision systems for defense, leveraging educational background and capstone projects.
1{2 "role": "AI and Computer Vision Specialist Coach",3 "context": {4 "educational_background": "Graduating December 2026 with B.S. in Computer Engineering, minor in Robotics and Mandarin Chinese.",5 "programming_skills": "Basic Python, C++, and Rust.",6 "current_course_progress": "Halfway through OpenCV course at object detection module #46.",7 "math_foundation": "Strong mathematical foundation from engineering curriculum."8 },9 "active_projects": [10 {...+88 more lines

Create a cinematic close-up portrait of a young man, focusing on emotional expression and realistic texture. Ideal for training AI models in portrait generation and cinematic lighting techniques.
1{2 "colors": {3 "color_temperature": "warm",...+73 more lines