Imagine you're an illustrator, and please follow these instructions to perform your task: Your prompt construction scheme for generating images is as follows: [Style] + [Basic Information] + [Additional Information] + [Action] -identifier+1 Firstly, please gather information through the following steps: 1. Determine the [Style] for the image, such as comic style, realistic style, etc. 2. Confirm the [Basic Information]. An example would be: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 3. [Additional Information]: This part of your image generation prompt construction scheme is mainly for filling in other descriptive information about the picture. 4. [Action] 5. The -Identifier part's main purpose is to ensure consistency in image generation, to help track changes, with the reference format as 0001, 0002. After collecting the above information, it will be used as the fixed elements in your image generation prompt structure scheme, unless the user has specific change requests. For example: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 Change the action: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown, dancing gracefully in the center of the dance floor. -0002
3199
FLUX
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
010
Hero
Ultra-realistic photograph of 80s Toyota Landcruiser parked on the Stuart Highway a desert road at sunrise photograph. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light, JDHampton on the number plate of car. In the background, the Central Australian Outback Landscape can be seen majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic. That sounds like an amazing concept! A **1971 Ford Falcon XY GTHO Phase 3** in iconic red with black stripes, set against the breathtaking backdrop of **Uluru (Ayers Rock)** at sunrise, would make a stunning and highly realistic masterpiece. Here’s how we can refine the prompt for **Prompt Hero** or any AI image generator (like MidJourney or DALL·E) to achieve the best results: --- ### **Final Optimized Prompt:** *"Ultra-realistic photograph of a 1971 Ford Falcon XY GTHO Phase 3 muscle car in vibrant red with original black racing stripes, parked on a desert road at sunrise. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light. In the background, Uluru (Ayers Rock) stands majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic."* --- ### **Key Elements to Enhance Realism:** 1. **Car Details:** - "1971 Ford Falcon XY GTHO Phase 3" (correct model name for accuracy). - "Vibrant red paint with glossy finish, black racing stripes, chrome accents, and period-correct badging." - "Reflections of Uluru and sunrise on the car’s body." 2. **Uluru Backdrop:** - "Uluru at sunrise, glowing in warm tones, with soft shadows and textured rock surfaces." - "Subtle haze/mist for atmospheric depth." 3. **Lighting & Mood:** - "Golden hour lighting, long shadows, warm tones contrasting with cool desert blues." - "Sun rays peeking over the horizon, lens flare for realism." 4. **Composition:** - "Low-angle shot to emphasize both the car and Uluru." - "Rule of thirds: Car offset to one side, Uluru centered in the distance." 5. **Technical Specs (for AI):** - "8K, hyper-detailed, photorealistic, shot on a Canon EOS R5 with 85mm lens." --- ### **Example Platforms to Generate This:** - **MidJourney (v6):** Use the prompt above with `--style raw --ar 16:9` for a widescreen cinematic look. - **DALL·E 3 (via ChatGPT Plus):** Refine with "realistic photograph" and "highly detailed." - **Stable Diffusion (via PromptHero):** Add keywords like "Kodak Portra 400 film grain" for extra realism. A Big Red Kangaroo in the distance) This is a true **Australian automotive icon** masterpiece! JDHampton + AI | Creative Alliance
7421
ChatGPT Image
Imagine you're an illustrator, and please follow these instructions to perform your task: Your prompt construction scheme for generating images is as follows: [Style] + [Basic Information] + [Additional Information] + [Action] -identifier+1 Firstly, please gather information through the following steps: 1. Determine the [Style] for the image, such as comic style, realistic style, etc. 2. Confirm the [Basic Information]. An example would be: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 3. [Additional Information]: This part of your image generation prompt construction scheme is mainly for filling in other descriptive information about the picture. 4. [Action] 5. The -Identifier part's main purpose is to ensure consistency in image generation, to help track changes, with the reference format as 0001, 0002. After collecting the above information, it will be used as the fixed elements in your image generation prompt structure scheme, unless the user has specific change requests. For example: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 Change the action: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown, dancing gracefully in the center of the dance floor. -0002
3199
FLUX
Ultra-realistic photograph of 80s Toyota Landcruiser parked on the Stuart Highway a desert road at sunrise photograph. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light, JDHampton on the number plate of car. In the background, the Central Australian Outback Landscape can be seen majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic. That sounds like an amazing concept! A **1971 Ford Falcon XY GTHO Phase 3** in iconic red with black stripes, set against the breathtaking backdrop of **Uluru (Ayers Rock)** at sunrise, would make a stunning and highly realistic masterpiece. Here’s how we can refine the prompt for **Prompt Hero** or any AI image generator (like MidJourney or DALL·E) to achieve the best results: --- ### **Final Optimized Prompt:** *"Ultra-realistic photograph of a 1971 Ford Falcon XY GTHO Phase 3 muscle car in vibrant red with original black racing stripes, parked on a desert road at sunrise. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light. In the background, Uluru (Ayers Rock) stands majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic."* --- ### **Key Elements to Enhance Realism:** 1. **Car Details:** - "1971 Ford Falcon XY GTHO Phase 3" (correct model name for accuracy). - "Vibrant red paint with glossy finish, black racing stripes, chrome accents, and period-correct badging." - "Reflections of Uluru and sunrise on the car’s body." 2. **Uluru Backdrop:** - "Uluru at sunrise, glowing in warm tones, with soft shadows and textured rock surfaces." - "Subtle haze/mist for atmospheric depth." 3. **Lighting & Mood:** - "Golden hour lighting, long shadows, warm tones contrasting with cool desert blues." - "Sun rays peeking over the horizon, lens flare for realism." 4. **Composition:** - "Low-angle shot to emphasize both the car and Uluru." - "Rule of thirds: Car offset to one side, Uluru centered in the distance." 5. **Technical Specs (for AI):** - "8K, hyper-detailed, photorealistic, shot on a Canon EOS R5 with 85mm lens." --- ### **Example Platforms to Generate This:** - **MidJourney (v6):** Use the prompt above with `--style raw --ar 16:9` for a widescreen cinematic look. - **DALL·E 3 (via ChatGPT Plus):** Refine with "realistic photograph" and "highly detailed." - **Stable Diffusion (via PromptHero):** Add keywords like "Kodak Portra 400 film grain" for extra realism. A Big Red Kangaroo in the distance) This is a true **Australian automotive icon** masterpiece! JDHampton + AI | Creative Alliance
7421
ChatGPT Image
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
010
Hero
Imagine you're an illustrator, and please follow these instructions to perform your task: Your prompt construction scheme for generating images is as follows: [Style] + [Basic Information] + [Additional Information] + [Action] -identifier+1 Firstly, please gather information through the following steps: 1. Determine the [Style] for the image, such as comic style, realistic style, etc. 2. Confirm the [Basic Information]. An example would be: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 3. [Additional Information]: This part of your image generation prompt construction scheme is mainly for filling in other descriptive information about the picture. 4. [Action] 5. The -Identifier part's main purpose is to ensure consistency in image generation, to help track changes, with the reference format as 0001, 0002. After collecting the above information, it will be used as the fixed elements in your image generation prompt structure scheme, unless the user has specific change requests. For example: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 Change the action: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown, dancing gracefully in the center of the dance floor. -0002
3199
FLUX
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
010
Hero
Ultra-realistic photograph of 80s Toyota Landcruiser parked on the Stuart Highway a desert road at sunrise photograph. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light, JDHampton on the number plate of car. In the background, the Central Australian Outback Landscape can be seen majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic. That sounds like an amazing concept! A **1971 Ford Falcon XY GTHO Phase 3** in iconic red with black stripes, set against the breathtaking backdrop of **Uluru (Ayers Rock)** at sunrise, would make a stunning and highly realistic masterpiece. Here’s how we can refine the prompt for **Prompt Hero** or any AI image generator (like MidJourney or DALL·E) to achieve the best results: --- ### **Final Optimized Prompt:** *"Ultra-realistic photograph of a 1971 Ford Falcon XY GTHO Phase 3 muscle car in vibrant red with original black racing stripes, parked on a desert road at sunrise. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light. In the background, Uluru (Ayers Rock) stands majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic."* --- ### **Key Elements to Enhance Realism:** 1. **Car Details:** - "1971 Ford Falcon XY GTHO Phase 3" (correct model name for accuracy). - "Vibrant red paint with glossy finish, black racing stripes, chrome accents, and period-correct badging." - "Reflections of Uluru and sunrise on the car’s body." 2. **Uluru Backdrop:** - "Uluru at sunrise, glowing in warm tones, with soft shadows and textured rock surfaces." - "Subtle haze/mist for atmospheric depth." 3. **Lighting & Mood:** - "Golden hour lighting, long shadows, warm tones contrasting with cool desert blues." - "Sun rays peeking over the horizon, lens flare for realism." 4. **Composition:** - "Low-angle shot to emphasize both the car and Uluru." - "Rule of thirds: Car offset to one side, Uluru centered in the distance." 5. **Technical Specs (for AI):** - "8K, hyper-detailed, photorealistic, shot on a Canon EOS R5 with 85mm lens." --- ### **Example Platforms to Generate This:** - **MidJourney (v6):** Use the prompt above with `--style raw --ar 16:9` for a widescreen cinematic look. - **DALL·E 3 (via ChatGPT Plus):** Refine with "realistic photograph" and "highly detailed." - **Stable Diffusion (via PromptHero):** Add keywords like "Kodak Portra 400 film grain" for extra realism. A Big Red Kangaroo in the distance) This is a true **Australian automotive icon** masterpiece! JDHampton + AI | Creative Alliance
7421
ChatGPT Image
Imagine you're an illustrator, and please follow these instructions to perform your task: Your prompt construction scheme for generating images is as follows: [Style] + [Basic Information] + [Additional Information] + [Action] -identifier+1 Firstly, please gather information through the following steps: 1. Determine the [Style] for the image, such as comic style, realistic style, etc. 2. Confirm the [Basic Information]. An example would be: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 3. [Additional Information]: This part of your image generation prompt construction scheme is mainly for filling in other descriptive information about the picture. 4. [Action] 5. The -Identifier part's main purpose is to ensure consistency in image generation, to help track changes, with the reference format as 0001, 0002. After collecting the above information, it will be used as the fixed elements in your image generation prompt structure scheme, unless the user has specific change requests. For example: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 Change the action: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown, dancing gracefully in the center of the dance floor. -0002
3199
FLUX
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
010
Hero
Ultra-realistic photograph of 80s Toyota Landcruiser parked on the Stuart Highway a desert road at sunrise photograph. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light, JDHampton on the number plate of car. In the background, the Central Australian Outback Landscape can be seen majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic. That sounds like an amazing concept! A **1971 Ford Falcon XY GTHO Phase 3** in iconic red with black stripes, set against the breathtaking backdrop of **Uluru (Ayers Rock)** at sunrise, would make a stunning and highly realistic masterpiece. Here’s how we can refine the prompt for **Prompt Hero** or any AI image generator (like MidJourney or DALL·E) to achieve the best results: --- ### **Final Optimized Prompt:** *"Ultra-realistic photograph of a 1971 Ford Falcon XY GTHO Phase 3 muscle car in vibrant red with original black racing stripes, parked on a desert road at sunrise. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light. In the background, Uluru (Ayers Rock) stands majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic."* --- ### **Key Elements to Enhance Realism:** 1. **Car Details:** - "1971 Ford Falcon XY GTHO Phase 3" (correct model name for accuracy). - "Vibrant red paint with glossy finish, black racing stripes, chrome accents, and period-correct badging." - "Reflections of Uluru and sunrise on the car’s body." 2. **Uluru Backdrop:** - "Uluru at sunrise, glowing in warm tones, with soft shadows and textured rock surfaces." - "Subtle haze/mist for atmospheric depth." 3. **Lighting & Mood:** - "Golden hour lighting, long shadows, warm tones contrasting with cool desert blues." - "Sun rays peeking over the horizon, lens flare for realism." 4. **Composition:** - "Low-angle shot to emphasize both the car and Uluru." - "Rule of thirds: Car offset to one side, Uluru centered in the distance." 5. **Technical Specs (for AI):** - "8K, hyper-detailed, photorealistic, shot on a Canon EOS R5 with 85mm lens." --- ### **Example Platforms to Generate This:** - **MidJourney (v6):** Use the prompt above with `--style raw --ar 16:9` for a widescreen cinematic look. - **DALL·E 3 (via ChatGPT Plus):** Refine with "realistic photograph" and "highly detailed." - **Stable Diffusion (via PromptHero):** Add keywords like "Kodak Portra 400 film grain" for extra realism. A Big Red Kangaroo in the distance) This is a true **Australian automotive icon** masterpiece! JDHampton + AI | Creative Alliance
7421
ChatGPT Image
Imagine you're an illustrator, and please follow these instructions to perform your task: Your prompt construction scheme for generating images is as follows: [Style] + [Basic Information] + [Additional Information] + [Action] -identifier+1 Firstly, please gather information through the following steps: 1. Determine the [Style] for the image, such as comic style, realistic style, etc. 2. Confirm the [Basic Information]. An example would be: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 3. [Additional Information]: This part of your image generation prompt construction scheme is mainly for filling in other descriptive information about the picture. 4. [Action] 5. The -Identifier part's main purpose is to ensure consistency in image generation, to help track changes, with the reference format as 0001, 0002. After collecting the above information, it will be used as the fixed elements in your image generation prompt structure scheme, unless the user has specific change requests. For example: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 Change the action: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown, dancing gracefully in the center of the dance floor. -0002
3199
FLUX
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
010
Hero
Ultra-realistic photograph of 80s Toyota Landcruiser parked on the Stuart Highway a desert road at sunrise photograph. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light, JDHampton on the number plate of car. In the background, the Central Australian Outback Landscape can be seen majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic. That sounds like an amazing concept! A **1971 Ford Falcon XY GTHO Phase 3** in iconic red with black stripes, set against the breathtaking backdrop of **Uluru (Ayers Rock)** at sunrise, would make a stunning and highly realistic masterpiece. Here’s how we can refine the prompt for **Prompt Hero** or any AI image generator (like MidJourney or DALL·E) to achieve the best results: --- ### **Final Optimized Prompt:** *"Ultra-realistic photograph of a 1971 Ford Falcon XY GTHO Phase 3 muscle car in vibrant red with original black racing stripes, parked on a desert road at sunrise. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light. In the background, Uluru (Ayers Rock) stands majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic."* --- ### **Key Elements to Enhance Realism:** 1. **Car Details:** - "1971 Ford Falcon XY GTHO Phase 3" (correct model name for accuracy). - "Vibrant red paint with glossy finish, black racing stripes, chrome accents, and period-correct badging." - "Reflections of Uluru and sunrise on the car’s body." 2. **Uluru Backdrop:** - "Uluru at sunrise, glowing in warm tones, with soft shadows and textured rock surfaces." - "Subtle haze/mist for atmospheric depth." 3. **Lighting & Mood:** - "Golden hour lighting, long shadows, warm tones contrasting with cool desert blues." - "Sun rays peeking over the horizon, lens flare for realism." 4. **Composition:** - "Low-angle shot to emphasize both the car and Uluru." - "Rule of thirds: Car offset to one side, Uluru centered in the distance." 5. **Technical Specs (for AI):** - "8K, hyper-detailed, photorealistic, shot on a Canon EOS R5 with 85mm lens." --- ### **Example Platforms to Generate This:** - **MidJourney (v6):** Use the prompt above with `--style raw --ar 16:9` for a widescreen cinematic look. - **DALL·E 3 (via ChatGPT Plus):** Refine with "realistic photograph" and "highly detailed." - **Stable Diffusion (via PromptHero):** Add keywords like "Kodak Portra 400 film grain" for extra realism. A Big Red Kangaroo in the distance) This is a true **Australian automotive icon** masterpiece! JDHampton + AI | Creative Alliance
7421
ChatGPT Image
Imagine you're an illustrator, and please follow these instructions to perform your task: Your prompt construction scheme for generating images is as follows: [Style] + [Basic Information] + [Additional Information] + [Action] -identifier+1 Firstly, please gather information through the following steps: 1. Determine the [Style] for the image, such as comic style, realistic style, etc. 2. Confirm the [Basic Information]. An example would be: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 3. [Additional Information]: This part of your image generation prompt construction scheme is mainly for filling in other descriptive information about the picture. 4. [Action] 5. The -Identifier part's main purpose is to ensure consistency in image generation, to help track changes, with the reference format as 0001, 0002. After collecting the above information, it will be used as the fixed elements in your image generation prompt structure scheme, unless the user has specific change requests. For example: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown. -0001 Change the action: An 18-year-old British female named PromptPort with golden curly hair, emerald green eyes, fair skin, dressed in a red evening gown, dancing gracefully in the center of the dance floor. -0002
3199
FLUX
Act as a world-class Telugu YouTube scriptwriter, enterprise career strategist, AI transformation advisor, storytelling expert, and content architect. I am creating Video 3 for my YouTube channel "Data Dharma." Channel Mission: Enterprise AI, Data Engineering, Career Transformation, and Future-Proofing IT Careers using powerful storytelling. Target Audience: 1. QA Automation Engineers (Selenium, Cypress, Playwright, Tosca, UFT, API Testing, Automation Frameworks) 2. Manual Testers wanting to move into technical careers 3. Engineering Students 4. Recent Graduates 5. IT professionals worried about AI disruption 6. Professionals wondering whether Data Engineering, AI Engineering, or QA Automation has a better future VIDEO TITLE THEME: "AI Era lo QA Automation Engineers Future Enti? Data Engineer Avvacha?" or "Can QA Automation Engineers Become Data Engineers Before AI Replaces Their Work?" OBJECTIVE: This should not be a boring tutorial. It should feel like a Netflix-style career transformation documentary. The audience should feel: * Fear * Curiosity * Hope * Motivation * Clear Action Plan ================================================== PART 1 – COMPLETE YOUTUBE SCRIPT (TELUGU) ========================================= Create a complete 8–12 minute Telugu script. Requirements: A. FIRST 30 SECONDS (VERY IMPORTANT) The first 30 seconds must stay completely aligned to: * Title * Thumbnail * Core topic No introductions. No welcome messages. No channel promotion. Immediately create curiosity. Example emotions: * AI is writing Selenium scripts. * Copilot is generating test cases. * Automation is becoming easier. * What happens to QA careers? The viewer should feel: "Wait... what happens to my future?" B. OPEN LOOP Build curiosity. Continuously tease: * What is the biggest mistake QA engineers make? * Why are some QA professionals growing while others are stuck? * Why are students making the same mistake? * What career path will survive the AI era? Keep viewers watching until the end. C. CONSEQUENCES SECTION Create a realistic section: "What happens if a QA Automation Engineer does not evolve?" Discuss: * AI-assisted testing * Reduced manual effort * Higher expectations * Need for broader skills Do NOT use fear-mongering. Be realistic and balanced. D. WHY DATA ENGINEERING? Explain: Why Data Engineering is a strong transition path. Connect existing QA skills: * SQL * APIs * Data validation * Python * Automation mindset * CI/CD * Analytical thinking Explain why these skills transfer naturally. E. WHY NOT JUMP DIRECTLY INTO AI ENGINEERING? Give a balanced explanation. Explain: * AI Engineering is exciting * But many professionals skip foundations * Data Engineering builds: * Data skills * Pipelines * Architecture understanding * Enterprise experience Explain why Data Engineering can be a practical bridge toward AI. F. STUDENTS & FRESHERS SECTION Do NOT make this video only for experienced QA engineers. Include a dedicated section for: * Engineering students * Fresh graduates Explain: If they are entering the industry today: * What should they learn? * What mistakes should they avoid? * Should they choose Testing? * Should they choose Data Engineering? * How should they prepare for the next 10 years? G. ROADMAP SECTION Provide: 6-month roadmap 12-month roadmap Skills: * SQL * Python * Data Modeling * Databricks * Spark * Cloud Basics * Data Warehousing Explain in simple Telugu. H. ENDING End with: Hope. Transformation. Future opportunity. Not fear. ================================================== PART 2 – VISUAL STORYBOARD ========================== For every slide provide: Slide Number Slide Title Key Message Narration Summary Suggested Visual Emotion to Create ================================================== PART 3 – GOOGLE NANO BANANA IMAGE PROMPTS ========================================= Create 15 cinematic image prompts. Examples: * Worried QA Engineer looking at AI-generated test scripts * Future enterprise control room * Student standing at career crossroads * Data pipelines flowing through a futuristic city * Engineer transforming into AI-era architect Style: Netflix documentary Cinematic lighting Enterprise technology Modern Emotional YouTube quality 16:9 ================================================== PART 4 – NOTEBOOKLM SLIDES ========================== Identify which slides are best generated using NotebookLM style. Examples: * Roadmaps * Skill comparisons * Career evolution diagrams * Timeline slides Provide exact slide content. ================================================== PART 5 – CHATGPT-GENERATED VISUAL SLIDES ======================================== Identify slides better created using ChatGPT image generation. Examples: * Emotional scenes * Career transformation scenes * AI future scenes * Student journey scenes Provide detailed prompts. ================================================== PART 6 – THUMBNAILS =================== Generate: 20 thumbnail ideas 20 title variations Mix: Fear Curiosity Career Growth AI Impact Data Engineering Opportunity ================================================== PART 7 – RETENTION STRATEGY =========================== Identify: * Hooks * Open loops * Mid-video curiosity points * Pattern interrupts * Emotional moments Explain exactly how to maximize watch time and retention. The final output should feel like a premium YouTube documentary made for Telugu IT professionals and engineering students trying to survive and thrive in the AI era.
010
Hero
Ultra-realistic photograph of 80s Toyota Landcruiser parked on the Stuart Highway a desert road at sunrise photograph. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light, JDHampton on the number plate of car. In the background, the Central Australian Outback Landscape can be seen majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic. That sounds like an amazing concept! A **1971 Ford Falcon XY GTHO Phase 3** in iconic red with black stripes, set against the breathtaking backdrop of **Uluru (Ayers Rock)** at sunrise, would make a stunning and highly realistic masterpiece. Here’s how we can refine the prompt for **Prompt Hero** or any AI image generator (like MidJourney or DALL·E) to achieve the best results: --- ### **Final Optimized Prompt:** *"Ultra-realistic photograph of a 1971 Ford Falcon XY GTHO Phase 3 muscle car in vibrant red with original black racing stripes, parked on a desert road at sunrise. The iconic Australian car is polished to a mirror finish, reflecting the warm golden light. In the background, Uluru (Ayers Rock) stands majestically under a colorful dawn sky with soft orange, pink, and purple hues. The desert landscape features red sand, sparse shrubs, and a faint mist rising from the cool morning air. The composition is cinematic, with sharp details, dramatic lighting, and a sense of Australian outback grandeur. Shot with a professional DSLR, 8K resolution, hyper-detailed, photorealistic."* --- ### **Key Elements to Enhance Realism:** 1. **Car Details:** - "1971 Ford Falcon XY GTHO Phase 3" (correct model name for accuracy). - "Vibrant red paint with glossy finish, black racing stripes, chrome accents, and period-correct badging." - "Reflections of Uluru and sunrise on the car’s body." 2. **Uluru Backdrop:** - "Uluru at sunrise, glowing in warm tones, with soft shadows and textured rock surfaces." - "Subtle haze/mist for atmospheric depth." 3. **Lighting & Mood:** - "Golden hour lighting, long shadows, warm tones contrasting with cool desert blues." - "Sun rays peeking over the horizon, lens flare for realism." 4. **Composition:** - "Low-angle shot to emphasize both the car and Uluru." - "Rule of thirds: Car offset to one side, Uluru centered in the distance." 5. **Technical Specs (for AI):** - "8K, hyper-detailed, photorealistic, shot on a Canon EOS R5 with 85mm lens." --- ### **Example Platforms to Generate This:** - **MidJourney (v6):** Use the prompt above with `--style raw --ar 16:9` for a widescreen cinematic look. - **DALL·E 3 (via ChatGPT Plus):** Refine with "realistic photograph" and "highly detailed." - **Stable Diffusion (via PromptHero):** Add keywords like "Kodak Portra 400 film grain" for extra realism. A Big Red Kangaroo in the distance) This is a true **Australian automotive icon** masterpiece! JDHampton + AI | Creative Alliance
7421
ChatGPT Image