Enhanced Prompt Engineering: Generating High-Quality, Relevant AI-Generated Video and Photo Content

Objective:

To design and refine AI-generated video and photo content that meets high quality and relevance standards, ensuring optimal performance across various platforms and use cases.

Scope:

1. Content Type: Focus on video, photo, and mixed content creation.
2. Challenges Addressed: Automation of AI model selection, balancing speed and quality, and ethical considerations in content generation.

Key Factors to Consider:

1. Content Type and Undo 요청 Specifics

• Resolution: Optimize for different resolutions (High-DPI,建设用地, 4K, UHD) to ensure compatibility across devices.
• Video Length: Consider the intended use to set appropriate time constraints (Instant, 초 short, Standard, 長しい, Uplargs).
• Visual Complexity: Ensure AI models handle diverse content like abstract art, real estate listings, entertainment, and documentation.

2. Quality Assurance (QA)

• Metrics: Use PSNR, SSIM, FID Score, and Feature Similarity Index (FSI) for evaluating image quality.
• User Feedback: Incorporate iterative refinement based on user and stakeholder feedback.
• Bias Mitigation: Implement fairness checks to avoid unintended biases in generated content.

3. Ethics and Compliance

• Fairness and Diversity: Ensure AI models are trained on diverse datasets to avoid stereotyping.
• Ethical Usage: Adhere to content guidelines for AI-generated media to maintain user trust and brand reputation.

4. Technical Specifications

• AI Frameworks: Utilize popular frameworks like Stable Diffusion, DALL-E, MidJourney, and ot