Cheatsheet Content
### Introduction to AI in Photography & Design AI is revolutionizing creative fields by automating tasks, generating content, and enhancing existing workflows. For photographers and designers, AI tools offer new possibilities from image creation to intelligent editing. ### AI Image Generation - **Text-to-Image (Prompt Engineering):** - **Concept:** Describe desired image in text, AI generates it. - **Tools:** Midjourney, DALL-E 3, Stable Diffusion. - **Prompt Tips:** Be specific. Include style (e.g., "photorealistic," "watercolor"), subject, lighting, composition, colors, mood. - **Example Prompt:** "A futuristic cityscape at sunset, neon lights reflecting on wet streets, high detail, cinematic, cyberpunk style." - **Image-to-Image:** - **Concept:** Transform an existing image based on a text prompt or style reference. - **Use Cases:** Stylization, variations, upscaling. ### AI Photo Editing - **Automated Enhancements:** - **Tools:** Adobe Lightroom (AI Denoise, Enhance Details), Skylum Luminar Neo. - **Features:** Auto-adjustments (exposure, contrast), color correction, sharpening, noise reduction. - **Content-Aware Editing:** - **Tools:** Adobe Photoshop (Generative Fill, Content-Aware Fill), Google Magic Eraser. - **Features:** Object removal, background replacement, expanding canvas, filling gaps intelligently. - **Upscaling & Restoration:** - **Tools:** Topaz Labs Gigapixel AI, Remini. - **Features:** Increase image resolution without losing detail, restore old or damaged photos, deblurring. ### AI in Digital Design - **Generative Design:** - **Concept:** AI creates multiple design variations based on parameters. - **Use Cases:** Logo design, layout generation, UI/UX elements. - **Asset Generation:** - **Tools:** Adobe Firefly. - **Features:** Generate textures, patterns, icons, and 3D models from text prompts. - **Personalization & Optimization:** - **Concept:** AI analyzes user data to create personalized design experiences or optimize layouts for conversion. - **Use Cases:** A/B testing, dynamic content. ### Ethical Considerations & Best Practices - **Copyright & Ownership:** Understand the terms of service for AI tools regarding ownership of generated content. - **Bias:** Be aware that AI models can inherit biases from their training data, potentially leading to stereotypical or unrepresentative outputs. - **Authenticity:** Disclose when AI has been used, especially for journalistic or sensitive content. - **Human Oversight:** AI is a tool; human creativity and judgment remain essential for high-quality and meaningful work.
