About How Professionals Use AI: Image and Video Generation

Why Provenance Metadata Does Not Survive Platform Re-Encoding Subject-Driven and Personalized Image Generation Title Sequences and Motion Design Against Model Typography Limits Audio as a Driving Input to Joint Audio-Visual Generation Consent and Persona Rights over a Generated Face or Voice Hard-Cut Montage Editing as a Deliberate Stylistic Choice Post-Hoc Dubbing for Multi-Language Localisation of an Approved Cut Multimodal Reference Conditioning of Image and Video Generation Creative Fatigue in High-Volume Generated Ad Sets Driving a Generation with a Rough 3D or Sketch Animation Pass Conditional Image Generation with ControlNet Where Generated Video Still Loses to a Live-Action Shoot Diffusion-Based Image Editing with Attention Control Generate-Then-Dub Audio Post for Synthetic Video The Creative Brief as the Specification a Generative Pipeline Must Satisfy Text-to-Image Diffusion Models Chaining Reference, Shot, and Assembly Stages into a Repeatable Pipeline Text-Only Prompting for Divergent Concept Exploration Subject Personalization of Text-to-Image Models (Textual Inversion and DreamBooth) Routing Each Shot to the Model That Wins That Shot Type Executing a Shot List as a Batched Generation Pass Data-Bearing and Diagrammatic Frames as a Standing Generation Failure Generating Ad-Creative Variants at Volume for Paid Placement Product and Marketplace Listing Video as a Generated Deliverable Assembling Generated Shots into a Sequence That Holds Together Digital Image Watermarking Disclosure Duties for Synthetic Media Under the EU AI Act and Platform Policy Previsualisation and B-Roll as the First Generative Wins in Film Shot Continuity Across Extensions and Chained Generations Seed and Guidance-Strength Control for Reproducible Variation LoRA Fine-Tuning for a House Style No Reference Set Can Express In-Frame Typography as a Bounded Model Capability Deriving Aspect-Ratio and Duration Variants for Each Placement Five-Second Clip Budgeting as a Sequence Planning Constraint Single-Prompt Clip Generation as a Standalone Production Method Seedance 2.5 as a Long-Duration Reference-Driven Video Model Training-Data Provenance and Vendor Indemnity in Commercial Use The Output Volume Where Prompt-Level Work Stops Paying for Itself Style Frames as a Locked Visual Reference for a Campaign MiniMax H3 as an Open-Weight Joint Audio-Visual Video Model Prompt as Shot Specification: Subject, Camera, Lens, and Lighting Conforming Generated Shots to a Single Grade, Frame Rate, and Container Generative Models as a Production Tool for Commercial Media Text-Only Prompt Control of Generated Image and Video Output Single-Prompt Generation for Disposable Social Clips and Concept Tests Preserving Exact Product Geometry in Generated Marketing Imagery C2PA Content Credentials as Signed Provenance on Generated Media The Shot List as the Unit of Generative Video Work