Core Criteria for Project Initiation
When considering AIGC commercials or AI product videos, brands must first assess the need for stable product forms. If a product has complex geometry, specific material reflections, or strict brand identity features, pure generative approaches carry high risks of deformation. Decision-makers must define communication goals and core selling points. If these rely on precise detail, such as precision instrument interfaces or cosmetic packaging textures, a hybrid workflow is essential. Prepare detailed reference images and shooting conditions rather than relying solely on text descriptions. The team must confirm sufficient raw footage for image-to-video or inpainting, which is foundational for shape consistency.
Mandatory Requirements for Pre-Production Assets
To ensure controllability in later generation stages, pre-production materials must exceed standard script requirements. Brands must provide high-precision 3D models or multi-angle HD photos as strong constraints for generative models. Storyboards should avoid drastic perspective changes or complex occlusions, as current models easily distort structures during extreme angle shifts. The production team must standardize reference materials, unifying lighting direction and color tone to reduce noise during model inference. Lack of high-quality assets significantly increases project risk, potentially making post-production repair costs exceed traditional filming expenses. Oversights here directly cause logical breaks or shape distortion in the final cut, which simple editing cannot fix.
Scene Construction and Role Allocation Strategy
Efficient collaboration relies on clear role definitions and scene planning. Art directors set visual standards, defining lighting styles and color ranges to ensure all generated content aligns with brand tone. Technical experts focus on model tuning and parameter optimization to resolve technical bottlenecks. Editors must intervene early to plan shot transitions, avoiding narrative gaps in post-production. Scenes should simplify background elements to highlight the product and reduce computational complexity. Team members must regularly sync progress and adjust directions to ensure tight coordination. Clear division of labor reduces communication costs, boosts efficiency, and lays the foundation for high-quality delivery.
Key Control Points During Execution
Maintaining consistent product shape in AIGC video generation hinges on balancing control delegation and recovery. Do not rely solely on prompts for product appearance; use spatial constraint tools like ControlNet to lock product contours. For multi-shot sequences, use fixed seeds or character consistency plugins to keep product feature parameters stable across clips. The team must establish strict version control, marking and archiving intermediate results to trace deformation points. If slight deformation occurs during motion, immediately adjust weight parameters or add keyframe constraints rather than hoping for post-fixes. This stage requires close collaboration between technicians and art directors to real-time assess deviations from brand standards.
Post-Production Correction Logic
Generative imagery rarely delivers directly and requires rigorous post-production compositing. Editors must layer AI-generated backgrounds and lighting with traditionally preserved product subjects. Use digital matte painting or frame-by-frame retouching to correct inevitable local deformations, ensuring smooth edges and logical structure. Color grading must unify the film's color science, eliminating temperature differences from different generation batches. Sound design and subtitles should base on the final locked picture to avoid audio-visual sync issues due to visual adjustments. The acceptance focus here is visual continuity; viewers should not notice obvious splicing traces or lighting logic errors. Unverified effects can undermine product realism and require cautious handling.
Detailed Delivery Acceptance Checklist
Commercial video acceptance covers multiple dimensions, not just subjective feeling. Script and storyboard fidelity are basic checks, verifying if core selling points appear clearly within specified durations. Shooting execution and editing rhythm must meet preset communication goals, avoiding verbosity or information overload. Color grading and sound quality must meet broadcast platform technical standards, with no noticeable noise or audio distortion. For AIGC content, additionally check product shape stability, ensuring no structural collapse during fast motion or close-ups. Define copyright scope clearly, confirming commercial usage rights for generated assets to avoid legal disputes. Archive master and source files separately for future multi-channel distribution or modifications. Every acceptance record must be documented to form a complete project workflow.
Clear Boundaries for Inapplicable Scenarios
Despite AIGC efficiency advantages, it does not suit all brand projects. If products involve strict legal reviews, such as medical devices or financial products, promotional visuals require high accuracy and traceability, which pure generative content may fail to meet compliance standards. For cases emphasizing real user experience or on-site interaction, AI-generated virtual environments may lack necessary emotional resonance and credibility. Additionally, if brands cannot provide high-quality original assets or clear visual standards, failure probability increases significantly. In these cases, traditional filming or 3D animation may be safer choices. Decision-makers must rationally assess technical boundaries to avoid sacrificing brand reputation by blindly pursuing new technology.
Next Step Recommendations
Brands should test AIGC workflows on specific product angles in a small scope before launching full projects. Prototype a single core shot to assess deformation levels and repair costs. Simultaneously, audit existing digital asset libraries to determine what can be reused and what needs re-capture. Communicate deeply with the production team about communication goals and audience preferences, clarifying acceptance standards and responsibilities for each stage. If tests meet expectations, gradually expand to full production. Maintain cautious optimism, using technology as an auxiliary tool rather than a replacement, to efficiently convey brand value. Through continuous iteration and optimization, build an intelligent video production system suited to your brand to enhance market competitiveness.
If you are preparing an AIGC commercial project, first organize the brief, reference images, product or company materials, delivery platforms, and copyright scope, then view theAIGC Video Services Pageto translate abstract preferences into executable production boundaries.
