The core of the project initiation phase is defining visual anchors.
When launching an AIGC ad film project, brands often mistakenly believe that providing a text script alone is sufficient to generate high-quality videos. This cognitive bias leads to repeated revisions later and uncontrollable results. The true core lies in establishing visual anchors. Marketing heads need to compile a reference image set including style tone, color tendencies, light and shadow texture, and composition logic. These images should not serve merely as aesthetic displays but as technical constraints. The production team must decompose quantifiable visual parameters from the reference images, such as low saturation, high contrast, or specific focal length effects. Without such concrete guidance, generated results will be random and difficult to match brand tonality. The risk is that vague requirement descriptions force the team into extensive trial and error, increasing time costs without guaranteeing final consistency. An exception applies when a brand is in a new exploration phase allowing some visual divergence, in which case a longer iteration cycle must be reserved.
Prompt engineering must be deeply integrated with storyboard scripts.
Prompts are the digital extension of storyboard scripts. When preparing materials, brands should convert the visual description of each shot into structured prompt modules. This includes subject description, environmental details, motion dynamics, and camera movement trajectories. The production team must confirm that prompts for each shot are exclusive and avoid ambiguous vocabulary. For example, specifying "soft morning side light" is more executable than "nice lighting." The criterion is whether different operators can generate drafts with similar visual logic based on the same set of prompts. If significant deviations occur, the prompt refinement is insufficient. In execution, it is recommended to build a prompt library, solidifying common brand elements into standard terms. The risk is over-reliance on the default style of general large models, resulting in outputs lacking brand distinctiveness. The delivery consequence is that while the final film meets basic logic, it fails internal brand approval.
Reference image management determines the upper limit of generation consistency.
Reference image management directly determines the visual coherence of AIGC ad films. Brands must provide high-resolution, watermark-free source files with clear copyright. The production team must preprocess reference images to extract key feature vectors or train lightweight fine-tuning models. In execution, reference images must be archived by scene, character, and prop, with their weight proportions in the generation process annotated. The criterion is whether the proportion, form, and material of brand elements in the generated image remain highly consistent with the reference images. If the reference images themselves contain perspective errors or lighting contradictions, the generation results will amplify these defects. Therefore, low-quality materials must be eliminated during early screening. The risk is using unauthorized internet images as references, triggering copyright disputes. An exception applies to purely abstract styles, where the need for specific form reference decreases, but requirements for color and texture reference increase. The delivery consequence is that chaotic reference image management will lead to massive repair workloads in post-production compositing.
Version control is a necessary means to address randomness.
Generative imagery has inherent randomness, and a single version often fails to meet commercial delivery standards. The production team must establish a strict version control mechanism. Multiple variants should be generated for each shot, recording the corresponding seed number, prompt version, and reference image combination. During review, brands should not focus solely on single-frame aesthetics but evaluate dynamic fluidity and logical rationality. In execution, it is recommended to name files with version numbers, such as V1.0 for the initial draft and V1.1 for the version after lighting corrections. The criterion is whether version iterations resolve specific issues from previous feedback rather than introducing new errors. The risk is that excessive versions lead to management loss of control, trapping the team in infinite optimization. Therefore, a clear iteration cap must be set. The delivery consequence is that without clear version records, the final film may be spliced from multiple incompatible segments, damaging the overall viewing experience.
Post-production compositing must compensate for generation defects.
Raw materials generated by AIGC usually suffer from flickering, deformation, or missing details, requiring professional post-processing. Editors must check materials frame by frame to identify and mark flawed areas. Colorists must unify the overall tone to eliminate color banding caused by multiple generations. Sound designers must re-score and add sound effects based on visual dynamics, as generated videos typically lack synchronized audio. In execution, masking, tracking, and inpainting techniques must be used to repair keyframes. The criterion is whether the repaired image remains natural under magnification without obvious artificial traces. The risk is that excessive repair causes image distortion, losing the unique texture of generative imagery. An exception applies to highly stylized experimental shorts, where some flaws may be retained as artistic expression. The delivery consequence is that insufficient post-production investment will make the final film appear rough, affecting brand image.
Acceptance checklists must cover both technical and legal dimensions.
The acceptance phase concerns not only visual effects but also compliance. Brands must verify that the final film's resolution, frame rate, and encoding format meet publishing platform requirements. Simultaneously, they must confirm the legal source of all generated materials to ensure no third-party intellectual property rights are infringed. In execution, sign copyright commitment letters and retain complete production logs. The criterion is whether the target audience can accurately understand the core message without explanation. The risk is ignoring the latest platform audit rules, leading to video throttling or removal. Therefore, self-inspection must be based on the latest official requirements before publication. The delivery consequence is that acceptance oversights may lead to legal claims or public relations crises. The handover of source and project files should also be included in the acceptance scope to facilitate subsequent secondary creation.
Define inapplicable boundaries to avoid resource waste.
Not all brand projects are suitable for AIGC ad films. For projects requiring precise display of product physical attributes, complex mechanical structures, or real human micro-expressions, traditional shooting remains the better choice. Generative imagery excels at creating atmosphere, conceptual interpretation, and surreal scenes but has limitations in realistic precision. The criterion is whether the project's core selling point relies on highly controllable real details. If a brand requires millimeter-accurate product reproduction, AIGC is currently inadequate. The risk is that forcing AI technology leads to distorted product information transmission. An exception is combining live-action with AI generation, i.e., a hybrid workflow, where responsibilities for each segment must be clearly defined. The delivery consequence is that incorrect selection will lead to rework or even project failure. Brands should honestly assess requirement characteristics at the project initiation stage and choose matching technical paths.
It is recommended that brands test generation effects on a small scale before launching a project to verify technical feasibility and brand fit. Clarify internal review processes and decision-makers to avoid project stagnation due to differing opinions. Maintain transparent communication with the production team to jointly formulate feasible visual standards and delivery plans.
If you are preparing an AIGC ad film project, you can first organize the brief, reference images, product or corporate materials, delivery platforms, and copyright scope, then view theAIGC Video Services pageto ground communication from abstract preferences to executable production boundaries.
