dubery-v3-pipeline

End-to-end product image generation is automated by coordinating category selection, prodref loading, scene randomization, and fidelity-prompt construction to render production-ready visuals. The pipeline applies sidecar-based detail filtering and per-image validation to minimize hallucinations.

Consistent product imagery across UGC categories is maintained through a repeatable pipeline that tracks per-image provenance and layout history. The workflow generates one image at a time using strict fidelity prompts and state tracking to ensure uniform quality.

Deterministic scene randomization for product content generation applies step-wise scripts to vary visual layouts while maintaining reproducibility. This process pairs with fidelity-prompt construction to ensure generated scenes remain accurate to the loaded prodref specifications.

Sidecar files are actively used for detail filtering during the product visual generation pipeline. The workflow loads sidecar data alongside category-driven prodrefs to apply specific visual constraints and validate image fidelity before final render.

Per-image validation checks are required in product image generation to minimize hallucinations and output errors before finalizing the render. The pipeline enforces strict fidelity prompt validation and state tracking to guarantee production-ready visuals.

Automated product image generation operates strictly as a one-image-at-a-time workflow to maintain strict fidelity prompts and accurate state tracking. This sequential processing prevents hallucinations but limits batch generation speed for high-volume output.