pHNK /
Synthetic Narrative Pipeline: Deconstructing the Chrome Monk
// THE COMPONENT PIPELINE
Generative Video is not a 'one-shot' process.
It is a composite of Layers, Performance, and Audio.
Built with Midjourney, Nano Banana, and Suno.
Component-Based Assembly
Rejecting the 'text-to-video' slot machine. I treated the scene as a composite: generating the 'Stage' (Background Plate with custom signage) and the 'Actor' (Character Poses) separately to ensure independent control over lighting and composition.
Latent Performance Capture
Using image-to-video interpolation to direct performance. By feeding specific static keyframes (The Walk, The Look) into the model, I constrained the AI's hallucination to follow a strict narrative block, rather than random morphing.
Cultural Research Engine
Authenticity through AI research. I utilized LLMs to analyze Japanese youth slang and 'Drift' subculture linguistics, generating a culturally-grounded prompt for Suno to create a backing track that fit the visual aesthetic perfectly.
The Unifying Grade
The final cohesion happens in the NLE (Premiere). Applying heavy color grading and film grain acted as the 'visual glue,' merging the disparate AI-generated layers into a single, broadcast-ready frame.