Spatial Synthesis & POV

+ The Logic: Image-to-3D Depth Mapping & Coordinate Generation.
+ The Output: Transmuting a singular 2D reference into multiple 3D perspectives (POV).
+ Process: Analyzing geometry from a single image to create a spatial environment that supports 360° rotation and object-aware scaling.
The Agentic Workflow

+ The Logic: Node-Based Interchangeability.
+ The Output: Dynamic look-and-feel "Schmagertation" and style-swapping.
+ Process: Converting sketches to photorealism, or vice-versa, while maintaining structural integrity. Users can scale, segment, and re-prompt at any stage of the neural pipeline.
Cinematic Synthesis

The Logic: High-Fidelity Temporal Consistency via Veo.
The Output: Cohesive 8K Video from Static Visuals.
Process: Passing multi-perspective data into the Video Master node to generate professional-grade motion that respects the lighting and physics of the original seed asset.

     

The Workflow Pillars

The Ingestion Engine (Nano Banana Logic):
   - Function: Analyzes a single image to "understand" geometry, style, and intent.
   - Capabilities: Prompt Analysis, Style Extraction, and Image-to-Sketch conversion.

The Spatial Orchestrator (3D & POV Synthesis):
   - Function: Expands a 2D image into a 3D coordinate system.
   - Capabilities: Generates multiple perspectives (POV) from a singular reference, 3D rotation, and depth segmentation.

The Video Master (Veo Integration):
   - Function: Harmonizes all generated POV and 3D data into a temporal-consistent video.
   - Capabilities: Neural rendering, 8K upscaling, and look-and-feel "Schmagertation" (real-time style swapping).

3. THE "TALK" (Technical Support for Reviewers)
Why Kengwood OS?

While standard AI tools provide a single output, Kengwood OS provides a Workflow Agent. A user can start with a photo, trigger a 3D conversion node, switch to a 'Mirror Fractal' look, and then pass that entire logic to the Video Master node for a final render. It is an end-to-end studio in a single block, designed to scale with the high-compute power of Google Cloud infrastructure.




THE SYSTEM STATUS

Tech Stack Data:
CORE: GOOGLE VERTEX AI
MODELS: GEMINI 1.5 PRO | NANO BANANA | VEO
INFRASTRUCTURE: HIGH-CONCURRENCY MULTI-AGENT CLOUD RUN
STATUS: 30/30 NODES OPERATIONAL




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