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AI Image Generation & Dispatch

Ultra Elite users gain access to the integrated image generation pipeline directly connected to communication tools.

Core Architecture

How It Works Under The Hood

The AI Image Generation & Dispatch module is built on a highly optimized C++ and Python bridge. By bypassing standard Windows UI restrictions, Coral AI directly interfaces with system memory, native Win32 APIs, and DOM structures to achieve near-zero latency execution.

Text-to-Image Generation

Uses advanced diffusion models to create hyper-realistic images from voice prompts.

Local File Saving

Saves the high-res generated asset into a hidden temp folder on your C: drive.

Attachment Emulation

Simulates the 'Attach File' workflow in WhatsApp to select the generated image.

One-Shot Workflow

'Generate a sunset and send it to Mom' executes all the above in one single command chain.

Diagnostics

Execution Trace

~ > coral execute --module ai-image-generation-dispatch --verbose
0.00ms [INFO] Initializing C++ memory hooks... OK
2.14ms [INFO] Bypassing UI thread restrictions... OK
5.89ms [INFO] Allocating vector buffer for LLM context...
8.22ms [WARN] Elevating privileges to Admin ring...
14.01ms >>> Execution payload delivered successfully.

Technical Specs

  • Latency< 15ms
  • RuntimeC++ / Py 3.11
  • PrivilegeRing 3 / Admin
  • Offline ModeRequires Internet

Agentic Integration

This module does not operate in isolation. It is dynamically invoked by the Coral PlannerAgent via JSON-RPC, allowing it to be chained endlessly with vision and memory modules.