Overview
Omniforge represents the maximum throughput benchmark for the Multinex architecture. It proves that the framework can securely distribute and orchestrate intensive, asynchronous tasks—specifically, cinematic AI video synthesis.
Vision Topology
[ Deno Assembler ] (Script Generation & Muxing)
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[ BullMQ / Redis ] (Task Queue)
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[ Rust Worker Node 1 ] [ Rust Worker Node 2 ]
- CUDARIFE Interpolation - Fal.ai Frame Sync
- Optical Flow Blending - ElevenLabs TTS Pull
- GPU-accelerated - GPU-accelerated
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[ Voidweaver UI ]The Execution Path
- Ingestion: An LLM script is broken down into atomic "shot" dependencies by the Deno Assembler and pushed to a Redis BullMQ queue.
- Distribution: Rust-based worker nodes pull jobs from the queue. They hit Fal.ai/Runway for base frames, and ElevenLabs for localized audio.
- Hardware Acceleration: The Rust nodes utilize local GPU resources to run CUDARIFE, interpolating the frames to 60fps and performing optical flow blending.
- Assembly: The Deno layer receives the rendered chunks, muxes the video and audio via FFmpeg, and streams the final asset to the UI.