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Echelon Diffusion System - Production Architecture
This is the **production-grade audio diffusion system** for Computational Choreography's Echelon engine. It transforms embodied motion into generative music through a sophisticated pipeline of neural networks.
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This is the **production-grade audio diffusion system** for Computational Choreography's Echelon engine. It transforms embodied motion into generative music through a sophisticated pipeline of neural networks.
| Parameter | Value | |-----------|-------| | Sample Rate | 44,100 Hz | | Codebook Size | 2,048 | | Embedding Dim | 64 | | Compression | 64× (689 tokens/sec) | | Latent Rate | ~689 Hz |
| Parameter | Value | |-----------|-------| | Architecture | U-Net / DiT | | Base Channels | 256 | | Channel Mults | [1, 2, 4, 8] | | Attention Resolutions | [8, 4] | | Conditioning Dim | 256 | | Training Steps | 1,000 | | Inference Steps | 50 (DDIM) |
| Parameter | Value | |-----------|-------| | Input Dim | 25 (LatentState) | | Window Size | 46 (30 past + 1 + 15 future) | | Trajectory Dim | 64 | | Dynamics Dim | 64 | | Transition Dim | 16 | | Device Dim | 32 | | Output Dim | 256 |
### ✅ Production-Ready - Stateless neural modules - External state management - Deterministic inference - ONNX exportable
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