Neuromorphic Prompt Translation: Emotional Language Enables 20% Efficiency Gains in Video Diffusion Models
Abstract
Neuromorphic Prompt Translation (NPT) achieves 20% efficiency gains in video diffusion models through emotional language conditioning. 20% step reduction with LPIPS less than 0.02; 16% tighter embedding clusters; 23.9% file size reduction in controlled ablation; cross-model validation. Grounded in Modern Hopfield Networks and Energy-Based Models. Predates DeepSeek Engram by 27 days.
Fields of Study & Subjects
Generative Adversarial Networks and Image Synthesis
Multimodal Machine Learning Applications
Domain Adaptation and Few-Shot Learning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Document type
- Preprint