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Assembling a Current Text-to-Image Stack from Text Encoder, VAE, and Transformer Denoiser

the whole spine assembled as one system — an LLM or CLIP-plus-T5 text encoder, a convolutional VAE, an MMDiT denoiser trained with rectified flow, and a distilled sampler; the most volatile node here, expect the specific composition to shift within two quarters

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Diffusion Models and Flow Matching for Text-to-Video Generation in Physics-Informed AI Systems

Diffusion models operate on a theoretical framework where image generation is modeled as reversing Brownian motion within high-dimensional space by predicting and removing noise added via stochastic …