
Artificial
An Image-to-Video (I2V) Generation Model from scratch in PyTorch to demystify video diffusion/flow-matching models
NanoI2V is a step-by-step educational repository for building a full Image-to-Video model from the ground up. Core building blocks included: 3D VAEs & Latent video manipulation Diffusion Transformer (DiT) architecture Flow Matching & Diffusion trajectories Image Conditioning & CFG (Classifier-Free Guidance) Rotary Position Embeddings (RoPE) If you're looking for a readable, modular project to learn how modern video generation works under the hood (or to use as a ...
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