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MAGREF-Video/MAGREF ★ 299 10 APPLICATION

MAGREF is a video generation application that creates videos from text prompts and reference images using a diffusion model with subject disentanglement. The system implements a modular architecture separating model logic, configurations, distributed computing support, and utility functions. Key entry points include generate.py (main script) and shell scripts for single/multi-GPU inference. The primary data flow involves encoding text prompts with T5, processing reference images through CLIP and custom resizing/padding, running diffusion steps with a WanModel transformer, and decoding latents to video via VAE. External dependencies include PyTorch, Hugging Face Transformers and Diffusers, xfuser for context parallelism, and flash-attention for efficient computation.

RATING: 8.2/10 MAINT: active DRIFT: low
▸ 3 reusable components found
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