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@nicolaus-huang nicolaus-huang commented Mar 19, 2025

Inference Scaling

Implementation of scaling method during inferencing inspaired by Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps. Spend more computational resources to get better results. Use it by specifying the sampling option.

torchrun --nproc_per_node 4 --standalone scripts/diffusion/inference.py configs/diffusion/inference/t2i2v_768px_inference_scaling.py --save-dir samples --dataset.data-path assets/texts/sora.csv 
Original
num_subtree=3
num_scaling_steps=5
num_noise=1
time=16min

num_subtree=7
num_scaling_steps=8
num_noise=1
time=1h

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