Adding Conditional Control to Text-to-Image Diffusion Models

Adds spatial conditioning to pretrained text-to-image diffusion models. A control branch with zero-initialized convolutions accepts edges, depth, or poses while preserving the original backbone.

Adds spatial conditioning to pretrained text-to-image diffusion models. A control branch with zero-initialized convolutions accepts edges, depth, or poses while preserving the original backbone.

When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.

Adds spatial conditioning to pretrained text-to-image diffusion models. A control branch with zero-initialized convolutions accepts edges, depth, or poses while preserving the original backbone.

Check the baselines, datasets, evaluation protocol, and ablations in the original paper. This directory overview does not provide an independent evaluation or experimental results table.