This repository is a ComfyUI custom node pack that extends the standard ControlNet functionality with advanced scheduling, weighting, and masking capabilities. It provides nodes for timestep and latent keyframes, custom weight curves, attention masks, effect masks, and sliding context windows for video generation (AnimateDiff integration). The system supports multiple control types: ControlNet, T2IAdapter, ControlLoRA, ControlLLLite, SparseCtrl, SVD-ControlNet, Reference, ControlNet++, and CtrLoRA. It also replicates features from Auto1111 like 'My prompt is more important' via soft weights and uncond_multiplier. The architecture is modular, with separate files for each control family (control.py, control_reference.py, control_ctrlora.py, etc.), a shared utilities module (utils.py) providing base classes like AdvancedControlBase and ControlWeights, and a node registration layer (nodes.py, nodes_main.py, etc.). The system integrates deeply with ComfyUI's internal APIs (comfy.controlnet, comfy.model_patcher, comfy.hooks) and uses monkey-patching to inject advanced behavior into standard control objects. A custom inter-node communication protocol (DinkLink) enables coordination with AnimateDiff-Evolved. Key entry points are the node classes registered in __init__.py and nodes.py, which are loaded by ComfyUI's extension system. The primary data flow involves loading a control model, optionally converting it to an advanced version, applying timestep/latent keyframes and weights, and then applying the control during sampling with optional reference injection or sliding context. The system is actively maintained with recent commits, CI publishing, and example workflows demonstrating advanced features like Qwen Image Inpainting and Anima LLLite v2.