# Kosinkadink/ComfyUI-Advanced-ControlNet

ControlNet scheduling and masking nodes with sliding context support

Repository: https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet
Canonical: https://ross.abutalabs.com/products/comfyui-advanced-controlnet
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2026-07-28T11:39:29+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 94, release rhythm 35, longevity 80
- inputs: {"age_days": 1128, "days_push": 36, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1004, forks 97 (observed 2026-08-28T04:03:11.510972+00:00)

## What it is
A set of ComfyUI custom nodes providing advanced ControlNet scheduling, weighting, and masking for Stable Diffusion workflows. It supports timestep/latent keyframes, attention masks, and sliding context sampling across many ControlNet variants including T2IAdapters, ControlLoRAs, SparseCtrl, and SVD-ControlNets.

## Use cases
- schedule controlnet strength across diffusion timesteps
- apply masks and custom weights to controlnet in comfyui
- use controlnet with animatediff sliding context windows
- replicate 'my prompt is more important' from auto1111 controlnet
- use sparsectrl or svd controlnet models
- apply reference-only controlnet modes like adain and attention

## When to choose
- you use ComfyUI and need fine-grained ControlNet strength scheduling or masking
- you animate with AnimateDiff and need sliding context ControlNet support
- you need Auto1111-style soft weight features in ComfyUI

## When to avoid
- you use Automatic1111 or Forge instead of ComfyUI
- you only need basic ControlNet application without scheduling or masks
- you need ControlNet preprocessors, which live in comfyui_controlnet_aux

## Facets
- artifact type: plugin
- maturity: active
- function: image-processing, machine-learning, plugin-system
- domain: image-processing, artificial-intelligence, developer-tools
- platform: python, cross-platform
- tags: comfyui, controlnet, stable-diffusion, animatediff, custom-nodes, generative-ai

## Member repositories
- Kosinkadink/ComfyUI-Advanced-ControlNet (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:11.510972+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:13:41.727962+00:00, confidence not recorded.
  - readme: https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet (fetched 2026-08-28T04:03:11.510972+00:00, sha a52c4e8cb42b)
- Data as of 2026-08-30T08:39:29.467469+00:00.