# Mikubill/sd-webui-controlnet

WebUI extension for ControlNet

Repository: https://github.com/Mikubill/sd-webui-controlnet
Canonical: https://ross.abutalabs.com/products/sd-webui-controlnet
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2024-08-12T13:06:00+00:00

## Health v2 (maintenance only)
Score: 31/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 92
- inputs: {"age_days": 1298, "days_push": 751, "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 17845, forks 2010 (observed 2026-08-28T04:11:20.479872+00:00)

## What it is
A WebUI extension that adds ControlNet and other injection-based controls to AUTOMATIC1111's Stable Diffusion web UI. It allows on-the-fly conditioning of image generation with pose, depth, edge, and other control signals without merging models.

## Use cases
- control stable diffusion image generation with pose or edge maps
- add depth or canny guidance to AI image generation
- use IP-Adapter for style and face reference in SD
- generate images conditioned on reference images in A1111 WebUI
- apply ControlNet union models in the Stable Diffusion web UI

## When to choose
- you use AUTOMATIC1111's Stable Diffusion web UI and want fine-grained control over generation
- you need pose, depth, lineart, or tile-based conditioning for SD/SDXL
- you want IP-Adapter and other injection-based controls in the WebUI

## When to avoid
- you use ComfyUI or another pipeline instead of A1111 WebUI
- you need a standalone library or API rather than a WebUI extension
- you run a different image generation stack without Stable Diffusion

## Facets
- artifact type: plugin
- maturity: active
- function: image-processing, stable-diffusion, machine-learning
- domain: image-processing, artificial-intelligence, web-development
- platform: python, cross-platform
- tags: stable-diffusion, controlnet, automatic1111, webui-extension, image-generation, generative-ai

## Member repositories
- Mikubill/sd-webui-controlnet (main) score 31

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:20.479872+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 2026-08-29T17:02:26.323558+00:00, confidence not recorded.
  - readme: https://github.com/Mikubill/sd-webui-controlnet (fetched 2026-08-28T04:11:20.479872+00:00, sha 049e48582b17)
- Data as of 2026-08-30T08:39:29.467469+00:00.