xinsir6/ControlNetPlus
Some data may be outdated — see provenance labels.
ControlNet++: All-in-one ControlNet for image generations and editing! observed · 2026-10-03
Health v2 · maintenance only
24/100
- Activity 0
- Release rhythm 35
- Longevity 60
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 840
- days_rel: n/a
- days_push: 750
- n_releases_24m: 0
Adoption not part of the score
2143 stars · 64 forks observed · 2026-10-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
ControlNet++ is an all-in-one ControlNet model and architecture supporting 10+ control types for text-to-image generation and image editing, built on SDXL. It extends the original ControlNet with new modules that share a single condition encoder across multiple image conditions without extra computation.
Use cases
- generate images with multiple control conditions
- deblur images with diffusion models
- upscale images to high resolution
- edit images with fine-grained control
- control stable diffusion image generation
- super resolution image enhancement
When to choose
- you need multi-condition control over SDXL image generation
- you want tile-based deblur, variation, or super-resolution editing
- you need high-resolution outputs comparable to midjourney
When to avoid
- you need SD3 support, which is paused pending GPU resources
- you need a plug-and-play inference pipeline rather than model weights and integration code
Facets
library · maturity active
machine-learning image-processing stable-diffusion artificial-intelligence image-processing deep-learning python controlnet text-to-image sdxl diffusion-models image-editing model-weights gpu
1 source
- readme: https://github.com/xinsir6/ControlNetPlus · fetched 2026-10-03 · 90df0236fc27
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| xinsir6/ControlNetPlus | main | 24 |
For agents
markdown · JSON · MCP: product_card(name="xinsir6/ControlNetPlus")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem