xinsir6/ControlNetPlus

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2138 stars · 64 forks observed · 2026-08-28

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

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markdown · JSON · MCP: product_card(name="xinsir6/ControlNetPlus")