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BLBlender

Sdwebuitools

by Derek Wang·Workflow

Images © Derek Wang. Used for product review; image policy.

Why we like it

Sdwebuitools earns a place in the Superhive library for keeping the Stable Diffusion image workflow inside Blender, from compositing depth and canny inputs to linking materials via Project from View.

What is Sdwebuitools?

Sdwebuitools links Blender to AUTOMATIC1111's Stable Diffusion WebUI, bringing AI image generation into the Blender interface. It supports txt2img, img2img (including inpainting), Extras for modifying and enhancing images, up to three ControlNet units, CLIP and DeepBooru interrogate, Lora with adjustable weight, and ADetailer, which is automatically detected in the Blender addon interface when installed in Stable Diffusion WebUI.

The addon can add AI-generated imagery to any Blender scene in two steps, using two ControlNets in Stable Diffusion — depth and canny. First, compositing renders a depth image for the ControlNet depth input and the render result as the canny input. Second, materials are linked to objects using Project from View, which creates UV maps for 3D models based on a specific camera or viewport view, projecting geometry onto a 2D plane. Materials can be linked across all objects, a selected collection, selected objects, or a selected armature.

Workflows can be saved, loaded and removed. The developer notes the process keeps you inside Blender for the whole workflow and does not require learning ComfyUI nodes. Documentation is provided.

Who is Sdwebuitools best for?

Sdwebuitools is best for blender users on Windows who want to generate and integrate Stable Diffusion imagery into their scenes without leaving Blender.

How much does Sdwebuitools cost?

Sdwebuitools is completely free to download and use.

Key features

  • txt2img and img2img generation, with img2img supporting inpainting
  • Up to three ControlNet units, using depth and canny for scene integration
  • Extras tools for modifying and enhancing images
  • Interrogate via CLIP and DeepBooru
  • Add or remove Lora and adjust weight
  • ADetailer support, auto-detected when installed in Stable Diffusion WebUI
  • Save, load and remove workflow configurations

Tags

#stable-diffusion#txt2img#img2img#controlnet#adetailer#interrogate#project-from-view#blender

Frequently asked questions

Does Sdwebuitools work on macOS or Linux?

Sdwebuitools only supports the Windows operating system. Linux and macOS are not supported, and the developer notes that Chinese-language operating systems are also not supported. Before using the addon, you must first install Stable Diffusion WebUI from the AUTOMATIC1111 project, and you also need to install ControlNet within Stable Diffusion WebUI. If your environment does not meet these requirements, the addon will not function as intended, so confirm your platform and dependencies before installing.

What does Sdwebuitools need installed before it will run?

Sdwebuitools requires AUTOMATIC1111's Stable Diffusion WebUI to be installed first, along with ControlNet inside that WebUI. With those in place, the addon supports up to three ControlNet units, Lora, interrogate and ADetailer from within Blender. ADetailer is automatically detected on the Blender addon interface when it is installed in Stable Diffusion WebUI. Check the developer's page and the linked tutorials for setup guidance covering the dependencies and workflow.

How does Sdwebuitools add AI imagery to a Blender scene?

Sdwebuitools adds AI imagery in two steps using two ControlNets in Stable Diffusion, depth and canny. First, compositing renders a depth image for the ControlNet depth input and the render result as the canny input. Second, materials are linked to objects using Project from View, which creates UV maps for 3D models based on a specific camera or viewport view. Materials can be linked to all objects, a selected collection, selected objects, or a selected armature, and the whole process stays inside Blender.

Which Blender version does Sdwebuitools support?

Sdwebuitools lists Blender version 4.1 support on its page. It is distributed under the MIT license and is listed as free here in the catalog, so check the developer's page for current licensing and any version details before downloading. The addon runs on Windows only and depends on a working Stable Diffusion WebUI with ControlNet, so verify both your Blender version and those requirements match before installing.

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