Stable-Diffusion-Webui-Depthmap-Script

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stable-diffusion-webui-depthmap-script is an Open Source tool that creates high-resolution depth maps for Stable Diffusion WebUI. It can generate 3D stereo image pairs, normalmaps, and 3D meshes from these depth maps.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is stable-diffusion-webui-depthmap-script?

stable-diffusion-webui-depthmap-script is an open-source addon for AUTOMATIC1111's Stable Diffusion WebUI, designed to generate high-resolution depth maps. Utilizing either AI-generated or custom depth maps, the script can create 3D stereo image pairs (side-by-side or anaglyph), normalmaps, and 3D meshes. The outputs can be directly viewed or exported for use in 3D engines. It integrates with Rembg for background removal and supports batch processing of images and videos. The tool can also run in standalone mode, offering flexibility beyond the Stable Diffusion WebUI environment. It incorporates models from Marigold, MiDaS, ZoeDepth, and LeReS, and uses multi-resolution merging for enhanced depth map quality.

Best used for

Ideal for graphic designers and photographers who need to generate realistic depth maps, create 3D stereo images, and produce 3D meshes from 2D images. Especially valuable for those working within the Stable Diffusion ecosystem or requiring advanced depth estimation for creative projects.

Common actions

generate depth maps

create 3D images

process images in batch

convert 2D to 3D

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Capabilities

Key features

High-resolution depth maps
3D stereo image pairs
Normalmap generation
3D mesh creation
Batch processing
Video processing
Standalone mode

Target Audience

graphic designerphotographer

Integrations

rembg

Pricing & Plans

Open Source

Free

FAQs

Can stable-diffusion-webui-depthmap-script be used with existing images?

Yes, the tool can process existing images through its dedicated Depth tab. Alternatively, users can leverage img2img with a denoising strength of 0, ensuring the correct size and selecting 'Crop and resize' for optimal results.

What models does the script use for depth map generation?

The script utilizes several advanced models for depth map generation, including those from Marigold, MiDaS (dpt_beit_large, dpt_large, dpt_hybrid, midas_v21, midas_v21_small), ZoeDepth, and LeReS from AdelaiDepth. Multi-resolution merging is also employed for higher quality.

Is it possible to run this script on Google Colab?

While not officially supported, some components like MiDaS and BoostingMonocularDepth have Colab links. Running the full program on Colab may work, with standalone installation potentially being easier to manage for such environments.

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