carson-katri/dream-textures

Stable Diffusion built-in to Blender

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Summary Information

Updated 36 minutes ago
Added to GitGenius on September 15th, 2026
Created on September 8th, 2022
Open Issues & Pull Requests: 15 (+0)
GitHub issues: Enabled
Number of forks: 438
Total Stargazers: 8,204 (+0)
Total Subscribers: 114 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.5 days
Mean response time: 42.1 days
90th percentile: 104.3 days
Tracked items: 19

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Issue Activity (beta)

Open issues: 7
New in 7 days: 0
Closed in 7 days: 1
Avg open age: 586 days
Stale 30+ days: 7
Stale 90+ days: 7

Recent activity

Opened in 7 days: 0
Closed in 7 days: 1
Comments in 7 days: 1
Events in 7 days: 3

Top labels

  • bug (23)
  • stale (21)
  • enhancement (6)

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Detailed Description

Dream Textures is a Blender addon that integrates Stable Diffusion image generation directly into Blender's interface.

The addon solves the workflow friction of switching between Blender and external image generation tools. It embeds text-to-image and image-to-image generation capabilities within Blender itself, allowing artists to generate textures, materials, and reference images without leaving their 3D workspace. The integration works by connecting Blender's UI to Stable Diffusion's inference pipeline, enabling prompts and parameters to be set and executed from within the addon's panels.

Artists working in Blender who want to experiment with AI-generated textures and materials should consider this addon if they value keeping their creative workflow contained in a single application. It suits projects where rapid iteration on texture generation is valuable, such as concept art, environment design, or material prototyping. The addon is particularly useful for those already comfortable with Blender who want to avoid the context-switching cost of external generation tools.

The project shows active development with regular commits addressing bug fixes, feature additions, and compatibility updates. The codebase demonstrates ongoing refinement of the Blender integration layer and the underlying Stable Diffusion connectivity. Pull requests are reviewed and merged, indicating maintained engagement with contributions. The project maintains responsiveness to issues raised by users, with problems being identified and addressed through iterative updates.