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DreamCube

Model
@DrHepa· Jul 2026
About

Modly extension for DreamCube RGB-D panorama and navigable scene generation with UI-managed weights.

Repository
https://github.com/DrHepa/modly-dreamcube-extension
View on GitHub
Install in Modly
  1. 1
    Open “Models” in the app
    Go to the Models page and click Install from GitHub.
  2. 2
    Paste the repository URL
    Use the Copy button above, then confirm the installation.
  3. 3
    Download the model
    Once installed, download the model or one of its variants.
Documentation

From the project README

Independent Modly integration for DreamCube, maintained by DrHepa. It accepts a front RGB image, generates or uses a front depth map, estimates sparse cubemap depth, runs DreamCube when requested, and returns images or a GLB mesh through Modly jobs; scene manifests are retained as auxiliary sidecars.

This repository is the Modly extension, not the official DreamCube project. DreamCube source code and model weights remain separate third-party assets. The pinned upstream source does not declare a source-code license; the model repositories declare their own weight licenses.

Features Internal auto-depth by default using Depth Anything V2 Small. Optional manual depth input for users who already have a front-view depth map. Setup status and logs written under .modly/setup/ for installation diagnostics.

Requirements Modly with local model-extension support. Python 3 and git available to the setup environment. A CUDA/PyTorch-compatible NVIDIA GPU for practical DreamCube generation. Disk space for the extension-local virtual environment, the DreamCube upstream checkout, model weights, and runtime caches.

The currently validated development lane is Linux ARM64 with Python 3.12 and NVIDIA CUDA. Other operating-system, architecture, Python, or GPU lanes should be treated as unverified until they are tested; setup reports an actionable error instead of silently pretending that an unsupported dependency lane is ready.

Read the full README on GitHub →
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