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Procedural terrain generation with diffusion models (in Minecraft)
| Date | Stars |
|---|---|
| 2026-07-31 | 776 |
| 2026-08-04 | 791 |
| 2026-08-06 | 791 |
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# Terrain Diffusion Fabric Mod [[Modrinth]](https://modrinth.com/mod/terrain-diffusion) #### UPDATE: The research behind this mod has been accepted to SIGGRAPH 2026, the world's premier graphics conference! That means the research was officially peer reviewed and recognized as a significant contribution to the field. Enjoy the mod! This is a Minecraft Fabric mod integrating [Terrain Diffusion](https://github.com/xandergos/terrain-diffusion). ## Which version should I use? Three builds are available on the [Releases](https://github.com/xandergos/terrain-diffusion-mc/releases) page: **The CPU build is slow unless you are on MacOS.** | Build | Supports | Setup required | |---------------------------| --------------------------- | --------------------------------------- | | **Windows** (recommended) | Windows with any modern GPU | None | | **CUDA** | NVIDIA GPUs | [CUDA + cuDNN install](CUDA_INSTALL.md) | | **CPU** | Everything else | None | > **Mac users:** the CPU build automatically uses CoreML for hardware acceleration on Apple Silicon. No extra setup is needed. Use the `-cuda` build only if you are on Linux, or have an NVIDIA GPU and prefer CUDA (may improve performance). ## Requirements - Minecraft with [Fabric](https://fabricmc.net/) and the [Fabric API Mod](https://modrinth.com/mod/fabric-api) installed - Windows with a GPU OR Linux with an NVIDIA GPU is strongly recommended. CPU inference works but is very slow. - VRAM (GPU RAM) needed: 1.5GB - RAM needed: 2.5GB (May need to increase Minecraft's RAM allocation) ## Usage **If using CUDA build:** First see [CUDA_INSTALL.md](CUDA_INSTALL.md). 1. Download the mod jar from [Releases](https://github.com/xandergos/terrain-diffusion-mc/releases) for your Minecraft version and place it in your Minecraft `mods/` folder. Make sure the Minecraft version matches. 2. Launch Minecraft, at least once online to download the models (~2.5GB). 3. Create a world, and select the **Terrain Diffusion** world type. Click **Customize** to set the `World Scale` (see [Per-world settings](#per-world-settings) below). 4. The mod will search for a land spawn point near the world origin automatically. If the area around (0, 0) is entirely ocean, it may take a moment to find land. Use `/td-explore` (see below) to scout the world further. ## Exploring the World The mod includes a built-in terrain explorer web UI. Run the `/td-explore` command in-game; it will print a clickable link (e.g. `http://localhost:19801`) that opens an interactive map in your browser. Click the map on the left to open a "detailed view". Click the detailed view to get coordinates in the bottom left. You can also filter for certain climates. Use the explorer to scout continents, mountains, islands, and other interesting terrain before venturing out in Minecraft. ## Configuration Edit `config/terrain-diffusion-mc.properties` (created automatically on first launch): ``` # Terrain Diffusion MC configuration # Inference device: "cpu", "gpu", or "auto" (try GPU first then fall back to CPU). # "gpu" uses DirectML on the -windows build, or CUDA on the -cuda build. # GPU builds default to "gpu" so startup fails loudly if no GPU is detected. # CPU build defaults to "auto": uses CoreML on macOS, otherwise CPU. inference.device=gpu # Offload inactive models from VRAM between pipeline stages. # Keeps peak VRAM to ~1.5-2 GB. Set to false if you have ~2.5+ GB free for slightly # faster generation. inference.offload_models=true # Validate SHA-256 for pre-existing files in .minecraft/terrain-diffusion-models. # Set to false if you want to provide custom models/config files without hash checks. validate_model=true # Port for the local terrain explorer web UI (/td-explore). explorer.port=19801 # Spawn search: coarse-pixel region size
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matched fp:73c831b74d2cb91c, llm:Description: 'Procedural terrain generation with diffusion models (in Minecraft)'. Language: Java. No topics provided.
matched fp:73c831b74d2cb91c, llm:Description: 'Procedural terrain generation with diffusion models (in Minecraft)'. Language: Java. No topics provided.
matched fp:73c831b74d2cb91c, llm:Description: 'Procedural terrain generation with diffusion models (in Minecraft)'. Language: Java. No topics provided.