
Build with Bombs
Experimental mod for Minecraft that uses a neural network to generate voxel houses when TNT is detonated.

Overview
Build with Bombs AI Description
Build with Bombs is an experimental mod for Minecraft Java Edition that flips the traditional idea of building in the game on its head. Instead of manually erecting walls and roofs, the player detonates TNT dynamite, and a neural network "projects" a finished building in real time right at the epicenter of the blast.
At the core of the mod is voxel diffusion technology — a method related to Stable Diffusion but adapted for three-dimensional space. The neural network, with 23 million parameters, was trained on a dataset of voxel structures, allowing it to create houses that look organic and blend into the surrounding landscape. The entire generation process takes 5 to 10 seconds, during which the neural network processes a 32x32x32 block space and fills it with architectural elements. The project's developer is Timothy Barnes, who released the mod as open source on GitHub.
Build with Bombs Features
| Feature | Value |
|---|---|
| Type | Minecraft mod |
| Category | AI Minecraft, Architectural design |
| Platforms | Minecraft (Java Edition) |
| Interface language | English |
| Free tier available | Yes (the mod is free) |
| Author | Timothy Barnes |
| Minecraft version | 1.18.2 or higher |
| Dependency | Minecraft Forge |
| Generation method | Voxel diffusion (23 million parameters) |
| Generation time | 5–10 seconds |
| Volume limit | 32x32x32 block cube |
| Voxel limit | 1024 |
| Maximum building height | Up to 5 floors |
Who is Build with Bombs AI for?
Players interested in AI technologies
If you're curious about how artificial intelligence can be applied in a gaming environment, Build with Bombs is a great way to see it in action. The mod provides a clear demonstration of how diffusion algorithms work with three-dimensional objects, not just images.
Hobbyist architects and Minecraft builders
The mod suits those who enjoy constructing complex structures but want to save time or find inspiration for new projects. The neural network generates random layouts that can serve as a foundation for further manual refinement.
Experimenters and modders
Users who actively test new mods and enjoy unconventional mechanics will appreciate the original approach to building via dynamite detonation. This isn't just a tool — it's a kind of art piece showcasing the capabilities of AI.
How to Use Build with Bombs AI
Installing the mod
To get started, download the mod file from GitHub. Make sure Minecraft Forge version 1.18.2 or higher is installed. Then move the downloaded ZIP archive into your game's mods folder.
Launching and activating generation
Launch Minecraft through the Forge profile and create a new world or join an existing one. TNT dynamite will appear in your character's inventory. Place it where you want to build a house, light it, and step back to a safe distance. A few seconds after the explosion, the neural network will begin generating the structure.
Preparing the building space
Before activating the dynamite, make sure the area is suitable for construction. Since generation occurs within a 32x32x32 block cube, ensure there's enough open space around. Buildings created by the mod are typically up to 5 floors tall and blend harmoniously into the landscape.
Key Features of Build with Bombs
Building generation via dynamite explosion
The mod's key feature is activating the neural network through TNT detonation. The explosion serves as a trigger that starts the voxel diffusion process. This adds an element of surprise to the building process and makes every result unique.
Neural network with voxel diffusion
The mod uses an architecture similar to Stable Diffusion but adapted for a three-dimensional voxel grid. Training the model took just 8 hours, which explains the project's experimental nature. The neural network can create houses with various layouts and floor counts, and the structures never repeat.
Landscape adaptation
Generated houses fit into the local terrain and blend with neighboring structures. This is achieved by analyzing surrounding blocks and selecting the optimal building shape. The mod also uses textures from the Greenfield map, making the buildings' appearance more aesthetically pleasing.
Build with Bombs Advantages
- Free and accessible to download. The mod is distributed via GitHub with no payments or restrictions.
- Unique, unconventional approach. The idea of using an explosion to generate architecture is a fresh take on game mechanics that sets the mod apart from other building tools.
- Fast generation. The process of creating a house takes just 5–10 seconds, allowing you to experiment with different layouts almost instantly.
Build with Bombs Disadvantages
- Experimental nature. The neural network was trained for only 8 hours, so the quality of generated structures can be inconsistent. Sometimes buildings may turn out illogical or contain artifacts.
- 1024-voxel limit. This cap restricts the size and detail of structures. The mod isn't suitable for large architectural projects.
- Installation requirements. The mod requires the Java version of Minecraft and Forge to be installed, which may deter inexperienced users.
- Performance limitations. Generation was only tested on a powerful RTX 4090 graphics card. On less capable hardware, wait times may increase significantly or errors may occur.
What Problems Does Build with Bombs Solve
Automatic generation of houses and structures
The mod is designed for quickly creating buildings in Minecraft. Instead of hours of manual construction, players can get a finished house in seconds. This is especially useful for those who want to quickly set up an area or create a decorative city.
Creating structures that fit the landscape
The neural network analyzes the surroundings and strives to create a building that looks harmonious in a specific location. This helps avoid the effect of "foreign" buildings that clash with the terrain.
Experiments with AI generation in a gaming environment
Build with Bombs opens up opportunities for exploring how neural networks can be applied in games. It's not just a building generator — it's a demonstration of how diffusion models can work with three-dimensional spaces.
Build with Bombs Pricing
The mod is distributed completely free of charge. There are no paid subscriptions, in-game purchases, or hidden fees. The project is available for download on GitHub, and anyone can use it without restrictions.
Build with Bombs Terms of Use
The mod requires Minecraft Java Edition version 1.18.2 or higher and Minecraft Forge to be installed. All documentation and the mod's interface are in English, so a basic knowledge of English will be helpful for installation and setup. The mod is open source and can be freely downloaded and used for personal purposes.
Build with Bombs Availability
The mod is available for free download via GitHub. A licensed copy of Minecraft Java Edition is required. After downloading the mod archive, you need to install it into the mods folder, making sure Forge is installed first. The mod has no age restrictions and can be used by all players; however, the generation process involves a TNT explosion, which may be undesirable in certain game modes.
How Build with Bombs Differs from Alternatives
There are several AI tools for architectural design on the market, such as BuildCAD AI, Mimarix, Interior Render AI, MyArchitectAI, and Remodel AI. However, most of them work with 2D images or create blueprints for real-world construction. Build with Bombs stands out by generating actual three-dimensional voxel structures directly inside the Minecraft game world.
The main difference is the activation mechanic. While other tools require a simple text prompt or image upload, Build with Bombs uses a dynamite explosion as the trigger to start generation. This adds an element of randomness to the process and makes every result unique. Additionally, the mod targets not professional architects but players who want quick results in a gaming environment.
Conclusion
Build with Bombs is a non-commercial experimental project that demonstrates the potential of neural networks in the gaming industry. The mod uses voxel diffusion with 23 million parameters to automatically generate houses in Minecraft, activated by TNT detonation. Despite its clearly experimental nature and several limitations — such as the 1024-voxel cap and demanding GPU requirements — the project is interesting for its unique concept and accessibility: it's freely distributed on GitHub. It's a great tool for those who want to experiment with AI-generated 3D objects and see how a neural network can create architectural forms from scratch.
Frequently asked questions
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