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| license: apache-2.0 | |
| library_name: pytorch | |
| pipeline_tag: other | |
| tags: | |
| - world-model | |
| - diffusion | |
| - mining | |
| - video | |
| - causal | |
| - game | |
| # Diffusion Miner | |
| An action-conditioned world model that learned a falling-sand mining sandbox. You hold **A / D** to walk, **W** or Space to jump, and the arrows to dig; it invents the next frame. | |
|  | |
| 256×256 at 12 FPS. The attention prefix is 12 latent frames; a ConvGRU world memory scans 48. About 220M parameters. The codec is a frozen Tile VAE trained on this game, not SDXL. Needs a CUDA GPU with BF16. | |
| This release is the teacher-stage instantaneous flow checkpoint. One step is the right setting — there is no distilled student. | |
| ## Play it | |
| ```bash | |
| pip install torch numpy pillow safetensors huggingface_hub | |
| hf download kerzgrr/diffusionminer --local-dir checkpoints/diffusionminer | |
| python checkpoints/diffusionminer/live_infer.py \ | |
| --local-dir checkpoints/diffusionminer \ | |
| --steps 1 | |
| ``` | |
| If the weights are already in the current directory: | |
| ```bash | |
| python live_infer.py --steps 1 --window-scale 3 --seed 2026 | |
| ``` | |
| Click the window once so it has focus. Esc quits. Clicking the canvas drops a miner into the latent history if you want to poke it. | |
| Write a short gameplay GIF with the scripted training miner: | |
| ```bash | |
| python live_infer.py \ | |
| --local-dir checkpoints/diffusionminer \ | |
| --steps 1 \ | |
| --seed-play \ | |
| --autoplay \ | |
| --frames 144 \ | |
| --output diffusionminer.gif | |
| ``` | |
| ## Controls | |
| | key | action | | |
| |---|---| | |
| | `A` | move left | | |
| | `D` | move right | | |
| | `W` / Space | jump | | |
| | ← ↑ → ↓ | dig that way | | |
| Action vector is `[left, right, jump, dig_left, dig_right, dig_up, dig_down]` as floats in `{0,1}`. Opposite move keys cancel. Only one dig direction is active at a time. | |
| ## What's in the files | |
| | file | what | | |
| |---|---| | |
| | `ema.safetensors` | playable teacher weights | | |
| | `codec.pt` | frozen Tile VAE | | |
| | `config.json` | video / model / codec settings used at train time | | |
| | `livediffusion/` | inference package used by `live_infer.py` | | |
| | `live_infer.py` | live play launcher | | |
| | `demo.gif` | scripted gameplay clip | | |
| If something breaks, it is probably a GPU that cannot do BF16, or running `live_infer.py` without the rest of this snapshot on `sys.path`. | |