Model card

README.md

@@ -1,3 +1,47 @@
 ---
-license: apache-2.0
+license: other
+license_name: minimax-h3-community-license
+license_link: https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE
+base_model: MiniMaxAI/MiniMax-H3
+pipeline_tag: video-to-video
+tags:
+  - lora
+  - video-to-video
+  - game-rendering
+  - minimax-h3
 ---
+
+# AnyGameRenderer: One Generative Renderer from Blockout to AAA for Any Vibe-Coded Games
+
+AnyGameRenderer takes a crude gameplay recording (the "programmer art" agents produce: gray boxes and colored cylinders on flat ground) and a text prompt, and outputs the same gameplay re-rendered in the prompted style, frame-aligned with the input.
+
+This repository holds the **LoRA** (`anygamerenderer_lora.safetensors`, 2.4 GB) that turns [MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3) Ref2VA into AnyGameRenderer. Inference code, the caption builder, and examples are in the GitHub repo: https://github.com/MickeyLLG/AnyGameRenderer_infer.
+
+- 🎮 **Generalizes across genres:** one checkpoint renders tower defense, auto-battlers, top-down survivors, turn-based battles, kart racing, crowd runners, arena survival, co-op games, and shooters.
+- 🎯 **Keeps entity correspondence:** group counts stay correct, entities appear and disappear on the right frame, and small far-away entities are not lost.
+- 📹 **Its input is plain video:** gray blockouts, colored primitives, semantic maps, wireframes, and coarse mockups all work, with no per-object labels or engine hooks.
+- 🎨 **Any prompted style:** photoreal AAA, LEGO, Ghibli, crayon, synthwave, samurai, candy land … with the characters re-imagined to match.
+
+## Files
+
+| file | size | what |
+|---|---|---|
+| `anygamerenderer_lora.safetensors` | 2.4 GB | LoRA on the MiniMax-H3 Ref2VA transformer: rank 128, alpha 128, on `attn.qkv_proj`, `attn.out_proj`, `mlp.fc1`, `mlp.fc2` of every block (musubi-tuner `networks.lora_minimax_h3` format). |
+
+The base weights (Ref2VA transformer, Qwen3-VL-32B text encoder, video and audio VAEs, ~123 GB) are not included; download them from [Comfy-Org/MiniMax-H3](https://huggingface.co/Comfy-Org/MiniMax-H3) after accepting the MiniMax-H3 Community License.
+
+## Usage
+
+```bash
+git clone https://github.com/MickeyLLG/AnyGameRenderer_infer.git && cd AnyGameRenderer_infer
+bash setup_env.sh && conda activate agr
+bash download_weights.sh                                   # base weights -> weights/
+huggingface-cli download AlayaLab/AnyGameRenderer anygamerenderer_lora.safetensors --local-dir weights
+bash run_example.sh                                        # renders the bundled examples (~17 min per 5 s clip on an 80 GB GPU)
+```
+
+Inputs are 1344×768, 24 fps clips of 2–15 s; captions are built from a short `spec.json` with `make_caption.py` (see the repo README and the `anygamerenderer-caption` skill for how to write one).
+
+## License
+
+The LoRA is a derivative of the MiniMax-H3 weights and is distributed under the [MiniMax-H3 Community License](https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE).