Add model card

README.md

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+---
+pipeline_tag: image-to-video
+library_name: diffusers
+language:
+  - en
+tags:
+  - world-model
+  - video-generation
+  - image-to-video
+---
+
+<div align="center">
+
+<img src="https://mbzuai-oryx.github.io/WorldGuide/assets/worldguide-logo.png" alt="WorldGuide" width="120"/>
+
+# WorldGuide: Goal-Directed Video World Model for Procedural Task Execution
+
+[Ankan Deria](https://ankan8145.github.io), [Komal Kumar](https://komalkumar.org), [Hisham Cholakkal](https://hishamcholakkal.com), [Fahad Shahbaz Khan](https://sites.google.com/view/fahadkhans), [Salman Khan](https://salman-h-khan.github.io)
+
+**Mohamed bin Zayed University of Artificial Intelligence**
+
+[![Project Page](https://img.shields.io/badge/Project-Page-2ea44f?logo=googlechrome&logoColor=white)](https://mbzuai-oryx.github.io/WorldGuide/)
+[![GitHub](https://img.shields.io/badge/GitHub-Code-181717?logo=github&logoColor=white)](https://github.com/mbzuai-oryx/WorldGuide)
+
+</div>
+
+Official checkpoints for **WorldGuide**. Method details, results and training code are on the [project page](https://mbzuai-oryx.github.io/WorldGuide/) and on [GitHub](https://github.com/mbzuai-oryx/WorldGuide).
+
+## Checkpoints
+
+```text
+WorldGuide-Ckpt/
+├── transformer/          # WorldGuide Video DiT        → --action_ckpt
+└── text_encoder/llm/     # WorldGuide ContextPlanner   → --planner_model_path
+```
+
+## Usage
+
+```bash
+git clone https://github.com/mbzuai-oryx/WorldGuide.git
+cd WorldGuide
+pip install -r requirements.txt
+
+# Download this repository and all other required components into ./ckpts
+python download_models.py --hf_token <your_hf_token>
+
+# Run closed-loop inference
+bash scripts/inference/run_v5_qwen_closed_loop_memory.sh
+```
+
+## Citation
+
+```bibtex
+@misc{worldguide,
+  title  = {WorldGuide: Goal-Directed Video World Model for Procedural Task Execution},
+  author = {Deria, Ankan and Kumar, Komal and Cholakkal, Hisham and Khan, Fahad Shahbaz and Khan, Salman},
+  year   = {2026}
+}
+```