Improve model card: Add pipeline tag, library, project link, and sample usage

README.md

@@ -1,14 +1,46 @@
 ---
 license: mit
+library_name: transformers
+pipeline_tag: any-to-any
 ---
+
 # MMaDA-Parallel-M
 
 We introduce Parallel Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation (MMaDA-Parallel), a parallel multimodal diffusion framework that enables continuous, bidirectional interaction between text and images throughout the entire denoising trajectory.
 
 ## Note: This version is still in development; artifacts during generation can be seen. 
 
+[Paper](https://arxiv.org/abs/2511.09611) | [Code](https://github.com/tyfeld/MMaDA-Parallel) | [Project Page](https://tyfeld.github.io/mmadaparellel.github.io/)
+
+<div align="center">
+  <img src="https://github.com/tyfeld/MMaDA-Parallel/raw/main/assets/demos.png"/>
+</div>
+
+## Sample Usage
 
-[Paper](https://arxiv.org/abs/2511.09611) | [Code](https://github.com/tyfeld/MMaDA-Parallel) 
+This example demonstrates how to perform parallel generation using MMaDA-Parallel-A. Make sure you have installed the necessary dependencies as outlined in the [GitHub repository](https://github.com/tyfeld/MMaDA-Parallel).
+
+```bash
+cd MMaDA-Parallel-A
+python inference.py \
+    --checkpoint tyfeld/MMaDA-Parallel-A \
+    --vae_ckpt tyfeld/MMaDA-Parallel-A \
+    --prompt "Replace the laptops with futuristic transparent tablets displaying holographic screens, and change the drink to a cup of glowing blue energy drink." \
+    --image_path examples/image.png \
+    --height 512 \
+    --width 512 \
+    --timesteps 64 \
+    --text_steps 128 \
+    --text_gen_length 256 \
+    --text_block_length 32 \
+    --cfg_scale 0 \
+    --cfg_img 4.0 \
+    --temperature 1.0 \
+    --text_temperature 0 \
+    --text_temperature 0 \
+    --seed 42 \
+    --output_dir output/results_interleave
+```
 
 # Citation
 ```