Add model card README for ConsID-Gen

README.md

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+---
+language:
+- en
+license: apache-2.0
+tags:
+- image-to-video
+- video-generation
+- identity-preservation
+- view-consistency
+- diffusion
+- consid-gen
+pipeline_tag: image-to-video
+library_name: diffsynth
+---
+
+# ConsID-Gen
+
+**ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation**
+
+Mingyang Wu, Ashirbad Mishra, Soumik Dey, Shuo Xing, Naveen Ravipati, Hansi Wu, Binbin Li, Zhengzhong Tu (2026)  
+Accepted by **CVPR 2026**.
+
+## Summary
+
+This repository contains the model checkpoint for our paper:
+
+**ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation**.
+
+ConsID-Gen focuses on generating videos that maintain:
+
+- strong identity preservation,
+- cross-view consistency,
+- temporal coherence.
+
+## Files
+
+- `model.safetensors`: Main model checkpoint.
+
+## Usage
+
+Please refer to the project scripts for training/inference entry points (for example `run_train_considgen.py` and `run_inference_considgen.py`) and adapt paths/configs to your environment.
+
+## Citation
+
+```bibtex
+@inproceedings{wu2026considgen,
+  title={ConsID-Gen: View-Consistent and Identity-Preserving Image-to-Video Generation},
+  author={Wu, Mingyang and Mishra, Ashirbad and Dey, Soumik and Xing, Shuo and Ravipati, Naveen and Wu, Hansi and Li, Binbin and Tu, Zhengzhong},
+  booktitle={CVPR},
+  year={2026}
+}
+```