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[CVPR 2026🔥] 🧑🎨 OmniLottie, an open-sourced multi-modal instructed vector animation generator that produces Lottie JSONs.
| Date | Stars |
|---|---|
| 2026-07-24 | 727 |
| 2026-07-25 | 729 |
| 2026-07-28 | 730 |
| 2026-07-30 | 732 |
| 2026-08-06 | 732 |
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<!-- <div align= "center">
<h1> Official repo for OmniSVG</h1>
</div> -->
<h3 align="center"><strong>OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens
</strong></h3>
<div align="center">
<a href='https://arxiv.org/abs/2603.02138'><img src='https://img.shields.io/badge/arXiv-2603.02138-b31b1b.svg'></a>
<a href='https://openvglab.github.io/OmniLottie/'><img src='https://img.shields.io/badge/Project-Page-Green'></a>
<a href="https://huggingface.co/OmniLottie/OmniLottie"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Weights-HF-orange"></a>
<a href="https://huggingface.co/datasets/OmniLottie/MMLottie-2M"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Dataset%20-HF-orange"></a>
<a href="https://huggingface.co/datasets/OmniLottie/MMLottieBench"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Bench-HF-orange"></a>
<a href="https://huggingface.co/spaces/OmniLottie/OmniLottie"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Demo%20-HF-orange"></a>
<!-- <a href='https://github.com/OpenVGLab/OmniLottie'><img src='https://img.shields.io/badge/Training-Code-blue?logo=github'></a> -->
</div>
## 🔥🔥🔥 News !!
- [2026/03/20] 🔥 Support HuggingFace format for OmniLottie!
- [2026/03/06] 🔥 [ComfyUI](https://github.com/smthemex/ComfyUI_OmniLottie) (community contribution) is now supported!
- [2026/03/03] 👋 Upload paper and init project. [Read](https://arxiv.org/abs/2603.02138)
- [2026/03/03] 🧑💻 Release the inference code and model weights. 🤗[Weight](https://huggingface.co/OmniLottie/OmniLottie).
- [2026/03/03] 📊 Release 🤗[MMLottieBench](https://huggingface.co/datasets/OmniLottie/MMLottieBench) for benchmarking vector animation generation capabilities.
- [2026/03/03] 💾 Release 🤗[MMLottie-2M Dataset](https://huggingface.co/datasets/OmniLottie/MMLottie-2M).
- [2026/03/03] 👋 Launch the Huggingface 🤗[Demo](https://huggingface.co/spaces/OmniLottie/OmniLottie), try it out!
- [2026/02/21] OmniLottie is accepted to **CVPR 2026**🔥! See you in Denver!
<p align="center">
<img src="assets/OmniLottie-main-demo.gif" alt="Demo GIF" width="720px" />
</p>
## 📑 Open-source Plan
- [x] Project Page & Technical Report
- [x] MMLottie-2M Dataset Release
- [x] Inference Code & Model Weight
- [x] Online Demo (Gradio deployed on Huggingface)
- [x] MMLottieBench Benchmark
- [ ] Training Code
## 🧩 Community Contributions
- 👋 OmniLottie ComfyUI Plugin [ComfyUI_OmniLottie](https://github.com/smthemex/ComfyUI_OmniLottie) by [@smthemex](https://github.com/smthemex).
## 1. Introduction
**OmniLottie** is the first family of end-to-end multimodal Lottie generators that leverage pre-trained Vision-Language Models (VLMs), capable of generating complex and detailed Lottie animations from multi-modal instructions including texts, images, and videos. We also introduce MMLottie-2M, a multimodal dataset with two million richly annotated Lottie animations, along with a standardized evaluation protocol for multi-modal vector animation generation tasks.
## 2. Models Downloading
| Model | Download link | Size | Update date |
|-----------------------------|-------------------------------|------------|------|
| OmniLottie(4B) | [Huggingface](https://huggingface.co/OmniLottie/OmniLottie) | 8.46 GB | 2026-03-02 |
## 3. Dependencies and Installation
The dependencies configured according to the following instructions provide an environment equipped for inference
### 3.1 Clone the Repository
```bash
git clone https://github.com/OpenVGLab/OmniLottie
cd OmniLottie
```
### 3.2 Create Conda Environment
Create and activate a new conda environment with Python 3.10:
```bash
conda create -n omnilottie python=3.10
conda activate omnilottie
```
### 3.3Excerpt of 17,998 characters
Read on GitHub
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matched fp:7c5523a93ecb61ee, topic:vlm, readme:multimodal, readme:vision-language