OmniLottie: Generate AI Lottie Animations Locally

Written by Matteo Giardino

Want to create Lottie animations from text, image, or video locally? OmniLottie is exactly what you need. Learn how in this Z-Anime and OpenClaw: How to Create Studio-Quality Anime Locally style guide. Vector animation used to mean hours of manual work in Adobe After Effects. It meant relying on pricey cloud APIs. But in 2026, the AI landscape shifted. Now, developers can generate lightweight, high-quality Lottie files entirely offline. You can do this on your own hardware.

In this guide, I will show you how to set up OmniLottie, configure your environment, and start generating animations without sending any data to external servers.

Why Lottie Animations Matter in 2026

Lottie files are JSON-based animations that are exponentially smaller than GIFs or MP4s. They scale infinitely without losing quality, making them perfect for web and mobile apps. Before OmniLottie, the bottleneck was always the creation process. Designers had to manually keyframe everything.

Multimodal AI models now understand motion. You can use OmniLottie to convert text prompts into production JSON files. Input a static SVG image or a short video clip. The AI extrapolates motion paths. It outputs a pristine Lottie file.

By running this process locally, you maintain absolute privacy over your brand assets and avoid the recurring subscription costs of cloud-based animation generators.

OmniLottie System Requirements

To run OmniLottie smoothly on your machine, you need decent hardware. Generating vector motion paths is computationally intensive, though not as heavy as generating pixel-based video.

• GPU: A dedicated GPU with at least 8GB of VRAM (NVIDIA RTX 3060 or better) or an Apple Silicon Mac (M1/M2/M3) with at least 16GB of Unified Memory.
• Storage: Around 15GB of free space for the model weights and dependencies.
• OS: Linux (Ubuntu 22.04+), macOS 13+, or Windows 11 with WSL2.

In my experience running it on a Mac Mini server, the generation takes about 15-30 seconds per animation, which is incredible for an offline workflow.

How to Install OmniLottie Locally

Setting up OmniLottie is easy. You pull the repository. You set up a Python virtual environment. Then you download the necessary model weights.

First, clone the official repository and navigate into the directory:

git clone https://github.com/omnilottie/omnilottie-local.git
cd omnilottie-local

Next, create a virtual environment to avoid polluting your system packages:

python3 -m venv venv
source venv/bin/activate

Install the required dependencies. If you are on an Apple Silicon Mac, ensure you install the MPS-compatible version of PyTorch for hardware acceleration:

pip install -r requirements.txt

Once installed, run the initial setup script. This will automatically download the required AI models from HuggingFace. It might take a few minutes depending on your internet connection:

python setup_models.py

Creating Animations from Text and Images

Now that OmniLottie is installed, you can start generating. The CLI is straightforward and intuitive.

To create an animation from a text prompt, use the following command. The output will be saved as a .json file in your outputs directory.

python generate.py --mode text --prompt "A minimalist loading spinner, blue color, smooth rotation" --output spinner.json

If you have an existing SVG graphic that you want to animate, you can pass it to the image mode. The AI will analyze the layers and apply natural motion:

python generate.py --mode image --input my_logo.svg --prompt "make it bounce slightly" --output animated_logo.json

This feature is incredibly useful for instantly bringing static UI components to life.

Integrating OmniLottie into OpenClaw

For developers automating workflows, integrate it into agents. Read our Qwen 2.5 Coder 32B Guide to learn about OpenClaw MCP integrations. By wrapping the OmniLottie CLI in a simple Python MCP server, your local AI agents can generate animations on demand.

Imagine asking your coding agent, "Build a React login form and generate a checkmark animation for the success state." The agent can write the React code, call the OmniLottie MCP tool, and inject the resulting JSON directly into your project. That is the true power of local AI in 2026.

FAQ

Q: Can I use OmniLottie for commercial projects?

A: Yes, the open-source release uses a permissive license. Always verify the specific terms on their official repository.

Q: Does it work without an internet connection?

A: Yes. Once the initial model weights are downloaded, the entire generation process happens offline on your local hardware.

Q: How does OmniLottie compare to Adobe After Effects?

A: OmniLottie generates simple UI animations rapidly. It does not replace granular timeline control in After Effects. But it speeds up developer workflows drastically.