Modelpublic

NimVideo/cogvideox-2b-img2vid

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face

80likes383downloads

Model Card

🎥 CogVideoX-2B-Img2Vid 🚀

Fine-tuned on 10 million videos for high-quality generation at SBS levels comparable to CogVideoX-5B! 🌟

Model Highlights 🌟

—Fine-tuned on 10 million videos for exceptional image-to-video generation quality.

—Performance benchmarked to match SBS standards at CogVideoX-5B i2v level.

Usage Examples 🔥

Try it for free on nim.video

CLI Inference 🌐

bash

python -m inference.cli_demo \
    --video_path "resources/truck.jpg" \
    --prompt "A truck is driving through a dirt road, showcasing its capability for off-roading." \
    --model_path NimVideo/cogvideox-2b-img2vid

Gradio Inference with Web Demo 🖥️

bash

python -m inference.gradio_web_demo \
    --model_path NimVideo/cogvideox-2b-img2vid

ComfyUI Example 💡

<p align="center"> <img src="cogvideox-2b-img2vid-workflow.png" width="800" height="400" alt="Workflow Preview" title="Workflow Example Preview"/> </p> <p align="center"> <a href="cogvideox-2b-img2vid-workflow.json">🔗 JSON Workflow Example</a> </p>

🔧 Find the custom ComfyUI node here.

Quick Start 🚀

1️⃣ Clone the Repository

bash

git clone https://github.com/Nim-Video/cogvideox-2b-img2vid.git
cd cogvideox-2b-img2vid

2️⃣ Set up a Virtual Environment

bash

python -m venv venv
source venv/bin/activate

3️⃣ Install Requirements

bash

pip install -r requirements.txt

Acknowledgements 🙏

This project builds on the foundational work of CogVideoX.