qyup/grok-video-generator repository overview

⁠grok-video-generator Docker Image

⁠Description

This Docker image provides a pre-configured environment for generating AI-powered videos using the grok-video-generator project. It includes all necessary dependencies, libraries, and tools to streamline the video creation process. This image ensures consistent and reproducible results across different environments, simplifying deployment and integration.

This containerized solution allows users to quickly get started with generating AI videos without the hassle of managing complex software dependencies. It’s built for ease of use and designed to seamlessly integrate with workflows that leverage AI video generation capabilities.

⁠How to run

To run the grok-video-generator Docker image, you will need Docker installed on your system. The following command will pull the image from the registry and start the container: bash docker pull your-dockerhub-username/grok-video-generator:latest

After pulling the image, you can run it with the following command. Be sure to replace placeholders like /path/to/your/input/data and /path/to/your/output/videos with your actual paths. You may also need to adjust environment variables as needed. bash docker run -d
--name grok-video-generator
-v /path/to/your/input/data:/app/input
-v /path/to/your/output/videos:/app/output
-e API_KEY="YOUR_API_KEY"
-e MODEL_NAME="default_model"
-p 8080:8080
your-dockerhub-username/grok-video-generator:latest

Explanation of parameters:

• -d: Runs the container in detached mode (background).
• --name grok-video-generator: Assigns the name "grok-video-generator" to the container.
• -v /path/to/your/input/data:/app/input: Mounts your local input data directory to the /app/input directory inside the container. This allows the container to access your input files.
• -v /path/to/your/output/videos:/app/output: Mounts your local output directory to the /app/output directory inside the container. This allows the container to save the generated videos to your local machine.
• -e API_KEY="YOUR_API_KEY": Sets the API_KEY environment variable inside the container. Replace YOUR_API_KEY with your actual API key.
• -e MODEL_NAME="default_model": Sets the MODEL_NAME environment variable inside the container. This specifies the AI model to use.
• -p 8080:8080: Maps port 8080 on your host machine to port 8080 inside the container. This allows you to access the video generation service through your web browser or API client (if applicable).
• your-dockerhub-username/grok-video-generator:latest: Specifies the Docker image to use. Replace your-dockerhub-username/grok-video-generator:latest with the actual image name and tag.

After running the container, you can check its logs using the following command: bash docker logs grok-video-generator

To stop the container, use the following command: bash docker stop grok-video-generator

⁠Integration with Supermaker.ai

This container is optimized for integration with the Supermaker.ai ecosystem, as described in the documentation available at: https://supermaker.ai/blog/grok-ai-video-generator-the-ultimate-guide-to-creating-ai-videos-2025/⁠. It is pre-configured to work seamlessly with the Supermaker.ai platform, allowing you to leverage their AI video generation services within your own workflows. Ensure you have the appropriate Supermaker.ai API key and credentials configured in the environment variables.