⬇️Running Sogni Fast Worker Locally

How to install Sogni Fast Worker for Windows & Linux

Installing Sogni Fast Worker is as simple as downloading and running the interactive installer after confirming the destination machine meets all the requirements.

The interactive installer automatically downloads and run the latest Docker Hub hosted Sogni Fast Worker client Docker Image and any necessary models (based on your configuration choices). It then connect to the Sogni Supernet network and wait for image generation job requests. The Sogni Supernet then credits your Sogni Base Sepola testnet wallet for work completed.

Sogni Fast Worker currently requires a Windows or Linux machine with a supported Nvidia GPU, 48gb of ram, ~30gb of free disk space, and a decent internet connection (5-10 Mbps).

Local Installation for Windows

1. Install Docker Desktop: Available to dowload for free from docker.com

2. Create Your App Folder: Download the Sogni Fast Worker Windows installer zip file and extract the "Sogni Fast Worker" folder to where you want to run the worker. If you don't have another place in mind your Desktop is a fine place.

3. Run Installer: Double-click the worker-install.bat to start the interactive install process.

The installer .bat scripts for Windows are provided for your convenience but for additional security you may opt to install and run the worker client manually via the command line. There are directions provided in the README.md file packaged with the installer to do this.

Local Installation for Linux

Step 1: Install Docker Engine for your flavor of Linux based on Docker's guide: https://docs.docker.com/engine/install/

Step 2: Verify Docker Installation

Run the hello-world image to verify that Docker is installed correctly:

sudo docker run hello-world

You should see a message saying "Hello from Docker!"

Step 3: Manage Docker as a Non-Root User (Optional)

To run Docker commands without sudo, add your user to the docker group:

sudo usermod -aG docker $USER

Log out and log back in for the changes to take effect.

Test Docker Without sudo:

docker run hello-world

Step 4: Install NVIDIA Container Toolkit (Installation Guide)

Required to use NVIDIA GPUs with Docker

1. Set Up the Package Repository and GPG Key:

   distribution=$(. /etc/os-release;echo $ID$VERSION_ID)
   curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add -
   curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | \
   sudo tee /etc/apt/sources.list.d/nvidia-docker.list

2. Update the Package Index:

   sudo apt-get update

3. Install the NVIDIA Docker Package:

   sudo apt-get install -y nvidia-docker2
   sudo systemctl restart docker

4. Test the Installation:

   docker run --gpus all nvidia/cuda:12.0.1-base-ubuntu22.04 nvidia-smi

   You should see the output of nvidia-smi from within the Docker container.

Step 5: Download the Sogni Fast Worker Linux Installer Create Your App Folder: Download the Sogni Fast Worker Linux installer zip file and then extract it. Run worker-install.sh and follow the interactive installer steps.

Running on multiple GPUs

1. Run ./worker-generator.bat to generate docker-compose files for each GPU.

2. run docker compose -f docker-compose-generated.yml up -d

Uninstalling Sogni Fast Worker (╯° · °)╯︵ ┻━┻

To uninstall the Sogni Fast Worker, run worker-uninstall.sh (Linux) or worker-uninstall.bat (Windows). This will:

• Stopped all Sogni Docker containers

• Removed Sogni Docker images

You may then:

• double-click worker-start.bat to start the worker again ┬─┬ノ( º _ ºノ)

• Uninstall Docker Desktop if you no longer need it.

• Delete the Sogni Fast Worker folder if you wish.

• Reach out to our helpful humans at [e-mail] for feedback or support (⌐⊙_⊙)

Troubleshooting

If you encounter any issues with your Sogni Fast Worker, here are some steps to help diagnose and resolve common problems:

Quick Diagnostics

1. Check Worker Status Visit nft.sogni.ai/analytics to see:

   • Connection status

   • Daily and lifetime jobs completed

   • Tokens earned

   • Performance metrics

2. View Live Logs

   • Windows: Double-click worker-debug.bat

   • Linux: Run ./worker-debug.sh

Common Issues

1. Not Receiving Any Jobs

   • Stable Diffusion Worker: You may need additional models. Rerun the installer to set AUTO_DOWNLOAD_TO_MIN_MODEL_COUNT higher, ensuring enough disk space.

   • Low Job Priority: If your worker is slow (low GPU performance, slow network, or heavily used GPU), it may be deprioritized.

   • Still Stuck? Contact us at [e-mail].

2. Worker Fails to Start or Connect

   • Verify Docker is running.

   • Check hardware requirements (GPU, RAM, disk).

   • Confirm your API Key and NFT Token ID are correct.

   • Examine logs via worker-debug.bat or worker-debug.sh.

3. Worker Disconnects

   • Check for unstable internet.

   • Confirm your system isn’t going to sleep.

   • Consider a memory diagnostic if your system restarts randomly (gaming rigs with large GPUs can have defective RAM).

   • Review logs for errors.

Disclaimer

Docker containers run in an isolated environment, separate from your host OS and other containers. While the Sogni Fast Worker is designed with safety in mind, AI image generation is computationally intensive. Ensure adequate cooling and power for extended GPU usage.

Sogni Fast Worker is beta software, provided “as is” without any warranty. We have tested it thoroughly (and run it on our own nodes for months), but you assume responsibility for monitoring your system’s health. There is no guarantee of earnings or that operational costs will be fully offset. Factors such as hardware, internet speed, and market conditions affect performance and rewards.

If you have concerns or questions, reach out to [e-mail].

For further support:

• Discord Community

• Sogni Documentation

Thank you for being part of the Sogni Testnet!

Last updated: February 16, 2025

Need help? Join our Discord!

If you have any issues or questions setting up your Sogni Fast Worker you can reach out on Discord or via email to [e-mail] for technical support. Join Sogni Discord ✨