❓Fast Worker FAQ
Have a question that isn't on this list? We're always updating the FAQ, just give us a ping on one of the channels listed at the bottom of the page 🤙
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Have a question that isn't on this list? We're always updating the FAQ, just give us a ping on one of the channels listed at the bottom of the page 🤙
Last updated
Was this helpful?
Was this helpful?
You can view real-time performance and debugging analytics for your worker using the Fast Worker analytics dashboard at nft.sogni.ai/analytics This dashboard gives a real-time view of what your Fast Worker is actively working on down to the phase and step of each job. If the worker has stopped processing jobs due to a configured cooldown or penalty it will be outlined here.
It also shows daily and lifetime views of all earnings and performance analytics. If your worker has experienced any connection errors and job failures they are also reported here for debugging.
Sogni occasionally pushes important Docker Worker Image updates. In any case where these updates are required, the minimum worker image version to connect to the socket service is incremented and you may get a worker disconnected error like Stable Diffusion Worker v0.2.16 is no longer supported, restarting to upgrade to 0.2.17. Normaly the Health Probe service that is bundled with your worker should restart it and pull the latest image, and reconnect without you having to do anything.
If you do run into an issue, here are troubleshooting steps:
First go to nft.sogni.ai/analytics and click on "My GPU Worker Stats" to access a user-friendly analytics and debug dashboard for your worker. Here you can confirm the Worker Version you are running and if you received any "Last Worker Kick" error messages. If you this error but the version of the worker displayed is higher, and your worker is still connected to the network, you are good to go!
If your worker is showing as offline with the "no longer supported" error you may need to manually restart it or update it. Here are the steps:
Scenario A: You are running the Fast Worker directly
1. Verify the docker image paths are set correctly in your docker-compose.yaml file:
Open the docker-compose.yaml file in your install directory and make sure it includes
For Sogni Fast Worker Stable Diffusion:
image: sogni/sogni-stable-diffusion-worker:latest
For Sogni Fast Worker Flux:
image: sogni/sogni-flux-worker:latest
2. Restart the worker
Run ./worker-stop.sh and ./worker-start.sh on Linux or ./worker-stop.bat and ./worker-start.bat on Windows
3. Re-check the worker status
You can go to nft.sogni.ai/analytics or run the local debugger script to get a log of any errors encountered: Run ./worker-debug.sh on Linux or double click ./worker-debug.bat on Windows.
Scenario B: You are running the Fast Worker on a 3rd Party DePIN Network
You should first try removing and re-adding the Docker Image path above. If this doesn't work you can also replace the ":latest" tag above with the actual latest numeric version of the worker image as listed on our public Docker Hub pages for our Stable Diffusion worker and Flux worker. We have a convenient REST API endpoint which also return the latest Stable Diffusion and Flux version image paths.
If you manually replace :latest with a version like :23 keep in mind that you'll need to manually update it again each time the required min version changes. This often does not change for weeks or months but can change at any time.
Yes, that is fully supported and allowed. You can even transfer the NFT for free between accounts through the transfer form under My NFTs at nft.sogni.ai
Just note that when you transfer a Fast Worker NFT the jobs analytics and history, and leaderboard ranks are attached to the NFT and not to the Sogni account address. So if you transfer the NFT to another account, that account will take over the displayed username, addresss, rank and score in terms of Fast Worker Leaderboard.