Models Setup

🚀 Workers receive an extra 3 points for each model executed, presenting a beneficial chance for maximizing productivity. It is imperative, however, to select models that are compatible with your system specifications.

⬆️Note: Until the dashboard toggle becomes available, kindly use Docker for manual setup.

1. Text Ui

CPU	4 Threads
Memory	4.00 GB
Image size	24.5GB

# Use this command to start the model on the machine running the worker node.
docker run -d --name text-ui --restart=unless-stopped --network brinxai-network --cpus=4 --memory=4096m -p 127.0.0.1:5000:5000 admier/brinxai_nodes-text-ui:latest

2. Rembg

CPU	2 Threads
Memory	2.00 GB
Image size	9.1GB

# Use this command to start the model on the machine running the worker node.
docker run -d --name rembg --restart=unless-stopped --network brinxai-network --cpus=2 --memory=2048m -p 127.0.0.1:7000:7000 admier/brinxai_nodes-rembg:latest

3. Upscaler

CPU	2 Threads
Memory	2.00 GB
Image size	4.4GB

# Use this command to start the model on the machine running the worker node.
docker run -d --name upscaler --restart=unless-stopped --network brinxai-network --cpus=2 --memory=2048m -p 127.0.0.1:3000:3000 admier/brinxai_nodes-upscaler:latest

4. Stable Diffusion

CPU	8 Threads
Memory	8.00 GB
Image size	5.6GB

# Use this command to start the model on the machine running the worker node.
docker run -d --name stable-diffusion --restart=unless-stopped --network brinxai-network --cpus=8 --memory=8192m -p 127.0.0.1:5050:5050 admier/brinxai_nodes-stabled:latest

📝 Notes

• You can run multiple models simultaneously however just make sure to manage your system resources carefully.

• If any model(s) experiences issues, restart the container. If the problem persist, there may be a system bottleneck; in that case, stop the container. If you suspect it's a bug, feel free to contact us on Discord.