# 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. 

:arrow\_up:**Note:** Until the dashboard toggle becomes available, kindly use Docker for manual setup.

## 1. Text Ui

<table data-full-width="false"><thead><tr><th></th><th width="381.2000732421875"></th></tr></thead><tbody><tr><td>CPU</td><td>4 Threads</td></tr><tr><td>Memory</td><td>4.00 GB</td></tr><tr><td>Image size</td><td>24.5GB</td></tr></tbody></table>

{% code fullWidth="false" %}

```bash
# 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
```

{% endcode %}

## 2. Rembg

<table data-full-width="false"><thead><tr><th></th><th width="381.2000732421875"></th></tr></thead><tbody><tr><td>CPU</td><td>2 Threads</td></tr><tr><td>Memory</td><td>2.00 GB</td></tr><tr><td>Image size</td><td>9.1GB</td></tr></tbody></table>

{% code fullWidth="false" %}

```bash
# 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
```

{% endcode %}

## 3. Upscaler

<table data-full-width="false"><thead><tr><th></th><th width="381.2000732421875"></th></tr></thead><tbody><tr><td>CPU</td><td>2 Threads</td></tr><tr><td>Memory</td><td>2.00 GB</td></tr><tr><td>Image size</td><td>4.4GB</td></tr></tbody></table>

```bash
# 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

<table data-full-width="false"><thead><tr><th></th><th width="381.2000732421875"></th></tr></thead><tbody><tr><td>CPU</td><td>8 Threads</td></tr><tr><td>Memory</td><td>8.00 GB</td></tr><tr><td>Image size</td><td>5.6GB</td></tr></tbody></table>

```bash
# 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.


---

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