> ## Documentation Index
> Fetch the complete documentation index at: https://docs.hivenet.com/llms.txt
> Use this file to discover all available pages before exploring further.

# How to choose the right Compute configuration for image-generation tools

> Match your workload to the right GPU for best results

## **What are you trying to run?**

Here are some common tools and the GPU specs they usually need:

| Tool                     | Recommended GPU       | Notes                               |
| :----------------------- | :-------------------- | :---------------------------------- |
| Fooocus                  | 1x RTX 4090           | Smoothest experience with 24GB VRAM |
| Stable Diffusion         | 1x RTX 3090 or better | Needs \~16GB VRAM+ for full models  |
| InvokeAI / AUTOMATIC1111 | 2x RTX 4090           | For faster batch processing         |
| ComfyUI                  | 1x RTX 4090 or higher | Works well with large workflows     |

<Tip>
  Choose the lowest configuration that runs your model comfortably. You can always scale up later.
</Tip>

## What if you don’t know what to pick?

Start small and test.

* Use 1x RTX 4090 to get going
* Monitor VRAM usage using `nvidia-smi`
* If you hit limits or run into crashes, consider upgrading to 2x

## How to change configuration later

You can’t resize an instance directly, but you can:

1. Stop or terminate the current instance
2. Spin up a new one with a higher configuration
3. Reinstall your app or transfer your data if needed

<Info>
  Save your model/data files before terminating an instance!
</Info>

## Want to go faster?

More GPUs = more parallelism. Use 2x configs if you:

* Run large prompts or batch generations
* Train or fine-tune models
* Need lower latency for interactive work