Question 1

How much does it cost to run RoomGPT with the Replicate API?

Accepted Answer

Costs depend on Replicate's pricing per prediction for the ControlNet model, which can add up with frequent use. The README suggests setting up rate limiting via UpStash to manage expenses, but you'll need to monitor usage closely.

Question 2

Can I use RoomGPT for commercial purposes like a business?

Accepted Answer

Yes, the open-source version is MIT licensed, so you can modify and deploy it commercially. However, you're responsible for API costs from Replicate and Bytescale, and must ensure compliance with their terms of service.

Question 3

How do I change the AI model in RoomGPT to use something other than ControlNet?

Accepted Answer

You'd need to modify the Next.js API routes to call a different Replicate model or integrate another ML service, as the code is tightly coupled to ControlNet. This requires understanding the Replicate API and updating prompts accordingly.

Question 4

RoomGPT vs. InteriorAI: which is better for DIY home redesign?

Accepted Answer

RoomGPT is open-source and self-hostable, ideal for developers wanting control or learning, while InteriorAI is a SaaS with more features out-of-the-box. Choose RoomGPT for customization, InteriorAI for ease of use.

Question 5

How to deploy RoomGPT on AWS instead of Vercel?

Accepted Answer

Since it's a Next.js app, you can containerize it or use AWS Amplify by adapting the deployment config. The README focuses on Vercel, so you'll need to handle environment variables and serverless functions manually for AWS.

Question 6

What image formats and sizes does RoomGPT support for uploads?

Accepted Answer

The README doesn't specify, but it likely handles common web formats like JPEG and PNG via Bytescale. Check the code for upload limits or refer to Bytescale's documentation for supported file types.

Question 7

Is there a way to process multiple room images at once in RoomGPT?

Accepted Answer

No, the current web interface only supports single image uploads. For batch processing, you'd need to modify the API to loop through files or build a separate script, which isn't covered in the documentation.

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