# Dataset & LoRA Training Pipeline for Room Emptying / Object Removal (Image-to-Image)

> Source: <https://discuss.huggingface.co/t/dataset-lora-training-pipeline-for-room-emptying-object-removal-image-to-image/180659#post_1>
> Published: 2026-09-21 06:51:09+00:00

**Hi Community,**

I am working on a project aimed at **emptying indoor spaces** (removing all furniture/decor) as well as **removing specific individual objects** from an image using provided object masks.

I plan to fine-tune a model (or train a LoRA / ControlNet adapter), but I need guidance on dataset sources and the ideal training architecture.

Here are my specific questions:

**Dataset Sources for Empty Room Pairs:**

Where can I find datasets containing paired images of **[Furnished Room ↔ Empty Room]** suitable for training an image-to-image or diffusion pipeline?

Are there existing synthetic or 3D-rendered datasets (e.g., InteriorNet, Structured3D, Matterport3D) recommended for this specific paired generation task?

**Single Object Removal & Inpainting:**

For the use case of removing a single specific object where I already have the **object mask**, what is the recommended architecture?

Is fine-tuning a LoRA on an Inpainting model (like SDXL Inpainting or Flux Inpainting) using mask-guided conditioning preferable over training a custom ControlNet?

Any pointers to relevant papers, datasets, or codebases would be greatly appreciated!

Thanks!