AI Interior Design 2026: RoomGPT (11k Stars) + ControlNet - Redesign Your Room From a Photo, Free
Interior design apps charge $20+/month for AI room redesigns. RoomGPT and ControlNet do the same thing locally and free - here is how to get realistic results instead of weird AI mush.
## The short answer
For free AI interior design in 2026, **RoomGPT** (10,665 stars) is the easiest entry: upload a photo of your room, pick a style (modern, minimal, Japanese, etc.), and get a redesigned version in minutes. For more control, **ControlNet** (34,030 stars) with Stable Diffusion lets you keep the exact room layout while changing materials and furniture.
## RoomGPT - one click, zero setup
- Web app (roomGPT.io) or self-host from the repo.
- Upload room photo -> choose style -> get redesign. That is the whole flow.
- Uses a depth-conditioned pipeline under the hood.
- Limitations: output resolution is modest; very cluttered or oddly shaped rooms confuse it.
## ControlNet - the pro path
ControlNet (with Stable Diffusion) preserves the room's geometry (walls, windows, perspective) while letting you restyle:
1. Install ComfyUI or AUTOMATIC1111 (see our image gen guides).
2. Load the depth or canny ControlNet model.
3. Prompt: "modern scandinavian living room, oak floor, large sofa, warm lighting".
4. Adjust denoise strength: 0.5-0.7 keeps the room structure, 0.8+ changes more.
```bash
# example with ComfyUI workflow: depth ControlNet + SDXL
# input: your room photo, output: restyled room with same layout
```
## Practical tips for realistic results
- **Clean photo first**: good lighting, no people, wide angle.
- **Keep denoise low** for structural realism (0.5-0.6).
- **Use negative prompts**: "blurry, distorted furniture, extra walls".
- **Iterate**: generate 6-8 variants, pick one, refine.
## FAQ
**Is RoomGPT really free?** The open-source version is free to self-host; roomGPT.io has free usage tiers.
**Can I use these commercially?** Yes for most cases - check ControlNet/Stable Diffusion model licenses (SDXL is permissive; some models have restrictions).
**Do I need a powerful GPU?** RoomGPT runs on their servers; local ControlNet needs ~8-12GB VRAM.
## Related
- [ControlNet Tutorial 2026](/post/controlnet-tutorial-2026)
- [Img2Img Tutorial 2026](/post/img2img-tutorial-2026)
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