I’m looking for an experienced AI/ML developer who can help me train a custom image generation model for interior design renovations. The goal is to teach the AI to understand a specific renovation style and generate realistic “after” images based on “before” room photos.
What I Already Have:
A large, high-quality dataset with hundreds of paired before-and-after interior images (organized and labeled).
The data includes various room types and styles, with consistent visual structure across each pair.
I’ve already tried using LoRA with train_lora.py and RunPod, but kept running into persistent errors. So I’m open to whatever approach works best — doesn’t have to be LoRA or even Diffusers.
The model has been trained with a certain amount of knowledge, but using a model that has been further fine-tuned with actual data will likely produce more natural results.
Don’t have IG, but happy to hear more about your problem. Maybe there are some pointers I can give to save you some effort and money. You can get in touch from my site, here: https://demajh.com
I can build any model you need, however, my bots are second generation deterministic models, which are far superior to the noisy models that are commonly labeled as AI. It’s important to note that the process takes time. I don’t use social media so I won’t contact you on Instagram, as I prefer to focus on results, instead of noise.
What I Already Have: