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SD2.x LoRA Fine-Tuning Guide Request for Local Windows Laptop
Hey everyone!
I need some help with fine-tuning Stable Diffusion 2.x using LoRA on my local Windows laptop for a specific project. I know there’s a lot of debate around SD 2.x in terms of quality and usability, but I need to work with it since it’s a requirement for my project. If anyone has a step-by-step guide or resources that are up-to-date and work well in 2024, I’d really appreciate it!
Here’s my setup:
OS: Windows 11
RAM: 24 GB
Processor: Intel Core i5 (13th gen)
GPU: NVIDIA RTX 3050 (6 GB VRAM)
My goal is to generate high-quality, full-body fashion portraits, so any advice on dataset preparation, prompt tuning, and model setup would be incredibly helpful. I’ll be working in VS Code..
I have dataset in following directory structure:
Dataset/
|
|---Images/
|
|---img001.jpg
|---img002.jpg
|---img003.jpg
....
|---img020.jpg
|---captions.csv
In captions csv, there are two columns: filename and caption. These are having the images name and their caption.
Thanks a ton in advance! Any help is appreciated 🙏