How are large fine-tunes done? (somthing like Juggernaut XL or other poplular models)

Hi, I'm looking into fine-tuning a model on a large dataset (with more concepts and details than a LoRA training could manage) and can't seem to find any documentation of best practices. I'm talking about something like the training of Juggernaut XL or Realistic Vision. I know most of the popular fine-tuned models are tuned by companies rather than individuals, so the details are kept secret, but if anyone could provide any information or personal experience on the subject, that would be of great help!

Updade, as was suggested, bigASP does indeed explain the process rather well (beware, it's a NSFW model, as most of the fine-tunes...): https://civitai.com/models/502468/bigasp-v1