Fizgig 8.9.0: Multiple GPUs for previews, shared training, and pod combos

Key points

• Each GPU trains its own copy of the LoRA on its part of the images, and they merge every 3 epochs, so you get one LoRA that learned from every image.1
• Also: Krea 2 trains with about 2 GB of system RAM instead of 25, and the Look Filter finds furry, anime and drawn faces (thanks @Murf-Code).1
• Free and open source: GitHub · Release notes · Helpers guide1
• Update Fizgig on every computer you want to use as a helper, and restart your pods.1

Sources (1)

• [1]Fizgig 8.9.0: Multiple GPUs for previews, shared training, and pod combos
  r/StableDiffusion (top, day) · Oct 22, 10:45 PM

  It lets your other GPUs work for your run: a second card in your PC, a laptop, another PC on your network, or a RunPod / Vast.ai pod.

  Each GPU trains its own copy of the LoRA on its part of the images, and they merge every 3 epochs, so you get one LoRA that learned from every image.

Extractive summary: sentences quoted from the sources.