this post was submitted on 13 Oct 2024
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StableDiffusion

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/r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and...

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simpletuner v1.1.2, now with masked loss training, new & experimental LyCORIS prior loss preservation technique (old.reddit.com)
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This is an automated archive made by the Lemmit Bot.

The original was posted on /r/stablediffusion by /u/terminusresearchorg on 2024-10-13 04:43:18+00:00.

the release:

New to this release include goodies like loss masking (as in OneTrainer or Kohya's tools) and a new regularisation technique described in the Dreambooth guide that achieves something like this.

  • no lora = the base Flux model
  • no_reg = typical Flux LoRA training
  • prior_reg_self = setting the training data as is_regularisation_data=true
  • prior_reg_ext = externally-obtained regularisation images (but not super high quality)

this is the recommended method ^

  • prior_reg_self-empty = no captions on the training data, being used as the regularisation dataset

provided by dxqbYD

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