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'Alignment' turn humans to robots (concept replacement example)

41
309
1
Verified:
SafeTensor
Type
Checkpoint Trained
Stats
309
Reviews
Published
Mar 29, 2023
Base Model
SD 1.5
Training
Steps: 2,000
Epochs: 1
Trigger Words
human
Hash
AutoV2
1A58400F79
Supporter Badge May 2023
ntc's Avatar
ntc

Use the trigger word 'human'.

'Alignment' is an example of using conceptmod to replace the 'human' concept with a 'robot' concept. It has been trained for 2000 steps. It sometimes replaces 'woman'/'man' without the 'human' trigger, but not always.

Trained using:
https://github.com/ntc-ai/conceptmod

Training does not require a dataset, only words.

Beware merging this mod. Weights are changed significantly as all humans are now machines.

Trained on:

"#:0.4|human=robot:0.8|robot%human:-0.1"

  • '#:0.4' means resist changing the empty (unconditional) prompt ''.

  • 'human=robot:0.8' - pull humans to robots

  • 'robot%human:-0.1' - make robots and humans closer together based on orthogonality.

  • Technique based on https://github.com/rohitgandikota/erasing

  • Model based on criarcys-fantasy-to-experience