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Chapter 01: Common content across models

General discovery. Theories, procedures, practices etc. However not model specific.

  • CFG-STEP scan: cfg_step.md
  • Prior scan: prior.md
  • Any theory to compare a model? similarity_cfg1.md
  • Prompt dystopia: prompt.md
  • My thought of Aesthetic Gradients, which is... interpolation with a confusing scoring: ag.md
  • My procedure for making arts: my_procedure.md
  • Materials on aesthetic analysis and philosophy stuffs (Human value / aesthics / ambitious AI etc.): aesthetic.md
  • Extended use cases on AI art drawings: controlnet.md
  • "euler" is actually "momentum sampler" / "algorithm 2" : k_euler.md
  • Findings on "Hi-Res" fix: hires_fix.md
  • Findings on "Dynamic CFG / CFG rescale": dynamic_cfg.md
  • Findings on "Aspect Ratio Bucketing" (moved from CH98): arb.md
  • Some record about "LyCORIS": lycoris.md
  • Findings on "FreeU": freeu.md
  • Findings on CFG along with "PAG" and "CHG": cfg_pag_chg.md
  • Findings on precision "NF4": nf4.md
  • Quick Survey on the vpred patch (which killed WD1.5 and most SD2.1 models): vpred.md

This session is focus on model merging, which an extended method on model ensembling.