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Check out the documentation for more information.

Stable diffusion utils

Currently has 2 modules: Tag explorer & CFG Scheduler.

Usage

This script needs you to put --disable-safe-unpickle argument when starting your webui. Use at your own risk.
(I don't know how to pass the safety check and it always throws global 'torch/DoubleStorage' is forbidden when I try to load the GPT model with safe-unpickle.)

  • Put magicprompt_trunc20k_corpus_safe_underscore_160k-final.pt under root of sd web-ui.
  • Put tag-explorer.py to scripts/.
  • Choose Betairylia's utils under Script section of your webui.

Tag explorer

A MagicPrompt (GPT-2) model finetuned on Danbooru2021 corpus (comma connected tags, shuffled, tags with underscores; so tags are provided as long_hair etc.) with rating:s and score > 10.
Corpus preview:

cowboy_shot, blunt_bangs, black_shorts, kurokami_(kurokaminohito), dog_tags, cleavage, bangs, black_hair, bracelet, eyebrows_visible_through_hair, head_tilt, thighhighs, short_shorts, collarbone, bare_shoulders, very_long_hair, original, shorts, swimsuit, o-ring_top, brown_eyes, kurono_mika, black_bikini, commentary_request, medium_breasts, floating_hair, sideboob, highleg_bikini, o-ring_bikini, groin, highres, hair_between_eyes, bikini, black_legwear, long_hair, bikini_under_clothes, thigh_strap, choker, open_mouth, jewelry, uneven_legwear, looking_at_viewer, asymmetrical_legwear, highleg, indoors, navel, solo, breasts, 1girl, standing, o-ring

By default it runs on the same device as your sd model. It will take 3~4 GiB vRAM.
You can change device in tag-explorer.py to desired one, e.g., cpu or cuda:1 etc.

CFG Scheduler

Currently supports Cosine / Polynomial scheduling during DDIM sampling.
Other samplers won't work.

Inv means the scheduler will change the CFG scale to max at the beginning and min at the end.
steepness controls the curve of polynomial scheduler; higher = more drastic change near the end and vice versa:

CFG(t)=CFGmin+(CFGmaxβˆ’CFGmin)β‹…texp(steepness)\text{CFG}(t) = \text{CFG}_\text{min} + (\text{CFG}_\text{max} - \text{CFG}_\text{min}) \cdot t^{\text{exp}(\text{steepness})}

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