randomize.yml

# Note the script is brittle, no sanity checks are in place, inproper format will most likely cause errors

workflow: 
  workflows: xl, xl_lcm, sd1_5, sd1_5_lcm # lcm workflows needs to have '_lcm' in the string TODO poor solution, but simple
  workflow_weights: [60, 30, 5, 5] # workflow weighting TODO should be 0-100?, untested
  #workflow_weights: [50, 50, 50, 50]

output:
  images: 10 # number of images to create
  size_x_xl: 1024
  size_y_xl: 1024
  size_x_sd1_5: 512
  size_y_sd1_5: 512
  output_folder_name: randomizer
  add_time_and_date_suffix: True # add to folder name

checkpoints:

  # random = will choose a random checkpoint that does not have merge_chance of 0
  # merge_checkpoints, 3 = will merge checkpoints based on merge chance, add max num of checkpoints to merge at the end
  # default = will use default checkpoint
  mode: merge_checkpoints, 2

  default: xl\turbovisionxlSuperFastXLBasedOnNew_alphaV0101Bakedvae.safetensors
  checkpoints:
    - name: xl\thinkdiffusionxl_v10.safetensors
      type: xl, xl_lcm # what types of workflows are allowed to use this model
      merge_chance: 50 # chance of merging with another checkpoint, 0 never used, 100 always used

    - name: xl\7Of9Joybringer_v4Joybringer.safetensors
      type: xl, xl_lcm
      merge_chance: 50

    - name: xl\dreamshaperXL10_alpha2Xl10.safetensors
      type: xl, xl_lcm
      merge_chance: 50

    - name: xl\gleipnir_v20FP16.safetensors
      type: xl, xl_lcm
      merge_chance: 50

    - name: xl\hephaistosNextgenxlLCM_v10LCMBF16.safetensors
      type: xl_lcm
      merge_chance: 50

    - name: xl\turbovisionxlSuperFastXLBasedOnNew_alphaV0101Bakedvae.safetensors
      type: xl, xl_lcm
      merge_chance: 50

    - name: sd1.5\AnythingV5Ink_ink.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50

    - name: sd1.5\V08_V08.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50

    - name: sd1.5\aniverse_v15.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50

    - name: sd1.5\colorful_v31.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50

    - name: sd1.5\eleetModel_v20.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50

    - name: sd1.5\lyriel_v16.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50

    - name: sd1.5\perfectWorld_v6Baked.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50

    - name: sd1.5\perfectdeliberate_v5.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50

    - name: sd1.5\picxReal_10.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50

    - name: sd1.5\realisticVisionV51_v51VAE.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50  

    - name: sd1.5\revAnimated_v122EOL.safetensors
      type: sd1_5, sd1_5_lcm
      merge_chance: 50  
  
loras:
  loras:
    - name: xl\lcm\LCMTurboMix_LCM_Sampler.safetensors
      type: xl_lcm # what types of workflows are allowed to use this model
      chance: 100 # chance of being used, 0 never used, 100 always used

      # value, 1.0 = normal float
      # range, 0.5, 2.0 = range from min to max
      # normal_variate_range, 1.0, 0.5, 0.5, 2.0 = like range but the first value is more common, the second value increase deviation
      strength_model: value, 1.0
      strength_clip: value, 1.0

    - name: xl\add-detail-xl.safetensors
      type: xl, xl_lcm
      chance: 70
      strength_model: range, 0.5, 1.5
      strength_clip: range, 0.5, 1.5

    - name: xl\SDXL1.0_Essenz-series-by-AI_Characters_Style_BetterPhotography-v1.2-'Skynet'.safetensors
      type: xl, xl_lcm
      chance: 0
      strength_model: range, 0.5, 2.0
      strength_clip: range, 0.5, 2.0

    - name: xl\lcm\pytorch_lora_weights.safetensors
      type: xl_lcm
      chance: 0
      strength_model: range, 0.5, 1.0
      strength_clip: range, 0.5, 1.0

    - name: xl\xl_more_art-full_v1.safetensors
      type: xl, xl_lcm
      chance: 70
      strength_model: range, 0.1, 0.5
      strength_clip: range, 0.1, 0.5

    - name: sd1.5\Gloss_Tweaker_V2.safetensors
      type: sd1_5, sd1_5_lcm
      chance: 50
      strength_model: range, 0.5, 1.0
      strength_clip: range, 0.5, 1.0

    - name: sd1.5\VisionaryVerse-SD15.safetensors
      type: sd1_5, sd1_5_lcm
      chance: 50
      strength_model: range, 0.5, 1.0
      strength_clip: range, 0.5, 1.0

    - name: sd1.5\lcm\lcm-lora-sdv1-5_weights.safetensors
      type: sd1_5_lcm
      chance: 100
      strength_model: value, 1.0
      strength_clip: value, 1.0

    - name: sd1.5\more_details.safetensors
      type: sd1_5, sd1_5_lcm
      chance: 50
      strength_model: range, 0.5, 1.5
      strength_clip: range, 0.5, 1.5
   
positive_prompt:
  # TODO prompt should be one sentence for now, use random_tokens to add tokens
  prompt: monkey typing on a typewriter
  #prompt: cat
  use_feelinglucky: False # using https://github.com/adieyal/dynamicprompts, using the lexica.art API to create random prompts
                         # the prompt will be used as a search string, so it should probably not be overly complicated
                         # Seems you get timeout from server if you use the API too frequent, I tried to inject randomeness into
                         # the search string, but still get timeouts
  magicprompt:
    use: True 
    device: 0  # Defines the device (*e.g.*, `"cpu"`, `"cuda:1"`, `"mps"`, or a GPU ordinal rank like `1`) on which the model should be loaded.
    model: Gustavosta/MagicPrompt-Stable-Diffusion # https://github.com/adieyal/sd-dynamic-prompts/blob/main/config/magicprompt_models.txt
  random_token_chance: 0 # chance 0-100 per token to be added to prompt
  random_tokens: > 
    highly detailed, soft skin, soft lighting, photorealistic, expressive, high resolution, digitally enhanced, 8k, studio lighting,
    high contrast, chiaroscuro lighting technique, high quality, cinematic, 200mm 1.4f macro shot, halation, morning sunlight,
    smooth light, shot on kodak portra 200, professional photo, surreal, dreamy, Vogue fashion photography, angled shot, midday warm,
    Nikon D850 105mm, Chiaroscuro, Volumetric lighting, Realistic, By Steve Henderson, by Anna Rose Bain, by Emerico Emre Toth,
    by Guillaume Seignac

  # off
  # replace_questionmark = eg (masterpiece:?) -> (masterpiece:1.2) TODO will probably work poorly
  # all = eg "masterpiece" -> "(masterpiece:1.2)" # will probably work poorly if tokens already weighted, not tested yet
  token_weighting_mode: all
  
  # value = normal float
  # range, 0.1, 2.0 = range from min to max
  # normal_variate_range, 1.0, 0.5, 0.1, 2.0 = like range but the first value is more common, the second value increase deviation
  primary_prompt_weight_values: range, 1.0, 2.0 # higher value = higher chance of getting what you prompted for
  token_weighting_values: range, 0.1, 1.5

negative_prompt:
  prompt: worst quality, low quality, normal quality
  random_token_chance: 10 # chance 0-100 per token to be added to prompt
  random_tokens: > 
    ugly, duplicate, morbid, mutilated, out of frame, extra fingers, mutated hands, poorly drawn hands, poorly drawn face, mutation, 
    deformed, blurry, bad anatomy, bad proportions, extra limbs, cloned face, disfigured, out of frame, ugly, extra limbs, bad anatomy, 
    gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, mutated hands, fused fingers, 
    too many fingers, long neck, blurry, depth of field, nsfw
  token_weighting_mode: all
  token_weighting_values: range, 0.1, 1.5

embeddings:
  - name: xl\pos\ziprealism.safetensors
    type: xl, xl_lcm # what types of workflows are allowed to use this model
    chance: 50 # chance of being used, 0 never used, 100 always used
    alignment: positive # [positive, negative, both]

    # value = normal float
    # range, 0.1, 2.0 = range from min to max
    # normal_variate_range, 1.0, 0.5, 0.1, 2.0 = like range but the first value is more common, the second value increase deviation
    values: range, 0.1, 1.5

  - name: xl\neg\ac_neg1.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: negative
    values: range, 0.1, 1.5

  - name: xl\neg\ac_neg2.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: negative
    values: range, 0.1, 1.5

  - name: xl\neg\zip2d_neg.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: negative
    values: range, 0.1, 1.5

  - name: xl\pos\SK_3DRENDER.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: positive
    values: range, 0.1, 1.5

  - name: xl\pos\SK_ANALOGFILM.safetensors
    type: xl, xl_lcm 
    chance: 0
    alignment: positive 
    values: range, 0.1, 1.5

  - name: xl\pos\SK_ANIME.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: positive 
    values: range, 0.1, 1.5

  - name: xl\pos\SK_CINEMATIC.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: positive 
    values: range, 0.1, 1.5

  - name: xl\pos\SK_COMIC.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: positive 
    values: range, 0.1, 1.5

  - name: xl\pos\SK_Cyberpunk.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: positive 
    values: range, 0.1, 1.5

  - name: xl\pos\SK_DIGITALART.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: positive 
    values: range, 0.1, 1.5

  - name: xl\pos\SK_Fantasy.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: positive 
    values: range, 0.1, 1.5

  - name: xl\pos\SK_Ghibli.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: positive 
    values: range, 0.1, 1.5

  - name: xl\pos\SK_VECTORART.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: positive 
    values: range, 0.1, 0.5

  - name: xl\pos\ZIP2D.safetensors
    type: xl, xl_lcm 
    chance: 50 
    alignment: positive 
    values: range, 0.1, 1.5

  - name: sd1.5\neg\BadDream.pt
    type: sd1_5, sd1_5_lcm
    chance: 50 
    alignment: negative
    values: range, 0.1, 1.5

  - name: sd1.5\neg\EasyNegativeV2.safetensors
    type: sd1_5, sd1_5_lcm
    chance: 50 
    alignment: negative
    values: range, 0.1, 1.5

  - name: sd1.5\neg\Unspeakable-Horrors-Composition-4v.pt
    type: sd1_5, sd1_5_lcm
    chance: 50 
    alignment: negative
    values: range, 0.1, 1.5

  - name: sd1.5\neg\badhandv4.pt
    type: sd1_5, sd1_5_lcm
    chance: 50 
    alignment: negative
    values: range, 0.1, 1.5

  - name: sd1.5\neg\epiCPhoto-neg.pt
    type: sd1_5, sd1_5_lcm
    chance: 50 
    alignment: negative
    values: range, 0.1, 1.5

  - name: sd1.5\pos\epiCPhoto.pt
    type: sd1_5, sd1_5_lcm
    chance: 50 
    alignment: positive
    values: range, 0.1, 1.5

# standard, 1.3, 1.4, 0.9, 0.2, 0.5 # b1, b2, s1, s2, off_chance # 1 always off, 0 always on
# range, 0.5, 3.0, 0.5, 3.0, 0.2, 2.0, 0.1, 0.2, 0.5 # [min, max] for b1, b2, s1, s2 and then off_chance
# normal_variate_range, 1.3, 0.5, 0.5, 3.0, 1.4, 0.7, 0.5, 3.0, 0.9, 0.4, 0.2, 2.0, 0.2, 0.1, 0.1, 0.2, 0.5
# [mu, sigma, min, max] and then off_chance mu: will lean towards this number, sigma: higher number, higher deviation
# TODO the format looks awful
freeu:
  values: range, 0.6, 1.3, 0.7, 1.4, 0.4, 0.9, 0.1, 0.2, 0.5

#dynamic_thresholding: # https://github.com/mcmonkeyprojects/sd-dynamic-thresholding
#  chance: 0 # 0 off, 100 always on
#  mimic_scale: range, 1, 100
#  threshold_percentile: range, 0.1, 1.0

automaticcfg: # https://github.com/Extraltodeus/ComfyUI-AutomaticCFG
# really good results from this one
  chance: 100  # 0 off, 100 always on


# if the value is -1 the node will not be used
# value, -2 
# range, -10, -1 # min to max
# normal_variate_range, -2, 0.5, -1, -10 [mu, sigma, min, max] mu: will lean towards this number, sigma: higher number, higher deviation
clipsetlastlayer:
  values: range, -5, -1

# shapes and gradients
# TODO most settings will be set to random in the script due to the large amounts of settings, might change in the future
#shapes:
#  blend_with_shape: True
#  chance: 50
#  mode_weights: [50, 50, 10, 10, 50] # CR Draw Shape, CR Random Shape Pattern, CR Color Gradient, CR Radial Gradient, Shape from K-sampler
#  denoise: range, 0.4, 0.9 # used by the k-sampler after blending the latents, will override normal denoise settings below


# ksampler

# 1 = seed
# random = random seed
seed:
  values: random

# value, 20
# range, 10, 30
# normal_variate_range, 15, 7, 10, 30 [mu, sigma, min, max] mu: will lean towards this number, sigma: higher number, higher deviation
steps:
  values: range, 18, 30

# value, 1
# range, 2, 4
# normal_variate_range, 7, 3, 2, 10 [mu, sigma, min, max] mu: will lean towards this number, sigma: higher number, higher deviation
cfg:
  values: range, 1.5, 10 # 1.5, 6

# value, 1
# range, 0.8, 1
# normal_variate_range, 1, 0.5, 0.8, 1 [mu, sigma, min, max] mu: will lean towards this number, sigma: higher number, higher deviation
denoise:
  values: value, 1

sampler: # lcm workflow will always use lcm
  mode: random # random, default   
  default_sampler: euler
  lcm_sampler: # will always override steps and cfg settings
    steps: range, 15, 30
    cfg: range, 2, 4 #2,5
  samplers:
  - name: euler
    weight: 50 # larger number = higher chance of being choosen
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: euler_ancestral
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: heun
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: heunpp2
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpm_adaptive
    weight: 0
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpm_2
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpmpp_2s_ancestral
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpm_2_ancestral
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: ddpm
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: uni_pc
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpmpp_sde
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: uni_pc_bh2
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpmpp_sde_gpu
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: ddim
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpmpp_2m
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpmpp_2m_sde
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpmpp_2m_sde_gpu
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpm_fast
    weight: 0
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: lms
    weight: 0
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

  - name: dpmpp_3m_sde_gpu
    weight: 50
    override_steps_and_cfg: False
    steps: range, 18, 30
    cfg: range, 2, 7

# random
# scheduler name eg 'karras'
scheduler:
  values: random
  schedulers: ["karras", "exponential"]
  # removed "normal", "ddim_uniform", "sgm_uniform", "simple"