limitedpalette.yaml

prompts_file: "./examples/limitedpalette.txt"

pretrained_model:
  name_or_path: "I:/models/Stable-diffusion/V1.5/v1-5-pruned.safetensors" # you can also use .ckpt or .safetensors models
  v2:  false # true if model is v2.x
  v_pred: false # true if model uses v-prediction

network:
  type: "c3lier" # or "c3lier"
  rank: 8
  alpha: 4
  training_method: "full" # selfattn, xattn, noxattn, or innoxattn

train:
  precision: "bfloat16"
  noise_scheduler: "ddim" # or "ddpm", "lms", "euler_a"
  iterations: 250
  lr: 4e-4
  optimizer: "AdamW"
  lr_scheduler: "constant"
  max_denoising_steps: 50

save:
  name: "limitedpalette"
  path: "./LECO_output/limitedpalette"
  per_steps: 250
  precision: "bfloat16"

logging:
  use_wandb: false
  verbose: false

other:
  use_xformers: true