trainscripts/textsliders/data/config.yaml

prompts_file: "trainscripts/textsliders/data/prompts.yaml"
pretrained_model:
  name_or_path: "CompVis/stable-diffusion-v1-4" # 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" or "lierla"
  rank: 4
  alpha: 1.0
  training_method: "noxattn"
train:
  precision: "bfloat16"
  noise_scheduler: "ddim" # or "ddpm", "lms", "euler_a"
  iterations: 1000
  lr: 0.0002
  optimizer: "AdamW"
  lr_scheduler: "constant"
  max_denoising_steps: 50
save:
  name: "temp"
  path: "./models"
  per_steps: 500
  precision: "bfloat16"
logging:
  use_wandb: false
  verbose: false
other:
  use_xformers: true