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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
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