# === Model & Data Settings ===
model: "SD3"
resolution: 768
lambda_func: v
optimized_reg_weight: SD3_loss_v_norm_div2k_squared.npy
regularizer_weight: 0.5
likelihood_weight_mode: reg_weight
likelihood_steps: 15
early_stopping: 1.e-4
epochs: 1
guidance: 2
quantize: False
use_tiny_ae: True
negative_prompt: ""
reg-shift: 0.0

# === Optimization Settings ===
optimizer: 
  name: SGD
  kwargs:
    lr: 1 
optimizer_dataterm: 
  name: SGD
  kwargs:
    lr: 0.1

# === Sampling & Misc ===
t_sampling: descending
n_steps: 50
inv_alpha: 1-t
ts_min: 0.18
projection: False
seed: 42

# === Experiment-Specific Settings ===
prompt: a high quality photo of a face
degradation: 
  name: MotionBlur
  kwargs:
    kernel_size: 61
    noise_std: 0.01
    img_size: 768
likelihood_weight: 1