experiment: project_name: relighting_indoors output_dir: train_r1_diff logging_dir: logs report_to: tensorboard model: pretrained_model_name_or_path: stable-diffusion-2-1 revision: null variant: null tokenizer_name: null hf_repo_id: Miayan/project hf_version: null pretrain_unet_path: scribblelight_controlnet/checkpoint-10000 resume_from_checkpoint: latest enable_ambient_cond: true light_encoder: cross_dim: 768 K: 4 Bi: 4 Bc: 4 Ba: 4 albedo_estimator: enabled: false version: v2 load_stage: 3 frozen_components: - ord_model - iid_model - col_model trainable_components: [] data: dataset_cache_dir: ./.hf_cache data_hf_repo_id: Miayan/physical-relighting-dataset data_split: test resolution: 512 dataloader_num_workers: 0 condition_mode: v1 relighting_impl: ori use_ambient_in_controlnet: false use_color_on_lightmap: true colors: - - 255 - 255 - 255 - - 255 - 0 - 0 - - 0 - 255 - 0 - - 0 - 0 - 255 - - 255 - 255 - 0 - - 255 - 165 - 0 - - 128 - 0 - 128 - - 255 - 192 - 203 - - 0 - 255 - 255 - - 255 - 0 - 255 intensities: - 0.0 - 0.2 - 0.4 - 0.6 - 0.8 - 1.0 training: batch_size: 1 num_epochs: 20 max_train_steps: 100000 max_train_samples: null seed: 42 mixed_precision: 'no' allow_tf32: true gradient_accumulation_steps: 1 checkpointing_steps: 5000 checkpoints_total_limit: 4 learning_rate: 5.0e-06 scale_lr: false lr_scheduler: constant lr_warmup_steps: 500 adam_beta1: 0.9 adam_beta2: 0.999 adam_weight_decay: 0.01 adam_epsilon: 1.0e-08 max_grad_norm: 1.0 use_8bit_adam: false set_grads_to_none: false losses: phys_loss: enabled: false weight: 1.0 latent_loss: enabled: true weight: 1.0 image_loss: enabled: false weight: 1.0 sup_structure_loss: enabled: false weight: 1.0 enable_decay: true start_weight: 1.0 end_weight: 0.1 decay_steps: 5000 self_recon_loss: enabled: false mode: teacher weight: 2.0 affine_alignment: true epsilon: 0.05 staging: switch_epoch: 5 stage1_weight: 2.0 stage2_weight: 0.5 consistency_loss: enabled: false weight: 1.0