Force update config.yaml

checkpoints/main/config.yaml

@@ -0,0 +1,56 @@
+# Configuration for Neural Gaffer training script
+output_dir: "models/main/"
+seed: 42
+resume_from_checkpoint: "latest"
+
+batch_size: 32
+num_train_epochs: 2
+max_train_steps: 30000
+guidance_scale: 3.0
+conditioning_dropout_prob: 0.1
+checkpointing_steps: 5000
+checkpoints_total_limit: 3
+logging_dir: "logs/main"
+allow_tf32: false
+report_to: "wandb"
+mixed_precision: null
+enable_xformers_memory_efficient_attention: True
+use_gradient_checkpointing: True
+use_gradient_checkpointing_offload: False
+set_grads_to_none: True
+gradient_accumulation_steps: 1
+gradient_checkpointing: True
+learning_rate: 0.0001
+scale_lr: false
+lr_scheduler: "cosine"
+lr_warmup_steps: 0
+lr_num_cycles: 1
+lr_power: 1.0
+use_8bit_adam: True
+dataloader_num_workers: 1
+adam_beta1: 0.9
+adam_beta2: 0.999
+adam_weight_decay: 0.01
+adam_epsilon: 1e-08
+push_to_hub: false
+hub_token: null
+hub_model_id: null
+
+wan_path: "./models/Wan-AI/Wan2.1-T2V-1.3B"
+max_grad_norm: 0.1 # vanilla 0.1
+
+tiled: False
+mini_validation_steps: 5000
+validation_steps: 10000 # When to go to log_validation
+tracker_project_name: "RelightFormer"
+prompt_path: "./prompt.tensor.pth"
+
+# model
+rope: "PRoPE" # wan wan-no-frame prope gta cape so4
+resolution: 256
+
+# ablation
+ablation: False
+training_in_same_view: True
+max_view: 16
+channel: False