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config.yaml

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+dtype: bfloat16
+flux_path: black-forest-labs/FLUX.1-dev
+model:
+  independent_condition: false
+train:
+  accumulate_grad_batches: 1
+  condition_type: subject
+  dataloader_workers: 5
+  dataset:
+    condition_size:
+    - 512
+    - 512
+    drop_image_prob: 0.1
+    drop_text_prob: 0.1
+    image_size: 512
+    padding: 8
+    target_size:
+    - 512
+    - 512
+    type: subject
+  gradient_checkpointing: false
+  max_steps: -1
+  optimizer:
+    params:
+      lr: 1
+      safeguard_warmup: true
+      use_bias_correction: true
+      weight_decay: 0.01
+    type: Prodigy
+  rotation_adapter_config:
+    num_rotations: 4
+    r: 4
+    target_modules: (.*x_embedder|.*(?<!single_)transformer_blocks\.[0-9]+\.norm1\.linear|.*(?<!single_)transformer_blocks\.[0-9]+\.attn\.to_k|.*(?<!single_)transformer_blocks\.[0-9]+\.attn\.to_q|.*(?<!single_)transformer_blocks\.[0-9]+\.attn\.to_v|.*(?<!single_)transformer_blocks\.[0-9]+\.attn\.to_out\.0|.*(?<!single_)transformer_blocks\.[0-9]+\.ff\.net\.2|.*single_transformer_blocks\.[0-9]+\.norm\.linear|.*single_transformer_blocks\.[0-9]+\.proj_mlp|.*single_transformer_blocks\.[0-9]+\.proj_out|.*single_transformer_blocks\.[0-9]+\.attn.to_k|.*single_transformer_blocks\.[0-9]+\.attn.to_q|.*single_transformer_blocks\.[0-9]+\.attn.to_v|.*single_transformer_blocks\.[0-9]+\.attn.to_out)
+  sample_interval: 100
+  save_interval: 1000
+  save_path: runs
+  wandb:
+    project: OminiControRotation