Upload rope_migration.yml

rope-12/rope_migration.yml

@@ -0,0 +1,92 @@
+model:
+  checkpoint_path: "./models/aura_flow_0.3.bnb_nf4.safetensors"
+  pretrained_model_name_or_path: fal/AuraFlow-v0.3
+
+  dtype: bfloat16
+
+  denoiser:
+    use_flash_attn: true
+
+    use_rope: True
+    rope_theta: 10000
+    rope_dim_sizes: [32, 112, 112]
+
+  noise_prediction_loss: true
+  migration_loss: true
+  # prior_preservation_loss: true
+
+peft:
+  type: lora
+  rank: 4
+  alpha: 1.0
+  dropout: 0.0
+
+  dtype: bfloat16
+
+  # include_keys: [".attn.", ".mlpC.", ".mlpX.", ".mlp.", ".modC.", ".modCX.", ".modX."]
+  include_keys:
+    - regex: .*\.attn\.w2[qkvo] # only latent path
+    - regex: .*\.mlp[X]?\. # only latent or (cond+latent) path
+    - regex: .*single_layers\.\d+\.attn\.w1[qkvo] # (cond+latent) path
+
+  exclude_keys:
+    - "text_encoder"
+    - "vae"
+    - "t_embedder"
+    - "final_linear"
+    - regex: \.mod[CX]{1,2} # exclude modulation layers (modC, modCX, modX)
+
+dataset:
+  folder: "data/pexels-1k-random"
+  num_repeats: 2
+  batch_size: 2
+
+  bucket_base_size: 1024
+  step: 128
+  min_size: 384
+  do_upscale: false
+
+  caption_processors: []
+
+optimizer:
+  name: "schedulefree.RAdamScheduleFree"
+  # name: "bitsandbytes.optim.AdamW8bit"
+  args:
+    lr: 0.005
+
+scheduler:
+  # name: "torch.optim.lr_scheduler.ConstantLR"
+  # args: {}
+
+tracker:
+  project_name: "auraflow-rope-1"
+  loggers:
+    - wandb
+
+saving:
+  strategy:
+    per_epochs: 1
+    per_steps: null
+    save_last: true
+
+  callbacks:
+    - type: "hf_hub" # or "hf_hub" to push to hub
+      name: "rope-12"
+      save_dir: "./output/rope-12"
+
+      hub_id: "p1atdev/afv03-lora"
+      dir_in_repo: "rope-12"
+
+seed: 42
+num_train_epochs: 20
+
+trainer:
+  # debug_mode: "1step"
+
+  gradient_checkpointing: true
+
+  torch_compile: true
+  torch_compile_args:
+    mode: max-autotune
+    fullgraph: true
+  fp32_matmul_precision: "medium"