Upload config.yml

shortcut-09/config.yml

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+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_shortcut: true
+
+  flow_matching_ratio: 0.75
+  shortcut_max_steps: 128
+
+  timestep_sampling_type: "sigmoid"
+
+peft:
+  type: lora
+  rank: 4
+  alpha: 4.0
+  dropout: 0.0
+
+  dtype: bfloat16
+
+  # include the AdaLN-Zero modulation layers
+  include_keys: [
+      ".attn.",
+      ".mlp.",
+      ".mlpC.",
+      ".mlpX.",
+      #
+      ".modC.",
+      ".modX.",
+      ".modCX.",
+    ]
+  exclude_keys: ["text_encoder", "vae", "t_embedder", "final_linear", ".modF."]
+
+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"
+  args:
+    lr: 0.0005
+
+tracker:
+  project_name: "auraflow-shortcut-1"
+  loggers:
+    - wandb
+
+saving:
+  strategy:
+    per_epochs: 1
+    per_steps: null
+    save_last: true
+
+  callbacks:
+    - type: "hf_hub"
+      # - type: "safetensors"
+      name: "shortcut-09"
+      save_dir: "./output/shortcut-09"
+
+      hub_id: "p1atdev/afv03-lora"
+      dir_in_repo: "shortcut-09"
+
+preview:
+  strategy:
+    per_epochs: 1
+    per_steps: 100
+
+  callbacks:
+    # - type: "local"
+    #   save_dir: "./output/shortcut-08/preview"
+
+    - type: "discord"
+      url: "masked"
+
+  data:
+    path: "./projects/shortcut/preview.yml"
+
+seed: 42
+num_train_epochs: 20
+
+trainer:
+  # debug_mode: "1step"
+
+  gradient_checkpointing: true
+  gradient_accumulation_steps: 16
+
+  torch_compile: true
+  torch_compile_args:
+    mode: max-autotune
+    fullgraph: true
+
+  fp32_matmul_precision: "medium"