Upload config.yml

pvc-2/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
+
+peft:
+  type: lora
+  rank: 16
+  alpha: 1.0
+  dropout: 0.0
+
+  dtype: bfloat16
+
+  include_keys: [".attn.", ".mlp.", ".modC.", ".modC.", ".modX."]
+  exclude_keys: ["text_encoder", "vae", "t_embedder", "final_linear"]
+
+dataset:
+  folder: "data/pvc"
+  num_repeats: 2
+  batch_size: 2
+
+  bucket_base_size: 1024
+  step: 128
+  min_size: 384
+  do_upscale: true
+
+  caption_processors:
+    - type: shuffle
+      split_separator: ","
+
+optimizer:
+  name: "schedulefree.RAdamScheduleFree"
+  # name: "bitsandbytes.optim.AdamW8bit"
+  args:
+    lr: 0.001
+
+scheduler:
+  # name: "torch.optim.lr_scheduler.ConstantLR"
+  # args: {}
+
+tracker:
+  project_name: "auraflow-pvc-1"
+  loggers:
+    - wandb
+
+saving:
+  strategy:
+    per_epochs: 0.25
+    per_steps: null
+    save_last: true
+
+  callbacks:
+    - type: "hf_hub" # or "hf_hub" to push to hub
+      name: "aura-pvc-2-"
+      save_dir: "./output/pvc-2"
+
+      hub_id: "p1atdev/afv03-lora"
+      dir_in_repo: "pvc-2"
+
+seed: 42
+num_train_epochs: 10
+
+trainer:
+  # debug_mode: "1step"
+
+  gradient_checkpointing: true
+
+  torch_compile: true
+  torch_compile_args:
+    mode: max-autotune
+    fullgraph: true
+
+  fp32_matmul_precision: "medium"