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config.yaml

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+job: extension
+config:
+  name: converted_gstar
+  process:
+  - type: sd_trainer
+    training_folder: ./artifacts/weights
+    device: cuda:0
+    trigger_word: Fashion style of 5NmE4
+    network:
+      type: lora
+      linear: 16
+      linear_alpha: 16
+    save:
+      dtype: float16
+      save_every: 1500
+      max_step_saves_to_keep: 4
+    datasets:
+    - folder_path: ./artifacts/dataset/converted_gstar
+      caption_ext: txt
+      caption_dropout_rate: 0.1
+      shuffle_tokens: false
+      cache_latents_to_disk: true
+      resolution:
+      - 512
+      - 768
+      - 1024
+    train:
+      batch_size: 1
+      steps: 1500
+      gradient_accumulation_steps: 1
+      train_unet: true
+      train_text_encoder: false
+      disable_sampling: true
+      gradient_checkpointing: true
+      noise_scheduler: flowmatch
+      optimizer: adamw8bit
+      lr: 0.0001
+      ema_config:
+        use_ema: true
+        ema_decay: 0.99
+      dtype: bf16
+    model:
+      name_or_path: ./artifacts/flux_base
+      is_flux: true
+      quantize: true
+meta:
+  name: converted_gstar
+  version: '1.0'

converted_gstar.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:703aaae27e423b0560a50ef41e868497e4c7821945b8a9532c8d8ebbb2353f94
+size 171969440

optimizer.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:260d136091492a587de25f0edcc5c5881bedb4f9f8229bd6b7ea26bacd0922d4
+size 175676612