Upload task output 1c93dd95-2e89-48d9-813d-e0f521599cfd

checkpoints/last/config.yaml

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+config:
+  name: last
+  process:
+  - datasets:
+    - cache_latents_to_disk: true
+      caption_ext: txt
+      folder_path: /dataset/images/1c93dd95-2e89-48d9-813d-e0f521599cfd/img
+      is_reg: false
+      resolution:
+      - 512
+      - 768
+      - 1024
+    device: cuda
+    model:
+      arch: zimage:turbo
+      assistant_lora_path: /cache/hf_cache/zimage_turbo_training_adapter_v2.safetensors
+      name_or_path: /cache/models/gradients-io-tournaments--Z-Image-Turbo
+      qtype: qfloat8
+      qtype_te: qfloat8
+      quantize: true
+      quantize_te: true
+    network:
+      conv: 16
+      conv_alpha: 16
+      linear: 32
+      linear_alpha: 32
+      type: lora
+    save:
+      dtype: bf16
+      max_step_saves_to_keep: 4
+      save_every: 250
+      save_format: diffusers
+    train:
+      batch_size: 4
+      dtype: bf16
+      ema_config:
+        ema_decay: 0.99
+        use_ema: true
+      gradient_checkpointing: true
+      lr: 0.0001
+      noise_scheduler: flowmatch
+      optimizer: adamw8bit
+      steps: 2000
+      timestep_type: weighted
+    training_folder: /app/checkpoints/1c93dd95-2e89-48d9-813d-e0f521599cfd/z-image
+    type: diffusion_trainer
+job: extension
+meta:
+  name: zimage_lora
+  version: '1.0'