config: changed z-image training

configs/Z_IMAGE.knf.yaml

@@ -150,7 +150,7 @@ training:
         resolution: 1024        # Preserve detail in high-res head crops.
         crop: false             # Preserve detail framing; many samples are close crops.
       genitals:
-        probability: 4   # Sample anatomy subset at normal probability.
+        probability: 5   # Sample anatomy subset at normal probability.
         crop: false      # Preserve anatomy crop framing.
         # repeats: 0
         # disabled: false
@@ -227,7 +227,7 @@ training:
     subset_warmup:
       enabled: true
       subsets: [genitals, fullbody, head]
-      steps: 800   # !! First steps of the total run are ONLY listed subsets!
+      steps: 1600   # !! First steps of the total run are ONLY listed subsets!
 
     
     # Full-run trainer config. trainer_testrun below overrides selected keys
@@ -238,9 +238,9 @@ training:
       hub_model_id: ladybird-z_image-1-lora               # Optional Hub model id if push_to_hub is enabled.
 
       optimizer: adamw_bf16        # BF16 AdamW optimizer.
-      learning_rate: 0.00008        # 1.2e-4; BFL recommends 8e-5 to 1e-4 for LoRA.
+      learning_rate: 0.00006        # 1.2e-4; BFL recommends 8e-5 to 1e-4 for LoRA.
       lr_scheduler: constant_with_warmup # Ramp up LR to avoid weird color biases.
-      lr_warmup_steps: 100
+      lr_warmup_steps: 200
       seed: 42                     # Training seed.
       gradient_checkpointing: true # Reduce VRAM by recomputing activations.
       max_grad_norm: 0.1           # Clip gradients for stability. Simpletuner recommends 0.01 for z-image
@@ -249,7 +249,7 @@ training:
       train_batch_size: 4             # Per-device batch size; 32 GB VRAM should handle this first.
       gradient_accumulation_steps: 1  # Keep optimizer steps direct when VRAM allows batch 2.
       num_train_epochs: 0             # Step-based training; max_train_steps controls run length.
-      max_train_steps: 2600           # First full Z-Image character run.
+      max_train_steps: 4800           # First full Z-Image character run.
 
       caption_dropout_probability: 0.0  # Disable caption dropout; keep trigger behavior stable.
       data_backend_sampling: auto-weighting  # Auto-balance dataloader sampling based on subset probabilities and sizes.
@@ -257,13 +257,13 @@ training:
       # push_to_hub: false             # Upload final artifacts to Hugging Face Hub.
       # push_checkpoints_to_hub: false # Upload intermediate checkpoints.
       checkpoints_total_limit: 5       # Keep latest 5 checkpoints.
-      checkpoint_step_interval: 200    # Save checkpoint every 200 steps.
-      validation_step_interval: 200    # Run validation every 200 steps.
+      checkpoint_step_interval: 400    # Save checkpoint every 200 steps.
+      validation_step_interval: 400    # Run validation every 200 steps.
       validation_on_startup: false      # Render baseline validation before training.
       validation_prompt_library: false # Disable SimpleTuner built-in prompt library.
       validation_disable_unconditional: true # Skip unconditional validation branch.
       validation_resolution: 1024x1024       # Keep validation affordable for the first Z-Image run.
-      validation_num_inference_steps: 35     # Full-run validation sampling steps.
+      validation_num_inference_steps: 45     # Full-run validation sampling steps.
       validation_guidance: 4.0               # Inference guidance used by validation.
       validation_guidance_real: null         # Remove Chroma default guidance-real from generated config.
       validation_guidance_rescale: 0.0       # Guidance rescale; 0 disables rescale.