changed Noob Training, minor changes to manifext

MANIFEST.knf.xlsx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:abc3975c6b6bbc1bbf16f4a64ed9beba390962ee48870672edd6118c818b5cc2
-size 16088784
+oid sha256:e64ee4c986e8dc0d772aea42d5e0b5240fb034535c62a777710d7e3083f6cca1
+size 16090324

configs/NOOB_BASE.knf.yaml

@@ -268,7 +268,7 @@ training:
       train_batch_size: 4            # Per-device batch size.
       gradient_accumulation_steps: 1 # Effective batch multiplier.
       num_train_epochs: 0            # Step-based training; max_train_steps controls run length.
-      max_train_steps: 3500          # Current short SDXL run length.
+      max_train_steps: 3200          # Current short SDXL run length.
 
       caption_dropout_probability: 0.05 # Caption dropout for regularization.
       data_backend_sampling: uniform   # Uniform dataloader sampling.
@@ -276,14 +276,14 @@ 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.
+      checkpoints_total_limit: 3   # Keep latest 5 checkpoints.
+      checkpoint_step_interval: 400    # Save checkpoint every 200 steps.
+      validation_step_interval: 400    # Run validation every 200 steps.
       # validation_on_startup: true  # 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       # Validation image size.
-      validation_num_inference_steps: 40     # Full-run validation sampling steps.
+      validation_num_inference_steps: 50     # Full-run validation sampling steps.
       validation_guidance: 5.0               # SDXL CFG guidance used by validation.
       validation_guidance_real: null         # Remove flow-model real CFG from generated config.
       validation_guidance_rescale: 0.0       # Guidance rescale; 0 disables rescale.