ANIMA training is good now. CHROMA is still blurry

configs/ANIMA.knf.yaml

@@ -146,7 +146,7 @@ training:
         # repeats: 0
         # disabled: false
       head:
-        probability: 1.5        # Sample head/face details at extra exposure.
+        probability: 2        # Sample head/face details at extra exposure.
         crop: false             # Preserve detail framing; many samples are close crops.
       genitals:
         probability: 3          # Sample anatomy subset at normal probability.
@@ -245,7 +245,7 @@ training:
       hub_model_id: ladybird-anima-lora             # Optional Hub model id if push_to_hub is enabled.
 
       optimizer: adamw_bf16        # BF16 AdamW optimizer.
-      learning_rate: 0.00007        # Conservative Anima LoRA starting point.
+      learning_rate: 0.00006        # Conservative Anima LoRA starting point.
       lr_scheduler: constant_with_warmup # ramp up LR to avoid weird color biases.
       lr_warmup_steps: 100
       seed: 42                     # Training seed.

configs/CHROMA.knf.yaml

@@ -145,7 +145,7 @@ training:
         # repeats: 0
         # disabled: false
       head:
-        probability: 1.5        # Sample head/face details at extra exposure.
+        probability: 2        # Sample head/face details at extra exposure.
         crop: false             # Preserve detail framing; many samples are close crops.
       genitals:
         probability: 3          # Sample anatomy subset at normal probability.
@@ -229,7 +229,7 @@ training:
     subset_warmup:
       enabled: true
       subsets: [genitals, fullbody]
-      steps: 400   # !! First steps of the total run are ONLY listed subsets!
+      steps: 150   # !! First steps of the total run are ONLY listed subsets!
 
     # Full-run trainer config. trainer_testrun below overrides selected keys
     # only when knf lora sync/train is called with --testrun.
@@ -239,7 +239,7 @@ training:
       hub_model_id: ladybird-chroma-lora            # Optional Hub model id if push_to_hub is enabled.
 
       optimizer: adamw_bf16        # BF16 AdamW optimizer.
-      learning_rate: 0.00005        # Conservative Chroma LoRA starting point.
+      learning_rate: 0.00007        # Conservative Chroma LoRA starting point.
       lr_scheduler: constant_with_warmup # ramp up LR to avoid weird color biases.
       lr_warmup_steps: 100
       seed: 42                     # Training seed.
@@ -250,7 +250,7 @@ training:
       train_batch_size: 2            # 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: 2000          # ANIMA-aligned Chroma character run with extended warmup.
+      max_train_steps: 1800          # ANIMA-aligned Chroma character run with extended warmup.
       ignore_final_epochs: true      # This fixes early stop due to weird epoch calculation by simpletuner
 
       caption_dropout_probability: 0.0  # Disable caption dropout; keep trigger behavior stable.
@@ -265,13 +265,13 @@ 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: 32     # Full-run validation sampling steps.
+      validation_num_inference_steps: 24     # Full-run validation sampling steps.
       validation_guidance: 4.0               # CFG guidance used by validation.
       validation_guidance_real: 1.0          # Chroma/flow guidance-real default.
       validation_guidance_rescale: 0.0       # Guidance rescale; 0 disables rescale.
       validation_seed: 42                    # Deterministic validation seed.
       num_eval_images: 1                     # Images per validation prompt.
-      validation_negative_prompt: "signature,worst quality, low quality, score_1, score_2, score_3, artist name" # Shared validation negative prompt.
+      validation_negative_prompt: "signature, worst quality, low quality, score_1, score_2, score_3, artist name" # Shared validation negative prompt.
 
       report_to: tensorboard       # Write TensorBoard logs.
       logging_dir: logs            # TensorBoard log dir relative to TRAINING/<config-id>_<run>.