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README.md

@@ -70,9 +70,9 @@ For more details, including weighting, merging and fusing LoRAs, check the [docu
 
 ## Training details
 
-- Steps: 600
-- Learning rate: 0.0001
-- LoRA rank: 8
+- Steps: 800
+- Learning rate: 0.0004
+- LoRA rank: 16
 
 
 ## Contribute your own examples

config.yaml

@@ -8,11 +8,11 @@ config:
     trigger_word: km000
     network:
       type: lora
-      linear: 8
-      linear_alpha: 8
+      linear: 16
+      linear_alpha: 16
     save:
       dtype: float16
-      save_every: 601
+      save_every: 801
       max_step_saves_to_keep: 1
     datasets:
     - folder_path: input_images
@@ -27,7 +27,7 @@ config:
       - 1024
     train:
       batch_size: 1
-      steps: 600
+      steps: 800
       gradient_accumulation_steps: 1
       train_unet: true
       train_text_encoder: false
@@ -35,7 +35,7 @@ config:
       gradient_checkpointing: false
       noise_scheduler: flowmatch
       optimizer: adamw8bit
-      lr: 0.0001
+      lr: 0.0004
       ema_config:
         use_ema: true
         ema_decay: 0.99
@@ -46,7 +46,7 @@ config:
       quantize: false
     sample:
       sampler: flowmatch
-      sample_every: 601
+      sample_every: 801
       width: 1024
       height: 1024
       prompts: []

lora.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:154abc4d9285e10165c70da46e406f5099ee212193dd2faacf2334ce42c13b9d
-size 86049800
+oid sha256:ed2856be825e09d236276169d5497d71b8d6f2b4833e84d72a79debf1a345b9d
+size 171969416