Update README.md

README.md

@@ -48,7 +48,7 @@ pipeline_tag: text-to-image
   - Training Tools: [Onetrainer (Koratahiu‘s Fork)](https://github.com/Koratahiu/OneTrainer/tree/moss-image) / [Fizgig](https://github.com/shootthesound/Fizgig)
   - Dataset: Mostly 50+ images (averaging 100+)
   - Tagging Style: Mixed format (Booru tags as prefixes combined with natural language)
-  - Training  Res: 512x512
+  - Training Res: 512 / 0.25(0.26) MP 
   - Repeats per Image: 50+
   - Training Parameters: Default settings from Onetrainer / Fizgig
     - Onetrainer tweak:
@@ -68,7 +68,7 @@ pipeline_tag: text-to-image
   - Training Tools: [Onetrainer](https://github.com/nerogar/OneTrainer)
   - Dataset: Mostly 50+ images (averaging 100+)
   - Tagging Style: Mixed format (Booru tags as prefixes combined with natural language)
-  - Training  Res: 512x512
+  - Training  Res: 512 
   - Repeats per Image: 50+
   - Training Parameters: Default settings from Onetrainer
   - Showcase & Card Image Parameters:
@@ -82,7 +82,7 @@ pipeline_tag: text-to-image
   - Training Tools: [Onetrainer](https://github.com/nerogar/OneTrainer)
   - Dataset: 20 ~ 100 images
   - Tagging Style: Mixed format (Booru tags as prefixes combined with natural language)
-  - Training  Res: 512x512
+  - Training  Res: 512
   - Repeats per Image: 50+
   - Training Parameters: Mostly default settings from Onetrainer
   - Showcase & Card Image Parameters:
@@ -94,7 +94,7 @@ pipeline_tag: text-to-image
   - Training Tools: [Kohya_ss](https://github.com/bmaltais/kohya_ss) / [AI-Toolkit](https://github.com/ostris/ai-toolkit) / [lora-scripts v1.11.0](https://github.com/bmaltais/kohya_ss)
   - Dataset: 20-50 images
   - Tagging Style: Early stages used Booru tags; later shifted to natural language descriptive captions
-  - Training  Res: 512x512
+  - Training  Res: 512
   - Repeats per Image: 50+
   - Training Parameters: Mostly default settings from Kohya_ss / AI-Toolkit / lora-scripts v1.11.0 (*lr* may differ in Kohya_ss & lora-scripts)
   - Showcase & Card Image Parameters:
@@ -111,7 +111,7 @@ pipeline_tag: text-to-image
   - Tool: [Kohya Colab](https://github.com/hollowstrawberry/kohya-colab) / [Kohya_ss](https://github.com/bmaltais/kohya_ss) / [lora-scripts v1.11.0](https://github.com/bmaltais/kohya_ss)
   - Dataset: 50-200 images
   - Tagging Style: Booru tags
-  - Training  Res: 1024x1024+
+  - Training  Res: 1024+
   - Repeats per Image: 30 - 50
   - Training Parameters: Mostly default settings from the Colab notebook / Kohya_ss / lora-scripts (*lr* may differ in Kohya_ss & lora-scripts)
   - Showcase & Card Image Parameters: