Update README.md

README.md

@@ -84,14 +84,17 @@ Blaze.1 Portrait is a flux-based adapter designed to generate high-quality, real
 | Network Alpha             | 32                                      | **Repeat & Steps**        | **<span style="color:orangered">30 & 38,000</span>**|
 | **Epoch**                 | **<span style="color:orangered">45</span>** | Save Every N Epochs       | 1                            |
 
-- The model was trained with an overall image count of **1080 images**, repeated across variations to create a total dataset of **1100 images per repetition**.
-- Training was conducted for **4 epochs per set**, resulting in a cumulative total of **38,000 steps**.
+The model was trained with an overall image count of **1080 images**, repeated across variations to create a total dataset of **1100 images per repetition**.
+
+Training was conducted for **4 epochs per set**, resulting in a cumulative total of **38,000 steps**.
 
 # **Dataset Details**
 
-- The dataset consists of highly realistic images, meticulously curated for optimal model performance. Smaller adapter versions were initially trained on batches, and high-resolution images were later generated from these adapters for further training.
-- Pre-training upscaling techniques were employed to enhance pixel clarity, ensuring superior image fidelity during model inference.
-- Image compression details:
+The dataset consists of highly realistic images, meticulously curated for optimal model performance. Smaller adapter versions were initially trained on batches, and high-resolution images were later generated from these adapters for further training.
+
+Pre-training upscaling techniques were employed to enhance pixel clarity, ensuring superior image fidelity during model inference.
+
+Image compression details:
   - **Minimum compression:** 1.4 MB  
   - **Maximum compression:** 10.1 MB  
   - **Average compression:** 3.2 MB
@@ -109,7 +112,7 @@ Blaze.1 Portrait was trained using state-of-the-art hardware:
 
 # **Training Runtime**
 
-- Total machine runtime: **<span style="color:orangered">8 hours 14 minutes</span>**
+Total machine runtime: **<span style="color:orangered">8 hours 14 minutes</span>**
 
 # **Trigger Words**