Update README.md

README.md

@@ -84,9 +84,9 @@ 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**.
+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**.
+Training was conducted for 4 epochs per set, resulting in a cumulative total of 38,000 steps.
 
 # **Dataset Details**
 
@@ -95,20 +95,21 @@ The dataset consists of highly realistic images, meticulously curated for optima
 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
+
+- *Minimum compression:* 1.4 MB  
+- *Maximum compression:* 10.1 MB  
+- *Average compression:* 3.2 MB
 
 # **Training Infrastructure**
 
 Blaze.1 Portrait was trained using state-of-the-art hardware:
 
-- **GPU Configuration:** NVIDIA A100 SXM (2x)
-- **vCPU:** 32 cores
-- **VRAM:** 160 GB
-- **RAM:** 250 GB
-- **Disk Space:** 400 GB
-- **Network Memory:** High-speed interconnects for efficient data transfer
+- *GPU Configuration:* NVIDIA A100 SXM (2x)
+- *vCPU:* 32 cores
+- *VRAM:* 160 GB
+- *RAM:* 250 GB
+- *Disk Space:* 400 GB
+- *Network Memory:* High-speed interconnects for efficient data transfer
 
 # **Training Runtime**