Update README.md

README.md

@@ -81,8 +81,8 @@ Blaze.1 Portrait is a flux-based adapter designed to generate high-quality, real
 | LR Scheduler              | Constant                                | Noise Offset              | 0.03                         |
 | Optimizer                 | AdamW                                   | Multires Noise Discount   | 0.1                          |
 | Network Dim               | 64                                      | Multires Noise Iterations | 10                           |
-| 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                            |
+| 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.
 
@@ -113,13 +113,13 @@ 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**
 
 To generate images using Blaze.1 Portrait, utilize the trigger phrase:
 
-- **<span style="color:orangered">b1 portrait</span>**
+- *<span style="color:orangered">b1 portrait</span>*
   
 Incorporating this trigger in your prompts ensures optimal model performance and high-quality portrait generation.
 
@@ -139,4 +139,4 @@ Weights for Blaze.1 Portrait are available in Safetensors format. You can downlo
     url={https://huggingface.co/strangerzonehf/Blaze.1-Portrait},
     model_trainer={@prithivMLmods},
     dataset_curator={@prithivMLmods}
-```
+```