Update README.md

README.md

@@ -16,13 +16,13 @@ You won't get annoying captions like "This is image is about a girl..." or
 
 ## Features:
 * Describes image in much detail when using \<MORE_DETAILED_CAPTION\> instruction.
-  <img style="width:70%; hight:70%" src="https://msdn.miaoshouai.com/miaoshou/bo/2024-09-05_12-40-34.png" />
+  <img style="width:100%; hight:100%" src="https://msdn.miaoshouai.com/miaoshou/bo/2024-09-05_12-40-34.png" />
 * When using \<DETAILED_CAPTION\> instruction, it creates a structured caption with infomation on subject's position and also reads the text from the image, which can be super useful when recreate a scene.
-  <img style="width:70%; hight:70%" src="https://msdn.miaoshouai.com/miaoshou/bo/2024-09-05_13-07-54.png" />
+  <img style="width:100%; hight:100%" src="https://msdn.miaoshouai.com/miaoshou/bo/2024-09-05_13-07-54.png" />
 * Memory efficient compare to other models! This is a really light weight caption model that allows you to use a little more than 1G of VRAM and produce lightening fast and high quality image captions.
-  <img style="width:70%; hight:70%" src="https://msdn.miaoshouai.com/miaoshou/bo/2024-09-05_12-56-39.png" />
+  <img style="width:100%; hight:100%" src="https://msdn.miaoshouai.com/miaoshou/bo/2024-09-05_12-56-39.png" />
 * Designed to handle image captions for Flux model for both T5XXL CLIP and CLIP_L, the Miaoshou Tagger new node called "Flux CLIP Text Encode" which eliminates the need to run two separate tagger tools for caption creation. You can easily populate both CLIPs in a single generation, significantly boosting speed when working with Flux models.
-  <img style="width:70%; hight:70%" src="https://msdn.miaoshouai.com/miaoshou/bo/2024-09-05_14-11-02.png" />
+  <img style="width:100%; hight:100%" src="https://msdn.miaoshouai.com/miaoshou/bo/2024-09-05_14-11-02.png" />
   
 ## Instruction prompt:
 \<GENERATE_TAGS\> generate prompt as danbooru style tags<br>