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README.md

@@ -22,7 +22,7 @@ Given a target image, WeavePrompt automatically generates and refines text promp
 
 The process involves generating images from identical prompts using various image generation models, comparing the results to a reference image through a recognition and similarity evaluation pipeline, and iteratively adjusting the prompt to minimize perceptual differences. This feedback loop continues for a set number of iterations, progressively enhancing prompt effectiveness.
 
-To achieve this, WeavePrompt integrates advanced tools:
+To achieve this, **WeavePrompt** integrates advanced tools:
 
 **Image recognition** is powered by meta-llama/Llama-4-Scout-17B-16E-Instruct.
 
@@ -33,7 +33,7 @@ To achieve this, WeavePrompt integrates advanced tools:
 - Google models: Imagen 4, Imagen 4 Ultra, and Gemini 2.5 Flash Image
 - Other models: Stable Diffusion 3.5 Large and Qwen Image
 
-By systematically combining prompt optimization with multi-model evaluation, WeavePrompt aims to advance the understanding of cross-model prompt effectiveness and improve controllability in image generation tasks.
+By systematically combining prompt optimization with multi-model evaluation, **WeavePrompt** aims to advance the understanding of cross-model prompt effectiveness and improve controllability in image generation tasks.
 
 ## Features
 - Upload a target image