Update app.py

app.py

@@ -64,10 +64,10 @@ def generate_image(category, img1, img2, img3, height, width, img_guidance_scale
     wears = predict_clothing(input_images[1:])
     if len(wears)==1:
         dress = wears[0]
-        text = f"""A {category} wearing {dress}, with a completely white background. The {category} is in <img><|image_1|></img>. The {dress} is in <img><|image_2|></img>."""
+        text = f"""The {category} in <img><|image_1|></img> wearing {dress}, with a completely white background. The {dress} is in <img><|image_2|></img>. Ensure realistic alignment, proportions, and texture adaptation to fit the person's body shape and pose. Maintain the person's original features, such as face, hairstyle, and accessories, without distortion. Blend the clothing naturally with proper lighting and shadows to ensure photorealism. Keep the background of the first image intact."""
     elif len(wears)==2:
         topwear, bottomwear = wears[0], wears[1]
-        text = f"""A {category} wearing {topwear} and {bottomwear}, with a completely white background. The {category} is in <img><|image_1|></img>. The {topwear} is in <img><|image_2|></img>. The {bottomwear} is in <img><|image_3|></img>."""
+        text = f"""A {category} in <img><|image_1|></img> wearing {topwear} and {bottomwear}, with a completely white background. The {topwear} is in <img><|image_2|></img>. The {bottomwear} is in <img><|image_3|></img>. Ensure realistic alignment, proportions, and texture adaptation to fit the person's body shape and pose. Maintain the person's original features, such as face, hairstyle, and accessories, without distortion. Blend the clothing naturally with proper lighting and shadows to ensure photorealism. Keep the background of the first image intact."""
     else:
         input_images = None