AWS bedrock documentation change
Summary
Replaced 'leverage' with 'use' in Titan Image Generator description and updated step reference wording
Security assessment
Terminology standardization without security impact. Watermark detection steps remain functionally unchanged. No security features added or vulnerabilities addressed.
Diff
diff --git a/bedrock/latest/userguide/titan-image-models.md b/bedrock/latest/userguide/titan-image-models.md index 64f7e5064..6152444c5 100644 --- a//bedrock/latest/userguide/titan-image-models.md +++ b//bedrock/latest/userguide/titan-image-models.md @@ -13 +13 @@ Amazon Titan Image Generator G1 is an image generation model that enables users -Amazon Titan Image Generator G1 v2 adds several advanced capabilities. It allows users to leverage reference images to guide image generation, where the output image aligns with the layout and composition of the reference image while still following the textual prompt. It also includes an automatic background removal feature, which can remove backgrounds from images containing multiple objects without any user input. The model provides precise control over the color palette of generated images, allowing users to preserve a brand's visual identity without the requirement for additional fine-tuning. Additionally, the subject consistency feature enables users to fine-tune the model with reference images to preserve the chosen subject (e.g., pet, shoe or handbag) in generated images. This comprehensive suite of features empowers users to unleash their creative potential and bring their imaginative visions to life. +Amazon Titan Image Generator G1 v2 adds several advanced capabilities. It allows users to use reference images to guide image generation, where the output image aligns with the layout and composition of the reference image while still following the textual prompt. It also includes an automatic background removal feature, which can remove backgrounds from images containing multiple objects without any user input. The model provides precise control over the color palette of generated images, allowing users to preserve a brand's visual identity without the requirement for additional fine-tuning. Additionally, the subject consistency feature enables users to fine-tune the model with reference images to preserve the chosen subject (e.g., pet, shoe or handbag) in generated images. This comprehensive suite of features empowers users to unleash their creative potential and bring their imaginative visions to life. @@ -143 +143 @@ Watermark Detection API is in preview and is subject to change. We recommend tha -You can upload your image to detect if a watermark from Titan Image Generator G1 or Amazon Nova Canvas is present on the image. Use the console to detect a watermark by following the below steps. +You can upload your image to detect if a watermark from Titan Image Generator G1 or Amazon Nova Canvas is present on the image. Use the console to detect a watermark by following the following steps.