Snap inc. (20240295953). PROMPT MODIFICATION FOR AUTOMATED IMAGE GENERATION simplified abstract

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PROMPT MODIFICATION FOR AUTOMATED IMAGE GENERATION

Organization Name

snap inc.

Inventor(s)

Aleksandr Zakharov of Dubai (AE)

Sergey Smetanin of London (GB)

Arnab Ghosh of Oxford (GB)

Pavel Savchenkov of London (GB)

PROMPT MODIFICATION FOR AUTOMATED IMAGE GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240295953 titled 'PROMPT MODIFICATION FOR AUTOMATED IMAGE GENERATION

    • Simplified Explanation:**

The patent application describes techniques for modifying prompts to generate images automatically. Users provide a base prompt, which is then modified using various modifiers to create a new prompt. This modified prompt is used to generate an image through an automated image generator.

    • Key Features and Innovation:**
  • Receiving a base prompt from a user device
  • Identifying prompt modifiers
  • Determining modifier scores for each modifier
  • Selecting modifiers based on scores
  • Generating a modified prompt
  • Using the modified prompt to generate an image
    • Potential Applications:**

This technology can be used in various applications such as:

  • Automated graphic design
  • Content creation for social media
  • Personalized image generation for users
    • Problems Solved:**
  • Streamlining the image generation process
  • Enhancing user experience by automating prompt modification
  • Increasing efficiency in creating custom images
    • Benefits:**
  • Faster image generation process
  • Improved user engagement
  • Customized image creation
    • Commercial Applications:**
  • "Automated Prompt Modification Techniques for Image Generation" can be utilized in graphic design software, social media platforms, and e-commerce websites to enhance visual content creation and user experience.
    • Prior Art:**

Prior art related to this technology may include research on automated image generation, prompt modification algorithms, and artificial intelligence in graphic design.

    • Frequently Updated Research:**

Researchers are constantly exploring advancements in automated image generation, machine learning algorithms for prompt modification, and user interaction with AI-generated content.

    • Questions about Automated Prompt Modification Techniques for Image Generation:**

1. How does this technology improve the efficiency of image generation compared to manual methods? 2. What are the potential challenges in implementing automated prompt modification techniques for image generation?


Original Abstract Submitted

examples disclosed herein describe prompt modification techniques for automated image generation. an image generation request comprising a base prompt is received from a user device. a plurality of prompt modifiers is identified. a processor-implemented scoring engine determines, for each prompt modifier, a modifier score. the modifier score for each prompt modifier is associated with the base prompt. one or more of the prompt modifiers are automatically selected based on the modifier scores. a modified prompt is generated. the modified prompt is based on the base prompt and the one or more selected prompt modifiers. the modified prompt is provided as input to an automated image generator to generate an image, and the image is caused to be presented on the user device.

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