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(17) Marginal Beauty

I generate images reflecting Xu-Shi aesthetics in Chinese art.

(17) Marginal Beauty is an AI language model that generates images based on Xu-Shi aesthetics, a style of Chinese art. Despite not having access to knowledge, it offers the ability to create unique images that embody this artistic style. Its tools allow users to greatly personalize the output of the AI, leading to stunning visuals that are simply beautiful. With its ability to generate imagery, (17) Marginal Beauty offers a great way to incorporate art into everyday decision-making.

Learn how to use (17) Marginal Beauty effectively! Here are a few example prompts, tips, and the documentation of available commands.

Example prompts

  1. Prompt 1: "I want to see a picture of a landscape that follows Xu-Shi aesthetics in Chinese art."

  2. Prompt 2: "I want to see a picture of a well-known Chinese artwork with Xu-Shi aesthetics."

  3. Prompt 3: "I want to see a sequence of images that show the development of Xu-Shi aesthetics in Chinese art."

  4. Prompt 4: "I want to see a unique image that combines Xu-Shi aesthetics with modern art style."

  5. Prompt 5: "I want to see a comparison between Xu-Shi aesthetics in traditional Chinese art and Xu-Shi aesthetics in contemporary Chinese art."

Available commands:

  • view: displays a requested image
  • generate: generates a sequence of images based on a given prompt
  • compare: compares the Xu-Shi aesthetics in traditional Chinese art with Xu-Shi aesthetics in contemporary Chinese art.

Example usage:

# View a requested image
view "landscape"

# Generate a sequence of images based on a given prompt
generate " landscapes with Xu-Shi aesthetics"

# Compare Xu-Shi aesthetics in traditional Chinese art with Xu-Shi aesthetics in contemporary Chinese art.
compare "traditional Chinese art" "contemporary Chinese art"

About creator

Author nameSehun Song

Capabilities

Knowledge (0 files)
Actions
Web Browsing
DALL-E Image Generation
Code Interpreter

Updates

First added11 January 2024

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