How do I use the Shan Hai Jing Vintage Comic Page template?
Choose the primary action to open PicX Studio with the available template settings. Review the model and format, personalize the creative direction, and generate when ready.
imageFree
Shan Hai Jing Vintage Comic Page
This prompt transforms a reference antique comic layout into a new retro Chinese mythology page, useful for generating alternate educational storybook spreads with the same structure and print aesthetic. (free to use) — Free AI image template on PicX Studio.
Sample Prompt
Using the provided reference image as a layout and style guide, recreate it as a vintage Chinese mythological illustrated story page instead of the Monkey King page. Keep the aged textbook/comic print look, yellowed paper texture, retro ink-and-watercolor rendering, and boxed multi-panel composition. Replace the original content with a 山海经-themed page. Preserve the vertical title block on the left, but change the main title to {argument name="title text" default="山海经"}. Build a total of 8 content panels: 1 large title/hero panel at the top left featuring a mythic figure and a red sun, 5 medium boxed narrative panels in the middle rows with different ancient myth scenes, and 2 wide horizontal panels across the bottom row. Add dense Chinese explanatory captions under each panel in the same old-print style, with small numbered labels for panels 2 through 8 and a small red seal-like tag near the title. The overall result should feel like an antique Chinese serialized picture-book page from a retro children’s mythology encyclopedia.
Reference assets included
Shan Hai Jing Vintage Comic Page needs input media to work. Open it in the studio and these load alongside the prompt — pick whichever ones your chosen model can take.
1 reference image
A practical guide to Shan Hai Jing Vintage Comic Page
Use Shan Hai Jing Vintage Comic Page to plan an AI image around gpt-image-2 generation, themes such as en and gpt-image-2. Match the preview's composition first, then personalize the subject, setting, and mood for your own project.
- Model direction: start with gpt-image-2, the model this template was tuned for, before comparing another model.
- Composition: choose an aspect ratio for the final placement before you generate the image.
