xiaoxiaodong P114 Doodles
Retro pastel doodles from xiaoxiaodong
xiaoxiaodong P114 Doodles
Retro pastel doodles from xiaoxiaodong
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Description
When a photo is intended for a poster, cover, social content, wallpaper, or independent publication, Panel 114 first identifies the core theme worth remembering, relationships between subjects, structural flow, emotional atmosphere, and visual metaphors. It then translates these elements into a pastel, hand-drawn doodle illustration with a vintage paper texture. This helps avoid the stiffness of drawing every object literally, the cramped feeling of filling the entire frame, an overly digital look, and muddy retro color palettes.
Recommended by
淡苍
Why we love this skill
Transforms photos into retro pastel journal doodles with precise half-and-half compositions, supporting varied layouts, wallpaper sizes, text modes, batch generation, aspect-ratio control, and rigorous output checks.
Related Skills
View allxiaoxiaodong · Retro · P001
Panel 001 is suited to tasks that need to preserve the core content of the original image while giving the final visual a light, childlike, retro hand-drawn editorial illustration style with an airy paper feel. It starts with the intended use and desired result, then determines the composition, dimensions, text, and specific output format. Suitable for these situations Preserve content: People, objects, actions, and relationships in the original image should not be replaced by unrelated templates. Enhance expression: You want the photo to have clearer editorial design, artistic direction, or narrative focus. Flexible delivery: The same source material is needed as a comparison image, standalone design, in multiple aspect ratios, or as a wallpaper set.
xiaoxiaodong × Retro × Flat × P019
Panel 019 is suited to tasks that need to preserve the core content of an original image while giving the final visual a clear direction: reconstructing specific subjects and relationships from a photo into a modernist illustration that remains recognizable. It starts with the intended use and desired outcome, then determines the composition, dimensions, text, and specific output format. Best suited for Preserve content: People, objects, actions, and relationships in the original image should not be replaced by unrelated templates. Enhance expression: Give a photo clearer editorial design, artistic language, or narrative focus. Flexible delivery: Create a reference image, a design-only image, multiple aspect ratios, or a set of wallpapers from the same source material.
xiaoxiaodong P117 | Fine Line
When a photo is cluttered or ordinarily composed but still contains a subject worth keeping, Panel 117 first identifies one core subject, one visual anchor, and one emotional relationship, then re-directs them into a small-scale image made of fine lines, pale colors, paper texture, and light collage. The original photo can remain in the comparison area, while the design area gains an independent expression through generous, intentional negative space. Best for Keeping the original subject recognizable while rearranging its position, scale, direction, and crop. Creating an artistic poster with few elements and a strong theme, without tracing every object or retaining a cluttered background. Using delicate lines, soft pastels, and the breathing quality of paper while avoiding realistic detail and smooth vector styling. Producing the same style in top-and-bottom, side-by-side, design-only, multiple aspect ratios, four-end wallpapers, or catalog batch processing. What it solves for you Selects the truly important visual anchor from complex source material and removes secondary information. Lets negative space shape positive and negative forms, distance, and asymmetrical balance instead of filling the entire canvas. Keeps the comparison image strictly divided into two areas, each occupying 50%, with no third band or inset panel. Generates each output independently from the current original image in a single round, avoiding the re-rendering of intermediate results.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto