Skip to main content
skill CX Codex

muapi-chibi-collage-effect — Claude Code skill: what it does

Turns a lifestyle photo into a sticker diary collage by framing the original person with kawaii chibi clones, doodles, and handwritten notes.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-chibi-collage-effect -a claude-code
npx skills add SamurAIGPT/Generative-Media-Skills --skill chibi-collage-effect -a claude-code
Open on GitHub

What muapi-chibi-collage-effect does

This skill takes a real lifestyle photo and runs an image editing pipeline through the muapi CLI. The original subject keeps their realistic appearance, facial features and clothes. Around them, the prompt places five to eight chibi sticker clones with white outlines and soft shadows, matching the mood of the location.

The tool calls the gpt-image-2-image-to-image model and outputs a 2160x3840 PNG file in 9:16 portrait orientation. This format fits social stories and vertical feeds directly. The generation also draws decorative scrapbook doodles and handwritten phrases in white and soft pink.

You need the muapi CLI utility and an active MUAPI_API_KEY token. Without running muapi auth configure beforehand, requests to the API fail immediately. Plain studio headshots perform worse because the model relies on the background scene to decide chibi poses and captions.

What it helps with

  • turn a lifestyle portrait into a chibi sticker collage
  • create 9:16 vertical images for social media stories
  • generate mini sticker clones matching the person's outfit and mood
  • add scrapbook doodles and handwritten captions to photos

Example prompts for the agent

  • Create a chibi sticker diary from <image_url>
  • Turn this photo into a chibi collage: <image_url>
  • Generate mini me stickers around the person in <image_url>

How to install muapi-chibi-collage-effect

1Skills CLI (Vercel)

npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-chibi-collage-effect -a claude-code
npx skills add SamurAIGPT/Generative-Media-Skills --skill chibi-collage-effect -a claude-code

2Manually: put the files in place

~/.claude/skills/chibi-collage-effect/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/chibi-collage-effect/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about muapi-chibi-collage-effect

How do I install muapi-chibi-collage-effect in Claude Code?

Run npx skills add SamurAIGPT/Generative-Media-Skills --skill muapi-chibi-collage-effect -a claude-code.

What does muapi-chibi-collage-effect do?

It processes a lifestyle photo via muapi, keeping the person photorealistic while surrounding them with chibi sticker clones and doodles. The output is a vertical 2160x3840 PNG ready for mobile feeds.

What is required before running this skill?

You must have the muapi CLI installed and configure your MUAPI_API_KEY. If the key is missing, configure it with muapi auth configure.

Source text

SKILL.md · MIT
---
slug: muapi-chibi-collage-effect
name: muapi-chibi-collage-effect
version: "1.0.0"
description: Turn a real lifestyle photo into a polished "chibi clone sticker diary" image — the original person stays photorealistic, surrounded by 5–8 kawaii chibi mini-clones, scrapbook doodles, and handwritten-style captions that match the scene.
acceptLicenseTerms: true
---


# Chibi Collage Effect

**Turn a real lifestyle photo into a polished "chibi clone sticker diary" image — the original person stays photorealistic, surrounded by 5–8 kawaii chibi mini-clones, scrapbook doodles, and handwritten-style captions that match the scene.**

## Inputs

| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| `person_image` | image_url | yes | — | A clear lifestyle photo of the person. Setting, outfit, mood, and activity are read from this image and drive the chibi poses and captions. |


## Steps

### Phase A — Chibi Collage Generation

If `{{person_image}}` is not provided, ask the user to upload a lifestyle photo (café, outdoor, cozy at home, travel, etc.). The scene context is what makes the chibi clones feel native to the moment, so a generic studio headshot will give weaker results than a real lifestyle shot.

Once the photo is available, submit the plan with ONE step to generate the chibi collage:

1. **Chibi Collage Generation** — `muapi image edit` (model=`gpt-image-2-image-to-image`):
   - Reference Image: `{{person_image}}`
   - Image size: `2160x3840` (9:16 portrait) — high-resolution social-media-ready output
   - Background: `auto`
   - Output format: `png`
   - Quality: `auto`
   - Moderation: `low`
   - Prompt:
     ```
     Create a high-quality "chibi clone sticker diary photo" based on the uploaded real-life image. Preserve the original person's identity, face, hairstyle, hair color, outfit, body proportions, pose, lighting, and background. Do not alter facial features or turn the subject into a full illustration—maintain a realistic photo look.
     Analyze the uploaded image carefully: identify the setting, mood, activity, clothing style, and overall vibe of the scene. Use this analysis to determine the theme of the chibi stickers, poses, emotions, and text phrases — everything should feel native to the actual moment captured in the photo.
     Add 5–8 chibi mini clones of the same person around the subject, designed in a consistent kawaii sticker style (big head, small body, large expressive eyes, clean digital finish). Each clone must clearly resemble the real person (same hair, outfit, colors).
     Design each chibi with different actions and emotions that are directly relevant to what the person is doing or feeling in the photo — inferred naturally from the scene (e.g. if they're at a café: sipping coffee, reading, daydreaming, chatting; if outdoors: exploring, laughing, taking photos; if cozy at home: cuddling, reading, relaxing). Ensure all poses are unique and contextually matched to the image.
     Render each chibi as a sticker with white outlines, soft shadows, and a slightly floating effect. Arrange them around the subject and edges without covering the face or main body.
     Add light hand-drawn doodles (hearts, sparkles, arrows, motion lines, circles, stars) in white with subtle pink accents, keeping a clean scrapbook diary feel. Doodle style should complement the mood of the scene.
     Include 5–8 short handwritten-style phrases that match the mood and context of the uploaded photo — cute, expressive, and scene-appropriate. Use mostly white text with slight pink highlights and small decorative marks.
     Composition: keep the real person as the central focus, surrounded by chibi stickers and doodles. The result should feel like a polished, playful, high-resolution social media lifestyle diary image — clean, balanced, and visually rich without clutter.
     ```

Present the generated chibi collage to the user. Suggest variations they can try: different source photos (travel, café, cozy-at-home), or asking to bias the captions toward a specific tone (cute, sassy, journal-style).

## Trigger Keywords

`chibi collage`, `chibi sticker diary`, `mini me stickers`, `kawaii clone collage`, `sticker diary photo`, `scrapbook chibi`


---

## Notes for the Executing Agent

- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call `muapi` CLI commands. Use `muapi auth configure` first if `MUAPI_API_KEY` is unset.
- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with `muapi predict wait <request_id>`.
- Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.
- Source schema reference: `gpt-image-v2-edit` maps to `gpt-image-2-image-to-image` in the muapi catalog.
- The output is intentionally 9:16 (2160×3840) so it's ready for IG Stories / Reels / TikTok / YT Shorts without re-cropping.

© SamurAIGPT · MIT · SamurAIGPT/Generative-Media-Skills

Similar skills

Everything for Design →

From the same set59

muapi-selfie-with-celebrities Generates realistic behind-the-scenes movie set selfies from a user photo, then stitches multiple shots into a cinematic video. CX Codex +1 655installs muapi-couple-grid-creator Turns a couple’s photo into six boxed romantic scenes with varied poses and outfits. It needs a clear image of both people. CX Codex +1 655installs muapi-keyboard-art-maker Creates top-down keyboard-keycap images that spell a supplied message. Use it when a text-led visual needs a photographic style. CX Codex +1 654installs muapi-giant-product-showcase This skill turns a product photo into a dramatic scene where the item stands next to a person at building scale. You can then animate the scene into a video. CX Codex +1 654installs muapi-award-ceremony-video This skill generates a 15-second awards-ceremony clip: a host announces the winner, a spotlight finds them in the crowd, and they walk up to collect the award. CX Codex +1 634installs muapi-storyboard-to-cooking-video Turn one person photo into a 15-second cooking tutorial with a 9-step board, continuous animation, and generated kitchen audio. CX Codex +1 623installs muapi-freeze-effect-video Turns a character portrait into a cinematic time-freeze video clip. The subject snaps their fingers, walks past motionless crowds, then restarts reality. CX Codex +1 604installs muapi-color-analysis-board Transforms a front-facing portrait into a luxury editorial color analysis board. Generates personal palettes, makeup suggestions, and wardrobe capsule layouts in a 16:9 spread. CX Codex +1 558installs

Project sponsors

Companies that keep this analytics open
Gold sponsor

Impressions, clicks and code copies — open statistics. We keep the numbers public for the same reason NeBlask itself is public. Become a sponsor