How do I install the Photo Restyler skill?

Run npx skillmds@latest add nanoodlecom/photo-restyler in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Photo Restyler safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Photo Restyler?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Photo Restyler free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Photo Restyler?

nanoodlecom (@nanoodlecom) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Photo Restyler by nanoodlecom — Agent Skill

Name: Photo Restyler
Author: nanoodlecom

Photo Restyler

Restyle an existing photo with a plain-English instruction — an image-edit model repaints the picture in the requested style. Use when the user has an image file and wants it restyled, re-lit, aged, cartoonified, or otherwise transformed while keeping the subject.

nanoodlecom Updated Sep 17, 2026

File contents

Photo restyler

Runs the bundled nanoodle workflow workflows/photo-restyler.noodle-graph.json against the NanoGPT API: an image input (Photo) plus a style instruction (Style) feed an image-edit model that outputs the transformed picture (Restyled). Requires Node.js >= 20 and the nanoodle npm package (npx nanoodle fetches it).

API key

The run needs a NanoGPT API key. Prefer NANOGPT_API_KEY already in the environment. Otherwise pass --env-file <path-to-.env> (this CLI: --env-file overrides ambient env).

Never print the key.

Run

From this skill's directory (or prefix paths if running from elsewhere). @path attaches a local file; replace both values:

npx nanoodle run workflows/photo-restyler.noodle-graph.json \
  --input "Photo=@/path/to/photo.jpg" \
  --input "Style=make it look like a vintage 1970s film photograph — warm faded colors, soft grain, slight vignette" \
  --out ./restyle-out

Add --env-file .env only when the key is not already exported. Add --json for a structured result (paths, costUsd, remainingBalance).

Inspect the interface anytime with:

npx nanoodle inspect workflows/photo-restyler.noodle-graph.json

Inputs

Key	Required	What to pass
`Photo`	yes	`@<path>` to the user's image file (jpg/png/webp)
`Style`	yes	The restyle instruction in plain English

Outputs

Media is saved under --out as Restyled.<ext> — extension follows the image MIME. Use the path the CLI prints on the Restyled: line; do not hard-code .png.
With --json, the path is in outputs.Restyled.

Cost

Each run costs about $0.04 in NanoGPT credit (one nano-banana-2-lite edit). Runs spend real credit — tell the user before running repeatedly.

---name: photo-restylerdescription: Restyle an existing photo with a plain-English instruction — an image-edit model repaints the picture in the requested style. Use when the user has an image file and wants it restyled, re-lit, aged, cartoonified, or otherwise transformed while keeping the subject.---# Photo restylerRuns the bundled nanoodle workflow `workflows/photo-restyler.noodle-graph.json` against theNanoGPT API: an image input (`Photo`) plus a style instruction (`Style`) feed an image-editmodel that outputs the transformed picture (`Restyled`). Requires Node.js >= 20 and the`nanoodle` npm package (`npx nanoodle` fetches it).## API keyThe run needs a NanoGPT API key. Prefer `NANOGPT_API_KEY` already in the environment.Otherwise pass `--env-file <path-to-.env>` (this CLI: `--env-file` overrides ambient env).Never print the key.## RunFrom this skill's directory (or prefix paths if running from elsewhere). `@path` attaches alocal file; replace both values:```shnpx nanoodle run workflows/photo-restyler.noodle-graph.json \ --input "Photo=@/path/to/photo.jpg" \ --input "Style=make it look like a vintage 1970s film photograph — warm faded colors, soft grain, slight vignette" \ --out ./restyle-out```Add `--env-file .env` only when the key is not already exported. Add `--json` for astructured result (paths, costUsd, remainingBalance).Inspect the interface anytime with:```shnpx nanoodle inspect workflows/photo-restyler.noodle-graph.json```## Inputs| Key | Required | What to pass ||-----|----------|--------------|| `Photo` | yes | `@<path>` to the user's image file (jpg/png/webp) || `Style` | yes | The restyle instruction in plain English |## Outputs- Media is saved under `--out` as `Restyled.<ext>` — extension follows the image MIME. **Use the path the CLI prints on the `Restyled:` line**; do not hard-code `.png`.- With `--json`, the path is in `outputs.Restyled`.## CostEach run costs about **$0.04** in NanoGPT credit (one `nano-banana-2-lite` edit). Runsspend real credit — tell the user before running repeatedly.

Frequently asked questions