/generate-image

name: generate-image
description: Generate or edit images via two backends: Google Gemini (gemini-3-pro-image) or any OpenAI-compatible endpoint (gpt-image-2, dall-e-3). Use when the user wants to create, draw, illustrate, or edit an image, icon, logo, poster, or concept art.
user-invocable: true
argument-hint: "\"PROMPT\" --backend gemini|openai [-o out.png] [-i input.png ...] [--aspect-ratio 16:9] [--size 2K|1024x1024] [--count N] [--model ...] [--base-url URL]"
allowed-tools: ["Read", "Write", "AskUserQuestion", "Bash(uv run:*)", "Bash(*/generate_image.py:*)"]

Generate Image (gemini / openai backends)

Turn a text prompt — optionally with reference images — into one or more images via one of two explicit backends. **`--backend` has no default** — always pick one (`gemini` or `openai`), or set `IMAGE_BACKEND`. The script does the API call, file saving, and configuration; your job is to pick the backend, craft a strong prompt, and wire up the flags.

• **`gemini`** — Google's native Gemini API via `google-genai`. Full feature

set: `--aspect-ratio`, `--size` tiers (`1K`/`2K`/`4K`), and multi-image edit/compose (`-i a.png -i b.png`). Use `GEMINI_API_KEY` / `GEMINI_IMAGE_MODEL`.

• **`openai`** — any OpenAI-compatible image endpoint (OpenAI official,

DashScope, new-api gateways, ...). Use `OPENAI_API_KEY` / `OPENAI_BASE_URL` / `OPENAI_IMAGE_MODEL`. Supports `gpt-image-2`, `dall-e-3`, etc.

Prerequisites

• `uv` available (the script is a self-contained `uv run` script; deps install on first run).
• The API key for the chosen backend. The script resolves it progressively, so any one works:
• `export GEMINI_API_KEY=...` (gemini backend) or `export OPENAI_API_KEY=...` (openai backend), or
• a `.env` file (checked in order: `$PWD/.env`, then `${CLAUDE_PLUGIN_ROOT}/.env`), or
• `--api-key ...` on the command line.

**CRITICAL** -- Never paste the API key into chat or commit a `.env`. If the key is missing, the script prints exactly how to set it — relay that to the user rather than guessing.

Workflow

1. Clarify intent (only if genuinely ambiguous)

A one-line request like "draw a fox in a spacesuit" needs no questions — just generate. Ask (via AskUserQuestion) only when a choice would materially change the result and you cannot reasonably default it, e.g. aspect ratio for a "banner vs. avatar", or whether an attached image should be *edited* vs. used as *style reference*.

2. Craft the prompt

Read `references/prompting.md` before writing a non-trivial prompt. In short: describe subject, composition, lighting, style, and mood in concrete terms; put any literal text to render in quotes; and for edits, state what to change AND what to keep. A vivid one-paragraph prompt beats a terse phrase.

3. Run the script

Invoke it directly (the shebang runs it through `uv`):

${CLAUDE_PLUGIN_ROOT}/skills/generate-image/scripts/generate_image.py "PROMPT" --backend BACKEND -o OUT.png [flags]

Flags:

| Flag | Purpose | Default | |------|---------|---------| | `--backend` | `gemini` (native Google API) or `openai` (OpenAI-compatible endpoint). No default — also via `IMAGE_BACKEND`. | required | | `-o, --output` | Output path (`.png`/`.jpeg`) | `generated.png` | | `-i, --input` | Reference/input image (repeatable). gemini: edit/compose multi-image. openai: edit single image (first wins). | none | | `--aspect-ratio` | `1:1 2:3 3:2 3:4 4:3 4:5 5:4 9:16 16:9 21:9`. gemini: via `image_config`. openai: via `extra_body` (Gemini-compat endpoints only). | model decides | | `--size` | gemini: `1K`/`2K`/`4K`. openai: free string (`1024x1024`, `auto`, ...). | model decides | | `--count` | Number of images. gemini: N separate calls. openai: one call, `n=N`. | 1 | | `--model` | Model id or alias (else `GEMINI_IMAGE_MODEL`/`OPENAI_IMAGE_MODEL`). gemini: `pro`/`flash`/raw id. openai: raw id (e.g. `gpt-image-2`). | backend default | | `--quality` | `low`/`medium`/`high`/`auto` — openai backend only. | model decides | | `--response-format` | `b64_json`/`url`/`none` — openai backend only. `url` is downloaded to disk; `none` omits the param. Some gateways require `url` or reject the param (use `none`). | `b64_json` | | `--base-url` | openai backend only: OpenAI-compatible base URL. Also via `IMAGE_BASE_URL`/`OPENAI_BASE_URL`. | required for openai | | `--api-key` | Override the API key (else `GEMINI_API_KEY` for gemini, `OPENAI_API_KEY` for openai). | required |

**Models** (pass the alias to `--model` or set the backend's env var):

| Backend | Alias / id | Notes | |---------|-----------|-------| | gemini | `pro` (default) → `gemini-3-pro-image` | highest quality | | gemini | `flash` → `gemini-2.5-flash-image` | faster / cheaper | | openai | `gpt-image-2`, `dall-e-3`, `gpt-image-1`, ... | any id the endpoint serves |

**Examples:**

# Gemini, 2K wide banner
generate_image.py "podcast cover art" --backend gemini --aspect-ratio 16:9 --size 2K -o cover.png
# Gemini multi-image compose
generate_image.py "put the watch from image 1 on the wrist in image 2" --backend gemini -i watch.png -i wrist.png -o composite.png
# OpenAI-compatible gateway, gpt-image-2 (this gateway needs url format)
generate_image.py "a red bicycle" --backend openai --base-url https://api.tu-zi.com/v1 \
  --model gpt-image-2 --size 1024x1024 --response-format url -o bike.png
# OpenAI official
generate_image.py "a red bicycle" --backend openai --base-url https://api.openai.com/v1 --model gpt-image-2 -o bike.png

When the user wants choices to pick from, request `--count 2` (or more) and show all outputs. With `-i`, the prompt becomes an edit/compose instruction over the supplied image(s).

4. Report

Tell the user the saved path(s). If nothing was returned, it is usually a safety-filtered prompt — say so and offer a reworded prompt. Output files are images: reference them by path; do not try to inline their bytes.

Configuration is progressive (the key best practice)

Backend, key, base