Skip to main content

generate-image

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.

소스 정보

저장소
FradSer/dotclaude
최근 소스 활동
2026년 8월 10일 12:27
감지된 SKILL.md 언어
영어
스타
593
포크
50

설치 방법

기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.

소스 파일 검토

설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.

파일 탐색기
3 개 파일

SKILL.md 표시 중

SKILL.md
소스 지침 · 읽기 전용 미리보기
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.
# 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`): ```bash ${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:** ```bash # 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 URL, model, and quality are each resolved by `lib/progressive_env.py` in this order, stopping at the first hit: **CLI flag → process env → `.env` chain → built-in default**. This is why the same command works in a project with a local `.env`, in a shell with exports, or with everything overridden inline — and why a newer model or a different endpoint can be selected with `export GEMINI_IMAGE_MODEL=...` / `export OPENAI_BASE_URL=...` without touching code. See `references/prompting.md` for the parameter reference. ## Files - `scripts/generate_image.py` — the generator (`google-genai` for gemini, `openai` for openai). - `references/prompting.md` — prompt-writing guide and full parameter reference. - `${CLAUDE_PLUGIN_ROOT}/lib/progressive_env.py` — shared progressive config resolver.
GitHub에서 보기