inno-figure-gen

name	inno-figure-gen
description	Generate/edit images with Gemini image models (default: gemini-3.1-flash-image-preview). Use for image create/modify requests incl. edits. Supports text-to-image + image-to-image; 1K/2K/4K; use --input-image; supports base-url gateways and provider fallback (gemini-native/openai-chat-compat). Use --model to select a different model.

Gemini Image Generation & Editing

Generate new images or edit existing ones using Google's Gemini image generation API (default model: gemini-3.1-flash-image-preview).

中文快速说明

• 适用场景：根据文本生成图片，或基于已有图片做定向编辑。
• 运行方式：通过 uv run 执行当前 skill 目录下的 scripts/generate_image.py。
• 输出位置：图片输出到你执行命令时的当前工作目录（由 --filename 决定）。
• 网关兼容：可通过 --base-url 接入中转网关，默认 --provider auto 自动回退调用路径。
• 密钥建议：优先使用环境变量 GEMINI_API_KEY，避免在命令参数中明文传 --api-key。

Usage

The script is at scripts/generate_image.py relative to this skill's directory (the directory containing this SKILL.md). Resolve the full path from the skill's location before running. Do not hardcode ~/.codex/..., because the skill may be installed in a different location.

Keep the distinction clear:

• The script path tells you where to find generate_image.py.
• The output path is controlled by the current working directory plus --filename.
• Run from the user's working directory so relative filenames save output there, not in the skill directory.

Generate new image:

uv run <this-skill-directory>/scripts/generate_image.py --prompt "your image description" --filename "output-name.png" [--resolution 1K|2K|4K] [--model MODEL] [--api-key KEY] [--base-url URL] [--provider auto|gemini-native|openai-chat-compat]

Edit existing image:

uv run <this-skill-directory>/scripts/generate_image.py --prompt "editing instructions" --filename "output-name.png" --input-image "path/to/input.png" [--resolution 1K|2K|4K] [--model MODEL] [--api-key KEY] [--base-url URL] [--provider auto|gemini-native|openai-chat-compat]

Important: Always run from the user's current working directory so images are saved where the user is working, not in the skill directory.

Default Workflow (draft → iterate → final)

Goal: fast iteration without burning time on 4K until the prompt is correct.

• Draft (1K): quick feedback loop
  • uv run <this-skill-directory>/scripts/generate_image.py --prompt "<draft prompt>" --filename "yyyy-mm-dd-hh-mm-ss-draft.png" --resolution 1K
• Iterate: adjust prompt in small diffs; keep filename new per run
  • If editing: keep the same --input-image for every iteration until you’re happy.
• Final (4K): only when prompt is locked
  • uv run <this-skill-directory>/scripts/generate_image.py --prompt "<final prompt>" --filename "yyyy-mm-dd-hh-mm-ss-final.png" --resolution 4K

Resolution Options

The Gemini 3 Pro Image API supports three resolutions (uppercase K required):

• 1K (default) - ~1024px resolution
• 2K - ~2048px resolution
• 4K - ~4096px resolution

Map user requests to API parameters:

• No mention of resolution → 1K
• "low resolution", "1080", "1080p", "1K" → 1K
• "2K", "2048", "normal", "medium resolution" → 2K
• "high resolution", "high-res", "hi-res", "4K", "ultra" → 4K

Model Selection

The default model is gemini-3.1-flash-image-preview. You can override it with the --model flag:

uv run <this-skill-directory>/scripts/generate_image.py --prompt "..." --filename "..." --model gemini-3.1-flash-image-preview

Available models depend on your Gemini API access. Common options:

• gemini-3.1-flash-image-preview (default) - Fast image generation
• gemini-3-pro-image-preview - Higher quality, slower

Provider And Gateway Modes

generate_image.py now supports three provider modes:

• auto (default): try gemini-native first, then fallback to openai-chat-compat if needed
• gemini-native: force Gemini SDK native call path
• openai-chat-compat: force /v1/chat/completions compatible path

For gateway usage, set --base-url:

uv run <this-skill-directory>/scripts/generate_image.py --prompt "A cute orange cat" --filename "cat.png" --model gemini-3.1-flash-image-preview --base-url "https://api.ikuncode.cc" --provider auto

Explicitly force OpenAI-compatible path:

uv run <this-skill-directory>/scripts/generate_image.py --prompt "A red apple on white background" --filename "apple.png" --model gemini-3.1-flash-image-preview --base-url "https://api.ikuncode.cc" --provider openai-chat-compat

Optional resilience flags:

• --max-retries (default 3)
• --retry-backoff-ms (default 1200)
• --timeout-ms (default 60000)

API Key

The script checks for API key in this order:

1. --api-key argument (use if user provided key in chat)
2. ~/.config/inno-figure-gen/config.env 中的 INNO_FIGURE_GEN_API_KEY
3. GEMINI_API_KEY environment variable

If neither is available, the script exits with an error message.

自定义配置文件

支持通过 ~/.config/inno-figure-gen/config.env 配置自定义 API key、base URL 和默认模型，避免密钥写入 skill 目录或 zshrc：

# ~/.config/inno-figure-gen/config.env
INNO_FIGURE_GEN_API_KEY=sk-your-key-here
INNO_FIGURE_GEN_BASE_URL=https://your-gateway.example.com
INNO_FIGURE_GEN_DEFAULT_MODEL=gemini-3.1-flash-image-preview

优先级：CLI 参数 > config.env > 环境变量。

可用模型：

• gemini-3.1-flash-image-preview（快速）
• gemini-3-pro-image-preview（高质量）

切换模型只需传 --model 参数，无需修改配置文件。

Preflight + Common Failures (fast fixes)

• Preflight:

  • command -v uv (must exist)
  • test -n \"$GEMINI_API_KEY\" (or pass --api-key)
  • If editing: test -f \"path/to/input.png\"

• Common failures:

  • Error: No API key provided. → set GEMINI_API_KEY or pass --api-key
  • Error loading input image: → wrong path / unreadable file; verify --input-image points to a real image
  • “quota/permission/403” style API errors → wrong key, no access, or quota exceeded; try a different key/account
  • system_cpu_overloaded / error code: 524 → transient gateway issue; script auto-retries, rerun if needed
  • model_not_found on one path → use --provider auto or switch model/provider

Filename Generation

Generate filenames with the pattern: yyyy-mm-dd-hh-mm-ss-name.png

Format: {timestamp}-{descriptive-name}.png

• Timestamp: Current date/time in format yyyy-mm-dd-hh-mm-ss (24-hour format)
• Name: Descriptive lowercase text with hyphens
• Keep the descriptive part concise (1-5 words typically)
• Use context from user's prompt or conversation
• If unclear, use random identifier (e.g., x9k2, a7b3)

Examples:

• Prompt "A serene Japanese garden" → 2025-11-23-14-23-05-japanese-garden.png
• Prompt "sunset over mountains" → 2025-11-23-15-30-12-sunset-mountains.png
• Prompt "create an image of a robot" → 2025-11-23-16-45-33-robot.png
• Unclear context → 2025-11-23-17-12-48-x9k2.png

Image Editing

When the user wants to modify an existing image:

1. Check if they provide an image path or reference an image in the current directory
2. Use --input-image parameter with the path to the image
3. The prompt should contain editing instructions (e.g., "make the sky more dramatic", "remove the person", "change to cartoon style")
4. Common editing tasks: add/remove elements, change style, adjust colors, blur background, etc.

Prompt Handling

For generation: Pass user's image description as-is to --prompt. Only rework if clearly insufficient.

For editing: Pass editing instructions in --prompt (e.g., "add a rainbow in the sky", "make it look like a watercolor painting")

Preserve user's creative intent in both cases.

Prompt Templates (high hit-rate)

Use templates when the user is vague or when edits must be precise.

• Generation template:

  • “Create an image of: . Style: . Composition: <camera/shot>. Lighting: <lighting>. Background: <background>. Color palette: <palette>. Avoid: <list>.”

• Editing template (preserve everything else):

  • “Change ONLY: . Keep identical: subject, composition/crop, pose, lighting, color palette, background, text, and overall style. Do not add new objects. If text exists, keep it unchanged.”

Output

• Saves PNG to current directory (or specified path if filename includes directory)
• Script outputs the full path to the generated image
• Do not read the image back - just inform the user of the saved path

Examples

Generate new image:

uv run <this-skill-directory>/scripts/generate_image.py --prompt "A serene Japanese garden with cherry blossoms" --filename "2025-11-23-14-23-05-japanese-garden.png" --resolution 4K

Edit existing image:

uv run <this-skill-directory>/scripts/generate_image.py --prompt "make the sky more dramatic with storm clouds" --filename "2025-11-23-14-25-30-dramatic-sky.png" --input-image "original-photo.jpg" --resolution 2K

Gateway mode with fallback:

uv run <this-skill-directory>/scripts/generate_image.py --prompt "一只卡通橘猫坐在草地上，阳光明亮，插画风格" --filename "2026-04-02-14-00-00-cat.png" --model gemini-3.1-flash-image-preview --base-url "https://api.ikuncode.cc" --provider auto