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openrouter-image-generationopenrouter 图像生成

Agent Skill

用于辅助图像生成、图片编辑、视觉素材处理或图像模型工作流。它适合让 Agent 根据文本生成图片、处理背景、整理视觉提示词或调用相关图像工具。使用时需要确认输入图片、版权来源、输出格式和模型限制;涉及人物、品牌、商品或公开展示素材时,应额外核对授权、真实性和内容合规边界。

总安装

840

周安装

34

下载量

264
Local Agent

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openrouter-image-generation(openrouter 图像生成)
来源仓库:https://skills.volces.com
仓库路径:openrouter-image-generation
安装命令:
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。当前暂无明确安装命令,请以来源页面说明为准。

简介

openrouter-image-generation 支持图像生成与编辑,适用于视觉素材创建任务。

  • 可通过文本提示生成图片,支持背景处理与风格调整。
  • 通过输入描述词与参数调用,返回生成的图像文件或链接。
  • 使用时需确认输入内容的合法性、版权归属及输出格式限制。
  • 涉及人物、品牌或商业用途时,应额外核查授权与真实性要求。

SKILL.md

OpenRouter Image Generation & Editing

Generate new images or edit existing ones using OpenRouter image-capable models via the Chat Completions API.

Usage

Run the script using absolute path (do NOT cd to the skill directory first):

Generate new image:

# Ensure outbound directory exists first
mkdir -p ~/.openclaw/media/outbound

uv run ~/.openclaw/workspace/skills/openrouter-image-generation/scripts/generate_image.py \
  --prompt "your image description" \
  --filename "~/.openclaw/media/outbound/output-name.png" \
  --model google/gemini-2.5-flash-image \
  [--aspect-ratio 16:9] \
  [--image-size 2K]

Edit existing image (image-to-image):

# Ensure outbound directory exists first
mkdir -p ~/.openclaw/media/outbound

uv run ~/.openclaw/workspace/skills/openrouter-image-generation/scripts/generate_image.py \
  --prompt "editing instructions" \
  --filename "~/.openclaw/media/outbound/output-name.png" \
  --input-image "path/to/input.png" \
  --model google/gemini-2.5-flash-image

Important: Default OpenClaw delivery path is ~/.openclaw/media/outbound/. Save generated images there so other OpenClaw flows can pick them up easily.

API Key

The script checks for API key in this order:

  1. --api-key argument
  2. OPENROUTER_API_KEY environment variable

Optional OpenRouter attribution headers:

  • --site-url or OPENROUTER_SITE_URL
  • --app-name or OPENROUTER_APP_NAME

Model + Image Config

  • --model <openrouter-model-id> is required (no script default)
  • Example model: google/gemini-2.5-flash-image
  • Use --aspect-ratio for image_config.aspect_ratio (for example 1:1, 16:9)
  • Use --image-size for image_config.image_size (1K, 2K, 4K)
  • Use --image-config-json '{"key":"value"}' for advanced/provider-specific extras (merged into image_config)

Note: OpenRouter docs show aspect_ratio and image_size as the common image config fields for image generation. Additional keys may exist for specific providers/models (for example Sourceful features). If a request fails, remove unsupported options or switch models.

Note: The script always sends modalities: ["image", "text"]. Image-only models (some FLUX variants) may reject this — if you get an unexpected error with a non-Gemini model, this may be the cause. No workaround is currently exposed via CLI args.

Default Workflow (draft -> iterate -> final)

Goal: iterate quickly before spending time on higher-quality settings.

  • Draft: smaller size / faster model

- --image-size 1K

  • Iterate: adjust prompt in small diffs and keep a new filename each run
  • Final: larger size or higher quality if the selected model supports it

- Example: --image-size 4K --aspect-ratio 16:9

Preflight + Common Failures

  • Preflight:

- command -v uv - test -n "$OPENROUTER_API_KEY" (or pass --api-key) - test -d ~/.openclaw/media/outbound || mkdir -p ~/.openclaw/media/outbound - If editing: test -f "path/to/input.png"

  • Common failures:

- Error: No API key provided. -> set OPENROUTER_API_KEY or pass --api-key - Error loading input image: -> bad path or unreadable file - HTTP 400 with model/image config error -> unsupported model or invalid image_config.aspect_ratio / image_config.image_size - HTTP 401/403 -> invalid key, no model access, or quota/credits issue - No image found in response -> model may not support image output or request format rejected

Filename Generation

Generate filenames with the pattern: ~/.openclaw/media/outbound/yyyy-mm-dd-hh-mm-ss-name.png

Examples:

  • ~/.openclaw/media/outbound/2026-02-26-14-23-05-product-shot.png
  • ~/.openclaw/media/outbound/2026-02-26-14-25-30-sky-edit.png

Prompt Handling

  • For generation: pass the user's description as-is unless it is too vague to be actionable.
  • For editing: make the requested change explicit and preserve everything else.

Prompt template for precise edits:

  • Change ONLY: <change>. Keep identical: subject, composition/crop, pose, lighting, color palette, background, text, and overall style. Do not add new objects.

Output

  • Save the first returned image to ~/.openclaw/media/outbound/output-name.png by default (pass that full path in --filename)
  • Supports OpenRouter's base64 data URL image responses (message.images[0].image_url.url)
  • Prints the saved file path
  • Do not read the image back unless the user asks

Examples

Generate new image:

mkdir -p ~/.openclaw/media/outbound

uv run ~/.openclaw/workspace/skills/openrouter-image-generation/scripts/generate_image.py \
  --prompt "A cinematic product photo of a matte black mechanical keyboard on a wooden desk, warm window light" \
  --filename "~/.openclaw/media/outbound/2026-02-26-14-23-05-keyboard-product-shot.png" \
  --model google/gemini-2.5-flash-image \
  --aspect-ratio 16:9 \
  --image-size 2K

Edit existing image:

mkdir -p ~/.openclaw/media/outbound

uv run ~/.openclaw/workspace/skills/openrouter-image-generation/scripts/generate_image.py \
  --prompt "Change ONLY: make the sky dramatic with orange sunset clouds. Keep identical: subject, composition, lighting on foreground, and overall style." \
  --filename "~/.openclaw/media/outbound/2026-02-26-14-25-30-sunset-sky-edit.png" \
  --model google/gemini-2.5-flash-image \
  --input-image "original-photo.jpg"

Reference

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Local Agent

73.04%
按下载量换算193

安全审计

暂无安全审计结果可展示。

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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