多模态图像生成

AI Image Generation

This skill guides you on how to generate and edit images using the AI image generation service, helping users create high-quality product images, modify existing images, and perform creative visual transformations.

Core Concepts

The AI Image Generation tool produces new images based on a text prompt and optional reference images. It supports a wide range of use cases:

• Text-to-image: Generate a brand-new image purely from a text description.
• Image-to-image: Provide one or more reference images and a prompt to generate a new image that preserves elements from the references.
• Image editing: Modify specific elements, colors, backgrounds, or styles in an existing image.
• Product compositing: Place a product from one image into a scene from another image.
• Model swapping: Replace the model or mannequin in a product photo.

Reference images are strongly recommended when the user wants the output to closely resemble an existing product or scene. Up to 3 reference image URLs can be provided, separated by commas.

Parameter Guide

Supported Aspect Ratios

Prompt Writing Tips

1. Be specific and descriptive: Clearly describe the subject, scene, lighting, style, and mood you want.
2. Reference images by number: When using reference images, refer to them as "image 1", "image 2", etc., in the order they appear in referenceImageUrl.
3. State the operation explicitly: Use clear action verbs like "replace", "change", "put", "combine", "generate".
4. Keep within 1000 characters: Prompts have a maximum length of 1000 characters.

Prompt Examples by Scenario

Object replacement:

Replace the vase on the table in image 1 with a potted plant

Background color change:

Change the background color of image 1 to pure white

Product compositing:

Place the product from image 2 onto the marble countertop in image 1

Style transfer:

Transform image 1 into the artistic style shown in image 2

Text-to-image (no reference):

A professional product photo of a sleek black wireless headphone on a gradient blue background, studio lighting, 8K quality

Model swapping:

Replace the model in image 1 with a different model while keeping the same clothing and pose

Local Image Upload

This tool requires publicly accessible image URLs for reference images. If the user provides a local image file path (e.g., C:\Users\...\photo.png, /home/.../image.jpg), you must upload it first to obtain a public URL.

Run the upload script:

python scripts/upload_image.py /path/to/local/image.png

The script will return a public URL (valid for 24 hours) that can be used as the reference image URL parameter.

调用方式

• API 端点：POST /multimodal/generateImage（完整参数/响应/错误码见 references/api.md）
• Python 脚本：python scripts/multimodal_generate_image.py '' [--inline]
• 成本约束：本工具会消耗积分；同一会话同一参数组合默认只调用一次，脚本带 24h 本地缓存。失败/空结果不得自动换关键词、翻页或改邮编连续试探；需要继续检索时先向用户说明会产生额外消耗。

输出策略（脚本默认行为）：

• 始终将完整响应写入 /linkfox///data/linkfox-multimodal-generate-image-.json（ 为脚本执行时的工作目录，在 Claude Code 里即当前项目目录； 取自环境变量 SESSION_ID，按用户任务自动聚合；禁止写入 /tmp，当前目录不可写则报错）
• 响应体 ≤ 8 KB：落盘后把完整 JSON 打印到 stdout
• 响应体 > 8 KB：落盘后 stdout 只输出摘要（顶层字段、常见计数如 total/costToken、最大列表字段的长度 + 前 3 条样本）
• 加 --inline 强制全量打印到 stdout（同样落盘）

读数据建议：先看摘要判断是否足够；需要具体字段时优先用 jq或ConvertFrom-Json 从保存的 json 文件按需抽取，避免整份 JSON 进入上下文。

解决认证和积分问题

发生以下异常情况时，采用 references/onboarding.md 引导解决问题：

异常情况

• 未配置API Key：环境变量未配置 LINKFOX_AGENT_API_KEY，也未配置 LINKFOXAGENT_API_KEY。
• 响应401或402状态码
• 响应提示积分或余额不足：消息含"积分余额不足/计费不足/余额不足/quota exceeded/insufficient balance/套餐到期/需充值/请充值"，或类似含义的内容。

Display Rules

1. Show the generated image: When the response contains image content in the text field, display it directly to the user using markdown image syntax.
2. Status reporting: Check the status and finished fields. If image generation is still in progress, inform the user and advise waiting.
3. Prompt transparency: Briefly describe what prompt and parameters were sent so the user understands what was requested.
4. Aspect ratio confirmation: If the user does not specify dimensions, use the default 1:1 ratio but mention it so they can request a different ratio if needed.
5. Reference image guidance: If the user wants a result close to an existing image but did not provide a reference URL, proactively suggest they provide one for better fidelity.
6. Error handling: When generation fails, explain the issue based on the response status field and suggest adjustments (e.g., simplify the prompt, check reference image URLs, try a different aspect ratio).

Important Limitations

• Reference image limit: A maximum of 3 reference image URLs can be provided per request.
• Prompt length: The prompt must not exceed 1000 characters.
• URL validity: Reference image URLs must be publicly accessible. Private or expired URLs will cause failures.
• Aspect ratio options: Only 1:1, 3:4, 4:3, 9:16, and 16:9 are supported.

User Expression & Scenario Quick Reference

Applicable -- Requests involving image generation or editing:

Not applicable -- Needs beyond image generation:

• Image analysis or recognition (reading text from images, identifying objects)
• Video generation or editing
• Image file format conversion
• Batch processing of hundreds of images
• Image hosting or storage

积分消耗规则

按动态规则计费：消耗积分 = rawTokens × 0.045。

重要：本技能的服务按倍数动态计算，可能一次性消耗大量积分，必须提醒用户，由用户决定是否继续。

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

1. The functionality or purpose described in this skill does not match actual behavior
2. The skill's results do not match the user's intent
3. The user expresses dissatisfaction or praise about this skill
4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.

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