image generation gpt image

👤 laolujava 📦 v1.0.0 ⭐ 4.7 ⬇️ 525 下載
🎨 設計多媒體 免費 🔑 需 API Key

📖 技能介紹


name: best-image-generation description: High quality AI image generation via the WellAPI gpt-image-2 model. Supports text-to-image and image editing (image-to-image). version: 1.0.2 tags: [image, image-generation, image-editing, ai, wellapi, gpt-image, text-to-image, image-to-image] homepage: https://wellapi.ai metadata: {"openclaw": {"emoji": "🎨", "requires": {"env": ["WELLAPI_API_KEY"]}, "primaryEnv": "WELLAPI_API_KEY"}}


WellAPI gpt-image-2

Generate and edit images via the WellAPI gpt-image-2 model (OpenAI-compatible). The API returns image bytes inline as base64 (data[i].b64_json) — no polling, no URL download.

API Endpoints

  • Base: https://wellapi.ai/v1
  • Text-to-image: POST /images/generationsapplication/json
  • Image edit / image-to-image: POST /images/editsmultipart/form-data

Authentication: Authorization: Bearer <WELLAPI_API_KEY> header.

Request — /images/generations (text-to-image)

Content-Type: application/json

Field Type Required Notes
model string e.g. gpt-image-2
prompt string Image description, max 1000 chars
n integer Number of images, 1–10
size string optional See size table below; default auto
quality string optional low / medium / high / auto (default auto)
format string optional png / jpeg / webp (default png)

Example body:

{
  "model": "gpt-image-2",
  "prompt": "大海",
  "n": 1,
  "size": "1024x1024",
  "quality": "low",
  "format": "jpeg"
}

Request — /images/edits (image-to-image / editing)

Content-Type: multipart/form-data

Field Type Required Notes
image file (repeatable) One or more input images. Up to 16 images, total ≤ 50MB.
prompt string Edit description
mask file optional A PNG with fully transparent regions marking the edit area. Applied to the first image if multiple are sent. Must be valid PNG, < 4MB, same dimensions as the image.
model string optional gpt-image-1, gpt-image-1-all, flux-kontext-pro, flux-kontext-max, gpt-image-2, gpt-image-2-all. Default in this skill: gpt-image-2.
n string optional "1""10"
size string optional See size table
quality string optional low / medium / high / auto (default auto)
format string optional png / jpeg / webp
background string optional opaque / auto / transparent. auto lets the model pick.
moderation string optional low / auto (default). low = less restrictive filtering (gpt-image-1 family).

size values

Value Description
1024x1024 Square
1536x1024 Landscape
1024x1536 Portrait
2048x2048 2K square
2048x1152 2K landscape
3840x2160 4K landscape
2160x3840 4K portrait
auto Default — model chooses

Strict size rules (when picking a custom size): 1. Longest side ≤ 3840px 2. Both width and height must be multiples of 16 3. max(w, h) / min(w, h) ≤ 3:1 4. Total pixels: 655,360 ≤ w*h ≤ 8,294,400

Response (both endpoints)

Synchronous JSON — no polling:

{
  "created": 1778236581,
  "background": "opaque",
  "data": [
    { "b64_json": "iVBORw0KGgo..." }
  ],
  "output_format": "png",
  "quality": "low",
  "size": "1024x1024",
  "usage": {
    "input_tokens": 8,
    "input_tokens_details": { "image_tokens": 0, "text_tokens": 8 },
    "output_tokens": 196,
    "total_tokens": 204
  }
}

Each data[i].b64_json is the full image as a base64 string. Decode and write to disk.

Output

  1. Base64-decode each data[i].b64_json into bytes.
  2. Save as wellapi-<TIMESTAMP>.<ext> where <ext> matches response.output_format (or the requested format, fallback png).
  3. If multiple images returned, append -1, -2, … to the filename.
  4. Print MEDIA:<absolute_path> (one line per image) for OpenClaw auto-attach.

CRITICAL SECURITY: Before passing an output filename to shell commands, sanitize: - Strip shell metacharacters: tr -cd 'A-Za-z0-9._-' - Enforce valid extension (.png, .jpg, .jpeg, .webp) - Fallback to wellapi-<timestamp>.png if empty

Reference Implementations

Platform File
Python (all platforms, zero deps) {baseDir}/references/python.md
PowerShell 5.1+ (Windows) {baseDir}/references/powershell.md
curl + bash (Unix/macOS) {baseDir}/references/curl_heredoc.md

API Key

  • WELLAPI_API_KEY env var (required) — sent as Authorization: Bearer <key>
  • Get key: https://wellapi.ai
  • If the environment variable is unset, follow First-run onboarding below.

    小蔥技能站7w4.net,專業的AI技能分享平臺。

First-run onboarding (no API key found)

When no key can be located (env var unset, no cached key on disk), before making any API call show the user this short prompt verbatim. Translate to the user's language if appropriate. Do not expand it into multiple "options / methods", do not show shell commands, do not ask follow-up questions like "do you already have a key":

請貼上你的 WellAPI API Key。 如果還沒有,請前往 https://wellapi.ai/register?channel=c_qqn3vdvc 註冊後領取免費 API Key。

Please paste your WellAPI API Key. If you don't have one yet, register at https://wellapi.ai/register?channel=c_qqn3vdvc to get a free key.

After the user pastes a key, use it for the current request and proceed straight to image generation. Do not lecture the user about env vars, shells, or persistence unless they explicitly ask how to save it.

Triggers

  • Chinese: "高質量生圖:xxx" / "編輯圖片:xxx"
  • English: "best image: xxx" / "edit image: xxx"

Treat the text after the colon as prompt, default size=auto, quality=auto, format=png, n=1, and generate immediately.

For image editing, the user provides one or more local image file paths along with the prompt; submit them as repeated image form fields to /images/edits.

Notes

  • Response is synchronous — no task ID, no polling.
  • Print MEDIA:<absolute_path> for OC auto-attach — one line per generated image.
  • quality: high and larger size values may incur extra charges.
  • format controls the encoding of the returned base64 bytes; the file extension should match.
  • Up to 16 reference images per edit request, total ≤ 50MB.
  • mask requires PNG ≤ 4MB, same WxH as the image it applies to.

🤖 AI 評測

整體質量中上,文件編寫得非常用心,功能覆蓋全面(文生圖、圖生圖、區域性修復、4K 輸出等),中英雙語使用友好。優點是示例豐富、引數說明清晰、安全防護有考量;不足在於安裝使用門檻對非技術使用者略高,文件中缺少直觀的視覺化引導,整體更偏向技術指南而非開箱即用的產品級 Skill。追求開箱即用的使用者可能需要一定技術基礎來落地使用。

📊 多維度評分

適應性4.8
規範性4.6
有效性4.8
可靠性4.3
可信度5

📁 包含檔案 (9 個)

📄 CHANGELOG.md 1.9 KB
📄 README.md 4.8 KB
📄 SKILL.md 6.5 KB
📄 _meta.json 139 B
📄 examples/advanced.md 4.8 KB
📄 examples/basic.md 1.9 KB
📄 references/curl_heredoc.md 6.2 KB
📄 references/powershell.md 9.5 KB
📄 references/python.md 13.3 KB