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image_gen_coze

Skill32 starsChanged 8 days agoMITView on GitHub

Image Generation via Coze | 基于 Coze 的图像生成技能 Generate images using Coze workflows. 使用 Seedream 4.5 model. Handles parameter building and result parsing. 负责参数构建和结果解析。 Requires coze-workflow skill. 需要 coze-workflow 技能。

  • Reads credentials
  • Sends data out

The file

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SKILL.md

Image Gen Coze | 图像生成技能

基于 Coze 工作流的图像生成技能。使用 Seedream 4.5 模型。依赖: coze-workflow 技能(基础层)。

Image generation skill based on Coze workflow. Uses Seedream 4.5 model. Requires: coze-workflow skill (base layer).


依赖关系 / Dependencies

必需 / Required:

  • coze-workflow v1.1.1+ - Coze 工作流执行的基础技能 / Base skill for Coze workflow execution

架构 / Architecture:

  • coze-workflow(基础层 / base)→ image-gen-coze(业务层 / business layer)

功能特性 / Features

特性 / Feature说明 / Description
模型 / ModelSeedream 4.5
输入 / Input单一 Prompt / Single prompt
输出 / Output图片 URL / Image URL
限制 / Limit30秒/次 / 30 seconds per request

配置 / Configuration

~/.openclaw/skills/image_gen_coze/config.json:

{
  "workflow_id": "7613773741864550434"
}

依赖技能配置 / Dependency config:~/.openclaw/skills/coze_workflow/config.json


使用方式 / Usage

输入 / Input

{
  "prompt": "一只可爱的橘猫在窗台上晒太阳,温暖的光线,写实摄影风格 --ar 1:1"
}

完整调用流程 / Full Workflow

#!/bin/bash

# 1. 读取配置 / Read config
WORKFLOW_ID=$(jq -r '.workflow_id' ~/.openclaw/skills/image_gen_coze/config.json)
COZE_CONFIG=~/.openclaw/skills/coze_workflow/config.json
API_KEY=$(jq -r '.api_key' "$COZE_CONFIG")
BASE_URL=$(jq -r '.base_url // "https://api.coze.cn"' "$COZE_CONFIG")

# 2. 构建 prompt / Build prompt
PROMPT="一只可爱的橘猫在窗台上晒太阳,温暖的光线,写实摄影风格 --ar 1:1"

# 3. 调用 coze_workflow 执行 / Execute
result=$(curl -s -X POST "${BASE_URL}/v1/workflow/stream_run" \
  -H "Authorization: Bearer ${API_KEY}" \
  -H "Content-Type: application/json" \
  -d "{
    \"workflow_id\": \"${WORKFLOW_ID}\",
    \"parameters\": {
      \"prompt\": \"${PROMPT}\"
    }
  }" | grep -E "^event: Message$" -A1 | tail -1)

# 4. 解析结果 / Parse result
data=$(echo "$result" | sed 's/^data: //')
content=$(echo "$data" | jq -r '.content')
image_url=$(echo "$content" | jq -r '.output // empty')

# 5. 下载并保存 / Download and save
if [ -n "$image_url" ]; then
  SAVE_DIR="./generated_images"
  mkdir -p "$SAVE_DIR"
  
  TIMESTAMP=$(date +%Y%m%d_%H%M%S)
  PREFIX=$(echo "$PROMPT" | sed 's/[^a-zA-Z0-9\u4e00-\u9fa5]//g' | cut -c1-10)
  FILENAME="${TIMESTAMP}_${PREFIX}.png"
  FILEPATH="${SAVE_DIR}/${FILENAME}"
  
  curl -s -L "$image_url" -o "$FILEPATH"
fi

文件保存约定 / File Save Convention

保存路径 / Save Path

./generated_images/

实际路径示例 / Example paths:

  • Agent A: ~/.openclaw/workspace-agentA/generated_images/
  • Agent B: ~/.openclaw/workspace-agentB/generated_images/

命名规则 / Naming Rule

{时间戳 / Timestamp}_{prompt前缀 / Prefix}.png

示例 / Example:
20260305_233045_一只可爱的橘猫.png
参数 / Parameter说明 / Description示例 / Example
TIMESTAMP生成时间 / Generation time20260305_233045
PREFIXPrompt 前10字符 / First 10 chars一只可爱的橘猫

提示词写法 / Prompt Writing

尺寸 / Aspect Ratio

在 prompt 末尾添加 --ar 比例:

标签 / Tag尺寸 / Size
--ar 1:11024×1024
--ar 16:91024×576
--ar 9:16576×1024

风格关键词 / Style Keywords

  • 写实摄影风格 - 照片级真实 / Photorealistic
  • 动漫风格 - 日式动漫 / Anime style
  • 3D渲染 - 三维立体 / 3D render
  • 赛博朋克 - 科幻霓虹 / Cyberpunk

速率限制 / Rate Limit

30秒/次 - 建议实现调用间隔检查 / Implement call interval checking.


版本历史 / Changelog

  • v1.1.3: 添加中英文对照 / Add bilingual support
  • v1.1.1: 明确职责,负责参数构建和结果解析 / Clarify responsibilities
  • v1.1.0: Seedream 4.5 模型 / Seedream 4.5 model
  • v1.0.0: 初始版本 / Initial version

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