使用火山引擎 Seedream-4.5 API 生成高质量图片。适用于文生图、图生图以及生成关联组图的场景。
Scanned 9/5/2026
Install to Claude Code
npx -y skills add dvcrn/openclaw-skills-marketplace --skill seedream --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Seedream?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/dvcrn-seedream)More formats (shields.io, HTML) on the badges page.
---
name: seedream
description: "使用火山引擎 Seedream-4.5 API 生成高质量图片。适用于文生图、图生图以及生成关联组图的场景。"
---
# Seedream
本 Skill 封装了火山引擎(Volcengine)的 Seedream-4.5 图片生成能力,支持通过文本提示词或参考图生成高质量 AI 图像。
## 使用方法
### 文生图
生成单张图片(默认分辨率):
```bash
uv run {baseDir}/scripts/generate_image.py --prompt "一只赛博朋克风格的猫" --api-key YOUR_API_KEY
```
指定分辨率(如 2K, 4K 或具体像素):
```bash
uv run {baseDir}/scripts/generate_image.py --prompt "壮丽的山川日出" --size "2K" --api-key YOUR_API_KEY
```
### 图生图
提供参考图片 URL:
```bash
uv run {baseDir}/scripts/generate_image.py --prompt "将其风格变为印象派" --image "https://example.com/input.jpg" --api-key YOUR_API_KEY
```
### 生成组图
生成一组内容关联的图片(最多 15 张):
```bash
uv run {baseDir}/scripts/generate_image.py --prompt "一个宇航员在不同行星上的探险经历" --sequential --max-images 4 --api-key YOUR_API_KEY
```
## API Key 配置
可以通过以下方式提供 API Key:
1. 命令行参数 `--api-key`
2. 环境变量 `VOLC_API_KEY`
## 参数说明
- `--prompt`: (必选) 图像生成的文本描述。
- `--model`: (可选) 模型 ID,默认为 `doubao-seedream-4-5-251128`。
- `--size`: (可选) 图像尺寸。支持 `2K`, `4K` 或 `2048x2048` 等格式。
- `--image`: (可选) 参考图 URL 或 Base64 编码。
- `--sequential`: (可选) 开启组图生成功能。
- `--max-images`: (可选) 组图生成的最大图片数量(1-15)。
## 工作流
1. 调用 `generate_image.py` 脚本。
2. 脚本会输出以 `MEDIA_URL: ` 开头的图片链接。
3. 提取链接并使用 Markdown 语法展示:``。
4. 除非用户要求,否则无需下载图片。
## 注意事项
- Seedream-4.5 支持中英文提示词。
- 组图功能仅在 Seedream-4.5/4.0 模型中有效。
- 确保提供的图片 URL 可公开访问。
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.