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Agent Skill · 效率

seedream(seedream 图像)

seedream 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

seedream 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 1,759。

总安装 35,424周安装 1,433GitHub Stars 1下载 11,120核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.2

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:seedream(seedream 图像)
来源仓库:https://github.com/xixihhhh/seedream
安装命令:
openclaw skills install seedream
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。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install seedream

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

调用字节跳动 Seedream 模型进行图像生成与编辑。支持文本到图像、图像编辑及批量顺序生成。seedream 属于效率类 Skill,可作为该场景下的辅助能力补充。最高可达 4K 分辨率,适用于高质量视觉素材制作。通过 clawhub 安装并集成至 OpenClaw 环境。

使用过程中需注意水印设置与商用授权合规问题。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install seedream;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

seedream 怎么安装?

在终端执行 openclaw skills install seedream。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

seedream 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

seedream 需要什么权限?

权限级别是接触敏感数据。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。

seedream 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

seedream 用的人多吗?

公开数据是累计安装 35,424 次,近一周安装 1,433 次,下载 11,120 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

seedream 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
seedream

seedream 图像 · 本页

35,4241接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
seedream
description
Generate and edit AI images using ByteDance's Seedream — featuring text-to-image, image editing, and batch sequential generation with up to 4K resolution, PNG output, typography/poster design excellence, and built-in prompt optimization. Supports Seedream v5.0 Lite (latest), v4.5, and v4 across 3 generations and 12 model variants. Available via Atlas Cloud API at up to 10% off standard pricing. Use this skill whenever the user wants to generate images, edit photos, create posters, design typography, batch generate related images, create AI art, or mentions Seedream, ByteDance image, Jimeng, or Doubao image generation. Also trigger when users ask to create product photos, marketing visuals, brand assets, social media graphics, illustrations, concept art, batch image series, or any visual content using AI.
source
https://github.com/AtlasCloudAI/nano-banana-2-skill
homepage
https://github.com/AtlasCloudAI/nano-banana-2-skill
env_vars
ATLASCLOUD_API_KEY
description
Atlas Cloud API key for accessing Seedream image generation models
required
true

Seedream — AI Image Generation & Editing by ByteDance

Generate and edit AI images using ByteDance's Seedream — featuring text-to-image generation, image editing, and batch sequential generation across 3 model generations.

Seedream v5.0 Lite is the latest flagship model with enhanced quality, typography excellence, poster design capabilities, PNG output support, and built-in prompt optimization (Standard/Fast modes). It supports up to 4K resolution with 16 preset sizes and can process up to 14 reference images for editing.

Data usage note: This skill sends text prompts and image URLs to the Atlas Cloud API (api.atlascloud.ai) for image generation and editing. No data is stored locally beyond the downloaded output files. API usage incurs charges per image based on the model selected.

Key Capabilities

  • Text-to-Image — Generate images from text descriptions, up to 4K resolution
  • Image Editing — Edit images while preserving facial features, lighting, and color tones (up to 14 reference images)
  • Batch Sequential Generation — Generate up to 15 related images in a single request
  • Batch Sequential Editing — Edit multiple images in batch while maintaining consistency
  • Typography & Poster Design — Excels at text rendering in images, poster layouts, and brand visuals
  • Prompt Optimization — Built-in Standard (higher quality) and Fast (quicker) prompt optimization modes
  • PNG Output — Supports both JPEG and PNG output formats (v5.0 Lite)
  • 16 Preset Resolutions — From 2K to 4K tier: 2048×2048, 2304×1728, 4096×2304, 4704×2016, and more
  • 3 Generations — v5.0 Lite (latest), v4.5, v4

Setup

  1. Sign up at https://www.atlascloud.ai
  2. Console → API Keys → Create new key
  3. Set env: export ATLASCLOUD_API_KEY="your-key"

The API key is tied to your Atlas Cloud account and its pay-as-you-go balance. All usage is billed to this account. Atlas Cloud does not currently support scoped keys — the key grants access to all models available on your account.


Script Usage

This skill includes a Python script for image generation. Zero external dependencies required.

List available image models

python scripts/generate_image.py list-models

Generate an image

python scripts/generate_image.py generate \
  --model "MODEL_ID" \
  --prompt "Your prompt here" \
  --output ./output

Upload a local image (for editing)

python scripts/generate_image.py upload ./local-image.jpg

Edit an image

python scripts/generate_image.py generate \
  --model "MODEL_ID" \
  --prompt "Edit instruction" \
  --image "https://...uploaded-url..."

Run python scripts/generate_image.py generate --help for all options. Extra model params can be passed as key=value (e.g. aspect_ratio=16:9 resolution=2k).


Pricing

All prices are per image generated. Atlas Cloud offers up to 10% off compared to standard API pricing.

Seedream v5.0 Lite

ModelOriginal PriceAtlas CloudType
bytedance/seedream-v5.0-lite~~$0.035~~$0.032Text-to-Image
bytedance/seedream-v5.0-lite/edit~~$0.035~~$0.032Image Editing
bytedance/seedream-v5.0-lite/sequential~~$0.035~~$0.032Batch Text-to-Image
bytedance/seedream-v5.0-lite/edit-sequential~~$0.035~~$0.032Batch Image Editing

Seedream v4.5

ModelAtlas CloudType
bytedance/seedream-v4.5$0.036Text-to-Image
bytedance/seedream-v4.5/edit$0.036Image Editing
bytedance/seedream-v4.5/sequential$0.036Batch Text-to-Image
bytedance/seedream-v4.5/edit-sequential$0.036Batch Image Editing

Seedream v4

ModelAtlas CloudType
bytedance/seedream-v4$0.024Text-to-Image
bytedance/seedream-v4/edit$0.024Image Editing
bytedance/seedream-v4/sequential$0.024Batch Text-to-Image
bytedance/seedream-v4/edit-sequential$0.024Batch Image Editing
Standard API pricing sourced from fal.ai/seedream-5.0. Seedream v5.0 Lite generates images at ~2-3 seconds per image, making it one of the fastest high-quality image models available.

Parameters

Text-to-Image (v5.0 Lite)

ParameterTypeRequiredDefaultDescription
promptstringYes-Image description (recommended: under 600 English words)
sizestringNo2048*2048Output size in WIDTH*HEIGHT pixels (see Size Options below)
output_formatstringNojpegOutput format: "jpeg" or "png"
optimize_prompt_optionsobjectNo-Prompt optimization: Standard (higher quality) or Fast mode
enable_base64_outputbooleanNofalseReturn Base64 instead of URL

Image Editing (v5.0 Lite)

Same as text-to-image, plus:

ParameterTypeRequiredDefaultDescription
imagesarrayYes-Images to edit: URLs or Base64 (max 14, formats: JPEG/PNG/WEBP/BMP/TIFF/GIF)

Batch Sequential (v5.0 Lite)

Same as text-to-image / image editing, plus:

ParameterTypeRequiredDefaultDescription
max_imagesintegerNo1Number of images to generate (1-15, total with input must not exceed 15)

Text-to-Image (v4.5 / v4)

ParameterTypeRequiredDefaultDescription
promptstringYes-Image description
sizestringNo2048*2048Output size in WIDTH*HEIGHT pixels
enable_base64_outputbooleanNofalseReturn Base64 instead of URL

Size Options (v5.0 Lite — 16 presets)

2K Tier: 2048*2048, 2304*1728, 1728*2304, 2848*1600, 1600*2848, 2496*1664, 1664*2496, 3136*1344

3K+ Tier: 3072*3072, 3456*2592, 2592*3456, 4096*2304, 2304*4096, 2496*3744, 3744*2496, 4704*2016


Workflow: Submit → Poll → Download

Text-to-Image Example (v5.0 Lite)

# Step 1: Submit
curl -s -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bytedance/seedream-v5.0-lite",
    "prompt": "A minimalist Japanese-style poster for a tea ceremony, elegant typography, zen garden background, warm earth tones",
    "size": "2304*4096",
    "output_format": "png"
  }'
# Returns: { "code": 200, "data": { "id": "prediction-id" } }

# Step 2: Poll (every 3 seconds, typically completes in 2-3s)
curl -s "https://api.atlascloud.ai/api/v1/model/prediction/{prediction-id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"
# Returns: { "code": 200, "data": { "status": "completed", "outputs": ["https://...image-url..."] } }

# Step 3: Download
curl -o output.png "IMAGE_URL_FROM_OUTPUTS"

Image Editing Example (v5.0 Lite)

curl -s -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bytedance/seedream-v5.0-lite/edit",
    "prompt": "Change the background to a sunset beach scene, keep the person unchanged",
    "images": ["https://example.com/photo.jpg"],
    "size": "2304*1728",
    "output_format": "jpeg"
  }'

Batch Sequential Example (v5.0 Lite)

curl -s -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bytedance/seedream-v5.0-lite/sequential",
    "prompt": "A series of product photos for a coffee brand: latte art, espresso close-up, coffee beans, packaging design",
    "size": "2048*2048",
    "max_images": 4,
    "output_format": "jpeg"
  }'
# Returns multiple images in outputs array

Batch Sequential Editing Example

curl -s -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "bytedance/seedream-v5.0-lite/edit-sequential",
    "prompt": "Apply a warm vintage film filter, slightly desaturated with golden highlights",
    "images": ["https://example.com/photo1.jpg", "https://example.com/photo2.jpg", "https://example.com/photo3.jpg"],
    "max_images": 3,
    "output_format": "jpeg"
  }'

Polling Logic

  • processing / starting → wait 3s, retry (typically takes 2-3s for single image)
  • completed / succeeded → done, get URL(s) from data.outputs[]
  • failed → error, read data.error

Atlas Cloud MCP Tools (if available)

If the Atlas Cloud MCP server is configured, use built-in tools:

atlas_generate_image(model="bytedance/seedream-v5.0-lite", params={...})
atlas_get_prediction(prediction_id="...")

Implementation Guide

  1. Determine task type:

- Text-to-image: user describes what they want to generate - Image editing: user provides existing image(s) and describes modifications - Batch sequential: user needs multiple related images in one go - Batch sequential editing: user needs consistent edits across multiple images

  1. Choose model version:

- v5.0 Lite (recommended): Best quality, typography, PNG support, prompt optimization - v4.5: Strong alternative with poster/brand design focus - v4: Budget option at $0.024/image

  1. Choose single vs sequential:

- Single: One image per request (default) - Sequential: Up to 15 related images per request — ideal for product series, storyboards, brand asset sets

  1. Extract parameters:

- Prompt: be descriptive about style, composition, colors, typography if needed - Size: pick from 16 presets; consider aspect ratio (portrait/landscape/square/ultrawide) - Output format: PNG for transparency or lossless, JPEG for smaller files - Prompt optimization: Standard for best quality, Fast for speed

  1. Execute: POST to generateImage API → poll prediction → download
  1. Present result: show file path, display image if possible

Prompt Tips

Seedream produces excellent results especially for:

  • Typography & Text: "A poster with bold title 'SPRING SALE' in elegant serif font, floral frame..."
  • Poster Design: "Movie poster for a sci-fi thriller, dark blue tones, futuristic cityscape..."
  • Brand Visuals: "Product packaging design for organic tea brand, minimalist, earth tones..."
  • Multi-reference Editing: Provide multiple reference images for consistent style transfer
  • Batch Series: Use sequential mode for "A 4-panel comic strip..." or "Product photos from 4 angles..."

Model Comparison

| Feature | v5.0 Lite | v4.5 | v4 | |---------|:---------:|:----:|:--:| | Price | $0.032 | $0.036 | $0.024 | | Max Resolution | 4K+ (4704×2016) | 4K (4096×4096) | 4K (4096×4096) | | PNG Output | Yes | No | No | | Prompt Optimization | Standard/Fast | No | No | | Typography Quality | Best | Excellent | Good | | Speed | ~2-3s | ~3-5s | ~3-5s | | Batch Sequential | Up to 15 | Up to 15 | Up to 15 | | Max Reference Images | 14 | 14 | 14 |

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

平台分布

OpenClaw

80.15%
按下载量换算8,913

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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