seedream

Generate AI images from descriptive prompts using the Seedream model.

10|2|Updated Feb 23, 2026
One-click install
npx skills add https://github.com/metaid-developers/IDBots --skill seedream-metaid-developers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: seedream
Source: https://github.com/metaid-developers/IDBots/tree/main/SKILLs/seedream
Command: npx skills add https://github.com/metaid-developers/IDBots --skill seedream-metaid-developers

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Seedream 提供高质量的 AI 图像生成能力,通过一个统一入口将文本到图像、图像到图像编辑、多图融合和组图输出等创作模式整合到本地-first 的执行环境中,降低技术门槛并提升创作效率。

Core Features & Use Cases

  • 文本生成图片(T2I)、图片编辑(I2I)、多图融合、组图生成、并支持联网搜索等多种创作模式。
  • 提供在 IDBots 本地运行时的统一 CLI/脚本入口,便于在工作流中快速接入图片生成能力。
  • 使用场景包括产品创意草图、社媒内容创作、艺术设计探索等,需要快速由文字转图或对现有图像进行智能改造的任务。

Quick Start

输入一个清晰的提示词,调用 Seedream 脚本开始生成图片。

Frequently Asked Questions about seedream

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate AI images from text prompts locally?

To generate AI images from text prompts locally, you input a descriptive prompt into the Seedream script to run text-to-image generation within a local-first environment.

Can I use image-to-image editing and multi-image fusion in the same workflow?

Yes, image-to-image editing and multi-image fusion can be used in the same workflow, as the Seedream model unifies T2I, I2I, montage generation, and online search.

Do I need an ARK_API_KEY to run text-to-image generation?

Yes, you need an ARK_API_KEY to authenticate and access the API for running text-to-image generation, allowing configuration of models, sizes, and output options.

What is the best way to edit existing images using an AI model?

The best way to edit existing images using an AI model is utilizing the image-to-image editing mode, which intelligently modifies current images based on your descriptive prompts.

Does the multi-image montage generation support configurable output sizes?

Yes, multi-image montage generation supports configurable output sizes, running with adjustable models and output options to tailor the final generated images for your creative needs.

Are there limitations when running AI art generation in a local-first environment?

Running AI art generation in a local-first environment requires handling execution via local CLI or script entries, meaning you must manage the ARK_API_KEY authentication and model configurations yourself.