dsh-image2-draw
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dsh-image2-draw

JuneLearn/dsh-image2-draw

轻量级生图插件,借助第三方 OpenAI Images 兼容接口调用 gpt-image-2,仅需配置 baseURL 与 API Key 即可使用,支持自定义参数定制图片尺寸与质量,开箱即用,无需复杂鉴权流程

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JavaScript
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MIT
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1 个月前
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一键安装扩展 / 插件指令
dsh plugin --profile web add github:JuneLearn/dsh-image2-draw
git clone https://github.com/JuneLearn/dsh-image2-draw.git
git clone git@github.com:JuneLearn/dsh-image2-draw.git
README.md main

DSH Image2 Draw

Unable to generate images directly in DeepSeek Harness? This plugin adds Image2
generation through a third-party relay that exposes an OpenAI Images-compatible
API. Configure only a baseURL and an API Key, then use gpt-image-2 for
text-to-image and image-to-image tasks in chat.

中文说明

Third-party service recommendation (referral link)

If you are looking for an OpenAI-compatible API relay, you can take a look at
WPIronman API. This is my
referral link, and I may receive a referral benefit if you register through
it; any promotion or benefit is subject to the provider's current terms. This
plugin is independent of that service and does not require any particular
relay. Evaluate pricing, reliability, and privacy terms before choosing a
provider.

New users can redeem the gift quota with code 99F509ABC6C38F77.

Related project

Need independent reasoning-effort controls for third-party models in DeepSeek
Harness? See my other plugin:
DSH Reasoning Settings.
It configures reasoning levels, provider defaults, and API wire values for
custom providers and models.

Features

  • Adds an Image2 Draw card under Settings > Plugins > Configurable plugins.
  • Requires only a baseURL and an API Key; the default model is gpt-image-2.
  • Accepts a short base URL such as https://example.com/v1 and appends
    /images/generations automatically.
  • Derives the image-edit endpoint as /images/edits, with an optional explicit
    editURL override.
  • Provides image2-generate for 1-8 sequential text-to-image generations.
  • Provides image2-edit with 1-8 PNG, JPEG, or WebP reference images.
  • Supports adaptive portrait, landscape, and square sizes as well as validated
    custom dimensions.
  • Displays generated images directly in the conversation with a dedicated tool
    card for thumbnails, zoom, and Save As actions.
  • Resolves image attachments in the client card without injecting image content
    into DeepSeek model context that does not support vision input.
  • Also saves images under outputs/image2/ in the current session working
    directory and numbers duplicate names instead of overwriting files.
  • Stores API keys only in DSH credentials. Keys never enter the regular settings
    document and are never returned by the plugin state endpoint.
  • Validates settings writes, response sizes, timeouts, and input images. HTTP 524
    and timeout failures are not retried automatically, preventing duplicate
    charges when the upstream service has already generated an image.

Live demo

In-conversation result

Image2 in-conversation result

Plugin settings

Image2 plugin settings

Installation

Prerequisites

  • Install Node.js. DSH currently supports Node.js 22.19.x
    or version 24 and newer; Node.js 24 LTS is recommended. Node.js includes npm
    and npx.
  • Install Git so the plugin can be fetched from GitHub.
  • Install pnpm. Both methods require pnpm because dsh plugin invokes it in the
    profile directory to install or remove plugins.
  • Your network must reach registry.npmjs.org and github.com. Configure a
    working network proxy if npm or GitHub is unavailable or unstable.
  • Method 1 does not require a DeepSeek Harness source checkout. Method 2
    additionally requires that checkout.

Check the basic environment first:

node --version
npx --version
git --version
corepack enable
pnpm --version

If corepack enable fails with a permission error, run it once from an
Administrator PowerShell. Alternatively, use another option from the
pnpm installation guide.

If downloads remain on a spinner or fail with ECONNRESET, ETIMEDOUT, or a
GitHub connection error, set a proxy for the current PowerShell window. Port
7890 is only an example; replace it with your proxy's actual port:

$proxy = "http://127.0.0.1:7890"
$env:HTTP_PROXY = $proxy
$env:HTTPS_PROXY = $proxy
$env:npm_config_proxy = $proxy
$env:npm_config_https_proxy = $proxy

These variables only affect the current PowerShell window and disappear when it
is closed.

Method 1: npx (recommended for regular users)

This method does not require a DeepSeek Harness source checkout or a global
dsh installation, but Git and pnpm must already be available. On its first
run, npx downloads @deepseek-ai/dsh and its dependencies, which can take
several minutes:

npx --yes -p @deepseek-ai/dsh dsh plugin --profile web add github:JuneLearn/dsh-image2-draw

Start Web through the same package runner after installation:

npx --yes -p @deepseek-ai/dsh dsh web

Method 2: pnpm with the Harness source tree (recommended for developers)

Use this method if you already cloned deepseek-harness and want to run its
source directly. First confirm pnpm is available:

pnpm --version

Enter the DeepSeek Harness source root. Install its dependencies once, then
install the plugin:

cd D:\deepseek-harness
pnpm install
pnpm dsh plugin --profile web add github:JuneLearn/dsh-image2-draw

Start Web from that source directory afterward:

cd D:\deepseek-harness
pnpm dsh web

The package's dsh.bundle declaration adds the plugin to the Web profile
automatically. Neither method requires editing cordis.patch.yml. Web listens
on http://127.0.0.1:3080 by default; it uses another port only when the default
is occupied or you explicitly select one.

Upgrade

Run the corresponding install command again to upgrade. No uninstall or
profile-patch maintenance is required.

npx method:

npx --yes -p @deepseek-ai/dsh dsh plugin --profile web add github:JuneLearn/dsh-image2-draw

pnpm source method:

cd D:\deepseek-harness
pnpm dsh plugin --profile web add github:JuneLearn/dsh-image2-draw

Uninstall

npx method:

npx --yes -p @deepseek-ai/dsh dsh plugin --profile web remove dsh-image2-draw

pnpm source method:

cd D:\deepseek-harness
pnpm dsh plugin --profile web remove dsh-image2-draw

DSH removes both the dependency and its bundle layer. Restart dsh web; the
Image2 Draw card and image-generation tools are removed.

Usage

  1. Open Settings > Plugins > Configurable plugins > Image2 Draw.
  2. Enter the API key supplied by your relay.
  3. Enter the relay endpoint, for example https://example.com/v1.
  4. Adjust the model, edit endpoint, or timeout if needed; the defaults normally
    work without changes.
  5. Click Save and wait for the Saved status.
  6. Start a new session and ask the model to call image2-generate, or provide
    reference image paths and use image2-edit.

Example prompts:

Call image2-generate to create a portrait cinematic poster of a future city at high quality.
Call image2-edit with D:\images\room.png and restyle the room with light Japanese wood while preserving the layout.

Support for gpt-image-2, image editing, custom dimensions, and quality levels
depends on the relay implementation. If the API returns HTTP 400 or 404, check
the provider's model name and Images endpoint documentation.

Image and request limits

  • Text-to-image accepts a count from 1 to 8 and sends one upstream request at a
    time.
  • Image editing accepts 1-8 reference images, up to 4MB each and 32MB total.
  • Reference images must be PNG, JPEG, or WebP. Their format is detected from
    magic bytes rather than trusted filename extensions.
  • Relative reference paths resolve from the current session working directory.
  • The default timeout is 180 seconds and the configurable range is 1-3600
    seconds.
  • Generated results must be PNG, JPEG, or WebP. Remote image downloads are
    limited to 32MB.

Development

npm install
npm test

Compatibility

Built against the public dual-end plugin, settings namespace, credentials, tool
registration, client slot, and WebServer lifecycle interfaces of DeepSeek
Harness 0.1.0-rc.6. Harness is still in Developer Preview; if the plugin stops
loading after an upgrade, check these interfaces and the dsh.client.inject
declaration.

Acknowledgements

Parts of the in-conversation attachment and dedicated tool-card implementation
were adapted from the MIT-licensed
dsh-multimodal. See
THIRD_PARTY_NOTICES.md for the complete third-party
copyright and license notice.

License

MIT