DSH Image2 Draw (gpt-image-2 generation plugin)

Adds Image2 (gpt-image-2) generation to DeepSeek Harness: text-to-image and image-to-image through any OpenAI Images-compatible relay API. Configure only a baseURL and an API Key, and generated images appear directly in the conversation (thumbnails, zoom, Save As) while also landing in outputs/image2/.

Community fork — this repository is a maintained fork of the MIT-licensed JuneLearn/dsh-image2-draw with gateway-compatibility fixes (see Fork changes). Upstream copyright and license are preserved in LICENSE.

Quick install — pick one line and run it in your terminal:

# Already running DSH (web profile):
dsh plugin --profile web add github:oebeliever/dsh-image2-draw

# Brand-new machine, one click (auto-installs Node/pnpm/DSH):
# Windows PowerShell:
irm https://raw.githubusercontent.com/oebeliever/dsh-image2-draw/main/install.ps1 | iex
# macOS / Linux:
curl -fsSL https://raw.githubusercontent.com/oebeliever/dsh-image2-draw/main/install.sh | bash

Then restart DSH (dsh web), open Settings → Plugins → Plugin config → Image2 生图, enter the API Key and baseURL of any OpenAI-Images-compatible relay (e.g. https://example.com/v1, /images/generations is appended automatically), and ask the AI to call image2-generate. 中文说明

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Features

• Adds an Image2 Draw settings card under Settings → Plugins → Plugin config.
• Requires only a baseURL and an API Key; default model is gpt-image-2.
• Multiple endpoints with automatic failover — up to 8 relays; when one fails with a network error / timeout / 401 / 402 / 403 / 404 / 429 / 5xx, the next is used automatically.
• The same repo is also a Claude Code plugin — skills/image2-draw provides the skill, sharing one core implementation with the DSH plugin.
• Accepts a short base URL like https://example.com/v1 and appends /images/generations automatically.
• Derives the image-edit endpoint as /images/edits (optional explicit editURL).
• image2-generate — text-to-image, 1–8 images, sequential requests (no concurrency).
• image2-edit — image-to-image with 1–8 PNG / JPEG / WebP reference images.
• Quality levels low / medium / high / auto (depends on relay support).
• In-conversation tool card with thumbnails, zoom and Save As; files also saved to outputs/image2/image2-<timestamp>[-N].<ext>, auto-numbered on name collision.
• Chat-dock studio (🎨 above the input box): text-to-image, image-to-image with click/drag-drop upload, and a multi-view character mode — upload 2–8 photos of the same person from different angles and generate new shots that keep the person's face, build and hairstyle consistent (multi-source-image edits semantics).
• Sizes: adaptive from prompt keywords, auto passthrough, gateway-friendly presets (1024x1024 / 1536x1024 / 1024x1536 / 3840x2160 …) and validated custom WIDTHxHEIGHT (16px multiples, ≤ 3840 edge, 655,360–8,294,400 px², ratio ≤ 3:1).
• API key stored in DSH credentials only — never in the plain settings document and never returned by the plugin state endpoint. (Or set the IMAGE2_API_KEY env var.)
• Validates settings writes, response sizes, timeouts and input images; HTTP 524 and timeouts are not auto-retried, avoiding duplicate upstream charges.

Fork changes

v0.2.1 (preset library)

• Built-in templates: character-design Sheet A (face close-up + shirtless physique + outfit action pose) and Sheet B (outfit-on-body wear crops) prompts with a {outfit} variable; the multi-view → per-outfit sheets (confirm each) flow; the six-outfit list (zh/en) derived from the reference photos.
• User presets persist to ~/.dsh/storages/image2-draw/presets.json; the 🎨 studio gains a 📚 template bar: load presets with variable filling, save the current prompt as a template, preview/copy flow & list bodies, delete user presets.
• New chat tool image2-preset (list / get / save) so the agent can reuse templates — e.g. run the character-design flow one sheet at a time, waiting for user confirmation between sheets.

v0.2.0

• Size handling aligned with OpenAI Images spec used by common relays (e.g. zzz / OpenAI-compatible gateways): auto is passed through as-is; portrait/landscape presets moved from 768x1024/1024x768 to gateway-safe 1024x1536/1536x1024; documented presets 1024x1024 / 1536x1024 / 1024x1536 / 3840x2160 short-circuit validation and go straight to the API.
• /images/edits now always sends repeated standard image fields for multiple source images (previously a non-standard image[] field for >1 image). This matches the OpenAI multi-source-image semantics and unblocks multi-view character consistency (several photos of the same person → one new image of that person). refs also accepts conversation attachment ids (sha256:…) directly — the plugin reads them from the attachment store, no local paths or vision tool needed.
• New chat-dock 🎨 studio (conversation.input.dock): text-to-image / image-to-image / multi-view character tabs, click & drag-drop upload with previews, an "assemble consistency prompt" helper, background task + polling, and result gallery with Save As. Studio results live in ~/.dsh/storages/image2-draw/library/ (survives restarts), independent from conversation-tool outputs.
• Clearer "no key / wrong group" message (keys must belong to the relay's Image group when the relay separates models by token group).

v0.1.1 (vs upstream v0.1.0)

• Removed the non-standard output_format field from the generations payload — some OpenAI-compatible gateways reject it (standard params only: model/prompt/size/quality/n).
• redirect: 'manual' with clear diagnostics for 3xx responses, including a dedicated message for upstream region-unavailable (e.g. mainland-China IP blocked — switch to an overseas proxy node or another relay).
• Friendlier "not valid JSON" errors that include the actual upstream snippet (gateway error page / region block page / wrong baseURL).
• Fixed the settings-card slot registration (key: 'image2-draw') so the card loads reliably on current Harness client versions.

Prerequisites

• Node.js — DSH supports Node 22.19.x or ≥ 24 (24 LTS recommended).
• Git — to fetch plugins from GitHub.
• pnpm — dsh plugin runs pnpm in the profile directory (corepack enable is enough).
• Network access to registry.npmjs.org and github.com. From restricted networks, set HTTP_PROXY / HTTPS_PROXY (and npm_config_proxy) in the current shell.

Installation

Method A — brand-new machine, one click

Windows PowerShell:

irm https://raw.githubusercontent.com/oebeliever/dsh-image2-draw/main/install.ps1 | iex

macOS / Linux:

curl -fsSL https://raw.githubusercontent.com/oebeliever/dsh-image2-draw/main/install.sh | bash

The script checks Node.js (installs the LTS via winget on Windows if missing), enables pnpm, globally installs @deepseek-ai/dsh when absent, adds this plugin to the web profile, then prints the startup guide.

Method B — DSH already installed, one command

dsh plugin --profile web add github:oebeliever/dsh-image2-draw

Restart DSH afterwards (dsh web); the plugin auto-joins the profile bundle layer via its dsh.bundle declaration — no manual patch editing.

Method C — no global install, via npx (first run is slower)

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

Launch the same way afterwards: npx --yes -p @deepseek-ai/dsh dsh web.

Upgrade & uninstall

Upgrade = re-run the same install command (fetches the latest commit), then restart dsh.

Uninstall:

dsh plugin --profile web remove dsh-image2-draw

Restart dsh web; the card and tools disappear (images already saved to outputs/image2/ are kept).

Claude Code installation

This repo doubles as a Claude Code plugin (sharing lib/core.js with the DSH plugin).

Option 1 — plugin marketplace (recommended)

/plugin marketplace add oebeliever/dsh-image2-draw
/plugin install image2-draw@dsh-image2-draw

Option 2 — copy the skill only: put skills/image2-draw/ into ~/.claude/skills/ (all projects) or <project>/.claude/skills/ (one project).

Option 3 — DSH already configured: nothing to do; the skill falls back to DSH's baseURL and credentials.

Multi-endpoint config lives in ~/.claude/image2-draw.json:

{ "timeoutSeconds": 900,
  "endpoints": [
  { "name": "primary", "baseURL": "https://api.example.com/v1", "apiKey": "sk-…", "model": "gpt-image-2" },
  { "name": "backup", "baseURL": "https://backup.example.com/v1", "apiKeyEnv": "IMAGE2_API_KEY_B" }
] }

The endpoint shape and failover rules match the DSH side. Note apiKeyEnv means different things on each side: here it is an environment-variable name (so keys can stay out of the file); on the DSH side it is a credential-store reference. When falling back to DSH settings only the flat single-endpoint fields are read — use the JSON file or env vars for multiple endpoints.

Usage (just talk to Claude Code):

Use image2-draw to turn this photo into a cartoon figurine: C:\path\to\photo.jpg
Generate a chibi shiba-inu figurine image, square, high quality

Usage

1. Settings → Plugins → Plugin config → Image2 生图.
2. Fill in API Key and baseURL (e.g. https://example.com/v1) from your relay.
3. Adjust model / edit endpoint / timeout only if needed; defaults usually work.
4. Save, start a new session, and ask the model to call image2-generate, or pass reference-image paths to image2-edit.
5. Prefer the graphical way for image inputs: open the 🎨 Image2 生图工作台 above the input box, pick a tab (文生图 / 图生图 / 多视角人物), drop images in and generate.

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.

Whether the relay actually supports gpt-image-2, editing, custom sizes and quality levels is up to the provider. HTTP 400 / 404 → check the provider's model name and Images endpoint format. Size errors → most gateways accept only auto / 1024x1024 / 1536x1024 / 1024x1536 / 3840x2160; pick a preset instead of a custom WIDTHxHEIGHT. region-unavailable → the relay blocks your exit IP region; switch to an overseas proxy or another provider.

Multiple endpoints with automatic failover

Configure up to 8 endpoints in Settings → Plugins → Plugin config. They are tried in order; when one fails with network error / timeout / 401 / 402 / 403 / 404 / 429 / 5xx (including 524), the next one is used automatically. Parameter errors such as HTTP 400 never trigger a switch (401/402/403/404/429 still do) — another endpoint would fail identically.

• Each endpoint has its own credential reference (IMAGE2_API_KEY, IMAGE2_API_KEY_2, …) and optional model.
• A failing endpoint is moved to the back: the next request starts from the endpoint that last succeeded.
• If the fallback later fails, the primary is retried automatically (self-healing).
• Set IMAGE2_NO_ROTATE=1 to disable this memory and always start from the first endpoint.

⚠️ A 524/timeout means the upstream may still have generated an image, so failing over can double-bill. When every endpoint fails, the error message says so explicitly; a failover that ends in success carries no extra warning — decide accordingly before regenerating.

⚠️ Always reference keys through credentials (apiKeyEnv) — never use the apiKey field. A literal apiKey lives server-side only: the settings panel can neither see nor edit it, and editing the endpoint list in the panel replaces the whole array, silently dropping any hand-written literal (generation then fails with "no key configured"). Need several keys? Create several credential refs: IMAGE2_API_KEY, IMAGE2_API_KEY_2, …

Limits

• Text-to-image: 1–8 images per call, sent one by one.
• Image-to-image: 1–8 reference images, ≤ 4MB each, ≤ 32MB total.
• References must be PNG / JPEG / WebP; real format is sniffed from magic bytes.
• Relative reference paths resolve against the current session working directory.
• Default timeout 180 s (configurable 1–3600 s); remote result download ≤ 32MB.

Development

node --check lib/index.js
node --check lib/client.js

Unit tests (node tests/plugin.test.mjs) import the @deepseek-ai/* runtime peer packages, so run them inside an environment where those are installed — a DSH profile's node_modules or a Harness source workspace — rather than in a bare checkout.

Acknowledgements

Original plugin by JuneLearn (MIT). Parts of the in-conversation attachment and tool-card implementation were adapted from the MIT-licensed dsh-multimodal — see THIRD_PARTY_NOTICES.md.

License

MIT — upstream © 2026 JuneLearn; fork © 2026 oebeliever.