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dsh-plugin-aigc-canvas

A DSH AIGC canvas plugin with generation tools, session-scoped media, and an optional better-sidebar view.

UI & ProductivityDeveloper Tools
17GitHub Stars0ForksUpdated2026-09-24

Install

$ dsh plugin --profile web add @huanlin/dsh-plugin-aigc-canvas

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

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This installable DSH web plugin provides a node-and-link AIGC canvas for prompt, image, video, and audio artifacts. It exposes generation and canvas-inspection tools, persists each session’s canvas locally, and adds a better-sidebar canvas tab when that dependency is available.

Key Capabilities

  • Installs as @huanlin/dsh-plugin-aigc-canvas via the DSH plugin command.
  • Exposes text-to-image, text-to-video, first/last-frame-to-video, multi-reference-to-video, and text-to-audio tools.
  • Stores prompts and generated media as UUID-addressable canvas elements and automatically records dependency edges.
  • Provides a read-only tool to retrieve the current session canvas snapshot.
  • Offers an optional better-sidebar canvas tab with HTTP snapshot loading and WebSocket updates.
  • Persists canvas JSON and media files per session under .dsh-aigc-canvas.

Useful For

  • Track prompt-to-media relationships across an AIGC workflow.
  • Use generated images, video, or audio as references for later generation steps.
  • Inspect canvas elements and UUIDs during longer model tool sequences.
  • Browse session-scoped AIGC artifacts in a DSH sidebar canvas.

Who It Fits

  • DeepSeek Harness users running the web profile.
  • Users prototyping node-based image, video, and audio generation workflows.
  • DSH plugin developers integrating an AIGC backend implementation.

Documented Limitations

  • The current backend is a stub: it returns synthetic media for stub://aigc-backend and non-stub base URLs return a backend-error/HTTP 501.
  • The canvas uses a vertical flow rather than force-directed or DAG graph layout.
  • Edges are shown as chips above nodes rather than rendered SVG connections.
  • Elements cannot be deleted or edited; the documented reset method is deleting canvas.json and restarting the session.
  • The visual canvas requires dsh-better-sidebar; host-side tools and element storage remain available without it.
  • Requires Node.js 20 or later according to package engines.

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 2 runtime, 22 development, 15 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Not Declared

GitHub did not report an SPDX license for this repository snapshot.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
HuanLinOTO/dsh-plugin-aigc-canvas
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
53755f0 · 2026-09-27

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
17GitHub stars
Forks
0
Open issues
1
Last commit
2026-09-24
Last release
No release detected
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