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dsh-plugin-aigc-canvas

Node-based AIGC canvas and generation toolset for DeepSeek Harness sessions.

UI & ProductivityDeveloper Tools
18GitHub Stars0ForksUpdated2026-09-30

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.

source-grounded
dsh-plugin-aigc-canvas provides a node-based infinite canvas integrated into DeepSeek Harness. It exposes tools for text-to-image, text-to-video, first/last frame video generation, multi-reference video generation, and audio generation. Every prompt and generated media artifact is tracked as a UUID-addressed canvas element with automated dependency linking and session persistence.

Key Capabilities

  • Exposes text-to-image, text-to-video, first/last-frame video, multi-reference video, and audio generation tools
  • Maintains an in-session node-and-edge canvas registry tracking prompts and media assets
  • Persists canvas topology and generated media assets per session under .dsh-aigc-canvas/
  • Provides a real-time sidebar tab via better-sidebar with WebSocket canvas synchronization
  • Supports customizable backend endpoints and API credential references

Useful For

  • Visualizing multi-step AIGC generation pipelines directly within the DSH sidebar
  • Generating chained visual media where outputs serve as references or frame anchors for subsequent generations
  • Tracking generation lineage between prompts and output media artifacts in DeepSeek sessions

Who It Fits

  • DeepSeek Harness users orchestrating visual or multimodal generation workflows
  • Developers building chained AIGC pipelines with automated prompt and artifact tracking

Documented Limitations

  • Currently uses a stub backend by default returning synthetic bytes; real remote backend integration requires custom endpoint implementation
  • Canvas layout is currently rendered as a vertical flow with chip references rather than full SVG/DAG graphs
  • Elements cannot be individually deleted or edited through tools (resetting requires clearing the session storage)
  • UI visualization depends on dsh-better-sidebar to render the sidebar tab

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.

info
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
ef69f6b · 2026-09-30

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
18GitHub stars
Forks
0
Open issues
1
Last commit
2026-09-30
Last release
No release detected
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