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custom-graphs

custom-graphs

Guides Krita AI Diffusion Graph workspace custom ComfyUI workflows, ETN Krita placeholders, parameter metadata, outputs, live mode, and animation tasks.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: custom-graphs description: "Guides Krita AI Diffusion Graph workspace custom ComfyUI workflows, ETN Krita placeholders, parameter metadata, outputs, live mode, and animation tasks." disable-model-invocation: true metadata: disco-role: operating license: GPL 3.0

custom-graphs

Use this sub-skill when the task is about importing, validating, parameterizing, or running custom ComfyUI workflows through the Krita AI Diffusion Graph workspace.

Trigger examples:

  • A user has a ComfyUI workflow.json and wants to know which Krita UI controls will be generated.
  • Debugging ETN placeholder nodes such as ETN_KritaCanvas, ETN_KritaOutput, ETN_Parameter, ETN_KritaImageLayer, ETN_KritaMaskLayer, ETN_KritaStyle, or ETN_KritaStyleAndPrompt.
  • Explaining workflow_parameters, CustomParam, ParamKind, grouped order, custom workflow save/import/overwrite behavior, or document-embedded graphs.
  • Diagnosing custom Graph validation warnings, live custom generation, or animation mode.

Safe entry point

python sub-skills/custom-graphs/scripts/inspect_custom_workflow.py workflow.json

The helper parses a workflow JSON file statically and does not connect to ComfyUI, load models, launch Krita, or run generation.

References

Boundaries

  • For the final WorkflowInput(kind=custom) payload and image request fields, route to inference-workflows.
  • For server-side availability of ETN custom nodes and model resources, route to server-resources.
  • For document/layer/mask/image semantics used by placeholders, route to document-image-state.
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