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server-resources

server-resources

Guides Krita AI Diffusion ComfyUI, cloud, managed server, backend, resource catalog, custom node, model, and URL troubleshooting tasks.

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Documentation de la Skill

GitHub

name: server-resources description: "Guides Krita AI Diffusion ComfyUI, cloud, managed server, backend, resource catalog, custom node, model, and URL troubleshooting tasks." disable-model-invocation: true metadata: disco-role: operating license: GPL 3.0

server-resources

Use this sub-skill when the task is about the plugin's local ComfyUI server, external ComfyUI connection, cloud service, model/resource catalog, custom nodes, backend selection, or server errors.

Trigger examples:

  • Normalizing or debugging ComfyUI URLs and WebSocket endpoints.
  • Explaining ComfyClient, CloudClient, ClientModels, Server, or ServerState behavior.
  • Checking required/optional custom nodes and resource catalog version.
  • Diagnosing missing checkpoints, LoRAs, control models, inpaint models, upscalers, or server install state.
  • Planning a managed server install/download/upgrade/uninstall safely.
  • Parsing common server startup errors without running the server.

Safe entry points

python scripts/list_krita_ai_diffusion_resources.py --summary
python sub-skills/server-resources/scripts/check_server_resources.py --summary
python sub-skills/server-resources/scripts/check_server_resources.py --parse-url localhost:8188

These commands inspect catalog/code facts and URL normalization only. They do not install ComfyUI, download models, start a server, connect to cloud, or run generation.

References

Boundaries

  • For payload shape after server resources are selected, route to inference-workflows.
  • For Graph workspace placeholder nodes and custom workflow metadata, route to custom-graphs.
  • For UI settings that store server mode, backend, URL, or authorization, route to ui-workspaces as well.
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