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document-image-state

document-image-state

Guides Krita AI Diffusion document, layer, region, Image, Mask, Bounds, prompt, style, metadata, and persistence state tasks.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill-Dokumentation

GitHub

name: document-image-state description: "Guides Krita AI Diffusion document, layer, region, Image, Mask, Bounds, prompt, style, metadata, and persistence state tasks." disable-model-invocation: true metadata: disco-role: operating license: GPL 3.0

document-image-state

Use this sub-skill when the task is about Krita document/layer state, image and mask helpers, prompt/style processing, LoRA tags, regions, persistence, or how canvas data enters/leaves workflows.

Trigger examples:

  • Converting between Krita pixel data and ai_diffusion.image.Image, Mask, Bounds, Extent, or ImageCollection.
  • Debugging active selection, layer bounds, region masks, control layers, or apply behavior after generation.
  • Understanding prompt comments, {wildcards}, <lora:name:weight>, <layer:name> tokens, style prompt merge, negative prompt merge, or PNG metadata.
  • Working with Style, Styles, sampler presets, settings JSON, document persistence, or observable persisted properties.

Safe entry point

python sub-skills/document-image-state/scripts/inspect_prompt_style.py --prompt "cat <lora:fur:0.6> # note" --style-prompt "cinematic {prompt}" --lora-id fur --metadata

The helper analyzes prompt/style behavior offline. It does not launch Krita, connect to ComfyUI, read private images, download models, or run generation.

References

Boundaries

  • For final request dataclasses and workflow cost/pass behavior, route to inference-workflows.
  • For UI controls and workspace state that decide when document data is collected, route to ui-workspaces.
  • For custom graph placeholders that request layers/masks/canvas data, route to custom-graphs too.
Gespeicherte Skills