kg

AI Art Knowledge Graph (KG)

A structured hub connecting anime, comic, and visual style topics with techniques, workflows, tools, and prompt guidance. Use this map to move from inspiration to production.

Updated

Nov 18, 2025

Cluster path

/anime/kg

Graph links

12 cross-links

Tags
knowledge graph
taxonomy
ai art
anime
comic
visual styles
prompting
workflows
stable diffusion
comfyui
controlnet
lora
family:style
Graph explorer

What the Knowledge Graph Covers

This hub maps core entities used in AI-generated art: styles (anime, manga, western comics), techniques (lineart, screentones, cel shading), workflows (txt2img, img2img, inpainting), tools (Stable Diffusion, ComfyUI, ControlNet, LoRA), and prompt patterns. Each node links to related topics, recommended parameters, and example outputs.

  • Discover styles with example prompts and parameter ranges
  • Jump to compatible workflows and tools
  • Follow influences and related techniques

How to Use This Hub

Start from a style or technique, then branch into suggested workflows and tools. Use internal links to compare options and copy prompt templates. Each connected page shows practical settings, pitfalls, and before/after examples.

  • Browse by family: Anime, Comic, or Style techniques
  • Open a workflow and copy a ready-to-run template
  • Track compatible models, LoRAs, and ControlNet settings

Core Entities in the Graph

Styles: anime variants, manga lineart looks, western comic aesthetics. Techniques: cel shading, screentones, speed lines, halftone, line weight control. Workflows: txt2img baseline, img2img style transfer, inpainting for panels, upscaling and cleanup. Tools: Stable Diffusion, ComfyUI, A1111, ControlNet modules, LoRA training. Parameters: CFG guidance, denoise strength, steps, samplers, negative prompts.

  • Styles and substyles with influences and references
  • Technique pages with step-by-step settings
  • Workflows linking tools, nodes, and checkpoints

Popular Navigation Paths

These common routes show how to move from idea to output while staying consistent across anime and comic styles.

  • Anime style → Cel shading → ComfyUI pipeline → ControlNet pose
  • Manga lineart → Screentone shading → Inpainting panels → Print-ready export
  • Western comic look → Dynamic composition → Speed lines → Color grading
  • Character concept → LoRA assist → Img2img refinements → Negative prompt cleanup

Decision Aids and Parameters

Each node highlights proven settings and trade-offs. Expect typical sampler choices, CFG ranges for line clarity vs. creativity, denoise strength for style transfer fidelity, ControlNet weights for pose adherence, and LoRA strengths for character consistency.

  • CFG and sampler suggestions per style
  • Denoise and strength ranges for img2img
  • ControlNet weights and preprocess tips

Quality and Consistency Signals

Pages in this graph emphasize reproducibility: versioned prompts, seed control when useful, reference images or style boards, and pitfalls to avoid (line breakage, over-sharpened screentones, color banding).

  • Versioned prompt templates
  • Before/after with seeds and parameters
  • Common failure modes and fixes

Contribute or Request a Topic

Suggest missing styles, techniques, or workflows. Provide sample prompts, settings, and example outputs so the graph can link your contribution across related topics.

  • Propose a new style or technique
  • Share a reproducible workflow
  • Report outdated settings for update

Topic summary

Condensed context generated from the KG.

The KG organizes AI art knowledge into connected nodes: styles, techniques, workflows, tools, models, and prompt patterns. Navigate clusters to find reliable, repeatable results for anime and comic creation.