Character Design logo

Character Design

Organization
fal-ai-community
character-design

Build consistent character designs and character media with genmedia. Use this for original characters, reference sheets, expression sheets, outfit variations, identity-preserving edits, and character-to-video workflows.

Overview

Publisherfal-ai-community
Repositoryskills
Skill namecharacter-design
Stars
255
Forks
35
Bundled files
3
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by fal-ai-community on GitHub. Read the source before you install it.

Installation

Install the Character Design AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/fal-ai-community/skills/tree/main/skills/character-design
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/fal-ai-community/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/character-design .claude/skills/character-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Character Design in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Character Design on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Character Design is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Character design with genmedia

Use this skill when the user wants to create, refine, or preserve a character. Load the reference files when needed:

  • references/anchor-system.md
  • references/prompt-patterns.md
  • references/examples.md

Load model-routing alongside this skill for default endpoint choices.

The main objective is consistency. Keep the character anchor stable and change only the requested scene, expression, outfit, camera, or action.

Inputs to collect

Only ask for missing inputs that affect identity or model routing.

  • Character type: realistic human, stylized, anime, mascot, fantasy, sci-fi.
  • Identity anchor: age range, face shape, hair, eyes, build, posture, marks.
  • Style: photographic, 3D, illustration, manga, comic, game concept art.
  • Needed outputs: portrait, full body, turnaround, expression sheet, outfit set, action still, video shot, edit of an existing character.
  • References: source image, approved design, costume, pose, style board.
  • Consistency level: exploratory, pitch-ready, production continuity.
  • Model preference: use model-routing defaults unless the user names a model or the job needs a quality/cost tradeoff decision.

Genmedia workflow

  1. Start from routed endpoint IDs.

    bash
    genmedia models --endpoint_id openai/gpt-image-2 --json
    genmedia models --endpoint_id fal-ai/nano-banana-pro/edit --json
    genmedia models --endpoint_id bytedance/seedance-2.0/image-to-video --json
    genmedia models --endpoint_id veed/fabric-1.0 --json

    Use text search only as fallback discovery for an unsupported role:

    bash
    genmedia docs "consistent character generation" --json
    genmedia models "image editing character consistency" --json
  2. Inspect schema before each endpoint run.

    bash
    genmedia schema <endpoint_id> --json
    genmedia pricing <endpoint_id> --json
  3. Upload references.

    bash
    genmedia upload ./character-reference.png --json
    genmedia upload ./costume-reference.png --json
  4. Run stills or sheets with download.

    bash
    genmedia run <endpoint_id> \
      --prompt "<anchor + variable prompt>" \
      --image_url "<reference url if supported>" \
      --download "./outputs/characters/{request_id}_{index}.{ext}" \
      --json
  5. Run video async.

    bash
    genmedia run <endpoint_id> \
      --prompt "<anchor + shot action>" \
      --image_url "<approved character frame if supported>" \
      --async \
      --json
    
    genmedia status <endpoint_id> <request_id> \
      --download "./outputs/characters/{request_id}_{index}.{ext}" \
      --json

Use only schema-supported fields. If the model supports seed, reference image, image strength, multiple image inputs, or negative prompt, use them deliberately and record what was used.

Character anchor

Create a short immutable anchor before generating.

text
CHARACTER ANCHOR:
[name or codename], [age range], [face shape], [eye shape and color],
[nose and lips], [skin tone and distinguishing marks], [hair color, texture,
style], [body build and posture], [signature clothing or silhouette],
[style target]

Then add a variable block for the current shot.

text
SHOT VARIABLE:
[expression], [pose/action], [outfit changes if allowed], [environment],
[camera/framing], [lighting], [mood]

Never rewrite the anchor casually. If a result changes identity, strengthen the anchor or switch to a reference/edit workflow instead of adding more style words.

Model routing

  • New character concept with maximum consistency: use openai/gpt-image-2.
  • Premium but cheaper image option: use fal-ai/nano-banana-pro or fal-ai/nano-banana-2.
  • Fast exploratory drafts: use fal-ai/flux-2/klein/9b.
  • Consistent sheet from an approved character: use openai/gpt-image-2 first; if editing an existing image, inspect openai/gpt-image-2/edit.
  • Outfit variations and character edits: use fal-ai/nano-banana-pro/edit, then openai/gpt-image-2/edit, then fal-ai/bytedance/seedream/v5/lite/edit.
  • Expression sheet: one approved face reference, multiple controlled expression prompts.
  • Character video: approved still frame first, then bytedance/seedance-2.0/image-to-video for final quality.
  • Fast video drafts: use xai/grok-imagine-video/image-to-video.
  • Talking avatar or lip-sync: use veed/fabric-1.0, veed/fabric-1.0/text, or fal-ai/creatify/aurora.

Quality bar

Reject or retry when:

  • Face shape, eye spacing, hairstyle, marks, or body build drift.
  • Outfit changes when the prompt says only expression or pose should change.
  • The sheet mixes styles across panels.
  • Hands or props distract from the requested design task.
  • Video motion changes age, face, costume, or silhouette.

Return downloaded paths and include the anchor used so future prompts can reuse the same identity.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Character Design AI skill do?

Build consistent character designs and character media with genmedia. Use this for original characters, reference sheets, expression sheets, outfit variations, identity-preserving edits, and character-to-video workflows.

Why use Character Design on TypingMind?

Because you install it once and use it with any model. Character Design is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Character Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fal-ai-community/skills/tree/main/skills/character-design. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Character Design?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Character Design?

As many as you like. As long as a model supports skills, you can use Character Design with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Character Design AI skill free?

It is published on GitHub by fal-ai-community. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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