Character Pipeline logo

Character Pipeline

Organization
palmier-io
character-pipeline

Builds consistent character stills in Palmier Pro — hero identity plate to seamless multi-angle sheet (bust and/or full-body) to environment plate to light-matched scene placement. Use when the same face must survive across stills, casting someone into a new environment, or photoreal identity lock before any later motion. Not for video prompting itself (hand off to video-prompting / cinematic-motion) and not for quick UGC talking-head anchors (use ugc-photo-prompts).

Overview

Publisherpalmier-io
Repositorypalmier-skills
Skill namecharacter-pipeline
Stars
82
Forks
10
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by palmier-io on GitHub. Read the source before you install it.

Installation

Install the Character Pipeline 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/palmier-io/palmier-skills/tree/main/skills/character-pipeline
  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/palmier-io/palmier-skills.git /tmp/palmier-skills
mkdir -p .claude/skills
cp -r /tmp/palmier-skills/skills/character-pipeline .claude/skills/character-pipeline
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Character Pipeline 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 Pipeline 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 Pipeline 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 Pipeline

This skill is stills-only. It builds reusable identity assets so the same person holds across plates and composites. If the user wants motion after that, hand off the approved scene still + sheets to video-prompting / cinematic-motion — do not own generate_video here.

Pipeline (hard order)

1. Hero still          generate_image (or import_media / user photo)
2. Multi-angle sheet   generate_image with referenceMediaRefs = [hero]
                       bust sheet default; optional full-body turnaround
3. Environment plate   generate_image — empty set, locked camera/light
4. Scene placement     generate_image: env plate + sheet (+ optional wardrobe)
5. Fidelity close-up   optional generate_image or capture_frame from the scene still

Do not skip to scene placement without an approved sheet. Reroll stills until lighting and identity pass.

Session gates

  • get_timeline → canGenerate
  • list_models({ type: "image" })
  • Propose each paid generation; wait for confirmation
  • Folders e.g. Character/Hero, Character/Sheets, Character/Scenes

Model picks

Confirm via list_models:

StepPrefer
Hero / sheet / env / scenegrok-imagine, gpt-image-2, or seedream-v5-pro (photoreal trio)

Prefer gpt-image-2 / seedream-v5-pro for any step that needs referenceMediaRefs if the current Grok build rejects refs. Trust each model's aspect/resolution enums from list_models.

Step 1 — Hero still

Clear identity plate. Prefer candid editorial over beauty-retouch.

Include: age/skin/hair/eyes/expression; simple stable wardrobe; repeatable light; skin texture preserved (pores — no smoothing).

Avoid: unrepeatable glam grade; extreme pose that fights the sheet; busy BG that leaks into identity.

If the user supplies a photo, import_media and skip generation.

Step 2 — Character sheet

generate_image with referenceMediaRefs: [heroMediaRef].

Head / bust sheet (default — identity lock)

  • 4 views in one continuous image, left → right: front, left profile, right profile, back of head
  • No white gutters, borders, frames, or panel dividers — seamless shared grey BG
  • Neutral light grey BG; even studio light; no color cast
  • Same crop, height, distance every view (chest-up / bust)
  • Identical simple wardrobe; neutral expression unless asked otherwise
  • Exact facial structure from hero
  • Detail emphasis: razor-sharp focus, pores/microtexture, hair strands, fabric weave — no soft blur / beauty mush
  • Clinical identity sheet — not fashion/editorial
  • No vignette, no grade, no text watermark

For GPT Image 2: quality: "high" and prefer 3840x2160 (or at least 2560x1440) when detail matters.

Full-body turnaround (optional — wardrobe / silhouette)

When scene placement needs legs, stance, or clothing behavior:

  • 4 full-body views in one continuous image — same no-gutter rules
  • Shared grey floor+BG; identical wardrobe; consistent height/stance
  • Head still matches hero; proportions consistent across views
  • Same detail emphasis; quality: "high" + high res when available

Keep both when useful: bust sheet for face lock; full-body for whole-figure staging.

Step 3 — Environment plate

Empty set only — no people. Lock camera, furniture, and lighting before the insert.

State practicals explicitly (window cool vs lamp warm, etc.) so scene placement has sources to match.

Step 4 — Scene placement still

Composite the character into the locked environment plate.

Preserve the entire scene exactly: <env elements>.
Do not alter camera angle, framing, perspective, or environment.

Insert the subject from the character reference sheet — <short identity anchors>.
Pose: <body contacts, gaze, expression>.
Wardrobe: <from clothing ref if any — fabric behavior in THIS pose>.
Anatomy fully correct — natural joints, no elongation, believable foreshortening.
Match the scene's existing light direction, color temperature, intensity, and softness
exactly — subject lit only by sources visible in the plate (no extra beauty key).
Warm/cool splits, falloff, and contact shadows must match furniture in the plate.
Skin texture preserved — no retouching.

referenceMediaRefs order: [environmentPlate, characterSheet, …] — state each ref's job in the prompt.

Environment plate wins on camera, set, and lighting. Sheet wins on face. If the insert looks beauty-lit or flatter than the plate, reroll with explicit dual-source / falloff language.

Identity lock block

Keep a short stable paragraph and paste into every later still prompt (update to the actual character):

Olive-warm skin, dark brown eyes, strong brow, full lips, high cheekbones,
defined jawline, long dark brunette hair with natural wave.
Natural skin texture — visible pores, no smoothing.

Consistency > poetry.

Wardrobe changes

  1. Neutral garment on the identity sheet when possible
  2. Separate clothing still via generate_image / import
  3. Scene placement binds fabric behavior to pose

Anti-patterns

  • Jumping to video from this skill (hand off instead)
  • Sheet panels with gutters or different light/crop → four different people
  • Soft / low-res sheets when face lock matters
  • Scene placement that “improves” the plate's camera or beauty-relights the subject
  • Rewording identity every call → slow face melt

Handoff (optional)

When stills are approved and the user wants motion: pass scene still + sheets to video-prompting / cinematic-motion. Suggested ref ranking for those skills: env/scene → sheet → face close-up — declared in their prompts, not here.

Frequently asked questions

What does the Character Pipeline AI skill do?

Builds consistent character stills in Palmier Pro — hero identity plate to seamless multi-angle sheet (bust and/or full-body) to environment plate to light-matched scene placement. Use when the same face must survive across stills, casting someone into a new environment, or photoreal identity lock before any later motion. Not for video prompting itself (hand off to video-prompting / cinematic-motion) and not for quick UGC talking-head anchors (use ugc-photo-prompts).

Why use Character Pipeline on TypingMind?

Because you install it once and use it with any model. Character Pipeline 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 Pipeline in TypingMind?

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

Which AI models can use Character Pipeline?

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 Pipeline?

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

Is the Character Pipeline AI skill free?

Yes. It is published on GitHub by palmier-io under the Apache-2.0 license. 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇