ChatGPT/Codex Plugin
Open Studio
MCP-ready today · plugin preview

LLAMAGEN FOR CHATGPT & CODEX

Make a comic book using ChatGPT and Codex

Describe the story in conversation, let the agent plan the comic, and use LlamaGen for panel generation, character continuity, and visual refinement—without writing integration code.

One prompt to start · Conversation-first

Read https://llamagen.ai/chatgpt. If this ChatGPT workspace supports custom MCP apps with write actions, connect LlamaGen's existing Comic MCP and help me make an editable comic book. If it does not, explain the current limitation and start the same brief in the LlamaGen editor instead.

Read the ChatGPT guide

Made a comic book using Codex? Keep the next version editable in LlamaGen.

ChatGPT & Codex + LlamaGen

Conversation controls. LlamaGen refines.

MCP connected

ChatGPT & Codex

New comic task

Turn my short story into an 8-panel cyberpunk comic. Keep the masked courier consistent and make the last panel a reveal.
1Planning page beats
2Locking character continuity
3Generating panels with LlamaGen
4Preparing an editable project
Returns generation IDs, panel assets, and an editable LlamaGen project.

LlamaGen editor

Cyberpunk Samurai · Page 01

Editable
Editable cyberpunk samurai comic project in LlamaGen
PanelsBubblesRefine

Hosted Comic MCP

Streamable HTTP endpoint is live

Four agent tools

Docs, create, status, and usage

API token access

Existing Settings → API workflow

Editable visual workflow

Generate with MCP, refine in LlamaGen

Three project proofs

Show the comic. Then explain the workflow.

Real LlamaGen project examples, each starting from a different intent and ending with assets that stay editable.

Cyberpunk samurai comic page generated as a LlamaGen project exampleProject 01

Story → 8-panel comic page

Cyberpunk Samurai

A compact story brief becomes a paced page with a clear reveal, cinematic framing, and a repeatable lead character.

Outcome: panel-ready visual story with an editable next pass

Vertical webtoon episode showing a LlamaGen educational comic workflowProject 02

Lesson → educational webtoon

The Science Club

Learning goals become a vertical narrative with age-appropriate dialogue, visual explanation, and a recap beat.

Outcome: classroom-friendly story structure and reusable panels

Product marketing storyboard and animation keyframe project created with LlamaGenProject 03

Product brief → marketing storyboard

Launch Day

A product message becomes a problem-to-benefit visual sequence that can be refined into social panels or an animatic.

Outcome: campaign narrative, shot plan, and editable assets

Verified delivery evidence

The output is the proof.

These are controlled LlamaGen delivery evaluations with the input, full-resolution output, first-delivery result, revisions, evidence hash, and known limitations preserved for review.

Exact settled provider cost and active human review time were not separately measured for these runs. Each full case discloses its review method and remaining defects.

Contact sheet showing all twelve original comic pages from the verified story-to-comic delivery
Case 01Aug 11, 2026

Script → complete comic

How a 2,000-word script became a 12-page comic

One original 2,150-word screenplay became a complete 12-page comic with 48 panels and 6 recurring characters.

Words in
2,150
Pages out
12
First delivery
68.8%

16 recorded revision events across 15 panels; complete PDF and CBZ retained.

SHA-256 111e16d6f5ba2b978e2b8460906bc81e3de74acafa3977a3b1a69693c3c58fc4

View full evidence
Original and final versions of page seven panel two shown side by side for a verified targeted comic revision
Case 02Aug 11, 2026

First delivery → targeted revision

AI first delivery, requested changes, and final delivery

A controlled change request targeted page 7, panel 2. The workflow redrew that panel, preserved the authored dialogue band, and kept every other page unchanged.

Kept unchanged
47/48
Panel redraw
1
Outside-lock pixels
0

97.9% delivered-version acceptance after one requested modification.

SHA-256 0ff2e3cef04a9239a476aa19e84371eda58ae6055eb84392628714235a6f09a7

View full evidence
Original-resolution contact sheet showing forty reviewed comic panels with eight recurring characters
Case 03Aug 11, 2026

Multi-character continuity

Eight recurring characters across 40 comic panels

8 registered characters made 80 appearances across 40 panels. Every appearance was reviewed against disclosed identity anchors.

Characters
8
Panels
40
First delivery
92.5%

3 targeted redraws; final 40/40 panels accepted.

SHA-256 98c7d95e7fe7663b99d3ae8f482ad6583c281c7a8a836d68d40e8c819ab1d636

View full evidence
Six workflow skills

Skills understand the job. LlamaGen still does the generation.

These are discoverable workflow recipes built on existing pages and MCP tools—not six new generation systems.

Narrative01

Story-to-Comic

Understand a story, choose its strongest beats, and orchestrate panels through LlamaGen.

Existing workflow
Pre-production02

Script-to-Storyboard

Read scripts or scene files, extract shots, and create a production-ready storyboard sequence.

Existing workflow
Continuity03

Character Bible

Turn references and notes into reusable character rules for consistent pages and episodes.

Existing workflow
Learning04

Educational Comic

Transform a lesson into a clear visual narrative with age, vocabulary, and learning goals intact.

Existing workflow
Growth05

Product Marketing Comic

Translate a product brief into a benefit-led comic for launches, onboarding, and social campaigns.

Existing workflow
Localization06

Manga Localization

Plan translation, bubble replacement, reading order, and localized delivery while preserving the artwork.

Existing workflow
Honest product boundary

One comic studio. Two working surfaces.

We do not claim you will never switch applications. The conversation is the control surface; the LlamaGen editor is where visual precision lives.

The conversation controls

The host model understands the brief, asks questions, plans the work, and decides which LlamaGen tool to call.

LlamaGen generates

Comic generation, character references, panel assets, task status, and usage remain LlamaGen capabilities.

The editor refines

Creators move into LlamaGen for layout, bubbles, panel-level edits, visual polish, and final delivery.

Zero-code creative direction

ChatGPT handles the brief, questions, and iteration. LlamaGen handles generation and the visual workspace.

Host model usage and LlamaGen credits stay separate

Host model usage covers conversation and reasoning. LlamaGen credits cover comic generation and related media operations.

Current route

Connect. Brief. Refine.

01

Connect existing MCP

Use the hosted endpoint and a LlamaGen API token. No new generation backend is required.

02

Give the creative brief

The host model understands the task, applies a workflow recipe, and calls the existing tools.

03

Refine in LlamaGen

Review the generated work in the visual product and make panel-level production edits.

Direct write-action MCP setup currently depends on ChatGPT plan and workspace permissions. Everyone can use the same brief in the LlamaGen editor.

Frequently asked

What is live—and what is not.

Can ChatGPT & Codex create comics with LlamaGen today?

It can when the ChatGPT plan and workspace expose custom MCP write actions. If not, use the same brief directly in LlamaGen.

Is this a marketplace plugin with one-click OAuth?

No. These pages document the MCP and agent workflows available now. They do not claim a public one-click plugin already shipped.

Where do I make detailed visual edits?

Use the LlamaGen editor for layout, speech bubbles, panel replacements, local polish, and final delivery.

Use LlamaGen from ChatGPT & Codex

Start with a prompt. Finish in a visual studio.

Copy the setup prompt, connect the capability available today, and keep every comic project editable in LlamaGen.

Read https://llamagen.ai/chatgpt. If this ChatGPT workspace supports custom MCP apps with write actions, connect LlamaGen's existing Comic MCP and help me make an editable comic book. If it does not, explain the current limitation and start the same brief in the LlamaGen editor instead.

Read the install guide