Manga Studio

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

WeightsClosed

About

Manga Studio is ranked #5 of 25 in AI comic generators on Inferse. It runs on Linux, Self-hosted, Web, Windows.

Compared on AI comic generators

Free plan: Yesgithub.com
Script to panels: Yesgithub.com
Character consistency: Yesgithub.com
Page layouts: Yesgithub.com
Reference images: Yesgithub.com
Commercial use: Yesgithub.com
Export formats: pnggithub.com

Facts

Purpose: Manga Studio is a local-first AI manga production pipeline that turns a premise into fully lettered manga pages.github.com · 29 Sept 2026
Web studio: Its FastAPI and vanilla JavaScript web studio includes AI script writing, a render queue, a page gallery, panel regeneration, crop-based inpainting, speech bubble layout, and layer compositing.github.com · 29 Sept 2026
Layered panels: Multi-character scenes can be rendered as a background plate and character cutouts, which can be exported, replaced, or regenerated independently.github.com · 29 Sept 2026
Character tools: Character consistency features include identity and outfit tags, LoRA support, regional prompting, IPAdapter reference images, and drift-protection negatives.github.com · 29 Sept 2026
GPU orchestration: It can run two ComfyUI backends with independent queues, while vision-model quality checks run on one GPU and the other renders.github.com · 29 Sept 2026
Writing tools: Writing tools include prompt templates, delta panel syntax, page-filtered editing, and chat-based script edits with history.github.com · 29 Sept 2026
Quality features: Its quality workflow includes best-of-N takes with automatic scoring, WD14 tag checks, vision-model verdicts, high-resolution fixes, detailers, and seam-fixed upscaling.github.com · 29 Sept 2026
Integrations: The documented pipeline uses ComfyUI for image generation and local language models through LM Studio, with optional cloud-GPU burst.github.com · 29 Sept 2026
Requirements: The project requires Python 3.9 or later and a running ComfyUI installation with an Illustrious-XL or NoobAI-XL family checkpoint; it says no custom ComfyUI nodes are needed.github.com · 29 Sept 2026
Model limit: The workflow supports SDXL, Illustrious, and NoobAI-family checkpoints, while Anima checkpoints and video models such as LTX and WAN are incompatible.github.com · 29 Sept 2026
Known limitation: In multi-character panels, SDXL may blend character traits; the README says character LoRAs can reduce this issue.github.com · 29 Sept 2026
Local processing: The README describes generation as running on local hardware, including AMD GPUs via ComfyUI and local LLMs via LM Studio, with optional cloud-GPU burst.github.com · 29 Sept 2026
License: The repository includes an MIT license.github.com · 29 Sept 2026
Demo limitation: The README says its displayed pipeline page is from no-GPU dry-run mode, using placeholder art while demonstrating script parsing, lettering, and page assembly.github.com · 29 Sept 2026
Purpose: Manga Studio is a local-first AI manga production pipeline that turns a premise or structured script into lettered manga pages.github.com · 30 Sept 2026
Web studio: Its FastAPI and vanilla JavaScript web studio offers AI script generation, a render queue, a page gallery, per-panel regeneration, crop-based inpainting, speech-bubble layout, and layer compositing.github.com · 30 Sept 2026
Layered panels: Multi-character scenes can be rendered as a background plate plus character cutouts, with layers that can be exported, replaced, or regenerated independently.github.com · 30 Sept 2026
Character consistency: Character consistency features include identity and outfit tags, LoRA support, regional prompting, IPAdapter reference images, and generated drift-protection negatives.github.com · 30 Sept 2026
GPU orchestration: The project supports two ComfyUI backends with independent queues and can run vision-model quality checks on one GPU while the other renders.github.com · 30 Sept 2026
Writing tools: Writer tools include master-prompt templates, compact delta-panel edits, page-filtered editing, and chat-based script edits with history.github.com · 30 Sept 2026
Quality features: Its quality workflow includes best-of-N takes with automatic scoring, WD14 tag checks, vision-model verdicts, high-resolution fixes, face and body detailers, and seam-fixed upscaling.github.com · 30 Sept 2026
Integrations: The documented generation setup uses ComfyUI and local language models through LM Studio, with optional cloud-GPU burst and model downloads from Hugging Face.github.com · 30 Sept 2026
Local requirements: The documented pipeline requires Python 3.9 or newer and a running ComfyUI installation with an Illustrious-XL or NoobAI-XL family checkpoint; the workflow uses core nodes and needs no custom nodes.github.com · 30 Sept 2026
Supported models: The pipeline supports SDXL, Illustrious, and NoobAI-family checkpoints; the README says Anima checkpoints and video models such as LTX and WAN use incompatible architectures.github.com · 30 Sept 2026
Reproducibility: The project uses deterministic seeds by default and saves the exact workflow JSON sent for each panel for debugging or reuse.github.com · 30 Sept 2026
Known limitation: The README notes that SDXL can blend character traits in multi-character panels and says character LoRAs can reduce, but not eliminate, this issue.github.com · 30 Sept 2026
License: The repository includes an MIT license.github.com · 30 Sept 2026