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Manga Studio

github.com

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Spec score 7.0 #26 of 27 in AI Comic Generators

Spec sheet

Purpose
Manga Studio is a local-first AI manga production pipeline that turns a premise or structured script into lettered manga pages.Read 30 Sep 2026 · github.com
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.Read 30 Sep 2026 · github.com
License
The repository includes an MIT license.Read 30 Sep 2026 · github.com
Character consistency
Character consistency features include identity and outfit tags, LoRA support, regional prompting, IPAdapter reference images, and generated drift-protection negatives.Read 30 Sep 2026 · github.com
Character tools
Character consistency features include identity and outfit tags, LoRA support, regional prompting, IPAdapter reference images, and drift-protection negatives.Read 29 Sep 2026 · github.com
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.Read 29 Sep 2026 · github.com
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.Read 30 Sep 2026 · github.com
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.Read 30 Sep 2026 · github.com
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.Read 30 Sep 2026 · github.com
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.Read 29 Sep 2026 · github.com
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.Read 30 Sep 2026 · github.com
Model limit
The workflow supports SDXL, Illustrious, and NoobAI-family checkpoints, while Anima checkpoints and video models such as LTX and WAN are incompatible.Read 29 Sep 2026 · github.com
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.Read 30 Sep 2026 · github.com
Reproducibility
The project uses deterministic seeds by default and saves the exact workflow JSON sent for each panel for debugging or reuse.Read 30 Sep 2026 · github.com
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.Read 29 Sep 2026 · github.com
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.Read 30 Sep 2026 · github.com
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.Read 30 Sep 2026 · github.com
Writing tools
Writer tools include master-prompt templates, compact delta-panel edits, page-filtered editing, and chat-based script edits with history.Read 30 Sep 2026 · github.com

Where Specifiction places it

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