End-to-End Guide: Create Graphic Novels with Gemini + NotebookLM (Template, Gem & 25 Examples)

A Reddit user (EricTheReddit) has published a practical, end-to-end workflow for generating full graphic novels using Gemini and NotebookLM (original thread: https://www.reddit.com/r/notebooklm/comments/1q3x0wv/making_graphic_novels_with_gemini_and_notebooklm/). The package includes a structured script template, a custom Gemini Gem to generate scripts, step-by-step NotebookLM directions, and 25 finished examples demonstrating different genres and art styles. The result is a usable, educator-friendly toolkit that proponents in the thread called “incredibly helpful” and “very, very, very cool.”

What the workflow does

1. Script-first approach: Start with a specially structured graphic-novel script template that controls pacing, panels, narration, dialogue, and art-style directions.
2. Optional automation: Use the custom Gemini Gem created by the author to generate scripts from prompts when you want to speed up ideation.
3. NotebookLM rendering: Feed the script into NotebookLM to generate the finished graphic-novel pages. NotebookLM produces slide-deck-style pages as the final output.
4. Extras: The author shares 25 full novels as examples and provides step-by-step directions so others can reproduce the process.

Why this matters

• It is a full workflow, not just a single prompt. Many AI experiments stop at “look what I generated.” This one bridges concept, script, and formatted pages, which matters for educators, indie creators, and prototypers.
• Reproducibility: The author provides templates and a Gem, so you can replicate or tweak the process rather than reverse-engineering outputs.
• Scale: 25 examples show the approach generalizes across styles and topics, which is useful when evaluating a creative pipeline.

Context and limitations

NotebookLM is optimized for slide-like outputs; if you need vertical phone-friendly pages (9:16), you will likely need an extra step: generate images with a separate image tool (Nanobana or Gemini image generation), set the desired aspect ratio there, then import or assemble those pages into your final layout.

Licensing: The author states they share the resources under Creative Commons, which is helpful for educators who want to adapt materials (see the full guide below).

Quality control: As with any generative pipeline, include human-in-the-loop review for narrative consistency, character continuity, and text that appears inside images.

Practical tips (quick wins)

• Use the script template when you need fine-grained control over pacing and panel structure.
• Use the Gemini Gem to iterate ideas rapidly, then lock the best script and refine prompts for image style.
• If you need portrait pages, generate images separately at the target aspect ratio and assemble them in a simple layout tool or PDF composer.
• Keep an eye on character descriptions and repeated elements so NotebookLM or the image generator renders consistent characters across pages.

My takeaways

This is one of the more actionable, end-to-end public workflows for AI-assisted graphic novels: template plus automated script generator plus NotebookLM rendering creates a practical pipeline.

The package is especially valuable for educators and storytellers who want polished outputs without managing every image manually.

Expect to add a small manual or tool-based step when you need non-16:9 outputs (portrait phone layouts), but the core pipeline covers most use cases.

If you want to try it

Read the author’s full guide and download the template and Gem: https://www.controlaltachieve.com/2026/01/graphicnovels.html

Visit the original Reddit thread for community tips and examples: https://www.reddit.com/r/notebooklm/comments/1q3x0wv/making_graphic_novels_with_gemini_and_notebooklm/

Remember that these tools accelerate creation, but good results still come from clear prompts, iteration, and editorial oversight. For teachers, indie creators, and experimenters, this feels like a practical, repeatable starting point.