MinervaRose/moonlit-showrunner: Moonlit Showrunner v0.7.3 — Kitten-Centered Character-Locking Prototype

Moonlit Showrunner v0.7.3 — Kitten-Centered Character-Locking Prototype

This release marks the current working prototype of Moonlit Showrunner, an AI-assisted short-film pipeline built with Python and Streamlit.

Starting from a story premise, the app generates a structured story package, character profiles, script, storyboard, visual prompts, continuity notes, character reference cards, generated scene images, a visual animatic MP4, and optional Sora video clips assembled into a final video output.

Version 0.7.3 focuses on the kitten-centered version of the project, following Milo, a small kitten who loses his first tooth and discovers a moonlit fairy archive where tiny keepsakes become stars.

Highlights

• Kitten-centered default story premise featuring Milo and the Tooth Fairy
• Character continuity profiles for more stable visual identity
• Reusable character reference-card generation
• Continuity-aware scene image prompts
• Visual animatic MP4 assembly using generated still images
• Optional Sora video generation, one clip per storyboard shot
• Concatenation of Sora clips into a full MP4 output
• Moderation-aware Sora prompt sanitization
• Graceful handling for moderation and billing-limit errors
• Updated README with current screenshots and generated video link

Generated video output

The current Sora-generated video output is available here:

https://youtu.be/vknl0erAFn8

Notes

This is a working prototype, not a finished production animation tool. The project explores how generative AI can support creative production through structured, reviewable, human-in-the-loop stages rather than relying on a single prompt-to-video workflow.

Known limitations include imperfect character consistency, occasional visual drift, long-running generation steps, and the need for stronger resume support after Streamlit restarts.

Next planned improvements

• Resume support for loading an existing run folder
• Single-shot regeneration controls
• Better reuse of existing character reference cards
• Prompt editing before image or video generation
• Continuity scoring and run comparison
• Improved review workflow for generated assets