Most "AI video" tutorials stop at generating a 5-second clip. I wanted a pipeline that goes from a written story all the way to something film-ready. Here's the workflow I built using AI Model Hub.
Step 1 - Adapt the source
The AI Screenwriting Studio takes a novel (or any long text) and assigns a virtual crew: a producer to structure acts, script doctors to sharpen dialogue, and a continuity editor to keep details consistent. Output is a screenplay formatted for production - not just a summary.
Step 2 - Generate key visuals
For each scene I pull reference frames with GPT Image 2, being specific about lighting, lens, and mood. The Inspiration Gallery is my go-to when I'm short on direction - it shows real generations with their prompts, so I can remix a style in one click.
Step 3 - Animate with Seedance 1.5 Pro
Seedance 1.5 Pro turns those frames (or a direct prompt) into cinematic video - and crucially, it adds built-in sound and music, which removes a whole post-production step. For short social clips this alone is a huge win.
Step 4 - Stitch and ship
DaVinci Resolve (free) for the final cut. Total time from manuscript to rough reel dropped from days to an afternoon.
Why an aggregator helps here
Doing this across separate subscriptions means five logins and five bills. On AI Model Hub the screenwriting, image, and video models all live in one dashboard with one usage-based balance - so the pipeline stays in flow.
If you've tried AI video at scale, what's your bottleneck - generation quality, consistency, or the editing tail?
📦 Code & assets on GitHub: caicaibig-tige · Lijing-Big
🌐 Platform: https://xinghuo1300ai.com
Top comments (0)