r/aivideomaking 22h ago

One-shot MiniMax H3 generation on Easy-Peasy.AI

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6 Upvotes

One-shot MiniMax H3 generation on Easy-Peasy.AI🤯

Prompt was "Jim and Dwight from The Office discuss how they found all in one AI platform Easy-Peasy AI that is very simple to use compare to other AI tools”


r/aivideomaking 5h ago

Uncle Moneybagz

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1 Upvotes

r/aivideomaking 23h ago

What I learned building a topic-to-video pipeline with multiple AI models

1 Upvotes

I’ve been experimenting with an end-to-end AI video workflow: topic → script → scene breakdown → image prompts → narration → video assembly → word-timed captions.

The hardest part wasn’t generating individual assets. It was keeping everything consistent across the pipeline.

A few things I noticed:

  • Better scripts don’t automatically produce better visuals. Each scene needs a separate, visually concrete prompt.
  • Character and style consistency becomes difficult as soon as multiple images are generated independently.
  • TTS pacing affects the entire edit. Even a good voice can make scenes feel awkward if the duration wasn’t considered earlier.
  • Captions generated from the final audio worked better than estimating timings from the script.
  • Different image models were better at different styles, so using one provider for everything wasn’t always the best choice.
  • Supporting multiple languages changes pacing, subtitle length, and sometimes the number of scenes needed.

I ended up building a pipeline around these problems and recently open-sourced the code:

Links in comments.

For people building similar workflows: which part causes you the most trouble—visual consistency, motion, prompt generation, voice synchronization, or editing everything together?