Hiya! So I've been playing around with having Claude make videos for a bit now even had some success posting the results to TikTok (and setup a whole pipeline so Claude can generate and post autonomously). With the release of Nano Banana 2 Lite, I was curious show fast I could make the generation, so last night I gave it a whirl and got down to around 30s for short-form video.
It uses GLM-5.2 fast via Fireworks to generate the scripts and image prompts and, like I said, Nano Banana 2 Lite for the images, gpt-4o-mini-tts for the narration, and ffmpeg to string it all together and add the Ken Burns zoom effect (which still has a shake I haven't been able to get rid of). The video compilation proved to be the blocker once the rest was in place, but I was able to speed that up by putting it on a 64 vCPU EC2.
The cost might be the most interesting aspect as the short form videos tend to be about 25 cents. Almost 90% of that is the images, which are 3.336 cents a piece. Of course, running the big 64 core EC2 to allow for the creation isn't cheap.
It seems like on-demand AI video is coming, and I thought this was an interesting demo of how close it might be in at least one narrow video domain.
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File "/usr/lib/python3.10/concurrent/futures/thread.py", line 58, in run result = self.fn(self.args, *self.kwargs) File "/home/ubuntu/byclaude/video/harness/pipeline/pipeline.py", line 829, in build_clip clip = round(dur + TAIL, 3) TypeError: unsupported operand type(s) for +: 'NoneType' and 'float' Video build failed (pipeline exit 1) — please try again. Powered by AI · by Claude · ~
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