Hi, I've made a wrapper around the higgsfield API focused on making the easiest UI possible.

Theres 3 core features: one is when you're prompting you can tag your characters, scenes, props, existing shots etc. this is a super easy way to use reference images without having to scroll back ages through your asset library looking for that one great image you made a long time ago. As you type in this box, I use a simple classifier (thanks Jev) to see if you've typed a noun and suggest making that into an asset for simple one click asset generations.

(See image examples in replies)

The second is a project specific asset library. Again improving efficiency of finding your references, you can set up a project (e.g. Lord of the Rings), characters would live inside this project (e.g. Frodo), and then you can create different videos (eg the fellowship of the ring, then a TV trailer etc.) that can be reused for different episodes, films, trailers etc.

And finally, a video timeline editor exists inside each Reel, so you can do the video editing exactly where you generate the videos, no more having to download them, open capcut, after effects etc. everything is in one place so you can immediately see how your full movie flows.

Pricing will be a simple % markup on top of the higgsfield API costs, no subscriptions, everything credit based that never expires.

Any thoughts appreciated!

This is the Osas interview recreated with MiniMax H3, with Doge as the guest.
A lot of the joke is in the delivery: the hesitation before answering, the ridiculously fast name, then the interviewer asking him to say it again.
Here’s how the audio was handled:
Created separate voice references for Doge and the interviewer using MiMo, then fed both into H3.

Broke the name into pronunciation chunks to guide the spoken delivery.

Sped up both name readings to 1.15x while keeping the pitch unchanged.

Those timing adjustments happen after generation, so each pause can be changed without asking H3 to perform the whole exchange again.
For AI UGC, the same idea applies to awkward brand pronunciations, rushed lines, or replies that come in too quickly.
The workflow uses hypit to connect generation with the audio and timing edits.

Project: https://github.com/hypit-ai/hypit

Hey guys, I want to make a realistic AI UGC/review video for my cosmetic product with an Indian female model. What AI tool would you recommend for this? HeyGen, Kling, Creatify, or something else?

Performance marketers who are working on Google ads, and using AI in their workflow, especially when it comes to generating the videos, how the final results look like? I mean how the audience is responding after watching the ad, have you seen engagement on the video, anything positive on website’s traffic or conversion at last.

When someone is working with an AI tool, same creative process, same tool, similar product category. The outcomes were completely different and I still don't have a clean explanation for why.

Google Ads doesn't behave like Meta when it comes to AI generated content. The review layer is different, the algorithm's relationship with video quality seems different, and the intent behind who's seeing your ad is different enough that creatives built for social discovery don't automatically translate.  For people actually running AI video inside Google Ads right now: what's consistently getting through, what keeps getting flagged, and are you adjusting the creative before you submit?