r/generativeAI

Blown away by the new wave of AI trends online, but this one in particular is probably the most realistic AI use I’ve ever seen. Anyone know how it’s accomplished? Software like wan, omnihuman or runway capable of this or something completely different that I’m unaware of?

https://www.instagram.com/reel/DaW0n9LICr0/?igsh=cHBud2xyOHNmMGh0

First post anywhere on reddit so bare with me.

Not sure if this question goes here though.

Im still fairly new to AI image and video gens. I've only used GPT, Gemini and Grok enough to know i like the quality of GPT the most. Im not sure about video gens.

I want to know what program is the best for BOTH high-quality image and video gens. So I only have to pay for 1 subscription and not multiple.

Please and thank you 😊

I’m a Gen AI filmmaker based in Rotterdam. I’ve worked on micro-dramas, series concepts, commercial projects, branded treatments, and previs for production teams, but the lesson that changed my workflow came from a mistake I made much earlier.

At the start, I judged progress by how much I could generate. If I had a folder full of clips, I felt like the project was moving. A lot of those clips looked impressive on their own, with good lighting, strong atmosphere, interesting characters, and camera movement that felt expensive for a few seconds.

The problem was that most of it was not really storytelling. It was output. It created the surface feeling of a film, but it did not always carry a beat, build tension, reveal character, or move a sequence forward. Once I put those clips into an edit, the weak points became obvious. Characters drifted, eyelines changed, scene geography broke, and shots that looked good alone had no reason to sit next to each other.

That was the uncomfortable part for me. The issue was not only the model. The issue was that I was using generation volume to delay harder creative decisions. I had motion, texture, light, and variation, but I had not always decided what the scene was actually doing.

Now I try to treat AI video less like a magic output machine and more like production material. Before generating, I spend more time on story beats, references, character rules, shot logic, blocking, camera notes, edit rhythm, and what the viewer needs to understand from each moment. The generation is still important, but it works better when it is serving decisions that already exist.

That has probably been my biggest shift with AI video. I do not ask only whether a shot looks good. I ask whether it is doing story work in context. That is a less flashy standard, but it is the one that matters when the work has to survive an edit, a review, or an audience that does not care how many clips you generated.

I’d be interested to hear how other people here separate “good generation” from “usable sequence,” especially when working with longer AI video projects.

I turned my family members into 3D CG animated characters and put them all into a 18 minute adventure story using mostly local diffusion models. When I've shared my creation in AI-centric subs or communities I've gotten genuine constructive feedback on the video and even some appreciation for the family focus.

Today I decided to share the video with a non-AI focused community thinking someone would appreciate the fact that it was done for family. But the post was getting negative feedback faster than they would have had time to even watch the video and judge it on the story, characters, world building, etc.

Despite writing an original story, writing every line of dialogue, meticulously creating every single keyframe image, generating every shot and then all the editing in Premiere Pro, the sound effects, and background music apparently "I created nothing. I gave an AI a prompt and it did all the work."

I've seen people show up in different AI-centric communities / subreddits looking for a place they could discuss diffusion models without instantly receiving hate. Now I understand why.

What I don't understand is why there is so much hate around AI created content.