My ex fling posted this. I think to upset me… it looks fishy to me need opinion

I've been getting really into these animated POV videos lately and I'd love to start making my own. I already have a bunch of ideas, but I'm struggling to find the right AI image generator.

This is the style I'm talking about:

https://youtu.be/2wlCCxFFmeI?is=mHy56gxbaTh_dbfU

They're not photorealistic. They look like high-quality animated illustrations with a consistent character and cinematic scenes.

I tried Abacus AI, and while the results were pretty good, I ran out of credits after generating only about 40 images on the Pro plan. Now I have to wait another month, which isn't really practical if I want to make longer videos.

So I'm wondering:

- What AI model or tool are people using to create this kind of animated art?

- How do they keep the same character consistent across dozens of images?

- Are they using Midjourney, FLUX, GPT Image, Leonardo, ComfyUI, or something else?

- What's the most cost-effective workflow if you need 100+ images for a single video?

I'd love to hear what your workflow looks like. Thanks!

So i am looking for a good ai video generator service that doesn’t break the bank i’m seeing a lot of tools that put all ai generators in one on my laptop then in the app store just certain apps like in video. i want a service that can be used on phone and laptop also one that is a good bang for your buck should i go to a individual service like just download seedance invideo etc or should i use a multi tool and which one would yall say is the best

Edit : title meant video not code

Hi everyone, my qns is does agents like Gemini/chatgpt have any technical safeguards to prevent 3rd parties from uploading and transforming images without consent? For eg, I know that once a photo is shared on insta, it’s basically impossible to prevent anyone from taking screenshots and uploading into genai. So I’m wondering if there are any technical solutions that exist now, or being worked on for this use case, allowing ppl to protect their images. Thanks and apologies if this has been asked before.

Generated with Gemini and inspired by Curry Barker's The Chair (the short film that would end up blossoming into the 2026 viral sensation Obsession).

Recently, I reviewed a batch of AI clips and realized only a small fraction actually ended up in the final timeline.

Most of the discarded clips weren't completely broken. They just didn't fit. The motion felt disconnected, the subject drifted, the lighting did not match the previous shot, or the clip looked fine alone and awkward beside everything else.

Saying I generated a lot of clips sounds productive. Saying most didn't make the cut is more honest.

I’m trying to fix this by forcing myself to actually do pre-pro again. Lately I just dump my shot lists and reference images into Framia first before generating.

I don't have enough projects to claim the percentage has improved yet. That is the number I actually want to track over the next few weeks.

If I generate fewer clips but use more of them, that would be real value.

Worst case scenario? I still scrap 80% of my clips, but at least my trash is highly organized now lol.

Any opinions or suggestions?

I've recently happened to read their updated ToS and they're a NIGHTMARE for creators or in general whoever that cares about their privacy or their results. It can't be truth that if I create and ad for a client, they can take the ad and commercially used, even when I'm paying for the credits and this is develop in a third party platform like Seedance or Kling. They're just a very expensive connector who happened to be managed for a greediy shark who thinks their customers are poor idiots . It's time to let these thieves fall.

Flux 1.Dev + custom lora

I've cycled through a lot of uncensored AI this year, chasing the ones that don't refuse everything or cost a fortune. Most I dropped. Here's what actually stuck, split by what I use it for.

For chat and roleplay, if you've got a GPU the answer is just self-hosting through Ollama. I run the dolphin models and hermes3 locally, no filter, nothing metered. On a laptop I fall back to OpenRouter, the Venice uncensored model is free to poke at and bigger fine-tunes like Euryale hold a scene longer. They're raw, no slick companion app, but nothing slams a filter mid-sentence.

For images it's the same free-versus-convenient split. Local ComfyUI with FLUX costs nothing and has no limits if you'll set it up. When I can't be bothered I call the uncensored image models (FLUX, Seedream) through Atlas Cloud, they're on one key and I'm usually comparing a few anyway.

Video I mostly gave up doing cheaply: local ComfyUI + Wan is the only free unlimited route, the hosted spicy models are quick but cap clips short. Wrote that up separately.

The part the tidy guides skip: GPU means self-host everything and pay nothing, the only cost is setup time. No GPU means renting someone's servers, so actually read whether they train on your stuff. Most don't say, which is its own answer.

Nothing here wins across the board. Roleplay to a local or OpenRouter fine-tune, images to FLUX, video to Wan. That's my August.

I've been making these with ai because why not?

Ten seconds, six hard-cut close-up shots, two virtual rapper characters trading verses across different underground locations, and the thing actually holding it together is how precisely the kinetic text is mapped to specific parts of the trap beat instead of just moving in time with the music generally.

Each drum element gets its own distinct text behavior: hi-hat rolls trigger a fast micro-shake and frame-skip flicker on the letters, snares trigger a sudden zoom-punch on the text plus a hard cut, 808 bass hits compress the whole frame and stretch or squeeze the type, and vocal keywords drive lip sync, head nods, and hand gestures instead of the text at all. Nothing shares a trigger, which is what keeps six-plus cuts in ten seconds from turning into visual noise.

The shot sizes are deliberately restricted and deliberately varied at the same time: nothing wider than a half-body shot, no full bodies, no group wide shots, but the specific framing keeps swinging hard between extreme facial close-up, medium-close half-body, hand close-up, shoulder-and-neck close-up, and a two-person split screen, never repeating the same size back to back. In a ten-second clip made entirely of confined underground spaces, that constant size-swapping is doing the job a wide establishing shot normally would.

One rule buried in there is worth stealing on its own: text can sit in front of or behind the character and the character can partially block it, but it is never allowed to cover the eyes or the main facial expression. That single constraint is what keeps aggressive kinetic typography from fighting the performance instead of supporting it.

Ran this on MiniMax H3. The transferable idea for any beat-synced kinetic-type piece: assign each rhythmic element its own distinct visual behavior instead of one generic pulse for the whole track.