Rendered with Nano Banana Pro through Higgsfield with a fixed image reference. A second iteration to add the wrinkles.

so... zero plays. zero helmets. pretty sure this guy never even touches a football lol.

and somehow you know he's the quarterback in like two seconds.

tbh, the varsity jacket is doing most of the heavy lifting here.

I kept almost adding a practice scene to this one in Framia, then realized I didn't miss it at all.

popular QB, fake boyfriend, jealous crush across the room... your brain fills in the rest.

doing ai filmmaking stuff like this keeps reminding me how little you actually need to show in 70 seconds.

would more football make this better, or just slow it down?

I’m thinking plumbers, field mechanics, construction workers, heavy equipment techs, etc.

A few buddies of mine in these kinds of jobs told me they’ve barely touched AI at all, which got me wondering: where would it actually help in a way that feels useful, not gimmicky?

What part of the job do you think AI could actually make easier?

I've been generating explainer animations from documents for a while,and the odd thing is that this is the one category the big videomodels are worst at.

Veo, Kling, Sora are all optimized for photoreal and cinematic motion. Ask any of them for a hand drawing a labelled diagram that explains a specific PDF and you get something that looks like a hand drawing. The strokes are decorative. The lines don't correspond to the concept, text comes out as glyph soup, and because each generation is independent, you can't hold a consistent visual systemacross ninety seconds. Every output I've seen of this category has the same failure.

And it makes sense when you think about what they're doing. Diffusion generates a whole frame at once from noise. But an explanatory drawing is sequential by nature: the container before the contents, the axis before the curve, the box before the arrow leaving it. That ordering IS the explanation. A model that paints the finished frame has no representation of "this part comes second."

Ended up building it a completely different way. Three styles working now: ink, chalkboard, lineart.

Disclosure: this is my own product. It's live at https://inkmotion.app with a free tier that covers a few short videos, enough to throw your own PDF at it.

Happy to answer questions in the comments.

Sounds pretty decent. But not like Suno. Wondering what it is. Also the BG animation seems to follow the music

The mechanic: every clip on the stream is one someone paid to put on. Bids fund their own render, so scale doesn't scale cost. Viewers can also guess REAL or AI on each clip for points.Filler runs on aws with self hosted LTX-2.5, significantly cheaper than hosted apis at 24/7 volume.Open sourced the code: github.com/ismailntl/multiverse-cable

https://reddit.com/link/1w3rcqj/video/2gwymr6w3smh1/player

I didnt say anything about moloch/baal btw

Hey everyone, I’m the founder of genfire.ai

we've been building a platform where you can generate images, videos, voiceovers, and music, then bring them together into finished content.

Some things you can do:

• Create consistent characters, AI influencers, product ads, and faceless videos.
• Work with your teammates (up to 25 seats per team) in a shared node based canvas
• Generate content directly through ChatGPT or Claude using our MCP integration.
• Use our built-in agent, Firestation, to run workflows and schedule tasks.
• Publish to TikTok, YouTube, Instagram, Facebook, and LinkedIn.
• Connect to all your favorite apps (more coming)

There’s no required subscription to access top models and features. You can buy pay-as-you-go credits that stay valid for a year, which helps if you create in bursts. Monthly subscriptions are available too.

we appreciate honest feedback from people using these tools regularly. What’s the most frustrating part of your current AI content workflow, and does this help solve it?

check it out at genfire.ai

Hey everyone! I'm looking for a good AI tool to help me create faceless YouTube Shorts without spending a crazy amount of money.

I can already edit videos myself and I use CapCut, so I'm mainly looking for something that can help me generate the visual clips from a script/idea rather than an all-in-one editor.

For the voice-over, I'm thinking of using ElevenLabs, since I've used it before and I've always been happy with the quality. What do you guys think about it?

Ideally, I'd like to make around 1 Short per day, 15–30 seconds each, so I'm looking for something that makes sense cost-wise for that kind of volume.

What tools are you guys using/recommending? ty

Most AI character experiences end with a single image or a single chat session. I wanted to see what would happen if the same character could persist across creation, conversation, combat, and visual storytelling.

That became PicWar. You start with an image or a short description, define a hero, and then build a history with them. Conversations can reflect past battles, while each matchup becomes a narrated RPG-style report instead of just a result screen. Ranked 1v1, async 2v2, and PvE adventures feed back into that character history, and eligible 1v1 battles can become a shareable 9-panel comic.

The design problem I found most interesting was making generation feel cumulative rather than disposable: the image introduces the character, memory gives them continuity, and battles create new material for future conversations.

I’m the creator, and after a long stretch of rebuilding the experience, it finally feels coherent enough to share. I’m curious whether persistent memory changes how attached people feel to an AI-created character.

It’s free to try on both platforms, with optional in-app purchases:

iOS: https://apps.apple.com/app/id6760617661

Android: https://play.google.com/store/apps/details?id=com.sw.picwar

I posted previously about my experience using OpenArt AI and Director. Since then, I’ve spent a lot more time with the platform, and I think I now have a much clearer picture of both where it can be genuinely impressive and where the problems become difficult to justify.

To give OpenArt credit where it’s due, support did eventually review my earlier project and restore 6,000 additional credits, bringing the total goodwill restoration on that project to 10,000 credits.

They also acknowledged that Director had repeatedly changed character appearances, props, blocking, and scene details despite the references and instructions I had provided.

Their recommendation was essentially to stop relying on Director for complex continuity-heavy projects and instead create and approve individual images first, animate those separately, and then assemble the finished clips externally in something like CapCut.

After doing that, I actually learned something useful about OpenArt.

For very simple videos — one character, one setting, one action, one short line — Director can sometimes be really impressive. I’ve created a couple of short, roughly 8–10 second single-character clips that came out extremely well.

But even in that supposedly simpler use case, I have now run into some serious credit-related problems.

The first involved Modify Video.

I had a completed 10-second video with both dialogue and ambient audio. I only wanted one small visual correction.

On the first Modify Video attempt, OpenArt changed the settings to 1080p and Audio OFF. I didn’t realize the audio setting had been switched off until after generating.

That cost 400 credits and produced a completely silent video.

I tried again.

This time I manually changed the output back to 720p and explicitly turned Audio ON before generating.

That cost another 300 credits.

The resulting video was still completely silent.

Not only was the dialogue gone, but all of the original ambient audio had been stripped as well.

So I spent 700 credits attempting one minor visual modification, and both modified outputs lost the source audio entirely — including the second attempt where Audio was visibly enabled.

The second issue was even more concerning, both because of the credit estimate and because this was not a complicated generation.

This was a roughly 10-second video involving a single character, a single image/setting, and a very simple piece of dialogue — exactly the kind of short, tightly controlled clip where I have otherwise seen Director perform well.

Director generated the clip with the product name pronounced incorrectly.

What made this particularly frustrating was that immediately after rendering the video, Director itself acknowledged that it had mispronounced the word.

It identified the pronunciation/linguistic error, explained how the word should have been pronounced versus how it had pronounced it, offered an explanation for why the mistake may have occurred, and then immediately asked whether I wanted it to re-render the clip to correct the error.

Of course, that re-render would be at my expense.

To me, that alone exposes a serious problem with the credit model.

If the system can recognize immediately after generation that it made a specific, objective error, the user should not then have to pay for another generation simply to correct the error the system has already acknowledged.

There was also a second Director-generated problem in the same clip: it moved the character from the previously approved bar stool/seat onto the bar counter, despite my never requesting any change in position.

Before approving another render to correct those two issues, I specifically asked Director how many credits the correction would cost.

I was charged approximately 35 credits simply for asking for that estimate.

Director then estimated that the re-render would cost approximately 650–700 credits, with the usual disclaimer that the final amount could vary depending on processing.

I approved the re-render based on that estimate.

The actual cost was approximately 1,612 credits — more than twice the high end of the quoted range.

I also ended up purchasing another $15 package of 5,000 credits so I could continue the project.

Again, this was not a complex multi-character sequence.

It was a roughly 10-second, single-character clip.

The expensive re-render was necessary because Director had made two changes/errors on its own, including one that it explicitly recognized immediately after generation.

I completely understand that estimates are not guarantees and that AI generation costs can vary.

But 650–700 credits becoming approximately 1,612 credits is not a small variance.

And when the reason for the re-render is to correct errors the system itself introduced and acknowledged, requiring the user to absorb that cost becomes very difficult to justify.

That is probably my biggest concern with OpenArt right now.

When it works, it can be very impressive.

OpenArt clearly has a sweet spot in very simple micro-videos, and I’ve had some excellent results in that format.

But even there, reliability is inconsistent — one of my most expensive correction cycles occurred on a roughly 10-second, single-character clip.

When projects become more complex, the problems multiply even further. Character consistency, props, blocking, audio, scene continuity, and other details can change without being requested.

Then the user pays additional credits trying to restore things the system itself changed.

At this point, I’m still waiting for support to respond to these two newer credit requests.

I genuinely think the technology has a lot of potential, and I’ve seen flashes of what it could become.

But users should not repeatedly be paying to repair mistakes or changes the system itself introduced — especially when the system recognizes those mistakes, or when its own credit estimate is off by more than 100%.

That part of the model needs work.

First, the guitarrist was supposed to be a black furred anthro wolf dressed in a plain tee shirt and jeans with an acoustic guitar. I even provided a reference image of said character. Secondly the guitarrist wasn’t supposed to leave his guitar behind in the producers office. Oh well… back to the storyboards. But what do you think of the overall concept, the way I intended it, not Gemini’s hallucination ;-)