Creator: Yunan Amrulloh, UNXIN STUDIO
Instagram:@unxinstudio
Featured project:Bloody Roar 2 AI fan film
An Idea Bigger Than the Budget
Yunan Amrulloh has always liked turning ideas into images.
Before AI became part of his creative process, that meant drawing illustrations in Procreate, filming everyday moments, and turning them into short films. But like most independent creators, some ideas simply required too much: actors, locations, stunt performers, costumes, visual effects, a production crew — and a much bigger budget.
Then AI video arrived.
Yunan started experimenting almost immediately. What began as curiosity quickly became a new way of creating. He realized that scenes he previously might only have imagined could suddenly become something he could actually build.
Today, working under UNXIN STUDIO, Yunan creates cinematic short films, advertising creatives, music videos, UGC-style content and experimental AI projects designed to push new models to their limits.
And one of those experiments became his biggest example of what's possible.
Bringing Bloody Roar 2 Back to Life
Yunan had an ambitious idea: recreate the world of Bloody Roar 2 as an AI-generated fan film.
It wasn't exactly an easy concept. The fighting game is built around characters who don't just fight — they transform into beasts in the middle of battle. To make that believable on film, Yunan needed fast-moving fight sequences, recognizable characters, and mid-fight transformations that still felt coherent.
Imagine trying to produce that traditionally as a solo creator.
“You'd need stunt coordination, custom costumes, and heavy VFX,” Yunan explains.
Instead, he created the sequences digitally with AKOOL. No stunt team. No custom creature costumes. No VFX studio.
Just one creator turning the film he had in his head into something people could actually watch.
Building the World, One Generation at a Time
Yunan's creative process usually starts with an idea. He breaks the story down into the visual pieces he'll need and begins creating image references that will eventually become the foundation of the video.
Sometimes, though, it starts with something completely different: music. He'll listen to a track and begin imagining the scenes, characters or story that could exist around it. From there, he starts building the visual world.
His work tends to lean toward realism, which makes consistency especially important. A great individual image isn't enough. The characters, movement and overall visual language need to survive from one shot to the next.
For images, Yunan primarily works with GPT Image 2, while using Nano Banana Pro for supporting tasks. When it's time to bring those images to life, he frequently turns to Seedance 2.0 and Seedance 2.5 inside AKOOL.
For a project like Bloody Roar 2, that mattered. Yunan found Seedance particularly strong for fast-motion content, where maintaining consistency while producing convincing action can be challenging.
One Place to Keep Creating
Interestingly, what drew Yunan to AKOOL wasn't one single feature. It was the ability to keep creating without constantly breaking his workflow.
“AKOOL is very easy to use,” he says. “It has all the models I need in one place, both for image and video generation.”
Instead of generating an image in one platform, moving it somewhere else for video, then jumping between different tools every time he wanted to try another model, Yunan could move between different parts of the process in one place.
He could take something he'd already generated and re-prompt it. He could regenerate using the same prompt. And AKOOL's asset folders gave him a way to find previous generations rather than losing them.
For a creator producing complex scenes through dozens of iterations, those small workflow improvements add up. They leave more time for the part that actually matters: the story.
Then People Started Watching
When Yunan published the finished Bloody Roar 2 project, the response surprised even him.
The film generated more than 28,000 interactions, including:
- 20,600 likes
- 3,800 shares
- 2,400 saves
But the most interesting number wasn't the view count. 91% of the project's reach came from people who weren't already following him.
The film had escaped the boundaries of Yunan's existing audience. People were discovering it, sharing it and passing it along — not because they already knew UNXIN STUDIO, but because the work itself caught their attention.
For Yunan, that was proof that the experiment had become something bigger.
The Bigger Story Isn't Really About AI
It's easy to look at a project like Bloody Roar 2 and focus on the technology. But the more interesting story is what the technology allowed one person to do.
Not long ago, an independent creator imagining a cinematic fight between characters transforming into beasts would have had to confront the realities of production almost immediately. How much will the VFX cost? Where do we find stunt performers? How do we create the transformations? How many people will we need?
Yunan approached the problem differently. He started with the idea. Then he figured out how to make it.
That's the creative shift AI is beginning to unlock. It isn't only making production faster. It's allowing creators to attempt stories that might previously have been abandoned before production ever began.
“Don't Stop Experimenting.”
After all of his experimentation with AI, Yunan's advice to creators just starting out is surprisingly simple:
“Don't stop experimenting. Post every result, good or bad — that's how your journey and growth become visible over time.”
It's a fitting philosophy for UNXIN STUDIO. Every new model creates another opportunity to try something that wasn't possible before. Every imperfect generation teaches you something about the next one.
And sometimes, an experiment that starts with one creator wondering Can I actually make this? ends with 228,000 people watching the answer.