The Bloom Filmthon with Higgsfield AI

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The Bloom Filmthon with Higgsfield AI
๐Ÿ“… September 3, 2026 ยท Maru180, Gangnam
๐Ÿค Bloom ร— Higgsfield ร— Maru180
๐ŸŽค Minsung Kim (Country Manager, Higgsfield Korea) ยท Dasol Kim (HAXAI) ยท Host: Junsu Kim (Bloom)
๐ŸŽŸ๏ธ Event page

We ran a filmthon: make a video with AI, post it, and whoever records the highest view count over one week wins Higgsfield credits. Participants are still pushing their videos on their own social accounts right now, chasing the viral win.

We prepared the night with Minsung Kim, Country Manager of Higgsfield Korea, and Dasol Kim, and far more people showed up than we had planned for, which made it a bigger room than we had built. Higgsfield answered generously: after talking to HQ, every one of the 150 attendees received an Ultra plan worth about 200,000 KRW per person, about 30 million KRW in total. And the live demos from community members at the end were genuinely impressive and funny. We will announce ten winners once the counting closes.

Two hours to fix an ending you hated

The filmthon was not a sit-and-listen event. Junsu Kim from our team opened with a mission: everyone has a movie ending they hated, so rebuild it with Higgsfield into the ending you wanted. TV dramas counted too. Making things without stakes is no fun, so we attached a competition: post what you made that day to your own social account, and rankings are decided by views one week later, with Higgsfield credit prizes on the line.

About half the room was at Bloom for the first time, so we told the origin story briefly: a post called Claude Blue went viral, we reached out to the Anthropic ambassador in Korea to plan a first event, and more than 2,000 people signed up in three days. By survey, about 60 percent of the room was touching Higgsfield for the first time.

What if production cost converges to zero

Minsung Kim opened with the Zephyr music video, a sci-fi K-pop video featuring a five-member virtual girl group created by Higgsfield. Production took five days. Debuting a girl group normally takes one to two years, and films are similar. With that comparison on the table came the question:

What if these unavoidable costs converge to zero?

A few numbers set the scene: 91 percent of companies use video for marketing, 82 percent of all internet traffic is video, and daily video watch time is 100 minutes. On the maker side, three walls stand: cost, speed, scalability. Kim also shared Higgsfield numbers: 17 months after launch, 30 million global users and roughly 700 million dollars in revenue, with Korea ranking second or third globally in both revenue and volume of creation.

It is a platform that gives anyone with an idea, anyone with creativity, the ability to put a finished result into the world.

Kim also described what Higgsfield calls itself: an orchestrator, or an aggregator. Engines like Seedance, Kling, and Nano Banana are all available on one screen, and the answer to which engine is best is that it depends on the purpose. Game builders came up too: after vibe coding a game, the next wall is image assets. The code got written by AI, but there is no art, so the project stalls. Inside Higgsfield you can produce those assets end to end.

Making the AI do the work

The hands-on session belonged to Dasol Kim, who runs HAXAI, an AI video agency, and appears on YouTube as Rosajang. Kim used to be a planner at an ad agency, the kind of person who knows in their bones how many steps and how many people it took to go from planning through copy, production, CG, and VFX. Kim teaches often and knows everyone forgets everything afterward, so the whole session was built to leave one keyword behind: FLOW.

F is Find, hunting references. L is Logic, planning story and scenes. O is Open, choosing a studio. W is Work, with the meaning flipped:

We are not going to do the work. We are going to make the AI do the work.

Find got used the most during practice. In the Higgsfield community you can open any project someone else posted and see every asset behind it: characters, wardrobe, locations, and props organized separately, and clicking a scene reveals the prompt, the model used, and the resolution. You can steal the know-how of the people who are genuinely good. It is especially useful for anyone struggling with consistency: to put the same character in multiple scenes you need angles from front to profile, and the assets other people registered show exactly that. Kim described it as the same order of operations as film casting: hire the actor, have the stylist set the wardrobe, lock the location, prepare the props.

A nice surprise came up while walking through sign-up. Kim was explaining that Higgsfield is in English and Google Translate would do, when Minsung Kim jumped in: Korean support had just been added, a feature shipped only three days earlier. That is how fast the product is moving.

When the faces got too realistic

For Logic, the demo used the Supercomputer inside Higgsfield, a chat where you pick a model and talk. The prepared demo was a Japanese coming-of-age romance short drama. It started with: I want to make a 30-second piece, what should I do? The model proposed building the world together first, then kept offering choices for the setting and the two leads. Pick a small seaside town, click a few times, and out came character profiles, a storyline, and narration. No prompt writing required.

Asked to generate the character images, the Supercomputer switched itself to Soul, the model that produces realistic faces without the AI sheen. The realism was so good that it produced the funniest moment of the demo:

They wore school uniforms in name only. The faces came out like office middle managers.

That is Soul doing exactly what it was built for: faces that look like real people. The gap from the intended look closed within a few prompt rounds, asking for younger and more handsome while stopping short of idol territory. The expression that landed was: an appealing, likable face. The prompt talk was honest too: Kim has the LLM write all the image generation prompts and never writes them directly.

Choosing a studio

O is choosing the studio. If you do not even know what to make, scroll down the Supercomputer screen and the templates appear: Ad Multiplier for advertising a product, viral presets for standing out on social, animation one click away. For anyone with a product, the recommendation was Marketing Studio, where you do not write prompts at all; upload the product and Higgsfield composes the video. For the many people who said they wanted to make films, there is Cinema Studio: upload a reference image of your lead, choose the genre, the era, and even the tempo in advance.

One practical tip: do not render at 1080p from the start. Test at 480p, then upscale what works, and start at four seconds, because both credits and queue time are on the line. Turn audio on and a soundtrack appears; put dialogue inside double quotes and it gets dubbed.

Part of running events

Run enough events and you collect moments like this one. The promotion code that loads credits temporarily stopped working, and with 150 people in the room, far more than planned, we were flustered for a moment. Still, Dasol Kim kept the session moving without missing a beat, carrying the hands-on flow from a personal account on screen, and Minsung Kim had asked in advance: if your account already holds credits, use your own first and we will repay you 500 credits within the week. Six people gladly raised their hands.

The follow-through was solid, too. Higgsfield talked to HQ and gave all 150 attendees an Ultra plan worth about 200,000 KRW each, and the prize range was extended from the top three to the top ten.

The video where the dog does your job

Even so, the work got made. In the final twenty minutes we watched what people had built. First came a video from community member Jeongmin Kang. Asked whether it was really made today, the answer was yes, and someone asked to see it again, so we played it twice. Here is the video itself.

Then another member came up front, saying they never expected to end up speaking. Asked about the theme:

Work keeps annoying me, so I just wished my dog would handle the prep. That is why I made it.

The mission was to change an ending, and this was no movie: a video of a dog finding backup files, and although the audio was never touched, even the file-save sound effect was in there.

Minsung Kim showed one more thing: the Marketing Studio flow, where you paste nothing but a product page link. It was a client's sunglasses. Pick an avatar, upload two product photos, order 15 seconds. In the resulting video, the model says the lenses block UV and blue light, that they are so light you forget you are wearing them, and that the gray color is uncommon enough to change the mood. All of it read out of the reviews on the product page. The backdrop was Namsan, which nobody requested; writing in Korean on a Korean IP, it chose that by itself. Total credits spent: four.

A one-week race for views

Everyone posts their video to their own account, and rankings close by views next Thursday. YouTube, Instagram, or LinkedIn all count; tag the Bloom channel and we will follow along. Thank you to the 150 people who walked out having made something in two hours, and to the six who gave up their credits.


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