watiamgonnabe

the world is cool.

[Simply Ray @kingofdairyque]

Create a realistic everyday gym vlog filmed by a young Korean woman in her mid-20s. She has a naturally beautiful oval face, expressive dark brown eyes, long silky black hair in a casual high ponytail, and a slim athletic physique.

OUTFIT: Dark olive-green fitted long-sleeve athletic top, high-waisted matte black leggings, white ankle socks and clean white sneakers. Minimal natural makeup. Maintain identical facial features, hairstyle, outfit and proportions throughout.

ENVIRONMENT: Modern Korean neighborhood gym with large mirrors, dumbbell racks, workout benches, cable machines, rubber flooring, warm overhead lighting and a few distant gym members.

STORYBOARD – 30 SECONDS

SCENE 1 – GYM ARRIVAL (0–4s)
Handheld selfie footage of her smiling, adjusting her ponytail and briefly showing the gym interior. She walks toward a workout bench and places her transparent water bottle beside it.

SCENE 2 – SUMO SQUATS (4–8s)
Holding one dumbbell with both hands, she performs controlled wide-stance sumo squats. Low three-quarter camera angle, natural zoom toward her hands and dumbbell.

SCENE 3 – REAR DELT FLY (8–12s)
She bends forward slightly and raises two light dumbbells outward into a T-shape. Side-angle footage followed by a mirror reflection and focused facial close-up.

SCENE 4 – WALKING LUNGES (12–16s)
She performs alternating dumbbell walking lunges across the gym floor. Handheld diagonal tracking, brief sneaker close-up and full-body movement.

SCENE 5 – ARNOLD PRESS (16–20s)
Seated on a workout bench, she rotates her wrists while pressing two dumbbells overhead. Front-facing medium shot with a smooth zoom toward her arms and focused expression.

SCENE 6 – SKULL CRUSHERS (20–24s)
Lying on a flat bench, she bends her elbows to lower two light dumbbells beside her head and extends them upward. Side-angle footage and close-up hand details.

SCENE 7 – DUMBBELL SHRUGS (24–27s)
Standing before a gym mirror, she performs controlled shoulder shrugs. Camera shifts from reflection to her slightly sweaty face and satisfied smile.

SCENE 8 – WORKOUT FINISH (27–30s)
She returns the dumbbells, drinks water and switches to selfie mode. Sitting on the bench, she smiles, adjusts her ponytail and gives a thumbs-up.

CAMERA & AUDIO

Natural handheld selfie footage, mirror recordings, bench-propped angles, subtle shake, realistic autofocus, smooth zooms and spontaneous framing. Beautiful warm lighting, realistic skin texture, fabric details, reflections and natural sweat.

Include authentic gym ambience: footsteps, dumbbells, breathing, distant conversations, clothing movement and water bottle sounds. No music or artificial sound effects.

STRICT RULES: Consistent character and outfit, accurate exercise mechanics, realistic anatomy, natural transitions, no repeated exercises, no captions, subtitles, text, logos, graphics or watermarks.

FINAL LOOK: A beautiful, authentic everyday Korean gym vlog with cinematic framing, natural expressions and realistic workout movements.

[Kallaway @kanekallaway]

This is the best storytelling framework for boring businesses.

It’s called The Illusion of Novelty.

It’s the easiest way to turn boring topics into stories people want to watch

[Kallaway @kanekallaway]

This is the best storytelling hack for educational content.

It’s called Comprehension Maxing.

These are the two easiest ways to hold viewer’s attention.

[Smiling Khan @AIwithkhan]

A Day in the Life of a Korean Baddie 💋

Seedance 2.5 just got us amazed

Prompt :

STYLE: Hyper-realistic cinematic K-fashion editorial, Seoul street aesthetic, confident baddie energy, dynamic camera transitions, natural skin texture, glossy highlights, premium music-video cinematography, 4K,

SHOT 1: ECU, 85mm push-in / Close-up of a smartphone alarm vibrating beside a Korean girl with long, silky black hair, flawless glam makeup, and glossy lips, sleeping in a fitted crop top and shorts. She opens her eyes and gives the camera a confident, unbothered stare / SFX: alarm buzz, bedsheet rustle.

SHOT 2: WS, 35mm handheld / She sits up, stretches casually, tosses her hair back, and swings her legs off the bed. Morning sunlight illuminates her stylish bedroom, full of Korean beauty products and fashion accessories / SFX: mattress bounce, fabric rustle.

SHOT 3: MCU, 50mm mirror slide / She washes her face, applies skincare, and studies her reflection before beginning her beauty routine. Water droplets catch the bathroom lighting / SFX: faucet rush, skincare bottle clicks.

SHOT 4: ECU, 85mm macro / Match cuts of her applying eyeliner, shaping her brows, adding glossy lip tint, and placing delicate silver earrings. Every movement is precise and confident / SFX: makeup brush swishes, cosmetic cap clicks.

SHOT 5: Bird's-eye, 35mm overhead / Her wardrobe opens to reveal trendy streetwear. She selects a fitted black top, a cropped leather jacket, a pleated mini skirt, knee-high boots, and a designer-style shoulder bag / SFX: hanger clinks, fabric movement, zipper pull.

SHOT 6: MCU, 50mm push-in / She completes her outfit, adjusts her jacket, puts on sunglasses, and gives herself a final look in the mirror. A subtle smirk reveals her confident attitude / SFX: heel click, jewelry jingle.

SHOT 7: WS, 24mm low-angle tracking / She walks through a stylish Seoul apartment corridor with effortless confidence, boots striking the floor as the camera tracks backward / SFX: rhythmic footsteps, door latch.

SHOT 8: MS, 35mm gimbal tracking / Whip-pan transition to the streets of Gangnam. She walks past fashionable boutiques, glowing Korean signs, and sleek storefronts while pedestrians blur behind her / SFX: city ambience, traffic, footsteps.

SHOT 9: MCU, 85mm slow-motion push-in / She removes her sunglasses, looks directly into the camera, and brushes her hair over one shoulder. Neon reflections shimmer across her glossy lips and jewelry / SFX: subtle whoosh, street ambience.

SHOT 10: MS, 35mm handheld / She enters a trendy Korean café, orders an iced Americano, and casually checks her phone while leaning against the counter / SFX: café chatter, espresso machine, ice clinking.

SHOT 11: Insert, 50mm macro / Close-up of manicured fingers holding an iced coffee cup, condensation sliding down the glass, followed by a stylish mirror selfie with her entire outfit visible / SFX: ice rattling, phone camera click.

SHOT 12: WS, 24mm cinematic tracking / She steps into a luxury shopping district, passing glass storefronts and fashionable pedestrians. The camera follows her confident walk with smooth lateral movement and strong foreground parallax / SFX: heels clicking, distant traffic.

SHOT 13: MCU, 50mm snap zoom / She stops at a crosswalk, lowers her sunglasses slightly, and gives the camera a playful, intimidating stare before the pedestrian signal changes / SFX: crosswalk beep, traffic passing.

SHOT 14: WS, 35mm orbit / Golden-hour rooftop scene overlooking Seoul. She poses against the skyline, jacket moving gently in the breeze, then turns toward the camera with a confident half-smile / SFX: rooftop wind, distant city ambience.

SHOT 15 ECU to WS, 85mm pull-out / Final beauty close-up of her eyes, glossy lips, and flawless makeup. She puts her sunglasses back on and walks away as the camera slowly pulls back, revealing the glowing Seoul skyline behind her / SFX: bass hit, heels fading, cinematic music ending.

[Camilo Castañeda | Ad Creatives for Ecom @adswithcami]

Running out of ideas? Here are 40 ad formats worth testing

[沐阳 @yyyole]

这应该就是以后影视剧制作的常态！！
就像我之前所说，现阶段对AI视频最好的用法就是：
实拍 + AI！

人物的情绪、动作、微表情，这些决定了内容的温度和质感，需要“绝对的真实”，依然采用实拍。
而光影、场景、VFX，氛围感塑造，都可以用AI来搞定。

用实拍去托住真实感，用AI去放大表达力！

视频来自新加坡首部AI混合剧情片：《The Crooks》

[Sarah @AIwithSarah_]

They call it AI slop, we call it AI filmmaking!

Seedance 2.5 on Higgsfield.

Prompt in comments

[God's Way Foundation @godswayfoundinc]

🫵You should generate every shot in Seedance 2.5 at 480p. And not because it saves credits.

480p → Topaz upscale to 4K gives you something 720p and 1080p can't: the
upscaler has to reconstruct detail, and it outputs images that are softer at the edges. Which means with 480p there's even less clinical, digital sharpness.

Native 1080p out of a video model looks like a render for this reason.

Pair it with Dehancer for the halation and film grain and it looks more authentic.

AI video is at its realest when its purposely imperfect.

Cheaper, and closer to film(imo 🤷). That's the whole trick.

Check out this example 👇

[Sixth Tone @SixthTone]

China’s booming ultra-short drama industry is being reshaped by the rapid rise of AI-generated video. In Zhengzhou, one of the country’s major production hubs, directors, actors, crews, and film bases that once fueled the industry’s explosive growth are now facing shrinking budgets, fewer shoots, and an uncertain future. Meanwhile, in other cities like Wuxi, AI studios are embracing the same technology to produce dramas faster and at a fraction of the traditional cost. As the two worlds increasingly converge, the question is no longer whether AI will change filmmaking, but what role humans will have in it.

[Framer 🇱🇹 @Framer_X]

This is the best Seedance hack ever.

You can convert any 16:9 video to 9:16 with just one prompt.

Meaning you can repurpose all your horizontal videos as vertical IG Reels, YouTube Shorts, or TikToks 🤯

Prompt below 👇

[Stav Zilbershtein @mightyking]

Wan 3.0 vs Seedance 2.5 - same viral video

There is only one ruler and it's clear who

prompt:

Raw vertical phone video (UGC), handheld throughout, filmed by a friend who walks with the group, casual sway, natural night lighting, wide-angle lens, deep focus.

Characters

The hero is a young woman with long dark hair in a deep-purple one-shoulder dress with a small shoulder bag.

Her three friends: one in a dark brown dress, a blonde in a black wrap dress, a blonde in a white mini dress — party dresses and sandals.

Laughing, spontaneous night-out energy.

Setting

A luxury marina at night — a stone quay along a narrow water slip flanked on both sides by large moored luxury yachts, big white hulls rising on either side, masts and rigging above, fenders on the hulls.

Warm orange street lamps, palm trees, distant city lights.

The yachts glow with blue-turquoise underwater LED lights spilling into the water; a yellow mooring line runs to the stone.

Shot list

0.0s–4.0s — Wide tracking shot, eye level, camera moving backward
The camera walks backward ahead of the four women as they stroll toward it down the marina promenade, framed head-to-toe, laughing and chatting in French; warm lamplight and palm trees behind, slight handheld bob.

4.0s–6.0s — Medium shot, eye level, backward track + quick left pan
The woman in the purple dress surges ahead of the group toward the lens, one arm raised, hair flying; the camera, on their left, keeps tracking back and pans to hold her.

6.0s–8.0s — Medium-wide, camera tilts down-left to follow, whip motion
She reaches the quay edge between the moored luxury yachts and launches headfirst over the edge; the handheld camera whips left and tilts down to chase her off the stone.

8.0s–10.0s — High-angle wide, looking down at the water, slight jolt
From up on the quay the camera looks down as she plunges headfirst into the blue-turquoise water in the slip between the big yacht hulls — a big splash, the underwater lights glowing around the impact; the handheld frame jolts slightly with the motion.

10.0s–13.0s — High-angle medium, looking down, small handheld drift
She surfaces in the teal water, gasping and laughing up at the camera, hair slicked back, treading water.

13.0s–16.0s — Handheld tilt up and back down, slight zoom
The camera lifts off the water and tilts up to a person leaning on the deck railing of one of the moored luxury yachts, watching her in the water, then tilts back down and zooms slightly in on her still treading and laughing.

16.0s–20.0s — High-angle medium, tilting to follow her up
She swims to the stone quay wall, reaches up and grabs a thick dark mooring pole, and hauls herself out; the camera tilts upward with her as she rises from the water, legs braced on the stone.

20.0s–23.0s — Low/close medium at the quay edge, static handheld
She climbs onto the stone lip, rolls onto her side, soaked dress clinging, then pushes up to her feet; the camera holds close, catching the water running off her.

23.0s–27.0s — Medium shot, eye level, loose handheld reframe
Back on the promenade, dripping wet, she flips her long wet hair forward and wrings it out, laughing, as her friends and passing pedestrians move behind her.

27.0s–30.0s — Medium shot, eye level, camera settles
Still dripping, she straightens up and strikes a confident, playful pose for the camera — hand on hip, tossing her wet hair back with a big smile — her friends laughing around her; the camera holds on the pose to end.

Audio

Live sync sound — friends laughing and shouting excitedly in French, a scream at the leap, a big water splash, water sloshing against the yacht hulls, wet footsteps on stone, ambient night marina sounds.
No music.

Style

Raw amateur vertical phone footage, natural night lighting, warm street lamps mixing with the turquoise underwater yacht glow, authentic handheld motion.

[marcus @marcusyul]

Este tipo explicó cómo creó 3 webs que le generan 100,000$ al mes.

En 25 minutos muestra cómo lo hizo, paso por paso. Totalmente gratis.

Idea → Web → Monetizar

🔖 Créeme: no lo dejes pasar.

[Machina @EXM7777]

i'm about to leak an internal document from a BIG company...

it details the exact process they're using to produce multi-million dollar AI movies with Seedance 2.5 at 1080p on Higgsfield

steal the workflow:

> the model has no memory, so the pipeline is built to remember for it
> every character gets a passport... an exhaustive descriptor copied word for word into every prompt
> nothing renders until assets hit 10 out of 10 repeatability
> two written gates: boards carry decisions, registry rows read locked
> every shot prompt is the same 15 blocks, and an attempt changes one line
> a 30 second one-shot is written as four timed beats
> reshoots cost minutes, so the edit runs while scenes generate
> color, sound and master stay human

the full pipeline + the 7 free skills are in the article below:

[Stav Zilbershtein @mightyking]

Some people still think AI does't look real - This video just ended the argument

Made with Seedance 2.5 1080p on maxfusion

Full prompt:

Raw vertical phone video (UGC), handheld throughout, filmed by a friend who walks with the group, casual sway, natural night lighting, wide-angle lens, deep focus.

Characters: The hero is a young woman with long dark hair in a deep-purple one-shoulder dress with a small shoulder bag. Her three friends: one in a dark brown dress, a blonde in a black wrap dress, a blonde in a white mini dress — party dresses and sandals. Laughing, spontaneous night-out energy.

Setting: A luxury marina at night — a stone quay along a narrow water slip flanked on both sides by large moored luxury yachts, big white hulls rising on either side, masts and rigging above, fenders on the hulls. Warm orange street lamps, palm trees, distant city lights. The yachts glow with blue-turquoise underwater LED lights spilling into the water; a yellow mooring line runs to the stone.

[0.0s–4.0s] — Wide tracking shot, eye level, camera moving backward. The camera walks backward ahead of the four women as they stroll toward it down the marina promenade, framed head-to-toe, laughing and chatting in French; warm lamplight and palm trees behind, slight handheld bob.

[4.0s–6.0s] — Medium shot, eye level, backward track + quick left pan. The woman in the purple dress surges ahead of the group toward the lens, one arm raised, hair flying; the camera, on their left, keeps tracking back and pans to hold her.

[6.0s–8.0s] — Medium-wide, camera tilts down-left to follow, whip motion. She reaches the quay edge between the moored luxury yachts and launches headfirst over the edge; the handheld camera whips left and tilts down to chase her off the stone.

[8.0s–10.0s] — High-angle wide, looking down at the water, slight jolt. From up on the quay the camera looks down as she plunges headfirst into the blue-turquoise water in the slip between the big yacht hulls — a big splash, the underwater lights glowing around the impact; the handheld frame jolts slightly with the motion.

[10.0s–13.0s] — High-angle medium, looking down, small handheld drift. She surfaces in the teal water, gasping and laughing up at the camera, hair slicked back, treading water.

[13.0s–16.0s] — Handheld tilt up and back down, slight zoom. The camera lifts off the water and tilts up to a person leaning on the deck railing of one of the moored luxury yachts, watching her in the water, then tilts back down and zooms slightly in on her still treading and laughing.

[16.0s–20.0s] — High-angle medium, tilting to follow her up. She swims to the stone quay wall, reaches up and grabs a thick dark mooring pole, and hauls herself out; the camera tilts upward with her as she rises from the water, legs braced on the stone.

[20.0s–23.0s] — Low/close medium at the quay edge, static handheld. She climbs onto the stone lip, rolls onto her side, soaked dress clinging, then pushes up to her feet; the camera holds close, catching the water running off her.

[23.0s–27.0s] — Medium shot, eye level, loose handheld reframe. Back on the promenade, dripping wet, she flips her long wet hair forward and wrings it out, laughing, as her friends and passing pedestrians move behind her.

[27.0s–30.0s] — Medium shot, eye level, camera settles. Still dripping, she straightens up and strikes a confident, playful pose for the camera — hand on hip, tossing her wet hair back with a big smile — her friends laughing around her; the camera holds on the pose to end.

Audio: Live sync sound — friends laughing and shouting excitedly in French, a scream at the leap, a big water splash, water sloshing against the yacht hulls, wet footsteps on stone, ambient night marina sounds. No music.

Style: Raw amateur vertical phone footage, natural night lighting, warm street lamps mixing with the turquoise underwater yacht glow, authentic handheld motion.

[Puspa @mutyapuspa]

China rebuilt the razor from the ground up, and people are already calling it the Rolls-Royce of shaving.

[Aeron @aeronxbt]

He's flexing $40,000 a month on World Cup videos.

The channel he's actually logged into is called Dog Central.

You can see it in the corner at 0:55. You can see it again at 2:00 when the software prints "Channel niche: Dogs" right above the button that generates a 3-minute documentary about Messi and Ronaldo.

He doesn't notice. He keeps clicking.

Idea. Thumbnail. Script. Voice. 32 scenes. 128 credits. A finished video about why America will win 2026, rendered inside an account built for golden retrievers.

The dashboard he shows earlier says $6,637 in 28 days. The dates on the graph are June 2026. The World Cup hasn't happened yet.

None of this is the point.

The point is what's actually under the hood of VidEdge. A prompt that says "viral, high-CTR YouTube thumbnail built on the 3-ELEMENT RULE." A script generator that writes 593 words in 12 seconds. A scene splitter that breaks narration into 32 visual beats.

That's Claude with a paint job. $100/month for the paint job.

The same script, the same hook, the same 32-scene breakdown runs on a Claude subscription for $20. The voice is ElevenLabs. The footage is stock. The thumbnail is one prompt away.

He's selling the dream of $40k/month from a channel he hasn't actually uploaded to.

The guide is free if you comment.

The system is free if you read.

[断浪 WaveKing @waveking1314]

卧槽！兄弟们！

这个开源项目真像一台内容印钞机。

MoneyPrinterTurbo
GitHub 1.3 万星，中国开发者做的，免费开源。
它能自动生成短视频。

脚本
配音
字幕
素材
剪辑

一条流程直接跑完，最后吐出能发 TikTok、Reels、YouTube Shorts 的成片。
以前做短视频，要买一堆工具。
写脚本一个
配音一个
字幕一个
素材一个
剪辑一个
现在它全塞进一个工���流里了。
最狠的是：

别人还在为这些工具月月付费。

你直接白嫖开源版。

https://t.co/GAoWUyfwWj

[Blake Ryan @blakefakhoury]

yet another $5k/month channel posting 2-3 hour long AI sleep videos..

this sh*t is way too slept on 🤣

[청산의달인 @jk_sats]

일본 예능 숏츠로 월 1,000 버는 육아맘 ㄷㄷ.

쌍둥이 키우는 한 워킹맘이 일본 시장
유튜브 숏츠 운영하는 방법을 풀어준
영상을 보게 됨.

같은 콘텐츠를 한국과 일본에 동시
운영했더니 한국:260만원
일본:690만원 약 2.6배 차이가 났다는 거.
같은 영상, 같은 노력, 시장만 바꿨음.

** 일본 숏츠 조회수가 더 높은 이유

1. 공급자가 적다
- 일본 인구는 한국의 2배
- 그런데 유튜브 크리에이터는 훨씬 적음
- 일본은 겸업금지 문화가 강해서
직장인이 부업으로 유튜브 안 함
- 결국 일본 쇼츠 채널 ���다수가
한국인이 만든 채널

2. 경쟁자 밀도 차이
- 한국 채널 20개 = 일본 채널 3개
- 비슷한 콘텐츠 만들어도 일본은
거의 무경쟁
- 한국은 편집 디테일 안 잡으면
터지지 않음

3. 단일 언어 시장
- 한국어·일본어 둘 다 단일 언어
- 미국 시장은 영어 쓰는 나라가 많아
인도 등으로 시청자 분산
→ 조회수 단가 떨어짐
- 중국은 대만·홍콩·본토 언어가
다 달라서 진입 어려움
- 일본은 단일이라 진입 쉬움

4.해외 콘텐츠 재가공 구조
- 직접 촬영 채널은 재능 영역
- 유튜브 채널의 약 90%가 양산형
(타인 영상 재가공)
- 미국 저작권법 '공정 사용(Fair Use)'
원칙: 자기 해석·논평이 들어가면
타인 영상 활용 가능
- 단순 컷·복붙은 위반,
새로운 관�� 추가하면 허용

5. 소재 확보
- 해외 예능은 시즌 누적이 많음
(예: 아메리칸 아이돌 24시즌)
- 미국·중국·프랑스·스페인·영국 등
소재 무한
- 같은 영상도 시간 텀 두고 재활용
가능 ('아는 맛'이 잘 팔림)

** 특히 인상 깊었던 멘트

"일본에는 25시즌 이상 가는 예능이
많고, 그게 다 소재"

"고든 램지 한 영상이 1억뷰 찍었고,
그걸 가져와서 한국에 만들었더니
또 800만뷰 나왔다.
재탕 3탕도 다 터진다"

"미국은 영어 단일이 아니라 인도까지
시청자가 분산돼서 단가가 안 나온다.
차라리 일본이 단일 언어라
진입이 쉽다"

"방송사는 자기 콘텐츠가 화제되는 게
좋아서 잘 단속 안 한다.
사람들이 더 많이 알면 알수록 좋음"

결론은,
같은 노동을 어디서 파���냐로 단가가
2~3배 갈린다는 점. 한국어 → 일본어
한 단계 옮기는 것만으로 같은 시간
대비 수익이 점프함.

이게 가능한 이유는 결국 '한국인 +
일본 시장' 조합이 가진 정보 차익이
존재하기 때문. 한국인은 일본 시장에
쉽게 진입 가능한데, 일본인은 겸업
금지로 진입을 안 함.

부업도 결국 '뭘 하느냐'보다
'어디서 파느냐'가 더 큰 변수라는
사실이 다시 보이는 사례인 듯...🥺

[Storm @richoffyoutube]

This guy just gave everyone the blueprint to claim your first 100k youtube play button without effort.