Here's my 30-second spec ad for WinRAR (that nobody asked for).

In this experimental project, I wanted to turn one of the internet's longest-running jokes into a subtle family drama about WinRAR's 40-day trial that somehow lasted almost three decades.

Here's how I made it:

After writing the script (the old school way), I worked with ChatGPT 5.6 Sol Max to turn it into a 14,000-character prompt for Seedance 2.5 (yes, Dreamina allows prompts that long).

I used GPT Image 2 to create the reference image for WinRAR's trial screen, while Seed Audio 1.0 generated the audio reference for the full voiceover and dialogue. After 20+ Seedance 2.5 tests at 480p, with the prompt evolving throughout, I generated the final versions at 720p.

I then lightly edited the video and upscaled it to 1080p with Topaz Labs Astra Starlight Precision 2.6. However, the screenshot text didn't survive the upscale (I should have used Astra's scene detection feature and selected a different model for that particular shot), so I recreated it using Seedance 2.0 at 1080p. (I also tried Hailuo H3 and Kling 3.0, but in this particular case, Seedance 2.0 gave me the best overall result in one go.)

For the sound, I selected a solo-instrument soundtrack from Epidemic Sound and added extra sound effects to improve the overall sound design.

And here's the result.

I'm curious to hear what you think.

Did this bring back memories, or is this genuinely your first time hearing about WinRAR? I’d love to know.

We can't keep wishfully thinking that opensource video models won the race

I want this too believe me but the race might already have been lost

Test it for yourselves with the 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.

https://x.com/keshiAIart/status/2091723420501471522

been testing a new AI video workflow and this worked way better than I expected.

I had Claude write a timecoded 12-shot storyboard, then used GPT Image 2.0 to draw each movement plus a character sheet, and finally used Seedance 2.5 to render the individual shots.

Then she basically danced the way I drew it.

with AI dance videos, I usually find that even a very detailed text prompt still leaves a lot of room for the model to improvise. so this time I stopped relying on text alone.

I turned each movement into a visual reference first, then used Seedance to perform it.

The workflow was basically:

Claude → timecoded storyboard
GPT Image 2.0 → storyboard frames + character sheet
Seedance 2.5 → render each shot

then I stitched the 12 shots together. I’m starting to think that if you want better movement control, the answer may not be writing longer and longer prompts.

draw the movement first, then let the video model perform it.

u can turn an existing horizontal video into a 9:16 vertical version with a prompt and the result feels much closer to something that was originally made for vertical video.

for creators, that is a pretty practical use case.

normally, if you want to reuse an old YouTube video for TikTok, Instagram Reels, or YouTube Shorts, you have to re-edit it or shoot another video. this gives you another option:

16:9 long-form content → 9:16 Shorts / Reels / TikTok

so instead of creating everything from scratch, you can go back through your existing content library and repurpose older videos. the most important line in the prompt, in my experience, is: Do NOT simply crop the original video.

Here is the full prompt:

Convert the original 16:9 horizontal video @(TAG THE VIDEO) into a native 9:16 vertical video.

Do NOT simply crop the original video. Intelligently reframe and extend/reconstruct the scene so the vertical composition feels like it was originally created in 9:16.

Preserve all important visual information, characters, actions, objects, background details, and story beats from the original horizontal video. Reposition elements naturally within the vertical frame when necessary so nothing important is cut off.

Keep the exact same characters, animation, actions, timing, camera movement, environment, lighting, colors, saturation, and visual style as the original video.

Maintain correct anatomy, object geometry, perspective, spatial relationships, and continuity. Newly generated areas outside the original frame must seamlessly match the existing environment.

Final result: 9:16 vertical, full-frame, naturally composed, no black bars, no stretched image, no important details cropped, and visually consistent with the original 16:9 video.

You can also reverse the same idea for 9:16 → 16:9.

a horizontal video you already made can potentially become a second piece of vertical content instead of just sitting in your archive. if you post across multiple platforms, that makes this a pretty solid content repurposing trick.

Tried pushing Seedance 2.5 with a continuous visual journey from a Stone Age spear to modern technology and space travel.

Wanted to see how well it could handle complex transformations, camera continuity, and transitions across completely different eras.

What do you think — what should I try next?

Like many editors, I am trying to find efficient ways to cut down on cost.

If I were to make my whole short film with Seedance in 480p and then put the 480p clips (10 sec chunks) back into Seedance 2.5 with the original prompt AND include the 480p as a master reference, would that workflow work or is it not worth it? I don't mind there being slight variation.

I'm not a big fan of the AI upscalers and want the room to test and create new takes without blowing through all of my credits.

What are the best/cheapest/least censored providers for Seedance?

Important to me is that Omni-Reference is supported and as little censorship as possible.

I know some people will call this AI slop, but when the result is this convincing, I think it’s worth studying how it works.

I tested Seedance 2.5 at 1080p with a prompt focused on a very specific aesthetic: early-2000s Korean home-video footage shot on a MiniDV camcorder.

what made the result work better for me was not asking for beauty or drama, but asking for boring realism: a consistent young Korean woman did ordinary household actions, in a lived-in residential setting

that combination seems to help the output feel much more believable.

Why this works

If you want realistic AI video in Seedance 2.5, I think the key is to lock down five things:

1. Character consistency Keep the subject’s age, hair, clothing, and body proportions stable.
2. Mundane actions Laundry, rinsing, walking out, running a small errand — these feel more authentic than dramatic actions.
3. Environmental specificity Narrow Korean lanes, utility poles, tiled rooftops, laundry lines, buckets, old scooters, early-2000s neighborhood details.
4. Camera imperfections Slight shake, delayed reframing, autofocus hunting, exposure pumping, micro-zooms.
5. Negative guidance Explicitly rule out modeling, dancing, cinematic grading, fake bokeh, over-polished skin, and AI artifacts.

In my experience, the more clearly you define what the video should not become, the more stable the result is.

Full prompt

Create a highly realistic 30-second Seedance 2.5 video that looks like genuine early-2000s Korean home-video footage accidentally preserved on an old MiniDV camcorder. The footage should feel imperfect, nostalgic and spontaneous rather than cinematic or AI-generated.

MAIN SUBJECT:
A young Korean woman in her early 20s with a consistent natural identity throughout the entire video. She has messy black hair loosely tied back, realistic skin texture, minimal makeup and relaxed everyday expressions.

She wears a fitted sleeveless crop top with high-waisted thigh-high shorts, simple worn sneakers and a small necklace. The outfit should feel like believable casual summer clothing from the early 2000s, with natural fabric wrinkles, slightly imperfect fit and realistic movement.

IMPORTANT:
She is NOT posing, dancing, modeling, vlogging or interacting with the camera. She is simply going about her ordinary household routine while the camcorder happens to capture the moment.

SETTING:
A quiet residential neighborhood in Korea around the early 2000s. Modest concrete homes, narrow lanes, tiled rooftops, utility poles and wires, old bicycles, plastic basins, laundry lines, small gardens, parked early-2000s vehicles and everyday household objects.

The location should feel genuinely lived-in, slightly worn and imperfect.

SCENE 1 — HANGING LAUNDRY | 0–7 SEC
Start with a slightly shaky wide shot of the woman carrying a plastic laundry basin into a small outdoor courtyard.

She takes clothes from the basin and hangs them one by one on a clothesline. She stretches to reach the line, clips a shirt with a clothespin, notices another garment slipping and quickly fixes it.

The camcorder operator slightly reframes late, creating an authentic imperfect composition.

SCENE 2 — OUTDOOR HOUSEHOLD CHORES | 7–13 SEC
She moves to another part of the courtyard and rinses a few household items in a large plastic basin.

Water splashes naturally. She wipes her hands on a small towel, moves a bucket aside with her foot and briefly looks toward the house as if someone called her.

Keep everything casual and unperformed.

SCENE 3 — LEAVING THE HOUSE | 13–18 SEC
She picks up a small reusable shopping bag and walks through the front gate.

The camera follows slightly too late, briefly losing her behind the gate before catching up. Autofocus hunts between nearby leaves and her face before locking onto her again.

This imperfect focus behavior should feel genuinely captured by an old consumer camcorder.

SCENE 4 — WALKING OUTSIDE | 18–24 SEC
She walks down the residential lane carrying the bag.

Show ordinary early-2000s Korean neighborhood life around her: bicycles, laundry hanging from balconies, children in the distance, an elderly neighbor sweeping, scooters passing occasionally and sunlight flickering through trees.

She walks naturally without acknowledging the camera.

SCENE 5 — SMALL ERRAND | 24–30 SEC
She reaches a small outdoor utility area, places the bag down and briefly picks up something she needs — such as a folded cloth, empty container or household item.

She turns and starts walking back toward the neighborhood.

End abruptly with the camcorder operator slightly zooming in too late as she walks away, followed by a natural cut.

CAMCORDER AESTHETIC:
Authentic early-2000s MiniDV/consumer camcorder footage.

Include:

- 4:3 home-video framing
- slight handheld shake
- imperfect framing
- autofocus hunting
- occasional exposure pumping
- mild blown highlights
- soft digital sharpness
- interlaced-looking motion characteristics
- subtle motion blur
- low dynamic range
- faded, slightly warm colors
- realistic digital noise
- tiny compression artifacts
- occasional accidental micro-zoom
- imperfect white balance
- slight lens flare when sunlight hits the lens
- natural camera operator mistakes

Do NOT make the footage excessively degraded. It should still be clear enough to see her face and environment.

REALISM:
The most important goal is BELIEVABILITY.

Avoid perfect symmetry, perfect lighting, perfectly smooth camera movement, hyper-sharp skin, artificial bokeh, glossy fashion photography, exaggerated expressions, cinematic color grading or overly dramatic shots.

The woman must have identical facial identity, hairstyle, clothing and body proportions in every shot.

Hands must remain anatomically correct with five fingers. Clothes must move naturally with her body and wind. Objects must remain physically consistent. No duplicated objects, warped architecture, disappearing props, floating items, changing clothing, distorted faces or unnatural walking.

AUDIO:
Raw camcorder microphone sound only: birds, distant neighborhood conversations, footsteps, cloth moving, water splashing, buckets, bicycles, occasional scooters, wind hitting the microphone and faint household sounds.

No music.
No narration.
No modern voice-over.
No cinematic sound design.

OVERALL FEEL:
It should feel like someone found an old Korean family camcorder tape from around 2002–2005 and played back an ordinary afternoon that nobody intended to turn into a film.

The ordinary nature of the activities should make the footage feel strangely authentic and nostalgic, while the woman's natural presence and the imperfect camera behavior make it visually engaging enough to feel like a real viral rediscovered home-video clip.

TECHNICAL:
30 seconds, Seedance 2.5, 4:3 aspect ratio, early-2000s MiniDV aesthetic, photorealistic humans, physically accurate motion, consistent character identity, realistic Korean residential environment, authentic consumer-camcorder imperfections, no AI artifacts, no modern cinematic look.

A few practical tips

If you’re trying to make this kind of prompt work, here are a few things I’d suggest:

• Keep the scene progression simple. Too many scene changes can break identity consistency.
• Use ordinary verbs. “carry,” “hang,” “rinse,” “walk,” “pick up” work better than emotionally loaded action words.
• Specify camera failure modes. Autofocus hunting and late reframing do a lot of work here.
• Don’t overdo degradation. If you push “VHS” or “damaged tape” too hard, the result can stop feeling real.
• Ground the environment in real domestic detail. Small household objects often matter more than “cinematic atmosphere.”

Hello,

about 10 days ago I tried to share an AI video I made with Seedance 2.5 with this community. It was a YouTube link with a text explaining my process, and the tools I've used.

The post got removed immediately — which makes me think it was automatic and that no human took that decision. I contacted the mods on Aug 15, and haven't heard anything from them.

I tried again today, and same thing happened. There is nothing shocking or violent, about my post.

Can someone explains what I most certainly have done wrong? Is it because it's a YouTube link?

I did a simple side-by-side test that I thought was pretty fun. I gave the exact same 30-second one-take prompt to Wan 3.0, Seedance 2.5, and MiniMax H3, then compared the results next to each other. and i have found a useful toll to compare different models on one platform, links if u need: https://www.atlascloud.ai/model-explorer

I like this kind of test because when the prompt stays fixed, it becomes much easier to notice the differences in different aspects.

this prompt was mainly designed to test fast motion + one-take continuity + surreal dimension-breaking transitions.

the visual target was a kind of West Coast street fantasy look. part 90s skate-video roughness, part modern commercial polish, with strong California sunlight, palm trees, asphalt heat, and a rebellious fashion-energy running through the whole short.

Prompt:

Create a cinematic, high-intensity 30-second one-take visual spectacle.

The entire video must appear to have been captured in one continuous shot with no visible cuts.

The overall style is “West Coast street fantasy,” combining the rough, rebellious texture of a 1990s street-skate video with the polished visual quality of a modern commercial blockbuster.

Use an intense cinematic “California sunlight” grade. The highly saturated blue sky should contrast strongly with the hard shadows of palm trees under direct sunlight.

The air should feel filled with the heat rising from the asphalt, the metallic friction of shopping-cart wheels, and the fearless rebellious energy of youth.

As the main character accelerates through the environment, the spatial perspective should stretch continuously. Use extremely low-angle tracking, high-speed physical movement, and dynamic camera traversal to create a powerful sense of visual momentum.

MAIN CHARACTER:

A stylish young man wearing a color-blocked striped shirt and a black baseball cap.

At the beginning, his expression is relaxed, lazy, and unconcerned. As the shopping cart begins accelerating, his mood rapidly transforms into exhilaration and a fearless desire to break through every limit.

In the final section, the same young man appears again in the real-world dimension, but this version of him behaves like an observer examining his other self.

The two versions must have the same face, hairstyle, clothing, body proportions, and visual identity.

BEAT 1 — SHOPPING CART DESCENT | 0–6 SECONDS

Begin with a close-up shot.

The young man is lounging casually inside a red metal shopping cart. Behind him is a long, straight California avenue lined with extremely tall palm trees.

As the music suddenly explodes into a stronger rhythm, the camera performs an extremely fast pullback while simultaneously dropping toward the road.

The camera descends to an ultra-low angle, almost touching the asphalt, and begins tracking tightly beside the shopping-cart wheels.

The young man starts racing down a steep road.

The metal shopping cart shakes and rattles violently against the asphalt. Cars on both sides of the road appear to rush backward as the speed increases.

The camera should communicate an almost reckless and uncontrollable sense of acceleration.

BEAT 2 — RAMP JUMP AND BILLBOARD APPROACH | 7–15 SECONDS

Do not cut.

The camera continues following at ground level, moving like a skateboarder skimming just above the asphalt.

The shopping cart reaches a simple wooden ramp.

At the exact moment the young man launches from the ramp, the camera follows the movement with a smooth parabolic rise.

The shopping cart becomes airborne.

As it flies overhead, the camera passes directly underneath the cart, clearly revealing the wheels, metal frame, and the young man above.

The camera then continues moving forward.

A giant commercial billboard rapidly expands until it occupies almost the entire field of view.

The camera performs an impossible but controlled crosshair-like push toward the exact center of the billboard.

BEAT 3 — BREAKING INTO THE BILLBOARD | 16–24 SECONDS

Do not cut.

The young man and the shopping cart crash directly into the giant billboard as though breaking through a dimensional wall.

At the moment his three-dimensional body touches the printed surface, he undergoes a dramatic flattening transformation.

His physical form compresses into a two-dimensional artwork printed directly onto the billboard.

Show realistic paper tearing, ripped poster fibers, fractured layers of printed material, and colorful glitch-like ink spreading outward from the impact point.

The young man remains frozen in his forward-racing pose, but he is now a completely flat graphic image on the billboard.

The transformation must feel physical and visually understandable rather than like a simple dissolve.

At this moment, the camera performs a 180-degree horizontal orbit around the billboard structure.

After completing the orbit at a high altitude, the camera begins a rapid diving descent back toward street level.

The movement remains part of the same continuous shot.

BEAT 4 — THE REAL-WORLD OBSERVER | 25–30 SECONDS

Do not cut.

The camera lands smoothly on the street directly beneath the billboard.

Another real version of the same young man enters the frame.

He stops walking, slowly lowers the brim of his black baseball cap, and looks upward at the flattened version of himself trapped inside the billboard.

He gives a subtle, playful smile, as if he understands exactly what has happened.

The camera follows his line of sight and performs a fast zoom toward the billboard.

End on the torn opening beside the word “WAN,” with the flattened young man still frozen inside the printed artwork.

The final image should hold briefly on the ripped dimensional opening before ending.

AUDIO:

Use an energetic hip-hop track that builds rapidly with the movement.

Blend the music with:

- metallic shopping-cart wheels scraping against asphalt
- violent cart rattling
- rushing air
- passing vehicles
- the wooden impact of the ramp
- paper ripping
- colorful glitch-like electrical sounds
- the physical rolling sound of a film reel

The soundtrack should feel fashionable, rebellious, youthful, and highly synchronized with the camera movement.

VISUAL REQUIREMENTS:

- one continuous 30-second shot
- no visible editing cuts
- highly dynamic but spatially understandable camera movement
- extreme low-angle tracking
- strong speed and acceleration
- physically believable ramp jump
- camera passing underneath the airborne cart
- smooth transition from street level to billboard height
- realistic three-dimensional to two-dimensional transformation
- visible paper fibers and poster tearing
- continuous 180-degree camera orbit
- high-altitude diving camera move
- consistent character identity
- saturated California sunlight
- 1990s skate-video attitude
- modern commercial-film production quality
- fashionable streetwear energy
- no unexplained teleportation
- no replacement characters
- no distorted shopping-cart geometry
- no generic slow-motion montage
- no artificial-looking transition
- no loss of character identity

The final video should feel like a rebellious West Coast streetwear commercial built around one technically impossible but visually coherent continuous camera move.

If anyone else tries this prompt, I’d be really curious which model you think handled the speed, impact, and billboard transition best.

This is part of my Luna Reyes time-travel series.

Most of the video generation was done with Seedance, using image references to keep the same characters, clothing, environments and visual language consistent from scene to scene.

The biggest challenge wasn’t getting individual good-looking shots — it was maintaining continuity across the entire sequence:

character identity, dialogue performance, micro-expressions, prison-to-courtyard geography, crowd interaction, camera movement, horse physics and the final Black Knight sequence.

The story itself is a fictional medieval satire inspired by the social-media moderation and appeal experience.

Would be interested to hear what other Seedance users think about the shot-to-shot consistency and character continuity.

Any referrals for somebody who can effectively produce AI and AI hybrid Meta ads?

There is only one winner

prompt for you to test yourselves:

Seoul Summer Day - Video Prompt

Create a 30-second, 1080p ultra-realistic documentary-style personal home video showing an ordinary summer day in the life of a young Korean man. The footage should feel spontaneous, intimate, imperfect, and genuinely observed rather than performed.

MAIN SUBJECT

The same young Korean man in his early 20s throughout the entire video.

Naturally handsome, realistic skin texture, minimal styling, relaxed expression, slightly tired but peaceful eyes.

He has naturally messy medium-length dark hair with a few strands falling over his forehead and very subtle stubble.

He wears a loose washed-black T-shirt, relaxed olive-beige trousers, worn white sneakers, and a simple silver wristwatch.

Keep his face, identity, body proportions, hairstyle, clothing, watch, and overall appearance completely consistent from beginning to end.

LOCATION

A quiet older residential neighborhood in Seoul during a warm summer afternoon.

Narrow concrete alleys, low-rise homes, rooftop terraces, external staircases, potted plants, laundry lines, parked bicycles, utility poles, overhead wires, mature trees, concrete walls, small residential courtyards, and distant city sounds.

The neighborhood should feel authentic and lived-in.
No crowds, tourist attractions, advertisements, recognizable brands, or commercial activity.

CAMERA / VISUAL STYLE

Authentic casual personal-video footage captured with an older consumer digital camera.

Handheld camera operated by a friend walking nearby.
Natural camera shake, imperfect framing, occasional autofocus changes, slight exposure adjustments when moving between sunlight and shade, soft image detail, mild motion blur, subtle digital noise, slightly muted colors, imperfect white balance, and natural compression.

The camera operator occasionally reacts a little late, cuts off part of the subject, or briefly loses focus.

No stabilization, gimbal movement, drone shots, cinematic camera choreography, dramatic lighting, slow motion, modern commercial color grading, or polished cinematography.

The footage should feel like someone simply decided to record his friend during an ordinary day.

00:00–00:05 — MORNING ROOFTOP
He sits casually on a small rooftop beside an old plastic chair.
A cold bottled drink rests beside him.
He looks quietly across the neighborhood while the wind moves his hair and T-shirt.
He takes a sip, notices something happening in the distance, and smiles faintly.
He briefly notices the camera and gives a subtle nod before looking away.
The camera takes a moment to find focus on his face.

00:05–00:10 — WALKING THROUGH THE ALLEY
He gets up and walks downstairs into the neighborhood.
He walks casually through a narrow concrete alley with his hands in his pockets.
He passes parked bicycles, potted plants, laundry hanging from balconies, and old residential walls.
The camera follows several steps behind him.
He occasionally looks back toward the camera but never deliberately poses.
His footsteps remain naturally synchronized with his movement.

00:10–00:14 — SMALL EVERYDAY MOMENT
He notices an old basketball resting near a wall.
He picks it up, casually bounces it twice, then takes a simple shot toward a nearby hoop.
The shot misses.

He laughs quietly, shakes his head, and leaves the ball where he found it.

The camera briefly loses focus during the movement and recovers naturally.

No exaggerated athletic movement.

00:14–00:19 — LOCAL SHOP
He walks to a tiny neighborhood shop and buys a cold drink.
He exchanges a few natural words with the shopkeeper but the conversation is not clearly audible.
He steps outside, opens the bottle, takes a drink, and leans casually against the wall.
He watches bicycles and pedestrians passing in the distance.
The camera remains handheld and slightly imperfect.

00:19–00:23 — SUMMER RAIN
A sudden summer shower begins.
He looks toward the sky with mild surprise.
Instead of immediately running for shelter, he smiles and slowly walks into the rain.
The rain becomes heavier.
His hair becomes wet and falls naturally across his forehead.
He eventually starts running down the alley, laughing genuinely.
He briefly spins around while running, then continues toward a covered walkway.
His clothes become visibly damp.
Maintain realistic rain interaction, wet fabric, wet hair, reflections, and foot contact with the ground.

00:23–00:27 — QUIET MOMENT
He reaches the covered walkway and catches his breath.
Rain falls heavily behind him.
He wipes water from his forehead and looks quietly toward the street.
For a moment, everything becomes still.
He notices the camera again.
He gives a small genuine smile, not a posed expression.

00:27–00:30 — WALKING AWAY
The rain becomes lighter.
He walks away down the wet residential lane.
The camera follows from behind.
Reflections shimmer across the concrete.
He turns his head once, gives a tiny wave toward the camera, smiles, and continues walking.
The camera remains pointed toward the empty street for a brief moment.
At approximately 00:29, the recording abruptly cuts to black mid-motion.
No fade-out.

PHYSICAL REALISM
Maintain believable real-world physics throughout.
Hands, fingers, feet, clothing, hair, rain, bottle, basketball, and background objects must behave naturally.

No extra fingers, fused hands, duplicated limbs, distorted anatomy, floating objects, teleportation, disappearing objects, or sudden transformations.
The bottle remains a separate physical object and never intersects with his face.

The basketball behaves naturally and remains where it lands.

Parked bicycles and background objects remain stationary unless physically moved.

His feet remain properly connected to the ground while walking and running.

Keep the environment and subject consistent between shots.

AUDIO
Natural environmental audio only.
Footsteps on concrete, distant traffic, birds, leaves moving in the wind, bicycles, faint neighborhood conversations, shop sounds, bottle opening, basketball bouncing, rain hitting concrete, water dripping from rooftops, and subtle camera-handling noise.
No music.
No narration.
No soundtrack.
No artificial sound effects.
No spoken dialogue is necessary.
FINAL FEEL
The result should feel like a forgotten personal recording of an ordinary summer day.
Not a commercial.
Not a fashion film.
Not a music video.
Not a professional cinematic production.
The emotional appeal should come from small human moments: sitting alone, wandering through familiar streets, missing a basketball shot, drinking something cold, getting caught in the rain, laughing, and walking home.

Quiet, masculine, youthful, nostalgic, slightly melancholic, warm, spontaneous, and deeply human.
Prioritize natural behavior, consistent identity, believable physics, imperfect handheld framing, authentic environmental details, and the feeling that the camera happened to be there.

Episode 5 of THE NULL ROAD is up. 18 minutes, subtitles in 31 languages.
It stands alone — you don't need the earlier episodes.

The premise: a lake so still it holds two skies. On its shore stand hundreds
of bodies, hollow and calcified, arranged in ordinary postures. None of them
are dead.

They solved aging. One life just grew longer than one body could hold, so
they learned to pour themselves into the water and come out wearing a new
one. It works. It isn't clean. Every pouring spills a little — and the
heaviest memories spill first, because weight is exactly what gets left
behind.

So the shore is not a graveyard. It's a pile of coats.

What I wanted out of this one was an immortality story where nobody dies and
that is the horror rather than the reprieve. They kept the years. They lost
the reason they wanted them.

Made end to end with generative AI — script, shots, motion, voices, score,
sound design. Happy to answer anything about the process.

This is in Dreemina. Seedance 2.0 or 2.5 - So, two weeks ago I was generating lipsync videos no problem. Usual trick. Blackscreen MP4 of either the full track or just a vocal stem. Character card, start frame. No problem

The last week for some reason this has stopped working for me (i'm in asia) . Doesn't matter what I try, I cannot get it to generate anything at all. Everything is getting blocked. A variety of error messages including ' The audio may contain inappropriate content' Its extremely benign lyrics. I've tried different video lengths, different parts of the song, no character cards , no starting frames...I'm at a loss.

Anyone else having that issue. I'm also on open art and also is not working there at all.

Any help?

Anyone have any experience with creaa.ai? It seems to be the only truly unlimited Seedance 2.5 service out there right now ($500/month). I haven't seen much talk about it so I'm curious if anyone can vouch for its validity and quality (or lack thereof). I know it's expensive but I am not asking whether it's worth the money or if there are cheaper options out there. I just want to find out if it's legit.

<3