r/Seedance_AI

Once you turn off the NSFW checker, the image and prompt which would be rejected by other platforms, can be used! And it’s 100% Seedance!

Website: https://cyberbara.com/seedance2.0?utm\_source=r2

Text prompts are terrible at precise, mechanical motion. Ask for a clock hand to sweep exactly once, or an object to trace one specific arc, and the model approximates it and drifts. Words are just not a good way to specify exact movement, and no amount of rewording fixes it.

So stop describing the motion and draw it. In After Effects, or honestly any tool that lets you animate a simple shape, make a control track: a single moving line or dot that traces the exact path and timing you want, on a plain black background. That drawn track is your motion guide, and it takes a minute to make.

Then feed the model two things, the still image for the look, and the guide clip for the motion. Seedance takes the appearance from the image and the exact movement from the guide, so the element follows your drawn path to the second instead of the model guessing at what you meant. Image controls what it looks like, the track controls how it moves.

This unlocks the stuff a prompt can never nail. Clock hands, gauges, an object on a precise arc, a light sweeping an exact route, second-perfect timing on a specific element. And the skill floor is low, because even someone who does not really use motion software can draw one moving line. Do not describe precise motion. Draw it, and hand the model the path.

been chasing the specific late-80s / early-90s ova anime look, that flat cel shading with the slightly grainy film transfer, not the clean modern digital anime style everyone defaults to. did a gender-swap martial artist character on a beach as the test.

the era look is harder than it sounds. most models render "anime" as 2020s digital, all smooth gradients and glossy eyes. i wanted the limited-palette cel look with hard shadow edges.

what got me close:

- prompted "1990 cel animation, hand-painted backgrounds, limited color palette, film grain transfer" instead of just "retro anime"

- asked for "hard-edged cel shadows, no gradient shading" to kill the modern soft look

- kept the background painterly and slightly faded so it read like an old ova frame not a screenshot

the motion still has that too-smooth ai interpolation on the walk cycle, real cel would drop frames. but the shading and palette landed the era.

nsfw tag on for the swimwear. this was a style test, the 90s cel look is what i was after.

Wan Spicy uncensored lineup is here if you want to try the 90s cel look: uncensored models.

Most people try to make a clip feel warm by adding cinematic flourish, and it backfires into a commercial. The emotion in a quiet slice-of-life clip comes from one small genuine human gesture, and the actual craft is getting everything else out of its way.

The clip is nothing on paper. A young woman walks down a narrow alley at golden hour, notices a stray tabby cat, slows, crouches, and hesitantly reaches out a hand. The cat sniffs it, then headbutts her palm, and she smiles and follows it down the lane. That single hesitant reach is the whole emotional beat. Everything in the shot exists to protect it.

Restraint is what lets it land. Pure visual, no dialogue, no music, no sound design at all, warm golden-hour light, soft handheld movement, light film grain, natural shadows, fully photoreal live-action, not a game look, not animation. A score would tell the viewer how to feel and kill the moment on contact. The quiet is exactly what makes the small gesture read as real instead of staged.

I wrote it second by second, but every beat is about her attention and the cat's reaction, never the camera showing off. The camera just follows at a natural handheld pace, it never performs. Build the whole thing around one honest gesture, then get out of its way.

I've been looking at how rapidly we can establish stakes and aesthetics in modern media workflows. This 45-second sequence is a humble case study, packing three entirely distinct visual genres back-to-back:

1️⃣ A dreamworld-esque animal heist with CG texturing and immediate narrative tension.
2️⃣ A shift to a tactile, stop-motion-style winter fantasy that focuses on environmental lighting.
3️⃣ A hand-painted 2D style stand-up set that tries to capture a grounded, cynical reality.

The contrast in lighting, art direction, and dialogue tells you exactly what genre you're looking at before the characters even finish their lines. For those of us used to old post-production workflows, this kind of rapid context-switching is a great exercise in visual storytelling.

Which of these three concepts has the strongest hook for a full project (if any)?

They charge you an arm and leg for 5 seconds generations anyways well before you even start making video you need to pay a 40 dollar basic subscription

The earthquake wasn't the real test.

The real test was whether you could notice fear without becoming it.

In this training mission, Korvayn enters a simulated earthquake—not to save the world first, but to recognize the mind that projects it.

What if the images aren't the problem?

What if the mind watching them is where healing begins?

Train the mind.

The world will follow.

哪吒闹海，小时候被这一段感动坏了...试着用Seedance 重置了一下...看看ai能不能用来叙事和表达感情...
One of the most tragic scenes in Chinese mythology and a classic moment in Chinese animation; I’ve remastered it using Seedance, and I hope you enjoy it.
Workflow in comments

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Prompt:

Main subject: young Korean woman, early 20s, natural everyday appearance, faded charcoal-grey sleeveless crop top, loose high-waisted light-wash jeans, black canvas sneakers, black cord necklace, black wavy hair in a messy side ponytail with wispy bangs. Realistic skin texture, minimal makeup, warm and approachable personality. Maintain consistent identity, clothing, hairstyle, and appearance throughout the entire video.

Location: Authentic Korean residential neighborhood during a calm late morning. Narrow concrete alleys, low-rise homes, small terraces, potted plants, laundry lines, bicycles, utility poles, overhead wires, mature trees casting moving shadows, quiet residential atmosphere. No stores, advertisements, cafés, crowds, or commercial activity.

Visual Style: Ultra-realistic documentary realism. Genuine candid behavior. Natural body language. Unscripted slice-of-life feeling. Strong environmental authenticity. Rich real-world details and believable human motion.

Camera Style: Early-2000s consumer DV camcorder aesthetic. Friend casually recording everyday moments. Heavy handheld shake, imperfect framing, frequent autofocus hunting, lens breathing, exposure pumping when moving between sun and shade, occasional motion blur, subtle rolling shutter, mild digital compression artifacts, faded colors, soft contrast, slight sensor noise. No stabilization. No cinematic camera moves. No modern color grading.

00:00–00:02

Outside a small house entrance. She sits on a low concrete wall adjusting her ponytail with both hands raised. A light breeze moves loose strands of hair. She smiles naturally while the camera struggles to hold focus.

00:02–00:04

The camera follows her into a narrow alley lined with potted plants and concrete walls. She notices a stray cat approaching and crouches down. Framing drifts off-center as the operator tries to keep up.

00:04–00:06

She gently pets and feeds the cat. Autofocus repeatedly shifts between her face and the animal. Morning sunlight flickers through leaves overhead.

00:06–00:08

Small front yard beside her house. She hangs laundry on a clothesline while fabrics sway in the breeze. Exposure changes as clouds briefly pass overhead.

00:08–00:10

On a quiet terrace with a ceramic coffee cup. She sits comfortably watching the neighborhood, occasionally brushing hair behind her ear. Loose handheld side angle with natural camera drift.

00:10–00:12

Close side profile. Someone off-camera greets her. She turns, raises her hand, smiles warmly, and casually says, “Annyeong.” The camera catches the moment slightly late.

00:12–00:15

Walking slowly down a tree-lined residential lane holding her coffee cup. She notices the camera, gives a small genuine smile, then looks away and continues walking. Recording cuts abruptly to black mid-motion as if the camcorder was switched off.

Audio: Natural ambient sound only — morning birds, distant motorcycles, light wind, leaves rustling, faint neighborhood chatter, cat sounds, footsteps on concrete, fabric moving on clotheslines, subtle residential ambience. No music. No sound design. No narration.

Goal: Authentic Korean neighborhood life captured like a forgotten home video from the early 2000s — candid, imperfect, realistic, warm, and deeply believable.

One last output example from this experimental multi-source video player designed for frame-accurate video switching, playback manipulation, and a few other hopefully interesting things.

Want access to the updated system + a detailed breakdown of exactly how I achieved the continuous motion effect on this piece? You can freely access the system from my Patreon, or the Store.

PS: I’ll be arriving in Europe in a few weeks. Looking forward meeting friends, artists, and colleagues along the way. Feel free to reach out if you’re around!

AI fight scenes almost always fail the same way. Both characters flail in the same direction with no cause and effect, so it reads as two people shadowboxing near each other instead of actually fighting. The model does not know who is acting and who is reacting, so nobody really is.

The fix is to write the fight as call-and-response, beat by beat, and name the action and its specific reaction every time. Not "they fight." One strikes, the other blocks and counters. One fires a ranged burst, the other dodges at the last second and closes the distance. One throws, the other lands on their feet and fires back. Every window in the timeline is one action and the exact reaction it forces. That is what turns chaos into an exchange.

I ran it as a second-by-second timeline for two original superhuman fighters on open rocky terrain, fifteen seconds, one continuous take. They circle and trade the first exchange, then a ranged energy burst gets dodged and countered, then a throw and a recovery, then a final blast that gets blocked and pushes the blocker back through the dust. Each block of time states who does what to whom, so the model animates a real back and forth.

Two things hold it together. Lock both fighters' exact designs through the whole clip, because consistency is the first casualty of fast action. And shoot it as raw handheld found footage, shaky and low-fi, so the amateur camera makes the impossible powers read as something a bystander actually filmed. Choreograph the exchange. Do not describe a brawl.

A solo creator putting out a five-minute AI sci-fi episode is impressive, but not for the reason people think. Any single cinematic shot is easy now. Five minutes of them that actually feel like one film, one world, one logic, is the hard part, and it is not solved shot by shot.

What holds it together is a world bible written before any video exists. Not a character sheet, a world. The premise nailed down: a fallen empire, a hundred years later, machines that replaced human labor, a city rising out of the ruins. Then the visual rules: the palette, the kind of decay, how the tech looks, how light and haze behave in this place. Then the recurring anchors that show up across scenes, the battered antique robot, the ruined streets, the specific mood.

Every shot then gets generated against that bible instead of from scratch. That is what stops fifty separate generations from drifting into fifty different films. The world is the through-line, more than any one character. A character can leave the frame, the world cannot, so the world is what the audience is actually tracking across five minutes.

This is the opposite of chasing a viral clip. A great eight-second shot needs one striking look. A five-minute film needs a consistent world across dozens of shots, and that consistency is authored up front, not rescued in the edit. Build the world before you build the shots.

The practical version of a world bible: before generating anything, lock a short doc with the palette, the decay style, the tech look, the light-and-haze behavior, and 2 or 3 recurring anchor subjects, then paste the relevant lines into every shot prompt. That shared block is what keeps dozens of separate generations in one world. Ran the shots on Seedance 2.0