I tested a GPT Image 2.0 × Seedance 2.5 workflow for a 29-second mother-daughter dialogue scene on Atlas Cloud.

The main thing I learned: if you want convincing AI acting, don’t treat dialogue, facial expressions, and camera as separate pieces.

How to keep characters consistent in Seedance 2.5?

I prepared 3 direct reference images:

• daughter character turnaround
• mother character turnaround
• scene reference for blocking, lighting, and environment

I also made a fourth image just to map the mother’s emotional progression.

Prompt idea:

lock identity, age, body proportions, hairstyle, clothing, lighting, and spatial relationship to the reference images throughout the scene.

How to make AI acting feel more natural

Give each character a clear personality and emotional history before writing the scene.

For this one:

the daughter is cautious but still believes love will be enough.
the mother is haunted by her past and terrified her daughter will repeat it.

Then I mapped specific dialogue beats to emotional changes.

How to structure a Seedance 2.5 acting prompt?

I used 6 blocks:

references → characters → scene → dialogue → camera → performance timeline

The performance timeline was the most important part.

Example:

“your father” triggers a brief flash of memory.
“money ran out” becomes the first emotional break.
“ENOUGH” is the peak, followed by an immediate cut to black.

Instead of just saying “she gets angry,” I defined exactly when the emotion changes and what line causes it.

How do you use camera movement to support AI acting?

I mostly used 50mm and 85mm framing, then gradually tightened the shots as the argument became more intense.

The mother also moves closer while the daughter is pushed back toward the wall, so the blocking itself reinforces the emotional pressure.

My takeaway:

references + character history + timed acting beats + camera progression

seems to work much better than just writing a long “cinematic” prompt.

the flower girl is back, and this time she’s making matcha! 🍵🌸

created with Seedance 2.5 on OpenArt, bringing her dreamy little world to life with cute details, playful animation, and a whole lot of matcha. ✨

would you try a matcha made by the flower girl?

what do you think of this video?

for an AI video, I think the sequence came out surprisingly coherent: the character stays consistent, looks up at the CCTV, picks up the same CRT monitor, walks toward the window, throws it, and the glass only breaks when the monitor actually hits it.

The whole thing also stays in the same fixed black-and-white surveillance-camera view, which makes it feel like some weird 1990s office footage 😭

But the funniest part is that I only uploaded one reference image.

That’s it.

The rest comes from a reusable template on the platform, so you can basically swap in another photo and generate the same setup with a different person hhh. links if u need: https://www.atlascloud.ai/generator

I feel like this kind of template is much more fun than rewriting a huge prompt every single time.

If you upload just audio and text and lock your prompt references in the text itself you sacrifice control over the frames for higher quality render. and most shots come out lip synced. so you can stitch them together and get your final music video.

Blows minimax H3 out of the water

If it wasnt for the surprise that Harley Quinn was alive, I do wonder if this would have happened. I can imagine it going quite south.

i ran the exact same prompt and scene through Wan 3.0, MiniMax H3, and Seedance 2.0 just to see how differently they would interpret it.

Same story. Same setup. Same prompt. But the results were surprisingly different.

what I found interesting is that there wasn't really one model that won everything. it really shows how differently current video models interpret the exact same instructions.

Wan 3.0 vs MiniMax H3 vs Seedance 2.0 — which one would you pick?

Seedance 2.5 at 1080p

Prompt;

Create a 30-second photorealistic live-action video of a clearly adult Korean woman in her early 20s spending an ordinary afternoon in modern Seoul.

SUBJECT:
Young Korean woman with natural facial features, realistic skin texture, minimal makeup, black wavy hair with wispy bangs. She wears a dark navy fitted knit top, relaxed beige wide-leg trousers, white sneakers, and a small black shoulder bag. Keep her face, hairstyle, clothing, body proportions and accessories completely consistent from beginning to end.

CAMERA:
Modern high-end smartphone footage recorded casually by a friend. Vertical handheld video, natural walking movement, slight hand shake, realistic smartphone autofocus, subtle exposure adjustment, authentic motion blur and realistic HDR. No cinematic camera moves, no slow motion, no artificial film effects.

STORY — ONE CONTINUOUS AFTERNOON:

00:00–00:05
The video begins with the woman walking out of a Seoul subway station into bright daylight. She looks at her phone while walking, then notices the camera and gives a quick natural smile. The camera follows behind and slightly to her side.

00:05–00:10
She walks across a real Seoul intersection while the pedestrian signal is green. Cars and buses move naturally in the background. She waits briefly at the opposite curb, adjusts her shoulder bag and looks toward her friend.

00:10–00:15
She enters a small modern café. The camera follows her through the glass door. She approaches the counter, orders an iced drink, pays with her smartphone, receives the drink and immediately takes a sip.

00:15–00:20
She leaves the café and continues walking along a modern Seoul street. She laughs at something her friend says off-camera. While walking, she briefly fixes her bangs with one hand and keeps the drink in her other hand.

00:20–00:25
She reaches a riverside pedestrian path. The city skyline and river are visible behind her. She stops beside the railing, places her drink down, and looks across the water while wind naturally moves her hair.

00:25–00:30
She suddenly looks toward the skyline and points at something in the distance. She turns toward the camera and says naturally, “Look at that.” The camera follows her pointing gesture and ends on the real sunset skyline over the river.

VISUAL REALISM:
Make this look like genuine footage recorded by a real person, not an AI video or commercial. Natural imperfect human movement, realistic walking physics, believable background pedestrians, accurate reflections, realistic shadows, natural hair and clothing movement, physically correct object interaction and consistent anatomy.

Absolutely no extra fingers, duplicated hands, malformed hands, warped faces, duplicated people, floating objects, disappearing objects, changing clothes, changing hairstyle, facial identity drift, unnatural body movement, impossible reflections or physically impossible interactions.

The woman must always have anatomically correct hands with five fingers. Phones, cups, bags and all other objects must maintain their shape and position logically between shots.

AUDIO:
Natural location sound only: footsteps, city traffic, subway ambience, café sounds, wind, distant conversations and her brief natural dialogue. No music.

PRIORITY:
Generate a FULL MOVING VIDEO with visible continuous actions throughout all 30 seconds. Every segment must contain meaningful physical movement. Do not create a still image, slideshow, audio-only output, or static portrait.

putting seedance 2.5 and seedance 2.0 head to head on the same coffee ad concept ☕🎬

same idea, different model. the differences in the character, environment, movement, and overall look are pretty interesting.

which one would you pick for a real ad????

a little look at the flower girl story, soft pastel visuals, a dreamy world, and a character whose journey unfolds through the smallest details. 🌷🎬

the goal was to make it feel less like a collection of AI shots and more like a real animated story with its own atmosphere and emotion.

what do you think of the final result? 💗

Had to try it and this came out

Please watch my AURORA trailer. It took me a month to create, and if you like it, please share it, leave a comment or give it a like. It really helps.

https://youtu.be/rVjz22oMrqM?is=NZGXCyzNRbmlY0Bc

We hear so much about the worst of human nature. But I wanted to make something about the other side of us. The part that helps, cares, shares what we know and refuses to leave someone behind.

I believe the future can be better if we choose to build it together.

Would you want to live in this future?

Same concept, two models. 🎬

The difference in motion, detail, and overall realism is pretty interesting, what do we think?????

Full 29-minute film here: https://www.youtube.com/watch?v=2U4sK5FDHyQ

The trailer is the first half of the setup and nothing else — the whole payoff is in the film.

A bit of context, because the story doesn't start at Grunwald. It starts eleven months earlier, in August 1409, when the Order crossed the Polish border and burned Dobrzyń to the ground. What follows is the chain from there: a secret winter council at Brest where three men agree on a plan nobody else in either kingdom knows, a bridge built in sections and floated down the Vistula so an army can cross where nobody is watching for it, and then the field itself on 15 July 1410 — the largest battle medieval Europe would ever see.

By the end of that afternoon the Order had lost its army, its Grand Master and almost every senior officer. Malbork never fell. But the Teutonic Knights never again put an army in the field that anyone in Europe was afraid of.

Made entirely in Seedance 2.5 — every shot, including all the dialogue scenes. Edit, grade and titles in DaVinci Resolve, narration ElevenLabs, score Suno. Happy to answer anything about the process.

One thing I'd honestly like other people's take on, because historians still argue about it: was the Lithuanian retreat a planned feint, or did the wing genuinely break and get rallied? Długosz says feint, but he wrote it for a Polish court a century after the fact. I had to pick a side to make the film work. I'm still not certain I picked right.

And if you do watch the whole thing and it lands for you — leave the comment on YouTube rather than here. That's the thing that actually keeps a channel this size alive, and I answer every one of them.

Hello everyone!
I just finished this for the "CapCut Seedance 2.5 Video Challenge".

The idea was to see how far i could push Seedance with a single continuous camera take, no cuts, no dissolves, no camera resets.

It starts as a seemingly ordinary Christmas night, with the camera slowly moving through the house while the story unfolds through small visual details.

The entire 30-second sequence was generated using Seedance 2.5, with character and prop references and a structured prompt focused heavily on spatial and temporal continuity.

I then added the sound design, geiger counter and final title treatment in DaVinci.

AFTER CHRISTMAS
A one-take AI short film by Leonardo Bruni.

Curious what you guys think especially regarding the camera continuity.

https://youtu.be/Tr3LwukIeS8

Tools: Seedance 2.5 / CapCut Video Studio / Suno / CapCut / DaVinci

The camera continuity, was particularly hard using normal prompt, so i end to use a structured JSON prompt, and surprisling, worked!

I used the JSON to explicitly separate the different layers of the shot:

{
  "scene": "...",
  "characters": "...",
  "props": "...",
  "camera": "...",
  "timeline": "...",
  "continuity_rules": {
    "take": "ONE SINGLE UNBROKEN TAKE",
    "same_physical_room": true,
    "same_timeline": true,
    "strict_spatial_continuity": true,
    "strict_character_continuity": true,
    "strict_prop_continuity": true,
    "physical_camera_motion_only": true
  }
}

The important part wasn't just describing what should happen, but explicitly defining what must not change during the shot.

The camera movement was described as a physical movement through a single connected environment, rather than as a sequence of shots or image-to-image transitions.

I also used the prompt to establish persistent character and prop states, so the model had to treat the room as a continuous physical space rather than regenerating each moment independently.

This was probably the most interesting part of the experiment for me: trying to use a generative video model more like a cinematography system than a shot generator.

So, my suggestion with Seedance 2.5, is that you are struggling with camera movement or continuity, give a try with json prompt.

My 2 cents

Did this as a test to see how well I can do battle in DBZ style and keep the aciton high. Hope you enjoy it!