Seedance 2.0 - Advanced Workflows Series
12. Cinematics with Unreal Engine and Claude Fable 5
Fable 5 is an absolute beast model that can take control of Unreal Engine and create videogames.
We can build scenes as a little video game with physics and assets and configure a playable character to create a cinematic scene.
In this example I created a scene of an astronaut lost in space floating between asteroids.
I created a zero gravity environment and made assets like cubes and spheres representing asteroids interact in this environment.
I recorded the gameplay and later place a camera to build the cinematic.
Workflow + Prompts 👇
So I just asked Gemini and Chat gpt to adapt @john_my07 mega prompt into the universe of Marcel Pagnol (South of France, beginning of the 20th century). Results is very cinematic. Very pleased with the camera movements.
@dreamina_ai Seedance 2.0 #DreaminaCPP
Here is the prompt by Gemini :
Main subject: Young Provençal woman, early 20s, natural and sun-kissed everyday appearance (reminiscent of a Pagnol heroine like Manon or Naïs). Wearing a simple, faded en toile light cotton sundress with a subtle floral pattern, a beige linen apron tied around her waist, and worn leather sandals. Thick, wavy dark brown hair loosely tied back with a simple fabric ribbon, with a few stray curls framing her face. Realistic skin texture with light freckles from the sun, absolutely no makeup, warm, expressive, and mischievous personality. Maintain consistent identity, clothing, and appearance throughout the entire video.
Location: An authentic, quiet Provençal village nestled at the foot of arid limestone hills during a warm, bright late morning. Narrow cobblestone alleys, old stone houses with faded pastel shutters (pale blue or lavender), small shaded terraces, terracotta pots with geraniums and wild rosemary, laundry lines stretching across the street, a wooden cart, an old stone well, and mature olive trees casting dappled shadows. Quiet, timeless rural atmosphere. No modern elements, no cars, no commercial signs.
Visual Style: Ultra-realistic vintage film realism, 1930s-1950s cinema verité. Genuine candid behavior, natural body language, unscripted slice-of-life feeling. Strong historical and regional authenticity, rich real-world textures (stone, dust, rough fabric), and believable human motion.
Camera Style: Early 16mm color film aesthetic (like vintage Technicolor or Kodachrome with warm tones). Handheld, immersive, and slightly imperfect framing as if a friend is documenting a summer day. Soft lens texture, gentle organic film grain, warm golden hour light, occasional slight overexposure when stepping into the bright Mediterranean sun, natural lens flares, and soft contrast. No modern stabilization, no digital crispness.
Timeline (00:00–00:15)
00:00–00:02Outside the heavy wooden door of an old stone cottage. She sits on a low stone bench, readjusting the ribbon in her hair with both hands raised. A light mistral breeze moves loose strands of her hair. She smiles warmly at the camera with a sparkling, expressive gaze.
00:02–00:04The camera follows her as she walks into a narrow, sun-drenched alley lined with terracotta pots. She spots a stray cicada or a small village dog approaching and crouches down, her dress pooling around her. The framing drifts slightly, capturing the dust dancing in the sunbeams.
00:04–00:06She gently pets the dog (or coaxes a cicada onto a leaf). The camera focus shifts organically between her smiling face and her hands. Bright Mediterranean sunlight flickers through the silver leaves of an olive tree overhead.
00:06–00:08A small patch of dirt yard beside her house. She hangs crisp white linen sheets on a rope clothesline, her arms reaching up as the fabric sways in the wind. The camera catches the bright contrast between the white fabric and the deep blue sky.
00:08–00:10On a quiet, shaded terrace, holding a hand-painted ceramic pitcher. She pours fresh water into a glass, takes a sip, and sits comfortably, watching the quiet village life. She occasionally brushes a stray curl behind her ear. Loose handheld angle with natural camera drift.
00:10–00:12Close side profile. Someone off-camera (an old villager) greets her with a loud, singing voice. She turns her head, raises her hand with a wide, radiant smile, and casually calls out, “Oh, bonjour, Marius !” The camera pans slightly late, capturing her spontaneous laughter.
00:12–00:15Walking slowly down a dusty path towards the hills, holding a small basket of fresh figs. She notices the camera, gives a cheeky, genuine smile, then looks toward the horizon and continues walking. The film reel cuts abruptly to a warm light leak and black, as if the camera ran out of film.
Audio: Natural ambient soundscape of the South of France — a loud, continuous chorus of cicadas (les cigales), a light rustling of olive leaves from the Mistral wind, distant clinking of pétanque boules, faint laughter or chatter in a thick Provençal accent from a nearby square, footsteps on dry earth and stone. No modern music. No artificial sound design. Pure, immersive atmosphere.
Goal: Authentic Provençal village life captured like a lost piece of poetic realist cinema — candid, sun-drenched, imperfect, warm, and deeply nostalgic.
Seedance 2.0 in native 4K keeps every detail intact.
Shadows, textures, and highlights hold exactly as they should. Fine edges stay clean, skin tones stay accurate, and motion stays smooth at full resolution.
Nothing gets lost in generation.
Test de edición de video con IA.
He puesto a editar el MISMO vídeo a 5 nuevos modelos de IA:
Seedance 2 VS Ray 3.2 VS Aleph 2 VS Gemini Omni VS Happy Horse
Mismo prompt.
Mismo vídeo de referencia.
Misma prueba.
La pregunta es sencilla:
¿Quién edita mejor vídeo con IA ahora mismo?
Yo ya tengo mi ganador… pero quiero ver si coincidimos 👀
¿Cuál crees que gana?
We recently discovered the ultimate workflow to restore old footage to something close to digital high-quality footage. The method works better than we thought, and it utilizes @OpenAI GPT-Image 2 + @seedance2_ai 2.0 + @topazlabs Astra….
See the step-by-step workflow in 🧵
Shoutout to Adam Nieri from our team for the real footage + test!
STEPS:
- Write a simple 10-15 second story idea.
- Use ChatGPT to convert the story into a professional director-level storyboard with strict continuity between every frame.
- Generate the storyboard images.
- Upload the completed storyboard back into ChatGPT.
- Ask ChatGPT to analyze the storyboard and convert every panel into a single cinematic Seedance 2.0 video prompt
- Upload the storyboard + generated video prompt to Seedance 2.0.
- Generate the final film-quality animated sequence.
The biggest improvement came from treating the storyboard as the source of truth and having AI act like a film director rather than a prompt writer.
Been working on a p-code focused on capturing a grittier cinematic aesthetic.
Trying to move away from the ultra-clean, sharp AI look and lean more into mood, texture, and composition.
Still refining it, but I'm pretty happy with where it's heading.
Seedance has a hidden feature that feels illegal.
It lets you create old-school anime at lightning speed.
It’s called “in-between” - and it actually delivers.
Try it yourself 👇
Gemini Omni can create action replays from different angles.
I referenced a video clip with agent in Google Flow.
Then asked it to give new angles that follow the original video timing, environment and movement.
This test came really close to real-time consistency!