r/Seedance_v2

▲ 27 r/Seedance_v2+1 crossposts

How to Recreate the Birth of Football in Seedance 2.0 London? Prompt Below!

We made a cinematic historical vlog concept in Seedance 2.0 about the birth of modern football.

The scene takes place in London, 1863 — the moment when football’s first written rules started separating the game from rugby.

The idea:

"A female vlogger suddenly finds herself in muddy Victorian London, filming in selfie mode while horse carriages, smoke-filled streets, crowds, and early football players appear behind her.

She walks through the rough streets, enters the room where the first football rules are being written, and sees the decisions that changed the sport forever:

→ no carrying the ball by hand
→ no tripping opponents
→ no kicking opponents
→ football and rugby becoming two different games

Then the sequence ends on a muddy field, where the earliest version of modern football is being played.

Final line:

“From this muddy field… football was about to become the world’s game.”

From one dirty London pitch to the biggest sport on Earth.

Made with Seedance 2.0.

  1. Go to the Seedance 2.0 Video Generator
  2. Write your full prompt or add reference images
  3. Upload the image you want to animate
  4. Click Generate and get your animated video

Full Storyboard Prompt:

"<input> User provides: 1) Historical Moment = [WRITE_HISTORICAL_MOMENT] 2) Reference Image = the person who must appear in every frame. </input> <core objective> Create ONE premium 9-frame cinematic storyboard contact sheet. The storyboard must show the reference person traveling to [HISTORICAL_MOMENT] and recording the experience in selfie mode. Every frame must feel like a realistic historical vlog captured on a phone camera, with premium cinematic documentary lighting, accurate historical atmosphere, believable living conditions, iconic historical context, and strong visual storytelling. The person is not changing history. They are observing, reacting to, checking, testing, and visually exploring the historical event, its environment, its iconic figures, and its effects. </core objective> <aspect ratio> 3:4 vertical master image. Grid format: 3 columns x 3 rows. Exactly 9 panels total. </aspect ratio> <reference image usage> Use the uploaded reference image as the strict identity reference for the selfie narrator. The person in every frame must match the reference image: - same face - same facial structure - same skin tone - same eyes - same nose - same lips - same hairstyle base or a historically adapted version of it - same body proportions - same recognizable identity The person must remain consistent across all 9 frames. Do not replace the person with a historical figure. Do not make the person look like a different actor or model. </reference image usage> <character styling rule> The narrator’s clothing must be appropriate to the chosen historical period, location, climate, social context, and year. Important: - The narrator must NOT look modern. - The narrator must visually belong to the chosen era. - The face and identity must remain strictly based on the uploaded reference image. - The hairstyle may be slightly adapted to the period, but the person must remain recognizable. - The outfit must stay consistent in concept across all 9 panels, with only natural changes caused by dust, mud, smoke, damage, sweat, lighting, or movement. - Do not use futuristic clothing, sci-fi armor, modern streetwear, jeans, t-shirts, sneakers, logos, modern accessories, or contemporary fashion items. - The narrator must feel physically present in that historical world, not like a modern tourist pasted into the scene. If the reference character is female: - Dress her in a historically appropriate feminine outfit for [HISTORICAL_MOMENT]. - The outfit must match the era while still feeling attractive, elegant, and feminine. - Include a tasteful exposed waist / midriff or open-waist historical adaptation when believable for the period. - Include a tasteful décolleté / open neckline appropriate to the historical setting and social context. - The outfit must not become modern clubwear or fantasy cosplay. - Use historically believable fabrics, cuts, wraps, corset-inspired shaping, draped cloth, bodice details, tunics, skirts, veils, shawls, jewelry, belts, or other period-specific garments. - The clothing must look practical enough to exist in the historical environment, with realistic dust, dirt, fabric wear, sweat, mud, smoke, or battle/weather effects when appropriate. If the reference character is male: - Dress him in a historically appropriate casual everyday outfit for [HISTORICAL_MOMENT]. - The outfit must feel relaxed, natural, practical, and believable for an ordinary person in that era. - Avoid armor, royal clothing, formal ceremonial robes, modern suits, modern t-shirts, jeans, sneakers, or futuristic clothing unless the specific historical context requires something similar. - Use period-accurate shirts, tunics, trousers, sandals, boots, belts, wraps, cloaks, vests, linen garments, wool layers, workwear, simple hats, leather details, or other local everyday clothing. - The male narrator should look like a believable everyday witness inside the historical moment, not a soldier or leader unless the setting naturally requires it. Accessory rule: - At least ONE panel must show the narrator carrying or holding one historically appropriate environmental accessory connected to the scene. - The accessory must match the period and location. - Examples: lantern, parchment, rope, leather pouch, cloth wrap, wooden tool, clay cup, old map, period coin, small torch, simple basket, dusty stone fragment, worn document, battlefield canteen, cloth mask, scarf, or a symbolic object from the environment. - The accessory must appear naturally in only one or two panels, not all panels. </character styling rule> <wardrobe variation rule> The narrator’s outfit must remain historically appropriate in every panel. The clothing style must stay consistent, but its color and condition may vary slightly from panel to panel because of: - firelight - torchlight - sunlight - smoke - dust - ash - mud - rain - sweat - shadow - battlefield grime - street dirt - fabric wear - scene mood Important: - Do not change the outfit into a completely different costume. - Do not change the character identity. - Do not make the narrator look modern. - Do not use modern color styling that breaks historical realism. - The clothing may become slightly dirtier, dustier, darker, wetter, or more worn as the sequence progresses. - The color variation should feel natural and cinematic, not random. </wardrobe variation rule> <mandatory selfie rule> In EVERY panel, the reference person must be in selfie mode. This means: - The person is close to the camera. - One arm is visibly extended toward the viewer as if holding a phone. - The face is visible. - The camera perspective must feel like a handheld phone selfie. - The background historical event must be visible behind the person. - The person must never appear as a distant third-person character. - Do not show the person from behind. - Do not remove the extended selfie arm. - Do not use a normal cinematic camera angle unless it still clearly feels like selfie footage. The person should feel physically present inside the historical environment, not pasted on top of it. </mandatory selfie rule> <dynamic selfie performance rule> The narrator must NOT repeat the same selfie pose in all 9 panels. Create real variation in the selfie performance across the sequence. Vary these elements naturally: - face distance to camera - selfie arm angle - camera holding angle - head tilt - body angle - gaze direction - expression - whether the person looks directly into the camera or briefly toward the historical action - whether the person is speaking, reacting, listening, checking, or testing something nearby Allowed selfie variations include: - close-up selfie, face near the camera, speaking as if explaining something - mid selfie while walking - slightly low-angle selfie - slightly high-angle selfie - side-angled selfie - selfie while pointing behind - selfie while crouching or leaning toward an object - selfie while turning to show something - selfie while reacting in surprise, concern, awe, or curiosity - selfie with the camera held slightly lower, higher, closer, or farther away The sequence should feel like real handheld social-media footage, not 9 copies of the same pose. </dynamic selfie performance rule> <interaction and investigation rule> The narrator should not only passively watch the event. In several panels, the narrator must behave like someone directly examining, checking, testing, or investigating the historical moment and its conditions. Examples of appropriate actions: - touching or inspecting a wall, stone, weapon, tool, rope, market object, parchment, or damaged surface - checking mud, dust, ash, water, debris, smoke, or broken roads - reacting to heat, dirt, poor air, rough textures, or crowd conditions - pointing at a key historical mechanism or environmental detail - leaning closer to inspect an object - crouching to examine the ground - observing infrastructure or battlefield damage at close range - showing “let me check this” or “look at this” energy - speaking to the camera as if explaining what is happening - looking like they are testing how the place feels in reality - holding or inspecting one historically appropriate environmental accessory in one or two panels The narrator must feel active, curious, and involved in observing the reality of the event. However, the narrator must not unrealistically alter major historical outcomes. </interaction and investigation rule> <iconic historical figure rule> At least ONE panel must include the narrator standing beside or very close to the most iconic historical figure associated with [HISTORICAL_MOMENT]. This must feel like a powerful selfie moment with history. Rules: - The iconic historical figure must be period-accurate and visually recognizable through clothing, posture, props, and historical context. - The narrator must remain the main selfie subject in the foreground. - The iconic figure should appear beside the narrator, slightly behind them, or close enough to feel like they are in the same moment. - The figure may look at the narrator, look toward the event, give an order, hold a symbolic object, inspect something, write something, command people, or appear in a historically meaningful pose. - The scene must feel natural, not like a staged celebrity photo. - The narrator must not replace the historical figure. - The narrator must not alter the historical figure’s actions or change the historical outcome. - Do not make the iconic figure modern. - Do not add modern accessories to the iconic figure. - If the historical event has no single clear person, use the most iconic representative figure, leader, witness, inventor, commander, ruler, artist, scientist, doctor, healer, craftsman, symbolic participant, or historically recognizable archetype connected to that moment. </iconic historical figure rule> <supporting character rule> In some frames, the narrator may have a historically appropriate secondary person beside them. This supporting person may appear: - standing next to the narrator - walking beside the narrator - reacting to the event nearby - speaking with the narrator - listening while the narrator talks - being addressed by the narrator as if in brief conversation Important rules: - the supporting person must be historically appropriate to the period - the supporting person must not visually overpower the narrator - the narrator remains the main subject - only include supporting people when it helps storytelling - do not make every frame a two-person scene - do not introduce modern-looking side characters - do not turn the scene into a group portrait The feeling should be: the narrator is inside the event, sometimes briefly interacting with a local person, witness, worker, soldier, merchant, civilian, doctor, healer, artisan, priest, scribe, ruler, scientist, or the iconic historical figure of the moment. </supporting character rule> <historical accuracy rules> Respect the chosen historical moment. Show historically appropriate: - architecture - clothing - tools - weapons - vehicles - materials - landscape - lighting sources - crowd behavior - atmosphere - smoke, dust, weather, fire, banners, ruins, ships, animals, torches, machinery, or battlefield elements when relevant Avoid anachronisms unless they are limited to the implied selfie-camera concept. Do NOT include: - modern cars - modern buildings - modern street signs - electric lights - modern soldiers - modern logos - modern text - fantasy elements - modern clothing on the narrator - modern accessories on the narrator unless the historical event specifically requires them. The entire world, including the narrator’s wardrobe and accessories, must feel period-accurate. </historical accuracy rules> <period conditions rule> The environment must clearly reflect the physical and social conditions of the era. Do not make the historical world look clean, polished, sanitized, or theme-park-like. Visually show real period conditions when appropriate to the chosen event and era, such as: - dirty air - smoke-filled streets - muddy or uneven roads - broken stone roads - dust clouds - animal waste on streets - worn buildings - damaged walls - crowded alleys - poor sanitation - rough textures - soot, ash, grime, and dirt - simple market stalls - primitive infrastructure - messy battlefields - wet ground - puddles - carts, debris, and scattered materials - exhausted workers - injured civilians or soldiers when appropriate - weathered surfaces and imperfect urban conditions - cracked plaster - rough wooden structures - torn fabric - primitive shelters - worn sandals or boots - realistic sweat, smoke, mud, ash, or dust on people and objects The world must feel lived-in, physically believable, and true to its time period. Important: - Each historical period should reflect its own conditions. - Ancient, medieval, industrial, revolutionary, scientific, plague, and wartime eras should all feel materially different. - Environmental hardship must support the realism of the sequence. - The background should not feel like a clean museum reconstruction. </period conditions rule> <story structure> The 9 panels must follow a clear historical observation arc, with pose variation, speaking energy, investigative behavior, camera movement notes, historically accurate wardrobe, subtle wardrobe condition changes, one or two historically appropriate accessories, and at least one iconic historical figure encounter. Frame 1 — Arrival / Time Jump The narrator appears in selfie mode at the edge of the historical setting, surprised or amazed. Wide establishing selfie. The historical world is revealed behind them. The narrator wears historically appropriate clothing for the exact era and location. Camera movement: Wide selfie reveal / slow push-in. Frame 2 — Talking to Camera The narrator is closer to the camera, as if explaining what they are seeing. The selfie angle changes. The expression feels conversational and immediate. Period conditions are visible behind them. Camera movement: Close handheld selfie / slight walking shake. Frame 3 — First Real Inspection The narrator checks an important environmental or historical detail: mud, damaged road, smoke, wall texture, tools, labor conditions, primitive infrastructure, battlefield remains, market object, worn street, medical object, plague sign, construction detail, or military preparation. Camera movement: Low crouch selfie / tilt down to detail. Frame 4 — Iconic Figure Encounter The narrator is in selfie mode while standing beside or very close to the most iconic historical figure connected to the chosen historical moment. The figure appears period-accurate and visually recognizable through costume, posture, props, and context. The narrator reacts as if witnessing a legendary person in real time. Camera movement: Side selfie pan / reveal iconic figure. Frame 5 — Rising Tension The historical event intensifies behind the narrator: crowds gather, soldiers move, workers build, flames rise, ships approach, machinery starts, leaders prepare, civilians react, alarms spread, people flee, or the environment becomes more chaotic. The narrator reacts while still holding the camera. Camera movement: Handheld pull-back / crowd movement behind. Frame 6 — Key Historical Mechanism The narrator actively points to, tests, or closely examines a specific object, tool, structure, route, device, wall breach, battlefield detail, market detail, invention, document, symbolic item, or historically appropriate environmental accessory that helps explain the event. Camera movement: Macro inspection tilt / finger points detail. Frame 7 — Main Event The strongest visual moment of the historical event happens behind the narrator. The selfie angle should feel more dramatic, energetic, and immersive. Camera movement: Shaky action selfie / fast whip pan behind. Frame 8 — Human Impact / Reflection The narrator becomes more serious. The frame shows the impact on ordinary people and the harsh realities of the period. The narrator may briefly address the camera like they are reflecting on what they just witnessed. Camera movement: Slow close selfie / soft drift sideways. Frame 9 — Final Iconic Selfie A powerful final selfie shot with the clearest historical symbol behind the narrator. This should feel like the most viral and visually striking frame of the sequence. Camera movement: Hero selfie hold / background slow reveal. </story structure> <camera movement overlay rule> Each panel must include a small readable camera movement note directly on the image. Place the camera movement note in a clean, minimal cinematic text strip or small corner label, separate from the main panel title. The camera movement text must be short, readable, and in English. Do not cover the narrator’s face. Do not cover the extended selfie arm. Do not cover important historical action. Use this exact camera movement label structure: 01 ARRIVAL CAM: Wide selfie reveal / slow push-in 02 TALK TO CAMERA CAM: Close handheld selfie / slight walking shake 03 FIRST CHECK CAM: Low crouch selfie / tilt down to detail 04 ICONIC FIGURE CAM: Side selfie pan / reveal iconic figure 05 TENSION RISES CAM: Handheld pull-back / crowd movement behind 06 KEY DETAIL CAM: Macro inspection tilt / finger points detail 07 MAIN EVENT CAM: Shaky action selfie / fast whip pan behind 08 REFLECTION CAM: Slow close selfie / soft drift sideways 09 ICONIC SELFIE CAM: Hero selfie hold / background slow reveal The camera movement notes must feel like practical video shooting directions for turning this 9-frame storyboard into a cinematic short video. </camera movement overlay rule> <visual style> Premium cinematic historical documentary style. Look and feel: - ultra-realistic - immersive - detailed historical environment - realistic crowds and spatial depth - natural handheld selfie perspective - cinematic color grading - dramatic but believable lighting - realistic dust, smoke, fog, firelight, sunlight, torchlight, moonlight, candlelight, oil-lamp light, or natural daylight depending on the event - high-detail textures: stone, fabric, metal, wood, sand, mud, parchment, armor, architecture, leather, linen, wool, clay, rope, ash, grime - strong environmental realism - visible wear, dirt, imperfection, and hardship where appropriate - subtle outfit condition shifts caused by scene lighting, dirt, dust, smoke, mud, weather, and atmosphere The storyboard should feel like: “A person accidentally opened a portal to history and started filming a selfie vlog during the event.” </visual style> <composition rules> Each panel must be different but connected. Every panel must include: - the same selfie narrator - visible extended arm toward the camera - clear face visibility - historically accurate period clothing and accessories on the narrator - historical event happening behind them - strong depth between foreground person and background event - cinematic framing - readable visual storytelling - environmental details that help communicate the era’s real conditions - visible panel title - visible camera movement label - subtle outfit condition variation while keeping the same historical outfit concept - at least one panel with a historically appropriate accessory held or carried by the narrator Use varied selfie compositions: - wide selfie with historical location behind - close selfie with face near the camera as if speaking - low-angle selfie with monument, army, ship, structure, palace, workshop, battlefield, street, market, laboratory, temple, or construction site behind - selfie while inspecting something up close - selfie while pointing behind - selfie with a historically appropriate person nearby - selfie beside the most iconic historical figure or representative historical figure of the event - shaky action selfie - extreme close selfie with dust, ash, smoke, sparks, sweat, reflections, mud, rain, firelight, candlelight, or environmental texture - final heroic selfie framing Do not repeat the same pose 9 times. Do not make every frame a simple face close-up. The background must carry the historical story. </composition rules> <camera language> Even though every frame is selfie mode, use cinematic camera logic: - handheld phone perspective - slight wide-angle lens feel, 20–28mm - natural selfie distortion but not ugly - realistic motion blur in action frames - shallow depth of field in close shots - deeper depth in wide historical reveal shots - consistent screen direction - realistic phone-camera framing - the extended arm creates foreground depth - the face remains sharp and recognizable - vary the selfie holding angle naturally from shot to shot The phone itself does not need to be visible, but the extended arm must make the selfie perspective clear. </camera language> <panel labels> Each panel must have two clean readable text elements: 1) Main panel label 2) Camera movement label Use readable English labels in safe margins, never covering the face. Main label format: 01 ARRIVAL 02 TALK TO CAMERA 03 FIRST CHECK 04 ICONIC FIGURE 05 TENSION RISES 06 KEY DETAIL 07 MAIN EVENT 08 REFLECTION 09 ICONIC SELFIE Camera movement label format: CAM: [short camera movement direction] The camera movement labels must be visible on the image, like a professional storyboard sheet. Keep typography elegant, minimal, and documentary-style. </panel labels> <output requirement> Generate ONE single master storyboard image. The image must contain exactly 9 panels in a clean 3x3 grid. Each panel must be a separate cinematic selfie keyframe from the same historical vlog sequence. The final master storyboard image must show both the story labels and camera movement notes directly on each panel, so the image works as a complete visual shooting plan. At least one panel must show the narrator holding or carrying a historically appropriate environmental accessory. After the grid image, also output a concise text breakdown of all 9 frames: - Frame number - Shot description - Historical background event - Narrator expression/action - Camera/selfie note - Camera movement note - Period outfit / accessory note </output requirement> <final prompt task> Using the uploaded reference image as the selfie narrator and using this historical moment: [HISTORICAL_MOMENT] Create a premium 9-frame cinematic selfie-mode historical time-travel storyboard contact sheet. The narrator must appear in every frame in selfie mode with one arm extended toward the camera, observing the historical event, the living conditions of the era, the most iconic historical figure or representative figure connected to the moment, and its consequences. The narrator must not repeat the same pose in all frames. Vary the selfie angle, arm position, framing, distance to camera, and expression. In some frames, the narrator should look like they are speaking directly to the camera. In some frames, the narrator should look like they are actively checking, testing, or inspecting the historical environment. In at least one frame, the narrator must stand beside or very close to the most iconic historical figure or representative figure of the chosen event. In some frames, a historically appropriate secondary person may appear beside the narrator as if they are briefly talking. Style the narrator in clothing appropriate to the chosen historical era, location, climate, social context, and year: - if female: historically appropriate feminine clothing, elegant and attractive, with a tasteful exposed waist / open-waist adaptation and tasteful décolleté / open neckline only when believable for that period and social context - if male: historically appropriate casual everyday clothing, relaxed, natural, and believable for an ordinary person in that era The narrator’s outfit must stay historically accurate in every panel. The clothing may vary slightly in color and condition from panel to panel through lighting, dust, smoke, mud, sweat, rain, fabric wear, and scene atmosphere, while keeping the same outfit concept. At least one panel must show the narrator holding or carrying a historically appropriate accessory from the environment. Make the sequence visually dramatic, historically grounded, environmentally believable, socially engaging, and social-media-ready. </final prompt task>"

Crazy to think the world’s biggest sport started from rules written in a smoky room and a muddy field.

u/DataGirlTraining — 4 hours ago
▲ 144 r/Seedance_v2+6 crossposts

Made with Seedance 2.0 on Easy-Peasy.AI: Singapore in 2000

Seedance 2.0 Prompt on Easy-Peasy.AI:
Main subject: Young Singaporean Chinese woman, early 20s, natural everyday appearance, faded sage-green ribbed tank top, loose high-waisted sand-beige cotton shorts, brown leather slides, thin gold chain necklace, dark brown straight hair in a low loose bun with face-framing strands. Realistic skin texture, minimal makeup (defined brows, lip balm only), warm and approachable personality. Faint tan lines visible on shoulders. Maintain consistent identity, clothing, hairstyle, and appearance throughout the entire video.

Location: Authentic mature Singapore HDB estate during a calm late morning. Long open-air concrete corridors with metal railings, neighbors' potted plants and hanging ferns lining the walkway, painted block numbers on wall ends, bamboo pole drying racks outside kitchen windows, void deck concrete benches, covered link walkways, mature rain trees and angsana trees casting moving dappled shadows, distant playground visible below. Quiet residential atmosphere. No stores, advertisements, kopitiams, 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 an HDB flat entrance along an open-air corridor. She sits on a low concrete ledge beside the doorway, adjusting her hair bun with both hands raised. A warm breeze moves loose strands across her face. She smiles naturally while the camera struggles to hold focus. Drying rack with bamboo poles visible behind her.

00:02–00:04 The camera follows her along the corridor past rows of potted plants, hanging pothos, and a neighbor's small herb garden. She notices a community cat approaching from around a corner and crouches down near the railing. Framing drifts off-center as the operator tries to keep up. Dappled sunlight filters through a rain tree canopy above the corridor.

00:04–00:06 She gently pets and feeds the community cat from a small plastic container. Autofocus repeatedly shifts between her face and the animal. Morning sunlight flickers through leaves overhead. The cat rubs against her slides.

00:06–00:08 At a corridor drying area outside the kitchen window. She slides wet laundry onto a bamboo pole and lifts it onto the metal drying rack, fabrics swaying in the breeze. Exposure changes as clouds briefly pass overhead. A mynah bird hops along the railing in the background.

00:08–00:10 At the void deck below, sitting on a concrete bench under a covered walkway with a ceramic mug of kopi. She sits comfortably watching the estate, occasionally brushing hair behind her ear. Loose handheld side angle with natural camera drift. A bicycle is parked against a nearby pillar.

00:10–00:12 Close side profile. A neighbor walking past greets her off-camera. She turns, raises her hand, smiles warmly, and casually says, "Hi." The camera catches the moment slightly late, the neighbor already partially out of frame.

00:12–00:15 Walking slowly down a tree-lined covered walkway between blocks, holding her mug. She notices the camera, gives a small genuine smile, then looks away and continues walking. A distant bus passes on the road beyond the trees. Recording cuts abruptly to black mid-motion as if the camcorder was switched off.

Audio: Natural ambient sound only — mynah birds and sparrows chirping, distant bus engine braking, faint MRT announcement echo from a nearby station, light wind through rain trees, leaves rustling, faint neighborhood chatter in a mix of English and Singlish, cat purring and meowing, slides on concrete, fabric flapping on bamboo poles, subtle HDB estate ambience. No music. No sound design. No narration.

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

u/DIMOFF2000 — 4 days ago
▲ 3 r/Seedance_v2+1 crossposts

How do I add lipsync to a video I already created?

Or how do I add lip sync to a omni reference video that has a storyboard using a mp4 of the voice over? I've seen that you can use AI avatar and use a still image to lip sync but I have a 15 second scene storyboarded out and cant figure out how to add a VO and lip sync it.

reddit.com
u/One-Position2377 — 4 days ago

Can someone PLEASE help me find an unlimited plan lol PLEASE

All I find now is endless AI bot ads, videos, reddit posts you name it. I had runway - I didnt mind the wait time. I was going to use it until end of August like most Runway users but for whatever reason they completely screwed me over when I went to unsubscribe to change my payment method and now treats me like a new customer. My goal is to find something as cheap (not even that cheap) as $95 a month like runway had for the UNLIMITED generation option. Is there anything close to that right now?

reddit.com
u/Ambitious-Luck4563 — 6 days ago

How can I use seedance to create a anime?

so a few questions

how do I use the program to animate 39 minutes of animation

can I input my own voice over and sound track

what are tricks on the prompt writing

reddit.com
u/Powerful_Whereas3516 — 5 days ago
▲ 1 r/Seedance_v2+1 crossposts

Alguien me dice donde puedo usar seedance

Hola Como Estan Dios les bendiga a Todos tengo una pregunta alguien me dice como puedo usar seedance esque yo busco y busco y no encuentro Seedance alguien me dice donde lo puedo usar Bendiciones

reddit.com
u/Runt_omega — 5 days ago
▲ 14 r/Seedance_v2+4 crossposts

One Storyboard → Full AI Animation (100% FREE Seedance 2.0 Workflow)

One of the biggest problems with AI animation is consistency.

Most people generate every scene one by one, which leads to characters changing appearance, inconsistent lighting, and disconnected shots.

After a lot of testing, I found a workflow that solves this problem.

Here's the process I use:

✅ Write your story.

✅ Generate multi-angle character sheets for every character to lock in their appearance.

✅ Use those character sheets to create a complete storyboard that covers the entire animation.

https://preview.redd.it/ix7mms2547ah1.png?width=1536&format=png&auto=webp&s=a9446f728cf38703184d3232ac581d4f46d528a7

https://preview.redd.it/86iei9o847ah1.png?width=1536&format=png&auto=webp&s=3447c575d3ed861156b5be508e6d7276f8ad716e

✅ Feed the storyboard into an AI video model instead of generating individual shots.

https://reddit.com/link/1uioacp/video/hzsfczee47ah1/player

✅ The result is a smooth multi-shot animation with consistent characters, better camera flow, and a much more cinematic look.

I've put together a complete step-by-step tutorial showing the entire workflow, including:

Creating AI character sheets

Building professional storyboard grids

Generating cinematic storyboard prompts

Animating the storyboard with AI

Tips for maintaining character consistency across scenes

If you're creating AI films, animated stories, commercials, or YouTube content, this workflow should save you a lot of trial and error.

🎥 Full tutorial:

https://youtu.be/fKDkX_8_HT0

I'd love to hear how you're handling character consistency in your own AI animation workflow

reddit.com
u/oddboy11 — 5 days ago
▲ 59 r/Seedance_v2+4 crossposts

Just found a legit way to access seedance 2.0 for free.

You can access seedance 2.0 for free using Dola ai website, but soon you will realise, it gives you only few credits daily, for this you have to use Google skills, once you sign up, you can literally keep this running all day without any limit, I am going share tutorials link if you want see in details. https://youtu.be/KCbY-5gbbK8?si=jzQK3k5FDtKabbSH

u/oddboy11 — 9 days ago
▲ 45 r/Seedance_v2+3 crossposts

Control facial expressions with FACS sheet in Seedance 2.0. Mini tutorial with free prompts inside.

First of all: credits:

I saw this on X, author: aimikoda.
Here's the original post on X.
I suggest you read all of it, see what others do, and adjust it for your needs.

FACS is a visual guide for the Facial Action Coding System. It let's you tell Seedance 2.0 inside prompt, what exact facial expression you want to see. It uses codes which are generated in first step. Disclaimer: remember that this is still AI video generations, not all generations will nail it in first shot. Iterate!:)

Here's step by step mini tutorial:

  1. Upload your character image to AI Image generation model. I've tested it with GPT Image 2 and Nano Banana Pro - both works for this, although sometimes captions unreadable, so iterate!:). Then use this prompt (again, credit for this: aimikoda):

&#8203;

Create a clean educational FACS Action Unit expression grid featuring a realistic adult female character. Use minimal studio lighting, neutral white background, high readability, professional facial anatomy reference sheet aesthetic, realistic skin texture, consistent identity across all panels. COLOR SYSTEM: Use soft pastel color coding for categories while keeping the overall sheet minimal and elegant. Forehead &amp; Brow AUs: soft pastel blue Eye &amp; Eyelid AUs: soft pastel lavender Nose &amp; Cheek AUs: soft pastel peach Lip &amp; Mouth AUs: soft pastel pink Head Movement AUs: soft pastel mint Eye Direction AUs: soft pastel cyan Special / Misc AUs: soft pastel beige Apply the color subtly as: - panel background tint - thin borders - small label accents Keep colors soft, muted and professional. Include these Action Units: GROUPS: FOREHEAD &amp; BROW AU1 Inner Brow Raiser AU2 Outer Brow Raiser AU4 Brow Lowerer AU71 Brow Furrow AU72 Brow Bulge EYE &amp; EYELID AU5 Upper Lid Raiser AU7 Lid Tightener AU41 Lid Droop AU42 Slit Eyes AU43 Eyes Closed AU44 Squint AU45 Blink AU46 Wink NOSE &amp; CHEEK AU6 Cheek Raiser AU9 Nose Wrinkler AU11 Nasolabial Deepener AU82 Nostril Dilator AU83 Nostril Compressor LIP &amp; MOUTH AU10 Upper Lip Raiser AU12 Lip Corner Puller AU13 Sharp Lip Puller AU14 Dimpler AU15 Lip Corner Depressor AU16 Lower Lip Depressor AU17 Chin Raiser AU18 Lip Pucker AU20 Lip Stretcher AU22 Lip Funneler AU23 Lip Tightener AU24 Lip Pressor AU25 Lips Part AU26 Jaw Drop AU27 Mouth Stretch AU28 Lip Suck AU84 Tongue Up AU85 Tongue Out HEAD MOVEMENT AU51 Head Turn Left AU52 Head Turn Right AU53 Head Up AU54 Head Down AU55 Head Tilt Left AU56 Head Tilt Right AU57 Head Forward AU58 Head Back EYE DIRECTION AU61 Eyes Turn Left AU62 Eyes Turn Right AU63 Eyes Up AU64 Eyes Down SPECIAL / MISC AU81 Chewing 

And you have your FACS sheet.
2. Use it with Seedance 2.0. Example prompt from aimikoda:

Use the provided character @[image1]  as the fixed identity reference.

15s, 1:1, 14 beats, beat-synced, cinematic tight close-up, subtle neutral background, high facial clarity, slow micro push-in, shallow depth of field.

1: AU10
2: AU20
3: AU22
4:  AU23
5: AU27
6: AU28
7: AU45
8:  AU53
9: AU61
10: AU62
11: AU64
12: AU85
13:AU84
14: AU46

Uneasy, hypnotic, controlled mood. No monster transformation, no gore, no comedy, no text overlay, no watermark. 

As you can see, you just prompt the code of specific expression. You can ask your favourite LLM model which code to use to express i.e. anger, etc, it will tell you.

Final thoughts and tips:

Here's the prompt I've used to create top-left video:

Photorealistic 15-second video. 50-year-old Creole woman, face and shoulders only, bare skin no makeup, natural soft diffused light, plain white background, 4K, shallow depth of field.
Timeline: 0–2s: Neutral resting face, eyes forward, relaxed brow and lips. 2–4s: Happy — AU6 (cheek raiser, orbital orbicularis oculi tightens, crow's feet appear) + AU12 (zygomaticus major pulls lip corners up and laterally), Duchenne smile, slight natural eye squint from cheek push. 4–6s: Sad — AU1 (inner brow raise, frontalis medial lifts producing oblique brow) + AU4 (corrugator and procerus knit and lower the brow, grief knot) + AU15 (depressor anguli oris pulls lip corners down), eyes slightly glassy. 6–7s: AU61 — eyes turn left, head stays still, gaze shifts left. 7–8s: AU62 — eyes turn right, head stays still, gaze shifts right. 8–9.5s: AU46 left eye — left orbicularis oculi closes left eye with slight compression, right eye stays open, subtle smirk. 9.5–11s: AU46 right eye — right orbicularis oculi closes right eye with slight compression, left eye stays open. 11–12.5s: AU85 — tongue protrudes straight out from mouth, jaw drops slightly via AU26. 12.5–13.5s: Tongue moves to the left side of the mouth, visible tip extends past left lip corner. 13.5–14.5s: Tongue moves to the right side of the mouth, visible tip extends past right lip corner. 14.5–15s: Returns to neutral, tongue retracts, lips close via AU8, relaxed expression.
  1. I did not include the character's photo for any of the generations used in the video above. There is no difference between using or not using it, of course if you want to have consistency - use image character.

  2. Test different approaches - check what you get if you use codes only, codes with short description. And again - this is still not perfect. Prompts and FACS codes DO NOT guarantee that you'll get what you explicitly told in prompt regarding facial expressions. But the success rate is really high.

  3. I've noticed that the more expressions in one prompt, the less accuracy in output will be, which is absolutely understable. So I'd suggest 3-4 expressions max in one generation.

  4. Of course facial expressions itself are not particularly useful, the purpose is to use them in prompts when creating monologues, dialogs, or other videos where you need specific facial expressions. Here's the example prompt, feel free to test it:

    Use the provided character @[image1] as the fixed identity reference. 15s, 16:9, dim interior, single warm lamp, slight low angle, handheld micro-sway, shallow depth of field. Dialogue: "Hey, hey — everything's fine, okay? We're just gonna play a game where we stay really quiet. Can you do that for me?" Beat 1 (0–1s): AU5+AU38 (upper lid raiser + nostril dilator — genuine fear, pre-dialogue) Beat 2 (1–2s): AU45 (blink — forcing reset, composing the mask) Beat 3 (2–4s): AU12+AU6 (Duchenne smile — forced but committed, parental warmth overriding terror) — delivers "Hey, hey — everything's fine" Beat 4 (4–5s): AU1 (inner brow raiser — pleading sincerity leaking through) — delivers "okay?" Beat 5 (5–6s): AU7 (lid tightener — eyes betraying the fear the smile is hiding) Beat 6 (6–8s): AU12+AU2 (smile + outer brow raise — brightening, performing fun) — delivers "We're just gonna play a game" Beat 7 (8–10s): AU4+AU24 (brow lowerer + lip presser — seriousness cracking through for a flash) — delivers "where we stay really quiet" Beat 8 (10–11s): AU45 (blink — catching the slip, resetting to warmth) Beat 9 (11–13s): AU12+AU1 (smile + inner brow raise — tenderness and desperation fused) — delivers "Can you do that" Beat 10 (13–15s): AU6+AU17 (cheek raiser + chin raiser — eyes smiling while chin trembles) — delivers "for me?" Devastating contrast between performed safety and visible terror. The face should never fully commit to either — the audience reads both simultaneously. No action sequences, no visible threat, no sound effects, no text overlay, no watermark.

FACS are being used by professional video animators in movie industry.

I found this resource very helpful to understand the topic, and also started to create my own sheets. Why? Because when you prompt the LLM to generate you a FACS sheet - it's an LLM! It can be wrong. My results improved after studying this resource and free references which available on this website.

PS: 95% of times if you tell not to generate audio, Seedance will listen. Enjoy the remaining 5% from the low left girl :D.

Now go and experiment, and have some fun with it :)

u/Zealousideal-Cry7806 — 10 days ago
▲ 21 r/Seedance_v2+2 crossposts

Cinder Fist

Capsule-flat above a noodle bar. Red eviction notices for wallpaper. A push-broom that's seen more combat than most blades. For everyone who reread Neuromancer last winter and decided the only thing missing was a Cinderella.

u/machina9000 — 9 days ago
▲ 113 r/Seedance_v2+4 crossposts

This Animator Is Turning Simple 3D Rigs Into Anime Scenes Using Seedance

Credit to Tetsurou, who has reportedly spent more than a decade in the anime industry and most recently worked on TRIGUN STAMPEDE and TRIGUN STARGAZE
Using simple 3D animation as a foundation, he's experimenting with Seedance to render finished anime style scenes. It's an interesting example of AI being used as part of an existing creative workflow rather than replacing it entirely

u/Consistent-Jelly248 — 11 days ago
▲ 32 r/Seedance_v2+5 crossposts

Mercury In Retrograde Ep 1x01 pilot

In the warm hush of the red rocks, an embedded journalist observes the slow rituals of America's oldest astrology institute. Tastefully shot. Quietly devastating. Contains at least one cry per episode, on schedule.No score in the credits because the silence is the score. The poster is a tarot card on a beige carpet. You will not understand it and that is the point.

u/machina9000 — 9 days ago

I've wasted a lot of Seedance credits. Here are the 7 mistakes I was making.

I love Seedance and been heavily using it from 1.5 version, but of course 2.0 is asbolute beast, but you know it already. But it was the first model I really put effort to test, which usually was repeating the same mistakes, or prompt patterns I've used on other models. Here are my thought, I wonder if anyone has the same, or (I hope, that's what this post is for) can add some other tips. Also can't wait for 2.5, it's gonna shake the industry IMHO.
Some of you probably knows that stuff, so maybe it's more for people who just starting out.

  • Longer prompts produce worse output, not better

I was writing 150–200 word prompts thinking more detail equals more control. It doesn't. Seedance reads left-to-right with diminishing attention weight — your first sentence carries the most influence, and by the third sentence you're well into "detail territory" where coherence per element starts dropping. I tested this directly: a 70-word prompt consistently outperformed a structurally identical 200-word version of the same scene. The model stops treating late-prompt elements as primary instructions and starts sampling them diffusely. The sweet spot I landed on: 50–80 words, structured as subject + action in sentence 1, camera + style in sentence 2, constraints in sentence 3.

  • "Cinematic" is nearly useless.

I used this word in almost every prompt. It did nothing reliable. The problem is that "cinematic" was attached to an enormous range of footage in training data — dark thrillers, bright rom-coms, nature docs — so the model samples a broad, diffuse distribution when it encounters it. It has no specific meaning to the model. What works instead: name a director or a specific lighting setup. "Wes Anderson symmetry" gives you centered framing and pastel palette. "Kubrick one-point perspective" gives you geometric corridors. "Golden hour backlight, long shadows stretching forward" does what "cinematic lighting" never managed.

  • Stacking camera movements produces jitter.

"Dolly in while panning left" seems completely reasonable. In Seedance it produces artifact-heavy output every time. The reason: camera movements are spatial vectors, and the model processes them sequentially, not as a unified compound move. Two directional vectors simultaneously means the model tries to execute both in sequence, which produces jitter at the transition. I switched to one primary movement plus one texture modifier at most. "Slow dolly in, slightly handheld" works cleanly. "Dolly in while panning left" doesn't.

  • There are no negative prompts.

Coming from Stable Diffusion, writing "negative: jitter, bent limbs, deformation" felt completely natural to me. It made everything worse. Seedance has no negative embedding architecture — all text is processed as positive instruction. When you write "negative: jitter," the model reads noise it tries to interpret as a scene description, not a constraint. The fix I use now is positive constraint statements:

Instead of this:negative: jitter,negative: bent limbs,negative: flicker,negative: deformation

I use this:Face stable, Limbs anatomically natural,Consistent lighting, no flicker, Body proportions consistent throughout.

So it's like direct declarations of what must be true. That's what the architecture actually responds to.

  • The word "fast" degrades output quality.

This one surprised me the most. "Fast" is the single highest-degradation keyword when you combine it with complex action or camera movement. The reason: the temporal branch has to run multiple high-velocity calculations simultaneously when motion elements are layered — and "fast" asks all of them to run at maximum velocity at once. Two competing fast elements produce jitter. Three produce compounding error that's hard to salvage. I stopped using the word entirely. Instead I describe the physics: "feet striking hard, each stride full extension, arms pumping at 90 degrees" generates the perception of speed without triggering the degradation. One element can carry speed — just not all of them simultaneously.

  • Re-describing your reference image causes subject drift.

I'd upload a photo of a woman in a red dress and then write "a woman in a red dress standing at a window." The character came back slightly wrong every time. What's happening: when you re-describe the image in text, you give the model two competing inputs for the same subject. The model reconciles them, and reconciliation introduces drift. For image-to-video, I learned to keep the prompt to exactly two things — motion instructions and camera instructions. Everything already visible in the image stays out of the prompt entirely.

  • Generic quality words do nothing.

"Amazing," "beautiful," "high quality," "epic" — I was loading my prompts with these. You know what I think when I or someone uses these in prompts? That I have no idea what I want to create :). SHortest path to wasted credits and/or slop.

These words are useless because they're high-frequency labels attached to an enormous range of outputs in training data. The model has no idea what "epic" means for your specific use case. The fix: replace every generic adjective with a specific named thing. A director's name. A lighting setup. A lens spec ("anamorphic 2.39:1, lens flare from practical light source"). These sample narrow, well-trained distributions and actually move the output.

Am I missing something? would you add some other stuff?

reddit.com
u/Zealousideal-Cry7806 — 12 days ago

The most underused Seedance 2.0 feature - audio as an input (tutorial with prompts)

Seedance isn't treating audio as an output layer.

It's a conditioning input, meaning: the model processes your uploaded audio file "during generation", alongside your text and image references.

The temporal branch (the part of the model responsible for reasoning about time, motion, and sequence across frames) uses the sound's structure to decide when cuts happen, how fast camera movements accelerate, where visual energy peaks.

So it's not like post-production sync or something. It's choreography baked into the generation itself.

There are two features that make this real. Most people use neither.

  1. Beat sync: upload a track, get auto-choreographed visuals

Upload an MP3 as `@Audio1`. The model analyzes it across four dimensions simultaneously — beat positions, dynamic contour, timbral texture, and song structure sections.

Then it maps all of that to the visual output. Camera cuts snap to beats. Movement accelerates into the build. Visual energy peaks at the drop.

The prompt structure is three sentences (delete quotes, I had to add them to avoid reddit default formatting when using @):

Use '@Audio1` ( as the rhythmic foundation. Sync camera transitions`

to the beat positions. Visual energy should build with the audio

crescendo and peak at the drop.

That's it. Each sentence handles one thing: which file is the rhythm source, which visual element responds to it, how visual energy maps to the audio arc.

You can get more specific if you want different visual elements responding to different audio characteristics:

'@Audio1` drives the visual rhythm. Camera cuts land on the downbeats.`

Subject movement accelerates into the build, holds at the peak, releases

on the drop. Colour temperature shifts warmer with the crescendo.

Camera responds to beat position. Movement responds to dynamic contour. Colour responds to the overall energy arc. You're essentially mixing audio-to-visual assignments in the same prompt.

And it stacks with other references. You can run a character reference from `@Image1`, pull camera movement style from `@Video1`, and drive the rhythm from `@Audio1` at the same time. The model processes them all simultaneously:

'@Image1' as character reference. Follow '@Video1' camera movement style.

'@Audio1' as rhythmic foundation — sync all camera transitions to

the beat positions. Character movement should pulse with the music.

The one constraint: `@Video1` camera style and `@Audio1` rhythm have to be compatible. A slow continuous dolly from the video reference fighting an EDM track sends conflicting temporal instructions. Pick references that can coexist.

2. The audio script block — dialogue and lip-sync from text alone

This is the one that genuinely surprised me. No microphone. No recording session. No post-production audio work. You write a timestamped script inside your text prompt, and Seedance generates the voices, the sound effects, and the lip-sync automatically.

The syntax:

[AUDIO: 0s] sharp inhale

[AUDIO: 2s] sword clash, metallic ring

[AUDIO: 4s] character says "Now you see"

Quoted text inside the marker generates speech with automatic lip-sync. Physical descriptions generate sound effects. Each `[AUDIO: Xs]` is a timestamp in the clip. The model builds the audio and synchronises the character's lip movement to the generated voice waveform.

A more complete example with mixed dialogue and SFX:

[AUDIO: 0s] heavy footsteps on concrete, echoing in a corridor

[AUDIO: 2s] door bursting open, impact bang

[AUDIO: 3s] character says "Nobody move"

[AUDIO: 5s] tense silence, distant traffic

[AUDIO: 7s] character says "Put it down. Slowly."

[AUDIO: 9s] object placed on table, soft thud

One block.

Six audio events.

Two dialogue lines with lip-sync generated at millisecond accuracy.

The model generates the voice first, then maps facial movement to the waveform — so the quality of the lip-sync is mostly determined by how precisely you wrote the dialogue.

Exact quoted text outperforms paraphrase.

A strong character reference in `@Image1` gives the model a consistent mouth structure to animate. Close-up framing produces better lip-sync than wide shots where the face is small.

It works in multiple languages too. Write the dialogue in Spanish, Japanese, French — the model generates speech in that language with appropriate phoneme-level lip-sync.

And you can combine it with beat sync in the same generation:

'@Audio1' as background music. Sync camera transitions to the beats.

[AUDIO: 0s] music from '@Audio1' begins

[AUDIO: 3s] character says "This changes everything"

[AUDIO: 5s] sharp breath — beat drop hits simultaneously

[AUDIO: 8s] character says "Let's go"

Music from the uploaded file as the rhythmic foundation. Dialogue and SFX from the script block as foreground. Camera cuts synced to the beat structure. One generation, complete mixed output.

3. The 15-second extraction problem

The audio file limit is 15 seconds.

The model takes the first 15 seconds of whatever you upload.

If you drop in a full 3-minute track and let the model decide what to use, you almost always get the intro — which is low energy, often ambient, no rhythmic drive. Nothing for the model to work with.

The right 15 seconds follow a specific arc: a build followed by a drop.

Rising tension into a peak.

That dynamic gradient is what the model translates into visual structure.

A segment with uniform energy gives the model beats to detect but no arc to map to visual energy shifts — the output is rhythmically synced but dramatically flat.

Where to find the window:

- Pre-chorus into chorus

- Instrumental build into the drop (EDM, electronic, hip-hop)

- Verse climax into a bridge

- The last 15 seconds of an intro that breaks into the first hook

Extract exactly that segment before uploading. 256kbps MP3 or above — lower bitrate degrades beat detection. Don't upload the full track and hope. Pick the window, extract it, upload that.

Flipping the workflow — audio in first, visuals built around it — changes what the model produces at a structural level. It's not a subtle difference.

Go, have fun, try this approach and tell me if that made a difference in your outputs.

reddit.com
u/Zealousideal-Cry7806 — 11 days ago
▲ 6 r/Seedance_v2+1 crossposts

Seedance 2.0 human

Hey everyone,
Has anyone gotten Seedance 2.0 working reliably for human/UGC-style video through BytePlus ModelArk?

I’m building a video generation pipeline where the user uploads product photos and selects a preset. Internally we generate keyframes first, then animate each keyframe into short clips and stitch the final ad.

The issue: when the keyframe contains a realistic human/UGC creator, Seedance often blocks it for people/privacy recognition. Product-only and hands/product shots are fine, but clear human faces are the problem.

I was previously testing through OpenRouter, but now I created a direct BytePlus ModelArk API key with Seedance 2.0 / Mini / Fast enabled, yet I am still experiencing this errors with the blockage of real people, since we have a lot of presets that include people in them.

Questions:

  1. Does direct ModelArk access handle human/UGC clips better than OpenRouter?

  2. Is there a specific verified-human or asset-library flow required for realistic people?

  3. For those using Seedance in production, are you doing text-to-video for people instead of image-to-video from keyframes?

Not looking to bypass safety filters. I’m trying to understand the correct production setup for legitimate fictional UGC/product ad videos.

reddit.com
u/SwiinkaPeppa — 10 days ago
▲ 36 r/Seedance_v2+3 crossposts

Seedance 2.5 is insane! (30s output, 50 reference input😱)

Volcengine Launches Seedance 2.5

⬆️The attached video was made with Seedance 2.5

🔥 Three Major Core Upgrades

1. Breakthrough in Duration: Native 30-Second Single-Shot Generation
While the previous version 2.0 maxed out at 10–20 seconds, version 2.5 pushes the limit to generate native, continuous 30-second videos. Camera movements and character actions remain seamless throughout without any fragmentation, significantly reducing the workload of splicing multiple clips. It is perfectly suited for creating complete single-shot short videos, product commercials, and narrative short films.

2. Advanced Multi-Reference Input
Supports the simultaneous import of up to 50 omni-modal assets (allowing a mixed input of images, reference videos, audio, storyboards, and character designs). It stably preserves facial features, product details, and visual styles, effectively solving the issues of visual distortion and style deviation often caused by multiple reference inputs.

3. Fine-Grained Local Video Editing
Supports lossless localized modifications: Without altering the video's overall composition, camera movements, or background, users can independently replace specific objects, modify character outfits, or adjust local lighting. This eliminates the need to regenerate the entire video, drastically boosting iteration efficiency.

It will open access on June!

u/zeroludesigner — 13 days ago