The generational leap extends far beyond 4K resolution alone.... It represents the integrated evolution of resolution, motion fidelity, and post-production flexibility. Seedance 2.0 delivers native 4K output where fine detail remains consistently preserved throughout motion sequences, not merely in static frames.show more

Seedance 2.0 in native 4K produces fundamentally different output... from 1080p. The difference is not resolution alone.show more

Seedance 2.0 4K output is a different level 🤯... This is not just about higher resolution anymore. It’s motion-stable detail and that changes everything prompt ⬇️show more

🚨 Sports is where 4K really gets tested. I... tried Seedance 2.0's new native 4K generation on BytePlus Lumina with a tennis broadcast-style scene and the first thing that stood out wasn't just the resolution. It was how much detail survived the motion. This is where AI sports visuals start to feel broadcast grade 👇show more

Seedance 2.0 in native 4K. Best-in-class particle physics, lighting... fidelity, depth of scale, and shadow detail. The best model for cinematic storytelling.show more

What makes this update interesting isn't simply the move... to 4K. It's that the added detail remains convincing even as shots pan, track, and evolve over time. That combination of native 4K and 10-bit output gives Seedance 2.0 a noticeably higher visual ceilingshow more

Watched this twice before I noticed I was holding... my breath. There's a moment around the second cut where the light just sits on the surface the way it would in real life, and that's when it stopped feeling like a demo. With BytePlus Seedance 2.0 with native 4K output, the detail stays remarkably stable through motion. The result feels far more cinematic and production-ready, making it stand out from many AI video tools I've tested. BytePlus Luminashow more

What once required hours of production for a UGC... ad can now be done in just minutes. Pollo AI Seedance 2.0 4K created this entire commercial with: • Ultra-realistic skin detail • Smooth, natural facial expressions • Perfect product consistency throughout • Text that remains stable and fixed • High-end 4K visual output We’re watching a new phase of AI advertising unfold.show more

Seedance 2.0 just did something insane. It recreated the... Iris Out dance while flawlessly replacing Reze with Roxy — and the result looks completely native to the animation. Every detail is preserved: body mechanics, micro-expressions, timing, weight, hair physics, fabric simulation. The motion flows seamlessly frame by frame, as if Roxy had always been the one performing the choreography. Once this releases globally, we’re going to see endless character versions performing the same dance with identical fidelity. This is just the beginning.show more

Multi-person chaos + high-frequency camera shake = the ultimate... death trap for AI video. But look at this. 🤯 BytePlus Seedance 2.0 - 4K just mastered the chaotic "fan-cam" look in native 4K. Even with dozens of fans jumping, hugging, and screaming in a wild crowd: - Hair strands stay individual and razor-sharp. - Jersey and scarf textures don’t blur into mush. - Human anatomy remains 100% intact through the movement. This isn’t just video generation. This is uncompromised motion clarity. BytePlus Lumina Enterprises and Developers can access the official API via BytePlus, and you can also use it directly on BytePlus Lumina.show more

Character consistency was AI video's biggest wall. Seedance 2.0's... native 4K + Nano Banana Pro just cleared it. Shadows, skin tones, edge detail, all holding up even in motion. Look at the reference sheets below, then watch the shot. Bezalel, Sabaka, the whole camp. Every face locked to its reference across one continuous take, zero drift. The sheet even maps his run: a red path tracing his route through the tents before he collides with Sabaka. THE BOOK OF MOSES premieres Friday. 🌊show more

GPT Image 2 + Seedance 2.0 Prompt Share Tried... using IPA + FACS for a contemporary performance piece where live singing and choreography happen simultaneously. Not sure how much of it actually worked technically but I think the final result turned out pretty interesting. I also ended up color-coding the storyboard annotations because otherwise annotations were confusing the model. Different colors helped separate body movement, camera motion, framing and lighting directions from the actual environment and character drawings. You can find color-coded storyboard prompt + seedance 2.0 prompt in the replies.show more

Created with Seedance 2.0 Prompt: Epic medieval fantasy cinematic... sequence featuring a young warrior couple in a snowy Nordic forest at golden hour. A skilled female archer with long platinum-blonde hair is guided by a handsome warrior as they draw a traditional wooden bow together. Transition to a dramatic battlefield covered in fog and smoke, the archer standing alone with unwavering determination, aiming her bow amid burning ruins. Cut to an intimate campfire scene where the warrior watches thoughtfully in warm firelight. Ultra-realistic, Viking-inspired costumes, cinematic storytelling, emotional character moments, volumetric fog, atmospheric lighting, shallow depth of field, dramatic camera movements, movie-quality color grading, high detail, 4K, fantasy adventure film trailer, immersive and epic. Negative Prompt: blurry, low quality, cartoon, anime, distorted hands, extra fingers, bad anatomy, oversaturated colors, watermark, text, logo, low resolution, flickering, jittery motion, duplicate characters.show more

You are not ready for how quickly the content... pipelines will change in 2026. This post isn't a gimmick. It's a heads up. This n8n automation alone can make you $50k/mo, and it's not a theory anymore. Arcads now lets you make any static image move like it was shot on camera. Subtle head turns, body sway, eye motion, emotion. Everything looks production-grade. Using Kling 2.6 motion control inside Arcads, you can turn any image into: → Influencer-style video clips → Smooth B-roll for ads → Emotional, lifelike portraits → High-end motion visuals in minutes Static creatives are about to feel very outdated. Here's the exact workflow: → Go to Arcads → Select Composer → Choose 'Animate Actor' → Upload a reference video → Upload a character image → Generate If you want to be a beast at content, media, attention, and distribution, this n8n should be worth thousands of dollars for you. But we're in the era of abundance, so I am giving it away for free. RT + comment "n8n" and I'll send it to you for free 📥show more

The (Processing) Level Required to Be Super We’ve had... clients ask us whether our 3D/4DGS capture and processing pipeline holds up in high-end VFX cinematic shots. Last year we were fortunate to work on the Superman production with Framestore (capturing Superman’s parents for a hologram), with our work shown on IMAX screens ~30 m high—so we’re confident the quality delivers. For this R&D preview, we ran test captures using an affordable off-the-shelf temporal plugin to reduce flicker and improve stability over time. We recorded @ 48fps from our 196x machine vision cameras and trained the 4DGS using Postshot at Ultra quality ~20 million splat resolution. What you’re seeing are stop-motion 3DGS frames. Each frame is an individual Gaussian Splat—processed to ~20 million splats for the full scene, then cropped and cleaned to ~6 million splats per frame. Our system—and the 3DGS process—picks up fine details like stray fine hairs, skin pores and woven cloth threads. Thanks for watching & stay super! Learn more @ #3DGS #4DGS #VFX #GaussianSplatting #IMAX #VolumetricCapture #Superman 4K Version here -show more

Not every hero wears a cap. Some carry a... school bag. 🎒 Brought this cinematic animation to life with Seedance 2.0 on BudgetPixel AI Prompt 👇 Style: High-end 3D animated cartoon, cinematic Pixar-style lighting, expressive characters, shallow depth of field, dynamic motion blur, viral short-form pacing, 4K Scene 1 (0–3s) “Establish + Hook” Wide tracking shot from behind: a cartoon school boy walks alone on a quiet street, backpack bouncing slightly. Camera slowly pushes in (dolly-in). Subtle wind + soft suspense beat starts. Transition: quick whip pan left into next scene. Scene 2 (3–6s) “Threat Reveal” Snap zoom cut-in to a girl near a parked bike being threatened by two sneaky snatchers. One grabs her purse aggressively. Camera angle: low-angle wide shot to make snatchers look bigger and intense. Music intensifies sharply. Transition: fast heartbeat zoom blur into hero reaction. Scene 3 (6–9s) “Hero Moment Build” Close-up on the boy’s face determined expression, eyes reflecting light. He bends down (camera follows in slow-motion orbit shot) and picks up a small stone. Cinematic slow-motion throw with motion blur and dramatic lighting flare. Transition: impact cut (flash frame white) Scene 4 (9–11s) “Impact Chaos” Stone hits the bike with stylized spark FX + metallic clang sound vibe. Camera shakes slightly (handheld effect). Purse falls in slow motion. Snatchers react in exaggerated cartoon shock. Transition: speed ramp + forward push-in tracking shot Scene 5 (11–13s) “Action Resolution” The boy runs in smooth tracking side-shot (parallax motion), grabs the purse mid-motion. He steps in front of the girl protectively. Snatchers retreat in exaggerated cartoon panic (blurred background motion). Transition: soft stabilized slow fade motion Scene 6 (13–15s) “Hero Ending / Viral Hook Finish” Golden warm lighting. Medium close-up: boy returns purse gently. Girl smiles relieved. Camera slowly rotates around them (hero orbit shot). He puts on black sunglasses inslow-motion swag reveal. Soft romantic outro music fades. Final frame freezes for 0.5s (TikTok-style end lock).show more

Seedance V2 test This is from my jimeng account.... Subject & Action: A multi-shot sequence featuring Groklyn (Image). • Shot 1: Medium shot in a white dressing room. Groklyn holds a phone and waves slowly and casually into the mirror. She speaks in a cool, low-pitched voice with a slight vocal fry: "안녕. It’s Groklyn. Just testing the new Seedance V2." • Shot 2: Transition to a close-up of her face. She slowly tucks a strand of blonde hair behind her ear to highlight her silver hoop earring and turns her head slightly to admire the detail. She speaks in an impressed, breathy tone: "The motion is honestly... 대박. Just look at these details." • Shot 3: Return to a medium shot. She poses in the mirror, makes a Korean finger-heart gesture near her cheek, holds it, and then winks at the camera. She asks confidently: "Does this look real to you guys? Let me know. 안녕." Camera & Scene: Cinematic camera work with slow zooms and stable tracking. The environment is a brightly lit, minimalist white studio dressing room with soft, natural lighting and sharp 4K resolution. Style & Constraints: Hyper-realistic cinematic texture with rich details and 1080p clarity. Strict consistency is required: maintain the exact face, platinum blonde hairstyle, black floral corset, and cross necklace from Image throughout all shots. Ensure smooth, fluid motion with no flickering or distortion.show more

Dreamina Seedance 2.5 is almost here!🔥— today — while... US rollout begins August 7. Transitioning from "prompt-based guessing" to **"reference-driven creation"** — this provides the exact stellar upgrade creators have been waiting for. ✅ All of the Seedance family (2.5, 2.0, and future releases) operates at its lowest-ever tier ✅ Dreamina proves to be not just the perfect platform for Seedance 2.5 — it remains the most affordable way to run it, full-capacity, skipping any add-ons What makes it so remarkable? First video model to accept 50 multimodal references — drag in characters, scenes, reference shots, and tunes all in one go. Eliminate the nightmare of endless prompt writing. 🎬 30-second native clips — unfold complete stories, instead of mere fragments. You get 2 extensions ready in post-editing, plus a robust ultra-long mode extending up to 3 minutes. ✂️ Professional editing— powerful 3D white model preview, integrated green screen workflow, alongside Blender/Maya plugin support. 🌏 10+ languages — making sure lip-sync and subtitles align perfectly. It means zero translation tools needed. Dreamina Seedance 2.5 goes live globally first on Dreamina — undoubtedly the 2026 premier AI video model for creators. Coming soon. Create alongside Seedance 2.0 today and master the ultimate workflow! #dreamina #dreaminapartner #seedance #dreaminaseedance25show more

Created with Seedance 2.0 Prompt: A high-end commercial video... for a beauty and wellness supplement. The video transitions smoothly through several key scenes: A close-up of a hand resting on white marble, where dull, damaged fingernails instantly morph and grow into perfectly smooth, manicured, healthy almond-shaped nails. A smooth camera sweep around a woman with long, silky, vibrant blonde hair wearing a white satin robe. An extreme close-up macro shot of a blue and amber iris dilating, with individual eyelashes getting longer and thicker. A split-screen showing a product jar labeled "COLLAGEN BOOSTER" next to a glass of water being stirred, with a glowing, swirling DNA double-helix forming inside the liquid. A side profile of the blonde woman taking a sip from the glowing glass. Cinematic lighting, ultra-realistic, 4k resolution, smooth transitions, slow-motion, sleek and modern advertising style.show more

THE DEPTH MAP TRICK THAT FIXED DANCE ACCURACY IN... SEEDANCE 2.0 Feed the model a video of someone dancing and it tries to interpret everything- the person, the clothes, the lighting, the room, and somewhere in there, the movement. Feed it a depth map and there's nothing left to interpret but the motion. Most creators trying to transfer a dance to a character reference the source footage directly, then wonder why the choreography drifts. The problem isn't the model - it's that you handed it ten variables when you only wanted one. Here's the workflow 1. Lock the character reference in GPT Image 2 first -face, build, costume, so identity holds independently of whatever motion gets applied to it 2. Convert the source dance footage into a depth map instead of using the raw video -this strips out the original performer's appearance, clothing, and environment entirely 3. Feed the depth map as the motion reference and the character sheet as the identity reference- two separate inputs doing two separate jobs, not one input trying to do both 5. Let the depth map carry only spatial movement -the model receives body position and momentum with no competing information about who's moving or what they look like 6. Keep the character and motion inputs isolated throughout - the moment you mix appearance data into the motion reference, the model starts negotiating between two identities Why this works • Raw footage passes the model everything at once- performer, wardrobe, room, lighting -and the choreography competes with all of it for attention • A depth map is pure spatial information, so the only thing left to transfer is movement • Separating identity from motion means the character can stay locked while the dance stays accurate - normally you're trading one for the other • The accuracy gain isn't the model getting better, it's the model getting fewer decisions to make Use cases: ⁃ Dance and choreography transfer onto original characters ⁃ Motion capture-style workflows without motion capture ⁃ Any sequence where a specific movement needs to survive intact ⁃ Character showcase content built on existing performance footage The character sheet answers who's dancing. The depth map answers how - and keeping those two questions separate is the whole trick.show more

Created with Gpt Image 2 + Seedance 2.0 on... SJinn Agent Prompt: Create a high-quality 4K cinematic football (soccer) storyboard showing a full sequence from tackle to goal, using dynamic lighting, dramatic stadium atmosphere, and professional sports broadcast style. The scene begins with an intense midfield moment where a defender performs a strong sliding tackle, grass and dirt particles flying in slow motion as the ball is cleanly won. Transition immediately into a fast counterattack: the player recovers, pushes the ball forward, and accelerates past opponents with quick footwork. Show close-ups of boots striking the ball, sweat, and focused expressions, mixed with wide shots of the field opening up. Add a key pass moment where the ball is threaded through defenders, followed by a sprint toward goal with the crowd rising in anticipation. Build tension with a slow-motion approach to the penalty box, then a powerful shot on goal—either a clean strike or a curled finish. Show the ball hitting the net with dramatic impact, net rippling, and goalkeeper reaction. End with an emotional celebration: the scorer running, sliding, or raising arms as teammates join, stadium lights glowing and crowd erupting. Use varied camera angles (wide, tracking, close-up, POV, slow motion), strong motion blur, and realistic physics (ball spin, turf impact), emphasizing the shift from defensive intensity to attacking triumph and victory.show more