Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments TL;DR: We present WildGS-SLAM, a robust monocular RGB SLAM system. - Utilizes uncertainty-aware tracking and mapping to handle dynamic scenes. - Leverages DINOv2-based uncertainty maps for dynamic object removal. - Improves tracking and mapping. - Enables high-quality view synthesis.

janusch_patas's profile picture

MrNeRF

16,860 subscribers

17,420 görüntüleme • 1 yıl önce •via X (Twitter)

Bilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

GSTAR: Gaussian Surface Tracking and Reconstruction Contributions: • A new framework for tracking and reconstructing dynamic scenes, combining 3D Gaussians and meshes to effectively manage changes in topology. • A method for Gaussian unbinding and surface re-meshing, allowing for the generation of new surfaces as topologies evolve. • A method for handling large or fast deformations of surfaces between frames using scene flow warping. Abstract (excerpt): However, tracking dynamic surfaces with 3D Gaussians remains challenging due to complex topology changes, such as surfaces appearing, disappearing, or splitting. To address these challenges, we propose GSTAR, a novel method that achieves photo-realistic rendering, accurate surface reconstruction, and reliable 3D tracking for general dynamic scenes with changing topology. Given multi-view captures as input, GSTAR binds Gaussians to mesh faces to represent dynamic objects. For surfaces with consistent topology, GSTAR maintains the mesh topology and tracks the meshes using Gaussians.
0:13

GSTAR: Gaussian Surface Tracking and Reconstruction Contributions: • A new framework for tracking and reconstructing dynamic scenes, combining 3D Gaussians and meshes to effectively manage changes in topology. • A method for Gaussian unbinding and surface re-meshing, allowing for the generation of new surfaces as topologies evolve. • A method for handling large or fast deformations of surfaces between frames using scene flow warping. Abstract (excerpt): However, tracking dynamic surfaces with 3D Gaussians remains challenging due to complex topology changes, such as surfaces appearing, disappearing, or splitting. To address these challenges, we propose GSTAR, a novel method that achieves photo-realistic rendering, accurate surface reconstruction, and reliable 3D tracking for general dynamic scenes with changing topology. Given multi-view captures as input, GSTAR binds Gaussians to mesh faces to represent dynamic objects. For surfaces with consistent topology, GSTAR maintains the mesh topology and tracks the meshes using Gaussians.

MrNeRF

22,698 görüntüleme • 1 yıl önce

I am blown away 🤯. Check this out! CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models TL;DR: "To enable broader exploration of dynamic scenes, our model can generate new video clips of the same scene based on previously generated content and user-provided camera trajectories. This approach maintains dynamic capabilities, accurate camera control, and scene consistency throughout the extended exploration." "Our model enables precise camera control across diverse scenarios while preserving dynamic scene elements, e.g." "Our method can generate videos with strong 3D consistency, which enables high-quality 3D reconstruction using the camera-controlled videos." Contributions: 1) A systematic data curation pipeline for constructing a dynamic video dataset with camera trajectory annotations; 2) A lightweight camera control injection module and corresponding training strategy that preserves dynamic video generation capabilities while adding camera control effect; 3) A clip-wise autoregressive generation recipe that enables extended range exploration of generated scenes.
0:10

I am blown away 🤯. Check this out! CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models TL;DR: "To enable broader exploration of dynamic scenes, our model can generate new video clips of the same scene based on previously generated content and user-provided camera trajectories. This approach maintains dynamic capabilities, accurate camera control, and scene consistency throughout the extended exploration." "Our model enables precise camera control across diverse scenarios while preserving dynamic scene elements, e.g." "Our method can generate videos with strong 3D consistency, which enables high-quality 3D reconstruction using the camera-controlled videos." Contributions: 1) A systematic data curation pipeline for constructing a dynamic video dataset with camera trajectory annotations; 2) A lightweight camera control injection module and corresponding training strategy that preserves dynamic video generation capabilities while adding camera control effect; 3) A clip-wise autoregressive generation recipe that enables extended range exploration of generated scenes.

MrNeRF

12,633 görüntüleme • 1 yıl önce

Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians paper page: Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups. In this paper, we propose Gaussian Head Avatar represented by controllable 3D Gaussians for high-fidelity head avatar modeling. We optimize the neutral 3D Gaussians and a fully learned MLP-based deformation field to capture complex expressions. The two parts benefit each other, thereby our method can model fine-grained dynamic details while ensuring expression accuracy. Furthermore, we devise a well-designed geometry-guided initialization strategy based on implicit SDF and Deep Marching Tetrahedra for the stability and convergence of the training procedure. Experiments show our approach outperforms other state-of-the-art sparse-view methods, achieving ultra high-fidelity rendering quality at 2K resolution even under exaggerated expressions.
0:12

Gaussian Head Avatar: Ultra High-fidelity Head Avatar via Dynamic Gaussians paper page: Creating high-fidelity 3D head avatars has always been a research hotspot, but there remains a great challenge under lightweight sparse view setups. In this paper, we propose Gaussian Head Avatar represented by controllable 3D Gaussians for high-fidelity head avatar modeling. We optimize the neutral 3D Gaussians and a fully learned MLP-based deformation field to capture complex expressions. The two parts benefit each other, thereby our method can model fine-grained dynamic details while ensuring expression accuracy. Furthermore, we devise a well-designed geometry-guided initialization strategy based on implicit SDF and Deep Marching Tetrahedra for the stability and convergence of the training procedure. Experiments show our approach outperforms other state-of-the-art sparse-view methods, achieving ultra high-fidelity rendering quality at 2K resolution even under exaggerated expressions.

AK

65,861 görüntüleme • 2 yıl önce

App Showcase!✨ Introducing Tower Stack—A 3D arcade game crafted with Alchemist AI, Tower Stack showcases our platform’s ability to combine advanced generation capabilities with essential game mechanics for a polished and engaging experience. • Physics-Based Gameplay: Advanced physics simulations, including collision detection and object dynamics drive every block's movement and placement. • Dynamic Camera Movement: A responsive camera system ensures smooth tracking and adapts fluidly to gameplay, keeping the focus on key actions for an optimized player experience. • Progressive Difficulty: As players progress, stacking speed increases and block variations evolve, creating a scalable challenge. • High Score Tracking: Scores are saved across sessions allowing players to compete and track their achievements.
0:15

App Showcase!✨ Introducing Tower Stack—A 3D arcade game crafted with Alchemist AI, Tower Stack showcases our platform’s ability to combine advanced generation capabilities with essential game mechanics for a polished and engaging experience. • Physics-Based Gameplay: Advanced physics simulations, including collision detection and object dynamics drive every block's movement and placement. • Dynamic Camera Movement: A responsive camera system ensures smooth tracking and adapts fluidly to gameplay, keeping the focus on key actions for an optimized player experience. • Progressive Difficulty: As players progress, stacking speed increases and block variations evolve, creating a scalable challenge. • High Score Tracking: Scores are saved across sessions allowing players to compete and track their achievements.

ALCHEMIST AI 🔮

23,127 görüntüleme • 1 yıl önce

3D Gaussian Splatting for Real-Time Radiance Field Rendering paper page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.
0:18

3D Gaussian Splatting for Real-Time Radiance Field Rendering paper page: Radiance Field methods have recently revolutionized novel-view synthesis of scenes captured with multiple photos or videos. However, achieving high visual quality still requires neural networks that are costly to train and render, while recent faster methods inevitably trade off speed for quality. For unbounded and complete scenes (rather than isolated objects) and 1080p resolution rendering, no current method can achieve real-time display rates. We introduce three key elements that allow us to achieve state-of-the-art visual quality while maintaining competitive training times and importantly allow high-quality real-time (>= 30 fps) novel-view synthesis at 1080p resolution. First, starting from sparse points produced during camera calibration, we represent the scene with 3D Gaussians that preserve desirable properties of continuous volumetric radiance fields for scene optimization while avoiding unnecessary computation in empty space; Second, we perform interleaved optimization/density control of the 3D Gaussians, notably optimizing anisotropic covariance to achieve an accurate representation of the scene; Third, we develop a fast visibility-aware rendering algorithm that supports anisotropic splatting and both accelerates training and allows realtime rendering. We demonstrate state-of-the-art visual quality and real-time rendering on several established datasets.

AK

633,674 görüntüleme • 3 yıl önce

📢Announcing our 3D head avatar benchmark📢 Two tasks with hidden test sets: - Dynamic Novel View Synthesis on Heads - Monocular FLAME-driven Head Avatar Reconstruction Our goal is to make research on 3D head avatars more comparable and ultimately increase the realism of digital humans. The benchmark studies distinct phenomena of 3D head avatar creation, such as extreme facial expressions, slow motion captures of shaking long hair, or complicated light reflection and refraction patterns of glasses. The two benchmark tasks assess two core desiderata of 3D avatars: While the novel view synthesis challenge focuses on best possible rendering quality of complex moving scenes, the avatar animation challenge is concerned with how well a driving signal is translated into an avatar. Evaluations are light-weight and consist of diverse video recordings from the popular NeRSemble dataset with a hidden test set. Participation in the benchmark is therefore straight-forward and requires only 5 reconstructions per task. Leaderboard and benchmark submission: Benchmark data access and toolkit: Great work by Tobias Kirschstein Simon Giebenhain
0:14

📢Announcing our 3D head avatar benchmark📢 Two tasks with hidden test sets: - Dynamic Novel View Synthesis on Heads - Monocular FLAME-driven Head Avatar Reconstruction Our goal is to make research on 3D head avatars more comparable and ultimately increase the realism of digital humans. The benchmark studies distinct phenomena of 3D head avatar creation, such as extreme facial expressions, slow motion captures of shaking long hair, or complicated light reflection and refraction patterns of glasses. The two benchmark tasks assess two core desiderata of 3D avatars: While the novel view synthesis challenge focuses on best possible rendering quality of complex moving scenes, the avatar animation challenge is concerned with how well a driving signal is translated into an avatar. Evaluations are light-weight and consist of diverse video recordings from the popular NeRSemble dataset with a hidden test set. Participation in the benchmark is therefore straight-forward and requires only 5 reconstructions per task. Leaderboard and benchmark submission: Benchmark data access and toolkit: Great work by Tobias Kirschstein Simon Giebenhain

Matthias Niessner

28,101 görüntüleme • 1 yıl önce

Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.
0:12

Wonderland: Navigating 3D Scenes from a Single Image Contributions: • First, we introduce a representation for controllable 3D generation by leveraging the generative priors from camera-guided video diffusion models. Unlike image models, video diffusion models are trained on extensive video datasets. This enables them to capture comprehensive spatial relationships within scenes across multiple views and embed a form of "3D awareness" in their latent space, which allows us to maintain 3D consistency in novel view synthesis. • Second, to achieve controllable novel view generation, we empower video models with precise control over specified camera motions. We introduce a novel dual-branch conditioning mechanism that effectively incorporates desired diverse camera trajectories into the video diffusion model. This enables expansion of a single image into a multi-view consistent capture of a 3D scene with precise pose control. • Third, to achieve efficient 3D reconstruction, we directly transform video latents into 3DGS. We propose a novel latent-based large reconstruction model (LaLRM) that lifts video latents to 3D in a feed-forward manner. With this design, during inference, our model directly predicts 3DGS from a single input image, effectively aligning the generation and reconstruction tasks—and bridging image space and 3D space—through the video latent space. Compared with reconstructing scenes from images, the video latent space offers a 256× spatial-temporal reduction while retaining essential and consistent 3D structural details. Such a high degree of compression is crucial, as it allows the LaLRM to handle a wider range of 3D scenes within the reconstruction framework, with the same memory constraints.

MrNeRF

52,849 görüntüleme • 1 yıl önce

Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.
0:15

Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents. Long-horizon agent sessions need a better way to surface insights about what work it has done. This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it. You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making. I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research. I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more. I believe Andrej Karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.

elvis

37,016 görüntüleme • 3 ay önce

MiniMax H3 on Hailuo AI (MiniMax) feels like a major step forward for AI video creation. From cinematic storytelling and product commercials to UI mockups, game-inspired scenes, and branded content, it handles a wide range of creative workflows with impressive consistency. POV Modern Warfare FPS Gameplay Prompt Camera: First-person perspective at eye level with authentic handheld player movement, as if recorded directly from a modern AAA military shooter. The player carries a highly detailed assault rifle with realistic animations, visible hands, tactical gloves, dynamic reload mechanics, and weapon sway. **Opening Action:** The video immediately begins with the player already aiming down a roadway inside a modern military base. Multiple enemy soldiers are visible in the distance near sandbags, barricades, and military vehicles. The player carefully tracks one target, making small aim corrections while maintaining ADS (aim down sights). Fire several controlled bursts immediately at the visible enemies, producing realistic muzzle flashes, shell casings ejecting, smoke, recoil, hit reactions, and dust impacts around the targets. Continue firing in multiple short bursts while adjusting aim between enemies, simulating authentic FPS gameplay rather than scripted animation. **Movement:** After the opening firefight, lower slightly from ADS and begin advancing cautiously along the road beside concrete barriers, Hesco walls, and parked military vehicles. Frequently check left and right corners, briefly stop to reacquire targets, then raise the weapon and fire additional controlled bursts whenever enemies appear ahead. Continue pushing forward with deliberate player-controlled movement, using cover naturally and maintaining believable tactical pacing. **Environment:** Large modern military base with guard towers, armored vehicles, shipping containers, blast barriers, damaged buildings, smoke plumes, burning debris, scattered shell casings, dust clouds, and atmospheric battlefield haze. Cool natural daylight mixed with smoke and orange firelight creates a cinematic battlefield atmosphere. **Camera Motion:** Authentic player-controlled movement with subtle head bob, weapon sway, natural mouse-look adjustments, small left-right corrections while aiming, realistic recoil, smooth tracking of moving targets, brief pauses before shooting, and fluid forward progression. Avoid cinematic camera moves—everything should feel like genuine live gameplay captured by a skilled player. **Visual Quality:** Ultra-photorealistic, AAA game graphics with realistic PBR materials, detailed weapon models, physically accurate lighting, volumetric smoke, dynamic particle effects, crisp textures, realistic bullet impacts, muzzle flash illumination, motion blur only during rapid movement, and high-end military shooter presentation. **Gameplay UI:** Display a realistic modern FPS HUD inspired by games like PUBG, Battlefield, or Call of Duty (without copying exact copyrighted assets). Include: * Central dynamic crosshair or reticle * Ammo counter with magazine and reserve ammunition * Fire mode indicator * Compass at the top * Squad/team status panel * Mini-map in the upper corner * Health bar * Tactical equipment icons (grenades, medkit) * Hit markers when bullets connect * Directional damage indicators * Kill notification feed * Objective marker in the distance * Subtle interaction prompts and realistic HUD animations The HUD should feel polished, modern, and fully integrated into the gameplay, enhancing the illusion of authentic recorded footage from a contemporary military FPS. #MiniMaxH3
0:15

MiniMax H3 on Hailuo AI (MiniMax) feels like a major step forward for AI video creation. From cinematic storytelling and product commercials to UI mockups, game-inspired scenes, and branded content, it handles a wide range of creative workflows with impressive consistency. POV Modern Warfare FPS Gameplay Prompt Camera: First-person perspective at eye level with authentic handheld player movement, as if recorded directly from a modern AAA military shooter. The player carries a highly detailed assault rifle with realistic animations, visible hands, tactical gloves, dynamic reload mechanics, and weapon sway. **Opening Action:** The video immediately begins with the player already aiming down a roadway inside a modern military base. Multiple enemy soldiers are visible in the distance near sandbags, barricades, and military vehicles. The player carefully tracks one target, making small aim corrections while maintaining ADS (aim down sights). Fire several controlled bursts immediately at the visible enemies, producing realistic muzzle flashes, shell casings ejecting, smoke, recoil, hit reactions, and dust impacts around the targets. Continue firing in multiple short bursts while adjusting aim between enemies, simulating authentic FPS gameplay rather than scripted animation. **Movement:** After the opening firefight, lower slightly from ADS and begin advancing cautiously along the road beside concrete barriers, Hesco walls, and parked military vehicles. Frequently check left and right corners, briefly stop to reacquire targets, then raise the weapon and fire additional controlled bursts whenever enemies appear ahead. Continue pushing forward with deliberate player-controlled movement, using cover naturally and maintaining believable tactical pacing. **Environment:** Large modern military base with guard towers, armored vehicles, shipping containers, blast barriers, damaged buildings, smoke plumes, burning debris, scattered shell casings, dust clouds, and atmospheric battlefield haze. Cool natural daylight mixed with smoke and orange firelight creates a cinematic battlefield atmosphere. **Camera Motion:** Authentic player-controlled movement with subtle head bob, weapon sway, natural mouse-look adjustments, small left-right corrections while aiming, realistic recoil, smooth tracking of moving targets, brief pauses before shooting, and fluid forward progression. Avoid cinematic camera moves—everything should feel like genuine live gameplay captured by a skilled player. **Visual Quality:** Ultra-photorealistic, AAA game graphics with realistic PBR materials, detailed weapon models, physically accurate lighting, volumetric smoke, dynamic particle effects, crisp textures, realistic bullet impacts, muzzle flash illumination, motion blur only during rapid movement, and high-end military shooter presentation. **Gameplay UI:** Display a realistic modern FPS HUD inspired by games like PUBG, Battlefield, or Call of Duty (without copying exact copyrighted assets). Include: * Central dynamic crosshair or reticle * Ammo counter with magazine and reserve ammunition * Fire mode indicator * Compass at the top * Squad/team status panel * Mini-map in the upper corner * Health bar * Tactical equipment icons (grenades, medkit) * Hit markers when bullets connect * Directional damage indicators * Kill notification feed * Objective marker in the distance * Subtle interaction prompts and realistic HUD animations The HUD should feel polished, modern, and fully integrated into the gameplay, enhancing the illusion of authentic recorded footage from a contemporary military FPS. #MiniMaxH3

Sharon Riley

31,725 görüntüleme • 1 ay önce

Made with seedance 2.0 + GPT Image 2 on Yapper Prompt. Image mage1 fights three opponents inside a Japanese high school classroom in an intense, highly dynamic one-take action sequence. The classroom is filled with wooden desks, chairs, school bags, a chalkboard, sliding windows, curtains, fluorescent ceiling lights, posters, books, and scattered papers. The fight is fast, physical, and highly interactive with the environment. The woman moves between the desks with sharp agility, dodging attacks from all three opponents at once. She vaults over desks, slides across tabletops, kicks chairs into attackers, blocks strikes using classroom objects, grabs a backpack to deflect a hit, and uses the narrow aisles between desks to redirect momentum. Papers fly through the air, chairs scrape across the floor, desks topple, curtains whip from the movement, and sunlight cuts through the windows, catching dust particles in the air. The camera is extremely dynamic and close to the action, never a static wide shot. Use a fast-moving one-take camera that constantly follows, circles, ducks, whips, and pushes through the fight. The camera moves between desks, swings around the woman as she turns, rushes backward as opponents charge, drops low near the floor during leg sweeps, rises suddenly as she jumps over a desk, and whips around quickly to reveal the next attacker. The framing should feel urgent, handheld, immersive, and physically present inside the classroom. The action should feature strong choreography, realistic body movement, believable impact, fast reaction timing, close-range combat, and continuous motion. Make the scene feel like a high-budget martial arts action sequence captured in one uninterrupted shot. Use natural classroom lighting mixed with warm afternoon sunlight through the windows, realistic shadows, practical motion blur, grounded textures, real-world imperfections, and a raw cinematic look. No glossy AI finish, no overly polished CGI, and no static long-shot framing. Negative prompts: static camera, slow movement, shaky low-quality footage, blurry subject, distorted body, unrealistic swinging physics, cartoon style, flat lighting, dull colors, overexposed sky, broken buildings, empty streets, low detail, awkward camera cuts, poor motion continuity, AI glossy look, overly polished CGI, plastic-looking skin, waxy skin texture, hyper-smooth surfaces, artificial shine, fake cinematic bloom, excessive lens flare, unrealistic HDR, oversaturated colors, neon color grading, game-engine look, Unreal Engine render look, synthetic lighting, studio lighting, perfect clean reflections, overly sharp digital image, crispy AI detail, overprocessed image, fake depth of field, exaggerated bokeh, unnatural contrast, overly smooth motion, floating physics, rubbery body movement, distorted anatomy, warped limbs, inconsistent body proportions, blurry face, melted facial features, duplicated limbs, broken hands, unnatural pose, stiff action, low-quality motion interpolation, smeared motion blur, ghosting, frame blending artifacts, unstable subject tracking, camera jitter without purpose, awkward cuts, poor continuity, artificial city layout, empty streets, repeated cars, duplicated buildings, warped skyscrapers, fake traffic, low-detail background, superhero suit, comic-book look, stylized animation, overly dramatic VFX, unrealistic shadows, fake sun rays, unnatural haze, overexposed highlights, crushed blacks, sterile clean environments, no atmosphere, no real-world imperfections.
0:15

Made with seedance 2.0 + GPT Image 2 on Yapper Prompt. Image mage1 fights three opponents inside a Japanese high school classroom in an intense, highly dynamic one-take action sequence. The classroom is filled with wooden desks, chairs, school bags, a chalkboard, sliding windows, curtains, fluorescent ceiling lights, posters, books, and scattered papers. The fight is fast, physical, and highly interactive with the environment. The woman moves between the desks with sharp agility, dodging attacks from all three opponents at once. She vaults over desks, slides across tabletops, kicks chairs into attackers, blocks strikes using classroom objects, grabs a backpack to deflect a hit, and uses the narrow aisles between desks to redirect momentum. Papers fly through the air, chairs scrape across the floor, desks topple, curtains whip from the movement, and sunlight cuts through the windows, catching dust particles in the air. The camera is extremely dynamic and close to the action, never a static wide shot. Use a fast-moving one-take camera that constantly follows, circles, ducks, whips, and pushes through the fight. The camera moves between desks, swings around the woman as she turns, rushes backward as opponents charge, drops low near the floor during leg sweeps, rises suddenly as she jumps over a desk, and whips around quickly to reveal the next attacker. The framing should feel urgent, handheld, immersive, and physically present inside the classroom. The action should feature strong choreography, realistic body movement, believable impact, fast reaction timing, close-range combat, and continuous motion. Make the scene feel like a high-budget martial arts action sequence captured in one uninterrupted shot. Use natural classroom lighting mixed with warm afternoon sunlight through the windows, realistic shadows, practical motion blur, grounded textures, real-world imperfections, and a raw cinematic look. No glossy AI finish, no overly polished CGI, and no static long-shot framing. Negative prompts: static camera, slow movement, shaky low-quality footage, blurry subject, distorted body, unrealistic swinging physics, cartoon style, flat lighting, dull colors, overexposed sky, broken buildings, empty streets, low detail, awkward camera cuts, poor motion continuity, AI glossy look, overly polished CGI, plastic-looking skin, waxy skin texture, hyper-smooth surfaces, artificial shine, fake cinematic bloom, excessive lens flare, unrealistic HDR, oversaturated colors, neon color grading, game-engine look, Unreal Engine render look, synthetic lighting, studio lighting, perfect clean reflections, overly sharp digital image, crispy AI detail, overprocessed image, fake depth of field, exaggerated bokeh, unnatural contrast, overly smooth motion, floating physics, rubbery body movement, distorted anatomy, warped limbs, inconsistent body proportions, blurry face, melted facial features, duplicated limbs, broken hands, unnatural pose, stiff action, low-quality motion interpolation, smeared motion blur, ghosting, frame blending artifacts, unstable subject tracking, camera jitter without purpose, awkward cuts, poor continuity, artificial city layout, empty streets, repeated cars, duplicated buildings, warped skyscrapers, fake traffic, low-detail background, superhero suit, comic-book look, stylized animation, overly dramatic VFX, unrealistic shadows, fake sun rays, unnatural haze, overexposed highlights, crushed blacks, sterile clean environments, no atmosphere, no real-world imperfections.

auqib

20,636 görüntüleme • 2 ay önce

As we prepare to launch several projects, we're eager to provide a general update to our community. We are steadily approaching our end goal, thanks to the daily progress we're making toward our vision. Achieving our objectives will bring about a significant transformation in cross-chain interoperability and the flow of liquidity within protocols. This will address crucial challenges and drive mass adoption. Our future-focused approach and effective team collaboration keep us moving forward in an organized manner. Let’s delve deeper into the state of development of our current products and upcoming projects. Tao Bridge Starting with the Tao Bridge, which enables the #Bittensor community to unlock DeFi opportunities with their $TAO via a highly efficient blockchain like #MultiversX, known for its security, speed, and affordability. We deeply admire #Bittensor and believe a project like that is crucial for the future of not just the crypto space but also humanity, as it addresses the major challenges AI faces today: centralization, siloed and isolated work, which pose risks and hinder the technology's potential. We are committed to the vision of subnets and dynamic $TAO, convinced that this ecosystem is as groundbreaking as #Ethereum or #Bitcoin. We will continue to support #Bittensor wherever possible, and our bridge will also expand to other chains with Hatom V2. The TAO Bridge, deployed on and accessible through will launch on the Mainnet in 14 days, on March 27th. You can follow the countdown on the lending page at Given that our main priorities are security and stability, this period will be primarily focused on quality assurance to ensure a flawless Mainnet launch. The launch will also introduce TAO Liquid Staking at along with the integration of both $wTAO and $swTAO on the lending page. This allows #Bittensor users to leverage liquid stake, employ short or long strategies, among other DeFi strategies, or simply access stablecoin liquidity while maintaining exposure to their $TAO. Up to $1M will be distributed as additional incentives on top of the supply APYs at the launch of the $wTAO and $swTAO money markets, with $200K allocated for the first month specifically for bootstrapping. Initially, 70% of rewards will go to liquidity providers, and 30% to those using $HTM to boost their lending positions. This changes to a 50-50 split in the second month, and by the third month, all incentives are directed through the Booster. This approach encourages early participation and sustained engagement with $HTM. Introducing $TAO to #MultiversX will result in the creation of Liquidity Pools (LPs) on both AshSwap 🔥 and xExchange ⚡. These LPs will be incentivized by both entities, and Hatom will distribute extra rewards at launch. The goal is to make #MultiversX a one-stop hub for $TAO holders. Upon stabilizing the volumes, there will also be plans to integrate it on AshPerp 🔥. Furthermore, with the release of $USH, users will have the ability to mint it while retaining exposure to their $TAO. The TAO Bridge and TAO Liquid Staking smart contracts have been audited by Runtime Vеrification and @arda_project, while penetration testing and DevSecOps have been performed on our infrastructure by CertiK. We're excited to announce our exclusive partnership with TAONEW one of the top 5 validators on #Bittensor. TAONEW has been extremely helpful and supportive from day one. By sharing 50% of its service fee with its stakers, TAONEW enables Hatom to offer an optimized Staking APY to its users. Since our initial reference, #Bittensor has grown sevenfold, becoming the largest AI project in the crypto sphere. We reiterate our commitment to contribute to such technology and hope to address some of its current DeFi challenges. Syfy Moving forward, today marks a significant milestone, not only for our decentralized protocols but also for our development companies, which currently stand as the sole and primary contributors to the Hatom Labs and Soul Labs. We’re excited to unveil Syfy, the evolved identity of Hatom Labs and Soul Labs, now serving as the parent entity for our burgeoning development companies. Organization is crucial for scalability, which is why Syfy was established to cultivate an environment where our teams can collaborate more seamlessly, enhancing our effectiveness and efficiency. At the same time, we remain committed to upholding the financial independence of each project, supported by its own community of funding contributors. Feel free to explore our website at for more information! Additionally, don't forget to follow Syfy and explore their Genesis article highlighted in their initial post: Booster V2 The Booster V2 will introduce a range of new features and opportunities for $HTM holders: Optimized Position Boosting: Previously, boosting was done individually for each money market, necessitating $HTM token distribution and periodic rebalancing due to price fluctuations. With Booster V2, the system now considers the overall position, eliminating the need for manual rebalancing. Gas Fee Reduction: Booster V2 implements optimizations that result in reduced gas fees, making transactions more cost-effective for users. Incorporation of Governance: Users staking $HTM tokens gain voting rights directly within the Booster, allowing them to participate in governance decisions while maintaining their staked positions. (Note: Only $HTM tokens are considered for governance; LP tokens are not included.) Enhanced Boosting Mechanism: The Booster V2 enables LP Tokens to boost positions within the Booster, leveraging trading fees from swaps and farm incentives while boosting lending positions. Smart Contract Completion: The Booster smart contract has been completed and audited by @arda_project, ensuring security and reliability. Frontend Implementation: The frontend design for Booster V2 has been successfully implemented, providing users with an intuitive interface. Collaboration with xExchange: Exploration is ongoing for collaboration with xExchange ⚡ to enable LP creation, farming, and meta-staking within the Booster. Upon finalization of testing, we will launch the Booster V2 on the devnet to gather community feedback and begin preparations for the mainnet release. Soul Before delving into Soul Labs's developments, it's essential to summarize its core functionality briefly: Soul Labs seamlessly connects different lending protocols and blockchains, facilitating lending and borrowing across platforms like Aave, Compound Labs, and Hatom Labs, consolidating liquidity and users' borrowing capabilities. Utilizing LayerZero Labs and other messaging layers for cross-chain communication, Soul Labs bypasses asset bridging or synthetics, unlocking novel DeFi strategies and solidifying its position as the ultimate solution for cross-lending dilemmas. Soul V1 will be permissionless, holding censorship-resistant features, incorporating multiple redundancy mechanisms, and providing support for various DApps. We're thrilled to announce that, following the launch of the Tao Bridge in 2-3 weeks, we will introduce the Soul Labs website. This platform has been meticulously crafted over 250 days to not only provide a comprehensive overview of our vision but also to offer an engaging and captivating experience that promises to be memorable. Regarding the app, significant progress has been made on the V1 protocol, including: Smart Contract Development and Testing: • Completion of the initial phase of smart contract development. • Conducting advanced testing to ensure the system's robustness. • Establishment of a fully functional proof of concept. Successful deployment and testing on the #Goerli (#Ethereum Testnet) and #Mumbai (#Polygon Testnet), leveraging LayerZero Labs for seamless operation. Feature Enhancement and Protocol Optimization: • Enhanced testing procedures to bolster system resilience. • Integration of advanced features and significant code refactoring for optimization. • Incorporation of various communication methods, including LayerZero Labs, Formerly Axelar, now at @axelar, Chainlink CCIP), and wormholecrypto, into Soul Labs framework, enhancing its resilience and flexibility. This allows Soul Labs to maintain operation through alternative protocols if the primary one is temporarily paused. Website Development and Documentation: • Nearing the completion of the v1 app, with final touches being applied. • The preparation of comprehensive V1 documentation and the Yellow Paper, available upon Soul Labs's public launch, offering detailed insights into the platform's infrastructure and capabilities. USH Recognizing the critical need for stable liquidity within the ecosystem, we have positioned ourselves at the forefront of providing a solution by introducing $USH, the first native, decentralized, and over-collateralized stablecoin on #MultiversX. As market conditions have improved, we have observed a growing demand for stablecoins in the ecosystem, evidenced by the utilization rate in the Lending Protocol spiking to over 90% several times in recent months. Therefore, our goal is to tackle the current challenges faced by users by creating a robust product that will not only help them hedge against market volatility but also open up better opportunities to trade the markets and generate yield. We're happy to unveil the $USH website, now live with a sleek and intuitive user interface, designed for ease of use, which ensures that interacting with the protocol is straightforward and accessible for all. You can access it now through this link: For the technical side, we’re advancing steadily and we’ve accomplished the following milestones: Lending Protocol Facilitator: • Coded the first version to support multiple discount factors for different collaterals. • Implemented tracking of borrowing effectiveness to enable earnings forecasting for the module and support minting processes. Isolated Pools Facilitator: • Coded the first version of Isolated Pools Facilitator. • Use of $EGLD or $sEGLD as collateral, with positions stored always in $EGLD to benefit the protocol through Liquid Staking and lending interest. • Virtual account implementation for converting $sEGLD earnings into $USH, functioning like liquidation where users deposit $USH for a higher amount of $HsELGD. Staking Module • Coded the first version of the Staking Module that allows users to stake and unstake without any restrictions. We're currently focusing our efforts on the following tasks: • Implementation of HTM Booster in the discount model in the Lending Protocol. • Implementation of different depeg strategies and brainstorming further potential “soft” depeg mechanisms. • Research and implementation of rewards model for Staking Module. • Research and implementation of Boosted Vaults Facilitator. • Review and stress-test the first version of the code. Upon launch, $USH will be integrated into various protocols and AMMs across the ecosystem, further increasing both its utility and liquidity. The opportunities will be vast, enabling users to engage in a wide range of activities such as yield farming, staking, and arbitrage, all while leveraging a stable and reliable asset. Regarding the USH Airdrop campaign, it will continue until the official launch of $USH planned for late Q2-early Q3, rewarding all users who have actively participated in the initiative. Hatom V2 It is clear by now that we are driven to build a more robust, interoperable, and secure DeFi space, removing the current barriers that hinder users' capabilities to seamlessly interact with different blockchains. Through Hatom V2, we will introduce Hatom's cross-chain architecture, designed from the ground up for interoperability. This approach will elevate the protocol to unprecedented levels, enabling its deployment across various blockchains and facilitating seamless connections between them through Soul. By enhancing interoperability, Hatom V2 aims to foster a more inclusive and accessible ecosystem. This expansion will not only broaden the protocol's reach but also significantly increase its flexibility and utility, allowing users to interact with a diverse range of assets and products across different chains. We’re thrilled to share that we are currently crafting the V2 redesign of the Hatom webpage. Anticipate a jaw-dropping transformation that will truly astonish, blending cutting-edge design with an unparalleled user experience, elevating it to a dynamic, interactive hub, and making every interaction more engaging. Good things take time, but we are confident that the release of V2 website will take place in the second quarter of this year and will officially mark the start of our journey into the cross-chain landscape. We are excited about the future and we truly believe that this will mark the beginning of a new era for Hatom. It's crucial for us to develop rapidly without sacrificing the quality or the security of each product. We're strategically allocating resources to ensure smooth progress in every area of our work. As we push forward, we believe that the launch of Soul Labs will be the most important milestone due to its massive potential and disruptive technology. We would like to thank you all for the unwavering support you've shown over the past few months; it truly fuels our passion to push daily and make strides toward achieving our ambitious goals.
0:11

As we prepare to launch several projects, we're eager to provide a general update to our community. We are steadily approaching our end goal, thanks to the daily progress we're making toward our vision. Achieving our objectives will bring about a significant transformation in cross-chain interoperability and the flow of liquidity within protocols. This will address crucial challenges and drive mass adoption. Our future-focused approach and effective team collaboration keep us moving forward in an organized manner. Let’s delve deeper into the state of development of our current products and upcoming projects. Tao Bridge Starting with the Tao Bridge, which enables the #Bittensor community to unlock DeFi opportunities with their $TAO via a highly efficient blockchain like #MultiversX, known for its security, speed, and affordability. We deeply admire #Bittensor and believe a project like that is crucial for the future of not just the crypto space but also humanity, as it addresses the major challenges AI faces today: centralization, siloed and isolated work, which pose risks and hinder the technology's potential. We are committed to the vision of subnets and dynamic $TAO, convinced that this ecosystem is as groundbreaking as #Ethereum or #Bitcoin. We will continue to support #Bittensor wherever possible, and our bridge will also expand to other chains with Hatom V2. The TAO Bridge, deployed on and accessible through will launch on the Mainnet in 14 days, on March 27th. You can follow the countdown on the lending page at Given that our main priorities are security and stability, this period will be primarily focused on quality assurance to ensure a flawless Mainnet launch. The launch will also introduce TAO Liquid Staking at along with the integration of both $wTAO and $swTAO on the lending page. This allows #Bittensor users to leverage liquid stake, employ short or long strategies, among other DeFi strategies, or simply access stablecoin liquidity while maintaining exposure to their $TAO. Up to $1M will be distributed as additional incentives on top of the supply APYs at the launch of the $wTAO and $swTAO money markets, with $200K allocated for the first month specifically for bootstrapping. Initially, 70% of rewards will go to liquidity providers, and 30% to those using $HTM to boost their lending positions. This changes to a 50-50 split in the second month, and by the third month, all incentives are directed through the Booster. This approach encourages early participation and sustained engagement with $HTM. Introducing $TAO to #MultiversX will result in the creation of Liquidity Pools (LPs) on both AshSwap 🔥 and xExchange ⚡. These LPs will be incentivized by both entities, and Hatom will distribute extra rewards at launch. The goal is to make #MultiversX a one-stop hub for $TAO holders. Upon stabilizing the volumes, there will also be plans to integrate it on AshPerp 🔥. Furthermore, with the release of $USH, users will have the ability to mint it while retaining exposure to their $TAO. The TAO Bridge and TAO Liquid Staking smart contracts have been audited by Runtime Vеrification and @arda_project, while penetration testing and DevSecOps have been performed on our infrastructure by CertiK. We're excited to announce our exclusive partnership with TAONEW one of the top 5 validators on #Bittensor. TAONEW has been extremely helpful and supportive from day one. By sharing 50% of its service fee with its stakers, TAONEW enables Hatom to offer an optimized Staking APY to its users. Since our initial reference, #Bittensor has grown sevenfold, becoming the largest AI project in the crypto sphere. We reiterate our commitment to contribute to such technology and hope to address some of its current DeFi challenges. Syfy Moving forward, today marks a significant milestone, not only for our decentralized protocols but also for our development companies, which currently stand as the sole and primary contributors to the Hatom Labs and Soul Labs. We’re excited to unveil Syfy, the evolved identity of Hatom Labs and Soul Labs, now serving as the parent entity for our burgeoning development companies. Organization is crucial for scalability, which is why Syfy was established to cultivate an environment where our teams can collaborate more seamlessly, enhancing our effectiveness and efficiency. At the same time, we remain committed to upholding the financial independence of each project, supported by its own community of funding contributors. Feel free to explore our website at for more information! Additionally, don't forget to follow Syfy and explore their Genesis article highlighted in their initial post: Booster V2 The Booster V2 will introduce a range of new features and opportunities for $HTM holders: Optimized Position Boosting: Previously, boosting was done individually for each money market, necessitating $HTM token distribution and periodic rebalancing due to price fluctuations. With Booster V2, the system now considers the overall position, eliminating the need for manual rebalancing. Gas Fee Reduction: Booster V2 implements optimizations that result in reduced gas fees, making transactions more cost-effective for users. Incorporation of Governance: Users staking $HTM tokens gain voting rights directly within the Booster, allowing them to participate in governance decisions while maintaining their staked positions. (Note: Only $HTM tokens are considered for governance; LP tokens are not included.) Enhanced Boosting Mechanism: The Booster V2 enables LP Tokens to boost positions within the Booster, leveraging trading fees from swaps and farm incentives while boosting lending positions. Smart Contract Completion: The Booster smart contract has been completed and audited by @arda_project, ensuring security and reliability. Frontend Implementation: The frontend design for Booster V2 has been successfully implemented, providing users with an intuitive interface. Collaboration with xExchange: Exploration is ongoing for collaboration with xExchange ⚡ to enable LP creation, farming, and meta-staking within the Booster. Upon finalization of testing, we will launch the Booster V2 on the devnet to gather community feedback and begin preparations for the mainnet release. Soul Before delving into Soul Labs's developments, it's essential to summarize its core functionality briefly: Soul Labs seamlessly connects different lending protocols and blockchains, facilitating lending and borrowing across platforms like Aave, Compound Labs, and Hatom Labs, consolidating liquidity and users' borrowing capabilities. Utilizing LayerZero Labs and other messaging layers for cross-chain communication, Soul Labs bypasses asset bridging or synthetics, unlocking novel DeFi strategies and solidifying its position as the ultimate solution for cross-lending dilemmas. Soul V1 will be permissionless, holding censorship-resistant features, incorporating multiple redundancy mechanisms, and providing support for various DApps. We're thrilled to announce that, following the launch of the Tao Bridge in 2-3 weeks, we will introduce the Soul Labs website. This platform has been meticulously crafted over 250 days to not only provide a comprehensive overview of our vision but also to offer an engaging and captivating experience that promises to be memorable. Regarding the app, significant progress has been made on the V1 protocol, including: Smart Contract Development and Testing: • Completion of the initial phase of smart contract development. • Conducting advanced testing to ensure the system's robustness. • Establishment of a fully functional proof of concept. Successful deployment and testing on the #Goerli (#Ethereum Testnet) and #Mumbai (#Polygon Testnet), leveraging LayerZero Labs for seamless operation. Feature Enhancement and Protocol Optimization: • Enhanced testing procedures to bolster system resilience. • Integration of advanced features and significant code refactoring for optimization. • Incorporation of various communication methods, including LayerZero Labs, Formerly Axelar, now at @axelar, Chainlink CCIP), and wormholecrypto, into Soul Labs framework, enhancing its resilience and flexibility. This allows Soul Labs to maintain operation through alternative protocols if the primary one is temporarily paused. Website Development and Documentation: • Nearing the completion of the v1 app, with final touches being applied. • The preparation of comprehensive V1 documentation and the Yellow Paper, available upon Soul Labs's public launch, offering detailed insights into the platform's infrastructure and capabilities. USH Recognizing the critical need for stable liquidity within the ecosystem, we have positioned ourselves at the forefront of providing a solution by introducing $USH, the first native, decentralized, and over-collateralized stablecoin on #MultiversX. As market conditions have improved, we have observed a growing demand for stablecoins in the ecosystem, evidenced by the utilization rate in the Lending Protocol spiking to over 90% several times in recent months. Therefore, our goal is to tackle the current challenges faced by users by creating a robust product that will not only help them hedge against market volatility but also open up better opportunities to trade the markets and generate yield. We're happy to unveil the $USH website, now live with a sleek and intuitive user interface, designed for ease of use, which ensures that interacting with the protocol is straightforward and accessible for all. You can access it now through this link: For the technical side, we’re advancing steadily and we’ve accomplished the following milestones: Lending Protocol Facilitator: • Coded the first version to support multiple discount factors for different collaterals. • Implemented tracking of borrowing effectiveness to enable earnings forecasting for the module and support minting processes. Isolated Pools Facilitator: • Coded the first version of Isolated Pools Facilitator. • Use of $EGLD or $sEGLD as collateral, with positions stored always in $EGLD to benefit the protocol through Liquid Staking and lending interest. • Virtual account implementation for converting $sEGLD earnings into $USH, functioning like liquidation where users deposit $USH for a higher amount of $HsELGD. Staking Module • Coded the first version of the Staking Module that allows users to stake and unstake without any restrictions. We're currently focusing our efforts on the following tasks: • Implementation of HTM Booster in the discount model in the Lending Protocol. • Implementation of different depeg strategies and brainstorming further potential “soft” depeg mechanisms. • Research and implementation of rewards model for Staking Module. • Research and implementation of Boosted Vaults Facilitator. • Review and stress-test the first version of the code. Upon launch, $USH will be integrated into various protocols and AMMs across the ecosystem, further increasing both its utility and liquidity. The opportunities will be vast, enabling users to engage in a wide range of activities such as yield farming, staking, and arbitrage, all while leveraging a stable and reliable asset. Regarding the USH Airdrop campaign, it will continue until the official launch of $USH planned for late Q2-early Q3, rewarding all users who have actively participated in the initiative. Hatom V2 It is clear by now that we are driven to build a more robust, interoperable, and secure DeFi space, removing the current barriers that hinder users' capabilities to seamlessly interact with different blockchains. Through Hatom V2, we will introduce Hatom's cross-chain architecture, designed from the ground up for interoperability. This approach will elevate the protocol to unprecedented levels, enabling its deployment across various blockchains and facilitating seamless connections between them through Soul. By enhancing interoperability, Hatom V2 aims to foster a more inclusive and accessible ecosystem. This expansion will not only broaden the protocol's reach but also significantly increase its flexibility and utility, allowing users to interact with a diverse range of assets and products across different chains. We’re thrilled to share that we are currently crafting the V2 redesign of the Hatom webpage. Anticipate a jaw-dropping transformation that will truly astonish, blending cutting-edge design with an unparalleled user experience, elevating it to a dynamic, interactive hub, and making every interaction more engaging. Good things take time, but we are confident that the release of V2 website will take place in the second quarter of this year and will officially mark the start of our journey into the cross-chain landscape. We are excited about the future and we truly believe that this will mark the beginning of a new era for Hatom. It's crucial for us to develop rapidly without sacrificing the quality or the security of each product. We're strategically allocating resources to ensure smooth progress in every area of our work. As we push forward, we believe that the launch of Soul Labs will be the most important milestone due to its massive potential and disruptive technology. We would like to thank you all for the unwavering support you've shown over the past few months; it truly fuels our passion to push daily and make strides toward achieving our ambitious goals.

Hatom Labs

203,486 görüntüleme • 2 yıl önce

Messi on the pitch, Messi on the canvas. 🐐🎨 Created with Seedance 2.0 on CapCut Prompt: SUBJECT: >>> WARDROBE: Stylish artist outfit consisting of paint-splattered denim overalls over a fitted white tank top. Colorful paint marks scattered naturally across the fabric. Hair tied into a messy creative bun with loose face-framing strands. The front bib of the overalls features a clearly visible embroidered "Zara" patch throughout the video. ENVIRONMENT: Bright contemporary art studio with large floor-to-ceiling windows. Wooden easel centered with a blank white canvas. Worktable covered with acrylic paints, brushes, palettes, palette knives, paint jars, sketchbooks, and colorful paint splatters. Sports magazines and football posters subtly decorate the background. Natural daylight fills the room. MOOD: Creative obsession, intense focus, artistic flow state, passionate admiration for a football legend, energetic craftsmanship. MUSIC: Fast-paced orchestral percussion mixed with rhythmic drums, building momentum throughout the creation process. COLOR LOGIC: Blank white canvas evolves into a vibrant, highly detailed portrait of Lionel Messi. Bright studio neutrals contrasted against rich blues, whites, golds, skin tones, and colorful paint pigments. STYLE: Ultra-realistic cinematic art documentary, high-speed kinetic editing, satisfying creative process visuals, dynamic camera movement, Edgar Wright-inspired pacing. LOGIC RULE: Blank canvas progressively transforms into a realistic painted portrait of Lionel Messi. Every stroke contributes logically to the final artwork. The "Zara" patch remains visible whenever the artist is shown. --- SHOT 1: MCU, 35mm handheld / Girl stands before a blank canvas. A Messi reference photo is clipped beside the easel. She studies both intensely and cracks her knuckles. / SFX: room ambience, knuckle crack. SHOT 2: Insert, 85mm macro / Paint tubes slam onto the table in rapid succession. Blue, white, black, gold, and skin-tone colors scatter across the workspace. / SFX: quick thumps. SHOT 3: ECU, 100mm macro / Thick ribbons of paint are squeezed dramatically onto a palette. / SFX: paint squish. SHOT 4: Insert, 50mm / Brushes are grabbed rapidly from a jar like selecting tools before battle. / SFX: brush clatter. SHOT 5: MS, 24mm push-in / First sketch lines appear on the blank canvas, outlining Messi's face and shoulders. The Zara patch is clearly visible. / SFX: pencil scratch. SHOT 6: ECU, 85mm tracking / Rapid brush strokes establish facial structure, hair, and beard contours. / SFX: paint swishes. SHOT 7: Insert, 100mm macro / Palette knife spreads textured paint across key areas of the portrait. / SFX: scrape. SHOT 8: Overhead WS, 24mm / Timelapse burst as the portrait rapidly takes shape. Messi's recognizable features emerge. / SFX: layered artistic sounds. SHOT 9: MCU, 35mm handheld / Girl steps back, compares the painting to the reference photo, nods, then jumps back into action. Zara patch visible. / SFX: footsteps. SHOT 10: Insert, 85mm macro / Detailed brushwork refines Messi's eyes, beard, and facial expression. / SFX: brush flicks. SHOT 11: MS, 35mm tracking / Rapid layering of highlights and shadows adds realism and depth. / SFX: rhythmic brush strokes. SHOT 12: ECU, 100mm macro / Tiny highlights are added to the eyes, bringing the portrait to life. / SFX: delicate strokes. SHOT 13: Overhead Timelapse / The artwork evolves into a polished, gallery-worthy portrait of Messi. / SFX: artistic montage. SHOT 14: MCU, 50mm / Girl signs the bottom corner of the painting with one confident brush stroke. / SFX: signature brush. SHOT 15: MS, 35mm reveal / She steps aside as the completed portrait of Lionel Messi fills the frame. Bright colors glow in the daylight. She folds her arms, smiles proudly, and nods toward the artwork. The Zara patch is clearly visible. / SFX: triumphant musical climax, music end.
0:15

Messi on the pitch, Messi on the canvas. 🐐🎨 Created with Seedance 2.0 on CapCut Prompt: SUBJECT: >>> WARDROBE: Stylish artist outfit consisting of paint-splattered denim overalls over a fitted white tank top. Colorful paint marks scattered naturally across the fabric. Hair tied into a messy creative bun with loose face-framing strands. The front bib of the overalls features a clearly visible embroidered "Zara" patch throughout the video. ENVIRONMENT: Bright contemporary art studio with large floor-to-ceiling windows. Wooden easel centered with a blank white canvas. Worktable covered with acrylic paints, brushes, palettes, palette knives, paint jars, sketchbooks, and colorful paint splatters. Sports magazines and football posters subtly decorate the background. Natural daylight fills the room. MOOD: Creative obsession, intense focus, artistic flow state, passionate admiration for a football legend, energetic craftsmanship. MUSIC: Fast-paced orchestral percussion mixed with rhythmic drums, building momentum throughout the creation process. COLOR LOGIC: Blank white canvas evolves into a vibrant, highly detailed portrait of Lionel Messi. Bright studio neutrals contrasted against rich blues, whites, golds, skin tones, and colorful paint pigments. STYLE: Ultra-realistic cinematic art documentary, high-speed kinetic editing, satisfying creative process visuals, dynamic camera movement, Edgar Wright-inspired pacing. LOGIC RULE: Blank canvas progressively transforms into a realistic painted portrait of Lionel Messi. Every stroke contributes logically to the final artwork. The "Zara" patch remains visible whenever the artist is shown. --- SHOT 1: MCU, 35mm handheld / Girl stands before a blank canvas. A Messi reference photo is clipped beside the easel. She studies both intensely and cracks her knuckles. / SFX: room ambience, knuckle crack. SHOT 2: Insert, 85mm macro / Paint tubes slam onto the table in rapid succession. Blue, white, black, gold, and skin-tone colors scatter across the workspace. / SFX: quick thumps. SHOT 3: ECU, 100mm macro / Thick ribbons of paint are squeezed dramatically onto a palette. / SFX: paint squish. SHOT 4: Insert, 50mm / Brushes are grabbed rapidly from a jar like selecting tools before battle. / SFX: brush clatter. SHOT 5: MS, 24mm push-in / First sketch lines appear on the blank canvas, outlining Messi's face and shoulders. The Zara patch is clearly visible. / SFX: pencil scratch. SHOT 6: ECU, 85mm tracking / Rapid brush strokes establish facial structure, hair, and beard contours. / SFX: paint swishes. SHOT 7: Insert, 100mm macro / Palette knife spreads textured paint across key areas of the portrait. / SFX: scrape. SHOT 8: Overhead WS, 24mm / Timelapse burst as the portrait rapidly takes shape. Messi's recognizable features emerge. / SFX: layered artistic sounds. SHOT 9: MCU, 35mm handheld / Girl steps back, compares the painting to the reference photo, nods, then jumps back into action. Zara patch visible. / SFX: footsteps. SHOT 10: Insert, 85mm macro / Detailed brushwork refines Messi's eyes, beard, and facial expression. / SFX: brush flicks. SHOT 11: MS, 35mm tracking / Rapid layering of highlights and shadows adds realism and depth. / SFX: rhythmic brush strokes. SHOT 12: ECU, 100mm macro / Tiny highlights are added to the eyes, bringing the portrait to life. / SFX: delicate strokes. SHOT 13: Overhead Timelapse / The artwork evolves into a polished, gallery-worthy portrait of Messi. / SFX: artistic montage. SHOT 14: MCU, 50mm / Girl signs the bottom corner of the painting with one confident brush stroke. / SFX: signature brush. SHOT 15: MS, 35mm reveal / She steps aside as the completed portrait of Lionel Messi fills the frame. Bright colors glow in the daylight. She folds her arms, smiles proudly, and nods toward the artwork. The Zara patch is clearly visible. / SFX: triumphant musical climax, music end.

Zara

35,999 görüntüleme • 2 ay önce

A black stallion. A baby-pink supercar. One frozen world. The goal was simple: make a car commercial feel like an epic wildlife documentary. Here's the result. GPT Image 2 + Seedance 2.0 on BudgetPixel AI prompt Create a 26-second cinematic luxury automotive commercial in a hyper-realistic Hollywood style. The video must strictly follow the 9 scenes below in exact chronological order. No scene may be skipped, shortened, rearranged, or merged. Smooth cinematic transitions between shots. No text overlays, no subtitles, no captions, no storyboard graphics, no watermarks. Visual Style: Ultra-realistic photography, premium automotive commercial, warm cinematic color grading, soft golden highlights mixed with cold snowy whites, high dynamic range, subtle film grain, dramatic atmospheric depth, realistic snow particles, shallow depth of field, luxury editorial cinematography. Setting: An endless snowy white plain stretching to the horizon beneath an overcast sky. Vast, minimalist environment with atmospheric haze and drifting snow. Main Subjects: Majestic black stallion with flowing mane and powerful physique. Matte baby-pink supercar with black carbon-fiber accents and yellow shield badge. Aspect Ratio: 16:9 Frame Rate: 24fps Quality: Ultra-realistic 8K SCENE 1 (0–3s) — THE LONE SPIRIT Wide aerial tracking shot. A majestic black stallion gallops across an endless white snowy landscape. Snow sprays behind every stride. The camera follows from above and slightly behind, emphasizing freedom, scale, and isolation. Wind moves the mane naturally. Vast horizon dominates the frame. Transition: Smooth cinematic cut. SCENE 2 (3–5s) — EMOTIONAL EYE Extreme close-up. The horse slows. Tight macro shot of its eye. Reflections of the snowy horizon shimmer in the pupil. A single tear slowly rolls down its face in slow motion. Visible breath in cold air. Emotional, poetic atmosphere. Transition: Match cut from the eye reflection to glossy vehicle surface. SCENE 3 (5–8s) — ICON REVEALED Hero reveal. A matte baby-pink supercar emerges through soft snowy haze. Low-angle cinematic hero shot. Camera slowly circles the vehicle, showcasing elegant curves, premium surfaces, and powerful stance. Snow drifts around the tires. Transition: Elegant detail cut. SCENE 4 (8–10s) — THE EMBLEM Macro detail sequence. Close-up of the yellow shield badge mounted on the baby-pink bodywork. Camera glides across sculpted panels and reflections. Ultra-detailed paint texture, premium craftsmanship, luxury product-shot aesthetic. Transition: Seamless movement into cockpit. SCENE 5 (10–12s) — MACHINE SOUL Interior luxury sequence. Camera moves through the cockpit. Steering wheel, dashboard, stitching, controls, and premium materials are highlighted. Soft ambient reflections sweep across the interior. Every detail feels engineered and refined. Transition: Fast cinematic cut to exterior. SCENE 6 (12–15s) — RIVALS UNITED First shared frame. The black stallion and baby-pink supercar stand side by side in the endless snow. Both face the horizon. Slow dolly movement around them. They appear equal in presence, strength, and elegance. Transition: Engine sound rises, horse shifts stance. SCENE 7 (15–21s) — FULL THROTTLE High-energy action sequence. The supercar launches forward. Tires spin, throwing snow into the air. The horse explodes into a gallop beside it. Dynamic tracking shots, side views, low-angle pursuit shots, aerial chase shots. Both race across the landscape as equals. Snow sprays dramatically. The supercar accelerates aggressively. Brief blue flames burst from the exhaust during gear shifts. Motion blur increases. Energy builds continuously toward the climax. Transition: Action slows into epic stillness. SCENE 8 (21–24s) — THE LEGEND Climactic hero moment. The horse stops and rises dramatically onto its hind legs. Massive snowy horizon behind it. Slow motion. Mane flows in the wind. Powerful silhouette against the bright landscape. The supercar rests nearby in the distance, partially visible. The camera slowly pushes inward, emphasizing majesty and symbolism. Transition: Gentle fade to black. SCENE 9 (24–26s) — LEGACY Complete black screen. Elegant white prancing horse emblem appears centered. Soft cinematic glow. Minimalist luxury finish. Hold for final beat before fade out. End of film. Important: Maintain strict scene order. No text anywhere on screen. No narration. No subtitles. No logos until the final scene. Consistent visual continuity between horse and vehicle throughout the entire commercial. Premium Hollywood luxury automotive advertising quality.
0:15

A black stallion. A baby-pink supercar. One frozen world. The goal was simple: make a car commercial feel like an epic wildlife documentary. Here's the result. GPT Image 2 + Seedance 2.0 on BudgetPixel AI prompt Create a 26-second cinematic luxury automotive commercial in a hyper-realistic Hollywood style. The video must strictly follow the 9 scenes below in exact chronological order. No scene may be skipped, shortened, rearranged, or merged. Smooth cinematic transitions between shots. No text overlays, no subtitles, no captions, no storyboard graphics, no watermarks. Visual Style: Ultra-realistic photography, premium automotive commercial, warm cinematic color grading, soft golden highlights mixed with cold snowy whites, high dynamic range, subtle film grain, dramatic atmospheric depth, realistic snow particles, shallow depth of field, luxury editorial cinematography. Setting: An endless snowy white plain stretching to the horizon beneath an overcast sky. Vast, minimalist environment with atmospheric haze and drifting snow. Main Subjects: Majestic black stallion with flowing mane and powerful physique. Matte baby-pink supercar with black carbon-fiber accents and yellow shield badge. Aspect Ratio: 16:9 Frame Rate: 24fps Quality: Ultra-realistic 8K SCENE 1 (0–3s) — THE LONE SPIRIT Wide aerial tracking shot. A majestic black stallion gallops across an endless white snowy landscape. Snow sprays behind every stride. The camera follows from above and slightly behind, emphasizing freedom, scale, and isolation. Wind moves the mane naturally. Vast horizon dominates the frame. Transition: Smooth cinematic cut. SCENE 2 (3–5s) — EMOTIONAL EYE Extreme close-up. The horse slows. Tight macro shot of its eye. Reflections of the snowy horizon shimmer in the pupil. A single tear slowly rolls down its face in slow motion. Visible breath in cold air. Emotional, poetic atmosphere. Transition: Match cut from the eye reflection to glossy vehicle surface. SCENE 3 (5–8s) — ICON REVEALED Hero reveal. A matte baby-pink supercar emerges through soft snowy haze. Low-angle cinematic hero shot. Camera slowly circles the vehicle, showcasing elegant curves, premium surfaces, and powerful stance. Snow drifts around the tires. Transition: Elegant detail cut. SCENE 4 (8–10s) — THE EMBLEM Macro detail sequence. Close-up of the yellow shield badge mounted on the baby-pink bodywork. Camera glides across sculpted panels and reflections. Ultra-detailed paint texture, premium craftsmanship, luxury product-shot aesthetic. Transition: Seamless movement into cockpit. SCENE 5 (10–12s) — MACHINE SOUL Interior luxury sequence. Camera moves through the cockpit. Steering wheel, dashboard, stitching, controls, and premium materials are highlighted. Soft ambient reflections sweep across the interior. Every detail feels engineered and refined. Transition: Fast cinematic cut to exterior. SCENE 6 (12–15s) — RIVALS UNITED First shared frame. The black stallion and baby-pink supercar stand side by side in the endless snow. Both face the horizon. Slow dolly movement around them. They appear equal in presence, strength, and elegance. Transition: Engine sound rises, horse shifts stance. SCENE 7 (15–21s) — FULL THROTTLE High-energy action sequence. The supercar launches forward. Tires spin, throwing snow into the air. The horse explodes into a gallop beside it. Dynamic tracking shots, side views, low-angle pursuit shots, aerial chase shots. Both race across the landscape as equals. Snow sprays dramatically. The supercar accelerates aggressively. Brief blue flames burst from the exhaust during gear shifts. Motion blur increases. Energy builds continuously toward the climax. Transition: Action slows into epic stillness. SCENE 8 (21–24s) — THE LEGEND Climactic hero moment. The horse stops and rises dramatically onto its hind legs. Massive snowy horizon behind it. Slow motion. Mane flows in the wind. Powerful silhouette against the bright landscape. The supercar rests nearby in the distance, partially visible. The camera slowly pushes inward, emphasizing majesty and symbolism. Transition: Gentle fade to black. SCENE 9 (24–26s) — LEGACY Complete black screen. Elegant white prancing horse emblem appears centered. Soft cinematic glow. Minimalist luxury finish. Hold for final beat before fade out. End of film. Important: Maintain strict scene order. No text anywhere on screen. No narration. No subtitles. No logos until the final scene. Consistent visual continuity between horse and vehicle throughout the entire commercial. Premium Hollywood luxury automotive advertising quality.

Sharon Riley

40,717 görüntüleme • 2 ay önce

Created with Gemini Nano Banana Pro Prompt: A breathtaking cinematic skydiving sequence begins inside a military-style helicopter flying at 15,000 feet above a sea of clouds during golden hour. The camera slowly moves through the helicopter cabin, revealing a fearless young woman skydiver wearing a sleek black wingsuit-inspired jumpsuit, professional parachute harness, tactical gloves, and aerodynamic goggles. Her long dark hair moves gently in the wind coming through the open side door. The helicopter's powerful rotor blades spin overhead, creating realistic motion blur and dynamic vibrations. Sunlight streams through the cabin, casting dramatic rays and cinematic shadows across her determined face. The camera captures an intense close-up of her eyes as she looks toward the endless horizon. As epic orchestral music builds, she steps to the edge of the helicopter. The camera switches to a dramatic low-angle shot showing the vast sky and breathtaking world below. In slow motion, she leaps into the open air. Time seems to freeze as she exits the aircraft, with tiny particles of dust and sunlight sparkling around her. The camera follows her from multiple cinematic angles: front-facing tracking shots, side-profile action shots, over-the-shoulder aerial perspectives, and wide drone-style views. Her body glides smoothly through the atmosphere as clouds rush past. Her hair flows dynamically in the wind while realistic fabric physics animate her suit and parachute straps. Below her lies an incredible landscape of towering mountain ranges, turquoise lakes, winding rivers, deep valleys, dense forests, and snow-capped peaks stretching endlessly to the horizon. Volumetric clouds cast moving shadows across the terrain. The sun creates golden highlights on the mountains and sparkling reflections on the water. The camera circles around her at high speed while she performs controlled aerial maneuvers and graceful spins. Tiny water droplets and cloud mist pass the lens, creating immersive realism. Lens flares, atmospheric haze, HDR lighting, and cinematic depth of field enhance the visual impact. As the music reaches its climax, she bursts through a layer of clouds into brilliant sunlight. The camera captures a stunning 360-degree orbit around her, revealing the entire world beneath. She smiles confidently while freefalling at high speed. Near the end, she reaches for the parachute cord. Time slows dramatically. A close-up shot shows her hand pulling the release handle. Instantly, the parachute deploys with a powerful burst of motion. The colorful canopy opens above her against a vivid blue sky. The final scene shows her peacefully gliding through the sky as the sun sets on the horizon, painting the clouds with orange, pink, and gold colors. The camera pulls back farther and farther until she becomes a tiny silhouette floating above the majestic landscape. Epic cinematic ending, ultra-realistic visuals, Hollywood blockbuster quality, National Geographic aerial cinematography, 8K HDR, hyper-realistic lighting, realistic wind simulation, volumetric clouds, smooth camera movements, masterpiece, viral social media quality.
0:10

Created with Gemini Nano Banana Pro Prompt: A breathtaking cinematic skydiving sequence begins inside a military-style helicopter flying at 15,000 feet above a sea of clouds during golden hour. The camera slowly moves through the helicopter cabin, revealing a fearless young woman skydiver wearing a sleek black wingsuit-inspired jumpsuit, professional parachute harness, tactical gloves, and aerodynamic goggles. Her long dark hair moves gently in the wind coming through the open side door. The helicopter's powerful rotor blades spin overhead, creating realistic motion blur and dynamic vibrations. Sunlight streams through the cabin, casting dramatic rays and cinematic shadows across her determined face. The camera captures an intense close-up of her eyes as she looks toward the endless horizon. As epic orchestral music builds, she steps to the edge of the helicopter. The camera switches to a dramatic low-angle shot showing the vast sky and breathtaking world below. In slow motion, she leaps into the open air. Time seems to freeze as she exits the aircraft, with tiny particles of dust and sunlight sparkling around her. The camera follows her from multiple cinematic angles: front-facing tracking shots, side-profile action shots, over-the-shoulder aerial perspectives, and wide drone-style views. Her body glides smoothly through the atmosphere as clouds rush past. Her hair flows dynamically in the wind while realistic fabric physics animate her suit and parachute straps. Below her lies an incredible landscape of towering mountain ranges, turquoise lakes, winding rivers, deep valleys, dense forests, and snow-capped peaks stretching endlessly to the horizon. Volumetric clouds cast moving shadows across the terrain. The sun creates golden highlights on the mountains and sparkling reflections on the water. The camera circles around her at high speed while she performs controlled aerial maneuvers and graceful spins. Tiny water droplets and cloud mist pass the lens, creating immersive realism. Lens flares, atmospheric haze, HDR lighting, and cinematic depth of field enhance the visual impact. As the music reaches its climax, she bursts through a layer of clouds into brilliant sunlight. The camera captures a stunning 360-degree orbit around her, revealing the entire world beneath. She smiles confidently while freefalling at high speed. Near the end, she reaches for the parachute cord. Time slows dramatically. A close-up shot shows her hand pulling the release handle. Instantly, the parachute deploys with a powerful burst of motion. The colorful canopy opens above her against a vivid blue sky. The final scene shows her peacefully gliding through the sky as the sun sets on the horizon, painting the clouds with orange, pink, and gold colors. The camera pulls back farther and farther until she becomes a tiny silhouette floating above the majestic landscape. Epic cinematic ending, ultra-realistic visuals, Hollywood blockbuster quality, National Geographic aerial cinematography, 8K HDR, hyper-realistic lighting, realistic wind simulation, volumetric clouds, smooth camera movements, masterpiece, viral social media quality.

Yashal Ai

17,581 görüntüleme • 2 ay önce

Made with Seedance 2.0 by Yapper Prompt: MASTER CINEMATIC PROMPT — ROOFTOP CHASE (INTENSE VERSION) SUBJECT: image1 Use the first image as the main subject. Maintain consistent face, body shape, hairstyle, clothing, and proportions throughout the entire video. Use the image2 as the primary storyboard reference. The second image strictly defines scene order, framing, and timing. Prioritize matching the second image over any creative interpretation. ⸻ FACE LOCK The face must remain sharp at all times. No blur, no distortion, no flickering. Expression progression: focused → tense → survival instinct → aggressive. ⸻ OUTFIT LOCK (STRICT) White undershirt (lightweight, slightly sweat-soaked, visible fabric texture, natural wrinkles) Red shorts (knee-length, soft fabric, natural folds, slightly loose fit) Barefoot (no footwear, visible natural foot movement and contact with surfaces) Rules: * Outfit must remain identical in all frames * No color change, no design change, no wardrobe switching * Clothing must stay consistent even when wet * Fabric reacts naturally to wind, movement, and water * Feet must remain barefoot at all times (no shoes appearing) ⸻ ENVIRONMENT Jakarta dense urban rooftop (corrugated metal roofs, rough concrete, tightly packed buildings) Golden hour lighting with strong backlight Hazy atmosphere with airborne dust particles Environment feels hot, dense, and visually chaotic ⸻ STYLE CORE Live-action, ultra-realistic, AAA cinematic quality High contrast, gritty, intense tone Natural motion blur (strong during fast movement) Heavy debris interaction and environmental destruction emphasis ⸻ CAMERA SYSTEM Handheld tracking, very close to the subject Micro-shake increases slightly on impact (controlled, not chaotic) Dynamic continuous movement following subject momentum Rule: Camera must feel physically present in the action No teleporting, no glitching Subject remains dominant in frame ⸻ TIMELINE (STRICT — HARD ACTION) 0.0 – 1.2s Wide rooftop view of Jakarta. Subject sprinting. A loud CRACK — bullet hits metal very close. Large sparks burst, slight camera shock reaction. ⸻ 1.2 – 2.5s Tight rear tracking shot. Heavy barefoot footsteps on metal roof (visible contact and impact). Bullet nearly hits the foot — debris flies toward camera. Clothesline hits his face; he forcefully pushes through without slowing. ⸻ 2.5 – 4.0s Fast slide under water tank. Bullet pierces the tank — heavy water burst crashes down. Clothing becomes wetter, sticks slightly to body. Camera partially passes through the water splash. He rolls hard and drops to a lower rooftop with impact weight. ⸻ 4.0 – 5.5s Running along a narrow ledge. Two rapid shots — concrete explodes beside his shoulder. Debris flies past camera. He nearly loses balance but recovers instantly. ⸻ 5.5 – 7.0s Full sprint into a large building gap jump. Slow motion mid-air. Bullet hits the edge behind him — fragments scatter in the air. Landing is unstable but controlled (barefoot impact visible). ⸻ 7.0 – 8.5s Grabs fire escape railing aggressively. Bullet slams into metal right beside his face — intense sparks. Camera swings with the momentum. He pulls himself up with force. ⸻ 8.5 – 9.5s Fast aggressive climb using windows and AC units. Bullet shatters glass right beside his head. Glass shards fall downward. Movement is fast, urgent, controlled panic. ⸻ 9.5 – 10.0s Reaches rooftop. Bullet hits near his feet. He pauses briefly, spots a hidden sniper suitcase under a water tank. Immediately sprints toward it. ⸻ PHYSICS & EFFECTS Bullet impacts create strong sparks, debris bursts, and visible force Water hits with weight and affects clothing behavior Barefoot contact interacts realistically with surfaces Camera reacts subtly to shock impacts Environment responds dynamically ⸻ CONSTRAINT No cuts No gore No additional scenes No timeline changes No mirrored movement No face distortion
0:10

Made with Seedance 2.0 by Yapper Prompt: MASTER CINEMATIC PROMPT — ROOFTOP CHASE (INTENSE VERSION) SUBJECT: image1 Use the first image as the main subject. Maintain consistent face, body shape, hairstyle, clothing, and proportions throughout the entire video. Use the image2 as the primary storyboard reference. The second image strictly defines scene order, framing, and timing. Prioritize matching the second image over any creative interpretation. ⸻ FACE LOCK The face must remain sharp at all times. No blur, no distortion, no flickering. Expression progression: focused → tense → survival instinct → aggressive. ⸻ OUTFIT LOCK (STRICT) White undershirt (lightweight, slightly sweat-soaked, visible fabric texture, natural wrinkles) Red shorts (knee-length, soft fabric, natural folds, slightly loose fit) Barefoot (no footwear, visible natural foot movement and contact with surfaces) Rules: * Outfit must remain identical in all frames * No color change, no design change, no wardrobe switching * Clothing must stay consistent even when wet * Fabric reacts naturally to wind, movement, and water * Feet must remain barefoot at all times (no shoes appearing) ⸻ ENVIRONMENT Jakarta dense urban rooftop (corrugated metal roofs, rough concrete, tightly packed buildings) Golden hour lighting with strong backlight Hazy atmosphere with airborne dust particles Environment feels hot, dense, and visually chaotic ⸻ STYLE CORE Live-action, ultra-realistic, AAA cinematic quality High contrast, gritty, intense tone Natural motion blur (strong during fast movement) Heavy debris interaction and environmental destruction emphasis ⸻ CAMERA SYSTEM Handheld tracking, very close to the subject Micro-shake increases slightly on impact (controlled, not chaotic) Dynamic continuous movement following subject momentum Rule: Camera must feel physically present in the action No teleporting, no glitching Subject remains dominant in frame ⸻ TIMELINE (STRICT — HARD ACTION) 0.0 – 1.2s Wide rooftop view of Jakarta. Subject sprinting. A loud CRACK — bullet hits metal very close. Large sparks burst, slight camera shock reaction. ⸻ 1.2 – 2.5s Tight rear tracking shot. Heavy barefoot footsteps on metal roof (visible contact and impact). Bullet nearly hits the foot — debris flies toward camera. Clothesline hits his face; he forcefully pushes through without slowing. ⸻ 2.5 – 4.0s Fast slide under water tank. Bullet pierces the tank — heavy water burst crashes down. Clothing becomes wetter, sticks slightly to body. Camera partially passes through the water splash. He rolls hard and drops to a lower rooftop with impact weight. ⸻ 4.0 – 5.5s Running along a narrow ledge. Two rapid shots — concrete explodes beside his shoulder. Debris flies past camera. He nearly loses balance but recovers instantly. ⸻ 5.5 – 7.0s Full sprint into a large building gap jump. Slow motion mid-air. Bullet hits the edge behind him — fragments scatter in the air. Landing is unstable but controlled (barefoot impact visible). ⸻ 7.0 – 8.5s Grabs fire escape railing aggressively. Bullet slams into metal right beside his face — intense sparks. Camera swings with the momentum. He pulls himself up with force. ⸻ 8.5 – 9.5s Fast aggressive climb using windows and AC units. Bullet shatters glass right beside his head. Glass shards fall downward. Movement is fast, urgent, controlled panic. ⸻ 9.5 – 10.0s Reaches rooftop. Bullet hits near his feet. He pauses briefly, spots a hidden sniper suitcase under a water tank. Immediately sprints toward it. ⸻ PHYSICS & EFFECTS Bullet impacts create strong sparks, debris bursts, and visible force Water hits with weight and affects clothing behavior Barefoot contact interacts realistically with surfaces Camera reacts subtly to shock impacts Environment responds dynamically ⸻ CONSTRAINT No cuts No gore No additional scenes No timeline changes No mirrored movement No face distortion

Zar⭕on

11,116 görüntüleme • 3 ay önce