Loading video...

Video Failed to Load

Go Home

Seedance 2.0 Parameter Based Prompts I've been experimenting with variable-based prompting in Seedance 2.0 and built a modular template for these bullet-time selfie sequences. The main video was made with a different prompt. I used it as a base to build this template. It won't always be perfect depending...

14,985 views • 5 months ago •via X (Twitter)

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

📖THE STEP MOST CREATORS SKIP IS WHY THEIR AI ANIMATION LOOKS INCONSISTENT Consistency across clips doesn't come from prompting — it comes from the reference image. The pipeline, step by step: ▪ Start with ChatGPT Image 2 — generate a full character design sheet first, not just a single frame. Multiple angles, expressions, and outfit variations in one image keeps the character consistent across every scene ▪ Build a storyboard inside ChatGPT Image 2 as well — define each shot, camera angle, action, and mood before touching Seedance at all. This is the step most people skip and it's the reason clips look disconnected ▪ Define a color palette and lighting mood early — golden afternoon light, soft warm tones, dramatic shadows. Lock those values and repeat them across every prompt ▪ Take each storyboard frame into Seedance 2.0 as the reference image — one frame becomes one clip ▪ Write the Seedance prompt around the character action, not the scene description. The scene is already in the image. The prompt handles motion, camera behavior, and timing ▪ Keep clip duration between 4-6 seconds per shot — shorter clips give more control over pacing and reduce motion drift on character faces ▪ Match camera movement type across consecutive clips — if one shot dollies in, the next should hold or pull back, not dolly again The consistency across these frames comes from the character design sheet, not from luck. Seedance reads the reference image and the prompt together — if the reference is detailed enough, the output stays on-model. This video was created by ALOKXMEHTA 📥 tomorrow: the exact ChatGPT Image 2 prompt structure used to generate a multi-angle character design sheet like this one 🔖One article covers the entire workflow — it is pinned below, do not scroll past it.

Zentrix⌚️

14,015 views • 2 months ago

POV: You came to vlog the matcc, and captured Arsenal’s goal live on camera. Would you survive this atmosphere? Comment your favorite football club below! Made with GPT Image 2 + Seedance on LovartAI Prompt: Create a 15-second ultra-realistic cinematic influencer vlog video. Use the same consistent character throughout all shots. Authentic iPhone 14 Pro TikTok vlog realism, handheld camera imperfections, front-camera selfies mixed with back-camera stadium footage, natural motion blur, autofocus breathing, slight rolling-shutter wobble, realistic HDR, and loud crowd audio distortion. 24 fps, 26 mm lens equivalent. Scene 1 (0–3s) — Stadium Intro Front-facing selfie outside Emirates Stadiumbefore kickoff. Fans stream behind her. She says: “Guys, I’m at Arsenal vs Burnley and the atmosphere is absolutely insane!” Scene 2 (3–6s) — In the Stands Selfie from her seat with the pitch glowing behind her. She says: “We’ve got such a good view. Arsenal look really sharp already!” Scene 3 (6–9s) — Match Action Back camera shows Arsenal F.C.attacking Burnley F.C.. She shouts: “Come on Arsenal… shoot! SHOOT!” Scene 4 (9–12s) — Goal Moment Back camera captures Arsenal scoring. She screams: “GOAL! Oh my God, I got it!” Scene 5 (12–15s) — Celebration Selfie Front-facing selfie as she jumps and laughs with celebrating fans behind her. She says: “I actually caught the goal on camera! Best moment ever! Come on Arsenal!” Final Tone: Raw, emotional, high-energy football vlog with authentic stadium atmosphere and a euphoric goal reaction. #Lovart, #LovartPartner

Shami

29,564 views • 3 months ago

This week is already so hot. 🔥 Massive release from Decart : Lucy 2.0 a World Editing Model running at 1080p, 30FPS in realtime. This is truly exciting, the era of real-time generative reality is here. We are moving from watching AI video to living inside AI video. A breakthrough model capable of transforming the visual world in real-time. Moving beyond offline rendering, Lucy 2.0 delivers high-fidelity 1080p video generation with near-zero latency. Lucy 2.0 literally "redraws" the entire world pixel-by-pixel, while you are watching it. e.g. If you want to be an anime character, it doesn't just put a mask on you. It turns your skin into anime skin, your hair into anime hair, and the lighting in your room into anime lighting. Lucy 2.0 is also trained to stop the generated video from slowly falling apart over time, so the same stream can run much longer without faces and details drifting. So why is this a "Massive Deal"? Traditional AI video-generation model takes a prompt, you wait 10–20 minutes, and the computer "bakes" a video for you. You couldn't touch it or change it while it was happening. But Lucy 2.0 works like a mirror. It happens in real-time (30 frames per second). There is no waiting. You move your hand, the AI character moves its hand instantly. The craziest part isn't the visuals; it's the physics. Usually, AI hallucinations are glitchy—hands merge into faces, walls melt. Lucy 2.0 understands how the world works without being told. It knows that if you take off a helmet, there is hair underneath. It knows that if you splash water, droplets fly. It learned "physics" just by watching millions of videos. The physical behavior you see emerges from learned visual dynamics, not from engineered geometry or explicit physics engines. Their official technical report explicitly states that the model does not use traditional 3D engines, depth maps, or wireframes. It is a "pure diffusion model."

Rohan Paul

12,761 views • 7 months ago

GPT-Image-2 + Seedance 2.0目前已成AI视频标配 甚至可以根据给定图片推导过去和未来,制作storyboard,然后生成视频 使用方法: 1️⃣ 随便找一张图 2️⃣ 给以下提示词,然后制作storyboard 用以下提示词👇: Create a 3×3 cinematic storyboard grid based on the uploaded reference image. Use the uploaded image as the central moment of the story: Frame 5 must represent the exact “t” moment, matching the subject, scene, mood, composition, costume, environment, lighting style, and emotional tone of the reference image. The storyboard must show what happened before and after this moment as a time-based visual timeline. FRAME STRUCTURE: Frame 1: t-30: Establishing shot, the wider environment before the main event begins. Frame 2: t-10: The subject approaches or prepares for the key moment. Frame 3: t-5: Tension builds, body language and atmosphere lead toward the reference image. Frame 4: t-1: Final instant before the reference image, close emotional or action transition. Frame 5: t: Recreate the uploaded reference image as the central key frame. Frame 6: t+1: Immediate reaction or continuation right after the key moment. Frame 7: t+5: Alternate angle showing the consequence of the moment. Frame 8: t+15: Candid transition frame, natural movement, emotional aftermath. Frame 9: t+30: Strong final cinematic frame that clearly resolves the scene. STYLE: Ultra-realistic cinematic storyboard, 3×3 grid layout, cohesive visual tone across all frames, consistent character identity, consistent costume, consistent environment, cinematic lighting, shallow depth of field, realistic camera angles, natural motion continuity, no text labels, no numbers, no arrows, no captions inside the image. 3️⃣ seedance2.0 一键成片

Jason Zhu

34,160 views • 4 months ago

What would you do if a monster charged at you in the middle of the street? Made with Nano Banana 2 + Seedance 2.0 4k on TapNow prompt Beat 1 - The Calm Opening The reference image character is a Western woman with long wavy blonde hair casually drinking a Coke in the middle of a chaotic urban street. Her outfit and cap match Image 1 exactly. Energy is calm, unfazed, and confident. Camera: grounded, cinematic, medium shot. Beat 2 - The Monster Charges A terrifying monster bull charges toward her at full speed. It smashes through debris and scatters people in panic. The street erupts into chaos around the character. Camera: dynamic tracking, wide angle to capture scale of monster and chaos. Beat 3 - The Transformation The young woman stays calm and completely unfazed. She lowers the Coke. She raises one hand. Her arm begins transforming into solid ice from the fingertips upward. Frost spreads across her skin, glowing with cold blue-white energy. Vapor rolls off the arm as the ice transformation builds. Camera: close-up on the arm transformation, slow and deliberate. Beat 4 - The Touch - Slow Motion As the monster lunges, she calmly reaches forward. She touches the monster with her frozen hand. DRAMATIC SLOW MOTION at the moment of contact. Ice rapidly spreads from the point of contact across the monster's body. The monster panics - thrashing and roaring as frost crawls over its claws, chest, face, and eyes. The monster's movement slows as the freezing effect takes over. Camera: extreme close-up on contact point, then pulls out to reveal the spreading ice. Beat 5 - Full Freeze The creature becomes completely encased in crystal-clear ice, frozen mid-attack. A tense pause holds on the frozen monster. Deep cracks spread through the frozen monster. Cracks split across its icy body with sharp crystalline sounds. Detailed cracking ice - realistic frost and crystal texture throughout. Camera: wide shot of the frozen monster, locked and still for the pause beat. Beat 6 - The Walk-Off The young woman casually takes another sip of Coke. She turns away without looking back. She walks off calmly as the frozen monster cracks behind her. Confident calm hero energy. No celebration. No reaction. Just casual. Camera: low angle tracking shot as she walks away, monster in background. Visual Effects Realistic ice transformation - frost spreading from fingertips upward. Frost vapor rolling off the arm during transformation. Cold blue-white glowing energy across frozen skin. Ice rapidly spreading across monster body from point of contact. Detailed cracking ice with sharp crystalline fracture lines. Crystal-clear ice encasing the entire monster mid-attack. Realistic freeze physics - movement slowing as ice covers the creature. Camera Style Dynamic cinematic camera movement throughout. High-action monster attack framing during the charge. Dramatic slow motion at the exact moment of hand contact. Close-up on ice transformation - fingertips to shoulder. Pull-back reveal as ice spreads across the monster's full body. Low angle walk-off shot to close the scene. One continuous take. No cuts. Camera never stops. Character appearance: a beautiful Western woman with long wavy blonde hair flowing naturally beneath the cap, maintaining the same calm, confident, and unfazed presence throughout the entire sequence.

Sharon Riley

58,578 views • 2 months ago

Would you underestimate her just because she wears a school uniform? GPT Image 2 + Seedance 2.0 on Sjolt Try Canvas: prompt Character Identity Lock (Highest Priority): Use the exact same young East Asian woman from the provided reference character sheet. Preserve 100% identical facial features, face shape, eye shape, nose, lips, skin tone, hairstyle, hair color, proportions, and overall identity throughout the entire video. Do not redesign, reinterpret, or substitute the character. She must remain instantly recognizable as the same person from the reference image. She has shoulder-length wavy silver-gray hair with subtle blue undertones, bright expressive eyes, fair skin, and a confident slight smile that naturally transitions into a focused, determined combat expression. She wears the identical navy blue Korean high school uniform blazer over a gray sweater vest, white collared shirt, striped tie, and matching school skirt from the reference character sheet. Video Prompt: A cinematic, hyper-realistic action sequence inside a chaotic South Korean high school classroom. The classroom is filled with overturned desks, scattered chairs, flying notebooks, broken pencils, and papers drifting through the air. Bright natural daylight streams through large classroom windows, creating realistic highlights, soft shadows, and cinematic contrast. The young female student moves with incredible speed, confidence, and precision as she expertly defends herself against multiple aggressive male students wearing matching Korean school uniforms. Every movement is fluid, athletic, and grounded in realistic martial arts choreography. The camera remains highly dynamic, featuring cinematic handheld tracking shots, fast push-ins, orbit shots, dramatic slow-motion moments, whip pans, low-angle hero shots, and close-up impact shots. Capture rapid combinations of punches, clean high kicks, evasive footwork, parries, elbow strikes, blocks, and throws. Desks slide across the floor, chairs topple over, and dust particles catch the sunlight, emphasizing the intensity of the action. Maintain a high shutter-speed action-photography aesthetic with crisp motion detail, subtle motion blur only during extremely fast movements, physically accurate body mechanics, realistic cloth simulation, natural hair physics, authentic facial expressions, and believable impact reactions. Keep the camera frequently returning to sharp close-ups of her face to reinforce character continuity and emotional intensity. Her silver-gray hair flows naturally with every movement while her determined eyes remain locked on her opponents. Photorealistic cinematic quality, 4K HDR, ultra-detailed skin textures, realistic lighting, volumetric daylight, physically based rendering, shallow depth of field during close-ups, blockbuster Korean action film aesthetic, empowering heroine energy, consistent facial identity throughout every frame, no face drift, no character variation, no animation-style exaggeration.

Sharon Riley

26,184 views • 1 month ago

The architecture of this new world model is one of the most interesting things I've seen lately: Let me first explain how most world models work: They predict and render one frame at a time. If you are navigating in one of these worlds, and you look left, the model draws whatever looks right in the moment. Every time you change your viewpoint, the model has to imagine what should be there again, so it's very common for these models to "forget" what's in the world. For example, if you put a toy on the table, look away, then look back, the toy might not be there anymore. Tripo AI is releasing its Project Eden model, which works very differently: The model builds the world first, and then renders it based on that map. That map holds the real state of the world: the geometry, every object, where things are, what's already happened. The picture you see on screen gets generated from the map. This architecture flips the whole thing. Now, you get the following: 1. The world stops forgetting. Leave, come back, and the toy is still on the table because it lives in the map, not in the last frame you saw. 2. You can edit the world, and those changes persist for anyone who enters later. 3. Multiple people and AI agents can coexist in the world and see it from different perspectives. This is early research, but it's looking really promising. They just raised nearly $200M across two rounds to build it out. Tripo will be at SIGGRAPH 2026 (July 19–23, Los Angeles Convention Center). If you work in 3D, embodied AI, simulation, or anything spatial, go connect with them there.

Santiago

30,244 views • 2 months ago

THE CLIMAX EVERYONE REMEMBERS IS BUILT FROM THE SECOND WHERE NOTHING HAPPENS A ronin. An army. One continuous shot. The frame most people miss is the one that makes everything land: a beat of pure black right before the explosion. Here’s what that sequence actually teaches: 1. Contrast is something you spend, not a setting you turn on. Stay bright the whole time and you’ve got nowhere left to go when it counts. Hold the darkness long enough and a single bright frame feels blinding. 2. One accent color in a monochrome world hits harder than a full palette. Charcoal, ash, pewter… and exactly one slash of violet neon. Your eye goes straight to it every time. Add a second accent and you halve the power of both. 3. The blackout isn’t just a transition — it’s the turning point. Everything before it is descent. Everything after is release. The structure is disguised as lighting. 4. Flat, faceless enemies aren’t lazy. They’re deliberate hierarchy. Identical grey soldiers and helmets make the ronin pop. Give them personality and you split the audience’s attention for nothing. 5. One continuous shot forces every decision to matter. No cuts to hide behind. Framing, movement, and light have to carry the whole thing — and that’s exactly why it holds up. 6. Quiet frames buy the loud ones. There’s a moment with zero neon — just black and white, hair streaming across the frame like spilled ink. It gives you nothing… which is why the next frame hits so hard. 7. End by taking the light away. Katana lowered, tip toward the ground, no glow left on the steel. The brightest thing in the entire piece disappears. That’s what makes it feel like an ending instead of just a stop. Why this matters: Most people build climaxes by adding more — more light, more motion, more color. This one does it by subtracting first. A dead beat costs nothing and pays off everything that follows. Restraint reads as confidence. Overloading reads as insecurity. Audiences feel it before they can explain it. You don’t need a bigger budget or a better model. You just need the discipline to hold back. The real lesson isn’t “make it dark.” It’s that impact is relative. You can’t have a true peak without spending time in the valley first — and most creators rush straight to the peak, then wonder why nothing lands. This version keeps all your original insights, tightens the flow, and sounds like a thoughtful filmmaker or editor sharing something they noticed — not like generated content. Ready to post.

Nexlow

12,756 views • 1 month ago

Sora 2 + n8n is absolutely insane 🤯 This n8n automation generates entire UGC campaigns with the same AI creator across unlimited videos. All from one Airtable form. Perfect for DTC brands & agencies who need brand consistency in their AI ads without hiring real creators. Why this matters: Every AI video tool gives you a random person each time. You can't build multi-video campaigns because your "creator" changes in every clip. Sora 2 consistent characters solves this: Same AI creator → Different scenes → Unlimited videos The n8n workflow: → Fill out Airtable form once (select your character, describe scenes, choose quantity) → Claude AI generates professional Sora 2 prompts automatically → Sora 2 renders videos with your consistent character → Videos auto-upload to ImageKit CDN → Everything tracked in Airtable with shareable URLs No manual prompting. No file management. No different people in every video. What you can create: → 3-part testimonial series with the same person → Before/during/after transformation campaigns → Product tutorial sequences that feel cohesive → Entire ad creative libraries with your "brand ambassador" Track everything in Airtable: → Video status (queued → generating → complete) → Shareable URLs for each clip → Scene descriptions and prompts → Production-ready in 5-10 minutes Built 100% in n8n + Airtable. Want the complete template? > Comment "SORA" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

19,044 views • 10 months ago

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 views • 4 months ago

I FOUND AN ACCOUNT THAT POSTS MIRROR SELFIE VIDEOS IN A SILVER BIKINI. 700K FOLLOWERS. 84 VIDEOS. SHE NEVER SHOWS HER FULL FACE. I FIGURED OUT WHY. Thread. Silver metallic bikini. Heart necklace. Ponytail with a green scrunchie. She stands in front of a bedroom mirror holding a purple iPhone and films herself. Shifts her weight. Touches her strap. Runs her hand along her waist. Twelve seconds. The phone covers half her face the entire time. I watched 84 of her videos. In every single one she is holding the phone in front of her face. Sometimes it covers the left eye. Sometimes the right. Sometimes everything above the lips. Not once in 84 videos does she put the phone down. That is not a style choice. That is a render limitation. The phone hides the one place AI breaks down. Eyes that drift. A nose bridge that warps between frames. A jawline that shifts when the head turns. The operator figured out that a mirror selfie format lets the phone do the masking for free. The viewer does not question it because every girl on Instagram holds her phone the same way. The room is the second tell. White bed. Grey door. Floating shelf with dried flowers. A glass on the nightstand. Scroll through her page. It is the same room in every video. Not similar. The same door. The same shelf. The same flowers in the same position. Not one pillow has moved in 84 posts. A real person shifts a pillow, changes the sheets, moves a glass. This room has never been lived in because it was generated once and rendered 84 times. The metallic bikini is doing the work the see-through top did in the Rome clip and the lace dress did at the 7-Eleven. Reflective fabric catches light differently with every movement. It gives the viewer a reason to watch twelve seconds of someone standing still. The silver surface shifts from dark to bright as she turns and the eye tracks the reflection instead of scanning for AI artifacts. The bikini is not the content. It is the distraction. The scrunchie is the detail that sells the illusion. Neon green. Cheap. The kind you buy in a pack of ten. Nobody prompting an AI bikini model thinks to add a $2 scrunchie. But that scrunchie is what makes the viewer think "this is a real girl who just got out of the shower and grabbed what was next to the sink." One prop worth nothing is doing more trust-building than the entire room. The navel does not move. In twelve seconds of shifting weight, turning hips, adjusting straps, her belly button stays in exactly the same position relative to her waistline. A real torso contracts, twists, stretches. Skin moves around the navel when the body moves. This one is painted on. That is the tell the phone is meant to keep you from noticing. She is still posting. Same room. Same mirror. Same phone covering the same face. 700K followers who have never seen her eyes at the same time. The bikini changes. The scrunchie changes. The face behind the phone does not exist. That mirror has never reflected anyone.

framexin

20,686 views • 13 days ago

john wick seedance text to video prompt: [STYLE / CINEMATIC SETUP] A 10.5-second, 16:9 photorealistic AAA action-game cinematic rendered at real-time speed with no slow motion. The setting is a cramped, cluttered late-night Asian restaurant connected to a rain-soaked street. Cyan-green fluorescent light, red neon and warm practical lamps create a high-contrast mixed-light environment, with reflections across wet floors and pavement. Shoot with a 35mm spherical lens, shallow-to-moderate depth of field and cinematic motion blur appropriate to the actual speed of movement. Use close shoulder-mounted and handheld coverage, connecting seven short close-combat shots with fast hard cuts. The camera instinctively pans, retreats or drops with each block, takedown and collision while keeping the action and contact points readable. No dialogue, no subtitles and no BGM. Generate only synchronized rain, appliance hum, urgent footsteps, fabric movement, body impacts, gunshots, metal contact and breaking glass. [IMAGE REFERENCES] No external still-image reference. Follow the written character and environment descriptions consistently. If the platform supports reference video, use the supplied video only as a reference for editing rhythm, camera distance, action direction and lighting atmosphere, not for copying a specific actor’s identity. The protagonist remains the same lean, agile man in his early forties throughout the sequence: neck-length black hair swept back, a short beard, a tired but focused face, a slightly wrinkled black suit, white shirt and narrow black tie, all carrying faint rain and wear marks. Preserve his face, hairstyle, body proportions, clothing and screen direction across all seven shots. Keep every opponent visually distinct: a man in a blue work uniform, a bald man in a navy jacket, a heavy man in a black jacket, a bald counter attacker, a red-headband attacker, a red-jacketed armed attacker and a heavy man in a dark green coat outside. [TIMELINE SECOND BY SECOND] 0–1.9s: [Shoulder-height medium close-up, tight lateral handheld tracking, real-time speed] The protagonist stands on screen left, pinning the blue-uniformed attacker against a glass refrigerator with his left forearm and palm. He delivers two compact, weighted elbow and palm-heel strikes. Each impact drives the attacker’s head into the refrigerator door, loosening his white headband and leaving a small blood trace on the glass; the attacker finishes sliding down the door while the protagonist remains standing. 1.9–4.3s: [Medium shot transitioning into a high-angle overhead, shoulder-mounted drop, real-time speed] Hard cut near the restaurant’s rear entrance. The bald attacker in a navy jacket locks the protagonist from behind. The protagonist lowers his center of gravity, traps the attacker’s arm and rotates his hips, throwing him heavily over the shoulder onto the wet floor. The camera drops with them into an overhead view. Kneeling across the attacker’s torso, the protagonist draws a compact black pistol and fires one downward shot; recoil travels through his wrist and the attacker jolts once before becoming still. 4.3–5.9s: [Tight medium shot, lateral handheld follow, real-time speed] Hard cut with both men already upright. A heavy attacker in a black jacket swings from screen right. The protagonist slips outside the punch, allowing it to pass close to his face, circles behind the attacker and locks his shoulder and neck off balance. He presses the pistol close to the side of the attacker’s head and fires. The muzzle flash briefly illuminates both faces; the attacker’s head and shoulders snap backward and his body begins to collapse. 5.9–7.9s: [Counter-height medium close-up, subtle handheld push-in, real-time speed] Hard cut to the restaurant counter. Another bald attacker bends forward and clamps around the protagonist’s waist. The protagonist pins the attacker’s head and neck under his left arm while grabbing a short, rigid pointed utensil from the counter. He drives two compact downward thrusts into the upper shoulder and side of the neck. Each contact bends the attacker’s knees further; a restrained amount of blood marks the shirt and counter edge before the attacker hangs helplessly beneath the protagonist’s controlling arm. 7.9–9.0s: [Two-person medium close-up, fast pan with a short retreat, real-time speed] Hard cut as the red-headband attacker rushes into close range. He throws a wide hook from screen right. The protagonist raises his forearm to block, catches the wrist and pulls it outward, then drives a palm heel and forearm into the attacker’s face. The camera retreats with the impact as the attacker loses his balance and staggers toward the rear right of the frame. 9.0–9.9s: [Low-angle wide shot, slight arc around the action, real-time speed] Hard cut to a wider section of the restaurant. The red-jacketed armed attacker advances from screen left. Holding a long black firearm with both hands, the protagonist uses it as a blunt weapon and swings horizontally from right to left. The weapon strikes the attacker’s upper chest and shoulder, rotating his torso, crossing his feet and sending him off balance toward screen left. 9.9–10.5s: [Exterior rainy-street medium shot, fast parallel tracking, real-time speed] Hard cut outside the restaurant. The protagonist already controls a heavy attacker in a dark green coat and uses his forward momentum to drive the man’s head and upper body into the side window of a parked black station wagon. The glass bursts inward at the contact point, scattering both large and fine fragments. The attacker folds through the broken window while the protagonist regains stable footing beside the car, ending with glass fragments still falling. [STYLE & QUALITY BOOSTERS] Maintain the protagonist’s face, black suit, white shirt, tie, hairstyle and body proportions through every hard cut. The pistol, pointed utensil, injuries and blood marks must appear only in their designated shots and must never morph or change ownership. Throws, recoil, strike reactions, loss of balance and window breakage must show believable weight, inertia and precise contact. Apply motion blur only to rapidly moving arms, weapons, glass fragments and camera-relative backgrounds. No sudden face or costume changes; no extra fingers, fused limbs or inverted joints; no morphing weapons, utensils or vehicles; no foot sliding or rubber-like collision reactions; no blood, bullet damage or glass fragments appearing before physical contact.

underwood

12,588 views • 1 month ago

Coffee thoughts - I’m not sure Candace is coming back. “I want to thank Baron for telling me it was time to do this”. “Thank you to everyone that’s been on this journey it’s been a heavy one.” “Today went a lot different than I thought it was going to be” Just for the record the court filing I posted last night was to get more time to respond and to go from 25 pages to 35 pages on why the court case with Harpole should be dismissed for “Failure to state a claim”. She’s trying to get it dismissed before it goes to discovery. Put the paperwork in AI it will give you the specifics. We all knew it was coming. The money it takes to fight these suits is insane. She’d be stupid to not try to get it dismissed. And Tennessee has more laws protecting public figures so it would be easier to get dismissed than in Delaware (that doesn’t) with the Macrons. I still think more happened yesterday. And the way she was acting just gives me this maybe it for a bit. Maybe I’m wrong but I knew yesterday something was up. Her video seemed more directed at making her last claims on everyone than continuing the attack. There was nothing there for an emergency video. She’s heavily pregnant, she’s run out of material, she’s being sued and the cases are coming up, she has 4 kids about to be 5 and you can only attack people so long with the same accusations. The trial is coming up that will disprove the conspiracies. Or maybe she just wanted one last show until she gets back. I still question if maybe another lawsuit dropped. We shall see. Off to vacation myself. Apparently we are going to Spain. (Joking).

Raven Grace Op #22 of 92 🐦‍⬛✝️🍿🇺🇸

24,207 views • 2 months ago