✨ Animated lock screen artwork working with `MPMediaItemAnimatedArtwork` 💡... key insight - video aspect ratios must match exactly, otherwise "Incorrect video aspect ratio" errors #WWDC25show more

CREATE WITH GPT IMAGE 2 PROMPT: Create a vertical... storyboard sheet in a 9:16 aspect ratio for a 10-second TikTok/Shopee Affiliate product advertisement video, consisting of exactly 5 different scenes, with each scene lasting approximately 2 seconds. Use the product from the reference photo as the main product. Keep the product 100% identical to the reference photo, including its shape, color, size, material, texture, pattern, logo, packaging, and all other important details.show more

🆕 Need for Speed: ProStreet — Fusion Fix updated!... ProStreet has bugs, and here is a fix. 🔗 Download: • 🔧 Fixes: • Corrected aspect ratio for all elements, including ultrawide • HUD repositioned & scaled with optional constraints, configurable UI scale & auto-fit • Xbox 360 or mathematically correct hor+ FOV • FMVs fullscreen with crop/stretch, auto-fit for narrower ratios • Brake lights now work properly — no longer tied to ABS activation • Fixed wrong brightness on launch • Fixed alpha blending for xenon sparks • Fixed post-race screen getting stuck on Continue 🛡️ Stability & compatibility: • TrackStreamer crash fix — memory checks during track streaming • FE Script crash fix — memory checks for FE::Object::SetScript • Damage memory leak fix — stable during long play sessions • Disabled unused PC achievement system & PunkBuster for improved stability ✨ New options: • Skip intro, borderless/bordered/resizable/borderless fullscreen windowed mode • Unlocked frame rate with configurable sim rate — sync to monitor or 2× • Resolution auto-detection for video options menu • Configurable analog deadzones, custom save directory, registry-free settings • Shadow resolution, motion blur toggle, Xbox 360 gamma, force FE aspect ratio mode 🎥 Free-look camera with full mouse & stick support.show more

🆕 Need for Speed: Undercover - Fusion Fix updated!... 🔗 Download: • 🔧 Fixes: • All resolutions available in video options • HUD repositioned and scaled to match any aspect ratio ✨ New options: • Skip intro, borderless/bordered/resizable/borderless fullscreen windowed mode • Configurable sim rate - sync to monitor or 2× • Xbox, PlayStation, or text-only gamepad labels with fixed bindings • Configurable analog deadzones • Custom save directory and registry-free settings (saves to settings.ini instead of registry) • Shadow resolution up to 16384 (default 8192) • Cascade shadow map scale with configurable per-cascade draw distances (near/mid/far) • Adjustable bloom intensity • Motion blur toggle - disable without affecting World FX • Improved scenery LOD in the closest map section • Disable preculler and force bruteforce culling to reduce popping • Xbox 360 gamma curve 🎥 Free-look camera - mouse & right stick, full configurability for sensitivity, timeout, return speed, and axis inversion.show more

I just built a skill that lets Claude Code... watch & analyze ANY video 🤯 Drop in any video file — UGC ads, competitor Meta ads, organic TikToks, screen recordings — and Claude hands you back a full creative teardown. All inside Claude Code. Perfect for media buyers and creative strategists who reverse-engineer competitor ads every week — and lose half a day doing it by hand. If your creative process starts with studying what's already working, you're scrubbing through competitor ads frame by frame, pausing to write down every hook, screenshotting the on-screen text, and by the tenth video you can't remember what made the first one land... This skill solves it: → Drop any video file into Claude Code → Skill routes it through the Gemini API for native video understanding → Returns a full creative teardown — hook breakdown, target audience, angle, beat-by-beat, on-screen text verbatim → Surfaces the steal-worthy patterns you can apply to your own creative → Same skill works on UGC ads, produced video ads, organic TikToks, and Loom recordings No manual scrubbing. No pausing every 5 seconds. No $200/mo ad intelligence platform. What you get: → Native video understanding via Gemini (not just transcripts) → Structured analysis — hook, angle, audience, pain point, CTA → Verbatim on-screen text and dialogue with timestamps → Hook variations generated directly from competitor ads → About 27 cents per 30-minute video Built 100% in Claude Code with the Gemini API. I recorded a full breakdown showing exactly how I built this, and I'm giving away the skill for free. Want the skill? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)show more

Claude Code can now watch & analyze ANY video... 🤯 I built a skill that gives Claude the ability to watch any video file you drop in — UGC ads, competitor Meta ads, organic TikToks, screen recordings, anything. All inside Claude Code. Perfect for DTC brands and agencies who study competitor creative every week to figure out what's working and what to test next. Here's the problem: If you're studying competitor ads on Meta or hooks on TikTok, you're scrubbing through videos manually, pausing to write down hooks, screenshotting on-screen text, and trying to remember what made the ad land by the time you've watched 10 of them. This skill solves it: → Drop any video file into Claude Code → Skill routes it through the Gemini API for native video understanding → Returns a full creative teardown — hook breakdown, target audience, angle, beat-by-beat, on-screen text verbatim → Surfaces the steal-worthy patterns you can apply to your own creative → Same skill works on UGC ads, produced video ads, organic TikToks, and Loom recordings No manual scrubbing. No pausing every 5 seconds. No $200/mo ad intelligence platform. What you get: - Native video understanding via Gemini (not just transcripts) - Structured analysis — hook, angle, audience, pain point, CTA - Verbatim on-screen text and dialogue with timestamps - Hook variations generated directly from competitor ads - About 27 cents per 30-minute video Built 100% in Claude Code with the Gemini API. I recorded a full breakdown showing exactly how I built this and I'm giving away the skill for free. Want the skill? > Comment "CLAUDE" + > Like this post And I'll send it over (must be following so I can DM)show more

Created with GPT image 2 + Kling 3.0 on... OpenArt Prompt: Ultra-realistic football broadcast screenshot — slightly soft and naturally compressed quality, as if captured directly from a live TV feed during an Argentina national football team match. The uploaded person is sitting naturally among the crowd, casually watching the game and not looking directly at the camera. Fans are seated closely around her, creating an authentic stadium atmosphere. A realistic live sports broadcast overlay is visible, with Argentina football broadcast-style scoreboard and graphics in the top corners. This must feel like a genuine frame grab from a live football broadcast itself — NOT a photo of a screen, NOT a model shoot, NOT influencer photography, NOT beauty photography. Natural candid posture, subtle facial asymmetry, realistic skin texture, flyaway hair, slight motion blur, visible compression artifacts, interlaced live TV quality, soft zoom-lens focus, uneven stadium lighting, and authentic crowd energy. The person is wearing a casual Argentina national team jersey in sky blue and white, sitting comfortably while reacting to the match, with scarves, drinks, or cheering items nearby. South American football broadcast aesthetic, accidental crowd-cam moment, realistic sports production frame. NO enlarged eyes. Aspect Ratio 4:3. Negative prompt: garbled text, unreadable letters, distorted typography, messy subtitles, broken words, misspelled words. Video Prompt: Use the attached photo as the exact facial reference. Create an ultra realistic 16:9 Argentina football broadcast crowd shot during a summer evening match at Camp Nou. Preserve the original face and hairstyle naturally without over-editing. Wide shot from an eye-level spectator perspective using a super telephoto broadcast zoom lens and then zoom in on her face . The person is sitting comfortably, naturally watching the match.show more

Pls help RT 🎂🎉 TIAN XUNING 28TH BIRTHDAY PROJECT... - by TIAN XUNING INTERNATIONAL The project is in collaboration with Chinese 🍋 Title: "SEND LOVE TO TIAN XUNING" "Happy Birthday Tian Xuning, " 📌 HOW TO PARTICIPATE Step 1: Lemonade can record a video or write a handwritten letter to send birthday wishes to Tian Xuning 👉 If you are shy to show your face you can use facemask or use stickers/emoji to cover your face or you can record audio and edit it to the video, or write a handwritten letter. 👉 Handwritten letters must be in ENGLISH. Step 2: Send the video/handwritten letter via email: [email protected], [email protected] Subject of the email must be: Name/Country/Type of greetings (video or written) 📌 CONTENT AND HOW TO DO IT 1️⃣ For video or audio recording * ⏰ Duration: 15 seconds * 📀 Aspect ratio: 16:9 * Opening words: “田栩宁生日快乐” /Tiánxǔníng shēngrì kuàilè / or “Happy birthday, Tian Xuning” * Short introduction: “I am Lemonade from the Philippines” * The remaining content: your heartfelt birthday message and your wish for him, or any massage you want to convey, just make sure it fits the 15sec requirement. 2️⃣ For handwritten letters (will compile this into 1 video) * Write concisely on 1 page * Take a clear photo and send, MAKE SURE TO INDICATE Something that can represent your country when you take a photo of your handwritten letters. 🗓 Deadline: September 10, 2025 (strictly) Let's create a very special and meaningful birthday gift together, so that Tian Lei summer will be brilliant once again! 💛🎉 DM or comment for questions. #田栩宁 #TianXuNing #逆爱 #RevengedLove #TianXuning田栩宁International ⚡️show more

Messi thought he had this match under control... then... Yamal changed everything. Video for VivaReel prompt Create a fun, dynamic stop-motion style animated video in vibrant Lego bricks and minifigures aesthetic. The entire scene uses colorful plastic Lego construction with visible studs, bricks, plates, and minifigure details. All characters are Lego minifigures with classic yellow skin (or skin tones), printed faces, and detailed soccer uniforms made from Lego pieces. The environments are fully built from Lego: layered brick landscapes, trees, flowers, stadiums, mountains, and buildings with perfect Lego texture and lighting. The video tells a short humorous story , it shows a connected previous or parallel moment, Smooth transitions between scenes every ~1 second. Maintain consistent Lego papercraft diorama look but fully realized in 3D Lego bricks. Sequence: 1.⁠ ⁠Lamine Yamal Lego minifigure (red/blue Spain jersey #19, curly black hair) juggling and kicking a black/white Lego soccer ball on a winding Lego path through green fields, trees, flowers, and a distant stadium under a blue sky with sun and clouds. 2.⁠ ⁠Transition to Lionel Messi Lego minifigure (Argentina striped jersey #10, beard, tattoos) standing confidently with foot on ball in front of Lego Buenos Aires scenery (pink Casa Rosada, obelisk, mountains, Argentine flag). 3.⁠ ⁠Messi looks sad/frustrated, sitting on grass with blue tear streams, hands on face. Yamal minifigure runs past happily dribbling the ball. 4.⁠ ⁠Dramatic stadium scene: Yamal in Spain kit runs past two Argentina defenders and kicks the ball powerfully toward goal. Close-up of foot striking ball. 5.⁠ ⁠Yamal scores! Goalkeeper dives and misses. Yamal celebrates by lifting the golden Lego World Cup trophy high on the field with confetti raining down. Messi lies on the ground covering his face in defeat nearby. Use bright, cheerful Lego colors, dynamic camera angles (wide shots, action close-ups, low angles), smooth minifigure animations, and upbeat energetic feel. High detail Lego texture, cinematic lighting, 16:9 aspect ratio, 16 seconds duration." #happyhorse #vivareelshow more

From a blank screen to an entire world. Wery... AI turns imagination into reality. Made with Seedance 2.0 on WeryAI Wery Prompt: Cinematic AI Video Prompt A frustrated young male creator sits alone in a dark creative studio, staring at a completely blank computer monitor. He rests his hand on his forehead, looking stuck and out of ideas. The room is moody and cinematic, with soft monitor glow and deep shadows. The blank screen suddenly begins transforming into a vivid cinematic world. The camera smoothly pushes toward the monitor and transitions seamlessly inside it, revealing an enchanting fantasy forest filled with enormous ancient trees, glowing purple-pink foliage, exotic plants, soft mist, and a crystal-clear stream reflecting warm rays of sunlight. Magical particles float gently through the air as the camera slowly travels forward through the forest. The scene then dramatically transitions into a sleek futuristic black supercar speeding through a winding mountain road at dusk. The car accelerates aggressively around the curves, tires producing subtle smoke and sparks, glowing red taillights reflecting across the wet asphalt. Massive mountains surround the road with a bright full moon in the background. Ultra-cinematic commercial look, photorealistic details, dynamic camera movement, smooth transitions, volumetric lighting, atmospheric fog, realistic reflections, shallow depth of field, dramatic contrast, premium VFX, realistic motion blur, 4K quality. End with a powerful tracking shot behind the supercar as it disappears into the mountain road. Duration: 15 seconds. Aspect ratio: 16:9. No text, no logos, no watermark.show more

Created on seedance 2.0 Prompt: A cinematic, atmospheric scene... in a dimly lit, empty underground parking garage at night. A young East Asian woman with long dark hair, wearing an olive-green oversized jacket and cargo pants, walks slowly away from the camera down the center of a wide parking lane, holding a white plastic bag in her right hand. The environment is cool-toned with concrete pillars, fluorescent tube lights on the ceiling casting harsh shadows, and painted arrows on the glossy floor. She approaches a parked dark green/teal luxury sedan on the right side. She stops beside the car, raises her arm, and hangs the white plastic bag on the side mirror or door handle. She then turns slightly toward the camera, leans against the car for a moment, pulls out her phone with both hands, and looks down at the screen with a focused, slightly uneasy expression. Suddenly, a eerie supernatural moment: a translucent, ghostly pale female figure with long black hair and a white dress materializes in the background behind her. The woman looks up from her phone in shock as the ghost stands motionless, staring. Quick motion blur and dramatic tension as she reacts. Moody horror-thriller style, realistic lighting, subtle film grain, cool blue-cyan color grading, slow deliberate camera movement following her from behind then panning slightly to the side. 12-second duration, high detail, cinematic." This prompt captures the full sequence from the provided video frames while being optimized for AI video tools. You can adjust details like aspect ratio (16:9), style (more horror, more realistic), or camera movement as needed.show more

Sebelum mulai Premiere MOVIE SURTI & AGNEZ canvas project... Made with Flova FlovaAI FlovaAI_Japan #Flovaai #Flovacpp #AIfilm #reacher #MI prompt : Prompt Video 10 Detik — Premier Film “SURTI dan AGNEZ” | MiniDV Camcorder 2000s Early-2000s Indonesian movie premiere event inside a classic cinema. SURTI and AGNEZ are standing together on a small stage directly in front of the cinema screen, smiling and posing for the audience and press cameras. Behind them is a large theatrical movie poster clearly displaying the title “SURTI dan AGNEZ”, with an authentic early-2000s Indonesian movie-poster design, dramatic cinematic artwork, and premiere-event graphics. Both women maintain the exact same identity, face, hairstyle, body proportions, and outfit as the reference characters. They look excited and slightly nervous, naturally interacting with each other like actresses attending their film premiere. Surti briefly waves toward the audience while Agnez smiles and gives a small thumbs-up. Several photographers and journalists are visible in front of the stage, camera flashes going off. 0–3 seconds: Handheld camcorder approaches the stage from the audience, slightly shaky and imperfectly framed. Surti and Agnez notice the camera and smile. 3–7 seconds: Camera moves closer and slowly pans from Surti to Agnez. They pose together, wave, and laugh naturally. The large “SURTI dan AGNEZ” movie poster remains clearly visible behind them. 7–10 seconds: Camera pulls back slightly, revealing more of the packed cinema premiere atmosphere, photographers, audience, stage decorations, and movie poster. Surti and Agnez continue smiling and waving. Visual style: authentic early-2000s MiniDV/Digital8 home-video footage, 4:3 camcorder aesthetic, interlaced video feel, visible digital noise, slight chromatic aberration, soft low-resolution image, blown-out highlights from camera flashes, auto white-balance fluctuations, subtle motion blur, handheld shake, imperfect autofocus, occasional exposure pumping, timestamp-like early-2000s documentary feeling. Natural skin texture, realistic Indonesian cinema environment, candid event documentation, nostalgic 2000s atmosphere. Camera: handheld consumer MiniDV camcorder, shoulder/eye-level perspective, amateur event videographer, no modern cinematic stabilization, no drone shots, no modern digital-camera look. Audio: muffled crowd chatter, excited audience reactions, camera shutter sounds, small flashes, people talking in Indonesian, authentic noisy cinema-premiere ambience. Duration: 10 seconds Aspect ratio: 16:9 Style: realistic archival MiniDV footage, early-2000s Indonesian movie premiere documentary.show more

It’s just a video player on localhost:8080. That’s what... I keep telling myself. Minimax H3 on Fish Creative Prompt Fixed-camera desktop screen recording of a real Windows 11 Chrome window filling the entire frame. Do not restyle the browser as a mockup, poster, or floating card. Keep the exact chrome from the reference still for every frame. Browser frame (locked, zero motion): - Tab title: Local Video Player - Address bar URL: localhost:8080 - Bookmarks bar left to right: Apps, Work, Personal, Google, GitHub, Docs, YouTube, then Other bookmarks on the right - Chrome controls: back, forward, refresh, extensions, profile avatar “M”, puzzle piece, shield, three-dot menu - Windows 11 taskbar along the bottom: search “Type here to search”, File Explorer, Google Chrome, Visual Studio Code, system tray, time 10:30 AM, date 5/20/2024 Page layout (labels, colors, and positions never change): - Left: large HTML5 video canvas - Under the canvas: play/pause triangle, timecode starting 00:00 / 00:10, purple seek bar, speaker, purple volume slider, fullscreen icon - Right sidebar on near-black: - “Video Player” with purple clapperboard icon - Controls: Space Play / Pause; ← → Seek ±5 seconds; ↑ ↓ Volume ±10%; F Toggle Fullscreen; M Mute / Unmute - Playlist: purple play arrow, “Sample Video”, 00:10 - Playback Rate: 0.5x, 1x filled purple and selected, 1.5x, 2x Character identity (must stay the same person in every pose): Photoreal young woman, long wavy blonde hair, gray school-style blazer over a white collared shirt, gray pleated mini skirt, black knee-high socks. Same face, same proportions, same outfit. Location stays the green grassy hill under a pale overcast sky. No costume change, no second character, no extra props. Motion rules: - Camera never moves. Browser chrome, sidebar, bookmarks, taskbar, and all UI text stay perfectly still. - Only the video canvas animates. Treat the canvas as a short fashion / pose test clip of the same girl on the hill. - Playback runs continuously at 1x. Do not pause the player. Do not flash a big pause icon. Do not cut away from the hill. - Timecode and the purple progress thumb advance smoothly from 00:00 to 00:10. Pose sequence inside the canvas (hold each pose ~1.5–2 seconds, then transition with natural body motion, hair, and cloth, not a hard cut): 1. Start pose (match the reference still): leaning forward, both hands on her knees, looking into camera with a pout. 2. Rise and stand tall: she straightens up, hands leave her knees, stands facing camera with arms relaxed at her sides, chin slightly lifted, wind moving her hair. 3. Hands-on-hips: she plants both hands on her hips, weight on one leg, slight hip cock, blazer and skirt settling, confident look into camera. 4. Turn / three-quarter: she twists her torso to her right, looks back over her shoulder toward camera, hair swinging, one hand lightly holding the hem of the skirt so it does not lift unnaturally. 5. Crouch / ready: she drops into a low athletic crouch, fingertips brushing the grass, still looking up at camera, same pout softening into a small smirk. 6. End pose: she stands again, steps one foot forward, both hands clasp in front of her thighs, then eases back toward the original lean-with-hands-on-knees so the last frame rhymes with the first still. Transitions must look like the same live-action take: weight shifts, knee bend, hair lag, grass and sky stay consistent. No teleport, no outfit swap, no extra readable text burned into the video. Audio: quiet outdoor hill ambience only. No music, no voiceover, no UI click spam. Style: photoreal live-action screen capture of a local demo page running in Chrome. Not animation, not a trailer, not a poster. Duration: about 10 seconds. Aspect: 16:9 desktop.show more

Been testing Seedance 2.5 for Faceless YouTube production and... gotta say it’s the most CRACKED model ever… So I put together a guide on how to use it to create 7 upload-ready AI videos in 7 minutes inside Claude And for 24h, it can be all yours for free… Here's what you’ll learn how to do inside: → Setup Higgsfield MCP inside Claude → Connect Opus 5, Seedance 2.5, and GPT images 2.0 inside 1 workflow → Run NexLev MCP niche validation before producing a single frame → Scrape YouTube to confirm the algorithm is pushing your niche right now → Generate 8,000+ word faceless YouTube scripts with the JSON chapter framework → Lock characters, pacing, cliffhangers, and emotional structure across the full script → Match ElevenLabs narrator voices to audience psychology by niche → Use Seedance 2.5 for cinematic animated intro clips and key story moments → Fix faces with region-level edits without regenerating the full clip → Generate 15-18 static scene images with GPT images 2.0 → Create high-click YouTube thumbnails inside Higgsfield → Assemble the full video in CapCut with captions, zooms, and export settings → Follow the complete 48-minute research-to-upload production timeline Plus 7 personalized skill files, claude md's, prompts, and templates that apply this SPECIFICALLY to your Faceless YouTube niche All built based on the AI YouTube system used across: → 120+ elevate students → 800M+ views generated → $12k in avg monthly revenue Want me to DM it to you? 1. Like this post 2. Comment “SEED” 3. Follow gold.show more

Fast food deserves fast production too. This KFC-style commercial... was built with Nano Banana 2 + Seedance on Creatify AI Prompt: [16:9 Cinematic Aspect Ratio | 15 Seconds | Ultra-Realistic, High-Production Ad Film] IMPORTANT CHARACTER CONSISTENCY NOTE: Only ONE single consistent character appears throughout the entire video the same uploaded reference woman in every single frame, from 0s to 15s. Do not duplicate her, do not generate a second version of her, and do not let her face, body proportions, or identity shift or morph at any point. Her facial features, face shape, skin tone, and eye color must remain exactly identical in every frame. WARDROBE & CONTINUITY LOCK: She wears a mustard-yellow knotted crop top, high-waisted denim jeans, and a light beige apron tied around her waist, sleeves slightly rolled up, hair tied in a loose bun with a few loose strands. The apron stays tied on for the entire video it must NOT disappear, change position, untie, or reappear differently in any shot. Her hairstyle, clothing, and accessories must remain 100% consistent from the first frame to the last, with no sudden changes in outfit, hair, or styling between cuts. NO GLITCH / NO ANOMALY RULE: The video must have zero visual glitches, no flickering artifacts on her body or face, no extra limbs, no duplicated objects, no morphing hands, no random object teleportation, and no unnatural warping during transitions. All elements must stay spatially consistent and appear/disappear only through natural, intentional actions never abruptly or without cause. VOICE & DELIVERY NOTE: She speaks in a natural British (Received Pronunciation / soft London) accent throughout. Her voice should carry real emotional texture not flat or robotic with natural breath, subtle vocal fry when tired, and a genuine laugh, not a scripted one. Pitch and volume should rise and fall based on her emotional state in each moment: 0–3s line ("I still have so much left to do..."): Low volume, low pitch, tired sigh-like tone, trailing off slightly at the end sounds drained and flat, almost muttered to herself. 3–5s line ("Okay, one bite won't hurt."): Slightly hushed, playful, a small guilty smile in her voice, pitch lifts a touch on "won't hurt" like she's convincing herself. 5–7s (no dialogue): Only a sharp, involuntary inhale/gasp sound as she bites breathy, high-pitched micro reaction, almost startled. 7–11s line ("Wait... did that seriously just happen?"): Voice rises in pitch and pace, breathless with disbelief, volume increasing toward the end of the sentence, genuine excitement creeping in. 11–15s line ("This isn't just chicken. This is cheat-day magic."): Confident, warm, higher energy and volume than any previous line, a light laugh embedded before she speaks, ending on an upbeat, slightly playful high note for "magic" full smile audible in the voice. PRODUCT NOTE (Bucket Appearance): The KFC packaging is a medium-sized cylindrical paper bucket, wider at the top than the base. It is white with two bold vertical red stripes on opposite sides. Centered on the front is the classic black-line illustration of Colonel Sanders' face bald head, glasses, thick mustache, and beard with a black bow tie beneath it, and the word "KFC" printed in bold black uppercase letters below the illustration. The bucket has a slightly textured, matte paper-cup finish with a rolled/folded rim at the top edge. It is filled generously with golden-brown, deep-fried crispy chicken pieces piled slightly above the rim, with visible crispy, ridged breading texture and light steam rising from it. This exact bucket design, color, size, and branding must remain identical and consistent in every single shot throughout the video. 0–3s: A bright, airy kitchen on a sunny morning white marble countertops, open wooden shelves stacked with jars, a large window above the sink letting in soft natural light, and fresh vegetables scattered across a cutting board. The young woman stands at the counter, visibly tired, chopping vegetables slowly for a salad, occasionally pausing to rub her wrist, surrounded by unwashed dishes, a grocery list stuck to the fridge, and a timer ticking on the oven for something else she's cooking. She mutters under her breath (per voice note above), "I still have so much left to do..." 3–5s: A knock at the door she wipes her hands on her apron (apron remains tied throughout), walks over, and returns holding the KFC bucket exactly as described above, light steam rising from the freshly delivered chicken. She sets it on the counter beside her half-made salad, lifts a golden, crispy fried chicken leg piece toward the camera. She grins and says softly (per voice note above), "Okay, one bite won't hurt." 5–7s: Extreme macro slow-motion shot as she bites into the crispy skin the crunch detonates with deep, cinematic intensity. The impact sends a burst of energy through the kitchen: the curtains above the sink billow outward, the vegetable peels and grocery list flutter into the air, the oven light flickers, and golden light particles swirl around her. Her hair sways loose from its bun in the sudden gust as time seems to hold still for a beat. Her outfit and apron remain exactly as before. Only her sharp inhale/gasp sound (per voice note above) no spoken dialogue. 7–11s: The energy settles into a vibrant, glowing atmosphere. The kitchen comes alive on its own vegetables chop themselves into neat piles, the salad bowl assembles itself, the oven timer stops with a satisfying ding as the dish inside finishes perfectly, and dishes stack themselves clean in the rack. She watches, stunned, and says (per voice note above), "Wait... did that seriously just happen?" Bold animated text sweeps across the bottom third of the frame: "Kitchen: Sorted." She remains the same single character in the same outfit throughout. 11–15s: She laughs, looks at the chicken leg piece in disbelief, then confidently raises the same KFC bucket toward the camera. The camera pushes in with bright, glossy cinematic lighting as she smiles wide and says (per voice note above), "This isn't just chicken. This is cheat-day magic." The scene ends on the same KFC bucket glowing in warm sunlight, with the logo appearing top-center and the tagline sliding in from the side: "KFC One Crunch. Zero Effort."show more

Kiss Cam! Image: GPT Image 2 Video: Seedance in... Dreamina Prompt: Style: Hyper-realistic live NBA broadcast footage, authentic televised sports coverage, realistic arena lighting, telephoto broadcast lens compression, shallow depth of field, imperfect live-camera framing, natural crowd reactions, realistic skin textures, subtle compression artifacts, slight interlacing grain, live TV color grading. Duration: 14 seconds Aspect Ratio: 16:9 Camera: Fixed live broadcast camera only, no cinematic cuts, no camera movement. IMPORTANT: The scene must feel EXACTLY like a real NBA live TV Kiss Cam broadcast. The woman: — unbelievably attractive Korean woman in her 20s — long black hair — flawless skin — elegant glamorous makeup — luxurious aura — sophisticated red low-cut summer outfit — subtle jewelry — natural smile and realistic reactions The man: — overweight unattractive man — casual black jacket — glasses — awkward but wholesome energy IMPORTANT AUDIO RULE: ABSOLUTELY NO SOUND OR DIALOGUE FROM THE COUPLE. The couple never speaks. Only arena crowd cheering and distant stadium ambience. Broadcast details: — realistic NBA scoreboard overlay — sports network watermark — live broadcast graphics — crowd in background — realistic arena LEDs — slight motion blur — realistic televised image quality [00:00-00:03] Fixed Kiss Cam shot appears on the arena jumbotron. The woman notices the camera and immediately laughs shyly while casually waving her hand “no” toward the screen. The overweight man beside her looks shocked and confused, then smiles nervously. Crowd begins cheering loudly. No talking from either person. [00:03-00:06] The crowd cheers louder encouraging them. The woman smiles warmly while glancing at the man. He looks overwhelmed and frozen in disbelief. The broadcast camera slightly struggles to keep framing centered realistically like a real live operator. [00:06-00:09] The woman suddenly grabs the man’s cheeks gently and kisses him. The man becomes completely shocked and overjoyed, eyes wide, almost emotionally frozen. Arena crowd erupts cheering and laughing loudly. Realistic shallow depth of field isolates them from crowd. [00:09-00:12] The woman pulls away laughing silently and gives a playful thumbs up directly toward the Kiss Cam. The man still looks stunned and unbelievably happy. Crowd continues cheering loudly while broadcast overlays remain visible. End exactly like a real televised NBA Kiss Cam moment. [00:12-00:14] The man looks in awe and surprise to the camera , the woman smiles with shyness. Audio: ONLY loud NBA arena ambience, crowd cheering, distant announcer echo, stadium reactions, sneaker squeaks, arena music muffled in background. ABSOLUTELY NO dialogue, whispering, laughing audio, or vocal sounds from the couple. Negative prompts: No cinematic movie look, no dialogue, no talking, no subtitles, no unrealistic beauty filter, no anime style, no perfect framing, no dramatic camera movement, no unrealistic reactions, no extra people interacting directly with camera.show more

It is spectacularly easy to get shadowbanned on X... One wrong reply and your reputation can go up in flames Luckily there are a few steps you can take to reduce your odds of getting banned by 10x 🔶First step: Don't reply from notifications Notifications are a minefield because hidden, spammy replies are shown to you as normal replies It's never worth replying from here. You risk replying to low reputation accounts without even knowing it Just reply normally from the posts so you know what's marked as spam 🔶Second step: turn off sensitive content in your settings Engaging with sensitive content could hurt your reputation score Little do you know, but a ton of content that’s not actually sensitive, gets marked as sensitive Turn off sensitive content in your settings, then become shocked when you see how much innocent content is marked as sensitive (tutorial video below) 🔶Third Step: Check for following/follower ratio before hitting reply Easy check to take before every reply This is brought up in the code 100 different times as a reputation destroyer Make sure to hover over people’s name before replying and check for their ratio 60% followers to following is the ratio cut off point 🔶Fourth Step: Don’t feed the trolls There are 100+ labels for toxic behavior in the code Engaging with anyone with these labels hurts your reputation For some of these labels they can be applied just for “insults” Best not to engage with any trolls (also good for your mental health) 🔶Fifth Step: Get the blue checkmark The easiest step of them all It’s coded into the algo that if you have the blue checkmark you can’t be marked as spam Yes it costs money, but if you have any serious interest of growing on this platform, it’s a must have 🔶🔶🔶🔶🔶 I've said this before, but it absolutely stinks you have to take all these steps just to get some reach At times, it can be like walking in a minefield It doesn't exactly make a social media platform feel very 'social' I have high confidence Elon is working to fix this. He's mentioned it before. But in the meantime, take these steps and be careful. It's worth it if you care about being seen on this platform. I'm 100% confident brighter days are ahead. Let me know below if any of these tips helped and what other steps you take to avoid getting banned.show more

What if luxury livestream shopping ads could be generated... entirely with AI? From the influencer, to the boutique, to the product showcase, every frame was created with GPT Image 2 and Seedance on BudgetPixel AI The future of social commerce content is here. Prompt: 15s ultra-realistic vertical smartphone livestream advertisement, 16:9 aspect ratio, luxury social-commerce style. Use @[char ref] and @[storyboard ref]. Follow the scene sequence with seamless continuity and fast-paced livestream energy. 0:00–0:02 — Livestream opens. Front phone-camera perspective with slight handheld movement. The host smiles warmly while holding a premium black quilted crossbody handbag toward the lens. A realistic illuminated sign reading "TOKYO LIVE FLASH SALE" glows naturally in the background. Dialogue: "Hi everyone~ look at this beautiful bag." 0:02–0:04 — Medium close-up. She rotates the handbag slowly, showing the quilted pattern and gold hardware while maintaining friendly eye contact. Dialogue: "So elegant, right?" 0:04–0:06 — Extreme macro close-up. Her fingers gently glide across the quilted leather texture and premium clasp. Warm highlights reflect realistically across the material. Dialogue: "Soft, premium, luxury." 0:06–0:08 — Top-down product demonstration. She opens the bag and places a smartphone, wallet, lipstick, and power bank inside. Shopping notifications appear. Dialogue: "Everything fits perfectly." 0:08–0:10 — Tracking shot. She wears the bag crossbody and walks naturally through the boutique. Hair moves softly as she turns and smiles. Dialogue: "So comfortable." 0:10–0:12 — Full-body fashion shot. She poses naturally, showing how the bag complements her outfit. Viewer count rises rapidly. Dialogue: "Matches every look." 0:12–0:14 — Dynamic push-in. Realistic LED-style sale graphics illuminate behind her: TOKYO LIVE FLASH SALE 50% OFF LIMITED TIME Countdown Timer Dialogue: "Fifty percent off today!" 0:14–0:15 — Hero product close-up. She brings the handbag toward the camera with a warm smile as hearts and comments flood the screen. Dialogue: "Shop now before it's gone." Audio: Upbeat Japanese city-pop instrumental, subtle livestream notification sounds, floating-heart effects, boutique ambience. Photorealistic live action, natural facial expressions, realistic motion, luxury commercial quality, high-conversion livestream energy. Maintain the same host, same hairstyle, same makeup, same outfit, same handbag, same boutique environment, same lighting, and same sale branding throughout the entire video. No subtitles. No watermark. Strong product focus. Premium luxury fashion-commercial quality.show more

Made with seedance 2.0 Prompt: Create a cinematic, ultra-realistic... 15-second video following the daily life of a beautiful young Asian university student in a modern city. Shot 1 — 0–2 sec: A young Asian female university student with long dark brown hair, wearing a beige cardigan, white top, light blue jeans and carrying a cream canvas tote bag, walks through a modern university/city campus area. Cinematic establishing shot, natural daylight, realistic students and pedestrians in the background, shallow depth of field. Shot 2 — 2–3.5 sec: She boards a modern blue city bus. Side-angle tracking shot showing her stepping onto the bus with her tote bag. Urban street, realistic traffic, modern buildings in the distance, natural cinematic lighting. Shot 3 — 3.5–5 sec: Inside a bright university classroom, she sits at a wooden desk beside an open MacBook and writes notes in a notebook. Large windows behind her, soft natural sunlight, books stacked on the desk, peaceful academic atmosphere, medium cinematic shot. Shot 4 — 5–6.5 sec: Close-up over-the-shoulder shot of her hands typing on the laptop while working on an assignment. A coffee cup sits beside the laptop on a wooden table. Warm café-style lighting, realistic screen details, shallow depth of field. Shot 5 — 6.5–8.5 sec: She walks through the university campus during light rain while holding a transparent umbrella. She looks upward with a gentle smile. Wet pavement reflecting the surroundings, students walking in the background, lush green trees, soft overcast lighting, cinematic slow-motion feeling. Shot 6 — 8.5–10.5 sec: She sits at a busy Asian street-food restaurant, eating noodles from a bowl with chopsticks. Colorful drinks and another beverage are placed on the table. Busy food market in the background, warm ambient lighting, realistic steam and food details, intimate close-up. Shot 7 — 10.5–12.5 sec: At sunset, she stands on a rooftop overlooking a modern city skyline, holding a takeaway coffee cup. Her long hair gently moves in the wind. Golden-orange sunset, dramatic clouds, beautiful skyline, cinematic silhouette and warm golden-hour lighting. Shot 8 — 12.5–15 sec: She joins a group of five university girlfriends on the rooftop. They laugh together and take a selfie using a smartphone with the city skyline and sunset behind them. Genuine joyful expressions, natural poses, handheld selfie perspective, warm cinematic lighting. Overall Style: Ultra-realistic cinematic photography, realistic human faces, natural skin texture, authentic Asian university environment, soft filmic color grading, subtle depth of field, realistic lighting, smooth camera movements, documentary-style storytelling, premium cinematic look, 4K detail, natural motion, realistic clothing and hair movement, no artificial-looking faces, no text, no watermark. Aspect Ratio: 16:9 Duration: 15 seconds Frame Rate: 24 fps Visual Style: cinematic lifestyle film / realistic university life montage.show more

Would you jump off the world's tallest building on... purpose? Made by using Nano Banana pro + Seedance 2.0 on BudgetPixel AI image1 is the main character throughout the entire video. Use the exact face, hair, clothing, skin tone, necklace, and sneakers from image1. Identity lock enabled. Face, hair, clothing, and body proportions remain identical in every frame. A young Western woman with wavy blonde hair sits on the outer corner ledge of an observation deck high on the Burj Khalifa in Downtown Dubai, facing toward the deck. Her legs hang over the building edge while she leans her upper body backward into open air beyond the building. Handheld cinematic camera from slightly behind and beside her. Golden hour sunlight reflects across surrounding skyscrapers. She smiles naturally and says, "Damn, yesterday was crazy." She relaxes, stretches her shoulders and arms, then says, "and today we go again." She grins, looks toward the skyline, intentionally pushes herself backward off the ledge, committing to the jump. Her body rotates naturally as gravity pulls her downward along the side of the skyscraper. Physically accurate freefall with realistic acceleration, wind resistance, body weight, and momentum. Handheld follow camera dives after her with subtle natural shake. Just before reaching street level, she confidently fires a handheld grappling-rope launcher toward a nearby building. The steel hook anchors realistically to the structure. Tension builds and converts the fall into a smooth pendulum swing. She then chains three full pendulum swings in a row, one after another, releasing the line at the peak of each arc and immediately re-firing the rope. First swing arcs low between two towers, second swing whips around a building corner, third swing launches her high over Sheikh Zayed Road. Each release-and-refire is fast and continuous — swift agile maneuvering between skyscrapers with sharp directional changes and no pause between swings. The camera follows from dynamic handheld tracking angles, over-the-shoulder views, and wide aerial reveals. She swings freely, laughing and enjoying the ride. Her wavy blonde hair whips naturally in the wind. A flock of birds passes nearby. An aeroplane crosses the skyline at realistic distance and speed. Wind interacts naturally with her hoodie and hair. Final sweeping handheld shot above Dubai at sunset as she continues swinging forward and shouts loudly, "WOOHUUUU!" Audio: rooftop wind, distant city ambience, rushing air during freefall, mechanical grappling-launch sound, rope tension snap, birds flapping, aeroplane, joyful laughter, Dubai traffic far below. 4K Ultra HD, rich details, sharp clarity, cinematic texture, stable picture. Maintain face, hair, and clothing consistency, no distortion, high detail. Generate video without subtitles. Aspect Ratio: 16:9 Duration: 15s Camera: Non-fixed (Handheld) image1 = Character identity referenceshow more