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Smooth Clothes

Photoshop Tricks!

402,681 subscribers

36,775 views • 7 months ago •via X (Twitter)

Anya Rossi• Live Now

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Сп⭕нс⭕р Режима7 months ago

пхахахахахахххххх...)))

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The invention of the charcoal iron dates back to the 15th century, driven by the desire for clothes to have a smooth appearance.

The invention of the charcoal iron dates back to the 15th century, driven by the desire for clothes to have a smooth appearance.

Historic Vids

1,418,328 views • 2 years ago

North recently tried ironing. This week: shirt folding. 👕 Unlike ironing, folding is a skill even the most reluctant of our engineers have mastered. Notice how smooth the hand movements are. Clothes deserve some respect. 😉

North recently tried ironing. This week: shirt folding. 👕 Unlike ironing, folding is a skill even the most reluctant of our engineers have mastered. Notice how smooth the hand movements are. Clothes deserve some respect. 😉

Sharpa

15,444 views • 3 months ago

NEW: Aironox just launched a travel device that dries and irons your clothes automatically. Aironox GO is built to make suitcase-wrinkled clothes ready to wear in minutes without a hotel iron, ironing board, or handheld steamer. • Uses warm airflow instead of pressing a hot plate onto fabric • Inflatable attachments hold shirts and trousers in shape while they smooth • Works automatically while you shower, pack, or get ready • Dry bag attachment handles socks, underwear, tops, and small travel loads You can pre-order Aironox for $149.

NEW: Aironox just launched a travel device that dries and irons your clothes automatically. Aironox GO is built to make suitcase-wrinkled clothes ready to wear in minutes without a hotel iron, ironing board, or handheld steamer. • Uses warm airflow instead of pressing a hot plate onto fabric • Inflatable attachments hold shirts and trousers in shape while they smooth • Works automatically while you shower, pack, or get ready • Dry bag attachment handles socks, underwear, tops, and small travel loads You can pre-order Aironox for $149.

Ritwik Pavan

1,376,044 views • 3 months ago

Somanna is cooking 100% state 🔥🍿 >Mangalore people know the ground reality of how Kerala benefited at the expense of Mangalore. >Now CPM and UDF politicians are tearing their clothes and protesting against me by saying Minister Somanna must resign. >I did nothing wrong here.The decision was taken based on technical committee suggestions and for smooth operational purposes.

Somanna is cooking 100% state 🔥🍿 >Mangalore people know the ground reality of how Kerala benefited at the expense of Mangalore. >Now CPM and UDF politicians are tearing their clothes and protesting against me by saying Minister Somanna must resign. >I did nothing wrong here.The decision was taken based on technical committee suggestions and for smooth operational purposes.

Anamika

62,947 views • 1 month ago

Apparently, doing laundry is now an extreme sport. 🧺 Using Seedance 2.5 on Higgsfield Prompt : STYLE: Photorealistic live-action miniature-person FX, cinematic macro photography, ultra-shallow depth of field, realistic household environment, dynamic handheld camera, dramatic practical lighting, realistic physics, highly detailed textures, premium viral commercial aesthetic, 4K. Create a 30-second cinematic adventure featuring one athletic miniature woman at approximately 1 : 5 scale. Maintain her exact face, hairstyle, outfit, body proportions, shoes and scale consistently throughout. She begins inside a massive laundry room surrounded by enormous household objects. She sprints across a giant washing machine, jumping over spinning buttons and detergent bottles. A huge laundry basket tips over, sending socks and clothes tumbling across the floor like an avalanche. She runs across the moving pile, using a hanging shirt as a rope to swing toward a massive ironing board. She lands on the ironing board and races across its surface as a large iron slides toward her. She narrowly jumps over it and grabs a dangling power cord, swinging onto a towering detergent bottle. She climbs over the bottle cap and leaps onto a huge pile of folded towels. Suddenly, a washing machine door opens and a powerful burst of warm air sends several lightweight clothes flying around her. She grabs a towel, uses it like a parachute for a short controlled glide, and lands on a giant laundry hamper. She then rides a rolling laundry cart through the room, dodging falling clothes and spinning wheels before jumping onto a massive clothesline. She runs along the line toward a giant window and finally climbs onto the curtain rod, looking across the enormous laundry room as the camera pulls far backward to reveal just how tiny she really is. Use dynamic macro tracking, dramatic low angles, smooth aerial-style movements, strong foreground parallax, realistic reflections, shadows, depth of field, fabric physics, believable human movement, detailed household textures, seamless transitions and cinematic practical lighting. SFX: Footsteps, fabric movement, washing-machine hum, buttons clicking, detergent bottles rattling, clothes falling, metal impacts, cart wheels, air rushing, fabric flapping and cinematic impact sounds. NEGATIVE: Cartoon, anime, toy-like appearance, animation, plastic-looking miniature, duplicated character, face changes, outfit changes, distorted anatomy, floating objects, impossible physics, inconsistent scale, scale changes, teleportation, excessive motion blur, narration, subtitles, watermark.

Apparently, doing laundry is now an extreme sport. 🧺 Using Seedance 2.5 on Higgsfield Prompt : STYLE: Photorealistic live-action miniature-person FX, cinematic macro photography, ultra-shallow depth of field, realistic household environment, dynamic handheld camera, dramatic practical lighting, realistic physics, highly detailed textures, premium viral commercial aesthetic, 4K. Create a 30-second cinematic adventure featuring one athletic miniature woman at approximately 1 : 5 scale. Maintain her exact face, hairstyle, outfit, body proportions, shoes and scale consistently throughout. She begins inside a massive laundry room surrounded by enormous household objects. She sprints across a giant washing machine, jumping over spinning buttons and detergent bottles. A huge laundry basket tips over, sending socks and clothes tumbling across the floor like an avalanche. She runs across the moving pile, using a hanging shirt as a rope to swing toward a massive ironing board. She lands on the ironing board and races across its surface as a large iron slides toward her. She narrowly jumps over it and grabs a dangling power cord, swinging onto a towering detergent bottle. She climbs over the bottle cap and leaps onto a huge pile of folded towels. Suddenly, a washing machine door opens and a powerful burst of warm air sends several lightweight clothes flying around her. She grabs a towel, uses it like a parachute for a short controlled glide, and lands on a giant laundry hamper. She then rides a rolling laundry cart through the room, dodging falling clothes and spinning wheels before jumping onto a massive clothesline. She runs along the line toward a giant window and finally climbs onto the curtain rod, looking across the enormous laundry room as the camera pulls far backward to reveal just how tiny she really is. Use dynamic macro tracking, dramatic low angles, smooth aerial-style movements, strong foreground parallax, realistic reflections, shadows, depth of field, fabric physics, believable human movement, detailed household textures, seamless transitions and cinematic practical lighting. SFX: Footsteps, fabric movement, washing-machine hum, buttons clicking, detergent bottles rattling, clothes falling, metal impacts, cart wheels, air rushing, fabric flapping and cinematic impact sounds. NEGATIVE: Cartoon, anime, toy-like appearance, animation, plastic-looking miniature, duplicated character, face changes, outfit changes, distorted anatomy, floating objects, impossible physics, inconsistent scale, scale changes, teleportation, excessive motion blur, narration, subtitles, watermark.

Smiling Khan

35,500 views • 10 days ago

100 Humanoid Robots Enter Human Homes Wuhan-based GigaAI has launched its first home humanoid robot:Seelight S1. The first 100 units will go directly into real families’ homes at Wuhan Optics Valley Future Apartment for testing. …cooking, laundry, folding clothes, tidying up, with smooth natural movements powered by the Giga Brain/Giga world model. It also stops immediately around kids or pets for safety.（Giga is also working on autonomous driving and video-generating world models.） Timeline: >May 31: Robots move into the apartment >Q3 2026: Seed user selection >First half of 2027: Official home deployment Current cost is around 200,000 RMB($29K), with a target to bring it under 100,000 RMB($14K)by mid-2027. Interestingly, Huawei invested in GigaAI last November. Beyond the industrial sector, Huawei possesses a massive consumer market; this provides the Seelight S1 with a wealth of service opportunities--ranging from automotive dealerships and consumer electronics to various application scenarios for individual users. But now,Wuhan is actually making this happen first.

100 Humanoid Robots Enter Human Homes Wuhan-based GigaAI has launched its first home humanoid robot:Seelight S1. The first 100 units will go directly into real families’ homes at Wuhan Optics Valley Future Apartment for testing. …cooking, laundry, folding clothes, tidying up, with smooth natural movements powered by the Giga Brain/Giga world model. It also stops immediately around kids or pets for safety.（Giga is also working on autonomous driving and video-generating world models.） Timeline: >May 31: Robots move into the apartment >Q3 2026: Seed user selection >First half of 2027: Official home deployment Current cost is around 200,000 RMB($29K), with a target to bring it under 100,000 RMB($14K)by mid-2027. Interestingly, Huawei invested in GigaAI last November. Beyond the industrial sector, Huawei possesses a massive consumer market; this provides the Seelight S1 with a wealth of service opportunities--ranging from automotive dealerships and consumer electronics to various application scenarios for individual users. But now,Wuhan is actually making this happen first.

CyberRobo

25,209 views • 5 months ago

There are voices… and then there are voices. #CharlieKing - aka Charlie Todwong, wuod Acholi - belongs to that rare category that didn’t just ride a beat; he owned it. Back when #SwahiliNation was not just a group but a movement, his smooth delivery on “Hakuna Matata” made East Africa sway like we had all collectively agreed to be cool. And then he hit us with “Stand Up and Sing.” If you don’t remember it, please -do yourself a cultural favor - Google it. Press play. Let the bassline educate you. From Run 4 Fun’s “Ain’tcha Gonna Be a Jamaican” to Dr. Alban’s “Long Time Ago,” to those unmistakable vocals on Clea’s “We Don’t Have to Take Our Clothes Off,” Charlie was quietly exporting Ugandan excellence before “export-ready” became a buzzword. Remixer. Producer. Vocalist. Bugi Road (BRPS) old boy. Jinja College talent incubatee. And now here he is, effortlessly gliding through Lionel Richie’s “All Night Long” like the song was written in Gulu. Some legends shout. Others simply sing - and let the rest of us catch up. #Uganda

There are voices… and then there are voices. #CharlieKing - aka Charlie Todwong, wuod Acholi - belongs to that rare category that didn’t just ride a beat; he owned it. Back when #SwahiliNation was not just a group but a movement, his smooth delivery on “Hakuna Matata” made East Africa sway like we had all collectively agreed to be cool. And then he hit us with “Stand Up and Sing.” If you don’t remember it, please -do yourself a cultural favor - Google it. Press play. Let the bassline educate you. From Run 4 Fun’s “Ain’tcha Gonna Be a Jamaican” to Dr. Alban’s “Long Time Ago,” to those unmistakable vocals on Clea’s “We Don’t Have to Take Our Clothes Off,” Charlie was quietly exporting Ugandan excellence before “export-ready” became a buzzword. Remixer. Producer. Vocalist. Bugi Road (BRPS) old boy. Jinja College talent incubatee. And now here he is, effortlessly gliding through Lionel Richie’s “All Night Long” like the song was written in Gulu. Some legends shout. Others simply sing - and let the rest of us catch up. #Uganda

Patrick Oyulu

13,887 views • 7 months ago

Just tried Seedance 2.5 on Pollo AI and pushed it into a 30-second cinematic sequence. 🎬 Loved how smooth the motion and camera work can feel when the scene is properly directed. Seedance 2.5 is currently 50% OFF on Pollo AI for a limited time. Prompt; 30-sec cinematic London grappling sequence. Ultra-photorealistic live-action Hollywood cinematography, realistic physics, natural lighting, detailed London environments, cinematic depth of field, 35mm/50mm look, 4K. A beautiful young adult White American woman, mid-20s, long blonde hair, athletic build, natural face. She is an ordinary woman using experimental wrist-mounted grappling devices, not a superhero. No mask, cape, emblem or superhero costume. She wears the same fitted black athletic crop top with subtle piping, black high-waisted athletic shorts, white sneakers and minimal jewelry throughout. Camera: One continuous third-person tracking shot. Camera always remains outside her, never first-person, handheld or smartphone. Keep her clearly visible and maintain smooth physically motivated movement. No cuts or perspective changes. 0:00–0:05: Golden-hour London apartment overlooking the skyline. She sits safely on the balcony ledge, looks toward camera and says, “Okay… let’s see if this works.” Camera slowly moves toward her. 0:05–0:09: She steps over the railing and descends naturally. Camera follows backward in a wide full-body shot. 0:09–0:13: Her right wrist device activates with a subtle orange light. Cable shoots to a believable rooftop anchor, visibly attaches and becomes taut, converting her fall into a realistic swing. 0:13–0:18: Camera tracks beside her as she swings between buildings. River Thames and London skyline below, with buses, black cabs and traffic. She releases the cable and activates her left wrist. 0:18–0:22: Second cable attaches to a rooftop. She swings again as the camera smoothly arcs around her while keeping her full body visible. 0:22–0:26: She lands naturally on a rooftop, runs three steps, reaches the edge, pauses briefly, then leaps toward the next building. 0:26–0:30: She fires a final cable and makes a huge smooth swing above London. Camera pulls backward and upward, revealing Tower Bridge, London Eye, The Shard, Westminster, Thames and the city at sunset. She releases and briefly glides forward before becoming a small silhouette. Fade to black. Maintain exact character, outfit, devices and environment continuity. Realistic gravity, momentum, cable tension, wind, hair and clothing physics. No teleportation, impossible movement, distorted hands, duplicated limbs, warped buildings, disappearing cables, changing clothes, excessive VFX or background morphing. Keep it subtle.

Just tried Seedance 2.5 on Pollo AI and pushed it into a 30-second cinematic sequence. 🎬 Loved how smooth the motion and camera work can feel when the scene is properly directed. Seedance 2.5 is currently 50% OFF on Pollo AI for a limited time. Prompt; 30-sec cinematic London grappling sequence. Ultra-photorealistic live-action Hollywood cinematography, realistic physics, natural lighting, detailed London environments, cinematic depth of field, 35mm/50mm look, 4K. A beautiful young adult White American woman, mid-20s, long blonde hair, athletic build, natural face. She is an ordinary woman using experimental wrist-mounted grappling devices, not a superhero. No mask, cape, emblem or superhero costume. She wears the same fitted black athletic crop top with subtle piping, black high-waisted athletic shorts, white sneakers and minimal jewelry throughout. Camera: One continuous third-person tracking shot. Camera always remains outside her, never first-person, handheld or smartphone. Keep her clearly visible and maintain smooth physically motivated movement. No cuts or perspective changes. 0:00–0:05: Golden-hour London apartment overlooking the skyline. She sits safely on the balcony ledge, looks toward camera and says, “Okay… let’s see if this works.” Camera slowly moves toward her. 0:05–0:09: She steps over the railing and descends naturally. Camera follows backward in a wide full-body shot. 0:09–0:13: Her right wrist device activates with a subtle orange light. Cable shoots to a believable rooftop anchor, visibly attaches and becomes taut, converting her fall into a realistic swing. 0:13–0:18: Camera tracks beside her as she swings between buildings. River Thames and London skyline below, with buses, black cabs and traffic. She releases the cable and activates her left wrist. 0:18–0:22: Second cable attaches to a rooftop. She swings again as the camera smoothly arcs around her while keeping her full body visible. 0:22–0:26: She lands naturally on a rooftop, runs three steps, reaches the edge, pauses briefly, then leaps toward the next building. 0:26–0:30: She fires a final cable and makes a huge smooth swing above London. Camera pulls backward and upward, revealing Tower Bridge, London Eye, The Shard, Westminster, Thames and the city at sunset. She releases and briefly glides forward before becoming a small silhouette. Fade to black. Maintain exact character, outfit, devices and environment continuity. Realistic gravity, momentum, cable tension, wind, hair and clothing physics. No teleportation, impossible movement, distorted hands, duplicated limbs, warped buildings, disappearing cables, changing clothes, excessive VFX or background morphing. Keep it subtle.

Jack

18,519 views • 2 months ago

The $4 "White Gold" That Replaces Laundry Detergent Forever The big detergent brands have a secret they don’t want you to know: You’re paying for 97% water and additives. Stop buying the blue goop and start making "White Gold." This isn't just a DIY hack; it’s a chemical masterclass in cleaning. This simple formula is powerful enough to lift proteins and oils, yet costs less than $4 to make a year's supply (roughly 300 loads!). Why It Works (The Science) This mixture uses a three-pronged attack on dirt: Surfactant: Breaks surface tension so water can actually penetrate fibers. Water Softener: Neutralizes hard water minerals (calcium/magnesium) that make clothes feel stiff. Alkaline Catalyst: Creates a pH spike (around pH 11) to lift grease and grime instantly. The "White Gold" Recipe Forget the expensive pods. Here is the exact breakdown to fill a 5-gallon orange bucket: 1 Bar of Castile Soap (Dr. Bronner’s or Kirk’s - grates into roughly 1 cup). 1 Full Cup of Washing Soda (Sodium Carbonate). 1 Full Cup of Borax. Hot Water. Step-by-Step Instructions Grate & Melt: Grate your bar soap into a saucepan with some water. Heat and stir until it’s a smooth liquid. The Bucket: Fill an orange 5-gallon bucket halfway with hot water. Combine: Pour your melted soap mixture into the bucket. Add 1 cup of Washing Soda and 1 cup of Borax. Stir: Stir slowly with a wooden spoon for 2 minutes. The Phase Change: You’ll feel the texture change as the chemistry kicks in. Fill the rest of the bucket with water, cover it, and let it sit overnight (8–12 hours). By morning, it will have transformed into a thick, concentrated gel—The White Gold. "One bucket = 300 loads. That is a full year of laundry for a family of four for less than the price of a coffee." Stop letting giant corporations drain your wallet. Better for your clothes, better for your skin, and way better for your bank account.

The $4 "White Gold" That Replaces Laundry Detergent Forever The big detergent brands have a secret they don’t want you to know: You’re paying for 97% water and additives. Stop buying the blue goop and start making "White Gold." This isn't just a DIY hack; it’s a chemical masterclass in cleaning. This simple formula is powerful enough to lift proteins and oils, yet costs less than $4 to make a year's supply (roughly 300 loads!). Why It Works (The Science) This mixture uses a three-pronged attack on dirt: Surfactant: Breaks surface tension so water can actually penetrate fibers. Water Softener: Neutralizes hard water minerals (calcium/magnesium) that make clothes feel stiff. Alkaline Catalyst: Creates a pH spike (around pH 11) to lift grease and grime instantly. The "White Gold" Recipe Forget the expensive pods. Here is the exact breakdown to fill a 5-gallon orange bucket: 1 Bar of Castile Soap (Dr. Bronner’s or Kirk’s - grates into roughly 1 cup). 1 Full Cup of Washing Soda (Sodium Carbonate). 1 Full Cup of Borax. Hot Water. Step-by-Step Instructions Grate & Melt: Grate your bar soap into a saucepan with some water. Heat and stir until it’s a smooth liquid. The Bucket: Fill an orange 5-gallon bucket halfway with hot water. Combine: Pour your melted soap mixture into the bucket. Add 1 cup of Washing Soda and 1 cup of Borax. Stir: Stir slowly with a wooden spoon for 2 minutes. The Phase Change: You’ll feel the texture change as the chemistry kicks in. Fill the rest of the bucket with water, cover it, and let it sit overnight (8–12 hours). By morning, it will have transformed into a thick, concentrated gel—The White Gold. "One bucket = 300 loads. That is a full year of laundry for a family of four for less than the price of a coffee." Stop letting giant corporations drain your wallet. Better for your clothes, better for your skin, and way better for your bank account.

✨️Serenitee♡Sam✨️

92,618 views • 5 months ago

AI Video Generation Prompt > A cinematic hand-drawn anime scene of a young schoolgirl riding a skateboard along a narrow seaside promenade in a vibrant coastal city. She wears a loose blue school uniform, red socks, sneakers, and a bright yellow backpack. The camera follows smoothly from behind as she gently skateboards forward, her short brown hair and uniform moving naturally in the ocean breeze. On the left, colorful densely packed seaside buildings, small shops, signs, pedestrians, balconies, electrical wires and street details create a lively urban atmosphere. On the right, brilliant turquoise-blue ocean waves crash dramatically against the seawall, with white foam and sparkling water. In the distance, the coastline curves toward the horizon beneath an enormous vivid blue sky filled with soft white cumulus clouds. Warm afternoon sunlight, long shadows, rich saturated colors, detailed hand-painted backgrounds, nostalgic Japanese anime aesthetic, fluid 2D animation, subtle parallax between foreground and background, realistic wave motion, gentle camera tracking, peaceful adventurous atmosphere, highly detailed cinematic composition, vertical 9:16. Motion: smooth forward skateboard movement, natural hair and clothing flutter, pedestrians subtly moving, ocean waves continuously rolling and splashing, clouds drifting slowly, gentle handheld/cinematic camera movement. Negative prompt: photorealistic, 3D CGI, distorted anatomy, extra limbs, flickering, warped buildings, changing clothes, changing backpack, blurry details, jittery motion, unnatural skateboard movement, text artifacts, oversaturated neon colors.

AI Video Generation Prompt > A cinematic hand-drawn anime scene of a young schoolgirl riding a skateboard along a narrow seaside promenade in a vibrant coastal city. She wears a loose blue school uniform, red socks, sneakers, and a bright yellow backpack. The camera follows smoothly from behind as she gently skateboards forward, her short brown hair and uniform moving naturally in the ocean breeze. On the left, colorful densely packed seaside buildings, small shops, signs, pedestrians, balconies, electrical wires and street details create a lively urban atmosphere. On the right, brilliant turquoise-blue ocean waves crash dramatically against the seawall, with white foam and sparkling water. In the distance, the coastline curves toward the horizon beneath an enormous vivid blue sky filled with soft white cumulus clouds. Warm afternoon sunlight, long shadows, rich saturated colors, detailed hand-painted backgrounds, nostalgic Japanese anime aesthetic, fluid 2D animation, subtle parallax between foreground and background, realistic wave motion, gentle camera tracking, peaceful adventurous atmosphere, highly detailed cinematic composition, vertical 9:16. Motion: smooth forward skateboard movement, natural hair and clothing flutter, pedestrians subtly moving, ocean waves continuously rolling and splashing, clouds drifting slowly, gentle handheld/cinematic camera movement. Negative prompt: photorealistic, 3D CGI, distorted anatomy, extra limbs, flickering, warped buildings, changing clothes, changing backpack, blurry details, jittery motion, unnatural skateboard movement, text artifacts, oversaturated neon colors.

AI_with_qamar

96,814 views • 22 days ago

A beautiful Korean countryside moment filled with love, laughter, and simple family memories. Sometimes, the quietest moments become the memories we cherish forever. Created on seedance 2.0 Prompt: Created a video, featuring beautiful Korean words and a warm, nostalgic Korean countryside lifestyle style. Show a loving Korean mother and three young children enjoying a peaceful summer evening in a traditional rural Korean village, with warm golden-hour sunlight, old tiled-roof houses, stone walls, green rice fields, and a calm countryside atmosphere. Begin with the mother gently opening an old wooden door, then transition into a cinematic tracking shot of her riding a bicycle with the children happily cycling alongside her through the village road. Capture natural childhood laughter, soft bicycle movements, flowing clothes, and authentic family interactions with realistic Korean facial features and expressions. Move into wider cinematic shots of the family cycling beside lush rice fields and a small stream, creating a peaceful sense of freedom and nostalgia. Show the mother sitting beside the children near the field, sharing fresh fruit and snacks while they smile and talk together. Use beautiful natural lighting, soft sunset glow, subtle film grain, shallow depth of field, realistic textures, and smooth cinematic camera movement. End with a wide emotional shot of the family sitting together beside the quiet stream under a large tree as the sun sets behind the rice fields. Photorealistic live-action, cinematic Korean family film aesthetic, warm colors, gentle pacing, authentic emotions, 16:9 composition, highly detailed, natural physics, no artificial-looking faces.

A beautiful Korean countryside moment filled with love, laughter, and simple family memories. Sometimes, the quietest moments become the memories we cherish forever. Created on seedance 2.0 Prompt: Created a video, featuring beautiful Korean words and a warm, nostalgic Korean countryside lifestyle style. Show a loving Korean mother and three young children enjoying a peaceful summer evening in a traditional rural Korean village, with warm golden-hour sunlight, old tiled-roof houses, stone walls, green rice fields, and a calm countryside atmosphere. Begin with the mother gently opening an old wooden door, then transition into a cinematic tracking shot of her riding a bicycle with the children happily cycling alongside her through the village road. Capture natural childhood laughter, soft bicycle movements, flowing clothes, and authentic family interactions with realistic Korean facial features and expressions. Move into wider cinematic shots of the family cycling beside lush rice fields and a small stream, creating a peaceful sense of freedom and nostalgia. Show the mother sitting beside the children near the field, sharing fresh fruit and snacks while they smile and talk together. Use beautiful natural lighting, soft sunset glow, subtle film grain, shallow depth of field, realistic textures, and smooth cinematic camera movement. End with a wide emotional shot of the family sitting together beside the quiet stream under a large tree as the sun sets behind the rice fields. Photorealistic live-action, cinematic Korean family film aesthetic, warm colors, gentle pacing, authentic emotions, 16:9 composition, highly detailed, natural physics, no artificial-looking faces.

ayzalnoor

18,857 views • 1 month ago

$I am testing Seedance 2.5 and I have to admit that the quality of animations it’s really amazing😍 What do you think? Good night, sleep well 🌙 Seedance 2.5 via Higgsfield AI Video Prompt: { "type": "video_prompt", "duration": "30s", "style": { "visual": "Cinematic realism, supernatural thriller, natural late-afternoon light, subtle film grain", "time_freeze": "Complete stop, no magic glow, no slow-motion", "camera": "Handheld tracking before freeze → smooth continuous tracking after. Minimal cuts." }, "subject": { "identity": "Young woman matched to uploaded reference", "appearance": "Platinum-blonde wavy updo with loose curls, pale blue eyes, fair skin", "outfit": "White ruched strapless crop top with side cut-outs + belly piercing, matching white bottoms, small shoulder bag" }, "supporting": { "thief": "Male in dark street clothes approaching from behind" }, "environment": "Busy modern city street, late afternoon — crowds, cars, cyclists, pigeons, leaves, vendors", "core_rules": { "freeze": "Triggered by her scream", "unfreeze": "Triggered by finger snap", "movement": "Only she, objects she touches, and camera move", "arc": "Fear → confusion → curiosity → playful confidence. Walks away from thief forever.", "changes": [ "Straighten businessman’s crooked tie", "Lower woman’s sunglasses onto her eyes", "Close man’s umbrella and tuck under arm" ] }, "sequence": [ { "time": "00-04", "title": "Approach", "action": "She walks with bag. Thief approaches. Full city life." }, { "time": "04-07", "title": "Attempt", "action": "Thief grabs bag. She screams → everything freezes. Absolute silence." }, { "time": "07-11", "title": "Escape", "action": "She removes thief’s frozen hands, secures bag, walks away." }, { "time": "11-15", "title": "Change 1", "action": "Straightens frozen businessman’s tie, keeps walking." }, { "time": "15-19", "title": "Change 2", "action": "Lowers frozen woman’s sunglasses onto eyes, amused look, continues." }, { "time": "19-23", "title": "Change 3", "action": "Closes frozen man’s umbrella, places under arm, slight smile." }, { "time": "23-27", "title": "Frozen Walk", "action": "Confident walk through completely frozen city. Calm realization of control." }, { "time": "27-30", "title": "Time Returns", "action": "Snaps fingers while walking. Time resumes. Altered people react. Thief left behind. She never looks back." } ], "audio": { "before": "Full city ambience", "freeze": "Near silence (only her footsteps/breathing)", "after": "Instant full city noise" }, "negative": [ "No text/logos/subtitles", "No distorted anatomy", "No duplicated people", "No slow-mo freeze", "No glowing VFX", "No music", "Frozen subjects stay completely still" ] } ```$

I am testing Seedance 2.5 and I have to admit that the quality of animations it’s really amazing😍 What do you think? Good night, sleep well 🌙 Seedance 2.5 via Higgsfield AI Video Prompt: { "type": "video_prompt", "duration": "30s", "style": { "visual": "Cinematic realism, supernatural thriller, natural late-afternoon light, subtle film grain", "time_freeze": "Complete stop, no magic glow, no slow-motion", "camera": "Handheld tracking before freeze → smooth continuous tracking after. Minimal cuts." }, "subject": { "identity": "Young woman matched to uploaded reference", "appearance": "Platinum-blonde wavy updo with loose curls, pale blue eyes, fair skin", "outfit": "White ruched strapless crop top with side cut-outs + belly piercing, matching white bottoms, small shoulder bag" }, "supporting": { "thief": "Male in dark street clothes approaching from behind" }, "environment": "Busy modern city street, late afternoon — crowds, cars, cyclists, pigeons, leaves, vendors", "core_rules": { "freeze": "Triggered by her scream", "unfreeze": "Triggered by finger snap", "movement": "Only she, objects she touches, and camera move", "arc": "Fear → confusion → curiosity → playful confidence. Walks away from thief forever.", "changes": [ "Straighten businessman’s crooked tie", "Lower woman’s sunglasses onto her eyes", "Close man’s umbrella and tuck under arm" ] }, "sequence": [ { "time": "00-04", "title": "Approach", "action": "She walks with bag. Thief approaches. Full city life." }, { "time": "04-07", "title": "Attempt", "action": "Thief grabs bag. She screams → everything freezes. Absolute silence." }, { "time": "07-11", "title": "Escape", "action": "She removes thief’s frozen hands, secures bag, walks away." }, { "time": "11-15", "title": "Change 1", "action": "Straightens frozen businessman’s tie, keeps walking." }, { "time": "15-19", "title": "Change 2", "action": "Lowers frozen woman’s sunglasses onto eyes, amused look, continues." }, { "time": "19-23", "title": "Change 3", "action": "Closes frozen man’s umbrella, places under arm, slight smile." }, { "time": "23-27", "title": "Frozen Walk", "action": "Confident walk through completely frozen city. Calm realization of control." }, { "time": "27-30", "title": "Time Returns", "action": "Snaps fingers while walking. Time resumes. Altered people react. Thief left behind. She never looks back." } ], "audio": { "before": "Full city ambience", "freeze": "Near silence (only her footsteps/breathing)", "after": "Instant full city noise" }, "negative": [ "No text/logos/subtitles", "No distorted anatomy", "No duplicated people", "No slow-mo freeze", "No glowing VFX", "No music", "Frozen subjects stay completely still" ] } ```

KeorUnreal

30,681 views • 2 months ago

Seedance 2.5 almighty prompt is below 👇 A 2000s studio-comedy film shot, 16:9, 35mm, moderate film grain, bright American daylight, tracking camera at chest height following a man along a city sidewalk. Smooth dolly/track with him, no handheld phone, no gimbal whip, no drone, no cuts. The camera stays with him the whole 30 seconds, medium-wide, the street readable behind him. IMAGE REFERENCES [image_ref] is the opening frame AND the identity lock: the bald man with the thick dark beard, open grey plaid flannel over a white t-shirt, mid-stride on this exact sunlit sidewalk. Keep his exact face, bald scalp, beard, body. Keep this street: Sherman Brothers shop, cafe table, stone steps and arched doorway, red fire hydrant, American flag, storefronts. Start on this composition, then the camera travels with him down the block. Do not redesign his face. He sings out loud, diegetic, the lyrics "I've got the power" in a loud off-key enthusiastic voice, the whole walk. No extra score under it. Street air, footsteps, then the gags. TIMELINE 0-4s: [Tracking medium-wide, opening on image_1] He is already walking, already singing, mouth wide, chest out, a little strut. The camera slides with him. Daylight, grain. He is having the time of his life. 4-8s: [Tracking, he twists his torso toward the hydrant without stopping] He points two fingers at the red fire hydrant on the sidewalk. The hydrant cap blows and three hard jets of water blast out in different directions, high, violent, real water physics, mist in the sun. He keeps walking and singing, does not look back for long. Camera stays on him, hydrant geysers in the background. 8-13s: [Tracking, still singing] He keeps the strut. Water still arcing behind him. Pedestrians flinch at the spray. He grins, points at the sky on a lyric, never breaks stride. 13-18s: [Tracking as he passes a woman coming the other way] A woman in a knee-length dress walks toward him. As they cross, a sudden gust hits only her: the hem lifts a little, Marilyn sidewalk-vent style but modest, a brief flip then it drops. She grabs the fabric, startled. He keeps walking, still singing, a tiny glance, no contact. Camera never leaves him. 18-23s: [Tracking slows as he reaches a shop window] He stops in front of a big storefront glass, still humming. Leans in. We see him and his reflection clearly: bald head, beard, plaid, white tee. He studies himself, tilts his chin. 23-28s: [Held on him and the reflection] In the glass and on his body at the same time, the clothes change in one continuous morph: the flannel and tee become a sharp white open-collar suit, jacket, tailored trousers, a gold chain. No cut, no flash, the fabric rewrites itself. He checks the new look in the window, pleased, shoulders back. 28-30s: [Medium, still on him] He licks the tip of his index finger, taps it to his hip, and a little puff of white steam hisses off the fabric like a hot iron being quenched. He mouths the last "power," smug. Clip ends on that beat. Camera never cut. AUDIO His live singing of "I've got the power" the whole way, a bit pitchy, full of himself. Hydrant blast and falling water. Dress flutter. A soft whoosh on the clothes change. A tiny sizzle and steam hiss on the hip. City air, footsteps, one woman gasp. No extra music bed. No commentator. 2000s film production sound, not a phone video. STYLE & QUALITY Looks like a real early-2000s movie production still that started moving: 35mm grain, anamorphic-adjacent daylight, stable faces, real water, real wind on fabric, real cloth morph, real steam. Continuous take. No morphing of the face, no extra people popping in, no text, no logos, no watermark, no phone look, no CGI sheen. The ref image is exactly the first frame. Enjoy! 😎

Seedance 2.5 almighty prompt is below 👇 A 2000s studio-comedy film shot, 16:9, 35mm, moderate film grain, bright American daylight, tracking camera at chest height following a man along a city sidewalk. Smooth dolly/track with him, no handheld phone, no gimbal whip, no drone, no cuts. The camera stays with him the whole 30 seconds, medium-wide, the street readable behind him. IMAGE REFERENCES [image_ref] is the opening frame AND the identity lock: the bald man with the thick dark beard, open grey plaid flannel over a white t-shirt, mid-stride on this exact sunlit sidewalk. Keep his exact face, bald scalp, beard, body. Keep this street: Sherman Brothers shop, cafe table, stone steps and arched doorway, red fire hydrant, American flag, storefronts. Start on this composition, then the camera travels with him down the block. Do not redesign his face. He sings out loud, diegetic, the lyrics "I've got the power" in a loud off-key enthusiastic voice, the whole walk. No extra score under it. Street air, footsteps, then the gags. TIMELINE 0-4s: [Tracking medium-wide, opening on image_1] He is already walking, already singing, mouth wide, chest out, a little strut. The camera slides with him. Daylight, grain. He is having the time of his life. 4-8s: [Tracking, he twists his torso toward the hydrant without stopping] He points two fingers at the red fire hydrant on the sidewalk. The hydrant cap blows and three hard jets of water blast out in different directions, high, violent, real water physics, mist in the sun. He keeps walking and singing, does not look back for long. Camera stays on him, hydrant geysers in the background. 8-13s: [Tracking, still singing] He keeps the strut. Water still arcing behind him. Pedestrians flinch at the spray. He grins, points at the sky on a lyric, never breaks stride. 13-18s: [Tracking as he passes a woman coming the other way] A woman in a knee-length dress walks toward him. As they cross, a sudden gust hits only her: the hem lifts a little, Marilyn sidewalk-vent style but modest, a brief flip then it drops. She grabs the fabric, startled. He keeps walking, still singing, a tiny glance, no contact. Camera never leaves him. 18-23s: [Tracking slows as he reaches a shop window] He stops in front of a big storefront glass, still humming. Leans in. We see him and his reflection clearly: bald head, beard, plaid, white tee. He studies himself, tilts his chin. 23-28s: [Held on him and the reflection] In the glass and on his body at the same time, the clothes change in one continuous morph: the flannel and tee become a sharp white open-collar suit, jacket, tailored trousers, a gold chain. No cut, no flash, the fabric rewrites itself. He checks the new look in the window, pleased, shoulders back. 28-30s: [Medium, still on him] He licks the tip of his index finger, taps it to his hip, and a little puff of white steam hisses off the fabric like a hot iron being quenched. He mouths the last "power," smug. Clip ends on that beat. Camera never cut. AUDIO His live singing of "I've got the power" the whole way, a bit pitchy, full of himself. Hydrant blast and falling water. Dress flutter. A soft whoosh on the clothes change. A tiny sizzle and steam hiss on the hip. City air, footsteps, one woman gasp. No extra music bed. No commentator. 2000s film production sound, not a phone video. STYLE & QUALITY Looks like a real early-2000s movie production still that started moving: 35mm grain, anamorphic-adjacent daylight, stable faces, real water, real wind on fabric, real cloth morph, real steam. Continuous take. No morphing of the face, no extra people popping in, no text, no logos, no watermark, no phone look, no CGI sheen. The ref image is exactly the first frame. Enjoy! 😎

TechHalla

19,367 views • 1 month ago

200 participants. One survived. Every step decided their fate 🔥 I recreated a Squid Game-inspired survival story entirely with FlovaAI . Filmmaking is now as simple as writing a script and letting AI do the magic. The workflow is incredibly simple: ➛ Start with an idea and a script, then use Script to Video Skill. ➛ Flova analyzes your script, generates consistent characters and visual assets, and transforms the entire story into cinematic video scenes with remarkable quality. From character creation to final video generation, the process is smooth, fast, and delivers results that often exceed expectations. Made with the Script to Video skill on FlovaAI Prompt: Storyboard 1 – The Selection Visual: A gigantic underground concrete hall with cold white industrial lighting. 200 contestants in identical green tracksuits stand in perfectly straight rows. Black masked guards carrying rifles surround them. Every contestant shows different emotions—fear, anxiety, determination, hopelessness. A giant digital countdown glows red above them. Camera: Slow drone shot descending from the ceiling into a close-up of terrified faces. Mood: Silent, tense, intimidating. Duration: 6–7 seconds. Storyboard 2 – The Rules Visual: Massive steel doors slowly slide open, revealing a breathtaking glass bridge suspended over a bottomless abyss. Thick fog swirls below. Powerful spotlights illuminate alternating glass panels. Camera: Wide cinematic reveal followed by a slow push toward the bridge. Mood: Mystery and overwhelming fear. Duration: 6–7 seconds. Storyboard 3 – First Decision Visual: The first contestant slowly steps onto the bridge. Their foot trembles inches above two identical glass panels. Sweat drips from their face. Everyone behind watches in complete silence. Camera: Extreme close-up of the foot, then over-the-shoulder shot toward the endless bridge. Mood: Heart-pounding suspense. Duration: 6–7 seconds. Storyboard 4 – First Elimination Visual: Another contestant chooses the wrong panel. The glass explodes into thousands of realistic shards. The contestant falls into the darkness while everyone screams in horror. Camera: Ultra slow motion tracking every glass fragment before switching to shocked reactions. Mood: Chaos and terror. Duration: 6–7 seconds. Storyboard 5 – Survival Instinct Visual: Contestants begin memorizing the safe path while others panic. One player helps a frightened teammate across a dangerous jump as the countdown continues. Camera: Fast tracking shots mixed with emotional close-ups. Mood: Hope versus desperation. Duration: 6–7 seconds. Storyboard 6 – Betrayal Visual: A desperate contestant suddenly pushes another player onto an uncertain glass panel. It instantly shatters, sending them into the abyss. The pusher freezes in guilt while others stare in disbelief. Camera: Handheld close-up followed by dramatic slow-motion. Mood: Brutal betrayal. Duration: 6–7 seconds. Storyboard 7 – Final Two Visual: Only two exhausted contestants remain. Their clothes are torn, faces bruised, breathing heavily. A giant timer flashes its final seconds above them. Camera: Wide symmetrical shot followed by alternating close-ups of both faces. Mood: Maximum tension. Duration: 6–7 seconds. Storyboard 8 – The Final Leap Visual: One contestant leaps toward the final glass panel. Time slows. Glass bends under their weight but holds. The other contestant jumps onto the wrong panel and disappears into darkness. Camera: 360° cinematic rotation with ultra slow motion. Mood: Climactic and emotional. Duration: 6–7 seconds. Storyboard 9 – The Sole Survivor Visual: The lone survivor walks toward a gigantic steel vault door. It slowly opens, flooding the arena with brilliant golden sunlight. Above, masked VIP spectators silently applaud from luxurious balconies. The survivor walks into the light without looking back. Camera: Low-angle tracking shot transitioning into a massive aerial pullback. #FlovaAI #FlovaCPP | FlovaAI_Japan

200 participants. One survived. Every step decided their fate 🔥 I recreated a Squid Game-inspired survival story entirely with FlovaAI . Filmmaking is now as simple as writing a script and letting AI do the magic. The workflow is incredibly simple: ➛ Start with an idea and a script, then use Script to Video Skill. ➛ Flova analyzes your script, generates consistent characters and visual assets, and transforms the entire story into cinematic video scenes with remarkable quality. From character creation to final video generation, the process is smooth, fast, and delivers results that often exceed expectations. Made with the Script to Video skill on FlovaAI Prompt: Storyboard 1 – The Selection Visual: A gigantic underground concrete hall with cold white industrial lighting. 200 contestants in identical green tracksuits stand in perfectly straight rows. Black masked guards carrying rifles surround them. Every contestant shows different emotions—fear, anxiety, determination, hopelessness. A giant digital countdown glows red above them. Camera: Slow drone shot descending from the ceiling into a close-up of terrified faces. Mood: Silent, tense, intimidating. Duration: 6–7 seconds. Storyboard 2 – The Rules Visual: Massive steel doors slowly slide open, revealing a breathtaking glass bridge suspended over a bottomless abyss. Thick fog swirls below. Powerful spotlights illuminate alternating glass panels. Camera: Wide cinematic reveal followed by a slow push toward the bridge. Mood: Mystery and overwhelming fear. Duration: 6–7 seconds. Storyboard 3 – First Decision Visual: The first contestant slowly steps onto the bridge. Their foot trembles inches above two identical glass panels. Sweat drips from their face. Everyone behind watches in complete silence. Camera: Extreme close-up of the foot, then over-the-shoulder shot toward the endless bridge. Mood: Heart-pounding suspense. Duration: 6–7 seconds. Storyboard 4 – First Elimination Visual: Another contestant chooses the wrong panel. The glass explodes into thousands of realistic shards. The contestant falls into the darkness while everyone screams in horror. Camera: Ultra slow motion tracking every glass fragment before switching to shocked reactions. Mood: Chaos and terror. Duration: 6–7 seconds. Storyboard 5 – Survival Instinct Visual: Contestants begin memorizing the safe path while others panic. One player helps a frightened teammate across a dangerous jump as the countdown continues. Camera: Fast tracking shots mixed with emotional close-ups. Mood: Hope versus desperation. Duration: 6–7 seconds. Storyboard 6 – Betrayal Visual: A desperate contestant suddenly pushes another player onto an uncertain glass panel. It instantly shatters, sending them into the abyss. The pusher freezes in guilt while others stare in disbelief. Camera: Handheld close-up followed by dramatic slow-motion. Mood: Brutal betrayal. Duration: 6–7 seconds. Storyboard 7 – Final Two Visual: Only two exhausted contestants remain. Their clothes are torn, faces bruised, breathing heavily. A giant timer flashes its final seconds above them. Camera: Wide symmetrical shot followed by alternating close-ups of both faces. Mood: Maximum tension. Duration: 6–7 seconds. Storyboard 8 – The Final Leap Visual: One contestant leaps toward the final glass panel. Time slows. Glass bends under their weight but holds. The other contestant jumps onto the wrong panel and disappears into darkness. Camera: 360° cinematic rotation with ultra slow motion. Mood: Climactic and emotional. Duration: 6–7 seconds. Storyboard 9 – The Sole Survivor Visual: The lone survivor walks toward a gigantic steel vault door. It slowly opens, flooding the arena with brilliant golden sunlight. Above, masked VIP spectators silently applaud from luxurious balconies. The survivor walks into the light without looking back. Camera: Low-angle tracking shot transitioning into a massive aerial pullback. #FlovaAI #FlovaCPP | FlovaAI_Japan

Ai Arainz

79,849 views • 2 months ago

That's me all the time at home, lazy ass Seedance 2.5 on TapNow Prompt Cinematic 30-second vertical or 16:9 music-video style sequence, photorealistic, high detail, natural outdoor lighting, slightly melancholic and dreamy atmosphere, soft color grade with muted greens, concrete greys, and pastel pinks. Consistent single female character throughout every shot. Character (lock this identity): Young East-Asian woman @[Image 1](image_1), mid-20s, long straight pastel-pink hair with darker roots and lighter tips, fair skin, delicate makeup with reddish lips, slightly tired or distant expression. Wearing a light-green denim baseball cap decorated with a row of white pearls along the brim. Light-green cropped ribbed knit sweater with black ribbon bows tied along both sleeves. pink-and-white plaid flannel shirt tied around her waist. Baggy light-wash distressed jeans. Small silver necklace. Occasional black backpack in later shots. Same face, hair length, outfit, and body proportions in every scene. Shot sequence (smooth cuts, slow camera moves, 2–4 seconds each): Medium-wide: She lies on her side on weathered grey concrete stadium steps, head resting against the riser, one arm along the step, looking softly at camera. Background: empty sandy sports field and distant people. Medium: She hangs from the top white crossbar of a soccer goal, both hands gripping the bar, body dangling in front of the net, looking straight at camera. Green hills and a second goal in the background. Medium: She is inside a stainless-steel cage packed with orange basketballs, eyes closed, cheek resting on a basketball as if sleeping. Soft natural light. Medium: She reclines against a colorful red-yellow-green playground tube slide, eyes half-closed or looking down, same outfit, playground equipment and trees behind. Medium-wide: She sits still on a chain swing in a playground, looking down, legs hanging, empty swing beside her. Blue rubber flooring, red and blue poles. Medium-wide: She sits on a low concrete wall in the playground, an orange traffic cone placed on her head like a hat, staring forward with a blank expression. Colorful play structures and trees behind. Medium: Outdoor ping-pong table. She stands holding a red-and-black paddle, then leans forward and rests her head and arms on the blue table surface, paddle still in hand, looking sideways at camera. Medium close: She stands at a stainless-steel outdoor drinking fountain, presses the button, water arcs up; she leans in as if to drink, then looks down at the basin. Wide then medium: Large concrete stadium steps with metal railings and trees. She walks slowly past a black backpack on a step, stops, looks up at the sky, then sits and leans back against the steps, eyes closed or looking upward, legs extended. Camera & motion: Slow pans and gentle dollies, shallow-to-medium depth of field, natural handheld-but-stable feel. Soft overcast or late-afternoon light. Subtle wind in hair and clothes. No fast cuts, no zooms that break character consistency. Mood & audio suggestion: Quiet, introspective, slightly surreal “lost in thought” feeling. Pair with the Indonesian song snippet “Pikiranku tak dapat ku mengerti / kaki di kepala kepala di kaki…” (Peterpan / Noah – Di Atas Normal) or a similar melancholic indie track. Soft ambient outdoor sound (distant voices, wind, faint playground noise). Quality tags: Photorealistic, 4K, cinematic lighting, consistent character, natural skin texture, fabric detail on sweater and jeans, realistic physics on hanging/sitting/leaning poses.

That's me all the time at home, lazy ass Seedance 2.5 on TapNow Prompt Cinematic 30-second vertical or 16:9 music-video style sequence, photorealistic, high detail, natural outdoor lighting, slightly melancholic and dreamy atmosphere, soft color grade with muted greens, concrete greys, and pastel pinks. Consistent single female character throughout every shot. Character (lock this identity): Young East-Asian woman @[Image 1](image_1), mid-20s, long straight pastel-pink hair with darker roots and lighter tips, fair skin, delicate makeup with reddish lips, slightly tired or distant expression. Wearing a light-green denim baseball cap decorated with a row of white pearls along the brim. Light-green cropped ribbed knit sweater with black ribbon bows tied along both sleeves. pink-and-white plaid flannel shirt tied around her waist. Baggy light-wash distressed jeans. Small silver necklace. Occasional black backpack in later shots. Same face, hair length, outfit, and body proportions in every scene. Shot sequence (smooth cuts, slow camera moves, 2–4 seconds each): Medium-wide: She lies on her side on weathered grey concrete stadium steps, head resting against the riser, one arm along the step, looking softly at camera. Background: empty sandy sports field and distant people. Medium: She hangs from the top white crossbar of a soccer goal, both hands gripping the bar, body dangling in front of the net, looking straight at camera. Green hills and a second goal in the background. Medium: She is inside a stainless-steel cage packed with orange basketballs, eyes closed, cheek resting on a basketball as if sleeping. Soft natural light. Medium: She reclines against a colorful red-yellow-green playground tube slide, eyes half-closed or looking down, same outfit, playground equipment and trees behind. Medium-wide: She sits still on a chain swing in a playground, looking down, legs hanging, empty swing beside her. Blue rubber flooring, red and blue poles. Medium-wide: She sits on a low concrete wall in the playground, an orange traffic cone placed on her head like a hat, staring forward with a blank expression. Colorful play structures and trees behind. Medium: Outdoor ping-pong table. She stands holding a red-and-black paddle, then leans forward and rests her head and arms on the blue table surface, paddle still in hand, looking sideways at camera. Medium close: She stands at a stainless-steel outdoor drinking fountain, presses the button, water arcs up; she leans in as if to drink, then looks down at the basin. Wide then medium: Large concrete stadium steps with metal railings and trees. She walks slowly past a black backpack on a step, stops, looks up at the sky, then sits and leans back against the steps, eyes closed or looking upward, legs extended. Camera & motion: Slow pans and gentle dollies, shallow-to-medium depth of field, natural handheld-but-stable feel. Soft overcast or late-afternoon light. Subtle wind in hair and clothes. No fast cuts, no zooms that break character consistency. Mood & audio suggestion: Quiet, introspective, slightly surreal “lost in thought” feeling. Pair with the Indonesian song snippet “Pikiranku tak dapat ku mengerti / kaki di kepala kepala di kaki…” (Peterpan / Noah – Di Atas Normal) or a similar melancholic indie track. Soft ambient outdoor sound (distant voices, wind, faint playground noise). Quality tags: Photorealistic, 4K, cinematic lighting, consistent character, natural skin texture, fabric detail on sweater and jeans, realistic physics on hanging/sitting/leaning poses.

Sharon Riley

30,886 views • 1 month ago

Asked for an iPhone 17 Pro… he took it personally 😭🎁 Seedance 2.5 Prompt Create a 30-second photorealistic viral comedy video in 16:9 landscape. STYLE AND CAMERA: A continuous first-person POV smartphone video filmed by a young woman sitting comfortably on a sofa inside a warm, ordinary family living room connected to a kitchen. Natural indoor lighting, realistic skin texture, casual home-video quality, subtle handheld camera movement, authentic timing and reactions. Her legs are visible, wearing white pajama pants decorated with tiny green Christmas trees and red holiday figures. Keep all important actions centered inside the wide frame. Extend the room naturally on both sides; do not crop or stretch a vertical composition. 0–3 seconds: From the seated woman’s POV, her younger brother walks toward her carrying a slightly crumpled white plastic shopping bag. Only his casual clothes, hands and lower body are visible. He gives her the bag as if presenting an exciting birthday gift. The camera tilts down toward the bag with curious anticipation. 3–6 seconds: She places the bag on her lap and searches inside using both hands. Realistic plastic rustling. She discovers a tiny folded handwritten note and slowly unfolds it close to the camera. The note clearly reads: “HAPPY BIRTHDAY BIG SISTER ❤️” She pauses, touched but slightly confused. 6–9 seconds: She reaches deeper into the bag and pulls out a strange chunky blue plastic puzzle box. The box is rectangular, bright blue, with a red locking strip wrapped across the center and four round golden-yellow screw-like buttons arranged vertically. She turns it slightly in her hands, examining it with growing suspicion. 9–18 seconds: Fast but believable close-up sequence. She carefully twists and removes the four golden-yellow screws one after another: first screw comes loose with a tiny click, second screw drops into her palm, third screw takes more effort, fourth screw finally releases. Use smooth match cuts to compress the action while maintaining the same hands, box design, clothing and environment. Add increasingly playful suspense music, plastic clicking sounds and subtle comedic tension. 18–21 seconds: She slides the red locking strip completely off the blue box. A final satisfying click is heard. She grips the blue lid with both hands and slowly lifts it open, expecting an expensive phone. 21–24 seconds: Inside the blue box is only a much smaller black square gift box. She removes it and holds it close to the camera. Gold handwritten lettering on its textured lid clearly reads: “Just for you” The open blue puzzle box remains visible on her lap in the background. 24–27 seconds: She slowly opens the tiny black box. Build dramatic suspense with a rising musical sting and a half-second pause just before the lid fully opens. 27–30 seconds: A shiny golden hand making an unmistakable raised middle-finger gesture suddenly springs upward from inside the box on a metal coil. Add a loud cartoon “BOING!” sound. The camera jerks backward in shocked disbelief, then quickly moves closer to reveal the ridiculous prank. Hold the final close-up on the golden middle finger bouncing on its spring while the woman’s hands freeze in disappointment. End with a crying emoji floating briefly above the box. MOOD: Wholesome sibling birthday setup turning into an unexpected, harmless prank. Natural, relatable and genuinely funny with a strong final reveal. AUDIO: No spoken dialogue. Realistic footsteps, shopping-bag rustling, plastic clicks, screw-twisting sounds, suspenseful playful music, sudden cartoon boing and a brief comedic ending sting. IMPORTANT CONSISTENCY: Maintain exactly two feminine hands with natural anatomy throughout. Keep the blue puzzle box, red locking strip, four yellow screws, black inner box and golden spring-loaded middle-finger toy consistent in every shot. No extra fingers, duplicated objects, morphing hands, warped text, logos, subtitles, TikTok interface or watermark.

Asked for an iPhone 17 Pro… he took it personally 😭🎁 Seedance 2.5 Prompt Create a 30-second photorealistic viral comedy video in 16:9 landscape. STYLE AND CAMERA: A continuous first-person POV smartphone video filmed by a young woman sitting comfortably on a sofa inside a warm, ordinary family living room connected to a kitchen. Natural indoor lighting, realistic skin texture, casual home-video quality, subtle handheld camera movement, authentic timing and reactions. Her legs are visible, wearing white pajama pants decorated with tiny green Christmas trees and red holiday figures. Keep all important actions centered inside the wide frame. Extend the room naturally on both sides; do not crop or stretch a vertical composition. 0–3 seconds: From the seated woman’s POV, her younger brother walks toward her carrying a slightly crumpled white plastic shopping bag. Only his casual clothes, hands and lower body are visible. He gives her the bag as if presenting an exciting birthday gift. The camera tilts down toward the bag with curious anticipation. 3–6 seconds: She places the bag on her lap and searches inside using both hands. Realistic plastic rustling. She discovers a tiny folded handwritten note and slowly unfolds it close to the camera. The note clearly reads: “HAPPY BIRTHDAY BIG SISTER ❤️” She pauses, touched but slightly confused. 6–9 seconds: She reaches deeper into the bag and pulls out a strange chunky blue plastic puzzle box. The box is rectangular, bright blue, with a red locking strip wrapped across the center and four round golden-yellow screw-like buttons arranged vertically. She turns it slightly in her hands, examining it with growing suspicion. 9–18 seconds: Fast but believable close-up sequence. She carefully twists and removes the four golden-yellow screws one after another: first screw comes loose with a tiny click, second screw drops into her palm, third screw takes more effort, fourth screw finally releases. Use smooth match cuts to compress the action while maintaining the same hands, box design, clothing and environment. Add increasingly playful suspense music, plastic clicking sounds and subtle comedic tension. 18–21 seconds: She slides the red locking strip completely off the blue box. A final satisfying click is heard. She grips the blue lid with both hands and slowly lifts it open, expecting an expensive phone. 21–24 seconds: Inside the blue box is only a much smaller black square gift box. She removes it and holds it close to the camera. Gold handwritten lettering on its textured lid clearly reads: “Just for you” The open blue puzzle box remains visible on her lap in the background. 24–27 seconds: She slowly opens the tiny black box. Build dramatic suspense with a rising musical sting and a half-second pause just before the lid fully opens. 27–30 seconds: A shiny golden hand making an unmistakable raised middle-finger gesture suddenly springs upward from inside the box on a metal coil. Add a loud cartoon “BOING!” sound. The camera jerks backward in shocked disbelief, then quickly moves closer to reveal the ridiculous prank. Hold the final close-up on the golden middle finger bouncing on its spring while the woman’s hands freeze in disappointment. End with a crying emoji floating briefly above the box. MOOD: Wholesome sibling birthday setup turning into an unexpected, harmless prank. Natural, relatable and genuinely funny with a strong final reveal. AUDIO: No spoken dialogue. Realistic footsteps, shopping-bag rustling, plastic clicks, screw-twisting sounds, suspenseful playful music, sudden cartoon boing and a brief comedic ending sting. IMPORTANT CONSISTENCY: Maintain exactly two feminine hands with natural anatomy throughout. Keep the blue puzzle box, red locking strip, four yellow screws, black inner box and golden spring-loaded middle-finger toy consistent in every shot. No extra fingers, duplicated objects, morphing hands, warped text, logos, subtitles, TikTok interface or watermark.

BMX

18,186 views • 1 month ago

THE DRAGON STOLE MY DINNER Pure cinematic chaos created with Seedance 2.5 on ImagineArt ImagineArt Creators Hollywood-style fantasy comedy, made with AI Prompt👇🏻 30 SECONDS | 16:9 | 30 FPS Cinematic fantasy short film, photorealistic detail, warm golden-hour light, rich film color grading, shallow depth of field, smooth camera movement, natural motion blur, heartwarming comedy. CHARACTERS: 1. A young woman with messy wavy blonde hair, thin round glasses, a cream linen blouse with rolled sleeves, and a dark brown pinafore apron dress. Expressive, funny, warm face. 2. Her enormous, horse-sized pet baby dragon with white-cream scales covered in pink-magenta patterns, soft pink crest spikes, huge amber eyes with vertical pupils, and a gentle snout. Mischievous, affectionate, puppy-like behavior. SETTING: Rustic medieval cottage courtyard with a stone oven, wooden table, hanging herbs, stacked firewood, low stone wall, and rolling green hills. Cozy kitchen interior with wooden furniture, candles, and golden sunlight. 0–3s: EXTREME CLOSE-UP: a perfectly roasted, juicy piece of meat hangs from a skewer inches from the woman's mouth. Suddenly, a giant pink-patterned dragon tongue shoots into frame and steals it. Whip-pan to the woman frozen mid-bite, mouth open in disbelief. The dragon chews innocently behind her. 3–6s: She slowly turns toward the dragon, raises one accusing finger, and demands her dinner back. The dragon's enormous amber eyes widen. It swallows dramatically. A tiny puff of smoke escapes its nostrils. 6–9s: The dragon suddenly hiccups. A violent burst of fire shoots upward, igniting the laundry hanging above the courtyard. The woman screams and dives for a bucket as flaming clothes rain down around them. 9–12s: Fast tracking shot: she splashes water everywhere, slips on the wet stones, and lands sitting in a wooden laundry basket. The dragon rushes over to help, accidentally knocking the basket across the courtyard with its snout. 12–15s: The basket stops against the stone wall. She emerges with tangled laundry draped over her head like a ridiculous royal crown. The dragon tilts its head, then gives her an enormous affectionate lick across the face. She wipes her cheek, trying desperately not to laugh. 15–18s: CUT TO THE KITCHEN. She places a tiny piece of meat on a skewer and holds it up like a strict cooking instructor. The dragon sits obediently beside her, wings tucked in, eyes fixed on the food. She demonstrates a tiny flame with her fingers. 18–21s: MACRO CLOSE-UP: the dragon carefully releases the smallest flame imaginable. The meat sizzles perfectly. Its amber eye reflects the golden fire. The woman beams with pride and gives a thumbs-up. 21–25s: She proudly places the cooked meat on a plate. Before she can taste it, the dragon delicately picks up the entire plate with its tongue and swallows everything in one gulp. Silence. The woman's smile disappears. 25–30s: WIDE SHOT: the dragon immediately curls up beside her, resting its enormous head in her lap and purring like a giant cat. She stares at the camera in exhausted disbelief, then scratches behind its pink crest. The dragon closes its eyes happily. She mutters, “Tomorrow, we're eating vegetables.” The dragon opens one eye, horrified. HOLD on her wicked grin. STYLE: Premium cinematic fantasy, lifelike textures, believable dragon anatomy, natural facial expressions, detailed scales, realistic fire and steam, warm amber light, expressive comedic timing, polished theatrical-quality storytelling. No plastic CGI appearance, no exaggerated cartoon physics except the dragon's playful personality. AUDIO: Gentle fantasy folk music with strings and flute, sudden comedic music stops, wet tongue swipe, loud swallow, fiery hiccup, crackling flames, splashing water, wooden basket scraping, dragon purrs, expressive laughter, and clear natural dialogue. End with a short comedic musical sting. #ImagineArt

THE DRAGON STOLE MY DINNER Pure cinematic chaos created with Seedance 2.5 on ImagineArt ImagineArt Creators Hollywood-style fantasy comedy, made with AI Prompt👇🏻 30 SECONDS | 16:9 | 30 FPS Cinematic fantasy short film, photorealistic detail, warm golden-hour light, rich film color grading, shallow depth of field, smooth camera movement, natural motion blur, heartwarming comedy. CHARACTERS: 1. A young woman with messy wavy blonde hair, thin round glasses, a cream linen blouse with rolled sleeves, and a dark brown pinafore apron dress. Expressive, funny, warm face. 2. Her enormous, horse-sized pet baby dragon with white-cream scales covered in pink-magenta patterns, soft pink crest spikes, huge amber eyes with vertical pupils, and a gentle snout. Mischievous, affectionate, puppy-like behavior. SETTING: Rustic medieval cottage courtyard with a stone oven, wooden table, hanging herbs, stacked firewood, low stone wall, and rolling green hills. Cozy kitchen interior with wooden furniture, candles, and golden sunlight. 0–3s: EXTREME CLOSE-UP: a perfectly roasted, juicy piece of meat hangs from a skewer inches from the woman's mouth. Suddenly, a giant pink-patterned dragon tongue shoots into frame and steals it. Whip-pan to the woman frozen mid-bite, mouth open in disbelief. The dragon chews innocently behind her. 3–6s: She slowly turns toward the dragon, raises one accusing finger, and demands her dinner back. The dragon's enormous amber eyes widen. It swallows dramatically. A tiny puff of smoke escapes its nostrils. 6–9s: The dragon suddenly hiccups. A violent burst of fire shoots upward, igniting the laundry hanging above the courtyard. The woman screams and dives for a bucket as flaming clothes rain down around them. 9–12s: Fast tracking shot: she splashes water everywhere, slips on the wet stones, and lands sitting in a wooden laundry basket. The dragon rushes over to help, accidentally knocking the basket across the courtyard with its snout. 12–15s: The basket stops against the stone wall. She emerges with tangled laundry draped over her head like a ridiculous royal crown. The dragon tilts its head, then gives her an enormous affectionate lick across the face. She wipes her cheek, trying desperately not to laugh. 15–18s: CUT TO THE KITCHEN. She places a tiny piece of meat on a skewer and holds it up like a strict cooking instructor. The dragon sits obediently beside her, wings tucked in, eyes fixed on the food. She demonstrates a tiny flame with her fingers. 18–21s: MACRO CLOSE-UP: the dragon carefully releases the smallest flame imaginable. The meat sizzles perfectly. Its amber eye reflects the golden fire. The woman beams with pride and gives a thumbs-up. 21–25s: She proudly places the cooked meat on a plate. Before she can taste it, the dragon delicately picks up the entire plate with its tongue and swallows everything in one gulp. Silence. The woman's smile disappears. 25–30s: WIDE SHOT: the dragon immediately curls up beside her, resting its enormous head in her lap and purring like a giant cat. She stares at the camera in exhausted disbelief, then scratches behind its pink crest. The dragon closes its eyes happily. She mutters, “Tomorrow, we're eating vegetables.” The dragon opens one eye, horrified. HOLD on her wicked grin. STYLE: Premium cinematic fantasy, lifelike textures, believable dragon anatomy, natural facial expressions, detailed scales, realistic fire and steam, warm amber light, expressive comedic timing, polished theatrical-quality storytelling. No plastic CGI appearance, no exaggerated cartoon physics except the dragon's playful personality. AUDIO: Gentle fantasy folk music with strings and flute, sudden comedic music stops, wet tongue swipe, loud swallow, fiery hiccup, crackling flames, splashing water, wooden basket scraping, dragon purrs, expressive laughter, and clear natural dialogue. End with a short comedic musical sting. #ImagineArt

ÀBDŪLLÂH

20,194 views • 7 days ago

Made this cinematic sequence using Seedance 2.5 The realism, camera movements, water physics, explosions, and intense atmosphere are on another level. AI video generation is getting seriously cinematic. Prompt ⤵️ Create a 30-second ultra-realistic cinematic disaster sequence with a dark, intense, Hollywood-blockbuster atmosphere. Main character: A young woman with short, messy dark hair, wearing a soaked white T-shirt and light-colored shorts. Keep her appearance consistent throughout the entire video. Her face should remain realistic and expressive, showing fear, shock, exhaustion, and determination. Scene 1 — 0–5 seconds: Open with an extreme close-up of the woman running toward the camera through a dark industrial shipping yard at night. Heavy rain is falling, her hair and clothes are completely wet, and she is breathing heavily. Behind her, bright industrial lights glow through thick smoke and mist. The camera moves backward smoothly while maintaining focus on her face. Add realistic rain droplets on the camera lens, dramatic backlighting, atmospheric fog, and handheld cinematic movement. Scene 2 — 5–10 seconds: Cut to a wider shot as she runs through the flooded container yard. Large shipping containers surround her, emergency lights flash in the distance, and explosions/fire erupt behind her. She looks over her shoulder in panic while continuing to run. Water splashes dramatically around her legs with every step. Use realistic fire, smoke, debris, rain, and volumetric lighting. Scene 3 — 10–15 seconds: She suddenly loses her balance and falls into the flooded ground. Show the impact in slow motion for a moment, with water splashing around her. She quickly pushes herself back up while terrified people run in the background. A massive wave of smoke, debris, and water moves through the shipping yard behind them. Use a low-angle camera close to the ground for a powerful disaster-movie perspective. Scene 4 — 15–21 seconds: She gets back on her feet and starts sprinting toward safety. The camera tracks alongside her at high speed. Containers shake, debris flies through the air, vehicles and objects are pushed around by the powerful force behind her. Keep her face and body consistent. Alternate between close-ups of her frightened expression and wide shots showing the enormous scale of destruction. Scene 5 — 21–25 seconds: She reaches a large modern building filled with terrified people. The camera follows her inside as everyone rushes toward safety. People are falling, crawling, and helping each other while water and debris can be seen outside through the entrance. The lighting changes from cold blue-gray exterior lighting to dramatic warm interior lighting. Scene 6 — 25–30 seconds: Suddenly transition to a massive luxury yacht in the middle of a violent ocean. Huge dark waves surround the vessel under a stormy sky. The camera starts behind the yacht and slowly reveals an enormous shark-like sea creature emerging from the ocean directly behind it, creating a terrifying final reveal. The creature rises through the waves with water cascading from its body. End with a gigantic wave crashing toward the yacht. Visual style: photorealistic Hollywood disaster film, cinematic color grading, realistic skin texture, physically accurate water and rain, volumetric fog, dramatic practical lighting, realistic fire and smoke, detailed environments, natural motion blur, shallow depth of field, dynamic camera movement, high contrast, atmospheric storm clouds, extremely detailed CGI, 4K cinematic quality. Camera: mixture of handheld close-ups, smooth tracking shots, wide establishing shots, low-angle disaster shots, slow-motion impact moments, and dramatic aerial/wide shots. Sound design: heavy rainfall, thunder, distant explosions, sirens, screaming crowds, footsteps splashing through water, crashing metal, deep cinematic bass, roaring waves, and an intense rising orchestral score that builds toward the final creature reveal.

Made this cinematic sequence using Seedance 2.5 The realism, camera movements, water physics, explosions, and intense atmosphere are on another level. AI video generation is getting seriously cinematic. Prompt ⤵️ Create a 30-second ultra-realistic cinematic disaster sequence with a dark, intense, Hollywood-blockbuster atmosphere. Main character: A young woman with short, messy dark hair, wearing a soaked white T-shirt and light-colored shorts. Keep her appearance consistent throughout the entire video. Her face should remain realistic and expressive, showing fear, shock, exhaustion, and determination. Scene 1 — 0–5 seconds: Open with an extreme close-up of the woman running toward the camera through a dark industrial shipping yard at night. Heavy rain is falling, her hair and clothes are completely wet, and she is breathing heavily. Behind her, bright industrial lights glow through thick smoke and mist. The camera moves backward smoothly while maintaining focus on her face. Add realistic rain droplets on the camera lens, dramatic backlighting, atmospheric fog, and handheld cinematic movement. Scene 2 — 5–10 seconds: Cut to a wider shot as she runs through the flooded container yard. Large shipping containers surround her, emergency lights flash in the distance, and explosions/fire erupt behind her. She looks over her shoulder in panic while continuing to run. Water splashes dramatically around her legs with every step. Use realistic fire, smoke, debris, rain, and volumetric lighting. Scene 3 — 10–15 seconds: She suddenly loses her balance and falls into the flooded ground. Show the impact in slow motion for a moment, with water splashing around her. She quickly pushes herself back up while terrified people run in the background. A massive wave of smoke, debris, and water moves through the shipping yard behind them. Use a low-angle camera close to the ground for a powerful disaster-movie perspective. Scene 4 — 15–21 seconds: She gets back on her feet and starts sprinting toward safety. The camera tracks alongside her at high speed. Containers shake, debris flies through the air, vehicles and objects are pushed around by the powerful force behind her. Keep her face and body consistent. Alternate between close-ups of her frightened expression and wide shots showing the enormous scale of destruction. Scene 5 — 21–25 seconds: She reaches a large modern building filled with terrified people. The camera follows her inside as everyone rushes toward safety. People are falling, crawling, and helping each other while water and debris can be seen outside through the entrance. The lighting changes from cold blue-gray exterior lighting to dramatic warm interior lighting. Scene 6 — 25–30 seconds: Suddenly transition to a massive luxury yacht in the middle of a violent ocean. Huge dark waves surround the vessel under a stormy sky. The camera starts behind the yacht and slowly reveals an enormous shark-like sea creature emerging from the ocean directly behind it, creating a terrifying final reveal. The creature rises through the waves with water cascading from its body. End with a gigantic wave crashing toward the yacht. Visual style: photorealistic Hollywood disaster film, cinematic color grading, realistic skin texture, physically accurate water and rain, volumetric fog, dramatic practical lighting, realistic fire and smoke, detailed environments, natural motion blur, shallow depth of field, dynamic camera movement, high contrast, atmospheric storm clouds, extremely detailed CGI, 4K cinematic quality. Camera: mixture of handheld close-ups, smooth tracking shots, wide establishing shots, low-angle disaster shots, slow-motion impact moments, and dramatic aerial/wide shots. Sound design: heavy rainfall, thunder, distant explosions, sirens, screaming crowds, footsteps splashing through water, crashing metal, deep cinematic bass, roaring waves, and an intense rising orchestral score that builds toward the final creature reveal.

Noor 🌸

23,748 views • 2 months ago

If these guys can party like this… what’s stopping us? 😂🐒🍻 They clearly know something we don’t. 💀🔥 Happy Weekend all! 😎👊💥 🎥 Powered by Seedance 2.5 in Higgsfield AI 🧩 Prompt 👇 Vertical 9:16 photoreal smartphone footage filmed by someone dancing inside a baby rhesus macaque house party at 3am, in a dark velvet lounge, phone flash on. Direct on-camera flash is the only light: bright, crisp, punchy light on the babies, fur glowing, vivid saturated colours, strong contrast, deep black shadows, the room falling off into darkness a few feet behind them. Deep crimson velvet curtains and a red velvet sofa just visible in the dark, wooden crates, a lounge mirror, a glowing red EXIT sign, a black PA speaker cabinet. Cigarette smoke lit up white by the flash. Phone grain, motion blur on fast moves, flash flickers on the beat, candid party-phone-video look. Tall vertical framing: subjects stacked up the frame, tight close-ups filling the height, low angles looking up. Cast: real infant rhesus macaques only, a few weeks old, tiny enough to sit in one adult hand, oversized heads, huge dark eyes, pink faces, soft short baby fur, delicate hands. Never adult size. Every baby wears baggy brightly coloured cartoon trousers that fully cover them from the waist to the ankles: polka dots, stripes, and clown checks, comically too big, sagging and twisted. A small party: a pale golden baby, a dark charcoal baby, a warm tan baby, a grey-brown baby, one slightly bigger reddish-brown baby who is the life of the party, one round silver-grey baby, and a smaller olive-brown baby. They party like clumsy tiny humans: standing upright, swaying, raising little hands, bobbing heads, arms around shoulders, cheersing tiny cups. Faces stay cool, half-lidded and deadpan while the bodies go wild. Every shot is a small group of at most five. Nobody is bare from the waist down. Extra mismatched clothes, worn badly: - The reddish-brown baby wears oversized black sunglasses crooked on its face, slipping down its nose, plus baggy red polka-dot trousers. - The dark charcoal baby has a tiny baseball cap on backwards and sideways, brim flopping, plus baggy blue striped trousers. - The warm tan baby is tangled in a doll-sized button-down shirt worn inside out, one sleeve hanging empty, plus baggy yellow check trousers. - The pale golden baby has one tiny mismatched sock and a thin chain tangled in its fur, plus baggy green spotted trousers. - The rest wear only the baggy cartoon trousers. Clothes slip and hang wrong. Camera: the phone is held upright by someone dancing at baby-monkey height. It never stays still. It bounces on the beat, sways, whip-pans, punch-in zooms, Dutch angles, and pushes into faces. Motion blur on fast moves. Hard cuts on the beat. Shots, 30 seconds: 0–1.2s: phone bouncing, tall close-up on the warm tan baby standing upright, inside-out shirt with one empty sleeve swinging, baggy yellow trousers sagging, head bobbing, a tiny cigarette in its mouth, smoke trailing up; whip pan out. 1.2–2.8s: swing in on four babies standing on their hind legs, arms around each other, all in baggy cartoon trousers: pale golden one smoking, dark charcoal one with the backwards cap sliding off and a tiny shot glass balanced on its head, warm tan one in the crooked shirt, grey-brown one lower in frame staring blankly into the lens while its body keeps swaying; punch-in on the stare. 2.8–4.2s: Dutch-angle: the reddish-brown baby, sunglasses slipping, red polka-dot trousers, raises a tiny clear cup to cheers the camera, then sips; behind it the pale golden one on a wooden crate, red velvet curtains, EXIT sign near the top of frame. 4.2–5.4s: slow push across five babies standing close, swaying in place in their baggy trousers, little hands raised, flash on their faces; no jumping, no crowd. 5.4–6.6s: whip pan to the olive-brown baby swaying upright in striped trousers, tiny cigarette in its mouth, shoulder shimmy, camera bouncing with it. 6.6–8.4s: slow orbit around the warm tan one and the dark charcoal one swaying close, arms on shoulders, both smoking, empty sleeve and slipping cap swinging, baggy trousers sagging. 8.4–10.4s: low angle looking up: the reddish-brown baby tips its head back and chugs from the tiny clear cup, sunglasses sliding to the tip of its nose, two or three others beside it raising their hands; pale golden one on a crate beside a plate of snacks, red velvet sofa. 10.4–11.8s: punch-in on the round silver-grey baby in clown-check trousers, swaying in place, hands waving, deadpan face. 11.8–13.2s: whip pan along the red velvet sofa: three babies standing on the cushions swaying, the grey-brown one with eyes half-closed, the charcoal one's cap nearly falling off. 13.2–14.6s: low angle from behind the reddish-brown baby standing on the black speaker, both little hands pumping, sunglasses crooked, polka-dot trousers sagging; camera tilts up. 14.6–16s: the camera drifts through five babies standing close and swaying, bumping lightly, baggy trousers and cigarette smoke in the flash; no jumping. 16–17.6s: charcoal and warm tan sway side by side under the EXIT sign, smoking, head-bopping, cap and empty sleeve moving with them; camera sways with them. 17.6–20s: push-in on the reddish-brown baby chugging, head tipped all the way back, cup upside down, sunglasses falling off, two others beside it raising their hands; camera shakes. 20–21.6s: a baby in red polka-dot trousers and crooked sunglasses leans into a lounge mirror and tries to look cool, then startles at its own reflection and waves at it, cigarette bobbing in its mouth. 21.6–23.2s: two babies attempt a handshake, miss, bonk foreheads, then laugh with their mouths wide open and throw their little arms around each other, caps and trousers slipping. 23.2–24.8s: one baby in striped trousers slides down the red velvet sofa cushion on its bottom like a tiny slide, cigarette in its mouth, arms up, and lands in another baby's lap. 24.8–26.4s: a baby on a crate conducts the others with a lit cigarette like a tiny baton, baggy yellow trousers sagging, while three babies in front sway completely off the beat. 26.4–28s: two babies try to trade hats, the baseball cap ends up on the wrong head sideways, sunglasses end up on the cap, both freeze and stare at the camera, deadpan. 28–30s: the reddish-brown baby in polka-dot trousers spins once holding a tiny plastic cup, loses its balance, plops onto the speaker, sunglasses fall into the cup, and it takes a victorious sip anyway while the others clap. Upbeat house track with a pitched-down vocal, muffled party ambience and cheering. Cigarettes held only in mouths, tiny, scaled to the babies. The cup stays a separate rigid object held in the hand, rim touching only the mouth, never merging with the hand, mouth, face, sunglasses or fur. The shot glass sits on the fur of the head and wobbles. Every baby is fully dressed from the waist down in baggy cartoon trousers in every frame. Real infant rhesus anatomy: tiny bodies, oversized heads, pink faces, proper hands and feet, no extra limbs, no adult macaques. No static shots, no locked-off camera, no smooth gimbal moves, no jumping crowds. No muted colour grade, no soft cinematic film look, no teal wash, no plywood walls, no laser or stage lights, no morphing, no text, no watermark, no subtitles.

If these guys can party like this… what’s stopping us? 😂🐒🍻 They clearly know something we don’t. 💀🔥 Happy Weekend all! 😎👊💥 🎥 Powered by Seedance 2.5 in Higgsfield AI 🧩 Prompt 👇 Vertical 9:16 photoreal smartphone footage filmed by someone dancing inside a baby rhesus macaque house party at 3am, in a dark velvet lounge, phone flash on. Direct on-camera flash is the only light: bright, crisp, punchy light on the babies, fur glowing, vivid saturated colours, strong contrast, deep black shadows, the room falling off into darkness a few feet behind them. Deep crimson velvet curtains and a red velvet sofa just visible in the dark, wooden crates, a lounge mirror, a glowing red EXIT sign, a black PA speaker cabinet. Cigarette smoke lit up white by the flash. Phone grain, motion blur on fast moves, flash flickers on the beat, candid party-phone-video look. Tall vertical framing: subjects stacked up the frame, tight close-ups filling the height, low angles looking up. Cast: real infant rhesus macaques only, a few weeks old, tiny enough to sit in one adult hand, oversized heads, huge dark eyes, pink faces, soft short baby fur, delicate hands. Never adult size. Every baby wears baggy brightly coloured cartoon trousers that fully cover them from the waist to the ankles: polka dots, stripes, and clown checks, comically too big, sagging and twisted. A small party: a pale golden baby, a dark charcoal baby, a warm tan baby, a grey-brown baby, one slightly bigger reddish-brown baby who is the life of the party, one round silver-grey baby, and a smaller olive-brown baby. They party like clumsy tiny humans: standing upright, swaying, raising little hands, bobbing heads, arms around shoulders, cheersing tiny cups. Faces stay cool, half-lidded and deadpan while the bodies go wild. Every shot is a small group of at most five. Nobody is bare from the waist down. Extra mismatched clothes, worn badly: - The reddish-brown baby wears oversized black sunglasses crooked on its face, slipping down its nose, plus baggy red polka-dot trousers. - The dark charcoal baby has a tiny baseball cap on backwards and sideways, brim flopping, plus baggy blue striped trousers. - The warm tan baby is tangled in a doll-sized button-down shirt worn inside out, one sleeve hanging empty, plus baggy yellow check trousers. - The pale golden baby has one tiny mismatched sock and a thin chain tangled in its fur, plus baggy green spotted trousers. - The rest wear only the baggy cartoon trousers. Clothes slip and hang wrong. Camera: the phone is held upright by someone dancing at baby-monkey height. It never stays still. It bounces on the beat, sways, whip-pans, punch-in zooms, Dutch angles, and pushes into faces. Motion blur on fast moves. Hard cuts on the beat. Shots, 30 seconds: 0–1.2s: phone bouncing, tall close-up on the warm tan baby standing upright, inside-out shirt with one empty sleeve swinging, baggy yellow trousers sagging, head bobbing, a tiny cigarette in its mouth, smoke trailing up; whip pan out. 1.2–2.8s: swing in on four babies standing on their hind legs, arms around each other, all in baggy cartoon trousers: pale golden one smoking, dark charcoal one with the backwards cap sliding off and a tiny shot glass balanced on its head, warm tan one in the crooked shirt, grey-brown one lower in frame staring blankly into the lens while its body keeps swaying; punch-in on the stare. 2.8–4.2s: Dutch-angle: the reddish-brown baby, sunglasses slipping, red polka-dot trousers, raises a tiny clear cup to cheers the camera, then sips; behind it the pale golden one on a wooden crate, red velvet curtains, EXIT sign near the top of frame. 4.2–5.4s: slow push across five babies standing close, swaying in place in their baggy trousers, little hands raised, flash on their faces; no jumping, no crowd. 5.4–6.6s: whip pan to the olive-brown baby swaying upright in striped trousers, tiny cigarette in its mouth, shoulder shimmy, camera bouncing with it. 6.6–8.4s: slow orbit around the warm tan one and the dark charcoal one swaying close, arms on shoulders, both smoking, empty sleeve and slipping cap swinging, baggy trousers sagging. 8.4–10.4s: low angle looking up: the reddish-brown baby tips its head back and chugs from the tiny clear cup, sunglasses sliding to the tip of its nose, two or three others beside it raising their hands; pale golden one on a crate beside a plate of snacks, red velvet sofa. 10.4–11.8s: punch-in on the round silver-grey baby in clown-check trousers, swaying in place, hands waving, deadpan face. 11.8–13.2s: whip pan along the red velvet sofa: three babies standing on the cushions swaying, the grey-brown one with eyes half-closed, the charcoal one's cap nearly falling off. 13.2–14.6s: low angle from behind the reddish-brown baby standing on the black speaker, both little hands pumping, sunglasses crooked, polka-dot trousers sagging; camera tilts up. 14.6–16s: the camera drifts through five babies standing close and swaying, bumping lightly, baggy trousers and cigarette smoke in the flash; no jumping. 16–17.6s: charcoal and warm tan sway side by side under the EXIT sign, smoking, head-bopping, cap and empty sleeve moving with them; camera sways with them. 17.6–20s: push-in on the reddish-brown baby chugging, head tipped all the way back, cup upside down, sunglasses falling off, two others beside it raising their hands; camera shakes. 20–21.6s: a baby in red polka-dot trousers and crooked sunglasses leans into a lounge mirror and tries to look cool, then startles at its own reflection and waves at it, cigarette bobbing in its mouth. 21.6–23.2s: two babies attempt a handshake, miss, bonk foreheads, then laugh with their mouths wide open and throw their little arms around each other, caps and trousers slipping. 23.2–24.8s: one baby in striped trousers slides down the red velvet sofa cushion on its bottom like a tiny slide, cigarette in its mouth, arms up, and lands in another baby's lap. 24.8–26.4s: a baby on a crate conducts the others with a lit cigarette like a tiny baton, baggy yellow trousers sagging, while three babies in front sway completely off the beat. 26.4–28s: two babies try to trade hats, the baseball cap ends up on the wrong head sideways, sunglasses end up on the cap, both freeze and stare at the camera, deadpan. 28–30s: the reddish-brown baby in polka-dot trousers spins once holding a tiny plastic cup, loses its balance, plops onto the speaker, sunglasses fall into the cup, and it takes a victorious sip anyway while the others clap. Upbeat house track with a pitched-down vocal, muffled party ambience and cheering. Cigarettes held only in mouths, tiny, scaled to the babies. The cup stays a separate rigid object held in the hand, rim touching only the mouth, never merging with the hand, mouth, face, sunglasses or fur. The shot glass sits on the fur of the head and wobbles. Every baby is fully dressed from the waist down in baggy cartoon trousers in every frame. Real infant rhesus anatomy: tiny bodies, oversized heads, pink faces, proper hands and feet, no extra limbs, no adult macaques. No static shots, no locked-off camera, no smooth gimbal moves, no jumping crowds. No muted colour grade, no soft cinematic film look, no teal wash, no plywood walls, no laser or stage lights, no morphing, no text, no watermark, no subtitles.

Syed Abuthahir ∞

32,429 views • 15 days ago