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seedance 2.5 early 2000s test: ------------------------------------ Generate a fast, energetic montage set at an outdoor pool party in the style of an early 2000s TV show. The footage should feel like it was shot for a teen drama / reality-TV / lifestyle series from the early 2000s — playful, chaotic, youthful, sun-drenched, and slightly messy in a charming way. CAMERA STYLE: true early-2000s handheld DV / broadcast camcorder aesthetic. Use the kind of camera commonly used for behind-the-scenes TV, MTV-style coverage, reality shows, or teen pool-party montage footage from that era. The camera should feel physically operated by a person walking through the party: shaky handheld movement, imperfect framing, quick pans, sudden zoom-ins and zoom-outs, loose reframing, small exposure shifts, slight autofocus hunting, occasional overexposed highlights, rolling movement, and imperfect reactions to the action. No modern cinematic gimbal smoothness. No robotic motion. No polished high-end commercial feel. LOOK: early digital video image quality. Slightly soft detail, baked-in camcorder sharpness, bright blown highlights in the sun, mild video noise, slight interlacing / DV texture feel, saturated summer colors, warm skin tones, punchy pool blues, glossy sunscreen skin, and a nostalgic 2000s television vibe. The footage should feel like archived network TV pool-party coverage from around 2001–2006. SETTING: daytime outdoor pool party at a big suburban or resort-style house. Bright sun, clear sky, palm trees or lush greenery, lounge chairs, towels, coolers, plastic cups, floaties, people sitting on the edge of the pool, groups talking, music playing, people jumping in the water, dancing, laughing, flirting, splashing, and hanging around the patio. MONTAGE CONTENT: capture lots of quick, cuttable handheld shots from different angles and distances. Include: wide shots of the full pool party, medium handheld walk-bys through groups of people, close-ups of drinks clinking, girls laughing, guys hyping each other up, feet kicking water, people jumping into the pool, splashes hitting the lens, quick zooms onto funny moments, people dancing near the pool, someone adjusting sunglasses, floaties drifting, someone cannonballing into the water, friends reacting and cheering, casual flirting, towels and bags scattered around, poolside conversations, and spontaneous party moments. Make the montage feel busy and real, like a highlight sequence from an episode. SHOT LANGUAGE: lots of short handheld shots that feel easy to cut together. Mix wide establishing shots, medium coverage, close-up reaction shots, splashy inserts, and little candid moments. Include snap zooms, whip pans, quick push-ins, brief rack-focus imperfections, and operator reactions to surprising or fun moments. The operator should sometimes arrive a beat late or reframe sloppily in a way that feels authentic to the time period. TONE: fun, carefree, slightly chaotic, flirty, youthful, summery, nostalgic. It should feel like “last day of school / pool party episode / spring break montage” energy from an early 2000s TV show. IMPORTANT: keep the footage outside the whole time. No indoor scenes. No modern influencer aesthetic. No ultra-clean 4K commercial polish. This should feel authentically early-2000s TV coverage with handheld camcorder energy. No dialogue required, or only indistinct background chatter. Focus on visuals, reactions, party atmosphere, splashing water, and nostalgic early-2000s television montage energy.

seedance 2.5 early 2000s test: ------------------------------------ Generate a fast, energetic montage set at an outdoor pool party in the style of an early 2000s TV show. The footage should feel like it was shot for a teen drama / reality-TV / lifestyle series from the early 2000s — playful, chaotic, youthful, sun-drenched, and slightly messy in a charming way. CAMERA STYLE: true early-2000s handheld DV / broadcast camcorder aesthetic. Use the kind of camera commonly used for behind-the-scenes TV, MTV-style coverage, reality shows, or teen pool-party montage footage from that era. The camera should feel physically operated by a person walking through the party: shaky handheld movement, imperfect framing, quick pans, sudden zoom-ins and zoom-outs, loose reframing, small exposure shifts, slight autofocus hunting, occasional overexposed highlights, rolling movement, and imperfect reactions to the action. No modern cinematic gimbal smoothness. No robotic motion. No polished high-end commercial feel. LOOK: early digital video image quality. Slightly soft detail, baked-in camcorder sharpness, bright blown highlights in the sun, mild video noise, slight interlacing / DV texture feel, saturated summer colors, warm skin tones, punchy pool blues, glossy sunscreen skin, and a nostalgic 2000s television vibe. The footage should feel like archived network TV pool-party coverage from around 2001–2006. SETTING: daytime outdoor pool party at a big suburban or resort-style house. Bright sun, clear sky, palm trees or lush greenery, lounge chairs, towels, coolers, plastic cups, floaties, people sitting on the edge of the pool, groups talking, music playing, people jumping in the water, dancing, laughing, flirting, splashing, and hanging around the patio. MONTAGE CONTENT: capture lots of quick, cuttable handheld shots from different angles and distances. Include: wide shots of the full pool party, medium handheld walk-bys through groups of people, close-ups of drinks clinking, girls laughing, guys hyping each other up, feet kicking water, people jumping into the pool, splashes hitting the lens, quick zooms onto funny moments, people dancing near the pool, someone adjusting sunglasses, floaties drifting, someone cannonballing into the water, friends reacting and cheering, casual flirting, towels and bags scattered around, poolside conversations, and spontaneous party moments. Make the montage feel busy and real, like a highlight sequence from an episode. SHOT LANGUAGE: lots of short handheld shots that feel easy to cut together. Mix wide establishing shots, medium coverage, close-up reaction shots, splashy inserts, and little candid moments. Include snap zooms, whip pans, quick push-ins, brief rack-focus imperfections, and operator reactions to surprising or fun moments. The operator should sometimes arrive a beat late or reframe sloppily in a way that feels authentic to the time period. TONE: fun, carefree, slightly chaotic, flirty, youthful, summery, nostalgic. It should feel like “last day of school / pool party episode / spring break montage” energy from an early 2000s TV show. IMPORTANT: keep the footage outside the whole time. No indoor scenes. No modern influencer aesthetic. No ultra-clean 4K commercial polish. This should feel authentically early-2000s TV coverage with handheld camcorder energy. No dialogue required, or only indistinct background chatter. Focus on visuals, reactions, party atmosphere, splashing water, and nostalgic early-2000s television montage energy.

170,434 views

i can't believe this is how far ai video has come... seedance 2.5, prompt: Prompt: Create a 30-second ultra-realistic candid home-video sequence of an elderly Korean man in his mid-70s living an ordinary late morning in a quiet Korean residential neighborhood. SUBJECT: Elderly Korean man, natural everyday appearance, realistic weathered skin texture, deep smile lines and age spots, short thinning grey hair neatly combed back, slightly stooped but sturdy posture. Loose beige button-up short-sleeve shirt, dark grey slacks worn slightly high on the waist, brown leather sandals over thin grey socks, simple metal wristwatch. Warm, unhurried personality. Keep his face, body, hairstyle, clothing, and appearance perfectly consistent throughout. SETTING: Authentic Korean residential neighborhood — narrow concrete alleys, low-rise homes, small terraces, potted plants, laundry lines, bicycles, utility poles, overhead wires and mature trees. Quiet, lived-in atmosphere. No shops, advertisements, crowds, cafés, or commercial activity. VISUAL STYLE: Ultra-realistic documentary home-video footage from an early-2000s consumer DV camcorder. Imperfect handheld operation, natural camera shake, awkward framing, occasional reframing, autofocus hunting, slight lens breathing, exposure pumping between sunlight and shade, subtle motion blur, mild rolling shutter, faded colors, soft contrast, slight digital compression and sensor noise. No stabilization, no cinematic camera moves, no modern color grading. Everything must feel genuinely captured, not AI-generated. TIMELINE: 00:00–00:05 — Outside his small house, he sits on a low concrete wall slowly fanning himself with a folded newspaper. Wind moves the leaves above him. He squints slightly into the light and gives a small easy smile while the camera struggles to lock focus. 00:05–00:10 — He walks into a narrow residential alley with slow, deliberate steps, hands loosely clasped behind his back. A stray cat approaches. He stops, bends down carefully with one hand braced on his knee, and gently scratches its head. Autofocus shifts imperfectly between his face and the cat. 00:10–00:15 — In a small front yard, he waters a row of potted plants with a dented metal watering can, pausing to pick off a dead leaf. Water drips naturally while sunlight and cloud shadows subtly change the exposure. 00:15–00:20 — He sits on a quiet terrace with a small ceramic cup of barley tea, casually watching the neighborhood, one hand resting on his knee. He exhales slowly, content. Handheld side angle with natural camera drift. 00:20–00:25 — Close side profile. Someone off-camera casually greets him. He turns unhurriedly, smiles warmly with deep creases around his eyes, raises his hand slightly and naturally says, "어, 안녕하세요." The camera reacts slightly late. 00:25–00:30 — He walks slowly down a tree-lined residential lane, hands behind his back, newspaper tucked under one arm. He notices the camera, gives a small amused nod, then looks away and continues walking. The recording abruptly cuts to black mid-motion like an old camcorder being switched off. AUDIO: Only authentic location sound: birds, distant motorcycles, light wind, rustling leaves, faint neighborhood chatter, cat sounds, slow footsteps on concrete, water trickling from the can and subtle residential ambience. Natural Korean speech only. No music, narration, cinematic sound effects, or artificial sound design. GOAL: Make it feel like a forgotten personal home video from the early 2000s — intimate, spontaneous, imperfect, warm, mundane and deeply believable. Prioritize realistic human motion, natural facial expressions, physical interaction, environmental detail and consistent identity over cinematic beauty.

i can't believe this is how far ai video has come... seedance 2.5, prompt: Prompt: Create a 30-second ultra-realistic candid home-video sequence of an elderly Korean man in his mid-70s living an ordinary late morning in a quiet Korean residential neighborhood. SUBJECT: Elderly Korean man, natural everyday appearance, realistic weathered skin texture, deep smile lines and age spots, short thinning grey hair neatly combed back, slightly stooped but sturdy posture. Loose beige button-up short-sleeve shirt, dark grey slacks worn slightly high on the waist, brown leather sandals over thin grey socks, simple metal wristwatch. Warm, unhurried personality. Keep his face, body, hairstyle, clothing, and appearance perfectly consistent throughout. SETTING: Authentic Korean residential neighborhood — narrow concrete alleys, low-rise homes, small terraces, potted plants, laundry lines, bicycles, utility poles, overhead wires and mature trees. Quiet, lived-in atmosphere. No shops, advertisements, crowds, cafés, or commercial activity. VISUAL STYLE: Ultra-realistic documentary home-video footage from an early-2000s consumer DV camcorder. Imperfect handheld operation, natural camera shake, awkward framing, occasional reframing, autofocus hunting, slight lens breathing, exposure pumping between sunlight and shade, subtle motion blur, mild rolling shutter, faded colors, soft contrast, slight digital compression and sensor noise. No stabilization, no cinematic camera moves, no modern color grading. Everything must feel genuinely captured, not AI-generated. TIMELINE: 00:00–00:05 — Outside his small house, he sits on a low concrete wall slowly fanning himself with a folded newspaper. Wind moves the leaves above him. He squints slightly into the light and gives a small easy smile while the camera struggles to lock focus. 00:05–00:10 — He walks into a narrow residential alley with slow, deliberate steps, hands loosely clasped behind his back. A stray cat approaches. He stops, bends down carefully with one hand braced on his knee, and gently scratches its head. Autofocus shifts imperfectly between his face and the cat. 00:10–00:15 — In a small front yard, he waters a row of potted plants with a dented metal watering can, pausing to pick off a dead leaf. Water drips naturally while sunlight and cloud shadows subtly change the exposure. 00:15–00:20 — He sits on a quiet terrace with a small ceramic cup of barley tea, casually watching the neighborhood, one hand resting on his knee. He exhales slowly, content. Handheld side angle with natural camera drift. 00:20–00:25 — Close side profile. Someone off-camera casually greets him. He turns unhurriedly, smiles warmly with deep creases around his eyes, raises his hand slightly and naturally says, "어, 안녕하세요." The camera reacts slightly late. 00:25–00:30 — He walks slowly down a tree-lined residential lane, hands behind his back, newspaper tucked under one arm. He notices the camera, gives a small amused nod, then looks away and continues walking. The recording abruptly cuts to black mid-motion like an old camcorder being switched off. AUDIO: Only authentic location sound: birds, distant motorcycles, light wind, rustling leaves, faint neighborhood chatter, cat sounds, slow footsteps on concrete, water trickling from the can and subtle residential ambience. Natural Korean speech only. No music, narration, cinematic sound effects, or artificial sound design. GOAL: Make it feel like a forgotten personal home video from the early 2000s — intimate, spontaneous, imperfect, warm, mundane and deeply believable. Prioritize realistic human motion, natural facial expressions, physical interaction, environmental detail and consistent identity over cinematic beauty.

60,334 views

1 prompt. Seedance 2.0. GG's china.

1 prompt. Seedance 2.0. GG's china.

186,762 views

more seedance 2.5 realism tests: > it always makes the arms a bit too long > shot selection is pretty insane > audio is a bit sub par, needs more work > in aggregate, can 100% pass as real (read the article below for full guide) prompt: Create an exactly 15-second photorealistic shopping vlog in 16:9: extremely sharp 4K compact-camera detail, natural HDR, accurate skin, realistic motion and perfect identity continuity. No VHS, grain, subtitles, logos, watermarks or graphics. SUBJECT: A 21-year-old American woman with long wavy chestnut hair, light everyday makeup and an expressive, approachable face. Fitted black long-sleeve top, light-blue straight jeans, sneakers and a small black shoulder bag. Keep her face, hair, outfit, bag and jewellery identical through every cut. She talks like a normal friend, never a presenter. STORE: A large modern high-street womenswear shop resembling an upscale European fast-fashion retailer without real branding. Cream walls, black fixtures, mirrors, warm-neutral spotlights, polished floor, fitting rooms, folded denim and dense racks of blazers, tops, dresses, knitwear and trousers. Adult shoppers browse independently. No readable brands, signs, price tags or labels. CAMERA: The same compact camera stays in her hand throughout. Every frame is one-handed arm’s-length selfie, her mirror reflection holding it, or her rotating it outward to show clothes. Never place it down, prop it up, pass it to anyone or use an external angle. Sharp 20–24mm-equivalent wide lens, mild barrel distortion, deep focus, reliable eye autofocus and true 24fps with 1/48-second blur. Stabilization controls impacts but retains footstep bob, wrist sway, breathing, grip shifts, late pans and imperfect reframing. Preserve pores, flyaways, teeth, fabric and accurate reflections without beauty filtering or fake bokeh. Exposure stays face-priority but shifts subtly between mirrored aisles and the fitting-room corridor. Fast wrist turns show slight rolling-shutter skew and natural background blur while her face and garments remain sharply resolved. EDITING IS CRITICAL: Use 12 clips and 11 hard jump cuts. Most cuts remain in the same aisle or beside the same rack, with only a small jump in pose, expression, camera distance, garment position or sentence. Remove mundane pauses and bits of walking. Cut mid-gesture, during camera turns and inside sentences for the fast rhythm of an edited social vlog. Geography and identity stay coherent despite time compression. No fades, transitions, whip effects or cinematic montage. Cuts are not beat-synced; some happen for no narrative reason and simply skip a fraction of an ordinary action. CLIP 1 — 0.0–1.2: Walking into the store in loose selfie framing: “Okay, I’m literally just getting—” CLIP 2 — 1.2–2.3: Jump cut a few steps inside, nearly the same angle but her hair and bag have shifted: “—one top. That’s it.” CLIP 3 — 2.3–3.4: She rotates the camera toward a crowded rack and slides hangers with her free hand. Hangers clack; no dialogue. CLIP 4 — 3.4–4.6: Jump cut beside the same rack. In selfie view she holds a dark-red top against herself: “Wait, this is cute.” CLIP 5 — 4.6–5.5: Cut to a nearby mirror, camera visible in her hand. She checks the top. Her female friend, mostly off-camera, says, “No.” She turns: “Really?” CLIP 6 — 5.5–6.4: Close selfie micro-cut in the same spot. She laughs: “Okay, rude.” CLIP 7 — 6.4–7.6: She rotates toward a blazer rail and pulls out a charcoal jacket. Focus briefly transfers from mirror to fabric. CLIP 8 — 7.6–8.8: Jump cut in the same aisle. The top and jacket now rest over her free arm. Looking down: “Why do I already have four things?” CLIP 9 — 8.8–9.8: Near-identical angle after another micro-cut. Friend: “Because you picked them up.” She smiles: “Fair.” CLIP 10 — 9.8–11.2: Cut to her walking past another rack. She pans across dresses, passes the item she wants, then corrects back. No dialogue. CLIP 11 — 11.2–13.2: Mirror near the fitting rooms. Holding the jacket against herself: “Do I need this?” Friend: “No.” She smiles, ignoring the answer. CLIP 12 — 13.2–15.0: Close walking selfie approaching the fitting rooms, garments over her free arm: “Okay, I’m trying it on.”

more seedance 2.5 realism tests: > it always makes the arms a bit too long > shot selection is pretty insane > audio is a bit sub par, needs more work > in aggregate, can 100% pass as real (read the article below for full guide) prompt: Create an exactly 15-second photorealistic shopping vlog in 16:9: extremely sharp 4K compact-camera detail, natural HDR, accurate skin, realistic motion and perfect identity continuity. No VHS, grain, subtitles, logos, watermarks or graphics. SUBJECT: A 21-year-old American woman with long wavy chestnut hair, light everyday makeup and an expressive, approachable face. Fitted black long-sleeve top, light-blue straight jeans, sneakers and a small black shoulder bag. Keep her face, hair, outfit, bag and jewellery identical through every cut. She talks like a normal friend, never a presenter. STORE: A large modern high-street womenswear shop resembling an upscale European fast-fashion retailer without real branding. Cream walls, black fixtures, mirrors, warm-neutral spotlights, polished floor, fitting rooms, folded denim and dense racks of blazers, tops, dresses, knitwear and trousers. Adult shoppers browse independently. No readable brands, signs, price tags or labels. CAMERA: The same compact camera stays in her hand throughout. Every frame is one-handed arm’s-length selfie, her mirror reflection holding it, or her rotating it outward to show clothes. Never place it down, prop it up, pass it to anyone or use an external angle. Sharp 20–24mm-equivalent wide lens, mild barrel distortion, deep focus, reliable eye autofocus and true 24fps with 1/48-second blur. Stabilization controls impacts but retains footstep bob, wrist sway, breathing, grip shifts, late pans and imperfect reframing. Preserve pores, flyaways, teeth, fabric and accurate reflections without beauty filtering or fake bokeh. Exposure stays face-priority but shifts subtly between mirrored aisles and the fitting-room corridor. Fast wrist turns show slight rolling-shutter skew and natural background blur while her face and garments remain sharply resolved. EDITING IS CRITICAL: Use 12 clips and 11 hard jump cuts. Most cuts remain in the same aisle or beside the same rack, with only a small jump in pose, expression, camera distance, garment position or sentence. Remove mundane pauses and bits of walking. Cut mid-gesture, during camera turns and inside sentences for the fast rhythm of an edited social vlog. Geography and identity stay coherent despite time compression. No fades, transitions, whip effects or cinematic montage. Cuts are not beat-synced; some happen for no narrative reason and simply skip a fraction of an ordinary action. CLIP 1 — 0.0–1.2: Walking into the store in loose selfie framing: “Okay, I’m literally just getting—” CLIP 2 — 1.2–2.3: Jump cut a few steps inside, nearly the same angle but her hair and bag have shifted: “—one top. That’s it.” CLIP 3 — 2.3–3.4: She rotates the camera toward a crowded rack and slides hangers with her free hand. Hangers clack; no dialogue. CLIP 4 — 3.4–4.6: Jump cut beside the same rack. In selfie view she holds a dark-red top against herself: “Wait, this is cute.” CLIP 5 — 4.6–5.5: Cut to a nearby mirror, camera visible in her hand. She checks the top. Her female friend, mostly off-camera, says, “No.” She turns: “Really?” CLIP 6 — 5.5–6.4: Close selfie micro-cut in the same spot. She laughs: “Okay, rude.” CLIP 7 — 6.4–7.6: She rotates toward a blazer rail and pulls out a charcoal jacket. Focus briefly transfers from mirror to fabric. CLIP 8 — 7.6–8.8: Jump cut in the same aisle. The top and jacket now rest over her free arm. Looking down: “Why do I already have four things?” CLIP 9 — 8.8–9.8: Near-identical angle after another micro-cut. Friend: “Because you picked them up.” She smiles: “Fair.” CLIP 10 — 9.8–11.2: Cut to her walking past another rack. She pans across dresses, passes the item she wants, then corrects back. No dialogue. CLIP 11 — 11.2–13.2: Mirror near the fitting rooms. Holding the jacket against herself: “Do I need this?” Friend: “No.” She smiles, ignoring the answer. CLIP 12 — 13.2–15.0: Close walking selfie approaching the fitting rooms, garments over her free arm: “Okay, I’m trying it on.”

29,044 views

i use one tool that gets me 5x better results from veo 3.1 and hailuo 2.3... if you're not effectively prompting camera motion, you're using these models at 50% capacity casual direction like "zoom in" or "circle around" doesn't work, video models need actual cinematography language: - [truck left, pan right, tracking shot] - [push in, pedestal up] - [dolly back, tilt down] so i built a claude skill that translates for you you describe what you want -> it converts to proper film terminology -> AI executes it way better this was initially made for my team, but i'm sharing it with you guys... reply "angles" + RT and i'll send it over (must be following so i can dm)

i use one tool that gets me 5x better results from veo 3.1 and hailuo 2.3... if you're not effectively prompting camera motion, you're using these models at 50% capacity casual direction like "zoom in" or "circle around" doesn't work, video models need actual cinematography language: - [truck left, pan right, tracking shot] - [push in, pedestal up] - [dolly back, tilt down] so i built a claude skill that translates for you you describe what you want -> it converts to proper film terminology -> AI executes it way better this was initially made for my team, but i'm sharing it with you guys... reply "angles" + RT and i'll send it over (must be following so i can dm)

112,128 views

you can 10x the quality of the videos you create by being ruthless about where you take inspo from… there’s a huge difference between creators that have an amazing reference bank vs just trying to rip “what’s currently working” on the X timeline i built a huge a swipe file which includes: - the best commercials from the last 10 years - critically acclaimed movie trailers - random clips I couldn't look away from rt + comment "swipe" and I'll send over the file (must be following)

you can 10x the quality of the videos you create by being ruthless about where you take inspo from… there’s a huge difference between creators that have an amazing reference bank vs just trying to rip “what’s currently working” on the X timeline i built a huge a swipe file which includes: - the best commercials from the last 10 years - critically acclaimed movie trailers - random clips I couldn't look away from rt + comment "swipe" and I'll send over the file (must be following)

42,247 views

more animation tests with this style made with Midjourney v8.2, GPT 2, and seedance 2.0

more animation tests with this style made with Midjourney v8.2, GPT 2, and seedance 2.0

12,253 views

when working on an ad, 100 hours of work can go to waste just because of a bad hook... it could've been your life changing project, but it doesn't matter how good your product is or how clean your edit looks... if the first half-second doesn't land... you're cooked i've collected 20 of the sharpest hooks i've seen across both AI and real footage - stuff that actually stops people mid-scroll, and i compiled it into a list (with links to original content) like + rt + reply "HOOKS" and i'll send them over (gotta follow so i can dm

when working on an ad, 100 hours of work can go to waste just because of a bad hook... it could've been your life changing project, but it doesn't matter how good your product is or how clean your edit looks... if the first half-second doesn't land... you're cooked i've collected 20 of the sharpest hooks i've seen across both AI and real footage - stuff that actually stops people mid-scroll, and i compiled it into a list (with links to original content) like + rt + reply "HOOKS" and i'll send them over (gotta follow so i can dm

43,688 views

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